Yahya, Muhammad Izzuddin
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IMPLEMENTASI TEKNOLOGI PEMBANGKIT LISTRIK TENAGA SURYA PADA SISTEM HIDROPONIK DAN AKUAPONIK DI SDI AS SALAM DAN SMPIT AS SALAM SERTA INTEGRASINYA DENGAN PROGRAM KKN Baharuddin, Muhammad Fadly Zon; 'Atieq, Madza Awwalul; Prihartono, Mohammad Haikal Rizki; Chairunnisa, Fatma; Hamzah, Ilham Fathurrahman; Erenka, Salsabila Naja; Pangestu, Luhita Labibah; Yahya, Muhammad Izzuddin; Gibran, R M Avril
Unri Conference Series: Community Engagement Vol 6 (2024): Seminar Nasional Pemberdayaan Masyarakat
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat Universitas Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31258/unricsce.6.144-149

Abstract

Doctoral program of service at SDI As Salam and SMPIT As Salam aims to address issues in implementing urban farming by applying solar power technology to hydroponic and aquaponic systems. The methods used in this program include a participatory approach through brainstorming sessions and focus group discussions (FGD), technical training, and intensive mentoring. The results show that the installation of solar power systems successfully reduced electricity costs by up to 40% within the first three months. Additionally, the technical training provided has improved the technical knowledge and skills of 90% of the training participants. The program also increased environmental awareness and participation among students and staff. Challenges such as high initial costs and the need for routine maintenance present opportunities for future improvement through additional funding and ongoing training. The success of this program provides tangible benefits to the school and surrounding community and has the potential to be implemented in other schools.
OPTIMASI PENEMPATAN TITIK ODP PADA JARINGAN FTTH DI PERUMAHAN GRAHA DEWATA MALANG MENGGUNAKAN ALGORITMA K-MEANS CLUSTERING Yahya, Muhammad Izzuddin; Kusmaryanto, Sigit; Partiansyah, Fakhriy Hario
Jurnal Mahasiswa TEUB Vol. 14 No. 1 (2026)
Publisher : Jurnal Mahasiswa TEUB

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Abstract

The increasing demand for high-speed internet accessdrives service providers to develop efficient and reliable Fiber to theHome (FTTH) networks. One of the key challenges in FTTH planningis the optimization of Optical Distribution Point (ODP) placement,since suboptimal positioning may cause unequal cable distributionbetween different Optical Network Terminals that are assigned to thesame ODP. This study proposes an approach to optimize ODPplacement using the K-means clustering algorithm, with the objectiveof identifying cluster centers that represent optimal ODP locations.The algorithm groups customer coordinates into clusters, whiledifferent values of K are tested to determine the configuration thatyields the most efficient and balanced ODP utilization. This approachaims to reduce the disparity of noise during transmission betweenONTs in the same cluster.Keywords: FTTH, ODP, K-means clustering