Publication Search

The rapid development of network infrastructure demands high Quality of Service (QoS), especially in Metro Ethernet networks widely utilized by telecommunication service providers. A primary challenge is efficient bandwidth management to ensure network stability and performance. This research aims to optimize bandwidth management by implementing the Y.1731 method based on Ethernet Operations, Administration, and Maintenance (OAM) on Raisecom devices. The methodology employed is a quantitative experimental approach based on technical simulation within an Professional Network Emulator Tool Lab (PNET Lab), where real-time network performance measurements are conducted using the ITU-T Y.1731 protocol for key parameters such as delay, jitter, and packet loss on Raisecom devices (represented by Cisco routers). The expected outcomes include increased efficiency in bandwidth utilization through more adaptive allocation, comprehensive and accurate real-time network performance monitoring capabilities, validation of OAM functions on Raisecom devices, improved Quality of Service (QoS) and better Service Level Agreement (SLA) attainment, and the provision of technical recommendations for network management. The implementation of Y.1731 is anticipated to quickly detect and respond to service degradation, thereby providing a strong basis for decision-making in network management and contributing to the enhancement of service quality in Metro Ethernet networks through optimization based on proactive monitoring.

In the digital era, the demand for practical and efficient security systems has significantly increased, particularly in the context of access control for restricted rooms or buildings. This research aims to develop an automatic door locking system utilizing an RFID card and a NodeMCU ESP32 microcontroller integrated with Internet of Things (IoT) technology through real-time notifications using the Telegram application. The system is designed to replace conventional locking methods that often present various weaknesses, such as key loss, physical duplication, and lack of remote access capabilities. The development method employed is the Research and Development (R&D) approach, consisting of needs analysis, system design, hardware and software implementation, followed by testing and evaluation. The main components used in the system include the RC522 RFID reader for user identification, Espressif manufactures the ESP-32 microcontroller, which is equipped with Wi-Fi and Bluetooth modules to enable wireless internet connections. NodeMCU ESP32 as the control center and internet connector, a relay module as an electronic switch, and a solenoid door lock as the actuator. The results show that the system is capable of accurately reading RFID card UIDs, granting access to registered cards, activating the solenoid to unlock the door, and sending access status notifications to Telegram in an average of less than three seconds. The system also effectively denies access to unregistered cards and sends warning messages accordingly. Therefore, this system enhances the security and efficiency of room access control and has the potential to be adopted as a prototype solution in the development of smart homes or modern access control systems.

Islamic education learning models in campus environments often face challenges in integrating critical thinking with religious character building. Dogmatic and lecturer-centered learning makes students less involved in discovering contextual religious meaning. This study aims to explore the development of an Islamic value-based Guided Inquiry learning model in Islamic education courses. The research method used is Research and Development (R&D) with an adaptation of the Thiagarajan, Semmel & Semmel model using the 4D approach (Define, Design, Develop, Disseminate), as well as a combination of quantitative and qualitative methods (mixed methods) through tests, questionnaires, observations, interviews, and reflective journals. Quantitative analysis used a mean difference test. The results showed that the developed model consisted of eight phases, namely Open, Immerse, Explore, Identify, Gather, Create, Share, and Evaluate, which were integrated with Islamic values, such as faith, honesty, responsibility, and tolerance. Expert validation showed high feasibility, namely 93.33%. The implementation in the student classroom showed the feasibility of the model syntax with an average observation score of 87.4%, with the Open and Share phases being the most consistent. Empirically, the developed model was effectively implemented in PAI learning with an increase in the average score in meeting I from 58.24 to 73.23, in meeting II from 66.17 to 84.5, and in meeting III, the average score increased from 55.34 to 81.78. The developed model had a very strong impact on shaping student behavior, as shown by the questionnaire results with a score of 93.48%. Supporting factors included the learning environment (with an influence score of 4.55), lecturers and teaching methods (influence score of 4.78), students (influence score of 4.19), and curriculum and material factors (score of 4.37). This means that these factors were identified as factors influencing the development of the learning model.

This article raises the academic issue of the low contribution of education quality to economic development in several developing countries, including Indonesia. This problem arises due to limited investment in developing quality human resources. Education plays a strategic role in shaping the intellectual capacity, skills, and productivity of the workforce, which are the foundation of sustainable economic growth. The purpose of this study is to analyze the urgency of education in supporting economic development through the perspective of Human Capital Theory, which emphasizes the importance of investing in people as a primary development asset. This study uses a desk study method by reviewing various academic literature, previous research results, and reports from international institutions regarding the relationship between education and economic growth. The results show that education plays a crucial role in driving economic and social development through the development of competent human resources. Based on human capital theory, investment in education can improve individual capabilities and societal welfare. Developed countries such as Finland, Japan, and Singapore have successfully demonstrated that large budget allocations to the education sector can sustainably increase economic productivity. However, developing countries and Muslim countries still face obstacles such as unequal access, limited facilities, and low teaching quality. Meanwhile, education in Muslim countries needs to be strengthened through curriculum reform and improved teaching quality to produce a skilled and globally competitive generation.

This study aims to analyze the role of TikTok as a digital marketing tool in increasing the number of streams and musicians' income, with a case study of the viralization of the song "Mangu" by Fourtwnty. Using a qualitative approach with a case study method, this study explores the dynamics of the virality of music content on the TikTok platform and its impact on the digital music ecosystem. The results show that the virality of songs is not solely triggered by algorithms, but also by the power of emotional narratives, the relevance of lyrics to the user experience, and the active participation of the audience in the form of production. This phenomenon is driving cross-platform conversions, where TikTok users are switching to streaming services such as Spotify and YouTube, thereby increasing digital royalties and opening up live performance opportunities for musicians. Organic marketing strategies based on audience engagement have proven to be effective in creating broad and sustainable exposure, especially among the digital native generation. This research confirms that TikTok is not only an entertainment platform, but also a strategic medium in building music branding and monetizing works creatively. These findings provide important implications for independent musicians and the music industry in designing adaptive and participatory promotional strategies in an increasingly competitive digital economy.

This study aims to analyze the narrative dissonance in the corporate communication of the Aqua brand, especially in the context of the crisis of meaning that arises between claims of natural purity and technical findings related to the use of borewells in the production process. Using a qualitative approach through content and narrative analysis, the study integrates two main theoretical frameworks: the Narrative Paradigm (Fisher, 1984) and Image Repair Theory (Benoit, 1995). The analysis focused on how companies are building, maintaining, and renegotiating their corporate narrative amid public pressure and consumer expectations. The results show that the legitimacy crisis arises due to the symbolic mismatch between the narrative of "purity" communicated and the operational reality revealed to the public. This tension triggered a strategic response from the company in the form of public clarification, transparency of the production process, and repositioning of messages to restore consumer image and trust. This study confirms the importance of narrative coherence and reflexivity in corporate communications, especially in an era of digital openness that demands accountability and consistency between symbolic messages and tangible practices. These findings contribute to the study of crisis communication and brand image restoration strategies, as well as a reference for companies in designing ethical, transparent, and sustainable communication to maintain legitimacy and credibility in the eyes of the public.

Indonesia faces significant challenges in achieving sustainable development, particularly due to the negative environmental impacts of rapid economic growth, such as deforestation, air and water pollution, and the increase in greenhouse gas emissions. Green Bonds have great potential as a financial instrument to promote sustainable development in Indonesia. Indonesia is actively working to develop the market through key policies such as the Financial Services Authority Regulation (POJK) No. 51/POJK.03/2017, which regulates the issuance and offering of sustainable bonds, thus enhancing the suitability of green bonds to finance environmentally friendly projects. The research method used in this study is a normative legal approach with a focus on laws and regulations (UU) and a library research method. Through this approach, the study analyzes relevant regulations and existing literature to explore the potential and challenges Indonesia faces in implementing green bonds, particularly in the infrastructure investment sector. The implementation of green bond investments in Indonesia, especially in the infrastructure sector, is a strategic step in line with efforts to achieve sustainable development. To achieve this, Indonesia must also consider integrating green bonds into broader development policies. This includes developing strategies that combine economic, social, and environmental aspects in the planning and implementation of infrastructure projects.

Illegal mining activities in Sebulu District have become a serious issue as they not only violate the law but also cause significant damage to public infrastructure such as village roads, bridges, and drainage systems, which are deteriorating due to heavy trucks transporting mining materials. Although Article 158 of Law Number 3 of 2020 concerning Mineral and Coal Mining stipulates strict sanctions, law enforcement remains weak. The main contributing factors are local community involvement, inadequate supervision by authorities, and social legitimacy that perceives mining as a normal activity. This study aims to analyze criminal liability for illegal mining offenders and to identify its social and environmental impacts in Sebulu District. The research applies a socio-legal approach that combines normative and empirical methods. The normative approach examines applicable legal provisions, while the empirical approach includes field observations, interviews with local officials and residents, and documentation of relevant regulations and events. The findings indicate that the most severe impacts are the deterioration of village roads and bridges and environmental degradation, such as changes in water color in nearby drainage channels. These conditions cause public concern and disrupt daily life. Weak law enforcement allows illegal mining to persist. Therefore, synergy among law enforcers, local government, and communities is needed to strengthen regulation enforcement and develop sustainable economic alternatives.

Fishermen are an essential group in supporting national food security; however, their lives are still characterized by various social and economic challenges, such as unstable income, low education levels, and high household expenditure burdens. This research aims to provide an overview of the socio-economic conditions and welfare of Bouke Ami fishermen in the Nusantara Fisheries Port (PPN) Muara Angke, North Jakarta, through the Fishermen’s Exchange Rate (NTN) and Fishermen’s Exchange Rate Index (iNTN). The study was conducted in May–June 2025 using a descriptive method with quantitative and qualitative approaches. Data collection techniques included observation, interviews, and questionnaires distributed to 100 Bouke Ami crew members (ABK). The results showed that the majority of crew members were aged 30–39 years, had completed only junior high school education, received health services through community health centers (puskesmas), had three family dependents, and most lived in their own homes. The average total monthly income of Rp5.733.500 is considered high as it exceeds the 2025 DKI Jakarta minimum wage (UMP) of Rp5.367.381. Meanwhile, the average total expenditure of Rp5.396.761 remains below income, indicating manageable household finances. The NTN value was 1,06 in April and 1,07 in May, resulting in an iNTN of 101%, indicating that Bouke Ami fishermen in PPN Muara Angke, North Jakarta, are at a level of economic welfare classified as prosperous with slight improvement. This increase reflects a modest rise in fishermen’s purchasing power between the two months and can serve as basis for formulating policies aimed at empowering coastal fishermen.

This study aims to determine the effect of training and work motivation on the performance of employees at the Jambi Province Public Works and Public Housing Agency. The background of this research is the decline in employee performance target achievements, which is influenced by budget constraints, limited training opportunities, and low work motivation due to a lack of recognition and organizational support. The research method used is a quantitative method with a descriptive approach and a case study, conducted on employees of the Public Works and Public Housing Agency of Jambi Province. The results show that training has a positive and significant effect on improving employee performance. Training not only serves as a means of instruction but also as a tool for developing employee skills and competencies. Conversely, work motivation has a negative and insignificant effect on employee performance, which is influenced by unmet needs for security, recognition, and encouragement to achieve goals. However, simultaneously, training and work motivation have a positive and significant effect on employee performance. This study concludes that effective training management and appropriate motivational strategies are crucial for improving the performance of employees at the Public Works and Public Housing Agency of Jambi Province.

This study aims to understand and analyze the diminishing partnership (musyarakah mutanaqisah) financing products in Islamic banking in Indonesia. This research is qualitative and uses a Systematic Literature Review approach by examining various journals from 2020 to 2024 on Google Scholar with the Publish or Perish software. The results indicate that the presence of the musyarakah mutanaqisah contract can be the best solution for property ownership for the community. The demand for housing is currently increasing. The implementation of Musyarakah Mutanaqisah can be a solution for the community in meeting their requirements; however, there are many aspects of the musyarakah mutanaqisah contract that must be understood to ensure that this product operates well in Indonesia. This contract also requires coordinated and comprehensive administrative support.

This study examines the Green Village Movement as a form of community empowerment in environmental conservation at Jl. Sosro Gg. Amban, Bandar Selamat Subdistrict. The increasing environmental degradation has encouraged local community-based initiatives to sustain environmental preservation. The Green Village Movement integrates active participation of residents in activities such as greening, waste management, and natural resource conservation through a bottom-up approach. This research employs a descriptive qualitative method with data collected through interviews, participatory observation, and document studies. The results indicate that the movement effectively empowers the community to actively maintain cleanliness and environmental beauty, while enhancing social solidarity. Despite challenges such as limited funding and awareness, the Green Village Movement positively impacts environmental quality and social life. This study concludes that the community empowerment model based on the Green Village Movement can be replicated as an effective sustainable rural development strategy.

This study aims to determine the effect of economic literacy and lifestyle on the consumptive behavior of 2021 cohort students in the Economics Education Department, Faculty of Economics and Business, State University of Gorontalo. This research is motivated by the increasing tendency of consumptive behavior among students, which is influenced by easy access to information and modern lifestyles. The type of research used is quantitative research with primary data sources obtained through questionnaires distributed to 35 respondents. The data analysis technique uses multiple linear regression with the help of statistical software. The results show that the variables of economic literacy and lifestyle simultaneously have a significant effect on students' consumptive behavior. The contribution of these two variables is 0.406 or 40.6%, while the remaining 59.4% is influenced by other factors outside this research model.These findings are expected to serve as a consideration for students to be wiser in managing their finances and forming a rational lifestyle, as well as to increase awareness of the importance of personal financial planning for a more stable and sustainable future well-being in today's modern social and economic environment.

Net profit is an important indicator in assessing a company's financial performance because it reflects the effectiveness of management in generating profits. Several factors that influence net profit include sales, cost of goods sold, operating expenses, and other income. This study aims to analyze the influence of these factors on net profit at PT. Pesona Minuman Indonesia during the 2021–2023 period. The independent variables include sales, cost of goods sold, operating expenses, and other income, while net profit serves as the dependent variable. A quantitative approach using multiple linear regression was applied to 36 quarterly data from the company. The results show that sales, cost of goods sold, and operating expenses have a positive and significant influence on net profit, while other income has a negative and significant influence. Simultaneously, all four variables have a significant influence on the company's net profit. This finding emphasizes the importance of good management of sales and operating costs as key factors in achieving optimal profitability. Therefore, the company needs to focus on increasing sales and controlling operating costs to maximize its net profit.

This study investigates the structural relationships among Product Quality (PQ), Brand Image (BI), Word of Mouth (WOM), and Repurchase Intention (RI) to empirically understand the sequential mechanisms driving consumer loyalty in a highly competitive market. Grounded conceptually in the Stimulus-Organism-Response (S-O-R) paradigm, the research posits that PQ acts as an external antecedent influencing RI through the mediating cognitive and behavioural constructs of BI and WOM. Data were collected from a sample of 187 Weber product consumers in Surabaya and analysed using Partial Least Squares Structural Equation Modelling (PLS-SEM). The empirical results confirm all hypothesized direct and indirect relationships. Specifically, PQ significantly and positively influences both BI (β=0.337, p<0.000) and WOM (β=0.351, p<0.000). Furthermore, both BI and WOM significantly predict RI, with WOM (β=0.498, p<0.000) demonstrating a markedly stronger effect compared to BI (β=0.414, p<0.000). The model successfully explains a moderate 57% of the variance in Repurchase Intention. These findings underscore the strategic imperative for management to prioritize superior product quality, which organically fosters a positive brand perception and stimulates potent word-of-mouth promotion identified as the most critical driver of repeated purchases. Future research is encouraged to integrate additional affective factors, such as customer satisfaction or perceived price fairness, to enhance the explanatory power of the consumer loyalty model.

This study examines the influence of financial factors on the capital structure of basic chemical manufacturing companies listed on the Indonesia Stock Exchange (IDX) from 2019 to 2023. The sample selection method used is purposive sampling, with specific criteria resulting in a sample of 51 companies and a total of 255 data points. After data processing, 80 outliers were identified, reducing the final sample to 175 company data points. This research adopts a quantitative approach, utilizing multiple linear regression analysis with SPSS version 25. The findings reveal that profitability, asset structure, company size, and business risk have a significant impact on capital structure. In contrast, sales growth and dividend policy do not show a significant contribution to capital structure. Based on these findings, it is recommended that companies in the basic chemical manufacturing sector focus on improving profitability, optimizing asset structure, and managing business risks effectively to strengthen their capital structure. Additionally, company size should be considered when making financing decisions. Since sales growth and dividend policy were not significant factors, firms might prioritize internal financial management and risk control over aggressive sales expansion or dividend adjustments when aiming to optimize their capital structure. Future research could explore other potential factors or use alternative methodologies to deepen understanding in this area.

This study analyzes the influence of Digital Marketing, E-Commerce, and Entrepreneurship Education on the entrepreneurial interest of vocational high school students in Malinau Regency and the moderating role of Entrepreneurship Education. The research method used a quantitative ex post facto approach with PLS-SEM analysis through SmartPLS 4.0 on 261 respondents in grade XII. The results show that Digital Marketing has a positive and significant effect on Entrepreneurial Interest, while E-Commerce has a positive but insignificant effect. Entrepreneurship Education has the strongest and most significant effect on Entrepreneurial Interest. Entrepreneurship Education negatively moderates the relationship of Digital Marketing, but positively and significantly strengthens the effect of E-Commerce on Entrepreneurial Interest. These findings emphasize the importance of practice-based entrepreneurship education and the integration of digital skills in enhancing students' entrepreneurial interest in the digital era.

Technological advancements in education have led to major transformations, particularly with the implementation of the Merdeka Curriculum, which emphasizes learning flexibility, student-centered approaches, and educator autonomy in developing innovative teaching methods. One of its essential aspects is the integration of technology for managing educational data, including student health records. At SMP IT Mutia Rahma, biannual student health monitoring has generated a growing volume of data, making it difficult to identify students experiencing psychological challenges. Adolescent mental health problems—such as learning stress, anxiety, and social pressure—can negatively affect academic performance if left unaddressed. This study aims to group students based on their mental health conditions to support more effective intervention strategies. The K-Means Algorithm, a data mining technique for clustering data by similarity, was employed to analyze student health data. The results show that in a three-cluster model, Cluster 2 represents students in a stable condition characterized by high resilience and low counseling needs, indicating good mental health and academic engagement. Meanwhile, Clusters 1 and 3 include students requiring further attention and support. This research demonstrates that the K-Means Algorithm can serve as an effective tool in identifying and categorizing student mental health conditions to improve school-based health management and early intervention programs.

The Merdeka Curriculum implemented in various schools in Indonesia aims to provide flexibility in learning, where students can learn according to their individual needs, interests, and pace. One of the challenges in implementing this curriculum is how to effectively identify classroom activity and student discipline. SD Islamiyah, as a school that implements the Merdeka Curriculum, also faces challenges in understanding variations in student classroom activity and discipline. Some students are able to learn in a disciplined manner with little guidance, while others require more intensive support from teachers. Therefore, a system is needed that can group student data more systematically so that teachers can develop teaching strategies that suit the needs of each group of students. One algorithm that can be used in data grouping is k-means clustering. The K-Means algorithm is a non-hierarchical algorithm derived from the data clustering method. The K-Means algorithm begins with the formation of cluster partitions at the beginning, then iteratively refines these cluster partitions until there are no significant changes in the cluster partitions. The K-Means method partitions data into groups so that data with similar characteristics are placed in the same group and data with different characteristics are grouped into other groups. This method can help group students more accurately based on their Class Activity and Discipline. From the results of the analysis, it was concluded that the student data group with Class Activity was Moderately Active Students, with Discipline being Disciplined, and an average score of 71-80.

Hirschsprung’s disease is a congenital disorder caused by abnormal nerve cell development in the large intestine, leading to chronic intestinal obstruction in infants. This condition often manifests through symptoms such as constipation, abdominal distension, vomiting, and failure to thrive. The weak immune system of infants makes them highly susceptible to bacterial infections and further complications. At Bidadari General Hospital, there were 110 patients suspected of having Hirschsprung’s disease. One of the major challenges in managing these cases is the limited number of medical specialists, particularly pediatricians and pediatric surgeons, resulting in long waiting times for accurate diagnosis, especially during peak service hours. To address this issue, this study applies the Dempster-Shafer method in an expert system to assist in diagnosing Hirschsprung’s disease based on clinical symptoms. The method effectively handles uncertainty and combines multiple pieces of medical evidence to produce more accurate diagnostic probabilities. The analysis results show that from the selected symptoms, the highest diagnosis probability corresponds to short-segment Hirschsprung’s disease with a confidence level of 71.54%. These findings suggest that the Dempster-Shafer method can serve as an effective alternative tool to support early and accurate diagnosis of Hirschsprung’s disease in infants.