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JTEIN: Jurnal Teknik Elektro Indonesia
Published by Universitas Negeri Padang
ISSN : -     EISSN : 27230589     DOI : https://doi.org/10.24036/jtein.v1i1.8
Core Subject : Science, Education, Engineering,
Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Energy Engineering
JTEIN: Jurnal Teknik Elektro Indonesia dikelola oleh Jurusan Teknik Elektro Fakultas Teknik Universitas Negeri Padang, dalam membantu para akademisi, peneliti dan praktisi untuk menyebarkan hasil penelitiannya. Fokus pada bidang yang terkait dengan Teknik Elektro.
Arjuna Subject : Teknik (semua kategori) - Teknik Listrik dan Elektro
Articles 334 Documents
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Implementation of Voltage Control on a Multilevel DC-DC Boost Converter Putra, Febi Ariefka Septian; Ilman, Sofyan Muhammad; Muminin, Muhamad Amirul; Pratama, Giga Verian; Lubis, Dini Hariani Fitri; Izaty, Annisa
Jurnal Teknik Elektro Indonesia Vol 7 No 1 (2026): JTEIN: Jurnal Teknik Elektro Indonesia
Publisher : Departemen Teknik Elektro Fakultas Teknik Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/jtein.v7i1.793

Abstract

A multilevel boost DC-DC converter is a solution for increasing DC voltage levels without requiring additional transformers, making it ideal for efficient power conversion applications and high-voltage systems. However, output voltage stability is often compromised due to load fluctuations and input voltage variations. To address this, this study aims to design and implement a control system based on the Proportional-Integral (PI) method to maintain the output voltage at a constant value of 200V from an initial input of 30V. The system was developed using an Arduino Nano microcontroller that acts as the main controller, regulating the PWM signal based on feedback from the voltage sensor. The converter circuit consists of a multilevel topology with one MOSFET, one inductor, and a cascaded array of capacitors and diodes. Tests were conducted under open-loop and closed-loop conditions, as well as with various resistive loads. The test results show that the PI method is able to provide good voltage stability and respond optimally to load changes, with minimal overshoot and fast steady-state time
Development of an MPS Distribution Station Jobsheet Based on Outseal PLC for Electropneumatic Control Learning Ahmad, Nurafni Fajarna Do; Candra, Oriza
Jurnal Teknik Elektro Indonesia Vol 7 No 1 (2026): JTEIN: Jurnal Teknik Elektro Indonesia
Publisher : Departemen Teknik Elektro Fakultas Teknik Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/jtein.v7i1.828

Abstract

This study aimed to develop a jobsheet based on the Modular Production System (MPS) Distribution Station using an Outseal PLC for electropneumatic control learning in vocational schools. The study was motivated by the suboptimal use of MPS facilities and the absence of structured practical learning guidelines, which led to students’ difficulties in understanding the relationship between theoretical concepts and industrial applications. This research employed a Research and Development (R&D) method using the ADDIE model, limited to the development stage. The developed jobsheet was validated by three experts consisting of material and media validators. Data analysis was conducted using Aiken’s V to determine the validity level of the product. The results showed that the material aspect obtained a validity value of 0.78, while the media aspect obtained 0.82, both categorized as valid. Therefore, the developed jobsheet is considered feasible to be used as a learning medium for electropneumatic control systems in vocational education
Iris recognition and classification methods Ulhaq, Husni Dhiyatri; Mukhaiyar, Riki
Jurnal Teknik Elektro Indonesia Vol 7 No 1 (2026): JTEIN: Jurnal Teknik Elektro Indonesia
Publisher : Departemen Teknik Elektro Fakultas Teknik Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/jtein.v7i1.829

Abstract

Conventional authentication methods such as passwords and Personal Identification Numbers (PINs) have proven to be vulnerable to misuse and data breaches, highlighting the urgent need for more reliable identity verification systems. Biometric-based authentication, particularly iris recognition, has emerged as a promising solution due to the unique and physiologically stable nature of iris patterns throughout a person's lifetime. However, previous studies in iris recognition have reported limited accuracy and lacked comprehensive evaluation using metrics such as Precision, Recall, and F1-Score. This study designed and implemented an iris recognition system using Gabor Wavelet as the feature extraction method combined with the K-Nearest Neighbor (K-NN) classification algorithm. The dataset was obtained from the CASIA Iris Database, consisting of 100 images covering 20 identity classes, of which 20 images were used as test data. The system pipeline comprised iris segmentation, normalization, feature extraction using Gabor Wavelet, and classification using K-NN with K=1 and Euclidean distance. System performance was evaluated using accuracy, Precision, Recall, and F1-Score metrics across multiple threshold values. The experimental results showed that the proposed system achieved an accuracy of 95%. At a threshold of 0.5, the system produced the best overall performance with a Precision of 0.90, Recall of 0.95, and F1-Score of 0.92. These findings confirmed that the combination of Gabor Wavelet and K-NN was effective for biometric-based iris recognition systems.
Digital Transformation of Laundry Businesses Through Digital Marketing: A Case Study of Bagas Laundry Business Group Candra, Oriza; Helmawati, Helmawati; Sebrina, Nurzi; Islami, Syaiful
Jurnal Teknik Elektro Indonesia Vol 7 No 1 (2026): JTEIN: Jurnal Teknik Elektro Indonesia
Publisher : Departemen Teknik Elektro Fakultas Teknik Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/jtein.v7i1.833

Abstract

This article examines digital transformation strategies in the laundry business sector, focusing on the “Bagas Laundry” business group and the implementation of digital marketing-based strategies. The study highlights significant improvements in business growth and operational performance after adopting digital transformation initiatives. Before implementing digital marketing, the market share of “Bagas Laundry” was only 10%, but it increased substantially to 45% by the end of 2022. The study emphasizes the importance of digital marketing strategies, including website and mobile application development, social media marketing, email campaigns, and Search Engine Optimization (SEO), in addressing the limitations of conventional marketing methods. The findings reveal that website traffic increased by 150% within the first six months of implementation, while customer conversion rates improved by 80%. In addition, the adoption of automation systems and digital payment integration enhanced operational efficiency by 30% and reduced order processing time by 40%. Employee training programs related to digital technology adaptation and online marketing skills also produced positive results, leading to a 25% increase in employee productivity. Customer experience improvements became another major focus, resulting in a 90% increase in customer satisfaction and customer retention rates remaining above 80%. Furthermore, the evaluation of Return on Investment (ROI) showed that the business achieved an ROI of 200% in 2022, accompanied by an annual net revenue growth of 120%. Overall, the case study demonstrates that digital transformation significantly improved revenue, market expansion, and customer satisfaction in the laundry business sector.

Page 34 of 34 | Total Record : 334

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