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All Journal Jurnal Computech & Bisnis (e-Journal) Jurnal Pengabdian Masyarakat: Bisnis dan Iptek (JPMBISTEK)
Fitri Rizqiati
STMIK Mardira Indonesia, Bandung
Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Environmental Science Library & Information Science Other

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Know the Map, Avoid Danger: Geographic Information System-Based Lembang Fault Disaster Mitigation Education at Langensari 2 Elementary School Deni Sopiyan; Fitri Rizqiati; Haris Supriatna; Rinda Tiara; Naida Putri Asyaidah; Fitria Nurhayati; Intan Nurlatifah; Chandra Aprilians; Pahni Hanawan; Muhamad Aliph Fauzansyah; Muhamad Yafi; Muhamad Rivael Saputra
Jurnal Pengabdian Masyarakat: Bisnis dan Iptek (JPMBISTEK) Vol. 3 No. 1 (2026): Jurnal Pengabdian Masyarakat: Bisnis dan Iptek (JPMBISTEK)
Publisher : LPPM STMIK Mardira Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56447/jpmbistek.v3i1.03

Abstract

The community service team, comprising academics and students from STMIK Mardira Indonesia, has initiated a project focused on disaster mitigation related to the Lembang Fault for elementary school pupils at State Elementary School 2 Langensari Lembang. The Lembang region and its vicinity are susceptible to seismic threats owing to the active geological characteristics of the Lembang Fault. A lack of comprehension within the community, particularly among school-age students, about disaster risks and mitigation may exacerbate vulnerability during a disaster. This community service initiative seeks to enhance students' understanding and awareness of the potential hazards posed by the Lembang Fault through disaster mitigation education using Geographic Information Systems (GIS). The implementation methods include interactive content delivery, the introduction of digital maps of disaster-prone regions, basic earthquake-mitigation simulations, and the assessment of student comprehension before and after the activities. The application of GIS facilitates the geographical visualization of the Lembang Fault, earthquake-prone areas, and the adjacent school environment, thereby enhancing student comprehension. This initiative seeks to foster a disaster-aware culture from a young age and help mitigate catastrophe risk in elementary school environments.
Design Of A Mobile App-Based Student Scout Extracurricular Activity Monitoring Application Using Geotagging: Case Study At A Junior High School In Bandung Fitri Rizqiati
JURNAL COMPUTECH & BISNIS Vol. 19 No. 2 (2025): Jurnal Computech & Bisnis (e-Journal)
Publisher : LPPM STMIK Mardira Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56447/jcb.v19i2.11

Abstract

Teachers have a responsibility to monitor students, particularly given the constraints in supervising them during extracurricular activities such as scouting.  This research aims to develop a mobile application to track student engagement in scouting activities, employing a descriptive-qualitative methodology through data collection via observation, interviews, and literature reviews.  The application is built on the AppSheet online platform and integrates with Google Drive as a database, using spreadsheets for data management.  The research findings demonstrate that a student monitoring application is crucial for individual and institutional requirements.  For future development, the application must be designed for simplicity to ensure accessibility for all users, with data presented in a manner that is comprehensible to educators.
Identifying Student Learning Behavior Patterns Using K-Means Clustering: A Case Study At STMIK Mardira Indonesia Fitri Rizqiati; Ahfi Fauka
JURNAL COMPUTECH & BISNIS Vol. 20 No. 1 (2026): Jurnal Computech & Bisnis (e-Journal)
Publisher : LPPM STMIK Mardira Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56447/jcb.v20i1.02

Abstract

Understanding student learning behavior is essential for developing effective instructional strategies and improving academic evaluation systems in higher education. This study aims to identify and characterize student learning behavior patterns using a clustering approach based on academic assessment data recorded in the Academic Information System (SIAKAD). To capture stable and long-term learning behavior tendencies, this research utilizes longitudinal academic records collected over eight consecutive semesters. The analyzed learning behavior attributes include assignment scores, quiz results, midterm examination scores, final examination scores, and attendance rates. The K-Means clustering algorithm was applied following data preprocessing and z-score standardization, while the optimal number of clusters was determined using the silhouette coefficient. The results reveal three distinct learning behavior patterns, namely students with low learning engagement, students with moderate engagement characterized by an exam-oriented learning strategy, and students with high and consistent learning engagement across learning activities.
Co-Authors Ahfi Fauka Chandra Aprilians Deni Sopiyan Fitria Nurhayati Haris Supriatna Intan Nurlatifah Muhamad Aliph Fauzansyah Muhamad Rivael Saputra Muhamad Yafi Naida Putri Asyaidah Pahni Hanawan Rinda Tiara