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Advance Sustainable Science, Environmental Engineering and Technology (ASSET) Jl. Sidodadi Timur No.24, Karangtempel, Kec. Semarang Tim., Kota Semarang, Jawa Tengah 50232
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Advance Sustainable Science, Engineering and Technology (ASSET)
Published by Universitas PGRI Semarang
ISSN : -     EISSN : 27154211     DOI : https://doi.org/10.26877/asset
Core Subject : Science, Engineering,
Chemistry Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Industrial & Manufacturing Engineering
Advance Sustainable Science, Engineering and Technology (ASSET) is a peer-reviewed open-access international scientific journal dedicated to the latest advancements in sciences, applied sciences and engineering, as well as relating sustainable technology. This journal aims to provide a platform for scientists and academicians all over the world to promote, share, and discuss various new issues and developments in different areas of sciences, engineering, and technology. The Scope of ASSET Journal is: Biology and Application Chemistry and Application Mechanical Engineering Physics and Application Information Technology Electrical Engineering Mathematics Pharmacy Statistics
Arjuna Subject : Teknik Kimia (semua kategori) - Teknik Kimia (Lain-Lain)
Articles 409 Documents
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Quantifying Routine Activity Theory Factors in Personal Data Protection for Financial Institutions Irenne Sutanto; Astari Retnowardhani
Advance Sustainable Science Engineering and Technology Vol. 8 No. 4 (2026): August-October
Publisher : Science and Technology Research Centre Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/asset.v8i4.2682

Abstract

Personal data protection has become a crucial issue in the financial sector as banking, fintech, and insurance services become increasingly digitized. This study aims to analyze the role of Routine Activity Theory (RAT) through three factors: motivated offender, suitable target, and capable guardianship, in improving the effectiveness of personal data protection. A quantitative method was used with a population of employees directly involved in personal data management, and 233 respondents were obtained through purposive sampling. Multiple regression analysis using SPSS showed that the three RAT constructs had a significant effect, with the capable guardianship factor having the strongest coefficient. The findings emphasize the importance of monitoring, access control, and risk mitigation against data leaks. The implication for financial institutions is the need to develop information security management strategies based on actor behavior, target vulnerability, and supervision mechanisms to increase public trust and digital resilience in the era of digital financial transformation.
Sustainable PVA-Chitosan Biocomposite Films: Effects of Chitosan Loading on Material Properties and Biodegradability Mark Xavier Bailon; Jacob Emmanuel Sadorra; Martin Rafael Villalon; Riley Moya
Advance Sustainable Science Engineering and Technology Vol. 8 No. 4 (2026): August-October
Publisher : Science and Technology Research Centre Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/asset.v8i4.2700

Abstract

Global reliance on non-biodegradable petroleum-based plastics is a significant environmental concern that necessitates the development of eco-friendly alternatives. Poly(vinyl) alcohol (PVA) shows high potential, but its application is limited because of its high moisture sensitivity and intermediate strength. In this study, the effect of crosslinking chitosan (CS) at 5-35% loading on different material properties and biodegradability of poly(vinyl) alcohol-chitosan (PVA-CS) biocomposite films was investigated. FTIR analysis confirmed the successful crosslinking between the two polymers. The integration of CS in the polymer matrix of PVA improved its UV-blocking properties by 25-55%. The degree of swelling and solubility is inversely related to %CS in PVA-CS films. Pure PVA and PVA-CS films showed higher tensile strengths but lower elongation at break compared to LDPE. Thermogravimetry showed 4-stage thermal degradation, with maximum degradation at 280-380°C for the PVA-based films. Significant improvement in the biodegradability of PVA films was observed with the incorporation of CS. Based on the tested %CS loading, a minimum of 15% CS is required to see significant improvement in the biodegradation rate, UV-blocking, and mechanical properties of the PVA-CS films. These findings have direct practical implications for sustainable engineering, showing the potential of PVA-CS biocomposites as a biodegradable alternative to traditional plastics.
Occupational Exposure to Andesite Dust: Impact on Pulmonary Function and Sustainable Engineering Control Implications for Stone Carving Workers Retno Rusdjijati; Heni Setyowati Esti Rahayu
Advance Sustainable Science Engineering and Technology Vol. 8 No. 4 (2026): August-October
Publisher : Science and Technology Research Centre Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/asset.v8i4.2813

Abstract

Stone carving workers are exposed to silica dust from andesite stone. They do not wear masks and smoke while working, so that respiratory organs can be disturbed. The study was conducted to identify the relationship between andesite dust exposure and the duration of contact with workers' lung function disorders, using an analytical observational design, cross-sectional method. Respondents included 28 stone carving workers (n=28) from Muntilan, Magelang, Central Java, who were determined based on inclusion criteria. The results showed that the average dust concentration in the work environment significantly exceeded the Threshold Limit Value (>10 mg/m³), which was 15,490 mg/m³ (SD ± 2.38). Mild and moderate restrictive disorders were 75% and 14.3%, respectively; normal lungs in 10.5% of respondents. A total of 70% of respondents had normal lung conditions without indications of silicosis, only 28.6% showed clinical symptoms of bronchitis. Fisher's exact test found that dust exposure was significantly associated with lung disorders (p = 0.020; 95% CI = 0.005-0.467). However, work duration was not associated with lung disorders. These findings suggest the need for comprehensive occupational hygiene interventions, including hazard control measures such as local exhaust ventilation and the use of appropriate personal protective equipment.
Quantifying Human-Activity Energy Contributions for Sustainable Campus Building Design Zulkarnain Marzuki; Ridwan Sanjaya; Antonius Ardiyanto
Advance Sustainable Science Engineering and Technology Vol. 8 No. 4 (2026): August-October
Publisher : Science and Technology Research Centre Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/asset.v8i4.2866

Abstract

The movement of students in the corridors and on the staircases generates electric power from each step. In order to analyze this possibility of energy generation, researchers conducted a study over five working days at the busiest locations. Researchers examined the time and the number of people present, temperature, light, CO2 levels and the total number of steps using mobile phones every five minutes. The results reveal that walking and climbing generate about 0.053kWh/week, which is less than 0.01% of total energy consumption of the building (2877kWh/week) and that walking brings additional heat amounting to 80-100W/person during periods of activity. Even though the impact of activity is utterly trivial in respect to the electricity produced by the student flow, the new approach improves building energy models. 
Preliminary Evaluation of Pellet and Tubifex Feed Treatments on Pangasius and Water Spinach Growth in a Bucket-Based Aquaponic System (Budikdamber) Atip Nurwahyunani; Wiwi Isnaeni; Siti Alimah; Aditya Marianti
Advance Sustainable Science Engineering and Technology Vol. 8 No. 4 (2026): August-October
Publisher : Science and Technology Research Centre Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/asset.v8i4.3728

Abstract

Bucket-based aquaponics offers a low-cost option for integrated fish and vegetable production, but treatment-level observations require cautious interpretation. This 43-day preliminary study descriptively evaluated commercial pellets (P1), a 1:1 pellet–Tubifex combination (P2), and Tubifex (P3) in separate 80-L Pangasius–water spinach systems. Recorded fish length and weight gains were highest numerically in P3 (10.5 cm; 10.2 g), whereas P2 produced the largest water-spinach height, leaf count, and leaf width (28 cm; 36; 1.7 cm). Mean pH ranged from 7.85 to 7.89, while recorded temperatures were high (36.8–37.8 °C). Because each treatment was represented by one bucket, results were analyzed descriptively. The observations do not establish treatment superiority or feed efficiency; confirmatory research requires replicated systems, quantified feed intake, and comprehensive water-quality monitoring.
EEG-Based Depression Detection Using Welch Power Spectral Density Analysis and Transformer Learning Pratima Singh; Alok Singh Chauhan; Dhyanendra Jain; Ashok Kumar Rai; Palak Gupta; Rajiv Chourasiya
Advance Sustainable Science Engineering and Technology Vol. 8 No. 4 (2026): August-October
Publisher : Science and Technology Research Centre Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/asset.v8i4.3740

Abstract

Depression diagnosis remains largely dependent on subjective clinical assessments, creating a strong need for objective and reproducible biomarkers. Electroencephalography (EEG) offers a non-invasive and cost-effective solution for capturing neural activity associated with depressive states. This study proposes a deep learning-based framework for automated depression detection using EEG Power Spectral Density (PSD) features estimated through the Welch method. After preprocessing with bandpass filtering, notch filtering, and Independent Component Analysis (ICA)-based artifact removal, PSD features were extracted from the delta, theta, alpha, beta, and gamma bands. These spectral representations were then classified using Convolutional Neural Networks (CNN), Recurrent Neural Networks (RNN), and Transformer-based architectures. Experimental results on EEG recordings from 90 subjects (60 depressed and 30 healthy controls) demonstrated that the Transformer model achieved a classification accuracy of 83.78%, with favorable convergence, generalization, and computational efficiency compared with the CNN and RNN models. The findings confirm that Welch-based spectral analysis combined with Transformer learning provides an effective and scalable framework for objective depression detection, with strong potential for clinical decision support and portable mental health monitoring systems.
Design of an Entrepreneurial Competency Development Model to Improve Creative Industry Business Performance Lina Nurjanah; Elisa Anggraeni; Budi Yulianto; Rizal Syarief
Advance Sustainable Science Engineering and Technology Vol. 8 No. 4 (2026): August-October
Publisher : Science and Technology Research Centre Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/asset.v8i4.2247

Abstract

The creative industry contributes significantly to national economic growth through job creation, exports, and cultural preservation. However, its development is constrained by limited entrepreneurial competencies, education, experience, resources, and business networks. This study aims to design an entrepreneurial competency development model to improve business performance in the creative industry. Using a quantitative approach, data were collected from 259 creative industry entrepreneurs and 15 experts and analysed through PLS-SEM and AHP. The results show that knowledge, skills, entrepreneurial orientation, and social capital positively affect business performance (β = 0.583, t = 9.305, p < 0.001). AHP identifies knowledge as the main factor (0.640), government as the key actor (0.531), and strengthening entrepreneurial character and skills as the primary objective (0.634). The main strategy is developing technology-based training curriculum standards and sustainable mentoring programs (0.506) to enhance competitiveness and sustainability in the creative economy. 
Transit-Oriented Development and Integrated Urban Transport Systems: Technical Assessment and Case Study of Cirebon Station, Indonesia Nurullah Budisiswanto; Tira Roesdiana; Aryati Indah Kusumastuti
Advance Sustainable Science Engineering and Technology Vol. 8 No. 4 (2026): August-October
Publisher : Science and Technology Research Centre Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/asset.v8i4.2698

Abstract

This study is an empirical case study that evaluates the potential for developing the area surrounding Cirebon Station into a Transit-Oriented Development (TOD) zone. The research uses a mixed-method approach, combining descriptive–qualitative spatial analysis with quantitative survey-based modeling. Spatial data were generated through field observation, interviews, and GIS mapping within an 800-meter radius of the station, while primary quantitative data were obtained from a purposive sample of 33 respondents (n = 33) who have direct involvement or knowledge of the station area. Descriptive statistics were used to describe existing conditions and respondent characteristics, while correlation and linear regression analyses were applied to examine the influence of TOD on the Integrated Urban Transportation System. The results show a moderate positive relationship between TOD and integrated transportation performance, with a correlation coefficient of r = 0.550. The regression model produces a coefficient of determination of R² = 0.302, indicating that 30.2% of the variation in the Integrated Urban Transportation System can be explained by TOD factors such as accessibility, transport mode integration, land-use optimization, and public facility provision, while the remaining 69.8% is influenced by other variables not captured in the model. Despite these positive results, the findings should be interpreted cautiously due to key limitations, including a small sample size (n = 33) and moderate instrument reliability (Cronbach’s α = 0.602), which may constrain the statistical power and generalizability of the results. From an engineering and planning perspective, the results imply that prioritizing TOD-based interventions such as improving pedestrian access, integrating public transport modes, and coordinating land-use zoning around Cirebon Station can significantly strengthen urban transport integration and reduce reliance on private vehicles. Future work should expand the sample size, improve measurement reliability, and incorporate additional explanatory variables to develop more robust TOD implementation models for corridor-scale urban transport planning.
Structural and Electronic Characterization of Hexose Crystals: Insights into Crystal Packing and Hydrogen-Bonding Based on Crystal Density and Molecular Orbital Analysis Tomoko Takashita; Ryunosuke Takata; Mizuki Aoe; Kei Takeshita; Tomohiko Ishii
Advance Sustainable Science Engineering and Technology Vol. 8 No. 4 (2026): August-October
Publisher : Science and Technology Research Centre Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/asset.v8i4.2712

Abstract

Rare sugars are monosaccharides and their derivatives that occur only in trace amounts in nature, with diverse applications anticipated in food, medicine, and agriculture. In recent years, their structural diversity has attracted increasing attention for potential applications in materials science. Although all hexoses share the same chemical formula (C₆H₁₂O₆), differences in OH group orientation can significantly alter density, crystal packing, and hydrogen bonding patterns. In this study, thirteen hexoses were analyzed to evaluate the relationship between OH group orientation and crystal density, and to quantitatively assess hydrogen bond strength using Bond Overlap Populations (BOP) calculated via the DV-Xα method. The crystal densities ranged from 1.55 to 1.68 g cm⁻³, and the BOP values typically fell within the 10⁻²-electron range, indicating moderate hydrogen bond interactions. These findings quantitatively demonstrate how subtle stereochemical variations govern crystal structures and intermolecular interactions, providing fundamental insights for designing sugar based functional materials.
SI-GEMBUL: A Mobile Nutrition Information System to Strengthen Early Childhood Stunting Detection in Indonesia Vilda Ana Veria Setyawati; Eti Rimawati; Agung Wardoyo; Ririn Nurmandhani; Muhammad Iqbal; Sylvia Anjani; Bambang Agus Herlambang; Vetriselvan Subramaniyan
Advance Sustainable Science Engineering and Technology Vol. 8 No. 4 (2026): August-October
Publisher : Science and Technology Research Centre Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/asset.v8i4.2883

Abstract

Delays in reporting anthropometric data from integrated health posts (Posyandu) to community health centers (Puskesmas) remain a major challenge in Indonesia’s nutrition surveillance system. Existing national applications, such as e-PPGBM and WHO AnthroPlus, are limited to Puskesmas users, restricting early stunting detection at the community level. This study aimed to develop and evaluate a toddler integrated nutrition information system (SI-GEMBUL) as an Android-based application to improve timeliness and accuracy of data reporting. This research employed the Analysis, Design, Development, Implementation, and Evaluation (ADDIE) model. Stakeholders included Posyandu cadres, nutrition officers, and system developers. The application’s functionality was validated through Black-Box Testing, while user implementation involved 44 cadres across several Posyandu within the Halmahera Health Center area of Semarang. The SI-GEMBUL application was successfully developed with four core features: anthropometric data entry, automatic Z-score calculation based on WHO standards, stunting education modules, and direct data transfer to Puskesmas. Implementation demonstrated 100% functional validity and improved reporting timeliness from an average of one week to less than one day. SI-GEMBUL provides an effective, community-based digital solution to strengthen early detection of stunting. 

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