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The implementation of digital technology in the judiciary system has become a cornerstone of public service improvement. This study examines the effectiveness of the E-Court application in optimizing public service quality at the Class 1A District Court of Batam City. The research employs a qualitative approach, utilizing data gathered through interviews, observations, and document analysis. Findings indicate that the E-Court application significantly enhances the accessibility, efficiency, and transparency of court services by reducing processing times, minimizing manual paperwork, and fostering accountability. However, challenges such as technical limitations, digital literacy gaps, and resource constraints impede its full potential. Recommendations include infrastructure enhancement, comprehensive user training, and policy support to maximize the benefits of digital integration in public service delivery. This study contributes to understanding the transformative role of technology in judicial administration and its impact on public satisfaction.

The integration of Artificial Intelligence (AI) in personalized and adaptive learning environments has revolutionized the education sector by offering customized learning experiences tailored to individual student needs. This study explores the role of AI in enhancing adaptive learning through data-driven insights, intelligent tutoring systems, and real-time feedback mechanisms. By employing machine learning algorithms and natural language processing, AI-driven platforms can analyze student performance, predict learning patterns, and deliver personalized content. The study highlights the effectiveness of AI in addressing diverse learning styles, improving engagement, and optimizing educational outcomes. Furthermore, it discusses the implications of AI in fostering inclusive education and lifelong learning. The findings suggest that AI-powered learning environments significantly enhance student-centered education, promoting efficiency and accessibility.

Bagelen bread is a processed dry bread product, processed by re-baking the finished bread to become dry bread. This study aims to determine the right  formulation of canna  starch substitution  for wheat flour in making bagelen dry bread, and to examine the effect of canna starch substitution on the physical properties, chemical properties and sensory properties of bagelen. The study was conducted at the Laboratory of Food and Agricultural Product Processing, Faculty of Agricultural Technology, University of 17 August 1945 Semarang. The research design used a completely randomized design (CRD) with 4 treatments and each treatment was repeated 3 times. Data were analyzed using Anova (Analysis of Variance) at a 95% confidence level. If significantly different, Duncan's Multiple Range Test (DMRT) will be carried out. The results of the analysis of physical hardness properties showed significant differences and the results of the color analysis (L a * b *) showed no significant differences. The results of the chemical properties analysis showed that there was no significant difference in water, ash and fat content, but there was a significant difference in protein and carbohydrate content in bagelen bread. The protein content of bagelen bread will decrease in line with the increasing portion of ganyong starch. Meanwhile, carbohydrate levels will increase as the number of canna starch substitutes increases. The results of the sensory properties analysis of color, aroma, taste and texture of bagelen bread showed significant differences. Substitution of canna starch up to 40% did not affect the level of preference for the attributes of taste, color, and aroma of bagelen bread, but the texture of the substitution with canna starch was less preferred.

In carrying out the process of processing health data and information, Medical Recorder and Health Information (PMIK) personnel are needed who have the ability to provide services to patients. The emergence of the Minister of Health Regulation Number 24 of 2022 concerning electronic medical records requires every health care facility to run electronic medical records, this makes the workload owned by PMIK reduced. So it is necessary to analyze the challenges of PMIK workload in facing the RME era. The method used is qualitative with a normative law study approach. The approach used for data collection is based on documentation studies through regulations, journals, and news. The tool used for data collection is a notebook. Data processing techniques using secondary data. In carrying out their duties, many Medical Recorders and Health Information (PMIK) still do not understand the use of existing systems properly, this causes delays in the processing of medical data. The abilities possessed by PMIK personnel in the RME era greatly affect the patient data processing process so that it is necessary to conduct training and skill development related to the correct use of the RME system in order to reduce the workload faced by officers.

The digital era in the industrial revolution 4.0 has brought significant changes in various aspects of life, including education. With the presence of increasingly sophisticated digital technology and the widespread use of Artificial Intelligence (AI), the education system is currently faced with new challenges to adapt to the times. However, the emergence of AI also has a negative impact on education, especially in the context of Technology and Vocational Education, namely increasing plagiarism, excessive dependence, lack of skill development, and weakening of culture, norms, and interactions between students and lecturers. This study aims to analyze the moral and ethical role in the use of AI in Technology and Vocational Education. The literature review research method is used in this study with a qualitative approach. Secondary data collection was carried out with the help of Google Scholar web technology and the bibliometric processing application VOSViewer. The data analysis technique applies the Miles & Hubberman model which consists of: data collection, data reduction, data presentation, and conclusion drawn. The results of the study show that morals and ethics play a central role in the utilization of artificial intelligence (AI) in Technology and Vocational Education in the digital era of the Industrial Revolution 4.0. The study also recommends strategic steps to ensure the use of AI in Technology and Vocational Education remains ethical and effective.

In today's fast-paced business environment, decision makers face the challenge of processing large amounts of data to make accurate decisions. Data visualization has emerged as a powerful tool to help organizations overcome these challenges. By presenting data in a visually appealing and easy-to-understand format, decision makers can quickly gain insights into complex data sets and make informed choices that drive business growth. This analysis aims to explore the impact of data visualization on business decision-making, focusing on the benefits of data visualization. This data analysis method will specifically investigate how data visualization can improve the decision-making process in the context of complex and large data sets, offering valuable insights in optimizing business operations. Demonstrating that interactive data visualization platforms such as Tableau play an important role in improving decision-making by providing real-time insights, identifying market trends, and enabling faster response to changes.

This Research to determine the influence of Celebrity Endorser, Brand Image, and Product Quality on the Purchase Intention of Wardah Cosmetics in Rimbo Bujang, Tebo Regency. The research population consists of all consumers of Wardah cosmetic products, which is an unlimited number, where a sample of 100 respondents was selected using the Purposive Sampling technique. (Sampel bertujuan). Based on the data processing results using SPSS, it was found that, partially, Celebrity Endorser has a positive and significant effect on the purchase interest in Wardah Cosmetics. Brand Image has a positive and significant effect on the purchase interest in Wardah Cosmetics, and Product Quality has a positive and significant effect on the purchase interest in Wardah Cosmetics. Simultaneously, Celebrity Endorser, Brand Image, and Product Quality together have a positive and significant effect on the purchase interest.

This study aims to determine the ratio of the concentration of the processing industry, labor absorption, and the value expenditure on labor in the province of bali. The data analysis method used in this analysis is the CR4 concentration analysis method. The data used is the analysis data on the number of large and medium processing industries, labor, and expenditure on labor in 2018 – 2021 obtained from the Central Statistic Agency (BPS) in the province of Bali. The result of this study indicate that : (1) In terms of CR4 analysis calculations, the concentration of the processing industry in the province Bali in 2018 – 2021 has a role in labor absorption. (2) In terms of CR4 analysis calculation, the concentration of the processing industry in province Bali in 2018 – 2021 has a role in the amound of expenditure given to labor. (3) In terms of CR4 analysis calculation, the concentration of the processing industry in the province Bali in 2021  has a role contributing to the PDRB in the province of Bali, as well as a comparison of the CR4 ratio in the province of Bali from 2018 – 2021.

This study aims to measure the effectiveness of video tutorial media on making platted brioche in improving the knowledge of Culinary Education Study Program at Jakarta State University. The research method used is pre-experimental with a One Group Pretest-Posttest design. The sample consists of 28 Culinary Education Study Program at Jakarta State University who are taking the Bread Processing course in the 121st semester of the 2024/2025 academic year. Based on the research results, the pre-test score in the normality test was 0,072, and the post-test score was 0,251, both of which are greater than the significance level of 0,05, indicating that the data is normally distributed. The homogeneity test results showed a  p-value of 0,582, which also exceeded the significance level of 0,05,indicating that the data is homogeneous. Hypothesis testing using the Paired Sample t-test resulted in a significance value of 0,00, which is less than 0,05, and a t-count > t-table, thus H1 is accepted and H0 is rejected. The N-Gain test result was 47,41%, which is included in the moderate category. Thus, there is a positive improvement in the learning process using the video tutorial media on making platted brioche, and the likert scale results show that 84,3% of respondents agree that the use of video tutorial media on making platted brioche is effective in enhancing knowledge.

The background of this community service focuses on the increasing need for data literacy in the digital age, particularly at SMKN 2 Kraksaan. The school faces challenges in improving students' understanding of data science, which is crucial for preparing them for Industry 4.0. The service aims to enhance students' data literacy through data science training, including understanding basic concepts, data processing techniques, and data analysis. The method involves delivering material, practical sessions using Python programming, and evaluation through pre-tests and post-tests. The training aims to help students understand and apply data science in practical contexts. Evaluation results show that the training is effective in improving students' understanding, with most participants showing significant improvement in their ability to read, process, and analyze data. Although the training facilities are adequate, it is recommended to enhance learning materials and additional resources for future training to ensure even better success.

Blessings in the business world are a concept that describes sustenance that is not only abundant in material aspects, but also provides positive impacts, peace, and goodness for business actors and the wider community. This study aims to investigate the blessings experienced by producers in milling cassava flour at UD Mulyo, a business that focuses on processing cassava flour raw materials and realizing producer blessings through employee and community welfare and environmental empowerment. By applying a descriptive qualitative approach, data were obtained through in-depth interviews and observations, which were then analyzed thematically. The research findings show that blessings in UD Mulyo's business are realized through the application of Islamic values, such as honesty in business management, maintaining product quality, and a commitment to improving the welfare of employees and the surrounding community. UD Mulyo not only contributes to the economy through job creation and increasing community income, but also creates social benefits through harmonious cooperation with the local community. This study confirms that blessings in business go beyond material benefits, but also include spiritual values, social balance, and business sustainability.

Coir is one of the components of coconut that can be produced and decomposed into derivative products that have economic value. PT Coco Berdikari, established in 2018 in Karya Maju Village, Sungai Saren Sub-district, Tanjung Jabung Barat Regency, is a pioneer in the coconut fibre processing industry in the region. The company's main focus is processing coconut fibre into cocopeat, cocosheet and cocofiber. Based on the results of the research, it was found that the challenges in coir waste processing are the high export costs that are a barrier to accessing the international market and the lack of support from the local government for the coir waste processing business. This study describes the processing of coir waste into products that have economic value using qualitative research methods. The data collection techniques used were observation, interview, and documentation.

This research uses visitor satisfaction as a mediating variable to examine and ascertain how emotional marketing and destination image affect positive electronic word-of-mouth in relation to Siantar Zoo tourism. Tourists who have been to Siantar Zoo made up the study's population. There are 271 responders in the sample utilized in this investigation. A questionnaire survey is the method used in this research to gather data. Descriptive analysis and the Structural Equation Model (PLS) were used in the data analysis process. Smart-PLS version 4 was utilized for data processing in the research. According to the study's findings, tourist satisfaction was positively but marginally impacted by emotional marketing. Tourist satisfaction was positively and significantly impacted by destination image. Positive Electronic Word of Mouth was significantly and favorably impacted by emotional marketing. Positive Electronic Word of Mouth is significantly and favorably impacted by destination image. Positive Electronic Word of Mouth is positively and significantly impacted by visitor satisfaction. Positive Electronic Word of Mouth via Visitor Satisfaction is not much impacted by emotional marketing. Through visitor satisfaction, destination image significantly influences positive electronic word-of-mouth. Determination Coefficient studies show that destination image, emotional marketing, and visitor satisfaction account for 56% of positive electronic word-of-mouth.

The management of service centers at the Indonesian Rede Cross (PMI) in East Jakarta is still conducted manually, which slows down service processes and increases the likelihood of data processing erorrs. This research aims to design a Java-based application to automate patient registration, admission, handling, emergency services, available ambulance data, and the preparation of reports as quickly as possible. The application was developed using the Java programming language with a prototype model approach in software development. Testing results indicate that this application successfully enhances the efficiency and accuracy of PMI East Jakarta’s operations, particularly in managing data related to patients, actions, personnel, and ambulance availability. It is hoped that this application can be integrated with other PMI regions to establish a more structured and connected service management system.

This paper presents the design and implementation of an automatic Virgin Coconut Oil (VCO) making device using an Arduino Uno microcontroller. Virgin Coconut Oil has gained popularity due to its health benefits and versatile uses in various industries. The traditional process of making VCO involves manual effort and precise timing, which can be tedious and inconsistent. The proposed automated system aims to streamline the VCO production process by integrating sensors, actuators, and a microcontroller to achieve precise control and monitoring of the process variables. The Arduino Uno microcontroller serves as the central unit for data acquisition, processing, and control, facilitating automation through programmed logic. Key components of the automated VCO maker include temperature sensors for monitoring heating stages, a motor for stirring, and relays for controlling heating elements. The system utilizes feedback loops to maintain optimal conditions during each phase of VCO production, ensuring reproducibility and quality. The design also emphasizes user-friendly operation, with an interface that provides real-time feedback on process parameters and allows manual intervention if necessary. Safety features are incorporated to prevent overheating and ensure operational reliability. Overall, the developed automatic VCO maker offers a practical solution to enhance the efficiency and consistency of VCO production, catering to both small-scale producers and commercial enterprises in the food and cosmetic industries

The demand for real-time performance monitoring in the Industry 5.0 era encourages organizations to adopt integrated approaches to management control systems. This study aims to develop and validate a Balanced Scorecard (BSC)-based performance evaluation model integrated with computerized accounting systems to enhance managerial decision-making quality. The research employs a Research and Development (R&D) approach, following systematic stages of model development including needs analysis, system design, prototype construction, and expert validation. Primary data were obtained from three management accounting experts and two information system practitioners who evaluated the model using five key criteria: accuracy of key performance indicators (KPI), ease of use, indicator relevance, data visualization quality, and implementation feasibility. The findings reveal that all criteria achieved average scores above 4.0 on a five-point scale, indicating a high level of expert consensus and confirming the model’s conceptual validity. The highest scores were recorded for KPI accuracy (4.5) and implementation feasibility (4.4), demonstrating the model’s potential for real-world application. The novelty of this study lies in its integration of BSC metrics with real-time accounting data processing through the R&D approach, resulting in a systematic framework for performance monitoring. Future research is recommended to enhance dashboard interactivity and conduct field implementation testing to measure the model’s impact on decision-making quality.

Data and information play a strategic role in organizational systems theory, particularly in supporting fact-based decision-making processes. In this theory, organizations are viewed as open systems that continuously interact with their environments. Data serves as raw material that, through analysis, is transformed into actionable information to understand the internal and external dynamics of organizations. Accurate and relevant information helps organizations manage complexity, identify opportunities, and address challenges in ever-changing environments. The data management process encompasses collection, storage, analysis, and distribution, enabling integration across organizational units and enhancing synergy. Additionally, information-based feedback systems are vital for measuring organizational performance and driving continuous innovation. The effective use of data and information not only improves operational efficiency but also supports strategic planning and adaptation to market changes. In the context of digitalization, the role of data and information has become increasingly critical, as technology enables the processing of large-scale data more quickly and accurately. This article explores how data and information, as core components of organizational systems theory, can be utilized to create added value and support organizational sustainability in the modern era.      

I nternship is an essential part of the educational process that provides students with the opportunity to gain practical experience in the workplace. This study aims to evaluate the experience gained during the internship at PT. Pegadaian (Persero) UCP Kapasan, which took place from July 8 to November 8, 2024. During the internship period, participants gained insight into the management of Pegadaian’s products, organizational skills, teamwork, as well as communication and customer service. Additionally, the interns gained experience in marketing products and processing customer data. This internship experience helped participants develop interpersonal skills, accuracy, and work discipline. The results of this internship activity provide valuable insights for improving internship programs in the future.

Technological advancements have brought significant transformations across various fields, including the application of machine learning in recommendation and classification systems. Machine learning leverages data processing, utilizes algorithms, and efficiently identifies patterns to produce accurate recommendations and predictions. This study aims to review machine learning-based recommendation system approaches, analyze model performance, and compare the algorithms used. A literature review was conducted by examining journals published in the past five years, focusing on algorithm implementation. The findings indicate that the Naïve Bayes algorithm delivers the best performance, achieving an accuracy of up to 97%. This algorithm is particularly well-suited for processing small to medium-sized datasets with high efficiency. The research provides comprehensive insights into the performance and limitations of various algorithms, serving as a valuable guide for future developments in the field.

Akuntansi Pemerintahan, sistem yang terstruktur untuk mengelola seluruh transaksi keuangan yang terjadi dalam entitas pemerintahan, mulai dari tingkat pusat hingga daerah. Proses ini melibatkan pencatatan, klasifikasi, agregasi, analisis dan pelaporan transaksi-transaksi tersebut. Meningkatnya perkembangan teknologi informasi telah membawa perubahan besar dalam bidang kehidupan, termasuk bidang akuntan publik. Memperkenalkan teknologi informasi ke dalam sistem akuntansi pemerintahan menghadirkan banyak manfaat dan tantangan. Teknologi informasi telah membuat akuntansi pemerintahan menjadi lebih efisien, akurat, transparan dan mudah dipahami. Hal ini pada akhirnya akan memberikan dampak positif bagi masyarakat karena pajak yang dibayarkan dapat dikelola dengan lebih baik. Teknologi informasi telah merevolusi cara pengelolaan keuangan pemerintah. Dengan menggunakan teknologi ini, kita dapat membangun pemerintahan yang lebih bersih, efisien dan lebih bermanfaat bagi rakyatnya. Salah satu penerapan teknologi informasi yang banyak digunakan oleh pemerintahan daerah maupun pusat yaitu sistem SAP ERP. Sistem SAP ERP adalah singkatan dari System Application and Product in Data Processing dan merupakan sistem informasi untuk mengintegrasikan berbagai proses bisnis dalam suatu perusahaan. Salah satu modul terpenting dari SAP ERP adalah modul Finance. Modul ini menyediakan berbagai fitur yang sangat berguna untuk pengelolaan keuangan perusahaan, seperti PT PLN. SAP ERP telah menjadi alat yang sangat penting bagi perusahaan seperti PT PLN untuk mengelola keuangannya secara efektif dan efisien. SAP ERP membantu perusahaan mencapai tujuan bisnis mereka dengan fungsionalitas komprehensif dan kemampuan integrasi tindak lanjut.