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All Journal Jurnal Sisfokom (Sistem Informasi dan Komputer) JUSIM (Jurnal Sistem Informasi Musirawas) Jurnal Digital Teknologi Informasi Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Jurnal Pengembangan Sistem Informasi dan Informatika Jurnal Abdimas Musi Charitas Journal Health Applied Science And Technology (JHAST)
Fendri Martadinata
IKesT Muhammadiyah Palembang
Humanities Biochemistry, Genetics & Molecular Biology Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Environmental Science Health Professions Immunology & microbiology Medicine & Pharmacology Nursing Public Health Social Sciences

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Real-Time, Machine Learning-Based Personalized Notifications in the Al-Qur’an Tahsin and Tahfiz Mentoring System Fendri Martadinata; Ridwan Hakim; M. Ridho Tahsinul Amal
Jurnal Sisfokom (Sistem Informasi dan Komputer) Vol. 15 No. 3 (2026): JULY
Publisher : ISB Atma Luhur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32736/sisfokom.v15i3.2654

Abstract

Mentoring for tahsin and tahfiz of the Qur’an is a crucial activity in enhancing the ability to read and memorize the Qur’an correctly and consistently. However, its implementation still faces various challenges, including irregular participant attendance, ineffective schedule coordination, and limitations in the communication system that hinder optimal fulfillment of individual needs. The notification systems currently in use tend to be generic, making them less effective in boosting participant engagement. Furthermore, previous research has generally not integrated machine learning-based predictive approaches with adaptive notification systems in the context of Qur’anic recitation and memorization mentoring, resulting in a gap in efforts to proactively increase participant participation. This study aims to develop an adaptive and personalized real-time notification system using the Random Forest algorithm and WhatsApp Gateway. Random Forest was chosen because it can handle highly complex data, reduce overfitting, and provide stable classification performance. The model is used to analyze attendance patterns, predict potential absences, and determine the appropriate timing and content of messages for each participant. The dataset consists of 5,664 mentoring activity records collected from a campus environment over a specific period. Each record represents a single attendance activity at one session, with a total of 16 sessions per participant. It includes attendance history, activity time, and participant engagement levels. The testing phase indicates that the model achieves an accuracy of 94.17%, with precision, recall, and F1-score of 91.67%, 97.17%, and 94.34%, respectively. These results correspond to a binary classification task (Present and Absent), where a probability threshold of ≥0.5 is applied for triggering notifications. This study offers novelty through the integration of a predictive model with a real-time WhatsApp-based notification system capable of enhancing communication personalization. Its contribution lies in improving the effectiveness of participant engagement through a data-driven adaptive notification approach.
Perancangan Sistem Informasi Inventori Berbasis Web Dalam Meningkatkan Pengelolahan Data Aset Di UM-AD Palembang A. Firdaus; Fendri Martadinata; RM Farhan Ali
Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Vol 11, No 2 (2026): Edisi Agustus
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/jurasik.v11i2.992

Abstract

An inventory information system is an essential component of asset management that supports organizations in managing, monitoring, and controlling asset data effectively and efficiently. Effective inventory management not only ensures the availability of accurate information but also facilitates decision-making, reporting, and asset supervision. UM-AD Palembang currently relies on manual procedures for recording and managing inventory data. This manual approach has resulted in several problems, including data inaccuracies caused by human error, duplicate records, delays in report preparation, and difficulties in locating or tracking specific assets. Furthermore, manual processes slow down data updates, causing the available information to be less timely and reliable. To address these problems, this study aims to design and develop a web-based inventory information system to improve the quality of asset data management at UM-AD Palembang. The system was developed using the Waterfall method, consisting of requirements analysis, system design, implementation, testing, and maintenance. This development model was selected because it provides a systematic and measurable framework for system development. The outcome of this study is a web-based application that enables more integrated and efficient inventory management. The developed system facilitates faster, easier, and more accurate asset recording and automatically generates asset reports, thereby reducing potential errors and accelerating the reporting process. The implementation of this inventory information system is expected to support administrative activities, improve the effectiveness of asset monitoring, and provide more valid and reliable information for university management in making decisions related to asset management.
Co-Authors A. Firdaus Ahmad Firdaus, Ahmad Amal, M.Ridho Tahsinul Arif Fadillah Dendra Egga Asoka Firdaus, A Indah Sari M. Ridho Tahsinul Amal Nursalam, M. Vikram Paray Theo Lonando Putri, Raizha Fasillah Ridwan Hakim Ridwan Hakim Rizqillah, Cantika Arzsyah RM Farhan Ali Rusera, Siti Akhirunnisah Soleha, Siti Ulfa, Wafiq Nanda