Usability Test on the System Determination Decision Support ReleaseProduct Towards Contribution Level Decision Maker
DOI:
https://doi.org/10.30812/matrik.v24i3.3789Keywords:
Decision Maker, Decision support system, Release Product, Usability TestAbstract
The core problem addressed in this research is the usability challenges of a decision support system for determining product release, which can hinder decision-makers’ effectiveness and user satisfaction. The purpose of this research is to evaluate the usability of the system and assess its impact on the effectiveness of decision-makers in determining product releases. The method used is a usability test involving direct user interaction with the system, where decision-makers performed predefined tasks. Usability metrics, including task completion time, error rate, and user satisfaction levels, were collected and analyzed to evaluate system performance. The result of this study is that the system facilitates efficient decision-making to a moderate extent. However, specific usability issues, such as navigation complexity and information overload, were identified, which reduced some users’ ability to operate the system seamlessly. Improvements in navigation and information presentation significantly enhanced user experience and decision-making quality. The research concludes that enhancing the usability of decision support systems is essential for maximizing their contribution to decision-making processes. Addressing specific challenges, such as simplifying navigation and optimizing information presentation, can substantially improve decision-maker satisfaction and the overall utility of the system. This study emphasizes the importance of usability-focused design in facilitating effective organizational decision-making.
Downloads
References
[1] R. Sharda, D. Delen, and E. Turban, Analytics, data science, & artificial intelligence. System for decision support, 2022, vol. 11.
[2] B. M. S. Nirmala, I. G. Suardika, and I. W. Ardiyasa, “Analisis Usabilitas Aplikasi Mobile eTourism Objek Wisata di Bali
Berbasis Location Based Services,” EXPLORE, vol. 9, no. 1, p. 67, jan 2019, https://doi.org/10.35200/explore.v9i1.275.
[3] S.Wi, S. J. Chang, and S. Kim, “Improvement of thermal inertia effect in buildings using shape stabilized PCM wallboard based
on the enthalpy-temperature function,” Sustainable Cities and Society, vol. 56, p. 102067, may 2020, https://doi.org/10.1016/j.
scs.2020.102067.
[4] T. Kim and C. H. Park, “Anomaly pattern detection for streaming data,” Expert Systems with Applications, vol. 149, p. 113252,
jul 2020, https://doi.org/10.1016/j.eswa.2020.113252.
[5] O. Gonz´alez-Rojas and L. Ochoa-Venegas, “A decision model and system for planning and adapting the configuration of
enterprise information systems,” Computers in Industry, vol. 92-93, pp. 161–177, 2017, https://doi.org/10.1016/j.compind.
2017.08.004.
[6] F. Basciani, D. Di Pompeo, J. Di Rocco, and A. Pierantonio, “A customizable approach to assess software quality through
Multi-Criteria Decision Making,” in 2023 IEEE 20th International Conference on Software Architecture Companion (ICSA-C).
IEEE, mar 2023, pp. 264–271, https://doi.org/10.1109/ICSA-C57050.2023.00063.
[7] N. Gerami Seresht, R. Lourenzutti, and A. R. Fayek, “A fuzzy clustering algorithm for developing predictive models in construction
applications,” Applied Soft Computing, vol. 96, p. 106679, nov 2020, https://doi.org/10.1016/j.asoc.2020.106679.
[8] X. Yu, X. Bai, X. Shi, X. Zhou, and H. Zhang, “Microstructures and properties of wire and arc additively manufactured steel
matrix composites with addition of WC by gravity-driven side powder feeding,” Journal of Manufacturing Processes, vol. 81,
pp. 236–249, sep 2022, https://doi.org/10.1016/j.jmapro.2022.07.004.
[9] L. Piha, K. Papadas, and V. Davvetas, “Brand orientation: Conceptual extension, scale development and validation,” Journal of
Business Research, vol. 134, pp. 203–222, sep 2021, https://doi.org/10.1016/j.jbusres.2021.05.023.
[10] Z. Khalifa and I. Rahal, “Integration of Blockchain Technology in the Sustainable Supply Chain Management,” International
Science and Technology Journal, vol. 34, no. 1, pp. 1–23, feb 2024, https://doi.org/10.62341/zkir2928.
[11] E. Daniati and H. Utama, “Decision Making Framework Based On Sentiment Analysis in Twitter Using SAW and Machine
Learning Approach,” in 2020 3rd International Conference on Information and Communications Technology (ICOIACT).
IEEE, nov 2020, pp. 218–222, https://doi.org/10.1109/ICOIACT50329.2020.9331998.
[12] P. Tantri Fajarini, N. K. AyuWirdiani, and I. P. Arya Dharmaadi, “Evaluasi Portal Berita Online pada Aspek Usability Menggunakan
Heurtistic Evaluation dan Think Aloud,” Jurnal Teknologi Informasi dan Ilmu Komputer, vol. 7, no. 5, p. 905, oct 2020,
https://doi.org/10.25126/jtiik.2020753587.
[13] A. S. Yalcin, H. S. Kilic, and D. Delen, “The use of multi-criteria decision-making methods in business analytics: A comprehensive
literature review,” Technological Forecasting and Social Change, vol. 174, no. August 2021, p. 121193, 2022,
https://doi.org/10.1016/j.techfore.2021.121193.
[14] A. Siva Bhaskar and A. Khan, “Comparative analysis of hybrid MCDM methods in material selection for dental applications,”
Expert Systems with Applications, vol. 209, no. July, p. 118268, 2022, https://doi.org/10.1016/j.eswa.2022.118268.
[15] Y. Zhan, Z. H. Wan, and D. Sun, “Online formative peer feedback in Chinese contexts at the tertiary Level: A critical review on
its design, impacts and influencing factors,” Computers & Education, vol. 176, p. 104341, jan 2022, https://doi.org/10.1016/j.
compedu.2021.104341.
[16] J. Li, X. Ou, N. Shen, J. Sun, J. Ding, J. Zhang, J. Yao, and Z. Wang, “Study on strategy of CT image sequence segmentation
for liver and tumor based on U-Net and Bi-ConvLSTM,” Expert Systems with Applications, vol. 180, p. 115008, oct 2021,
https://doi.org/10.1016/j.eswa.2021.115008.
[17] A. de Giorgio, A. Maffei, M. Onori, and L. Wang, “Towards online reinforced learning of assembly sequence planning with
interactive guidance systems for industry 4.0 adaptive manufacturing,” Journal of Manufacturing Systems, vol. 60, pp. 22–34,
jul 2021, https://doi.org/10.1016/j.jmsy.2021.05.001.
[18] Y. O. Serrano-Silva, Y. Villuendas-Rey, and C. Y´a˜nez-M´arquez, “Automatic feature weighting for improving financial Decision
Support Systems,” Decision Support Systems, vol. 107, pp. 78–87, March, 2018, https://doi.org/10.1016/j.dss.2018.01.005.
[19] E. Iryanti, L. O. M. Zulfiqar, S. S. Kusumawardani, and I. Hidayah, “Pengukuran Kepuasan Pengguna E-Learning Menggunakan
Metode Evaluasi Heuristik dan System Usability Scale,” Jurnal Teknologi Informasi dan Ilmu Komputer, vol. 9, no. 3, p. 469,
jun 2022, https://doi.org/10.25126/jtiik.2022924631.
[20] H. A. Kheder, “Human-Computer Interaction: Enhancing User Experience in Interactive Systems,” Kufa Journal of Engineering,
vol. 14, no. 4, pp. 23–41, 2023, https://doi.org/10.30572/2018/KJE/140403.
Downloads
Published
Issue
Section
License
Copyright (c) 2025 Erna Daniati, Sucipto Sucipto, Anita Sari Wardani, Akmal Hisyam Pradhana

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
How to Cite
Similar Articles
- Rizky Muliani Dwi Ujianti, Mega Novita, Iffah Muflihati, Pemetaan Dimensi Ketahanan Pangan berbasis Web GIS dan Metode TOPSIS , MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer: Vol. 21 No. 3 (2022)
- Virdiana Sriviana Fatmawaty, Imam Riadi, Herman Herman, Higher Education Institution Clustering Based on Key Performance Indicators using Quartile Binning Method , MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer: Vol. 24 No. 1 (2024)
- Bobby Poerwanto, Fajriani Fajriani, Resilient Backpropagation Neural Network on Prediction of Poverty Levels in South Sulawesi , MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer: Vol. 20 No. 1 (2020)
- sri suharti, Anton Yudhana, Imam Riadi, Forensik Jaringan DDoS menggunakan Metode ADDIE dan HIDS pada Sistem Operasi Proprietary , MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer: Vol. 21 No. 3 (2022)
- Putu Tisna Putra, Anthony Anggrawan, Hairani Hairani, Comparison of Machine Learning Methods for Classifying User Satisfaction Opinions of the PeduliLindungi Application , MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer: Vol. 22 No. 3 (2023)
- Ahmad Homaidi, Aplikasi Pengusulan dan Pemantauan Pelaksanaan Penelitian dan Pengabdian Masyarakat Universitas Ibrahimy , MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer: Vol. 20 No. 2 (2021)
- Vikky Aprelia Windarni, Adi Setiawan, Atina Rahmatalia, Comparison of the Karney Polygon Method and the Shoelace Method for Calculating Area , MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer: Vol. 23 No. 1 (2023)
- Zein Zein, Ahmat Adil, APLIKASI MEDIA BANTU PEMBELAJARAN KRIPTOGRAFI DENGAN MENGGUNAKAN ALGORITMA MESSAGE DIGEST 5 (MD5) , MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer: Vol. 15 No. 2 (2016)
- Susana Limanto, vincentius Riandaru Prasetyo, Mirella Mercifia, Optimizing the Amount of Production Using Hybrid Fuzzy Logic and Census II , MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer: Vol. 22 No. 3 (2023)
- Sepyan Purnama Kristanto, Lutfi Hakim, Ekstraksi Informasi Destinasi Wisata Populer Jawa Timur Menggunakan Depth-First Crawling , MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer: Vol. 21 No. 1 (2021)
You may also start an advanced similarity search for this article.
Most read articles by the same author(s)
- Sucipto Sucipto, Didik Dwi Prasetya, Triyanna Widiyaningtyas, Educational Data Mining: Multiple Choice Question Classification in Vocational School , MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer: Vol. 23 No. 2 (2024)