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All Journal METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi
Elida Tuti Siregar
Universitas Pembinaan Masyarakat Indonesia
Computer Science & IT Economics, Econometrics & Finance

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Implementation of the SMART Method in a Decision Support System for Scholarship Selection Using Real Data Elida Tuti Siregar; Nurhayati Nurhayati; Ria Eka Sari; Fitri Pranita Nasution; Nur Anzelina Harahap
METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi Vol. 10 No. 1 (2026): METHOMIKA: Jurnal Manajemen Informatika & Komputersisasi Akuntansi
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/jmika.Vol10No1.pp178-185

Abstract

The process of selecting scholarship recipients at SMK MEDAN still faces issues of subjectivity and inefficiency due to manual procedures. This study aims to develop a scholarship decision support system based on the SMART (Simple Multi Attribute Rating Technique) method within the Decision Support System (DSS) framework to enhance objectivity and transparency in decision-making. This research employs a quantitative approach within an applied research framework using real student data based on criteria such as academic achievement, parents’ income, number of dependents, and attendance. The results indicate that the SMART method effectively generates a consistent multi-criteria ranking model, where the top candidate achieves a preference score of 0.833, equivalent to an 83.3% eligibility level. The developed system improves decision quality through more objective and efficient educational decision optimization. The main contribution lies in integrating SMART with real data into an application-based system, offering a more transparent and practical approach compared to conventional methods.
Pengembangan Sistem Informasi Deteksi Stunting Berbasis Android Menggunakan Metode Z-Score Nidia Enjelita Saragih; Elida Tuti Siregar
METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi Vol. 10 No. 1 (2026): METHOMIKA: Jurnal Manajemen Informatika & Komputersisasi Akuntansi
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/jmika.Vol10No1.pp127-137

Abstract

Stunting is one of the major chronic nutritional problems in Indonesia that affects children's growth and development. The manual process of detecting stunting often leads to delays in handling and potential inaccuracies in determining nutritional status. Therefore, a system is needed to support faster and more accurate detection. This study aims to develop an Android-based stunting detection information system using the Z-score method. The research method used is Research and Development (R&D) with the Waterfall model, which includes requirement analysis, system design, implementation, and testing stages. The data used in the calculation refers to the growth standards established by the World Health Organization (WHO). The results show that the developed system is capable of automatically calculating Z-score values based on user input, including age, height, and weight of the child. The system can also accurately determine the nutritional status according to WHO classification standards. Based on Black Box Testing, all system functions run properly as expected. Thus, the developed information system can assist the community and health workers in conducting early detection of stunting more effectively and efficiently.
Co-Authors fitri pranita nasution Nidia Enjelita Saragih Nur Anzelina Harahap Nurhayati Nurhayati Ria Eka Sari