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All Journal International Journal of Power Electronics and Drive Systems (IJPEDS) Mechatronics, Electrical Power, and Vehicular Technology Jurnal Ketahanan Nasional Sinergi JOURNAL OF MECHANICAL ENGINEERING, MANUFACTURES, MATERIALS AND ENERGY VOX EDUKASI: Jurnal Ilmiah Ilmu Pendidikan Journal of Renewable Energy, Electrical, and Computer Engineering Jurnal Informatika Teknologi dan Sains (Jinteks) Heca Journal of Applied Sciences Leuser Journal of Environmental Studies Journal of Educational Management and Learning Grimsa Journal of Science Engineering and Technology Jurnal Sains & Teknologi Fakultas Teknik Universitas Darma Persada
Erkata Yandri
Universitas Darma Persada
Agriculture, Biological Sciences & Forestry Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Earth & Planetary Sciences Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Mathematics Mechanical Engineering Medicine & Pharmacology Physics Other

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Joule heating estimation of photovoltaic module through cells temperature measurement Erkata Yandri; Naoto Hagino
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 13, No 2: June 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v13.i2.pp1119-1128

Abstract

Module temperature has a role in determining a PV module's performance. The purpose of this paper is to estimate the Joule heating in a photovoltaic (PV) module by comparing during PV-On (electricity generation) and PV-Off (without electricity generation). Joule heating was less evaluated due to simplifying formulation, which is easier to implement in experimental observation as proposed in this work. The experiment collected the temperature distributions of the PV module during PV-On and PV-Off. PV module temperature distribution follows the normal distribution curve as the irradiation uniformity pattern of the solar simulator has a slight ≤0.3 oC difference between PV-On and PV-Off. Joule heating slightly increased the PV module temperature by 0.53 K/A, proportional to the irradiances. Joule heating has increased almost seven times from 2.65 W at 700 W/m2 to 18.07 W at 1000 W/m2. Joule heating might slightly increase the overall thermal conductivity and slightly decrease the thermal resistances. It might affect the heat transfer. This research may improve the procedures prediction of PV or photovoltaic-thermal (PVT) collector temperature by considering Joule heating.
Meningkatkan Keamanan Energi Melalui Perincian Indikator Energi Terbarukan dan Efisiensi Guna Membangun Ketahanan Nasional Dari Daerah Erkata Yandri; Ratna Ariati; Riki Firmandha Ibrahim
Jurnal Ketahanan Nasional Vol 24, No 2 (2018)
Publisher : Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/jkn.30999

Abstract

ABSTRACT The purpose of this paper was to discussed how to developed the concept of Indonesia's energy security model with of Renewable Energy (RE) and Energy Efficiency (EE) programs. To did this, there were four important concepts must be completed: reconceptualized the Indonesia's energy security model; explained the energy security (ES) relationship with the details of the indicator; explained the potential of ET and EE in each sector; explained the role of local government in exploiting the potential of ET and EE.As an archipelago country  divided into several regions, in order to get accurate prediction, our result showed  that development Indonesian energy security models needed to be developed properly with more detailed indicators of RE and EE. To pursued the goal of national energy policy, the potential of RE and EE in each province should be utilized immediately, the role of local government was very important. The concept of detailed RE and EE indicators would create a contribution for local governments in realizing national energy security.ABSTRAKTujuan dari penulisan ini adalah untuk membahas bagaimana mengembangkan konsep model keamanan energi Indonesia dengan program Energi Terbarukan (ET) dan Efisiensi Energi (EE).Untuk melakukan ini, ada empat konsep penting yang harus diselesaikan: mengkonsepkan kembali model keamanan energi Indonesia; menjelaskan hubungan kemananan energi (ES) dengan perincian indikator; menjelaskan potensi ET dan EE di masing-masing sektor; menjelaskan peran pemerintah daerah dalam memanfaatkan potensi ET dan EE.Sebagai negara kepulauan yang terbagi menjadi beberapa provinsi,  analisis menunjukkan bahwa model keamanan energi Indonesia perlu dikembangkan dengan indikator ET dan EE yang lebih rinci. Untuk mengejar tujuan kebijakan energi nasional, potensi ET dan EE di setiap provinsi harus segera dimanfaatkan, maka peran pemerintah daerah sangat penting. Konsep model indikator ET dan EE yang terperinci ini akan merupakan kontribusi bagi pemerintah daerah dalam mewujudkan keamanan energi nasional.
Proposed model and strategy for Indonesian higher education facing technological disruption and Industrial Revolution 4.0 using Newton's Laws analogy Erkata Yandri; Sparisoma Viridi; Rizal F. Hariadi
SINERGI Vol 27, No 3 (2023)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/sinergi.2023.3.009

Abstract

All economic sectors in the world cannot be separated from the challenges of facing an era of technological disruption and the Industrial Revolution 4.0 (TD4IR). As centers of higher education, campuses also cannot escape from this difficult situation. Many studies have discussed the impact of TD4IR on higher education, unfortunately, without a detailed strategy for dealing with it. The global issues were analyzed using a physical approach, such as Newton's laws. Our study's purpose is to evaluate a strategic principle that Indonesian colleges can use to prepare for TD4IR. We applied Newton's analogy system to strategic management, then modeled with the derivation of the formula, followed by modeling with the simulation, to determine the changes that higher education would need to make in response to Industrial Revolution 4.0. Acceleration and deceleration scenarios are implemented with a square or cube increase or reduction. From the modeling, the parameters of Newton's laws, such as mass, friction (barriers to change), force (internal assets as a driving force), etc., must be properly matched to the idea of strategic management of higher education to give a clear picture of the problems. From the simulation, higher education needs to know the minimum value of its organizational system so it can figure out what needs to be done right away. The organization doesn't suddenly slow down or stop; higher education needs to speed up as much as possible.
SISTEM PENCAHAYAAN DALAM OPERASI PERTAMBANGAN Syukri M. Nur; Kukuh Priyo Pramono; Erkata Yandri
Jurnal Informatika Teknologi dan Sains (Jinteks) Vol 6 No 2 (2024): EDISI 20
Publisher : Program Studi Informatika Universitas Teknologi Sumbawa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51401/jinteks.v6i2.4002

Abstract

Penambangan sumber daya alam merupakan kegiatan vital untuk keberlanjutan peradaban manusia, memerlukan penerangan yang efisien baik siang maupun malam, di tambang terbuka maupun bawah tanah. Penelitian ini bertujuan melakukan studi kepustakaan tentang pencahayaan di pertambangan, merinci penelitian sebelumnya, dan mengevaluasi potensi pengembangan di masa mendatang. Fokusnya mencakup sistem penerangan dari aspek metode penambangan, sumber energi, teknologi, desain, hingga biaya. Dalam konteks transisi energi ke sumber terbarukan, penelitian menyoroti peluang pemanfaatan energi terbarukan di sekitar tambang. Indonesia, sebagai salah satu produsen batubara terkemuka, masih minim penelitian terkait sistem penerangan tambang. Oleh karena itu, penelitian ini memberikan peluang untuk mengoptimalkan penggunaan energi terbarukan dalam sistem penerangan tambang, dengan biaya minimal yang tetap memenuhi standar penerangan. Tinjauan ini diharapkan dapat menjadi landasan untuk penelitian lebih lanjut yang lebih efektif dan efisien di Indonesia, mengingat perbedaan geografis dan kondisi cuaca yang menjadi karakteristik unik di negara ini.
Cultivating Energy Conscious Communities: The Path to Increased Efficiency Lodewijk, Dewi Putriani Yogosara; Yandri, Erkata; Murdiyansah, Novan; Ariati, Ratna
Heca Journal of Applied Sciences Vol. 2 No. 1 (2024): March 2024
Publisher : Heca Sentra Analitika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60084/hjas.v2i1.157

Abstract

This research addresses the critical need for increased energy efficiency in communities, emphasizing the pivotal role of community involvement and awareness. With the growing concern for sustainable energy practices, empowering communities to contribute to energy efficiency initiatives is imperative. Thus, the research aims to investigate and understand the role of community empowerment in increasing energy efficiency through community role and awareness. The theory applied to the research is the theory of planned behavior. A descriptive quantitative approach is employed, utilizing a structured questionnaire based on the Likert scale. Then, after the questionnaires were collected, statistical data processing was carried out using the T-test, F-test, and validity and reliability tests. The questionnaire gauges participants' perceptions and behaviors about energy efficiency, enabling a comprehensive analysis of the community's role and awareness in promoting sustainable energy practices. Preliminary findings indicate a positive correlation between community empowerment, heightened awareness, and increased energy efficiency. The Likert scale responses provide valuable insights into the areas where communities excel and areas that require targeted interventions. The data also reveal notable patterns in community behaviors and perceptions of energy consumption and conservation. In conclusion, the research underscores the significance of community empowerment as a catalyst for enhancing energy efficiency. The findings suggest that fostering community awareness and active involvement can lead to tangible improvements in sustainable energy practices. This study contributes valuable insights for policymakers, community leaders, and energy advocates seeking effective strategies to address the global energy challenge through localized, community-driven initiatives.
Predictive Maintenance with Machine Learning: A Comparative Analysis of Wind Turbines and PV Power Plants Uhanto, Uhanto; Yandri, Erkata; Hilmi, Erik; Saiful, Rifki; Hamja, Nasrullah
Heca Journal of Applied Sciences Vol. 2 No. 2 (2024): September 2024
Publisher : Heca Sentra Analitika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60084/hjas.v2i2.219

Abstract

The transition to renewable energy requires innovations in new renewable energy sources, such as wind turbines and photovoltaic (PV) systems. Challenges arise in ensuring efficient and reliable performance in their operation and maintenance. Predictive maintenance using machine learning (PdM-ML) is relevant for addressing these challenges by enhancing failure predictions and reducing downtime. This study examines the effectiveness of PdM-ML in wind turbine and PV systems by analyzing operational data, performing data preprocessing, and developing machine learning models for each system. The results indicate that the model for wind turbines can predict failures in critical components such as gearboxes and blades with high accuracy. In contrast, the model for PV systems is effective in predicting efficiency declines in inverters and solar panels. Regarding operational complexity, each model has advantages and disadvantages of its own, but when compared to conventional maintenance techniques, both provide lower costs with greater operational efficiency. In conclusion, machine learning-based predictive maintenance is a promising solution for enhancing the reliability and efficiency of renewable energy systems.
Potential for Electrical Energy Savings in AC Systems by Utilizing Exhaust Heat from Outdoor Unit Hamja, Nasrullah; Yandri, Erkata; Hilmi, Erik; Uhanto, Uhanto; Saiful, Rifki
Heca Journal of Applied Sciences Vol. 2 No. 2 (2024): September 2024
Publisher : Heca Sentra Analitika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60084/hjas.v2i2.223

Abstract

This study explores the potential of utilizing waste heat from air conditioning systems, one of the largest consumers of electrical energy. Currently, most of the waste heat generated by outdoor units is typically released into the environment without being utilized, leading to missed energy-saving opportunities. This study analyzes the potential for improving electrical energy efficiency in air conditioning (AC) systems by harnessing this waste heat. Two primary approaches are evaluated: the first is the use of waste heat for domestic water heating, and the second is the conversion of heat into electrical energy using thermoelectric generators (TEG). The results of this research indicate that both methods have the potential to improve overall energy efficiency significantly. However, challenges related to conversion efficiency and integration of these technologies with AC systems require further, more specific studies. These findings are expected to contribute to more efficient and environmentally friendly cooling systems by optimizing technology and overcoming barriers to wider implementation.
STRATEGI RANCANGAN DAN PRODUK PEMBELAJARAN MIKRO BUKU DIGITAL (MICROLEARNING EBOOK) UNTUK PENDIDIKAN MAGISTER ENERGI TERBARUKAN Viendyasari, Mila; Nur, Syukri M; Yandri, Erkata; Uyun, Aep Saepul
VOX EDUKASI: Jurnal Ilmiah Ilmu Pendidikan Vol 14, No 2 (2023): NOPEMBER
Publisher : STKIP Persada Khatulistiwa Sintang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31932/ve.v14i2.2423

Abstract

ABSTRAKMicrolearning merupakan metode pembelajaran mikro yang berupaya menyampaikan pengetahuan atau bidang ilmu secara parsial kepada mahasiswa dan publik. Metode ini dikaji dan diadaptasikan pada proses pendidikan mahasiswa pascasarjana teknik energi terbarukan. Tujuan riset adalah perancangan alur kerja dan penyusunan materi kuliah dengan metode microlearning. Metode riset dilaksanakan melalui tinjauan pustaka dan penerapan rencana pembelajaran semester yang menjadi panduan belajar di perguruan tinggi. Alur kerja penyusunan microlearning telah diterapkan untuk mata kuliah konversi energi biomassa dan angin, kemudian menghasilkan tiga produk ebook dan memilik legalitas berupa ISBN dan hak cipta. Pengembangan alur kerja dan produk microlearning perlu dilakukan untuk mata kuliah lainnya, termasuk evaluasi kinerja metode ini berdasarkan respon penggunanya yaitu mahasiswa.Kata Kunci: Microlearning, Covid-19, renewable energy, distance learning, mobile learningABSTRACTMicrolearning is a micro learning method that seeks to partially convey knowledge or fields of knowledge to students and the general public. This method is studied and adapted to the educational process of students who apply renewable energy techniques. The aim of the research is to design workflows and prepare course materials using the microlearning method. The research method is carried out through literature reflection and the implementation of semester learning plans which become learning guides in tertiary institutions. The microlearning workflow has been implemented for the biomass and wind energy conversion courses, then produces three ebook products and has legality in the form of ISBN and copyright. Developing workflows and microlearning products needs to be done for other courses, including evaluating the performance of this method based on user responses, namely students.Keywords; Microlearning, Covid-19, renewable energy, distance learning, mobile learning 
Design Concept of Information Control Systems for Green Manufacturing Industries with IoT-Based Energy Efficiency and Productivity Yandri, Erkata; Idroes, Rinaldi; Maulana, Aga; Zahriah, Zahriah
Leuser Journal of Environmental Studies Vol. 1 No. 1 (2023): July 2023
Publisher : Heca Sentra Analitika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60084/ljes.v1i1.36

Abstract

In today's and future industrial competition, IoT and the Fourth Industrial Revolution are unavoidable. Indonesia must be prepared to compete globally in an increasingly efficient and integrated industry, including efficient energy use and renewable energy. This issue has received little strategic and scientific thought, particularly in Indonesia. This study purposes to create a conceptual model of an information control system in the industry, which will include operational performance. The method involves four steps. Firstly, the process flow within the industry is comprehensively analyzed, including the input, process, and output (IPO) aspects. Secondly, all information pertaining to each production process is integrated into the information system. Thirdly, a management control system (MCS) is proposed, incorporating key performance indicators (KPIs), allowing real-time monitoring by management. Lastly, real-time information data on resource sharing is submitted to the information sharing control system within similar industrial clusters. This enables related business parties to optimize their resource utilization based on the provided information. The results show that green manufacturing can be initiated by controlling energy-saving and productivity-related KPIs. The concept of IoT green manufacturing depends on active involvement from the government, industry and the public. A crucial aspect of this system is how the industry effectively manages production performance through shop floor control (SFC).
Utilization of Drone with Thermal Camera in Mapping Digital Elevation Model for Ie Seu'um Geothermal Manifestation Exploration Security Bahri, Ridzky Aulia; Noviandy, Teuku Rizky; Suhendra, Rivansyah; Idroes, Ghazi Mauer; Yanis, Muhammad; Yandri, Erkata; Nizamuddin, Nizamuddin; Irvanizam, Irvanizam
Leuser Journal of Environmental Studies Vol. 1 No. 1 (2023): July 2023
Publisher : Heca Sentra Analitika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60084/ljes.v1i1.40

Abstract

Geothermal energy is a viable alternative energy source, particularly in Indonesia. This study was conducted at Ie Seu’um, Mount Seulawah Agam, which is a potential site for a geothermal power plant with an estimated electrical output of 150 megawatts. The objective of this study was to analyze and construct a digital elevation model (DEM) map of the geothermal manifestations. We analyzed water temperature, FLIR (Forward Looking Infrared) temperature, and temperature data from Landsat 8 satellite imagery. To map the heat signature of geothermal features, we utilized the DJI Phantom 4 Standard equipped with the FLIR One Gen 2 sensor. Additionally, we used the Milwaukee Mi306 to calculate the water temperature. Each test was conducted three times to obtain an optimal average level of accuracy. The DEM map was created to assess the level of safety in geothermal manifestation exploration. Elevation and slope values were analyzed to generate a 3D map display, providing a clearer image of the research site. In conclusion, drones prove to be an excellent method for ensuring the safety of exploration in geothermal manifestation areas.
Co-Authors Aep Saepul Uyun Amaral, Clizardo Ariati, Ratna Aryati, Ratna Bahri, Ridzky Aulia Bangun Novianto Candra, Arief Faizin, Muhammad Ihsan Nur Fitriani Fitriani Gede Arya Rachman Ghazi Mauer Idroes Hamja, Nasrullah Heriyanto, Hernawan Hilmi, Erik Ibrahim, Riki Firmandha Irvanizam, Irvanizam Isandono, Hafit Kukuh Priyo Pramono Lala, Andi Lodewijk, Dewi Putriani Yogosara Ludji, Omrie Maria Paristiowati Maulana, Aga Mohamed Yusof, Nur Intan Saidaah Muhammad Syukri Nur Muhammad Yanis Muhammad Yusuf Murdiyansah, Novan Murdiyansyah, Novan Naoto Hagino Nizamuddin Nizamuddin Pramono, Kukuh Priyo Ratna Ariati Ratna Ariati Rifki Saiful Riki Firmandha Ibrahim Rinaldi Idroes Riyanto, Andry Rizal F. Hariadi Saiful, Rifki Sasmita, Novi Reandy Satrio, Justinus Sidharta, Rendy Sihombing, Very Sparisoma Viridi Suhendra, Rivansyah Teuku Rizky Noviandy Timba, Ayub Tirta, Andy Uhanto, Uhanto Utami, Mei Budi Viendyasari, Mila Zahriah, Zahriah Zulkarnain Jalil