Article Per Year (5 Year)
p-Index From 2021 - 2026
2.147
P-Index
This Author published in this journals
All Journal International Journal of Electrical and Computer Engineering Sistemasi: Jurnal Sistem Informasi JURNAL ILMIAH MATEMATIKA DAN TERAPAN JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Vygotsky: Jurnal Pendidikan Matematika dan Matematika Jurnal Pengabdian Masyarakat Bhinneka Transcendent Journal of Mathematics and Applications Jurnal Pengabdian Farmasi dan Sains IJoICT (International Journal on Information and Communication Technology)
Abdul Mahatir Najar
Tadulako University
Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Economics, Econometrics & Finance Education Electrical & Electronics Engineering Environmental Science Immunology & microbiology Mathematics Medicine & Pharmacology Physics Public Health

Published : 13 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 13 Documents
Search

 1   2 
Design and Implementation of a Production Forest Monitoring Information System in Central Sulawesi Province Syahrullah, Syahrullah; Najar, Abdul Mahatir; Ngemba, Hajra Rasmita; Hendra, Syaiful
Sistemasi: Jurnal Sistem Informasi Vol 14, No 2 (2025): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v14i2.5073

Abstract

Kesatuan Pengelola Hutan (KPH) Dolago Tanggunung, as one of the production forest managers in Central Sulawesi, faces serious challenges such as illegal logging, forest encroachment, and a high risk of forest fires. The complexity of managing production forests in this region is further hindered by manual data collection and reporting processes, which pose significant limitations. This study develops a Production Forest Management and Monitoring Information System aimed at improving efficiency in recording and monitoring production forests using the Agile-Scrum methodology, allowing for incremental development based on user needs. The system is designed as a web-based platform with key features including data collection for fire-prone areas, illegal logging incidents, and forest encroachment, as well as integration with spatial data visualization technology. Testing results indicate that the system enhances data recording efficiency, transparency in reporting, and accelerates response to on-site incidents. The implementation of this system is expected to support data-driven decision-making and strengthen sustainable forest management.
Revealing the Relationship of Batik Motifs Using Convolutional Neural Network Najar, Abdul Mahatir; Abu, Maulidyani; Ratianingsih, Rina; Jaya, Agus Indra
Sistemasi: Jurnal Sistem Informasi Vol 13, No 5 (2024): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v13i5.4480

Abstract

This study explores the use of Convolutional Neural Network to identify and classify regional batik motifs, a significant aspect of Indonesian cultural heritage. The CNN model was optimized with Adam optimizer and used to extract distinctive features from the batik patterns. Subsequently, a hierarchical clustering method was employed to construct a relationship tree depicting the link between batik motifs based on their region. The research findings demonstrate that the CNN model effectively classifies batik motifs with an accuracy of up to 88%. The study provides insights into the intricate connections between regional batik designs and contributes to the preservation and understanding of Indonesia's cultural heritage.
StuntCare: Digital Innovation for Early Warning of Stunting-Risk Families in Sigi Regency Maulidyani Abu; Moh.Al-fath Salsabilah; Juni Wijayanti Puspita; Resnawati; Abdul Mahatir Najar; Rina Ratianingsih; Agus Indra Jaya; Abunawas Tjaija
IJoICT (International Journal on Information and Communication Technology) Vol. 11 No. 1 (2025): Vol. 11 No. 1 Jun 2025
Publisher : School of Computing, Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21108/ijoict.v11i1.9111

Abstract

The Prevalence of Stunting in Sigi Regency remains notably high at 36.8%, significantly above the national target. Stunting is frequently caused by recurrent infections, poor sanitation, and chronic nutritional deficiencies. Since stunting is a condition of chronic malnutrition that impairs a child's physical and cognitive development, an early warning system is essential for prevention. This study proposes the development of a web-based application to predict the risk of stunting in vulnerable families. Families are the primary focus as they serve as the first environment where children grow and develop. If risk factors are present within a family, the likelihood of stunting increases. Therefore, early detection is crucial for mapping family health conditions. By predicting stunting risks, families can take preventive measures before the condition severely impacts the child. This early warning system serves as a critical alarm, encouraging families to be more vigilant in maintaining the health of all household members. The stunting prediction system is developed as a web-based application, utilizing 11 variables for early stunting detection and employing the K-Nearest Neighbor (K-NN) method. The model's accuracy is evaluated using a Confusion Matrix, achieving an accuracy rate of 99.991%. Keywords: Early Warning System, Stunting, Classification, K-Nearest Neighbor, Confusion Matrix
Co-Authors Aan Bin Mardi Abunawas Tjaija Agus Indra Jaya Agusman Sahari Alfiani Andri Andri Deny Wiria Nugraha Dwi Shinta Angreni Dwimanhendra, Muhammad Rifaldi Fadjryani, Fadjryani Gamayanti, Nurul Fiskia Hajar Hajra Rasmita Ngemba Hayyan Ahmad Ulul Albab I Wayan Sudarsana Iwan Setiawan Juni Wijayanti Puspita Maulidyani Abu Maulidyani Abu Moh.Al-fath Salsabilah Ningrum, Desy Riani Sukma Nouval Trezandy Lapatta Nurul Ikrima RACHMAT HIDAYAT Resnawati Resnawati Rina Ratianingsih Rosiyadi, Didi Rusmi, Rusmi Ryfial Azhar, Ryfial Sultan Andhika Syahrullah Syahrullah Syaiful Hendra Yuri Yudhaswana Joefrie