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Design and Development of a Two-Tub Washing Machine Trainer Based on Arduino Nano Rahmawati, Diana; Alfita, Riza; Nur Rohman, Mohammad Izhandi Ifan; Nahari, Rosida Vivin; Setiawan, Heri; Setiawibawa, Rachmat; Giri, Joseph Robert
ENERGY: JURNAL ILMIAH ILMU-ILMU TEKNIK Vol. 14 No. 1 (2024): ENERGY: JURNAL ILMIAH ILMU-ILMU TEKNIK
Publisher : Universitas Panca Marga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51747/energy.v14i1.p75-80

Abstract

A washing machine is a crucial device for society as it offers convenience and practicality. However, the efficiency of a washing machine can decline over time, especially in its components which may experience performance degradation or damage. This research involves designing a damage detection tool for washing machines, structured as a trainer operated in simulation form, serving as a learning medium to better understand the systematic functioning of washing machines. This trainer module uses toggle button switches installed on each cable line to simulate various damage conditions. The sensor used in this trainer is the PZEM-004T, which detects the current, voltage, and power used by the AC (Alternating Current) motor. To measure the motor's RPM (Revolutions per Minute) speed, a proximity sensor utilizing the Hall effect principle is employed. The microcontroller used to process the data generated by the sensors is an Arduino Nano, with the data displayed on an LCD (Liquid Crystal Display). In this research, the results based on the PZEM-004T sensor testing showed it could measure voltage, current, and power with an error rate of 7.3% and a success rate of 92.7%. The proximity sensor could measure motor speed with an error rate of 3.4% and a success rate of 96.6%. The main challenge in  the monitoring system was the real-time reading on the LCD screen frequently halting due to the long delay required to read the proximity Hall effect sensor values.
High-level Operation and the Reconfiguration of Energy Policy: Geopolitical Pressure and Oil Market Stability (Case Study in Venezuela) Giri, Joseph Robert; Putra, Suspada Siswa
Inkubis : Jurnal Ekonomi dan Bisnis Vol. 8 No. 1 (2026): INKUBIS Jurnal Ekonomi Dan Bisnis
Publisher : Politeknik Siber Cerdika Internasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59261/inkubis.v8i1.235

Abstract

Background: Geopolitical pressures on oil-producing states can reconfigure domestic political dynamics, alter the direction of energy policy, and generate spillover effects in the global oil market. Venezuela, possessing approximately 17% of global proven oil reserves, represents a critical case of a resource-rich state with high structural vulnerability to external coercive pressures. Objective: This study addresses the limitations of previous studies that tend to discuss geopolitical interventions, global power distribution, international law, and energy market dynamics separately. Methods: This study employs an explanatory qualitative approach with a single-case study design and a structured causal analysis framework. Research data were obtained from in-depth interviews with key informants, reports of international institutions, academic literature, as well as media interviews with experts, treated as supporting data. Results: The results of the study show that Venezuela is a relevant case to explain how the combination of high dependence on oil, limited deterrence capability, and external geopolitical pressures can affect the orientation of energy policy as well as increase market sensitivity to global energy supply risks. The findings of the study also indicate that although political changes in energy-producing countries do not automatically cause major global economic shocks in the short term, they can affect market expectations and energy investment prospects. Conclusion: The main contribution of this article is to offer an analytical framework that links geopolitical pressures, the vulnerability of oil-producing countries, changes in energy policy, and the dynamics of global oil markets in one integrated causal explanation.