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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 29 Documents
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Implementasi Queue pada Sistem Layanan Desa Online “KlikDesa” Pakpahan, Maissy Angelica; Asra, Naufal Aqiilah; Ginting, Paskal Arienda Epindonta; Arafat, M. Fahmi
Jurnal Teknologi informasi dan Ilmu Komputer Vol. 1 No. 4 (2025): Oktober 2025
Publisher : Nolsatu Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65258/jutekom.v1.i4.28

Abstract

This article discusses the implementation of the queue concept in an online village service system called KlikDesa. The development of this system began with the challenges faced by residents who often had difficulty processing various official documents at the village office due to time constraints. Through KlikDesa, residents can access village administration services online, making the service process more efficient and convenient. The development methods used included needs analysis, system design, and the implementation of a circular queue concept to automatically manage the sequence of service requests. The data used were derived from literature studies and general analysis of village service systems. The implementation results show that the application of the queue concept in KlikDesa helps organize the service flow in a structured manner, reduces waiting times, and increases the efficiency of service requests. Thus, KlikDesa can be a digital solution that supports the transformation of public services at the village level towards a more modern and responsive system.
Application of Support Vector Machine for Multi-Class Migraine Classification Purnajaya, Akhmad Rezki; Jaya, Mega
Jurnal Teknologi informasi dan Ilmu Komputer Vol. 1 No. 4 (2025): Oktober 2025
Publisher : Nolsatu Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65258/jutekom.v1.i4.29

Abstract

Migraine is a prevalent, debilitating neurological disorder where accurate subtype classification is critical. Machine learning (ML) offers a promising avenue to enhance diagnostic accuracy. This study evaluates a Support Vector Machine (SVM) model for multi-class migraine classification. Utilizing a public Kaggle dataset, data was partitioned into 75% training and 25% testing sets. An SVM with a linear kernel was implemented to classify seven migraine subtypes. Performance was evaluated using overall accuracy, a confusion matrix, and detailed per-class metrics: Precision, Recall, and F1-Score. The model achieved 82.65% overall accuracy and a weighted-average F1-Score of 0.824. However, detailed metrics revealed significant variance. The model achieved perfect F1-Scores (1.000) for 'Migraine Without Aura' and 'Typical Aura without Migraine' but struggled with class confusion. 'Typical Aura With Migraine' exhibited a low Recall (0.533), and 'Basilar-Type Aura' had a poor F1-Score (0.400). Critically, the model completely failed to classify 'Sporadic Hemiplegic Migraine' (0.000 F1-Score), a failure masked by the high overall accuracy. These results suggest the linear SVM is a viable baseline, but its reliability varies drastically across subtypes. The granular F1-Score and Recall metrics are essential, exposing classification failures hidden by overall accuracy. Future work must address class imbalance and symptomatic overlap, likely via non-linear models, before this approach is clinically viable.
ANALISIS DESAIN UI/UX WEBSITE SAMSAT KALIMANTAN TIMUR DENGAN METODE DESIGN THINKING Janatu, Asfi; Nandyu, Warhana; Servanda, Yustian; Sudinugraha, Tri
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.i1.36

Abstract

The East Kalimantan SAMSAT (Sistem Administrasi Manunggal Satu Atap) website serves as a crucial digital public service for motor vehicle tax payments and related services. However, suboptimal user experience (UX) and user interface (UI) often hinder accessibility and public satisfaction. This study primarily aims to analyze and identify UI/UX design constraints on the East Kalimantan SAMSAT platform, and to provide recommendations for improvements based on user perspectives. The applied method is Design Thinking, which includes five stages: Empathize, Define, Ideate, Prototype, and Test. The initial stage focused on data collection through observation, in-depth user interviews, and heuristic evaluation to uncover user needs and pain points. The analysis findings revealed issues such as complex navigation, inconsistencies in visual design, and lack of explicit information, all of which significantly increased user cognitive load. Based on these results, the study proposes specific design recommendations in the form of wireframe and mockup improvements. These recommendations focus on simplifying the user flow, increasing the consistency of UI elements, and developing a more intuitive search feature. This design proposal is expected to boost the effectiveness, efficiency, and user satisfaction of online SAMSAT services. These design recommendations were then validated during the testing phase through usability testing. Test results showed significant improvements in key metrics: the average task success rate increased to 90% and the task completion time decreased by 40%. These findings demonstrate that the systematic application of human-centered design is effective in bridging the gap between user needs and the quality of digital public services at the East Kalimantan SAMSAT.
Implementasi Sistem Informasi DANA untuk Efisiensi Transaksi Digital Laiglety, Laurentius Chandika; Rajulio, Raky; Servanda, Yustian; Idris, Nasruddin bin
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.i1.38

Abstract

The rapid growth of digital transactions in Indonesia has increased the demand for efficient, secure, and stable information systems. DANA, as one of the largest digital wallets, plays a crucial role in providing fast payment services. This study aims to analyze the implementation of information systems in the DANA application, focusing on system architecture and data processing that support transaction efficiency. A descriptive-qualitative case study method was employed through literature review, technical documentation analysis, and application feature observation. Results show that DANA's microservices architecture, real-time data processing, and distributed cloud infrastructure significantly accelerate transactions (average 5 seconds) and achieve 99% uptime. In conclusion, structured and adaptive information system implementation greatly contributes to the speed, security, and operational efficiency of DANA as a digital transaction platform.  
Perbandingan Usability Tiket.com dan Travelokadengan Metode SUS Amara, Aji Kintan; Ilmi, Syahiid; Servanda, Yustian; Insan, Pramudya Prima
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.i1.39

Abstract

This study aims to analyze and compare the level of usability between two prominent digital travel booking platforms in Indonesia, namely Tiket.com and Traveloka. The background of this research lies in the criticality of superior user experience in determining competitive advantage within the fierce digital service landscape. The main objective is to quantitatively measure and analyze the difference in usability scores between the two platforms. The methodology utilizes a quantitative approach by implementing the standard System Usability Scale (SUS) questionnaire. The questionnaire consists of 10 alternating positive and negative items, presented using a 5-point Likert scale. These items are repeated for each application to obtain individual usability scores. The survey will be distributed to 30 respondents active users. The results are expected to specifically identify the relative strengths and weaknesses of both applications, providing strategic input for system developers to enhance user interface quality and achieve optimal customer satisfaction.
Evaluasi Usability SIAM Universitas Mulia dengan Metode SUS Caroline, Frisca Bernadeta; Atikah, Aisyah Nur Nailah; Servanda, Yustian; Gandarrityaz, Rizky
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.i1.40

Abstract

The Student Academic Information System (SIAM) is an information system for managing academic data at Mulia University Balikpapan (UM). Although this system has helped students access academic services, there are still issues related to ease of use between systems. Therefore, this study was conducted to assess the usability level of the SIAM interface using the System Usability Scale (SUS) method. This study used a quantitative approach with a SUS questionnaire distributed to active students of Mulia Balikpapan University who had experience using SIAM. The data obtained was analyzed to determine the usability category of the system and identify the obstacles perceived by users. Based on data calculations, an average score of 60.69 was obtained, reflecting the system's position in the Marginal High category. Technically, this score refers to a D grade scale with an OK adjective rating. Although the system is functionally capable of accommodating user needs, the data indicates that optimization of design elements is still necessary. These findings confirm that SIAM Universitas Mulia has reached a threshold of acceptable acceptance, but still requires some adjustments to achieve optimal usability performance. The results of this study are expected to provide useful input for the development and refinement of the SIAM interface so that it can improve user comfort, efficiency, and satisfaction in supporting academic activities.
Analisis Perbandingan Ahp–Topsis Dan Moora Untuk Penilaian Kinerja Karyawan Sugiono, Tengku Eky Fatdhillah; Mardiani, Dina Agus; Yustian Servanda
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.i1.42

Abstract

Employee performance evaluation is a crucial aspect in supporting objective and measurable managerial decision-making. However, in practice, performance assessment is often still subjective and not fully supported by systematic analytical methods. This study aims to analyze and compare the combined Analytical Hierarchy Process and Technique for Order Preference by Similarity to Ideal Solution (AHP–TOPSIS) method with the Multi-Objective Optimization on the Basis of Ratio Analysis (MOORA) method in a Decision Support System for employee performance evaluation at PT Classics Prima Sejahtera. This research applies a quantitative approach using a case study method, where data are collected through observation, interviews, and performance assessment questionnaires. AHP is employed to determine the weights of evaluation criteria based on their level of importance, while TOPSIS and MOORA are used to rank employee performance. The results indicate that both methods are capable of producing objective employee rankings; however, differences in ranking order occur due to the distinct computational characteristics of each method. The AHP–TOPSIS method demonstrates advantages in terms of accuracy in criteria weighting, whereas MOORA offers a simpler and more efficient calculation process. This study concludes that both methods can be effectively applied as decision support tools, with the selection of methods depending on the needs and complexity of decision-making within the organization.
Facial Emotion Recognition Based on Convolutional Neural Network Using FER2013 Dataset Syabil, Muhammad Al Faris; Harahap, Lailan Sofinah; Nasution, Muhammad Rafiq
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.i1.44

Abstract

Facial emotion recognition is an important research area in computer vision and artificial intelligence, with applications in human–computer interaction, affective computing, and intelligent systems. This study aims to evaluate the performance of a Convolutional Neural Network (CNN) for facial emotion recognition using the FER2013 dataset. The FER2013 dataset consists of grayscale facial images with a resolution of 48×48 pixels and includes seven emotion classes: angry, disgust, fear, happy, neutral, sad, and surprise. Due to its low image resolution and imbalanced class distribution, FER2013 presents significant challenges for emotion classification tasks. An experimental research approach was employed by implementing a baseline CNN architecture composed of convolutional, pooling, and fully connected layers. Image normalization and batch-based data generation were applied during preprocessing. The model was trained using the Adam optimizer with categorical cross-entropy loss, and an early stopping mechanism was utilized to prevent overfitting. Model performance was evaluated using accuracy, precision, recall, F1-score, and confusion matrix analysis. The experimental results show that the proposed CNN model achieved an overall test accuracy of 55.50%. Emotions with distinctive facial features, such as happy and surprise, obtained higher F1-scores, while minority and visually subtle classes, particularly disgust and fear, exhibited lower performance. These findings indicate that a simple CNN architecture can provide reasonable performance on challenging facial emotion datasets while highlighting the impact of class imbalance and limited image resolution. The proposed model can serve as a baseline for further improvements in facial emotion recognition systems.
Peran Digitalisasi Pemasaran dalam Meningkatkan Daya Saing UMKM Priyadi, Farid Irgie; Erwin, Muhamad
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.i1.45

Abstract

Technological advancements have encouraged Micro, Small, and Medium Enterprises (MSMEs) to adopt digital marketing strategies to enhance competitiveness. This study aims to analyze the role of marketing digitalization, particularly visual-based digital campaigns and influencer promotion, in improving the competitiveness of local MSMEs. The research employed a quantitative descriptive approach using an online questionnaire distributed to consumers who interacted with MSME digital promotions. The collected data were analyzed descriptively. The results indicate that digital campaigns significantly influence consumer purchase decisions, with 90% of respondents rating digital campaigns as effective to very effective. Furthermore, 100% of respondents stated that digital marketing had a positive impact on MSME development. These findings confirm that marketing digitalization plays a strategic role in strengthening MSME competitiveness in the digital era.

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