cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Syahroni Hidayat
Contact Email
jtim.sekawan@gmail.com
Phone
-
Journal Mail Official
jtim.sekawan@gmail.com
Editorial Address
Jl. Bandeng No.25, Bintaro, Kec. Ampenan, Kota Mataram, Nusa Tenggara Bar. 83511
Location
Kota mataram,
Nusa tenggara barat
INDONESIA
Jurnal Teknologi Informasi dan Multimedia
Published by Puslitbang Sekawan Institute Nusa Tenggara
ISSN : 27152529     EISSN : 26849151     DOI : https://doi.org/10.35746/jtim.v2i1
Core Subject : Science,
Computer Science & IT
Cakupan dan ruang lingkup JTIM terdiri dari Databases System, Data Mining/Web Mining, Datawarehouse, Artificial Integelence, Business Integelence, Cloud & Grid Computing, Decision Support System, Human Computer & Interaction, Mobile Computing & Application, E-System, Machine Learning, Deep Learning, Information Retrievel (IR), Computer Network & Security, Multimedia System, Sistem Informasi, Sistem Informasi Geografis (GIS), Sistem Informasi Akuntansi, Database Security, Network Security, Fuzzy Logic, Expert System, Image Processing, Computer Graphic, Computer Vision, Semantic Web, Animation dan lainnya yang serumpun dengan Teknologi Informasi dan Multimedia.
Arjuna Subject : -
Articles 355 Documents
 32   33   34   35   36 
Analisis Keamanan Website Sekolah MAN 1 Banyumas Menggunakan Penetration Testing Execution Standard (PTES) Dewi Mardiana; Sigit Sugiyanto; Harjono Harjono; Ermadi Satria Wijaya
Jurnal Teknologi Informasi dan Multimedia Vol. 8 No. 3 (2026): August
Publisher : Sekawan Institut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35746/jtim.v8i3.1102

Abstract

Digital transformation is driving educational institutions to adopt web portals, yet cybersecurity evaluation is still often neglected. This study aims to identify and validate security vulnerabilities on the official website of MAN 1 Banyumas using the Penetration Testing Execution Standard (PTES) framework. Testing was conducted using a black-box penetration testing approach by combining Open Worldwide Application Security Project (OWASP ZAP) scanning and manual verification to reduce false positives. The results showed the discovery of 4 true positive vulnera-bilities, 1 false positive, and medium-risk FTP and SSH ports. Validated vulnerabilities include Cross-Site Request Forgery (CSRF), Clickjacking, session management weaknesses, and Vulnerable JS Library, while Cross-Site Scripting (XSS) vulnerabilities were confirmed as false positives. Simulation of vulnerability chaining showed that the combination of these vulnerabilities has the potential to lead to account takeover. Therefore, server hardening and JavaScript library updates are recommended to improve system security.
Sistem Informasi Pelayanan Klinik Terintegrasi WhatsApp Gateway dengan Evaluasi Kualitas Layanan Menggunakan SERVQUAL M. Prahmana Tirta; Fathiya Hasyifah Sibarani
Jurnal Teknologi Informasi dan Multimedia Vol. 8 No. 3 (2026): August
Publisher : Sekawan Institut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35746/jtim.v8i3.1148

Abstract

Clinic services at Bidan Arisanti Clinic still face challenges, including manual patient registration and data recording, inefficient information delivery, unintegrated queue management, and the absence of structured service quality evaluation. This study develops a web-based Clinic Service Information System integrating a WhatsApp Gateway and SERVQUAL. The system was developed using the Waterfall model, with data collected through observation, interviews, documentation, and a SERVQUAL questionnaire involving 30 patients. Black Box Testing was used to evaluate system functionality, while service quality was assessed based on the gap between patient expectations and perceptions. The results show that all system functions operated according to the specified functional requirements. SERVQUAL results produced an average expectation score of 4.69, perception score of 4.49, and gap value of -0.20, indicating that service quality has not fully met patient expectations. Responsiveness had the largest gap (-0.33), making it the main priority for improvement, particularly in service speed and staff responsiveness. The study provides an integrated system for service management, automated WhatsApp notifications, and SERVQUAL-based quality evaluation to support continuous service quality improvement.
Rancang Bangun Sistem Informasi Kepuasan Pasien Berbasis Web Menggunakan Metode K-Means Clustering di Rumah Sakit Nahdlatul Ulama Jombang Cika Farenda; Ahmad Heru Mujianto
Jurnal Teknologi Informasi dan Multimedia Vol. 8 No. 4 (2026): November
Publisher : Sekawan Institut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35746/jtim.v8i4.1034

Abstract

Patient satisfaction is one of the main indicators used to evaluate hospital service quality. Nahdlatul Ulama Hospital Jombang has not yet implemented an internal patient satisfaction measurement system, making service evaluation dependent on public reviews. This study aims to develop a web-based patient satisfaction measurement system using the K-Means Clustering method. The system was developed using the Waterfall model, while data were collected through observations, interviews, and questionnaires involving 30 patients. Five assessment indicators were used, namely service quality, facilities, cleanliness, food quality, and staff attitude. The clustering results showed that 21 respondents (70.00%) were classified as very satisfied, 8 respondents (26.67%) as satisfied, 1 respondent (3.33%) as moderately satisfied, while no respondents were classified as dissatisfied or very dissatisfied. These findings indicate that most patients were very satisfied with the services provided by Nahdlatul Ulama Hospital Jombang. Therefore, the developed system provides patient satisfaction clustering results that can support hospital management in evaluating and improving service quality.
Klasifikasi Sentimen Ulasan Pengguna Aplikasi Alfagift Menggunakan Metode Support Vector Machine Berbasis TF-IDF Nazwa Asyifa; Susanto Susanto
Jurnal Teknologi Informasi dan Multimedia Vol. 8 No. 4 (2026): November
Publisher : Sekawan Institut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35746/jtim.v8i4.1038

Abstract

The rapid development of digital technology has driven the increasing use of mobile applications in the retail sector, one of which is the Alfagift application developed by PT Sumber Alfaria Trijaya Tbk. User reviews on Google Play Store contain valuable information regarding user satisfaction and complaints, yet their large volume makes manual analysis inefficient, necessitating an automated approach. This study aims to classify the sentiment of Alfagift user reviews into three classes: Positive, Negative, and Neutral, using the Support Vector Machine (SVM) method with Term Frequency-Inverse Document Frequency (TF-IDF) feature representation. A total of 4,937 reviews were collected through web scraping and processed through preprocessing stages including case folding, slang normalization, tokenization, stopword removal, and stemming. Feature extraction used TF-IDF with unigram-bigram configuration and a maximum of 10,000 features, with an 80:20 data split ratio. The model was evaluated using a confusion matrix and 10-fold Stratified Cross Validation. The results show a test accuracy of 87.15% and a cross-validation average of 87.28% (standard deviation 1.0368%). The Positive and Negative classes were classified well (F1-score 0.9172 and 0.8676), while the Neutral class was poorly classified due to extreme class imbalance, representing only 4.7% of the entire dataset.
Sistem Gaze Tracking Berbasis YOLOv8 dan Random Forest Melalui Ekstraksi Fitur Geometris Landmark Mata Dadya Vio Hendraksa; Denny Budiansyach; Aditya Dwi Putro Wicaksono
Jurnal Teknologi Informasi dan Multimedia Vol. 8 No. 4 (2026): November
Publisher : Sekawan Institut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35746/jtim.v8i4.1075

Abstract

Eye gaze tracking serves as a pivotal instrument in realizing adaptive Human-Centric AI interactions within the Industry 5.0 era. However, current appearance-based gaze estimation methods primarily rely on large-scale end-to-end deep learning regression architectures characterized by high network complexity and computational overhead. This research proposes a hybrid framework integrating the YOLOv8-Pose computer vision model with the Random Forest Classifier machine learning algorithm for the spatial classification of gaze directions. Raw image pixel matrices are efficiently reduced by localizing 55 ocular keypoints, which are subsequently extracted into 113 tabular geometric feature attributes, encompassing Eye Aspect Ratio (EAR) parameters and the relative spatial shifts of the iris. The ensemble model was trained utilizing a synthetic dataset generated via the UnityEyes simulator. Experimental results demonstrate that the proposed hybrid system achieved a global accuracy of 82.75%. The highest feature space discrimination capabilities were recorded in the TopRight (F1-score 0.91) and MiddleRight (F1-score 0.85) spatial classes. This structured feature engineering approach is empirically proven to effectively mitigate anisotropic classification errors without necessitating high-end computational resources. For further development, future research is directed towards exploring aggressive hyperparameter tuning, meta-heuristic feature selection using Particle Swarm Optimization (PSO), and evaluating the model's robustness limit using real-world datasets in unconstrained open domains.
Optimasi Sistem Deteksi Plat Nomor Kendaraan Menggunakan Kombinasi OpenCV dan OCR Berbasis Deep Learning M. Dermawan Mulyodiputro; Valian Yoga Pudya Ardhana
Jurnal Teknologi Informasi dan Multimedia Vol. 8 No. 4 (2026): November
Publisher : Sekawan Institut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35746/jtim.v8i4.1104

Abstract

The rising number of motor vehicles has created a need for rapid and accurate vehicle identification systems. License Plate Recognition (LPR) systems are widely used in traffic monitoring, parking management, access control, and security. However, their performance is influenced by factors such as lighting, capture angles, image quality, and the condition of the license plates. This study employs a combination of OpenCV and deep learning-based Optical Character Recognition (OCR) to detect and recognize license plate characters. OpenCV is utilized for image preprocessing and license plate localization, while OCR is used for character recognition. Testing was conducted on 100 vehicle images featuring variations in lighting, positioning, and license plate quality. The results demonstrate that optimization through image preprocessing, data augmentation, and model fine-tuning increased accuracy from 78.6% to 85.2%. Processing time also decreased from 0.46 to 0.35 seconds per image, thereby supporting real-time applications. The integration of OpenCV and deep learning-based OCR proved effective in enhancing the accuracy and efficiency of automated vehicle identification systems, supporting intelligent transportation and computer vision-based security.
Rancang Bangun Gim Simulasi Edukatif ‘’Fuel Run: 1L Challenge!’’ Untuk Pengenalan Sistem Efisiensi Bahan Bakar Fony Revindasari; Zulhaydar Fairozal Akbar; Muhammad Faiz Al Hakim
Jurnal Teknologi Informasi dan Multimedia Vol. 8 No. 3 (2026): August
Publisher : Sekawan Institut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35746/jtim.v8i3.1109

Abstract

Increasing demand for energy efficiency in the transportation sector highlights the need for educational media that can introduce fuel efficiency concepts in an engaging and accessible manner. However, understanding of the factors affecting fuel efficiency remains limited, while most automotive games focus primarily on entertainment rather than education. This study developed Fuel Run: 1L Challenge as an educational simulation game based on game-based learning and serious game approaches to introduce vehicle fuel efficiency systems. The game integrates idle mechanics, a simplified physics-based simulation, and interactive feedback to illustrate the effects of four main factors engine, fuel, vehicle body, and supporting technology on vehicle efficiency. The development process employed the ADDIE model combined with the Game Development Life Cycle (GDLC), targeting an Android platform in portrait orientation. The novelty of this study lies in presenting fuel efficiency concepts through an interactive simulation designed for non-technical users. The evaluation involved 45 respondents using a pre-test and post-test design, with the results analyzed using the Wilcoxon Signed-Rank Test and effect size calculation. The results showed an increase in the mean understanding score from 72.57 to 82.34, representing an increase of 9.77 points (13.5% relatively) after using the game. The Wilcoxon test indicated a significant difference between the pre-test and post-test scores (Z = -4.518; p < 0.001), with an effect size of r = 0.48, categorized as moderate. These findings indicate that Fuel Run: 1L Challenge has the potential to serve as an alternative educational medium for supporting understanding of vehicle fuel efficiency.
Pengembangan Website Profil Fakultas Ilmu Kesehatan, Sains, & Teknologi Universitas Bima Internasional MFH Menggunakan Metode Waterfall Prince Nirwana; Asmaul Husna RS; M. Dermawan Mulyodiputro; Mindi Richia Putri
Jurnal Teknologi Informasi dan Multimedia Vol. 8 No. 4 (2026): November
Publisher : Sekawan Institut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35746/jtim.v8i4.1126

Abstract

The Faculty of Health Sciences, Science, and Technology at Bima International University MFH requires an official website integrating profiles, study programs, news, galleries, contacts, and visitor messages. This applied study developed the system with Waterfall and Laravel 13.19.0 (MVC), targeting MySQL; controlled tests used SQLite 3.46.0. Black Box Testing covered 21 browser scenarios for authentication, access control, content management, public pages, responsiveness, and logout. Initial testing found a news route-binding defect; after correction and retesting, all 21 scenarios passed. Automated transactions averaged 0.267 seconds (median 0.188). A nine-task administrator pilot by one technical evaluator also completed all tasks, averaging 0.456 seconds (median 0.408). Results show functional conformity and preliminary operational feasibility in controlled Chromium. They do not establish population-level usability, broad cross-browser compatibility, production performance, resource efficiency, or security assurance.
Pengembangan Sistem Dokumen Akreditasi Program Studi D4 TRPL Berbasis Website dengan Penerapan BM25 dan Inverted Index Lukman Hakim; M. Dermawan Mulyodiputro; Sirajunnasihin Sirajunnasihin; Asmaul Husna RS
Jurnal Teknologi Informasi dan Multimedia Vol. 8 No. 4 (2026): November
Publisher : Sekawan Institut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35746/jtim.v8i4.1129

Abstract

Accreditation documents in the D4 Software Engineering Technology Study Program are dispersed across devices and locations, complicating retrieval, version control, validation, and completeness monitoring. This study develops web-based SIDA TRPL using Waterfall, Laravel 13, SQLite, an in-memory Inverted Index, and BM25 (k1 = 1.5; b = 0.75). Black-box testing showed 7/7 scenarios successful (100%). On five documents and five multi-term queries, BM25 ranked the target first in all cases (5/5; Hit@1 = 100%), while literal SQL LIKE retrieved only 1/5 targets (20%). Role-based UAT accepted 12/12 scenarios (100\%). Nielsen inspection found eight heuristics fulfilled and two partially fulfilled, mainly undo/recovery and help/documentation. In the test environment, SIDA TRPL supports centralized document management, role-based validation, completeness monitoring, and relevance-oriented retrieval; production effectiveness requires further evaluation.
Pelokalan Manipulasi Citra Digital Menggunakan Block-Based Fragile Watermarking LSB dan Fungsi Hash Kriptografi Raihan Budi Waluyo; Ermadi Satria Wijaya; Sigit Sugiyanto; Harjono Harjono
Jurnal Teknologi Informasi dan Multimedia Vol. 8 No. 4 (2026): November
Publisher : Sekawan Institut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35746/jtim.v8i4.1141

Abstract

The increasing accessibility of digital image editing tools has made image forgery a growing concern in forensic, legal, and medical imaging contexts, where content authenticity is critical. This study proposes a fragile watermarking scheme based on non-overlapping 2 x 2 pixel block matrices integrated with the MD5 cryptographic hash function to enable precise tamper localization in digital images. Watermark embedding is restricted exclusively to the 1-bit Least Significant Bit (LSB) space, while the remaining 7-bit Most Significant Bit (MSB) of each block is processed using MD5, truncated to 4 bits, and embedded through a bitwise OR operation. The scheme was evaluated on 30 samples from the CoMoFoD forgery dataset through watermark embedding, spatial manipulation attack simulation, blind extraction, and localization, with performance measured using PSNR, SSIM, and detection accuracy. The results show an average PSNR of 51.09 dB and SSIM of 0.9977, indicating no perceptible visual degradation, alongside an average detection accuracy of 93.51%, confirming high sensitivity to spatial tampering with minimal false positives. These findings demonstrate that micro block-level hashing effectively balances imperceptibility and fragility, offering a computationally lightweight yet precise instrument for digital image forensics.

Page 34 of 36 | Total Record : 355

 32   33   34   35   36 

Filter by Year

2019 2026


Reset
Filter By Issues
All Issue Vol. 8 No. 4 (2026): November Vol. 8 No. 3 (2026): August Vol. 8 No. 2 (2026): May Vol. 8 No. 1 (2026): February Vol. 7 No. 4 (2025): November Vol. 7 No. 3 (2025): August Vol. 7 No. 2 (2025): May Vol. 7 No. 1 (2025): February Vol. 6 No. 3 (2024): November Vol. 6 No. 2 (2024): August Vol. 6 No. 1 (2024): May Vol. 5 No. 4 (2024): February Vol. 5 No. 3 (2023): November Vol 5 No 3 (2023): November Vol. 5 No. 2 (2023): August Vol 5 No 1 (2023): May Vol. 5 No. 1 (2023): May Vol 4 No 4 (2023): February Vol. 4 No. 4 (2023): February Vol 4 No 3 (2022): November Vol 4 No 2 (2022): Agustus Vol 4 No 1 (2022): May Vol. 4 No. 1 (2022): May Vol 3 No 4 (2022): February Vol 3 No 3 (2021): November Vol 3 No 2 (2021): August Vol. 3 No. 2 (2021): August Vol 3 No 1 (2021): May Vol 2 No 4 (2021): February Vol. 2 No. 4 (2021): February Vol 2 No 3 (2020): November Vol 2 No 2 (2020): August Vol 2 No 1 (2020): May Vol 1 No 4 (2020): February Vol 1 No 3 (2019): November Vol 1 No 2 (2019): August Vol 1 No 1 (2019): May More Issue