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All Journal Aptisi Transactions on Technopreneurship (ATT) Jurnal Minfo Polgan (JMP) Knowbase : International Journal of Knowledge in Database
Parewe, Andi Maulidinnawati Abdul Kadir
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Humanities Computer Science & IT Economics, Econometrics & Finance Education Library & Information Science Mathematics Social Sciences

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Application of Case Based Reasoning Using The K-Nearest Neighbor Algorithm in an Expert System for Diagnosing Pests and Diseases of Sugarcane Plants Parewe, Andi Maulidinnawati Abdul Kadir; Mursalim, Mursalim; Putri, Titis Sari; Hermawati, Hermawati
Knowbase : International Journal of Knowledge in Database Vol. 2 No. 2 (2022): December 2022
Publisher : Universitas Islam Negeri Sjech M. Djamil Djambek Bukittinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30983/knowbase.v2i2.5959

Abstract

Sugarcane pests and diseases are still diagnosed manually, which can lead to errors such as data loss or inaccurate data. The goal of this research is to develop an expert system for identifying plant pests and diseases that affect sugarcane yield and quality. This data was obtained through literature study, observation, and interviews. The Case Based Reasoning method is used to find cases by comparing previous cases with recent cases using similarity calculations with the K-Nearest Neighbor algorithm to find the best solution from the identified cases. The results of this study indicate that the expert system for diagnosing sugarcane pests and diseases is easy to use, the appearance is easy to reach, and the diagnostic process does not take a long time. Based on testing the accuracy of the system to diagnose according to the expert's mind, it got an accuracy of 96% from 50 cases tested with the system and got a percentage result of 87.33% from 10 respondents including very feasible criteria.
Penerapan Kecerdasan Buatan Pada Chatbot WhatsApp Sebagai Asisten Belajar Virtual Andis, Andis; Pasnur, Pasnur; Sumardin, Andi; Arafah, Muhammad; Maslihatin, Tatik; Ilham, Ilham; Parewe, Andi Maulidinnawati Abdul Kadir; Sabir, Fitriana M.; Nurzaenab, Nurzaenab
Jurnal Minfo Polgan Vol. 13 No. 1 (2024): Artikel Penelitian
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/jmp.v13i1.13872

Abstract

ChatGPT merupakan salah satu aplikasi artificial intelligence generative yang sangat populer saat ini. ChatGPT memiliki versi gratis dan premium. ChatGPT versi gratis sangat diminati karena dapat digunakan tanpa mengeluarkan biaya berlangganan. Akan tetapi, ChatGPT versi gratis memiliki keterbatasan, yaitu tidak mampu menjawab pertanyaan yang terkait dengan data setelah bulan September 2021. Hal tersebut akan mengurangi efektivitas ChatGPT apabila diimplementasikan sebagai asisten belajar virtual. Penelitian ini bertujuan untuk mengimplementasikan kecerdasan buatan pada chatbot WhatsApp sebagai asisten belajar virtual. Penelitian ini mengusulkan perluasan Application Programming Interface (API) OpenAI dengan menggunakan teknik web scraping, sehingga mampu menemukan data terbaru yang tidak dapat ditemukan oleh ChatGPT versi gratis. Hasil penelitian menunjukkan bahwa metode dan sistem yang diusulkan mampu menjawab pertanyaan dengan baik termasuk pertanyaan yang terkait dengan data setelah bulan September 2021. Waktu rata-rata yang diperlukan oleh sistem usulan untuk menjawab pertanyaan adalah 20 detik. Hasil penelitian ini menunjukkan bahwa sistem usulan layak untuk diimplementasikan sebagai asisten belajar virtual.
Application of Case Based Reasoning Using The K-Nearest Neighbor Algorithm in an Expert System for Diagnosing Pests and Diseases of Sugarcane Plants Parewe, Andi Maulidinnawati Abdul Kadir; Mursalim, Mursalim; Putri, Titis Sari; Hermawati, Hermawati
Knowbase : International Journal of Knowledge in Database Vol. 2 No. 2 (2022): December 2022
Publisher : Universitas Islam Negeri Sjech M. Djamil Djambek Bukittinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30983/knowbase.v2i2.5959

Abstract

Sugarcane pests and diseases are still diagnosed manually, which can lead to errors such as data loss or inaccurate data. The goal of this research is to develop an expert system for identifying plant pests and diseases that affect sugarcane yield and quality. This data was obtained through literature study, observation, and interviews. The Case Based Reasoning method is used to find cases by comparing previous cases with recent cases using similarity calculations with the K-Nearest Neighbor algorithm to find the best solution from the identified cases. The results of this study indicate that the expert system for diagnosing sugarcane pests and diseases is easy to use, the appearance is easy to reach, and the diagnostic process does not take a long time. Based on testing the accuracy of the system to diagnose according to the expert's mind, it got an accuracy of 96% from 50 cases tested with the system and got a percentage result of 87.33% from 10 respondents including very feasible criteria.
Virtual Tour Web System as a Guide and Entrepreneurial Tool for Tourism in Selayar Mustika, Nur; Suhaeb, Sutarsi; Mirfan, Mirfan; Aman, Andryanto; Parewe, Andi Maulidinnawati Abdul Kadir; Lachlan, Nicholas
Aptisi Transactions On Technopreneurship (ATT) Vol 7 No 2 (2025): July
Publisher : Pandawan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/att.v7i2.574

Abstract

This research aims to explore the use of virtual tour web systems as an innovation in developing the tourism sector in the Selayar Islands Regency, highlighting the potential of tourist destinations in the area. Using a Research and Development (R&D) method with an Interactive Multimedia System Design & Development (IMSDD) approach, this research produced an interactive system that allows users to explore tourist sites virtually. The system includes 360-degree panoramas, videos, maps, and tourist information. 34 respondents were involved in evaluating the system using the USE Questionnaire, focusing on three dimensions: Usability, Satisfaction, and Ease of Use. The results showed that the system was highly appreciated, with an average feasibility score of 81%, indicating that the Virtual Tour system is very feasible and suitable for promoting regional tourism as well as providing guidance for tourists to get to know more about tourist destinations virtually. These findings suggest that Virtual Tour technology can be an effective tool in enhancing tourism marketing, especially in post-pandemic times when physical travel is limited.
Co-Authors Aman, Andryanto Andi Sumardin, Andi Andis, Andis Hermawati Hermawati, Hermawati Ilham Ilham Lachlan, Nicholas Maslihatin, Tatik Muhammad Arafah Mursalim Mursalim Mustika, Nur NURZAENAB, NURZAENAB Pasnur Pasnur Sabir, Fitriana M. suhaeb, Sutarsi Titis Sari Putri