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Prevention of Early Marriage in Religious and Health Perspectives in Petangguhan Village Winda Junarda; Vivi Chairani; Novi Lestari; Siti Khadijah Azzahra; Andika Rifandi; Sholihatul Hamidah Daulay
Jurma : Jurnal Program Mahasiswa Kreatif Vol 7 No 2 (2023): DESEMBER 2023
Publisher : LPPM UIKA Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32832/jurma.v7i2.2042

Abstract

The purpose of this study was to find out young people who married at an early age in the village of Petangguhan, and so that in the future there would be no more cases of early marriage in the village of Petaguhan. From a reproductive health point of view, adolescents who marry early will have a greater impact on reproductive health and even psychologically. The method used in this research is a type of qualitative research. The approach in this study uses a sociological approach that is related to one community with another. Primary data sources were obtained directly from the results of research interviews conducted with the health agency in the village of Petangguhan. Data on the dispensation rate for marriage were obtained from the Religious Courts, and some data from the village office, namely the village head who is also the secretary of the village of Petangguhan, Kab. Poor. The results of this study indicate that there are several impacts of early marriage, namely the causes of high maternal and infant mortality, low birth weight, birth injuries, and birth complications that occur in adolescents. prevention of early marriage, they want to carry out a youth posyandu in the village of Petaguhan.
Inventory Information System Using the DBSCAN Clustering Method for Stock Optimization at Mami Fashion Store Winda Junarda; Triase
Jurnal Teknologi Informatika dan Komputer Vol. 12 No. 2 (2026): Jurnal Teknologi Informatika dan Komputer
Publisher : Universitas Mohammad Husni Thamrin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37012/jtik.v12i2.3730

Abstract

Advances in information technology are encouraging retail businesses to manage inventory more effectively and efficiently. Mami Fashion, a clothing retailer, faces challenges in inventory management, such as the accumulation of less-demanded items and the out-of-stock of high-selling products. This study aims to design and build an inventory information system using the DBSCAN (Density-Based Spatial Clustering of Applications with Noise) method to optimize inventory management. The DBSCAN method is used to group sales data based on density and purchasing patterns, thus identifying fast-selling, medium-selling, and slow-selling products, as well as detecting data anomalies. The system was developed web-based to facilitate the process of recording, monitoring, and analyzing inventory in real time. The results show that implementing the DBSCAN method in the inventory system can improve the accuracy of product grouping, assist in procurement decision-making, and reduce the risk of overstock and stockouts. Thus, the system can support operational efficiency and increase the profitability of Mami Fashion.