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All Journal International Journal of Information Technology and Computer Science Applications (IJITCSA) Journal of Informatics and Information Security
Khairunnisa Fadhilla Ramdhania
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Computer Science & IT Decision Sciences, Operations Research & Management Education Engineering

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Penerapan Metode SAW untuk Pemilihan Siswa Terbaik pada SMPN 266 Jakarta Berbasis Web Afnan Dwi Astuti; Khairunnisa Fadhilla Ramdhania; Dani Yusuf
Journal of Informatic and Information Security Vol. 4 No. 1 (2023): Juni 2023
Publisher : Program Studi Informatika, Fakultas Ilmu Komputer Universitas Bhayangkara Jakarta Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31599/98w8tj02

Abstract

In this study, the author aims to build a website-based decision support system for selecting the best student at SMPN 266 Jakarta. For this reason, the selection of the best students not only has good academic scores, but can be supported by non-academic scores. In the process of determining the best students at SMP Negeri 266 Jakarta, it is still done manually using only report cards, so that the data processing process can take a long time and there is a risk of errors in the assessment process. The method that the author uses is the Simple Additive Weighting (SAW) method, the concept of the SAW method is to determine the weight value for each attribute, then proceed with a ranking process to determine the best alternative. There are four criteria that the author uses, namely Mid-Semester Assessment (PTS), Final Semester Assessment (PAS), Extracurricular and Attendance. The use of a Decision Support System (DSS) is expected to assist decisions made in selecting and determining who is the best student, considering that so far it has not used a certain method in selecting students, so that sometimes decisions are considered less precise and effective. The system is made using Hypertext Preprocessor (PHP) as a programming language with a MySQL database. The final result obtained, this system can produce output in the form of a report on the list of the best prospective students along with the value calculated using the SAW method.  
Sistem Informasi Pengarsipan Surat Masuk dan Keluar dengan Algoritma Sequential Search di Kelurahan Bahagia Mugiarso; Tri Furkan Sarjono Aji; Khairunnisa Fadhilla Ramdhania
Journal of Informatic and Information Security Vol. 3 No. 1 (2022): Juni 2022
Publisher : Program Studi Informatika, Fakultas Ilmu Komputer Universitas Bhayangkara Jakarta Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31599/6peysq52

Abstract

In Kelurahan Bahagia, there are problems in managing archives, especially archiving incoming and outgoing letters, precisely in the search and presentation of mail information, often experiencing delays and difficulties in finding the archives of the letters. This study aims to assist Kelurahan Bahagia in overcoming the problem of mail archives, by designing and developing an information system for archiving incoming and outgoing mail using the Rapid Applciation Development (RAD) method and using a sequential search algorithm to help find mail information faster and easier. The result of this research is an information system for archiving incoming and outgoing mail that can help overcome the problem of filing letters in Kelurahan Bahagia.
Comparative Analysis of K-Means and Hierarchical Clustering for Regional Welfare Disparity Identification in West Java Province Muhamad Dani Yusuf; Tb Ai Munandar; Khairunnisa Fadhilla Ramdhania
International Journal of Information Technology and Computer Science Applications Vol. 3 No. 3 (2025): September - December 2025
Publisher : Jejaring Penelitian dan Pengabdian Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58776/ijitcsa.v3i3.213

Abstract

This study aims to cluster regencies/cities in West Java Province based on public welfare indicators using the K-Means Clustering and Hierarchical Clustering methods. The data used includes health, economic, population density, and average length of schooling indicators in 2023. Cluster quality evaluation was performed using the silhouette score. The results show that K-Means Clustering with five clusters yields the highest silhouette score of 0.219. For comparison, Hierarchical Clustering with the Ward Linkage method and eight clusters was chosen, having a silhouette score of 0.202, which is the largest among other Hierarchical Clustering methods. The identification of each cluster's characteristics in K-Means reveals areas with multidimensional challenges (Cluster 1), industrial areas with unemployment issues (Cluster 2), areas with high stunting prevalence despite good access to basic facilities (Cluster 3), densely populated urban areas with good welfare but high unemployment (Cluster 4), and areas with very high health complaints and low welfare (Cluster 5). K-Means clusters (except Cluster 4) tend to have a low average length of schooling, below 12 years. Consistency in cluster patterns was found between K-Means and Ward Linkage, especially in advanced urban areas and areas with multidimensional welfare challenges in southern West Java. These findings are expected to serve as a reference for the government and policymakers in formulating more targeted and effective development strategies.
Co-Authors Afnan Dwi Astuti Dani Yusuf Mugiarso Muhamad Dani Yusuf Tb Ai Munandar Tri Furkan Sarjono Aji