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All Journal Abdimas Umtas : Jurnal Pengabdian kepada Masyarakat CSRID ADVANCE INFORMATICS RESEARCH JOURNAL
Dede Syahrul Anwar
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Religion Agriculture, Biological Sciences & Forestry Arts Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Social Sciences

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Empowerment of Posyandu Cadres in Tuguraja Village with Digitalization and Creative Health Innovations Siti Sundari, Shinta; Evi Dewi Sri Mulyani; Teuku Mufizar; Ayu Rahmawati; Agus Supriatman; Rudi Hartono; Cepi Rahmat Hidayat; Dede Syahrul Anwar
ABDIMAS: Jurnal Pengabdian Masyarakat Vol. 8 No. 1 (2025): ABDIMAS UMTAS: Jurnal Pengabdian Kepada Masyarakat
Publisher : LPPM Universitas Muhammadiyah Tasikmalaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35568/abdimas.v8i1.5587

Abstract

One type of community-based health initiative that are planed and organized from, by, for and with the community is called Posyandu. The involvement of cadres is also essential to the success of Posyandu operations, they are responsible for establishing a connection between the community and health professionals or specialist  and helping to assisting and identify health needs. Cadres are also required to be able to provide information for health institutions that may not be able to reach the community directly, especially regarding Toddlers and the Elderly. With the development of technology towards digital, where the data management process is already based on Information Systems, it can provide ideas for cadres to use information systems as a tool to help their activity processes. The problems faced by cadres today are the lack of understanding regarding the use of digitalization as a medium for managing data and how to operate and maintain it. Meanwhile, in its current development, all stakeholders involved with Posyandu are already using the application. so we want to provide direct training regarding application use and maintenance, by conducting interviews and observations first . The results of the activities that have been carried out obtained results that with socialization and training regarding the importance of innovation with digitalization in posyandu services, they were able to understand and implement what was conveyed by the PKM team and could be realized optimally
PENERAPAN DATA MINING CLASSIFICATION UNTUK PENENTUAN JENIS BANTUAN SOSIAL MENGGUNAKAN METODE NAÏVE BAYES CLASSIFIER Shinta Siti Sundari; Evi Dewi Sri Mulyani; Cepy Rahmat Hidayat; Dede Syahrul Anwar; Teuku Mufizar
CSRID (Computer Science Research and Its Development Journal) Vol. 16 No. 1 (2024): February 2024
Publisher : LPPM Universitas Potensi Utama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22303/csrid-.16.1.2024.13-24

Abstract

The social assistance program is a program held by the government as an effort to overcome poverty. Mekarjaya Village is one of the villages running the program. In carrying out this social assistance process, there are obstacles in terms of collecting data on its citizens because there are often discrepancies in the recipient data collected by the community with the type of assistance. To make it easier to determine the appropriate type of social assistance, an analysis of the data on the recipients of the social assistance is needed. The data analysis method in this research uses Data Mining including Data Selection and Preprocessing, while the classification method uses the Naïve Bayes Classifier. Testing using the Confusion Matrix produces an accuracy of 94.53% with a comparison of training data and testing 80:20. With this model, it is hoped that village officials can determine the type of social assistance that is appropriate for the community.
SENTIMENT ANALYSIS OF THE ENGLISH LEARNING YOUTUBE CHANNEL FOR TOEFL STUDY RECOMMENDATIONS USING THE SVM METHOD Gani Adi Alzani Rusandi; Dede Syahrul Anwar; Rudi Hartono
ADVANCE INFORMATICS RESEARCH JOURNAL Vol. 1 No. 1 (2025): Advanced Informatics Research
Publisher : ADVANCE INFORMATICS RESEARCH JOURNAL

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Abstract

The use of social media in Indonesia is not only for entertainment but also as a means of education. YouTube, as one of the most popular sites in the world, is used for learning including TOEFL exam preparation. Tasikmalaya University of Struggle students often have difficulty choosing appropriate learning resources among the many English learning channels such as Andrian Permadi, Yanto Tanjung, and Rumah Smart English. This research aims to overcome this problem by analyzing the sentiment of YouTube users' comments on these channels using the Support Vector Machine method. The research stages include collecting comment data, data preprocessing, data labeling, and training the Support Vector Machine model for sentiment analysis. The research results show that the Yanto Tanjung channel got the highest accuracy score of 84%, making it the best choice for TOEFL preparation. The Andrian Permadi channel achieved 80% accuracy, and the Rumah Smart English channel achieved 75% accuracy. The contribution of this research is to provide recommendations based on sentiment analysis to help students choose appropriate YouTube channels for learning English, thereby maximizing their preparation for the TOEFL exam.
Co-Authors Agus Supriatman Ayu Rahmawati Cepi Rahmat Hidayat Cepy Rahmat Hidayat Evi Dewi Sri Mulyani Gani Adi Alzani Rusandi Rudi Hartono Shinta Siti Sundari Teuku Mufizar