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This study explores the effectiveness of restorative and civil governance models in resolving environmental disputes at the local government level. As environmental conflicts become more complex and widespread, traditional legal approaches often fail to provide quick, sustainable solutions. Restorative governance models, which prioritize community involvement, collaboration, and the restoration of relationships, offer a promising alternative to adversarial legal proceedings. The research combines policy analysis and semi-structured interviews with local government officials, mediators, and community representatives to assess the implementation and outcomes of these models in real-world contexts. Findings indicate that restorative practices, when integrated with civil governance mechanisms, significantly reduce dispute resolution times (a 40% improvement) and enhance community satisfaction compared to traditional litigation processes. These models foster a more inclusive and cooperative environment, ensuring that all stakeholders, including local communities, are actively involved in decision-making processes. However, challenges such as legal framework rigidity, political pressures, and resource limitations still impede the widespread adoption of restorative practices. The study concludes with recommendations for integrating restorative approaches into local environmental policies, advocating for legal reforms and enhanced resource allocation to support these methods. Limitations of the study include its regional focus and the need for broader, longitudinal research to assess the scalability of restorative and civil governance models across different geographic contexts and environmental issues.

This study aims to analyze the financial risk of PT Smartfren Telecom Tbk during the 2014–2023 period, focusing on both short-term and long-term liquidity aspects. The analysis employs financial ratios as measurement tools to assess the company’s financial stability and its ability to fulfill financial obligations within their respective time frames. The ratios used include the current ratio, quick ratio, interest coverage ratio, and cash flow-to-debt ratio. The results indicate that the company faces significant challenges in maintaining short-term liquidity, as reflected in the consistently low values of the current and quick ratios throughout the observation period. This condition suggests a limited ability of the company to meet its short-term obligations using available assets. In terms of long-term liquidity, although there are efforts to strengthen the capital structure, the company still encounters difficulties in meeting its long-term debt obligations. This is evident from the low interest coverage ratio and cash flow-to-debt ratio. Therefore, improving operational efficiency, implementing more effective cash management, and undertaking financial restructuring are essential measures to strengthen the company’s liquidity position sustainably.

Technological advancements, particularly in microcontrollers and the Internet of Things (IoT), have brought significant changes to various aspects of life. Microcontrollers such as the ESP32, DS18B20 sensor, water pH sensor, and other supporting sensors enable the development of efficient automation systems. This research addresses issues related to the design and development of IoT devices for water quality monitoring, as well as the integration of these devices with web-based systems. The objective is to develop a device capable of monitoring water quality parameters such as pH, temperature, turbidity, dissolved materials, salinity projection, and dissolved oxygen projection, while providing automatic notifications under certain conditions. The development process applies the Agile methodology, which allows for rapid and adaptive iterations. Theoretically, this study contributes to improving understanding of IoT implementation and information systems, while practically, it provides a technological solution to support Koi fish farmers in monitoring and managing pond water quality. The expected outcome is a web-based water quality monitoring and management device for Koi ponds that can deliver real-time information and condition notifications, thereby reducing aquaculture risks and improving productivity.

This research aims to:1) To understand and analyze development of revenue, hotel tax and restaurant tax in North Tapanuli Utara from 2015-2023. 2) To understand and analyze the effectiveness, hotel tax, restaurant tax effectiveness, hotel tax efficiency, and restaurant tax efficiency in North Tapanuli Regency. This study uses time series data from 2015-2023, wihich is secondary data, to assess the efectiviness of hotel tax and restaurant tax revenue on local revenue (PAD) in North Tapanuli Regency. The data collection method used is library research, which utilizes literature or library materials as the primary data source. Quantitative descriptive analysis methods are used determine the develoment of PAD, tax development, restaurant tax development, hotel tax effectiveness, tax efficiency, and restaurant tax efficiency. The results of this study provide an overview of the development of PAD, development of hotel taxes, the development of restaurant taxes, the effectiveness of hotel tax revenue, restaurant taxes, hotel tax efficiency towards the original regional income (PAD) of North Tapanuli Utara Regency in 2015-2023. The average development of PAD in North Tapanuli regency is 10 percent, the average development of hotel taxes is 4 percent and the average development of restaurant taxes is 19 percent. The average effectiveness is 89 percent, which is classified as quite effective, the effectiveness of restaurant taxes reaches 91 percent which is classified as effective. The efficiency of hotel taxes is 5 percent which is classified as inefficient, while the efficiency of restaurant taxes is 107 percent which is classified as very efficient.

This paper aims to explore the legal basis and ethical reasoning for the revocation of parental rights due to domestic violence by placing the child's best interests as a compass and mapping the gap between norms and judicial practices. The method used is normative-doctrinal legal research based on a literature review of the Domestic Violence Law, the Marriage Law, the Child Protection Law, selected jurisprudence, and scientific literature, analyzed qualitatively through systematic interpretation, argument construction, and linking to the facts of the impact of domestic violence on children. The results show that positive law provides a firm basis for sanctions and protections including restrictions on interaction and revocation of custody rights, but implementation is often hampered by vague evidence of psychological violence, the victim's economic dependence, and weak execution of alimony; revocation effectively breaks the cycle when accompanied by a protection order, a post-decision parenting plan, and ongoing psychosocial support. Policy implications include guidelines for proving coercive control, expanding access to timely protection orders, integrating trauma-informed services in religious courts, and a mechanism for executing alimony that does not burden victims, with schools, community health centers, and communities as early detection nodes. Ultimately, legal work and social networks converge in one simple goal: that home again means a safe place for children to return.

The community service activity conducted in Toapaya Selatan aimed to introduce an innovative planting and fertilizer applicator tool based on PVC pipes as an appropriate technology. This program was motivated by the persistence of manual farming practices that require excessive labor, time, and costs, while often resulting in uneven fertilizer distribution that reduces crop productivity. The implementation method adopted a participatory approach, consisting of preparation, counseling, demonstrations, field practice, and evaluation involving local farmers. Training sessions included hands-on practice to ensure that participants not only understood the theoretical aspects but also acquired practical skills in using and assembling the tool. The results indicate that the application of the pipe-based tool improved labor efficiency, reduced fertilization time, and enhanced the uniformity of fertilizer distribution on plantation land. These improvements were directly reflected in better crop maintenance and more sustainable use of resources. Farmers’ high enthusiasm and active participation demonstrated the success of this simple yet impactful technology transfer. Nevertheless, several challenges were encountered, including limited technical understanding among some participants, difficulties in replicating the tool independently, and restricted availability of tool-making materials in the local market. Overall, this innovation has the potential to contribute significantly to increasing local agricultural productivity. Further training, continuous mentoring, and institutional as well as financial support from the village government are strongly recommended to ensure the sustainability, scalability, and long-term adoption of this appropriate technology.

The SENABUNG Serang Volunteer Community has various humanitarian programs to help the poor, street children, and other communities in need. This study aims to determine the communication strategy of the SENABUNG Serang Volunteer Community in increasing its presence in the community, as well as to analyze the obstacles faced. The research method uses a descriptive qualitative approach with the Resource Mobilization theory. Data were obtained through interviews, observation, and documentation. Data validity techniques use source triangulation to ensure the validity of the research findings. The results show that the existence of the SENABUNG community is built through the mobilization of five types of resources, namely human, material, organizational, socio-cultural, and moral resources. The community has succeeded in mobilizing volunteers, collecting donations, building social networks, and gaining moral legitimacy from the community. However, this study also found internal obstacles such as limited volunteers and time, inadequate equipment, unstable morale and transportation facilities, as well as external obstacles such as dependence on donations and digital security threats. Despite these successes, the study highlights significant challenges. Internally, the community struggles with a limited number of volunteers, which affects the sustainability of its programs. Moreover, the volunteers' time commitment is often restricted, limiting their capacity to engage fully. Additionally, inadequate equipment and unstable morale present further hurdles. Externally, the community's reliance on donations for funding leaves it vulnerable to fluctuations in contributions, and digital security threats pose risks to the integrity of the information shared across platforms.

This study aims to examine and analyze how the implementation of Standard Operating Procedures (SOP) impacts employee performance improvement at Chatter Lounge Restaurant, Gumaya Tower Semarang. The background of this research stems from initial observations and interviews that revealed inconsistencies in SOP implementation, particularly in aspects of grooming and staff attitudes toward guests. A qualitative descriptive method with a case study approach was employed to gain a comprehensive understanding of the phenomenon. Data were collected through in-depth interviews with four key informants, direct observations of operational activities, and digital documentation related to SOP practices. The data analysis followed the interactive model of Miles and Huberman, which includes three main stages: data reduction, data display, and conclusion drawing. The findings indicate that SOP implementation positively contributes to enhancing employee discipline, time efficiency, and accuracy in following service procedures, leading to a more standardized service quality. Nevertheless, the implementation is not yet fully optimal as several employees lack a comprehensive understanding of SOP content. Inhibiting factors include limited advanced training opportunities, one-way briefings that restrict interactive communication, and the absence of a performance-based reward system to motivate staff. The study highlights that while SOPs serve as a crucial guideline to improve consistency and professionalism, their effectiveness depends heavily on continuous reinforcement and employee engagement. Therefore, it is recommended that the restaurant management strengthen SOP implementation through ongoing training, more participatory internal communication, and the establishment of performance-based reward mechanisms to maximize employee motivation, ensure service excellence, and ultimately enhance guest satisfaction.

Conventional robotic surgical systems, while offering enhanced dexterity and 3D visualization, suffer from a critical limitation: the absence of tactile sensation. This sensory disconnect can lead to inadvertent tissue damage from excessive force application and complicates delicate maneuvers that rely on the surgeon's sense of touch. This research proposes and validates a novel surgical robotic system architecture designed to bridge this sensory gap by integrating high-fidelity 3D visual input with accurate, real-time force feedback from tactile sensors mounted on the end-effector. To rigorously evaluate this innovation, a structured comparative methodology was employed. A cohort of surgeons performed standardized surgical tasks, including suturing and tissue manipulation, on realistic soft-tissue phantoms. The performance of a conventional (visual-only) system was benchmarked against that of the proposed (visual-haptic) system. A comprehensive dataset was collected, which included objective metrics such as task completion time, precision deviation from the ideal tool path, and the magnitude of applied forces. Concurrently, subjective evaluations from the participating surgeons were gathered to assess perceived control, cognitive workload, and overall task confidence. The test data revealed statistically significant improvements when using the visual-haptic system. Participants not only completed tasks with greater speed and accuracy but also applied considerably lower and more consistent forces. The analysis underscores that haptic feedback, enabled by advanced sensor fusion, not only restores a crucial 'sense of touch' to the surgeon but also reduces the incidence of excessive force application, potentially minimizing tissue trauma and improving patient recovery. These findings confirm the hypothesis that haptic-visual integration constitutes a new paradigm in robotic surgery, shifting the paradigm from purely visual guidance to a more intuitive, multi-sensory surgical experience. This study also discusses future challenges and opportunities, including the potential for AI-driven partial autonomy, such as creating virtual safety boundaries or automating sub-tasks, and the development of next-generation sensor technologies to further enhance clinical outcomes.

Early detection of kidney disease is measured in terms of positive aspects where patient care can be given at the right time, improving a person's quality of life, and intervention can be given at an early stage of kidney disease, thus saving medical costs. The purpose of this activity is to provide education to health cadres to understand early detection and prevention of kidney disease so that the community understands and has knowledge about kidney disease. The stages of the implementation method, namely the socialization and training methods, aim to provide education to the community about the prevention and early detection of kidney disease. Health cadres who participated in PKM before being given education on prevention and early detection of kidney disease were 70% with a low level of knowledge, after being given education on prevention and early detection of kidney disease, it increased to 90% with a good level of knowledge. This proves that health education can be understood by health cadres. It is important to provide education on how to increase family support to help prevent and detect kidney disease early.

This research aims to analyze the crucial role of the shipping agency—specifically PT. Maritime Network Indonesia Dumai Branch—in preparing the vessel departure and arrival schedule (line-up). Line-up preparation is a strategic process that involves vessel plotting at Pelindo Dumai Port and is vital for supporting the smooth running of port operations and loading/unloading activities. The research methodology includes field research (field research) to observe direct practices at the port and literature review (library research) to reinforce the theoretical and regulatory foundations. The findings confirm that the shipping agency plays an important role in ensuring the efficiency of the port schedule. Nevertheless, in practice, the line-up preparation process faces several significant challenges. These obstacles include the limited authority of local agents in independently determining vessel plotting, restricted coordination meeting schedules, and the continued use of manual and inefficient communication methods. This lack of integrated communication often leads to inaccuracies in the initial line-up preparation, forcing agents to recalculate the previously arranged vessel positions. The conclusion of this study suggests the need for developing an integrated system that facilitates real-time communication and reporting to all relevant agencies. Adopting a digital system will enhance process efficiency, ensure proper documentation, and minimize errors, thereby accelerating the vessel plotting coordination process in the field.

Ineffective management of household waste in rural areas, such as Aek Korsik Village, Aek Ledong District, Asahan Regency, causes air pollution due to traditional waste burning practices. This research aims to design and implement an environmentally friendly low-smoke waste incinerator as an alternative solution based on simple technology and local resources. The research methods used are technological engineering approaches and field studies, including tool design, trials, and environmental and social impact evaluation. The furnace is designed using heat-resistant local materials and mild steel, features a dual ventilation system and a smoke exhaust system with a simple filter, and has a combustion capacity of 5 kilograms per cycle. Preliminary studies show that the composition of waste is dominated by organic matter (60%), plastic and paper (30%), as well as the rest are inorganic. Testing over several weeks showed that an average burn time of 1.5 hours was able to reduce smoke emissions by up to 60% compared to conventional methods. The air quality around the test site has improved significantly, and the community has responded positively to the ease of use and environmental benefits of the furnace. This study concludes that low-smoke combustion furnaces are effective as environmentally friendly waste management solutions in villages, with recommendations for increasing combustion capacity and integrating other waste management methods to support sustainability and environmental preservation.

The increasing number of mental health disorders in various countries has created an urgent need for innovation in the diagnosis and treatment process. This problem not only impacts individuals' quality of life but also creates a significant social and economic burden. One solution that is beginning to be widely researched is the use of artificial intelligence (AI) in the field of mental health. This research used a literature review of various previous studies discussing the role, application, and impact of AI. The results of the review indicate that AI technology, particularly in the form of digital applications such as chatbots, has great potential to support the recovery process for patients with mental disorders. AI-based chatbots can provide responsive, two-way interactions, so users feel heard and receive initial emotional support. One technical approach used is Natural Language Processing (NLP), which enables the system to understand natural human language. Simultaneously, Long Short-Term Memory (LSTM) algorithms are used to analyze language patterns and detect symptoms of depression more accurately. Various studies have reported that the application of NLP and LSTM can improve the reliability of diagnoses and provide responses tailored to user needs. Furthermore, AI can provide personalized recommendations, tailor interventions to the user's condition, and monitor mental health developments in real time. This has the potential to assist mental health practitioners in making faster and more informed decisions. However, the adoption of AI among practitioners remains relatively low. Influencing factors include limited technological understanding, limited infrastructure, and debates over ethical aspects and data privacy. Therefore, while AI has significant potential to improve the quality of mental health services, regulations, ethical guidelines, and synergy between technology and healthcare professionals are needed to ensure safe and effective implementation.

Sleep is a vital state of rest for humans to maintain a healthy body. After a day of activity, the body requires adequate sleep to recover and regain energy. One common sleep disorder is insomnia, characterized by difficulty sleeping both in terms of quality and quantity. Insomnia has traditionally been treated with sedatives, drugs that reduce anxiety and provide a calming effect with little or no impairment to motor and mental function. However, long-term use of chemical drugs can cause side effects, necessitating alternatives, one of which is the use of traditional medicine. Areca nut (Areca catechu L.) is known to possess antioxidant, antimutagenic, astringent (tightening), and intoxicating properties that have long been used in traditional medicine. This study was conducted experimentally in a laboratory to determine the sedative-hypnotic effects of areca nut ethanol extract. The observed parameter was survival time on the rotarod, and the data were analyzed using one-way ANOVA for homogeneity testing and Shapiro-Wilk for normality testing. If the data were not homogeneous or normal (p < 0.05), the analysis was continued with the nonparametric Kruskal-Wallis and Mann-Whitney tests. The results showed that administration of areca nut ethanol suspension as a positive control with varying doses did not produce significant differences, meaning that all three doses had the same sedative-hypnotic effect. In the treatment groups with areca nut ethanol extract doses of 0.52 mg/kgBW and 0.78 mg/kgBW, significant differences were observed compared to the negative control, indicating a clear sedative-hypnotic effect. Therefore, it can be concluded that areca nut (Areca catechu L.) ethanol extract at doses of 0.52 mg/kgBW and 0.78 mg/kgBW has the potential to provide sedative-hypnotic effects and can therefore be used as an alternative treatment for sleep disorders.

Intensive social media use has become an ingrained phenomenon in the daily lives of college students. Technological developments and high accessibility to digital platforms cause students to spend a significant amount of time interacting virtually. This condition has various psychological implications, one of which is increased anxiety levels. This study aims to determine the relationship between the intensity of social media use and anxiety levels in college students. The method used was a quantitative approach with a correlational design through a survey distributed to a number of student respondents from various study programs. The research instruments included a questionnaire regarding the frequency of social media use and a validated anxiety scale. The results showed a significant relationship between the intensity of social media use and students' anxiety levels. The higher the frequency of social media use, the greater the tendency for students to experience anxiety. Several factors that trigger anxiety include social comparison with other users, the need for validation through the number of "likes" and comments, and the pressure to project an ideal self-image online. Furthermore, most students expressed feelings of anxiety or restlessness when not accessing social media for a certain period of time, indicating psychological dependence. These findings indicate that social media has a significant influence on students' psychological conditions, particularly in triggering anxiety. Therefore, it is crucial for higher education institutions, educators, and parents to provide education on healthy and balanced social media use. Preventive and promotive interventions to support student mental health are essential to mitigate the negative impacts of social media and foster wiser digital behavior in today's technological era.

The public’s demand for excellent service encourages the government to continuously innovate. In response, the Population and Civil Registration Office of Pangandaran Regency developed an innovation called the mobile service pickup program. This innovation integrates offline services to accelerate and simplify the processing of population documents, particularly in the issuance of birth certificates. The mobile service pickup program is designed to improve the efficiency, effectiveness, and transparency of public services in the field of population administration in Pangandaran Regency. This study refers to the innovation theory by Everett M. Rogers, as cited in Prabowo H. (2022), which states that there are five attributes of innovation that influence its acceptance: relative advantage, compatibility, trialability, and observability. The research method used in this study is qualitative descriptive, with data collected through interviews, documentation, and observation. Meanwhile, informants were selected purposively to obtain relevant and in-depth data. The research results reveal that the mobile service pickup program innovation has not yet been optimally implemented, with time effectiveness being a crucial factor for the community. Therefore, this innovation must continue to be developed to gain wider acceptance among the public.

Village websites currently generally only provide information in the form of an interface for users, such as village profiles, potential areas, population data, and current news. However, the majority are not yet equipped with Application Programming Interface (API) support that allows for flexible and automated data integration and exchange. This is a challenge when dynamic access is needed by third-party systems, such as public service platforms, mobile applications, or local government information systems, which require real-time and accurate synchronization of population data. The project aims to implement a RESTful API that can be accessed securely, efficiently, and easily understood by developers to retrieve villagers' data. The development of the system is carried out using the Agile method, which supports rapid iteration and periodic evaluation to ensure that each feature functions optimally according to the needs of users and field conditions. This Agile method is applied in several sprints that include the stages of needs planning, designing the API endpoint structure, coding, documentation, and testing of the integration and security of the system as a whole. The results of the implementation show that the API successfully retrieves data directly from the village database, and presents it in a JSON format that is compatible for use by both frontend and third-party systems. This API supports pagination features for efficient access to large amounts of data, and is equipped with Basic Authentication to keep data access secure from being abused. With this API, the village website not only becomes a static information medium, but also transforms into a digital service platform that is open for cross-system integration. This supports the development of a more modern, efficient, sustainable, and collaborative village information system in the future, so that public services can be significantly improved.

Employee shift scheduling in the hospitality industry remains a critical yet complex task due to fluctuating operational demands, fairness requirements, and labour regulations. Many hotels still rely on manual scheduling methods, which are time-consuming and prone to biases, particularly in ensuring fair workload distribution across employees. Despite numerous studies on workforce scheduling, limited attention has been given to integer linear programming (ILP) models that address gender-based restrictions and operational fairness simultaneously in real-world hotel contexts, especially in developing regions such as Central Java. This study proposes an Integer Linear Programming (ILP) model to generate optimal shift schedules for hotel staff over a 31-day planning horizon. The model incorporates operational constraints, including one shift per day, gender-based restrictions (which prevent female staff from working night shifts), availability, minimum staffing levels, and fairness in workload distribution. Key parameters and binary decision variables were defined to ensure compliance with the hotel's specific requirements. Empirical data were collected from a hotel in Central Java involving 20 employees, and the model was implemented using Python with a Gurobi solver. The ILP model successfully generated optimal schedules in under 10 seconds, significantly outperforming the manual method, which required over 4 hours. While the manual schedule resulted in an imbalance where some employees worked over 27 days and others only 22, the ILP approach enforced a strict maximum of 26 working days for all staff. Furthermore, the fairness index (FI) improved from 19.2% in the manual method to 0% in the ILP-generated schedule, indicating complete equity in workload allocation. The proposed ILP model demonstrates its effectiveness in improving scheduling fairness, operational efficiency, and compliance with labour policies. This work not only addresses a critical research gap in hospitality scheduling practices in Indonesia but also offers a replicable framework for other labour-intensive service sectors. Future research may explore multi-objective extensions incorporating employee preferences, satisfaction, and dynamic demand fluctuations.

Indonesia has two frameworks of a criminal law system that runs in parallel, namely Western criminal law which comes from the Dutch colonial heritage through the Criminal Code (KUHP) and customary criminal law that develops in society based on traditional norms. Both have important positions in the national legal system despite their different characters and sources of legitimacy. The Criminal Code is present as a general written law with a strong codification and legal certainty, while customary criminal law is more flexible, dynamic, and emphasizes the value of social justice that lives in society. In practice, the application of customary criminal law is often oriented towards restoring harmony, deliberation, and family settlement. This is different from the Criminal Code which emphasizes formal sanctions in the form of imprisonment, fines, or other punishments that are retributive. This difference in orientation is what makes customary criminal law still relevant and accepted in various regions, even though it does not always receive full recognition in Indonesia's positive legal system. Along with the times, the government has drafted a Draft Criminal Code Bill (RUU KUHP) which is expected to be a form of national criminal law unification. The Criminal Code Bill from 2005 to the latest one in 2020 tried to incorporate elements of customary criminal law into the national legal framework. This aims to accommodate the legal pluralism that exists in Indonesia, as well as answer the needs of the community for a legal system that not only provides legal certainty, but also reflects a sense of social justice. Thus, the comparison between the Criminal Code and customary criminal law shows that there is tension as well as the potential for integration.

Maintaining stable cage temperature is a crucial factor in the success of broiler chicken farming, especially in close house systems that rely on optimal microclimate control. Temperature instability can lead to thermal stress, reduced growth rates, and increased mortality in broilers, particularly during the early stages of life (0 to 30 days old). This study aims to design and implement an automatic temperature control system based on the Arduino Uno microcontroller integrated with a DHT11 temperature and humidity sensor in the broiler chicken cages of PT. Barokah Restu Utama. The system is designed to read temperature and humidity in real-time and automatically activate or deactivate cooling devices such as fans or heating devices like incandescent lamps, depending on the temperature range required for each growth phase. The ideal temperature range used as a reference in this system includes 30–32°C for chickens aged 0–7 days, 29°C for ages 8–14 days, 28°C for ages 15–21 days, and 26–27°C for chickens aged 22–30 days. Testing results show that the system is capable of maintaining stable temperatures according to the specified standards for each growth phase. With this automatic control system in place, broiler chicken maintenance becomes more efficient and effective. The risk of mortality due to heat stress is significantly reduced, and chicken growth becomes more optimal. This technology offers a practical and economical solution, especially for small- to medium-scale broiler chicken farmers who use close house systems. The system is easy to operate and relatively affordable to install, making it an accessible innovation that supports better livestock management through automation and smart farming practices.