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Agus Ramelan
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Ruang Prodi Teknik Elektro Gedung 3, Lt. 2, Fakultas Teknik Universitas Sebelas Maret Jalan Ir. Sutami 36 Kentingan, Jebres, Surakarta, Jawa Tengah, Indonesia 57126
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Journal of Electrical, Electronic, Information, and Communication Technology (JEEICT)
Published by Universitas Sebelas Maret
ISSN : -     EISSN : 27151263     DOI : https://dx.doi.org/10.20961/jeeict.2.2.45291
Core Subject : Science, Engineering,
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering
Journal of Electrical, Electronic, Information and Communication Technology (JEEICT) is a peer-reviewed open-access journal in English published twice a year by the Department of Electrical Engineering, Sebelas Maret University, Indonesia. The JEEICT aims to provide a leading-edge medium for researchers, industry professionals, engineers, educators, students to disseminate research work and studies in the fields of electrical, electronics, information and communication technology. The journal publishes work from power systems, electronics, instrumentation, and biomedical engineering, renewable energy and its application, control systems, information technology, and communication and vehicular technology disciplinary, in theoretical and experimental perspectives.
Arjuna Subject : Teknik (semua kategori) - Teknik Listrik dan Elektro
Articles 95 Documents
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Enterprise Architecture Design of SPBE Using TOGAF ADM for Improving Operational Efficiency: A Case Study of the Mining Sector at the West Java ESDM Agency Darsono, Dede; Febriani, Shafira; Rochmansyah, Puja
Journal of Electrical, Electronic, Information, and Communication Technology Vol 8, No 1 (2026): JOURNAL OF ELECTRICAL, ELECTRONIC, INFORMATION, AND COMMUNICATION TECHNOLOGY
Publisher : Universitas Sebelas Maret (UNS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/jeeict.8.1.111052

Abstract

The Energy and Mineral Resources (ESDM) Agency of West Java, particularly its Mining Division, faces significant operational inefficiency challenges due to manual work processes, undocumented data management, and fragmented information systems. This condition hinders the achievement of strategic goals and compliance with the mandate of the Electronic-Based Government System (SPBE) as stipulated in Presidential Regulation No. 95 of 2018. This research aims to design an Enterprise Architecture (EA) to improve efficiency using the TOGAF ADM framework. The as-is analysis identified key problems in licensing, reporting, monitoring, and complaint services. As a solution, a to-be architecture was formulated based on the integrated E-Osmosys platform with a centralized database and API integration. Conceptual validation indicates the potential to eliminate data redundancy by up to 100% and achieve significant time efficiency improvements. The resulting blueprint provides a measurable strategic foundation for digital transformation to realize more efficient and reliable governance.
Enhancing the Readability of Academic Data for Machine Learning through Preprocessing Techniques Soraya, Anna Mayyah; Rahutomo, Faisal; Anwar, Miftahul
Journal of Electrical, Electronic, Information, and Communication Technology Vol 8, No 1 (2026): JOURNAL OF ELECTRICAL, ELECTRONIC, INFORMATION, AND COMMUNICATION TECHNOLOGY
Publisher : Universitas Sebelas Maret (UNS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/jeeict.8.1.103104

Abstract

Academic data plays a central role in supporting decision-making in educational institutions. However, the successful implementation of machine learning to analyze and make predictions based on academic data highly depends on the quality and readability of the data. To fully harness the potential of machine learning, careful preprocessing of academic data is essential. This research aims to design and implement preprocessing techniques, that is imputation, winsorizing, and dropping data on academic data. To handle missing values, the Multivariate Imputation by Chained Equation method is used with three different algorithms, linear regression, random forest, and KNN, and then the accuracy of these three algorithms in predicting missing values is compared. Additionally, winsorizing method is applied to outliers and data duplication is addressed by dropping duplicate data. Based on the testing results through evaluation metrics, these preprocessing techniques can improve model accuracy by 0.037 for MAE, 0.11 for RMSE, and 0.006 for MSE. The processed data allows the model to function more optimally and produce more reliable results.
Schedule Information System of Medical Profession Program Al Hanif, Zaidan Alvin; Rahutomo, Faisal; Sulistyo, Meiyanto Eko
Journal of Electrical, Electronic, Information, and Communication Technology Vol 8, No 1 (2026): JOURNAL OF ELECTRICAL, ELECTRONIC, INFORMATION, AND COMMUNICATION TECHNOLOGY
Publisher : Universitas Sebelas Maret (UNS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/jeeict.8.1.103117

Abstract

This article details the development of an automated, web-based scheduling system for medical professional education at UNS Surakarta, Indonesia. The goal of this research was: To build an information system assisting UNS medical faculty administrators by automating medical professional education scheduling and enabling fast, precise, and efficient schedule access. This study employed a prototyping method, sequentially defining the objective object (system requirements), designing, implementing, and evaluating the system. The prototyping method focuses on finding the general purpose of the system because this prototype is an initial description of the system for greater continuation. Several diagrams, such as ERD and use case diagrams, describe the system architecture design. The team performed system testing using the black box method to ensure the system functions as designed. The results show that the system can produce clinical clerkship scheduling more quickly and effectively. After testing the black box system, a user acceptance testing test was to be carried out by conducting a satisfaction survey, getting an assessment result of 76.9%. This system's user satisfaction was relatively high.
Intelligent Electric Vehicle Charging Controller: CCCV Concepts, Challenges, and Future Directions Sutikno, Tole; Wahono, Tri; Jopri, Mohd Hatta
Journal of Electrical, Electronic, Information, and Communication Technology Vol 8, No 1 (2026): JOURNAL OF ELECTRICAL, ELECTRONIC, INFORMATION, AND COMMUNICATION TECHNOLOGY
Publisher : Universitas Sebelas Maret (UNS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/jeeict.8.1.110626

Abstract

Electric vehicles (EVs) play an important role in the transition to sustainable energy systems, but their success relies heavily on efficient, safe, and adaptive charging systems. The Constant Current Constant Voltage (CCCV) method has become a key strategy in lithium-ion battery charging due to its ability to maintain voltage stability, prevent overcharging, and extend battery life. This paper is a review article that presents a conceptual analysis of CCCV-based EV charging controller systems without involving experiments or simulations. The study synthesizes the current literature to examine the integration of CCCV with Battery Management Systems (BMS), Solid-State Transformers (SST), artificial intelligence (AI), and intelligent grid infrastructure. The novelty of this paper lies in a holistic approach that links the strategies of charge control, power electronics, energy management, and grid stability areas that are often discussed separately. A structured taxonomy and comparative analysis are presented to identify technical challenges, research gaps, and the direction of development of adaptive and AI-based EV charging systems. This review confirms that CCCV remains the main foundation of EV charging, whose performance can be significantly improved through the integration of smart technology and modern grids.
Implementation of Finger Gesture-Based Medicine Delivery Robot Control System with MediaPipe Zarkasi, Ahmad; Pradnyananda, Gede; Sembiring, Sarmayanta; Prasetyo, Aditya P. P.; Ricy Firnando, Ricy; Abdurahman, Abdurahman
Journal of Electrical, Electronic, Information, and Communication Technology Vol 8, No 1 (2026): JOURNAL OF ELECTRICAL, ELECTRONIC, INFORMATION, AND COMMUNICATION TECHNOLOGY
Publisher : Universitas Sebelas Maret (UNS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/jeeict.8.1.108142

Abstract

This research introduces a prototype drug delivery robot that is controlled entirely through finger gestures, without the need for direct touch or additional physical control devices. The system utilizes a Pi Camera connected to a Raspberry Pi to capture the image of the user's hand, which is then processed by MediaPipe Hands to perform detection and extraction of 21 point landmarks in real-time. The position and relationship between landmarks are converted into a five-bit binary vector that represents which finger is raised. This binary data is then sent via serial communication to the STM32 Nucleo microcontroller, which is tasked with translating the binary pattern into motion commands (forward, backward, turn right/left, stop) to drive the DC motor. The results of testing the gesture recognition system, which was performed 30 times for each command, showed a high success rate. The gesture Stop achieved perfect success (30/30), followed by 'Forward' and 'Right' with 10 successes, and 'Backward' and 'Left' with 9 successes. This test shows that the system is able to respond accurately to gesture commands at a distance of 20 to 250 cm. The robot was also able to execute all motion commands responsively and accurately according to the recognized gestures. This prototype proves that MediaPipe can be an efficient and reliable method to implement gesture-based robot control on resource-constrained embedded platforms, as well as potentially applied in healthcare environments to minimize physical contact.

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