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All Journal AJIE (Asian Journal of Innovation and Entrepreneurship) Jurnal Ilmiah KOMPUTASI Sistemasi: Jurnal Sistem Informasi Syntax Literate: Jurnal Ilmiah Indonesia Jambura Journal of Informatics Building of Informatics, Technology and Science Syntax Idea Jurnal Teknologi Dan Sistem Informasi Bisnis Zonasi: Jurnal Sistem Informasi Jurnal Teknologi Informasi, Komputer, dan Aplikasinya (JTIKA ) JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) JURNAL PENDIDIKAN, SAINS DAN TEKNOLOGI Jurnal Teknik Informatika (JUTIF) Indonesian Journal of Innovation Studies Malcom: Indonesian Journal of Machine Learning and Computer Science Innovative: Journal Of Social Science Research Research Horizon Jurnal Sains, Nalar, dan Aplikasi Teknologi Informasi Jurnal Informatika: Jurnal Pengembangan IT
Paputungan, Irving Vitra
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Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Public Health Social Sciences Other

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Analisis Sentimen Video Review Starlink Indonesia Menggunakan Pendekatan Lexicon Dictionary Bahasa Indonesia Dan Algoritma Random Forest Nugraha, Ivan Aditya; Paputungan, Irving Vitra
Innovative: Journal Of Social Science Research Vol. 5 No. 3 (2025): Innovative: Journal Of Social Science Research
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/innovative.v5i3.19014

Abstract

Starlink dari SpaceX menawarkan solusi internet satelit bagi wilayah tertinggal, terdepan, dan terluar (3T) di Indonesia yang masih minim akses digital. Penelitian ini bertujuan menganalisis tanggapan publik terhadap layanan Starlink melalui 9.372 komentar YouTube dari kanal GadgetIn dan NanangMrk. Data dikumpulkan menggunakan dan diproses melalui tahapan pembersihan teks, normalisasi, tokenisasi, penghapusan stopword, serta stemming. Sentimen pengguna diklasifikasikan ke dalam kategori positif, negatif, dan netral menggunakan pendekatan lexicon Bahasa Indonesia. Selanjutnya, model klasifikasi dibangun menggunakan algoritma Random Forest dengan tiga skenario rasio data latih dan uji, yaitu 80:20, 70:30, dan 60:40. Hasil evaluasi menunjukkan performa terbaik pada rasio 80:20, dengan akurasi 77,4%, precision 0,78, recall 0,77, dan F1-score 0,77 berdasarkan pengujian terhadap data uji. Kata Kunci: Analisis sentimen, lexicon dictionary bahasa Indonesia, random forest
Development of Backend Server Based on REST API Architecture in E-Wallet Transfer System Muhammad, Irfan Rizq Dzaky; Paputungan, Irving Vitra
Jurnal Sains, Nalar, dan Aplikasi Teknologi Informasi Vol. 3 No. 2 (2024)
Publisher : Department of Informatics Universitas Islam Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20885/snati.v3.i2.35

Abstract

Cash payments are starting to shift towards an electronic or cashless payment system. While the process of transferring balances between ewallet at this time is considered less effective because it requires withdrawal from ewallet and replenishment using banks. This paper presents how to develop a Backend Server based on REST API Architecture using the NestJS framework on a ewallet transfer system. The development uses NestJS framework tools, MySQL database, API testing with Postman, Extreme Programming (XP) development method, and BlackBox Testing method. The result of this research is a server side system for transferring funds between ewallet in the form of a REST API that can be used by frontend and mobile developers.
Redesign User Interface at PT. Budi Jaya Banjarindo Using UCD Method Ariansyah, Doddy; Paputungan, Irving Vitra
Jurnal Sains, Nalar, dan Aplikasi Teknologi Informasi Vol. 3 No. 3 (2024)
Publisher : Department of Informatics Universitas Islam Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20885/snati.v3.i3.38

Abstract

Budi Jaya Banjarindo operates in the machining and manufacturing sector and has a production system (make to order), which means the product is made according to consumer requests or design. This company uses machine equipment such as lathes, CNC machines, CNC Plasma Cutting, milling machines, hobbing and so on. Evaluation and redesign of the user interface system using Figma tools which will later be used by the workshop to optimize online product marketing. The system was designed using the UCD method. The final design result is a prototype which will then be assessed or tested using the SUS method to obtain an assessment from users. The SUS Score obtained was 65, based on these results it is included in the C range (range 60-70). These results indicate that the UI evaluation results are of good quality. The conclusion of redesigning the interface by adding several additional features, successfully meets user needs and the quality of test results is good.
Bibliometric Analysis of Innovation and Sustainability in Health Tourism: Analisis Bibliometrik Inovasi dan Keberlanjutan dalam Wisata Kesehatan Erwin, Erwin; Paputungan, Irving Vitra
Indonesian Journal of Innovation Studies Vol. 26 No. 2 (2025): April
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/ijins.v26i2.1312

Abstract

General Background – Health tourism is a rapidly expanding industry driven by innovation and digital transformation, offering high-quality and cost-effective healthcare solutions globally. Specific Background – Despite its growth, there is limited research on the integration of digital technologies such as telemedicine, artificial intelligence, and blockchain in enhancing patient experience and operational efficiency. Knowledge Gap – Previous studies have primarily focused on infrastructure, patient motivation, and service quality, leaving a gap in understanding the role of digital transformation in health tourism. Aims – This study aims to analyze trends in health tourism innovation, mapping technological advancements, policy adaptations, and business model transformations using bibliometric analysis. Results – Findings indicate that digital health solutions, particularly telemedicine and Electronic Health Records (EHR), significantly enhance accessibility and service quality. Future research should focus on data-driven technologies and sustainable business models. Novelty – This study contributes by systematically mapping digital innovations in health tourism through bibliometric analysis, offering a comprehensive perspective on the industry's evolution. Implications – The findings provide strategic insights for policymakers and industry stakeholders, emphasizing the importance of standardized business process modeling to enhance service efficiency and competitiveness in global health tourism markets. Highlights:  Digital Transformation in Health Tourism – The integration of telemedicine, AI, and blockchain enhances patient experience, accessibility, and service efficiency. Bridging the Knowledge Gap – This study fills a research gap by systematically mapping digital innovations in health tourism through bibliometric analysis. Strategic Implications – Findings provide actionable insights for policymakers and industry leaders to standardize business processes and improve global competitiveness. Keywords: Health Tourism, Development, Innovation 
Pengaruh Literasi Digital dan Kepercayaan terhadap Penggunaan Layanan Kependudukan: Studi Perubahan Data akibat Pemekaran: indonesia Haq, Sumayyah Tsabitul; Paputungan, Irving Vitra; Setiaji, Hari
Asian Journal of Innovation and Entrepreneurship Volume 10, Issue 1, January 2026
Publisher : UII

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20885/ajie.vol10.iss1.art1

Abstract

The digital transformation of population administration services has become a strategic effort to enhance the efficiency of public services, especially in regions undergoing administrative expansion. This study aims to examine the influence of digital literacy, trustworthiness, and system quality on user behavior in utilizing the SIPENDUDUK online service in Pekanbaru, Indonesia. A quantitative approach was applied using a survey method involving 400 respondents, determined through Slovin’s formula with a 5% margin of error. Data were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM) to assess both measurement and structural models. The results reveal that digital literacy and trustworthiness significantly affect users perceived usefulness and ease of use, which in turn influence their intention to use and actual usage behavior. Among these, trustworthiness was found to be the most dominant factor directly affecting the intention to use, while digital literacy enhances user perceptions of system benefits and usability. Although system quality contributes to perceived ease of use and usefulness, it does not directly influence the intention to use. These findings highlight the importance of strengthening public trust and improving digital competence to support the successful adoption of digital government services, particularly in the context of dynamic population data management in newly expanded areas.
Analysis of Farmers’ Acceptance Factors for Digital Pond Management Applications Using the UTAUT2 Model Shiddiq, Muhammad Farras; Dirgahayu, Raden Teduh; Paputungan, Irving Vitra
Research Horizon Vol. 5 No. 6 (2025): Research Horizon - December 2025
Publisher : LifeSciFi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54518/rh.5.6.2025.838

Abstract

The shrimp farming industry is crucial to Indonesia’s economy but faces challenges such as declining exports, low productivity, and limited technology adoption. Digital tools have been developed to support pond management through real-time water quality monitoring and data-based decision-making; however, user engagement remains low, indicating a gap between technology provision and adoption. This study aims to analyze factors influencing farmers’ acceptance of such digital technologies using the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) model. A quantitative survey involving 140 shrimp farmers in Central Java was analyzed using Partial Least Squares–Structural Equation Modeling (PLS-SEM). The results show that performance expectancy, effort expectancy, social influence, facilitating conditions, hedonic motivation, price value, and habit significantly affect behavioral intention, while behavioral intention weakly influences actual use behavior, revealing an intention behavior gap. In contrast, use behavior is strongly driven by habit and facilitating conditions, and price value negatively affects intention. The study concludes that habitual use and technical support are more decisive than intention in promoting technology adoption, providing theoretical insights and practical implications for developers to focus on habit-forming design and continuous support for digital transformation in aquaculture.
Optimasi Faktor Friksi dan Dinamis dengan Hibrida GA-ACO pada Estimasi Usaha Perangkat Lunak Agile Mahendri, Yusril; Paputungan, Irving Vitra; Setiani, Novi
Jurnal Informatika: Jurnal Pengembangan IT Vol 11, No 1 (2026)
Publisher : Politeknik Harapan Bersama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30591/jpit.v11i1.10043

Abstract

Effort estimation remains a critical challenge in Agile Software Development due to the high dynamics of requirement changes and the reliance on friction factors (FF) and dynamic factors (DF) that are inherently subjective, often leading to significant deviations between estimated and actual project effort. This study aims to improve the accuracy of Agile software effort estimation by optimizing FF and DF parameters using a hybrid metaheuristic approach based on Genetic Algorithm and Ant Colony Optimization (GACO). The proposed method integrates a pheromone-based guided search mechanism from Ant Colony Optimization to generate high-quality initial populations, which are subsequently refined through the evolutionary process of Genetic Algorithm to achieve more stable and systematic parameter optimization. Experimental evaluation was conducted using two datasets, namely the Ziauddin dataset representing Agile projects and the Maxwell dataset encompassing cross-domain software projects. The results demonstrate that the GACO approach consistently outperforms the conventional Genetic Algorithm, as indicated by a substantial reduction in Mean Absolute Error from 616.38 to 354.81. Furthermore, statistical validation using the Wilcoxon Signed-Rank Test confirms that the performance difference between the two approaches is statistically significant. These findings indicate that integrating Ant Colony Optimization into Genetic Algorithm effectively enhances the accuracy, stability, and robustness of software effort estimation, thereby supporting more reliable resource planning in Agile software development.
Analysis Of Low-Code Adaptation In Industrial Era 4.0 Application Development In Indonesia Rusdi, Methamazid; Paputungan, Irving Vitra
Jurnal Sains, Nalar, dan Aplikasi Teknologi Informasi Vol. 5 No. 1 (2026)
Publisher : Department of Informatics Universitas Islam Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20885/snati.v5.i1.42395

Abstract

Low‑code application platforms have emerged as an innovative solution for developing information systems that are fast, flexible, and easily adaptable to meet the demands of the Fourth Industrial Revolution (Industry 4.0). In Indonesia, this technology has attracted particular attention as it helps organizations address challenges such as limited skilled human resources and the need for substantial investment. With low‑code, applications can be developed with minimal coding—even by non‑technical users—through intuitive visual interfaces and drag‑and‑drop components. This accelerates development, reduces costs, and enhances efficiency, enabling organizations to adapt more quickly to changing business needs and remain competitive in the industry 4.0 era. This study analyzes the implementation of low‑code through a descriptive qualitative approach, using a case study at PT Partner Niaga Indonesia, Tangerang, and involving ten informants from diverse roles (CTO, application manager, QA engineer, and others). Thematic and SWOT analyses reveal that low‑code offers major strengths such as rapid development, cost efficiency, and productivity gains, while also presenting opportunities to support digital transformation in Indonesia. However, limitations in customization, security concerns, and integration with legacy systems remain significant challenges. The findings suggest that low‑code is an effective and efficient solution for organizations seeking to accelerate digitalization, with practical implications including the need for workforce training, strategies to mitigate technical debt, and careful vendor selection. The study is limited by the number of informants and its focus on a single company; future research should include quantitative assessments of cost–benefit impacts and comparative studies across different industrial sectors.
Hybrid DBSCAN - K-Means Clustering for Financial Loss Identification in INA-CBG Claims Based on Medical Treatment Patterns Dianqori, Muhammad Fajar; Fudholi, Dhomas Hatta; Utomo, Galih Aryo; Paputungan, Irving Vitra
Building of Informatics, Technology and Science (BITS) Vol 7 No 4 (2026): March 2026
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v7i4.9483

Abstract

Hospital financial deficits due to INA-CBG claim discrepancies pose a critical challenge to healthcare sustainability in Indonesia. The difference between hospital operating costs and INA-CBG rates often results in significant financial deficits, which can threaten the sustainability of healthcare providers, especially hospitals. However, existing studies lack a systematic approach to identify distinct patterns of financial losses based on clinical treatment characteristics. This study aims to identify clusters of patients with different financial loss characteristics using a hybrid DBSCAN-K-Means clustering approach based on medical procedure frequency patterns. The DBSCAN algorithm was employed to detect and separate noise from data, while K-Means was used to identify medical treatment patterns. The data were obtained from electronic medical records of inpatients during the 2023–2024 period at a private hospital (N = 6,021 cases). The final clustering results revealed two main clusters with a highly significant difference in deficits between clusters (p = 6.21 × 10⁻³⁸, Cliff's Delta = −0.216). Cluster 0 represents patients with intensive care who have a higher frequency of routine procedures, with an average deficit of 1.51 times (51.3% greater) and an average length of stay of 1.76 times (76% longer) than Cluster 1. Cluster 1 represents patients with a focus on obstetrics/neonatology with a predominance of Doppler procedures. Meanwhile, the noise cluster (13.39%) represents more extreme cases with an average loss of −7.82 million IDR and high mortality. Of the total 315 treatment features, 114 were confirmed to be statistically significant. This study contributes a novel hybrid clustering framework for identifying financial loss patterns in INA-CBG claims, providing actionable insights for hospital management to optimize service utilization, adjust procedure fees for complex cases, and strengthen financial risk management strategies.
ANALISIS KESESUAIAN PENGUKURAN KALORI SMARTWATCH DENGAN PERHITUNGAN MET PADA AKTIVITAS OLAHRAGA Raihan, Rafli Assiddiqie; Paputungan, Irving Vitra; Setiawan, Mukhammad Andri
JTIKA (Jurnal Teknik Informatika, Komputer dan Aplikasinya) Vol 8 No 1 (2026): Maret 2026
Publisher : Program Studi Teknik Informatika, Fakultas Teknik, Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jtika.v8i1.555

Abstract

This study aims to evaluate the agreement between calorie estimations generated by smartwatches and manual calculations based on the Metabolic Equivalent of Task (MET) during physical activity. Three participants with different physiological characteristics and activity intensities completed 15 training sessions using the Xiaomi Smart Band 8 and 10. Calorie estimates from the devices were compared with MET-based calculations using the paired sample t-test. The results indicate that, for moderate to high intensity activities such as jogging and running, no significant differences (p > 0.05) were observed between the two estimation methods, suggesting a good level of agreement. Conversely, low-intensity walking showed significant differences (p < 0.05), reflecting a tendency for overestimation by the smartwatch. Overall, the agreement improved when heart rate rhythm and movement patterns were more stable, consistent with physiological principles relating oxygen consumption and MET values. As a preliminary case-series, this study highlights the importance of activity intensity when interpreting smartwatch-based energy estimates and provides insight into the practical use of wearable devices for daily exercise monitoring.
Co-Authors Ahmad Luthfi Alfian, Lutfi Alhamid, Fahira Alraimi, Dheya Ali Qasem Ariansyah, Doddy Arkanudin, Muhammad Aqil Asyhar, Alfan Nur Asyhar, Alfian N Beni Suranto Dewa, Chandra Kusuma diana, ros Dianqori, Muhammad Fajar Dirgahayu, Raden Teduh Dwitama, Ridzky Putra Dwiyanto, Nova Effendy, Rani Asriya Erwin Erwin Fudholi, Dhomas Hatta Gunawan, Puguh Hasta haq, sumayyah tsabitul Ibdafa, Ghifari Adib Irawan, Aditya Putra Karimah Opralia, Husnun Lombu, Anas Satria Mahendri, Yusril Matswaya, Rabby Ahsan Muhammad, Irfan Rizq Dzaky Mustofa, Muhammad Rizqy Nugraha, Ivan Aditya Olilingo, Fadhilah Linti Perjalanan, Rahmat Raihan, Rafli Assiddiqie Ramadhan, Hafidh Adiyatma Rusdi, Methamazid Setiaji, Hari Setiani, Novi Setiawan, Mukhammad Andri Shiddiq, Muhammad Farras Utomo, Galih Aryo Utomo, Seno Praditya Wijayanto, Feri