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Perancangan Sistem Informasi Penerimaan Peserta Didik Baru (PPDB) Pada Tingkat MTs Supriyanto; Basiroh; Rifqi Fauzi Rahmadzani
Jurnal RESTIKOM : Riset Teknik Informatika dan Komputer Vol 6 No 2 (2024): Agustus 2024
Publisher : Program Studi Teknik Informatika Universitas Nusa Putra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52005/restikom.v6i2.333

Abstract

The design of the MTs New Student Admission Information System is currently still carried out manually in the process of accepting prospective new students and creating reports on new student acceptance activities. The aim of this research is to design an MTs New Student Admission Information System that can assist the committee in the process of accepting prospective new students and producing reports on new student acceptance activities. The research methodology directly uses direct observation and interviews and uses literature documents. Materials and research material in the form of information on registrant data, charter data, and PPDB selection data. This system consists of several elements, namely master data, PPDB data, reports, tools, and help which are created and processed with Microsoft Visual Foxpro 9.0, with storage and results research in the form of an MTs New Student Admission Information System. With this system, it can be used as an alternative in order to simplify the process of accepting prospective new students and preparing reports on activities for accepting new students quickly, easily and accurately..
Analysis of Implementation AHP Algorithm as a Decision Support System for the Feasibility of Rehabilitating Low-Income Residents' Houses: Implementasi Algoritma AHP Sebagai Sistem Pendukung Keputusan Kelayakan Rehabilitasi Rumah Warga Berpenghasilan Rendah Basiroh Basiroh; Widya Novita Al Afifah Irwanto
RADIANT: Journal of Applied, Social, and Education Studies Vol. 7 No. 1 (2026): RADIANT: Journal of Applied, Social, and Education Studies
Publisher : Politeknik Assalaam Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52187/rdt.v7i1.381

Abstract

The availability of decent housing is one of the important indicators in improving the quality of life of the community, especially for residents with low incomes. In practice, the process of determining the eligibility of recipients of housing rehabilitation assistance is often still done manually and subjectively, thus potentially causing inaccuracy and injustice in decision making. The initiative stems from the growing need for systematic and objective tools to support government and social institutions in identifying eligible households for housing rehabilitation programs. In addressing this need, the Analytical Hierarchy Process (AHP) method is employed as a core decision-making framework within the DSS due to its strength in handling complex decision problems involving multiple criteria. The system incorporates various assessment criteria, including household income, structural condition of the house, number of dependents, ownership status, and age of the building. These criteria are structured hierarchically, and their relative importance is determined through pairwise comparisons facilitated by AHP. By applying this method, the system is capable of producing a weighted score for each applicant, thus enabling decision-makers to prioritize assistance based on quantifiable and transparent factors. The research includes both qualitative and quantitative analysis, starting from needs assessment, system requirement analysis, and user interface design, to the implementation of the AHP algorithm within the DSS. Results from case studies and prototype testing demonstrate that the system improves the accuracy and fairness of housing rehabilitation assessments compared to conventional manual evaluations. Moreover, it offers a user-friendly interface for stakeholders with varying technical backgrounds. In conclusion, the integration of AHP in the proposed DSS provides a reliable and scalable solution to support equitable housing policy decisions. Future developments may include integration with GIS for location-based analysis and mobile accessibility for field surveys