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Optimasi Pengelolaan Data Mahasiswa dalam Sistem Pendukung Keputusan Pemilihan Asisten Laboratorium Sutoyo, Muh. Nurtanzis; Akbar, Muh. Hajar; Paliling, Alders; Mardianto, Mardianto
Journal Research on Computing Knowledge Vol. 1 No. 1 (2024): November 2024
Publisher : Fakultas Teknologi Informasi

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Abstract

The selection of laboratory assistants is a crucial process that requires decision-making based on various criteria, such as academic performance, activeness, technical skills, and communication abilities. However, manual processes often face challenges such as subjectivity and inefficiency. This study aims to develop a Decision Support System (DSS) based on the Simple Additive Weighting (SAW) method to optimize the selection of laboratory assistants. We utilize the SAW method because it can integrate criterion weights and normalize data to produce objective preference values. We conducted a simulation using dummy data from 10 students and four criteria, applying weights determined through discussions with laboratory managers. The results show that student A5 achieved the highest preference score (1.000), reflecting optimal performance across all criteria. The developed system also demonstrated its ability to enhance the transparency, efficiency, and accuracy of the selection process. The implementation of this system offers a practical solution for managing student data and making fairer decisions, with potential applications in other selection contexts, such as scholarships or academic awards
Gender dynamics of mathematical problem solving in 3D geometry: A case study of secondary school students Deti Sri Rahayu Rahayu; Mardianto Mardianto; Gemi Susanti Susanti; Hodiyanto Hodiyanto
Jurnal Pendidikan Informatika dan Sains Vol. 14 No. 2 (2025): Jurnal Pendidikan Informatika dan Sains
Publisher : Universitas PGRI Pontianak

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31571/saintek.v14i2.9651

Abstract

This study aims to analyze students' mathematical problem-solving abilities in three-dimensional geometry using Polya's four stages: understanding the problem, devising a plan, carrying out the plan, and looking back. Data were collected through a written geometry task on pyramid solids and in-depth interviews with one male and one female student. The findings reveal that the male student successfully understood the problem, planned the solution, and executed calculations accurately, yet made a minor procedural error by omitting the square root symbol when applying the Pythagorean theorem. The female student experienced more complex conceptual and procedural errors, including confusing volume with surface area, misidentifying the altitude of the triangular face, and miscalculating its area. Interviews confirmed that these errors stemmed largely from inattention to the relationships between two- and three-dimensional concepts, despite an overall awareness of the distinctions. These results indicate that mastery of spatial geometry requires both strong conceptual understanding and procedural accuracy, supported by multi-dimensional representations to ensure effective problem solving. The study recommends incorporating multi-representational teaching, structured error analysis, and real-world contexts to reduce geometry misconceptions and enhance precision in mathematical problem-solving.
Analysis of BRImo Application User Satisfaction Through The End User Computing Satisfaction Model in Kolaka District Muhamad Stiadi; Jimsan Jimsan; Mardianto Mardianto
Indonesian Journal of Business Intelligence (IJUBI) Vol 7 No 1 (2024): Indonesian Journal of Business Intelligence (IJUBI)
Publisher : Universitas Alma Ata

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21927/ijubi.v7i1.4297

Abstract

The objective of this study is to assess the degree of user satisfaction with the BRImo application within the Kolaka district. The research method used is quantitative descriptive which aims to describe the characteristics of each research variable which is sourced from primary data and then processed by calculating the percentage of user satisfaction. Research results using The End User Computing Satisfaction (EUCS) model show that the content variable has a satisfaction value of 85%, accuracy of 81%, form of 85%, ease of use of 85%, and timeliness of 83%. In general, users are satisfied with these variables.