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All Journal CommIT (Communication & Information Technology) International Journal of Advances in Intelligent Informatics Indonesian Journal of Electrical Engineering and Computer Science Vertex Elektro
Zahir Zainuddin
Hasanuddin University
Computer Science & IT Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Mechanical Engineering

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An Automated Feeding System for Soft Shell Crab Muhammad Niswar; Zahir Zainuddin; Yushinta Fujaya; Zagita Marna Putra
Indonesian Journal of Electrical Engineering and Computer Science Vol 5, No 3: March 2017
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v5.i3.pp564-568

Abstract

Soft shell crab farming has been practiced in south-east Asian countries such as Indonesia. Soft shell crabs are harvested when they have just molted to prevent their shells from being hardened. An issue arises when feeding the crabs. Farmers need to feed the crabs 5% food of their body weight. However, farmers sometimes provide incorrect amounts of food to the crabs. If farmers feed the crab exceeding the required amounts of food, it causes food wastage and dirty water in the crabs’ cage. On the other hand, less amounts of food causes slow growth and molting of the crabs. In this study, we developed an automated feeding system for properly feeding of soft-shell crabs. The automated feeding system schedules the feeding time and controls the portion of food using a microcontroller. We also developed a web-based monitoring system to monitor and generate alert message to farmers to make sure that feeding process runs properly.
Web Server Load Balancing Mechanism with Least Connection Algorithm and Multi-Agent System Afiyah Rifkha Rahmika; Zulkifli Tahir; Ady Wahyudi Paundu; Zahir Zainuddin
CommIT (Communication and Information Technology) Journal Vol. 17 No. 2 (2023): CommIT Journal
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/commit.v17i2.8872

Abstract

Demands for information over the Internet massively increase through the continuous expansion of website applications. Therefore, generating powerful and efficient server architecture for web servers is a must to satisfy Internet users and avoid the overloaded system. The research focuses on developing a new mechanism for load balancing to distribute incoming HTTP requests in website applications by combining the Least Connection algorithm and Multi-Agent System (LC-MAS). The proposed mechanism distributes the request based on load condition and the fewest number of active connections. The research applies virtualization technology to build servers on this proposed mechanism. The architecture is built inside a physical server with Proxmox as virtualization management and Linux Debian 7.11 as an operating system. Then, the research is tested in two scenarios (LCMAS and LC) using 500, 1,000, and 1,500 requests. The performance of this proposed mechanism is measured through the values of average response time, throughput, and error percentage. The results show that the proposed mechanism (LC-MAS) distributes the workload more equally than LC, with an average response time for 1,500 requests of 1338.8 milliseconds, 20.07% error, and 125 transactions per second. The LC-MAS makes the website application performance much better when the request increases. The LC-MAS helps in the utilization of system resources and improves system robustness.
Enhancing anomaly lane detection accuracy using feature cross attention in U-Net architecture Zahir Zainuddin; Muhammad Abdillah Rahmat; Elly Warni; A. Ais Prayogi Alimuddin
International Journal of Advances in Intelligent Informatics Vol 12, No 2 (2026): May 2026
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26555/ijain.v12i2.2327

Abstract

Lane departure detection is a crucial task in advanced driver assistance systems (ADAS) and autonomous driving, aimed at reducing accidents caused by unintentional road deviation. This study proposes a modified U-Net architecture enhanced with Feature Cross Attention (FCA) to improve lane departure anomaly detection. The objective is to enhance spatial sensitivity and context awareness in segmentation, especially under challenging driving conditions such as occlusions, poor lighting, and distorted lane geometry. The materials used include the publicly available Comma 2k19 LD dataset, comprising 2,000 manually annotated frames extracted from highway driving scenarios. Each frame includes synchronized video and driving telemetry, offering diverse visual conditions. Preprocessing steps include resizing, normalization, and annotation conversion to binary masks. An anomaly is defined as a spatial deviation threshold between predicted and ground-truth lane boundaries. The proposed method incorporates FCA at the bottleneck and decoder levels of the U-Net architecture. Evaluation was performed using Intersection over Union (IoU), Pixel Accuracy, and threshold-based anomaly criteria. The model achieved 99.19% Pixel Accuracy and 98.47% IoU, outperforming the baseline U-Net (97.56% and 97.46%, respectively). Visual results showed improved detection of subtle lane shifts. A confusion matrix generated over 210 validation images demonstrated perfect classification of normal and anomalous cases. These results confirm that FCA integration enhances segmentation precision and anomaly sensitivity. The approach is suitable for real-time deployment in autonomous systems. Future research may focus on temporal integration, lightweight optimization for embedded devices, and the extension of the framework to multi-lane or urban traffic environments.
EFEKTIFITAS BACK UP TIME UPS (UNINTERRUPTIBLE POWER SUPLY) PADA PT. VEKTORDAYA MEKATRIKA MAKASSAR Haidir Akbar; Andi Halik Latekko; Zahir Zainuddin
VERTEX ELEKTRO Vol. 18 No. 1 (2026): Februari
Publisher : Fakultas Teknik Universitas Muhammadiyah Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26618/tee9h093

Abstract

Intisari— Penelitian ini merupakan penelitian deskriptif yang bertujuan untuk mengetahui taraf efektivitas backup time UPS pada PT. Vektordaya Mekatrika Makassar. Untuk memperoleh data dan informasi dalam penelitian ini digunakan teknik pengumpulan data dengan observasi, dokumentasi dan wawancara tentang backup time UPS. Hasil dari penelitian ini menunjukkan bahwa backup time UPS dalam menyuplai daya ke beban saat terjadi gangguan atau pemadaman listrik pada PT. Vektordaya Mekatrika Makassar memiliki taraf efektif yang baik. Hal ini dilihat dari output aktual dalam hal ini backup time UPS berdasarkan hasil pengukuran lebih besar dari output target, baik dilihat dari dokumentasimaupun kajian teori (persamaan backup time). Pada output aktual, backup time UPS 2 jam 53 menit, sedangkan pada output target dari dokumentasi dan kajian teori masing-masing 2 jam 48 menit dan 2 jam 46 menit. Dengan demikian backuptime UPS memenuhi taraf efektivitas karena output aktualnya berbanding output target lebih besar atau sama dengan 1 (satu).
Co-Authors A. Ais Prayogi Alimuddin Ady Wahyudi Paundu Afiyah Rifkha Rahmika Andi Halik Latekko Elly Warni Haidir Akbar Muhammad Abdillah Rahmat Muhammad Niswar Yushinta Fujaya ZAGITA MARNA PUTRA BACHTERANSYAH Zulkifli Tahir