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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 756 Documents
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Perbandingan Sensitivitas Serta Stabilitas MQ-4 dan MQ-5 Berbasis Arduino Untuk Deteksi Kebocoran Gas LPG Yaaman Nazara; Gogor Christmass Setyawan; Agustinus Rudatyo Himamunanto
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.v7i1.9992

Abstract

LPG gas leakage is a serious household safety threat in Indonesia, where 88.59% of households use LPG as their primary cooking fuel. Although colorless and faintly odorous at low concentrations, its flammable nature can cause explosions or fires if undetected. This research aims to compare MQ-4 and MQ-5 sensor performance in a single Arduino Uno-based gas leakage detection system. A quantitative experiment with direct comparison was conducted under identical conditions inside a sealed acrylic chamber measuring 16 × 12 × 10 cm, using LPG gas from a refillable lighter to simulate household leakage. Parameters measured include sensitivity, defined as the slope of the log(Rs/R₀) versus log(relative ppm) curve, and reading stability from the standard deviation of repeated measurements, where Rs is sensor resistance when exposed to gas and R₀ is resistance in clean air. All ppm values are relative estimates based on official sensor datasheets. Results show MQ-5 has higher sensitivity with a slope of 0.7914 compared to MQ-4 (0.6505), while MQ-4 is more stable with a log₁₀(Rs/R₀) standard deviation of 0.656 compared to MQ-5 (0.669). The system successfully detected all 30 leakage scenarios (100%) without false alarms, with a classification success rate of 99.0% per session. This research recommends MQ-5 for rapid early detection and MQ-4 for long-term monitoring requiring data consistency, thus both contribute as empirical evidence for a simple, accurate, and economical gas leakage detection solution.
Sistem Penjadwalan Ruangan Berbasis Website dengan Validasi Benturan Jadwal Salma Nurul Ikhsani; Nova Tri Romadloni
TIN: Terapan Informatika Nusantara Vol 6 No 12 (2026): May 2026
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/tin.v6i12.9995

Abstract

The utilization of information technology holds a vital position in elevating the excellence of data management and services in government agencies. This research was conducted at the Samber Nyawa Information Center of the Karanganyar Regency Communication and Information Service, which continues to face challenges in managing room utilization. The problem is that the current room scheduling procedure is carried out conventionally, often leading to overlapping schedules, information distribution constraints, and low efficiency in monitoring room utilization for both domestic and public events. This investigation objectifies to model and build a website-based room scheduling information system to facilitate the room scheduling mechanism in a more proficient and consolidated layout. The platform development deploys the Waterfall model, which comprises the phases of prerequisite analysis, system design, execution, verification, and maintenance. The application is structured leveraging the Laravel framework alongside a MySQL database and executes the Model View Controller (MVC) pattern. Strategies for gathering information are executed via observation, questions and answers, and literature review. The system validation utilized a User Acceptance Testing (UAT) scheme involving 20 participants consisting of Karanganyar Regency Communications and Information Technology (Diskominfo) employees, students, interns, and general users who had tried the website-based room scheduling information system. The examination findings showed that the system achieved a user approval rating of 89%, categorized as very good. The finalized software is capable of facilitating the progression of managing room usage schedules and provides real-time and structured room availability information for users.
Perbandingan Performa CNN MobileNetV2 dan K-Nearest Neighbors untuk Klasifikasi Kondisi Tanaman Cabai Tegar Wahyu Adi Saputra; Rodhiyah Mardhiyyah
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.v7i1.10004

Abstract

Diseases and pests affecting chili plants can reduce crop quality and productivity if not detected at an early stage. The identification of plant conditions is still commonly performed through manual visual observation, making the process prone to diagnostic errors and time-consuming. This study aims to compare the performance of a MobileNetV2-based Convolutional Neural Network (CNN) and K-Nearest Neighbors (KNN) for chili plant condition classification using digital images. The dataset consisted of 7,991 training images, 515 validation images, and 355 testing images generated through a cropping process based on bounding-box annotations, covering seven categories of chili plant conditions: Anthracnose, Aphid, Armyworm, Healthy, Leaf Spot, Whitefly, and Yellowisha. Preprocessing included image resizing to 128 × 128 pixels and normalization. The CNN model employed a MobileNetV2 architecture with transfer learning, while the KNN model utilized manually extracted features consisting of Histogram of Oriented Gradients (HOG), Local Binary Pattern (LBP), and Color Histogram. Model performance was evaluated using a confusion matrix, accuracy, precision, recall, and F1-score with a weighted-average approach. The results show that CNN outperformed KNN, achieving an accuracy of 81.69%, precision of 86.28%, recall of 81.69%, and F1-score of 81.34%, whereas KNN achieved an accuracy of 45.63%, precision of 66.80%, recall of 45.63%, and F1-score of 42.24%. The contribution of this study lies in providing a comparative analysis between deep learning and traditional machine learning approaches on a dataset encompassing diseases, pests, and healthy conditions within the same classification scenario. The findings indicate that CNN's automatic feature extraction capability produces more effective visual representations than the manually engineered features used by KNN.
Implementasi Model MaxViT untuk Deteksi Penyakit Daun Cabai Berbasis Mobile Nur Puspita Amalia; Salamun Rohman Nudin
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.v7i1.10025

Abstract

Chili is an important horticultural commodity in Indonesia, but its productivity often decreases due to leaf diseases such as Cercospora leaf spot, Powdery Mildew, Mites and Thrips, and Nutritional deficiency. Manual disease identification requires more time and may produce less accurate diagnoses. This study aims to develop a mobile-based chili leaf disease detection system using the Multi-Axis Vision Transformer (MaxViT) model. The dataset consisted of 10,987 chili leaf images divided into five classes and split into training, validation, and testing data with a ratio of 70:15:15. Model training was carried out using four optimizer scenarios, namely a standard baseline model, SGD, Adam, and AdamW. The result showed that the Adam optimizer archieved the best performance with 99,45% accuracy, 99,44% precision, 99,45% recall, and 99,45% F1-Score. The best model was converted into TensorFlow Lite format with a file size of 32.0 MB and deployed in a mobile application. The application can detect diseases through camera capture or gallery images and provide prediction results along with disease descriptions and treatment recommendations. Testing results indicate that the system performs well under various usage conditions. This system is expected to help users indentify chili leaf diseases quickly, practically, and accurately.
Pengembangan Sistem Informasi Dokumentasi Budaya dan Pengelolaan Dokumen Legalitas Kesenian Reyog Ponorogo Berbasis Web Menggunakan Metode Rapid Application Development Fauzan Yuda Ayub Wijanarko; Rauhulloh Ayatulloh Khomeini Noor Bintang
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.v7i1.10035

Abstract

The management of art studio data and legal documents related to Reyog Ponorogo cultural heritage is still conducted manually, resulting in difficulties in archive retrieval, risks of document loss, and limited public access to cultural information. Furthermore, there is currently no integrated platform capable of combining cultural documentation and legal document management within a centralized digital system. This study aims to develop a web-based information system for cultural documentation and legal document management of Reyog Ponorogo to support cultural digitalization and improve document archiving processes. The research employed the Research and Development (R&D) method using the Rapid Application Development (RAD) model, which consists of requirements analysis, system design, implementation, and testing phases. The system was developed using the Laravel framework, Model View Controller (MVC) architecture, and a MySQL database. The main features include art studio data management, legal document uploads, document verification, cultural news management, and online cultural information services. System evaluation was conducted using Black Box Testing and User Acceptance Testing (UAT). The results of Black Box Testing indicated that all system functions operated according to the specified functional requirements. Furthermore, the UAT results involving 20 respondents achieved a total score of 654 out of a maximum score of 700, resulting in a user acceptance rate of 93.4% and an average score of 4.67 out of 5, categorized as Very Good. These findings demonstrate that the system is capable of supporting cultural documentation and legal document management in a more structured, accessible, and digitally archived manner. The contribution of this study lies in providing an integrated digital platform that combines cultural documentation and legal document management to support the sustainable preservation of Reyog Ponorogo cultural heritage.
Backend Berbasis Laravel dengan Pendekatan Gamifikasi pada Sistem Pelaporan Tugas Harian Mahasiswa Nasrin Akhsani; Novi Tristanti
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.v7i1.10042

Abstract

Management of digital reporting of students' daily assignments still faces various obstacles, such as data inconsistencies, weak activity validation, delays in collecting assignments, and not yet optimal mechanisms that can improve student discipline on an ongoing basis. These problems show the importance of implementing a backend that is structured and capable of effectively supporting the automation of academic processes. This research aims to implement a web-based daily task reporting system backend using the Laravel framework with a gamification approach in the Nugas system. The research uses a qualitative approach with an implementation case study type and an adaptive Waterfall system development method. The research subjects consisted of 10 active students of the Informatics Study Program at Muhammadiyah Karanganyar University who were selected using a purposive sampling technique. Data collection was carried out through semi-structured interviews, observations, questionnaires and system documentation, while data analysis used source triangulation techniques to maintain the credibility of the research results. Backend implementation produces a system with 17 database Tabels, 15 controllers, and 2 main services, namely GamificationService and NotificationService. The results of black box testing on 74 RESTful API endpoints show that 72 endpoints (97.3%) function according to system requirements. Performance testing using Laravel Debugbar on 10 main endpoints shows an average database query time of ~35 ms without any N+1 query problems found, and the cache implementation runs well. Trials on 10 students showed that all respondents successfully submitted assignments and obtained the Early Bird badge, while the average questionnaire score reached 4.16 on a scale of 5 in the good category. This research provides a contribution in the form of a gamification-based Laravel backend implementation model that is integrated with a RESTful API to support the management of academic tasks in a more structured, automatic and scalable manner. Overall, the research results show that the application of gamification elements in the form of points, badges, leaderboards and achievements can increase student motivation in completing academic assignments.
Peningkatan Efisiensi Pembaruan Aplikasi Android Tap On Bus Menggunakan Sistem OTA Update Berbasis REST API Rohmat Julianto; Mutaqin Akbar
TIN: Terapan Informatika Nusantara Vol 6 No 10 (2026): March 2026
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/tin.v6i10.9406

Abstract

Managing application updates for more than 400 Android validator devices of the Tap On Bus system, deployed across various public transportation routes in Indonesia, presents significant challenges in efficiency and scalability. The existing manual update process, relying on physical storage media (flash drives) and direct technician intervention at each device location, has proven inefficient, poses risks to data integrity, and causes version inconsistencies across devices. Using commercial Mobile Device Management (MDM) platforms as an alternative also introduces vendor dependency and high recurring license costs. This research aims to develop and implement an independent (in-house) Over-The-Air (OTA) Update system based on REST API to automate the centralized and remote distribution and installation of Android application updates. The system was developed using the Research and Development (R&D) method with the Waterfall model, implemented using Go (Golang) for the REST API backend with a MySQL database running on the XAMPP web server, Kotlin with the PackageInstaller API for the Android client on Telpo T10 devices, and the Vuetify framework for the monitoring dashboard. Functional testing using the Black Box Testing method across 19 test scenarios covering device registration, startup-triggered update checking, version validation, APK package download, download-failure and installation-failure handling with recovery, and automatic installation yielded a 100% success rate. Comparative analysis demonstrated that the OTA system successfully reduced the average update time per device from 16 minutes (manual) to approximately 1.2 minutes (automatic), equivalent to a 92.5% efficiency improvement, while eliminating technician travel costs. The system also demonstrated the ability to maintain transaction data integrity during updates and centrally log all update activities in the database, confirming its readiness for deployment in large-scale public transportation environments.
Implementasi Support Vector Machine untuk Klasifikasi Laporan Gangguan Layanan Pelanggan Korporat Syahrul Ramadhan; Heri Suroyo
TIN: Terapan Informatika Nusantara Vol 6 No 12 (2026): May 2026
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/tin.v6i12.9704

Abstract

This study aims to develop a classification model based on Support Vector Machine (SVM) to identify and categorize service completion levels of corporate customer service disruptions at PT. Telkom Indonesia, South Sumatra Telecommunication Region. Research data was obtained directly from the Helpdesk Assurance CCAN Unit during the period of October 2023 to January 2024, comprising a total of 854 entries. The target variable used is the service completion level, while the feature variables include service type, repair type, and work duration. The entire research process follows the Cross Industry Standard Process for Data Mining (CRISP-DM) framework, covering business understanding, data understanding, data preparation, modeling, evaluation, and deployment stages. Data preparation included feature selection, label encoding, scale normalization, and an 80:20 data split. The model was built using SVM with a linear kernel and active probability configuration. Evaluation results demonstrate an accuracy of 98.25%, a log loss value of 0.0200, and a perfect Area Under Curve value of 1.00 for all classes. The work duration variable proved to be the most influential factor with a correlation value of 0.91 against the target variable. The resulting model has been saved in binary file format, making it ready for practical implementation in real operational environments.
Perancangan Aplikasi Absensi Karyawan Menggunakan Geolocation dan Metode Agile Scrum Berbasis Android Raditia Vindua; Eka Yuni Titik Artaningsih; Adam Muiz
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.v7i1.9739

Abstract

Employee attendance is an important factor in enforcing discipline, which is directly related to improving company productivity. In the digital era, companies are required to have an attendance system that is efficient, accurate, and capable of minimizing potential fraud. The manual attendance method currently used has several weaknesses, such as being vulnerable to data manipulation, difficult to verify due to the absence of accurate attendance evidence, and time-consuming in the recapitulation process. This condition becomes a challenge for construction companies engaged in infrastructure development, particularly in the gas and oil sector, because most employees work in the field. This study aims to develop an Android-based attendance system supported by geolocation technology to assist the process of recording employee attendance in real time and based on location. The system was developed using Java-based Android programming and MySQL as the database, with the Agile Scrum development method carried out gradually through planning, sprint, evaluation, and system refinement stages. The geolocation feature is used to record the latitude and longitude coordinates of employees when performing attendance, allowing attendance data to be verified by management. The testing results show that the system increased the efficiency of the attendance recapitulation process by 75%, from an average of 20 minutes manually to 5 minutes using the system. In addition, the location accuracy testing showed a coordinate suitability level of 92% based on a comparison between the attendance location points and the predetermined work locations. The black-box testing results also showed that all main system functions, including login, clock-in attendance, clock-out attendance, location validation, and data recapitulation, operated with a 100% success rate. Therefore, the Android-based attendance system with geolocation can help improve the efficiency of attendance management, reduce the potential for data manipulation, and support more effective human resource management.
Analisis Persepsi Kemudahan dengan Penggunaan Catatan Medis Berbasis Elektronik (RME) pada Rumah Sakit Menggunakan Pendekatan Technology Acceptance Model (TAM) Petra Sunggul Morenfino; Hosizah Markam; Mieke Nuermalasari; Witri Zuama Qomarania
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.v7i1.9746

Abstract

The purpose of this study was to analyze the relationship between perceived ease of use and the use of Electronic Medical Records (EMR) through the Technology Acceptance Model (TAM) approach. This study was conducted in July 2025 at RSUP Fatmawati using a quantitative approach with a cross-sectional design. The research sample involved 104 healthcare workers who utilized Electronic Medical Records (EMR). The sampling technique applied was random sampling using the Simple Random Sampling method. Data were collected through a questionnaire using a 1–4 Likert scale.The results indicated that the level of Electronic Medical Record (EMR) usage at Fatmawati General Hospital was categorized as high (index 91.13), showing that healthcare workers had routinely used EMR in daily services and had a high level of familiarity (90.16). Perceived ease of use was also in the high category (82.62), where the system was considered easy to learn, operate, and supportive of work effectiveness. Although the level of RME use is generally in the high category, initial observations indicate that there are still some health workers who experience difficulties in understanding and operating the system optimally. The Spearman Rank test results indicated a positive, significant, and strong relationship between perceived ease of use and EMR usage (r = 0.706; p < 0.05). This implies that the higher the perceived ease of use, the higher the EMR usage, making ease of use a crucial factor in the successful implementation of the system. It is recommended that hospitals continuously improve the quality of the EMR system to remain user-friendly, accompanied by regular training and adequate technical support. These efforts are expected to enhance healthcare workers’ perceived ease of use, thereby making EMR utilization more effective. The contribution of this study is to provide empirical evidence regarding the importance of perceived ease of use as a crucial factor influencing the utilization of Electronic Medical Records (EMRs) in a government hospital serving as a national referral center. The findings of this research are expected to serve as a reference for hospital decision-makers in improving system interface quality, enhancing user training, and developing implementation approaches for Electronic Medical Records (EMRs) that are focused on the needs of healthcare professionals.

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