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All Journal Sistemasi: Jurnal Sistem Informasi Open Global Scietific Journal BACA: Jurnal Dokumentasi dan Informasi
Dwi Atmodjo Wismono Prapto, Dwi Atmodjo Wismono
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Agriculture, Biological Sciences & Forestry Computer Science & IT Electrical & Electronics Engineering Environmental Science Library & Information Science

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Evaluasi Kinerja Website Digital Library Perbanas Institute menggunakan Metode PIECES dan GTmetrix Nofaldo, Rafli; Purwaningsih, Mardiana; Prapto, Dwi Atmodjo Wismono; Marlina, Ekawati
BACA: Jurnal Dokumentasi dan Informasi Vol. 46 No. 1 (2025): BACA: Jurnal Dokumentasi dan Informasi (Juni)
Publisher : Direktorat Repositori, Multimedia, dan Penerbitan Ilmiah - Badan Riset dan Inovasi Nasional (BRIN Publishing)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55981/baca.2025.8966

Abstract

Information system performance evaluation is a crucial step for organizations in facing technological developments, supporting the achievement of strategic goals, and increasing competitiveness in the digital era. This evaluation ensures that the implemented technology not only meets current needs but is also able to keep up with the latest technological developments. The analysis of Digilib Perbanas' performance was conducted because of emerging issues related to feature complexity that make it difficult for users. If this problem is not immediately addressed and the system is not updated, Digilib risks being abandoned by its users. This study aims to evaluate Digilib Perbanas' performance using a combination of the PIECES and GTMetrix methods. The PIECES method is used to measure system user satisfaction through the variables of Performance, Information and Data, Efficiency, Economic, Control and Security, and Service. The number of respondents in the study was 312 students from the Faculty of Information Technology and the Faculty of Economics and Business. The measurement results for the Performance variable were strengthened by the GTMetrix method to measure website speed. Data collection was carried out through questionnaires and processed using IMB SPSS Statistics 27. The PIECES calculation results obtained an average variable value above 4.2 or Very Satisfied. However, the additional test result for the Performance variable using GTMetrix was E, indicating that the Digilib website's speed is still suboptimal due to the large amount of data on the platform. The hybrid approach between PIECES and GTMetrix produces a more robust evaluation of Digilib Perbanas by combining problem-based analysis through user perceptions and functional aspects, as well as evidence-based measurements of technical data on system performance.
Decision Support System in Determining Tourist Buses Using the Simple Additive Weighting (SAW) Method Marzuki, Donny Pramudia; Purbaratri, Winny; Prapto, Dwi Atmodjo Wismono; Faried, M Isnin
Open Global Scientific Journal Vol. 3 No. 2 (2024): Open Global Scientific Journal
Publisher : Research and Social Study Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70110/ogsj.v3i2.57

Abstract

Background: Tourist buses play a critical role in group travel, where service quality, safety, comfort, and operational efficiency directly influence customer satisfaction. However, the selection process for tourist buses is often subjective, lacking structured evaluation mechanisms that account for multiple criteria.Aims: This study proposes a web-based decision support system (DSS) for tourist bus selection using the Simple Additive Weighting (SAW) method, designed to transform qualitative preferences into quantitative rankings.Methods and Results: The system evaluates nine well-known bus providers based on three key criteria: price, facilities, and brand, each weighted to reflect decision-making priorities. The SAW method was selected for its computational efficiency and ease of implementation; however, its inherent assumption of full compensability between criteria may lead to biased results in complex decisio contexts. To address this, the proposed framework incorporates expert-driven weight assignment and sensitivity analysis, ensuring that critical non-compensatory attributes such as safety are not overshadowed by other criteria. This integration enhances the robustness and reliability of the final rankings, making the system more adaptable to evolving market demands and customer expectations. Testing demonstrated that the DSS successfully ranked alternatives with transparent, data-driven results, with Melody Transport achieving the highest score (0.825) among the evaluated options. The novelty of this research lies in refining the SAW method for a sector-specific application and addressing its compensatory limitations through expert-based adjustments. This approach not only improves decision quality for consumers and tour operators but also establishes a scalable and intelligent framework for future DSS developments in the tourism transportation sector.
Web-Based Decision Support System for Best Employee Selection in Government Institutions using Analytical Hierarchy Process (AHP) Method Prapto, Dwi Atmodjo Wismono; Sipahutar, Rosen; Purwaningsih, Mardiana
Sistemasi: Jurnal Sistem Informasi Vol 13, No 3 (2024): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v13i3.2796

Abstract

Government institutions are often constrained when making decisions regarding selecting the best employees due to the unavailability of an adequate decision support system. In fact, with this system, determining the best employees can be done easily and quickly. One method that can be used is the Analytical Hierarchy Process (AHP) which supports multi-criteria selection. This web-based decision support system designed has six criteria. From the calculation results of the priority weight value for each standard, the Court Punishment criteria have the highest priority value compared to other measures. Thus the requirements for this Court Punishment will be the primary consideration in calculating the value of outstanding employees. These criteria are then used for the simulation of 10 ministry employees. The simulation results show that the designed AHP technique is proven to prepare data for high achieving employee candidates accurately.
Co-Authors Ekawati Marlina, Ekawati Faried, M Isnin Hutagalung, Sumiati Mardiana Purwaningsih Marzuki, Donny Pramudia Nofaldo, Rafli Purbaratri, Winny Sipahutar, Rosen