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All Journal Martabe : Jurnal Pengabdian Kepada Masyarakat Jurnal Teknimedia: Teknologi Informasi dan Multimedia Electrician : Jurnal Rekayasa dan Teknologi Elektro Bulletin of Network Engineer and Informatics (BUFNETS)
Syaiful Mansur
Politeknik Negeri Lampung
Agriculture, Biological Sciences & Forestry Arts Humanities Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Engineering Social Sciences

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PENGEMBANGAN DAN EVALUASI EKSPERIMENTAL SISTEM DETEKSI KUALITAS TELUR REAL-TIME BERBASIS PENGOLAHAN CITRA DIGITAL DAN MODEL YOLO PADA PERANGKAT EDGE Iqbal May Aryanto; Syaiful Mansur; Ayu Sintianingrum; Ayang Kinasih; Eko Hari Tiarto
TEKNIMEDIA: Teknologi Informasi dan Multimedia Vol. 7 No. 1 (2026): June 2026
Publisher : Badan Penelitian dan Pengabdian Masyarakat (BP2M) STMIK Syaikh Zainuddin NW Anjani

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46764/teknimedia.v7i1.384

Abstract

The demand for chicken eggs as a nutritious protein source continues to rise, yet automated inspection technology in small-scale farms remains limited due to high costs. This study develops a standalone, low-cost real-time egg quality detection prototype based on the edge computing paradigm. The system is implemented on a Raspberry Pi 4 Model B using the YOLOv8n deep learning model to classify eggs into three categories: Good, Cracked, and Broken. Visual data is acquired via a Raspberry Pi Camera Module 3 supported by controlled white LED ring lighting at a fixed distance of 20 cm to mitigate environmental light variations. Experimental evaluation using 1,080 samples indicates that the system achieves an optimal accuracy of 91.30% at 320x320 resolution under controlled lighting. Technically, the system demonstrates stable performance with CPU usage ranging from 43% to 76%, while maintaining temperatures at 48-510C. Despite a processing speed of 0.5-0.6 FPS, the system's independence from cloud connectivity makes it a highly applicable objective inspection solution for small-scale farmers in regions with limited digital infrastructure.
Performance Evaluation of PID Control for Distance Maintenance in Wall-Following Robots Navigating Dynamic Trajectories Syaiful Mansur; Muhammad Ridwan Al Hafiz; Aknisa Alqibetia Sari; Ridho Akmal Sembiring
Bulletin of Network Engineer and Informatics Vol. 4 No. 1 (2026): BUFNETS (Bulletin of Network Engineer and Informatics) April 2026
Publisher : PT. GWEX NET PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59688/6g8j1952

Abstract

Autonomous navigation in wall-following robots plays a crucial role in maintaining movement stability within environments characterized by diverse path geometries. Conventional control methods often encounter oscillations and increased collision risks, particularly on dynamic trajectories. This study evaluates the performance of Proportional-Integral-Derivative (PID) control in maintaining a robot's navigation distance relative to a fixed 10 cm setpoint. The system was developed utilizing an Arduino Mega 2560 microcontroller and HC-SR04 ultrasonic sensors for distance feedback. PID parameters were determined using the Ziegler-Nichols tuning method, yielding optimal values of K_p=2, K_i=0.5, and K_d=1. Testing was conducted on both linear paths and dynamic trajectories consisting of 90° turns. The results demonstrate that on linear paths, the system successfully maintains the target distance with high precision, achieving deviations ranging from ±0.56 cm to ±1.13 cm with zero collisions. In contrast, a significant performance trade-off was observed on dynamic trajectories, where a spike in transient error led to an average distance shift to 11.88 cm and 1–2 collisions per trial. These findings highlight that while PID control is highly effective under stable linear conditions, it possesses inherent limitations in responding to rapid geometric changes and mechanical inertia. Consequently, further development, such as adaptive control logic or high-sampling-rate sensing, is required to enhance system robustness on dynamic trajectories.
PELATIHAN DAN EVALUASI PENGGUNAAN TRAINER HYBRID EBT TERHADAP PENINGKATAN KOMPETENSI SISWA TEKNIK INSTALASI TENAGA LISTRIK (TITL) DI SMKN 1 MERBAU MATARAM Novia Utami Putri; Agus Apriyanto; Fauzi Ibrahim; Retno Wahyudi; Alexander Sembiring; Adam Wisnu Murti; Syaiful Mansur; Ilham Saputra
Martabe : Jurnal Pengabdian Kepada Masyarakat Vol 9, No 5 (2026): MARTABE : JURNAL PENGABDIAN MASYARAKAT
Publisher : Universitas Muhammadiyah Tapanuli Selatan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31604/jpm.v9i5.2059-2065

Abstract

Pendidikan vokasi menuntut ketersediaan sarana praktik yang relevan dengan kebutuhan industri, namun SMKN 1 Merbau Mataram menghadapi kendala keterbatasan fasilitas praktik Energi Baru Terbarukan (EBT) yang menghambat pemahaman siswa secara komprehensif. Pengabdian ini bertujuan untuk mengevaluasi efektivitas pelatihan dan penerapan media pembelajaran Trainer Hybrid EBT (PLTS dan PLTB) dalam meningkatkan kompetensi siswa jurusan Teknik Instalasi Tenaga Listrik (TITL). Metode pelaksanaan dilakukan menggunakan pendekatan partisipatif melalui lima tahapan terstruktur: sosialisasi, pelatihan, penerapan teknologi, pendampingan dan evaluasi, serta keberlanjutan program. Intervensi ini menggunakan alat peraga terintegrasi panel surya 10 Wp dan turbin angin 500 W untuk mensimulasikan sistem hibrida secara nyata. Hasil evaluasi menunjukkan peningkatan signifikan pada pemahaman teknis siswa, mencapai persentase pemahaman 98% setelah pelaksanaan pelatihan. Program ini terbukti efektif menjembatani kesenjangan antara teori dan praktik, serta mendukung kemandirian sekolah dalam menyelenggarakan pembelajaran berbasis energi hijau
Smart Lab Energy – For Real-Time Electricity Consumption Monitoring In The Electronics Engineering Technology Laboratory, Polytechnic State Of Lampung Tomy Pratama Zuhelmi; Novia Utami Putri; Ayu Sintianingrum; Syaiful Mansur; Ernando Rizki; Amanda Putri Denizka; Altino Adni Riyadi
Electrician : Jurnal Rekayasa dan Teknologi Elektro Vol. 20 No. 1 (2026)
Publisher : Department of Electrical Engineering, Faculty of Engineering, Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/elc.v20n1.2970

Abstract

This study aims to design and implement an Internet of Things (IoT)-based electrical energy monitoring system capable of displaying real-time data in a vocational education laboratory environment. The developed system utilises an ESP32 microcontroller and a PZEM-004T sensor to accurately measure voltage, current, power, and energy parameters. The measurement data are transmitted to a cloud server and visualised through a digital dashboard, allowing users to monitor and analyse energy usage easily. The test results show that the system performs well and produces consistent data compared to manual measurements using a digital clamp meter. The implementation of this system has the potential to improve energy efficiency, reduce power waste, and support the application of a green campus concept in higher education institutions. Moreover, this system can be used as a project-based learning medium to enhance students’ competencies in embedded systems, sensors, and IoT-based automation.
Co-Authors Adam Wisnu Murti Agus Apriyanto Aknisa Alqibetia Sari Alexander Sembiring Altino Adni Riyadi Amanda Putri Denizka Ayang Kinasih Ayu Sintianingrum Eko Hari Tiarto Ernando Rizki Fauzi Ibrahim Ilham Saputra Iqbal May Aryanto Muhammad Ridwan Al Hafiz Novia Utami Putri Retno Wahyudi Ridho Akmal Sembiring Tomy Pratama Zuhelmi