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Journal of Applied Science, Engineering, Technology, and Education
Published by PT. Mattawang Mediatama Solution
ISSN : -     EISSN : 26850591     DOI : https://doi.org/10.35877/454RI.asci1116
Core Subject : Science, Education, Engineering,
Civil Engineering, Building, Construction & Architecture Computer Science & IT Electrical & Electronics Engineering Industrial & Manufacturing Engineering Other
Journal of Applied Science, Engineering, Technology, and Education (ASCI) is an international wide scope, peer-reviewed open access journal for the publication of original papers concerned with diverse aspects of science application, technology and engineering.
Arjuna Subject : Umum - Umum
Articles 285 Documents
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Design and Implementation of Web Service for Laundry Service Payment at RAZ-Q Laundry Samarinda Mallala, Syamsudin; Pukeng, Ahmad Fahrijal; Nursobah, Nursobah
Journal of Applied Science, Engineering, Technology, and Education Vol. 6 No. 2 (2024)
Publisher : PT Mattawang Mediatama Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/454RI.asci3639

Abstract

The advancement of technology has facilitated access to information and various applications spanning desktop, web, and mobile platforms, becoming an integral part of everyday life. Among these platforms, websites are the most widely used. The web is widely used for business purposes. One of the common businesses is laundry services, which has become essential for individuals with busy schedules, such as workers and students. Busy daily activities make the need for clean clothes a top priority. However, the existence of many laundry service providers creates intense competition and difficulties for new consumers in finding the right service. This research examines a web services-based laundry service designed to help consumers find and book quality laundry services in their vicinity. It also provides process monitoring features and estimated time for clothes pickup. For laundry service owners, these web services offer opportunities to improve their business. This research uses the Waterfall method of software development, including the stages of analysis, design, coding, and testing. Use case diagrams were used to model the interaction between actors in the application. The web interface is designed according to user needs. The result of this research is web services that can help consumers find and order laundry services easily and efficiently. Blackbox testing is conducted to ensure that all designed functions run properly. This application has the potential to help laundry service owners increase their income. Application development is done using Visual Studi Code with PHP Native programming language and MySQL as database management.
Flood Management Study in The Upper Kuncir River: Hydrological Analysis and Watershed Conservation Purboseno, Sentot; Suparto, Suparto; Bujono, Purwo
Journal of Applied Science, Engineering, Technology, and Education Vol. 6 No. 2 (2024)
Publisher : PT Mattawang Mediatama Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/454RI.asci3765

Abstract

Flooding in the Upper Kuncir River, Nganjuk Regency, is an annual issue causing environmental degradation, infrastructure damage, and economic losses. Increased runoff, erosion, and sedimentation have worsened flood risks due to deforestation and land-use changes. This study analyzes flood factors and conservation strategies through hydrological modeling (HEC-RAS), GIS-based erosion analysis, and watershed simulations. Findings show that high soil erosion (50-80 tons/ha/year) and sediment inflow (18,500 m³ annually) have reduced river capacity by 15%. Peak discharge for a 25-year return period is 125.905 m³/s, exceeding the river’s 85.4 m³/s capacity. Check dams, reforestation, and river normalization are proposed to reduce runoff and control sedimentation. Simulations indicate that structural (check dams, river widening) and non-structural (vegetative cover, soil conservation) measures can reduce peak discharge by 50%. Adaptive reservoir operations at Margopatut Dam can enhance flood control. Integrated watershed management combining engineering and ecohydrological solutions is recommended to ensure sustainable flood mitigation
Development and Evaluation of a Cognitive Conflict-Based Physics Learning Module in a Blended Learning Model Gunawan, G.; Kosim, K.; Larasafitri, Martina Nur; Herayanti, Lovy
Journal of Applied Science, Engineering, Technology, and Education Vol. 6 No. 2 (2024)
Publisher : PT Mattawang Mediatama Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/454RI.asci3766

Abstract

This study developed and evaluated the effectiveness of a cognitive conflict-based physics learning module within a blended learning environment. The module was designed to enhance high school students' critical thinking skills, which are essential for effective problem-solving and decision-making. The research employed the Research and Development (R&D) method with the 4-D model. The module was tested on two experimental classes, and student performance was assessed through a 5-item essay test and analysis of student worksheets. Results showed significant improvement in all aspects of critical thinking, particularly in basic clarification and inference. This improvement is attributed to the cognitive conflict approach, the blended learning model, and the engaging design of the module. The study concludes that this learning module is effective in fostering critical thinking skills and recommends further testing in other materials and contexts, additional module development, and teacher training.
A Bibliometric Exploration of Facebook Marketing Research Trends Using Scopus Database Buamonabot, Irfandi; Susilo, Daniel; Thanos, Guellica Agnesia Claudia; Sam, Toong Hai; Timotius, Elkana; Tammubua, Milcha Handayani; Rudiansyah, R.
Journal of Applied Science, Engineering, Technology, and Education Vol. 6 No. 2 (2024)
Publisher : PT Mattawang Mediatama Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/454RI.asci3807

Abstract

Facebook has developed into much more than just a social media platform since its 2004 launch, changing the way businesses engage with their customers and emerging as a powerful player in the field of digital marketing. Due to the increased attention this evolution has received from academia, extensive research has been conducted on a number of Facebook marketing-related topics, such as customer engagement, brand building, and consumer data collection. Using Scopus as a data source, we conducted a bibliometric analysis in this study to thoroughly review the literature on Facebook marketing and identify important trends, hotspots, and areas in need of further research. 133 pertinent publications from 2009 to 2023 were found by our analysis, underscoring Facebook's significance in digital marketing. This study sheds light on several Facebook marketing research themes, including the efficacy of advertising, consumer behavior on social networks, ethics, and privacy. Furthermore, we found that research is scattered worldwide indicating differences in digital marketing connected to society, economy, and culture. Topics such artificial intelligence, cross-cultural marketing, and the consequences of Facebook algorithm modifications still have more to be discovered even with the wealth of studies. This study supports the relevance of Facebook in digital marketing, indicates areas that demand more research for a better knowledge of the successful use of Facebook in marketing strategies, and provides insight for academics and practitioners.
Advances in Data-Driven Marketing Technologies: A Bibliometric Analysis of Indonesian Research Trends Yuaniko Paramitra; Syamsu Rijal; Guellica Agnesia Claudia Thanos; Toong Hai Sam; Intan Nurrachmi; Darwis Robinson Manalu; Rahim, Robbi
Journal of Applied Science, Engineering, Technology, and Education Vol. 6 No. 2 (2024)
Publisher : PT Mattawang Mediatama Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/454RI.asci3811

Abstract

Indonesia, the largest economy in Southeast Asia, has experienced an increase in need for innovative, data-driven marketing research given its fast economic expansion. Business strategy and decision making depend on this study as it let companies adjust to the specificities of local markets affected by socioeconomic, technological, and demographic variables. This study aims to assess the direction and breadth of the research as well as identify any knowledge gaps or underutilized studies in the field of marketing, especially in Indonesia. Bibliometrics is the technique utilized by means of data analysis drawn from the Scopus database in January 2024. Ratih Hurriyati of the Indonesian Education University, with 11 publications to her credit and 209 citations to her works, is the most active writer in this area. The results show the key trends in Indonesian marketing research. Apart from that, the "International Journal of Data and Network Science" is the most often published journal source with 36 papers altogether. Particularly in relation to the use of digital technology to improve consumer satisfaction and promote loyalty in innovative markets, these findings provide new ideas for policy development and more research. Marketing research done in Indonesia has a huge possibility to considerably add to the literature in the globe when one considers both local and global dynamics.
BetaSutte: Applying Novelty in Data Forecasting with the Modified Trend-Augmented α-Sutte Indicator, A Case Study on Bank Mandiri (BMRI) Stock Prices Ahmar, Ansari Saleh
Journal of Applied Science, Engineering, Technology, and Education Vol. 6 No. 2 (2024)
Publisher : PT Mattawang Mediatama Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/454RI.asci3826

Abstract

This study assesses the effectiveness of the BetaSutte forecasting model, an enhanced version of the α-Sutte Indicator, dubbed the Modified Trend-Augmented α-Sutte Indicator, in forecasting the stock prices of Bank Mandiri (BMRI). Data from investing.com, spanning January 2018 to December 2023, was divided into training and testing subsets to both develop and validate the forecasting model, ensuring it performs well across unseen data. BetaSutte builds on the foundational α-Sutte by integrating advanced trend analysis, mitigating the influence of outliers, and utilizing automatic parameter optimization to boost forecasting precision. The efficacy of BetaSutte is evaluated against well-established models such as SVR, XGBoost, and ARIMA. ARIMA was chosen for its detailed management of time-series data via autoregressive, differencing, and moving average components. In contrast, SVR and XGBoost are recognized for their strong predictive performance. The performance of these models was gauged using Root Mean Square Error (RMSE) and Mean Absolute Percentage Error (MAPE). These metrics shed light on the extent of forecasting errors and the percentage of relative errors, respectively, providing a comprehensive view of each model’s predictive accuracy for BMRI stock prices. The results demonstrated that BetaSutte outstripped the other models in terms of RMSE and MAPE, highlighting its enhanced ability to accurately reflect the dynamics of BMRI’s stock prices with greater precision and dependability. This establishes BetaSutte as a formidable tool in financial forecasting, particularly valuable in environments characterized by volatile market conditions and unpredictable data patterns.
Application of Digital Image Processing for Orchid Image Segmentation in Morphological Plant Analysis Riza, Bob Subhan; Rosnelly, Rika; Haryanto S., Edy Victor
Journal of Applied Science, Engineering, Technology, and Education Vol. 7 No. 1 (2025)
Publisher : PT Mattawang Mediatama Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/454RI.asci3772

Abstract

The deployment of digital image processing in orchid image segmentation for plant morphological analysis is investigated in this study. The goal of this study is to increase the accuracy of orchid species identification using color-based segmentation approaches using 90 photos of three different orchid species—Cattleya, Dendrobium, and Onchidium—that were retrieved from Kaggle. Pre-processing is the first step in the process, which involves shrinking the size of the photos, separating them into RGB components, and converting them to HSV color space for additional analysis. Segmentation is done using the K-Means technique, which clusters pixels according to the color features that have been retrieved. Centroid updates are made until convergence is reached. With an identification accuracy of 92%, the binary and RGB segmentation results show how well this method works to distinguish the flower item from the backdrop. By advancing image processing methods in botany, this study aids in the identification of rare orchid species and conservation initiatives.
Sustainable Competitive Advantage in Indonesia’s Bioethanol Industry: Key Variables and Ecosystem Model Rachman, Izmirta
Journal of Applied Science, Engineering, Technology, and Education Vol. 7 No. 1 (2025)
Publisher : PT Mattawang Mediatama Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/454RI.asci3784

Abstract

The target for bioethanol fuel-grade blending in Indonesia has yet to be achieved, indicating significant barriers to the development of a sustainable industry. This study aims to identify key variables and develop an ecosystem model that supports Sustainable Competitive Advantage (SCA) in the Fuel-Grade Bioethanol Industry (FGBI) in Indonesia. Adopting the Resource-Based View (RBV) and Institutional Theory (IT) approaches, this study analyzes the interaction between internal and external factors influencing industry sustainability. Utilizing an exploratory inductive qualitative method covering the period 2006 to 2024, the research identifies three key RBV variables: (1) demand, (2) raw materials, and (3) technology as well as three coercive IT variables: (1) price formulation, (2) trade structure, and (3) tariffs and incentives as critical elements in achieving SCA. The findings indicate that coercive IT alone is ineffective in achieving SCA without integration with RBV. As both an academic and practical contribution, this study proposes a sustainable ecosystem model for FGBI in Indonesia. Further quantitative testing is needed to examine inter-element dynamics and evaluate the model’s long-term effectiveness. The implications for stakeholders highlight the importance of integrating policy with RBV principles to ensure the sustainability of the industry.
Paper vs. Digital Assessments: Evaluating Critical Thinking on Ecological Issues in Indonesian Madrasahs Berlian, Zainal; Isnaini, Muhammad; Farwati , Ratna; Metafisika, Kartika; Velina, Yessy; Fitriyanni, Viona
Journal of Applied Science, Engineering, Technology, and Education Vol. 7 No. 1 (2025)
Publisher : PT Mattawang Mediatama Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/454RI.asci3785

Abstract

This research aims to determine the difference in the assessment results in the critical thinking skills of State Madrasah Ibtidaiyah (MIN) students or State Islamic schools in Indonesia using paper-based and digital-based tests. Data was collected from 314 participants representing MIN on four large islands in Indonesia, namely MIN Bogor Regency, West Java, MIN Sinjai Regency, South Sulawesi, MIN Palembang City, South Sumatra, and MIN Balikpapan City, East Kalimantan. The research method used a quantitative survey. A total of 24 valid Critical Thinking Skills Items with the Facione Critical Thinking Skills indicator as an instrument for measuring critical thinking skills. Factors such as motivation, technological accessibility, and effectiveness of test formats contribute to differences in results. This study provides new insights into the effectiveness of technology-based assessment in Madrasa education, especially in evaluating critical thinking skills. These findings lead to policy recommendations for improving the Madrasa assessment system in the digital era.
Towards Integrated E-Government Services: Key Contributing Factors from a Whole-of-Government Perspective Othman, Mohamed Hairul; Razali, Rozilawati; Nasrudin, Mohammad Faidzul
Journal of Applied Science, Engineering, Technology, and Education Vol. 7 No. 1 (2025)
Publisher : PT Mattawang Mediatama Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/454RI.asci3800

Abstract

Despite various initiatives introduced to ensure electronic government (e-government) services remain relevant, there are still unresolved issues in its implementation that bring negative perceptions towards the government. One common issue is the existence of duplicated as well as unintegrated services between agencies that mislead citizens and cause bureaucratic red tape. This issue could be resolved by establishing integrated e-government services, which nevertheless require strong collaboration from multiple agencies. One strategy to strengthen cross-agency collaboration is through the Whole-of-Government (WoG) approach. However, studies concerning the WoG approach that specifically focus on collaboration strategies to address service integration issues in e-government are scarce. This study therefore aimed to identify the WoG factors that are important for strengthening cross-agency collaboration, as the effort for establishing integrated e-government services. It adopted the qualitative method approach, consisting of theoretical and empirical studies. The theoretical study was conducted through literature reviews, whereas the empirical study involved semi-structured interviews with relevant informants from public and private sectors as well as statutory body. Both theoretical and empirical data were analysed using thematic analysis. The identified WoG factors were categorised into people, process and technology aspects, which can act as a guideline towards integrated e-government services through cross-agency collaboration.

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