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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
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Predicting Indonesian academician turnover intention: validity and reliability analysis Faisal Al Abid; Aryati Bakri; Hasin Jawad Ali; Darmawan Satyananda; Shefayatuj Johara Chowdhury; Jia Uddin
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.pp479-489

Abstract

This study evaluates Indonesian academic turnover intention (TOI) by analyzing demographic and work-related factors through feature selection methods and utilizes random forest (RF) as a baseline classifier for TOI prediction, while applying statistical methods to ensure the reliability of the collected primary dataset. The main advantage of this approach is to find out the importance of these factors with statistical validation to reliably investigate Indonesian academicians’ TOI. Feature selection methods such as information gain (IG) and SelectKBest were used to find out feature importance, while the reliability of the dataset was assessed through statistical approaches such as Cronbach alpha, confirmatory factor analysis (CFA), average variance extracted (AVE), and consistency ratio (CR). To test the importance of demographic and work-related factors, Python was used as an implementation tool for the Indonesian academic TOI dataset (IRB reference: 19.12.4/UN32.14/PB/2024), comprising 527 samples. The superiority of the importance of work-related factors in contrast to demographic factors was consistently demonstrated by feature selection methods, and a statistical approach confirmed the reliability of the collected primary dataset, consequently ensuring the robustness of the findings. It is envisaged that this approach can be very useful for human resource (HR) departments to pay more attention to the important demographic factors for reducing Indonesian academic TOI.
The physiological and ecological characteristics of some phytoremediation plants for wastewater treatment: a review Sri Sumiyati; Anik Sarminingsih; Budi Warsito
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.pp705-717

Abstract

Phytoremediation has emerged as an effective method for mitigating heavy metal contamination in waterways. This study synthesizes literature to assess the physiological and ecological characteristics enhancing the efficiency of five plant species traditionally recognized for their phytoremediation potential: Napier grass (Pennisetum purpureum), Phragmites australis, Typha spp., Pistia stratiotes, and Eichhornia crassipes. A systematic review methodology was utilized, focusing on data from Proquest, EBSCO, and Scopus, prioritizing studies based on pollutant absorption capacities, publication quality, and recency. Key parameters examined include the identification of plant species, growth conditions, pollutant absorption efficiency, ecological roles, and physiological characteristics. Phragmites australis is noted for its nutrient uptake and sediment stabilization, while Eichhornia crassipes demonstrates high heavy metal absorption and rapid growth. Pistia stratiotes effectively removes heavy metals and enhances water quality, and Typha spp. aids in nutrient removal while providing habitat. Napier grass contributes to biomass production and soil stabilization. The integration of these species into wastewater treatment systems not only improves water quality but also fosters sustainability and ecological health. This study emphasizes the potential utility of these plants in environmental management initiatives, highlighting the necessity for careful monitoring to mitigate associated ecological risks.
Analysis of weight loss rate, color, sugar content, and total acidity in tomatoes during storage with edible coating Rafli Zulfa Kamil; Fahira Adibah Thalib; Nurwantoro Nurwantoro; Fariz Nurmita Aziz; Heni Rizqiati; Nurul Hasniah
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.pp696-704

Abstract

Tomatoes, as climacteric fruits, offer numerous advantages, making them popular among many individuals. However, they are prone to mechanical and microbiological harm, which is why applying an edible coating is a viable post-harvest handling technique for tomatoes. A combination of corn starch, chitosan, and glycerol serves as an effective edible coating, with corn starch providing hardness, chitosan offering antimicrobial properties, and glycerol acting as a plasticizer. This research seeks to assess the rate of weight loss, color, sugar content, and total acidity in tomatoes during storage with an edible coating. The preparation of the edible coating involves using 2% (w/v) corn starch, 1.5% (w/v) chitosan dissolved in 0.5% (w/v) acetic acid, and 0.25% (w/v) glycerol. The tomatoes were immersed in the edible coating twice, with each immersion lasting 1 minute and a drying period of 5 minutes. Subsequently, the tomatoes were stored for 15 days, with observations made every 5 days. The edible coating has been shown to slow down the deterioration of tomatoes during storage by forming a barrier that restricts the movement of water and air, which are essential for the physicochemical reactions involved in the tomato ripening process.
Westernization and preservation: an appropriated edutourism application as educational media for archaeological sites in Bedulu, Bali Putu Sabda Jayendra; Gusti Ayu Dessy Sugiharni; Gusti Ngurah Yoga Semadi
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.pp541-554

Abstract

The commercialization of tourism developing in West Bali poses risks that can damage the cultural identity not only of the island but, more crucially, of archaeological sites of cultural value. This research aims to develop a glocal educational tourism application for the Bedulu archaeological sites that offers a cultural alternative to the homogenization of the island's tourism culture. The novelty of this research lies in the combination of integrated digital storytelling for social media (IDSM) and advanced interactive digital storytelling (A-IDS), with a design approach that eliminates colonization and is community-centered. Using the Borg and Gall model, which is limited to the planning stage, data for this research were collected through literature review, field observation, surveys of 30 subjects, and semi-structured interviews with 5 purposively selected key informants (site managers, archaeologists, and user interface (UI)/user experience (UX) designers), as well as community co-design workshops. This research resulted in a cultural content map and a prototype application, which is the first in the world, and serves as an operational glocalization model, the first in the world to become a model for intergenerational educational digital heritage literature, for inclusive community development, and sustainable Balinese cultural heritage.
Increasing the efficiency of deep learning performance using adaptive filters Suad Khairi Mohammed; Sabah A. Gitaffa; Reem I. Dawai
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.pp775-789

Abstract

Deep learning algorithms have become one of the most important innovative technologies that have entered almost all areas of life. These technologies perform complex operations and deal with huge data sets. One of the benefits of deep learning is the inherent flexibility in developing approximate estimates for vast and diverse data sets. Data scientists can develop approximate estimates of almost anything using deep learning and neural networks. The main challenges in deep learning include the problem of data quality and quantity while ensuring large, diverse, and high-quality datasets. It also suffers from the problem of providing computational resources due to the high demand for powerful devices, such as processing and memory units. Additionally, it suffers from the problem of interpretability of the case due to difficulty in understanding and explaining typical decisions. This study proposes an innovative method to reduce these problems in the working mechanisms of deep learning algorithms by merging their layers and hybridizing them using adaptive digital filters. These filters help provide devices for efficient resources and memory units, in addition to the capabilities of analyzing and interpreting various states of processing unit availability. In this study, models of hybrid deep learning techniques with adaptive digital filters were designed and implemented, obtaining good results in reducing training error rates, improving the efficiency of outputs, and reducing the computational effort to high levels.
Multi-level redundancy with internet of things battery supply for fault mitigation in grid-tied photovoltaic systems Habib Satria; Muhammad Fadlan Siregar; Indri Dayana; Dadan Ramdan; Muhammad Irwanto; Syafii Syafii
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.pp622-633

Abstract

The development of grid-tied photovoltaic (PV) systems in tropical regions remains a strategic focus for achieving sustainable clean energy. However, energy conversion efficiency is often hampered by fluctuations in panel surface temperature and electrical faults. To ensure long-term system reliability, this study implements a multi-level redundancy architecture integrated with dynamic internet of things (IoT) monitoring for fault mitigation in grid-tied PV systems. The system employs a machine learning (ML) method using the k-nearest neighbors (KNN) algorithm for thermal classification, achieving an accuracy of 84% in identifying normal (25 °C to 35 °C) and overheating conditions. Furthermore, an electrical redundancy layer is designed with an automatic tripping mechanism that activates when the current exceeds a 1.30 A threshold, demonstrating a rapid response latency of 150 ms. To ensure monitoring resilience, the system is supported by a dedicated 18650 Li-ion battery backup. The implementation results confirm that this multi-level protection framework effectively monitors real time energy usage, prevents critical component damage, and enhances the overall safety of household-scale PV installations. This research provides a scalable and intelligent solution for fault mitigation, supporting the broader adoption of renewable energy in tropical environments.
Phytoarchitecture for buildings based on photosynthetic pathways to combat volatile organic compounds Ganjar Samudro; Harida Samudro; Dwi Rinnarsuri Noraduola; Sarwoko Mangkoedihardjo; Azzah Nazihah Che Abdul Rahim
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.pp677-686

Abstract

Volatile organic compounds (VOCs) originating from construction materials and human activities present considerable health hazards in indoor settings. Phytoarchitecture provides a sustainable approach by incorporating vegetation into architectural design to effectively mitigate pollutants. This research seeks to define criteria for plant positioning according to photosynthetic pathways (C3, C4, and crassulacean acid metabolism (CAM)) to optimize VOC absorption. Employing a systematic literature review methodology, data on plant physiology, and leaf morphology were examined to establish a design framework. The findings suggest that the positioning of plants should be based on their stomatal opening cycles: CAM plants, which absorb carbon dioxide at night, are optimal for indoor bedrooms, whereas C3/C4 plants are more appropriate for daytime active areas and outdoor facades. Additionally, plants exhibiting narrow leaf profiles and elevated stomatal density exhibit enhanced VOC removal efficacy. It was determined that synchronizing architectural design with plant photosynthetic cycles establishes an efficient, passive air purification system that improves both indoor environmental quality (IEQ) and building aesthetics.
Improving warehouse efficiency of sparepart storage through comparison of dedicated and class-based storage methods Prayoga Prima Hermawan; Qurtubi Qurtubi
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.pp470-478

Abstract

Warehouses play a crucial role in supporting the efficiency of supply chain operations, especially in material management and goods movement. However, in a company engaged in the paper printing and recycling industry, inefficiency in searching and retrieving goods in the spare parts warehouse is a major challenge, with a sub-optimal layout hampering smooth operations. This research offers a new perspective by evaluating the effectiveness of two storage methods, namely class-based storage and dedicated storage, in the context of spare parts warehouses that have different layout characteristics. This study aims to compare the two methods in improving material-handling efficiency and optimizing warehouse layout. The results show that the class-based storage method is more effective in reducing travel distance and material-handling time than dedicated storage. In addition, this method can improve operational efficiency and support the smooth production process through the arrangement of goods based on picking frequency. The theoretical implications of this research contribute to the development of warehousing management literature, while practically, the results of this study can serve as a guide for industries in implementing more efficient warehouse layout strategies.

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