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All Journal Agrikultura ELKHA : Jurnal Teknik Elektro Jurnal Ilmu Sosial dan Humaniora Jurnal Agribisnis Indonesia (Journal of Indonesian Agribusiness) Agrin : Jurnal Penelitian Pertanian Journal of Socioeconomics and Development SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) JURNAL AGRIBISAINS Asian Journal of Agriculture ULIN: Jurnal Hutan Tropis Jurnal Pengabdian Masyarakat Borneo Jurnal Borneo Saintek J-PEN Borneo : Jurnal Ilmu Pertanian International Journal of Economic, Business, Accounting, Agriculture Management and Sharia Administration (IJEBAS) Borneo Community Health Sevice Journal Agribusiness Journal Sejahtera: Jurnal Inspirasi Mengabdi Untuk Negeri Jurnal Pepadu Jurnal Pendidikan dan Pengabdian Masyarakat Indigenous Agriculture Biodiversitas Journal of Biological Diversity Jurnal Rekayasa elektrika
Etty Wahyuni
Faculty Of Agriculture, Universitas Borneo Tarakan. Jl. Amal Lama No. 1, Bulungan 77123, North Kalimantan, Indonesia
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Biochemistry, Genetics & Molecular Biology Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Dentistry Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Medicine & Pharmacology Nursing Physics Public Health Social Sciences Other

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Potential of prospective medicinal plants of Rhizophoraceae from North Kalimantan, Indonesia SAAT EGRA; HARLINDA KUSPRADINI; IRAWAN WIJAYA KUSUMA; IRMANIDA BATUBARA; IMRA IMRA; NURJANNAH NURJANNAH; ETTY WAHYUNI; KOSEI YAMAUCHI; TOHRU MITSUNAGA
Biodiversitas Journal of Biological Diversity Vol. 24 No. 3 (2023)
Publisher : Society for Indonesian Biodiversity

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13057/biodiv/d240303

Abstract

Abstract. Egra S, Kuspradini H, Kusuma IW, Batubara I, Imra, Nurjannah, Wahyuni E, Yamauchi K, Mitsunaga T. 2023. Potential of prospective medicinal plants of Rhizophoraceaefrom North Kalimantan, Indonesia. Biodiversitas 24: 1346-1355. The abundance of mangrove forests in the equatorial region necessitates proper management, including the sustainable use of plant parts for functional products such as food, medicine, etc. This study aimed to assess the medicinal potential of five mangrove plants through phytochemical analysis, antibacterial assays against Streptococcus sobrinus, DPPH free radicals, and toxicity assay using Artemia salina L., Bruguiera parviflora(Roxb.) Wight and Arn. ex Griff, Bruguiera cylindrica(L.) Blume, Ceriops tagal(Perr.). The plants used were Ceriops tagal (Perr.) C.B. Rob, Rhizophora mucronata Poir, and Rhizophora apiculata Blume. Plant samples were extracted with n-hexane, ethyl acetate, and methanol in that order, and then the obtained plant extracts were subjected to various assays. The results showed that B. cylindrica wood and C. tagal leaf extract had the highest antibacterial activity, with more than 50% relative inhibition. The C. tagal leaf methanolic extract had the highest antioxidant activity, by 91% relative inhibition. Followed by R. mucronata wood ethyl acetate extract and B. parviflora leaf methanolic extract, with 87% and 86%, respectively. The highest value in the cytotoxicity assay was discovered in the B. cylindrica in the very strong category with an LC50value of 22.9 µg/mL. The present study revealed the potential of mangrove plant extracts to have strong antibacterial, cytotoxic, and antioxidant properties.
Adaptive Low-Power LoRa WSN for Real-Time Soil Monitoring in Remote Oil Palm Plantations Tahcfulloh, Syahfrizal; Rattu, Michael Yehezkiel; Wahyuni, Etty; Kusuma, Irawan Wijaya; HM, Irawati; Santoso, Dwi; Arif, Nina Fapari; Fatwa, Nur; Setiawan, Rusdy; Arwan, Arwan
ELKHA Vol. 18 No.1 April 2026
Publisher : Faculty of Engineering, Universitas Tanjungpura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26418/elkha.v18i1.100568

Abstract

Oil palm plantations in remote regions such as Sebatik, North Kalimantan, face significant challenges in sustainable soil management due to limited infrastructure and dynamic peat soil conditions. Conventional monitoring methods lack real-time capability and energy efficiency. To address this, this research proposes a novel adaptive low-power LoRa-based Wireless Sensor Network (WSN) that dynamically adjusts sensing and transmission frequency based on real-time soil parameters—specifically, moisture, temperature, and pH. Unlike fixed-interval systems, the proposed architecture implements edge-based logic on ESP32 nodes to escalate sampling during critical events (e.g., pH ≤ 4.5) and reduce activity during stable periods, optimizing energy use without cloud dependency. The system integrates LoRa SX1278 modules, a RAK2245 gateway, ChirpStack for secure data routing, and OpenRemote for visualization and alerts. Field testing over 7 days in three micro-zones (roadside, plantation center, drainage) demonstrated robust performance with average Packet Delivery Ratios of 97.2%, 82.5%, and 88.3%, respectively, and a communication range of up to 2.8 km. Crucially, the adaptive strategy reduced daily power consumption to 7.8 mAh—58% lower than a fixed 10-minute schedule—extending theoretical battery life from 6–8 months to over 14 months. Sensor accuracy remained high (moisture error: 1.68%; temperature: 3.09%; pH: 1.47 units), enabling timely agronomic interventions such as targeted liming. This work contributes an environment-responsive WSN architecture that balances energy efficiency and event responsiveness, offering a scalable, deployable model for precision agriculture in tropical peripheral regions with acidic soils and intermittent connectivity.
Optimization of Wireless Sensor Network Node Placement in Oil Palm Plantations using Particle Swarm Optimization for Improved Path Loss Prediction Syahfrizal Tahcfulloh; Etty Wahyuni; Dwi Santoso; Tri Noviyansyah
Jurnal Rekayasa Elektrika Vol. 21 No. 4 (2025): Vol. 21, No. 4, December 2025
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17529/jre.v21i4.756

Abstract

This study proposes a data-driven framework for optimizing Wireless Sensor Network (WSN) node placement in oil palm plantations on Sebatik Island, Indonesia, by integrating site-specific path loss modeling with a modified Particle Swarm Optimization (PSO) algorithm. Field measurements across 120 transmitter-receiver pairs at 433 MHz revealed that conventional log-distance models poorly predict signal attenuation in dense vegetation (R² < 0.35, RMSE > 8 dB), while calibrated quadratic and cubic polynomial models achieved high accuracy (R² up to 0.9857, RMSE as low as 1.12 dB). These empirical models were embedded into the PSO fitness function to optimize spatial deployment of 20 nodes over a 500 m × 800 m area. The optimized layout achieved 94.7% coverage, 98% connectivity, 42% energy savings over random placement, and 95.6% Packet Delivery Ratio (PDR). Validation against independent field data confirmed robust prediction accuracy (RMSE = 4.3 dB), significantly outperforming generic models like ITU-R. This approach demonstrates that vegetation-aware, empirically calibrated modeling combined with metaheuristic optimization substantially enhances WSN performance in tropical agro-forestry environments, offering a scalable solution for smart agriculture in remote, ecologically complex regions.
Co-Authors Adi Sutrisno Adi Sutrisno Adi Sutrisno Afriani, Noor Agang, Mohammad Wahyu Amarullah Amarullah Anang Sulistyo Anang Sulistyo Andriani, Rika Arif, Nina Fapari Arni Arni Arwan Arwan Ayu Wulandari Banyuriatiga Banyuriatiga Banyuriatiga Banyuriatiga CCW, Dewi Elviana CW, Dewi Elviana Cahyaning Deny Titing Devi Maulida Rahmah Didi Rukmana Dwi Prayoga Dwi santoso DWI SANTOSO Egra, Saat Eko Hary Pudjiwati EKO HARY PUDJIWATI Elida Novita Elly Jumiati Erwan Kusnadi Fathur Rahman Fitriani R Galih Yogi Rahajeng Gusriani Gusriani Hardyantoro, Vicko Tri HARLINDA KUSPRADINI Hendris Hendris Hendris Hendris I GUSTI PUTU MULIARTA ARYANA IMRA IMRA IRAWAN WIJAYA KUSUMA Irawan Wijaya Kusuma, Irawan Wijaya Irawati HM Irawati HM IRMANIDA BATUBARA Jafar, Rayhana Junaid, Muh.Tharmizi Khaerunnisa Khaerunnisa Khaerunnisa, Khaerunnisa Khaerunnisa Kherunnisa Khairani, Zulfa Rahmalia Khalid Sunny KOSEI YAMAUCHI Kusmaryani, Woro Kusnandar, Hasan Fahmi Lilit, Sona Wanda Malik, Aan Digita Marlina Marlina Mas Davino Sayaza Masitah Mohammad Wahyu Agang Mohammad Wahyu Agang Muh. Adiwena Muh. Irfandy Azis Muhammad Soesilo Dermawan Muhammad Wahyu Mulyadi Mulyadi Munira Munira, Munira Murdianto, Deny Nabilah Febriyanti Noor Afriani Nur Fatwa, Nur NURHASANAH NURHASANAH NURJANNAH NURJANNAH Nurzhahratul Lailiah octamelia, Mega Rahmat Pramulya Ramli Ramli Rattu, Michael Yehezkiel RUSDIANSYAH RUSDIANSYAH Rusdy Setiawan SAAT EGRA Saat Egra Saat Egra Saat Egra Saderiah Saderiah Santoso, Dwi Sari, Nove Kurniati Sekar Inten Mulyani SITI ZAHARA Sudirman Sirait SUKARTONO SUKARTONO Sulistyo, Anang Sunny, Khalid Suryana, Nia Kurniasih Syahfrizal Tahcfulloh Tjahjo Tri Hartono TOHRU MITSUNAGA Tri Noviyansyah Wayan Wangiyana WIDI SUNARYO Yasin, Nur Azizah Yusrie Yusrie