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PENERAPAN METODE K-MEANS CLUSTERING UNTUK PENGELOMPOKAN SISWA BERDASARKAN PRESTASI DI SD N 03 SANGGANG SUKOHARJO
Jurnal Teknologi Informasi dan Komunikasi (TIKomSiN)
Vol 13
, No 2
(2025)
The rapid advancement of data science has made data processing a critical requirement across various fields, including education. Educational institutions are increasingly required to leverage available resources and information systems to enhance competitiveness and support strategic decision-making. Student achievement is generally assessed through both theoretical and practical subjects; however, determining achievement groups (very good, good, sufficient) often lacks efficiency, limiting ear...
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Effect of Biomass Feedstock Granulometry on Thermophysical Characteristics of Charcoal Briquettes via Screw Extrusion
Samsudin Anis
; Jefri Bale
; Septian Eko Cahyanto
; Ninda Kurniadi
; Fitriyana, Deni Fajar
; M. Thooriq Anwar
; Januar Parlaungan Siregar
; Natalino Fonseca Da Silva Guterres
Advance Sustainable Science, Engineering and Technology
Vol 7
, No 4
(2025)
The present study investigates the impact of particle size variation (10, 18, 20, and 35 mesh) on the physical and thermal properties of charcoal briquettes from coconut shells manufactured with a screw-based extruder machine. The briquette manufacturing process involves crushing, mixing, molding, and drying. Assessments were conducted to ascertain friability, compressive strength, density, calorific value, volatile matter, ash content, fixed carbon, and water content. Comparable assessments wer...
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Development of an IoT-based Soil Nutrient Monitoring and GIS Mapping System for Precision Agriculture
Advance Sustainable Science, Engineering and Technology
Vol 7
, No 4
(2025)
Agriculture is a field that contributes to Indonesia's economic development. Unpredictable weather, temperature fluctuations, and the difficulty in assessing soil quality hinder farmers in enhancing crop productivity. The IoT in signifies a beneficial progression that will assist farmers in their endeavors. Precision agriculture is an innovative approach that employs information technology for sustainable agricultural management. This research aims to assess soil nutrients and provide mapping d...
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Entrepreneurship Training as well as Environmental Conservation for Junior High School Students through Ecoprint
Indonesian Journal of Empowerment and Community Service
Vol 6
, No 2
(2025)
One of the P5 projects on the theme of entrepreneurship is Ecoprint, which is a natural batik art using plant parts as the basic material, and if done seriously, this batik art can generate income for its maker. The purpose of this service is to provide understanding through ecoprint training to students of SMP Muhammadiyah 1 Kartasura because of its relevance to the P5 subject on the theme of entrepreneurship. The method of this service is through lectures and direct practice of making ecoprint...
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Assensing the Impact of Advanced Driver Assistance Systems (ADAS) on Road Safety an Empirical Study Using Factor Analysis
Advance Sustainable Science, Engineering and Technology
Vol 7
, No 4
(2025)
Road traffic accidents remain a critical global concern, especially in low- and middle-income countries. Advanced Driver Assistance Systems (ADAS) are introduced as proactive safety technologies in the industry 4.0 era. This study aims to assess the impact of ADAS on road safety through an empirical approach. A quantitative survey involving 260 licensed drivers was conducted, followed by qualitative interviews to provide contextual insights. The dataset was confirmed reliable (KMO = 0.82; Cronba...
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Barium Removal from Produced Water Using RCC-Based Ceramic Adsorbent: Fixed-Bed Column Adsorption
Advance Sustainable Science, Engineering and Technology
Vol 7
, No 4
(2025)
This study focuses on the removal of barium ions (Ba²⁺) from produced water, a common challenge in industrial wastewater treatment due to barium’s toxicity and scaling potential. To address this, the research introduces a novel ceramic composite adsorbent formulated from natural clay and residue catalytic cracking (RCC) spent catalyst, combining low cost, sustainability, and enhanced adsorption performance. The main objective is to evaluate the adsorption efficiency of this composite in a fixed-...
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Hybrid Expert System for Academic Stress Diagnosis Using Forward Chaining and Score Weighting
Advance Sustainable Science, Engineering and Technology
Vol 7
, No 4
(2025)
Academic stress classification is a significant challenge in education, as previous approaches often rely on opaque models or require large training datasets. This study develops a hybrid expert system for academic stress classification using forward chaining and Certainty Factor (CF) score fallback. The system was tested on 100 student cases with the following label distributions: Mild (48), Moderate (37), and High (13), classified independently by three experts. Label validity was tested using...
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Empirical Analysis of the Impact of Labor Coefficients on Column Reinforcement Productivity in Construction Projects
Advance Sustainable Science, Engineering and Technology
Vol 7
, No 4
(2025)
Construction productivity, particularly in column reinforcement, is significantly influenced by labor as a key project component. Variations in labor coefficients determine efficiency in time, cost, and work quality, necessitating empirical analysis of their impact on productivity. This study examines the relationship between labor coefficients and column reinforcement productivity to improve construction project management efficiency. Using a quantitative approach with purposive sampling, 33 ob...
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Adaptation and Validation of the Indonesian Version of R.I.G.H.T. Leadership Scale
Advance Sustainable Science, Engineering and Technology
Vol 7
, No 4
(2025)
Leadership has a significant impact on organizational resilience and employee well-being. In accordance with International Test Commission guidelines, this study translated and validated the R.I.G.H.T. Leadership Scale for Indonesian employees. Online information was gathered from 302 workers from various industries (162 men and 140 women, ages 19–41). Psychometric testing, expert review, and forward-backward translation were all part of the adaptation. With over 90% expert agreement, the conten...
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AI-Enabled CTAS and Digital Tax-Fraud Detection: A PLS-SEM Study in Indonesia
Advance Sustainable Science, Engineering and Technology
Vol 7
, No 4
(2025)
This study investigates the factors determining digital tax fraud based on the New Fraud Star Theory, with great emphasis on the moderating role of AI-empowered CTAS. Data were collected from 107 corporate taxpayers in Indonesia through a structured survey and analyzed using Partial Least Squares Structural Equation Modeling. The results indicated that System Pressure, Technological Capability, and External Digital Pressure significantly heightened fraud attempts, while Digital Opportunity, AI R...
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