cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
-
Contact Email
-
Phone
-
Journal Mail Official
-
Editorial Address
-
Location
Kota yogyakarta,
Daerah istimewa yogyakarta
INDONESIA
International Journal of Advances in Applied Sciences
Published by Institute of Advanced Engineering and Science
ISSN : 22528814     EISSN : 27222594     DOI : http://doi.org/10.11591/ijaas
Core Subject : Science, Education, Social,
Earth & Planetary Sciences Environmental Science Materials Science & Nanotechnology Mathematics Physics
International Journal of Advances in Applied Sciences (IJAAS) is a peer-reviewed and open access journal dedicated to publish significant research findings in the field of applied and theoretical sciences. The journal is designed to serve researchers, developers, professionals, graduate students and others interested in state-of-the art research activities in applied science areas, which cover topics including: chemistry, physics, materials, nanoscience and nanotechnology, mathematics, statistics, geology and earth sciences.
Arjuna Subject : -
Articles 758 Documents
 71   72   73   74   75 
Numerical comparison of mathematical modeling approaches on the performances of link coupling beams Musbar Musbar; Hanif Hanif; Khairul Miswar
International Journal of Advances in Applied Sciences Vol 15, No 2: June 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijaas.v15.i2.pp861-871

Abstract

The precision of inelastic steel-link response predictions in eccentrically braced frames (EBFs) is contingent on the material model employed. In the absence of comprehensive guidelines concerning constitutive choices for long-link coupling beams (LCBs), this study undertakes a comparative analysis of four models through nonlinear finite element simulations of three American Institute of Steel Construction (AISC) 341-22–compliant specimens under cyclic loading conditions in Ansys. Two mathematical formulations (Ramberg–Osgood and Kaufmann cyclic) and two plasticity-based formulations (multilinear kinematic hardening and isotropic hardening) were evaluated for shear strength, overstrength, and plastic rotation capacity. Mathematical models consistently generate stable hysteresis with uniform stiffness degradation, while plasticity-based models exhibit greater variability. It was observed that all specimens exceeded the nominal shear strength of 271.98 kN, attaining peak strengths of 350.72–391.86 kN (overstrength 1.29–1.44). The plastic rotations range from 0.039 to 0.051 rad, which exceeds the minimum requirement of 0.02 rad for long links. The Kaufmann cyclic model, when combined with multilinear kinematic hardening, has been shown to optimally reproduce key EBF hysteretic behavior. This advancement in model selection for numerical assessment and improvement in seismic performance predictions in performance-based design is a significant contribution to the field.
Semantic clustering of scientific abstracts with transformer embeddings and traditional text representations Musthofa Galih Pradana; Pujo Hari Saputro; Ardhyansyah Mualo; Arbiati Faizah; Wahyuni Fithratul Zalmi
International Journal of Advances in Applied Sciences Vol 15, No 2: June 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijaas.v15.i2.pp532-540

Abstract

The large and diverse quantity of scientific documents in the world, and specifically in Indonesia, makes the process of processing scientific document data an interesting study. One that represents the entire scientific document is through abstracts. The approach that can be done for the process of processing and grouping documents is to apply clustering. In this case, text-based clustering is currently heavily influenced by the feature representation of the text data used. Some popular representations of features are term frequency-inverse document frequency (TF-IDF) and count vectorizer, but they still have significant weaknesses in the context of understanding the meaning of natural language. To cover the drawbacks, it can use transformers or embedding types. In this study, several test scenarios will be carried out to obtain information and an overview of how to compare the effectiveness of the traditional TF-IDF model and the bidirectional encoder representations from transformers (BERT) and sentence bidirectional encoder representations from transformers (SBERT) embedding models in Indonesian-language scientific abstract clustering with several clustering models, such as k-means and agglomerative. The results of the study showed that the most effective clustering obtained was by using an embedding model of a combination of BERT and k-means, which was the most consistent with the most optimal number of clusters being 2 clusters.
Assessment on the performance of bifacial monocrystalline solar photovoltaic panels in residential areas in Pampanga, Philippines Edgardo M. Santos
International Journal of Advances in Applied Sciences Vol 15, No 2: June 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijaas.v15.i2.pp820-829

Abstract

This research compared bifacial photovoltaic (BPV) in Pampanga households in limiter-only, hybrid battery, and net-metering. To evaluate the energy output, performance ratio (PR), and grid dependency, seven setups (5.65-12.5 kWp) were monitored over 31-37 days with the help of data loggers. The net-metered system of 12.5 kWp became fully independent of the grid and produced 206% of the household demands. The most ideal PR (75.17%) was achieved at the 7 kWp net-metered system. Battery-based hybrid systems minimized grid reliance by 56% and systems based on limiters obtained half supply. Net-metered configurations considerably beat the other configurations (p <0.001). Results prove that BPV is viable in tropical homes, which endorses sustainable development goals (SDGs) 7 and SDG 13.
An integrated EHS-based risk assessment framework for hazardous substance storage: regulatory gap analysis in Thailand Hengheng Jarunongkran; Therdpong Daengsi
International Journal of Advances in Applied Sciences Vol 15, No 2: June 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijaas.v15.i2.pp555-572

Abstract

This study examines hazardous substance storage risk assessment within the environmental, health, and safety (EHS) framework, focusing on Thailand’s regulatory context. Using a systematic review and comparative regulatory analysis, the research evaluates existing risk assessment methodologies and identifies structural and implementation gaps in current practices. The findings reveal deficiencies in the integration of toxicological data with legal requirements, fragmented regulatory enforcement, limited standardization, and insufficient practical tools for workplace application. A comparative assessment of international frameworks, including European Union Registration, Evaluation, Authorization, and Restriction of Chemicals (EU REACH), United States Occupational Safety and Health Administration (US OSHA), and Japan’s Chemical Substances Control Law (CSCL), highlights best practices in proactive risk management and transparency. Based on these insights, the study proposes an integrated EHS-based risk assessment framework that aligns Department of Industrial Works (DIW) regulations with international standards such as ISO 14001, ISO 45001, and globally harmonized system (GHS). The proposed model supports proactive risk identification, regulatory coherence, and improved stakeholder awareness, contributing to enhanced chemical safety governance and ASEAN harmonization.
Estimating road transport emissions in Thailand using data-driven modeling approaches Phachaya Chaiwchan; Kunyanuth Kularbphettong
International Journal of Advances in Applied Sciences Vol 15, No 2: June 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijaas.v15.i2.pp501-517

Abstract

Traffic emissions remain a pivotal factor in Bangkok’s air quality issues, particularly as the city expands and vehicle types become more varied and traditional emission-inventory tools, such as Computer Programme to Calculate Emissions from Road Transport (COPERT) and laboratory driving cycles, are useful but often fall short when applied to congested real-world conditions. This work responds to that gap by combining laboratory measurements, regulatory emission factors, and vehicle-registration information to estimate CO2 emissions at the vehicle level. Data from 1,846,111 registered vehicles (January 2023–January 2025) were consolidated from Environmental Protection Agency (EPA) fuel-economy tests, COPERT/Euro standards, and the Thai DLT registry. After harmonizing attributes across all sources, additional features were created and screened using recursive feature elimination (RFE). Three models were trained and evaluated using coefficient of determination (R2), root mean square error (RMSE), and mean absolute error (MAE). CatBoost provided the most reliable predictions (RMSE =23.4 g/km; MAE =14.6 g/km; R2 =0.921), followed by deep neural network (DNN) (R2 =0.887) and support vector regression (SVR) (R2 =0.846). RFE consistently identified fuel consumption measures, emission factors, and tailpipe CO2 as the most influential variables and the results provide a clearer picture of how vehicle technologies contribute to Bangkok’s CO2 burden and support policy measures such as emission taxes, incentives for low-emission vehicles, and monitoring of high-emission groups.
Bioinsecticide-based malaria control strategy: epidemiological implications and environmental sustainability Mei Ahyanti; Prayudhy Yushananta
International Journal of Advances in Applied Sciences Vol 15, No 2: June 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijaas.v15.i2.pp634-645

Abstract

Anopheles mosquitoes are the main vector of malaria, which remains a global health problem. This study aims to evaluate the effectiveness of various types of plants as bioinsecticides on the mortality of Anopheles larvae based on variations in extract concentration and exposure time. The experimental study design used a completely randomized factorial design. The variables were studied in bioinsecticide formula consisting of 66 levels; 3 levels of concentration and contact time to Anopheles larvae. The number of replications was four times following the Foreder formula. The study was conducted at the Parasitology Laboratory from January to June 2025. Findings showed the factors of plant type (p <0.001), extract concentration (p <0.001), and exposure time (p <0.001) had a significant effect on the level of larval mortality. The interaction between plant type and concentration showed a synergistic effect, where the effectiveness of the bioinsecticide increased with the right combination. Longer exposure times also significantly increased the larval mortality rate. The results of this study indicate that the use of plants as bioinsecticides can be a potential alternative in malaria vector control. The study suggests that plant-based bioinsecticides can effectively combat malaria by enhancing effectiveness through synergistic interactions between plant species, extract concentration, and exposure duration.
Predictive modeling of regional economic growth using agricultural and socioeconomic indicators Septafiansyah Dwi Putra; Feri Utomo; Fitriani Fitriani; Irmayani Noer; Heriansyah Heriansyah
International Journal of Advances in Applied Sciences Vol 15, No 2: June 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijaas.v15.i2.pp872-882

Abstract

Economic growth and food security are closely interconnected dimensions of sustainable regional development, particularly in agrarian regions such as Lampung Province, Indonesia. However, conventional analytical approaches often fail to capture the complex and nonlinear relationships between agricultural productivity and socio-economic conditions. This study aims to analyze the determinants of regional economic growth by integrating agricultural and socio-economic indicators using a random forest–based modeling framework. Secondary panel data from 15 districts over the period 2014–2024 were analyzed, comprising 165 observations and 14 explanatory variables. The results show that agricultural production plays a dominant role, with rice production and harvested area contributing approximately 39.8% and 34.7% of total feature importance, respectively. The model achieved strong predictive performance with a coefficient of determination (R2) of 0.68 and root mean squared error (RMSE) of 6,346.82, indicating that the selected variables explain a substantial portion of gross regional domestic product (GRDP) variation. Socio-economic factors, including poverty rate, per capita expenditure, and human development index (HDI), also contribute meaningfully to regional economic outcomes. These findings highlight the importance of integrating agricultural productivity with social development policies to achieve inclusive and sustainable economic growth. The proposed approach provides a data-driven framework to support regional policy formulation and improve food security strategies.
Histopathology liver of the Mus musculus based on the intensity of induction time of ciu alcoholic beverages Magdalena Budi Verena Putri; Fitria Diniah Janah Sayekti
International Journal of Advances in Applied Sciences Vol 15, No 2: June 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijaas.v15.i2.pp741-748

Abstract

The ciu alcoholic drink is a drink made from molasses that is fermented and undergoes a distillation process to obtain 25% ethanol that can cause liver’s damage. The purpose of this study was to determine the difference in the histopathological effect of the liver of Mus musculus treated with different periods. This study was experimental with 5 treatment groups, including negative control and 4 treatments of ciu, a traditional alcoholic drink by administering 0.6 ml/25 g for 3, 7, 14, and 30 days. The results of macroscopic observations showed that there was a difference between the control group and the ciu treatment, namely, the liver was brownish red when given the ciu alcoholic drink for 3 days and the liver organs were blackish red when given for 7 days, and on the liver weight, the longer the ciu traditional alcoholic drink is given, the greater the liver weight. The results of the significant value of the analysis of variance (ANOVA) test were 0.000, so it can be seen that the administration of the traditional alcoholic drink ciu can affect the histopathological of the mice liver, where the organ that is given ciu alcoholic beverages progressively causes tissue damage such as degeneration and necrosis.
Effects of Phaleria macrocarpa and Averrhoa bilimbi L. on fasting blood glucose in diabetic rats Laila Sholehah; Fathurrahman Fathurrahman; Niken Widyastuti Hariati; Aprianti Aprianti
International Journal of Advances in Applied Sciences Vol 15, No 2: June 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijaas.v15.i2.pp732-740

Abstract

Traditional ingredients have been proven to contain many substances that can be used to prevent and treat diabetes. This study aimed to investigate the effects of a combination of Phaleria macrocarpa and Averrhoa bilimbi L. extracts on fasting blood glucose levels. A randomized, post-test-controlled group design was used. Type 2 diabetes mellitus was induced in 36 Sprague Dawley rats by feeding them a high-fat diet for 2 weeks, followed by the administration of streptozotocin (STZ) and nicotinamide to induce type 2 diabetes mellitus. The rats were divided into six groups. The treatment was administered for 21 days, and fasting blood glucose levels were measured. The data were analyzed using one-way analysis of variance (ANOVA). The combined dose of Phaleria macrocarpa and Averrhoa bilimbi L. extract effectively reduced fasting blood glucose levels over 21 days. Group T1 demonstrated the highest efficacy and did not differ significantly from that of the C+ group. The effective dosage that influenced fasting blood glucose levels was a combination of Phaleria macrocarpa at 750 mg/kg W/day and Averrhoa bilimbi L. at 375 mg/kg. Phaleria macrocarpa and Averrhoa bilimbi L. extract have a synergistic effect, making them a promising natural medication for controlling blood glucose levels.
Program defect prediction model based on topology aware node evaluation pool graph topology model Dan Li; Poh Soon JosephNg; Peng Yin Choo; Koo Yuen Phan; Wong See Wan
International Journal of Advances in Applied Sciences Vol 15, No 2: June 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijaas.v15.i2.pp583-593

Abstract

Traditional fuzzing struggles with efficiency, as maximizing code coverage does not guarantee the discovery of additional vulnerabilities. To solve this, the study introduces topology-aware node evaluation (TANE-Pool), a deep learning model that proactively predicts defects to guide the fuzzing process. The model analyzes the structural properties of a program’s attributed control flow graph (ACFG) via a diffusion attention mechanism. This process identifies fragile code regions and generates a static vulnerability score (SVS) for each basic block. The fuzzer then uses this score to prioritize test cases, concentrating its efforts on the areas most likely to contain flaws. Evaluated on the Juliet test suite and a set of real-world programs, TANE Pool demonstrates superior prediction accuracy. Its integration into a fuzzer significantly enhances the rate of vulnerability discovery, proving that a defect-prediction-guided approach is a more efficient and effective strategy for software security testing.

Page 73 of 76 | Total Record : 758

 71   72   73   74   75 

Filter by Year

2012 2026


Reset
Filter By Issues
All Issue Vol 15, No 2: June 2026 Vol 15, No 1: March 2026 Vol 14, No 4: December 2025 Vol 14, No 3: September 2025 Vol 14, No 2: June 2025 Vol 14, No 1: March 2025 Vol 13, No 4: December 2024 Vol 13, No 3: September 2024 Vol 13, No 2: June 2024 Vol 13, No 1: March 2024 Vol 12, No 4: December 2023 Vol 12, No 3: September 2023 Vol 12, No 2: June 2023 Vol 12, No 1: March 2023 Vol 11, No 4: December 2022 Vol 11, No 3: September 2022 Vol 11, No 2: June 2022 Vol 11, No 1: March 2022 Vol 10, No 4: December 2021 Vol 10, No 3: September 2021 Vol 10, No 2: June 2021 Vol 10, No 1: March 2021 Vol 9, No 4: December 2020 Vol 9, No 3: September 2020 Vol 9, No 2: June 2020 Vol 9, No 1: March 2020 Vol 8, No 4: December 2019 Vol 8, No 3: September 2019 Vol 8, No 2: June 2019 Vol 8, No 1: March 2019 Vol 7, No 4: December 2018 Vol 7, No 3: September 2018 Vol 7, No 2: June 2018 Vol 7, No 1: March 2018 Vol 6, No 4: December 2017 Vol 6, No 3: September 2017 Vol 6, No 2: June 2017 Vol 6, No 1: March 2017 Vol 5, No 4: December 2016 Vol 5, No 3: September 2016 Vol 5, No 2: June 2016 Vol 5, No 1: March 2016 Vol 4, No 4: December 2015 Vol 4, No 3: September 2015 Vol 4, No 2: June 2015 Vol 4, No 1: March 2015 Vol 3, No 4: December 2014 Vol 3, No 3: September 2014 Vol 3, No 2: June 2014 Vol 3, No 1: March 2014 Vol 2, No 4: December 2013 Vol 2, No 3: September 2013 Vol 2, No 2: June 2013 Vol 2, No 1: March 2013 Vol 1, No 4: December 2012 Vol 1, No 3: September 2012 Vol 1, No 2: June 2012 Vol 1, No 1: March 2012 More Issue