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This study investigates the performance of Internet of Things (IoT)-based monitoring systems using a mobile hotspot and IoT sensors for temperature and humidity data transmission. The research is based on the IoT concept, which enables electronic devices to communicate and exchange data through internet networks without direct human intervention. System performance was evaluated using standard Quality of Service (QoS) parameters, including throughput, packet loss, delay, and jitter. The experimental setup utilized a NodeMCU ESP32 microcontroller and a DHT22 sensor, with measurements conducted at various transmission distances through wireless communication media. The objective was to determine the reliability of hotspot connectivity and sensor communication in supporting IoT applications. The results indicate that the optimal performance was achieved at a distance of 20 meters using a 40-lambda variation. Furthermore, the communication signal between the ESP32 device and the mobile hotspot remained detectable up to a maximum distance of 32 meters. These findings demonstrate the effectiveness of the proposed IoT system for environmental monitoring applications within specific transmission ranges.

Early detection of a potential heart attack is a crucial step in preventing sudden death from heart disease. This research aims to develop an Internet of Things (IoT)-based health monitoring system capable of measuring vital body data in real time and predicting the likelihood of a heart attack from CSV data obtained from sensors, integrated through RapidMiner as learning data using a machine learning algorithm, the Support Vector Machine (SVM). The system was built using an ESP32 microcontroller connected to a MAX30102 sensor to measure heart rate and finger oxygen levels (SpO₂), as well as a DHT22 sensor to measure temperature and humidity. The resulting data is sent to the Blynk application to display real-time data according to its parameters. The initial prediction logic was developed using a rule-based method based on medical thresholds for four vital parameters. The data was then used to train an SVM model as a classification system to detect potential heart attacks. Test results showed that the system can identify abnormal conditions with a good level of accuracy and provide early warnings based on changes in vital parameters in real time. This system is expected to be an initial solution for personal health monitoring, especially for individuals at risk of heart disease. It can be further developed with cloud integration and automatic notifications to users' devices.

Public Wi-Fi services (Wifi_STAKat) at the State Catholic College of Pontianak continue to face technical issues, such as network speed and connection stability, as well as non-technical challenges, including the responsiveness of administrators to user complaints. This study aims to analyze user satisfaction based on the five Servqual dimensions and to map improvement priorities using the Importance–Performance Analysis (IPA) method. The relationship between Servqual and IPA is explained by mapping GAP values (perception–expectation) into the four IPA quadrants to determine the urgency level of service improvements. A 4-point Likert scale was used to avoid neutral responses and strengthen the clarity of respondents’ perceptions. The results show that all dimensions have negative GAP scores, particularly responsiveness and reliability, which are directly related to technical indicators (speed, stability, coverage) and non-technical factors (responsiveness to complaints, ease of access. The study recommends integrating an IT-based monitoring system and increasing network capacity to improve service quality.

This study discusses the design and testing of a growing media moisture and water level monitoring system based on ESP32-MQTT. The system was developed to support real-time monitoring of growing media conditions and water availability through a monitoring dashboard. This research used an experimental method with a design and implementation approach by developing an ESP32 circuit connected to a capacitive soil moisture sensor and a water level sensor, then sending sensor data to the dashboard through the MQTT protocol and Node-RED. Testing was carried out using a plant pot as the moisture testing medium and a water container as the water level testing medium. The results showed that the growing media moisture sensor displayed 0% in dry and very dry soil conditions, 61% in moist soil, and 89% in very moist soil. The water level sensor displayed 0 cm, 2.4 cm, and 4 cm according to the testing conditions. These results indicate that ESP32-MQTT can be used as an initial prototype for monitoring growing media moisture and water level before being applied to a complete hydroponic or aquaponic system.

Air quality in the Special Capital Region of Jakarta has shown a concerning decline in recent years, largely due to high emissions from motor vehicles as the main source of pollution in urban areas. The Provincial Government of DKI Jakarta issued Governor Regulation Number 66 of 2020 concerning Exhaust Emission Testing for Motor Vehicles as a public policy instrument aimed at controlling air pollution. This study aims to analyze the implementation of the regulation from a public policy perspective and to identify supporting and inhibiting factors in its execution. The research employs a normative juridical method with statutory and conceptual approaches, supported by qualitative analysis of policy documents and reports on the implementation of emission testing. The results reveal that the implementation of the regulation has not been optimal due to limited emission testing infrastructure, low levels of public awareness and socialization, and inconsistent enforcement of administrative sanctions. Nevertheless, there are opportunities to improve policy effectiveness through strengthened inter-agency coordination, digitalization of monitoring systems, and increased environmental literacy among the public. Therefore, the success of emission control policy implementation is highly dependent on resource support, regulatory consistency, and community awareness, necessitating a comprehensive and continuous multi-stakeholder improvement strategy and stronger commitment.

This research aims to design and develop a prototype wave power plant that utilizes the vertical motion of a buoy as a source of mechanical energy, which is then converted into electrical energy using a recoil starter mechanism. The system is designed to be installed at the stern of a prototype ship. The vertical movement of the buoy caused by ocean waves is transmitted to the recoil starter through a drive rope, producing a stable one-way rotational motion. This rotation is further transmitted to a gearbox to increase rotational speed before driving a DC generator. The electrical energy generated is stored in a 12 VDC battery, supported by a buck–booster converter to stabilize the output voltage. This study employs an experimental engineering approach to evaluate system performance based on empirical test data. The main components of the system include a buoy as a wave energy collector, a recoil starter as the initial rotating mechanism, a DC generator as the electrical energy producer, a buck–booster converter as a voltage regulator, a 12 VDC battery as an energy storage unit, and a monitoring system based on an ESP32 microcontroller integrated with a PZEM-017 sensor. Experimental results show that the recoil starter operates effectively in driving the generator under both no- load and buoy-loaded conditions. Increases in generator rotational speed are directly proportional to increases in output voltage and current. The PZEM-017 sensor demonstrates a high level of measurement accuracy, approaching 100% when compared with a multimeter. Overall, the proposed wave power generation system functions reliably and shows potential for further development as a small-scale alternative renewable energy source.

The Free Nutritious Meal Program (MBG) is a strategic initiative by the Indonesian government to address the long-standing issues of malnutrition and stunting, which have significantly hindered human resource (HR) development in Indonesia. The program aims to improve children's nutrition and reduce stunting by providing free nutritious meals, particularly in areas with limited access to healthy food. This study aims to analyze the legal framework of MBG, its effectiveness in achieving its goals, and its impact on national development. Using a qualitative approach, the study analyzes the implementation of MBG through document analysis, interviews with relevant stakeholders, and field observations. The findings highlight challenges within the program, including imbalanced food distribution, inadequate infrastructure in remote areas, and suboptimal food quality control, which resulted in several food poisoning incidents in 2025. Nevertheless, the program has a positive economic impact by empowering micro, small, and medium enterprises (MSMEs) involved in food supply. The study suggests strengthening the monitoring system, improving budget management, and better coordination between government sectors and communities to maximize the success of MBG. It also emphasizes the importance of nutrition education campaigns to support the program's goals. Overall, MBG is a crucial step toward creating a healthier and more productive generation, supporting the achievement of Indonesia's Golden Generation by 2045..

This study aims to design and develop a functionally efficient and operationally effective Internet of Things (IoT)-based air quality monitoring system for radiology departments. The system utilises a DHT22 sensor integrated with an ESP32 microcontroller to monitor the temperature and humidity of diagnostic rooms in real time, and to display the data via the UdaraKu mobile application. The research method employed a quantitative experimental approach focused on measuring system performance, specifically the accuracy of the temperature and humidity sensors. The research model used was the Research and Development (R&D) method, aimed at transforming conventional air quality monitoring in radiology into a real-time digital system based on IoT. The research results indicate that the IoT-based monitoring system is capable of maintaining room temperature and humidity stability within the ideal range, namely 22–24°C and 50–60% RH, in accordance with international standards. This improvement in environmental stability has a direct impact on reducing noise in digital radiography images, as evidenced by an increase in the Signal-to-Noise Ratio (SNR). Instrument validation demonstrated a high level of reliability with a Cronbach’s Alpha value of 0.848, reinforcing the reliability of the data and the system. Overall, the IoT-based air quality monitoring system has proven effective in controlling noise in digital radiography images, improving the quality of diagnostic services, and supporting patient safety principles and operational efficiency within radiology departments.

Information technology advancements have sparked a digital revolution in village government operations, especially in tracking and assessing village officials' performance. Performance evaluation is still done by hand in many village government organizations, which frequently causes reporting delays, ineffective data processing, and a lack of transparency in the evaluation process. In order to facilitate a more efficient and organized monitoring and performance evaluation process, an information system therefore required. In order to support the management village apparatus data, performance assessment procedures, and integrated reporting, this study intends design and develop a web-based monitoring system for assessing the performance village officials. To represent the system processes in an organized way, the system design is modeled using the Unified Modeling Language (UML), which includes use case diagrams, activity diagrams, and sequence diagrams. To make sure that every system function performs in accordance with user requirements, system testing is carried out using the Black Box Testing method. The findings demonstrate the system's ability handle village apparatus data, carry out automated performance evaluation procedures, compute final scores using assessment indicators, and produce precise performance reports. It is anticipated that the system's implementation will enhance the village officials' performance monitoring procedure's efficacy, efficiency, transparency, and structure.

This paper was written with the aim of analyzing the role of stevedoring workers (TKBM) in loading and unloading activities carried out by the Loading and Unloading Company (PBM) FT. Gelora Perkasa Belawan. In collecting data, the author utilized two approaches, namely field research and library research. Labor efficiency is a key factor in increasing operational productivity in the port sector, however, various problems are often found such as delays, low productivity, and work inefficiencies caused by weak monitoring and performance monitoring systems. In this study, a qualitative approach was used through field methods and library methods, on the operational activities of TKBM in the company. The results of the study indicate that the implementation of structured work and periodic evaluations can improve work discipline, accelerate loading and unloading times, and reduce operational costs. In addition, the role of management in providing constructive feedback and periodic training has also proven effective in supporting labor efficiency. Thus, optimizing the role of TKBM will have a direct impact on improving the performance of PBM PT. Gelora Perkasa Belawan, which ultimately contributes to the smooth flow of goods and economic growth in the Belawan port area.

The phenomenon of homeless individuals and beggars (gepeng) in Jambi City remains a significant and ongoing social issue, indicating that efforts to address poverty and urban social vulnerability have not yet been fully effective. Although the local government, through the Jambi City Social Affairs Office, has implemented a Social Rehabilitation Program aimed at restoring beneficiaries’ social functioning through outreach, social assessment, social guidance, skills training, and family reunification, the presence of gepeng in public spaces continues to fluctuate from 2022 to 2024. This study analyzes the effectiveness of the program’s implementation, particularly the social guidance component, using a qualitative case study approach. Data were collected through in-depth interviews, field observation, and documentation review, and analyzed using George C. Edward III’s policy implementation theory, which emphasizes communication, resources, disposition, and bureaucratic structure. The findings show that the program has been carried out procedurally and humanely; however, its effectiveness remains limited due to insufficient numbers of social workers, weak and unsustained economic empowerment support, and inadequate post-rehabilitation monitoring. As a result, some beneficiaries return to the streets after completing the program. Therefore, strengthening inter-agency communication, increasing resource capacity, integrating sustainable economic empowerment initiatives, and improving consistent monitoring systems are essential steps to achieve long-term and more sustainable reductions in homelessness in Jambi.

Stunting is a complex public health problem that requires a multisectoral approach in its management. This community service aims to increase the capacity of village officials and Village Consultative Body (BPD) in handling stunting through the strategic role of management higher education institutions. The method used is a participatory approach involving 18 participants consisting of village officials and BPD members. The activities were carried out through stages of needs analysis, stunting program management training, action plan development assistance, and monitoring evaluation. The results showed a significant increase in participants' understanding of stunting program management (from 45% to 85%), the formation of a stunting management working team at the village level, and the preparation of a comprehensive stunting management action plan. The social change that has been realized is increased cross-sectoral coordination in handling stunting and the formation of a data-based monitoring system at the village level. Management higher education institutions play a strategic role in building the managerial capacity of village officials to manage stunting programs effectively and sustainably.

This study aims to analyze efforts to improve the disciplinary performance of the State Civil Apparatus (ASN) in the Sorong City Regional Secretariat through the approach of apparatus compliance, internal supervision, enforcement of disciplinary sanctions, and organizational work culture. The research uses a mixed methods method, namely a quantitative approach through the dissemination of a Likert scale questionnaire analyzed using descriptive statistics and correlation, as well as a qualitative approach through in-depth interviews with the Regional Secretary, Head of the Inspectorate, Head of BKPSDM, Head of Organization and Administration, and Head of the People's Welfare Section. The study's results show that organizational work culture and internal supervision are positively related to apparatus compliance. At the same time, the enforcement of disciplinary sanctions plays a supporting role in maintaining the consistency of ASN discipline. Qualitative findings reinforce that leadership examples, employee development, and technology-based monitoring systems are important factors in improving apparatus discipline. The study's implications indicate that improving ASN discipline requires an integrated approach that strengthens the supervision system, fosters employee development, and develops an organizational work culture oriented towards public services. The study's limitation is in the narrow scope of respondents in the Sorong City Regional Secretariat; therefore, further research is recommended to include more regional apparatus and employ more comprehensive statistical analysis to yield deeper results.

Mine slopes play a crucial role in ensuring the safety and sustainability of mining activities. Continuous mining operations can alter slope conditions, thereby increasing the potential for instability and slope failures. Slope stability is influenced by the balance between resisting forces and driving forces acting on the rock mass. When the resisting forces are smaller than the driving forces, the slope becomes unstable and failure may occur. Therefore, slope stability analysis is essential to prevent landslide hazards, as it directly affects occupational safety, equipment security, other assets, and overall production continuity. These conditions have encouraged PT Insani Bara Perkasa to develop a more accurate and real-time slope monitoring system. The application of radar-based monitoring was initiated using the CHCNAV PS-2000 system. This study aims to analyze the deformation behavior of mine slopes using radar technology. Data acquisition was conducted at Pit K1 Mahakam, PT Insani Bara Perkasa, covering Area 1 South, AR 2 South, AR 3 South, AR 5 South, AR 6 South, AR 7 West, AR 8 West, AR 9 South, AR 13 South, as well as TA-2, TA-3, and TA-6 areas. The study was carried out from November 2025 to December 2026. The analysis results indicate that most monitoring points are in stable conditions, with indications of a progressive phase observed in the AR 6 South area.

This research aims to analyze the implementation of public service innovations through the Cheap Food Movement in realizing sustainable food security in Sorong City. The research uses a qualitative approach, collecting data through in-depth interviews, observations, and documentation of key informants at the Sorong City Food Security Office, business actors, and beneficiary communities. Data analysis used the Miles and Huberman model, with triangulation of sources and methods to ensure data validity. The study results show that the Cheap Food Movement has increased community food accessibility through regular implementation, a coordinated distribution system, and partnerships with local farmers. Price affordability is achieved through cross-subsidization and a reduction of up to 30% of the market price in the distribution chain. The program's sustainability is supported by local economic empowerment and multi-stakeholder collaboration. The research implications inform the development of public service innovation models grounded in community needs. The study's limitations lie in its focus on a single region, which limits generalization. Recommendations aim to expand the program's scope, strengthen technology-based monitoring systems, and replicate models in other areas with similar conditions.

The computer laboratory is an essential facility in higher education that requires efficient management of usage and environmental conditions to support the teaching and learning process. However, laboratory management at the Kalimantan Business and Technology Institute is still carried out manually, including scheduling, room condition monitoring, and report creation, which is prone to errors and time-consuming. This study aims to develop an Internet of Things (IoT)-based laboratory monitoring system prototype to improve the effectiveness of computer laboratory management. The approach used is Research and Development (R&D) with a prototype development model, allowing for design adjustments based on user feedback iteratively. Data were collected through observations, interviews, and document studies related to laboratory conditions and analyzed to determine the main system features, such as temperature and humidity monitoring, scheduling, and report generation. The results of the study show that the developed prototype can structure the laboratory workflow, provide real-time monitoring, facilitate schedule management, and simplify report preparation. This prototype is expected to serve as a foundation for developing a more comprehensive application, improving data accuracy, time efficiency, and the quality of laboratory management.

The computer laboratory is an essential facility in higher education that requires efficient management of usage and environmental conditions to support the teaching and learning process. However, laboratory management at the Kalimantan Business and Technology Institute is still carried out manually, including scheduling, room condition monitoring, and report creation, which is prone to errors and time-consuming. This study aims to develop an Internet of Things (IoT)-based laboratory monitoring system prototype to improve the effectiveness of computer laboratory management. The approach used is Research and Development (R&D) with a prototype development model, allowing for design adjustments based on user feedback iteratively. Data were collected through observations, interviews, and document studies related to laboratory conditions and analyzed to determine the main system features, such as temperature and humidity monitoring, scheduling, and report generation. The results of the study show that the developed prototype can structure the laboratory workflow, provide real-time monitoring, facilitate schedule management, and simplify report preparation. This prototype is expected to serve as a foundation for developing a more comprehensive application, improving data accuracy, time efficiency, and the quality of laboratory management.

The management of kWh meter replacement data at PLN ULP Ampera Palembang is still largely handled through manual recording, which often causes data inconsistencies and delays in monitoring activities. This study aims to design an information system that supports the monitoring of kWh meter replacement data based on actual user needs. The research applies a descriptive qualitative method using the User Centered Design (UCD) approach, where users are actively involved throughout the design process. The stages include understanding the work context, identifying user requirements, developing system design solutions, and evaluating the proposed design. The outcome of this research is a kWh meter data monitoring system design that is expected to facilitate data management, improve accuracy, and support more efficient monitoring processes.

The development of automation and robotics technology has driven innovation in various industrial fields, particularly in automatic sorting systems. Manual sorting processes often lead to inefficiencies and human errors, creating the need for an automatic, fast, and accurate system. This research employs a qualitative method which includes experimentation, testing, and system documentation. The system is designed as a robotic arm for sorting objects based on color, utilizing a TCS3200 color sensor and an ESP32 microcontroller. An ultrasonic sensor detects the presence of objects, while the sorting results are displayed through a real-time web monitoring system. The test results show that the prototype successfully sorts four primary colors (red, green, blue, and yellow) with a high level of accuracy. This research is expected to serve as a reference for the development of automation systems and robotics learning tools in both educational and industrial applications. In addition, this research also contributes to the development of technology that can increase efficiency and accuracy in industrial production processes and provide more environmentally friendly solutions by reducing the need for manual labor.

This study aims to examine the role of internal control and whistleblowing system in fraud prevention through a literature review appoarch. The background of this study is based on the persistenly high incidence of fraud cases that arise due to the suboptimal monitoring system and minimal compliance with applicable regulations in the organizations. Technique used is a literature review by examining varios relevant previous studies published between 2021-2025, obtained from google scholar. The result of the review indicate a significant correlation between internal control and whisteblowing system in efforts to prevent fraud in organizations in Indonesia. Internal control has a positive effect on fraud prevention efforts. Meanwhile, the whistleblowing system serves as a secure reporting mechanism, although several previuos studies show inconsistent result regarding its influence. The implication of this study highlights the importance of implementing effective internal control supported by an optimal whistleblowing system to enhance fraud prevention efforts within an organization.