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JUTEKOM - Jurnal Teknologi dan Ilmu Komputer
Published by CV. Nolsatu
ISSN : -     EISSN : 30898838     DOI : https://doi.org/10.65258/jutekom
Core Subject : Science,
Computer Science & IT
Jurnal Teknologi Informasi dan Ilmu Komputer (JUTEKOM) adalah jurnal ilmiah yang berfokus pada pengembangan dan penerapan teknologi informasi serta ilmu komputer dalam berbagai bidang dengan memiliki e-ISSN 3089-8838. Jurnal ini hadir sebagai wadah terpercaya bagi peneliti, akademisi, dan praktisi untuk berbagi temuan terbaru, inovasi, serta kajian kritis di bidang teknologi dan komputasi. JUTEKOM diterbitkan sebanyak 4 kali pertahun dengan edisi Januari, April, Juli, Oktober. Jurnal ini menyediakan akses terbuka (open access) kepada pembaca secara gratis, memungkinkan siapa saja untuk mengakses, membaca, dan mengunduh artikel yang diterbitkan. Dengan frekuensi yang konsisten ini, JUTEKOM terus berkomitmen untuk berkontribusi terhadap perkembangan literatur akademik dan aplikasi praktis yang relevan dengan kebutuhan masa kini. JUTEKOM menyediakan akses terbuka (open access) secara gratis kepada pembaca. Kebijakan ini memungkinkan siapa saja untuk mengakses, membaca, dan mengunduh artikel-artikel yang telah diterbitkan tanpa biaya. Melalui pendekatan ini, jurnal mendukung penyebaran ilmu pengetahuan secara inklusif, transparan, dan mudah diakses oleh komunitas global. Jurnal ini secara khusus ditujukan kepada Dosen, Guru,Mahasiswa dan Praktisi sebagai salah satu sarana pengembangan keilmuan, referensi dalam penelitian, serta sumber pembelajaran yang dapat memperluas wawasan di bidang teknologi informasi dan ilmu komputer. Dengan cakupan yang luas, JUTEKOM diharapkan mampu memenuhi kebutuhan komunitas akademik dan pendidikan dalam mengeksplorasi inovasi dan aplikasi teknologi terkini.Dengan reputasinya yang terus berkembang, JUTEKOM menjadi salah satu jurnal yang diharapkan dapat menjadi referensi utama dan sumber inspirasi bagi penelitian dan pengajaran berbasis teknologi.
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 41 Documents
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Transformasi Sistem Informasi Menjadi Sistem Cerdas Untuk Meningkatkan Pengambilan Keputusan Dan Efisiensi Ikke Yamalia; Eka Martyani
Jurnal Teknologi informasi dan Ilmu Komputer Vol. 2 No. 1 (2026): Januari 2026
Publisher : Nolsatu Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65258/jutekom.v2.i1.53

Abstract

The industrial world and information systems are undergoing a major shift in management practices. Growing and diverse user demands have driven information systems to evolve from passive data management into intelligent systems that assist organizational management in decision-making processes. This research aims to analyze the evolution of information systems, from conventional models to the implementation of Artificial Intelligence (AI) based systems within organizations. The findings indicate that the transformation of information systems is not merely a software update, but a paradigm shift: from passive systems reliant on manual input (Conventional Phase), to systems capable of integrated workflows (Automated Phase), and finally to systems that can learn and provide independent recommendations (Intelligent System Phase). The primary finding of this study is that the transition to intelligent systems significantly enhances operational efficiency. However, this must be balanced with high data quality as a reliable information source and supported by the readiness of human resources. In conclusion, information systems in the digital era have transformed from simple administrative tools into essential strategic partners that help organizations navigate data complexity and improve decision-making.
Dampak Tantangan dan Potensi Vibe Coding Berbasis AI dalam Lanskap Pendidikan Pemrograman: Tinjauan Literatur Sistematis Akhmad Rezki Purnajaya
Jurnal Teknologi informasi dan Ilmu Komputer Vol. 2 No. 2 (2026): April 2026
Publisher : Nolsatu Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65258/jutekom.v2.i2.52

Abstract

Vibe coding transforms natural language commands into functional code through Artificial Intelligence (AI). This Systematic Literature Review (SLR) evaluates the impacts, challenges, and potential of this approach within education. Adhering to the PRISMA protocol, 17 studies were selected based on inclusion criteria. The distribution encompasses higher education (n=9) and K-12 (n=8), focusing on tools like GitHub Copilot and ChatGPT. Synthesis results from controlled experimental studies among higher education students indicate a significant increase in task completion efficiency of up to 35%. However, a distinction is observed where increased technical productivity does not equate to improved learning achievement; instead, risks concerning diminished conceptual understanding and academic integrity challenges remain. This review is limited by the geographic dominance of studies from North America and Europe and the high heterogeneity of study designs, which necessitated a narrative synthesis. This study recommends a pedagogical shift towards critical human-AI collaboration.
Evaluasi Usability Aplikasi MyASN Menggunakan Metode System Usability Scale (SUS) Aqfi Nur Firdaus; Nia Rahma Faudila Harun; Zulfaidil
Jurnal Teknologi informasi dan Ilmu Komputer Vol. 2 No. 2 (2026): April 2026
Publisher : Nolsatu Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65258/jutekom.v2.i2.55

Abstract

The rapid digital transformation in the public sector necessitates the development of service applications that are not only functionally robust but also highly usable. MyASN, as a digital personnel service platform for Indonesian civil servants (Aparatur Sipil Negara/ASN), is designed to facilitate access to employment-related information and administrative services. However, its implementation has revealed several usability issues, including login difficulties, slow system responsiveness, and feature instability, which negatively affect the overall user experience. This study aims to evaluate the usability level of the MyASN application using the System Usability Scale (SUS) method. Data were collected through the distribution of SUS questionnaires to application users. The results indicate an average SUS score of 54.08, which falls below the standard benchmark, placing the application in the Not Acceptable – Marginal category, with an adjective rating of Poor–OK and a grade of D. Furthermore, the Net Promoter Score (NPS) falls into the Detractor category, indicating low user satisfaction and a limited likelihood of recommendation. These findings suggest that the MyASN application exhibits significant shortcomings in terms of interface design, navigation, feature consistency, and system performance. Therefore, improvements are required, particularly in simplifying the user interface, enhancing system stability, and optimizing overall performance to improve user experience and the quality of digital personnel services.
Evaluating Resampling Methods for Imbalanced Necrosis Classification on CT Scans Akhmad Rezki Purnajaya; Masparudin
Jurnal Teknologi informasi dan Ilmu Komputer Vol. 2 No. 2 (2026): April 2026
Publisher : Nolsatu Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65258/jutekom.v2.i2.56

Abstract

Necrosis, or body tissue death, occurs when there is insufficient blood flow to the tissue, which can be caused by injury, radiation, or chemicals. One of the main challenges in the automated diagnosis of necrosis is data imbalance in medical datasets, where the number of pathological cases is far less than normal cases. To address this issue, this study implements and evaluates various data sampling techniques, including Random Undersampling (RUS), Random Oversampling (ROS), Combination of Over-Undersampling (COUS), Synthetic Minority Over-sampling Technique (SMOTE), and Tomek Link, then using a Support Vector Machine (SVM) as the classifier. The test results show that the best sampling technique is the Synthetic Minority Over-sampling Technique (SMOTE), which successfully achieved an accuracy of 100% and an Area Under Curve (AUC) of 100%, indicating its significant potential in improving the accuracy of necrosis diagnosis from CT scans.
Evaluasi dan Perbandingan Model CNN Dan Transfer Learning Dalam Klasifikasi Kematangan Buah Kelapa Sawit Naufal Budiman; Ringga Chandra Perdana
Jurnal Teknologi informasi dan Ilmu Komputer Vol. 2 No. 2 (2026): April 2026
Publisher : Nolsatu Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65258/jutekom.v2.i2.59

Abstract

The identification of oil palm fruit ripeness is an important factor in maintaining harvest quality and improving palm oil productivity. Manual identification processes still have limitations, including subjectivity and inconsistency in assessment results. This study aims to evaluate and compare the performance of a Baseline Convolutional Neural Network (CNN) model with several transfer learning architectures, namely EfficientNetB3, ResNet50, and DenseNet121, for oil palm fruit ripeness classification. The dataset consisted of 302 original images of oil palm fruits categorized into three classes: ripe, unripe, and rotten. To prevent data leakage, the dataset was first divided using a stratified split into training, validation, and testing sets before data augmentation was applied exclusively to the training set. The augmentation techniques included rotation, translation, zooming, brightness adjustment, and horizontal flipping to increase data variability and reduce overfitting. All models were trained using an input size of 224 × 224 pixels, the Adam optimizer, and categorical cross-entropy as the loss function. Model performance was evaluated using accuracy, precision, recall, and F1-score metrics to assess the classification capability of each model. In addition, confusion matrix analysis was conducted to identify classification error patterns across the ripeness categories. The results indicate that transfer learning models outperformed the Baseline CNN model. DenseNet121 achieved the best overall performance, followed by EfficientNetB3 and ResNet50. These findings demonstrate that transfer learning is an effective approach for oil palm fruit ripeness classification, particularly when working with limited datasets. Nevertheless, further studies using larger and more diverse datasets are recommended to improve model generalization capabilities.
Analisis Perbandingan File Carving Recuva, PhotoRec, dan FTK Imager pada Flashdisk Mumtaz Imanullah; Eryal Rivano Zistafa; Yustian Servanda
Jurnal Teknologi informasi dan Ilmu Komputer Vol. 2 No. 2 (2026): April 2026
Publisher : Nolsatu Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65258/jutekom.v2.i2.61

Abstract

Recovering deleted data from flash drives has become a crucial requirement in digital forensics and personal data recovery. This study compares file carving and metadata-based file recovery techniques across three applications: Recuva, PhotoRec, and FTK Imager. Fifty files of various types permanently deleted from an 8GB FAT32-formatted flash drive were tested sequentially across the three applications. Evaluation parameters included the number of recovered files, integrity through hash verification, percentage of openable files, ability to preserve original names, and scanning speed. Recuva's deep scan feature excelled in recovering metadata, including file names and folder hierarchies. PhotoRec achieved the highest recovery volume thanks to its aggressive header and footer detection, but was unable to preserve file names or directory structures. FTK Imager achieved the highest file integrity with the most stable recovery, despite requiring a longer scan time. This study confirms that no application excels in all aspects, so tool selection should be tailored to user priorities.
Perancangan Sistem Keamanan Jaringan Berbasis Extended ACL untuk Filtering Multi-Layanan GNS3 Ade Nurdiana; Amita Jamal; Yustian Servanda
Jurnal Teknologi informasi dan Ilmu Komputer Vol. 2 No. 3 (2026): Juli 2026
Publisher : Nolsatu Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65258/jutekom.v2.i3.63

Abstract

The development of information systems (IS) in organizations demands a secure network infrastructure. However, critical service ports on internal servers, such as FTP, SSH, and HTTP, are often vulnerable to internal threats like active port scanning and unauthorized access. This study was conducted to design and test the effectiveness of the Extended Access Control List (ACL) number 110 method in establishing a layer-3 packet filtration system. The experiment was simulated using GNS3 software integrated with an authentic Cisco IOS image. The results demonstrate that the implementation of the Extended ACL method successfully segregated network access rights in a granular and adaptive manner. The filtration policy was consistently able to identify source parameters and destination ports at the transport layer. The system effectively maintained full access availability for the administrator's device for management purposes, while completely blocking all unauthorized traffic from general users attempting to exploit the ICMP protocol and critical service ports on the server. Internal validation through matches counter statistical data on the router confirmed that each data packet was inspected accurately based on the First-Match principle. Consequently, the final outcomes of this study prove that Extended ACL is highly effective as a proactive protection solution to isolate core servers from internal lateral threats without disrupting the overall stability of the organization's network interconnection
Implementasi Flashcard 3d Berbasis Augmented Reality Sebagai Media Pendukung Pembelajaran Klasifikasi Hewan Pada Anak Usia Dini Maulana Sihdi Habibie; Nisa Atthalia; Fahri Fahri; Ahmad Thoriq Alqi Ighafur; Aqib Ainun Najib; Muhammad Zainudin Al Amin; Achmad Solichan; Basirudin Ansor; Nova Christina Sari; Aditya Putra Ramdani
Jurnal Teknologi informasi dan Ilmu Komputer Vol. 2 No. 3 (2026): Juli 2026
Publisher : Nolsatu Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65258/jutekom.v2.i3.70

Abstract

An Augmented Reality (AR)-based learning application was developed as an interactive visual medium to introduce animal classification to early childhood learners. The application uses flashcards scanned with a device camera to display three-dimensional (3D) objects in real time. This study aims to design and build an AR-based mobile application using Unity and Vuforia as an engaging self-learning tool. Development followed the Multimedia Development Life Cycle (MDLC), comprising concept, design, material collection, assembly, testing, and distribution. Functional black-box testing across 12 scenarios showed a 100% success rate, with all features operating as designed, including menu navigation, marker scanning, and 3D object visualization. Preliminary observations indicated that the visualization increased children's interest and involvement during learning, although this effect has not yet been measured with a validated evaluation instrument. Therefore, the application is considered a practical interactive medium for introducing animal classification based on feeding type - carnivores, herbivores, and omnivores - to young children.
Analisis Perbandingan Keamanan Data VeraCrypt dan BitLocker pada Perlindungan Data Pengguna Erdi Rahmatullah Erdi Rahmatullah; Adhe Prastyo Ramadhan Adhe Prastyo Ramadhan; Yustian Servanda Yustian Servanda
Jurnal Teknologi informasi dan Ilmu Komputer Vol. 2 No. 3 (2026): Juli 2026
Publisher : Nolsatu Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65258/jutekom.v2.i3.65

Abstract

Data security has become an increasingly important issue due to the rapid growth of digital information and cyber threats targeting personal and organizational data. Disk encryption technology is widely implemented to protect confidential information from unauthorized access. VeraCrypt and BitLocker are among the most widely used encryption solutions, each offering different security mechanisms, authentication methods, and implementation approaches. This study aims to compare the security characteristics and performance of VeraCrypt and BitLocker in protecting user data. The research employed a quantitative comparative experimental approach using simulated testing scenarios conducted on a Windows 10 Pro environment equipped with an Intel Core i5 5th Generation processor, 4 GB RAM, BitLocker version 10.0.18362, and VeraCrypt version 1.26.24. Performance evaluation was conducted based on encryption time, decryption time, CPU utilization, memory utilization, and security feature analysis. The experimental data were processed using descriptive statistical analysis through mean and standard deviation calculations, followed by a weighted security assessment model. The results indicate that BitLocker demonstrates superior operational efficiency due to its integration with the Windows operating system and Trusted Platform Module support, while VeraCrypt provides more comprehensive security features through hidden volume capability, flexible encryption algorithm selection, and enhanced resistance against forensic analysis. The findings suggest that BitLocker is more appropriate for users requiring practicality and system integration, whereas VeraCrypt offers stronger protection for users prioritizing maximum confidentiality.
Aplikasi Web Scanner Berbasis Citra untuk Deteksi Nutrisi dan Keamanan Pangan Laurentius Chandika Laiglety; Raky rajulio; Nasruddin bin Idris; Riski Zulkarnain
Jurnal Teknologi informasi dan Ilmu Komputer Vol. 2 No. 3 (2026): Juli 2026
Publisher : Nolsatu Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65258/jutekom.v2.i3.67

Abstract

The Free Nutritious Meal Program (Program Makan Bergizi/MBG) is one of the government's strategic efforts to support the nutritional intake of school-age children, making the consistency of food quality and safety oversight critical to its success. However, current monitoring still relies heavily on manual inspection, which is limited by time constraints and the risk of human error. This study aims to develop a prototype image-based web scanner application utilizing the MobileNet model to assist in the rapid detection of nutritional content and indications of food safety. The study employed a design science research approach, with data collected through literature review and a field survey of MBG recipient students using Google Forms. Survey results show that students have direct experience with the MBG program and generally rate the food received as fairly good in terms of taste and cleanliness, although food safety remains a concern. Respondents also expressed strong interest in an image-based scanner application as a food-checking tool. These findings suggest that the image-based web scanner application has the potential to serve as an initial screening tool supporting nutrition and food safety oversight in the implementation of the MBG program in schools.

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