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All Journal JUSIFOR : Jurnal Sistem Informasi dan Informatika
Joseph Dedy Irawan
Institut Teknologi Nasional Malang, Indonesia
Computer Science & IT Decision Sciences, Operations Research & Management Engineering Library & Information Science

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Sistem Rekomendasi Masjid Ramah Pemudik Menggunakan Hybrid Rating Aggregation dan Location Based Filtering Berbasis Ulasan Pengguna (Studi Kasus Kabupaten Situbondo) Rifal Rifqi Rhomadon; Joseph Dedy Irawan; Febriana Santi Wahyuni
JUSIFOR : Jurnal Sistem Informasi dan Informatika Vol 4 No 2 (2025): JUSIFOR - Desember 2025
Publisher : Fakultas Sains Dan Teknologi, Universitas Raden Rahmat Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70609/jusifor.v4i1.8339

Abstract

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.
Sistem Rekomendasi Judul Skripsi Menggunakan Cosine Similarity Pada JATI ITN Malang Marita Putri Nabila; Joseph Dedy Irawan; Ahmad Faisol
JUSIFOR : Jurnal Sistem Informasi dan Informatika Vol 4 No 2 (2025): JUSIFOR - Desember 2025
Publisher : Fakultas Sains Dan Teknologi, Universitas Raden Rahmat Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70609/jusifor.v4i2.8340

Abstract

Pertumbuhan publikasi ilmiah yang meningkat di lingkungan kampus mendorong mahasiswa untuk menghasilkan skripsi yang orisinal dan relevan. Namun, meningkatnya jumlah publikasi sering membuat mahasiswa kesulitan menentukan judul skripsi karena pencarian referensi masih sederhana. Penelitian ini bertujuan untuk membangun sistem rekomendasi judul skripsi dengan algoritma Cosine similarity untuk membantu mahasiswa memperoleh referensi dalam menentukan judul skripsi serta mencegah duplikasi topik penelitian. Sistem ini menggunakan dataset publikasi JATI (Jurnal Mahasiswa Teknik Informatika) ITN Malang, melalui tahapan preprocessing teks, pembobotan TF-IDF, serta perhitungan cosine similarity dalam mengukur tingkat kemiripan judul publikasi di JATI ITN Malang. Evaluasi dilakukan dengan metode Confusion Matrix untuk menilai performa sistem dalam memberikan rekomendasi yang relevan. Hasil pengujian menunjukkan nilai akurasi sebesar 90%, precision 100%, recall 83,33%, dan F1-score 90,91%. Berdasarkan hasil yang diperoleh, sistem terbukti mampu merekomendasikan judul skripsi yang sesuai, sehingga dapat membantu mahasiswa dalam proses penentuan judul sebagai acuan penyusunan skripsi.
Co-Authors AHMAD FAISOL Febriana Santi Wahyuni Marita Putri Nabila Rifal Rifqi Rhomadon