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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) dCartesian: Jurnal Matematika dan Aplikasi Jurnal Sistem Komputer Proceedings of KNASTIK Journal The Winners Jurnal Teknologi Informasi dan Ilmu Komputer Scientific Journal of Informatics International Journal of Artificial Intelligence Research INTENSIF: Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi Jurnal Penelitian Pendidikan IPA (JPPIPA) CogITo Smart Journal INOVTEK Polbeng - Seri Informatika BAREKENG: Jurnal Ilmu Matematika dan Terapan JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI Sebatik Jurnal ULTIMA InfoSys MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer JURNAL PENDIDIKAN TAMBUSAI Digital Zone: Jurnal Teknologi Informasi dan Komunikasi JURIKOM (Jurnal Riset Komputer) JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Aptisi Transactions on Technopreneurship (ATT) Building of Informatics, Technology and Science FINANCIAL : JURNAL AKUNTANSI JUKANTI (Jurnal Pendidikan Teknologi Informasi) Jurnal Mnemonic JATI (Jurnal Mahasiswa Teknik Informatika) Jurnal Sistem Komputer dan Informatika (JSON) Community Development Journal: Jurnal Pengabdian Masyarakat Aiti: Jurnal Teknologi Informasi Jurnal Teknik Informatika (JUTIF) Advance Sustainable Science, Engineering and Technology (ASSET) International Journal of Social Science Indexia J-SAKTI (Jurnal Sains Komputer dan Informatika) KINGDOM : Jurnal Teologi dan Pendidikan Agama Kristen Jurnal Minfo Polgan (JMP) Jurnal Teknologi Sistem Informasi Jurnal Komputer Teknologi Informasi Sistem Komputer (JUKTISI) Prioritas : Jurnal Pengabdian Kepada Masyarakat Magistrorum et Scholarium: Jurnal Pengabdian Masyarakat IT-Explore: Jurnal Penerapan Teknologi Informasi dan Komunikasi Eduvest - Journal of Universal Studies Jurnal INFOTEL Journal of Technology Informatics and Engineering Jurnal Pendidikan Teknologi Informasi (JUKANTI) Jurnal Indonesia : Manajemen Informatika dan Komunikasi Scientific Journal of Informatics CSRID Society Jurnal DIMASTIK Proceedings of The International Conference on Computer Science, Engineering, Social Sciences, and Multidisciplinary Studies
Hendry
Universitas Kristen Satya Wacana
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Neuroscience Physics Public Health Social Sciences Transportation Other

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Digital Support Systems for Vocational Education to Drive Sustainable Skill Development Suherman, Suherman; Ismael, Ismael; Marlina, Leni; Hendry, Hendry
Proceedings of The International Conference on Computer Science, Engineering, Social Science, and Multi-Disciplinary Studies Vol. 1 (2025)
Publisher : CV Raskha Media Group

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64803/cessmuds.v1.47

Abstract

This paper examines the role of Digital Support Systems in strengthening vocational education and accelerating sustainable skill development. The study highlights how integrated digital platforms, ranging from adaptive learning systems, virtual simulations, digital assessment tools, and learning analytics, enhance instructional quality, ensure competency alignment with industry demands, and improve learner engagement. The findings show that digital support systems enable more personalized learning paths, real-time performance monitoring, and greater accessibility for diverse learners. Moreover, these systems help vocational institutions respond quickly to evolving labor-market skills, reduce training gaps, and improve long-term workforce readiness. The paper concludes that adopting well-designed digital support systems is essential for building a resilient, future-oriented vocational education ecosystem capable of sustaining continuous skill development in the digital era.
Information Technology Governance Design in DevOps-Based E-Marketplace Companies Using COBIT 2019 Framework Lestari, Merryana; Iriani, Ade; Hendry, Hendry
INTENSIF: Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi Vol 6 No 2 (2022): August 2022
Publisher : Universitas Nusantara PGRI Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29407/intensif.v6i2.18104

Abstract

The E-Marketplace system is a digital place where sellers and buyers meet virtually, and transactions can be processed safely. E-Marketplace companies are oriented toward consumer-centric products and services and operate and have 24/7 non-stop transaction activities. E-Marketplace system development has become the digital transformation in Information Technology (IT) governance that meets the requirements of a system-based automated control with the application of DevOps principles. This study uses a mixed method approach through questionnaires, interviews, expert judgment, and relevant literature reviews related to the e-Marketplace system and IT governance concepts using the COBIT 2019 framework, which has 11 design factors with 40 IT processes to obtain the most appropriate governance model for e-Marketplace companies. The results were obtained in the form of 6 (six) methods in the IT governance model using the DevOps approach, namely the APO03 – Managed Enterprise Architecture, APO04 – Managed Innovation, BAI04 – Managed Availability and Capacity, BAI06 – Managed IT Changes, BAI11 – Managed Projects, and DSS03 – Managed Problems with a score ≥ 75 and the capability level target is at level 4.
Penggunaan Data Mining dalam Mengklasifikasi Nominal Uang Rupiah dengan Metode Convolutional Neural Network (CNN) Suvirocana, Suvirocana; Hendry, Hendry
Jurnal Indonesia : Manajemen Informatika dan Komunikasi Vol. 7 No. 1 (2026): Januari
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM) STMIK Indonesia Banda Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63447/jimik.v7i1.1672

Abstract

This study aims to implement the Convolutional Neural Network (CNN) method to identify the authenticity of Indonesian banknotes through image classification into seven categories (classes). The dataset used consists of banknote images captured under various real-world conditions, including differences in printing quality, degrees of wear or deterioration, lighting variations, and multiple shooting angles to obtain diverse image variations. Through this approach, the system is expected to learn distinctive visual patterns and features of each banknote denomination, including texture, color, and embedded security elements found in genuine currency. After the training process, the model is evaluated to measure its accuracy and frames per second (FPS) as performance indicators for real-time recognition. The results of this research are expected to contribute to the development of effective and efficient image processing technology to assist in the automatic classification and detection of Indonesian banknote authenticity, thereby minimizing human error and enhancing security in financial transactions.
Optimizing Network Traffic Classification Models with a Hybrid Approach for Large-Scale Data Handoko, Andrew C; Hendry, Hendry; Wellem, Theophilus
CogITo Smart Journal Vol. 11 No. 2 (2025): Cogito Smart Journal
Publisher : Fakultas Ilmu Komputer, Universitas Klabat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31154/cogito.v11i2.966.281-294

Abstract

The escalating threat of cyberattacks necessitates the development of intrusion detection models that are both accurate and computationally efficient for large-scale network traffic. To address this issue, this study proposes a hybrid approach combining Autoencoder, Convolutional Neural Network (CNN), and XGBoost as an adaptive and lightweight solution for network traffic classification. The key contribution of this research lies in the design of a multi-stage pipeline that performs dimensionality reduction, feature extraction, and final classification. The model was evaluated using the Moore Dataset, which contains complex and high-dimensional network traffic data. The experimental results indicate that the proposed hybrid model achieved a classification accuracy of 99.20% with a testing time of only 0.09 seconds. Furthermore, the pipeline significantly reduced computational load compared to single CNN or XGBoost models. These findings demonstrate that the hybrid approach not only offers high classification performance but also enhances scalability and efficiency, making it suitable for real-world implementation in modern network security systems. Overall, the proposed model presents a promising and practical solution for advancing future intrusion detection systems.
Sentiment Analysis of e-Government Service Using the Naive Bayes Algorithm Winny purbaratri; Hindriyanto Dwi Purnomo; Danny Manongga; Iwan Setyawan; Hendry Hendry
MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer Vol. 23 No. 2 (2024)
Publisher : Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/matrik.v23i2.3272

Abstract

E-Government which involves the use of communication and information technology to provide Public services have three obstacles. One of these obstacles is the implementation of e-Government by autonomous regional governments is still carried out individually. Apart from that, implementing the website regions are also not supported by efficient management systems and work processes, this is partly the case This is largely due to the lack of preparation of regulations, procedures and limited resources man. Apart from that, many local governments consider implementing e-Government only involves developing local government websites. More precisely, the implementation of e-Government It is only limited to the maturity stage and ignores the three other important stages that need to be completed. The aim of this research is to determine the level of public approval for government application services. This research uses the Naive Bayes Classifier approach as the methodology. The data sources used in this research consist of user reviews and comments obtained from Google Play Store. The results of this investigation produce a level of precision The highest is achieving a score of 83%. Additionally it shows an accuracy rate of 83%,levelcompleteness is 100%, and F-measure is 90.7%.
Analisis Kepuasan Pengguna Menggunakan Kombinasi End User Computing Satisfaction Dan Servqual Pada Website KEMENAG Provinsi Maluku Nalbraint Wattimena; Kristoko Dwi Hartomo; Hendry Hong
JURNAL INFOTEL Vol 17 No 1 (2025): February 2025
Publisher : LPPM INSTITUT TEKNOLOGI TELKOM PURWOKERTO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20895/infotel.v17i1.1264

Abstract

In recent years, the need for online service information has been increasing. To meet this need, the Regional Office of the Ministry of Religious Affairs in Maluku Province, through religious institutions, provides service information on their website using information system technology. In the last three months, total visits to the Ministry's website have increased by 39.4%. However, there are still issues with the website, such as complicated and time-consuming navigation due to large and numerous menu displays. A user satisfaction survey for this website has also never been conducted. Due to these issues, the researchers are interested in studying user satisfaction with the Ministry of Religious Affairs website using a combination of the EUCS and Servqual methods. This study aims to obtain an in-depth understanding of user satisfaction with the website using these combined methods and to identify various factors influencing user satisfaction. The results indicate that 8 variables have very high satisfaction values. From the T-test conducted, 7 variables affect user satisfaction: accuracy, format, ease of use, timeliness, responsiveness, assurance, and empathy. Among these, the most influential variable is format. Meanwhile, one variable, content, does not affect user satisfaction. According to the F-test results, the variables content, accuracy, format, ease of use, timeliness, responsiveness, assurance, and empathy collectively influence user satisfaction.
The Role of Profitability in Mediating the Effect of Capital Structure and Liquidity on Firm Value of Transportation and Logistics Companies Listed on the Indonesia Stock Exchange 2020 until 2024 Giarti, Giarti; Lie, Darwin; Hendry, Hendry; Simanjuntak, Dahnil Anzar; Rostina, Cut Fitri
JURNAL AKUNTANSI FINANCIAL STIE SULTAN AGUNG Vol 12 No 1S (2026): (International Conference ICEBEMA Dr. Soetomo University and ICEBesMA Prima Ind
Publisher : Sekolah Tinggi Ilmu Ekonomi Sultan Agung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37403/financial.v12i1S.829

Abstract

This study aims to examine the influence of product, price, and promotion on consumer purchase decisions. In an increasingly competitive market, companies must be able to offer products with superior value supported by appropriate pricing strategies and effective promotional efforts to influence consumer decisions. This research employs a quantitative approach, using a structured questionnaire distributed to consumers as respondents. Data analysis was conducted through multiple linear regression to determine the extent to which each independent variable affects purchase decisions.The results reveal that the product variable has a positive and significant impact on purchase decisions, indicating that product quality, features, and suitability with consumer needs strongly shape consumers’ choices. The price variable also significantly influences purchase decisions, suggesting that reasonable pricing aligned with product benefits and consumer purchasing power is a critical factor. Additionally, promotion shows a significant effect on purchase decisions, as clear, attractive, and well-targeted promotional activities can increase consumer interest. These findings highlight the importance of managing product quality, pricing, and promotional strategies simultaneously to improve consumer purchase decisions and strengthen market competitiveness.
Co-Authors Ade Iriani Adenia Kusuma Dayanthi Adriyanto Juliastomo Gundo Agista Nindy Yuliarina Agus Susanto Amanda, M. F. Anton Hermawan April Lia Hananto Atik Setyanti, Angela Aviv Yuniar Rahman Baihaqi, Kiki Ahmad Benedictus Lanang Ido Hernanto Christine Dewi Daniel, Benny Danny Manongga Darwin Lie Dewasasmita, Elsha Yuandini Dewi Puspitasari Eka, Muhammad Eko Sediyono eric secada purba Erick Alfons Lisangan Erits Talapessy Erwien Christianto Ester Caroline Dwi Wijaya Wijaya Fauzi Ahmad Muda Fenny Fenny Franly Salmon Pattiiha Fredryc Joshua Pa'o Giarti, Giarti Gunawan, Ricardho Handoko Handoko Handoko, Andrew C Hanita Yulia Hendra Waskita Herdin Yohnes Madawara Hindriyanto Dwi Purnomo Huda, Baenil Indriaty, Novica Irwan Sembiring Ismael Ismael Ivan Sukma Hanindria Iwan Setiawan Iwan Setyawan Jessica Margaret Br Sembiring Joko Siswanto Julians, Adhe Ronny Kesumawati, Ramadini Kho, Delvian Christoper Krismiyati Kristoko Dwi Hartomo Kurnia, Sri Kurniawan Teguh Martono Leni Marlina Liawatimena, S. Lidia Gayatri Madawara, Herdin Yohnes Mado, Priscianus Mikael Kia Magda Kitty Hartono Mahulete, Ebenhaezer Yohanes Abdeel Manongga, Daniel Margaretha Intan Pratiwi Hant Martaliana Putri Agustina Merryana Lestari Muhammad Khahfi Zuhanda Muhammad Rizky Pribadi Nadia Sofie Soraya Nalbraint Wattimena Nansy Stephanie Mongi Nugraha, Febrina Tesalonika Panja, Eben Paryono, Tukino Pratama Siregar, Hari Nanda Pratama, Arya Damar Purnomo, Hendryanto Dwi Putri Dwi Novrina Raden Mohamad Herdian Bhakti Ramos Somya Ravensca Matatula Ravensca Matatula Richard V. Llewelyn Rizal, Chairul Robertus Bagaskara Radite Putra Ronny Julians, Adhe Rostina, Cut Fitri Rung Ching Chen Santoso, Joseph Teguh Saputri, Adelliya Dewi Septhiani, Angeline Sholikin, Muhammad Simanjuntak, Dahnil Anzar Sjukun Suharyadi Suherman, Suherman Sukiman Sukiman Supiyandi Supiyandi Susanta, Vonny A. Sutarto Wijono Suvirocana, Suvirocana Syefudin Syefudin Tarigan, Aldi Ekin Arapenta Teddy Marcus Zakaria Theopillus J. H. Wellem Tukino, Tukino Uly, Novem Untung Rahardja Vanisa Meifari Wahyuningsih, Novia Wibowo, Kurniawan Indra Widi, Anugerah Wijaya, Elyzabeth Winny purbaratri Yandra Rivaldo Yessica Nataliani Zulham Zulham