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All Journal RABIT: Jurnal Teknologi dan Sistem Informasi Univrab JUSIM (Jurnal Sistem Informasi Musirawas) Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Scientific Journal of Informatics International Journal Software Engineering and Computer Science (IJSECS) Journal of Artificial Intelligence and Engineering Applications (JAIEA) Jurnal Sistem Informasi dan Teknologi (SINTEK) Journal Of Computer Science And Technology Journal of Science and Engineering
A. Hamdani
Universitas Ibrahimy
Automotive Engineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Engineering

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Implementasi Monitoring Jaringan dan Manajemen Billing Menggunakan API MikroTik pada AB Network Rahmat Hidayatullah; A. Hamdani; Adi Susanto
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 11 No 1 (2026): JANUARY
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA), Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v11i1.7355

Abstract

This study develops a web-based network monitoring and billing management system integrated with MikroTik API at AB Network, an internet service provider serving 624 active customers. The main issues addressed are the absence of real-time network monitoring and poorly integrated billing processes, which can lead to delayed fault detection and inaccurate customer data management. The system was developed using the Waterfall method, integrating MikroTik routers, a MySQL database, and WhatsApp Gateway to support network monitoring, customer management, automated billing, and notification delivery. Testing results show an average MikroTik API response time of 0.83 seconds and WhatsApp notification delivery time of 4.1 seconds, with 100% success in data synchronization and automated processes. The system effectively enhances real-time network monitoring, improves customer management efficiency, and provides more integrated and transparent services. Further load testing and performance evaluation are recommended for future development.
Sistem Informasi Geografis Visualisasi Data Stunting pada Balita Berbasis Web di Desa Sumberwaru Mochammad Rofi; A. Hamdani; Adi Susanto
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 11 No 1 (2026): JANUARY
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA), Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v11i1.7356

Abstract

Stunting is a chronic nutritional problem in toddlers that affects physical growth and cognitive development. In Sumberwaru Village, stunting data management is still done manually through Posyandu notebooks and written reports, which causes reporting delays and the risk of recording errors. This study aims to develop a web-based Geographic Information System (GIS) to visualize stunting data in toddlers to support more effective data management, monitoring, and spatial analysis. This study uses a Research and Development (R&D) approach with a Waterfall development model, consisting of needs analysis, system design, implementation, testing, and maintenance. The system was developed using JavaScript and MySQL and tested by 50 users consisting of Posyandu cadres, KPM officers, and village staff. Black-box testing showed that all main functions of the system operated successfully, while usability evaluation using a Likert-scale questionnaire produced an average score of 97.12%, indicating that the system is easy to use and useful for operational activities. The developed system enables faster and more structured management of toddler and stunting data and provides digital map visualization to identify areas with high stunting prevalence.
Analisis Sentimen Masyarakat terhadap Kebijakan Program Makan Bergizi Gratis (MBG) di X Menggunakan Metode Support Vector Machine (SVM) Mohammad Farhan Fatah; A. Hamdani; Farihin Lazim
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 11 No 1 (2026): JANUARY
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA), Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v11i1.7407

Abstract

The Free Nutritious Meal (MBG) policy has elicited diverse responses on social media platform X, necessitating sentiment analysis to objectively understand public opinion. This study employs Support Vector Machine (SVM) with TF-IDF weighting to classify 3,796 opinion data into positive, negative, and neutral sentiments. Results show the SVM model achieves an accuracy of 76.05%. Public perception is predominantly positive (1,431 data), followed by neutral (1,258), and negative (1,107). Word Cloud analysis indicates optimism based on hopes for improved student nutrition, while negative opinions highlight concerns about food safety and budget transparency. In conclusion, MBG enjoys strong public support, but the government should prioritize food safety and transparent financial management to reduce public unrest. Identifying negative sentiments provides a basis for critical evaluation and future policy improvements.
Co-Authors Achmad Baijuri Elsa Wardani Faqih Nur Rahman Fauzan Firdaus Hasan Basori Imelda Eka Stefani Kafil Albab Ahsan Ramadhani Lailin Nafi’ah Lazim, Farihin Mochammad Rofi Moh. Alfian Husni Mubarok Moh. Baha'Uddin Hidayat Mohammad Farhan Fatah Nida Lutfiyah Rahmat Hidayatullah Sofi Naila Nuriyazih Wildatul Hasanah