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INDONESIA
TIN: TERAPAN INFORMATIKA NUSANTARA
ISSN : -     EISSN : 27227987     DOI : -
Jurnal TIN: TERAPAN INFORMATIKA NUSANTARA memuat tentang Kajian Bunga Rampai dari berbagai ide dan hasil penelitian para peneliti, mahasiswa, dan dosen yang berkompeten di bidangnya dari berbagai disiplin ilmu seperti: Komputer, Informatika, Industri, Elektro, Telekomunikasi, Kesehatan, Agama, Pertanian, Pembelajaran, Pendidikan, Teknologi Pendidikan, Ekonomi dan Bisnis, Manajemen, Akuntansi, dan Hukum
Arjuna Subject : Umum - Umum
Articles 756 Documents
Android Based Indonesian Sign Language Hand Gesture Detection using Transfer Learning Method Mohammad Iqbal Bachtiar; Rizki Anantama; Desi Anis Anggraini; Zeinor Rahman; Mohammad Ilham Bahri
TIN: Terapan Informatika Nusantara Vol 7 No 1 (2026): June 2026
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/tin.v7i1.10448

Abstract

People with hearing and speech impairments rely on sign language for daily communication. However, public understanding of the Indonesian Sign Language System (SIBI), particularly its alphabet hand gestures, remains limited, creating communication barriers between deaf individuals and the wider community. This study aims to develop an Android-based application for recognizing SIBI alphabet hand gestures using the Transfer Learning method implemented through Google Teachable Machine. A dataset consisting of 200 images for each SIBI alphabet gesture was collected and used to train the classification model. Several training scenarios were evaluated by varying the Epoch, Batch Size, and Learning Rate parameters to obtain the optimal model. The trained model was then converted into TensorFlow Lite and integrated into an Android application for real-time hand gesture recognition. Experimental results show that the best performance was achieved using Epoch 50, Batch Size 16, and Learning Rate 0.001, producing training and validation accuracy of 1.0 with an error rate close to 0.0. The developed application successfully recognized all tested static SIBI alphabet gestures, demonstrating reliable performance in practical implementation. This study contributes by providing a lightweight Android-based SIBI hand gesture recognition system and experimentally evaluating the influence of training hyperparameters on recognition performance. The proposed approach offers an efficient solution for supporting SIBI learning and improving communication accessibility for deaf or speech-impaired individuals.
Integrasi TAM dan ECT Berbasis PLS-SEM untuk Menguji Intensi Keberlanjutan Penggunaan Aplikasi AI di Kalangan Mahasiswa Yusuf Sutanto; Heribertus Ary Setyadi; Wawan Nugroho
TIN: Terapan Informatika Nusantara Vol 7 No 1 (2026): June 2026
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/tin.v7i1.9455

Abstract

The integration of artificial intelligence (AI) in higher education triggers a crucial dilemma; students rely on AI for academic efficiency while facing concerns over data stability, information bias, and privacy risks. This study analyzes the factors influencing students' satisfaction and continuance intention to use AI-based applications. Utilizing a quantitative survey approach, data were gathered from 211 university students. Partial Least Squares Structural Equation Modeling (PLS-SEM) was employed to evaluate the structural model and relationships between variables. Theoretically, this study integrates the Technology Acceptance Model (TAM) and the Expectation Confirmation Theory (ECT). The novelty lies in examining AI continuance intention in higher education by incorporating the moderating effects of perceived risk. The results reveal that perceived usefulness and perceived ease of use are strong predictors of continuance intention, with satisfaction acting as a central mediator. These findings confirm that functionality and operational simplicity drive student usage loyalty. Practically, educational institutions and technology developers must prioritize user-friendly interfaces and tangible utility to ensure long-term engagement and sustainable AI adoption. Ultimately, the primary contribution of this research lies in its empirical integration of TAM and ECT within the generative AI context, offering a novel framework that deconstructs conventional assumptions regarding technology anxiety among digital-native students.
Analisis Kinerja Protokol ESP-NOW Sebagai Komunikasi Data Multi-Node Wireless Sensor Network Pada Esp32 dengan IoT Gateway dan Visualisasi Web Eko Wahyudi; Sandy Suryo Prayogo
TIN: Terapan Informatika Nusantara Vol 7 No 2 (2026): July 2026
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/tin.v7i2.9950

Abstract

IoT-based Wireless Sensor Networks (WSN) are typically low-rate and latency-sensitive, making the selection of an efficient communication protocol critical. Unlike prior studies that generally examined a single aspect of ESP-NOW performance in isolation (range, comparison with Wi-Fi, or delay in multi-node scenarios), this study contributes a novel integrated evaluation framework that simultaneously analyzes ESP-NOW performance on ESP32 with a many-to-one topology across six operational variables: number of nodes (1–2), transmission interval (1, 3, and 5 seconds), transmission distance (10–50 meters), environmental condition (with and without obstacles), device positioning, and data load, while integrating the system end-to-end with an ESP32-based IoT gateway, InfluxDB time-series database, and real-time Grafana visualization. Each sensor node is equipped with a GY-BMP280 sensor for temperature and air pressure measurement. Performance was evaluated using TIPHON-standard Quality of Service (QoS) parameters, including delay, throughput, jitter, and packet loss, along with additional RSSI and power consumption measurements. Results show that a 1-second transmission interval yields the best QoS with delay <150 ms, jitter 0–75 ms, and 0% packet loss at distances up to 30 meters without obstacles. The IoT gateway successfully received data without packet loss under low-to-medium loads and demonstrated a write capacity to InfluxDB of up to 1000 data points per second. The main contribution of this study is the provision of a TIPHON-standardized ESP-NOW performance map and an end-to-end system architecture that can serve as a configuration reference for small-to-medium-scale IoT developers. This study is limited to a maximum of two nodes, so generalization to larger scales requires further investigation.
Perancangan Sistem Tracking Procurement Berbasis Web dengan Integrasi Rekam Jejak Persetujuan (Audit Trail) Valent Laorens; Dean Prananta; Venny Ponggawa; Franky Manoppo
TIN: Terapan Informatika Nusantara Vol 7 No 1 (2026): June 2026
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/tin.v7i1.10033

Abstract

Structured and integrated procurement management is a primary pillar for business sustainability in the digital era. This research focuses on resolving procurement administration issues at PT. X, which relies heavily on physical documents (WD, PRS, PO, and RR), leading to a high risk of lost audit trails, slow approval processes, and a lack of transparency. This study aims to design a web-based procurement tracking system that centrally integrates all procurement stages. System development adopted the Waterfall method, chosen specifically for its ability to accommodate the company's rigid, sequential, and strictly standardized bureaucratic flow across departments. The system was built using the Laravel framework and MySQL database. Black Box Testing confirmed that all modules operate validly. The main contribution of this research is the integration model of a real-time audit trail tracking across departments. Quantitatively, the system's implementation is estimated to significantly reduce the approval lead time from an average of 3-5 workdays to under 24 hours and eliminate the risk of document loss to 0%. These results prove that the digitalization of the tracking system provides measurable positive impacts for PT. X's operations.
Pengembangan Automotive-Hub Platform Ekosistem Otomotif Menggunakan Metode Agile Saut Pintubipar Saragih; Erlin Elisa; Muhammat Rasid Ridho
TIN: Terapan Informatika Nusantara Vol 7 No 2 (2026): July 2026
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/tin.v7i2.10045

Abstract

Current automotive business processes in Batam, encompassing both sales and rentals, remain dominated by conventional methods and the fragmented dissemination of information across social media platforms. This reliance leads to search time inefficiencies, restricted consumer access to specific information, and a distinct lack of an integrated information system capable of accommodating all entities within the automotive business ecosystem. This study aims to bridge this gap by developing an Integrated Automotive-Hub Platform designed to seamlessly and inclusively connect the automotive ecosystem—specifically, industry entrepreneurs and consumers. The software development lifecycle implements the Agile methodology through iterative cycles (Sprints), comprising product backlog creation, iterative development, and continuous testing. Built on a Model-View-Controller (MVC) architecture, the platform features robust core functionalities, including Create, Read, Update, and Delete (CRUD) product management, Peer-to-Peer (P2P) Live Messaging, a Wishlist system, and a Rating & Review module. System evaluation was conducted using Black-Box Testing to validate software functionality, alongside comparative operational time testing to measure the productivity of the new system against traditional manual processes (which utilize messaging applications and spreadsheets). Functional testing results indicate that 14 system scenarios executed perfectly, with no interface or database errors detected. Furthermore, comparative time analyses demonstrate that the platform drastically reduces operational durations within the search and fleet management modules, achieving a Task Success Rate of 95% to 100%. The primary contribution of this research is the engineering of a centralized, public-facing digital automotive ecosystem. This platform tangibly optimizes information transparency (inclusive information), accelerates transaction processes, and minimizes human error within Batam's automotive industry.
Pengembangan Sistem Arsip Dinamis Kontrak Tower Menggunakan Metode DevOps Berbasis Web Arbin Rante
TIN: Terapan Informatika Nusantara Vol 7 No 2 (2026): July 2026
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/tin.v7i2.10064

Abstract

The management of tower lease renewal warning letters at PT Indosat Ooredoo Hutchison (IOH) faces various challenges, including process inefficiency, recording errors, and limited data visibility due to reliance on manual processes that have not been systematically structured. These conditions have led to slow administrative responses and an increased risk of delays in handling alternative tower replacement mitigation. This study aims to design and develop a web-based dynamic archive information system using the DevOps method to improve software development effectiveness while optimizing operational services within the Tower Lease Provider (TLP) department at PT IOH. DevOps was selected for its ability to continuously integrate development and operations processes, thereby accelerating software release cycles and improving system quality on an ongoing basis. The research was conducted at PT IOH's Jakarta office during the period of April–June 2026, involving four tower providers as informants and one internal TLP representative. Research stages included requirements analysis, database design using Entity Relationship Diagrams (ERD) and Physical Data Models (PDM), implementation of monitoring features, automated notifications, and reporting, through to deployment via the TLP SYSTEM ARSIP application. Testing was carried out using the Black Box Testing method, confirming that all core functions performed as expected. The results demonstrate that the system operates stably, with improved recording accuracy, a reduction in administrative processing time of up to 60–70%, and a decrease in recording errors of up to 80% compared to the previous manual process. Through DevOps implementation, PT IOH has acquired a reliable and adaptive digital platform responsive to evolving operational needs in tower lease renewal management.
Analisis Pengaruh Peningkatan Kualitas Citra Berbasis Histogram terhadap Kinerja ResNet-18 pada Klasifikasi Karakter Katakana Shella Christanti; Anggraini Puspita Sari; Budi Nugroho
TIN: Terapan Informatika Nusantara Vol 7 No 2 (2026): July 2026
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/tin.v7i2.10078

Abstract

Handwritten Katakana character classification remains a challenging task due to variations in individual writing styles and suboptimal image quality, such as low contrast and unclear character details. These conditions can affect the model's ability to extract discriminative features and accurately recognize characters. This study aims to analyze the impact of histogram-based image enhancement techniques, namely Histogram Equalization (HE), Adaptive Histogram Equalization (AHE), and Contrast Limited Adaptive Histogram Equalization (CLAHE), on the performance of the ResNet-18 model for Katakana character classification. The ETL5 dataset, consisting of 9,200 handwritten character images across 46 character classes, was used in this study. The dataset was divided into training and testing sets with an 80:20 ratio. To increase data diversity and reduce the risk of overfitting, data augmentation using rotation and translation was applied to the training set. The classification process employed a transfer learning-based ResNet-18 model initialized with ImageNet pretrained weights, where only the fully connected layer was fine-tuned using the Adam optimizer for 50 epochs. The experimental results show that CLAHE achieved the best performance with an accuracy of 97.01%, while HE and AHE obtained accuracies of 83.15% and 76.79%, respectively. These findings indicate that CLAHE is more effective than HE and AHE in improving the classification performance of handwritten Katakana characters using ResNet-18, resulting in more accurate predictions. This study contributes by providing a comparative analysis of the effects of three histogram-based image enhancement methods on the performance of ResNet-18 for handwritten Katakana character classification.
Evaluasi Tata Kelola TI pada Industri Manufaktur Kereta Api dalam Proses Pengadaan Menggunakan COBIT 2019 Dewa Ayu Eka Sri Widhi Astuti; I Made Ardwi Pradnyana; Gede Rasben Dantes
TIN: Terapan Informatika Nusantara Vol 7 No 2 (2026): July 2026
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/tin.v7i2.10093

Abstract

The procurement process in the railway manufacturing industry exhibits high complexity due to product characteristics that vary in specification for every project. PT Industri Kereta Api (INKA), a strategic state-owned enterprise (SOE) located in Madiun, East Java, faces challenges in information technology (IT) governance to support this process, while simultaneously being bound by regulatory mandates for independent IT maturity assessments. This study aims to measure the maturity level of IT governance in PT INKA's procurement process and formulate measurable improvement recommendations. The evaluation was conducted using the COBIT 2019 framework across five strategic domains: APO10 (Managed Vendors), APO12 (Managed Risk), BAI03 (Managed Solutions Identification and Build), BAI06 (Managed IT Changes), and MEA01 (Performance and Conformance Monitoring). Utilizing a descriptive approach, this research involved purposive stakeholders from PT INKA's IT department. Data collection was carried out through semi-structured interviews, field observations, document analysis, and the COBIT 2019 assessment instrument based on the NPLF scale. The evaluation results reveal that all domains are currently at Level 3 (Established Process), indicating a 1-level gap from the targeted Level 4 (Predictable Process). The primary obstacle is the lack of consistent quantitative measurement implementation, such as standardized vendor KPI (Key Performance Indicators ), threshold-based KRI (Key Risk Indicators), and an integrated business intelligence platform. The resulting recommendations are practical and phased, with priority given to the establishment of a Change Advisory Board. This study contributes empirical evidence on IT governance evaluation specifically addressing procurement in the railway manufacturing industry, characterized by high product customization, and serves as a practical reference for similar industry in developing capability improvement measures toward a more predictable process level.
Pengembangan Sistem Informasi Penanganan Feedback Client Berbasis Web Menggunakan Metode Waterfall Caesar Yoga Pratama; Marta Ardiyanto; Mira Erlinawati
TIN: Terapan Informatika Nusantara Vol 7 No 2 (2026): July 2026
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/tin.v7i2.10104

Abstract

Client feedback management at BIIS Corp still relies on WhatsApp group communication and manual spreadsheet recording, resulting in difficulties in monitoring work progress, inadequate documentation of handling history, and poor coordination between staff and programmers. This study aims to design and develop a web-based client feedback information system to support centralized and structured feedback management. Problem identification was conducted using the PIECES framework, which revealed weaknesses across all six aspects. The system was developed using the Waterfall model within the SDLC framework, with UML-based modeling and functional testing through the Blackbox Testing method. Built using PHP, MySQL, HTML, CSS, and JavaScript, the system accommodates three user roles, namely administrator, staff, and programmer, and is equipped with features including feedback recording, programmer assignment, status updates, completion confirmation, reopen feedback mechanism, real-time notifications, activity log, and performance reporting. Testing across 15 scenarios achieved a 100% success rate. The contribution of this research is the development of a system specifically designed for a software house environment, integrating three user roles into a centralized workflow equipped with a reopen feedback mechanism, real-time notifications, and an activity log to support more effective feedback monitoring and documentation.
Evaluasi Kinerja Linear Search, Binary Search, dan SQL Query pada Sistem Informasi Berbasis Web Sri Shinta Wahyuni Hidayat; Anita Andriani; Aries Dwi Indriyanti; Edwin Hari Agus Prastyo
TIN: Terapan Informatika Nusantara Vol 7 No 1 (2026): June 2026
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/tin.v7i1.10121

Abstract

Data management in educational information systems requires efficient search mechanisms to provide fast and accurate access to information. Although various search algorithms have been widely implemented in web-based information systems, studies comparing application-level search algorithms with database-level search mechanisms that utilize query optimization features remain limited. This study aims to design and develop a web-based student data management information system and evaluate the performance of Linear Search, Binary Search, and SQL Query methods in data retrieval processes. The system was developed using the Laravel framework and MySQL database through the Waterfall approach, consisting of requirements analysis, system design, implementation, and testing stages. Performance testing was conducted using 1,000 student records with search scenarios based on Student Identification Numbers (NIS). The evaluation focused on measuring search execution time under the same testing environment for each method. The results showed that SQL Query achieved the best performance with an average execution time of 0.0065 seconds, outperforming Binary Search at 0.0248 seconds and Linear Search at 0.0369 seconds. These findings indicate that database indexing and query optimization mechanisms can significantly improve search efficiency compared to application-level search algorithms. However, the results are limited to a dataset of 1,000 records and cannot yet be generalized to large-scale data environments. This study contributes empirical evidence regarding the performance characteristics of different search methods in web-based information systems and provides practical insights for selecting appropriate data retrieval strategies.

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