Articles
<![CDATA[Sistem Pendukung Keputusan Penerimaan Bonus Karyawan menggunakan Metode TOPSIS ]]>
<![CDATA[Sama, Hendi]]>;
<![CDATA[Permata, Dwi Ninda]]>
<![CDATA[ Telcomatics Vol. 8 No. 2 (2023) ]]>
Publisher : <![CDATA[Universitas Internasional Batam ]]>
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DOI: 10.37253/telcomatics.v8i2.8588
<![CDATA[Decision support systems determine employees who have a high priority in receiving bonuses according to criteria set by the company. The decision system is only to help provide decision suggestions more quickly, accurately, and reduce the level of errors during the decision process. The bonus system that employees receive as a design strategy for each employee can work even more. The application of the TOPSIS method has the smallest distance from the positive ideal solution and has the largest distance from the negative ideal solution to produce the ideal solution in the form of a preference value. The results of this study indicate a decision support system that can determine the level of eligibility of an employee to receive bonuses. The criteria used are attendance, behavior, loyalty and work results. As a consideration for the decision makers such as the head of the division, manager. To improve the quality of employee appraisals, in order to be able to give bonuses properly by paying attention to the determination of criteria and provide assessment criteria that are appropriate to increase employee performance motivation.]]>
<![CDATA[Pengembangan Website di Sekolah SMK Advent Batam ]]>
<![CDATA[Sama, Hendi]]>;
<![CDATA[Fernando, Ricky]]>
<![CDATA[ Journal of Information System and Technology (JOINT) Vol. 5 No. 2 (2024): Journal of Information System and Technology (JOINT) ]]>
Publisher : <![CDATA[Program Sarjana Sistem Informasi, Universitas Internasional Batam ]]>
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DOI: 10.37253/joint.v5i2.9485
<![CDATA[Digital technology is a discovery that continues to evolve along with the development of the world. Digital technology can be utilized for various purposes, such as supporting the teaching and learning process and accessing information more easily. One of the digital media that can be used to support schools is a profile website. The presence of a profile website can have a significant impact on users, such as prospective students and parents, as well as support school promotion and communication. This project aims to develop a profile website for SMK Advent Batam to provide information about the school's facilities, expertise programs, and activities. Data collection was carried out through literature studies and interviews with the principal. The result of this project is a responsive website that supports SMK Advent Batam's online visibility and effective communication.]]>
<![CDATA[Analisis Kualitas Online Marketplace Tanaman Hias Menggunakan Pendekatan Kualitatif Studi Kasus Kota Batam ]]>
<![CDATA[Sama, Hendi]]>;
<![CDATA[Djayadhinata, Djayadhinata]]>
<![CDATA[ Journals of Ners Community Vol 13 No 5 (2022): Jurnal of Ners Community ]]>
Publisher : <![CDATA[Fakultas Ilmu Kesehatan Universitas Gresik ]]>
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DOI: 10.55129/jnerscommunity.v13i5.2216
<![CDATA[Sistem informasi untuk mendukung para usaha kecil menengah berbasis website digunakan untuk mempermudah para perlaku usaha dalam mengelola toko online yang dibangun. Permasalahan yang mengemuka adalah bagaimana cara menguji keefektifan aplikasi merancang dengan pendekatan kualitatif, untuk mengetahui bagaimana menguji keefektifan online marketplace untuk menjual tanaman hias dengan metode SCRUM. Hasil dari penelitian ini menunjukan bahwa website online marketplace yang telah dikembangkan memudahkan para peminat tanaman untuk menjual atau membeli tanaman pada suatu online market.]]>
<![CDATA[Analysis of the Use of Distance Learning Technology in Universities in the Riau Islands Province with the Technology Acceptance Model (TAM) ]]>
<![CDATA[Sama, Hendi]]>;
<![CDATA[Wibowo, Tony]]>;
<![CDATA[Tukino]]>
<![CDATA[ Jurnal Penelitian Pendidikan IPA Vol 9 No 12 (2023): December ]]>
Publisher : <![CDATA[Postgraduate, University of Mataram ]]>
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DOI: 10.29303/jppipa.v9i12.5836
<![CDATA[The problem that is the focus of the research is the use of distance learning technology at universities in the Riau Islands Province using the Technology Acceptance Model approach. This research aims to analyze user perceptions on ease of use, usability, usage behavior, and use of distance learning technology. This research aims to determine user perceptions of distance learning technology in universities in the Riau Islands Province. Apart from that, this research also aims to evaluate the influence of the ease of use perspective, usability perspective, and usage behavior on the use of distance learning technology. The research results show that research respondents, who are academics and staff at universities in the Riau Islands Province, have a high perception of distance learning technology. From the test results, it was found that there was no significant influence between the ease of se perspective and the usability perspective on the use of distance learning technology. However, usage behavior has a significant influence on the use of distance learning technology. Apart from that, these three variables together have an influence of 69.70% on the use of distance learning technology.]]>
<![CDATA[Analisis Pengaruh Game Online Dan Motivasi Bermain Terhadap Minat Belajar Siswa SD di Kota Batam ]]>
<![CDATA[Sama, Hendi]]>;
<![CDATA[Syahputra, Bayu]]>;
<![CDATA[Siahaan, Mangapul]]>;
<![CDATA[Zulkarnain, Zulkarnain]]>;
<![CDATA[Sabariman, Sabariman]]>;
<![CDATA[Eryc, Eryc]]>
<![CDATA[ Journal of Information System and Technology (JOINT) Vol. 6 No. 3 (2025): Journal of Information System and Technology (JOINT) ]]>
Publisher : <![CDATA[Program Sarjana Sistem Informasi, Universitas Internasional Batam ]]>
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DOI: 10.37253/joint.v6i3.11501
<![CDATA[This study aims to determine the effect of online games and playing motivation on the learning interest of elementary school students in Batam City. The research method used is a qualitative and quantitative method with variables Online Games (X1), Motivation to Play (X2) and Interest in Learning (Y). The qualitative method took 30 samples of elementary school students, and the quantitative method took 392 samples of elementary school students with the population set at 20,000, because there is no specific number. Qualitative data collection techniques were carried out by interviewing respondents, while quantitative data collection, it was done by distributing questionnaires and measurement using a Likert scale. Data analysis in both methods was carried out using the SPSS application, specifically for the qualitative method was codified first. From the results of the qualitative and quantitative analysis, it can be concluded that the variables Online Games and Motivation to Play partially and simultaneously have a significant effect on the variable Interest in Learning. It can also be concluded that the variable Interest in Learning is influenced by the variables Online Games and Motivation to Play by 59.9% while 40.1% is influenced by other variables not examined in this study.]]>
<![CDATA[CAMERA BASED OBJECT DETECTION AND TRACKING SYSTEM DESIGN FOR DETECTING PCB OBJECTS IN THE MANUFACTURING INDUSTRY ]]>
<![CDATA[Anas Aklani, Syaeful]]>;
<![CDATA[Salsabila, Nanda]]>;
<![CDATA[Sama, Hendi]]>
<![CDATA[ Journal of Computer and Information System ( J-CIS ) Vol 8 No 2 (2025): J-CIS Vol. 8 No. 2 Tahun 2025 ]]>
Publisher : <![CDATA[Universitas Sulawesi Barat ]]>
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DOI: 10.31605/jcis.v8i2.5793
<![CDATA[Pengembangan sistem inspeksi kualitas pada industri manufaktur, khususnya pada Printed Circuit Board (PCB), menghadapi tantangan signifikan akibat proses manual yang memakan waktu dan berpotensi menimbulkan kesalahan. Penelitian ini bertujuan untuk merancang dan mengembangkan sistem object detection dan tracking berbasis kamera yang mampu mendeteksi serta melacak pergerakan PCB secara otomatis dengan tingkat akurasi tinggi pada kondisi produksi yang dinamis. Metode penelitian yang digunakan adalah research and development (R&D) melalui tahapan analisis kebutuhan, perancangan, implementasi, pengujian, dan evaluasi sistem. Model deteksi dilatih menggunakan algoritma Convolutional Neural Network (CNN) dengan framework YOLO untuk klasifikasi PCB dan Non-PCB, sedangkan pelacakan dilakukan secara real-time. Hasil pengujian menunjukkan bahwa model mencapai akurasi pelatihan dan validasi sebesar 100% dengan nilai precision, recall, dan F1-score sebesar 1.00 pada kedua kelas. Sistem yang dikembangkan terbukti mampu meningkatkan efisiensi proses inspeksi, meminimalkan kesalahan produksi, serta berkontribusi pada upaya transformasi digital di sektor manufaktur Indonesia.]]>
<![CDATA[Analisis Pengaruh Perceived Risk Terhadap Online Purchase Intention Pada Facebook Marketplace Masyarakat Batam Pendekatan Multi-Method ]]>
<![CDATA[Sama, Hendi]]>;
<![CDATA[., Henly]]>
<![CDATA[ JSI (Jurnal sistem Informasi) Universitas Suryadarma Vol 10 No 1 (2023): JSI (Jurnal sistem Informasi) Universitas Suryadarma ]]>
Publisher : <![CDATA[Universitas Dirgantara Marsekal Suryadarma ]]>
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DOI: 10.35968/jsi.v10i1.1011
<![CDATA[There are many risks that the general public needs to be aware of when purchasing on the internet. The purpose of this study is to comprehend some significant perceived risk implications for mass online purchasing on the Facebook marketplace. Population that was used in this study was the population of Batam City. The methodology of this study uses both quantitative and qualitative. The gathering of the research is carried out via online questionnaire and interviews. Following the collection of data, a multiple linear regression was used for analysis. The results of this study indicate that there may be a connection between indicators of finance risk and psychological risk and the general public's willingness to buy. This was done using a quantitative method that indicated the existence of any evidence linking product risk to consumer purchasing behavior. This is supported by a qualitative study that shows how people's purchasing intentions are influenced by product risk concerns. In order to boost Batam City residents' intentions to make online purchases, this study makes recommendations on Facebook for reducing the impact of finance risk factors, psychological risk factors, and product risk factors.Top of Form]]>
<![CDATA[The Effectiveness of Smart Traffic Management system in Indonesia: Systematic Literature Review ]]>
<![CDATA[Sama, Hendi]]>;
<![CDATA[Yulianto, Andik]]>;
<![CDATA[Lius, Kevin]]>
<![CDATA[ CESS (Journal of Computer Engineering, System and Science) Vol. 11 No. 1 (2026): Januari 2026 ]]>
Publisher : <![CDATA[Universitas Negeri Medan ]]>
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<![CDATA[Traffic congestion in Indonesia causes significant economic losses and impacts the quality of life of the community. The Smart Traffic Management System (STMS) emerges as a technology-based solution that integrates the Internet of Things (IoT), Artificial Intelligence (AI), and big data to manage vehicle flow adaptively. This research employs the Systematic Literature Review (SLR) method with the PRISMA approach to analyze the effectiveness of STMS in reducing congestion and carbon emissions, both in Indonesia and in other countries. The reviewed articles indicate that STMS can reduce vehicle travel time by 8-15%, improve traffic flow smoothness by up to 50%, and decrease carbon emissions by 30-40% per year. Trials in Jakarta demonstrate a 15% increase in traffic smoothness and a reduction in travel time during peak hours. These findings confirm that the implementation of STMS has tremendous potential to realize a more efficient, safe, environmentally friendly, and sustainable urban transportation system.]]>
<![CDATA[Ensemble-Based Machine Learning for Improving Local Weather Prediction Accuracy in Batam, Indonesia ]]>
<![CDATA[Sama, Hendi]]>;
<![CDATA[Gumolung, Randy]]>;
<![CDATA[Christian, Yefta]]>
<![CDATA[ INOVTEK Polbeng - Seri Informatika Vol. 11 No. 1 (2026): February ]]>
Publisher : <![CDATA[P3M Politeknik Negeri Bengkalis ]]>
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DOI: 10.35314/9p53qe06
<![CDATA[Accurate short-term rainfall prediction in tropical microclimates such as Batam remains challenging due to strong local atmospheric variability and the limited generalization capability of single-model classifiers. This study proposes an ensemble-based framework that integrates Naïve Bayes, C4.5, and Random Forest through a majority-voting mechanism for multi-class hourly rainfall prediction. The experiments were conducted using multi-year hourly meteorological data collected for Batam City from an open-source weather archive, covering key atmospheric variables and exhibiting an imbalanced rainfall-class distribution. Model performance was evaluated using ten-fold cross-validation with accuracy, precision, recall, and F1-score metrics. The proposed ensemble achieved an accuracy of 84.74%, consistently outperforming the corresponding base classifiers. The model demonstrated strong predictive capability for dominant rainfall classes (TidakHujan and HujanRingan), while reduced performance was observed for HujanSedang and HujanBerat due to class imbalance, a well-documented challenge in tropical rainfall modeling. Overall, the results indicate that combining probabilistic and tree-based learners yields a more stable and reliable prediction framework for localized tropical weather. This work contributes a practical and reproducible ensemble approach tailored to microclimate conditions, offering a foundation for improved data-driven rainfall forecasting in similar high-variability]]>
<![CDATA[Teknologi Informasi, Media Sosial, dan Transformasi Digital Terhadap Performa Usaha UMKM Laundry di Kota Batam ]]>
<![CDATA[Tjahyadi, Surya]]>;
<![CDATA[Claudia Erica, Cindy]]>;
<![CDATA[Sama, Hendi]]>
<![CDATA[ JSAI (Journal Scientific and Applied Informatics) Vol 9 No 1 (2026): Januari ]]>
Publisher : <![CDATA[Fakultas Teknik Universitas Muhammadiyah Bengkulu ]]>
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DOI: 10.36085/jsai.v9i1.9545
<![CDATA[This study examines the effects of information technology, social media, and digital transformation on the business performance of laundry MSMEs in Batam City using a quantitative associative approach. Data were collected from 94 owners or managers of laundry MSMEs through questionnaires and analyzed using IBM SPSS Statistics 25. Classical assumption tests indicated that the data were normally distributed and free from multicollinearity and heteroscedasticity. Simultaneous testing showed that information technology, social media, and digital transformation jointly have a significant effect on business performance (F = 4.588; p = 0.005). However, partial test results revealed that only social media has a positive and significant effect on business performance, while information technology and digital transformation do not show significant effects. These findings suggest that in small-scale service MSMEs, market-oriented digital tools are more effective in improving business performance than complex internal technology adoption.]]>
