Rudjiono Rudjiono
Universitas Sains dan Teknologi Komputer, Semarang, Indonesia

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Implementasi sistem IoT untuk monitoring dan deteksi dini kerusakan bearing motor induksi Yuli Leksana; Setiyo Adi Nugroho; Rudjiono Rudjiono
Elkom: Jurnal Elektronika dan Komputer Vol. 19 No. 1 (2026): Juli : Jurnal Elektronika dan Komputer
Publisher : STEKOM PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/elkom.v19i1.3762

Abstract

Induction motors are essential components in industrial systems, where bearing failures can cause increased vibration, overheating, reduced performance, and unexpected production downtime. Conventional monitoring methods are generally manual and periodic, limiting the ability to detect early signs of failure in real time. This study aims to develop an Internet of Things (IoT)-based monitoring and early fault detection system for induction motor bearings using a DS18B20 temperature sensor, ADXL345 vibration sensor, ESP32 microcontroller, Blynk cloud platform, and a risk score decision method. The research employed a research and development (R&D) approach with a prototyping model to design and evaluate the proposed system. Experimental results showed that the DS18B20 sensor was able to detect temperature changes properly, while the ADXL345 sensor successfully measured vibration changes with readings relatively close to reference instruments. The Blynk platform successfully displayed temperature and vibration monitoring data in real time, although minor delays were observed due to network conditions. System testing under four simulated operating conditions confirmed that the risk score method successfully classified motor conditions into normal, warning, danger, and shutdown categories according to predefined thresholds. The developed system demonstrates the potential to support continuous monitoring and early fault detection of induction motor bearings, contributing to more effective preventive maintenance in industrial applications.
Analysis of Judges’ Considerations in Rendering Decisions on Digital-Based Fraud Criminal Cases in Indonesia Dian Kharisma; Rudjiono Rudjiono; Agus Priyadi
Perkara : Jurnal Ilmu Hukum dan Politik Vol. 4 No. 2 (2026): Juni : Jurnal Ilmu Hukum dan Politik (PERKARA)
Publisher : Universitas Sains dan Teknologi Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/4k9f4653

Abstract

The rapid development of information and communication technology has significantly transformed patterns of criminal activity, particularly in the emergence of digital-based fraud cases, which present new challenges for the criminal justice system, especially for judges in assessing evidence and formulating legal considerations. This study aims to analyze the factors underlying judges’ considerations in rendering decisions on digital-based fraud cases in Indonesia, as well as to examine how digital evidence is evaluated within the judicial process. This research employs a qualitative approach with a normative juridical method combined with a case study approach, using data collected from the analysis of 8–12 court decisions related to digital fraud cases from 2019 to 2024, supported by in-depth interviews with judges and prosecutors. The data were analyzed using a descriptive qualitative method to identify patterns in judicial reasoning and decision-making processes. The findings reveal that judges’ considerations are not solely based on legal norms but are also influenced by their ability to understand and assess the authenticity and reliability of digital evidence, with variations in judicial reasoning arising due to technical limitations and differing levels of digital literacy among legal actors. These results highlight the complexity of adjudicating digital-based fraud cases compared to conventional cases. This study contributes to the development of criminal law and cyber law by emphasizing the need for adaptive legal reasoning in response to technological advancements and provides practical implications for improving judicial capacity in handling digital evidence.