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PERKAWINAN DIBAWAH UMUR MENURUT HUKUM POSITIF DI INDONESIA (STUDI KASUS DI KECAMATAN TAMANSARI) himmah, fiina; Gunadi
Ahwaluna | Jurnal Hukum Keluarga Islam Vol 7 No 2 (2025): September, 2025
Publisher : Program Studi Hukum Keluarga Islam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70143/ahwalunajurnalhukumkeluargaislam.v6i2.534

Abstract

Underage marriage is a marriage between a man and a woman who have not reached the minimum age of 19, as stipulated in Indonesian law. Generally, the couple is not yet physically, mentally, and emotionally mature. This phenomenon remains widespread in Indonesia and has various negative impacts. This study aims to identify the factors causing underage marriage in Tamansari District and its impacts. The method used is descriptive qualitative with normative, legal, and sociological approaches, through interviews, literature review, and documentation. The results indicate that the main causes of early marriage include: the child's own wishes, low education, economic factors, environmental factors, and promiscuity. Negative impacts include psychological disorders, early divorce, and economic problems. Keywords: Underage Marriage, Positive Law, Causal Factors
Clustering Junior Schools in Implementing Smart School Using The K-Means in Pekanbaru Nisa, Aida; Anam, M. Khairul; Yenni, Helda; Kudadiri, Parlindungan; Gunadi
Jurnal Sains, Nalar, dan Aplikasi Teknologi Informasi Vol. 3 No. 3 (2024)
Publisher : Department of Informatics Universitas Islam Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20885/snati.v3.i3.40

Abstract

The purpose of this research is to determine the readiness of schools in implementing the Smart School system through various stages. One of the concepts of a Smart City involves integrating information and communication technology into the learning process at every school to create Smart Schools. However, not all schools are ready to implement this technology because it requires suitable technology to support the quality of teaching and learning. Another issue is the absence of information systems that can facilitate administrative tasks and the teaching and learning process. The use of the K-Means method is beneficial for clustering schools based on their stages, characteristics, and readiness to implement the Smart School system. This helps identify schools with the highest level of readiness. This research demonstrates that the use of K-Means can identify school readiness based on the established stages related to the Smart School system. It also can pique students' interest in developing and boosting the school's reputation as the best technology-based school.