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All Journal Jurnal Sains dan Teknologi JOIV : International Journal on Informatics Visualization Sinkron : Jurnal dan Penelitian Teknik Informatika JURTEKSI EXPLORE Jurnal Teknologi Informasi dan Pendidikan Jurnal Teknologi Dan Sistem Informasi Bisnis Jurnal Informasi dan Teknologi Jurnal Informatika Ekonomi Bisnis Journal of Computer Scine and Information Technology Jurnal Ipteks Terapan : research of applied science and education Jurnal Sains Informatika Terapan (JSIT) EXPLORE Jurnal Komtekinfo Jurnal Teknologi Jurnal Informatika Ekonomi Bisnis JENTIK Jurnal Teknik dan teknologi tepat guna
Marfalino, Hari
Universitas Putra Indonesia YPTK Padang
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Sistem Pakar Identifikasi Hama dan Penyakit Tanaman Menggunakan Metode Certainty Factor dan Forward Chaining Firdaus; Marfalino, Hari; Akhiyar, Dinul
Jurnal Sains Informatika Terapan Vol. 5 No. 1 (2026): Jurnal Sains Informatika Terapan (Februari, 2026)
Publisher : Riset Sinergi Indonesia (RISINDO)

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Abstract

Hama dan penyakit tanaman merupakan salah satu permasalahan utama yang dapat menurunkan produktivitas dan kualitas hasil pertanian. Keterbatasan pengetahuan petani dalam mengidentifikasi jenis hama dan penyakit berdasarkan gejala yang muncul sering menyebabkan penanganan yang kurang tepat. Penelitian ini bertujuan untuk merancang dan membangun sistem pakar yang mampu mengidentifikasi hama dan penyakit tanaman berdasarkan gejala yang dialami tanaman. Sistem pakar dikembangkan menggunakan metode Forward Chaining sebagai mekanisme penelusuran aturan dan metode Certainty Factor untuk menghitung tingkat keyakinan diagnosis berdasarkan kombinasi nilai keyakinan pakar dan pengguna. Data pengetahuan diperoleh dari aturan yang menghubungkan gejala dengan jenis hama atau penyakit tertentu. Hasil pengujian menunjukkan bahwa sistem mampu memberikan diagnosis hama dan penyakit tanaman beserta tingkat kepastian dan rekomendasi solusi secara informatif. Sistem ini diharapkan dapat membantu pengguna, khususnya petani, dalam melakukan identifikasi awal hama dan penyakit tanaman secara cepat dan akurat sebagai dasar pengambilan keputusan penanganan.
Application of an Expert System with the Breadth First Search (BFS) Method in Diagnosing Areca Plant Diseases Ferry Juliandri Pane; Eva Rianti; Hari Marfalino
Journal of Computer Scine and Information Technology Volume 10 Issue 2 (2024): JCSITech
Publisher : Universitas Putra Indonesia YPTK Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35134/jcsitech.v10i2.102

Abstract

Current technological developments are growing very quickly and have produced a lot of software or systems that can make things easier for humans. Continuous scientific progress drives extensive technological development. One form of information technology known is an information system. One popular type of information system is an expert system, which can be used to improve various services. An expert system is a program that combines human knowledge into a computer to help solve problems that are usually solved by experts. This research aims to identify gaps in research that has been conducted, as well as encourage the development of new ideas and increase capabilities in utilizing existing research resources. Areca nut is a high agricultural resource so it has many benefits in the pharmaceutical industry. . The method that will be used in this research is Breadth First Search (BFS). The algorithm carries out the search process on all nodes that are at the same level or hierarchy one by one. An algorithm that performs a wide search that visits nodes in preorder, that is, visits a node first. There are 16 data on areca plant diseases here and have 33 symptoms which will be processed using the Breadth First Search Method. By diagnosing areca plant diseases using an expert system, it is hoped that we can find more in-depth information about diseases in areca palm trees.
Design of Expert System for Identification of Learning Modalities and Multiple Intelligences in Students with Fuzzy Logic Method Nova Fatmasari; Eva Rianti; Hari Marfalino
Journal of Computer Scine and Information Technology Volume 10 Issue 4 (2024): JCSITech
Publisher : Universitas Putra Indonesia YPTK Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35134/jcsitech.v10i4.110

Abstract

Multiple intelligences and learning modalities possessed by each student need to be considered by teachers. Because to maximize the learning process, both of these things are needed. However, this is often ignored by teachers. The learning process that is carried out only focuses on single intelligence and learning methods that focus on paying attention to the teacher explaining the material. This method certainly causes the learning process to be less than optimal. therefore , an expert system is needed that can help teachers and students know this. The expert system that will be processed takes knowledge from the Guidance and Counseling teacher of SMAN 15 Padang using the Fuzzy Logic Tsukamoto method. This expert system is processed using the Visual Basic.Net programming language, this expert system can identify 4 types of multiple intelligences, namely linguistics, mathematical logic, music and intrapersonal and also the learning modalities possessed by each student with predetermined rules. The results of the expert system can help teachers and students in improving the learning process. With this system, it can help schools, especially Guidance and Counseling teachers, in identifying the types of learning and multiple intelligences possessed by each student. So that it can develop and provide solutions for developing student abilities.
Penerapan Metode Multi-Objective Optimization on the Basis of Ratio Analysis (MOORA) dalam Penentuan Menu Terfavorit di Sero Caffe Pasrah Surya Babega; Hari Marfalino
Jurnal Sains Informatika Terapan Vol. 5 No. 2 (2026): Jurnal Sains Informatika Terapan (Juni, 2026)
Publisher : Riset Sinergi Indonesia (RISINDO)

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Abstract

This study discusses the application of the Multi-Objective Optimization on the Basis of Ratio Analysis (MOORA) method in a mobile-based Decision Support System to determine the most favorite menu at Sero Caffe. The problem faced is that the process of determining the best menu is still subjective and has not been supported by structured data analysis. This study aims to design a system that can assist management in making objective decisions based on several evaluation criteria, namely taste, price, popularity, and health. The data were obtained from customer evaluations of the available menus and then processed using the MOORA method stages, including the construction of the decision matrix, normalization, weighting, and ranking of alternatives. The results show that the developed decision support system is able to provide accurate and systematic recommendations for the most favorite menu, thereby improving the effectiveness of decision making and supporting business strategy development at Sero Caffe.
Co-Authors -, Mardison Agung, Maharian Assuary, Mutiara Fernandes Aulia Fitrul Hadi Azlina Mega Sari Defit , Sarjon Devi Gusmita Dinda Djesmedi Dinul Akhiyar Djesmedi, Dinda Eva Rianti Febria Sylvana Ferry Juliandri Pane Filresi, Afandi Iddil Firdalius, Fitri Firdaus Firna Yenila Fitri Firdalius Gema, Rima Liana Gunadi Widi Nurcahyo Guslendra Guslendra Guslendra Guslendra Guslendra Hadi, Aulia Fitrul Hanum, Luthfia Harkamsyah Andrianof Huriyyah Hana, Riri Ichsan Pribadi Irzal Arief Wisky Juneri, Gladio Larissa Navia Rani Larissa Rani Mardison Mellya Rindhani Aditia Mutiana Pratiwi Nova Fatmasari Novita, Triana Pasrah Surya Babega Pratiwi, Mutiana Pribadi, Ichsan Putri Asysyura Yuska Ramadhanu, Agung - Randi Rani, Larissa Navia Rianti, Eva Ritna Wahyuni Roni, Giovan Septiyan Roni Safitri, Mesa Sarjon Defit Silfia Andini Sofika Enggari Suci Wahyuni Surmayanti Surmayanti, Surmayanti Syafri Arlis Sylvana, Febria Triana Novita Trisna, Novi Wahyu Muri Hartika Yenila, Firna Yogi Wiyandra