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All Journal Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI) Jurnal Teknologi dan Sistem Komputer Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Jurnal Biologi Tropis Journal of Computer Science and Informatics Engineering (J-Cosine) Jurnal Pengabdian Magister Pendidikan IPA Jurnal Gema Ngabdi Dielektrika : Jurnal Ilmiah Kajian Teori dan Aplikasi Teknik Elektro Jurnal Sistem Komputer & Kecerdasan Buatan International Journal of Electrical, Energy and Power System Engineering (IJEEPSE) Journal of Computer System and Informatics (JoSYC) EEICT (Electric, Electronic, Instrumentation, Control, Telecommunication) Empiricism Journal Jurnal Warta Desa (JWD) Jurnal Teknoif Teknik Informatika Institut Teknologi Padang Jurnal Pepadu Journal of Artificial Intelligence and Digital Business ARMADA : Jurnal Penelitian Multidisiplin Valid Jurnal Pengabdian JEITECH (JOURNAL OF ELECTRICAL ENGINEERING AND INFORMATION TECHNOLOGY)
Misbahuddin, Misbahuddin
Universitas Mataram
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Penggunaan Teknologi Artificial Intelligence (Ai) Pada Pengelolaan Sistem Pertanian Di Dusun Bentenu Gerung Lombok Barat Djul Fikry; Misbahuddin Misbahuddin; M. Syamsu Iqbal; A. Sjamsjiar Rachman; Lalu Ahmad S. Irfan Akbar; Giri Wiriasto
Jurnal Gema Ngabdi Vol. 8 No. 1 (2026): JURNAL GEMA NGABDI
Publisher : Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jgn.v8i1.679

Abstract

This community service program aims to enhance the capacity of farmers in Bentenu Hamlet, West Lombok, in adopting Artificial Intelligence (AI) technology to support the transformation from traditional agriculture to digital-based smart farming. The main challenges faced by partners include low technological literacy, limited access to modern agricultural information, and reliance on conventional farming practices. The implementation methods consist of socialization, training, mentoring, and evaluation. Training materials cover the introduction of AI concepts, the use of the Plantix application for crop disease and pest diagnosis, the utilization of temperature, humidity, and soil pH sensors, as well as the introduction of Internet of Things (IoT)-based systems. The results show improved farmers’ understanding and skills in using digital technologies for land monitoring and decision-making in agricultural practices. Farmers are also able to identify plant problems more quickly and accurately using AI-based applications. Furthermore, the program increases farmers’ motivation to adopt modern technologies to improve agricultural productivity. Therefore, this activity contributes to enhancing digital literacy, improving agricultural efficiency, and accelerating the transition toward smart farming in rural areas
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.
The Potential Application of IoT and Multispectral UAV Soil Sensor Technology in Sorgum (Sorgum bicolor L. Moench) Cultivation in Dry Land in Pujut District, Central Lombok Regency Ardi Yoga Pramesthi; Auliya Safitri; Misbahuddin Misbahuddin; Muhammad Husni Idris
Jurnal Biologi Tropis Vol. 26 No. 2 (2026): April - Juni
Publisher : Biology Education Study Program, Faculty of Teacher Training and Education, University of Mataram, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jbt.v26i2.11867

Abstract

Sorghum (Sorghum bicolor L. Moench) is a drought-tolerant crop with significant potential for dryland cultivation in Pujut District, Central Lombok Regency, Indonesia. This study reviews the potential application of Internet of Things (IoT) and multispectral Unmanned Aerial Vehicle (UAV) technologies for precision sorghum cultivation in dryland ecosystems. A qualitative descriptive literature review was conducted, synthesizing 13 peer-reviewed studies on IoT sensor networks, UAV-based remote sensing, machine learning algorithms, and their integration in precision agriculture. The results indicate that IoT soil sensors can continuously monitor soil moisture, temperature, pH, and nutrient levels in Vertisol soils, while multispectral UAVs capture vegetation indices (NDVI, NDRE, CWSI) for biomass estimation, drought stress assessment, and yield prediction. The integration of both technologies, combined with machine learning approaches including ensemble learning and transfer learning, produces comprehensive crop health maps and site-specific management recommendations. The dryland characteristics of Pujut District, with Vertisol soils (pH 6.5–8.4) and limited water availability, are highly suitable for sorghum cultivation and would benefit substantially from precision agriculture interventions. A five-stage implementation framework is proposed, encompassing baseline survey, monitoring, analytics, precision management, and evaluation. Despite challenges including initial investment costs and technical capacity requirements, the long-term benefits of improved productivity and resource efficiency make IoT-UAV integration a viable strategy for sustainable dryland sorghum farming.
Pengembangan Pertanian Kakao Berkelanjutan melalui Inovasi Pestisida Nabati dan Pemberdayaan Masyarakat di Desa Buwun Sejati Muhammad Zaidaan Ath Thaariq; Sahsandira; Novita Ramdayani; Ahdiyat Rescaya Putra; Thorfinn Muda; Angriani Cahaya Putri; Nery Agustiani; Mufidah; Julia Ariyani; Ni Luh Wirani Putri Wahyuningsih; Misbahuddin
Valid Jurnal Pengabdian Vol. 4 No. 2 (2026): Vol. 4 No. 2 Juli 2026
Publisher : Lembaga Pengembangan, Penelitian dan Pengabdian Kepada Masyarakat Sekolah Tinggi Ilmu Ekonomi AMM

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Pest control in cocoa cultivation still relies heavily on chemical pesticides, which may negatively affect the environment. This community service activity aimed to improve farmers’ knowledge and skills in producing and utilizing botanical pesticides as an alternative pest control method. The activity was conducted in Buwun Sejati Village, Narmada District, West Lombok Regency through counseling, training, and hands-on practice using cloves, garlic, and galangal. The results showed improved farmers’ knowledge and skills in sustainable pest management. This activity also supports SDGs 2 (Zero Hunger), SDGs 12 (Responsible Consumption and Production), and SDGs 15 (Life on Land) through the implementation of more environmentally friendly and sustainable agricultural practices.
Co-Authors A. Sjamsjiar Rachman A. Sjamsjiar Rachman A. Syamsu Irfan Akbar Abdul Amar Gifari Abdul Kholid Ade Safarudin Madani Ahdiat Aunul Hipzi Ahdiyat Rescaya Putra Akbar, L A Syamsul Irfan Amri, Septia Bahrul Angriani Cahaya Putri Anisaturahman Ardi Yoga Pramesthi Arsy Saefatullah AULIA, FIRDA Auliya Safitri Baiq Irma Fitriani Baiq Juliati Bangkit Maulana, Bangkit Bulkis Kanata David, Muhammad Dena Prihatiningsih Dinda Ayu Rizqia Diva Septiawan Djul Fikri Budiman Djul Fikri Budiman Djul Fikry Djul Fikry Budiman, Djul Fikry Elmy Ericka Stywati Fatmalasari, Desi Faturrahman Giri Wahyu Wiriasto Giri Wiriasto Gunawan Gunawan Hazi, Khaerul Helmi Ilzam Fadholi Hisan, Khaeratun I Gusti Putu Muliarta Aryana I Made Ari Nrartha I Made Budi Suksmadana Ibzani Ilham Shagianto Indira puteri Kinasih Irfan Akbar, L. Ahmad Syamsul Jafar, Sitti Rusnah Januarman Maulana Putra Julia Ariyani Jurnal Pepadu Kurniawan, Lalu Kusniati, Pipit L Ahmad L. Ahmad Syamsul Irfan Akbar L. Syamsul Irfan Akbar L.A.S. Irfan Akbar Lalu Ahmad S. Irfan Akbar Lalu Jazuly Khaerul Hady M. Syamsu Iqbal Made Sutha Yadnya Mathildes Inna Kamuri Mayantika, Husnitalia Mufidah Muh. Hayatullah Muhamad Syamsu Iqbal Muhamad Syamsu Iqbal Muhamat Taufik, Muhamat Muhammad Amjad Syahrastany Muhammad Husni Idris Muhammad Husni Idris Muhammad Husni Idris Muhammad Irwan Muhammad Rafli Muhammad Zaidaan Ath Thaariq Mutia, Baiq Hana Nabilah, Nuha Nery Agustiani Ni Luh Wirani Putri Wahyuningsih Ni Made Seniari Ni Wayan Krisnitha Putri Novita Ramdayani Nur Safitri Nuriman Nuriman, Nuriman Nurmahsya, Guruh Khedar Paniran Paniran Pikrianto, Riki Putra Rahmat Ramadhan Putu Aditya Wiguna Raflin, Muhammad Rafli Randa Maulana Raodatul Putri Rosmaliati, Rosmaliati Sahsandira Sudi Mariyanto Al Sasongko Sukartono Sukartono Suksmadana, I Made Budi Supiani Supiani Suryani Kazrina Syafaruddin Syafaruddin Taufik Thorfinn Muda Wahyuti, Putri Yunita Wira Wawantoro Yunisa Afriani Yunita Sari Yusron Rizki Ardiansyah ZA, Baiq Ayu Rizka Amalia Zamroni, Sulthon