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All Journal Transmisi: Jurnal Ilmiah Teknik Elektro Infotekmesin Journal of Electrical, Electronic, Information, and Communication Technology (JEEICT)
Nike Sartika
Jurusan Teknik Elektro, UIN Sunan Gunung Djati Bandung
Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Mechanical Engineering

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PERANCANGAN DAN SIMULASI SISTEM PEMBANGKIT LISTRIK TENAGA SURYA (PLTS) ATAP PADA MASJID JAMI' AL-MUHAJIRIN BEKASI Nike Sartika; Anisa Nur Rahmah Fajri; Lia Kamelia
Transmisi: Jurnal Ilmiah Teknik Elektro Vol 25, No 1 Januari (2023): TRANSMISI: Jurnal Ilmiah Teknik Elektro
Publisher : Departemen Teknik Elektro, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/transmisi.25.1.1-9

Abstract

Saat ini pemerintah sedang menggencarkan penggunaan energi terbarukan untuk mengurangi penggunaan energi fosil, salah satunya yaitu pemanfaatan energi surya sebagai pemasok listrik cadangan. Perkembangan PLTS di Indonesia kian waktu kian meningkat, hal ini dikarenakan Indonesia merupakan salah satu negara tropis yang memiliki potensi rata-rata energi surya yang cukup tinggi, yaitu sebesar 4,8 kWh/m2/hari. Penelitian ini merancang sebuah sistem PLTS on-grid pada atap Masjid Jami’ Al-Muhajirin menggunakan software PVSyst untuk mengetahui potensi, kelayakan dari segi ketenagalistrikan dan kelayakan dari aspek ekonomi. Sistem PLTS dengan kapasitas sebesar 8,2 kWp di atap Masjid Jami’ Al-Muhajirin menggunakan 4 variasi rancangan sistem PLTS. Variasi 1 menggunakan panel Polycrystalline 150 Wp. Variasi 2 menggunakan panel Polycrystalline 250 Wp. Variasi 3 menggunakan panel surya Monocrystalline 150 Wp. Variasi 4 menggunakan panel surya Monocystalline 250 Wp. Berdasarkan hasil rancangan dan simulasi menggunakan software PVSyst, yang paling layak diimplementasikan adalah sistem PLTS variasi 2 dengan produksi energi sebesar 12,31 MWh/tahun dan performance ratio sebesar 81,93%. Hasil analisis kelayakan investasi berdasarkan sudut pandang ekonomi dari keempat variasi menunjukan bahwa investasi yang paling layak untuk diimplementasikan yaitu sistem PLTS variasi 1 karena memiliki nilai NPV yang paling besar dan waktu pengembalian dana investasi awal yang paling cepat.
Power Transformer Loading Prediction Using Linear Regression as a Basis for Remaining Life Estimation Nike Sartika; Siti Anissa Nuramalia; Rin Rin Nurmalasari
Infotekmesin Vol 17 No 1 (2026): Infotekmesin: Januari 2026
Publisher : P3M Politeknik Negeri Cilacap

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35970/infotekmesin.v17i1.3087

Abstract

Power transformers are one of the important components in an electric power system that is expected to operate optimally. Along with its use, some factors cause the depreciation of the transformer’s life, such as loading factors and environmental temperature. This study aims to predict loading based on historical loading data using linear regression to determine the depreciation and estimated life of the transformer. The research was conducted on three transformers in locations with different environmental temperatures. The test results showed that the linear regression model had a high R-Squared validation value of 0.949 for Transformer#1, 0.948 for Transformer#2, and 0.945 for Transformer#3. Then the MAPE error value obtained for the three transformers was low, namely 2.99%, 1.76%, and 4.69%. The prediction results are used to calculate the estimated remaining life of the transformer, which shows that Transformer#1 is expected to have a lifespan of <1 year by 2029, Transformer #2 in 2026, and Transformer#3 in 2025. The results showed that the load and ambient temperature significantly affect the transformer's life loss.
Design and Implementation a Web-Based Semester Learning Plan Management Information System Nike Sartika; Yuda Sukmana; Iik Abdul Kholik; Agus Ramelan
Journal of Electrical, Electronic, Information, and Communication Technology Vol 5, No 1 (2023): JOURNAL OF ELECTRICAL, ELECTRONIC, INFORMATION, AND COMMUNICATION TECHNOLOGY
Publisher : Universitas Sebelas Maret (UNS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/jeeict.5.1.72003

Abstract

This research designs and implements an information system to manage web-based Semester Learning Plan using cloud computing technology, software, computers, and repositories as well as a serverless architecture. So far, the preparation of Semester Learning Plan in Department of Electrical Engineering UIN Sunan Gunung Djati Bandung is still done manually using a template in Microsoft Excel format. This method is considered ineffective because filling in takes a long time and the output is sometimes not uniform, both between lecturers and between courses. Based on this background, the author proposed the idea of creating a web-based Semester Learning Plan management information system. The method used to develop this system is the waterfall method which consists of five stages, namely requirements analysis, system and software design, implementation, testing, operation and maintenance. This information system using cloud computing technology and serverless architecture. The result of this research is a web-based Semester Learning Plan management information system. Through this system, lecturers no longer type manually into doc or xls format, but lecturers can directly input into the system or the web. The output is that the Semester Learning Plan can be downloaded and is in accordance with the applicable format and is in pdf format. The existence of this system can increase the effectiveness of lecturers in managing Semester Learning Plan.
Grammatical Error Correction (GEC) of Indonesian Text Based on Neural Machine Translation (NMT) Nike Sartika; Yuda Sukmana
Journal of Electrical, Electronic, Information, and Communication Technology Vol 5, No 2 (2023): JOURNAL OF ELECTRICAL, ELECTRONIC, INFORMATION, AND COMMUNICATION TECHNOLOGY
Publisher : Universitas Sebelas Maret (UNS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/jeeict.5.2.78837

Abstract

Writing errors in Indonesian are often found in various writings made in educational, government and mass media environments. The most dominant error is in spelling. This research proposes a Grammatical Error Correction (GEC) for Indonesian using the Neural Machine Translation (NMT) method, namely seq2seq, which is popularly used for English and has achieved the best performance approaching human capabilities. The model developed is made into a web-based service that is easy for users to access. The datasets used in this experiment are artificial datasets sourced from several studies regarding error analysis in Indonesian. The research results show that with the help of currently available open-source tools such as OpenNMT-py, it is possible to simplify the training process of NMT-based GEC models. Unfortunately, the small number of datasets leads to poor predictions for random sentences.
Analysis of Ciheras Beach Wind Potential for Minimal Pollutant Electrical Energy Generation Adi Nugraha; Agus Ramelan; Nike Sartika
Journal of Electrical, Electronic, Information, and Communication Technology Vol 5, No 2 (2023): JOURNAL OF ELECTRICAL, ELECTRONIC, INFORMATION, AND COMMUNICATION TECHNOLOGY
Publisher : Universitas Sebelas Maret (UNS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/jeeict.5.2.78883

Abstract

Pollutant is a serious problem today as the use of non-renewable energy sources is still a favorite, especially those sourced from coal and petroleum fuels. To anticipate dependence on coal-fired power plants, many studies have been conducted related to environmentally friendly power plants. One of the environmentally friendly power plants is wind power plants. Based on the criteria of wind turbines such as TSD-500, a wind speed of at least 3 m/s is required to start production. The purpose of this study is to find out how much potential clean energy is generated through wind energy generation on the coast of Ciheras. The research method in data collection used is qualitative descriptive. The results of the analysis found that the energy obtained from the process of converting wind energy into electrical energy can illuminate 9 houses, with each house consuming 70 Watts of power for 5 hours.
Co-Authors Adi Nugraha Agus Ramelan Anisa Nur Rahmah Fajri Iik Abdul Kholik lia kamelia Rin Rin Nurmalasari Siti Anissa Nuramalia Yuda Sukmana