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All Journal International Journal of Artificial Intelligence and Robotics (IJAIR) Science Technology and Management Journal (STMJ)
Evita Citra Yustiqomah
Universitas Dian Nuswantoro
Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering

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Expert System for Detecting Diseases of Potatoes of Granola Varieties Using Certainty Factor Method Bonifacius Vicky Indriyono; Moch. Sjamsul Hidajat; Tri Esti Rahayuningtyas; Zudha Pratama; Iffah Irdinawati; Evita Citra Yustiqomah
International Journal of Artificial Intelligence & Robotics (IJAIR) Vol. 4 No. 2 (2022): November 2022
Publisher : Informatics Department-Universitas Dr. Soetomo

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (362.132 KB) | DOI: 10.25139/ijair.v4i2.5312

Abstract

The low productivity of potatoes is caused by many factors, including the very low quality of the seeds used, poor storage, climate, capital, limited farmer knowledge, and attacks by plant-disturbing organisms, especially diseases. Not only that, many farmers are still unfamiliar with the various diseases that can attack potato plants, or their knowledge about potato plant diseases is incomplete. This study aims to design and develop an expert system web-based application technology using the Certainty Factor (CF) method to detect potato disease symptoms. The CF method defines a measure of the capacity of a fact or provision to express the level of an expert's belief in a matter experienced by the concept of belief or trust and distrust or uncertainty contained in the certainty factor. The results showed that the CF method could function optimally in detecting potato plant diseases which can help farmers based on the symptoms that appear with an accuracy value of 94%.
IMPLEMENTASI METODE ANALYTICAL HIERARCHY PROCESS (AHP) DALAM MENDUKUNG KEPUTUSAN PEMILIHAN REKOMENDASI HANDPHONE Evita Citra Yustiqomah; Erba Lutfina; Galuh Wilujeng Saraswati; Wildan Mahmud
Science Technology and Management Journal Vol. 5 No. 2 (2025): Agustus 2025
Publisher : Fakultas Sains dan Teknologi, Universitas Nasional Karangturi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53416/stmj.v5i2.358

Abstract

In the rapidly evolving digital era, the demand for mobile phones is increasing, with a wide range of specifications and price points available. PT. Topsell Raharja Indonesia, as one of the leading mobile phone retailers, faces challenges in providing fast and accurate recommendations that align with the needs of prospective buyers. The manual phone selection process currently used by sales staff often leads to errors in decision-making, resulting in service delays and customer dissatisfaction. Therefore, this study aims to develop a Decision Support System (DSS) based on the Analytical Hierarchy Process (AHP) to assist the store in recommending optimal mobile phones based on specific criteria. The AHP method is utilized to analyze and compare several key criteria—including price, RAM capacity, camera quality, battery life, performance, and design—in order to determine priority rankings for phone selection. The results demonstrate that the proposed system improves the efficiency of recommendations, reduces selection errors, and accelerates the customer service process. The implementation of the AHP method enables objective and accurate suggestions, achieving up to 98% accuracy. By systematically calculating the weight of each criterion, the system generates optimal alternatives tailored to the preferences and needs of prospective buyers
Co-Authors Bonifacius Vicky Indriyono Erba Lutfina Iffah Irdinawati Moch. Sjamsul Hidajat Pratama, Zudha Saraswati, Galuh Wilujeng Tri Esti Rahayuningtyas Wildan Mahmud