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SITEKNIK: Sistem Informasi, Teknik dan Teknologi Terapan
Published by RAM PUBLISHER
ISSN : 30901626     EISSN : 30323991     DOI : -
Core Subject : Humanities, Science, Engineering,
Humanities Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management
SITEKNIK: Sistem Informasi, Teknik dan Teknologi Terapan or in English the publication title Information Systems, Engineering and Applied Technology is an open access journal committed to publishing high quality research articles in the fields of Information Systems, Informatics, Digital Communication Information Technology, Tourism Technology, Transportation Technology, Agricultural Technology, Plantations, Fisheries, Marine, Environmental Technology, Artificial Intelligence, Mechanical Engineering, Electrical Engineering, Industrial Engineering and Civil Engineering. Published 4 X (Times) a year in January, April, July, and October. SITEKNIK accepts and selects quality articles and focuses on providing the best service for writers. SITEKNIK is committed to being a leading platform for researchers to share their innovative findings. We also provide a fast and transparent review process to ensure the quality and originality of each published article.
Arjuna Subject : Ilmu Komputer (semua kategori) - Sistem Informasi
Articles 55 Documents
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Prediksi Kelulusan Mahasiswa Pada Program Studi Akuntansi Fakultas Ekonomi Dan Bisnis Universitas Khairun Dengan Algoritma C4.5 Usman Sadik; Santosa; Salim Albaar
SITEKNIK: Sistem Informasi, Teknik dan Teknologi Terapan Vol. 3 No. 2 (2026): April
Publisher : RAM PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.18825451

Abstract

Tingkat kelulusan tepat waktu mahasiswa pada Program Studi Akuntansi Fakultas Ekonomi dan Bisnis Universitas Khairun masih relatif rendah. Berdasarkan data lima tahun terakhir, rerata kelulusan tepat waktu tercatat mencapai 17,61%. Kondisi tersebut mendorong perlunya upaya untuk mengidentifikasi dan memprediksi faktor-faktor yang memengaruhi kelulusan mahasiswa sebagai dasar intervensi akademik yang lebih dini. Penelitian ini mengembangkan aplikasi prediksi kelulusan mahasiswa menggunakan metode decision tree dengan algoritma C4.5. Variabel yang digunakan meliputi asal sekolah, penghasilan orang tua, jalur masuk, IPK, indeks prestasi semester 1 hingga semester 6, serta status beasiswa. Dataset penelitian terdiri dari 83 mahasiswa angkatan 2020 sebagai data pelatihan dan 137 mahasiswa angkatan 2021 sebagai data pengujian. Kinerja model dievaluasi menggunakan teknik K-Fold Cross Validation dengan nilai K=5. Hasil pengukuran dan pengujian menunjukkan bahwa model C4.5 menghasilkan akurasi 69,67%, presisi 24,49%, recall 70,59%, dan F1-score 36,36%. Faktor yang paling dominan dalam menentukan kelulusan adalah indeks prestasi semester 6 pada kategori A. Model yang dihasilkan berpotensi dimanfaatkan sebagai alat pendukung evaluasi akademik dan pengambilan keputusan pada institusi pendidikan.
Analisis Tata Kelola Sistem Informasi Dengan Framework COBIT 5 : Studi Kasus Pada PT. Bintang Mutiara Cemerlang Naufal Fathoni Putra; Adnan Buyung Nasution; Maulidya Putri Kinanti Ritonga
SITEKNIK: Sistem Informasi, Teknik dan Teknologi Terapan Vol. 3 No. 2 (2026): April
Publisher : RAM PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.19924543

Abstract

Perkembangan teknologi informasi saat ini memberikan dampak yang begitu besar bagi sebuah perusahaan untuk mencapai tujuannya. PT. Bintang Mutiara Cemerlang adalah perusahaan yang bergerak di bidang distribusi makanan dan minuman yang dipasok ke setiap kota di Indonesia. Melalui wawancara yang kami lakukan, diketahui beberapa hal yang menjadi sumber permasalahan saat ini yang perlu mendapat perhatian antara lain pengiriman yang lambat, kualitas produk yang tidak sesuai dengan kesepakatan/buruk, tidak memberikan solusi ketika terjadi masalah. terjadi, untuk memberikan harga yang tidak masuk akal. Karena sesuai dengan fungsi teknologi informasi yang memiliki peran penting, maka diperlukan evaluasi tata kelola untuk mengetahui kapabilitas yang dimiliki oleh suatu teknologi informasi. Pada penelitian ini framework yang digunakan adalah framework COBIT 5 dengan tahapan Assessment Process Activities. Domain yang digunakan dalam penelitian ini adalah EDM02 (Ensure Benefits Delivery), BAI06 (Manage Changes), DSS01 (Manage Operations). Agar PT. Bintang Mutiara Cemerlang disarankan untuk melengkapi kekurangan yang dibutuhkan dan mengoptimalkan kekuatan perusahaan agar tidak terjadi kesalahan yang fatal. Hal ini juga bertujuan untuk memaksimalkan dan meningkatkan tata kelola teknologi informasi di dalam perusahaan.
A Bibliometric Analysis of Research Trends in AI Integration within Cloud Computing Fitri Yani, Mega; Shania Putri, Istifa; Muhdiantini, Cindy; Munadhil, Farid
SITEKNIK: Sistem Informasi, Teknik dan Teknologi Terapan Vol. 3 No. 2 (2026): April
Publisher : RAM PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.19927559

Abstract

The integration of Artificial Intelligence (AI) and cloud computing has emerged as a rapidly expanding research area, driven by the need for scalable, elastic, and cost-efficient intelligent systems. Cloud infrastructures enable dynamic resource allocation and pay-as-you-go models, making them ideal environments for AI model training and deployment. Despite the growing volume of publications, a structured mapping of the intellectual landscape of AI–cloud integration remains necessary. This study aims to analyze the research landscape of AI integration in cloud computing using a bibliometric approach. Data were collected from the Scopus database for the period 2021-2026 using the query “Artificial Intelligence” AND “Cloud Computing”, focusing on English-language articles. The analysis was conducted using the Bibliometrix package in R to examine Annual Scientific Production, Countries Collaboration World Map, Most Relevant Affiliations, Co-occurrence Network, Thematic Map, Most Relevant Words, Trend Topics. The findings reveal a significant increase in publications after 2021, indicating accelerating academic interest in AI–cloud convergence. International collaboration is dominated by countries such as India, China, Saudi Arabia, the United States, and the United Kingdom. Thematic analysis shows that artificial intelligence and cloud computing function as foundational themes, with machine learning acting as a key driving force. Emerging topics such as edge computing and real-time systems suggest a shift toward intelligent, distributed, and data-intensive cloud environments.
From Technical Security to Human Awareness: A Bibliometric Review of Cybersecurity Education Research Muhdiantini, Cindy; Fitri Yani, Mega; Shania Putri, Istifa
SITEKNIK: Sistem Informasi, Teknik dan Teknologi Terapan Vol. 3 No. 2 (2026): April
Publisher : RAM PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.19897820

Abstract

The rapid advancement of information technology has increased cybersecurity threats, emphasizing the importance of education in building security awareness and human-centered defense capabilities. As research on cybersecurity education continues to grow, a systematic understanding of its research trends and thematic evolution is required. This study analyzes global research trends in cybersecurity education using a bibliometric approach. A total of 189 Scopus-indexed publications from 2020 to 2026 were analyzed using the bibliometrix R package and the Biblioshiny interface. The analysis examines annual publication growth, dominant keywords, evolving research topics, and geographical research contributions. The results indicate a steady increase in scientific production, confirming cybersecurity education as an expanding research domain. While technical topics such as network and data security remain prominent, recent research shows a clear shift toward education, training, and security awareness, highlighting the growing importance of human factors in cybersecurity. In addition, the findings reveal an imbalance in global research contributions and relatively limited international collaboration. This study provides a concise overview of the development and structure of cybersecurity education research and offers insights to support future studies, curriculum development, and policy formulation.
Information System Requirements Analysis for MSME Digitalization Using the SDLC Waterfall Approach Dhan, Alvan; Apriyani Pandiangan, Angelina; Nadita; Echa Kurnia, Ratih; Akmal Rizqullah, Rafi
SITEKNIK: Sistem Informasi, Teknik dan Teknologi Terapan Vol. 3 No. 2 (2026): April
Publisher : RAM PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.19926982

Abstract

Micro, Small, and Medium Enterprises (MSMEs) play a strategic role in the economy; however, they still face various challenges in adopting digital technology. This study aims to examine the requirements of an information system to support the digitalization of MSMEs using the Software Development Life Cycle (SDLC) Waterfall model. The research focuses on the analysis and design stages, which include identifying user requirements, analyzing business processes, and designing the system using Unified Modeling Language (UML). The results indicate that the proposed system should be capable of supporting integrated product management, transactions, ordering processes, and sales reporting, involving key actors such as buyers, sellers, and administrators. This study produces a system requirements model that can serve as a foundation for developing digital applications for MSMEs, thereby improving operational efficiency and enhancing business competitiveness.

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