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All Journal JAIS (Journal of Applied Intelligent System) Jurnal Pengabdian Kepada Masyarakat
Puspa, Silfi Andriana
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Computer Science & IT Economics, Econometrics & Finance Languange, Linguistic, Communication & Media Social Sciences Other

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The Involvement of Local Binary Pattern to Improve the Accuracy of Multi Support Vector-Based Javanese Handwriting Character Recognition Sari, Christy Atika; Sari, Wellia Shinta; Shelomita, Viki Ari; Kusuma, Mohammad Roni; Puspa, Silfi Andriana; Gusta, Muhammad Bima
Journal of Applied Intelligent System Vol. 8 No. 2 (2023): Journal of Applied Intelligent System
Publisher : Universitas Dian Nuswantoro and IndoCEISS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33633/jais.v8i2.8450

Abstract

Indonesia is a country that is rich in cultural diversity. An example of one such variety is the Javanese language. The letters that are usually used in Javanese are non-Latin letters or are usually known as Javanese script. However, along with advances in technology, the Javanese language is increasingly being forgotten. In the past, the Javanese script was used as a subject in schools, aiming for Indonesian students to continue to gain knowledge about the Javanese script. The initial step in the introduction of the Javanese script starts with the preprocessing process by changing the image of the Javanese script from the RGB image to a grayscale image which is then performed feature extraction, where the feature extraction used in this script recognition is texture extraction with the Local Binary Pattern (LBP) algorithm. The results of this processing are obtained information that can be used as a parameter in the Multi Support Vector Machine (SVM) classification to predict Javanese script images. In this study using the LBP method with the Multi SVM Algorithm as a classification algorithm produces a high accuracy of 90% in the recognition of Javanese script, better than using only Multi SVM with an accuracy of 80%.
Peningkatan Daya Jual Produk Anyaman Bambu Desa Kanyoran Kabupaten Kediri Berbasis WEB Hidajat, Sjamsul; Pratama, Zudha; Wibowo, Dibyo Adi; Natanael, David Febrian; Burhanudin, Muhammad; Puspa, Silfi Andriana; Yulianti, Shinta Rachma
Jurnal Pengabdian kepada Masyarakat Vol. 12 No. 1 (2025): JURNAL PENGABDIAN KEPADA MASYARAKAT 2025
Publisher : P3M Politeknik Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33795/abdimas.v12i1.6413

Abstract

This research aims to evaluate the web system training conducted in Kanyoran Village, Kediri Regency, focusing on the development of applications that benefit the community. The issue faced by the villagers is the lack of understanding and skills in utilizing digital technology for marketing their craft products, particularly bamboo weaving. In response to this challenge, the research employs a step-by-step training method, beginning with an introduction to the material and extending to the use of hosting services. Over the course of two days, participants were equipped with practical skills through interactive teaching designed to enhance their knowledge and confidence in using digital applications. The evaluation results indicate that the majority of participants found the training material easy to understand, the developed application useful, and the hosting training sufficiently clear. The questionnaires filled out by participants revealed that 70% of respondents felt motivated to use the application for further marketing. Thus, the training successfully achieved its goal of improving the community's understanding and skills in leveraging digital technology. Recommendations for future activities include extending the training duration and providing more hands-on practice sessions to enhance participants' confidence in using the application, as well as incorporating advanced modules that cover deeper digital marketing strategies
Co-Authors Christy Atika Sari Dibyo Adi Wibowo Gusta, Muhammad Bima Kusuma, Mohammad Roni Moch. Sjamsul Hidajat Muhammad Burhanudin, Muhammad Natanael, David Febrian Pratama, Zudha Shelomita, Viki Ari Wellia Shinta Sari Yulianti, Shinta Rachma