Publication Search

This research seeks to examine the approach to managing civil servant training to enhance public service efficiency at the Regional Civil Service Agency (BKD) of Pasuruan City. This research is rooted in the bureaucratic difficulties encountered by local governments, especially the disparity between organizational demands and the presence of qualified staff. This situation results in delays in service, reduced productivity, and ineffective management of human resources. The study utilizes a qualitative descriptive method, gathering data via comprehensive interviews, firsthand observations, and analysis of policy documents. The results indicate that the state civil servants formation management approach at BKD Pasuruan emphasizes three main elements: workforce planning based on competencies, employee redistribution according to performance, and strengthening evaluation systems oriented towards results. These tactics have enhanced bureaucratic effectiveness and expedited public service operations. The research additionally reveals that effective execution relies on adaptive leadership, a cooperative work environment, and a dedication to service innovation. In summary, an effectively designed, flexible, and results-oriented state civil servants formation management approach can act as a template for enhancing local administrative capabilities to deliver efficient, professional, and enduring public services.

The rapid development of network infrastructure demands high Quality of Service (QoS), especially in Metro Ethernet networks widely utilized by telecommunication service providers. A primary challenge is efficient bandwidth management to ensure network stability and performance. This research aims to optimize bandwidth management by implementing the Y.1731 method based on Ethernet Operations, Administration, and Maintenance (OAM) on Raisecom devices. The methodology employed is a quantitative experimental approach based on technical simulation within an Professional Network Emulator Tool Lab (PNET Lab), where real-time network performance measurements are conducted using the ITU-T Y.1731 protocol for key parameters such as delay, jitter, and packet loss on Raisecom devices (represented by Cisco routers). The expected outcomes include increased efficiency in bandwidth utilization through more adaptive allocation, comprehensive and accurate real-time network performance monitoring capabilities, validation of OAM functions on Raisecom devices, improved Quality of Service (QoS) and better Service Level Agreement (SLA) attainment, and the provision of technical recommendations for network management. The implementation of Y.1731 is anticipated to quickly detect and respond to service degradation, thereby providing a strong basis for decision-making in network management and contributing to the enhancement of service quality in Metro Ethernet networks through optimization based on proactive monitoring.

In today’s era, we are very familiar with operating systems that function to manage the work of hardware and software so they can be used properly. One of the most widely used operating systems is Windows, because it has an easy-to-understand interface and is capable of running multiple applications simultaneously. To support this, Windows requires a process management mechanism, namely a way for the system to organize running programs so they do not interfere with each other and remain stable. In process management, there is an important component called the Process Control Block (PCB). The PCB can be likened to an identity card or a complete record of a process, as it contains information such as the process ID, status, CPU usage, memory, and files being used. This study aims to analyze the role of the process control block, focusing on how the Process Control Block stores important information regarding the status and activity of each process, ensuring smooth, efficient, and non-conflicting application execution. In this research, experiments were conducted to measure CPU usage, memory, and execution time by various processes with different priorities to observe the information of running processes. The analysis results show that each application has its own Process ID and PCB, which records status, CPU registers, memory allocation, and I/O resources used. The PCB enables multiple applications to perform multitasking effectively.

Syndrome is a serious problem in children's health because it has a major impact on growth and development, especially in terms of intelligence and daily activities. Down Syndrome, as one of the most well-known chromosomal disorders, is often the main cause of intellectual developmental disorders, hypotonia, facial dysmorphism, early onset of Alzheimer's disease, and various behavioral disorders. Diagnosing syndrome diseases in children is often difficult due to complex and varied symptoms, requiring lengthy, costly, and time-consuming medical evaluations. This study aims to design a Case-Based Reasoning (CBR)-based expert system for diagnosing syndromes in children, which is expected to help accelerate the disease identification process and provide more effective and efficient solutions. The method used is the development of an expert system with a CBR approach, in which the system performs calculations and matching based on the symptoms selected by the user against the available case base. The results of the study show that from symptom inputs such as wide hands with short fingers, short stature, small head, stunted growth, small lower jaw, abnormal body appearance, and weak joints, the system was able to diagnose Klinefelter syndrome with a percentage of 43.58%. This system can be an alternative for patients or families who have limited time and funds to obtain medical consultations, so that diagnosis and follow-up can be carried out more quickly and efficiently.

The modernization of smart grids through edge computing introduces significant cybersecurity challenges, most stemming from adversarial machine learning attacks that compromise distributed intelligence. Although Federated Learning is an appealing decentralized model training paradigm for edge smart grids, its resilience against coordinated injection and evasion attacks has not yet been thoroughly explored. To address this critical gap, we develop and evaluate a resilient Federated Learning model for edge-based innovative grid applications. Under a rigorous simulation-based experimental design, we created a controlled environment based on synthetic energy-demand data and implemented adversarial attack scenarios to ensure model robustness. We propose a resilience enhancement layer in our framework during the federated aggregation process to curtail malicious model updates and adversarial inferences. The results show significant improvement in the stability of the proposed model under attack, maintaining a robustness index above 0.62, whereas baseline approaches exhibit complete degradation. This corresponds to a reduction of approximately 34% in the attack impact rate across different-intensity attack scenarios, while maintaining high stability in aggregation. In addition to the adversarial testing framework in the domain of Federated Learning, this work provides a validated resilience model that secures analytics of smart grids without requiring access to raw data. Our methodology presents a resource-efficient alternative to physical testing and enables safe yet comprehensive security evaluation in critical infrastructure applications.

Private Islamic Religious Colleges (PTKIS) play a strategic role in developing superior human resources with Islamic character. However, in practice, many PTKIS face challenges in meeting higher education quality standards and achieving optimal accreditation. Accreditation assistance based on Outcome-Based Education (OBE) and quality digitization are innovative solutions to improve the effectiveness of education quality management. OBE emphasizes the importance of learning outcomes integrated into the curriculum, learning process, and assessments that are measurable and relevant to the needs of the workplace. Meanwhile, quality digitization supports the efficient, transparent, and real-time management of academic data, forms, and accreditation reporting. Through the integration of these two approaches, PTKIS can improve accountability, accelerate the accreditation process, and ensure the achievement of sustainable quality standards. This article discusses the strategy of OBE-based accreditation assistance and quality digitization at the Tanggamus Islamic Education College, Lampung Province, highlighting the implementation process, obstacles encountered, and solution steps that can be applied to strengthen the PTKIS's internal quality assurance system.

In the modern industrial world, robots like mechanical arms in automotive factories or packaging lines must move quickly and safely. For this, a real-time operating sistem (RTOS) is needed—think of it as a "super-fast brain" that ensures the robot reacts instantly to commands, without delays or errors. This paper analyzes popular RTOS like FreeRTOS and VxWorks for controlling industrial robots, focusing on evaluating performance (speed of operation) and stability (long-term reliability). We conducted tests in a lab using a simple robot that moves its arm to pick up objects. Performance was measured by response time (how quickly the robot stops when encountering an obstacle, ideally under 10 milliseconds) and throughput (how many tasks it can complete per second). Stability was checked through simulations of disruptions, like heavy loads or interfered sensor signals, using metrics such as error rate and time variation (jitter). Results show that FreeRTOS is more efficient for small, affordable robots, with high performance (average response time of 4 ms) but moderate stability (5-10% errors during overload). In contrast, VxWorks excels in stability (errors <2%, stable for up to 95% of tasks on time) for large factory robots, though it requires stronger hardware. Our analysis uses simple models like graphs and repeated tests, without complex formulas, to prove that the right RTOS can boost production efficiency by up to 25% and reduce accident risks.

The franchise business model has experienced rapid growth in Indonesia, particularly in the food, beverage, and modern retail sectors, such as Indomaret. The franchise system provides efficient business expansion opportunities for franchisors and franchisees to participate in businesses that already have established operational standards and market reputations. However, behind this development, significant legal challenges have emerged, particularly related to the unequal position between franchisors and franchisees in franchise agreements. This study aims to analyze the forms of legal protection for franchisees by reviewing the principles of fairness, balance, and legal certainty in the implementation of franchise contracts. The approach used is a normative juridical method with a case study of the Indomaret franchise partnership, which is examined through an analysis of related laws and regulations, such as Government Regulation Number 42 of 2007 concerning Franchising and Regulation of the Minister of Trade Number 71 of 2019. The results of the study indicate that there is still asymmetry of power in contract drafting, weak legal literacy of franchisees, and a lack of government oversight of agreement implementation. Therefore, regulatory reform and strengthening of oversight mechanisms are needed to ensure that franchise relationships operate fairly, transparently, and sustainably

The development of embedded sistem technology is now widely used to support automatic environmental data recording processes, such as temperature, humidity, and air pressure. However, most existing weather data loggers still operate independently and are not directly connected to a computer. As a result, data collection and processing must be done manually, which is less efficient and prone to data loss. The main problem in this research is the lack of integration between microcontroller-based data loggers and simple computer operating sistems such as the Disk Operating Sistem (DOS), making it difficult to automatically store and access recorded data. This study aims to develop an embedded weather data logger sistem based on the AVR microcontroller integrated with DOS. The development process uses the waterfall model, consisting of sistem planning, requirement analysis, sistem design, coding, testing, and implementation. The designed sistem records weather parameters in real time and stores them in a file format that can be directly read by DOS without requiring additional conversion processes. The test results show that the sistem runs stably, records data accurately, and can be easily accessed through a computer. Integration with DOS allows data storage and retrieval processes to be faster and more efficient. Therefore, this sistem provides a practical solution for automatic weather monitoring that is reliable, time-saving, and easy to use in various environmental conditions.

The use of technological resources, especially the internet, has a very important role in supporting the effectiveness of the implementation of the flipped classroom model. Through internet access, students can prepare before face-to-face learning by watching learning videos, reading materials, or doing exercises independently. This allows the classroom teaching and learning process to be more interactive, where face-to-face time can be focused on discussion, problem-solving, and application of concepts. Based on survey data collected from students of SMK Dewata Bali Denpasar, it is known that optimal use of the internet helps increase students' understanding and interest in learning science subjects. However, as time went by, it was found that some of the material was still difficult for students to understand and remember. Therefore, educators need to choose the learning platform that is most effective in supporting the implementation of this model. Using the ELECTRE (Elimination and Choice Expressing Reality) method, this study assessed various platforms such as features, price, ease of use, and user survey results. The results show that Google Classroom is the most suitable and efficient platform to support reverse learning because of its ability to integrate various learning media, ease of access, and support for interaction between teachers and students.

This study aims to analyze and determine the optimal production capacity at Sekar Arum MSMEs to achieve maximum profit using the Linear Programming (LP) graphical approach. The research employed a quantitative method with a descriptive approach. The data used included primary data from interviews and observations, and secondary data from production and raw material records. The analysis was conducted by formulating a mathematical LP model consisting of an objective function and constraint functions based on the limited resources available to the enterprise. Data processing was carried out using POM-QM for Windows version 5 with the graphical method to identify the optimal solution point. The results indicate that the optimal production combination is 2 kilograms of red ginger and 3 kilograms of tamarind turmeric, yielding a maximum profit of Rp4,600,000 per production cycle. The implementation of Linear Programming proved effective in assisting MSME owners in making efficient production decisions, thereby enhancing profitability and the sustainable use of resources.

Conventional attendance systems often face various problems such as inefficiency, inaccuracies in attendance logging, and limitations in recapitulation processes. Manual systems are prone to human error and time-consuming, while fingerprint-based systems may fail when the sensor is affected by dirty, wet, or damaged fingers. This study aims to develop an attendance system based on Artificial Intelligence (AI) by utilizing the face_recognition function in Python and implementing a microservice architecture to improve efficiency and accuracy in attendance recording. The system is developed using the Agile Feature-Driven Development (FDD) method, which focuses on building system features based on prioritized business values. This method is applied within the Software Development Life Cycle (SDLC) to ensure a structured, iterative, and user-oriented development process. Facial recognition is performed by comparing the encoding of the captured face image with the data stored in the database. The results show that the system is capable of recording attendance automatically, accurately, and in real-time. Furthermore, the recapitulation process becomes more efficient as the system manages and presents the data systematically.

Sentiment analysis of guest reviews is a crucial aspect in improving the quality of hotel services. This study aims to analyze the sentiment of guest reviews regarding the services of Grand Diamond Hotel Yogyakarta using a machine learning approach with the Support Vector Machine (SVM) algorithm. SVM was chosen because it can handle high-dimensional data such as text and is capable of forming an optimal separating hyperplane between sentiment classes. The research data was obtained through web scraping from Traveloka, yielding 1,119 reviews, which were processed through preprocessing, translation, and sentiment labeling using the TextBlob library. After TF-IDF weighting, the data was divided into 80% for training and 20% for testing. The linear kernel SVM model achieved 80% accuracy in classifying the reviews into positive, negative, and neutral categories. The results of this study were implemented in a web-based application equipped with data visualization and model evaluation features, allowing hotel management to efficiently monitor and analyze guest sentiment and support data-driven service quality improvement.

Advancements in information technology have created significant opportunities for more efficient spatial data management, including the mapping of government buildings. To support this effort, this study develops a web-based geographic information system for mapping government buildings in Bandung City using Leaflet.js. The system aims to facilitate interactive map visualization and provide more accurate and structured access to spatial data. The Agile method is applied in the system development process, consisting of six main stages: needs identification, design, development, testing, implementation, and evaluation. The system is designed using the Laravel or CodeIgniter framework as the backend and Leaflet.js for dynamic spatial data presentation. The research results indicate that the system can display geographic information accurately and interactively while supporting search, filtering, and responsive map display features across various devices. Additionally, the Agile approach has proven to enhance development efficiency and user experience. With this system, the government can manage building data more effectively, transparently, and efficiently to support planning and decision-making based on spatial data.

This study aims to examine in depth the level of effectiveness and obstacles faced in the use of RME. This study uses a qualitative descriptive approach that aims to describe in depth the effectiveness and obstacles in the use of RME at the Baleendah Health Center. Data collection techniques were carried out through triangulation, namely, observation, interviews, and documentation. The informants in this study consisted of three people, namely the Head of the Puskesmas, medical records officer, and a doctor. Overall, the results showed that the implementation of RME at the Puskesmas received full support from the management, including aspects of funding, training, technology, and regular evaluation of the problems faced. RME has become the main focus because it is considered more effective and efficient than manual systems, especially in accelerating and improving the accuracy of services. However, the implementation still encountered a number of obstacles, such as internet network disruptions in the early stages, which have now been resolved by adding devices at certain points. The limited number of IT experts is also an obstacle because it slows down the handling of technical problems. In addition, server disruptions still occur because data storage is centralized at Diskominfo along with 62 other Puskesmas in Bandung Regency, which causes delays in data access.

Geographic Information Systems (GIS) play a vital role in managing and analyzing data related to geographical locations. This research aims to develop a Geographic Information System to map the distribution of internship students at Stella Maris University, Sumba, based on their geographical locations. This system is expected to provide clearer and more detailed information regarding the distribution of internship students, making it easier for the university to plan and manage internship activities more efficiently. This system is built using web-based GIS software, with location data obtained from the university's internship management system. By utilizing GIS technology, users can easily access digital maps that show the locations of students' internships and analyze their distribution. The implementation of this system is expected to benefit students, the university, and partner companies in monitoring the progress of the internship program and ensuring its successful implementation. The advantage of this system is its ease of access and use, as well as its ability to provide more accurate and visual data. It is hoped that this system will serve as a reference for the development of similar systems in the future and contribute positively to higher education in Sumba

Building materials sales are an important sector in the construction industry, which requires an efficient system to manage transactions, inventory, and customer relationships. In an effort to improve the performance and efficiency of the sales process, this study proposes the implementation of a building material sales system using the Rapid Application Development (RAD) method at Toko Merah Delima. The RAD method was chosen for its ability to speed up the application development process with an iterative approach that involves direct user feedback. This research aims to design and implement a system that can automate the sales process, monitor stock of goods, and produce reports that can be accessed easily. The developed system includes integrated sales transaction management features, stock management, and sales reports. The results of the implementation of this system show increased efficiency in the management of transactions and stock of goods, as well as making it easier to monitor sales reports in real-time. By using the RAD method, this system can be developed in a shorter time and more in accordance with the operational needs of the store. This research is expected to contribute to the development of information systems for the building materials trading industry.

The rapid development of information technology requires training institutions to adapt in order to provide services that are effective, efficient, and aligned with user needs. Don Bosco Sumba Vocational Training Center (BLK) as an institution focused on enhancing community skills faces challenges in providing a system that is easily accessible and usable by trainees, instructors, and administrators. This study aims to design and develop a web- and mobile-based application using the User-Centered Design (UCD) approach to produce a system that truly fits user needs and preferences. The UCD method was applied through several stages, including user and context identification, needs analysis, solution design, and iterative evaluation of the developed prototype. Data were collected through interviews, observations, and questionnaires administered to various users within Don Bosco Sumba BLK. The findings show that the implementation of the UCD method improved usability, streamlined administrative processes, and enhanced user satisfaction with the developed system. Therefore, the development of this UCD-based application not only supports the improvement of service quality but also strengthens the effectiveness of training management at Don Bosco Sumba BLK. The implications of this study highlight the importance of applying a user-centered approach in the development of information systems within the vocational training sector.

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.

In supporting the learning process, teachers often use videos on YouTube, Instagram, and TikTok for learning media nowadays. One that can be used for learning media is Augmented Reality. Augmented Reality in the world of education has not been implemented and applied as a supporting medium for interactive education in schools, because no educational institution has implemented it as a mandatory media that functions as a learning tool. Muhammadiyah 12 GKB Gresik Middle School has a Digital Technology Class Program that strives to provide a forum for teachers and students to always actively use technology in learning in class and outside the classroom. With the material Reply for unbelievers, it is hoped that it can be visualized through Augmented Reality. Based on the background above, the author tries to explain the main statement (1) how to design an effective, efficient, and interesting Augmented Reality learning model for 8th grade students of the Quranic material, Surah Al Fajr, reply for unbelievers. (2) what are the advantages and disadvantages of the Augmented Reality learning media design. This study aims to describe the design of the Augmented Reality learning model so that it is effective, efficient, and interesting. As well as describing the advantages and disadvantages of Augmented Reality learning media design so that it can be effective, efficient and interesting for students. The research method used by researchers uses the Research and Development method by adopting the ADDIE development model in the first two steps: Analysis and Design. The results of the needs analysis on the use of Augmented Reality (AR) media in learning replies for non-believers, this is effective, efficient and interesting if used in the learning process for students, and is needed, especially in learning replies for non-believers.