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All Journal Journal of Artificial Intelligence and Engineering Applications (JAIEA) Ihsanika : Jurnal Pendidikan Agama Islam
Hanifah Nur Aulia
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Religion Automotive Engineering Computer Science & IT Control & Systems Engineering Education

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Transformasi Dakwah : Pengaruh Perkembangan Zaman dalam Strategi Penyebaran Agama di Lingkungan Masyarakat Hanifah Nur Aulia; Karina Aulia Putri; Marfa Azzahra Tyara Latifa; Nadya Amelia Putri Firman
IHSANIKA : Jurnal Pendidikan Agama Islam Vol. 2 No. 4 (2024): Desember : IHSANIKA : Jurnal Pendidikan Agama Islam
Publisher : STIKes Ibnu Sina Ajibarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59841/ihsanika.v2i4.1977

Abstract

Da'wah is a very essential part of a Muslim's life, where its essence lies in motivation, stimulation and guidance for others to accept the teachings of the Islamic religion with full awareness for their own benefit and not for the benefit of those who invite them. In an era that continues to develop, it influences challenges in preaching. Technological and environmental developments are the main factors in influencing the problems that occur in da'wah. In this modern era, social media and the internet are often used in everyday life. With this technology, there is a new opportunity for preachers to spread the teachings of the Islamic religion. However, this opportunity also poses challenges for preachers, such as poorly controlled information and the spread of information that is contrary to the truth. It is important for preachers to develop appropriate strategies and methods in delivering preaching material, adapting to using technology. Apart from technology, the environment influences people's views on preaching. People tend to think critically in receiving information about Islamic teachings. Therefore, preachers must have a strong understanding of social issues so that preaching runs smoothly. The strategies used by preachers must be clear and easy for the audience to understand. By adapting to the times, society really needs da'wah to provide benefits and solutions for life.
Improving the School Type Clustering Model on the Foundation Using the K-Means Algorithm (Case Study: Kebon Kelapa Al-Ma'rifah, Cirebon Regency) Hanifah Nur Aulia; Martanto; Arif Rinaldi Dikananda; Mulyawan
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 4 No. 2 (2025): February 2025
Publisher : Yayasan Kita Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59934/jaiea.v4i2.739

Abstract

This study aims to improve the school type grouping model at the Kebon Kelapa Al-Ma'rifah Foundation, Cirebon Regency, using the K-Means algorithm. Data-based grouping is very important in supporting efficient education management, especially in environments that have various types of schools such as Madrasah Aliyah (MA), Vocational High School (SMK), Madrasah Tsanawiyah (MTs), and Madrasah Ibtidaiyah (MI). The data used comes from the New Student Registration (PPDB) dataset for the 2023–2024 school year, with demographic attributes such as name, place of birth, gender, and time of school entry. The evaluation of clustering quality was carried out using the Davies-Bouldin Index (DBI) to determine the optimal number of clusters. The results show that the optimal number of clusters is K=5 with the lowest DBI value of 0.201, which results in compact and well-separated clusters. The implementation of the K-Means algorithm helps the foundation understand the distribution pattern of students based on attributes such as gender, region, and entry time. This research provides practical benefits, including more targeted resource allocation, improved quality of education, and efficiency in school management. In addition, this research contributes to the development of data mining models in the education sector and opens up opportunities for the exploration of additional attributes such as academic achievement and socioeconomic conditions. Further research is suggested to use alternative algorithms such as K-Medoids or DBSCAN.
Co-Authors Arif Rinaldi Dikananda Karina Aulia Putri Marfa Azzahra Tyara Latifa Martanto Mulyawan Nadya Amelia Putri Firman