Sistem Rekomendasi Masjid Ramah Pemudik Menggunakan Hybrid Rating Aggregation dan Location Based Filtering Berbasis Ulasan Pengguna (Studi Kasus Kabupaten Situbondo)
DOI:
https://doi.org/10.70609/jusifor.v4i1.8339Keywords:
Sistem Rekomendasi, Masjid Ramah Pemudik, Hybrid Rating Aggregation, Location-Based Filtering, Lexicon-Based SentimentAbstract
The tradition of mudik in Indonesia increases public mobility during the festive season, including in Situbondo Regency. This condition creates a need for information about traveler-friendly mosques that can serve as places of worship as well as rest areas. However, limited information regarding mosque facilities and comfort often makes it difficult for travelers to find suitable locations. This study aims to develop traveler-friendly mosque recommendation system using the Hybrid Rating Aggregation and Location-Based Filtering methods based on user reviews. Sentiment analysis on user reviews was carried out using the Lexicon-Based Sentiment Analysis method to determine the tendency of positive or negative opinions toward each mosque. The result of the sentiment analysis are incorporated into scoring mechanism to improve the accuracy nor suitability of those recommendations. Performance system was performed using blackbox testing approach to verify that each feature performs as expected based on user needs. The results indicate that system operates effectively and is able to deliver mosque recommendations that are informative, reliable, and user-friendly.
References
[1] W. Afriyani, “Pengaruh Idul Fitri Terhadap Kesejahteraan Psikologis Dan Emosional Umat Muslim,” J. Pendidikan, Kebud. dan Keislam., vol. 3, no. 2, pp. 67–76, 2024, doi: 10.24260/jpkk.v3i2.3294.
[2] S. A. M and N. Jumala, “Pengelolaan dan Pemberdayaan Fungsi Masjid : Layanan Inovatif dan Inklusif Bagi Semua Kalangan di Masjid At-Tin Kota Sukabumi,” Seulanga, vol. 4, no. 1, pp. 1–21, 2025.
[3] R. R. D. Putra, “UI/UX Pengembangan Sistem Informasi Manajemen Jamaah Masjid Menggunakan Metode HCD (Human Centered Design),” 2025.
[4] N. H. Revansa, “Sistem Rekomendasi Restoran Halal Berbasis Collaborative Filtering dan Autoencoder,” 2024, [Online]. Available: https://dspace.uii.ac.id/handle/123456789/53896%0Ahttps://dspace.uii.ac.id/bitstream/handle/123456789/53896/20523143.pdf?sequence=1&isAllowed=y
[5] J. T. Informatika and I. Malang, “AUGMENTED REALITY SKRIPSI Oleh : TRI CAHYA WAHYU MUSLIMIN,” 2016.
[6] A. Zuhri, “SISTEM REKOMENDASI KOMUNITAS AKADEMIK MENGGUNAKAN METODE HYBRID FILTERING THESIS Oleh : ABDURROZZAAQ ASHSHIDDIQI ZUHRI,” 2025.
[7] E. C. Ningrum, “Sistem rekomendasi pemilihan tempat wisata menggunakan Metode Item Based Collaborative Filtering dan Location Based Service (Kota Batu),” Etheses Uin Malang, 2020, [Online]. Available: http://etheses.uin-malang.ac.id/24524/
[8] H. Azizah, F. Syuhada, and Y. Sa’adati, “SENTIMEN ANALISIS TEMPAT WISATA BERDASARKAN ULASAN GOOGLE MAPS MENGGUNAKAN METODE NAÏVE BAYES (Studi Kasus Bukit Merese) Sentiment Analysis of Tourist Destinations Based on Google Maps Reviews Using the Naïve Bayes Method (Case Study of Bukit Merese),” Sij, vol. 7, no. 2, pp. 467–475, 2024.
[9] Muhammad Mulajati, “Implementasi Teknik Web Scraping Dan Klasifikasi Sentimen Menggunakan Metode Naïve Bayes Classifier Dan Asosiasi Teks,” J. Chem. Inf. Model., no. 9, pp. 1–133, 2017, [Online]. Available: https://dspace.uii.ac.id/bitstream/handle/123456789/27725/13611217 Muhammad Mulajati.pdf?sequence=1&isAllowed=y
[10] S. Nur et al., “Analisis pengembangan potensi wisata halal masjid agung,” 2022.
[11] O. Manullang, C. Prianto, and N. H. Harani, “Analisis Sentimen Untuk Memprediksi Hasil Calon Pemilu Presiden Menggunakan Lexicon Based Dan Random Forest,” J. Ilm. Inform., vol. 11, no. 02, pp. 159–169, 2023, doi: 10.33884/jif.v11i02.7987.
[12] M. Hamka and D. Ratna Sari, “Analisis Sentimen Dan Information Extraction Pembelajaran Daring Menggunakan Pendekatan Lexicon,” Djtechno J. Teknol. Inf., vol. 3, no. 1, pp. 21–32, 2022, doi: 10.46576/djtechno.v3i1.2194.
[13] R. RISMALA, “Sistem Rekomendasi Multikriteria Dengan Penjelasan Level Kriteria,” Digilib.Itb.Ac.Id, vol. 33220001, 2024, [Online]. Available: https://digilib.itb.ac.id/assets/files/2024/djItZGlzZXJ0YXNpXzMzMjIwMDAxX1JpdGFSaXNtYWxhX3NpZ25lZCAtIDMzMjIwMDAxIFJpdGEgUmlzbWFsYSAoMSkucGRm.pdf
[14] J. Augusto, D. Guterres, and T. Informatika, “Pengembangan APPEL SARADA Dengan Memanfaatkan Haversine Formula,” vol. 8, pp. 68–73, 2019, doi: 10.34148/teknika.v8i1.146.
[15] M. A. L. Fajar, P. Studi, T. Informatika, F. Teknik, and U. I. Riau, “FASILITAS UMUM KAMPUS UNIVERSITAS ISLAM RIAU MENGGUNAKAN METODE COLLABORATIVE FILTERING BERBASIS WEB,” 2021.
[16] A. R. Makhtum, “Analisis Sentimen UU Cipta Kerja Menggunakan Metode Support Vector Machine (SVM),” Dsp. Repos., vol. 10, pp. 85–90, 2022, [Online]. Available: https://dspace.uii.ac.id/handle/123456789/39810
[17] A. Alwasi’a, “Analisis Sentimen Pada Review Aplikasi Berita Online Menggunakan Metode Maximum Entropy (Studi Kasus: Review Detikcom pada Google Play 2019),” Skripsi Univ. Islam Indones. Yogyakarta, 2020.
[18] A. D. Aryanto, A. Primadewi, and N. A. P, “Rekomendasi Wisata Kabupaten Magelang menggunakan Metode Content- Based Filtering dan Location-Based Service,” vol. 15, no. 1, pp. 172–178, 2025.
[19] M. P. A. Ginting and A. S. Lubis, “Pengujian Aplikasi Berbasis Web Data Ska Menggunakan Metode Black Box Testing,” Cosm. J. Tek., vol. 2, no. 1, pp. 41–48, 2024, [Online]. Available: http://creativecommons.org/licenses/by-sa/4.0/
[20] I. N. Safitri and K. Haryono, “Sistem Informasi Pengelolaan Masjid Dalam Manajemen Kegiatan Ramadhan Untuk Meningkatkan Efektifitas Layanan,” JIPI (Jurnal Ilm. Penelit. dan Pembelajaran Inform., vol. 9, no. 2, pp. 817–828, 2024, doi: 10.29100/jipi.v9i2.4732.
Downloads
Published
Issue
Section
License
Copyright (c) 2025 Rifal Rifqi Rhomadon, Joseph Dedy Irawan, Febriana Santi Wahyuni

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.





