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All Journal Jumat Informatika: Jurnal Pengabdian Masyarakat Journal of Data Mining and Information Systems
Yesi Wulan Puspitasari
Universitas KH. A. Wahab Hasbullah
Computer Science & IT Education Other

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Implementasi Website Desa sebagai Media Informasi dan Transparansi Pemerintahan di Desa Jogoloyo Kab. Jombang Muhamad Khoirur Roziqin; Yesi Wulan Puspitasari; Lusi Yuni Astuti; Nur Holis; Mukhammad Nasrul Wahada; Faizah Muzaqiyafin
Jumat Informatika: Jurnal Pengabdian Masyarakat Vol. 7 No. 1 (2026): April
Publisher : LPPM Universitas KH. A. Wahab Hasbullah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32764/abdimasif.v7i1.6979

Abstract

Village government faces signiticant challenges in information dissemination and transparency implentation du to limited digital infrastructure and human resources capacity. This community service aimed to develop a village website as an information medium and transparency tool for Jogoloyo Village government. The participatory development method was employed, involving needs assessment, codesign, capacity building, and community engagement. The developed website (https://desajogoloyo.com) features 18 main paes including administrative services, budget transparency modules, MSME (Micro, Small Medium Enterprise) directories, and public complaint systems. Result showed improved information accessbility, enhanced operational efficiency trough digitization of administrative processes, increased public satisfaction from 3.2 to 4.2 (scale 5), and enhanced government trasparency. The website successfully facilitates two-way communication between village government and community, supporting good governance principles. This initiative demonstrates the potential of digital technology in transforming rural governance and can serve as a replication model for other villages.
Deteksi Anomali Integritas Akademik Siswa Menggunakan Isolation Forest dan Data Mining Yesi Wulan Puspitasari; Achmad Agus Athok Miftachuddin
JDMIS: Journal of Data Mining and Information Systems Vol. 4 No. 2 (2026): August 2026
Publisher : Yayasan Pendidikan Penelitian Pengabdian Algero

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54259/jdmis.v4i2.8825

Abstract

This study aimed to detect academic integrity anomalies among twelfth-grade students at an Islamic senior high school (Madrasah Aliyah Negeri) using a Python-based data mining approach. Academic monitoring had previously been conducted manually, which risked delaying the identification of students who required guidance. This research applied the Isolation Forest algorithm with an unsupervised learning approach to analyze midterm and final exam scores, project scores, report averages, attendance percentages, disciplinary violation records, and school counseling records from 650 students. The analysis followed the CRISP-DM methodology, covering six stages from business understanding to deployment. The anomaly detection results were further validated using a rule-based approach, producing a more objective and contextual hybrid validation process. The model identified 52 students (8%) as anomalous data. Hybrid validation classified 544 students (83.69%) as Safe, 97 students (14.92%) as Needing Monitoring, and 9 students (1.39%) as Needing Follow-up. The results were visualized through a Streamlit-based dashboard that can support school decision-making in objective, data-driven academic monitoring.
Co-Authors Achmad Agus Athok Miftachuddin Faizah Muzaqiyafin Lusi Yuni Astuti Muhamad Khoirur Roziqin Mukhammad Nasrul Wahada Nur Holis