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All Journal Perfecting a Video Game with Game Metrics ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika
Rizky Ajie Aprilianto
Universitas Negeri Semarang
Computer Science & IT Electrical & Electronics Engineering Engineering

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Modified SEPIC Converter Performance for Grid-connected PV Systems under Various Conditions Rizky Ajie Aprilianto; Subiyanto Subiyanto; Tole Sutikno
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 16, No 6: December 2018
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v16i6.10148

Abstract

Step-up converter is widely used to increase DC voltage level on PV systems either off-grid or grid connected. One of the step-up converters often used in PV systems is SEPIC converter. To improve its performance, many SEPIC converters have been modified. However, performance on various conditions has not been further investigated. In this study, the modified SEPIC converter was investigated under various change conditions for grid-connected PV applications. This converter was modelled and simulated using PSIM software. The modified SEPIC converter received input from PV array 15 kWp, and its output was connected to the three-phase inverter with grid and load. The irradiance level and ambient temperature were varied to test its performance and compared to Boost converter and SEPIC converter. For all tests, the performance of modified SEPIC converter was better than other step-up converters because it was able to rectify the quality of output voltage and more efficient.
Sistem Diagnosis Penyakit Kerbau menggunakan Algoritma Forward Chaining MUHAMAD AKMAL DZAKWAN; SUBIYANTO SUBIYANTO; RIZKY AJIE APRILIANTO; MARIO NORMAN SYAH
Jurnal Elkomika Vol 12, No 1 (2024): ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektr
Publisher : Institut Teknologi Nasional, Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26760/elkomika.v12i1.231

Abstract

ABSTRAKKetergantungan peternak pada pakar atau dokter hewan karena terbatasnya pengetahuan dalam mengindentifikasi penyakit kerbau merupakan opsi yang sulit dan mahal. Dalam mengatasi hal tersebut, artikel ini menyajikan pengembangan sistem pakar diagnosis penyakit kerbau. Sistem ini diimplementasikan dalam bentuk web serta dirancang dengan mengumpulkan data tentang 17 jenis penyakit kerbau dan 49 gejala yang berkaitan. Proses diagnosis menggunakan kombinasi algoritma Forward Chaining dan Certainty Factor, yang memungkinkan sistem untuk mencocokkan gejala yang diamati dengan database penyakit kerbau menghasilkan diagnosis yang akurat. Hasil Pengujian sistem menunjukkan tingkat akurasi mencapai 100% dalam 15 kali pengujian berturut-turut. Hasil pengujian juga divalidasi oleh pakar spesialis kerbau. Kesimpulannya, sistem ini layak digunakan oleh peternak kerbau untuk mendiagnosis penyakit kerbau secara dini.Kata kunci: sistem pakar, penyakit pada kerbau, gejala, forward chaining, certainty factor ABSTRACTFarmers' reliance on experts or veterinarians due to limited knowledge in identifying buffalo diseases is a difficult and expensive option. To address the problem, this paper presents the development of an expert system for buffalo disease diagnosis. The system is implemented on the web and designed by collecting data on 17 buffalo disease types and 49 associated symptoms. The diagnosis process uses a combination of Forward Chaining and Certainty Factor algorithms, which allows the system to match observed symptoms with the buffalo disease database resulting in an accurate diagnosis. System testing results showed an accuracy rate of 100% in 15 consecutive tests. Results were also validated by buffalo specialist experts. In conclusion, the system is feasible to be used by buffalo farmers to diagnose buffalo diseases early.Keywords: expert system, buffalo diseases, symptoms, forward chaining, certainty factor
Co-Authors MARIO NORMAN SYAH MUHAMAD AKMAL DZAKWAN Tole Sutikno