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All Journal Jurnal Teknik Elektro JUTI: Jurnal Ilmiah Teknologi Informasi Jurnal Penelitian Pendidikan IPA (JPPIPA) Jurnal Nasional Komputasi dan Teknologi Informasi Journal of Computer Science and Informatics Engineering (J-Cosine) Jurnal Pengabdian Magister Pendidikan IPA KOMPUTEK EXPLORE Dielektrika : Jurnal Ilmiah Kajian Teori dan Aplikasi Teknik Elektro Jurnal Mnemonic Jurnal Abdi Insani JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) TIN: TERAPAN INFORMATIKA NUSANTARA ADMA: Jurnal Pengabdian dan Pemberdayaan Masyarakat Prosiding Konferensi Nasional PKM-CSR Jurnal Pustaka Mitra : Pusat Akses Kajian Mengabdi Terhadap Masyarakat Fidelity : Jurnal Teknik Elektro Jurnal Informatika Teknologi dan Sains (Jinteks) EXPLORE Jurnal Bakti Nusa Jurnal Pepadu
A. Sjamsjiar Rachman
Universitas Mataram
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Identifikasi Citra Motif Kain Tenun Sumbawa (Kre Alang) Menggunakan Metode Convolutional Neural Network Arsitektur MobileNetV2 Nandita Dianda; A Sjamsjiar Rachman; Made Sutha Yadnya
Journal of Information System Research (JOSH) Vol 6 No 2 (2025): January 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v6i2.6774

Abstract

Weaving is a cultural product that reflects the identity of the people who make it, with each region having its patterns, beauty, and distinctive features of its weaving motifs. However, identifying the origin of the region based on woven fabric motifs is often difficult to do due to the unique and diverse characteristics of the motifs. This paper aims to evaluate the performance of the MobileNetV2 architectural model in classifying the motif image of Sumbawa woven fabrics. This model was tested using a dataset of woven fabric images that included various motifs from Sumbawa. The results showed that the model managed to achieve the highest accuracy of 98.14% in the 20th and 25th epochs, with a training time of less than 1 hour. In the training data, the model obtained an accuracy of 99.71% with a loss of 12.99%, which indicates that the model can recognize images with a very high level of accuracy. However, in the validation data, the accuracy of the model was recorded at 92.71% with a loss of 41.98%, which shows that despite the decrease in accuracy, the model is still able to generalize well on data that has never been encountered before. In addition, the model showed excellent results in terms of precision (98.14%), recall (100%), and f1-score (99%). These findings confirm the effectiveness of the MobileNetV2 model in recognizing Sumbawa woven fabric motifs and provide a solid basis for the development of an automated system in supporting the preservation and promotion of regional weaving culture. This paper also shows the importance of model optimization to improve accuracy on validation data and reduce the gap between training data and unseen data. As a next step, the research can be directed to expand the dataset with more variations of motifs and regions to improve the model's ability to generalize to different types of woven fabric motifs.
Inovasi Pengelolaan Biogas di Rumah Qur’an At-Tazkiyah, Sembalun Lombok Timur Kanata, Bulkis; Rosmaliati, Rosmaliati; Yadnya, Made Sutha; Zainuddin, Abdullah; Rachman, A. Sjamsjiar; Paniran, Paniran; Suharyadi, Farhan Ahmad; Derajat, Dirga Dama; Majdi, Shafwatul; Ramdani, M.
Jurnal Pustaka Mitra (Pusat Akses Kajian Mengabdi Terhadap Masyarakat) Vol 5 No 3 (2025): Jurnal Pustaka Mitra (Pusat Akses Kajian Mengabdi Terhadap Masyarakat)
Publisher : Pustaka Galeri Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55382/jurnalpustakamitra.v5i3.976

Abstract

Krisis energi dan dampak lingkungan akibat penggunaan bahan bakar fosil mendorong pencarian solusi energi terbarukan yang ramah lingkungan. Pengabdian ini bertujuan memanfaatkan biogas sebagai alternatif energi di Rumah Qur'an At-Tazkiyah, Sembalun, Lombok Timur. Sistem monitoring tekanan dan laju aliran biogas dirancang dan diimplementasikan untuk memantau kinerja sistem secara real-time. Alat monitoring yang terintegrasi dengan platform Blynk memungkinkan pengambilan data setiap menit, memberikan gambaran mengenai performa sistem. Hasil pantauan menunjukkan bahwa tekanan biogas mengalami tren penurunan, sedangkan massa dan laju aliran biogas menunjukkan variasi yang dipengaruhi oleh ketersediaan bahan baku, terutama kotoran sapi. Laju aliran yang relatif rendah dapat mengakibatkan efisiensi pembakaran yang kurang optimal dan meningkatkan emisi karbon. Kesimpulan dari pengabdian ini menegaskan bahwa meskipun terdapat tantangan dalam pengelolaan biogas, penerapan teknologi monitoring yang efektif dapat meningkatkan kinerja sistem dan membantu dalam pengambilan keputusan yang lebih baik. Rekomendasi untuk perbaikan sistem diharapkan dapat meningkatkan efisiensi produksi biogas, menyediakan sumber energi yang berkelanjutan, serta memberikan kontribusi pada pengurangan biaya operasional dan keberlanjutan lingkungan di masyarakat.
Pemanfaatan Biogas untuk Mendukung Penerangan Mandiri Berbasis Energi Terbarukan di Rumah Qur’an Sembalun Rosmaliati, Rosmaliati; Kanata, Bulkis; Yadnya, Made Sutha; Zainuddin, Abdullah; Rachman, A. Sjamsjiar; Paniran, Paniran; Akbar, Lalu Muhamad Roviq; Suharyadi, Farhan Ahmad
Jurnal Pustaka Mitra (Pusat Akses Kajian Mengabdi Terhadap Masyarakat) Vol 5 No 6 (2025): Jurnal Pustaka Mitra (Pusat Akses Kajian Mengabdi Terhadap Masyarakat)
Publisher : Pustaka Galeri Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55382/jurnalpustakamitra.v5i6.1363

Abstract

Keterbatasan pasokan listrik dan ketergantungan pada energi fosil menjadi permasalahan utama yang dihadapi masyarakat di Rumah Qur’an Sembalun. Kondisi ini mendorong perlunya pengembangan sumber energi alternatif yang ramah lingkungan dan berkelanjutan. Kegiatan pengabdian ini bertujuan untuk memanfaatkan biogas sebagai sumber energi listrik mandiri melalui penerapan sistem digester dan penampungan plastik berkapasitas 8 m³ yang terhubung dengan generator berkapasitas 700 watt. Metode pelaksanaan meliputi pengolahan limbah kotoran sapi dalam digester, penyaluran biogas ke penampungan, dan pengujian kinerja generator dalam menyalakan lampu LED hemat energi. Hasil pengujian menunjukkan bahwa sistem biogas mampu menghasilkan daya listrik antara 8 hingga 58 watt, dengan lama nyala total mencapai 60 menit. Daya rata-rata yang dihasilkan sebesar 15,28 watt dibandingkan daya nominal 15 watt, sehingga diperoleh efisiensi konversi energi sebesar 98,13%. Kegiatan ini membuktikan bahwa penerapan biogas berbasis penampungan plastik berkapasitas 8 m³ efektif untuk mendukung penerangan mandiri, sekaligus memberikan manfaat tambahan berupa pengelolaan limbah ternak dan pengurangan emisi gas rumah kaca, yang berkontribusi terhadap upaya kemandirian energi dan keberlanjutan lingkungan di wilayah pedesaan.
Implementation of Static Routing with Path Redundancy on LoRa SX1276 and ESP32 Based on Graph Theory L. Ahmad Syamsul Irfan Akbar; Misbahuddin; Muhamad Syamsu Iqbal; A. Sjamsjiar Rachman; Giri Wahyu Wiriasto; Djul Fikri Budiman; Made Sutha Yadnya
Journal of Computer Science and Informatics Engineering (J-Cosine) Vol 10 No 1 (2026): June 2026
Publisher : Informatics Engineering Dept., Faculty of Engineering, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jcosine.v10i1.701

Abstract

The rapid development of the Internet of Things (IoT) has increased the demand for energy-efficient wireless communication systems and others under various environmental conditions. LoRa (Long Range) technology has attracted considerable attention due to its ability to support long-distance transmission with low power consumption. However, most existing LoRa network implementations rely on single-hop or non-redundant statistical routing to the gateway point, making them vulnerable to link degradation or node failure. This study enhances the statistical routing mechanism with path redundancy implemented on an ESP32 microcontroller and an SX1276 LoRa transceiver module to improve communication transmission. The network topology is modeled using graph theory, where each node is represented as a vertex and communication paths are represented as weighted edges based on the Received Signal Strength Indicator (RSSI). The primary and backup routes are derived from the minimum-weighted path in the graph. Experimental results show that incorporating path redundancy improves the packet delivery ratio (PDR) and maintains communication continuity during primary path quality degradation. The proposed approach demonstrates the feasibility of a reliable multi-hop LoRa network using statistical routing with graph-based path redundancy.
Co-Authors ., Sinarep Akbar, L A Syamsul Irfan Akbar, L. Ahmad S. Irfan Akbar, L. Syamsul Irfan Akbar, Lalu A. Syamsul Irfan Akbar, Lalu Ahmad S. Irfan Akbar, Lalu Muhamad Roviq Budi Darmawan Bulkis Kanata Danistian, Angga Derajat, Dirga Dama Djul Fikri Budiman Djul Fikry Budiman, Djul Fikry Febtiawan, Ergi Putra Fikriansyah, Muhammad G. Gunawan Gamantyo Hendrantoro Giri Wahyu Wiriasto Gunawan Gunawan Hartawan, Bagi I Made Budi Suksmadana I Nengah Suhartawan Ida Lestari Harahap Ida Rofaida Iqbal, M. Syamsu Irfan A, L Ahmad Syamsul Irfan Akbar, L. Ahmad Syamsul Jurnal Pepadu Karya Gunawan Khusnul Mar'iyah L. Ahmad Syamsul Irfan Akbar L. Syamsul Irfan Akbar L. Syamsul Irfan Akbar L.A.S. Irfan Akbar L.A.Syamsul Irfan Akbar Lalu Imam Adiguna Rinjani M. Irwan M. Irwan, M. Irwan M. Rifqi M. Syamsu Iqbal Made Sutha Yadnya Majdi, Shafwatul Misbahuddin Misbahuddin, Misbahuddin Muhamad Fikriansyah Muhamad Syamsu Iqbal Muhamad Syamsu Iqbal Nandita Dianda Nurwijayanti Paniran Paniran Putra, Chaeru Rachmadi Rafli, Muhammad Ramdani, M. Rosmaliati, Rosmaliati RR. Ella Evrita Hestiandari Sandy Febrian R Suharyadi, Farhan Ahmad Suksmadana, I Made Budi Syafaruddin Syafaruddin Wicaksono, Eko Prasetyo Wirawan Wirawan Zainuddin, Abdullah Zamroni, Sulthon