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All Journal Jurnal ELTIKOM : Jurnal Teknik Elektro, Teknologi Informasi dan Komputer JURNAL INSTEK (Informatika Sains dan Teknologi) Jurnal Tika
Mahara Bengi
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Aerospace Engineering Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering

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Diagnosa Penyakit Bawang Merah Dengan Metode Forward Chaining Dan Backward Chaining Mukti Qamal; Fadlisyah; Mahara Bengi; Mukarramah
Jurnal Tika Vol 7 No 1 (2022): Jurnal Teknik Informatika Aceh
Publisher : Fakultas Ilmu Komputer Universitas Almuslim Bireuen - Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (407.308 KB) | DOI: 10.51179/tika.v7i1.1002

Abstract

Plant diseases are the main enemy of farmers. Many farmers fail to harvest or reduce their agricultural yields because they are not able to properly deal with the diseases that attack their crops. One of the plants that are susceptible to disease is the onion plant. To properly handle the disease that attacks the shallot plant, an agricultural expert is needed. While the number of agricultural experts is limited and unable to deal with the problems of a large number of farmers at the same time, so we need a system that has the capabilities of an agricultural expert, which in this system contains the expertise of an agricultural expert regarding diseases, symptoms and diseases treatment of onion plants. In this study, a Web-based expert system was designed and built using rule-based reasoning with forward chaining and backward chaining inference methods which were intended to assist farmers in diagnosing diseases in shallots, and how to handle them. In this study, forward chaining and backward chaining methods will be compared so that the results will be obtained which method is more suitable for diagnosing a disease. From the results of the comparison analysis of the two methods, it was found that the Forward Chaining method was better and more efficient for diagnosing diseases in shallot plants.
Application of Natural Language Processing and LSTM in A Travel Chatbot for Medan City Atika, Syarifah; Bengi, Mahara; Sardeng, Shekainah Kim A.
Jurnal ELTIKOM : Jurnal Teknik Elektro, Teknologi Informasi dan Komputer Vol. 9 No. 1 (2025)
Publisher : P3M Politeknik Negeri Banjarmasin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31961/eltikom.v9i1.1481

Abstract

The tourism sector plays a vital role in economic growth and regional development. Medan, a major city in North Sumatra, offers rich religious, historical, and cultural attractions. However, fragmented and inconsistent information presents challenges for both tourists and destination managers, often complicating travel planning. To address this issue, this study proposes the development of an AI-based chatbot aimed at enhancing the tourism experience in Medan. By integrating Natural Language Processing (NLP) and Long Short-Term Memory (LSTM), the chatbot is designed to deliver accurate, contextual, and conversational responses tailored to users' tourism-related queries. It was trained on a comprehensive dataset compiled from various sources concerning Medan’s tourism. The training ran over 100 epochs, achieving an accuracy of 84.31% and a loss of 0.7594. Validation testing yielded an accuracy of 77.14% and a loss of 2.4233, indicating good generalization to unseen data. End-to-end testing with 312 queries covering all defined intents resulted in a testing accuracy of 75.64%, confirming the model’s practical effectiveness. The findings demonstrate that the chatbot can accurately interpret user input, classify information, and enhance user interaction. supports the digital transformation of Medan’s tourism sector by introducing a reliable, AI-driven tool for seamless travel planning and engagement.
DEVELOPMENT AND QUALITY VALIDATION OF A WEB-BASED GOODS ORDERING SYSTEM FOR SMALL AND MEDIUM ENTERPRISES USING AGILE METHOD AND ISO/IEC 25010 Nabila Sasgita; Tiko Nurhaliza; Cut Mutia; Fauziah; Wilda Putri Sabila; Mahara Bengi; Pradipta, Rahman
Jurnal INSTEK (Informatika Sains dan Teknologi) Vol 11 No 1 (2026): APRIL
Publisher : Department of Informatics Engineering, Faculty of Science and Technology, Universitas Islam Negeri Alauddin, Makassar, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24252/instek.v11i1.65939

Abstract

Digital transformation in Small and Medium Enterprises (SMEs) requires integrated transaction management systems supported by measurable software quality standards. Manual goods ordering processes in SME operations frequently cause data inconsistencies, calculation errors, and reporting delays. This study aims to develop a web-based goods ordering information system for SME practitioners using a sprint-based Agile methodology and to conduct a quality validation based on the ISO/IEC 25010 model. The system was developed through four iterative sprint cycles over eight weeks with continuous stakeholder feedback. Software quality evaluation covered all eight ISO/IEC 25010 characteristics using measurable instruments. Functional testing across 40 scenarios achieved a 95% success rate. Usability was assessed using the System Usability Scale (SUS) with 30 respondents, yielding a score of 82.3 (Excellent category). Performance efficiency testing showed an average response time below two seconds under up to 50 concurrent users. This study is limited to testing within a controlled local server environment and portability evaluation restricted to two operating systems. The results conclude that integrating Agile development with ISO/IEC 25010 evaluation produces an information system that meets the technical specifications and operational requirements to support digital transaction management in the SME sector.
Co-Authors Cut Mutia Fadlisyah Fauziah Mukarramah Mukti Qamal Nabila Sasgita Pradipta , Rahman Sardeng, Shekainah Kim A. Syarifah Atika Tiko Nurhaliza Wilda Putri Sabila