A Child Growth and Development Evaluation Using Weighted Product Method

DOI: https://doi.org/10.30996/jitcs.7613
Keywords: Decision Support System, DSS, Weighted Product Method, WPM, Child Development

Abstract

Child development is one of the factors that must be considered in improving a country's education. The level of maturity of human resources is able to maximize starting from childhood. The guidebook of the Ministry of Education and Culture of the Republic of Indonesia (Kemendikbud RI) in 2018 contained six indicators to assess children's learning ability, namely: 1) Moral, 2) Social, 3) Language, 4) Cognitive, 5) Motor, and 6) Art. This study implements these indicators to evaluate children's growth and development. The evaluation method uses the Weighted Product Method (WPM). WPM provides a ranking of the result of the evaluation. In addition, WPM also has an assessment of Beneficial and non-beneficial as a more relevant assessment between indicators. Data were collected by questionnaire at kindergarten schools with the respondents' age average of 5-6 years. The results will be calculated with indicators criteria weights given. The test results recommended for students between 0.65 to 0.62 are as follows: Mahmud, Diko, Cindy, Denny, and Riko. The kindergarten manager can use these recommendations to increase the student's aptitude.

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Author Biographies

Ardy Januantoro, Universitas 17 Agustus 1945 Surabaya

Department of Information Systems and Technology

Fridy Mandita, Universitas 17 Agustus 1945 Surabaya

Department of Informatics Engineering

References

Afriadi, B. (2022). Multiple Criteria Decision Making (MCDM) for Quality Education Management in Higher Education: Systematic Review. International Journal of Business, Law, and Education, 3(2), 173–180.

Ahsan, M., & Indawati, N. (2019). Implementation weighted product method to determine multiple intelligence child. Journal of Physics: Conference Series, 1375. https://doi.org/10.1088/1742-6596/1375/1/012038

Aminudin, N., Sundari, E., Shankar, K., Deepalakshmi, P., Fauzi, F., Irviani, R., & Maseleno, A. (2018). Weighted Product and its application to measure employee performance. International Journal of Engineering & Technology, 7(2.26), 102–108. https://doi.org/10.14419/ijet.v7i2.26.14362

El Hadidi, O., El-Dash, K., Besiouny, M., & Meshref, A. (2022). Evaluation of Building Life Cycle Cost (LCC) Criteria in Egypt using the Analytic Hierarchy Process (AHP). International Journal of the Analytic Hierarchy Process, 14(2). https://doi.org/10.13033/ijahp.v14i2.958

Fitriasari, N. S., Fitriani, S. A., & Sukamto, R. A. (2017). Comparison of weighted product method and technique for order preference by similarity to ideal solution method: Complexity and accuracy. 2017 3rd International Conference on Science in Information Technology (ICSITech), 453–458. https://doi.org/10.1109/ICSITech.2017.8257155

Honggowibowo, A. S., & Ayuningtyas, A. (2022). Penentuan Reward Guru Les Menggunakan Metode Profile Matching. Jurnal Informatika Universitas Pamulang, 7(2), 348–357. http://openjournal.unpam.ac.id/index.php/informatika/article/view/15192

Ihdalhusnayain, L., Al Ikhsan, S. H., & Kusumah, F. S. F. (2022). Sistem Pendukung Keputusan Penentuan Prioritas Perda dengan Metode Simple Additive Weighting ( SAW ) Berbasis Web. Jurnal Informatika Universitas Pamulang, 7(2), 327–334.

Ikrimach, I., & Retnowo, M. (2022). Implementation of Multi-Criteria Decision Making ( MCDM ) for new student majors recommendations. International Journal of Engineering, Technology and Natural Sciences (IJETS), 4(1), 52–58.

Kao, F. C., Dinh, T. N., & Nguyen, A. T. T. (2022). Evaluation Model and Decision Analysis of Digital Firms Ranked in Forbes’ Top Companies. Discrete Dynamics in Nature and Society, 2022. https://doi.org/10.1155/2022/2722914

Kemendikbud. (2020). Modul 2: Perkembangan Anak Usia Dini.

Khairina, D. M., Asrian, M. R., & Hatta, H. R. (2016). Decision Support System for New Employee Recruitment Using Weighted Product Method. 2016 3rd International Conference on Information Technology, Computer, and Electrical Engineering (ICITACEE), 297–301.

Kurniawan, D. E., & Amanda, S. T. (2017). Pemilihan Rumah Menggunakan Metode Weight Product dengan Visualisasi Lokasi Objek. KLIK (Kumpulan JurnaL Ilmu Komputer), 4(1), 102–111. http://klik.ulm.ac.id/index.php/klik/article/view/77

Lubis, N. (2020). Faktor-Faktor yang Berhubungan dengan Tumbuh Kembang Anak Usia 1-3 Tahun di Desa Kayu Laut Kecamatan Panyabungan Selatan Kabupaten Mandailing Natal Tahun 2020. Jurnal Kesehatan Ilmiah Indonesia (Indonesian Health Scientific Journal), 5(2), 19–26. https://doi.org/10.51933/health.v5i2.271

Moradi, N. (2022). Performance Evaluation of University Faculty by Combining BSC, AHP and TOPSIS: From the Students’ Perspective. International Journal of the Analytic Hierarchy Process, 14(2), 1–29. https://doi.org/10.13033/ijahp.v14i2.915

Muin, A. A. (2022). Sistem Pendukung Keputusan Pemilihan Kuliner Terpopuler di Kalimantan Selatan dengan Metode TOPSIS. Jurnal Informatika Universitas Pamulang, 7(2), 236–240.

Puspitasari, N., Haviluddin, H., Hamdani, H., Septiarini, A., Widians, J. A., & Irgadanti, F. P. (2022). Determination of Land Suitability for Herbal Plants Using FMADM With Weighted Product. 2022 5th International Conference on Information and Communications Technology (ICOIACT), 93–98. https://doi.org/10.1109/ICOIACT55506.2022.9972003

Rosiska, E., & Harman, R. (2019). Metode Analitical Hierarchy Process (AHP) Dalam Pemilihan Umum Presiden Indonesia 2019. InfoTekJar : Jurnal Nasional Informatika Dan Teknologi Jaringan, 3(2), 297–306. https://doi.org/10.30743/infotekjar.v3i2.1067

Safriyanti, S., & Ibrahim, I. (2022). Pengaruh Kreativitas Guru Terhadap Kemampuan Kognitif Anak Usia 5-6 Tahun di RA Azzahra Lampung Timur. Jurnal Pendidikan Anak, 11(1), 1–9. https://journal.uny.ac.id/index.php/jpa/article/view/46415/17632

Sahroni, T. R., & Ariff, H. (2017). Design of analytical hierarchy process (AHP) for teaching and learning. Proceedings - 11th 2016 International Conference on Knowledge, Information and Creativity Support Systems, KICSS 2016. https://doi.org/10.1109/KICSS.2016.7951412

Stanujkic, D., Popovic, G., Karabasevic, D., Meidute-Kavaliauskiene, I., & Ulutaş, A. (2023). An Integrated Simple Weighted Sum Product Method—WISP. IEEE Transactions on Engineering Management, 70(5), 1933–1944. https://doi.org/10.1109/TEM.2021.3075783

Sugiarto, A., Rizky, R., Susilawati, S., Yunita, A. M., & Hakim, Z. (2020). Metode Weighted Product pada Sistem Pendukung Keputusan Pemberian Bonus Pegawai pada CV Bejo Perkasa. Bianglala Informatika : Jurnal Komputer Dan Informatika Akademi Bina Sarana Informatika Yogyakarta, 8(2), 100–104.

Verma, S., & Patel, K. (2019). Weighted product Taxonomy for Mobile-Commerce site in Recommendation of Product based on Heuristic Approach. 2019 International Conference on Intelligent Computing and Control Systems (ICCS), 1435–1440. https://doi.org/10.1109/ICCS45141.2019.9065437

Wahyuningsih, D. (2020). Model Pembelajaran BCCT bagi Anak Usia Dini Sesuai dengan Tahap Perkembangan. Dunia Anak: Jurnal Pendidikan Anak Usia Dini, 3(1), 58–69.

Wang, S., Li, D., Zhang, X., & Zhang, S. (2021). Weighted Cross-Product Constraint Transformation to Optimize Spatial Structure of Data. 2021 4th International Conference on Artificial Intelligence and Big Data (ICAIBD), 27–31. https://doi.org/10.1109/ICAIBD51990.2021.9459085

Yoni, D. C., & Mustafidah, H. (2016). Penerapan Metode WP (Weighted Product) untuk Pemilihan Mahasiswa Lulusan Terbaik di Fakultas Teknik Universitas Muhammadiyah Purwokerto. JUITA: Jurnal Informatika, 4(1), 22–27.

Published
2023-02-07
How to Cite
Januantoro, A., & Mandita, F. (2023). A Child Growth and Development Evaluation Using Weighted Product Method. Journal of Information Technology and Cyber Security, 1(1), 16-21. https://doi.org/10.30996/jitcs.7613
Issue
Vol 1 No 1 (2023): January
Section
Research Article

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