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Sosialisasi Dan Pelatihan Smart Plantation Berbasis Internet Of Things (IOT) Menggunakan ESP32 Untuk Monitoring Kelembaban Tanah Pada Kelompok Tani Kelapa Sawit Raden Aris Sugianto; Ritna Wahyuni; Ratu Mutiara Siregar; Andi Prayogi; Sri Lestari Rahayu
Jurnal Pengabdian Masyarakat Bangsa Vol. 4 No. 2 (2026): JURMAS BANGSA
Publisher : Riset Sinergi Indonesia

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

Abstract

Perkebunan kelapa sawit merupakan salah satu sektor strategis yang berperan penting dalam mendukung perekonomian nasional. Namun, pengelolaan lahan oleh kelompok tani masih menghadapi berbagai kendala, salah satunya adalah keterbatasan dalam memantau kondisi kelembaban tanah secara berkala sehingga penyiraman dan pengelolaan tanaman belum dilakukan secara optimal. Kegiatan Pengabdian kepada Masyarakat ini bertujuan untuk meningkatkan pengetahuan dan keterampilan kelompok tani kelapa sawit dalam memanfaatkan teknologi Smart Plantation berbasis Internet of Things (IoT) menggunakan mikrokontroler ESP32 sebagai sistem monitoring kelembaban tanah secara real-time. Metode pelaksanaan meliputi tahap identifikasi kebutuhan mitra, sosialisasi konsep Smart Plantation dan IoT, pelatihan perakitan perangkat ESP32 yang terintegrasi dengan sensor kelembaban tanah, praktik penggunaan sistem monitoring, serta evaluasi pemahaman peserta melalui diskusi dan demonstrasi. Hasil kegiatan menunjukkan bahwa peserta mampu memahami konsep dasar IoT, mengoperasikan sistem monitoring kelembaban tanah berbasis ESP32, serta menyadari pentingnya penerapan teknologi digital dalam mendukung pengelolaan perkebunan kelapa sawit yang lebih efektif, efisien, dan berkelanjutan. Kegiatan ini diharapkan dapat mendorong transformasi digital pada sektor perkebunan melalui penerapan teknologi Smart Plantation yang sesuai dengan kebutuhan kelompok tani.
Design and Build a Decision Support System for Assessing the Feasibility of Weather Conditions to Support the Implementation of Oil Palm Harvesting Using the Simple Additive Weighting (SAW) Method Dwi Latifah Intan Ahadani; Ritna Wahyuni; Raden Aris Sugianto
International Journal of Management Science and Information Technology Vol. 6 No. 2 (2026): July - December 2026
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA), Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijmsit.v6i2.8348

Abstract

Weather conditions play an important role in supporting the effectiveness and safety of oil palm harvesting activities. However, weather feasibility assessment is often conducted manually and subjectively, which may result in inconsistent decision-making. This study aims to design and develop a web-based Decision Support System (DSS) for assessing weather conditions to support oil palm harvesting using the Simple Additive Weighting (SAW) method. The research employed field research and a Prototype development model. Weather data were obtained from the Meteorology, Climatology, and Geophysical Agency (BMKG), while system requirements were identified through observation and literature studies. The assessment involved four criteria: rainfall, average temperature, humidity, and solar radiation intensity. Each criterion was converted into a rating scale and processed through the SAW stages, including decision matrix formation, normalization, weighting, preference value calculation, and ranking. The results indicate that the developed system can generate a structured ranking of weather conditions based on their feasibility for harvesting activities. The system also provides weather data management, criteria management, automated SAW calculations, recommendations, and ranking results. Black-box testing showed that the main system functions operated according to the specified requirements. Therefore, the proposed DSS can support faster, more objective, and systematic decision-making in oil palm harvesting activities.
Co-Authors Abu Bakar Abu Bakar Ade Junesa Ade Saputra Ade saputra Adi Widjajanto Ahmad Billy Sutanto Ahmad Fauzi Pangaribuan Aldi Krisdian Aldo Dana Asneri Ahmad Lubis Alvin Arinanda Alvin Arinanda Ananda Afriandi Ananda, Aulia Andi Prayogi Andi Prayogi Arum Rakhmasari Octivaningsih, Arum Rakhmasari aska, bayu pratama Aslina Gulo Aulia Juanda Djaingsastro bayu pratama aska Bifrans Andre Batubara Billy Hendrik Bintang Florentina Aruan Bisma Agung Bistok Gumartop Delyana R. Pulungan Dhany Fadlur Rohman Dimas Bagus Setiawan Dimas Napitupulu Dina Arfianti Saragih Dinni Saqina Dion Nantoyo Dwi Latifah Intan Ahadani Erika Binjes Sagala Erin Triani Sipayung Fahrizal Fahrizal Febriana Roosmawati Febriani Putri Wulandari Firdaus Firdaus daus Firdaus Firdaus Ginting, Henrico Gunadi Widi Nurcahyo Guntoro Hasibuan, M Fariz Afif Ika Ucha Pradifta R INDAH SARI SIAGIAN Ingrid Ovie Yosephine ismatul khoiriyah Jamhur, Annisak Izzaty Jelita Anjelina Siburian Khairul Alfazar Khairul Imam Khairul Saleh Kisah Tiara Sihombing M. Ilham Saputra Ma'sum, Hadiansyah Maghfirah Mahyunis Maiyendra, Nico Alvio Manurung, Saroha Mardhiah Masril Marfalino, Hari Marpaung, Ozi Rizal Maudy Hellena Harlyn Mega Fatimah Rosana Mohammad Muslimin Muhammad Akbar Syahbana Pane Muhammad Arif Mutiara Cahyani Mutiara Cahyani Najib, Zaki Abdullah Natalia Fransiska Ginting Nico Alvio Maiyendra Novita Triana Nurhida Yani Lubis Pratomo, Dhanu Bagas Prayogi, Andi Pulungan, Delyanti Azzumarito Purjianto Putra , Rio Andika Raden Aris Sugianto Raden Aris Sugianto Rahmi , Riri Rahmi, Riri Rasyid, Mhd Andi Ratu Mutiara Siregar Ratu Mutiara Siregar Rina Maharany Rio Andika Putra Riri Rahmi Rizki syawaluddin Riztrya Novedliani Sarjon Defit Sayyid Murtadhah Nst1 Simbolon, Hasanal Fachri Satia Sri Lestari Rahayu Sri Lestari Rahayu Sri Murti Tarigan Sri Wahyuna Saragih Syarifatu Assolehah Tifany Zia Aznur Triansyah, Angga Zein, Ruri Hartika Zia