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Pemasangan jaringan komputer untuk peningkatan pembelajaran pada Yayasan Perguruan Letjen Haryono MT Caroline Caroline; Apriyanto Halim; Khairul Hawani Rambe
SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan Vol 9, No 5 (2025): September
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/jpmb.v9i5.33603

Abstract

Abstrak Yayasan Perguruan Letjen Haryono MT. merupakan institusi sekolah swasta yang bergerak di bidang pendidikan mulai dari tingkat TK sampai SMA. Kendala yang dihadapi oleh mitra adalah jaringan komputer yang sering mengalami gangguan dengan rata-rata 2–3 kali setiap minggu dan durasi downtime sekitar 5–10 menit per kejadian. Gangguan ini berdampak pada proses belajar mengajar di laboratorium lama yang hanya memiliki 20 unit komputer aktif. Kondisi tersebut mengakibatkan keterlambatan praktik, berkurangnya efektivitas pembelajaran, dan ketidaknyamanan siswa. Tujuan dari kegiatan ini adalah untuk menciptakan laboratorium komputer yang baru dengan pemasangan jaringan yang baik sehingga dapat mendukung operasional sekolah. Adapun metode yang digunakan dalam kegiatan ini meliputi pengumpulan kebutuhan mitra, pembangunan sketsa pemasangan jaringan, menyiapkan alat dan bahan yang diperlukan, memasang kabel UTP ke konektor RJ45, konfigurasi jaringan LAN, pengujian jaringan LAN, implementasi sesuai sketsa, dan pemeliharaan. Hasil dari pengabdian ini sesuai dengan tujuan kegiatan yaitu terbentuknya laboratorium komputer baru dengan instalasi ulang jaringan yang menerapkan topologi bintang. Penggunaan laboratorium tidak terlepas dari pengguna yang mengoperasikannya. Oleh sebab itu, disarankan agar perangkat komputer dan kabel yang ada dijaga dan dirawat dengan baik. Kata kunci: jaringan; local area network; pengabdian; topologi bintang. Abstract Yayasan Perguruan Letjen Haryono MT. is a private educational institution that provides learning services from kindergarten to senior high school levels. The main problem faced by the partner is the instability of the computer network, which experiences an average of 2–3 disruptions per week with a downtime duration of approximately 5–10 minutes per incident. This disruptions significantly hampers the teaching and learning process in the old computer laboratory, which was limited to 20 active computer units. This condition causes delays in practical sessions, reduced learning effectiveness, and student inconvenience. The purpose of this community service activity is to establish a new computer laboratory with a properly installed network to support the school’s operational activities. The methods implemented in this activity include collecting partner requirements, designing a network installation sketch, preparing the necessary tools and materials, crimping UTP cables to RJ45 connectors, configuring the LAN, testing the LAN, implementing the network design, and conducting maintenance. The results of this activity successfully achieved the objectives, namely the development of a new computer laboratory with a reinstalled network using a star topology. Since the laboratory usage depends on users, it is recommended that computers and cables be properly maintained to ensure long-term functionality. Keywords: network; local area network; service; star topology.
Optimizing Rice Planting Schedules Based on Rainfall Prediction Using a BiLSTM Network Fandi Presly Simamora; Khairul Hawani Rambe; Sophya Hadini Marpaung
Journal of Novel Engineering Science and Technology Vol. 5 No. 01 (2026): Journal of Novel Engineering Science and Technology
Publisher : The Indonesian Institute of Science and Technology Research

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56741/jnest.v5i01.1340

Abstract

This study addresses the critical challenge of optimizing rice planting schedules in Indonesia, where unpredictable rainfall threatens national and regional food security. To tackle this issue, a Bidirectional Long Short-Term Memory (BiLSTM) network is proposed to accurately predict rainfall patterns, with a specific focus on Deli Serdang Regency in North Sumatra. Utilizing a comprehensive weather dataset from 2013 to 2022 sourced from BMKG, a feature selection process was conducted to identify the 10 most influential features for rainfall. The BiLSTM model was then developed through several experimental scenarios, varying the data duration and architectural complexity. The best-performing model, achieved in a scenario using a double BiLSTM architecture and 10 years of data, yielded a Mean Absolute Error (MAE) of 11.2382 mm and a Root Mean Squared Error (RMSE) of 19.5650 mm. The resulting predictive capability provides a data-driven framework for optimizing planting schedules. Crucially, the study also reveals the limitations of current planting criteria, which can be misleading in regions prone to intense, short-duration rainfall, highlighting the need for more adaptive, region-specific guidelines. This work contributes to mitigating crop failure risks, enhancing crop resilience, and ensuring long-term regional food security.