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All Journal Sebatik Specta Journal of Technology Jambura Journal of Electrical and Electronics Engineering Information System Journal (INFOS) Journal of Applied Computer Science and Technology (JACOST) Wahana Indonesian Research Journal on Education PIKAT Journal Geuthee of Engineering and Energy Equiva
Azhar, Nur Fajri
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Journal : Specta Journal of Technology

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Expert System for Diagnosing Plant-disturbing Organisms on Rice Plants Using the Euclidean Probability Method and Bayes Theorem with Forward Chaining Inference Technique Azhar, Nur Fajri; Prihasto, Bima; Nadhira Rizqana Nur Salsabila
SPECTA Journal of Technology Vol. 8 No. 3 (2024): SPECTA Journal of Technology
Publisher : LPPM ITK

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Abstract

Rice is a basic human need that needs to be fulfilled continuously, especially in Indonesia. However, rice production decreased by 2.05% in 2023; the decline was influenced by the lack of rice fields and crop failure due to attacks by plant-disturbing organisms such as Blast, Brown Spot, and even Ricefield Rats. Therefore, expert system technology is useful to help create opportunities for progress in the agricultural sector in overcoming the decline in production. This research utilizes the best method between Euclidean Probability, Bayes` Theorem, and a combination of both in diagnosing plant-disturbing organisms in rice plants. The expert system works by analyzing the symptoms and characteristics of the plants using weight values obtained from the Analytical Hierarchy Process, comparing them with a database of known plant-disturbing organisms, and providing accurate diagnoses and management recommendations. The objectives are to determine which method provides the most accurate diagnosis and to explore how these methods can support sustainable agriculture. The combination of Bayes' theorem with Euclidean methods and Bayes' theorem alone achieved an agreement of 8 out of 10 cases with expert diagnoses. In comparison, the Euclidean method alone achieved an agreement of 9 out of 10 cases. The results demonstrate that the Euclidean Probability method offers a more accurate diagnosis, aligning with expert diagnoses in 9 of the 10 case studies, thus supporting its application in sustainable agricultural practices.
EVOLUTION OF RESEARCH AND COMMUNITY SERVICE INFORMATION SYSTEM (SIMPAS LPPM) INSTITUT TEKNOLOGI KALIMANTANKALIMANTAN INSTITUTE OF TECHNOLOGY Azhar, Nur Fajri; Nugroho , Bowo; Alfani Putera, M. Ihsan; Kairupan, Muhammad Nasa'i; Ramadhana, Rizky Irswanda
SPECTA Journal of Technology Vol. 9 No. 2 (2025): Specta Journal of Technology
Publisher : LPPM ITK

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35718/specta.v9i2.1309

Abstract

The Research and Community Service Information System (SIMPAS) at the Institute for Research and Community Service (LPPM) of the Kalimantan Institute of Technology (ITK) has evolved since it was introduced in 2018 to improve efficiency and transparency in managing research and community service activities. This research focuses on the development of SIMPAS through technical updates and the addition of features to meet increasingly complex user needs. This evolution includes updating the system environment using the latest version of Laravel, database refactoring to simplify data processing, and adding features such as account registration using Google email and more flexible user role management. This research uses the Scrum methodology in system development, which allows for continuous improvement and focuses on collaboration between teams. The results of this research are expected to optimize the main business functions of LPPM ITK in the process of submitting proposals, selection, to reporting research and community service results, which in turn supports the achievement of the Tri Dharma of Higher Education and regional development. This research also discusses the integration of the system with other related platforms, as well as the potential use of modern technology to support operational security and efficiency.
Co-Authors Abdul Rasyid Alfani Putera, M. Ihsan Angeline T, Carmelita Arinda, Afriani Maya Cahya, Caroline Adi Catherina, Angela Fadhliana, Nisa Rizqiya Fadillah, Ansar Hoan, Richard Owen Kairupan, Muhammad Nasa'i Kirsan, Aidil Saputra Lestari , Ika M Ihsan Alfani Putera, M Ihsan Alfani Marianta, Arwin Nadhira Rizqana Nur Salsabila Nasa’i Kairupan, Muhammad Nugroho , Bowo Nugroho, Bowo Pratama , Boby Mugi Prihasto, Bima Rajab, Nur Ali Ramadhana, Rizky Irswanda Raphi, Andi Sultan Asharil Riksal, Muh. Zul Ikraam Riska Kurniyanto Abdullah Rusdianto Andarina Syakbani, Ahmad Subekti, Putra Cendikia Syafitri, Syahriah Syakbani, Ahmad Rusdianto Andarina Syam, Andi Muhammad Agung Ramadhani Syamsul Mujahidin, Syamsul Tanujaya, Carmelita Angeline Tegar Palyus Fiqar Wibowo, Darrell Rajendra