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All Journal EPIC : Journal of Electrical Power, Instrumentation and Control
Muhammad Risqi Nuryana
Universitas Katolik Indonesia Atma Jaya
Electrical & Electronics Engineering

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Analysis of Voltage Drop and Illuminance Performance in 24 VDC LED Lightning System Using Different Driver Capacities Muhammad Risqi Nuryana; Moh Hanif Assubhi
EPIC Journal of Electrical Power Instrumentation and Control Vol 8 No 1 (2025): EPIC
Publisher : Universitas Pamulang, Prodi teknik Elektro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/epic.v8i1.58505

Abstract

This study examines how driver capacity influences voltage distribution and illuminance in a 24 VDC LED lighting installation. In many practical projects, differences in driver ratings are often assumed to have minimal impact as long as the load requirement is satisfied; however, voltage drop along the cable may affect the actual performance at the luminaire. An experimental measurement was conducted using identical LED fixtures connected through a 12-meter cable while varying the driver capacities at 20 W, 35 W, and 100 W. For each configuration, the output voltage from the driver, the voltage received at the LED terminals, and the resulting illuminance were recorded after stable operating conditions were reached. The observations show that higher driver capacity tends to provide slightly better voltage regulation at the load side, and this improvement is followed by an increase in measured illuminance. Although the voltage differences are relatively small, the trend consistently indicates the importance of proper driver selection in maintaining system effectiveness, especially in low-voltage installations with distribution distance. The results are expected to serve as a practical reference for electrical and lighting engineers in determining suitable driver specifications to achieve reliable and optimal lighting performance.
Implementation of Constraint Satisfaction Problem Approach for Solving the Zebra Puzzle with Prolog Tri Bagus Kurniawan; Muhammad Risqi Nuryana; Resi Sujiwo Bijokangko
EPIC Journal of Electrical Power Instrumentation and Control Vol 8 No 2 (2025): EPIC
Publisher : Universitas Pamulang, Prodi teknik Elektro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/epic.v8i2.58721

Abstract

Constraint Satisfaction Problem (CSP) Is a fundamental concept in artificial intelligence used to solve combinatorial problems by satisfying a set of constraints. The Zebra Puzzle is a classical example that involves assigning attributes such as nationality, house color, pet, drink, and candy to five houses based on logical clues. This study aims to implement CSP techniques using the Prolog programming language to solve the Zebra Puzzle. The methodology includes classifying all relevant attributes, encoding constraints into Prolog predicates, and applying helper functions to represent adjacency and ordering relationships. The puzzle is modeled as a list of structured facts, and Prolog’s inference engine is used to derive consistent solutions. The program successfully assigns all attributes to the correct house positions. For example, the Englishman lives in the red house, the Spaniard owns the dog, and the Ukrainian drinks tea. The Norwegian lives in the first house and drinks water, while the Japanese owns the zebra. These results confirm the effectiveness of Prolog in solving structured logic puzzles using CSP. The study concludes that logic programming is a reliable tool for modeling and solving constraint-based problems. This implies broader applicability of CSP in intelligent systems.
Co-Authors Moh Hanif Assubhi Resi Sujiwo Bijokangko Tri Bagus Kurniawan