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All Journal Jurnal Informasi dan Teknologi BRITech : Jurnal Ilmiah Ilmu Komputer, Sains dan Teknologi Terapan Edu Cendikia: Jurnal Ilmiah Kependidikan Transformasi Journal International of Lingua and Technology The Eastasouth Journal of Information System and Computer Science Journal Innovations Computer Science
Satya Arisena Hendrawan, Satya Arisena
Program Studi Sistem Komputer, Universitas Diponegoro
Humanities Computer Science & IT Education Electrical & Electronics Engineering Languange, Linguistic, Communication & Media Mathematics Social Sciences Other

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Clustering Fuzzy C-Means Pola Dispersi Asap Kebakaran Lahan Gambut di Kabupaten Bengkalis Hendrawan, Satya Arisena; Satria, Deki
BRITech, Jurnal Ilmiah Ilmu Komputer, Sains dan Teknologi Terapan Vol 1 No 1 (2019): Periode Juli
Publisher : Institute Teknologi dan Bisnis Bank Rakyat Indonesia

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Abstract

The case of peat fires has became a serious problem in Indonesia. It?s impact of peatland fires was felt to the public. One technique to prevent the impact of these problems is try to analyze the pattern of the movement direction so that the smoke peatland can be a form of early prevention solutions. HYSPLIT model is one of technique to analyze the pattern of trajectories based on the meteorological conditions in the region. Fuzzy C-Means clustering is used for providing better result than the cluster of other techniques such as k-means. Based on cluster processing using fuzzy c-means formed fom the value of partition entropy of 0.4554 and partition coefficient of 0.7057, from these factors produce 2 clusters. The results that produce 2 clusters which in the first cluster, smoke peatland fires is at an altitude of 15.89 m AGL and second cluster that the smoke from peatland fires is at an altitude of 135.81 m AGL. Than, the smoke haze has moved to Malaysia, of course the smoke haze is dangerous for societies
Knowledge Sharing Driver in Virtual Community : A Systematic Review Satria, Deki; Hendrawan, Satya Arisena
BRITech, Jurnal Ilmiah Ilmu Komputer, Sains dan Teknologi Terapan Vol 1 No 1 (2019): Periode Juli
Publisher : Institute Teknologi dan Bisnis Bank Rakyat Indonesia

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Abstract

Virtual community is one of the most used platforms to share knowledge. Virtualcommunity usually composed by people who shared vision or specialty in certain aspect. This paper is systematic literature review using PRISMA. The goals of this papers is to find what is the driving factor of the people to share their knowledge in this kind of community. The end result of this papers is driving factors which can be used to create knowledge sharing model in virtual community.
Digital Transformation in MSMEs: Challenges and Opportunities in Technology Management Hendrawan, Satya Arisena; Afdhal Chatra; Nurul Iman; Soemarno Hidayatullah; Degdo Suprayitno
Jurnal Informasi dan Teknologi 2024, Vol. 6, No. 2
Publisher : SEULANGA SYSTEM PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60083/jidt.v6i2.551

Abstract

This study aims to examine the challenges and opportunities in the digital transformation of MSMEs, as well as effective technology management strategies. In the digital era, MSMEs face various challenges such as limited financial and human resources, inadequate digital infrastructure, and lack of knowledge and awareness about technology. Nevertheless, digital transformation also offers significant opportunities for MSMEs, including improved operational efficiency, access to broader markets, and the ability to analyze data for better decision-making. Through a qualitative approach with literature review, this research finds that effective technology management strategies are crucial for the successful digital transformation of MSMEs. These strategies include developing a technology strategic plan aligned with business goals, selecting and integrating appropriate systems, and training and developing employees' skills. The proper implementation of digital technology can help MSMEs automate business processes, reduce operational costs, and enhance productivity and innovation. The study concludes that digital transformation is not just about adopting technology but also about changing work processes and mindset to create sustainable added value for MSMEs. With adequate support and well-planned strategies, MSMEs can overcome challenges and leverage digital opportunities for business growth and sustainability.
The Impact of Website Usability and Mobile Optimization on Customer Satisfaction and Sales Conversion Rates in E-commerce Businesses in Indonesia Nawir, Fadliyani; Hendrawan, Satya Arisena
The Eastasouth Journal of Information System and Computer Science Vol. 2 No. 01 (2024): The Eastasouth Journal of Information System and Computer Science (ESISCS)
Publisher : Eastasouth Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/esiscs.v2i01.324

Abstract

This study investigates the impact of website usability and mobile optimization on customer satisfaction and sales conversion rates in e-commerce businesses in Indonesia. Utilizing a quantitative approach, data were collected from 170 respondents using a Likert scale ranging from 1 to 5. The analysis was conducted using Structural Equation Modeling-Partial Least Squares (SEM-PLS 3). The results indicate that all hypothesized relationships are positive and significant. Specifically, improvements in website usability and mobile optimization significantly enhance customer satisfaction, which in turn positively influences the sales conversion rate. The findings underscore the critical importance of optimizing website usability and mobile interfaces to boost customer satisfaction and drive higher sales conversions in the competitive e-commerce landscape of Indonesia.
Usability and User Experience Analysis of Language Learning Applications with Augmented Reality Technology Hendrawan, Satya Arisena; Putra, Haris Satria; Loebis, Iin Almeina; Fitriyasari, Maliatul; Basri, Hasan
Journal International of Lingua and Technology Vol. 4 No. 1 (2025)
Publisher : Sekolah Tinggi Agama Islam Al-Hikmah Pariangan Batusangkar, West Sumatra, Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55849/jiltech.v4i1.819

Abstract

The integration of Augmented Reality (AR) technology into language learning applications has become increasingly popular due to its potential to enhance user engagement and improve learning outcomes. However, the usability and user experience (UX) of such applications are critical factors that determine their effectiveness. This study explores the usability and UX of language learning applications utilizing AR technology, aiming to evaluate how these applications meet the needs and preferences of users, and how they influence learning efficiency. The research adopts a mixed-methods approach, combining quantitative surveys and qualitative interviews with users who have engaged with AR-based language learning applications. Participants were asked to assess the usability aspects, such as ease of navigation, user interface design, and responsiveness, as well as their overall experience and satisfaction. The results show that users generally find AR-based language learning applications engaging and enjoyable, particularly for vocabulary acquisition and interactive learning activities. However, challenges related to technical issues, such as device compatibility and software glitches, were identified as barriers to a seamless experience. The study concludes that while AR has the potential to revolutionize language learning, further improvements in application stability, content design, and personalization are necessary to optimize usability and user satisfaction.
Market Segmentation for Local Product Marketing Strategy Using K-Means and Dempster-Shafer Algorithm Implementation Hendrawan, Satya Arisena; Yusnitasari, Tristyanti; Oswari, Teddy
Journal Innovations Computer Science Vol. 4 No. 1 (2025): May
Publisher : Yayasan Kawanad

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56347/jics.v4i1.244

Abstract

Market segmentation represents a critical challenge in local product marketing, particularly when addressing complex consumer behavior patterns and uncertain classification environments in today's digital economy. This research develops and validates a hybrid model integrating K-Means Clustering with Dempster-Shafer theory to enhance segmentation accuracy and reliability for local product markets. The K-Means algorithm groups consumers based on demographic, psychographic, and behavioral characteristics, while Dempster-Shafer theory quantifies uncertainty and provides confidence measures for segment assignments. Data collection involved comprehensive consumer surveys and transaction records from 2,847 participants across multiple local product categories over a 12-month period. The hybrid model achieved superior performance with 87.5% accuracy, 85.3% precision, 86.1% recall, and 85.7% F1-score, representing improvements of 5.4% over standard K-Means and 8.2% over hierarchical clustering methods. Four distinct market segments were identified: Young Urban Professionals (28%), Value-Conscious Families (35%), Traditional Loyalists (22%), and Digital Natives (15%), each exhibiting unique purchasing patterns, digital engagement levels, and price sensitivity characteristics. Cross-validation yielded a consistency score of 0.91 with segment stability demonstrated through 8.3% churn rate and conflict measure K = 0.12, indicating substantial agreement among evidence sources. The methodology successfully addresses uncertainty in consumer classification while providing actionable insights for targeted marketing strategies, pricing optimization, and customer retention programs. Local product marketers can implement this framework to develop evidence-based marketing approaches that accommodate both traditional and digital consumer preferences, enabling competitive positioning in increasingly complex market environments. The research establishes a scalable and practical solution for small to medium enterprises seeking sophisticated market analysis capabilities without requiring extensive computational infrastructure or technical expertise.
ANALISIS PERBANDINGAN METODE PENDUKUNG KEPUTUSAN PEMILIHAN SKINCARE MENGGUNAKAN METODE SAW, WP, dan SMART Nuraeni, Yayang Ayu; Nurjanah, Noneng; Hendrawan, Satya Arisena; Muhiban, Ayi
TRANSFORMASI Vol 21, No 1 (2025): TRANSFORMASI
Publisher : STMIK BINA PATRIA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56357/jt.v21i1.416

Abstract

Increasing public awareness of the importance of skin care to maintain health has encouraged the emergence of various products on the market. In recent years, the skincare industry has experienced very rapid growth. This study aims to enable users to choose skincare that is safe, appropriate, and in accordance with their facial skin type with the methods used being Simple Additive Weighting (SAW), Weighted Product (WP), and Simple Multi-Attribute Rating (SMART). The results of the calculation process based on the level of suitability, it was found that using the SAW and SMART methods was better than the WP method, namely with a percentage value of suitability between 99.85719% in the SAW method, 99.85715% in the WP method, and 99.85715% in the SMART method. So the SAW and SMART methods are the most relevant methods to solve the problem of providing loans.Keywords : Skincare, Simple Additive Weighting, Weighted Product, Simple Multi-Attribute Rating, Decision Support System.
Analysis of the Digital System-Based Academic Factors and the Risk of Student Dropout Using Chi-Square Test for Data Driven-Interventions Hendrawan, Satya Arisena
Edu Cendikia: Jurnal Ilmiah Kependidikan Vol. 5 No. 02 (2025): Research Articles, August 2025
Publisher : ITScience (Information Technology and Science)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/educendikia.v5i02.6736

Abstract

Student dropout is a persistent challenge in the digital era of higher education. Using the chi-square test, this study examines whether two digital academic indicators—Grade Point Average (GPA) and attendance—are associated with dropout risk. We analyzed SIAKAD records for 100 Information Systems students at Bina Sarana Informatika University (cohorts 2020–2022), categorizing GPA (<2.75 vs. ?2.75) and attendance (<80% vs. ?80%). Results show a significant association between GPA and dropout (?² = 21.54, p < 0.001) and between attendance and dropout (?² = 29.85, p < 0.001). Students with low GPA and low attendance formed the highest-risk group (75% dropout), while high GPA and high attendance corresponded to the lowest risk (5%). These findings translate into simple, replicable rules for early detection and timely intervention: students below the GPA and attendance thresholds should trigger counseling, remedial support, or study-load adjustments. The contribution of this study is practical and immediate. Unlike approaches that rely on complex predictive models, a basic chi-square framework applied to routinely collected SIAKAD data yields actionable risk profiles that institutions can adopt with minimal technical overhead.
Co-Authors Afdhal Chatra Perdana FITRIYASARI, MALIATUL Hasan Basri Loebis, Iin Almeina Muhiban, Ayi Nawir, Fadliyani Nurjanah, Noneng Nurul Iman Putra, Haris Satria Satria, Deki Soemarno Hidayatullah Teddy Oswari Tristyanti Yusnitasari Yayang Ayu Nuraeni