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All Journal Jurnal Informatika Global Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika)
Aji, Briyan Gifari
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Computer Science & IT Decision Sciences, Operations Research & Management

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Perancangan Sistem Informasi Posyandu Berbasis Web Dengan Metode Extreme Programming Pada Desa Candinata Aji, Briyan Gifari; Prasetyo, Muhamad Awiet Wiedanto
Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Vol 9, No 1 (2024): Edisi Februari
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/jurasik.v9i1.716

Abstract

The advancement of information technology in information systems is increasing, encouraging the need for solutions to meet the needs of accurate, concise and up-to-date information. Information systems are the main means for the community and various agencies to obtain the necessary information. In the health sector, the Integrated Service Post (Posyandu) is one of the important programs to reduce maternal and infant mortality. Posyandu Melati in Candinata Village, as part of the program, faces challenges in the manual recording of under-five data. The recording process involves a number of complex steps in taking measurements that slow down the dissemination of information to parents of children under five. This study aims to design an information system that can assist cadres in performing their duties, namely recording and processing toddler data. This study proposes the development of a web-based Posyandu information system using the Extreme Programming Method in Candinata Village. Extreme Programming Method was chosen to ensure effective communication, simple coding, and responsiveness to feedback. The results showed that the use of XP successfully designed the system quickly and involved a small team. The results of feature testing using the Black Box Testing method show that the system has been validated and in accordance with the desired needs.
Penerapan Algoritma K-Means Untuk Clustering Harga Rumah Di Bandung Aji, Briyan Gifari; Sondawa, Dwi Chandra Aditya; Gifari, Muhammad Rifky; Wijayanto, Sena
Jurnal Ilmiah Informatika Global Vol. 14 No. 2
Publisher : UNIVERSITAS INDO GLOBAL MANDIRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36982/jiig.v14i2.3189

Abstract

The need for shelter is one of the fundamental aspects of daily life for humans. A house serves not only as a place to seek protection and rest but also as a venue for socializing with family. One of the factors influencing the decision in choosing a house is its price. House prices vary in each region, depending on factors such as location and other attributes. In major cities like Bandung, house prices differ based on their categories. However, many people still find it challenging to determine the value and discern whether a house is classified as affordable or expensive. Hence, there is a need for a clustering process of house prices in Bandung to aid in comprehending and categorizing house prices based on attributes such as the house price, total building area, and total land area. To understand and analyze the patterns of house prices in Bandung, this study utilizes the K-Means method to cluster the house price data into several groups based on their similarity in attributes. Additionally, the research aims to determine the optimal number of clusters through the cluster validation process using the silhouette index. The findings show that when using n_cluster=2, a silhouette score of 0.8870 is obtained, and with n_cluster=3, the silhouette score is 0.8009. These results indicate that clustering with n_cluster=2 and n_cluster=3 both exhibit strong interpretative structures. Thus, the clustering of house prices in Bandung can be effectively grouped into 2 clusters, as evidenced by the higher silhouette score obtained with n_cluster=2, approaching 1 compared to n_cluster=3.
Co-Authors Gifari, Muhammad Rifky Muhamad Awiet Wiedanto Prasetyo Sondawa, Dwi Chandra Aditya