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Balqis Aulia Rahma
Universitas Islam Negeri Syarif Hidayatullah Jakarta, Jakarta
Computer Science & IT

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Analisis dan Perancangan Sistem Informasi Pendaftaran Magang Berbasis Web di Sektor Pemerintahan Menggunakan Metode RAD Evy Nurmiati; Balqis Aulia Rahma; Musthafa Kamil
Bulletin of Computer Science Research Vol. 5 No. 6 (2025): October 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bulletincsr.v5i6.797

Abstract

Internships are a practical learning experience for students in government agencies and other sectors. However, the administrative process often faces challenges, particularly in terms of efficiency and order. This research was conducted in a government agency, focusing on the design of a web-based internship registration information system. The problem encountered was that the internship administration process still required many manual steps, potentially causing verification delays and suboptimal information delivery. To address these issues, this study employed the Rapid Application Development (RAD) method, with the main stages being requirements planning, design, implementation, and system testing. Data were collected through literature studies, observations, and system requirements analysis using the SWOT and PIECES approaches. The objective of the research was to design a prototype system capable of supporting an integrated internship registration process, from participant registration and application submission, document verification, to application status notification. The results showed that the designed system was able to improve administrative efficiency, accelerate communication between related parties, and provide transparency to interns in monitoring application status. With this system, it is hoped that agencies can reduce administrative problems and provide more effective and structured internship services.
Penerapan Metode TOPSIS untuk Pemeringkatan Saham Jakarta Islamic Index 70 Zulfiandri Zulfiandri; Balqis Aulia Rahma; Zafira Fayyaza Lutfun Nisa; Farah Adila; Rinda Hesti Kusumaningtyas
Bulletin of Computer Science Research Vol. 6 No. 1 (2025): December 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bulletincsr.v6i1.912

Abstract

This study aims to evaluate and rank sharia stocks included in the Jakarta Islamic Index 70 (JII70) as a basis for investment recommendations based on fundamental performance. The problem discussed is the need for investors to have an objective and structured decision-making model in selecting sharia stocks, considering the large number of stock alternatives available in the JII70 index. This study uses the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) method implemented using RStudio. Of the total 70 stocks in the JII70 index, this study analyzes five sharia issuers, namely TLKM, CTRA, ADRO, KLBF, and ICBP, which were selected purposively based on their level of liquidity, availability of financial ratio data, and cross-sector representation of the industry. The criteria used include Price to Earnings Ratio (PER), Price to Book Value (PBV), Return on Equity (ROE), Debt to Equity Ratio (DER), and Net Profit Margin (NPM). The criteria weighting was conducted using a subjective approach based on investor preferences, considering the relative importance of each ratio to investment decisions. The results of the study show that PT Adaro Energy Indonesia Tbk (ADRO) consistently obtained the highest preference value with a value of 0.771, followed by PT Ciputra Development Tbk (CTRA) in second place. These findings demonstrate that the TOPSIS method is capable of providing a systematic and transparent ranking of sharia stocks, although this study has limitations in the number of issuer samples analyzed. Future research can expand the number of issuers and add macroeconomic criteria.
Co-Authors Evy Nurmiati Farah Adila Musthafa Kamil Rinda Hesti Kusumaningtyas Zafira Fayyaza Lutfun Nisa Zulfiandri Zulfiandri