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All Journal CESS (Journal of Computer Engineering, System and Science) JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING IJIS - Indonesian Journal On Information System Journals of Ners Community Jurnal Teknologi dan Informasi JSI (Jurnal sistem Informasi) Universitas Suryadarma Jurnal Teknologi Dan Sistem Informasi Bisnis Prosiding National Conference for Community Service Project Jurnal Sistem Informasi, Teknologi Informasi, dan Edukasi Sistem Informasi (JUST-SI) Telcomatics Journal of Information System and Technology (JOINT) Journal of Computer and Information System (J-CIS) INOVTEK Polbeng - Seri Informatika Smatika Jurnal : STIKI Informatika Jurnal
Sama, Hendi
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Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Nursing

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Sistem Pendukung Keputusan Penerimaan Bonus Karyawan menggunakan Metode TOPSIS Sama, Hendi; Permata, Dwi Ninda
Telcomatics Vol. 8 No. 2 (2023)
Publisher : Universitas Internasional Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37253/telcomatics.v8i2.8588

Abstract

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.
Pengembangan Website di Sekolah SMK Advent Batam Sama, Hendi; Fernando, Ricky
Journal of Information System and Technology (JOINT) Vol. 5 No. 2 (2024): Journal of Information System and Technology (JOINT)
Publisher : Program Sarjana Sistem Informasi, Universitas Internasional Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37253/joint.v5i2.9485

Abstract

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.
Analisis Kualitas Online Marketplace Tanaman Hias Menggunakan Pendekatan Kualitatif Studi Kasus Kota Batam Sama, Hendi; Djayadhinata, Djayadhinata
Journals of Ners Community Vol 13 No 5 (2022): Jurnal of Ners Community
Publisher : Fakultas Ilmu Kesehatan Universitas Gresik

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55129/jnerscommunity.v13i5.2216

Abstract

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.
Analisis Pengaruh Game Online Dan Motivasi Bermain Terhadap Minat Belajar Siswa SD di Kota Batam Sama, Hendi; Syahputra, Bayu; Siahaan, Mangapul; Zulkarnain, Zulkarnain; Sabariman, Sabariman; Eryc, Eryc
Journal of Information System and Technology (JOINT) Vol. 6 No. 3 (2025): Journal of Information System and Technology (JOINT)
Publisher : Program Sarjana Sistem Informasi, Universitas Internasional Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37253/joint.v6i3.11501

Abstract

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.
CAMERA BASED OBJECT DETECTION AND TRACKING SYSTEM DESIGN FOR DETECTING PCB OBJECTS IN THE MANUFACTURING INDUSTRY Anas Aklani, Syaeful; Salsabila, Nanda; Sama, Hendi
Journal of Computer and Information System ( J-CIS ) Vol 8 No 2 (2025): J-CIS Vol. 8 No. 2 Tahun 2025
Publisher : Universitas Sulawesi Barat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31605/jcis.v8i2.5793

Abstract

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.
Analisis Pengaruh Perceived Risk Terhadap Online Purchase Intention Pada Facebook Marketplace Masyarakat Batam Pendekatan Multi-Method Sama, Hendi; ., Henly
JSI (Jurnal sistem Informasi) Universitas Suryadarma Vol 10 No 1 (2023): JSI (Jurnal sistem Informasi) Universitas Suryadarma
Publisher : Universitas Dirgantara Marsekal Suryadarma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35968/jsi.v10i1.1011

Abstract

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
The Effectiveness of Smart Traffic Management system in Indonesia: Systematic Literature Review Sama, Hendi; Yulianto, Andik; Lius, Kevin
CESS (Journal of Computer Engineering, System and Science) Vol. 11 No. 1 (2026): Januari 2026
Publisher : Universitas Negeri Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24114/cess.v11i1.71654

Abstract

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.
Ensemble-Based Machine Learning for Improving Local Weather Prediction Accuracy in Batam, Indonesia Sama, Hendi; Gumolung, Randy; Christian, Yefta
INOVTEK Polbeng - Seri Informatika Vol. 11 No. 1 (2026): February
Publisher : P3M Politeknik Negeri Bengkalis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35314/9p53qe06

Abstract

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 Naive 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 regions
The Cyber Threat Landscape in Indonesia: Attacks and Security System Analysis Sama, Hendi; Stefanie; Prasetyo, Stefanus Eko
SMATIKA JURNAL : STIKI Informatika Jurnal Vol 16 No 01 (2026): SMATIKA Jurnal : STIKI Informatika Jurnal
Publisher : LPPM Universitas Bhinneka Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/smatika.v16i01.2200

Abstract

Cybersecurity in learning systems has become increasingly important as educational institutions rely more heavily on digital platforms such as learning management systems, online assessments, and cloud-based academic services. This rapid digital transformation exposes learning environments to sophisticated cyber threats that may disrupt academic activities and compromise sensitive information. However, many institutions still lack a clear understanding of how users perceive cyber risks and how these perceptions influence the effectiveness of cybersecurity systems. Currently, there is a significant research gap regarding empirical evidence that links user behavioral psychology with technical security outcomes in the Indonesian educational context. This study aims to empirically analyze the relationship between cyber awareness, perceived impact of cyber attacks, and perceived effectiveness of cybersecurity systems in digital learning environments. A quantitative research approach was applied using data collected from 402 respondents. The data were analyzed through descriptive statistics, correlation analysis, regression analysis, and group comparison tests to examine variable relationships and demographic differences. The findings indicate that cyber awareness significantly and positively predicts perceived system effectiveness (β = 0.501, p < 0.001), demonstrating that higher awareness levels enhance overall cybersecurity performance. Conversely, the perceived impact of cyber attacks does not show a significant effect on system effectiveness, suggesting that awareness is more influential than threat perception alone. Additional results reveal gender-based differences in cyber incident experiences, while awareness levels remain similar. The practical implications emphasize the importance of cybersecurity awareness programs, digital safety education, and proactive defense strategies to strengthen protection in learning systems and improve institutional cybersecurity readiness.
EVALUASI DAN PENINGKATAN PENANGANAN INSIDEN IT MENGGUNAKAN ITIL V3 DI PERUSAHAAN SOFTWARE HOUSE STUDI KASUS: PT. TAKTIKAL PINTAR KINETIKA Zulkarnain, Z; Dienro, Foli; Sama, Hendi
IJIS - Indonesian Journal On Information System Vol 11, No 1 (2026): APRIL
Publisher : POLITEKNIK SAINS DAN TEKNOLOGI WIRATAMA MALUKU UTARA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36549/ijis.v11i1.442

Abstract

Penelitian ini dilakukan di PT. Taktikal Pintar Kinetika untuk memperbaiki proses pelaporan dan penanganan insiden Teknologi Informasi (TI) yang sebelumnya dilakukan melalui email. Sistem lama dinilai lambat, tidak terstruktur, dan sulit dipantau. Sebagai solusi, penelitian ini menerapkan kerangka kerja ITIL V3 dengan membangun sistem pelaporan baru berbasis WhatsApp dan Google Sheet. Tujuannya adalah mempercepat respon, memperbaiki dokumentasi, serta meningkatkan kepatuhan terhadap Service Level Agreement (SLA). Penelitian ini menggunakan metode applied research dengan pendekatan kuantitatif, di mana data dikumpulkan selama periode September–Oktober 2025. Hasil penelitian menunjukkan adanya peningkatan signifikan terhadap kinerja layanan TI. Waktu respon insiden berkurang dari rata-rata 1–2 jam menjadi 1–2 menit, dan tingkat kepatuhan terhadap SLA mencapai 92,7%. Dokumentasi insiden kini tercatat lebih rapi, mudah dipantau, serta memudahkan evaluasi dan analisis kinerja tim IT. Secara keseluruhan, penerapan sistem berbasis WhatsApp dan Google Sheet dengan panduan ITIL V3 terbukti menjadi solusi sederhana namun efektif untuk meningkatkan efisiensi, transparansi, dan kualitas layanan TI di perusahaan.Kata Kunci: ITIL V3, Manajemen Insiden, SLA, WhatsApp, Google Sheet
Co-Authors ., Henly Aboagye, Osei Enoch Adi Agus Yanto Andik Yulianto Christian, Yefta Deli Dienro, Foli Djayadhinata, Djayadhinata Eryc, Eryc Firmansyah, Muhamad Dody Gabriella, Jessica Gautama Wijaya Gumolung, Randy Hendi Che Hilton, Chelsea Jerry Khomali, Carlos Justin Liang, Suwarno Lius, Kevin Muhamad Dody Firmansyah Mungkap Mangapul Siahaan Nasution, Dimas Firmansyah Permata, Dwi Ninda Prasetyo, Stefanus Eko Putra, Edi Yulianto Putra, Edy Yulianto Ricky Fernando Sabariman Sabariman Sabariman Sabariman Salsabila, Nanda Selina Stefanie Syaeful Anas Aklani, Syaeful Syahputra, Bayu Ting, Vincent Vannesse Titoni, Erica Tjahyadi, Surya Tony Jack Tan Ding Tony Wibowo, Tony Vanessa, Nancy Vendryan WAN, Jed Wan Z Zulkarnain, Z Zhang, Wesley Zulkarnain Zulkarnain Zulkarnain