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All Journal TEKMAPRO Journal of Industrial Engineering and Management Teknika: Jurnal Sains dan Teknologi Journal Industrial Servicess DINAMIKA Jurnal Ilmiah Teknik Mesin Jurnal Sains Dan Teknologi Lingkungan CESS (Journal of Computer Engineering, System and Science) Jurnal Sains & Teknologi Lingkungan JOIV : International Journal on Informatics Visualization JOURNAL OF INDUSTRIAL AND MANUFACTURE ENGINEERING Jurnal Teknik Industri : Jurnal Hasil Penelitian dan Karya Ilmiah dalam Bidang Teknik Industri JURNAL REKAYASA TEKNOLOGI INFORMASI KACANEGARA Jurnal Pengabdian pada Masyarakat Martabe : Jurnal Pengabdian Kepada Masyarakat Jurnal Serambi Engineering Industri Inovatif : Jurnal Teknik Industri Jurnal Optimalisasi Matrik : Jurnal Manajemen dan Teknik Industri Produksi Jurnal Tekno Jurnal Teknik Industri Terintegrasi (JUTIN) Jurnal Teknik Informatika (JUTIF) Jurnal AbdiMas Nusa Mandiri Indonesian Journal of Industrial Engineering & Management Jurnal Ilmiah Wahana Pendidikan Industrika : Jurnal Ilmiah Teknik Industri Media Perspektif Factory Jurnal Industri, Manajemen dan Rekayasa Sistem Industri Jurnal Pengabdian Masyarakat Bangsa Jurnal Baut Dan Manufaktur Jurnal Teknik Industri
Yudi Sukmono, Yudi
Jurusan Teknik Industri, Fakultas Teknik Universitas Mulawarman
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Journal : JOIV : International Journal on Informatics Visualization

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Diagnosis of Diseases in Rubber Stems Using the Dempster Shafer Method Sukmono, Yudi; Pratiwi, Sinthya Ayu; Hatta, Heliza Rahmania; Septiarini, Anindita; Padmo Azam Masa, Amin; Wijayanti, Arini
JOIV : International Journal on Informatics Visualization Vol 8, No 4 (2024)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/joiv.8.4.3474

Abstract

Rubber (Hevea Brasiliensis) is a non-timber forest product originating from the Americas and is currently widely distributed worldwide, including in East Kalimantan, Indonesia. In their management in East Kalimantan, farmers often encounter diseases in rubber plants, especially diseases of the stems, which can cause plant death. This disease requires treatment, but if it is too severe, it can harm farmers economically and in production, so it is essential for farmers to recognize the symptoms of this disease early from changes in the rubber plant stems. This study aims to diagnose diseases of rubber stems using the Dempster Shafer method. Dempster Shafer is a relevant method for overcoming the uncertainty of symptoms and rules, enabling expert systems to generate conclusions with certainty. This method has advantages in solving various problems and simultaneously combining evidence (facts) from several sources. This research was conducted by analyzing a dataset of 80 data, covering 7 types of diseases and 27 different symptoms. The accuracy test results show that the research has an accuracy rate of 96.25%. The implications of this research are significant. It is hoped that it can significantly help rubber plantation farmers in East Kalimantan and also make a valuable contribution to agricultural and plantation extension agents in overcoming the challenges faced due to diseases in rubber plant stems. Thus, this research could increase the productivity and sustainability of the rubber plantation sector in this region.
Co-Authors A Halim Abdul Alimul Karim Abdul Halik Abdul Halim Abdullah Azzam Adriansyah Adriansyah Agus Winarno Agus Winarno, Agus Ahmad Amiruddin Nur Syam Aini, Sabrina Nur Amalia Dwi Irawati Amalia, Laeli Rezki Amirul Hadi, Amirul Anggata, Ariel Anggriani Profita Anindita Septiarini, Anindita Annisa Putri Dewiyanti Ari Susandy Sanjaya, Ari Susandy Arif Harjanto Arif Miming, Muhammad Ramdhani Arini Wijayanti Arizaldi Jamayam Rifani Ashar Ayuning Tias Ayuning Tias Baso Cante Burhandenny, Aji Ery Deasy Kartika Rahayu Denny Randiana Firda Saputra Dharma Widada Dhimas Saifullah Didit Suprihanto, Didit Dutho Suh Utomo Dwi Ermawati Rahayu Eko Saputro Fahrureza, Fahrureza Farida Djumiati Sitania Fathimahhayati, Lina Dianati Febrianice, Febrianice Felix, Manik Samuel Gunawan, Suwardi Hanafi, Mochammad Handayani, Friska Hardiansah, Hardiansah Haviluddin Haviluddin Heliza Rahmania Hatta, Heliza Rahmania Herwandi Herwandi Hidayat Hidayat Isal, Andi Jamayam Rifani, Arizaldi Jerio Madre Juk, Leonakanisi Karun Karang, Dominika Welin Khiyarinnisa, Faza Khoirunisa, siti La Ode Ahmad Safar Tosungku La Ode Ahmad Safar Tosungku, La Ode Ahmad Safar Lina Dianati Fathimahhayati Lina Dianati Fathimahhayati, Lina Dianati Luvita Okti Anggreani Mangkona Mangkona Marieke Stefanny Malenge Marrifa, Alfarizqi Nur Meicahayanti, Ika Meilisa Ayu Pratiwi Mualin Renaldy Setiabudi Muh Anhar Muhammad Aswar Ayyubi Muhammad Farhanuddin Wijaya Mustajib, Imron Ninda Nur Sabila Nurul Hasanah Okianadila Safira Widodo Olivia Angelica Murtioso Padmo Azam Masa, Amin Panjaitan, Irma Adelina Pawitra, Theresia Amalia Pratiwi, Sinthya Ayu Prayogi, Restu Priyo Heru Adiwibowo Purwanti, Wanda Putri, Icha Ayu Azzara Raihana, Jasmine Najwa Rais Kumar, Abdul Ghofur Ramadhana, Iqbal Ridwan, Syaiful M Rizki Hardiyan S, Junaidi Saptaningtyas, Wara Widyarini Endah Saputra, Muhammad Rizki Fajar Sariyani, Dwi Tika Seku, Agatha Silvia Herawati Singgih Rahardjo Sitania, Farida Djumiati Solly Aryza Stefanny Malenge, Marieke Suluhasa, Yoel Era Susanto, Gladis Permatasari Suwardi Gunawan Suwardi Gunawan Syamsiar, Syamsiar Tambunan, Willy Tasya Meidita Taufiq Qurrahman Theresia Amelia Pawitra Tirah, Afrilia Tita Dwi Riyanti Vablo Gloria, Siagian, Jevandra Wahyuda Wahyuda Wahyuda Wahyuda Wahyuda Wahyuda, Wahyuda Wibisono, Gibran Wicaksono, Martin Widada, Dharma Wijaya, Muhammad Farhanuddin Yusriawan, Muhammad Zulkifli Zulkifli