Innovation, Technology, and Entrepreneurship Journal
Decision Support System in Smartwatch Selection Using The Weighted Product (WP) Method
Abstract
The advancement of information technology has significantly impacted daily life, including the development of smart devices such as smartwatches. Smartwatches are multifunctional devices capable of connecting to the internet and interacting with various electronic devices. However, the vast number of available options makes it difficult for consumers to choose the right smartwatch. This research proposes a web-based Decision Support System (DSS) utilizing the Weighted Product (WP) method to assist consumers in selecting the most suitable smartwatch. The WP method employs a weighted multiplication of ratings for each attribute to generate objective recommendations. Data collection was carried out through literature studies, questionnaires, and interviews. System analysis and design were followed by system testing using expert judgment, black-box testing, and the System Usability Scale (SUS). The evaluation results indicated that the DSS using WP achieved a 100% success rate in black-box testing, an SUS score of 75.25 (categorized as good), and expert judgment scores of 3.25, 3.5, and 3.75 (valid category). These results confirm that the proposed DSS is feasible for smartwatch selection.
Keywords
Smartwatch; Weighted Product; Decision Support SystemReferences
- Berhitu, Y., Rahakbauw, D. L., & Ilwaru, V. Y. I. (2024). Application of the Weighted Product Method in Determining the Selection of Exemplary Students at Public Junior High School 67 Central Maluku. 3(1), 23–30.
- Goodings, A. J., Fadahunsi, K. P., Tarn, D. M., Henn, P., Shiely, F., & O’Donoghue, J. (2024). Factors influencing smartwatch use and comfort with health data sharing: A sequential mixed-method study protocol. BMJ Open, 14(5), 1–6. https://doi.org/10.1136/bmjopen-2023-081228
- Humairoh, A., Maulita, Y., & Utara, S. (2022). Penerapan Metode Weighted Product ( WP ) Dalam Pemilihan Varietas Bibit Unggul Tanaman Tebu. JOURNAL OF COMPUTER SCIENCE AND INFORMATICS ENGINEERING (CoSIE), 01(4), 188–197.
- Kadim, A. (2022). Sistem Pendukung Keputusan Pemilihan Laptop Menggunakan Model FMADM (Fuzzy Multiple Attribute Decision Making) dengan Metode Weighted Product (WP). Jurnal Multimedia Dan Teknologi Informasi (Jatilima), 4(02), 83–91. https://doi.org/10.54209/jatilima.v4i02.331
- Köhler, C., Bartschke, A., Fürstenau, D., Schaaf, T., & Salgado-Baez, E. (2024). The value of smartwatches in the healthcare sector: Monitoring, nudging, and predicting (Preprint). Journal of Medical Internet Research, 26. https://doi.org/10.2196/58936
- Lorinsa, D. (2020). PENGGUNAAN WEARABLE INTERNET OF THINGS (WIoT) OLEH KAUM MILENIAL. SOURCE : Jurnal Ilmu Komunikasi, 6(2), 190. https://doi.org/10.35308/source.v6i2.1861
- Nur Rofiq, & Puji Raja Bagus Kausar. (2024). Application of the Weighted Product Model Method for Vendor Selection at PT. Indonesia Comnets Plus. Jurnal Inotera, 9(2), 355–362. https://doi.org/10.31572/inotera.vol9.iss2.2024.id361
- Ramezani, R., Cao, M., Earthperson, A., & Naeim, A. (2023). Developing a Smartwatch-Based Healthcare Application: Notes to Consider. Sensors, 23(15). https://doi.org/10.3390/s23156652
- Riki, R., & Yanti, M. (2020). Decision Support Systems the Selection of Outstanding Students Using Simple Additive Weighting (SAW) and Weighted Product (WP) Methods. Bit-Tech, 3(1), 1–10. https://doi.org/10.32877/bt.v3i1.168
- Siddik, M., Ramadhani, P., & Salistiawaty, W. (2023). Sistem Pendukung Keputusan Pemilihan Jam Tangan Menggunakan Metode MOORA. Sistem Pendukung Keputusan Dengan Aplikasi, 2(1), 12–22. https://doi.org/10.55537/spk.v2i1.115
- Soares, T. G., Sinlae, A. A. J., Herdiansah, A., & Arisantoso, A. (2024). Decision Support System for Selection of Internet Services Providers using the ROC and WASPAS Approach. Journal of Computer System and Informatics (JoSYC), 5(2), 346–356. https://doi.org/10.47065/josyc.v5i2.4892
- Sunardi, Rusydi Umar, & Sahara, D. (2022). Best Employee Decision Using Multi Attribute Utility Theory Method. Jurnal RESTI (Rekayasa Sistem Dan Teknologi Informasi), 6(6), 945–951. https://doi.org/10.29207/resti.v6i6.4318
- Umar, R., Yudhana, A., & Dernata, J. (2022). The Admission Decision Support System for Muhammadiyah Student Association Cadres Using the Profile Matching Method. JUITA: Jurnal Informatika, 10(1), 53. https://doi.org/10.30595/juita.v10i1.12430
- Vujovic, S., Arsic, L., & Premovic, J. (2018). Journal of Hotel &Business Management. 11(1000007), 1000007.
- Yudhana, A., Umar, R., & Fawait, A. B. (2022). Decision Making Using the MABAC Method to Determine the Leading Small and Medium Industry Centers in Yogyakarta. Ingenierie Des Systemes d’Information, 27(6), 887–893. https://doi.org/10.18280/isi.270604
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