Fazle Mawla Wahyuhanda commited on
Commit
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1 Parent(s): 018b91c
data/building.csv ADDED
@@ -0,0 +1,175 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ name,category,tag,latitude,longitude
2
+ Politeknik Perkapalan Negeri Surabaya,amenity,university,-7.277814,112.7957094
3
+ Institut Teknologi Sepuluh Nopember,amenity,university,-7.282858902999984,112.79513353316325
4
+ Politeknik Elektronika Negeri Surabaya,amenity,university,-7.276512549857658,112.79422020369289
5
+ Perpustakaan ITS,amenity,library,-7.2816156540142885,112.79547855284059
6
+ Musholah dewa ruci,amenity,place_of_worship,-7.2782775,112.7954339
7
+ Masjid Bahrul Ulum PPNS,amenity,place_of_worship,-7.2780035,112.7943798
8
+ Mushola Vokasi,amenity,place_of_worship,-7.278582324123819,112.79248706238522
9
+ Masjid Manarul Ilmi,amenity,place_of_worship,-7.282358262431876,112.79307774836643
10
+ Medical Center ITS,amenity,clinic,-7.290352099999999,112.7928406
11
+ Cafetaria Informatika,amenity,fast_food,-7.280065821625434,112.79701237473995
12
+ Cafetaria Informatika,amenity,restaurant,-7.2800621,112.7970129
13
+ Bank Mandiri,amenity,atm,-7.2834389,112.7938908
14
+ BNI,amenity,atm,-7.2838707,112.7937351
15
+ BRI,amenity,atm,-7.2824987,112.7942755
16
+ Bank BTN,amenity,atm,-7.2903568,112.7931063
17
+ Parkir Perpustakaan ITS,amenity,parking,-7.28143,112.7957744
18
+ Tempat Parkir D3,amenity,parking,-7.279076605574643,112.79224550945217
19
+ Tempat Parkir,amenity,parking,-7.2852878500000005,112.79667960000002
20
+ Parkir FMIPA,amenity,parking,-7.28441704614129,112.79365994278062
21
+ Parkir Motor FMIPA,amenity,parking,-7.28474534861424,112.79376845555014
22
+ Parkir FTK,amenity,parking,-7.281460215612641,112.79686229095007
23
+ Parkir Mobil Masjin Manarul Ilmi,amenity,parking,-7.281773036395038,112.79302700959721
24
+ Parkir Motor Masjid Manarul Ilmi ITS,amenity,parking,-7.282161869869405,112.79262073615214
25
+ Parkir Mobil Belakang Rektorat,amenity,parking,-7.280928790268896,112.79443997572663
26
+ Parkir Motor BAAK,amenity,parking,-7.283107201337638,112.79391788242181
27
+ Parkir Mobil Jurusan Arsitektur,amenity,parking,-7.281430642219311,112.79374072525805
28
+ Parkiran Pertamina,amenity,parking,-7.284212374866201,112.79171965577423
29
+ Urban And Regional Planning Parking Lot,amenity,parking,-7.279404352053493,112.79462467428685
30
+ Kantin Ijo Teknik Fisika,amenity,canteen,-7.2841979,112.7961975
31
+ Kantin Teknik Mesin ITS,amenity,canteen,-7.2845661,112.7966918
32
+ Kantin Teknik Sipil ITS,amenity,canteen,-7.2799793,112.7931936
33
+ Kantin Geomatika ITS,amenity,canteen,-7.2801561,112.7944253
34
+ Kantin Studi Pembangunan ITS,amenity,canteen,-7.2825516,112.7952879
35
+ Kantin Biologi ITS,amenity,canteen,-7.2857002,112.7942749
36
+ Kantin Teknik Kimia ITS,amenity,canteen,-7.2826632,112.7971858
37
+ Kantin FTK ITS,amenity,canteen,-7.2819204,112.7968785
38
+ Kantin Vokasi ITS,amenity,canteen,-7.2785203,112.7923976
39
+ Kantin Despro ITS,amenity,canteen,-7.278683,112.7963064
40
+ Kantin Arsitektur ITS,amenity,canteen,-7.2803376,112.7940787
41
+ Kantin Teknik Lingkungan ITS,amenity,canteen,-7.2796056,112.7930042
42
+ Danau Informatika,natural,water,-7.278961846897741,112.79737939025831
43
+ Danau Asrama ITS,natural,water,-7.288202941304609,112.79249990300313
44
+ Kolam Graha Sepuluh Nopember,natural,water,-7.277186329201657,112.79060486221249
45
+ Kolam Rektorat / Air Mancur Rektorat,natural,water,-7.281832560223767,112.79416049655374
46
+ Danau,natural,water,-7.2863760102098984,112.79480653938828
47
+ Danau,natural,water,-7.284172710212315,112.79483285913608
48
+ Kolam Jurusan Manajemen Bisnis,natural,water,-7.27763059913341,112.79221718438257
49
+ Kolam SCC,natural,water,-7.283675150000001,112.79383705
50
+ Danau 8 ITS,natural,water,-7.28671076378375,112.79604940490199
51
+ Danau Elektro,natural,water,-7.285483768962375,112.79560667863888
52
+ Badan RIset dan Inovasi Nasional (BRIN),office,government,-7.280258788322845,112.79933037141109
53
+ Pos Security 1 BTH,office,government,-7.279750474817748,112.79814274170242
54
+ Pos Security 2 BRIN,office,government,-7.2799017500000005,112.80080359999998
55
+ Cavitation Tunnel,office,government,-7.28077365,112.79918375000001
56
+ Towing Tank,office,government,-7.280869667326963,112.79917306455054
57
+ MOB (Maneuvering and Ocean Engineering Basin),office,government,-7.281350649461998,112.79928410297725
58
+ Raman BAAK-ITS,leisure,park,-7.2829532,112.79426629999998
59
+ Taman Alumni ITS,leisure,park,-7.280684295277475,112.79209033394702
60
+ Taman Perkapalan,leisure,park,-7.282466692709302,112.79587440652061
61
+ Taman Segitiga ITS,leisure,park,-7.281349133333333,112.79290643333334
62
+ Taman Statistika,leisure,park,-7.285362779769212,112.79489121219835
63
+ Parkiran Pertamina,leisure,park,-7.284212374866201,112.79171965577423
64
+ Taman Benzena,leisure,park,-7.283729512870509,112.79462741135414
65
+ Taman Teknik Fisika,leisure,garden,-7.284068294049532,112.79607617521806
66
+ GOR ITS,leisure,sports_centre,-7.286742004112511,112.79299336062066
67
+ Lapangan Futsal Teknik Sipil,leisure,pitch,-7.2802756251856255,112.79385170514139
68
+ Lapangan futsal,leisure,pitch,-7.277619925330766,112.79342045482073
69
+ Stadion ITS,leisure,pitch,-7.285381149999998,112.79238624999999
70
+ Lapangan Basket ITS,leisure,pitch,-7.285804650000001,112.79322415
71
+ Futsal ITS,leisure,pitch,-7.287264300000003,112.79273330000002
72
+ Lapangan Basket ITS,leisure,pitch,-7.285235022913966,112.79316010508262
73
+ Lapangan Futsal Pertamina,leisure,pitch,-7.2837102355054215,112.7919342978542
74
+ Lapangan Tenis ITS,leisure,pitch,-7.283759984687287,112.7925169251226
75
+ Lapangan Tenis ITS,leisure,pitch,-7.283761883379279,112.79272327410597
76
+ Lapangan Voli ITS,leisure,pitch,-7.28416742486342,112.79290870572272
77
+ lapangan pwk,leisure,pitch,-7.2790946850601195,112.79467953651469
78
+ Fakultas Vokasi ITS Institut Teknologi Sepuluh Nopember,building,university,-7.2785567,112.7915566
79
+ Graha Sepuluh Nopember,building,university,-7.276930686694935,112.79156434265195
80
+ D3 Mesin,building,university,-7.2785116,112.79185194999997
81
+ Departemen Teknik Instrumentasi,building,university,-7.278291100409115,112.79224821363998
82
+ REKTORAT Institut Teknologi Sepuluh Nopember,building,university,-7.2814418056610535,112.79458321438318
83
+ UPT Bahasa,building,university,-7.276931491741654,112.79281440783622
84
+ "Gedung D3 (Teknik Mesin, Elektro, Kimia)",building,university,-7.278763900974904,112.79251624034082
85
+ Kantor Satuan Keamanan Kampus,building,university,-7.282690250000001,112.79445785000001
86
+ Puskom,building,university,-7.283000650000001,112.79490269999998
87
+ Lab Bahasa,building,university,-7.282559705945806,112.79559650593465
88
+ Kimia,building,university,-7.283877094402955,112.79472909946949
89
+ UPMS,building,university,-7.282456499751433,112.79537662372583
90
+ Jurusan Arsitektur ITS,building,university,-7.280798365733,112.79415422488168
91
+ SCC,building,university,-7.283446349999999,112.79359244999999
92
+ BAUK ITS,building,university,-7.282751197548398,112.79476879762427
93
+ Informatika,building,university,-7.2795579661202865,112.79734730523772
94
+ Gedung Nasdec ITS,building,university,-7.279100421716968,112.7984336898448
95
+ Rektorat PPNS,building,university,-7.277504820736147,112.795864811526
96
+ Parkir asrama,building,university,-7.288103410188068,112.79188085387231
97
+ Despro,building,university,-7.278790241181794,112.796501655338
98
+ Biologi,building,university,-7.285930138168589,112.7940209946373
99
+ UPT Fasor,building,university,-7.284874719141618,112.79317262773684
100
+ departemen perencanaan wilayah dan kota,building,university,-7.279671649999999,112.7940897
101
+ Teknik Lingkungan ITS,building,university,-7.279731565837119,112.79261574567427
102
+ Pos SKK Utama,building,university,-7.279723200639669,112.79105547088868
103
+ Departemen Perencanaan Wilayah dan Kota,building,university,-7.2797085982499805,112.79443389998659
104
+ Jurusan Teknik Perkapalan,building,university,-7.281803149999999,112.79729005
105
+ Gedung Teknik Kelautan Institut Teknologi Sepuluh Nopember,building,university,-7.282125027083772,112.79636822330616
106
+ Teknik Kelautan,building,university,-7.281747438912426,112.79697516321924
107
+ Laboratorium Energi,building,university,-7.277210061298948,112.79796545912231
108
+ Gedung Pusat Robotika ITS,building,university,-7.277027531409098,112.79793675783395
109
+ Teknik Kimia ITS,building,university,-7.282994265126494,112.796706773839
110
+ Jurusan Material & Metalurgi,building,university,-7.285109252839094,112.79782684792583
111
+ Teknik Perkapalan ITS,building,university,-7.282111474604475,112.79721530857837
112
+ Sistem Perkapalan,building,university,-7.28212538602227,112.79674002911635
113
+ Teknik Fisika,building,university,-7.2844267123797914,112.7956600957362
114
+ Teknik Mesin,building,university,-7.284354584086797,112.79610221637942
115
+ Teknik Elektro ITS,building,university,-7.284926377363357,112.79607765605068
116
+ kimia,building,university,-7.284045570016184,112.79528381011015
117
+ Statistika,building,university,-7.285421101897423,112.7941195247599
118
+ Fisika,building,university,-7.2845048410920965,112.79482665252316
119
+ Matematika,building,university,-7.284937868470367,112.7949950480046
120
+ Matematika,building,university,-7.285284562443259,112.79465861304409
121
+ Lab Rekayasa Forensik,building,university,-7.27677765,112.79672419999999
122
+ Teknik Komputer,building,university,-7.284464092805576,112.79657413484104
123
+ Tempat Parkir,building,university,-7.2852878500000005,112.79667960000002
124
+ Teknik Sipil,building,university,-7.280768654778644,112.79332114955022
125
+ Gedung Laboratorium Energi,building,university,-7.280650844935338,112.79600432435846
126
+ LPPM ITS,building,university,-7.280874100000002,112.79618354999998
127
+ Teknik Geomatika ITS,building,university,-7.280096565622693,112.79466338479287
128
+ Lorong Geomatika,building,university,-7.281049056170488,112.79522639194936
129
+ Selasar,building,university,-7.281877083911909,112.79488349863904
130
+ Gedung Robotika ITS,building,university,-7.277320881510957,112.79755789626239
131
+ Arsitektur,building,university,-7.281237249999999,112.79407119999998
132
+ Teknik Sipil,building,university,-7.280500036143414,112.79361312935022
133
+ gazebo arsitektur,building,university,-7.280379567469633,112.79402898422335
134
+ Lorong Perpus FTK UPMS,building,university,-7.282177934642003,112.79580488648998
135
+ Teknik Sipil,building,university,-7.280890101597046,112.79369296582786
136
+ sekretariat JMMI TPKI ITS,building,university,-7.282590617635268,112.79260462918278
137
+ Jurusan Teknik Sipil ITS,building,university,-7.280261157929847,112.79315619143779
138
+ Jurusan Teknik Sipil,building,university,-7.280007395128232,112.79334164206414
139
+ Jurusan Teknik Sipil,building,university,-7.28022126234238,112.79365840257385
140
+ Mobil Listrik Nasional,building,university,-7.289281499999999,112.79655865
141
+ Gedung Pusat Riset ITS,building,university,-7.281146393438223,112.79729360809456
142
+ Gedung UPMB dan Pascasarjana ITS,building,university,-7.280577196317919,112.79536362274148
143
+ Biologi FMIPA ITS,building,university,-7.285693403462255,112.79431590242501
144
+ Biologi FMIPA ITS,building,university,-7.2858128634832555,112.79450171065278
145
+ Gedung Teater A,building,university,-7.283415141643094,112.79508727680252
146
+ Biologi ITS,building,university,-7.285947923348112,112.79453599838152
147
+ Theater B,building,university,-7.284257387413443,112.79508555719435
148
+ Theater C,building,university,-7.28460441938795,112.79531908563204
149
+ Kantin Pusat ITS,building,university,-7.283841480755714,112.7941133436398
150
+ tekling,building,university,-7.279848496671001,112.79298160378364
151
+ VibrasticLab,building,university,-7.283753505486431,112.79589313639075
152
+ MIPA Tower,building,university,-7.284966524579606,112.79408628716156
153
+ Lab-lab TF,building,university,-7.283762314299924,112.79614841836423
154
+ Teknik Industri,building,university,-7.283771094509633,112.79750212385753
155
+ Teknik Geomatika ITS,building,university,-7.279969259757369,112.79501579767322
156
+ Departemen Statistika Bisnis,building,university,-7.278154349819347,112.79272267111071
157
+ Plaza Supeno,building,university,-7.279583098565077,112.79719960799368
158
+ Tower 2 ITS,building,university,-7.2852455945224035,112.7953423754262
159
+ Asrama PENS-ITS,building,dormitory,-7.276032830386092,112.79584785911769
160
+ Asrama PENS-ITS,building,dormitory,-7.27596025,112.79599379999999
161
+ Asrama PENS-ITS,building,dormitory,-7.275950528973307,112.79563054073262
162
+ Asrama ITS,building,dormitory,-7.287655850000001,112.79242620000001
163
+ Asrama ITS,building,dormitory,-7.2881796,112.79092865000003
164
+ Asrama ITS,building,dormitory,-7.2876473,112.79216809999997
165
+ Asrama ITS,building,dormitory,-7.287286404066658,112.79171087445334
166
+ Asrama ITS,building,dormitory,-7.289010948351,112.79168502654451
167
+ Asrama ITS,building,dormitory,-7.28789205,112.7914089
168
+ Asrama ITS,building,dormitory,-7.288631299999999,112.79146015
169
+ Asrama ITS,building,dormitory,-7.287634272600553,112.79104398509223
170
+ Asrama ITS,building,dormitory,-7.287786626179996,112.79031307138571
171
+ ITS International Dormitory,building,dormitory,-7.290259896406574,112.79339944950415
172
+ Asrama Mahasiswa ITS,building,dormitory,-7.289021389359106,112.79041955411071
173
+ ITS International Dormitory,building,dormitory,-7.286927671506703,112.79548390955074
174
+ Asrama ITS,building,dormitory,-7.289034860835026,112.7908905240059
175
+ Medical Center ITS,healthcare,clinic,-7.290352099999999,112.7928406
data/menu_with_tags.csv ADDED
@@ -0,0 +1,163 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ location,menu,price,category,tags
2
+ "Cafetaria Informatika","nasi campur",">10000","Nasi","nasi, lauk campur, karbohidrat, protein"
3
+ "Cafetaria Informatika","nasi goreng",">15000","Nasi","nasi, goreng, berminyak, karbohidrat"
4
+ "Cafetaria Informatika","kwetiau","13000","Mie","mie, kwetiau, karbohidrat"
5
+ "Cafetaria Informatika","mie ayam","15000","Mie","mie, ayam, protein, karbohidrat"
6
+ "Cafetaria Informatika","ayam geprek","16000","Ayam","ayam, protein, pedas, geprek, nasi"
7
+ "Cafetaria Informatika","ayam geprek salted egg","18000","Ayam","ayam, protein, pedas, geprek, salted egg"
8
+ "Cafetaria Informatika","siomay","16000","Snack","siomay, protein, cemilan"
9
+ "Cafetaria Informatika","siomay goreng","18000","Snack","siomay, protein, berminyak, cemilan"
10
+ "Cafetaria Informatika","batagor","6000","Snack","goreng, berminyak, cemilan"
11
+ "Cafetaria Informatika","bakpao","6000","Snack","bakpao, cemilan"
12
+ "Cafetaria Informatika","air mineral","4000","Minuman","air, minuman"
13
+ "Cafetaria Informatika","es teh manis","5000","Minuman","es teh, manis, minuman"
14
+ "Cafetaria Informatika","minuman manis",">5000","Minuman","es, manis, minuman"
15
+ "Kantin Ijo Teknik Fisika","onigiri sego njamoer",">7000","Snack","nasi, jamur, karbohidrat, cemilan, pedas"
16
+ "Kantin Ijo Teknik Fisika","cireng njamoer","11000","Snack","cemilan, jamur, pedas, cireng, goreng"
17
+ "Kantin Ijo Teknik Fisika","sego njamoer",">14000","Nasi","nasi, jamur, goreng, protein, karbohidrat"
18
+ "Kantin Ijo Teknik Fisika","rawon","13000","Soup","kuah, daging, protein, rempah"
19
+ "Kantin Ijo Teknik Fisika","soto daging","13000","Soup","kuah, daging, protein, soto"
20
+ "Kantin Ijo Teknik Fisika","nasi lodeh ayam","12000","Ayam","nasi, ayam, kuah, protein"
21
+ "Kantin Ijo Teknik Fisika","nasi lodeh pindang","10000","Seafood","nasi, ikan, kuah, protein"
22
+ "Kantin Ijo Teknik Fisika","bakso",">13000","Soup","kuah, bakso, daging, protein"
23
+ "Kantin Ijo Teknik Fisika","mie ayam bakso",">13000","Mie","mie, ayam, bakso, protein, karbohidrat"
24
+ "Kantin Ijo Teknik Fisika","nasi bebek","13000","Nasi","nasi, bebek, protein, karbohidrat"
25
+ "Kantin Ijo Teknik Fisika","nasi babat paru","12000","Daging","nasi, babat, paru, protein, karbohidrat"
26
+ "Kantin Ijo Teknik Fisika","nasi cumi hitam","13000","Seafood","nasi, cumi, seafood, karbohidrat"
27
+ "Kantin Ijo Teknik Fisika","nasi ayam gorengl","12000","Ayam","ayam, goreng, nasi, protein, karbohidrat"
28
+ "Kantin Ijo Teknik Fisika","sate taichan + nasi","12000","Daging","sate, nasi, protein, karbohidrat"
29
+ "Kantin Ijo Teknik Fisika","jus buah",">9000","Minuman","jus, buah, minuman, es"
30
+ "Kantin Ijo Teknik Fisika","minuman kemasan",">4000","Minuman","manis, es, teh, kopi, minuman"
31
+ "Kantin Teknik Mesin ITS","nasi campur",">13000","Nasi","nasi, karbohidrat, protein, lauk campur"
32
+ "Kantin Teknik Mesin ITS","rawon","13000","Soup","kuah, nasi, daging, protein"
33
+ "Kantin Teknik Mesin ITS","soto","13000","Soup","kuah, nasi, ayam, protein"
34
+ "Kantin Teknik Mesin ITS","bakso","13000","Soup","kuah, daging, protein, bakso"
35
+ "Kantin Geomatika ITS","ayam katsu","17000","Ayam","nasi, ayam, katsu, protein, karbohidrat"
36
+ "Kantin Geomatika ITS","basko","12000","Soup","kuah, daging, bakso, protein"
37
+ "Kantin Geomatika ITS","telur gulung",">5000","Snack","telur, gulung, protein, berminyak"
38
+ "Kantin Geomatika ITS","nasi pecel","13000","Nasi","nasi, sayur, kacang, karbohidrat, sehat"
39
+ "Kantin Geomatika ITS","minuman manis",">4000","Minuman","manis, es, teh, kopi, minuman"
40
+ "Kantin Vokasi ITS","nasi lele","10000","Seafood","nasi, ikan, lele, protein, goreng"
41
+ "Kantin Vokasi ITS","mie tek-tek","11000","Mie","mie, karbohidrat, telur"
42
+ "Kantin Vokasi ITS","sayur asem","9000","Sehat","sayur, kuah asam, sehat"
43
+ "Kantin Vokasi ITS","bakso","12000","Soup","daging, protein, kuah, bakso"
44
+ "Kantin Vokasi ITS","nasi telur","10000","Nasi","nasi, telur, goreng, karbohidrat, protein"
45
+ "Kantin Vokasi ITS","nasi campur",">10000","Nasi","nasi, lauk campur, karbohidrat, protein"
46
+ "Kantin Studi Pembangunan ITS","nasi goreng","10000","Nasi","nasi, goreng, berminyak, karbohidrat"
47
+ "Kantin Studi Pembangunan ITS","mie rebus","10000","Mie","mie, rebus, karbohidrat, kuah"
48
+ "Kantin Studi Pembangunan ITS","ayam kecap","12000","Ayam","ayam, kecap, manis, protein"
49
+ "Kantin Studi Pembangunan ITS","soto ayam","12000","Soup","ayam, soto, kuah, protein"
50
+ "Kantin Studi Pembangunan ITS","bakso","12000","Soup","bakso, kuah, protein, daging"
51
+ "Kantin Studi Pembangunan ITS","mie ayam",">13000","Mie","mie, kuah, karbohidrat, ayam, protein"
52
+ "Kantin Studi Pembangunan ITS","nasi pecel",">10000","Sehat","nasi, karbohidrat, sayur, kacang, vegan friendly"
53
+ "Kantin Studi Pembangunan ITS","dimsum",">12000","Snack","dimsum, cemilan, protein"
54
+ "Kantin Studi Pembangunan ITS","ayam geprek","13000","Ayam","ayam, pedas, geprek, protein"
55
+ "Kantin Studi Pembangunan ITS","tahu tempe","9000","Sehat","tahu, tempe, vegan friendly, protein nabati"
56
+ "Kantin Studi Pembangunan ITS","bubur ayam","12000","Nasi","bubur, ayam, lembut, protein"
57
+ "Kantin Studi Pembangunan ITS","nasi kuning","13000","Nasi","nasi, kuning, lauk komplit"
58
+ "Kantin Studi Pembangunan ITS","nasi semur jengkol","13000","Nasi","jengkol, semur, khas, nasi"
59
+ "Kantin Studi Pembangunan ITS","sayur asem","10000","Sehat","sayur, segar, asam manis, sehat"
60
+ "Kantin Studi Pembangunan ITS","oseng tempe","10000","Sehat","tempe, oseng, pedas, protein nabati"
61
+ "Kantin Studi Pembangunan ITS","nasi uduk","13000","Nasi","nasi, gurih, lauk lengkap"
62
+ "Kantin Studi Pembangunan ITS","nasi lodeh","11000","Nasi","nasi, sayur lodeh, santan"
63
+ "Kantin Studi Pembangunan ITS","nasi mangut lele","14000","Seafood","lele, mangut, santan, nasi"
64
+ "Kantin Studi Pembangunan ITS","nasi kari ayam","13000","Ayam","kari, ayam, rempah, nasi"
65
+ "Kantin Studi Pembangunan ITS","nasi telur dadar","10000","Nasi","telur, dadar, nasi, protein"
66
+ "Kantin Studi Pembangunan ITS","rawon daging","14000","Soup","rawon, daging, protein, kuah"
67
+ "Kantin Studi Pembangunan ITS","lontong sayur","11000","Sehat","lontong, sayur, santan, sehat"
68
+ "Kantin Studi Pembangunan ITS","nasi sarden","12000","Seafood","ikan sarden, pedas, nasi, seafood"
69
+ "Kantin Biologi ITS","nasi sambal ati ampela","12000","Nasi","ati ampela, sambal, pedas, nasi"
70
+ "Kantin Biologi ITS","nasi rendang","14000","Daging","rendang, daging, padang, nasi"
71
+ "Kantin Biologi ITS","ayam geprek","13000","Ayam","ayam, geprek, pedas, protein"
72
+ "Kantin Biologi ITS","nasi uduk","12000","Nasi","nasi, gurih, lauk lengkap"
73
+ "Kantin Biologi ITS","nasi ayam","10000","Ayam","nasi, ayam, protein, karbohidrat"
74
+ "Kantin Biologi ITS","mie goreng","9000","Mie","mie, goreng, berminyak, karbohidrat"
75
+ "Kantin Biologi ITS","sayur lodeh","9500","Sehat","sayur, santan, vegan friendly, sehat"
76
+ "Kantin Biologi ITS","bakso","11000","Soup","bakso, protein, kuah, daging"
77
+ "Kantin Biologi ITS","soto ayam","12000","Soup","soto, ayam, hangat, kuah"
78
+ "Kantin Biologi ITS","nasi warteg Bu mami","13000","Nasi","nasi, lauk, warteg, rumahan"
79
+ "Kantin Biologi ITS","nasi goreng jawa","11000","Nasi","nasi, goreng, pedas, karbohidrat"
80
+ "Kantin Biologi ITS","mie goreng Jawa","10000","Mie","mie, goreng, karbohidrat, jawa"
81
+ "Kantin Biologi ITS","bihun goreng","9000","Mie","bihun, goreng, ringan, karbohidrat"
82
+ "Kantin Biologi ITS","tahu Tek","10000","Sehat","tahu, lontong, petis, kacang"
83
+ "Kantin Biologi ITS","bakso",">10000","Soup","bakso, kuah, protein, daging"
84
+ "Kantin Biologi ITS","sego njamoer",">9000","Sehat","nasi, jamur, karbohidrat, protein nabati"
85
+ "Kantin Biologi ITS","ayam bumbu rujak","12000","Ayam","ayam, bumbu rujak, protein"
86
+ "Kantin Biologi ITS","nasi ayam teriyaki","13000","Ayam","ayam, teriyaki, manis, nasi"
87
+ "Kantin Biologi ITS","nasi ayam sambal matah","13000","Ayam","ayam, sambal matah, pedas segar, nasi"
88
+ "Kantin Biologi ITS","nasi oseng buncis telur","11000","Sehat","buncis, telur, oseng, nasi, sayur"
89
+ "Kantin Biologi ITS","nasi tongkol balado","12000","Seafood","tongkol, balado, pedas, nasi, seafood"
90
+ "Kantin Teknik Kimia ITS","nasi soto","11000","Soup","nasi, soto, kuah, karbohidrat"
91
+ "Kantin Teknik Kimia ITS","nasi telur","10000","Nasi","nasi, telur, protein, karbohidrat"
92
+ "Kantin Teknik Kimia ITS","mie ayam","11000","Mie","mie, ayam, protein, karbohidrat"
93
+ "Kantin Teknik Kimia ITS","nasi goreng","12000","Nasi","nasi, goreng, berminyak, karbohidrat"
94
+ "Kantin Teknik Kimia ITS","ayam goreng",">11000","Ayam","ayam, goreng, berminyak, protein"
95
+ "Kantin Teknik Kimia ITS","bakso",">10000","Soup","bakso, kuah, protein, daging"
96
+ "Kantin Teknik Kimia ITS","capcay","12000","Sehat","sayur, vegan friendly, capcay"
97
+ "Kantin Teknik Kimia ITS","nasi gudeg","13000","Nasi","gudeg, telur, manis, nasi, tradisional"
98
+ "Kantin Teknik Kimia ITS","nasi bebek sambal ijo","15000","Nasi","bebek, sambal ijo, gurih, nasi"
99
+ "Kantin Teknik Kimia ITS","nasi ayam rica-rica","14000","Ayam","ayam, rica, pedas, nasi"
100
+ "Kantin Teknik Kimia ITS","nasi soto banjar","13000","Soup","soto, ayam, banjar, kuah"
101
+ "Kantin Teknik Kimia ITS","nasi bali ayam","13500","Ayam","ayam, bali, pedas manis, nasi"
102
+ "Kantin Teknik Kimia ITS","opor ayam","12000","Ayam","opor, ayam, santan, gurih"
103
+ "Kantin Teknik Kimia ITS","nasi kikil","14000","Daging","kikil, empuk, pedas, nasi"
104
+ "Kantin Teknik Kimia ITS","nasi campur bali","14000","Nasi","nasi, ayam suwir, sambal matah"
105
+ "Kantin Teknik Kimia ITS","tempe bacem","10000","Sehat","tempe, manis, tradisional, protein nabati"
106
+ "Kantin Teknik Kimia ITS","nasi kare ayam","12000","Ayam","kare, ayam, rempah, nasi"
107
+ "Kantin Teknik Kimia ITS","nasi cumi protein","14000","Seafood","cumi, protein, seafood, nasi"
108
+ "Kantin Teknik Kimia ITS","nasi ayam teriyaki","13000","Ayam","ayam, teriyaki, manis, nasi"
109
+ "Kantin Teknik Kimia ITS","nasi ayam sambal matah","13000","Ayam","ayam, sambal matah, pedas segar, nasi"
110
+ "Kantin FTK ITS","nasi goreng","10000","Nasi","nasi, goreng, berminyak, karbohidrat"
111
+ "Kantin FTK ITS","mie goreng","10000","Mie","mie, goreng, berminyak, karbohidrat"
112
+ "Kantin FTK ITS","ayam goreng","11000","Ayam","ayam, goreng, berminyak, protein"
113
+ "Kantin FTK ITS","soto ayam","11000","Soup","ayam, soto, kuah, protein"
114
+ "Kantin FTK ITS","tahu telur","10000","Sehat","telur, tahu, protein, vegan friendly"
115
+ "Kantin FTK ITS","bakso",">9000","Soup","bakso, kuah, protein, daging"
116
+ "Kantin FTK ITS","pecel",">10000","Sehat","sayur, kacang, sehat, nasi"
117
+ "Kantin FTK ITS","penyetan",">8000","Ayam","telur, tahu, penyetan, protein, sambal, pedas"
118
+ "Kantin FTK ITS","lontong balap","12000","Sehat","lontong, tahu, kecambah, sehat"
119
+ "Kantin FTK ITS","sayur bayam","-","Sehat","sayur, hijau, sehat, bayam"
120
+ "Kantin FTK ITS","sayur sop","-","Soup","sayur, kuah, wortel, sehat"
121
+ "Kantin FTK ITS","nasi campur",">10000","Nasi","nasi, lauk lengkap, rumahan"
122
+ "Kantin FTK ITS","nasi rames","13000","Nasi","nasi, lauk campur, ekonomis"
123
+ "Kantin FTK ITS","ayam goreng kremes","14000","Ayam","ayam, kremes, gurih, goreng"
124
+ "Kantin FTK ITS","ikan goreng","13000","Seafood","ikan, goreng, renyah, seafood"
125
+ "Kantin FTK ITS","tumis kangkung","10000","Sehat","kangkung, pedas, sehat, sayur"
126
+ "Kantin FTK ITS","nasi rawon","15000","Soup","rawon, daging, protein, kuah"
127
+ "Kantin FTK ITS","opor ayam","13000","Ayam","ayam, opor, santan, gurih"
128
+ "Kantin FTK ITS","nasi ayam rica-rica","14000","Ayam","ayam, rica, pedas, manado, nasi"
129
+ "Kantin FTK ITS","tahu bacem","10000","Sehat","tahu, manis, tradisional, protein nabati"
130
+ "Kantin FTK ITS","tempe orek","10000","Sehat","tempe, manis, pedas, protein nabati"
131
+ "Kantin FTK ITS","nasi ayam bumbu bali","13000","Ayam","ayam, bali, pedas manis, nasi"
132
+ "Kantin FTK ITS","nasi semur tahu tempe","11000","Sehat","semur, tahu, tempe, manis, nasi"
133
+ "Kantin Despro ITS","nasi campur",">10000","Nasi","nasi, lauk campur, karbohidrat"
134
+ "Kantin Despro ITS","nasi goreng","12000","Nasi","nasi, goreng, berminyak, karbohidrat"
135
+ "Kantin Despro ITS","nasi pecel","13000","Sehat","nasi, sayur, kacang, sehat"
136
+ "Kantin Despro ITS","nasi njamoer","12000","Sehat","nasi, jamur, karbohidrat, protein nabati"
137
+ "Kantin Despro ITS","ayam geprek","13000","Ayam","ayam, penyet/geprek, pedas, protein"
138
+ "Kantin Arsitektur ITS","bakso","14000","Soup","bakso, protein, kuah, daging"
139
+ "Kantin Arsitektur ITS","mie ayam","13000","Mie","mie, ayam, protein, karbohidrat"
140
+ "Kantin Arsitektur ITS","nasi rames","12000","Nasi","nasi, lauk campur, karbohidrat"
141
+ "Kantin Arsitektur ITS","soto ayam","13000","Soup","ayam, soto, kuah, protein"
142
+ "Kantin Arsitektur ITS","ayam bakar","15000","Ayam","ayam, bakar, protein, nasi"
143
+ "Kantin Teknik Lingkungan ITS","nasi goreng","10000","Nasi","nasi, goreng, berminyak, karbohidrat"
144
+ "Kantin Teknik Lingkungan ITS","tahu tempe","9000","Sehat","tahu, tempe, vegan friendly, protein nabati"
145
+ "Kantin Teknik Lingkungan ITS","bakso","12000","Soup","bakso, protein, daging, kuah"
146
+ "Kantin Teknik Lingkungan ITS","ayam suwir","11000","Ayam","ayam, protein, suwir, nasi"
147
+ "Kantin Teknik Lingkungan ITS","mie goreng","10000","Mie","mie, goreng, berminyak, karbohidrat"
148
+ "Kantin Pusat ITS","mie ayam solo","14000","Mie","mie, ayam, protein, karbohidrat, solo"
149
+ "Kantin Pusat ITS","wafel","8000","Dessert","wafel, manis, cemilan, dessert"
150
+ "Kantin Pusat ITS","soto lamongan","16000","Soup","soto, kuah, lamongan, ayam"
151
+ "Kantin Pusat ITS","jus","5000","Minuman","jus, minuman, buah, segar"
152
+ "Kantin Pusat ITS","nasi goreng","15000","Nasi","nasi, goreng, berminyak, karbohidrat"
153
+ "Kantin Pusat ITS","mie goreng","15000","Mie","mie, goreng, berminyak, karbohidrat"
154
+ "Kantin Pusat ITS","takoyaki",">12000","Snack","takoyaki, cemilan, japanese"
155
+ "Kantin Pusat ITS","sego njamoer","16000","Sehat","nasi, jamur, karbohidrat, protein nabati"
156
+ "Kantin Pusat ITS","cireng njamoer","11000","Snack","cemilan, jamur, karbohidrat, pedas, cireng, goreng"
157
+ "Kantin Pusat ITS","sego njamoer",">14000","Sehat","nasi, jamur, goreng, protein nabati, karbohidrat"
158
+ "Kantin Pusat ITS","nasi madura","15000","Nasi","nasi, karbohidrat, lauk madura"
159
+ "Kantin Pusat ITS","ayam penyet","16000","Ayam","ayam, penyet/geprek, pedas, protein"
160
+ "Kantin Pusat ITS","nasi campur",">12000","Nasi","nasi, lauk campur, karbohidrat"
161
+ "Kantin Pusat ITS","soto betawi","17000","Soup","soto, kuah, betawi, daging"
162
+ "Kantin Pusat ITS","kwetiau","17000","Mie","mie, kwetiau, karbohidrat, chinese"
163
+ "Kantin Pusat ITS","ayam geprek","16000","Ayam","ayam, penyet/geprek, pedas, protein"
data/road_edges.csv ADDED
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requirements.txt CHANGED
@@ -1,3 +1,13 @@
1
- altair
2
- pandas
3
- streamlit
 
 
 
 
 
 
 
 
 
 
 
1
+ import streamlit as st
2
+ import pandas as pd
3
+ import numpy as np
4
+ import networkx as nx
5
+ import folium
6
+ from streamlit_folium import st_folium
7
+ import requests
8
+ from io import StringIO
9
+ import math
10
+ from scipy.optimize import linear_sum_assignment
11
+ from geopy.distance import geodesic
12
+ import plotly.express as px
13
+ import plotly.graph_objects as go
src/streamlit_app.py CHANGED
@@ -1,40 +1,549 @@
1
- import altair as alt
2
- import numpy as np
3
- import pandas as pd
4
  import streamlit as st
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
5
 
6
- """
7
- # Welcome to Streamlit!
8
-
9
- Edit `/streamlit_app.py` to customize this app to your heart's desire :heart:.
10
- If you have any questions, checkout our [documentation](https://docs.streamlit.io) and [community
11
- forums](https://discuss.streamlit.io).
12
-
13
- In the meantime, below is an example of what you can do with just a few lines of code:
14
- """
15
-
16
- num_points = st.slider("Number of points in spiral", 1, 10000, 1100)
17
- num_turns = st.slider("Number of turns in spiral", 1, 300, 31)
18
-
19
- indices = np.linspace(0, 1, num_points)
20
- theta = 2 * np.pi * num_turns * indices
21
- radius = indices
22
-
23
- x = radius * np.cos(theta)
24
- y = radius * np.sin(theta)
25
-
26
- df = pd.DataFrame({
27
- "x": x,
28
- "y": y,
29
- "idx": indices,
30
- "rand": np.random.randn(num_points),
31
- })
32
-
33
- st.altair_chart(alt.Chart(df, height=700, width=700)
34
- .mark_point(filled=True)
35
- .encode(
36
- x=alt.X("x", axis=None),
37
- y=alt.Y("y", axis=None),
38
- color=alt.Color("idx", legend=None, scale=alt.Scale()),
39
- size=alt.Size("rand", legend=None, scale=alt.Scale(range=[1, 150])),
40
- ))
 
 
 
 
1
  import streamlit as st
2
+ import pandas as pd
3
+ import numpy as np
4
+ import networkx as nx
5
+ import folium
6
+ from streamlit_folium import st_folium
7
+ import requests
8
+ from io import StringIO
9
+ import math
10
+ from scipy.optimize import linear_sum_assignment
11
+ from geopy.distance import geodesic
12
+ import plotly.express as px
13
+ import plotly.graph_objects as go
14
+
15
+ # Konfigurasi halaman Streamlit
16
+ st.set_page_config(
17
+ page_title="RASA ITS",
18
+ page_icon="🍽️",
19
+ layout="wide",
20
+ initial_sidebar_state="expanded"
21
+ )
22
+
23
+ # Fungsi untuk memuat data CSV dengan caching
24
+ @st.cache_data
25
+ def load_csv_from_local(file_path):
26
+ """Memuat data CSV dari file lokal dengan caching untuk performa"""
27
+ try:
28
+ return pd.read_csv(file_path)
29
+ except Exception as e:
30
+ st.error(f"Error memuat data dari {file_path}: {e}")
31
+ return pd.DataFrame()
32
+
33
+ @st.cache_data
34
+ def load_all_data():
35
+ """Memuat semua dataset yang diperlukan dari file lokal"""
36
+ file_paths = {
37
+ 'buildings': '../data/building.csv',
38
+ 'road_nodes': '../data/road_nodes.csv',
39
+ 'road_edges': '../data/road_edges.csv',
40
+ 'menus': '../data/menu_with_tags.csv'
41
+ }
42
+
43
+ data = {}
44
+ for key, path in file_paths.items():
45
+ data[key] = load_csv_from_local(path)
46
+
47
+ return data
48
+
49
+ def format_price(price_str):
50
+ """Memformat string harga dengan format Indonesia (IDR)"""
51
+ if pd.isna(price_str):
52
+ return "Harga tidak tersedia"
53
+
54
+ price_str = str(price_str)
55
+
56
+ # Cek apakah harga dimulai dengan ">" (harga minimum)
57
+ if price_str.startswith(">"):
58
+ # Hapus ">" dan konversi ke angka
59
+ price_num = price_str[1:]
60
+ try:
61
+ price_value = float(price_num)
62
+ return f"mulai dari IDR {price_value:,.0f}".replace(",", ".")
63
+ except ValueError:
64
+ return f"mulai dari IDR {price_num}"
65
+ else:
66
+ try:
67
+ price_value = float(price_str)
68
+ return f"IDR {price_value:,.0f}".replace(",", ".")
69
+ except ValueError:
70
+ return f"IDR {price_str}"
71
+
72
+ def extract_numeric_price(price_str):
73
+ """Ekstrak nilai numerik dari string harga untuk perhitungan"""
74
+ if pd.isna(price_str):
75
+ return np.nan
76
+
77
+ price_str = str(price_str)
78
+
79
+ # Hapus ">" jika ada
80
+ if price_str.startswith(">"):
81
+ price_str = price_str[1:]
82
+
83
+ try:
84
+ return float(price_str)
85
+ except ValueError:
86
+ return np.nan
87
+
88
+ @st.cache_data
89
+ def build_graph(road_nodes, road_edges, buildings):
90
+ """Membangun graf terarah dari jaringan jalan dan bangunan untuk navigasi"""
91
+ G = nx.DiGraph()
92
+
93
+ # Tambahkan node jalan
94
+ for _, row in road_nodes.iterrows():
95
+ G.add_node(row['osmid'], x=row['x'], y=row['y'], type='road')
96
+
97
+ # Tambahkan edge jalan dengan bobot jarak
98
+ for _, row in road_edges.iterrows():
99
+ if pd.notna(row['length']) and row['u'] in G.nodes and row['v'] in G.nodes:
100
+ G.add_edge(row['u'], row['v'], length=row['length'])
101
+
102
+ # Tambahkan node bangunan dan hubungkan ke node jalan terdekat
103
+ road_coords = [(n, data['y'], data['x']) for n, data in G.nodes(data=True) if data.get('type') == 'road']
104
+
105
+ for idx, building in buildings.iterrows():
106
+ building_id = f"building_{idx}"
107
+ G.add_node(building_id,
108
+ x=building['longitude'],
109
+ y=building['latitude'],
110
+ name=building['name'],
111
+ type='building')
112
+
113
+ # Cari node jalan terdekat
114
+ if road_coords:
115
+ nearest_road = min(road_coords,
116
+ key=lambda item: haversine_distance(
117
+ building['latitude'], building['longitude'],
118
+ item[1], item[2]
119
+ ))[0]
120
+
121
+ # Hitung jarak dan tambahkan edge dua arah
122
+ dist = haversine_distance(
123
+ building['latitude'], building['longitude'],
124
+ G.nodes[nearest_road]['y'], G.nodes[nearest_road]['x']
125
+ )
126
+ G.add_edge(building_id, nearest_road, length=dist)
127
+ G.add_edge(nearest_road, building_id, length=dist)
128
+
129
+ return G
130
+
131
+ def haversine_distance(lat1, lon1, lat2, lon2):
132
+ """Hitung jarak haversine antara dua titik dalam meter"""
133
+ lat1, lon1, lat2, lon2 = map(math.radians, [lat1, lon1, lat2, lon2])
134
+ dlat = lat2 - lat1
135
+ dlon = lon2 - lon1
136
+ a = math.sin(dlat/2)**2 + math.cos(lat1)*math.cos(lat2)*math.sin(dlon/2)**2
137
+ c = 2 * math.asin(math.sqrt(a))
138
+ return 6371000 * c # Radius bumi dalam meter
139
+
140
+ def create_base_map(center_lat=-7.2820, center_lon=112.7950):
141
+ """Buat peta dasar folium yang berpusat di ITS ITS"""
142
+ m = folium.Map(
143
+ location=[center_lat, center_lon],
144
+ zoom_start=15.5,
145
+ tiles='OpenStreetMap'
146
+ )
147
+ return m
148
+
149
+ def create_map_with_directions(graph, path, buildings):
150
+ """Buat peta dengan marker awal dan tujuan plus rute navigasi"""
151
+ # Buat peta dasar yang berpusat di ITS
152
+ m = create_base_map()
153
+
154
+ if not path or len(path) < 2:
155
+ return m
156
+
157
+ # Ambil node awal dan akhir
158
+ start_node = path[0]
159
+ end_node = path[-1]
160
+
161
+ # Buat koordinat jalur
162
+ path_coords = []
163
+ for node in path:
164
+ if node in graph.nodes:
165
+ node_data = graph.nodes[node]
166
+ path_coords.append([node_data['y'], node_data['x']])
167
+
168
+ # Tambahkan garis rute
169
+ if len(path_coords) >= 2:
170
+ folium.PolyLine(
171
+ locations=path_coords,
172
+ color='red',
173
+ weight=4,
174
+ opacity=0.8,
175
+ popup='Rute Terpendek'
176
+ ).add_to(m)
177
+
178
+ # Tambahkan marker awal (lokasi pengguna)
179
+ if start_node in graph.nodes:
180
+ start_data = graph.nodes[start_node]
181
+ start_name = start_data.get('name', 'Lokasi Awal')
182
+ folium.Marker(
183
+ location=[start_data['y'], start_data['x']],
184
+ icon=folium.Icon(color='green', icon='play'),
185
+ popup=f'<b>Mulai:</b> {start_name}',
186
+ tooltip='Lokasi Awal'
187
+ ).add_to(m)
188
+
189
+ # Tambahkan marker tujuan
190
+ if end_node in graph.nodes:
191
+ end_data = graph.nodes[end_node]
192
+ end_name = end_data.get('name', 'Tujuan')
193
+ folium.Marker(
194
+ location=[end_data['y'], end_data['x']],
195
+ icon=folium.Icon(color='red', icon='stop'),
196
+ popup=f'<b>Tujuan:</b> {end_name}',
197
+ tooltip='Tujuan'
198
+ ).add_to(m)
199
+
200
+ return m
201
+
202
+ def find_shortest_path(graph, start_node, end_node):
203
+ """Cari jalur terpendek menggunakan algoritma Dijkstra"""
204
+ try:
205
+ path = nx.dijkstra_path(graph, start_node, end_node, weight='length')
206
+ distance = nx.dijkstra_path_length(graph, start_node, end_node, weight='length')
207
+ return path, distance
208
+ except (nx.NetworkXNoPath, nx.NodeNotFound):
209
+ return None, float('inf')
210
+
211
+ def filter_menus(menus, search_term="", selected_tags=None, price_range=(0, 100000)):
212
+ """Filter menu berdasarkan kata kunci, tag, dan rentang harga"""
213
+ filtered = menus.copy()
214
+
215
+ # Filter berdasarkan kata kunci pencarian
216
+ if search_term:
217
+ filtered = filtered[filtered['menu'].str.contains(search_term, case=False, na=False)]
218
+
219
+ # Filter berdasarkan tag yang dipilih
220
+ if selected_tags:
221
+ tag_filter = filtered['tags'].str.contains('|'.join(selected_tags), case=False, na=False)
222
+ filtered = filtered[tag_filter]
223
+
224
+ # Konversi harga ke numerik dan filter berdasarkan rentang harga
225
+ filtered['price_numeric'] = filtered['price'].apply(extract_numeric_price)
226
+ filtered = filtered.dropna(subset=['price_numeric'])
227
+
228
+ filtered = filtered[
229
+ (filtered['price_numeric'] >= price_range[0]) &
230
+ (filtered['price_numeric'] <= price_range[1])
231
+ ]
232
+
233
+ return filtered
234
+
235
+ def calculate_menu_distances(filtered_menus, buildings, graph, user_location):
236
+ """Hitung jarak dari lokasi pengguna ke lokasi menu yang difilter"""
237
+ menu_distances = []
238
+
239
+ for _, menu in filtered_menus.iterrows():
240
+ # Cari bangunan yang cocok dengan lokasi menu
241
+ building_match = buildings[buildings['name'].str.contains(menu['location'], case=False, na=False)]
242
+
243
+ if not building_match.empty:
244
+ building_idx = building_match.index[0]
245
+ building_node = f"building_{building_idx}"
246
+
247
+ if building_node in graph.nodes and user_location in graph.nodes:
248
+ _, distance = find_shortest_path(graph, user_location, building_node)
249
+ if distance != float('inf'):
250
+ menu_distances.append({
251
+ 'menu': menu['menu'],
252
+ 'location': menu['location'],
253
+ 'price': menu['price'],
254
+ 'price_numeric': menu['price_numeric'],
255
+ 'category': menu['category'],
256
+ 'tags': menu['tags'],
257
+ 'distance': distance,
258
+ 'building_node': building_node,
259
+ 'building_idx': building_idx
260
+ })
261
+
262
+ # Urutkan berdasarkan jarak terdekat
263
+ return sorted(menu_distances, key=lambda x: x['distance'])
264
+
265
+ def hungarian_recommendation(users_preferences, available_menus, max_recommendations=5):
266
+ """Gunakan algoritma Hungarian untuk rekomendasi menu optimal untuk kelompok"""
267
+ if not users_preferences or not available_menus:
268
+ return []
269
+
270
+ n_users = len(users_preferences)
271
+ n_menus = min(len(available_menus), max_recommendations)
272
+
273
+ if n_menus == 0:
274
+ return []
275
+
276
+ # Buat matrix biaya (biaya rendah = cocok lebih baik)
277
+ cost_matrix = np.zeros((n_users, n_menus))
278
+
279
+ for i, user_prefs in enumerate(users_preferences):
280
+ for j, menu in enumerate(available_menus[:n_menus]):
281
+ # Hitung biaya berdasarkan preferensi harga dan tag
282
+ price_cost = abs(menu['price_numeric'] - user_prefs.get('max_price', 20000)) / 1000
283
+
284
+ # Skor kecocokan tag
285
+ user_tags = set(user_prefs.get('preferred_tags', []))
286
+ menu_tags = set(menu['tags'].split(',') if menu['tags'] else [])
287
+ tag_overlap = len(user_tags.intersection(menu_tags))
288
+ tag_cost = max(0, len(user_tags) - tag_overlap) * 10
289
+
290
+ cost_matrix[i, j] = price_cost + tag_cost
291
+
292
+ # Terapkan algoritma Hungarian
293
+ row_indices, col_indices = linear_sum_assignment(cost_matrix)
294
+
295
+ recommendations = []
296
+ for user_idx, menu_idx in zip(row_indices, col_indices):
297
+ if menu_idx < len(available_menus):
298
+ recommendations.append({
299
+ 'user': f"Pengguna {user_idx + 1}",
300
+ 'menu': available_menus[menu_idx],
301
+ 'cost': cost_matrix[user_idx, menu_idx]
302
+ })
303
+
304
+ return recommendations
305
+
306
+ def has_user_input(user_location, search_term, selected_tags, price_range, default_price_range):
307
+ """Cek apakah pengguna sudah memberikan input untuk pencarian menu"""
308
+ has_location = user_location is not None
309
+ has_search = search_term.strip() != ""
310
+ has_tags = selected_tags and len(selected_tags) > 0
311
+ has_custom_price = price_range != default_price_range
312
+
313
+ return has_location or has_search or has_tags or has_custom_price
314
+
315
+ # Fungsi utama aplikasi
316
+ def main():
317
+ st.title("🍽️ RASA ITS")
318
+ st.markdown("Temukan pilihan makanan terbaik dan terdekat di sekitar ITS!")
319
+
320
+ # Muat data dengan loading spinner
321
+ with st.spinner("Memuat data ITS..."):
322
+ data = load_all_data()
323
+
324
+ if any(df.empty for df in data.values()):
325
+ st.error("Gagal memuat data yang diperlukan.")
326
+ return
327
+
328
+ buildings = data['buildings']
329
+ road_nodes = data['road_nodes']
330
+ road_edges = data['road_edges']
331
+ menus = data['menus']
332
+
333
+ # Bangun graf untuk navigasi
334
+ graph = build_graph(road_nodes, road_edges, buildings)
335
+
336
+ # Inisialisasi session state untuk menyimpan status aplikasi
337
+ if 'selected_path' not in st.session_state:
338
+ st.session_state.selected_path = None
339
+ if 'user_location' not in st.session_state:
340
+ st.session_state.user_location = None
341
+ if 'selected_building_name' not in st.session_state:
342
+ st.session_state.selected_building_name = None
343
+ if 'show_directions' not in st.session_state:
344
+ st.session_state.show_directions = False
345
+
346
+ # Kontrol sidebar
347
+ st.sidebar.header("🎯 Kontrol Navigasi")
348
+
349
+ # Pemilihan lokasi pengguna - HANYA DROPDOWN
350
+ st.sidebar.subheader("πŸ“ Lokasi Anda")
351
+ building_names = [""] + buildings['name'].tolist() # Tambah opsi kosong
352
+ selected_building = st.sidebar.selectbox("Pilih lokasi Anda:", building_names)
353
+
354
+ if selected_building:
355
+ building_idx = buildings[buildings['name'] == selected_building].index[0]
356
+ st.session_state.user_location = f"building_{building_idx}"
357
+ st.session_state.selected_building_name = selected_building
358
+ else:
359
+ st.session_state.user_location = None
360
+ st.session_state.selected_building_name = None
361
+
362
+ # Pencarian dan filter menu
363
+ st.sidebar.subheader("πŸ” Pencarian & Filter Menu")
364
+ search_term = st.sidebar.text_input("Cari menu:", placeholder="contoh: ayam, nasi")
365
+
366
+ # Ambil tag unik untuk filtering
367
+ all_tags = set()
368
+ for tags_str in menus['tags'].dropna():
369
+ if isinstance(tags_str, str):
370
+ all_tags.update(tag.strip() for tag in tags_str.split(','))
371
+ all_tags = sorted(list(all_tags))
372
+
373
+ selected_tags = st.sidebar.multiselect("Filter berdasarkan tag:", all_tags)
374
+
375
+ # Slider rentang harga - gunakan nilai numerik untuk filtering
376
+ menus['price_numeric'] = menus['price'].apply(extract_numeric_price)
377
+ menus_with_price = menus.dropna(subset=['price_numeric'])
378
+
379
+ min_price = int(menus_with_price['price_numeric'].min()) if not menus_with_price['price_numeric'].empty else 0
380
+ max_price = int(menus_with_price['price_numeric'].max()) if not menus_with_price['price_numeric'].empty else 100000
381
+ default_price_range = (min_price, max_price)
382
+
383
+ price_range = st.sidebar.slider(
384
+ "Rentang harga (IDR):",
385
+ min_value=min_price,
386
+ max_value=max_price,
387
+ value=default_price_range,
388
+ step=1000
389
+ )
390
+
391
+ # Tombol hapus petunjuk arah
392
+ if st.sidebar.button("πŸ—ΊοΈ Hapus Petunjuk Arah"):
393
+ st.session_state.selected_path = None
394
+ st.session_state.show_directions = False
395
+ st.rerun()
396
+
397
+ # Cek apakah pengguna sudah memberikan input
398
+ user_has_input = has_user_input(
399
+ st.session_state.user_location,
400
+ search_term,
401
+ selected_tags,
402
+ price_range,
403
+ default_price_range
404
+ )
405
+
406
+ # Area konten utama dengan 2 kolom
407
+ col1, col2 = st.columns([2, 1])
408
+
409
+ with col1:
410
+ st.subheader("πŸ—ΊοΈ Peta ITS")
411
+
412
+ # Tampilkan lokasi saat ini
413
+ if st.session_state.selected_building_name:
414
+ st.info(f"πŸ“ Lokasi saat ini: {st.session_state.selected_building_name}")
415
+
416
+ # Buat dan tampilkan peta
417
+ if st.session_state.show_directions and st.session_state.selected_path:
418
+ display_map = create_map_with_directions(graph, st.session_state.selected_path, buildings)
419
+ else:
420
+ display_map = create_base_map()
421
+
422
+ # Tampilkan peta tanpa handling klik
423
+ st_folium(display_map, width=700, height=500, key="main_map")
424
+
425
+ with col2:
426
+ st.subheader("🍽️ Pilihan Menu")
427
+
428
+ # Hanya tampilkan opsi menu jika pengguna sudah memberikan input
429
+ if not user_has_input:
430
+ st.info("πŸ‘‹ **Selamat datang!** Untuk melihat pilihan menu, silakan:")
431
+ st.markdown("""
432
+ - πŸ“ **Pilih lokasi Anda** dari dropdown
433
+ - πŸ” **Cari makanan tertentu** (contoh: "ayam", "nasi")
434
+ - 🏷️ **Pilih tag makanan** (contoh: "pedas", "ayam")
435
+ - πŸ’° **Sesuaikan rentang harga** jika diperlukan
436
+ """)
437
+ st.markdown("---")
438
+ st.markdown("πŸ—ΊοΈ **Tips:** Anda dapat menjelajahi peta ITS di sebelah kiri!")
439
+
440
+ else:
441
+ # Filter menu berdasarkan kriteria
442
+ filtered_menus = filter_menus(menus, search_term, selected_tags, price_range)
443
+
444
+ if not filtered_menus.empty:
445
+ if st.session_state.user_location:
446
+ # Hitung jarak dan urutkan
447
+ menu_distances = calculate_menu_distances(
448
+ filtered_menus, buildings, graph, st.session_state.user_location
449
+ )
450
+
451
+ if menu_distances:
452
+ st.write(f"Ditemukan {len(menu_distances)} pilihan menu:")
453
+
454
+ # Tampilkan opsi menu dengan petunjuk arah
455
+ for i, menu_info in enumerate(menu_distances[:10]): # Tampilkan 10 teratas
456
+ with st.expander(
457
+ f"🍽️ {menu_info['menu']} - {format_price(menu_info['price'])} "
458
+ f"({menu_info['distance']:.0f}m)"
459
+ ):
460
+ st.write(f"**Lokasi:** {menu_info['location']}")
461
+ st.write(f"**Kategori:** {menu_info['category']}")
462
+ st.write(f"**Tag:** {menu_info['tags']}")
463
+ st.write(f"**Jarak:** {menu_info['distance']:.0f} meter")
464
+
465
+ if st.button(f"🧭 Tampilkan Petunjuk Arah", key=f"dir_{i}"):
466
+ path, distance = find_shortest_path(
467
+ graph, st.session_state.user_location, menu_info['building_node']
468
+ )
469
+ if path:
470
+ st.session_state.selected_path = path
471
+ st.session_state.show_directions = True
472
+ st.success(f"Rute ditemukan! Jarak: {distance:.0f} meter")
473
+ st.rerun()
474
+ else:
475
+ st.error("Tidak ada rute yang ditemukan ke lokasi ini.")
476
+ else:
477
+ st.info("Tidak ada lokasi menu yang dapat dijangkau.")
478
+ else:
479
+ # Tampilkan menu yang difilter tanpa perhitungan jarak
480
+ st.write(f"Ditemukan {len(filtered_menus)} pilihan menu:")
481
+ st.info("πŸ’‘ Pilih lokasi Anda untuk melihat jarak dan mendapatkan petunjuk arah!")
482
+
483
+ for i, (_, menu) in enumerate(filtered_menus.head(10).iterrows()):
484
+ with st.expander(f"🍽️ {menu['menu']} - {format_price(menu['price'])}"):
485
+ st.write(f"**Lokasi:** {menu['location']}")
486
+ st.write(f"**Kategori:** {menu['category']}")
487
+ st.write(f"**Tag:** {menu['tags']}")
488
+ st.info("πŸ“ Pilih lokasi Anda untuk melihat jarak dan mendapatkan petunjuk arah")
489
+ else:
490
+ st.info("Tidak ada menu yang ditemukan sesuai kriteria Anda. Coba sesuaikan filter!")
491
+
492
+ # Bagian rekomendasi kelompok
493
+ if user_has_input:
494
+ st.subheader("πŸ‘₯ Rekomendasi Kelompok")
495
+
496
+ with st.expander("Konfigurasi Preferensi Kelompok"):
497
+ num_users = st.number_input("Jumlah pengguna:", min_value=1, max_value=10, value=3)
498
+
499
+ users_preferences = []
500
+ for i in range(num_users):
501
+ st.write(f"**Preferensi Pengguna {i+1}:**")
502
+ col_a, col_b = st.columns(2)
503
+
504
+ with col_a:
505
+ max_price = st.number_input(
506
+ f"Harga maksimal (IDR):",
507
+ min_value=5000,
508
+ max_value=50000,
509
+ value=20000,
510
+ key=f"price_{i}"
511
+ )
512
+
513
+ with col_b:
514
+ preferred_tags = st.multiselect(
515
+ f"Tag yang disukai:",
516
+ all_tags,
517
+ key=f"tags_{i}"
518
+ )
519
+
520
+ users_preferences.append({
521
+ 'max_price': max_price,
522
+ 'preferred_tags': preferred_tags
523
+ })
524
+
525
+ if st.button("🎯 Buat Rekomendasi Kelompok"):
526
+ if st.session_state.user_location:
527
+ filtered_menus = filter_menus(menus, search_term, selected_tags, price_range)
528
+ menu_distances = calculate_menu_distances(
529
+ filtered_menus, buildings, graph, st.session_state.user_location
530
+ )
531
+
532
+ recommendations = hungarian_recommendation(users_preferences, menu_distances)
533
+
534
+ if recommendations:
535
+ st.success("πŸŽ‰ Rekomendasi kelompok optimal:")
536
+ for rec in recommendations:
537
+ menu = rec['menu']
538
+ st.write(
539
+ f"**{rec['user']}:** {menu['menu']} di {menu['location']} "
540
+ f"({format_price(menu['price'])}, {menu['distance']:.0f}m)"
541
+ )
542
+ else:
543
+ st.warning("Tidak ada rekomendasi yang sesuai untuk kelompok.")
544
+ else:
545
+ st.warning("Silakan pilih lokasi Anda terlebih dahulu.")
546
 
547
+ # Jalankan aplikasi jika file dieksekusi langsung
548
+ if __name__ == "__main__":
549
+ main()