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All Journal Jurnal Dedikasi PROSIDING SEMINAR NASIONAL Transmisi: Jurnal Ilmiah Teknik Elektro ELKHA : Jurnal Teknik Elektro Jurnal Sains dan Teknologi Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI) Prosiding Seminar Nasional Sains Dan Teknologi Fakultas Teknik WARTA Emitor: Jurnal Teknik Elektro CIRCUIT: Jurnal Ilmiah Pendidikan Teknik Elektro Jurnal Komtika (Komputasi dan Informatika) Jurnal Litbang Sukowati : Media Penelitian dan Pengembangan Journal of Electrical Vocational Education and Technology Integrated Science Education Journal Urecol Journal. Part E: Engineering Prosiding University Research Colloquium Abdi Teknoyasa Jurnal Penelitian Teknologi Informasi dan Sains Jurnal Komtika (Komputasi dan Informatika)
Agus Ulinuha
Universitas Muhammadiyah Surakarta
Agriculture, Biological Sciences & Forestry Humanities Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mechanical Engineering Medicine & Pharmacology Public Health Social Sciences Other

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Journal : integrated science education journal

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Techno-economic Analysis of Investment and Operation of Photovoltaic Panels under a Load Sharing Scheme Yudhatama, Sandy; Ulinuha, Agus
Integrated Science Education Journal Vol 6 No 2 (2025): May
Publisher : Cahaya Ilmu Cendekia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37251/isej.v6i2.1676

Abstract

Purpose of the study: This study aims to evaluate the techno-economic feasibility of the operational period of a 40 kWp on-grid Photovoltaic Panel with a load sharing scheme at Ella Skincare, focusing on technical analysis, investment and operational costs, and the potential for electricity cost savings. Methodology: This study used a quantitative method by analyzing energy consumption data and electricity bills over 6 months before and 6 months after installing the Photovoltaic Panel. The system used 60 Vertex TSM-DE21 panels and a Solis S5-GC50K inverter. The data were processed to calculate the Net Present Value (NPV), Return on Investment (ROI), Levelized Cost of Electricity (LCOE), and Payback Period (PP). Main Findings: The research results showed a 33.9% reduction in PLN electricity power consumption and more than 30% savings in electricity costs each month after the installation of the Photovoltaic Panel. Although the NPV had not yet exceeded the initial investment, the ROI reached 13.64% in the first year, indicating significant financial potential in the long term. Novelty/Originality of this Research: This study provides empirical evidence on the effectiveness of the load sharing scheme in improving efficiency and reducing operational electricity costs in the commercial sector. This study offers new insights into the investment feasibility of Photovoltaic Panels in Indonesia, particularly in the context of utilizing renewable energy to reduce dependence on conventional energy sources.
Comparative Analysis of Sensor Reading Accuracy Between Arduino and ESP32 Microcontrollers for TDS Sensor Measurements Rahman, Abdul; Ulinuha, Agus
Integrated Science Education Journal Vol 7 No 2 (2026): March
Publisher : Cahaya Ilmu Cendekia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37251/isej.v7i2.2771

Abstract

Purpose of the study: This study aims to compare the performance of Arduino UNO and ESP32 microcontrollers in TDS sensor measurements, evaluating reading accuracy, response speed, and reading stability to recommend the most suitable microcontroller platform for water quality monitoring applications. Methodology: Tools & Hardware: TDS sensor, Arduino UNO (ATmega328P, 10-bit ADC), ESP32 NodeMCU (12-bit ADC), TDS meter (reference instrument). Methods: Waterfall methodology, literature review, direct observation, potentiometer testing, and voltage measurement. Water samples tested at 101, 201, 300, 406, and 515 PPM concentrations, each with three repetitions at room temperature (~20–21°C). Main Findings: Arduino UNO achieved average voltage errors of 0.21%–2.12% across all TDS concentrations, compared to ESP32's 13.1%–54.32%. ESP32 misread 101 PPM as 48 PPM (54.32% error). Arduino UNO's standard deviation was 0.064 ADC versus ESP32's 2.019 ADC 31.5 times more variable confirming Arduino UNO's superior accuracy and stability for TDS sensor measurements. Novelty/Originality of this study: This Arduino UNO achieved average voltage errors of 0.21%–2.12% across all TDS concentrations, compared to ESP32's 13.1%–54.32%. ESP32 misread 101 PPM as 48 PPM (54.32% error). Arduino UNO's standard deviation was 0.064 ADC versus ESP32's 2.019 ADC — 31.5 times more variable confirming Arduino UNO's superior accuracy and stability for TDS sensor measurements.
Techno-economic Analysis of Investment and Operation of Photovoltaic Panels under a Load Sharing Scheme Sandy Yudhatama; Agus Ulinuha
Integrated Science Education Journal Vol 6 No 2 (2025): May
Publisher : Cahaya Ilmu Cendekia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37251/isej.v6i2.1676

Abstract

Purpose of the study: This study aims to evaluate the techno-economic feasibility of the operational period of a 40 kWp on-grid Photovoltaic Panel with a load sharing scheme at Ella Skincare, focusing on technical analysis, investment and operational costs, and the potential for electricity cost savings. Methodology: This study used a quantitative method by analyzing energy consumption data and electricity bills over 6 months before and 6 months after installing the Photovoltaic Panel. The system used 60 Vertex TSM-DE21 panels and a Solis S5-GC50K inverter. The data were processed to calculate the Net Present Value (NPV), Return on Investment (ROI), Levelized Cost of Electricity (LCOE), and Payback Period (PP). Main Findings: The research results showed a 33.9% reduction in PLN electricity power consumption and more than 30% savings in electricity costs each month after the installation of the Photovoltaic Panel. Although the NPV had not yet exceeded the initial investment, the ROI reached 13.64% in the first year, indicating significant financial potential in the long term. Novelty/Originality of this Research: This study provides empirical evidence on the effectiveness of the load sharing scheme in improving efficiency and reducing operational electricity costs in the commercial sector. This study offers new insights into the investment feasibility of Photovoltaic Panels in Indonesia, particularly in the context of utilizing renewable energy to reduce dependence on conventional energy sources.
Comparative Analysis of Sensor Reading Accuracy Between Arduino and ESP32 Microcontrollers for TDS Sensor Measurements Abdul Rahman; Agus Ulinuha
Integrated Science Education Journal Vol 7 No 2 (2026): March
Publisher : Cahaya Ilmu Cendekia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37251/isej.v7i2.2771

Abstract

Purpose of the study: This study aims to compare the performance of Arduino UNO and ESP32 microcontrollers in TDS sensor measurements, evaluating reading accuracy, response speed, and reading stability to recommend the most suitable microcontroller platform for water quality monitoring applications. Methodology: Tools & Hardware: TDS sensor, Arduino UNO (ATmega328P, 10-bit ADC), ESP32 NodeMCU (12-bit ADC), TDS meter (reference instrument). Methods: Waterfall methodology, literature review, direct observation, potentiometer testing, and voltage measurement. Water samples tested at 101, 201, 300, 406, and 515 PPM concentrations, each with three repetitions at room temperature (~20–21°C). Main Findings: Arduino UNO achieved average voltage errors of 0.21%–2.12% across all TDS concentrations, compared to ESP32's 13.1%–54.32%. ESP32 misread 101 PPM as 48 PPM (54.32% error). Arduino UNO's standard deviation was 0.064 ADC versus ESP32's 2.019 ADC 31.5 times more variable confirming Arduino UNO's superior accuracy and stability for TDS sensor measurements. Novelty/Originality of this study: This Arduino UNO achieved average voltage errors of 0.21%–2.12% across all TDS concentrations, compared to ESP32's 13.1%–54.32%. ESP32 misread 101 PPM as 48 PPM (54.32% error). Arduino UNO's standard deviation was 0.064 ADC versus ESP32's 2.019 ADC — 31.5 times more variable confirming Arduino UNO's superior accuracy and stability for TDS sensor measurements.
Co-Authors A.A. Ketut Agung Cahyawan W Abdul Rahman Abdul Rahman Aditya, Agellio Farras Afdal Bintang Syahputra Agus Anggoro Sigit Agus Triyono Alfin Muhammad Nugroho Almas Ghulam Riza Andi Suhendi Andre Setyawan Azzam Reza Ahmad Mujahid Basith, Abdul Budiyono, Yusuf Dimas Septian Dwi Putra Eny Purwandari Fahri Ardianto Faisal Ardi Nugroho Faisal Ardi Nugroho Fathur Rohman Fathur Rohman, Fathur Hari Bangun Ibnu Shokhibul Khak Ibnu Shokhibul Khak Ibnu Shokibul Khak J Jatmiko Jatmiko Jatmiko Jatmiko, J Khak, Ibnu Shokhibul Khak, Ibnu Shokibul Kuswaji Dwi Priyono M. Burhanduin Ubaidillah M. Rusdi Wibowo Muchammad Ardan, Ramadhani Muhammad Afan Muhlasin Muhammad Alim Alfaridzi Muhammad Arif Muhammad ‘Alim Alfaridzi Muhammad ‘Alim Alfaridzi Muhlasin, Muhammad Afan Muhtadi - Nugroho, Faisal Ardi Nurul Rachmawati Prabawati, Ervie Sukma Pratama, Dendy Pratama, Dendy Pratama, Dendy Priyono Priyono Priyono Putra, Dimas Septian Dwi Putra, Tommi S. Rachmawati, Nurul Rizky Dian Wicaksana Sandy Yudhatama Santoso, Satria Adji Sidiq Permono Nugroho Siti Zubaidah Tommi S. Putra Umar Umar Hasan Wahyu Adi Widodo Wahyudi Wahyudi Wawan Kurniawan Wicaksana, Rizky Dian Widodo, Wahyu Adi Yudhatama, Sandy Yundari, Yundari Yusuf Budiyono Yusuf Budiyono