Article Per Year (5 Year)
p-Index From 2021 - 2026
0.61
P-Index
This Author published in this journals
All Journal Journal of Embedded Systems, Security and Intelligent Systems Journal of Community Services and Development
Ibnu Hajar
Universitas Negeri Makassar
Computer Science & IT

Published : 3 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 3 Documents
Search

 1 
SVM Parameter Optimization with PSO for Sensor-Based Water Quality Classification and Monitoring Dashboard Andi Muharram; Hasmiah Husayn; Ibnu Farhan Hasrul; Ibnu Hajar; Ibnu Mundzir Hasanuddin; Ikram Anas
Journal of Embedded Systems, Security and Intelligent Systems Vol 6, No 1 (2025): March 2025
Publisher : Program Studi Teknik Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/te7wgc92

Abstract

Water quality monitoring is essential for environmental sustainability and public health protection. Conventional laboratory-based testing is often time-consuming and unsuitable for real-time monitoring systems. The development of sensor-based Internet of Things (IoT) technology enables continuous acquisition of water quality parameters such as pH, temperature, turbidity, and Total Dissolved Solids (TDS). However, accurate classification of water quality from multi-parameter sensor data remains a challenge due to non-linear data characteristics and the sensitivity of machine learning models to parameter selection. This study aims to optimize the parameters of Support Vector Machine (SVM) using Particle Swarm Optimization (PSO) for sensor-based water quality classification and to integrate the optimized model into a real-time monitoring dashboard. A quantitative experimental approach was employed by comparing the performance of standard SVM and PSO-optimized SVM models. The dataset consisted of sensor measurements collected over 30 days and was evaluated using accuracy, precision, recall, and F1-score metrics. The results show that parameter optimization significantly improves classification performance and enhances the model’s ability to detect critical water quality conditions. The optimized SVM model was successfully integrated into a web-based dashboard capable of real-time monitoring and classification. This study demonstrates that combining metaheuristic optimization with machine learning provides an effective and practical solution for intelligent water quality monitoring systems
Pengembangan Platform TryOutku dalam Meningkatkan Kemampuan Numerasi Siswa Melalui Simulasi Tryout Matematika Berbasis Digital di SMP Bosowa School Makassar Miftah Nurrazzaq; Nur Syazwana; Ibnu Hajar; Sabri
Journal of Community Services and Development Vol. 2 No. 1 (2026): May 2026
Publisher : LPP Chani

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64619/v2i1.45

Abstract

Program ini bertujuan untuk menganalisis implementasi platform TryOutku dalam meningkatkan kemampuan numerasi siswa melalui simulasi tryout matematika berbasis digital di SMP Bosowa School Makassar. Penelitian menggunakan pendekatan deskriptif kualitatif dengan fokus pada proses penggunaan sistem, interaksi pengguna, serta dampak implementasi platform terhadap pembelajaran matematika. Subjek penelitian terdiri atas siswa dan guru SMP Bosowa School Makassar, sedangkan objek penelitian difokuskan pada penggunaan platform TryOutku dalam proses evaluasi pembelajaran matematika berbasis digital. Teknik pengumpulan data dilakukan melalui observasi, dokumentasi, dan studi sistem. Implementasi platform dilakukan dengan memanfaatkan perangkat telepon cerda sdan laptop yang terhubung pada sistem berbasis web melalui akses QR Code. Platform TryOutku dilengkapi dengan fitur dashboard guru, bank soal, analisis hasil siswa, dashboard siswa, serta riwayat latihan yang mendukung proses evaluasi dan pemantauan hasil belajar secara waktu nyata. Hasil penelitian menunjukkan bahwa penggunaan platform TryOutku mampu menciptakan proses evaluasi pembelajaran yang lebih efektif, interaktif, dan terstruktur. Siswa terlihat lebih aktif dan antusias dalam mengikuti simulasi tryout matematika berbasis digital, sedangkan guru memperoleh kemudahan dalam melakukan monitoring hasil belajar tanpa proses koreksi manual. Selain mendukung penguatan kemampuan numerasi siswa, implementasi platform ini juga berkontribusi terhadap peningkatan literasi digital di lingkungan sekolah. Pemanfaatan teknologi digital dalam pembelajaran matematika menunjukkan potensi besar dalam menciptakan sistem evaluasi yang lebih modern, efisien, dan berbasis data sesuai kebutuhan pendidikan abad ke-21.
Edlink LMS Training to Optimize ESM Learning for ICP Tutors Muhammad Ammar Naufal; Syahrullah Asyari; Arian Nurrifqhi; Fettyana; Ahmad Zuhudy Bahtiar; Ibnu Hajar; Fifi Alya Sa’dliani
Journal of Community Services and Development Vol. 2 No. 2 (2026): November 2026 (On Going)
Publisher : LPP Chani

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64619/v2i2.48

Abstract

Effective use of digital learning platforms remains a persistent challenge for tutors supporting the International Class Program (ICP) at the Faculty of Mathematics and Natural Sciences, Universitas Negeri Makassar (FMIPA UNM), particularly in the English for Subject Matter (ESM) course. Although the university has adopted the Edlink Learning Management System (LMS), its interactive features, such as discussion forums, assignment management, and structured content organization, remain underutilized. This community service program aimed to strengthen the competence of ICP tutors and lecturers in utilizing Edlink to support ESM learning. Implemented in partnership with the FMIPA International Students Community (FISCO), the program was attended by approximately 25 tutors and lecturers and followed a participatory sequence of socialization, training, technology implementation, mentoring, evaluation, and sustainability planning, delivered through a seminar and hands on practice in a computer laboratory at FMIPA UNM. The results show that participants gained practical proficiency in operating Edlink features, including course structuring, material upload, and discussion forum management, and produced an initial ESM digital class ready for further use. A post training evaluation questionnaire completed by all participants indicated a high level of satisfaction, with a mean overall rating of 9.24 out of 10 (SD = 0.83) and mean ratings above 4.6 out of 5 for training implementation, understanding of Edlink features, and readiness to apply them independently. This program is expected to contribute to the sustainable digitalization of ESM learning and to strengthen the partnership between the university and its student community.
Co-Authors Ahmad Zuhudy Bahtiar Andi Muharram Arian Nurrifqhi Fettyana Fifi Alya Sa’dliani Hasmiah Husayn Ibnu Farhan Hasrul Ibnu Mundzir Hasanuddin Ikram Anas Miftah Nurrazzaq Muhammad Ammar Naufal Nur Syazwana Sabri Syahrullah Asyari, Syahrullah