Village-level public service processes frequently encounter obstacles like drawn-out manual processes, restricted information availability, and rigid service schedules. In order to increase the effectiveness of village administrative services, specifically in the creation of the Certificate of Inability (SKTM), this project intends to develop a web-based information system. The waterfall technique, which comprises phases for requirements analysis, system design, implementation, testing, and maintenance, is used to construct the system. The PHP CodeIgniter framework and MySQL database are among the technologies utilized. According to test results, this technology can improve transparency and service efficacy, speed up document processing, and make it easier for residents to access services online. It is anticipated that this method will be a creative way to facilitate the digitization of village government.

A Development is carried out to reduce disparities between regions. The increase in human population is followed by the intensity of land and resource use, interactions and changes that occur, until nature has boundaries, or planetary boundaries. Sustainable development has 17 goals that are universal, comprehensive and involve all countries. How to implement sustainable development goals at the local level. This research aims to analyze the implementation of sustainable development goals at the local level, namely responsible industry and consumption. This research uses a quantitative approach, the research location is Kedunglengkong Village, Simo District, Boyolali Regency, Central Java Province. The research population is home industry owners with a population of 35 people, using total sampling or the entire population as the unit of analysis. The research variables are indicators of sustainable development goal 12, responsible consumption and productive patterns. The data source used is primary data collected through observation and in-depth interviews. Data analysis uses descriptive percentages, with tables and figures. The research results show that there are 35 home industries that use raw materials from plastic waste. The raw material used is plastic waste originating from the surrounding environment. Home industries that use plastic waste as raw material are a concrete manifestation of the implementation of responsible industry and consumption, in accordance with the Sustainable Development Goal indicators at point 12.5., namely by 2030, substantially reducing waste production through prevention, reduction, recycling and use return. Furthermore, in indicator 12.5.1 (a) the amount of recycled waste generated.

This study aims to determine the potential and obstacles of the digital economy in developing MSMEs in the city of Medan and then reviewed from the perspective of Islamic business ethics. This study is a descriptive qualitative type that presents narrative data about objects found in the field. The subject of this study is the Medan City Cooperative and MSME Service and the object is the digital economy. This research is motivated by the Indonesian government's efforts to make MSMEs go digital coupled with the existence of a pandemic that forces economic activities to increasingly move towards digitalization so that MSMEs as a milestone in economic progress must actively move to follow the changing times. The data collection techniques used are interviews, observations, and documentation. The results obtained are: In the city of Medan, the digital economy system has been intensified for MSME actors, the Medan City Cooperative and MSME Service supports through consultation, training, and assisting MSME actors to develop their businesses digitally. Until now, there have been 3000 Medan City MSMEs that have registered as Fostered MSMEs at the Medan City Cooperative and MSME Service. This means that all the breakthroughs that have been made by the Medan City Cooperative and UMKM Service bring good news for the potential of the digital economy. However, in addition to all that, there are still many UMKM actors who are not aware of the digital economy, which is caused by low human resources, not yet technologically proficient, and still consider the system troublesome and choose to be stuck with a manual system.

This study examines the compliance of law enforcement officers with human rights (HR) principles during investigative practices in Indonesia using a quantitative approach. Despite Indonesia's commitment to HR protection, significant gaps persist in the enforcement of rights, such as access to legal counsel and humane treatment. The study aims to evaluate the level of HR compliance, identify influencing factors, and propose actionable solutions to improve investigative practices. The research employed a survey methodology involving 400 respondents, including law enforcement officers, suspects, witnesses, and lawyers. Key indicators analyzed include the treatment of detainees, the right to information, access to legal representation, and mechanisms for reporting HR violations. The collected data were analyzed statistically using descriptive and inferential methods to identify compliance patterns and underlying factors. Findings reveal that HR compliance during investigations remains moderate. While 62% of respondents acknowledged adherence to the right to information, only 45% reported consistent access to legal representation, and 38% experienced inhumane treatment. Factors such as officer training, independent oversight mechanisms, and the integration of technology positively influence compliance. However, challenges like case resolution pressure and limited public awareness of reporting mechanisms hinder broader compliance. The study contributes theoretically by highlighting the multifaceted nature of HR compliance, emphasizing the roles of training, oversight, and technology. Practically, it provides recommendations for policymakers to enhance HR-focused training, promote the use of technology in investigations, and improve the accessibility and transparency of reporting systems. Limitations include geographical constraints and potential biases in self-reported data, suggesting avenues for future research to adopt longitudinal approaches and broader samples. This research advances understanding of HR compliance in law enforcement and offers practical insights for fostering fair and HR-centered investigative practices in Indonesia.

The gig economy has emerged as a global phenomenon, reshaping traditional work patterns, including in Indonesia. While offering flexibility to workers, this work model poses significant challenges concerning legal protection, especially in work relationships mediated by digital platforms. Gig workers often find themselves in vulnerable positions due to insufficient regulations and an imbalance in bargaining power between them and digital platforms. This study aims to analyze the legal protection for gig economy workers in Indonesia from a civil law perspective, highlighting gaps in existing regulations and offering recommendations for reform. This research employs a qualitative approach with a descriptive-analytical method. Data were obtained through literature review, analysis of electronic work contracts, and comparisons with gig economy regulations in other countries, such as the European Union and the United States. The findings reveal that electronic work contracts used by digital platforms in Indonesia are often unfair and favor the platforms. Furthermore, Indonesia’s gig economy regulations do not provide adequate protection, unlike countries such as the European Union, which have established minimum standards for gig workers' protection. This imbalance adversely affects gig workers’ welfare, including financial insecurity and lack of access to social security. This study contributes to the development of a more inclusive and equitable regulatory framework for gig workers in Indonesia. The implications include the need for civil law reforms to govern gig economy work relationships and the use of technology as a tool to enhance legal oversight. This research also lays the groundwork for future studies exploring the implementation of gig economy regulations in the context of other developing countries.

This research aims to produce mathematics learning tools with the Guided Discovery Learning (GDL) Model which is Valid, practical, and effective to improve the mathematical problem-solving abilities of students in class VII SMP/MTsN. The Plomp model is used because it is more flexible than Plomp's other models; beside that, at each step, it contains activities development that can be adapted to the characteristics of the research. Instruments were used during the study in the form of observation sheets, interview guidelines, questionnaires, validation sheets, learning tools, and tests of mathematical problem-solving skills learners. The results of the validity test show that the GDL-based mathematics learning tool is declared valid according to the experts. The results of the practicality test show that GDL-based mathematics learning tools are practical based on teachers and students as users. The effectiveness test results show that students' learning outcomes after learning are better by showing the percentage of completeness that reaches 75.86% exceeding the specified effectiveness limit of 70%. In addition, the device is said to be effective; it can be seen from the activities of students during the learning process that it has increased. Based on the validity, practicality, and effectiveness tests, the mathematics learning tools based on GDL in the Association material for Class VII Junior High School students are valid, practical, and effective

This study aims to analyze teachers' efforts in forming disciplined attitudes in grade III students of SDN Tanjung Jati 2. The main focus of this research is on the efforts teachers use to instill discipline and the factors that support and hinder this process The approach used in this study is qualitative, with data collection through interviews, observations, and documentation aimed at grade III teachers. The results of the study revealed that: 1) Teachers' efforts in forming students' disciplined attitudes include habituation, role models, application of punishment, giving rewards, and consistency in implementing rules. 2) Factors that support teachers' efforts in forming students' disciplined attitudes include the active role of the principal, cooperation between teachers, and parental involvement. 3) Conversely, factors that hinder the formation of students' disciplined attitudes include the influence of social interactions between students and the less supportive attitudes of parents.

Online gambling has become a rapidly growing social issue supported by advancements in digital technology, particularly in Indonesia, with its large population of internet users. Despite being legally prohibited, its popularity continues to rise, creating challenges for law enforcement and significant socio-economic impacts. This study aims to analyze the social and economic dynamics of online gambling actors using a descriptive qualitative method. Data were collected through in-depth interviews and document analysis, then analyzed using thematic coding techniques. The findings reveal that actors, such as Koh Jimmy, learn deviant behaviors through exclusive online communities that provide operational techniques and moral justification. Economic motivation, social support, and gambling systems designed to induce addiction are key drivers of actor involvement. Although aware of legal risks, actors remain engaged due to community influence and substantial financial gains. This study underscores the relevance of differential association theory in explaining actor involvement in online gambling and provides recommendations for preventive policies through technological oversight, social education, and the strengthening of social norms. The results are expected to serve as a foundation for formulating more effective preventive and intervention measures.
 

This study presents a Quantum Machine Learning (QML) architecture for perfectly classifying the Iris flower dataset. The research addresses improving classification accuracy using quantum models in machine-learning tasks. The objective is to demonstrate the effectiveness of QML approaches, specifically the Variational Quantum Circuit (VQC), Quantum Neural Network (QNN), and Quantum Support Vector Machine (QSVM), in achieving high performance on the Iris dataset. The proposed methods result in perfect classification, with all models attaining accuracy, precision, recall, and an F1-score of 1.00. The main finding is that the QML architecture successfully achieves flawless classification, contributing significantly to the field. These results underscore the potential of QML in solving complex classification problems and highlight its promise for future applications across various domains. The study concludes that QML techniques can offer transformative solutions in machine learning tasks, particularly those leveraging VQC, QNN, and QSVM.

This study aims to determine how effective the interactive learning media Wordwall is in increasing students' learning motivation in the subject of Natural and Social Sciences (IPAS) in elementary schools. Wordwall provides interesting educational game features, so it is expected to arouse students' interest and enthusiasm in learning IPAS. This study uses an experimental method with a pre-test and post-test design in the control and experimental groups. Participants in this study were fourth grade students in an elementary school. Data on students' learning motivation were collected through questionnaires and analyzed using statistical tests to see the difference in increased motivation between the group using Wordwall and the group using conventional methods. The results showed that the use of Wordwall significantly increased students' learning motivation compared to conventional learning methods. Therefore, Wordwall can be an effective alternative learning media to support students' learning motivation in the subject of IPAS in elementary schools.