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All Journal Jurnal Prima Edukasia Sinkron : Jurnal dan Penelitian Teknik Informatika Jurnal Pilar Nusa Mandiri IKRA-ITH Informatika : Jurnal Komputer dan Informatika Jurnal Teknologi Informasi MURA Jurnal Riset Informatika JUSIM (Jurnal Sistem Informasi Musirawas) Jurnal Teknologi Informasi dan Komunikasi Jurnal Wawasan Pendidikan Jurnal Teknologi Informasi Mura Komunita: Jurnal Pengabdian dan Pemberdayaan Masyarakat
Jupriyanto .
Universitas Mandiri
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Environmental Science Public Health Social Sciences Other

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PERBANDINGAN KINERJA ALGORITMA SVM DAN NAIVE BAYES PADA KLASIFIKASI PRESTASI AKADEMIK SISWA: STUDI KASUS SMAS BPD TOBELO SELATAN Tiska Pattiasina; Grace Fredriksz; Join Rachel Luturmas; Andrie CH Salhuteru; Febiola Matuankotta; Laura S Nunumete; Jupriyanto Jupriyanto
Jurnal Teknologi Informasi Mura (JTI) Vol. 18 No. 1 (2026): Jurnal Teknologi Informasi Mura
Publisher : LPPM UNIVERSITAS BINA INSAN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32767/jti.v18i1.2915

Abstract

Students’ academic achievement is an important indicator of the success of the educational process; however, its assessment is often subjective and not yet fully data-driven. Therefore, a systematic analytical approach is required to classify students’ academic achievement objectively and accurately. This study aims to compare the performance of Support Vector Machine (SVM) and Naive Bayes algorithms in classifying the academic achievement of grade III students at SMAS BPD Tobelo Selatan. A data mining approach using classification techniques was applied, involving 17 attributes as predictor variables and two target classes of academic achievement, namely Very Good and Good. Data processing and model evaluation were conducted using the WEKA software, with performance measured through accuracy, precision, recall, and the Area Under the Receiver Operating Characteristic Curve (AUC-ROC). The results indicate that the SVM algorithm achieves the best performance in terms of accuracy, precision, and recall, each reaching 97.78%, while the Naive Bayes algorithm obtains the highest AUC-ROC value of 98.08%. These findings demonstrate that SVM is superior in prediction accuracy, whereas Naive Bayes shows excellent capability in class discrimination. This study is expected to support data-driven academic decision-making in school environments.
SISTEM INFORMASI GEOGRAFIS PARIWISATA BERBASIS WEB MENGGUNAKAN REACT JS DI KABUPATEN SUBANG Hermansyah Nur Ahmad; Jupriyanto Jupriyanto
Jurnal Teknologi Informasi Mura (JTI) Vol. 18 No. 1 (2026): Jurnal Teknologi Informasi Mura
Publisher : LPPM UNIVERSITAS BINA INSAN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32767/jti.v18i1.2917

Abstract

Subang Regency, West Java has significant natural and cultural tourism potential; however, tourism location information is not yet optimally integrated. Scattered information makes it difficult for tourists to obtain accurate location data, descriptions, and access to tourist destinations. This study aims to develop a web-based Geographic Information System (GIS) for tourism using React JS with a full-stack architecture. The system development applies the Agile method, enabling iterative and adaptive development based on user requirements. The system utilizes interactive digital maps based on Leaflet, search and category filtering features, multiple map display modes, and a review and rating feature without user login. The results show that the system provides accurate tourism location information, is easy to access, and offers real-time visit statistics. This system is expected to support regional tourism promotion and assist tourism management in data-driven decision-making.
Co-Authors Achmad Fauzi Ahmad, Hermansyah Nur Anderias Eko Wijaya Andri Agung Riyadi Andrie CH Salhuteru Apandi, Jamaludin Azhari, Lukman Basir, Mochamad Abdul Budilaksono, Sularso Fachri Amsury Febiola Matuankotta Fredriksz, Grace Grace Fredriksz Haq, Haris Nizhomul Hermansyah Nur Ahmad Hernawati Irwansyah Saputra Join Rachel Luturmas Kodar Udoyono, Kodar Kuswanto, Sabar Laura S Nunumete Lolita Enfesta Luturmas, Join Rachel Mahpud, Mahpud Matuankotta, Febiola Maulana, Lutfi Mohamad Aminudin Muhammad Romadhona Kusuma Novita Mariana Nugraha, Luthfy Akmal Nunumete, Laura S Pattiasina, Tiska Permana, Eka Putri, Cerafine Delna Rian Hermawan Riansyah, Andi Salhuteru, Andrie CH siti nurlela Suwarno, M.Anno Suwartane, I Gede Agus Timbo Faritcan Parlaungan Siallagan Tiska Pattiasina Tiska Pattiasina Yulina Ismiyanti Yunita Sari