Publication Search

The development of digital technology has transformed how institutions communicate with the public, including the Maritime and Logistics Education Corporation of Indonesia (PT PMLI). This study is motivated by the strategic role of Cyber Public Relations in building institutional image in the digital era. The research focuses on how PT PMLI implements Cyber PR strategies to establish its institutional image. The objective is to identify the strategies applied and how the image is built in digital spaces. This study employs Ronald D. Smith’s Cyber PR Strategy Theory and Veljkovic’s Institutional Image Theory, using a qualitative descriptive method through in-depth interviews with five internal and external informants. The findings show that PT PMLI conducts situation analysis and audits using a SWOT approach, with strengths in digital integration and proactive approaches, and weaknesses in limited human resources and state-owned enterprise regulations. Opportunities come from digital innovation and external collaboration, while threats include the spread of hoaxes and sensitive data exposure. The strategic objectives focus on increasing audience engagement through interactive and educational content, as well as maintaining online reputation through consistent and responsive communication. PT PMLI utilizes its website and social media platforms Instagram, TikTok, and YouTube and develops trend-based content evaluated through media plans and engagement indicators.

This study provides an in-depth analysis of the urgency of employing a contextual approach to the Qur’an and Sunnah as a hermeneutical framework for addressing the increasingly complex social problems in Indonesia. Based on the premise that divine revelation encompasses both textual and contextual dimensions, this research underscores the necessity of reinterpreting Islamic teachings by considering the sociocultural, economic, and intellectual transformations of modern society. Utilizing library research and extensive scholarly literature review, the study examines the contributions of the contextual approach in revitalizing maqāṣid al-sharī‘ah, advancing social exegesis, promoting productive zakat models, strengthening child protection policies, developing environmental jurisprudence, and enhancing social ijtihād during crisis situations such as the Covid-19 pandemic. The findings demonstrate that a contextual approach enables Islamic teachings to be articulated into more adaptive, inclusive, and progressive ethical principles without compromising their theological foundations. This approach also reinforces the integration of social sciences into Islamic studies, thereby producing legal formulations and public policies that promote public welfare, social justice, and ecological sustainability. Overall, the study concludes that the contextual approach is not merely a method of interpretation but a civilizational paradigm essential for shaping Islam’s relevance within Indonesia’s multicultural society. By fostering a dialogical encounter between scriptural texts and empirical realities, this approach preserves the vitality of Islamic teachings while ensuring their constructive and sustainable contribution to resolving national issues.  

The formation of regional regulations (Perda) is a constitutional derivative of the implementation of regional autonomy within the framework of the Indonesian legal system. Substantively, Perda function as regulatory instruments aimed at accommodating the specific interests of local communities, in line with fundamental values, contextual needs, and the hierarchy of applicable laws and regulations. However, the high frequency of annulment or cancellation of Perda indicates dissonance or non-compliance with the principles of sound legislative formation. This phenomenon raises the urgency to review the extent to which philosophical, sociological, and legal foundations have been internalized and comprehensively implemented in the regional legislative process. Therefore, this study focuses on analyzing the relevance of these three fundamental foundations to the quality and legitimacy of regional legal products. This study adopts a normative-juridical legal research method, involving descriptive analysis of the corpus of laws and regulations, legal doctrine, and the empirical practice of Perda formation. The results highlight that: the philosophical foundation provides a normative orientation in the form of ethical-teleological values ​​and goals; the sociological foundation reflects the actual needs and social realities of the communities subject to regulation; Meanwhile, the legal basis guarantees formal legality and vertical and horizontal consistency with the national legal system. Key findings indicate that these three foundations are inherently relevant and complementary in determining the quality of regional regulations. Synergy and harmonious integration between them are essential prerequisites for producing regional legal products that have legal validity, are capable of upholding substantive justice, and are responsive to the dynamics of public needs.  

This study examines the communication strategy of PT Nutrifood Indonesia through the L-Men Creator Crew (LCC) program as an implementation of the Integrated Marketing Communication (IMC) theory within the context of digital affiliate marketing. The research background stems from the shifting marketing landscape toward collaboration with content creators as a means to build authentic relationships and enhance brand awareness. The purpose of this study is to analyze how L-Men’s communication strategy is integrated across various IMC elements, including advertising, sales promotion, public relations, direct marketing, personal selling, and digital marketing. This research employs a descriptive qualitative approach, with data collected through observation, in-depth interviews, and documentation. The findings indicate that L-Men successfully established an effective two-way communication system with its affiliate community through a community-based approach, personalized guidance, and consistent promotional support. The integration of messages across digital channels creates synergy that strengthens the brand image as an active, inspiring, and relevant brand for the younger generation. The implications of this study emphasize the importance of implementing IMC that focuses on long-term relationships and community collaboration in contemporary digital communication strategies.

Arbuscular Mycorrhizal Fungi (AMF) are biological agents that play an important role in increasing the efficiency of nutrient uptake and plant tolerance to abiotic stress, especially in acidic soils such as ultisols. This study aims to analyze the growth and yield responses of chili (Capsicum annuum L.) to the combination of NPK fertilizer doses and AMF inoculation. The study was conducted in Sungai Talang, Gadut, Agam Regency, from June to October 2025 using a Factorial Completely Randomized Design with two factors, namely AMF inoculation (without AMF, Glomus sp., and Rhizophagus sp.) and NPK fertilizer doses (100%, 75%, 50%, and 25% of the recommendation). The results showed a significant interaction between AMF inoculation and NPK doses on plant height, dry weight, flowering time, and fruit yield per plant. Glomus sp. inoculation with a 50% NPK fertilizer dose resulted in the highest growth and yield, equivalent to the 100% NPK treatment without AMF. The integration of AMF with a 50% reduction in NPK dosage has been shown to maintain crop productivity. This strategy can serve as a basis for developing a sustainable agricultural system based on nutrient efficiency and soil microbial balance.

Accurate paddy field area data is a crucial factor in agricultural development planning, particularly as a basis for formulating data-driven programs and policies. One of the main problems encountered at the regional level is the continued reliance on administrative data that does not fully reflect actual field conditions due to land use changes, boundary inaccuracies, and limited verification processes. This study aims to determine an appropriate method for obtaining accurate paddy field area data through the application of Geographic Information Systems (GIS) in Maros Regency. The research employed a descriptive quantitative approach using spatial analysis methods. The data utilized consisted of Paddy Field Base Data, National Geospatial Base Maps, high-resolution satellite imagery, and field verification data. Spatial analysis was conducted through digitization, overlay, intersect, and area calculation processes using ArcMap 10.8 software. The results indicate that GIS-based spatial analysis produces more accurate and verified paddy field area data compared to conventional administrative data. The integration of spatial data with field verification effectively minimizes measurement errors and boundary discrepancies. This method can serve as a reliable reference for providing accurate agricultural base data to support planning and policy-making in the agricultural sector.

Background: Constipation is a common health problem among infants aged 6–12 months, which can lead to discomfort, feeding difficulties, and reduced quality of life. Non-pharmacological interventions, such as the I Love You (ILU) massage, have been suggested to improve bowel regularity and reduce gastrointestinal discomfort in infants. Objective: This study aimed to examine the effect of ILU massage on reducing constipation in infants aged 6–12 months at the South Bulango Health Center. Methods: A pre-experimental design with a one-group pretest–posttest approach was applied. Data on bowel movement frequency, stool consistency, and abdominal discomfort were collected before and after the intervention using structured observation sheets and caregiver questionnaires. Data analysis was performed using paired t-tests, with statistical significance set at p < 0.05. Results: The results showed a significant increase in bowel movement frequency from 2.1 ± 0.8 times per week before the intervention to 4.5 ± 1.0 times per week after the intervention (p = 0.000). Stool consistency improved from a mean Bristol score of 2.0 ± 0.6 to 4.0 ± 0.7 (p = 0.000), and abdominal discomfort decreased from 3.5 ± 1.0 to 1.2 ± 0.8 (p = 0.000). These findings indicate that ILU massage effectively alleviates constipation symptoms in infants. Conclusion: ILU massage is an effective, safe, and non-invasive method to reduce constipation in infants aged 6–12 months. Involving caregivers in the intervention enhances its effectiveness and supports parent–child bonding, making it suitable for integration into routine infant care at community health centers.

Waste management remains a major challenge, particularly due to the lack of public awareness and habits in sorting waste from its source. Innovative technology-based solutions are needed to support more effective waste management systems. This study aims to design and develop an Internet of Things (IoT)-based smart trash bin capable of automatically sorting metal and non-metal waste. The system utilizes an ESP32 microcontroller as the main controller, an LJ12A3-4-Z/BY sensor to detect metal materials, an E18 sensor to detect non-metal materials, and an ultrasonic sensor to monitor bin capacity. The waste separation mechanism is operated by a servo motor controlled by the system, while the Blynk application is integrated for real-time monitoring and full-capacity notifications sent directly to the user’s smartphone. The research stages included hardware design, microcontroller programming, IoT platform integration, and functionality testing to ensure system performance and reliability. The results showed that the smart trash bin operated as expected, successfully identifying and separating metal and non-metal waste automatically, while also sending real-time notifications to the user when the bin approached full capacity. The implementation of this technology has the potential to modernize waste management processes, improve the efficiency of waste sorting, and reduce dependency on manual labor. Furthermore, this research opens opportunities for future development by integrating additional sensors and cloud-based data management systems to support smart city initiatives and sustainable waste management practices.

Manual post-harvest paddy stirring requires significant time and labor and often results in uneven mixing, which can affect grain quality. To address this issue, this study designed and implemented a prototype of an Internet of Things (IoT)-based paddy stirring robot to simplify the process and improve efficiency. The system utilizes an ESP32 microcontroller as the main controller, DC motors as the stirring mechanism, and an IoT module for wireless connectivity to a mobile application. The research stages included hardware design, control system programming, IoT platform integration, and performance testing. Testing was conducted to evaluate response time, mixing uniformity, and power consumption. The results showed that the system could be operated remotely via a local Wi-Fi network with an average delay of less than 1 second, enabling real-time control. The prototype successfully stirred 0.3 kg of paddy with a mixing uniformity rate of 92% and an average power consumption of 12 watts. The application of IoT in the paddy stirring mechanism significantly improved time efficiency, reduced manual labor requirements, and maintained grain quality compared to traditional methods. These findings indicate the potential for further development into a large-scale automated paddy processing system with integrated humidity and temperature sensors for real-time quality monitoring, supporting the modernization of post-harvest processing through digital technology.

This research seeks to evaluate how asset and logistics management innovation enhances operational efficiency in the Household Division of the East Java Provincial Secretariat. The study focuses on the bureaucratic reform initiative aimed at attaining transparent, accountable, and effective asset management via digital transformation. The emphasis lies on how digital inventory systems, purchasing methods, and asset allocation aid in minimizing budget waste and improving efficiency. This research utilized a qualitative descriptive strategy through a case study technique. Data were gathered via extensive interviews, direct observation, and analysis of internal documents, subsequently undergoing data reduction and triangulation to confirm validity. The results indicate that the adoption of the e-inventory system has enhanced administrative efficiency by as much as 30%, but issues persist with data integration and employee digital skills. Additionally, the lack of a real-time public monitoring system restricts transparency in logistics management. The research advises enhancing employee training, creating cohesive SOPs, and adopting technology-driven assessment systems. These actions are anticipated to promote effective, efficient, and sustainable asset management in the East Java Provincial Secretariat.

This study examines the phenomenon of creator teachers on TikTok as a form of digital professionalism that represents the integration of ethical values, aesthetics, and educational philosophy. The focus of the research lies in how teachers negotiate moral responsibility and creative expression in the algorithmic culture of social media. The aim of this research is to analyze the philosophical meaning behind teachers' digital representations as well as interpret how moral and aesthetic values are reflected in their pedagogical practices. The method used is digital netnography with four stages: online observation, digital documentation, audience interaction analysis, and researcher reflection. A total of eight teacher accounts were analyzed with a total of 80 videos using a categorization of themes that focused on ethics, aesthetics, and professionalism. The results showed that 62.5% of the content was educational and featured learning innovations, while the other 37.5% contained elements of entertainment and social interaction. High audience interaction shows public appreciation for the creativity and integrity of teachers. Popularity is not solely generated by algorithms, but by the appreciation of moral values and pedagogical beauty in the actions of teachers. Based on the framework of arete and phronesis from Aristotle and the concept of aesthetic experience from Dewey (1934), this study concludes that the digital professionalism of teachers is a form of reflective praxis that combines ethical responsibility and creative expression. This research makes a theoretical contribution by integrating digital netnography and educational philosophy, and shows that teachers in the digital era play the role of moral and creative agents who maintain the dignity of their profession in the algorithmic space.

The paradigm of the Indonesian criminal justice system is currently undergoing a significant shift from a retributive approach toward a restorative one. Criminal offenses resulting from negligence (culpa) present a unique case within this transition, as they lack malicious intent (mens rea in the form of dolus), yet often result in severe harm or loss of life. Despite its potential, the application of restorative justice for culpa offenses remains hindered by fragmented and sectoral regulations among law enforcement agencies, leading to legal uncertainty and inconsistent implementation. This research aims to analyze the urgency of restorative justice in negligence cases and proposes a model for its reconstruction. Using a normative juridical research method with statutory and conceptual approaches, this study examines existing regulations from the National Police, the Attorney General’s Office, and the Supreme Court. The findings indicate that the current framework requires a structural reconstruction through the synchronization of inter-institutional policies and the integration of restorative justice principles into the National Criminal Procedure Code (KUHAP). This reconstruction is essential to ensure a unified standard that balances legal certainty, the rehabilitation of the offender, and the restoration of the victim’s rights in unintentional crimes.

An answer to the worldwide need for solutions to food security, data fusion technology that combines climate data with satellite imagery greatly improves the accuracy of agricultural yield predictions; this study intends to examine the advancements, methods, and key contributions of this area. By sifting through 62 papers pulled from Scopus, this research employs the SLR methodology. Document type, data source, open access, subject area, and year of publication (2020–2024) are some of the categories filtered through by Boolean keywords in the selection process. To assess patterns in publications, the efficacy of machine learning models, and key contributions, bibliometric analysis was performed. An upward tendency in publication has been identified by the analysis, particularly beyond the year 2023. Integrating geographical and temporal data has been a great success with machine learning models like Random Forest, Random Forest, and Gradient Boosting. Data resolution, integration of data from several sources, and a real-time framework are still missing pieces to the puzzle when it comes to generalizing research outcomes. More complex data fusion approaches, multiregional datasets, and advanced machine learning models to back more accurate agricultural predictions are all things that this study notes as needing additional investigation in the future. To further innovate agricultural yield prediction, multidisciplinary collaboration is also crucial.

This study analyzes failures in the bending machine at PT. XYZ and determines maintenance priorities to reduce downtime and improve production efficiency. The company often faces repeated breakdowns, especially in hydraulic and control components, which negatively impact productivity. To address these issues, the research applies Failure Mode and Effect Analysis (FMEA) and Fault Tree Analysis (FTA). The study employs a descriptive qualitative approach using downtime and repair data from September 2024 to February 2025. FMEA was conducted to identify failure modes, effects, and causes, and to calculate the Risk Priority Number (RPN) as a basis for prioritization. FTA was then applied to trace root causes by mapping logical relationships among contributing factors leading to the top event. Recommendations were formulated with the 5W+1H method to propose preventive maintenance actions. The results indicate that the hydraulic valve is the most critical component, with an RPN value of 504 due to oil contamination. The main causes include damaged filters, improper oil usage, and lack of a cooling system. The hydraulic cylinder seal and back gauge were also found to contribute significantly to machine failures. FTA analysis revealed root causes such as inadequate maintenance procedures, unsuitable materials, and insufficient inspections. The proposed improvements involve regular replacement of oil filters, structured lubrication schedules, installation of oil coolers, and technician training to strengthen compliance with standard procedures. Overall, the integration of FMEA and FTA provides a systematic approach to identify critical components and root causes, enabling PT. XYZ to implement preventive strategies that minimize failures, reduce downtime, and improve bending machine performance sustainably.

This research focuses on analyzing the performance of a vacuum pan automation sistem using solenoid valves at PT. Duta Sugar International as an effort to improve the efficiency and quality of refined sugar production. The vacuum pan is the main tool in the sugar crystallization process that functions to evaporate the sugar solution under low pressure. Problems faced in the manual sistem are temperature instability and high dependence on operators, which impact time inefficiency and decrease product quality. The purpose of this research is to design and analyze the implementation of an automatic control system based on a Distributed Control Sistem (DCS) with the integration of solenoid valve actuators to optimize temperature stability and cooking process efficiency. The research method was carried out using qualitative and quantitative approaches through direct observation, technical interviews with the automation team, and supporting literature studies. The results showed that the automatic system was able to maintain a stable cooking temperature in the range of 78°C–85°C, lower and more efficient than the manual system which fluctuates between 90°C–100°C. In addition, cooking time was reduced by 10–15 minutes per cycle, and the crystallization process became more uniform with more efficient energy consumption. The results showed that the implementation of DCS-based automatic control with solenoid valves significantly improved operational stability, productivity, and energy efficiency. Thus, this automation sistem proved to be an effective solution for optimizing vacuum pan performance in the modern sugar industry.

 The development of major cities in Indonesia, including Medan, is inseparable from complex social, economic, and political dynamics. This transformation often leads to a mismatch between the city's image and its local identity, reduced access to adequate housing, and the decline of public open spaces, particularly in urban fringe areas such as Pulo Brayan. In fact, public spaces play a crucial role in supporting social interaction and ecological functions within a city. This study focuses on the importance of redesigning public space in the Pulo Brayan area using a sustainable architectural approach. The main objective is to create a public space that can address social, economic, and environmental challenges in an integrated manner. The proposed design emphasizes the integration of historical values, active community participation, and ecological functionality to support the realization of sustainable cities, in line with the principles of Sustainable Cities and Communities. Thus, this design is expected to serve as a contextual, inclusive, and sustainable model for public space regeneration.

This study addresses the inefficiencies in the manual student payment administration system currently used at SMK Bina Insan Nusantara, which relies on handwritten ledgers and Microsoft Excel spreadsheets, leading to frequent data errors, delayed reporting, and difficulties in retrieving payment records. The research aims to design a web-based information system to streamline the recording, monitoring, and reporting of student payments. A descriptive research approach was employed, with data collected through direct observation, semi-structured interviews with administrative staff, and literature review. System analysis was conducted using the PIECES framework, and system design followed the Unified Modeling Language (UML) methodology. The proposed system features user authentication, student data management, real-time payment input, digital receipt generation, and automated reporting (daily, monthly, and yearly). Black-box testing confirmed that the system functions as intended, validating inputs, processing transactions accurately, and generating reliable outputs. Findings indicate that the web-based system significantly improves data accuracy, operational efficiency, accessibility, and service quality compared to the existing manual process. The implementation of this system enables school administrators to manage payments more effectively, provides students and parents with timely access to payment information, and supports faster, data-driven decision-making by school leadership and the foundation. Future enhancements could include mobile integration and online payment gateways.

Decision Support Systems (DSS) can become inaccurate when used with imprecise, incomplete, or dynamically changing data. Fuzzy logic techniques based on conventional methodologies may be strong at handling vagueness, but are unable to adapt their behavior in response to different data distributions on their own. This paper recommends the creation of an Adaptive Fuzzy Logic Integration Framework that dynamically updates membership functions and rule weights in response to data variation to enhance decision accuracy under uncertainty. The described framework combines Fuzzy Inference Systems (FIS) with learning-based parameter update concepts borrowed from adaptive optimisation. The model was simulated and executed on a hybrid algorithmic platform that included gradient-based parameter tuning and iterative feedback learning. Experimental tests were conducted on uncertainty-generated data sets to compare adaptive and conventional fuzzy models in terms of ISME (Root Mean Square Error), convergence stability, and decision accuracy. Previous results show that the adaptive model achieves a 21.4% increase in accuracy and a 28% improvement in convergence rate compared to non-adaptive fuzzy systems. Moreover, the model ensures stable performance even in the presence of random data perturbations, demonstrating its ability to handle uncertainty. This book incorporates a self-tuning fuzzy decision model that converts static inference structures to dynamic evolving decision engines. The outcomes establish a foundation for next-generation smart DSS for real-time optimization in uncertainty.

This study aims to analyze the strategies used by business actors in facing local market competition through Porter's Five Forces Model approach, which includes: the threat of new entrants, the threat of substitute products, the bargaining power of suppliers, the bargaining power of consumers, and the intensity of competition between competitors. This research uses a qualitative method with a descriptive approach. Data collection techniques were conducted through in-depth interviews with three categories of informants, namely business owners, employees, and consumers. Data analysis was conducted by identifying patterns, differences, and linkages between the strategies applied and aspects of Porter's Five Forces Model. The results showed that the main strendgth in local competition lies in the high intensity of competitors and the increasing number of alternative products offered. The integration strategy between online and offline marketing is proven to help dealers reach consumers more widely and build customer loyalty. The use of social media, digital promotions, and direct-to-consumer services such as exhibitions and local community partnerships are key to adaptation in the digital era. By understanding Porter's five aspects in depth, businesses can formulate strategies that are more adaptive, innovative, and highly competitive in the local market.

This study aims to identify the types of products or creative works produced by Indonesia’s golden generation in the context of developing a talent-based creative economy in the digital era. A talent-based economy refers to an economic model that leverages individual skills, creativity, and innovation as the main capital for generating economic value. Using a literature review approach, this research analyzes the implementation of a talent- driven creative economy, particularly how the youth especially Gen Z and millennials produce various digital outputs such as illustrations, animations, educational applications, video content, NFTs, and social media-based e-commerce products. This implementation reflects the integration of individual creativity with digital technology utilization, aligning with core 21st-century skills such as critical thinking, collaboration, communication, and digital literacy. The findings reveal that the creative economy contributes not only to cultural and artistic sectors but also to real economic sectors such as digital MSMEs, content industries, educational technology (edutech), and the broader digital economy. These insights show that with the support of digital infrastructure, technological literacy, and affirmative policies, the golden generation can foster innovation with economic value while enhancing national competitiveness amid global transformation toward Indonesia Emas 2045.