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All Journal Jurnal Sistem Informasi, Teknik Informatika dan Teknologi Pendidikan (JUSTIKPEN) Jurnal: International Journal of Engineering and Computer Science Applications (IJECSA)
Aulia Rahman, Nouval
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Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Engineering Mechanical Engineering Social Sciences Other

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Optimization of Renewable Energy From Solar Panels For Environmental Monitoring Using Arduino Sugianta Nirawana, I Wayan; Romisa, Fahmi; Karang Komala Putra, I Gede; Aulia Rahman, Nouval; Rahmadani Fitria, Ayisa
International Journal of Engineering and Computer Science Applications (IJECSA) Vol. 4 No. 1 (2025): March 2025
Publisher : Universitas Bumigora Mataram-Lombok

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/ijecsa.v4i1.4828

Abstract

Renewable energy is an alternative energy in the midst of the issue of fossil-based energy running out. One of these alternative energies is solar panels that generate electricity to achieve environmentally friendly energy. The problem researched in this study is the need to optimize or energy efficiency of solar panels. The type of research is development research with a prototype model. The purpose of this study is to optimize the efficiency of the solar panel tracking system equipped with artificial intelligence and sensors to monitor the environment based on the internet of things. This research method is an integration of fuzzy logic internet of things for tracking solar panels based on light sensor input. The use of solar panels using polycrystalline types, and the addition of temperature and humidity sensors is important to utilize. The result of this study is that the highest efficiency is obtained at 9.96%, meaning that the energy received by the system is 9.96% into useful power that is lost. In conclusion, solar panels are highly dependent on weather conditions and the focal point of solar energy capture. The implication of this study is that the improvement of environmentally friendly energy efficiency, although not too high, can be further developed. Recommendations for further research suggest that data collection be carried out in sunny weather, and improved using solar panels with a larger capacity and energy storage from batteries. The use of machine learning algorithms can be an alternative to study large amounts of solar panel data.
Implementasi Bentuk Normal Chomsky dalam Penyederhanaan Tata Bahasa Bebas Konteks Berbasis Pemrograman Website Haris, Celline Aloyshima; Nirawana, I Wayan Sugianta; Aulia Rahman, Nouval; Muabil Athalla, Fawwaz; Arief Akbar, Muhammad; Khaidir Akbar, Muhammad; Disar, Akmal; Adhani, Dinda; Ardi Winata, Muhammad; Octavian, Egi; Ramadhan, Nandio Oktaviansyah
Jurnal Sistem Informasi, Teknik Informatika dan Teknologi Pendidikan Vol. 5 No. 2 (2026): Jurnal Sistem Informasi, Teknik Informatika dan Teknologi Pendidikan IN PROGRES
Publisher : Utiliti Project Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55338/justikpen.v5i2.505

Abstract

Teori Bahasa dan Otomata merupakan salah satu pilar utama dalam ilmu komputer yang mempelajari bagaimana bahasa formal direpresentasikan, dibentuk, dan diproses oleh mesin komputasi. Di dalam kajian ini, Context-Free Grammar (CFG) menjadi aspek fundamental karena digunakan untuk mendefinisikan struktur sintaks bahasa pemrograman, melakukan analisis sintaks, serta menjadi dasar bagi berbagai algoritma kompilasi dan pemrosesan bahasa alami. Namun, bentuk CFG yang tidak terstruktur secara konsisten dapat menimbulkan kompleksitas pada proses parsing dan analisis komputasional. Untuk mengatasi hal tersebut, diperlukan bentuk normal yang lebih sistematis, yaitu Chomsky Normal Form (CNF). CNF menyederhanakan aturan produksi menjadi pola baku A → BC atau A → a, sehingga grammar menjadi lebih terstandarisasi dan mendukung penggunaan algoritma parsing seperti Cocke–Younger–Kasami (CYK). Hasil kajian menunjukkan bahwa transformasi CFG ke CNF tidak hanya memberikan bentuk grammar yang lebih sederhana, tetapi juga meningkatkan efisiensi dan akurasi proses parsing. Implementasi program berbasis CNF juga memberikan gambaran praktis mengenai bagaimana teori automata dapat diterapkan dalam sistem komputasi modern. Oleh karena itu, pemahaman mengenai CNF memiliki nilai strategis dalam pengembangan compiler, interpreter, perangkat lunak analisis sintaks, serta teknologi pemrosesan bahasa alami. Kajian ini diharapkan dapat memperkuat kompetensi mahasiswa dan peneliti dalam memahami serta mengimplementasikan teori bahasa formal dalam konteks komputasi.
Co-Authors Adhani, Dinda Ardi Winata, Muhammad Arief Akbar, Muhammad Disar, Akmal Haris, Celline Aloyshima I Wayan Sugianta Nirawana Karang Komala Putra, I Gede Khaidir Akbar, Muhammad Muabil Athalla, Fawwaz Octavian, Egi Rahmadani Fitria, Ayisa Ramadhan, Nandio Oktaviansyah Romisa, Fahmi Sugianta Nirawana, I Wayan