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All Journal Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Matrix : Jurnal Manajemen Teknologi dan Informatika Logic : Jurnal Rancang Bangun dan Teknologi Jurnal Pendidikan dan Kewirausahaan Madaniya JAMETECH
I Gede Suputra Widharma
Politeknik Negeri Bali
Religion Humanities Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Energy Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mechanical Engineering Social Sciences

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Pelatihan Sistem Informasi dan Sumbangan Komputer serta Alat Terapi untuk Yayasan Tapasya Stroke Center di Tabanan Dewa Ayu Indah Cahya Dewi; I Gede Suputra Widharma; I Made Budiada
Madaniya Vol. 4 No. 3 (2023)
Publisher : Pusat Studi Bahasa dan Publikasi Ilmiah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53696/27214834.499

Abstract

Yayasan Tapasya Stroke Center Amaranee merupakan organisasi nirlaba yang berlokasi di Jl. Teratai No 41A Desa Dauh Peken, Kecamatan Tabanan, Kabupaten Tabanan yang didirikan oleh Nyoman Titiek yang berfokus pada pendampingan dan pemulihan stroke tahun 2017. Selama proses pendampingan dan pemulihan stroke di Yayasan ini masih melakukan pencatatan data penyintas stroke secara manual yang ditulis dalam buku folio dan belum adanya perangkat hardware yang mendukung. Berdasarkan kondisi tersebut, Program Studi Teknik Otomasi Jurusan Teknik Elektro Politeknik Negeri Bali melakukan pengabdian di Yayasan Tapasya Stroke Center Amaranee, dimulai dari tahap persiapan pengabdian dalam bentuk survey ke lokasi, wawancara dengan pengelola yayasan dan observasi yayasan. Tahap kedua yaitu pelaksanaan pengabdian yang berupa pembuatan sistem informasi untuk mengelola data penyintas, data donatur dan relawan berbasis web, sumbangan komputer dan printer untuk mendukung implementasi penggunaan sistem informasi, pelatihan penggunaan sistem informasi dan sumbangan tempat lampu dan alat terapi. Tahap ketiga yaitu evaluasi. Kegiatan pengabdian ini mendapat sambutan baik dari Ketua Yayasan dan pengelola yayasan, selain itu antusias dan kehadiran para penyintas, relawan dan beberapa fisioterapis yang turut membantu saat pelaksanaan kegiatan pengabdian.
Mathematical Modeling of an Adaptive Lighting System Based on Solar Panels and Digital Communication for Microalgae Synthesis I Gede Suputra Widharma; I Gde Nyoman Sangka; I Gde Ketut Sri Budarsa
Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Vol. 11, No. 1, February 2026
Publisher : Universitas Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/kinetik.v11i1.2435

Abstract

Microalgae are promising photosynthetic microorganisms widely used in biofuel, pharmaceutical, and environmental applications. Their cultivation efficiency is highly influenced by light intensity, temperature, and pH. This study presents a mathematical model of an adaptive lighting system powered by solar energy and controlled through digital communication for sustainable microalgae synthesis. The system dynamically regulates LED illumination using real-time environmental feedback from temperature and pH sensors integrated into an IoT network. The model combines first-order ordinary differential equations (ODEs) to describe solar input, LED power consumption, environmental response, and communication delay. Numerical simulations performed in MATLAB show that the adaptive control algorithm maintains optimal illumination while minimizing unnecessary energy use. Compared to conventional static lighting, the proposed model achieves a 35% reduction in energy consumption and improved environmental stability despite communication latency. The study provides a foundational framework for developing intelligent, energy-efficient photobioreactor systems that align with the Sustainable Development Goals (SDG 7 and SDG 13). Future work may extend the model toward real-time, predictive, and machine-learning-based control for field-scale implementation.
Co-Authors Andrian Febriyanto DA Indah Cahya Dewi Dewa Ayu Indah Cahya Dewi Gian Felix Sinaga I Gde Ketut Sri Budarsa I Gde Ketut Sri Budarsa I Gde Nyoman Sangka I Gde Nyoman Sangka I Gusti Putu Arka I Kadek Cahyadi Arta I Made Budiada I Made Eri Setiadi I Made Sajayasa I Made Wijaya Kusuma I Nengah Sunaya I Nym Sugiarta I Putu Bagus Wisnu Saputra I Putu Gede Giri Satriawan I Wayan Raka Ardana I Wayan Sudiartha I Wayan Teresna Ida Bagus Irawan Purnama Ida Bagus Irawan Purnama Ida Bagus Made Harisanjaya Adi Nugraha IGN Sangka IM Budiada IN Sunaya Mardiki Supriadi Putu Gde Sukarata Wayan Nara Wisesa