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All Journal JURTEKSI Journal of Applied Engineering and Technological Science (JAETS) Jurnal Tekinkom (Teknik Informasi dan Komputer) JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Reswara: Jurnal Pengabdian Kepada Masyarakat SKANIKA: Sistem Komputer dan Teknik Informatika Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer) J-Com (Journal of Computer) BEES: Bulletin of Electrical and Electronics Engineering Journal of Artificial Intelligence and Digital Business Inspiration: Jurnal Teknologi Informasi dan Komunikasi JCOME (Journal of Computing and Multimedia Enginering Scientific literacy Innovation and Technology Journal JoDENS: Journal of Digital Ecosystem for Natural Sustainability
Musliadi K H
Universitas Universal
Religion Agriculture, Biological Sciences & Forestry Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Social Sciences

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Model Regresi Linear Berganda Untuk Prediksi Nilai Kualitas Tidur Berdasarkan Gaya Hidup Sidarta David Setia; Masparudin Masparudin; Kaharuddin; Musliadi KH
Journal of Digital Ecosystem for Natural Sustainability Vol 6 No 1 (2026): Juli 2026
Publisher : Fakultas Komputer - Universitas Universal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63643/jodens.v6i1.387

Abstract

Sleep disorders significantly impact individuals' quality of life and chronic health. Previous research utilizing the Sleep Health and Lifestyle Dataset predominantly focused on Classification tasks—predicting discrete diagnostic categories such as Insomnia or Sleep Apnea. Although classification accuracy has been high, this method fails to provide a continuous, quantitative assessment of the severity of Quality of Sleep (QOS). This study aims to address this limitation by developing and interpreting a Multiple Linear Regression (MLR) model to predict the numeric Quality of Sleep (QOS) score on a 1-10 scale based on lifestyle, demographic, and biometric factors. The MLR model was applied following pre-processing, which included One-Hot Encoding for categorical variables and the removal of diagnostic variables to prevent data leakage. Evaluation results demonstrate that the model achieved excellent performance, confirmed by a high Coefficient of Determination (R2) of 0.957 and a very low Mean Absolute Error (MAE) of 0.145 units. Quantitative analysis of the regression coefficients identified Sleep Duration as the most dominant positive predictor and Stress Level as the most significant negative predictor of QOS. These findings provide an important contribution in the form of an interpretable mathematical equation, which can be utilized by clinicians to make measurable, evidence-based intervention recommendations, shifting the focus from diagnosis to quantitative management and prevention.
Sistem Informasi Pendataan Masyarakat Tidak Mampu Pada Kelurahan Binanga Mamuju Berbasis Website Zulkifli Zulkifli; Musliadi KH; Ansar Ansar; Sumarlina Sumarlina; Najmawati Najmawati
Journal of Digital Ecosystem for Natural Sustainability Vol 6 No 1 (2026): Juli 2026
Publisher : LPPM - Universitas Universal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63643/jodens.v6i1.312

Abstract

The data collection process for underprivileged communities in Binanga Village, Mamuju Regency, was previously conducted conventionally using Microsoft Excel, Microsoft Word, and physical archives. This manual method was inefficient and highly susceptible to the loss of critical documents due to the absence of an integrated database system. This study aims to design and develop a web-based information system for underwriting underprivileged communities that can be accessed online from anywhere. The software development lifecycle (SDLC) employed is the Waterfall model, which encompasses the stages of requirements analysis, system design, implementation, and testing. The system was developed using Visual Studio Code as the source code editor, utilizing PHP, HTML, CSS, and JavaScript programming languages, alongside a MySQL database. The testing results demonstrate that the application operates in accordance with the initial design and functions optimally. The implementation of this information system significantly streamlines the data entry tasks for village officials while ensuring secure data storage within the system database.
Co-Authors Ansar Ansar Ansar Ansar Anton, Oey Ayu Hasnining Farida Farida Givi Ofgivia Hazriani, Hazriani Hidayat Hidayat Hidayat Hidayat Ilwan Syafrinal Indar Kusmanto Indar Kusmanto Ismail , Asriani Ismail, Asriani Ismail, Asriyani Kaharuddin Kaharuddin Kelvin Falencio Kristian Kristian Kristian, Kristian Kurniawan Hamidi Marfuah, Marfuah Masparudin, Masparudin Maspiati MUHAMMAD KHAERUL NAIM MURSALIM Munawirah, Munawirah Najmawati Najmawati Nasruddin Nurul Humaera Baharudin Ofgivia, Givi Pernando, Yonky Roza, Yuni Sidarta David Setia Sumarlina Sumarlina U, M Ikhsan Ulfa Laela Rambega, Ulfa Laela Verdian, Ihsan Yuni Roza Yuyun Zulkifli Zulkifli Zulkifli Zulkifli