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All Journal Sinkron : Jurnal dan Penelitian Teknik Informatika Jusikom: Jurnal Sistem Informasi Ilmu Komputer Jurnal Al Ulum: LPPM Universitas Al Washliyah Medan
Perangin-angin, Despaleri
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Agriculture, Biological Sciences & Forestry Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Industrial & Manufacturing Engineering Mechanical Engineering

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ANALISIS SISTEM TRANSFER DAYA FOTOVOLTAIK NIRKABEL UNTUK SISTEM PENGISIAN BATERAI Karo-Karo, Muhamad Azlin; Perangin-angin, Despaleri; Irwanto, Muhammad; Nainggolan, Winner Parluhutan; Gultom, Togar Timoteus; Balatif, Muhammad Iqbal; Zebua, Tenuman
Jurnal Al Ulum LPPM Universitas Al Washliyah Medan Vol. 12 No. 2 (2024): Jurnal Al Ulum: LPPM Universitas Al Washliyah Medan
Publisher : UNIVERSITAS AL WASHLIYAH (UNIVA) MEDAN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47662/alulum.v12i2.672

Abstract

Transfer daya nirkabel (WPT) adalah sebuah konsep untuk mentransfer daya listrik dari kumparan pengirim ke kumparan penerima tanpa kawat. Para peneliti sebelumnya telah mempelajari tentang WPT menggunakan implementasinya dalam pemodelan simulasi, tetapi itu sedikit pendukung yang berhubungan dengan matematika perumusan, terutama dalam jarak antara pengiriman dan kumparan penerima. Makalah ini menyajikan pemodelan simulasi Sistem WPT menggunakan MATLAB SIMULINK berdasarkan formulasi matematis yang berkaitan dengan induktansi induktor dari koil pengirim dan penerima, putar nomor koil dan induktansi timbal balik sebagai wakil dari jarak antara kumparan pengirim dan penerima. Hasil simulasi menunjukkan bahwa gelombang pulsa 5 kHz dihasilkan oleh generator pulsa menggerakkan terminal gerbang MOSFET yang mengubah DC menjadi tegangan AC 5 kHz pada koil pengirim menjadi setengahnya rangkaian inverter jembatan. Koil pengirim menghasilkan AC rms-nya tegangan 837,92 V untuk jarak 10 m dan juga AC tegangan diinduksikan pada kumparan penerima dengan tegangan rms nya, arus dan daya adalah 8,22 V, 14,17 A.
PEMODELAN PENINGKATAN EFESIENSI FOTOVOLTAIK NIRKABEL DAYA MENGGUNAKAN RELAY MAGNETIK Zebua, Tenuman; Perangin-angin, Despaleri; Irwanto, Muhammad; Gultom, Togar Timoteus; Nainggolan, Winner Parluhutan; Balatif, Muhammad Iqbal; Karo-karo, Muhamad Azlin
Jurnal Al Ulum LPPM Universitas Al Washliyah Medan Vol. 12 No. 2 (2024): Jurnal Al Ulum: LPPM Universitas Al Washliyah Medan
Publisher : UNIVERSITAS AL WASHLIYAH (UNIVA) MEDAN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47662/alulum.v12i2.673

Abstract

Penelitian ini bertujuan untuk menganalisis sistem Photovoltaic Wireless Power Transfer (PVWPT) yang menggunakan relay magnetik sebagai bagian dari sistem distribusi energi nirkabel. Metode yang digunakan melibatkan pemodelan matematis dari sistem PVWPT, termasuk koil pemancar dan penerima dengan mutual inductance, serta penggunaan relay magnetik untuk mengontrol aliran energi. Pada tahap awal, dilakukan pemodelan matematis dari koil pemancar dan penerima dengan mempertimbangkan prinsip mutual inductance untuk menghasilkan arus listrik yang diperlukan untuk transfer energi nirkabel. Selanjutnya, relay magnetik diintegrasikan ke dalam model untuk mengatur aliran energi antara koil pemancar dan penerima berdasarkan sinyal kontrol yang diterima serta juga mempertimbangkan faktor-faktor seperti efisiensi transfer energi, respons terhadap situasi darurat, dan keandalan sistem dalam pemodelan dan analisisnya. Hasil penelitian menunjukkan bahwa penggunaan relay magnetik dalam sistem PVWPT dapat meningkatkan efisiensi dan keamanan transfer energi nirkabel, sambil memberikan kontrol yang lebih baik atas aliran energi dalam berbagai situasi operasional. Kesimpulannya, penggunaan relay magnetik dalam sistem PVWPT merupakan pendekatan yang menjanjikan untuk mentransfer energi nirkabel secara efisien dan andal, dengan potensi untuk diterapkan dalam berbagai aplikasi di bidang energi terbarukan dan teknologi nirkabel.
Implementation of Recommendation Systems in Determining Learning Strategies Using the Naïve Bayes Classifier Algorithm Saleh, Amir; Dharshinni, NP; Perangin-Angin, Despaleri; Azmi, Fadhillah; Sarif, Muhammad Irfan
Sinkron : jurnal dan penelitian teknik informatika Vol. 7 No. 1 (2023): Articles Research Volume 7 Issue 1, 2023
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v8i1.11954

Abstract

Recommendation systems are widely used in various fields of life to provide suggestions for a product, service, or piece of information to someone where there is an object to choose from. The recommendation system can also be applied in the field of education, especially in improving the quality of learning that occurs in schools. In this study, developing and implementing a recommendation system was used to determine the learning strategy applied in class. The system is very necessary in order to obtain effective and efficient learning in accordance with the desired learning style of students. In addition, learning that leads to students' desire to learn can make it easier for teachers to achieve predetermined learning goals. In this study, collaborative filtering techniques based on the Naive Bayes algorithm were used to determine the learning strategy. Before carrying out the recommendation process, datasets will be collected first, which are obtained from student responses through the questionnaires provided. This data will be used as training data to obtain recommendations on learning strategies that will be applied by the teacher in the classroom. After the training data is collected, the teacher will provide a response, and the results obtained will be used as testing data. From the results of implementing a recommendation system that has been built using the Naïve Bayes algorithm, the accuracy obtained is 90.91% in determining learning strategies that are appropriate to student learning styles.
IMPLEMENTATION OF SMART IRRIGATION SYSTEM ON CARROT PLANTATION USING INTERNET OF THINGS Perangin-Angin, Despaleri; -, Yoga Tri Nugraha; -, Evta Indra; Turnip, Mardi; Situmorang, Andreas; Sitompul, Daniel Ryan Hamonangan; -, Ruben
Jurnal Sistem Informasi dan Ilmu Komputer Vol. 5 No. 2 (2022): JURNAL SISTEM INFROMASI DAN ILMU KOMPUTER PRIMA (JUSIKOMP)
Publisher : Fakultas Teknologi dan Ilmu Komputer Universitas Prima Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34012/jurnalsisteminformasidanilmukomputer.v5i2.2347

Abstract

Agriculture is one of the main sectors in Karo Regency, North Sumatra. One of the commodities produced by farmers in Karo Regency is carrot. The inability of farmers to control soil moisture may cause crop damage to a lack of productivity. This research aims to create a monitoring & control system that is integrated with the website to make it easier for farmers to prevent problems that occur. The method used in the research is the design, installation, monitoring, and deactivation. The results obtained from this research are that farmers can now monitor the field conditions in real-time using a web-based monitoring & control system.
SHORT-TERM FORECAST FOR THE GROWTH OF INDONESIA'S NEW RENEWABLE ENERGY USING THE ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM Ginting, Riski Titian; Tri Nugraha, Yoga; Perangin-Angin, Despaleri; Gultom, Togar Timoteus; Nainggolan, Winner Parluhutan; Sitanggang, Delima
Jurnal Sistem Informasi dan Ilmu Komputer Vol. 6 No. 2 (2023): JURNAL SISTEM INFROMASI DAN ILMU KOMPUTER PRIMA (JUSIKOMP)
Publisher : Fakultas Teknologi dan Ilmu Komputer Universitas Prima Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34012/jurnalsisteminformasidanilmukomputer.v6i2.3477

Abstract

Electric power plants always use fossil fuels such as coal, oil, etc. However, the fossil fuel supply in Indonesia is decreasing from year to year. This causes power plants to be powered by using fuels that will not run out, such as solar Energy, water, wind, and others. Solar Energy, water, wind, and others are Alternative Energy or can also be called New and Renewable Energy. To guarantee a power plant powered by alternative Energy, it must be analyzed regarding the growth of new and renewable Energy. The method used in analyzing the development of new and renewable Energy is the Adaptive Neuro Fuzzy Inference System Method. MW or 0.599%. This result has increased yearly in Indonesia's new and renewable energy growth.
Co-Authors -, Evta Indra -, Ruben Amir Saleh Balatif, Muhammad Iqbal Delima Sitanggang, Delima Dharshinni, NP Fadhillah Azmi, Fadhillah Ginting, Riski Titian Irwanto, Muhammad Karo-Karo, Muhamad Azlin Mardi Turnip, Mardi Nainggolan, Winner Parluhutan Sarif, Muhammad Irfan Sitompul, Daniel Ryan Hamonangan Situmorang, Andreas Togar Timoteus Gultom Yoga Tri Nugraha Zebua, Tenuman