Article Per Year (5 Year)
p-Index From 2021 - 2026
0.444
P-Index
This Author published in this journals
All Journal Jurnal Teknik Informatika ELKHA : Jurnal Teknik Elektro
Muhamad Dwisnanto Putro
Unknown Affiliation
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Energy Industrial & Manufacturing Engineering Library & Information Science

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
Desain Sistem Kendali Listrik Jarak Jauh Berbasis Internet of Things: Design of Remote Electricity Control System Based on Internet of Things Franky Manoppo; Andreas Sumendap; Rosdiana Simbolon; Tony Laloan; Gede Erik Aktama; Riyando Assire Siregar; Muhamad Dwisnanto Putro
Jurnal Teknik Informatika Vol. 18 No. 4 (2023): Jurnal Teknik Informatika
Publisher : Universitas Sam Ratulangi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35793/jti.v18i4.48114

Abstract

Abstract — Designing a remote control can enable users without directly visiting the system. Controlling the source of electricity impacts increasing the efficiency of a system's performance and leads to monitoring and analyzing savings. Internet of Things network design is proposed in this research to control electrical equipment from an electrical panel source. The connection system between the Wemos D1 microcontroller and the designed Website can turn on and off the power lines on different building floors through a website information system. This study also describes the working system of data transmission between the Wemos D1 microcontroller and the Website by proposing a two-position control system design, namely on/off, based on the method of Observation, Interview, and Literature study. This study offers a prototype with C programming language as a Wemos D1 microcontroller design and information system simulation with HTML, CSS, Javascript, Node.js, and MongoDB as a Website design. The result is a two-position control system prototype that can operate properly to turn on and off the power lines on the 3rd and 4th floors, thereby increasing efficiency in terms of time and energy. Key words— Control System, Internet of Things, Two Positions, Wemos D1, Website   Abstrak — Perancangan sebuah kendali jarak jauh dapat memudahkan penggunanya tanpa mengunjungi secara langsung sistem tersebut. Pengendalian sumber listrik berdampak untuk peningkatan efesiensi kinerja sebuah sistem serta bermuara pada sebuah monitoring dan analisa penghematan. Sebuah desain jaringan internet of things diusulkan pada penelitian ini untuk mengendalikan peralatan listrik dari sebuah sumber panel listrik. Sistem koneksi antara mikrokontroler Wemos D1 dan Website yang dirancang dapat menghidupkan dan mematikan jalur listrik pada lantai bangunan yang berbeda melalui sebuah sistem informasi website. Studi ini juga memamparkan sistem kerja transmisi data antara mikrokontroler Wemos D1 dan Website dengan mengusulkan sebuah perancangan sistem kontrol dua posisi yaitu on/off berdasarkan metode Observasi, Wawancara and Studi pustaka. Studi ini menawarkan sebuah prototipe dengan bahasa pemrograman C sebagai perancangan mikrokontroler Wemos D1 dan simulasi system informasi dengan HTML, CSS, Javascript, Node.js, MongoDB sebagai perancangan pada Website. Hasilnya adalah sebuah prototipe sistem kontrol dua posisi yang dapat beroperasi dengan baik untuk menghidupkan dan mematikan jalur listrik di lantai 3 dan 4, dengan demikian dapat meningkatkan efisiensi dalam hal waktu dan juga tenaga. Kata kunci — Sistem Kontrol, Internet of Things, Dua Posisi, Wemos D1, Website.
Underwater Object Detection Using Efficient Network via Enhanced Channel Recalibration Prasetya, Hebron; Sambul, Alwin M.; Karlina, Andi R. A.; Muhamad Dwisnanto Putro
ELKHA Vol. 18 No.2 October 2026
Publisher : Faculty of Engineering, Universitas Tanjungpura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26418/elkha.v18i2.110905

Abstract

Underwater object detection is an important application of computer vision for automated monitoring systems. However, detection performance in underwater environments is hindered by unstable illumination, image blur, and optical distortion from refraction, which degrade visual quality and feature representation. Existing attention-based approaches can enhance feature extraction and detection performance, but their additional computational complexity may limit inference efficiency and deployment on resource-constrained devices. To address these limitations, this study proposes a lightweight modification of YOLO12-nano that combines channel tuning with a newly designed Enhancement Channel Recalibration (ECR) module. Unlike previous attention-based approaches, ECR is specifically designed to enhance the extraction and recalibration of channel-wise information, enabling more effective feature refinement without introducing substantial computational overhead. In addition, channel dimensions within the YOLO12-nano architecture are reduced to obtain a more lightweight detector while preserving its detection capability. Experimental results on the Real-World Underwater Object Detection dataset demonstrate that the proposed detector achieves an mAP50-95 of 61.8%, representing a 1.31% improvement over the original YOLO12-nano, while reducing the number of parameters by 22.12% to 2.0 million and computational cost by 3% to 6.3 GFLOPs. The proposed model also achieves an inference speed of 23.08 FPS on a CPU, compared with 21.3 FPS for YOLO12-nano. These results demonstrate that the proposed combination of channel tuning and ECR provides a favorable balance between detection performance and computational efficiency, making the detector more suitable for real-time underwater monitoring and deployment on resource-constrained devices.
Co-Authors Alwin M. Sambul, Alwin M. Andreas Sumendap Franky Manoppo Gede Erik Aktama Karlina, Andi R. A. Prasetya, Hebron Riyando Assire Siregar Rosdiana Simbolon Tony Laloan