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International Journal of Applied Sciences and Smart Technologies
Published by Universitas Sanata Dharma
ISSN : 26558564     EISSN : 26859432     DOI : 10.24071/ijasst
Core Subject :
nternational Journal of Applied Sciences and Smart Technologies (IJASST) is published by Faculty of Science and Technology, Sanata Dharma University Yogyakarta-Central Java-Indonesia. IJASST is an open-access peer reviewed journal that mediates the dissemination of academicians, researchers, and practitioners in engineering, science, technology, and basic sciences which relate to technology including applied mathematics, physics, and chemistry. IJASST accepts submission from all over the world, especially from Indonesia
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Articles 16 Documents
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Technical and Cost Barriers in Accessing Smart Educational Technologies in Rural Areas Nusrat Jahan
International Journal of Applied Sciences and Smart Technologies Vol. 8 No. 1 (2026): Volume 08, Issue 1, June 2026
Publisher : Faculty of Science and Technology, Universitas Sanata Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24071/zmktva33

Abstract

This research study explore how data costs and technical issues affect the use of LowDataMode, based on insights from 100 people living in a resource-limited setting. Using chi-square tests and logistic regression, I analyzed how device types, network access, barriers, and platform usability influence LowDataMode use. Results shows high data consumption (41%) as the primary barrier, significantly linked to LowDataMode use (p = 0.023), with marginal significance in regression (p = 0.086). Technical barriers, including lack of affordable devices (28%) and offline learning options (19%), hinder adoption, particularly for shared family device and laptop/desktop users (p = 0.052). 3G users (55%) face greater data cost challenges, while Wi-Fi users (15%) rarely need LowDataMode. Higher platform usability was associated with a greater likelihood of skipping LowDataMode (β = 1.48, p = 0.008), suggesting that intuitive, feature‑rich apps may encourage more data‑intensive activity and thus raise users’ data costs. And, non-significant was technical barriers include network stability (p = 0.315) and technical problems (p = 0.545).
Modelling and Analysis of Ziegler-Nichols PID Tuning on Water Tank Control System Regina Chelinia Erianda Putri; Bernadeta Wuri Harini
International Journal of Applied Sciences and Smart Technologies Vol. 8 No. 1 (2026): Volume 08, Issue 1, June 2026
Publisher : Faculty of Science and Technology, Universitas Sanata Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24071/h3tt2b23

Abstract

In the industrial world, the water level in the tank is often controlled using a PID controller. The main problem in using a PID controller is the problem of tuning the three PID parameters (Proportional gain, Integral gain, and Derivative gain). In this study, the parameter controller tuning is done using the heuristic tuning method that is applied on the water level plant and the Ziegler-Nichols tuning method that is simulated using MATLAB software. The results of both tuning methods will be compared. To simulate the control system, the water level system in the tank is modeled in the form of a first-order plus dead time modified with the Pade approach.  Tuning using the Ziegler-Nichols method produced a good response, where the final value of the water level was the same as the set point value (SSE = 0%) with a settling time of 6.18 minutes.
A Simulation-Based Approach To Spiral Pump Design Hengky Luntungan; Stenly Tangkuman; Benny L. Maluegha
International Journal of Applied Sciences and Smart Technologies Vol. 8 No. 1 (2026): Volume 08, Issue 1, June 2026
Publisher : Faculty of Science and Technology, Universitas Sanata Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24071/7vcsv741

Abstract

The consistent availability of irrigation water in agricultural areas remains a challenge to this day, due to the fact that rivers are always located at a lower elevation than farmland. As an alternative solution, a spiral pump has been introduced that operates solely using the kinetic energy of river water flow, unlike conventional water pumps that always require electricity or fossil fuels. This study aims to develop a simulation-based spiral pump design by integrating findings from previous analyses regarding fluid flow behavior and water wheel performance. Accordingly, using SolidWorks software, a comprehensive geometric model of the spiral pump was created, consisting of a 1.2-meter-diameter undershot water wheel, an eight-coil spiral hose with a 2-inch diameter, and a support frame. Through static structural simulation, it was also determined that a hydraulic force of 72.63 N and a torque of 32.68 Nm act on the water wheel, with the shaft withstanding a force of 174.06 N. The von Mises stress on the shaft is 3.746 × 10⁶ N/m², while on the blades it is 1.711 × 10⁷ N/m²; these stress values are well below the yield strength of A36 steel for the shaft and aluminum alloy for the blades. Thus, based on CFD-based flow rate analysis, hydraulic head evaluation, and structural validation, this study has produced an integrated design that ensures operational efficiency and structural safety. This spiral pump design can be developed into a prototype for field application as a cost-effective renewable energy solution.
Handling Highly Imbalanced Flood Data Using K-Means Clustering in Skyline Query Dominance Testing Vega Purwayoga; Zakwan Gusnadi; Winda Ayu Anggraini
International Journal of Applied Sciences and Smart Technologies Vol. 8 No. 1 (2026): Volume 08, Issue 1, June 2026
Publisher : Faculty of Science and Technology, Universitas Sanata Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24071/b4693z32

Abstract

Skyline query is a recommendation algorithm used to select objects based on multi-attribute preferences, but a key challenge is that its results can be highly imbalanced, where only a small number of objects meet the preferred criteria. This imbalance reduces the reliability of spatial decision-making, including in flood vulnerability assessment. This study addresses the issue by applying a modified Sort-Filter Skyline method that considers maximum and minimum attribute preferences during sorting. The skyline output shows a strong class imbalance, with only 18 areas identified as flood-prone compared to 1,574 non-flood-prone areas. To mitigate this, K-Means clustering is used as a refinement step. The Elbow and Gap Statistic methods recommend three clusters as optimal, while the Silhouette method suggests eight. Cluster distribution analysis shows that three clusters produce a more balanced representation, with Scheme 1 and Scheme 3 showing better balance ratios and lower variation than Scheme 2. Thus, clustering into three groups helps achieve a more representative mapping of flood-prone areas.
Psychrometric Performance of the Air Dehumidifier Base Clothes Dryer Wibowo Kusbandono; A. Prasetyadi; Nico Ndaru Pratama; Doddy Purwadianto; Rines; Y. B. Lukiyanto; I. G. K. Puja; Michael Seen; Budi Setyahandana
International Journal of Applied Sciences and Smart Technologies Vol. 8 No. 1 (2026): Volume 08, Issue 1, June 2026
Publisher : Faculty of Science and Technology, Universitas Sanata Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24071/262r4a76

Abstract

Drying clothes with dehumidifier machine and additional IR light experiments were conducted to show the psychrometric performance of dehumidification drying. Experiment of dehumidification drying 7.07 kg wet clothes to 4,78 kg dry clothes and 9.9 kg wet clothes to 7.67 kg dry clothes were applied. Variation of 715 W dehumidifier and 375 W IR were conducted. Measurement of room and environment temperatures and humidity were performed. The results show that additional IR make the drying process faster. However, it reduces drying effectivity. The efficiencies of drying are 109%, 96%, 100%, and 79% for drying 4.78 kg dry clothes with dehumidifier, drying 4.78 kg dry clothes with dehumidifier + IR, drying 7.67 kg dry clothes with dehumidifier, and drying 7.67 kg dry clothes with dehumidifier + IR. The numbers also reveal need of adopting drying COP using closed loop heat pump dehumidification to be ratio of heating and cooling energy over the supplied energy plus one.
Thermal Investigation on Lithium-Ion Battery Using Liquid Cooling Method Stefan Mardikus; Petrus Setyo Prabowo; Bernadeta Wuri Harini; Budi Sugiharto; F. A. Rusdi Sambada; Achilleus Hermawan Astyanto; I. M. W. Ekaputra
International Journal of Applied Sciences and Smart Technologies Vol. 8 No. 1 (2026): Volume 08, Issue 1, June 2026
Publisher : Faculty of Science and Technology, Universitas Sanata Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24071/cpbse503

Abstract

An electric battery is an energy storage device that has a high energy density, a long lifetime and has a high rate of charging and discharging the battery. The performance of the Lithium-Ion battery greatly affects the temperature of charging and discharging, so a cooling method is needed that is able to maintain the working temperature of the battery at (250C – 500C) conditions. In this study, the Computational Fluid Dynamics method was used to investigate the effect of Depth of Discharge (DOD) on the cooling performance of BTMS (Battery Thermal Management System) Liquid Cooling using ethylene-glycol as the working fluid to be flowed on the curved cooling tube. The results of this study indicated that the maximum temperature and temperature difference of the battery module decreased as the mass flow rate of the cooling fluid increased, the lowest temperature value occured at the mass flow rate of 18×10-4kg·s-1 with a temperature value of 303.6 K. The maximum temperature of the battery module fluctuated as the DOD value increased.

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