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All Journal Nuansa Informatika AMMA : Jurnal Pengabdian Masyarakat
Abdul Mukhyidin
STMIK IKMI Cirebon
Humanities Chemistry Computer Science & IT Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Nursing

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USING K-MEANS FOR DISTRICT-CITY POVERTY CLUSTERING IN INDONESIA Abdul Mukhyidin; Ahmad Faqih; Ade Rizki Rinald
NUANSA INFORMATIKA Vol. 19 No. 1 (2025): Nuansa Informatika 19.1 Januari 2025
Publisher : FKOM UNIKU

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25134/ilkom.v19i1.300

Abstract

Poverty is one of the main challenges faced by the government in its efforts to improve people's welfare. Identifying regions based on the poverty line level is an important step to ensure well-targeted interventions. This study aims to categorize districts/cities based on poverty levels using the K-Means Algorithm, so that it can be a guide in data-based policy making. The research method starts with data collection, data selection process to handle missing values using the replacement method. Determination of the optimal number of clusters was done using Within Sum of Squares (WSS) to ensure that each region was grouped into clusters based on their level of similarity, which showed that three clusters were the ideal number. An evaluation of the clustering results was conducted to ensure the stability and accuracy of the clustering. The results show that the districts/municipalities are divided into three clusters based on the poverty line level, namely cluster 0 with a high poverty line level (241 regions), cluster 1 with a medium poverty line level (247 regions), and cluster 2 with a low poverty line level (90 regions). This study concludes that the K-Means Algorithm is effective in clustering regions based on poverty levels, providing a strong basis for data-driven decision-making. Future research is recommended to use more diverse data and cover more indicators, such as education level, access to health services, or infrastructure quality.
Peningkatan Kompetensi Guru melalui Pelatihan Google Workspace dalam Pembelajaran Digital Tati Suprapti; Umi Hayati; Abdul Hakim; Abdul Mukhyidin
AMMA : Jurnal Pengabdian Masyarakat Vol. 1 No. 04 (2022): AMMA : Jurnal Pengabdian Masyarakat
Publisher : CV. Multi Kreasi Media

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The development of information and communication technology (ICT) requires the world of education to adapt, especially in the learning process. Teachers as the frontline in education must have competence in utilizing ICT, one of which is through the use of Google Workspace. This study aims to improve teachers' competence in utilizing Google Workspace through training activities. The method used is training with a participatory approach and hands-on practice. This activity was carried out in the form of workshops attended by teachers from various levels of education, focusing on the utilization of Google applications such as Google Classroom, Google Drive, Google Docs, and Google Meet. The results of the activity show an increase in teachers' understanding and skills in operating Google Workspace, which has an impact on increasing the effectiveness of online and offline learning. This training also encourages teachers to be more creative in preparing teaching materials, managing digital classes, and building better interactions with students. The conclusion of this activity is that training on the use of Google Workspace is effective in improving teacher competence in the use of learning technology. It is expected that similar activities can be carried out in a sustainable manner to support digital transformation in education.
Co-Authors Abdul Hakim Ade Rizki Rinald Ahmad Faqih Tati Suprapti Umi Hayati