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Mega Novita
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asset@upgris.ac.id
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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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Kota semarang,
Jawa tengah
INDONESIA
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 305 Documents
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Mangrove Biodiversity for Coastal Resilience and Sustainability: A Dynamic Case Study from Indonesia Martuti, Nana Kariada Tri; Jabbar, Abdul; Irsadi, Andin; Sidiq, Wahid Akhsin Budi Nur; Melati, Inaya Sari; Eldin Khair, Amar Sharaf; Mutiatari, Dhita Pracisca
Advance Sustainable Science Engineering and Technology Vol. 8 No. 2 (2026): February-April
Publisher : Science and Technology Research Centre Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/asset.v8i2.2059

Abstract

Mangrove degradation and socio-economic vulnerability in the Kendal coast require an integrated approach. The study used ecological surveys (mangrove vegetation analysis, avifauna) and socio-economic (n=186 households). Integrated Coastal Management (ICM) analysis and model were developed using a dynamic approach, encompassing problem identification, conceptual model formulation, and validation preparation. 14 mangrove species (H' index = 1.58–1.80) and 61 bird species (H' = 3.50) were found. Community participation reached 97%, but women's participation was only 3%, with 58% of households being landless and 61% unproductive land. Infrastructure was severely damaged (36% of roads) and 97% of the area was flooded. The dynamic model of ICM in Kendal Regency highlighted coastal biodiversity conservation, enhanced community capacity and participation, and secure land ownership as the primary drivers of sustainable coastal governance. Despite ongoing pressures from coastal hazards and urban expansion, biodiversity conservation remained the pivotal intervention, sustaining ecosystem integrity, improving household incomes, and reinforcing socio-economic resilience through positive feedback loops within the coastal social–ecological system. 
Lean Manufacturing through VSM and SMED for Waste Reduction in Paper-Based Packaging Yumeling; Suharjito
Advance Sustainable Science Engineering and Technology Vol. 8 No. 2 (2026): February-April
Publisher : Science and Technology Research Centre Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/asset.v8i2.2099

Abstract

This study analyzes the reasons for waste in the production processes of a paper-based food packaging company in Indonesia and proposes improvement measures to make the operations more efficient. Through the application of Value Stream Mapping (VSM) and Single-Minute Exchange of Dies (SMED), three significant waste categories were charted: product defects (24.74%), unnecessary movements (22.23%), and unnecessary inventory (13.29%). Implementation of SMED successfully reduced the time of tool change from 60.24 minutes to 27.12 minutes, a setup time improvement of 54.98%. Pursuit of labeling system improvement as well as putting in place a Just-In-Time (JIT) inventory practice also played an important role in the reduction of wastes and fast responsiveness. Consequently, Process Cycle Efficiency (PCE) increased from 70.37% to 73.41%, production capacity increased by 1,241 units per cycle, and complaint counts for defective products declined appreciably over a period of six months. These results underscore the actual benefits of Lean methods and underscore the standard for performance excellence for the same pursuit of sustainable operational excellence within the same industry.
System Dynamics-Based Industrial Modeling of Aluminium Processing in Indonesia Hadi, Rafli Al; Gunawan, Fergyanto E
Advance Sustainable Science Engineering and Technology Vol. 8 No. 2 (2026): February-April
Publisher : Science and Technology Research Centre Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/asset.v8i2.2196

Abstract

The Indonesian aluminum industry has great potential due to its abundant bauxite reserves, but downstream development to increase added value is still limited. This study uses a dynamic system model to simulate the development of Indonesia's aluminum industry, taking into account variables such as bauxite reserves, production capacity, demand, energy costs, raw material prices, and downstream development barriers. A scenario-based simulation method is applied to evaluate the impact of various policies, including import substitution, increased production capacity, and the use of coal-fired electricity in aluminum smelting plants. The simulation results show that the optimal scenario produces total emissions of 158,276 tons of CO₂eq, total profits of USD 48,321.60 million, and energy consumption of 22,075,800 MWh, which is more efficient than other scenarios. The contribution of this research lies in providing a technical framework for dynamic system modeling to support more measurable and sustainable downstream aluminum industry strategy planning. 
Assessment of Site Development Compliance with GBC Indonesia Greenship Criteria in a Technology Office Complex Cahyo Riyadi, Irfan; Ahmad Husin, Nur; Rahardjo, Budi
Advance Sustainable Science Engineering and Technology Vol. 8 No. 2 (2026): February-April
Publisher : Science and Technology Research Centre Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/asset.v8i2.2452

Abstract

The increasing demand for land in urban development highlights the urgent need for sustainable construction practices. While green building concepts have gained global traction, the application of appropriate site development remains understudied in the Indonesian context. This study evaluates the implementation of the Appropriate Site Development (ASD) category based on the Greenship New Building v1.2 rating tool developed by the Green Building Council Indonesia (GBCI), using the Techno Building at the BRI IT Center in Jakarta as a case study. A descriptive-evaluative method was applied to assess compliance across seven criteria within the ASD category. Initial findings revealed a score of 12 out of 17 possible points, with deficiencies identified in public transportation (1/2 points), bicycle facilities (0/2), and microclimate (1/3). After proposing improvements, such as shuttle services, bicycle parking, and the use of high-albedo materials, the building achieved full compliance with 17/17 points. These results indicate that although external constraints exist (e.g., regulatory and geographic limitations), internal strategies can substantially improve green building certification outcomes. The study highlights the critical role of early site planning and internal design adjustments in achieving sustainability benchmarks.
Mechanical Performance of Recycled Plastic-Based Paving Blocks with Sand and Fly Ash Fillers Qomaruddin, Mochammad; Fakhriyan, Adi Noor; Saputro, Yayan Adi; Priastiwi, Yulita Arni; Fatchur Roehman; Nasyiin Faqih; Arif Hidayat; Akhmad Firdos Khoiril Khitam
Advance Sustainable Science Engineering and Technology Vol. 8 No. 2 (2026): February-April
Publisher : Science and Technology Research Centre Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/asset.v8i2.2664

Abstract

The use of recycled plastic waste as a binder for paving blocks has been reported in a number of previous studies. However, most of these studies focus on feasibility and do not clearly explain how different plastic types behave mechanically over time. In this study, the compressive strength performance of paving blocks made from polypropylene (PP), polyethylene terephthalate (PET), and high-density polyethylene (HDPE) was experimentally compared using sand or fly ash as fillers. All mixtures were prepared with a fixed composition of 60% plastic and 40% aggregate. Compressive strength testing was carried out at 28 and 56 days using three specimens for each mix. The results show that the HDPE–sand mixture achieved the highest compressive strength at 28 days, reaching 15.7 MPa. Nevertheless, a noticeable reduction in strength was observed at 56 days, particularly in the HDPE-based mixtures. This reduction is mainly associated with polymer shrinkage and the development of interfacial stresses between the plastic binder and the aggregates. Overall, the results indicate that plastic-based paving blocks can meet the requirements of SNI 03–0691–1996 for light-duty applications, although their long-term mechanical stability remains a limitation that needs further attention.
Oligonuclear Cobalt Assembly with Schiff-base Ligands Mikuriya, Masahiro; Naka, Yuko; Handa, Makoto; Tsuboi, Motohiro
Advance Sustainable Science Engineering and Technology Vol. 8 No. 2 (2026): February-April
Publisher : Science and Technology Research Centre Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/asset.v8i2.2730

Abstract

In order to develop molecular magnetic compounds, oligonuclear cobalt complexes with Schiff-base ligands, 1,3-bis(salicylideneamino)-2-propanol (H3salpr), 1,3-bis(5-chlorosalicylideneamino)-2-propanol (H3clsalpr), 1,3-bis(5-bromosalicylideneamino)-2-propanol (H3brsalpr), and 1,3-bis(5-nitrosalicylideneamino)-2-propanol (H3pnsalpr), were synthesized by reaction of cobalt(II) acetate and Schiff-base ligand in organic solvent. The molecular structures of [CoII{CoIII(µ-HL)(µ-CH3COO)(CH3COO)}2] (HL = Hsalpr and Hbrsalpr), [CoII{CoII(µ-Hsalpr)(µ-CH3COO)}2], and [CoIII2CoII4(µ-L)2(µ3-CH3O)2(µ-CH3O)6(CH3OH)2] (L = salpr, clsalpr, brsalpr, and pnsalpr) were elucidated by the single-crystal X-ray crystallography. The electronic spectra and magnetic susceptibilities with variable-temperature are in accordance with the trinuclear and hexanuclear molecular structures. The cyclic voltammograms are basically featureless, giving a clue to isolate reduced complexes [CoII{CoII(µ-Hsalpr)(µ-CH3COO)}2] and [CoII2(Hpnsalpr)2(CH3OH)]. These findings may guide future design of molecular magnet materials.
Optimization of Coconut Fiber and Styrofoam Composition in Concrete to Improve Strength and Sound Absorption Purwanto; Firmawan, Ferry; Ahmad, Fahrudin; Purwanti, Hani; Husna, Aimmatul; Darus, Nadirah; Haron, Zaiton; Yahya, Khairulzan
Advance Sustainable Science Engineering and Technology Vol. 8 No. 2 (2026): February-April
Publisher : Science and Technology Research Centre Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/asset.v8i2.2752

Abstract

This study aimed to evaluate the effect of coconut husk and Expanded Polystyrene (EPS) composition on the mechanical and acoustic properties of lightweight concrete. The research was conducted experimentally using a two-way factorial design with coconut husk variations of 0%, 0.5%, 1%, 1.5%, and 2% of cement weight and EPS variations of 0%, 10%, 20%, and 30% of coarse aggregate volume. A total of 20 mix variations (5 coir levels × 4 EPS levels) were prepared with three replications for each test, resulting in 120 specimens. Compressive strength was tested at 7 days following ASTM C39, while sound absorption was measured at frequencies of 100–2000 Hz based on ISO 10534-2. The results showed that the addition of coconut husk up to 1% improved compressive strength through fibre reinforcement, whereas increasing EPS content enhanced sound absorption due to higher porosity but reduced mechanical strength. Statistical analysis using ANOVA (R² = 0.94, p < 0.05) and desirability optimisation identified the optimal composition at 1% coconut husk and 10% EPS. The developed lightweight concrete is suitable for non-structural building components requiring improved acoustic performance and reduced weight.
Analysis for Non-covalent Bonds in Protein Structures Using the DV-Xα Method Kajiyama, Takeru; Aramaki, Kota; Kanazaki, Kohei; Matsushima, Ayami
Advance Sustainable Science Engineering and Technology Vol. 8 No. 2 (2026): February-April
Publisher : Science and Technology Research Centre Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/asset.v8i2.2757

Abstract

Halogen atoms are increasingly recognized for their ability to form non-covalent halogen bonds in protein–ligand complexesy. To systematically evaluate these interactions, we employed the DV-Xα method to calculate bond overlap populations (BOPs) in protein structures containing halogenated ligands. Using the Protein Data Bank, we identified thousands of entries with fluorine, chlorine, bromine, or iodine atoms. Structural coordinates were extracted around the chlorine atoms of the ligand and subjected to ab initio calculations under multiple truncation schemes. The findings highlight the utility of DV-Xα calculations in characterizing weak interactions and provide insights for future computational drug design employing halogen-containing compounds.
Comparative Evaluation of Parameter-Efficient Fine-Tuning Strategies for Continual Image Classification Nancy Agarwal; Alok Singh Chauhan; Patrick Bours
Advance Sustainable Science Engineering and Technology Vol. 8 No. 2 (2026): February-April
Publisher : Science and Technology Research Centre Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/asset.v8i2.2787

Abstract

Catastrophic forgetting remains a major challenge in continual transfer learning, where performance on earlier tasks degrades after sequential adaptation. While full fine-tuning updates all parameters and achieves strong performance on new tasks, it is computationally expensive and prone to forgetting. This study compares parameter-efficient fine-tuning (PEFT) methods—adapters, additive learning, side-tuning, LoRA, and zero-initialized layers—against full fine-tuning on CIFAR-100 using a two-stage protocol: task-A (classes 0–49) followed by task-B (classes 50–99), evaluated on ResNet-18 and ResNet-50. Results are reported as mean ± standard deviation over three runs (n = 3), with retention measured using a Swapback-based recall method that distinguishes true forgetting (Δ). Across both architectures, all PEFT methods maintain task-A knowledge (Δ = 0.00), while full fine-tuning exhibits forgetting (Δ = 0.31 on ResNet-18; Δ = 0.20 on ResNet-50). PEFT methods achieve competitive task-B performance while updating only 0.22–4.49% of parameters. Notably, LoRA on ResNet-50 achieves the highest task-B accuracy (0.82) with only 0.93% parameter updates and no forgetting, slightly outperforming full fine-tuning (0.81). These findings highlight PEFT as an efficient and stable alternative for scalable continual transfer learning.
Evaluating Civil Servant Selection through Machine Learning Analysis of National Insight, General Intelligence, and Personal Characteristics Test Scores Fauzan Nur Adillah, Muhammad; Suakanto, Sinung; Ichsan Utama, Nur
Advance Sustainable Science Engineering and Technology Vol. 8 No. 2 (2026): February-April
Publisher : Science and Technology Research Centre Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/asset.v8i2.2300

Abstract

This study analyzes the score distribution of 2,490 candidates in the 2024 Ministry of Finance Public sector recruitment, focusing on the CNI, GIT, and PCT sections using machine learning classification. Models used include Logistic Regression (accuracy 0.7897), Random Forest (0.9779), and XGBoost (0.9809), all trained with default parameters (n_estimators=100, max_depth=None) and evaluated using accuracy, precision, recall, and F1-score. While ensemble models outperformed Logistic Regression, the presence of false negatives—especially in the latter—reveals structural imbalances in test design. PCT scores dominate the total, while CNI and GIT show limited variation. These patterns suggest the need to revise PCT items with more complex ethical scenarios and enhance CNI and GIT content for better discrimination. This study contributes to improving test validity and fairness using empirical, data-driven methods. The findings support broader policy reforms toward more meritocratic and competency-aligned recruitment in Indonesia's civil service.

Page 30 of 31 | Total Record : 305

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