JURNAL ILMIAH INFORMATIKA

Sistem Informasi Manajemen Payroll Dengan Role-Based Access Control Studi Kasus PT SwabinaGatra

Marist Zaimah, Putri Aisyiyah Rakhma Devi — Fri, 25 Sep 2026 00:00:00 +0000

Manual management of employee data and Payroll processing in medium-scale companies is prone to delays, input errors, difficulty in error tracing, and weak authorization control between work units. This study aims to design and implement a web-based employee data management and Payroll processing information system that applies Role-Based Access Control for five user roles (Admin, Billing, Accounting) along with an audit trail mechanism to support verification of salary transfer proof. The system was developed using the Waterfall model covering requirements analysis, database and interface design, implementation, and testing. A case study was conducted at PT Swabina Gatra with main modules covering employee data management, access-right configuration, salary data import from Excel files, data grouping project and per bank, bank column-mapping template creation, payment data export, payment-stage locking, unlock request submission, and user activity history logging. Functional testing using the Black Box Testing method on 15 scenarios showed that all main functions worked according to specification. The results show that RBAC consistently restricts menu access according to user roles, while the audit trail feature improves the traceability of every data change so that the verification of bank transfer proof becomes more accurate, transparent, and accountable compared to the previous manual process.

Implementasi Sistem Pemantauan Suhu dan Kelembaban Udara Berbasis IoT Menggunakan Raspberry Pi

Dastin Dastin, Tamsir Ariyadi — Fri, 25 Sep 2026 00:00:00 +0000

This study aims to design and implement an Internet of Things (IoT)-based temperature and humidity monitoring system using a Raspberry Pi 3 B+ and a DHT22 sensor. The system was developed to support automatic monitoring of room environmental conditions, especially in areas that require temperature and humidity control within predetermined limits. The Raspberry Pi functions as the main data processing unit, while the DHT22 sensor is used to measure temperature and humidity. The measurement results are automatically sent through Telegram so that users can monitor room conditions in real time without performing manual checks. In addition, the system is equipped with a warning notification mechanism when the room temperature is below 16 °C or above 36 °C.The research method used in this study includes system design, implementation, and testing. The testing process was conducted to determine the system’s ability to read sensor data, send automatic reports, and provide notifications when the temperature falls outside the specified range. The test results show that the system is able to operate according to the designed specifications. The system can detect changes in temperature and humidity properly and send warning notifications through Telegram automatically. Therefore, this system can be used as an effective, responsive, and easily accessible solution for room environmental monitoring.

Pembuatan Website Penjualan Dan Informasi Produk Kecantikan Glowgirl Untuk Perempuan Generasi Z (Studi Kasus: Rins Cosmetics)

Bias Ayu Berna Dita, Handoko Handoko — Fri, 25 Sep 2026 00:00:00 +0000

The development of the GlowGirl Beauty Product Sales Website for Generation Z (Case Study: Rins Cosmetics) aims to design and develop a digital marketing platform that supports the online sales of skincare and makeup products. The system is developed to facilitate consumers, particularly Generation Z women, in purchasing beauty products conveniently and efficiently. The development method used is the Software Development Life Cycle (SDLC), which consists of requirements analysis, system design, implementation, and system testing. The website was developed using PHP as the programming language and MySQL as the database management system. The main features include product catalogs, user management, shopping cart functionality, and sales transaction management. The results indicate that the GlowGirl website supports the online sales process, facilitates users in selecting and purchasing products, and helps Rins Cosmetics expand its marketing reach. User Acceptance Testing (UAT) involving 10 respondents obtained an average score of 4.33, with a satisfaction level of 86.6%, indicating that the system was well accepted by users. Therefore, the GlowGirl website effectively supports beauty product sales and marketing activities

Perancangan Sistem Monitoring Service Record Laundry Machine Berbasis Web Menggunakan Metode Rapid Application Development

Ginola Akbar, Elbert Hutabri — Fri, 25 Sep 2026 00:00:00 +0000

Zi Laundry Express, a laundry service company located in Batam City, currently records washing machine maintenance activities manually. This manual approach makes it difficult to organize and monitor maintenance histories, service schedules, spare part usage, and maintenance expenses effectively. In addition, the lack of an integrated information system limits the company's ability to monitor machine conditions efficiently, which can negatively impact operational performance. This study focuses on creating and implementing a web-based solution to these problems of Laundry Machine Service Record Monitoring System that enables systematic and well-documented maintenance management. The Rapid Application Development (RAD) approach, which consists of the Requirements Planning, User Design, Construction, and Cutover phases, was used to construct the system. Laravel was utilized as the backend framework, MySQL served as the database management system, and Bootstrap was employed to create the user interface. The resulting application incorporates various features, including user authentication, machine and spare part management, maintenance ticket management, service record documentation, maintenance scheduling, a monitoring dashboard, user administration, and maintenance report generation. To ensure that the system met all specified functional requirements, Black Box Testing was conducted as the primary validation method. The findings demonstrate that the proposed system enhances the maintenance management process by providing a more organized recording mechanism, improving the monitoring of machine conditions, centralizing maintenance history and spare part usage data, and enabling accurate and efficient maintenance reporting. All system functions perform as planned, according to the Black Box Testing results, indicating that the application is appropriate for implementation as a maintenance monitoring solution for Zi Laundry Express

Pengembangan Game Edukasi Mahameru Saga Berbasis Legenda Mahameru sebagai Media Pembelajaran Mitigasi Bencana Erupsi Gunung Semeru

Fri, 25 Sep 2026 00:00:00 +0000

Disaster mitigation learning in schools is often delivered conventionally, making it less engaging and less than optimal in improving students' disaster literacy in eruption-prone areas. This study aims to analyze the feasibility of the Mahameru Saga educational game, an Android-based 3D adventure learning media that integrates local wisdom of the Mahameru legend and disaster mitigation material for the eruption of Mount Semeru. Using the ADDIE development model limited to the Development stage, product development involved field data collection from the Lumajang Regional Disaster Management Agency (BPBD), the Center for Volcanology and Geophysics (PVMBG), and feasibility testing by experts. The data collection instrument used an expert validation questionnaire that was analyzed descriptively quantitatively. The validation results showed that the Mahameru Saga game obtained a feasibility percentage of 93.5% from material experts and 90.71% from design and visual experts, both of which are included in the very feasible category. The integration of local cultural narratives, the accuracy of volcanology material, immersive audio, and intuitive interface design make this game valid and worthy of use as an innovative medium to improve students' disaster mitigation literacy.

Rancang Bangun Sistem Informasi Bidang Kemahasiswaan Institut Sosial Dan Teknologi Widuri Jakarta

Nanda Fauzy, Nur Nawaningtyas Pusparini, Nanda Kharisma, Samuel Samuel — Fri, 25 Sep 2026 00:00:00 +0000

The submission of student activity proposals at the Institut Sosial dan Teknologi Widuri Jakarta has traditionally been carried out manually through physical document submission and conventional verification by the student affairs department. This process frequently caused delays, document loss, and a lack of transparency in monitoring proposal status. To address these issues, this study designed and developed a web-based student affairs information system that allows students to submit activity proposals digitally, while enabling campus staff to perform verification, approval, and archiving processes online. The system was developed using the Waterfall method, encompassing requirements analysis, system design with UML modeling (including use case, activity, and class diagrams), system implementation using PHP and MySQL, and testing through the Blackbox Testing method. Testing results confirmed that all core system functions including login, proposal submission, admin verification, and digital archiving operated properly with no errors. The system successfully improved the efficiency of the proposal submission process, accelerated information flow, and supported well-organized digital documentation. In conclusion, this system provides an effective solution for managing student activity proposals at Institut Sosial dan Teknologi Widuri. However, further development is recommended, particularly the addition of automatic notification features and a mobile application to enhance overall usability.

Analisis Tingkat Kepuasan Pengguna SIAKAD Menggunakan Metode Service Quality (SERVQUAL) di Institut Sosial dan Teknologi Widuri

Fri, 25 Sep 2026 00:00:00 +0000

Academic Information Systems (SIAKAD) play an important role in supporting the delivery of academic services within higher education institutions. The effectiveness of such systems is determined not only by their technological performance but also by users’ assessments of the services they experience. This research examines the satisfaction of students at Institut Sosial dan Teknologi Widuri with SIAKAD services by applying the Service Quality (SERVQUAL) model. The evaluation compares students’ actual service perceptions with their expected level of service across five dimensions: Tangibles, Reliability, Responsiveness, Assurance, and Empathy. Research data were obtained through questionnaires completed by students who had used the system. The collected responses were processed through validity and reliability tests, mean score calculations for perceptions and expectations, and gap analysis. The findings reveal positive gap scores in all five dimensions, indicating that the services provided were considered to have fulfilled students’ expectations. Assurance produced the largest gap score of 0,55, whereas Empathy recorded the smallest gap score of 0,22. These results can support institutional efforts to evaluate and enhance the quality of SIAKAD services

Rancang Bangun Sistem IoT untuk Palang Parkir Otomatis dan Deteksi Slot Parkir

Dimas Raihan Anugrah, Kemas Muhammad Wahyu Hidayat — Fri, 25 Sep 2026 00:00:00 +0000

Conventional parking systems are often inefficient, causing long vehicle queues and inadequate security due to error-prone manual recording. This study designs and builds an IoT-based automatic parking barrier system integrated with a parking slot detector to provide real-time information on slot availability. The prototype method was applied through literature study, hardware and software design, black-box testing, and evaluation. The system uses Arduino UNO as the controller, an ultrasonic sensor (HC-SR04) to detect vehicle distance, infrared (IR) sensors to detect occupied slots, a servo motor to operate the barrier, and an I2C 16x2 LCD to display slot information. Black-box testing shows that the barrier opens and closes correctly when a vehicle is detected, and the parking slot status is displayed accurately on the LCD. Overall validation testing confirms that all five main components (Arduino UNO, IR sensor, servo motor, LCD, and ultrasonic sensor) function properly, although the barrier-closing response takes approximately 10 seconds. The developed system is expected to improve the efficiency, convenience, and security of parking area management.

Implementasi Sistem Deteksi Bullying Berbasis YOLOv11 pada CCTV Sekolah dengan Dashboard Monitoring dan Notifikasi Telegram

Fri, 25 Sep 2026 00:00:00 +0000

Physical bullying in school environments often occurs spontaneously, making it difficult to monitor continuously using conventional Closed-Circuit Television (CCTV) systems. This study aims to implement SAFEYE-AI, a YOLOv11-based bullying detection system integrated with school CCTV, a Flask-based monitoring dashboard, and Telegram notifications. The research employs the AI Project Cycle framework, encompassing problem scoping, data acquisition, data exploration, modeling, evaluation, and deployment. The YOLOv11n model was trained using 3,771 images from school CCTV footage across 10 classes, comprising nine types of physical bullying actions and a student class. Training was conducted over 100 epochs using an NVIDIA RTX 4060 GPU. Evaluation results yielded a precision of 0.903, recall of 0.953, mAP@0.5 of 0.954, and mAP@0.5:0.95 of 0.686. Confidence threshold analysis identified an optimal value of 0.25, resulting in an F1-score of 0.929. Implementation on the CCTV infrastructure demonstrated the system's capability to process up to nine camera streams simultaneously. The system successfully detected kicking and fighting incidents within the school environment and transmitted incident information via Telegram. These results indicate that the integration of YOLOv11, a Flask dashboard, CCTV, and Telegram creates a bullying monitoring system that supports real-time detection and alerting in school environments.

Analisis Klasifikasi Tingkat Infeksi Saluran Pernapasan Akut di Puskesmas Setiabudi dengan Metode Random Forest

Intania Dharma Hartarti, Fuad Nur Hasan, Lestari Yusuf — Fri, 25 Sep 2026 00:00:00 +0000

Acute Respiratory Infection (ARI) is an infectious disease affecting the respiratory tract that requires appropriate treatment according to its severity. This study aims to implement the Random Forest algorithm to classify ARI severity based on patients' clinical symptoms at Setiabudi Community Health Center and evaluate its performance using K-Fold Cross Validation. The dataset consisted of 3,736 secondary medical records from 2025 with 14 variables, including 13 clinical features (age, respiratory rate, cough, runny nose, fever, sore throat, nausea and vomiting, diarrhea, contact with ARI patients, body aches, lump, history of asthma, and test results) and one target variable representing ARI severity (Mild ARI and Severe ARI). The research process included data preprocessing, data encoding, feature selection, Random Forest model development, and performance evaluation using Accuracy, Precision, Recall, F1-Score, Classification Report, and Confusion Matrix. Precision, Recall, and F1-Score were calculated using the weighted average method due to class imbalance. The model achieved an Accuracy of 95.45%, Precision of 93.57%, Recall of 95.45%, and F1-Score of 94.08%, exceeding the research target of 80% accuracy. These results indicate that Random Forest combined with K-Fold Cross Validation is effective for classifying ARI severity.

Klasifikasi Status Tekanan Darah Berdasarkan Kadar Kolesterol Pada Lansia Di Puskesmas Setiabudi

Vina Nur Amalia Putri, Fuad Nur Hasan, Lestari Yusuf — Fri, 25 Sep 2026 00:00:00 +0000

Hypertension is a noncommunicable disease commonly experienced by older adults and is closely associated with elevated cholesterol levels; therefore, a classification method capable of supporting rapid and accurate early detection is needed. This study aims to classify blood pressure status based on cholesterol levels among older adults at the Setiabudi Community Health Center in 2025 using the Naive Bayes algorithm and to evaluate the model’s performance through 10-fold cross-validation. The study employed a quantitative approach using a classification method applied to 1,099 secondary medical records of older adults, which included variables such as gender, age, weight, height, body mass index, upper arm circumference, waist circumference, cholesterol levels, systolic blood pressure, and diastolic blood pressure. The research stages included preprocessing, data transformation, feature selection, Naive Bayes model development, and evaluation using a confusion matrix and classification report. The results showed that the model was able to classify blood pressure status into nine categories with an accuracy of 80.44%, precision of 84%, recall of 80%, and an F1-score of 81%. These findings indicate that the Naive Bayes algorithm is effective in classifying blood pressure status based on cholesterol levels in the elderly and has the potential to support decision-making for screening and early detection of hypertension risk in healthcare facilities.

SISTEM INFORMASI MONITORING PKL SISWA SMKN 1 PALEMBANG BERBASIS WEB DENGAN METODE RAD

Emilia Emilia, Fenando Fenando, Reni Septiyanti — Fri, 25 Sep 2026 00:00:00 +0000

Praktek Kerja Lapangan (PKL) merupakan bagian penting dalam pendidikan vokasi yang bertujuan membekali siswa dengan pengalaman kerja di dunia usaha dan dunia industri. Pelaksanaan PKL di SMK Negeri 1 Palembang masih menghadapi kendala, terutama pada proses monitoring, pelaporan, dan pengelolaan data yang belum terintegrasi sehingga menyulitkan pemantauan kehadiran, jurnal harian, serta penyampaian laporan PKL. Penelitian ini bertujuan membangun Sistem Informasi Monitoring PKL berbasis web yang mampu mengintegrasikan proses absensi, jurnal harian, penilaian, pelaporan, monitoring secara real-time, dan peta sebaran lokasi PKL siswa. Penelitian menggunakan metode kualitatif dengan teknik pengumpulan data berupa observasi, wawancara, dan studi pustaka untuk mengidentifikasi kebutuhan pengguna. Pengembangan sistem menerapkan metode Rapid Application Development (RAD) yang meliputi tahapan Requirement Planning, Workshop Design, dan Implementation, dengan melibatkan pengguna pada setiap tahap pengembangan. Pengujian sistem dilakukan menggunakan metode Black Box Testing untuk memastikan seluruh fungsi berjalan sesuai kebutuhan. Hasil penelitian menunjukkan bahwa sistem berhasil dibangun dan mampu mendukung pengelolaan PKL secara lebih efektif, efisien, dan terpusat. Sistem juga memudahkan Humas, Guru Pembimbing, Pembimbing Industri, Ketua Program Keahlian, dan siswa dalam melakukan monitoring, pelaporan, serta evaluasi kegiatan PKL secara berkelanjutan di SMK Negeri 1 Palembang.

Pembuatan Aplikasi Keuangan Berbasis Website (Studi Kasus: Ide Teknik Engineering Solo)

Angelia Carolina Bani, Retno Palupi — Fri, 25 Sep 2026 00:00:00 +0000

The creation of a website-based financial application (case study: Ide Teknik Engineering Solo) aims to design and build a financial management system to address unintegrated manual recording. The scope of the system includes recording income, expenses, and presenting financial reports. The software development method used is the waterfall method with stages of needs analysis, system design (Flowchart, DFD, ERD), implementation using PHP, HTML, and MySQL, as well as system testing using blackbox testing and User Acceptance Test (UAT). The results of the study indicate that the application is able to help manage sales data, purchases, bank cash, operational costs, journals, receivables, payables, and various financial reports such as profit and loss statements, cash flow, balance sheets, tax reports, and general journals. Blackbox testing shows that all system functions run according to the designed needs and specifications. Meanwhile, based on the results of the User Acceptance Test (UAT) questionnaire for 15 respondents, a percentage value of 86% was obtained, indicating that the application received a positive response and was very well received by users. This web-based financial application is effective and efficient in assisting the process of recording and managing finances at Ide Teknik Engineering Solo, as well as increasing the accuracy and ease of creating financial reports.

Implementasi Aplikasi POSION Berbasis Android Untuk Transaksi Penjualan Pada UMKM Dengan Keterbatasan Konektivitas Internet

Muhammad Fahrul Bahri, Muhayat — Fri, 25 Sep 2026 00:00:00 +0000

This study aims to design and implement a mobile-based Point of Sale (POS) application to assist small businesses in managing sales transactions, product data, and inventory efficiently. The application provides features such as user authentication, product management, stock monitoring, and real-time transaction processing. The development method applied in this study is the Waterfall model, which includes requirement analysis, system design, implementation, testing, and evaluation. The results show that the developed application is capable of recording transactions accurately, calculating total payments and change automatically, and providing stock availability information with low-stock notifications. In addition, the system supports product search and categorization, making it easier for users to manage inventory. The implementation of this application improves operational efficiency, reduces human error in transaction calculations, and enhances decision-making through structured and real-time data. Furthermore, the application offers a simple and user-friendly interface, making it suitable for daily business operations.

Rancang Bangun Website Pengajuan Permohonan Administrasi Gereja Untuk Layanan Baptis, Pernikahan, Penyerahan Anak dan Pindah Jemaat (Studi Kasus : GPDI El-Shadday Larantuka)

Jeanet Wanti Lodan Koten, S.M. Santi Winarsih — Fri, 25 Sep 2026 00:00:00 +0000

This research aims to design and develop a web-based church administration application for baptism, marriage, child dedication, and congregation transfer services at GPDI El-Shadday Larantuka. The existing manual submission process often causes delays and recording errors in administrative services. The proposed system is intended to facilitate church members in submitting administrative requests online and assist administrators in managing data digitally. Data collection methods included online interviews and literature studies to identify system requirements. The website was developed using HTML, PHP, MySQL, and CSS to create a responsive user interface. The results show that the website is capable of accelerating administrative service processes, reducing manual errors, and improving the efficiency of church data and archive management. The system also provides easier access for congregation members and supports church administrators in delivering digital-based services.

Analisis Sentimen Pengguna Media Sosial Tiktok Terhadap Kinerja Wakil Presiden Gibran Rakabuming Raka Menggunakan Metode Naive Bayes

Mutiara Agustin, Anggia Dasa Putri — Fri, 25 Sep 2026 00:00:00 +0000

TikTok social media generates a large volume of unstructured textual comments that can be utilized as a source for sentiment analysis using machine learning methods. This study focuses on the sentiment analysis of TikTok users' comments regarding the performance of Vice President Gibran Rakabuming Raka by applying the Naive Bayes algorithm as the classification method. Data were collected through a scraping technique from comments on TikTok videos published during the 2025–2026 period. A total of 7,249 comments were successfully collected, and after the selection and preprocessing stages, 4,800 comments were retained as the research dataset, consisting of 80% training data and 20% testing data. The data preprocessing stages included case folding, cleaning, tokenizing, stopword removal, stemming, and feature extraction using the Term Frequency–Inverse Document Frequency (TF-IDF) weighting method, followed by sentiment classification using the Naive Bayes algorithm. The model performance was evaluated using a confusion matrix by measuring accuracy, precision, recall, and F1-score. The experimental results showed that 2,546 comments (53.04%) were classified as negative sentiment, while 2,254 comments (46.96%) were classified as positive sentiment. The model achieved an accuracy of 87%, with a precision of 85% for the negative class and 90% for the positive class, a recall of 92% for the negative class and 81% for the positive class, and F1-scores of 88% and 85% for the negative and positive classes, respectively. These findings indicate that the Naive Bayes algorithm is effective in classifying the sentiment of TikTok users' comments with a high level of accuracy