Jurnal Informatika Dan Tekonologi Komputer (JITEK)
Journal Title: Jurnal Informatika dan Teknologi Komputer Initials: JITEK Frequency: Maret, Juli dan November Print ISSN: 2809-9249 Online ISSN: 2809-9230 Editor in Chief: Dr. Dyah Palupiningtyas., SE., MSi DOI: 10.55606/jitek.v1i1 Publisher: Pusat Riset dan Inovasi Nasional Jurnal Informatika dan Teknologi Komputer (JITEK), dan P-ISSN:2809-9249 (Cetak) dan E-ISSN:2809-9230 (Online). Jurnal JITEK diterbitkan Pusat Riset dan Inovasi Nasional, terbit setahun Tiga kali (Maret, Juli dan November) menerapkan proses peer-review dalam memilih artikel berkualitas berdasarkan penelitian ilmiah dan teoritis.Jurnal ini terakreditasi SINTA 4 (Surat Keputusan Direktur Jenderal Pendidikan Tinggi, Riset, dan Teknologi Nomor 10/C/C3/DT.05.00/2025 tanggal 21 Maret 2025 tentang Peringkat Akreditasi Jurnal Ilmiah Periode I Tahun 2025) dimulai dari Volume 2 Nomor 2 Tahun 2022 sampai Volume 7 Nomor 1 Tahun 2027. JITEK diterbitkan untuk mengembangkan dan memperkaya diskusi ilmiah bagi para sarjana dan penulis yang menaruh minat pada isu-isu Teknologi dan penerapannya. Redaksi menerima artikel berbasis teori dan penelitian. Cakupan keilmuan Jurnal ini mengenai penelitian Rekayasa Sistem, Teknik Informatika/Teknologi Informasi, Manajemen Informatika dan Sistem Informasi. Indexed by : Journal Sponsors and Partners :
Perancangan Sistem Deteksi Banjir Berbasis IoT Untuk Peringatan Dini dengan Sistem Integrasi Web
This study presents the development of an Internet of Things (IoT)-based flood detection and early warning system designed to improve the accuracy and response time of conventional flood monitoring methods. The system integrates a water level sensor and ESP32-CAM module, managed by an ESP32-WROVER microcontroller, to monitor water levels in real time. Data is transmitted wirelessly and visualized on a web platform built with PHP and MySQL. When water levels exceed a predefined threshold, the system automatically sends alerts via the Telegram messaging app. Testing shows high precision with a margin of error under 0.3 cm and notification delivery within three seconds. The system’s ability to combine numerical data and live imagery enhances situational awareness and accessibility. Overall, the solution offers an efficient and innovative approach to flood risk mitigation using IoT technology.
Copyright (c) 2025 Jurnal Informatika Dan Tekonologi Komputer (JITEK) https://creativecommons.org/licenses/by-sa/4.0
Prototype Sistem Penilaian Kinerja Karyawan Berbasis Web dengan Metode Behaviorally Anchored Rating Scale (BARS) untuk Peningkatan Objektivitas dan Transparansi
This study develops a web-based employee performance evaluation prototype using the Behaviorally Anchored Rating Scale (BARS) method in higher education institutions. The system reduces evaluator subjectivity through behavior-specific indicators and weighted scoring. Rapid Application Development (RAD) was applied, supported by continuous stakeholder feedback. Reliability testing of the questionnaire showed a Cronbach’s Alpha of 0.850, indicating strong consistency. Core features include behavior indicator management, evaluation visualization, and weighted score calculation. Findings show the system enhances objectivity, transparency, and accountability in performance appraisal.
Prototipe Aplikasi Mobile SmartKuliner untuk Promosi dan Edukasi Produk UMKM Kuliner Kreatif dengan Pendekatan Cross-Platform
The culinary creative sector within Micro, Small, and Medium Enterprises (MSMEs) plays a vital role in supporting the local economy, yet its development is constrained by limited digital marketing and insufficient product education. This research introduces SmartKuliner, a cross-platform mobile application prototype intended to strengthen digital promotion and consumer learning for culinary MSMEs. Developed using the Research and Development (R&D) method with a prototyping approach, the application features interactive multimedia such as product catalogs, educational materials, and branding support. Usability evaluation through the System Usability Scale (SUS) confirmed its practicality and ease of use. The results show that SmartKuliner provides MSMEs with an accessible tool to expand market opportunities and enhance product knowledge.
Sistem Pendukung Keputusan Rekomendasi Organisasi Untuk Mahasiswa di Universitas Bina Darma Menggunakan Metode Simple Additive Weighting (SAW)
This research was conducted to develop a web-based Decision Support System (DSS) to provide student organization recommendations at Universitas Bina Darma. The Simple Additive Weighting (SAW) method was used to evaluate compatibility based on students’ interests, talents, and preferences. The K-Nearest Neighbor (KNN) algorithm was applied to classify the SAW score results in order to determine the final recommendation. In line with its domain, the system was developed using an Agile Feature-Driven Development (FDD) approach in a gradual and iterative manner, utilizing the Laravel 12 framework. The research results showed that the system was capable of accurately recommending Student Activity Units (UKM) for first- to fourthsemester students. The recommendation process was carried out by combining the SAW method to obtain the top three UKM and the KNN algorithm for final classification when students chose to participate in only one UKM that best matched their historical answer patterns.
Penerapan Metode Agile Development dalam Rancang Bangun Single Sign-On pada Sistem Informasi Akademik
In today's digital era, educational institutions face challenges in managing various academic information systems that require separate authentication for users. This often causes difficulties in accessing various applications with different logins. This study aims to develop and implement Single Sign-On in the academic information system of SMP Dharma Bhakti Palembang using the Agile Development method. Agile Development was chosen because of its iterative approach that allows flexibility in system development and improvement based on user feedback. System testing was conducted using the Black Box Testing method, which focuses on testing system functionality based on input and output without considering the internal structure of the code. This testing includes user authentication validation and SSO integration with various academic applications. The results of the study indicate that the implementation of SSO can simplify the user authentication process and reduce the risk of login errors. Thus, this study provides an innovative solution that can be a reference for other educational institutions in developing more integrated academic information systems.
Pengembangan Sistem Internet Of Things (IoT) Untuk Pengendalian Suhu dan Kelembaban Sarang Burung Walet Dengan Penyiram Air Otomatis
This study focuses on the design and implementation of an Internet of Things (IoT)-based automated system for controlling temperature and humidity in swallow houses. The object of the study is a prototype swallow house that functions to simulate the natural environmental conditions in swallow breeding buildings. The main problem in this research is the instability of temperature and humidity, which affects the comfort and productivity of swiftlets, as well as the management process, which is still carried out manually and inefficiently. The purpose of this research is to design a system that can monitor and control temperature and humidity automatically and in real-time to create an ideal environment for swiftlets. This system uses a DS18B20 temperature sensor and a DHT22 humidity sensor connected to an ESP32 microcontroller and controlled through a web-based interface. In addition, the system is equipped with a DFPlayer Mini module to play swallow call sounds and a notification feature through the Telegram application. Test results show that the system can respond accurately to changes in temperature and humidity, perform automatic watering when conditions are not ideal, and play swift sounds according to a schedule. The system also successfully displays data in real-time and sends notifications to users. In conclusion, this system has proven effective in automating swift house environment management, improving efficiency, and has the potential to increase swift nest production.
Perancangan Alat Deteksi Kebakaran Berbasis IoT dengan Evaluasi Precision-Recall dan End-To-End Delay
Fires are disasters that can occur suddenly and cause significant losses to both human lives and property. Conventional detection systems are generally limited to smoke or temperature alarms, making them less accurate and often slow in providing warnings. This study aims to design and implement an Internet of Things (IoT)-based fire detection system capable of providing real-time early fire warnings. The system employs an ESP32 microcontroller connected to a DHT22 sensor to measure temperature and humidity, an MQ-2 sensor for flammable gas detection, and a flame sensor for direct flame detection. Sensor data are transmitted to the Firebase Real-time Database and forwarded as automatic notifications via the Telegram application. Testing was conducted on 400 data samples covering both fire and non-fire conditions, with performance evaluation using Precision, Recall, Accuracy metrics, and End-to-End Delay measurement. The results show an accuracy of 91%, precision of 88.55%, recall of 93.19%, and an average notification delivery delay of 2.804 seconds. These findings indicate that the system can detect fires effectively and responsively on a small scale, with potential for further development through additional sensors and testing in more complex environments.
Pengembangan Sistem Pendaftaran dan Pengelolahan Laporan Magang di Kominfo Kota Palembang Berbasis Website Menggunakan Next Js dan Express
This study aims to develop a web-based information system for internship registration and report management at the Palembang City Communication and Informatics Office. Previous studies have developed internship information systems that generally focus on online registration, document submission, certificate generation, academic administration, and notification features. However, existing systems typically do not include secure account verification, structured daily logbook monitoring, or integrated role-based data management tailored for government institutions. These limitations create a gap that this study addresses by developing a more comprehensive and transparent internship management solution. A descriptive qualitative approach was used through interviews and observations, and a prototyping model guided the system development process. The system was built using Next.js, Express.js, MongoDB, JSON Web Token (JWT), Nodemailer, and Tailwind CSS, with features such as online registration, document upload, account verification, daily logbook submission, final report upload, and role-based access for admins and supervisors. Implementation results show improvements in administrative speed, communication, data accuracy, and transparency compared to manual processes. Overall, the system supports a more modern, efficient, and structured internship management process within government institutions.
Pendekatan DCT untuk Evaluasi Robustness dan Imperceptibility pada Watermarking Citra JPEG
Digital watermarking is important for copyright protection, but challenges remain in maintaining a balance between imperceptibility and robustness. This study evaluated Discrete Cosine Transform (DCT)-based watermarking on JPEG images by inserting binary watermarks at the intermediate frequency coefficient of the DCT block 8×8. The method was tested against JPEG compression, Gaussian noise, Gaussian blur, and Salt & Pepper noise to assess the visual quality and durability of the watermark. The results show high visual quality with an average PSNR of 39.99 dB and a SSIM of 0.96, so the watermark is almost imperceptible. Robustness testing yielded a BER of 1.5% on Gaussian noise, 5.2% on JPEG compression, and 8.2% on Salt & Pepper noise. These findings prove that the DCT method is able to maintain image quality and maintain a watermark on most interferences, despite degrading performance in impulse attacks and aggressive compression. In practical terms, this approach can be applied to digital image protection systems and forms the basis for the development of more robust hybrid or adaptive methods in the future.
Pompa Otomatis dan Monitoring Kekeruhan Tempat Penampungan Air
This research aims to design and develop an Internet of Things (IoT)-based automatic water pump monitoring and control system. The system utilizes an ESP32 microcontroller connected to an ultrasonic sensor to measure water level and a turbidity sensor to detect water clarity. The pump is automatically activated when the water level drops below a specified threshold and deactivated when the tank is full. Furthermore, when the turbidity value exceeds a certain limit (e.g., >40 NTU), the system sends notifications to the user via the Blynk application. In addition, notifications are also sent through a Telegram bot, allowing users to receive alerts instantly without needing to open the Blynk app. Key data such as water level distance, NTU value, pump status, and water condition are displayed locally on a 16x2 LCD and remotely on the Blynk dashboard.System testing was conducted using samples of clean water, tea, and milk coffee to represent varying levels of turbidity. The results showed that the system effectively detected different turbidity levels and automatically controlled the pump based on the water level. This system offers an efficient real-time solution for monitoring water quality and can be applied in places such as Islamic schools (TPQ), educational institutions, or households.
Sistem Informasi Revervasi Pelatihan dan Simulasi Berbasis Web pada Damkar Kota Surakarta
The Surakarta City Fire Department has a major responsibility in firefighting and rescue operations. Currently, the process of managing training and simulation requests is still carried out manually, often through official correspondence. This manual approach leads to various issues such as disorganized data management, the potential for overlapping or missed schedules, errors in recording dates, insufficient communication between officers, and difficulties in managing training history and evaluation results.This study aims to design and develop a web-based information system for managing training and simulation requests to address these challenges. The system is expected to simplify the management of reservation requests, minimize scheduling errors, and improve transparency and accountability. The system development method used is Rapid Application Development (RAD), which includes the following stages: requirements planning, user design, construction, and cutover. Data were collected through direct observation at the Surakarta City Fire Department, interviews with the Head of the Department and the Department Secretary, and literature studies. The system will be developed using the PHP programming language and the Laravel framework, with a MySQL database. With this system, the Surakarta City Fire Department is expected to improve the efficiency and effectiveness of training and simulation management at the department.
Penerapan Algoritma Logistic Regression Untuk Memprediksi Penyakit Jantung
Heart disease is one of the leading causes of death worldwide, including in Indonesia. Early detection of heart disease risk is crucial to prevent more severe complications and improve patients' quality of life. This study aims to apply the Logistic Regression algorithm to build a data-driven heart disease prediction model. The dataset used is from Kaggle, with 1,025 patient data and 14 attributes covering risk factors such as age, gender, blood pressure, cholesterol, maximum heart rate, and others. The research process was conducted using the CRISP-DM approach, which includes business understanding, data exploration, preprocessing, modeling, evaluation, and model testing. The preprocessing stage includes data cleaning, encoding categorical variables, standardizing numeric data, and dividing the data into training and test data. The model was developed using the Python programming language and the scikit-learn library, then evaluated using metrics such as accuracy, precision, recall, F1-score, confusion matrix, and ROC-AUC. The evaluation results showed that the Logistic Regression model was able to provide good prediction results, with an accuracy of 0.93, a precision of 0.93, a recall of 0.96, and an F1-score of 0.95. With this performance, this model can be used as a tool for medical personnel in early detection of heart disease risk and supporting more effective and efficient decision-making.
Sistem Informasi Pengelolaan Inspeksi Berbasis Web Pada Dinas Pemadam Kebakaran Kota Surakarta
The manual management of fire protection inspection data at the Surakarta City Fire Department has caused delays and errors in recording, thus impacting the effectiveness of risk mitigation. This study aims to address these problems by designing and building a web-based inspection management information system. This research adopts the Rapid Application Development (RAD) method, with data gathered through observation, literature review, and interviews. The system was built using PHP, the Laravel framework, and a MySQL database. It enables officers to record inspection data digitally, manage archives automatically, and produce reports that are easily accessible to management. The implementation has proven effective in enhancing efficiency, speeding up the reporting process, and improving data accuracy and security to support better decision-making.
Rancang Bangun Sistem Peminjaman Kendaraan Dinas Berbasis Web Studi Kasus pada Balai Besar Standardisasi dan Pelayanan Jasa Pencegahan Pencemaran Industri (BBSPJPPI) Kota Semarang
Official vehicles are crucial assets in ensuring the effectiveness and efficiency of government institutions. However, manual borrowing systems often cause problems such as inaccurate records, overlapping schedules, tracking difficulties, and limited transparency. Similar issues occur at the Industrial Pollution Prevention Standardization and Service Center (BBSPJPPI) Semarang, which still relies on Google Forms for vehicle borrowing, leading to suboptimal monitoring and weak data integration. This study develops a web-based vehicle borrowing information system using the Research and Development (R&D) method. The system provides integrated features including schedule management, vehicle availability tracking, borrower information, and usage history. The implementation of this system is expected to improve administrative efficiency, enhance data accuracy, and strengthen transparency in asset management, thereby enabling institutional operations to run more effectively, accountably, and in a more organized manner.
Sistem Rekomendasi Musik Berdasarkan Playlist dengan Collaborative Filtering
Modern music streaming platforms offer millions of songs, creating a challenge for users in discovering content that matches their tastes. This research addresses this problem by designing a music recommendation system using a Hybrid Collaborative Filtering approach. This method combines the strengths of Item-Based (track similarity) and User-Based (playlist similarity) filtering for higher accuracy. Utilizing 100,000 playlists from Spotify's Million Playlist Dataset (MPD), the system was developed through data preprocessing, cosine similarity calculation, and weighted score combination. The evaluation was designed using metrics like Precision@K and Hit Ratio. The results demonstrate that the hybrid model can provide thematically relevant song recommendations based on an input playlist, proving its effectiveness in personalizing the music discovery experience for users.
Penerapan Metode Klasifikasi dan Seleksi Fitur untuk Meprediksi Minat Studi dan Karir Siswa
Every year, vocational high schools in Kudus Regency produce competitive graduates in the national and international job markets, because vocational high school graduates must be equipped with technical skills and soft skills. However, students face a dilemma in determining the next step in choosing a study interest or career. In addition, several factors influence student interests, one of which is family beckground, so that students who were initially sure will become unsure of their interests. Therefore, the purpose of this study is to classify student interests. The use of classification methods with the naïve bayes algorithm and feature selection with forward selection was chosen in this study. Classification model testing was carried out three times with a comparison of training data and test data (90:10, 80:20, and 70:30), where the results obtained had an average accuracy value of 72.85%, an averagr precision velue of 77.75%, and an average recall value of 86.43%. the classification results are continued with the application of forward selection to find influential attributes, and the results of feature selection show that major attribute, achievement attributes, and mathematics value attributes have an influence on student interest.
Sistem Informasi Digitalisasi Laporan Kegiatan Pasukan Damkar Surakarta Berbasis Web
The Surakarta Fire Department faces challenges in manually recording team activities, leading to delays in validation, data inconsistency, and difficulties in analysis. To address these issues, this study designed a web-based information system to digitize personnel activity reporting. The system was developed using the Rapid Application Development (RAD) method with the Laravel framework and MySQL database. Data collection methods included interviews, observation, and literature study. The system supports four levels of users with different access rights: Personnel, Team Leader, Platoon Commander, and Division Head. Through this system, reporting can be conducted online with step-by-step validation and PDF report output. Initial testing showed that the system successfully accelerated the reporting process, reduced data errors, improved efficiency, and supported decision-making within the Surakarta Fire Department.
Rancang Bangun Aplikasi PPDB Berbasis Laravel pada SMK Darun Nadwah As-Salam
The development of information technology has had a significant impact on various sectors, including education. One of its implementations is the application of a web-based New Student Admission (PPDB) system to improve the efficiency and accuracy of the registration process. SMK Darun Nadwah As-Salam has previously used a manual system with paper forms, which often causes delays and data recording errors. This condition encourages the need to develop a more effective and integrated web-based PPDB system. This study applies the Software Development Life Cycle (SDLC) Waterfall model, which consists of requirement analysis, system design, implementation, testing, and maintenance stages. The application was developed using the Laravel framework, PHP programming language, and MySQL database, with Visual Studio Code as the editor and Laragon as the local server. Data were collected through observation, interviews, and documentation. The results show that the web-based PPDB application can simplify the registration process, reduce input errors, and speed up data processing for prospective students. Moreover, the system can be accessed online, allowing applicants to register without visiting the school in person. In conclusion, the implementation of a web-based PPDB application at SMK Darun Nadwah As-Salam can improve the efficiency, accuracy, and transparency of the new student admission process, while supporting digital transformation in education.
Implementasi Transfer Learning dengan Arsitektur Mo-bileNetV2 untuk Klasifikasi Penyakit pada Daun Padi
Rice is a strategic commodity in Indonesia, yet its productivity is often threatened by leaf diseases such as Bacterial Leaf Blight, Brown Spot, Narrow Brown Spot, and Tungro. Conventional identification conducted by farmers is subjective and may delay proper treatment. This study implements transfer learning using the MobileNetV2 architecture for rice leaf disease classification. The dataset was collected directly from rice fields in OKU Timur, South Sumatra, consisting of five classes (Bacterial Leaf Blight, Brown Spot, Healthy, Narrow Brown Spot, and Tungro), each containing 300 images except Narrow Brown Spot, which was balanced through light augmentation. All images underwent cropping, resizing to 224×224 pixels, and normalization before being split into training, validation, and testing sets. The proposed model achieved 99.11% validation accuracy and 100% testing accuracy, with near-perfect precision, recall, and f1-score. The model was then deployed into a user-friendly web application using Streamlit, enabling farmers to upload rice leaf images for instant classification and recommended treatments. These findings demonstrate that MobileNetV2 with transfer learning provides accurate early detection of rice leaf diseases and supports better decision-making in rice cultivation.
Perancangan Perangkat Lunak Kehadiran Siswa Berbasis Smart QR Card di SMK Muhammadiyah 2 Palembang
In today's digital era, educational institutions require an information system that can facilitate the process of serving and managing student data quickly and efficiently. SMK Muhammadiyah 2 Palembang still manages student attendance data conventionally, thus requiring a web-based computerized system. This study aims to design and develop a web-based student attendance application using the Laravel framework and Smart QR Card technology. System development was carried out using the Agile Development method. This method allows the development of a system that is adaptive to user needs. The results of this study are a student attendance web application that can assist the process of attendance data collection, monitoring student attendance, managing class schedules, and attendance reports. System testing was carried out using the Blackbox Testing method to ensure functionality runs according to requirements. With this application, it is expected that the process of recording student attendance data at SMK Muhammadiyah 2 Palembang will be faster and more accurate.
Perbandingan Naïve Bayes dan Logistic Regression untuk Analisis Sentimen Ulasan Produk Skincare di Tokopedia
This study aims to compare the performance of Naïve Bayes (NB) and Logistic Regression (LR) in classifying the sentiment of skincare product reviews on Tokopedia. A total of 973 reviews were collected and processed through text preprocessing and feature extraction using TF-IDF. Evaluation using accuracy, precision, recall, and F1-score showed that NB achieved an accuracy of 75.9% but struggled to detect negative sentiment , while LR reached an accuracy of 92.3% with a more balanced classification. It is concluded that Logistic Regression is superior and more suitable for complex e-commerce review datasets, offering practical guidance for effective model selection
Perancangan Sistem Informasi Penelitian Pengabdian BIMA Internal LPPM UWHS
SIPPMASBIMA UWHS stands for Sistem Informasi Internal Penelitian Pengabdian BIMA Internal UWHS (Internal Information System for Research and Community Service of UWHS), which is designed as a system architecture for uploading research and community service data. The urgency of this research lies in the fact that the previous system used for managing research and community service data at the UWHS LPPM had limitations in data uploading, and lecturers were not accustomed to the system used by the Ministry of Education, Culture, Research, and Technology (Kemendikbudristek). Therefore, the objective of this research is to develop a new system that is more integrated and user-friendly, with an interface and methods resembling the BIMA system of Kemendikbudristek, to support lecturers in adapting their data input practices in accordance with the ministry’s system. The method applied is Agile Development, ensuring flexibility in feature development based on user needs. The targeted outcomes include an information system, a journal publication (at least Sinta 4), and a system prototype.
Penerapan Teknik Clustering untuk Analisis Pemerataan Angkutan Umum di Kabupaten Bogor
This research analyzes the distribution of public transport services from AKDP and AKDK units in 40 sub-districts in Bogor Regency, an area with rapid population growth that faces congestion due to dependence on private vehicles. The main problem is that service gaps have not been mapped quantitatively, so the aim of this research is to apply clustering techniques to identify underserved areas and provide an objective basis for data-based policy recommendations. The proposed method is a quantitative approach using the K-Means Clustering algorithm on secondary datasets from the Department of Transportation with three main features: number of licensed fleets, number of unlicensed fleets, and total fleet. The main findings succeeded in classifying sub-districts into three clusters, Cluster 0 (established services), Cluster 1 (static growth), and Cluster 2 (significant service gaps dominated by informal fleets). In conclusion, this research proves the existence of significant service disparities, and shows that the clustering method is effective in mapping priority zones for more equitable transportation policy interventions.
Implementasi Metode Seleksi Fitur Untuk Penentuan Indikator pada Klasifikasi Kompetensi Pemetaan Kuadran 9 di Pemprov Jateng
Quadrant 9 (nine) is a model of employee competency mapping which will be used as a strategy for developing talented individuals and individuals who have weaknesses. In addition, quadrant 9 (nine) is also used in succession planning by identifying anyone who has the potential to become a leader in the organization. This study aims to obtain a data mining algorithm with a more accurate selection feature to find indicators that affect the classification of quadrant 9 competencies. The Forward Selection feature selection algorithm based on Naive Bayes is proven to be accurate and effective in determining the most influential attributes, namely IQ/Thinking Capacity, Self-Management, Social Communication, Service Orientation, Decision Making, Managing Others with 79.10% accuracy results and is included in the "Good Kappa" category.
Visualisasi Data Pelayanan Dinas Kependudukan dan Pencatatan Sipil Kabupaten Ogan Ilir Menggunakan Dashboard Interaktif
The Department of Population and Civil Registration of Ogan Ilir Regency faces challenges in managing service data due to non-integrated systems and manual reporting processes. These conditions hinder effective performance evaluation and increase the risk of inaccurate data recording. This study aims to develop an interactive service data visualization dashboard using Microsoft Power BI to support real-time monitoring and improve the clarity of service information. The dashboard development follows the ADDIE model up to the development stage to ensure alignment with user needs. The dataset used consists of 8,190 validated service records from the year 2024. The resulting dashboard displays key indicators, including total services, service divisions, service types, monthly trends, and interactive filters. The main contribution of this study lies in providing a structured and integrated visualization model that enhances service transparency and enables faster, data-driven decision-making within government agencies.