cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Muhammad Amanulloh Mz
Contact Email
top.rampublisher@gmail.com
Phone
+628557068499
Journal Mail Official
top.rampublisher@gmail.com
Editorial Address
Jalan Beji No. 01. RT.003/RW.001 Ds. Sawiji Kec. Jogoroto Kab. Jombang, Jawa Timur, Indonesia. 61485
Location
Kab. jombang,
Jawa timur
INDONESIA
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 107 Documents
 4   5   6   7   8 
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 Mega Fitri Yani; Istifa Shania Putri; Cindy Muhdiantini; Farid Munadhil
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 Cindy Muhdiantini; Mega Fitri Yani; Istifa Shania Putri
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 Alvan Dhan; Angelina Apriyani Pandiangan; Nadita; Ratih Echa Kurnia; Rafi Akmal Rizqullah
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.
Fine-Tuning Panoptic FPN with ResNet-50 for Maritime Obstacle Detection on the LaRS Dataset Istifa Shania Putri; Sugih Ahmad Fauzan; Mega Fitri Yani; Cindy Muhdiantini
SITEKNIK: Sistem Informasi, Teknik dan Teknologi Terapan Vol. 3 No. 3 (2026): July
Publisher : RAM PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.20768168

Abstract

Maritime obstacle detection is a critical challenge for Unmanned Surface Vehicles (USVs) operating in complex and dynamic environments. This study investigates the effectiveness of fine-tuning Panoptic FPN, a Mask R-CNN-based architecture augmented with Feature Pyramid Networks, for panoptic segmentation on the LaRS (Lake, River, Seas) dataset. Unlike prior work that explored model comparisons broadly, this research focuses specifically on the impact of hyperparameter tuning and backbone selection on maritime panoptic segmentation performance. Through systematic ablation studies, we demonstrate that adjusting the learning rate to 0.002 and the gamma decay factor to 0.2 yields significant improvements. Our fine-tuned Panoptic FPN with a ResNet-50 backbone achieves a Panoptic Quality (PQ) of 45.31%, surpassing the previous state-of-the-art Mask2Former Swin-B (41.7%) by 3.61 percentage points. Notably, ResNet-50 outperforms the deeper ResNet-101 backbone (36.47% PQ), suggesting that heavier architectures may overfit on domain-specific maritime datasets. Furthermore, Panoptic FPN requires only 8 hours of training compared to approximately 2 days for Mask2Former Swin-L, demonstrating superior computational efficiency. These findings highlight that targeted fine-tuning of lightweight architectures can outperform larger transformer-based models in maritime panoptic segmentation tasks.
Information System Requirements Analysis for MSME Digitalization Using the SDLC Waterfall Approach Alvan Dhan; Angelina Apriyani Pandiangan; Nadita; Ratih Echa Kurnia; Rafi Akmal Rizqullah
SITEKNIK: Sistem Informasi, Teknik dan Teknologi Terapan Vol. 3 No. 3 (2026): July
Publisher : RAM PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.20665828

Abstract

Micro, Small, and Medium Enterprises (MSMEs), particularly mobile vendors in the food and service sectors, face operational challenges such as manual transaction recording, limited customer reach, and unstructured order management. This study aims to analyze and design an information system that supports MSME digitalization based on real user needs. The research adopts the Software Development Life Cycle (SDLC) using the Waterfall model, limited to the analysis and design stages. Data were collected through literature review and semi-structured interviews with mobile MSME vendors. The findings highlight key issues related to transaction management, product updates, and customer interaction in dynamic environments. Based on these findings, functional requirements were formulated, including features for product management, order processing, digital transactions, and sales reporting. The system design is modeled using Unified Modeling Language (UML), including use case, activity, and class diagrams. The proposed system design provides a structured and practical solution aligned with MSME operational needs, with the potential to improve efficiency, expand market reach, and support better business decision-making.
Analisis Komprehensif Teknologi Panel Surya: Prinsip, Komponen, dan Konfigurasi Sistem Pembangkit Listrik Tenaga Surya Hery Sudaryanto
SITEKNIK: Sistem Informasi, Teknik dan Teknologi Terapan Vol. 3 No. 3 (2026): July
Publisher : RAM PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.21322583

Abstract

Energi surya memainkan peran penting dalam transisi global menuju energi terbarukan, dengan teknologi fotovoltaik (PV) memimpin pasar. Artikel ini memberikan analisis komprehensif tentang teknologi panel surya, meliputi prinsip kerja fundamentalnya, komponen sistem penting, dan konfigurasi struktural di pembangkit listrik tenaga surya. Artikel ini mengevaluasi sel surya berbasis silikon tradisional bersama dengan teknologi generasi berikutnya yang sedang berkembang. Analisis kuantitatif menunjukkan bahwa panel silikon monokristalin konvensional mencapai efisiensi komersial tertinggi sebesar 15% hingga 22%, sementara teknologi polikristalin dan film tipis menawarkan efisiensi yang lebih rendah, masing-masing sebesar 13% hingga 18% dan 10% hingga 12%. Untuk mengatasi batasan efisiensi teoritis silikon, sel surya perovskit yang sedang berkembang telah menunjukkan efisiensi laboratorium melebihi 25%, dan struktur tandem/multi-junction mendorong batas kinerja melewati 30% dengan mengoptimalkan penyerapan spektral. Di luar fisika tingkat sel, studi ini meneliti komponen balance of system (BOS) yang penting, termasuk inverter, pengontrol pengisian daya, dan infrastruktur penyimpanan baterai (seperti timbal-asam dan litium-ion). Selain itu, studi ini merinci dinamika rekayasa dan operasional dari konfigurasi pembangkit listrik tenaga surya on-grid, off-grid, dan hibrida. Dengan mengintegrasikan rekayasa struktur, ilmu material, dan desain sistem, ulasan ini berfungsi sebagai referensi teknis strategis untuk mengoptimalkan penyebaran, efisiensi, dan keandalan instalasi pembangkit listrik tenaga surya modern.
Dashboard-Based Distribution Requirements Planning for Reverse Logistics Scheduling Optimization in Community Waste Collection Nia Novitasari; Gisti Ayu Pratiwi
SITEKNIK: Sistem Informasi, Teknik dan Teknologi Terapan Vol. 3 No. 3 (2026): July
Publisher : RAM PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.21533174

Abstract

This study aims to develop a dashboard-based waste collection scheduling system using the Distribution Requirements Planning (DRP) approach to improve the effectiveness of sorted gallon waste collection at Bank Sampah Bersinar (BSB), Bojongsoang. BSB manages six recycle points with a total weekly collection demand of 4,050 kg, while the available fleet consists of only one pick-up vehicle with a capacity of 1,000 kg. The absence of a structured collection schedule previously caused simultaneous collection activities and potential over-dimension and over-load problems. This study applies DRP to allocate collection activities based on demand volume, fleet capacity, operational time, and BSB’s three-day collection policy. The result shows that all weekly waste volume can be collected within three operational days by visiting two recycle points per day, with two trips conducted each day. In addition, a monitoring dashboard was developed to support daily trip tracking, collection volume monitoring, and recycle point performance evaluation. The proposed system provides a practical solution for improving reverse logistics operations, reducing fleet overload risk, and supporting data-based decision-making in community waste management.
Implementation of FSN Analysis and Periodic Review System for Inventory Management Improvement in Spare Parts Warehouse Leo Rama Kristiana; Gisti Ayu Pratiwi; Putu Giri Artha Kusuma; Grass Aditya Pringgodani; Irza Farhand; Theresia Jeremia Purba
SITEKNIK: Sistem Informasi, Teknik dan Teknologi Terapan Vol. 3 No. 3 (2026): July
Publisher : RAM PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.21533846

Abstract

Effective inventory management is essential for maintaining spare parts availability and ensuring high service levels in the automotive industry. PT IAMI, particularly the PSM Dept. and PC Dept. Bekasi, identified inventory management issues at its Medan Depot as a pilot project for inventory improvement. The depot initially achieved a fill rate of only 60%, below the company’s target of 70%, due to the absence of standardized spare parts classification, review period policies, replenishment planning, and an integrated monitoring system. To address these issues, a community service program was conducted by Telkom University through technical assistance in developing an inventory management framework. The program integrated Fast-Slow-Non Moving (FSN) Analysis, the Periodic Review System (R,s), and a dashboard-based inventory monitoring system using Microsoft Excel. The implementation stages included field observation, focus group discussion, operational data analysis, spare parts classification, inventory parameter calculation, dashboard development, and validation with the partner. The results showed that the proposed inventory policy improved the fill rate from 60% to 99%, exceeding the company target. In addition, the dashboard improved inventory visibility by displaying stock status, fill rate, safety stock, reorder warnings, and other operational indicators.

Page 6 of 11 | Total Record : 107

 4   5   6   7   8 

Filter by Year

2024 2026


Reset
Filter By Issues
All Issue Vol. 3 No. 3 (2026): July Vol. 3 No. 2 (2026): April Vol. 3 No. 1 (2026): January Vol. 2 No. 4 (2025): October Vol. 2 No. 3 (2025): July Vol. 2 No. 2 (2025): April Vol. 2 No. 1 (2025): January Vol. 1 No. 2 (2024): July Vol. 1 No. 1 (2024): January