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TIN: TERAPAN INFORMATIKA NUSANTARA
Published by Forum Kerjasama Pendidikan TInggi
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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 549 Documents
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Implementasi Convolutional Neural Network Untuk Pengenalan Tulisan Tangan Akasara Sunda Ngalangéna Azizah, Rahma Nur; Avianto, Donny
TIN: Terapan Informatika Nusantara Vol 6 No 7 (2025): December 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/tin.v6i7.8703

Abstract

Efforts to preserve the Sundanese script as a cultural heritage face challenges in the digital era, one of which is the limited resources for pattern recognition. This research aims to develop an effective custom Convolutional Neural Network (CNN) model for the classification of handwritten Sundanese script. Facing the constraint of no available public dataset, this study utilizes a primary dataset (Swaraksara Dataset) created by the author, consisting of 6,500 handwritten images evenly distributed across 13 classes (combinations of the "Na" script with rarangkén). The methodology applied includes a comprehensive data preprocessing stage, covering grayscale conversion, resizing to 200x200 pixels, normalization, and data augmentation techniques to prevent overfitting. The custom CNN architecture was designed with five convolutional layers (filters 32 to 512) and the Adam optimizer. The experimental results show that the optimal configuration was achieved with a learning rate of 0.001 and 50 training epochs, resulting in very high model performance. In the evaluation using test data, the model achieved an accuracy of 99.54% with a loss value of 0.0175. The optimal performance of this model is driven by the quality of the primary dataset supported by comprehensive image preprocessing stages, thus ensuring clean, uniform, and significantly noise-free data input. Analysis of the confusion matrix and learning curves also confirmed the model's excellent generalization ability with no indications of overfitting. This model has been successfully implemented in the "Swaraksara" web application as a Sundanese script recognition system.
Analisis dan Implementasi Sistem Antrian Digital Berbasis Web untuk Optimalisasi Layanan Perbankan Modern Alifya Aisya, Alifya Aisya; Bastio, Aldrik; Pandiangan, Daniel; Niska, Debi Yandra
TIN: Terapan Informatika Nusantara Vol 6 No 7 (2025): December 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/tin.v6i7.8705

Abstract

This study aims to analyze and develop a web-based digital queuing system designed to significantly enhance the efficiency of banking services in the digital age. The urgent problem identified is the suboptimal management of customer queues, which frequently leads to prolonged waiting times and ultimately diminishes customer satisfaction with the bank's services. We constructed this system using the foundational web technologies of HTML, CSS, and JavaScript, primarily targeting the creation of an interface that is user-friendly, visually comfortable, and accessible from any gadget. The research was conducted at Bank Nusantara Branch in Medan. The methodology involved direct observation of the current manual queuing process, coupled with brief discussions (interviews) with several customers and staff to accurately grasp the specific needs. The key contribution of this study is the successful creation of a comprehensive draft design for a digital queuing system, which can serve as a concrete guideline for other banks. This initial result presents a system draft enabling customers to take and monitor their queue position from anywhere. The expectation is that this solution will significantly cut waiting times and elevate the overall customer experience. As a concluding step, the system will undergo thorough testing and user satisfaction evaluation to ensure its readiness for actual implementation in the banking sector.
Optimalisasi Sistem Deteksi Rekomendasi Persimpangan Jalan dalam Kepadatan Lalu Lintas Menggunakan Algoritma YOLO v11 Nurdiansyah, Aziz; Kalifia, Anna Dina
TIN: Terapan Informatika Nusantara Vol 6 No 7 (2025): December 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/tin.v6i7.8715

Abstract

The crucial problem facing modern urban areas is traffic congestion, which causes significant time, economic, and environmental losses. Manual identification of traffic density has proven to be inefficient and error-prone, especially at intersections with high real-time density fluctuations. This research aims to design and test a real-time vehicle detection system that is robust against environmental variability and capable of providing accurate predictions of density levels, contributing to the transformation of traffic management from reactive to predictive.As a solution, a traffic density detection and analysis system based on Deep Learning is proposed, utilizing an optimized YOLOv11 model, integrating Image Processing and a Neural Network. YOLOv11 is used to accurately detect and classify various types of vehicles from CCTV video footage, even in low-light conditions, and the results serve as input for the Adaptive Traffic Light Control Module based on the Density.Preliminary results from model training show very fast convergence, achieving a comprehensive accuracy (mAP@0.5) of 0.956 on the validation set in just 10 epochs. Although testing on new test data yielded an overall class mAP@0.5 of 0.631, the model demonstrated superior performance for detecting large vehicles, such as trucks (mAP@0.5 = 0.962) and cars (mAP@0.5 = 0.935). This system is expected to provide accurate traffic density information, enable adaptive traffic light settings, and ultimately contribute to intelligent traffic management systems.
Analisis Perhitungan Kebutuhan Tenaga Kesehatan Perawat dengan Metode Workload Indicator Staff Need (WISN) Minati, Tengku Nanda Edwina; Girsang, Ermi; Ramadhani, Sri Lestari
TIN: Terapan Informatika Nusantara Vol 6 No 6 (2025): November 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/tin.v6i6.8736

Abstract

The balance between the number of nursing staff and workload is crucial to ensure the quality of healthcare services. A mismatch between staffing levels and workload can lead to fatigue, decreased performance, and reduced quality of care. This study aims to analyze the calculation of nursing staff requirements using the Workload Indicator of Staffing Need (WISN) method in the inpatient units of Mitra Guray Petumbukan General Hospital. The specific objectives are to determine the available working time, existing human resource categories, workload standards, allowance standards, and the number of nurses required based on actual workload. This research employs a quantitative descriptive method with an observational approach, involving 20 nurses as the sample. Data were collected through observation, interviews, and document review of nursing activities, and analyzed using the WISN components, namely available working time, workload standards, and allowance factors. The results showed that the available working time was 3,132 hours per year, with an average of 9 nurses on the morning shift and 6 nurses on the night shift. The total staffing requirement based on the WISN calculation was 22.1 nurses, while the actual number of nurses was 20, resulting in a WISN ratio of 0.9, indicating a shortage of two nurses. The study concludes that the number of nurses in the inpatient units of Mitra Guray Petumbukan General Hospital is not yet fully balanced with the existing workload. It is recommended that the hospital add more nursing staff, organize work schedules more proportionally, and regularly evaluate workload to maintain the quality of nursing services.
Klasifikasi Aritmia Berbasis Model Hybrid Convolutional Neural Network dan Transformer dengan Implementasi Berbasis Web Arief, Jibril Muhammad; Santoso, Cahyono Budy
TIN: Terapan Informatika Nusantara Vol 6 No 7 (2025): December 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/tin.v6i7.8777

Abstract

Cardiac arrhythmia is a heart rhythm disorder that can trigger serious cardiovascular conditions and significantly increase the risk of sudden cardiac death. Conventional arrhythmia detection processes still rely on the manual interpretation of electrocardiogram (ECG) signals by medical experts, which necessitates high precision and is time-consuming. Advancements in artificial intelligence, particularly in Deep Learning, have paved the way for the development of faster and more consistent automated detection systems. This study proposes an arrhythmia classification model based on a hybrid architecture combining Convolutional Neural Networks (CNN) and Transformers. The CNN is utilized to extract spatial features from ECG signals, while the Transformer functions to capture temporal patterns within the signal sequences. The MIT-BIH Arrhythmia Database was employed for training and validation, encompassing five heartbeat classes: Normal, Supraventricular, Ventricular, Fusion, and Unknown beats. Experimental results demonstrate that the model achieved a validation accuracy of 98%, accompanied by balanced precision, recall, and F1-scores for the majority class. Furthermore, the model demonstrated robustness in detecting critical minority classes, achieving a sensitivity (recall) of 93.7% for Ventricular beats and 57.1% for Supraventricular beats. This model was subsequently implemented into a web-based system to enable real-time and flexible ECG signal analysis. These findings indicate that the integration of CNN and Transformer effectively enhances arrhythmia detection accuracy, not only for majority classes but also for rare pathological classes.
Strategi Implementasi TIK Untuk Meningkatkan Efektivitas Manajemen dan Pembelajaran di Sekolah Menengah Pertama Anasari, Tri; Abdillah, Definka Puan Shalika; Sulistiyowati, Nourma Ayu; Soekarno, Gustina Anugerahwati; Murtiyasa, Budi; Masduki, Masduki
TIN: Terapan Informatika Nusantara Vol 6 No 7 (2025): December 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/tin.v6i7.8804

Abstract

This study aims to analyze the strategy of implementing Information and Communication Technology (ICT) in improving the effectiveness of school management and the quality of learning. The study uses a qualitative approach with a case study method, focusing on schools that have implemented ICT in managerial activities and teaching and learning processes. Data were collected through interviews, observations, and document analysis, involving various parties such as principals, administrative staff, teachers, and students. The analysis was conducted using a triangulation approach of sources and methods, and supported by a SWOT analysis to identify strengths, weaknesses, opportunities, and challenges in the implementation of ICT. The research strategically strengthened the school management system through administrative efficiency, increased data accuracy, and more integrated monitoring of academic performance. The results of ICT implementation also contributed to increased teacher interaction as shown by a total average of 4.03 that teachers have a positive perception of ICT implementation, especially in the aspects of leadership support (average 4.60) and availability of facilities (4.50). Student results show a total average of 3.91 students rating the implementation of ICT in schools as Good, with the most prominent aspects being more engaging learning (4.25) and the convenience of learning using ICT (4.10). However, several obstacles remain, such as limited digital infrastructure, a lack of teacher competence in mastering technology, and resistance to changes in work culture. As recommendations, this study offers three main steps in ICT implementation: (1) gradually strengthening digital infrastructure according to school needs, (2) improving educator competence through training based on real needs, and (3) implementing a flexible and sustainable ICT management evaluation system. With the support of visionary school policies and increased digital literacy among all school members, digital transformation is expected to create an innovative, collaborative, and quality-oriented learning ecosystem in the digital era.
Prediksi Kemacetan Lalu Lintas Menggunakan Algoritma Random Forest Vindua, Raditia; Bilqis, Salsa Sayida; Hakim, Hamdan Qo’du Ilal; Ramadhani, Rido
TIN: Terapan Informatika Nusantara Vol 6 No 7 (2025): December 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/tin.v6i7.8806

Abstract

Traffic congestion is a major issue in urban and suburban areas such as Pamulang, South Tangerang, caused by increasing vehicle volume without proportional road infrastructure development. This study aims to predict traffic congestion levels using the Random Forest algorithm and identify the dominant factors influencing congestion. The research utilized the Smart Traffic Management Dataset containing 2,000 observations with 12 variables such as average speed, traffic volume, weather conditions, and accident reports. The analysis process included data cleaning, categorical variable encoding, data splitting (80% training and 20% testing), and model validation using the 5-fold cross-validation technique. The results showed that the Random Forest model achieved 95,75% accuracy, with a precision of 0.96 and recall of 0.96. The feature importance analysis indicated that the average vehicle speed variable had the highest influence on congestion levels, followed by traffic volume and accident reports. These findings demonstrate that the Random Forest algorithm is highly effective in identifying traffic patterns and can serve as a foundation for developing intelligent transportation systems in the Pamulang area to reduce congestion adaptively and in real time.
Klasifikasi Sentimen Masyarakat Terhadap Kaesang Pangarep pada Media Sosial Twitter/X Menggunakan MLP Classifier dengan Fitur FastText Tarmizi, Veci Cahyono; Agustian, Surya; Okfalisa, Okfalisa; Pizaini, Pizaini
TIN: Terapan Informatika Nusantara Vol 6 No 7 (2025): December 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/tin.v6i7.8815

Abstract

Social media has become a primary channel for the public to express their opinions and reactions toward various political developments in Indonesia. One of the prominent discussions revolves around Kaesang Pangarep’s appointment as the Chairman of the Indonesian Solidarity Party (PSI). This study aims to analyze and classify public sentiment regarding this issue by employing the Multi-Layer Perceptron (MLP) algorithm integrated with FastText-based text representation. The dataset was collected from Twitter using keywords such as “Kaesang PSI”, and was further expanded with additional data from general topics including Covid-19 and Open Topic, ensuring a balanced distribution across positive, neutral, and negative sentiment categories for a more comprehensive representation of public opinion. The model’s performance was evaluated through four metrics: accuracy, precision, recall, and F1 Score. The experimental results demonstrate that the MLP–FastText model achieved consecutive scores of 0. 5129 for F1 Score, 0. 6035 for accuracy, 0. 5319 for precision, and 0. 5996 for recall. These findings indicate that the combination of MLP and FastText effectively captures sentiment patterns within textual data, particularly in the context of unstructured and dynamic social media content, and performs well when enhanced with relevant external data augmentation strategies.
Analisis Kepuasan Pengguna Aplikasi Abdi Praja Mobile Menggunakan PIECES dan EUCS Loujien, Agil Aurora; Saskara, Gede Arna Jude; Darmawiguna, I Gede Mahendra
TIN: Terapan Informatika Nusantara Vol 6 No 7 (2025): December 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/tin.v6i7.8823

Abstract

The Abdi Praja Mobile application is a system owned by KPN Abdi Praja to support the digital transformation of the cooperative, particularly in providing easier access to financial information for its members. Through this application, members are expected to receive services that are faster, more accurate, and more efficient without needing to visit the cooperative office directly. However, in its implementation, there are still several obstacles that affect the level of user satisfaction, such as limited features, a registration process that is not yet simple, and technical issues that occur at certain times. These conditions indicate the need for a comprehensive evaluation so that the application’s development can be more targeted and aligned with the needs of its members. This study aims to evaluate user satisfaction, analyze the influence of each variable contained in the PIECES and EUCS methods, and formulate improvement recommendations based on the results of the analysis. The findings show that the variables Performance, Information, Economic, Control, Efficiency, Service, and Content have a positive and significant impact on user satisfaction. This indicates that these aspects are perceived as beneficial by members and contribute to their experience in using the application. On the other hand, the variables Accuracy, Format, Ease of Use, and Timeliness do not have a significant influence, suggesting that these elements require more attention in future application development. The recommendations proposed include optimizing system reliability and stability, providing automatic notifications for financial information, developing more comprehensive service features, simplifying the registration process, strengthening data security, improving application accessibility across devices, and providing a 24-hour support service or call center to ensure that members can receive assistance whenever needed.
Kajian Literatur Inovasi Media Pembelajaran 3D Berbasis Website pada Pembelajaran IPAS Sekolah Dasar Swastika Yasa, I Kadek Adi
TIN: Terapan Informatika Nusantara Vol 6 No 7 (2025): December 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/tin.v6i7.8829

Abstract

The rapid advancement of information technology has brought substantial changes to the field of education, particularly in the ways teachers deliver instruction and how students acquire knowledge. One emerging innovation that aligns with the demands of 21st-century learning is the integration of web-based 3D learning media. This study aims to examine the potential, strengths, and challenges of implementing 3D web-based instructional media to support thematic learning in elementary schools, specifically within the theme My Beloved Earth, My Suffering Earth. This research employs a literature review approach by analyzing various national and international sources related to digital media development, 3D technology, and thematic learning. The findings show that 3D learning media can enhance students’ interactivity, motivation, and conceptual understanding of environmental and earth science topics. Three-dimensional visualization enables students to explore natural phenomena in a more realistic and contextual manner. Additionally, integrating 3D media with website technology makes learning tools easier to access, more efficient, and compatible with a wide range of digital devices. Nevertheless, several challenges persist, including limited technological infrastructure, low digital literacy among some teachers, and the need for professional development in creating interactive media. Therefore, collaboration between teachers, media developers, and educational institutions is essential to optimize the implementation of this technology. Overall, web-based 3D instructional media hold strong potential as a strategic innovation in the digital transformation of elementary education, fostering active, creative learning and supporting the development of essential 21st-century competencies.

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