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This study examines the implementation of digital health services via the Mobile JKN application at the Payung Sekaki Community Health Center in Pekanbaru City and explores factors affecting service effectiveness, especially complaints about long waiting times. Using a descriptive qualitative approach based on the Mobile Health Acceptance Model by Handayani et al. (2021), the study focuses on five constructs: ease of use, system availability, system responsiveness, health workers’ digital skills, and user trust. The results show that Mobile JKN has significantly simplified administrative processes, accelerated registration, and improved service efficiency at the health center. Effectiveness is supported by factors such as the application’s general ease of use, faster queue data processing, and adequate digital skills among staff. Users also show a high level of trust, though queue time estimation still needs improvement. Despite these benefits, complaints about long waits persist due to patients who register online but still queue manually and misunderstandings between Mobile JKN and e-Puskesmas queue numbers. Late patient arrivals also contribute to delays. Overall, Mobile JKN proves effective in enhancing digital health services, but further optimization is needed through better socialization of service procedures, accurate queue information, and improved system integration to maximize the advantages of digitalization.

Relational databases store information in interconnected tables and are widely used for data management and retrieval. However, in certain environments, the original values stored in a relational database cannot be exposed during data retrieval. This limitation creates a challenge because common encryption methods only transform data for storage and do not support mathematical operations needed for value matching. Partially Homomorphic Encryption is a cryptographic approach that allows specific mathematical operations to be performed directly on transformed data without restoring it to its original form. This study proposes the use of Partially Homomorphic Encryption to enable value-based data retrieval while keeping all stored values in their transformed form throughout the entire process. The method relies on homomorphic properties that allow mathematical comparison to be conducted on encrypted data, making the retrieval process possible without revealing the original values. The results show that this approach can perform data retrieval operations in a relational database while preserving the transformed structure of the stored data. The proposed method offers an alternative for environments that require data retrieval without exposing original values and demonstrates the potential of homomorphic techniques in supporting secure and functional data processing in relational database contexts.

This study aims to develop and implement a web-based Library Information System as a means to enhance literacy within the Kampoeng Baca Pelangi (KBP) Community. The system is designed to simplify library data management processes that were previously performed manually, including book cataloging, member registration, borrowing, returning, and the generation of operational reports. The development process follows the Waterfall method, starting from requirement analysis, system design, implementation, up to system testing. The results indicate that the system successfully meets the primary needs of the library administrators, based on feasibility testing involving internal KBP respondents. Evaluation through a Likert-scale questionnaire produced a score of 94%, indicating that the system falls into the “Highly Feasible” category for use. Features such as book data management, borrowing/return transaction processing, collection search, and report generation are proven to enhance the efficiency and accuracy of library operations.

The distinctive markings on the fingers are known as biometrics. The fingerprint attendance method uses biometrics. Without developing a usable fingerprint tool, research on fingerprint attendance is restricted to processing attendance data. As a result, an Arduino-based fingerprint approach was used to construct an attendance tool. The education sector is where SMK Negeri 1 Indralaya Utara. The school's student attendance system is still operated manually. In this study, the system uses fingerprints and camera recording to track students' locations. Using an Arduino Mega as a microcontroller, this tool will display student attendance information on an LCD, save it on an SD card module, and send the ESP32CAM-generated photographs over Telegram. The literature review is the first step in the research process, followed by hardware and software design. Following completion, the tool is put through testing to evaluate its functionality. Each of the ten participants scanned their thumb and index finger. The thumb and index finger have an average of five tests, with a 0.28% mistake rate, depending on the number of trials. Each component's error percentage is less than 1% while still falling within the 5% tolerance limit. The image test results indicate two conditions: 20 cm and greater. The ESP32CAM will activate when we take a picture at a distance of 20 cm.

This study ims to analyze the implementation of a real-time inventory management system, identify challenges in the current inventory process, and provide appropriate solutions. Based on observations, inventory data management at PT. Tirta Investama still relies on manual and semi-computerized methods, resulting in inventory discrepancies, delays in information updates, difficulties in real-time monitoring, and inefficiencies in report generation and distribution processes. This research employed Library Research and Field Research methods. The system involves two user roles, namely Supervisors and Checkers. Supervisors are responsible for managing products, incoming and outgoing goods, transactions, and user accounts, while Checkers verify document consistency for goods processing activities. The system was developed using PHP Native and MariaDB version 10.4.27. The implementation of this system is expected to improve inventory monitoring in real time, enhance data accuracy, minimize recording errors, support faster decision-making in procurement and distribution activities, and facilitate more efficient report generation.

This study describes the development of a web-based Archival Information System aimed at improving the efficiency and accuracy of managing incoming and outgoing correspondence at the Teluk Nibung Sub-District Office in Tanjungbalai City. The system enhances administrative workflows by digitizing key processes, including the receipt, verification, recording, and archiving of incoming letters, as well as the preparation and distribution of outgoing letters. Management of incoming and outgoing documents is handled separately to ensure systematic processing and to reduce errors commonly found in manual administration. Developed using web-based technologies and supported by a MySQL database, the system enables flexible access, automated data storage, and faster document retrieval. The implementation results indicate notable improvements in administrative performance, such as quicker processing times, reduced reliance on paper-based archives, and improved data security. Overall, the system supports the modernization of public sector administration and contributes to more effective, reliable, and sustainable archival management practices at the sub-district office level.

This study aims to examine customer segmentation through K-Means clustering from a customer data management perspective, emphasizing the interpretive value of analytical results rather than solely their computational outcomes. The research addresses a critical issue in contemporary data-driven organizations, where customer analytics is often reduced to technical modeling without sufficient translation into managerial insights. To respond to this gap, the study adopts a qualitative interpretive approach embedded within a quantitative clustering process, positioning clustering as part of a broader information management cycle. The empirical analysis is based on the Mall Customers Dataset obtained from Kaggle, consisting of 200 customer records with numerical attributes representing age, annual income, and spending score. Quantitative processing using K-Means clustering was employed to identify customer segments, while qualitative interpretation was applied to analyze the managerial meaning of each cluster. Data interpretation was supported by analytical documentation, visualization outputs, and reflective analysis of cluster characteristics. The findings reveal four distinct customer segments with different behavioral and economic profiles, each carrying specific strategic implications for customer relationship management and marketing decision-making. The study demonstrates that the primary value of clustering lies not merely in segment formation, but in its ability to transform raw customer data into actionable managerial knowledge. In conclusion, this research contributes to customer analytics literature by integrating data mining techniques with qualitative interpretation, offering a more human-centered and decision-oriented framework for customer data management. Future research is encouraged to extend this approach using organizational case studies or participatory decision-making contexts.

Administrative services for civil servants (ASN) play a crucial role in ensuring the rights and obligations of government employees. One of these services is the submission process for the Wife Card (KARIS) and Husband Card (KARSU), which serve as official proof of marital status for civil servants. At the BKPSDM of Sumba Barat Daya, the current submission process for KARIS and KARSU is still carried out manually by filling out paper forms and attaching physical documents. This manual method is time-consuming, prone to data errors, and complicates the monitoring process. Therefore, this study aims to develop a digital information system to simplify the submission, verification, and issuance process of KARIS and KARSU online. This research applies a Research and Development (R&D) approach using the Waterfall model, consisting of requirement analysis, system design, implementation, testing, and evaluation stages. The system is developed using the Python (Streamlit) programming framework and a SQLite3 database, designed to be easily accessible to both ASN users and BKPSDM officers through local networks or the internet. The results show that the developed system successfully reduces processing time by up to 60%, improves data accuracy by 90%, and significantly decreases the use of physical documents. The implementation of this digital information system makes the KARIS and KARSU administrative service more efficient, transparent, and accountable, supporting the ongoing digital transformation within the local government of Sumba Barat Daya Regency.

PT Care Spunbond faces significant challenges in managing production status reports due to its reliance on a manual, paper-based recording system. This results in non-real-time data input, slow data processing, and a high risk of data loss or corruption. To address these issues, this study aims to design a user-friendly, web-based dashboard for monitoring and reporting production status. This system is designed to enable fast data input, provide easy access for the Quality department, and provide secure and integrated data storage. The research method used is a descriptive approach with data collection techniques through observation, interviews, and literature studies. After that, a system analysis was conducted using the PIECES framework to identify existing problems, followed by the design of a UML (Unified Modeling Language)-based system. The results show that the proposed system can improve data processing efficiency, improve report accuracy, and ensure better production data security. With the implementation of this system, the company is expected to accelerate data-driven decision-making, increase transparency, and support efforts to continuously improve product quality.

Library material processing is an essential activity in library management to support collection organization and facilitate users’ access to information. The Library of the Museum of the History of the Qur’an of North Sumatra possesses a diverse collection of materials, including Islamic books and general books; therefore, a well-planned and systematic collection processing system is required. This internship activity aims to describe the process of processing Islamic and general library materials through cataloging and book labeling activities at the Library of the Museum of the History of the Qur’an of North Sumatra. The method used in this internship was a descriptive qualitative approach, with data collection techniques including observation, documentation, and direct practice in the processing of library materials. The results of the internship indicate that cataloging and book labeling play a significant role in creating organized collections, facilitating information retrieval, and supporting the effectiveness of library services. Thus, processing library materials through cataloging and labeling constitutes a strategic effort to enhance the quality of collection management at the Library of the Museum of the History of the Qur’an of North Sumatra.

Kadi Pada Village is one of the villages that still manages population data manually, which often causes difficulties in recording, searching, and reporting population data. The manual process is also prone to input errors, data duplication, and lost documents. Therefore, a web-based information system is needed that can help village officials manage population data more effectively and efficiently. This study aims to design and build a web-based population data processing system that can be used by village officials to record, update, and present population data digitally. The methodology used in developing this system is the waterfall method, which includes the stages of needs analysis, system design, implementation, and testing. The technologies used include HTML, CSS, PHP, and MySQL as databases. The result of this design is an information system that has main features such as population data management, family data management (Family Card), recording population mutations (birth, moving, death), and making reports in digital format. With this system, it is hoped that the population administration process in Kadi Village will be faster, more accurate, and more organized.

This study addresses the inefficiencies in the manual student payment administration system currently used at SMK Bina Insan Nusantara, which relies on handwritten ledgers and Microsoft Excel spreadsheets, leading to frequent data errors, delayed reporting, and difficulties in retrieving payment records. The research aims to design a web-based information system to streamline the recording, monitoring, and reporting of student payments. A descriptive research approach was employed, with data collected through direct observation, semi-structured interviews with administrative staff, and literature review. System analysis was conducted using the PIECES framework, and system design followed the Unified Modeling Language (UML) methodology. The proposed system features user authentication, student data management, real-time payment input, digital receipt generation, and automated reporting (daily, monthly, and yearly). Black-box testing confirmed that the system functions as intended, validating inputs, processing transactions accurately, and generating reliable outputs. Findings indicate that the web-based system significantly improves data accuracy, operational efficiency, accessibility, and service quality compared to the existing manual process. The implementation of this system enables school administrators to manage payments more effectively, provides students and parents with timely access to payment information, and supports faster, data-driven decision-making by school leadership and the foundation. Future enhancements could include mobile integration and online payment gateways.

This study aims to analyze the institutional effectiveness of Women Farmers Groups (Kelompok Wanita Tani/KWT) in enhancing members’ capacity and their role in agricultural enterprise development in Puulemo Village, Kolaka Regency. A descriptive qualitative approach was employed, with data collected through field observations, in-depth interviews with KWT leaders and members, and a review of relevant secondary data. Data were analyzed inductively through data reduction, data display, and thematic conclusion drawing.The findings indicate that the institutional effectiveness of the KWT is categorized as moderately effective, as reflected in a clear organizational structure, relatively high member participation, and the implementation of various capacity-building activities, including organic fertilizer production, horticultural cultivation, local food processing, and basic marketing practices. These activities have positively contributed to improving members’ knowledge, skills, and economic independence. However, institutional effectiveness has not been fully optimized due to limited post-training assistance, low digital literacy, and inadequate utilization of information technology for business development and product marketing.Furthermore, the KWT plays a strategic role in agricultural enterprise development through production activities, value-added processing, and local-scale marketing, which contribute to increasing household income. This study highlights the importance of strengthening institutional capacity, improving human resources, and optimizing the use of information technology and digital marketing to enhance the sustainability of KWT as a driver of rural women’s economic empowerment and local food security.

This study aims to develop a web-based Virtual Assistant to improve the efficiency of academic information services at SMA Negeri 1 Parittiga. The research was motivated by the delays and inaccuracies in information delivery caused by the manual system still used in the school. The system development was carried out using the Research and Development approach with the Waterfall model, which includes the stages of needs analysis, design, implementation, and evaluation. The main technologies used are Natural Language Processing (NLP) and the Long Short-Term Memory (LSTM) machine learning algorithm, which allow the assistant to understand and respond to user questions in natural language in a contextual way. The system architecture uses Flask as the backend, Vue.js as the frontend, and Laravel for administrative data management. The testing results show that the system has an accuracy level of 88.4% in providing correct answers and a user satisfaction level of 92%, surpassing the target success rate of 80%. These findings prove that integrating NLP and LSTM can enhance the system's ability to understand conversational context and speed up the distribution of academic information. The study concludes that a web-based Virtual Assistant is an effective solution for the digitalization of school information services and has the potential to support the implementation of artificial intelligence technology in secondary education in Indonesia.

Advances in information and communication technology (ICT) have revolutionized various aspects of life, including the education sector. The application of technology in education enables more flexible, interactive, and personalized learning, as well as expanding access for students in various regions, including remote areas. SMK Negeri 2 Binjai is one of the vocational education institutions in Binjai City that is currently facing challenges in the process of determining recipients of educational assistance, particularly the Indonesia Pintar (PIP) Program, which is intended for underprivileged students. Until now, the selection mechanism for PIP recipients has been carried out manually, making it prone to subjectivity, lack of transparency, and limited integrated data. To overcome this problem, a decision support system is needed to help schools determine the recipients of educational assistance objectively and structurally using the Weighted Aggregated Sum Product Assessment (WASPAS) method, which is an effective multi-criteria decision-making technique for processing various assessment criteria to produce the best alternative ranking. The results of the calculation using the WASPAS method produced different preference values (Qi) for each student alternative. The highest score was obtained by Ilyas Ramadhanu with a Qi of 0.6899, followed by Binar Sembiring with a Qi of 0.5963, and Dimas Dwi Andika with a Qi of 0.5790. The lowest value was obtained by Adit Rahmazi with a Qi of 0.3852.

The increasingly rapid use of information technology is now an important need for various sectors of people's lives. The various conveniences offered, such as speed and accuracy in data processing, make information technology difficult to separate from daily life, especially in the world of education. At SMP Negeri 1 Tanarighu, the processing of student payment data is still carried out conventionally, which risks causing errors in data processing. Therefore, it is very necessary to have an information system that can process student payment data centrally and integrated. This information system is expected to reduce human error and increase efficiency in the administrative process. The Scrum method, known for its ability to manage projects with limited time and dynamic needs, is very appropriate to apply in the design of this information system. By using the Scrum method, the process of creating information systems can be carried out faster and more flexibly, adjusting to evolving needs, and ensuring more accurate and efficient data management at SMP Negeri 1 Tanarighu.

The administrative system implemented at the Tangerang City PMI Headquarters is still semi-computerized, causing several issues such as inconsistent document formats, higher risk of recording errors, longer processing times, and excessive paper use. Additionally, delays in determining the leader’s availability often hinder the disposition and signing process, resulting in postponed activities. To address these problems, a Web-Based Administrative Management Information System was developed, named “Si-Markot”. This system aims to improve the efficiency of managing incoming and outgoing correspondence through digital archiving, electronic disposition, and digital signature features for leaders. Si-Markot functions as a structured digital repository that enables quick document searches and real-time tracking. The research methodology includes observation and literature study, with system development based on the Rapid Application Development (RAD) approach. System modeling was conducted using Unified Modeling Language (UML), implemented with PHP programming language and phpMyAdmin as the database. The system was tested using the Black Box Testing method. The results of this study produced a web-based administrative management application specifically designed for managing correspondence at the Tangerang City PMI Headquarters, improving efficiency, reducing paper usage, and accelerating document disposition and processing.

The Web-Based Information System for Family Planning (FP) Participant Registration at the Wee Karou Community Health Center in West Sumba Regency aims to simplify the registration process for FP participants, improve efficiency, and provide easier access for the community to FP services. Previously, the registration process was conducted manually, which often led to delays, data processing errors, and time inefficiency. Therefore, an information system is needed to digitalize the registration and data management processes of FP participants. This system is developed using web-based technology that enables the Wee Karou Health Center to conduct online FP participant registration, monitor program progress, and generate reports more quickly and accurately. The main features of the system include online FP participant registration, participant data management, service schedule monitoring, and the generation of statistical reports related to FP services. The implementation of this system is expected to reduce data entry errors, accelerate the registration process, and enhance transparency and data accuracy. In addition, it provides convenience for the community to register without having to visit the health center directly. Thus, the Family Planning services at Wee Karou Community Health Center are expected to become more optimal, effective, and efficient in supporting government programs for population control and better family planning.

Patient satisfaction refers to the degree of emotion felt by an individual, arising from an assessment of the quality of medical care received, compared to initial expectations. Suspected dissatisfaction among visitors to the Huta Padang Community Health Center, Asahan Regency, appears to be due to the inadequacy of the primary care facilities provided at the institution. Information gathering was conducted from July to August 2023. This analytical study aimed to measure patient satisfaction with essential health care at the Regional Technical Implementation Unit (UPTD) of the Huta Padang Community Health Center, Asahan Regency. The target group of the study included all polyclinic patients visiting the Saribudolok Community Health Center. Respondents were selected using a purposive sampling technique, with a total of 64 participants. The study findings were summarized through a frequency distribution table, followed by statistical data processing via a Chi-square test at a 95% significance level (α = 0.05). The analysis revealed a relationship between primary care quality and patient satisfaction, indicated by a p-value of 0.018. Therefore, it is recommended for Community Health Center leaders to actively improve the standards of assistance provided, for example by providing encouragement or incentives for staff to carry out their duties optimally, so that they can realize patient anticipation.

The rapid development of digital technology has significantly transformed commercial activities, particularly through the emergence of marketplaces as platforms for online transactions. The vast number of products available in a marketplace often creates difficulties for users in finding items that suit their needs and preferences. To address this challenge, a recommendation system is required to provide personalized and relevant product suggestions. This study discusses the implementation of a product recommendation system in a marketplace using the Collaborative Filtering method. This method works by leveraging information from users’ previous behavior, such as purchase history, ratings, and similarity of preferences with other users, to generate more accurate product recommendations. The Collaborative Filtering approach has proven effective in identifying user preference patterns based on relationships between users as well as between items. This study employs user interaction data such as ratings and shopping activities as the processing foundation. The process involves data collection, preprocessing, calculation of similarity between users or products, and generating recommendation lists. The results indicate that this method enhances the shopping experience by providing relevant product suggestions tailored to user interests, thereby increasing customer satisfaction and potentially improving sales performance in the marketplace. Thus, the application of a Collaborative Filtering-based recommendation system not only simplifies product discovery for users but also offers strategic advantages for marketplace operators in digital business competition