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This study explores how the drafting process of the Bill (RUU) for the Revision of the Indonesian National Armed Forces (TNI), which was approved to become Law Number 3 of 2025, occurred amidst massive public protests, with an emphasis on violations of the principles of openness, participation, and accountability as regulated in the 1945 Constitution and Law Number 12 of 2011 concerning the Formation of Legislative Regulations. The public's rejection illustrates the potential for abusive law making, threats to civilian dominance, and the possibility of a return to the dual function of the military from the New Order period, supported by protests, petitions from civil society organizations such as NU, WALHI, and KONTRAS, as well as an application for constitutional review to the Constitutional Court. Adopting the perspective of Habermas’s theory of deliberative democracy and Weber’s concept of legitimacy, this research asserts that the argument for the annulment of this Bill is growing stronger, in order to uphold democratic law making and the protection of human rights.

This community service activity was conducted to assist banking institutions in the Surabaya region in enhancing the effectiveness of marketing strategies for savings products in order to increase the number of customers. The main problems faced by banks include the relatively low level of public interest in saving and the suboptimal implementation of promotional strategies, particularly in the utilization of digital media. This activity employed a collaborative approach through training, mentoring, and joint evaluation with marketing staff of banks in the Surabaya area. This activity commenced with an observation and interview phase to identify the marketing strategies that had been previously implemented. Subsequently, material delivery, technical assistance, along with an evaluation of promotional effectiveness. The results indicate that participants were able to implement more adaptive marketing strategies by utilizing digital media such as social media, website, and banking applications. The implementation of these strategies was shown to increase public interest in opening saving accounts. Furthermore, this activity contributed to enhancing the capacity of marketing staff to design data-driven strategies and to strengthening public financial literacy regarding saving products.

Public health is a crucial aspect of improving well-being, particularly at the village level. However, in Srigading Village, Lawang District, Malang Regency, access to information related to health services remains a significant challenge, resulting in suboptimal utilization of Posyandu and Puskesmas services. To address this issue, a web application called “Srigading Sehat” has been developed as a digital platform providing health service information through interactive maps and service schedules. This community service activity employs the IDEA approach (Identify Objective, Design Action Steps, Engage Our Plan, Assess and Follow Up) as a systematic framework. The Identify Objective stage identified limitations in health information access; Design Action Steps designed a participatory learning-based application development model; Engage Our Plan implemented application development, socialization, and training for 25 participants comprising village officials, posyandu cadres, and the general community; and Assess and Follow Up evaluated achievements through Firebase Analytics monitoring. Results showed increased health information access marked by 500 health information page visits within the first 30 days of launch, with total Firebase reads reaching 631 (+1,026.8%). Four village health facilities are actively registered and using the application to independently update their service information. This application is anticipated to serve as an appropriate technological innovation contributing to the enhancement of health services at the village level.

The use of protective equipment in the form of helmets is an important aspect of ensuring motorcycle rider safety. However, violations of helmet usage still frequently occur and are difficult to monitor continuously. This study proposes a real-time helmet detection system using the YOLOv8 object detection method. The YOLOv8n model was trained using a helmet and no-helmet image dataset that underwent data augmentation to improve the model’s robustness against variations in environmental conditions. The system was implemented using the Python programming language with the support of the Ultralytics and OpenCV libraries. The system input was obtained from a webcam with a resolution of 640×640 pixels, where each video frame was processed in real time to detect the Helmet and No Helmet classes. The system displays bounding boxes and class labels in real time and is equipped with a violation duration calculation mechanism. When a no-helmet condition is detected continuously, the system generates pop-up alerts and automatic notifications via the Telegram application. The experimental results show that the system is capable of detecting helmet usage and no-helmet violations in real time with stable performance. The integration of violation duration calculation helps reduce momentary detection errors and improves the reliability of identifying valid violations

Posyandu (Integrated Health Post) is a public health facility that plays a vital role in providing health services for toddlers and pregnant women. However, data management and reporting often face challenges, such as limited access to information and errors in data recording. Therefore, this study aims to develop a Web-Based Posyandu Payolaumbu Service Information System using the CodeIgniter Framework to improve efficiency and accuracy in data management and reporting. In the development phase, a system requirements analysis and web-based application architecture design were conducted. The system implementation uses the CodeIgniter Framework as a framework to produce a faster, more efficient, and more reliable application. Proposed features include recording health data for toddlers and pregnant women, immunization schedules, weighing, and health reports. The results show that the Web-Based Posyandu Payolaumbu Service Information System can improve efficiency in recording and reporting health data. Users, including posyandu officers, midwives, and administrators, can easily access and manipulate data in real-time. Furthermore, this system helps improve service quality by providing more accurate and complete information on toddler health. In conclusion, the implementation of the Web-Based Posyandu Payolaumbu Service Information System using the CodeIgniter Framework provides significant benefits for data management and health services at Posyandu Payolaumbu. Suggestions for further development include maximizing system utilization, developing additional features, routine maintenance, and ongoing evaluation based on user feedback. With these steps, it is hoped that this system can contribute more effectively to improving the quality of health services at Posyandu and supporting comprehensive public health efforts.

The rapid growth of e-commerce platforms in Indonesia, particularly Tokopedia, has resulted in a large volume of consumer reviews containing valuable information regarding customer perceptions and satisfaction. However, manual analysis of such reviews is inefficient and prone to subjectivity, necessitating an automated approach based on machine learning. This study aims to classify the sentiment of sports product reviews on Tokopedia into positive, negative, and neutral categories by applying Logistic Regression, Support Vector Machine (SVM), and Random Forest using the Term Frequency–Inverse Document Frequency (TF-IDF) approach. The data were collected through web scraping of Indonesian-language sports product reviews and processed through several preprocessing stages, including data cleaning, case folding, tokenization, stopword removal, and stemming. Feature representation was performed using TF-IDF to transform textual data into numerical vectors, after which the dataset was divided into training and testing sets with an 80:20 ratio. Model performance was evaluated using accuracy, precision, recall, and F1-score metrics. The results indicate that the application of TF-IDF significantly improves the performance of all models, with SVM consistently achieving the most optimal performance compared to Logistic Regression and Random Forest. These findings demonstrate that classical machine learning algorithms combined with TF-IDF remain highly effective for sentiment analysis of Indonesian-language text. The implications of this study are expected to assist sellers in understanding customer opinions, support consumers in making informed purchasing decisions, and serve as a foundation for the development of sentiment analysis and recommendation systems on e-commerce platforms.

This study conducts sentiment analysis of Indonesian user reviews of the CapCut application using IndoBERT and compares two evaluation schemes: a single 80/20 train–test split and stratified 5-fold cross-validation (k=5). A total of 1,048,575 reviews were collected from the Google Play Store through web scraping and labeled into three sentiment classes based on rating: negative (1–2), neutral (3), and positive (4–5). After preprocessing—cleaning, case folding, banned-word removal, normalization—and duplicate removal, 517,962 reviews were retained. IndoBERT Base P1 was fine-tuned using fixed hyperparameters (batch size 32, learning rate 2e-5, up to 4 epochs, early stopping patience 2), while undersampling was applied to the training set to address class imbalance. Performance was assessed using accuracy, precision, recall, F1-score, and ROC-AUC, supported by confusion matrix and ROC-curve visualizations. The single split achieved an accuracy of 0.756, whereas cross-validation produced a mean accuracy of 0.740. Across both schemes, the positive class achieved the best performance (F1-score 0.850; ROC-AUC 0.918–0.919), while the neutral class remained the most challenging (precision 0.198–0.206; F1-score 0.280–0.283). Overall, cross-validation is recommended for reporting because it reduces dependence on a single partition and provides a more representative estimate across multiple splits.

This study aims to design and build a population distribution application in Demak Regency in 2025 using a Geographic Information System (GIS) approach. The study focuses on three main variables: population, population density, and population growth rate per sub-district. The author used the research method of collecting data and references that can later strengthen the results of this study and the application design using the waterfall model. Non-spatial data, namely data in the form of population information, was obtained from the Central Statistics Agency of Demak Regency, while spatial data is data related to regional administrative boundaries. Data processing was carried out using QGIS 2.18 through the stages of joining attributes, classification using the Natural Breaks (Jenks) method, and thematic map creation. The results show that population distribution is uneven. Demak Kota, Karangtengah, and Sayung sub-districts have the highest number and density, while coastal sub-districts such as Wedung and Bonang have low densities. The highest population growth rate is in Karangtengah sub-district at 0.8%. The application of GIS has proven effective in visualizing population distribution and supporting spatial-based regional development planning.  

Currently, patients experiencing early symptoms of skin disease caused by the exanthema virus are unable to immediately consult a dermatologist due to the high cost and limited time available for specialists in hospitals. Therefore, the author needs to develop an expert system application that can address this issue. Through this application, users can consult with the system, much like an expert, to diagnose their symptoms and find solutions to their problems. This expert system is designed to provide answers based on whether the symptoms are correct or not, or to provide several recommended answer choices based on the symptoms. To diagnose skin disease caused by the exanthema virus, the author used the Case-Based Reasoning method. The CBR method is a weighting technique that compares new cases with previous cases. The diagnosis is based on data provided by the patient and expert, which is then analyzed using case-based reasoning and stored as a knowledge database in the expert system. Therefore, this expert system can help identify solutions for problems experienced by patients suffering from skin disease caused by the Exanthema Virus.

Managing Regional Public Service Agency (Badan Layanan Umum Daerah/BLUD) hospitals requires planning and budgeting processes that are accountable, measurable, and aligned with service performance. In practice, BLUD planning is still constrained by fragmented applications (hospital information system/SIMRS, finance, human resources, e-office, and procurement), duplicate data entry, approval delays, and limited monitoring of process compliance. This study aims to analyze requirements and design a web-based BLUD planning information system using an Enterprise Application Integration (EAI) approach through middleware to improve cross-system interoperability, data consistency, and the timeliness of executive reporting. The study adopts the Design Science Research (DSR) framework, comprising problem identification, definition of solution objectives, artifact design and development, demonstration, evaluation, and communication/report writing. The proposed system includes a unit-based budget proposal module and item management, a role-based approval workflow (RBAC) with SLA tracking, a budget ceiling (pagu) master to benchmark proposals, audit trails and report exports, and an executive dashboard integrating budget perspectives, service indicators (e.g., bed occupancy rate/BOR and patient visits), and process compliance. It also provides an integration design via middleware (ESB/message broker) supported by a canonical data model (CDM) and traceable logging (trace_id/correlation_id). Evaluation using black-box testing and API contract testing indicates that the main planning workflow operates as intended and the integration interfaces are consistently defined, providing a foundation for staged implementation and further performance evaluation.

The increasing demand for interactive web applications has encouraged the adoption of server-driven approaches such as Livewire as an alternative to building Single Page Applications (SPAs) without complex client-side JavaScript. However, the performance implications of this approach compared to conventional methods remain insufficiently explored. This study presents an empirical comparison between Laravel Blade with AJAX and Livewire in an academic attendance system scenario. Performance evaluation was conducted using k6 on the same web server, complemented by manual browser-based testing to observe actual communication patterns. The results indicate that Livewire exhibits approximately 2.7× higher average response time and up to 6× greater bandwidth consumption than Laravel Blade, primarily due to its snapshot mechanism and state synchronization process. Conversely, Livewire demonstrates better stability, reflected by lower maximum response times and a 0% error rate. These findings highlight a clear trade-off between resource efficiency and development convenience, where Livewire favors stability and developer productivity, while Laravel Blade provides superior efficiency in terms of latency and bandwidth usage.

Student selection for the National Student Sports Olympiad (O2SN), particularly in the karate category, is still largely conducted manually, which may lead to subjectivity and inconsistency in the assessment process. This study aims to design and develop a web-based Decision Support System (DSS) to assist schools in selecting the best students for the O2SN karate competition by applying the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method at SMA Negeri 2 Muaro Jambi. The system was developed using the waterfall model, which consists of requirement analysis, system design, implementation, and testing stages. The student evaluation process is based on criteria referring to the official O2SN karate standards, including stance accuracy, techniques, movement transitions, timing and harmony, breathing control, focus (kime), conformity (consistency with ryu-ha/style), strength, speed, and balance. The developed system processes assessment data to generate preference values and student rankings, which are separated by male and female categories. The results indicate that the application of the TOPSIS method is able to support more objective decision-making and improve transparency and efficiency in the O2SN student selection process within the school environment.

Transformasi digital yang pesat dalam pendidikan tinggi menuntut pengalaman pengguna yang optimal pada sistem e-learning. Sistem Informasi Akademik (SIAKAD) Universitas STEKOM yang berlaku saat ini menghadapi masalah UX mendasar, terutama karena fitur pembelajaran bercampur dengan fungsi administratif yang kompleks. Hal ini menciptakan Extraneous Cognitive Load (ECL) tinggi dan alur pengguna (user flow) yang panjang saat mengakses kelas, yang pada akhirnya menurunkan kemudahan penggunaan dan motivasi mahasiswa. Penelitian ini bertujuan untuk mengoptimalkan pengalaman pengguna sistem informasi perkuliahan Universitas STEKOM melalui perancangan dan pengembangan prototipe berbasis arsitektur Single Page Application (SPA) menggunakan framework React. Metodologi yang digunakan adalah Research and Development (R&D) dengan pendekatan kuantitatif. Arsitektur sistem memanfaatkan desain berbasis komponen React untuk memisahkan secara jelas modul pembelajaran dari tugas administratif. Optimasi performa dilakukan melalui implementasi lazy loading, code splitting, dan DOM virtual untuk memastikan responsivitas sistem yang optimal. Efektivitas sistem yang dikembangkan akan dievaluasi secara kuantitatif menggunakan User Experience Questionnaire (UEQ) (mengukur enam dimensi, termasuk efficiency dan attractiveness) dan System Usability Scale (SUS). Target keberhasilan adalah pencapaian skor SUS minimal 75 (di atas rata-rata industri) dan minimal pengurangan 40% pada Time-on-Task untuk aktivitas pembelajaran inti. Penelitian ini berkontribusi sebagai model rujukan praktis untuk adopsi modern web technologies (SPA React) di institusi pendidikan tinggi lainnya dan meningkatkan efektivitas pembelajaran dengan meminimalkan beban kognitif yang tidak perlu (ECL).

This study discusses the application of the HSV color segmentation method for color-based object detection in digital images. The data used consist of digital images in JPG, PNG, or WebP format containing various colored objects, including red tomatoes, yellow bananas, green apples, orange oranges, purple akebia, brown sapodilla, and blue blueberries. The research process involves converting images from BGR to HSV, determining HSV ranges for each color, creating masks, performing segmentation, analyzing pixels, detecting contours, and visualizing results using bounding boxes. The results show that the HSV method effectively detects objects, separates them from the background, and provides quantitative information, including pixel count, area percentage, and average HSV values for each color. Red, yellow, green, orange, purple, brown, and blue colors were successfully segmented, displaying clear and accurate objects, both for single and multiple objects, under various sizes and lighting conditions. These findings confirm that the HSV method is a simple, fast, and effective approach for color-based image analysis.

Games that were initially enjoyed individually and offline have now evolved into online games that allow interaction, competition, and friendship with other players in real-time. Online games are now increasingly popular, one of which is Mobile Legends. This game can be downloaded through the Play Store and App Store. In April 2024, Mobile Legends ranked the most popular game by downloads on the statista.com website. The research objective was to determine the influence of event marketing, content marketing, influencers, and the social environment on the decision to purchase Mobile Legends game skins in Kebumen Regency. The method used was non-probability sampling with a purposive sampling technique aimed at 100 users. Data collection techniques used questionnaires and literature studies. The data analysis technique used multiple linear regression, which was then processed with the SPSS application version 25.0 for Windows. The results showed that event marketing had a significant effect on purchasing decisions, content marketing had a significant effect on purchasing decisions, influencers had no significant effect on purchasing decisions, the social environment had no significant effect on purchasing decisions, and event marketing, content marketing, influencers, and the social environment simultaneously had a significant effect on purchasing decisions.

Micro, Small, and Medium Enterprises (MSMEs) play a vital role in the economy of Ketapang Regency but still face challenges in financial recording and management. Many MSME actors have not yet utilized digital technology optimally, leading to manual bookkeeping processes that are prone to errors. This study aims to develop a web-based financial bookkeeping application using the User-Centered Design (UCD) approach, focusing on user needs. The UCD method was applied through four stages: understanding the context of use, specifying user requirements, designing solutions, and evaluating the results. The developed application includes key features such as product management, supplier management, sales recording, receipt printing, and financial reporting. Based on usability testing involving 25 respondents, the application achieved an average satisfaction level of over 85% across aspects of learnability, efficiency, memorability, error handling, and satisfaction. The findings indicate that the application effectively supports MSME actors in recording financial transactions more efficiently, accurately, and reliably. Future improvements may include the integration of digital payment systems, enhanced data security, and interactive graphical financial analysis features.

The development of Islamic banking in Indonesia faces challenges in attracting customers, especially younger generations who are more familiar with digital technology. Digital marketing has become an important strategy for reaching a wider market segment through social media, websites, and mobile applications. This study uses a literature review method to analyze the effectiveness of digital marketing in increasing customer interest in Islamic banking. The results of the study show that educational, interactive, and transparent digital marketing can increase customer awareness, trust, and emotional attachment to Islamic products. The factors for the success of this strategy include content quality, ease of access to digital services, content segmentation according to customer profiles, and multichannel communication integration. However, the effectiveness of digital marketing is still limited by the scarcity of educational content, human resource capacity, and the level of digital literacy among the public. This study concludes that optimizing creative, personalized, and educational digital marketing strategies is key for Islamic banking to increase customer interest and loyalty.

Barru Regency tourism has a variety of tourist attractions, but information related to the location and potential of tourism has not been digitally integrated, making it difficult for tourists and the government to access data. This study aims to design and build a web-based Geographic Information System (GIS) that can map the location of tourist attractions in Barru Regency interactively, easily accessible, and equipped with supporting information in the form of descriptions, types of tourism, photos, and travel routes. The research method used is Research and Development (R&D) with the stages of tourist attraction surveys, interface design, feature development, and system testing. The results of the study are in the form of a website "Web-Based Geographic Information System for Mapping Tourist Attractions in Barru Regency" which is able to present tourist information systematically and easily understood. The conclusion of this study shows that the developed system can be a supporting medium in disseminating tourism information, helping tourists find tourist locations, and supporting the local government in managing and developing the tourism sector based on spatial data. This application also has the potential to be an educational and promotional tool to increase tourist visits to Barru Regency  

Ketergantungan global yang meningkat pada platform web untuk mengelola komunitas, transaksi, dan acara khusus menuntut validasi fungsional yang ketat guna memastikan keandalan sistem dan kepuasan pengguna. Studi ini bertujuan untuk menganalisis secara kuantitatif kualitas fungsional Website Nganjuk Runners dengan memverifikasi kinerjanya secara sistematis terhadap persyaratan fungsional dan teknis yang telah ditetapkan. Penelitian ini menggunakan pendekatan evaluatif kuantitatif dengan metode Black Box Testing. Kasus uji dirancang secara sistematis menggunakan teknik Equivalence Partitioning dan Boundary Value Analysis untuk mencakup semua domain input dan delapan modul fungsional inti secara komprehensif. Sebanyak 193 Kasus Uji dieksekusi, mereplikasi skenario interaksi pengguna di seluruh fungsi penting, termasuk Registrasi, Manajemen Profil, dan Tiket Event. Validasi fungsional keseluruhan mengungkapkan tingkat keberhasilan yang rendah, yaitu hanya 64,77% (125 kasus uji berhasil dari 193 total kasus). Angka ini secara signifikan berada di bawah ambang batas penerimaan standar industri yang umum (>85%). Kegagalan kritis terkonsentrasi pada Modul Manajemen Profil (47,22% keberhasilan), yang mengungkap risiko integritas data pengguna dan keamanan, serta Modul Pendaftaran Event (57,63% keberhasilan), yang mengindikasikan cacat operasional dalam fungsi bisnis inti sistem. Penelitian ini menyumbangkan metrik kuantitatif untuk kesiapan sistem dalam konteks platform komunitas. Implikasinya adalah rekomendasi terprioritas yang jelas untuk segera dilakukan debugging dan regression testing yang berfokus pada 68 kegagalan yang teridentifikasi guna mengurangi risiko operasional yang tinggi, meningkatkan stabilitas sistem, dan mencapai metrik kualitas minimal sebelum platform dinyatakan siap untuk penggunaan resmi.

The advancement of information technology has encouraged organizations to transform their data management practices, including those within the electrical power sector. PT PLN (Persero) UP3 Lubuk Pakam previously utilized Google Sheets to store and manage electrical energy loss data. However, this approach posed data security risks, as the files could be accessed and modified by unauthorized individuals. To overcome these limitations, this study developed a web-based information system specifically designed for the Electricity Energy Transaction Division (TEL) to replace Google Sheets as a platform for managing energy loss data. The proposed web application integrates a Role-Based Access Control (RBAC) mechanism, ensuring that only administrators are authorized to input, edit, or delete data, while other users can only view validated records. Furthermore, the system incorporates interactive data visualization through real-time charts, facilitating effective monitoring and analysis of electrical energy losses. The implementation of this system is expected to enhance data security, accuracy, and management efficiency within the TEL Division of PT PLN UP3 Lubuk Pakam.