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All Journal Mechatronics, Electrical Power, and Vehicular Technology JFA (Jurnal Fisika dan Aplikasinya) JOURNAL OF MECHANICAL ENGINEERING, MANUFACTURES, MATERIALS AND ENERGY Journal of Physics: Theories and Applications Syntax Literate: Jurnal Ilmiah Indonesia Journal of Renewable Energy and Mechanics Journal of Educational Chemistry (JEC) REKA ELKOMIKA: Jurnal Pengabdian kepada Masyarakat International Journal of Renewable Energy Development Journal of Mechatronics and Artificial Intelligence
Elysa Nensy Irawan
Universitas Pendidikan Indonesia
Humanities Automotive Engineering Chemistry Computer Science & IT Control & Systems Engineering Earth & Planetary Sciences Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mechanical Engineering Physics Social Sciences Other

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The Training of Making Graphical User Interface (GUI) Using Python for Teachers and Students of Engineering Vocational School in Purwakarta Diky Zakaria; Muhammad Husni Muttaqin; Galura Muhammad Suranegara; Elysa Nensy Irawan; Liptia Venica
REKA ELKOMIKA: Jurnal Pengabdian kepada Masyarakat Vol 3, No 3 (2022): REKA ELKOMIKA
Publisher : Institut Teknologi Nasional, Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26760/rekaelkomika.v3i3.152-159

Abstract

The purpose of this community service activity is to introduce the Python programming language to teachers and students of vocational school in Purwakarta exploiting an application to create a simple graphical user interface (GUI). Python is a programming language that is currently trending. The training was carried out in 3 stages, namely preparation, implementation and evaluation. As a result, participants were able to follow this training well and were able to create their own version of a simple GUI. Participants were also able to integrate their GUI with Arduino. After this activity, participants are expected to be able to explore how to make simple GUI using the modules that have been given.
Fabrication and Performance Analysis of AZO and MCCO as Thin Film-Thermoelectric Generator Materials Elysa Nensy Irawan; Fahrur Aslami; Aldo Mahendra Putra; Somporn Thaowankaew; Wanatchaporn Namhongsa; Athorn Vora-Ud; Kunchit Singsoog; Tosawat Seetawan4; Melania Suweni Muntini
JOURNAL OF MECHANICAL ENGINEERING MANUFACTURES MATERIALS AND ENERGY Vol. 6 No. 2 (2022): Edisi Desember 2022
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31289/jmemme.v6i2.7317

Abstract

The purpose of this research was to determine the performance of AZO and MCCO materials as constituents of the thin film-thermoelectric generator module. The method used for fabrication is DC Magnetron Sputtering. The electrode material used is Ag and the substrate used is SiO2 glass. The arrangement of the thin film used for the fabrication of the thermoelectric module is P-N-P-N-P-N-P-N-P-N (5 couples of p-n junctions). Based on the test results, the thickness of the thin film type N is 74.72 nm and type P is 90.34 nm. At the highest test temperature (300 oC), the AZO Seebeck coefficient value is -108 µV/K while the MCCO Seebeck coefficient value is 350 µV/K, and the AZO electrical resistivity value is 0.07 Ω.m while the MCCO electrical resistivity value is 0.36 Ω.m. The highest temperature difference given in the test of the AZO and MCCO thin film thermoelectric module is 1.538 °C and the thermoelectric module can produce a voltage of 1,842 ± 0.047 mV, a Seebeck coefficient of 4 µV/K, and an efficiency of 0.44%. Based on this research, it can be concluded that the performance of AZO and MCCO thin film-thermoelectric modules will have better performance at temperatures around 300 - 350 °C.
Analysis of Wind Power Potential in Samiang Bay, Kotabaru, South Kalimantan Fahrur Aslami; Elysa Nensy Irawan; Mohammad Muntaha; Suyatno; Mochamad Sahal
Journal of Renewable Energy and Mechanics Vol. 6 No. 01 (2023): REM VOL 6 NO 01 2023
Publisher : UIR PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25299/rem.2023.vol6.no01.10763

Abstract

This research was conducted to determine the potential for wind power from the Tamiang Bay area, Kotabaru, South Kalimantan. This study uses data on the average daily wind speed in Tamiang Bay with latitude -4.058883°, longitude 116.050259° obtained from the European Center for Medium-Range Weather Forecasts (ECMWF). Based on the analysis that has been done, the average daily wind speed in Tamiang Bay is 4 m/s for a height of 10 m and 5.98 m/s for a height of 50 m. Through the assumption that using a Gamesa G114-2.5 MW wind turbine with a tower height of 80 m, in one year, the Tamiang Bay area has the potential to produce 2646.58 MWh of wind power. Thus, the Tamiang Bay area is said to be very potential for wind power development.
Fabrication of p-type (MCCO) thin film using DC magnetron sputtering as a preparator for thermoelectric module Elysa Nensy Irawan; Fahrur Aslami; Muhammad Matthew Janotama; Aldo Mahendra Putra; Melania Suweni Muntini; Somporn Thaowankaew; Wanatchaporn Namhongsa; Athorn Vora-Ud; Kunchit Singsoog; Tosawat Seetawan
Journal of Physics: Theories and Applications Vol 7, No 1 (2023): Journal of Physics: Theories and Applications
Publisher : Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/jphystheor-appl.v7i1.66951

Abstract

Based on existing research, thermoelectric efficiency can be improved through material selection. In this study, the material used is CaCO₃ doped with Mn and Co₂O₃ to form CaCo3.5Mn0.5O9 material as a p-type thermoelectric material. The substrate used is glass. The stages in this research are material synthesis, sputtering process using DC Magnetron Sputtering machine to form thin films, and testing. The synthesis process includes grinding, calcination, and sintering. Grinding is done using a Ball Mill machine with a rotation speed of 250 rpm for 5 hours. Furthermore, the calcination step was carried out by heating the sample into a furnace at a temperature of 800°C for 10 hours. Then the sintering process was carried out at a temperature of 850°C for 12 hours. After the synthesis process is complete, enter the sputtering process using a DC Magnetron Sputtering machine for approximately 10 minutes. The gas used in this research is Argon (Ar). After the sputtering process was carried out, several tests appeared, such as the XRD test to determine the type of crystal, the ZEM-3 test to determine the Seebeck coefficient and resistivity, the thickness of the thin film formed, and the power factor test to determine the maximum voltage and power generated by the module formed. Several power factor test results were obtained, consisting of 107 μW/mK² at 100°C, 108 μW/mK² at 200°C, and 332 μW/mK² at 300°C and a thickness of 90.34 nm.
Studi Model Turbulensi pada Vertical Axis Water Turbine (VAWT) Menggunakan Metode Computational Fluid Dynamics (CFD) Elyas Nur Fridayana; Yoyok Setyo Hadiwidodo; Dendy Satrio; Elysa Nensy Irawan
Syntax Literate Jurnal Ilmiah Indonesia
Publisher : Syntax Corporation

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1595.944 KB) | DOI: 10.36418/syntax-literate.v7i6.8282

Abstract

Penentuan model turbulen memiliki peranan penting dalam proses simulasi computational fluid dynamics (CFD). Beberapa macam model turbulen berdasarkan viskositas eddy dipakai agar waktu komputasi lebih singkat. VAWT tipe Darrieus dengan profil NACA 633-18 digunakan dalam penelitian ini. Simulasi CFD 2-dimensi dengan ketelitian tinggi dilakukan secara transient menggunakan pertambahan sudut azimut sebesar 10. Komputasi dilakukan hingga beberapa kali revolusi sampai didapat perubahan koefisien daya (Cp) akhir kurang dari 5%. Nilai y+ kurang dari 1 diberikan pada daerah dekat trailing edge dipermukaan foil. Variasi model turbulen yang dibandingkan diaantaranya adalah Spalart-Allmaras (S-A), realizable k-ɛ, Shear Stress Transport (SST) k-ω dan transition SST k-ω. Kurva Cp-TSR seluruh variasi model turbulen memiliki perilaku yang mirip, kecuali SST k-ω. Matrik kesesuaian hasil simulasi CFD pada vertical axis turbine (VAWT) dipresentasikan dalam bentuk error relatif terhadap data eksperimental. Hasil simulasi menunjukkan bahwa realizable k-ɛ memberikan Cp yang paling akurat, sedangkan model turbulens Spalart-Allmaras memiliki eror paling besar. Penggunaan transition SST k-ω yang mampu memperhitungkan efek aliran transisi dan intermitensi turbulen memberikan akurasi baik namun kurang memuaskan pada TSR tinggi.
Analyzing the growth and trends of vertical axis wind turbine research: Insight from a bibliometric study Elysa Nensy Irawan; Nuur Wachid Abdul Majid; Liptia Venica; Fahrur Aslami; Goro Fujita
Journal of Mechatronics, Electrical Power, and Vehicular Technology Vol 14, No 1 (2023)
Publisher : National Research and Innovation Agency

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14203/j.mev.2023.v14.55-61

Abstract

Bibliometric analysis research has been done for vertical axis wind turbine (VAWT). This study aims to determine the growth of VAWT research, the number of VAWT studies in various countries and the most influential authors to find opportunities for research collaboration, and the challenges of future VAWT research. Research data was taken from Scopus in 1801 articles from 1970-2021. The software used for data interpretation was VosViewer 1.6.19 and Tableau Public 2022.2. Based on the analysis, VAWT research has tended to increase from 1970-2021, although there was a decrease from 1987-2006. The country that has conducted the most VAWT research is China, while the author with the highest number of citations is from Italy. The most dominant research topic related to VAWT research is computational fluid dynamics (CFD), which is 50.14 % of the total. A future challenge related to VAWT research is finding a suitable turbulence model for each type of VAWT or finding an airfoil optimization method so that a model with betterperformance is obtained. Opportunities for research collaboration can be carried out with China or an author with the highest number of citations who has expertise in the field of CFD.
Manufacturing of Soil Coefficient Permeability Meter with Data Acquisition System Based on Internet of Things (IoT) Fahrur Aslami; Elysa Nensy Irawan; Melania Suweni Muntini; Dwa Desa Warnana; Ahmad Syahdi Al Khawarizmi
Jurnal Fisika dan Aplikasinya Vol 19, No 2 (2023)
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat, LPPM-ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j24604682.v19i2.14045

Abstract

Soil permeability coefficient and measuring instrument using a data acquisition system based on Internet of Things (IoT) has been successfully made. The measuring equipment uses the falling head permeameter concept. MPX10GP sensor is used to measure water level. The measurement range is 6-40 cm water level, to obtain + 36 permeability coefficient value of each 1 cm. The data from the subsequent measurement systems is transmitted into the internet network so that it can be accessed by smartphone. Based on the measurement results of three samples, the slopes of Mount Ngantang have a soil permeability coefficient value of 0.0016 cm/s, the Institut Teknologi Sepuluh Nopember (ITS) pond embankment is 0.0005 cm/s, and the Bengawan Solo River embankment is 0.0002 cm/s. These results match with the reference and the difference value is only 2.7%. By using this research method, it is expected to draw up a map of the area that is prone to landslides quickly and accurately.
KIMI.AR Application for Easier and Interactive Chemistry Learning Irawan, Elysa Nensy; Salman, Fauzie; Putri, Aisyah Aira; Sakti, Rizky Hamdani; Mulya, Tri Seda; Venica, Liptia
Journal of Educational Chemistry (JEC) Vol 5, No 2 (2023)
Publisher : Chemistry Education Department

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21580/jec.2023.5.2.16077

Abstract

Chemistry is a crucial subject since it covers the structure and makeup of the world around us. However, chemistry is frequently cited as a subject that students dislike. Most secondary school pupils believe that chemistry is difficult, uninteresting, and unimportant. Therefore, an improvement in learning technic is needed. An application called KIMI.AR was created in this research. KIMI.AR is a learning media in the form of a mobile-based augmented reality application regarding elements and the formation of chemical reactions that are expected to solve high school students' problems in the chemistry learning process. What makes the KIMI.AR application better than other chemistry learning applications is the focus on the displayed material according to the user's level and displaying descriptions in addition to 3D visualization that students can access through their respective Android devices. So, through the KIMI.AR application, learning chemistry becomes easier and more interesting.
Smart watering of ornamental plants: exploring the potential of decision trees in precision agriculture based on IoT Pratama, Hafiyyan Putra; Hadi Putri, Dewi Indriati; Putri, Hafiziani Eka; Irawan, Elysa Nensy; Kautsar, Makna A’raaf
Journal of Mechatronics, Electrical Power, and Vehicular Technology Vol 15, No 1 (2024)
Publisher : National Research and Innovation Agency

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55981/j.mev.2024.963

Abstract

Ornamental plant farmers face various challenges due to climate change and environmental stress that significantly affect plant health and growth. This research overcomes these challenges by developing an intelligent watering system that uses internet of things (IoT) technology and decision trees (DTs) algorithms to optimize the use of planting land by ensuring plants grow in the most optimal conditions, both in terms of water and nutrients and increase land productivity. The system is built by integrating various sensors to monitor soil moisture, air humidity, temperature, and light intensity in real-time. The collected data is used to automate watering schedules and provide recommendations on suitable plant species based on the soil nutrient content of nitrogen (N), phosphorus (P), and potassium (K). The use of the DTs algorithm helps in analyzing the data from the sensors and providing recommendations on the most suitable plants for the land. The smart watering system was tested in three zones, each simulating a different watering scenario, and successfully maintained optimal conditions for plant growth in each zone. The machine learning (ML) model with the DTs algorithm can predict the right type of ornamental plants based on the existing land conditions in three watering zones, with an accuracy of 89 %, 90 %, and 91 %, respectively. Furthermore, farmers can follow these recommendations to minimize damage and death of plants so that the level of productivity on the land becomes optimal.
Unlocking the power of the wind: Innovations in smart hybrid vertical axis wind turbines Irawan, Elysa Nensy; Shibuya, Kai; Yamashita, Ken-Ichiro; Fujita, Goro
International Journal of Renewable Energy Development Vol 13, No 5 (2024): September 2024
Publisher : Center of Biomass & Renewable Energy (CBIORE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61435/ijred.2024.60354

Abstract

As global concerns about CO2 emissions grow, the development of green energy sources like wind power has become increasingly important. Two significant strengths of vertical-axis wind turbines relative to horizontal-axis models are their capacity to initiate rotation under minimal wind conditions and their versatility to operate effectively regardless of wind direction. This paper explores the innovation of smart hybrid vertical axis wind turbines, which combine drag and lift principles for enhanced performance with a focus on rotor switching mechanisms to optimize performance across varying wind conditions. The methodology involves experimental investigations using a small hybrid Savonius-Darrieus model, with 14cm height and 10cm diameter. The data indicates that the optimal rotor switching occurs at a tip speed ratio of 1.7. The turbine is designed to operate in hybrid mode at tip speed ratios below 1.7 and switch to single Darrieus mode at higher tip speed ratios. Performance evaluation metrics include tip speed ratio, moment coefficient, and power coefficient. Results indicate that the smart hybrid model exhibits superior performance compared to traditional hybrid and single Darrieus configurations. Through empirical studies and computational analysis, the Smart Hybrid model shows significant enhancements, with a 175% increase in initial torque compared to single Darrieus model and a 12.12% improvement in maximum power coefficient compared to traditional hybrid configurations.
Co-Authors Ahmad Syahdi Al Khawarizmi Aldo Mahendra Putra Aldo Mahendra Putra Athorn Vora-Ud Dendy Satrio Diky Zakaria Dwa Desa Warnana Elyas Nur Fridayana Fahrur Aslami Fujita, Goro Galura Muhammad Suranegara Goro Fujita Hadi Putri, Dewi Indriati Hafiziani Eka Putri, Hafiziani Eka Kai Shibuya Kautsar, Makna A’raaf Kunchit Singsoog Liptia Venica Mochamad Sahal Muhammad Husni Muttaqin Muhammad Matthew Janotama Mulya, Tri Seda Muntaha, Mohammad Muthmainnah, Melania Suweni Muntini Nguyen Hong Minh Giang Nuur Wachid Abdul Majid Pratama, Hafiyyan Putra Putri, Aisyah Aira Rizky Hamdani Sakti Sakti, Rizky Hamdani Salman, Fauzie Shibuya, Kai Somporn Thaowankaew Suyatno Tosawat Seetawan Tosawat Seetawan4 Wanatchaporn Namhongsa Yamashita, Ken-Ichiro Yoyok Setyo Hadiwidodo