Article Per Year (5 Year)
p-Index From 2021 - 2026
0.659
P-Index
This Author published in this journals
All Journal Journal of Educational, Health and Community Psychology Psychology, Evaluation, and Technology in Educational Research Indonesian Journal of Multidisciplinary on Social and Technology
Sumin Sumin
Institut Agama Islam Negeri Pontianak
Computer Science & IT Economics, Econometrics & Finance Education Engineering Public Health Social Sciences

Published : 3 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 3 Documents
Search

 1 
A Multidimensional Concept of Mental Workload: A Systematic Review Veny Hidayat; Sumin Sumin; Badrun Kartowagiran; Yulia Ayriza
Journal of Educational, Health and Community Psychology Vol 11 No 4 December 2022
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/jehcp.v11i4.24203

Abstract

The concept of mental workload is fully used and leads to various theoretical and methodological models. For this purpose, we are conducted in the same way as a systematic review for understanding the concept and a factor that identifies work and work situations that affect personal tasks, or mental workload field. A systematic review was obtained from scientific papers issued from 2010-to 2021. Mental workload is multidimensional, so that a conceptual definition of mental workload should therefore integrally encompass the most elementary dimensions of mental workload. In general, most factors affected mental workloads, including working environments, individual differences, temporal pressure, and task difficulty/compliance complexity. Techniques for assessing subjective workloads are popular in several studies because of their ease of use and sensitivity to workload fluctuations. The NASATLX scale is the most common subjective technique and is used in a wide range of fields. Subjective and objective measurements cannot even measure all kinds of factors that affect mental distress. The main difficulty facing researchers is establishing standardized measurements of mental workload and its normal range so that effective comparisons can be made between groups of subjects. These results can provide measurement development recommendations using three approaches: subjective, objective, and behavioral.Keywords: mental workload; measurement; workload factors
Development of user-friendly simple statistical software: Linear regression analysis series Hari Purnomo Susanto; Ika Noviantari; Nely Indra Meifiani; Mega Isvanidiana Purnamasari; Tika Dedy Prasetyo; Mobinta Kusuma; Sumin Sumin
Psychology, Evaluation, and Technology in Educational Research Vol. 7 No. 2 (2025)
Publisher : Research and Social Study Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33292/petier.v7i2.242

Abstract

Regression analysis is a statistical technique frequently employed across diverse disciplines utilizing SPSS. Users lacking a robust basis in regression and infrequently utilizing SPSS will experience anxiety. Anxiety will be intensified by the interpretation of the analysis results. This work aims to create user-friendly statistical software for regression analysis, requiring little configuration and capable of interpreting analytical results. This study employed the SCLD development model. This paradigm comprises five stages: Planning, Analysis, Design, Implementation, and System. The produced software is titled Simple Statistical Software series Regression Analysis, abbreviated as 3S-AR. The development yielded the 3S-AR program, which possesses functionality for regression analysis. The validation of development results was conducted by comparing the outcomes of 3S-AR analysis with those obtained from SPSS software. 3S-AR provides numerous advantages. Initially, it was user-friendly, and minimal configuration was required. A single analysis can present the outcomes of the regression analysis alongside all relevant assumptions. Secondly, the capability to offer an interpretation of the analytical findings. Third, if an analysis is incomplete, it can offer recommendations on the user's next steps. Fourth, it is complimentary. The development outcomes can facilitate users in conducting regression analysis with ease, particularly for individuals lacking a robust statistical background and proficiency in regression analysis tools.
Pengaruh Pertumbuhan Ekonomi Dan Pengeluaran Per Kapita Terhadap Indeks Pembangunan Manusia 14 Kabupaten/Kota Di Provinsi Kalimantan Barat Novi Damayanti; Ira Sabrina; Sumin Sumin; Syamratun Nurjannah
Indonesian Journal of Multidisciplinary on Social and Technology Vol. 4 No. 3 (2026): Juli - Oktober
Publisher : PT Ilmu Data Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69693/ijmst.v4i3.11997

Abstract

Indeks Pembangunan Manusia (IPM) menggambarkan kualitas pembangunan manusia melalui dimensi kesehatan, pendidikan, dan standar hidup layak. Meskipun demikian, capaian IPM pada 14 kabupaten/kota di Provinsi Kalimantan Barat masih menunjukkan kesenjangan antarwilayah. Penelitian ini bertujuan menganalisis pengaruh pertumbuhan ekonomi dan pengeluaran per kapita terhadap IPM secara parsial maupun simultan selama periode 2021–2025. Penelitian menggunakan pendekatan kuantitatif dengan data panel sebanyak 70 observasi yang berasal dari 14 kabupaten/kota selama lima tahun. Data sekunder diperoleh dari publikasi resmi Badan Pusat Statistik dan dianalisis menggunakan regresi data panel melalui aplikasi RStudio. Pemilihan model dilakukan dengan Uji Chow, Uji Hausman, dan Uji Lagrange Multiplier yang menetapkan Random Effect Model sebagai model estimasi terbaik. Analisis dilanjutkan dengan uji asumsi klasik, uji t, uji F, dan koefisien determinasi. Hasil penelitian menunjukkan bahwa pertumbuhan ekonomi memiliki koefisien positif sebesar 0,04253, tetapi tidak berpengaruh signifikan terhadap IPM karena nilai signifikansinya 0,47859. Sebaliknya, pengeluaran per kapita berpengaruh positif dan signifikan dengan koefisien 1,78958 dan nilai signifikansi di bawah 0,05. Secara simultan, kedua variabel berpengaruh signifikan terhadap IPM. Temuan ini menunjukkan bahwa peningkatan pembangunan manusia lebih kuat ditentukan oleh kemampuan masyarakat memenuhi kebutuhan pendidikan, kesehatan, dan standar hidup layak dibandingkan pertumbuhan ekonomi semata. Hasil ini juga menegaskan pentingnya pemerataan manfaat pembangunan ekonomi di seluruh wilayah penelitian.
Co-Authors Badrun Kartowagiran Hari Purnomo Susanto Ika Noviantari Ira Sabrina Mega Isvanidiana Purnamasari Mobinta Kusuma Nely Indra Meifiani Novi Damayanti Syamratun Nurjannah Tika Dedy Prasetyo Veny Hidayat Yulia Ayriza