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All Journal JATI (Jurnal Mahasiswa Teknik Informatika) JTIULM (Jurnal Teknologi Informasi Universitas Lambung Mangkurat) Jurnal Info Sains : Informatika dan Sains JAMAIKA: Jurnal Abdi Masyarakat Abdi Jurnal Publikasi Journal of Research and Publication Innovation LOGIC : Jurnal Ilmu Komputer dan Pendidikan OKTAL : Jurnal Ilmu Komputer dan Sains JRIIN :Jurnal Riset Informatika dan Inovasi
Sri Rama Putri
Universitas Pamulang
Humanities Astronomy Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Social Sciences Other

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Mobile-Based Decision Support System For Sunday School Student Categorization Using Rule-Based Method And RAD Model Tan, Andreas; Putri, Sri Rama
Jurnal Teknologi Informasi Universitas Lambung Mangkurat (JTIULM) Vol. 11 No. 1 (2026)
Publisher : Fakultas Teknik Universitas Lambung Mangkurat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/jtiulm.v11i1.515

Abstract

The manual determination of student categories at Sunday School based on attendance records is prone to human error, time-consuming, and lacks consistency in evaluation. This study develops a mobile-based Decision Support System (DSS) to automate student categorization using attendance percentages. The system employs a Rule-Based approach with explicit logical thresholds and is developed using the Rapid Application Development (RAD) model to ensure rapid prototyping, iterative refinement, and active user involvement. Key features include QR-based attendance tracking, real-time percentage calculation, automated categorization (Very Diligent, Diligent, Fairly Diligent, Needs Attention), and PDF report generation. Black-box testing confirms that all functional modules perform as expected, achieving a 100% validation rate across core scenarios. The system successfully improves data accuracy, reduces administrative workload, and provides objective, transparent recommendations for student recognition and follow-up coaching. This solution demonstrates the practical applicability of rule-based DSS in religious educational institutions seeking efficient, data-driven student evaluation.
SISTEM PENUNJANG KEPUTUSAN UNTUK MENENTUKAN PEMBERIAN BONUS TAHUNAN KARYAWAN BERDASARKAN KINERJA KARYAWAN MENGGUNAKAN SIMPLE ADDITIVE WEIGHTING (SAW) DAN TOPSIS: Sri Rama Putri; Dede Sunandar; Nurhayati Nurhayati
JATI (Jurnal Mahasiswa Teknik Informatika) Vol. 10 No. 3 (2026): JATI Vol. 10 No. 3
Publisher : Institut Teknologi Nasional Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36040/jati.v10i3.18483

Abstract

Pemberian bonus merupakan bentuk penghargaan krusial bagi karyawan dengan kinerja memuaskan, namun pada PT Geptronika Sentosa Utama, proses pengambilan keputusan masih bersifat konvensional dan subjektif akibat faktor kedekatan pimpinan, sehingga hasil penilaian sering kali tidak tepat sasaran. Penelitian ini bertujuan untuk merancang Sistem Pendukung Keputusan (SPK) yang mampu menentukan pemberian bonus tahunan secara objektif dan akurat dengan mengintegrasikan metode Simple Additive Weighting (SAW) dan Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS). Penilaian dilakukan berdasarkan kriteria Absensi (15%), Masa Kerja (15%), Hasil Kerja (25%), Sikap (20%), dan Kualitas Kerja (25%). Metodologi penelitian mencakup tahapan identifikasi masalah, studi pustaka, pengumpulan data, perancangan sistem, hingga implementasi dan pengujian. Hasil penelitian ini diharapkan dapat memberikan rekomendasi keputusan yang presisi bagi manajemen serta memberikan kontribusi ilmiah melalui publikasi pada jurnal nasional.
Co-Authors Adam Muiz Adam Muiz Adam Muiz Ade Julius Konyanan Alfi Maulana Badriah Nursakinah Dede Sunandar Dede Sunandar Fachry Abda El Rahman Fadillah, Yasin Firdaus Pratomo, Akmal Lestiani Muhamad Deden Firmansyah Muhamad Rafi’ul Fajar Muiz, Adam - Nurhayati Nurhayati Nurhayati Nurhayati Nurhayati Nurhayati Nurhayati Nurhayati Raditia Vindua Raditia Vindua Raditia Vindua Siti Marfirah Tan, Andreas