Publication Search

The quality of boiler feedwater is a crucial factor in maintaining the operational reliability of ship machinery systems against the risks of corrosion and scale formation. This research focuses on the design and development of a real-time monitoring system based on the Internet of Things (IoT) to automatically determine water quality. The hardware development utilizes a NodeMCU ESP32 microcontroller that integrates four main sensors: a pH sensor, a DS18B20 temperature sensor, a Total Dissolved Solids (TDS) sensor, and a turbidity sensor. The methodology applied is an experimental systems engineering model, encompassing circuit design, software programming, and the implementation of simple artificial intelligence. The automatic decision-making process in this tool is designed using zero-order Sugeno fuzzy logic with input parameters of turbidity, salinity, and acidity level (pH). The obtained data is transmitted wirelessly to a Firebase database and visualized through a 0.96-inch OLED display. Functional tests on seven fluid characteristics including pure water, hard water, and muddy water show that this prototype can accurately classify water quality into Good, Fair, and Poor categories. The main contribution of this design is the provision of a preventive, efficient, and applicable boiler maintenance solution for the modern shipping industry.

This study analyzes the implementation of the Central Papua One-Stop Service Information System (Sipersateng) at the Central Papua Provincial Secretariat as a model for administrative innovation in the New Autonomous Region (DOB). The main focus of the study is to explore how a region with extreme infrastructure limitations can leapfrog or institutionalize towards an agile and transparent digital bureaucracy. Using a qualitative descriptive-analytical method with a case study approach, this research involved in-depth interviews, participant observation, and documentation studies to capture the dynamics of the transition from manual to digital systems. The results show that Sipersateng successfully reduced administrative process time by up to 60%. This success was driven by three main dimensions: institutional legitimacy through strong leadership commitment, technical resilience through offline-syncing features to address internet signal fluctuations, and significant changes in work culture. Adaptation strategies such as peer-mentoring methods for senior officials and mandatory policies through gubernatorial instructions proved effective in breaking down organizational cultural resistance. This study concludes that Sipersateng is not merely a technical tool, but rather a manifestation of Frontier Digital Bureaucracy that is able to mitigate the risk of maladministration and build public accountability in the newly formed province. This innovation demonstrates that geographic limitations are not a major barrier to achieving clean governance if supported by inclusive and adaptive system design. These findings provide a theoretical contribution to the public management literature on digitalization in regions with high structural challenges.

This study examines the effect of workload and work-life balance on employee performance through job satisfaction among working master’s students in Jakarta. This population faces dual demands from professional and academic responsibilities, making the maintenance of job satisfaction and performance increasingly challenging. Drawing on the Job Demands-Resources (JD-R) Model and Social Exchange Theory, this study investigates how job demands and resources influence employee outcomes. A quantitative causal approach was employed using data from 57 working master’s students collected through convenience sampling. Data were analyzed using Structural Equation Modeling-Partial Least Squares (SEM-PLS) with SmartPLS 4. The results show that workload negatively and significantly affects job satisfaction but has no significant direct effect on employee performance. In contrast, work-life balance positively and significantly affects both job satisfaction and employee performance. Job satisfaction positively affects employee performance and fully mediates the relationship between workload and employee performance, while partially mediating the relationship between work-life balance and employee performance. These findings support the JD-R Model and Social Exchange Theory by highlighting the role of job satisfaction as a mechanism linking work conditions and employee performance. Practically, organizations and higher education institutions should support work-life balance and manage workload effectively to enhance satisfaction and performance among working postgraduate students.

Collaboration between classroom teachers and Islamic Religious Education (PAI) teachers constitutes an essential strategy for instilling religious moderation values in elementary schools. This study aims to: (1) describe the forms of collaboration developed between classroom teachers and PAI teachers; (2) assess the effectiveness of such collaboration in inculcating religious moderation values; (3) identify changes in students' attitudes as tangible outcomes of collaboration; and (4) analyze supporting and inhibiting factors of collaboration at SDN 3 Wanamekar. A descriptive qualitative approach was applied using field study methods. Data were gathered through in-depth interviews, participatory observation, and document review. Data analysis followed the interactive model of Miles, Huberman, and Saldana, encompassing data condensation, data display, and conclusion drawing. Data credibility was ensured through source triangulation and technique triangulation. Findings indicate that collaboration occurs in two primary forms: reactive collaboration as a spontaneous response to students' intolerant behavior, and planned collaboration involving curriculum coordination, partial co-teaching, and joint evaluation. Collaboration was assessed as sufficiently effective yet suboptimal due to time constraints and excessive administrative burdens. Positive changes in students' tolerance and inclusive attitudes were identified as concrete outcomes. Supporting factors include favorable interpersonal communication, principal support, and moderation value integration in the Merdeka Curriculum. Main inhibiting factors are time limitations, administrative burdens, shallow conceptual understanding of religious moderation, and the absence of a standardized collaboration model. The study recommends establishing structured collaboration schedules and religious moderation training programs for all teachers.

Learning planning is a strategic component of instructional management because it guides teachers in linking objectives, materials, learning strategies, media, and assessment with students' characteristics. In practice, however, learning plans are often prepared individually and tend to be administrative, so teachers have limited opportunities to reflect on pedagogical decisions with colleagues. This study aims to describe and analyze collaborative-based learning planning management in improving teachers' pedagogical competence at SD Negeri Batujaya. The study used a descriptive qualitative approach with a case study strategy. Data were collected through observation, semi-structured interviews, and documentation, and were analyzed using the interactive model of Miles and Huberman, consisting of data reduction, data display, and conclusion drawing. The field data show that SD Negeri Batujaya has nine educators and education personnel consisting of one principal, six classroom teachers, and two subject teachers. The school also holds a teacher learning community twice a month. The findings indicate that collaborative planning is supported by the principal's academic leadership, the small number of teachers that enables intensive coordination, and the existence of a routine learning community. Collaboration helps teachers discuss teaching modules, student characteristics, learning strategies, media, and assessment. The main constraints are limited time, unequal teacher participation, and limited learning facilities. The study implies that a structured learning community can serve as a practical managerial strategy for strengthening teachers' pedagogical competence in elementary schools.

This study aims to examine the role of teachers in developing emotional intelligence among adolescent students at SMP Kesatrian Surakarta. Emotional intelligence is an essential aspect that supports academic achievement, social relationships, and character development. This research employed a qualitative approach using a case study method. Data were collected through in-depth interviews with 15 teachers teaching grades VII to IX, participant observations in classroom settings, and analysis of relevant school documents. The findings reveal that teachers play a strategic role in fostering students’ emotional intelligence through three primary approaches: emotional modeling by demonstrating appropriate emotional management (45%), facilitating emotion-based learning activities (30%), and evaluating students’ emotional intelligence development (25%). These roles significantly contribute to improving students’ self-awareness, self-regulation, empathy, and social skills. Supporting factors include emotional intelligence training programs provided by the local education authority and the school’s commitment to creating a supportive learning environment. However, major challenges consist of high administrative workloads among teachers (70%) and limited counseling facilities (50%). This study recommends continuous teacher training, the integration of emotional intelligence modules into lesson plans, and collaboration with school psychologists to ensure long-term monitoring and development of students’ emotional competencies. The findings contribute to the enrichment of emotional intelligence literature within the context of Indonesian secondary education.

The following study aims to analyze the influence of buzzer marketing, influencer marketing, and brand trust on purchase intention of Wardah products on TikTok Shop. The background of the study is based on the increasing use of TikTok Shop as a social commerce platform and the importance of digital marketing strategies in influencing consumer purchasing intention, especially in the cosmetics industry that demands brand trust. The research method uses a quantitative approach with a questionnaire distributed to 100 respondents. Data were analyzed through validity and reliability tests, classical assumption tests, and multiple linear regression. The results indicate that all instruments are valid and reliable and the model meets classical assumptions. Partially, buzzer marketing, influencer marketing, and brand trust have a significant effect on purchase intention, with coefficients of 0.494, 0.362, and 0.264, respectively. Simultaneously, all three variables also have a significant effect. The coefficient of determination value of 0.535 indicates that the variation in purchase intention is explained by these three variables.

This study aims to analyze the role of talent management and employee experience in enhancing employee loyalty in the e-commerce industry through a non-empirical, conceptual approach. The study employs a qualitative design with a mixed-methods literature synthesis to construct a model of the relationship between talent management, work experience, and digital workforce loyalty. Data were obtained through a review of reputable international and national scientific literature addressing talent management, employee experience, employee engagement, retention, and employee loyalty in the digital and e-commerce sectors from 2020 to 2026. Analysis was conducted using thematic synthesis and comparative conceptual analysis, with the high turnover rate in the e-commerce industry serving as the primary interpretive context. The research findings indicate that employee loyalty is fostered through the integration of competency development, career development, rewards and recognition, employer branding, work flexibility, organizational communication, and psychological safety. Employee experience strengthens employee engagement and organizational commitment, while talent management enhances perceptions of organizational support and professional career sustainability. The study’s conceptual model demonstrates that the integration of these two variables contributes to workforce retention, organizational stability, productivity, and the enhancement of e-commerce companies’ competitiveness in a competitive digital business environment

Gravity measurements in the Dieng geothermal area at regional and wide scales are still limited. GGMplus data provides large-scale gravity information that can be used for subsurface mapping more efficiently and at lower cost while maintaining optimal results. The GGMplus gravity acceleration data is processed into complete Bouguer anomalies, then separated using upward continuation to obtain regional and local anomalies. Both anomalies are further analyzed using the first horizontal derivative (FHD) and second horizontal derivative (SHD). The results are then used for 3D modeling using Grablox and Bloxer software. The Bouguer anomaly distribution ranges from approximately ‒70 to ‒230 mGal, with high anomalies located in the northeast of the study area, corresponding to geothermal manifestations in Dieng. FHD analysis indicates a regional anomaly source located 6.8 km northeast, interpreted as a magmatic zone. Local anomalies reveal an intrusion body about 2 km in size at a distance of 4 km in Mount Prau, interpreted as a heat source. The 3D model shows high-density values of 2.87 g/cm³ for regional anomalies and 2.8–2.9 g/cm³ for local anomalies, associated with ancient volcanic rocks and diorite intrusions acting as a heat source in the Sikidang–Merdada geothermal system.

This research is motivated by the low poetry writing skills of grade VIII B students at MTs Mujahidin Pontianak, evidenced by a pre-cycle average score of 64% and a classical completeness rate of only 34%. The primary issues include students' difficulties in developing imagination, word choice (diction), and the limited use of innovative learning media. This study aims to improve poetry writing skills through the implementation of the Project Based Learning (PjBL) model assisted by Canva digital media. This study employed Classroom Action Research (CAR) conducted in two cycles, comprising planning, action, observation, and reflection phases. The research subjects consisted of 23 students. The results indicated a significant improvement in each cycle. The students' average score increased to 80% in cycle I and reached 87% in cycle II. Classical completeness also rose from 65% in cycle I to 86% in cycle II. The use of Canva was proven to stimulate students' creativity and motivation in expressing ideas into aesthetic poetry. The conclusion of this study is that the integration of the PjBL model and Canva media is effective in improving the quality of both the process and the learning outcomes of poetry writing. It is suggested that teachers adopt this model as an innovative alternative for literature learning in the digital era.

This research aims to develop audio-visual learning media based on the Discovery Learning model to improve the ability to write news texts in grade XI students of SMK Mutiara Qolbu Cianjur. The Research and Development (R&D) method is used by referring to the development model which includes the stages of identification of potentials and problems, data collection, product development, product validation, limited scale trials, product revisions, large-scale trials, final revisions, and final products. The research subjects consisted of 103 students in grade XI of SMK Mutiara Qolbu Cianjur which were divided into three classes. Data collection techniques were carried out through observation, interviews, questionnaires, expert validation, and news text writing tests. Data were analyzed using quantitative and qualitative descriptive techniques. The results of the study show that audio-visual learning media based on the Discovery Learning model obtained a very good feasibility level based on the results of the validation of material experts with a percentage of 91% and the validation of media experts of 89%. The results of the trial showed that the learning media received a positive response from students with an average percentage of 87.25%. In addition, the use of Discovery Learning-based audio-visual learning media has proven to be effective in improving students' ability to write news texts. This is shown by the increase in the average score of students from 64.21 in the pre-test to 84.37 in the post-test. The use of audio-visual media also improves students' learning activities, such as active questioning, discussion participation, and the ability to identify news elements.

The development of Artificial Intelligence (AI), particularly Large Language Models such as ChatGPT, has changed the paradigm of creative writing learning in secondary schools. However, empirical evidence regarding the relationship between the intensity of this technology utilization and the quality of students' literary works is still limited. This study aims to examine the relationship between AI utilization and the poetry writing skills of grade XI students at Karya Budi Putussibau Senior High School. The method used was a quantitative correlational method with a sample of N = 27 students selected through a random sampling technique. Data were collected using an AI utilization questionnaire (30 valid and reliable statements, (α= 0.975) and a poetry writing test assessed with an analytical rubric. The results of descriptive statistical analysis showed that the level of AI utilization was in the high category (M =    3.70) and students' poetry writing skills were in the good category (M =  78.41). The Pearson Product Moment correlation test showed a very strong and significant positive relationship between the two variables (r = 0.978; p < 0.01). These findings confirm that proper AI integration acts as a creative catalyst that helps students explore diction and imagery structure in the poetry writing process.

Evacuation planning in spatial networks requires the identification of critical nodes that maintain connectivity, accessibility, and flow distribution during emergency situations. Existing approaches often rely on individual centrality measures, which capture only a single structural dimension of node importance and may therefore produce incomplete or biased prioritization. To address this limitation, this study proposes a Composite Centrality Framework for identifying critical nodes in meso-scale spatial networks with semi-structured connectivity. The network is modeled as a weighted undirected graph, and Degree, Betweenness, and Closeness Centrality are integrated into a unified composite index to capture complementary structural roles. The framework is implemented in MATLAB and evaluated using a real-world campus spatial network consisting of 30 nodes and a synthetic network comprising 16 nodes with comparable structural characteristics. The results reveal a highly uneven distribution of node importance, with a small set of structurally dominant nodes consistently identified across both networks. In the campus network, node P1 achieves the highest composite centrality score (0.2195) and ranks first across the individual centrality measures, indicating its dominant role in maintaining network connectivity, accessibility, and flow distribution. Quantitative evaluation demonstrates strong agreement between the composite ranking and the individual measures, with Spearman rank correlation coefficients of 0.94, 0.89, and 0.91 for Degree, Betweenness, and Closeness Centrality, respectively. However, only one node (P1) appears simultaneously in the top five of all rankings, highlighting the complementary nature of the individual centrality measures and supporting the need for multi-criteria integration. Sensitivity analysis across three weighting scenarios yields rank correlations exceeding 0.97, confirming ranking stability and methodological robustness. Overall, the proposed framework provides a balanced and reliable approach for identifying critical nodes and demonstrates potential applicability to evacuation planning and spatial network analysis in semi-structured environments.

Income inequality is a structural development problem that can trigger social conflict, affect long-term economic growth, and hinder the achievement of SDGs. The purpose of this study is to analyze the factors that contribute to income inequality in East Java Province by combining demographic, social, and economic factors. The data used includes panel data from 38 districts and cities in East Java Province between 2017 and 2023 period. The analysis method used is panel data regression with a fixed effect model. To measure the effect of variables on income inequality, the testing was conducted partially and simultaneosly. The individual test results show that elderly dependency and poverty have a positive and significant relationship, while the human development index and economic growth are proportional but not significantly, and the open unemployment rate is not significant negative. Simultaneously, all variables have a significant effect on income inequality of 55.67 percent, with the remaining 44.37 percent influenced by variables outside the scope of this study.

This study aims to analyze the role of Christian Religious Education (CRE) teachers as counselors in shaping students’ social behavior amid increasing behavioral deviations such as bullying, violence, misuse of social media, and low tolerance. These phenomena are influenced by internal factors such as emotional instability and identity formation, as well as external factors including family, environment, and digital culture. This research employs a descriptive qualitative method using a library research approach by collecting data from books, scholarly journals, and relevant documents. The findings reveal that CRE teachers play a strategic role not only as educators but also as counselors who accompany students holistically, covering spiritual, moral, emotional, and social aspects. The counseling role performed by CRE teachers includes modeling behavior, mediating conflicts, strengthening self-control, providing social support, and building empathetic relationships with students. Through this approach, students undergo a process of internalizing Christian values such as love, forgiveness, responsibility, and tolerance, which contribute to the development of positive social behavior. Furthermore, collaboration among teachers, parents, and the community serves as a supporting factor in successful character formation. Therefore, the role of CRE teachers as counselors is proven to be effective in shaping students’ social behavior in accordance with moral, social, and religious values, while contributing to the development of a generation with integrity and competitiveness.

This study aims to analyze the internalization of Islamic developmental psychology values through the Qur'an memorization (Tahfidz Al-Qur'an) program in shaping the character of middle adolescents aged 13–17 years in the digital era at Al Hayya Orphanage Foundation, Depok. Adolescence is a transitional stage characterized by significant physical, emotional, social, and spiritual changes. In the digital era, adolescents face various challenges, such as social media addiction, cyberbullying, declining social interaction, and moral degradation, all of which may affect character development. Therefore, strengthening character education based on Islamic values has become increasingly important. This research employed a qualitative approach using a case study method to gain an in-depth understanding of the phenomenon under investigation. Data were collected through observation, in-depth interviews, and documentation involving orphanage caregivers, Tahfidz instructors, and students at Al Hayya Orphanage Foundation, Depok. The findings indicate that the Tahfidz program plays a positive role in character formation through habituation, role modeling, spiritual guidance, and a supportive religious environment. From the cognitive perspective, students demonstrated improvements in discipline, concentration, responsibility, and self-regulation. Emotionally, they became more patient, better able to control their emotions, and experienced inner peace through intensive engagement with the Qur'an. Socially, the program fostered attitudes of mutual assistance, respect, empathy, and stronger social relationships among students.This study reveals that the Tahfidz program serves not only as a means of memorizing the Qur'an but also as an effective medium for internalizing the values of Islamic developmental psychology and fostering Qur'anic character among adolescents in facing the challenges of the digital era.  

Package C equivalency education is a strategic non-formal education policy designed to provide senior secondary education access for citizens who are not served by the formal schooling system. This study evaluates the implementation of the Package C Equivalency Education Policy at the Non-Formal Education Unit Sanggar Kegiatan Belajar in Batudaa District, Gorontalo Regency, Indonesia. The study addresses the gap between the policy objective of expanding equitable access to secondary education and the practical constraints found in local implementation. Using a qualitative evaluative case study design, the research applies the Context, Input, Process, and Product evaluation model. Data were collected through in-depth interviews, observation, and document analysis involving program managers, tutors, learners, parents, alumni, and non-formal education supervisors. The findings show that the policy is contextually relevant to learners who face economic barriers, employment demands, age constraints, and limited access to formal schooling. However, input capacity remains insufficient due to limited tutor availability, inadequate andragogical competence, insufficient learning media, and learning modules that are not yet fully contextualized. The process dimension reveals inconsistent learning schedules, lecture-dominated instruction, weak adult-learning practices, and suboptimal monitoring. Product evaluation indicates positive outcomes in graduation, academic confidence, and access to administrative requirements for work or further study, but practical skills and socio-economic impacts remain limited. The study concludes that Package C policy implementation requires stronger socialization, tutor capacity development, contextual learning resources, flexible learning management, and local policy support to generate sustainable public value.

The paradigmatic transformation of Christian Religious Education (CRE) in the digital era has become a crucial issue to be examined because the development of information technology, virtual culture, and globalization has brought significant changes to adolescents’ mindsets, behaviors, and character formation. These conditions have created various moral and spiritual challenges, such as identity crises, declining ethical sensitivity, and the increasing influence of individualistic and hedonistic values among young people. This study aims to analyze the paradigm transformation of Christian Religious Education in shaping adolescent character through a theological-pedagogical perspective that is relevant to the context of the digital era. The research employs a qualitative method using a library research approach and descriptive analysis of various scientific, theological, and pedagogical sources related to Christian education, teacher spirituality, and adolescent character development in the digital age. The findings indicate that the transformation of the CRE paradigm should be directed toward contextual, participatory, and transformative learning by positioning teachers as spiritual role models and facilitators of character formation. Furthermore, the integration of Christian values, the ethical use of technology, and collaboration among schools, families, and churches are important factors in shaping adolescents who possess strong character, integrity, and spiritual maturity amid increasingly complex digital challenges.

This study investigates the critical factors influencing job satisfaction among night shift employees at RSUD KHZ Musthafa Singaparna Tasikmalaya, given the inherent challenges of 24-hour hospital operations. Night shift workers are particularly susceptible to physical and psychological strain, which can elevate job stress and disrupt work-life balance, ultimately threatening their job satisfaction. The research employs a quantitative associative approach, utilizing Likert-scale questionnaires distributed to 75 night shift staff selected through purposive sampling. Data were analyzed using Multiple Linear Regression with SPSS. Instrument validation confirmed that all items were both valid and reliable. Partial regression results reveal that job stress exerts a positive and significant effect on job satisfaction (t = 3.106, Sig. = 0.003), while work-life balance also demonstrates a positive and significant impact (t = 1.815, Sig. = 0.044). Simultaneously, both variables together significantly influence job satisfaction (F = 10.121, Sig. < 0.001), with an RSquare of 0.419, indicating that 41.9% of the variance is explained by the model, while 58.1% is attributable to external factors. These findings underscore the importance for hospital management to actively manage job stress through targeted interventions and design equitable shift scheduling policies. Such strategies are essential to sustaining high levels of employee satisfaction, which in turn supports both staff well-being and the quality of patient care in a demanding healthcare environment.

This study explores the business model of the .GIS platform product developed by Circlegeo using the Nine Buildings framework based on the Business Model Canvas and the Theory of Change framework to analyze the social impact created by the .GIS platform. Data were obtained through semi-structured interviews, non-participant observation, and systematic document analysis. The results show a shift in the business model. In 2022, Circlegeo shifted its target market from its previous focus on B2C and B2G customer segments to B2B and B2G, which will continue until 2026. The social impact analysis also shows that the .GIS platform's contribution to society is not only practical for geospatial analysis but also its usefulness in academic research. These findings indicate that Circlegeo positions the .GIS platform as a dual-purpose PLG instrument: introducing the company to potential customers of other paid products while simultaneously creating independent social impact. Previous research on freemium and product-led growth (PLG) business models has generally positioned free strategies as customer acquisition tools toward monetization, with limited potential for creating tangible social impact. This research contributes to the literature on PLG and freemium business models by demonstrating that such strategies can be a pathway to authentic social impact creation, not simply a step towards monetization.