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All Journal Elkom: Jurnal Elektronika dan Komputer Jurnal Perspektif: Jurnal Kajian Sosiologi dan Pendidikan Teknik: Jurnal Ilmu Teknik dan Informatika Journal of Engineering, Electrical and Informatics (JEEI) Jurnal Ilmiah Manajemen, Bisnis dan Kewirausahaan INFORMATIKA Jurnal Publikasi Ilmu Komputer dan Multimedia Pandawa : Pusat Publikasi Hasil Pengabdian Masyarakat Journal of Technology Informatics and Engineering Seminar Nasional Teknologi dan Multidisiplin Ilmu Ardhi: Jurnal Pengabdian dalam Negri Jurnal Ilmiah Sistem Informasi Jurnal Riset Teknik Komputer Jurnal Riset Sistem Informasi Jurnal Padamu Negeri
Dendy Kurniawan
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Agriculture, Biological Sciences & Forestry Arts Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Mechanical Engineering Public Health Social Sciences Other

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Journal : Journal of Technology Informatics and Engineering

 1 
APPLICATION OF SOLAR ENERGY TO MEASURE PHOTOVOLTAIC CAPACITY AND BATTERY OPTIMIZATION Unang Achlison; Iman Saufik Suasana; Dendy Kurniawan
Journal of Technology Informatics and Engineering Vol 1 No 1 (2022): April: Journal of Technology Informatics and Engineering
Publisher : University of Science and Computer Technology

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/jtie.v1i1.145

Abstract

This study uses the Markov Decision Model (MDP) to implement battery degradation and optimize battery use in Photovoltaic and the battery system model created. The battery optimization scheme for home loads uses the application of solar energy to optimally measure photovoltaic and battery capacity against each other. The different qualities of the standard used in this study are described starting from system characteristics and charge settings to an analysis of MDP and battery degeneration. Various systems undergo a list of analyses to implement awareness reasoning although developing battery volume and photovoltaic for the current system. The parametric span of cosmic and battery central tariff, the tariff of power worn taken away the framework, tariff of battery degeneration, time of year, photovoltaic generator size, battery size, and Health Status (SoH) of batteries were carried out to determine the optimal volume estimate and analyze the trade-offs essential in a mix scheme. This is then used to treasure trove the minimum amount of fee of the scheme with photovoltaic and battery application. This study support decision of the essential sizing deliberation for photovoltaic and battery-managed home loads linked to the services grid. Insightful that the battery can be used more destructively, also it can be formed lower and run at a greater C speed. This study analyzes actual fog computing research tools and storage composition algorithms for fog computing and develops a fog computing monitoring framework to provide data for fog computing storage composition algorithms. The framework proposed in this study provides granular container virtual hardware resource information and black box monitoring of service layer information associated with microservices. Framework usefulness on Raspberry Pis and CPU overhead of framework tested. The results of this study present the framework proposed could be used on single-chip microcomputers with relatively inadequate computational performance. In addition, a minimal effect on the battery degeneration system on the MDP decision due to the low system C-rate limit for the battery and interesting behavior of total fee and demand is also found. For future research, testing different maximum C levels should be considered to determine the photovoltaic size and battery system affected. Various battery optimization systems can be proved to check the benefit and disbenefits in the microgrid system case study. Lastly, collecting a scheme for actual-time reproduction to know how nice the operation is performing is the next stage of implementing MDP for battery management and system development.
Indoor Air Monitoring and Filtration Using Arduino-Based Plasma Technology Adi Sofyan; Dendy Kurniawan
Journal of Technology Informatics and Engineering Vol 2 No 2 (2023): August : Journal of Technology Informatics and Engineering
Publisher : University of Science and Computer Technology

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/jtie.v2i2.167

Abstract

In public service offices in the government, special areas or rooms are provided for smoking. At the Kendal District Court Class 1B the smoking room or smoking area still uses air ventilation and fans to neutralize cigarette smoke. As a result, the smoke that is exposed to the fan in the smoking room spreads out and disturbs the health of the surrounding community or disrupts the activities of employees at the Kendal Class 1B District Court. In this case, the Kendal Class 1B District Court, especially this smoking area, needs to be handled, namely making a device that can filter cigarette smoke and monitor the condition or level of air quality in the room so that cigarette smoke does not spread outside the room and harm your health. To help the filtration system in smoking rooms, there needs to be an automatic system that is able to work when cigarette smoke in the room is at a certain level. The sensors used to detect levels of CO ( carbon monoxidant), CO2 (carbon dioxidant) in cigarette smoke are MQ-7 and MQ-135. The way this tool works, if cigarette smoke in the room reaches the threshold level of gas in the room, the fan will suck it into the filtration room, after which it will be exhaled back into the smoking room and will notify the condition of the room on the LCD monitor display.
APPLICATION OF SOLAR ENERGY TO MEASURE PHOTOVOLTAIC CAPACITY AND BATTERY OPTIMIZATION Unang Achlison; Iman Saufik Suasana; Dendy Kurniawan
Journal of Technology Informatics and Engineering Vol. 1 No. 1 (2022): April: Journal of Technology Informatics and Engineering
Publisher : University of Science and Computer Technology

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/jtie.v1i1.145

Abstract

This study uses the Markov Decision Model (MDP) to implement battery degradation and optimize battery use in Photovoltaic and the battery system model created. The battery optimization scheme for home loads uses the application of solar energy to optimally measure photovoltaic and battery capacity against each other. The different qualities of the standard used in this study are described starting from system characteristics and charge settings to an analysis of MDP and battery degeneration. Various systems undergo a list of analyses to implement awareness reasoning although developing battery volume and photovoltaic for the current system. The parametric span of cosmic and battery central tariff, the tariff of power worn taken away the framework, tariff of battery degeneration, time of year, photovoltaic generator size, battery size, and Health Status (SoH) of batteries were carried out to determine the optimal volume estimate and analyze the trade-offs essential in a mix scheme. This is then used to treasure trove the minimum amount of fee of the scheme with photovoltaic and battery application. This study support decision of the essential sizing deliberation for photovoltaic and battery-managed home loads linked to the services grid. Insightful that the battery can be used more destructively, also it can be formed lower and run at a greater C speed. This study analyzes actual fog computing research tools and storage composition algorithms for fog computing and develops a fog computing monitoring framework to provide data for fog computing storage composition algorithms. The framework proposed in this study provides granular container virtual hardware resource information and black box monitoring of service layer information associated with microservices. Framework usefulness on Raspberry Pis and CPU overhead of framework tested. The results of this study present the framework proposed could be used on single-chip microcomputers with relatively inadequate computational performance. In addition, a minimal effect on the battery degeneration system on the MDP decision due to the low system C-rate limit for the battery and interesting behavior of total fee and demand is also found. For future research, testing different maximum C levels should be considered to determine the photovoltaic size and battery system affected. Various battery optimization systems can be proved to check the benefit and disbenefits in the microgrid system case study. Lastly, collecting a scheme for actual-time reproduction to know how nice the operation is performing is the next stage of implementing MDP for battery management and system development.
Indoor Air Monitoring and Filtration Using Arduino-Based Plasma Technology Adi Sofyan; Dendy Kurniawan
Journal of Technology Informatics and Engineering Vol. 2 No. 2 (2023): August : Journal of Technology Informatics and Engineering
Publisher : University of Science and Computer Technology

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/jtie.v2i2.167

Abstract

In public service offices in the government, special areas or rooms are provided for smoking. At the Kendal District Court Class 1B the smoking room or smoking area still uses air ventilation and fans to neutralize cigarette smoke. As a result, the smoke that is exposed to the fan in the smoking room spreads out and disturbs the health of the surrounding community or disrupts the activities of employees at the Kendal Class 1B District Court. In this case, the Kendal Class 1B District Court, especially this smoking area, needs to be handled, namely making a device that can filter cigarette smoke and monitor the condition or level of air quality in the room so that cigarette smoke does not spread outside the room and harm your health. To help the filtration system in smoking rooms, there needs to be an automatic system that is able to work when cigarette smoke in the room is at a certain level. The sensors used to detect levels of CO ( carbon monoxidant), CO2 (carbon dioxidant) in cigarette smoke are MQ-7 and MQ-135. The way this tool works, if cigarette smoke in the room reaches the threshold level of gas in the room, the fan will suck it into the filtration room, after which it will be exhaled back into the smoking room and will notify the condition of the room on the LCD monitor display.
Co-Authors Abel Krisna Hogantara Adi Sofyan Aditya Galih Setyaji Ahmad Ashifuddin Aqham Ahmad Fauzi Ahmad Zaenudin Ainul Maftuchah Alivia Risma Dewi Safana Andi Dwi Pangestu Anisya Mardiyanti Anwar Anwar Bagus Sembodo Bagus Sudirman budi hartono Catur Wahyu Aji Siswoyo Danang Danang Didik Sofian Haryadi Dieta Wahyu Asry Eka Vidya Putra Eko Siswanto Haris Ihsanil Huda Iman Saufik Suasana Indra Ava Dianta Khilda Aulia Larasati Luvianti Anggreini M Munifah M Rifaldi Pratama Matin Akbar Ramadhan Mujiyono Mujiyono Nadya Yulia Sawitri Naufaludin Akbar Neilin Nikhlis Nur Faizin Nur Hidayatus Shofyan Octavian Endra Saputra Pamungkas, Seviana Putri Priyadi Priyadi Puteri Anindya Maulan Siswanto Siswanto Siswanto, Edy Sumaryanto Sumaryanto Sunarto Sunarto Taufik Kurnialensya Teguh Setiadi Toni Wijanarko Adi Putra Tri Novita Wahyuni Unang Achlison Yono Yono Yustian Ario Susanto