Publication Search

The development of information and communication technology has increased the use of electronic documents in legal and business activities, thereby affecting the evidentiary system in Indonesian civil procedural law. This study aims to analyze the legal regulation of electronic evidence and its evidentiary strength in resolving civil cases under Indonesian civil procedural law. The research method used is normative juridical research with statutory and library research approaches. The data were obtained from primary and secondary legal materials and analyzed qualitatively. The results show that electronic evidence has been legally recognized through Law Number 11 of 2008 in conjunction with Law Number 19 of 2016 concerning Electronic Information and Transactions. Its evidentiary strength has the same legal position as other forms of evidence as long as it fulfills the requirements of authenticity, integrity, and validity of electronic data. Therefore, more detailed regulations regarding authentication standards and examination procedures for electronic evidence are still needed to ensure legal certainty in civil court practices.

This study examines the foundational framework and evolving dynamics of Indonesian civil procedural law (Hukum Acara Perdata) amid its transformation from colonial legal heritage toward a modern, digitalized justice system. Using normative-doctrinal legal research methodology combined with empirical court statistics from 2022–2024, the study analyzes four dimensions: (1) core procedural principles rooted in the HIR and RBg; (2) the mandatory mediation framework under PERMA No. 1 of 2016; (3) the evolution of evidence law toward electronic evidence under the amended UU ITE (Law No. 1 of 2024); and (4) mechanisms of judicial decisions and legal remedies. Findings show that e-court implementation has dramatically increased efficiency minutasi productivity rose from 64.35% (2022) to 96.50% (2024)—while 594,816 users registered through e-court by 2023. The study concludes that Indonesia’s civil procedural law is actively adapting to technological disruption, though structural challenges such as digital inequality, electronic evidence authentication gaps, and regulatory harmonization remain unresolved.

The presence of Generation Z, who grew up entirely in the digital era, has triggered a fundamental transformation in Muslim religious practices, where social media has replaced conventional religious institutions as the primary source of religious information. This condition creates a paradox: Gen Z has become a generation that is highly religious online, yet is often disconnected from physical communities and traditional religious authorities. This study aims to analyze the character of Muslim Gen Z religiosity, identify its forming factors, and examine the impact of the digital era on their religiosity. This study employed a descriptive qualitative approach using a library research method. The findings indicate that Muslim Gen Z religiosity is characterized by personalization, flexibility, and digital spirituality, strongly influenced by social media. These characteristics are shaped by massive digital technology accessibility, the effectiveness of contextual Islamic preaching on platforms such as TikTok, as well as spiritual needs and social pressure from the digital environment. The digital era brings positive impacts in the form of increased accessibility and religious literacy, but also negative impacts including shallow religious understanding, vulnerability to information bias, and potential exposure to extreme ideologies. This study implies the importance of an integrated digital religious literacy strategy through critical thinking-based Islamic Religious Education curriculum reform, enhancement of educators' digital capacity, and cross-sector collaboration to strengthen Gen Z's moderate and reflective religious understanding.

The field of education, especially Islamic Religious Education (PAI), has seen substantial changes as a result of the advancement of digital technology and artificial intelligence (AI). The existence of digital media and AI offers numerous opportunities to improve the effectiveness, efficiency, and quality of education through interactive, flexible, and easily accessible learning resources. The purpose of this article is to analyze how artificial intelligence (AI) and digital media are used in Islamic Religious Education. This includes the idea of AI and digital media, AI-based learning materials, the use of AI in educational activities, ethical considerations of AI use, the effects and difficulties of integrating AI, and the Islamic viewpoint on technological advancement. This study employed a library research method by collecting data from relevant journals, books, and other scholarly sources. The findings indicate that the use of AI and digital media in PAI learning can enhance access to information, personalize learning experiences, improve evaluation effectiveness, and increase student engagement in the learning process. However, the implementation of AI also presents several challenges, such as limited digital literacy among teachers, inadequate facilities and infrastructure, ethical concerns, and the potential decline of direct educational interaction between teachers and students. Therefore, the utilization of AI in Islamic Religious Education should be carried out wisely while maintaining Islamic values, ethics, and the primary goal of Islamic education in shaping students’ character.

This study aims to develop a financial saving application to improve the saving habits of students, particularly in Islamic boarding schools, through an adaptive challenge approach. The system integrates a mobile iOS application with a backend service and Large Language Model (LLM) processing via Ollama. Transaction data entered by users is processed by the backend to generate contextual and personalized saving challenges, applying Reinforcement Learning concepts in an adaptive and data-driven manner. The research adopts a descriptive quantitative method using surveys and system testing with 50 respondents. Results indicate that the application functions as designed, with no significant bugs detected. User evaluation shows high satisfaction, with an average score of 4.3 out of 5, covering ease of use, interface design, and increased awareness of saving. The combination of gamification, reward systems, and adaptive personalization successfully motivates users to save regularly. This system demonstrates the potential of integrating AI-driven personalization to strengthen financial literacy and healthy financial habits among students in a fun and interactive way.methods, and a summary of the results. The abstract should end with a comment about the significance of the results or conclusions brief.

The dissemination of personal data through digital media has increased significantly alongside the growing use of Quick Response (QR) Codes for various purposes, such as electronic tickets, certificates, and digital identities. Conventional QR Codes are open and can be easily scanned, copied, or manipulated by unauthorized parties. The personal data referred to in this study includes sensitive information such as full name, identity number (NIK/National ID), date of birth, address, phone number, and email address. This research proposes a layered security system that combines the Advanced Encryption Standard (AES) cryptographic algorithm with steganography using the Discrete Cosine Transform (DCT) method. The process begins with encrypting personal data using AES, converting the encrypted result into a QR Code, and embedding the QR Code into a digital image using DCT, hiding it in the image’s frequency domain. The digital images used are of fixed size and formats that preserve visual quality. System evaluation is carried out by testing the visual quality of the stego image, the success rate of QR Code extraction, and the integrity of the encrypted data. The results are expected to conceal sensitive information visually while maintaining its confidentiality, with potential applications in electronic ID cards, digital certificates, e-tickets, and other confidential documents.

This study aims to examine the debate regarding the effectiveness of traditional learning methods in science education at Madrasah Ibtidaiyah (MI) amid the development of educational digitalization. The study employed a qualitative approach with a case study design conducted in Jember Regency for three months, from February to April 2026. The research informants consisted of 16 participants, including madrasa principals, teachers, parents, and community members. Data collection techniques were carried out through interviews, observations, and documentation, which were then analyzed using descriptive qualitative techniques. The findings revealed that traditional methods are still considered effective in helping students understand basic science concepts because the learning process is systematic and easy to comprehend. However, limited access to technology in several schools remains an obstacle to the equal implementation of digital learning. In addition, although digital learning can increase students’ motivation and engagement, it does not necessarily lead to an optimal improvement in conceptual understanding. Therefore, this study concludes that a combination of traditional and digital learning methods is the most appropriate approach in science learning at elementary schools and Madrasah Ibtidaiyah, considering students’ needs as well as the availability of facilities and infrastructure. structure.

Sign language recognition is one of the areas of image recognition and image processing technology that is developing rapidly in human-computer interaction. This technology really helps the deaf and speech impaired in communicating with non-disabled people. This research aims to examine the optimization of an object tracking system in sign language using the Gaussian Mixture Model (GMM) and Kalman Filter by including the Region of Interest (ROI). The proposed system consists of three main components, namely hand detection, object extraction, and classification. Hand detection is done using the Kalman Filter to track hand movements accurately. Next, Region of Interest (ROI) features, such as shape, direction and movement features, are extracted from the detected part of the hand. These features are fed into a Gaussian Mixture Model (GMM) classifier, which can recognize sign language based on the extracted features. With the combination of GMM and Kalman Filter in this research, it can increase accuracy in object tracking, reduce interference from the background, and ensure the tracking focus remains on important objects. The dataset used is in the form os SIBI alphabet symbols, namely A-Z with the amount of data for each class, namely 620 images. Based on the research result, model testing using GMM, Kalman Filter and ROI produces higher accuracy of 99%, while model testing using GMM and ROI produces accuracy of 90%.

Sleep duration and sleep quality are essential physiological needs that play a significant role in the emotional and behavioral development of children aged 3–6 years. Adequate sleep supports brain development, cognitive functioning, emotional regulation, and social interaction skills in early childhood. Conversely, poor sleep duration and low sleep quality may negatively affect children’s attention, mood stability, and ability to interact socially with peers and caregivers. This article is a literature review using a systematic review approach that analyzes 10 scientific articles published between 2016–2026 to evaluate the relationship between sleep duration and sleep quality with emotional and behavioral problems in preschool children. The article selection process followed the PRISMA flow diagram, with articles sourced from Google Scholar, PubMed, and ScienceDirect databases. The findings consistently indicate that inadequate sleep duration and poor sleep quality are associated with increased emotional and behavioral problems, including hyperactivity, anxiety, emotional dysregulation, and difficulties in social interaction among children. Furthermore, sleep disturbances were found to negatively influence children’s emotional self-regulation abilities, which are crucial for adaptive behavior. Therefore, ensuring adequate sleep duration and improving sleep quality are important strategies to support optimal emotional and behavioral development in preschool-aged children.

This study aims to examine the effectiveness of assertive communication techniques in cross-cultural counseling for reducing avoidance behavior among students experiencing interpersonal friendship conflicts. Cultural differences between counselors and clients may influence communication patterns, emotional expression, and conflict resolution processes during counseling sessions. Friendship conflicts among university students commonly arise from jealousy, misunderstanding, social comparison, and ineffective interpersonal communication. These conditions often encourage students to avoid direct interaction to prevent further conflict. This study employed an experimental method using a One Group Pretest-Posttest Design. The participants were students who experienced friendship conflicts and demonstrated avoidance behavior tendencies. Data were collected through counseling individual. The intervention was delivered through counseling sessions that used assertive communication techniques and combined behavioral and humanistic approaches in a cross-cultural counseling setting. The findings revealed that assertive communication techniques were effective in reducing students’ avoidance behavior. After receiving the intervention, participants demonstrated greater confidence in expressing opinions, improved emotional regulation, increased openness in communication, and healthier interpersonal relationships. The study indicates that assertive communication in cross-cultural counseling can serve as an effective counseling strategy to help students manage interpersonal conflicts and improve social adjustment in higher education environments.

The development of the digital economy has driven increased customer interaction through online chat services, making customer satisfaction a key factor in business success. Response speed and chat service quality are two important aspects in shaping the customer experience, but previous research has tended to examine them separately. This study aims to analyze the influence of online chat services and response speed on customer satisfaction partially and simultaneously. The method used is a qualitative approach with a literature review of 12 scientific articles from 2020–2025 obtained from academic databases such as Google Scholar and SINTA. The analysis technique used is descriptive-critical through the identification, comparison, and synthesis of previous research findings. The results show that online chat services have a positive effect on customer satisfaction, primarily through interaction quality such as information accuracy, ease of use, and problem-solving ability. Response speed has also proven to be an important determinant, where a fast response significantly increases customer satisfaction. However, speed without quality has the potential to decrease satisfaction. The discussion shows that the two variables have a complementary and inseparable relationship. Online chat services function as a medium for interaction, while response speed is a quality attribute that determines the effectiveness of the service. Therefore, the integration of both in one model is the main contribution of this research in filling the literature gap, especially in the context of e-commerce in Indonesia.

Flooding is one of the most frequent disasters in DKI Jakarta and contributes not only to physical and economic losses but also to the emergence of various psychological problems among affected communities. This study aims to analyze the psychological impacts of post-flood disasters, particularly among vulnerable groups such as children and the elderly, and to examine the effects of repeated flood exposure on mental health conditions. This study employs a literature review method with a qualitative descriptive approach through the identification and synthesis of relevant scientific sources. Data analysis was conducted using content analysis to identify patterns, relationships, and trends in research findings. The results indicate that flooding is associated with psychological disorders such as stress, anxiety, depression, and post-traumatic stress disorder (PTSD), with varying levels of severity. Repeated exposure to flooding has been shown to increase individuals’ vulnerability to mental health problems and reduce psychological well-being. However, protective factors such as social support, religiosity, emotional regulation abilities, and adaptive coping strategies play a significant role in strengthening resilience and accelerating psychological recovery. The findings highlight the importance of a holistic disaster management approach that integrates mental health services, strengthens community capacity, and enhances preparedness education to improve the psychological resilience of flood-affected communities.

This research is grounded in the understanding that employees are the core of organizational sustainability, and their job satisfaction is shaped not only by daily tasks but also by the organization’s ability to manage workload and support balance between work demands and personal life. This study aims to analyze the effect of workload and work-life balance on employee job satisfaction at the Class I Correctional Center (Bapas) Makassar. Using a quantitative approach, data were collected through questionnaires distributed to 54 employees and analyzed using multiple linear regression assisted by SPSS Statistics 25. The research variables consist of workload and work-life balance as independent variables, and job satisfaction as the dependent variable. The findings indicate that workload has a positive and significant effect on job satisfaction, suggesting that employees’ perception of being able to complete tasks effectively can increase their comfort and confidence at work. Work-life balance also shows a positive and significant influence, indicating that the ability to manage both work responsibilities and personal life contributes directly to greater feelings of satisfaction, stability, and motivation in performing duties. Simultaneously, both variables significantly affect job satisfaction, emphasizing the importance for organizations to regulate workload proportionally while providing space for employees to maintain a healthy life balance. These findings highlight that effective workload management and support for work-life balance are crucial organizational investments to foster a healthy, productive, and employee-centered work environment.

Public service institutions currently utilize digital technology to improve information accessibility for society. Satres PPA and PPO Polresta Banyumas has an important role in providing services, protection, and education related to violence cases against women and children. However, information regarding services, reporting procedures, and educational materials is still not fully accessible to the public. This study aims to design and develop a service and educational website for Satres PPA and PPO Polresta Banyumas using the Laravel framework. The research method used in this study is the Waterfall method, which consists of requirement analysis, system design, implementation, testing, and maintenance stages. The website was developed using Laravel, MySQL, and Bootstrap to support responsive interface design. The results show that the developed website is able to provide service information, educational articles, reporting procedures, and contact information effectively. System testing results indicate that all website features function properly according to user requirements. The website is expected to improve public access to information and increase awareness regarding the protection of women and children.

This study aims to analyze the implementation of information technology in improving the quality of public services. The research method used is library research by collecting and analyzing various scientific sources, such as journals, books, research articles, and government documents related to information technology and public services. The results show that the implementation of information technology through online service systems, official websites, and administrative information systems is able to improve the effectiveness, efficiency, transparency, and accessibility of public services. Information technology also helps accelerate administrative processes, reduce data management errors, increase employee productivity, and strengthen communication between the government and the community. In addition, the implementation of information technology supports the realization of e-government and good governance through increased accountability and information transparency. However, the implementation of information technology still faces several challenges, such as limited human resources, inadequate technological infrastructure, unstable internet connections, and the low ability of some communities to use digital services. Therefore, it is necessary to improve employee competencies, develop technological infrastructure, and conduct public socialization to optimize the implementation of information technology in public services. Overall, information technology has proven to be a strategic solution in creating modern, effective, efficient, transparent, and community-oriented public services.

Gorontalo Province has abundant freshwater resources, yet lacks integrated and sustainable aquaculture facilities. This article presents the conceptual design of a Freshwater Fish Aquaculture Center in Gorontalo Province as a response to this condition, applying Ecological Architecture as the primary design approach. The designed area accommodates various activities including freshwater fish cultivation, education, tourism, as well as research and development of fisheries technology. The method used is a qualitative descriptive approach through literature studies, field observations, interviews, and precedent studies. The design results show that the area can be divided into four main zones: the aquaculture zone, education zone, tourism zone, and supporting zone. The ecological approach is realized through the use of natural lighting and ventilation, environmentally friendly materials, an integrated water management system, and the maximization of green open spaces. This design is expected to increase fisheries productivity while promoting community empowerment through educational activities and environmentally sustainable tourism.

Dijkstra's algorithm is one of the algorithms in graph theory that is used to solve the problem of the shortest path of a graph at each vertex that has a non-negative value. This algorithm was discovered by Edsger Wybe Dijkstra, a scientist from the Netherlands. The search for the shortest route for product delivery can be calculated through the application of the Dijkstra algorithm in the problem being faced. The problem of decision making for selecting the shortest route is still manual, so it experiences several obstacles, including the absence of a systematic and computerized system to assist the decision-making process in determining the route for shipping goods, the determination of shipping routes still depends on manual estimates so that the time taken between deliveries becomes inconsistent, the operational costs of shipping are relatively high because there is no optimal route determination system. Facing these problems, a system is needed that can minimize delays and increase effectiveness in shipping goods, namely determining the shortest route using the Dijkstra algorithm. This system works by finding various alternative routes for shipping goods at PT AMSA to address various structured and unstructured problems using data and models. To process this data and models, a method called the Dijkstra algorithm is required. Based on the description above, researchers will create a method for determining the shortest route for shipping goods at PT AMSA using the Dijkstra algorithm to facilitate the company's process of determining the shortest route.

This research investigates the effect of the amount of MSMEs, the number of buildings, and GRDP on regional tax revenue in selected cities and regencies in South Sulawesi, driven by the inconsistency between the growth of economic potential and the realization of tax revenue, where increases in MSMEs, buildings, and GRDP are not always followed by higher tax receipts. The study aims to analyze the effect of these variables and identify the most significant factors contributing to regional fiscal capacity. A quantitative approach is employed using panel data that combine time series and cross-sectional data from 2015-2024, analyzed through panel data regression with model selection based on Chow, Hausman, and Lagrange Multiplier test. The results show that partially, MSMEs and the number of buildings do not have a significant effect on tax revenue, while GRDP has a positive significant impact; however, simultaneously, all variables significantly influence tax revenue, as indicated by a high Adjusted R-squared value. These findings suggest that economic growth, as proxied by GRDP, plays a more dominant role in increasing tax revenue compared to the mere increase in the number of MSMEs and buildings, implying that optimizing tax revenue requires not only expanding economic potential but also enhancing tax compliance, administrative efficiency, and the quality of economic growth.

Stunting remains a persistent nutritional challenge that threatens human capital development in Indonesia. This study examines the effects of exclusive breastfeeding, female education, sanitation, access to safe drinking water, inadequate food consumption, and poverty on stunting prevalence across 34 provinces in Indonesia during 2017–2024. The study employs a random-effects Panel EGLS estimator with Panel Corrected Standard Errors (PCSE) to address heteroskedasticity and cross-sectional dependence in provincial panel data. The findings reveal that exclusive breastfeeding, female education, and adequate sanitation significantly reduce stunting prevalence, while poverty significantly increases it. Interestingly, inadequate food consumption is negatively associated with stunting prevalence, potentially reflecting the contribution of government nutritional assistance and social protection programs. In contrast, access to safe drinking water does not show a statistically significant effect. Among the explanatory variables, female education is strongly associated with reductions in stunting. These findings highlight the importance of strengthening women’s education, improving sanitation quality, and expanding poverty-alleviation and nutrition-sensitive interventions to accelerate reductions in stunting and support the achievement of Sustainable Development Goal 2 in Indonesia.

This study aims to analyze the environmental impact of waste generated by the gecko processing home industry based on environmental law regulations in Indonesia. In its processing activities such as lizards and snakes. These activities produce organic waste in the form of animal organs, blood, body fluids, and other waste in the materials that are later utilized as catfish feed. The research method used is qualitative with a normative juridical approach, statutory approach, and literature study. Data were obtained from laws and regulations , scientific journal, and environmental law literature. The results of the study indicate that the disposal of waste into rivers can increase Biological Oxyen Demand and Chemical Oxygen Demand (COD) levels, cause unpleassant odors, and reduce water quality and public health. The utilization of waste as catfish feed can reduce the amount of waste disposed of, however, it still requires hygienic processing to prevent biological risks. From the perspective of environmental law, the direc disposal of the waste into rivers is not in accordance with Law No. 32 of 2009 concerning Environmental Protection and Management and Government Regulation No. 22 of 2021 concerning the Implementation of Environmental Protection and Management. Therefore, better waste management is needed through proper waste treatment, increased awareness among business actors, and goverment supervision so that home industries can operate sustainably and in an environmentally friendly manner