Publication Search

The purpose of this study is to determine the strategy of the Youth Organization of 1000 Teachers in Samarinda City in recruiting volunteers so that prospective volunteers who join have an interest in participating directly in helping with educational problems in remote areas and the obstacles faced by the Youth Organization of 1000 Teachers in conducting the recruitment. Youth with its social control function that has an active role in fighting for various values ​​of life that exist in society, the Youth Organization of 1000 Teachers in Samarinda City as an agent of change plays an active role in implementing education, especially for remote, underdeveloped, and border areas in East Kalimantan Province which still need special attention. This study is descriptive qualitative with a focus on describing and describing the strategy of the Youth Organization of 1000 Teachers in Samarinda City in recruiting volunteers so that prospective volunteers have an interest in participating directly in helping with social problems in the field of education, especially in remote areas and the obstacles faced. The data analysis used is the interactive model data analysis proposed by Miles, Huberman, and Saldana, where this data analysis consists of data collection, data condensation, data presentation and drawing conclusions. This study uses secondary data collection techniques by conducting library research and other secondary data sources and conducting direct research in the field to obtain primary data through in-depth interviews. From the results of the study, it shows that the Strategy of the 1000 Teacher Youth Organization in Increasing Volunteer Interest in East Kalimantan Province has been running well so far. This is because the members of the organization in it, both the Chairperson, Secretary, Treasurer and donations, Creative and event Team, Survey and Logistics Team, and the members of the 1000 Teacher Youth Organization management in Samarinda City are able to adapt and be creative in recruiting prospective volunteers.

 Ships with efficient port time reflect success in various aspects such as port operations, including time management, coordination between related parties, readiness of facilities and equipment, and workforce reliability. These efficiencies not only benefit port operators and shipping companies, but also contribute to smooth logistics supply chains, lower costs and increase economic competitiveness. Researchers determine 2 (two) types of data, namely secondary data and primary data, which will be processed through interviews and literature. By knowing each of the port time components above, we can understand the key to increasing operational efficiency, reducing costs, and ensuring smooth port and ship operations. Process optimization at each stage of port time implemented can help ports and shipping companies achieve competitive advantage and increase customer satisfaction   Keywords: , , , 

The implementation of this community service involves one MSME, namely 'Mask and Furniture Wholesale Shop'. Located in Jayamukti Village, Central Cikarang District, Bekasi Regency or about 4.0 km from Pelita Bangsa University. MSMEs wholesale masks and furniture play a strategic role in meeting community needs, especially during the pandemic and changes in people's lifestyles that lead to online shopping. This service aims to examine the effect of training and e-commerce utilization in improving the competitiveness and operational efficiency of wholesale stores in this sector. Through training that focuses on the use of e-commerce platforms and internet-based marketing strategies, it is hoped that this training can evaluate the impact of digital transformation on the business growth of mask and furniture wholesale stores. The method used is a qualitative method, namely through a case study approach and in-depth interviews with MSME players, with the aim of analyzing the effectiveness of training that focuses on the use of ecommerce platforms and online marketing strategies. The results of the service showed that ecommerce training improved the ability of MSMEs to access a wider market, optimize business management, and increase sales. In addition, MSME players also face challenges such as technology adaptation and logistics management. This study provides recommendations on the importance of continuous training, technological infrastructure support, and collaboration between the government and e-commerce platforms to maximize the potential of wholesale MSMEs in the digital era..  .

Technological innovations in autonomous vessels developed by Japan, such as the MEGURI2040 project, have opened up great opportunities in improving maritime efficiency and strengthening economic ties with ASEAN countries. These technologies offer operational advantages through cost reduction, route optimization, and enhanced maritime safety, which can promote economic integration in the region. However, the adoption of autonomous ships also presents challenges, including the need for regulatory harmonization, port infrastructure improvement, and cybersecurity risk management. This study analyzes the impact of autonomous ship innovation on the logistics sector, workforce, maritime safety, and the potential for technological cooperation between Japan and ASEAN. The results show that the adoption of this technology can strengthen regional cooperation, but requires technical readiness, mature regulations, and multilateral collaboration to overcome emerging challenges. Therefore, the integration of autonomous ship technology in ASEAN requires not only a strategic approach, but also a shared commitment to create stability and sustainable economic growth in the region.

This research employs the Six Sigma method using the DMAIC cycle (Define, Measure, Analyze, Improve, Control) to enhance the quality of Shopee’s services. Among the variables examined, significant results were found in the areas of delivery accuracy and application reliability. Based on the survey conducted, customer dissatisfaction reached 20% in delivery and 25% in application reliability. Through analysis, the root causes were identified and addressed by optimizing logistics and application stability. This research demonstrates that Six Sigma is effective in improving customer satisfaction and the quality of Shopee’s services.  

This study aims to evaluate the risk management implemented at PT Pos Indonesia's using a qualitative approach based on literature review. Risk management is crucial for ensuring the continuity of operations, especially in the logistics sector, which faces numerous challenges. This study reviews literature on risk management in the logistics industry and evaluates its application at PT Pos Indonesia. The findings reveal that although several risk management strategies have been implemented, certain areas require improvement, particularly in operational risk mitigation and the use of technology. Recommendations include strengthening technological infrastructure and enhancing employee training on risk management awareness.

This study aims to conduct an empirical test on the effect of financial ratio there are liquidity, solvency, and activity ratios on the profit growth of transportation and logistics sector companies listed on the IDX in 2019-2023. The data collection method uses purposive sampling, namely based on certain criteria so that 21 companies and 105 data are obtained. Data testing uses structural model analysis techniques Sstructural Equation Modeling) with an analysis tool, namely SMART PLS version 3 in data processing. The results of this study indicate that the liquidity, solvency, and activity ratios do not affect the profit growth of transportation and logistics sector companies.

The Utilization of GPS and GSM technology in operational vehicle monitoring offers convenience and efficiency in management. This research designs a GPS-based vehicle monitoring system that is integrated with vehicle maintenance management to assist companies in making decisions related to fuel efficiency, predictive maintenance scheduling, and safety aspects. By monitoring vehicle position and condition in real-time, companies can optimize travel routes, reduce travel time and reduce operational costs. The system also includes tire pressure and fuel percentage monitoring, which serve as important indicators in an accurate and sustainable vehicle maintenance strategy. This research uses quantitative methods to analyze various aspects in designing a GPS-based monitoring system that is integrated with operational vehicle maintenance management. With the resulting data, managers are able to identify trends that support predictive maintenance as well as preventive steps to reduce the risk of sudden damage. The research results show that the integration of GPS and GSM provides significant benefits in improving performance and reliability for vehicles, especially in the distribution and logistics sectors. The implementation of this system is expected to support the company in maintaining optimal vehicle performance and contribute to operational sustainability.

The function of artificial intelligence (AI) in creating a positive consumer experience on the Shopee e-commerce platform is covered in this study. Nowadays, artificial intelligence (AI) plays a significant role in the e-commerce sector, allowing businesses to offer more individualized, quick, and safe services. This study examines how Shopee customer satisfaction and loyalty are impacted by the use of AI technologies, including chatbots, tailored product suggestions, fraud detection, and inventory management. This study found that AI plays a significant role in making shopping more responsive and convenient by analyzing data on the use of chatbot services, the efficacy of personalized recommendations, the accuracy of predicting customer needs, transaction security, and the efficiency of logistics management. According to the study's findings, implementing AI technology reduced service response times by up to 20% and increased customer satisfaction by 15%. In addition to enhancing service quality, the use of AI increases Shopee customer loyalty. These results demonstrate how AI in e-commerce holds enormous promise for fostering startup expansion and enhancing client connections.

This study examines the effectiveness of enhancing teacher training and development programs for maritime instructors by focusing on improving both pedagogical skills and industry knowledge. The research explores applied management strategies in the fields of port, shipping, and logistics, aligning them with industry-specific educational needs. Qualitative perspectives from 5 maritime professionals, 5 lecturers, and 5 graduates working in maritime sectors were analyzed through descriptive analysis. The study aims to understand how maritime instructors can effectively integrate technical, promotional, marketing, and innovative skills into their teaching practices to better prepare students for the maritime industry. The data collection was conducted through structured interviews, observations, and focus group discussions. Findings indicate that improving teacher training not only enhances instructor competencies but also bridges the gap between maritime education and industry requirements. Key indicators include the effectiveness and efficiency of the training programs, with a performance score of 9/10 based on qualitative assessment. The paper discusses the implications for maritime vocational education, emphasizing the need for continuous improvement in instructor development. The study concludes with recommendations for further enhancing maritime teacher training programs by incorporating modern management practices and technological advancements to ensure that maritime education stays relevant to industry demands.

This study investigates how applied management studies can foster entrepreneurship and innovation in maritime institutes, particularly in port, shipping, and logistics. By focusing on the qualitative experiences of five maritime professionals, five lecturers, and five graduates, this research explores how technical, promotional, marketing, and innovation strategies impact entrepreneurial development within the maritime industry. A qualitative research approach, supported by descriptive analysis, was employed to assess the effectiveness of applied management studies in promoting entrepreneurship among students. Results demonstrate a high level of efficiency and effectiveness, scoring 9/10 across various indicators. These findings offer insights into how maritime institutes can align their curriculum with industry needs, encouraging innovative and entrepreneurial thinking in future maritime professionals.

The maritime industry is rapidly evolving due to technological advancements and increased emphasis on sustainability. This research aims to develop a specialized maritime management curriculum that aligns with the needs of the port, shipping, and logistics sectors while incorporating emerging technologies and sustainability practices. Through qualitative research involving 5 maritime professionals, 5 lecturers, and 5 graduates, this study investigates the current gaps in maritime education and the essential competencies needed in modern maritime professions. Using descriptive analysis, the research provides insights into the integration of applied management studies, technical skills, and innovation into the curriculum. The study identifies key areas where existing curricula fall short, including the underrepresentation of technological and sustainability competencies. By examining the experiences of industry professionals and educational experts, a new curriculum framework is proposed, aiming to enhance graduate readiness for modern challenges. The curriculum effectiveness is evaluated using key performance indicators (KPIs), with a 9/10 score on alignment with industry needs. Comprehensive tables illustrate the scoring across various curriculum components, including technology integration, sustainability, and managerial skills. The findings suggest that the proposed curriculum model can significantly improve the employability of graduates, ensuring that they are equipped to meet the dynamic requirements of the maritime industry. Continuous curriculum development, with feedback from industry stakeholders, is recommended to maintain alignment with evolving industry needs.

This research explores the impact of using the application on Micro, Small, and Medium Enterprises (MSMEs) in the city of Semarang in the context of digitalization and the implementation of Artificial Intelligence. (AI). Research data were obtained from a survey of 100 MSME actors and in-depth interviews. The analysis method used is qualitative descriptive. The research results indicate that the application can potentially enhance MSMEs' operational and marketing efficiency through a digital system. However, it still faces the challenge of low digital literacy among MSME actors. The discussion shows that this innovation can improve the competitiveness of business actors in the digital era, especially in understanding consumer behavior and logistics management. The research conclusion emphasizes that implementing the application can be a solution to increase MSME income, help them adapt to market changes, and effectively utilize digital technology.

The purpose of this activity is as an effort to improve the volleyball skills of students and teachers throughout Kuantan Tengah District, the time and place of implementation is Wednesday, August 14 2024, 08.00-12.00 WIB and located at the volleyball hall of SDN 020 Pulau Godang Kari as the host. House. Event Management is the process of planning, organizing and implementing events with the aim of creating a memorable experience for event participants. Many things are regulated in event management, such as determining location, budget, marketing, logistics, security and other operational activities. In the context of this tournament event, event management is very important to ensure that all elements of the event run smoothly and according to participants' expectations. Therefore, we as members of the Pulau Godang Kari Village KKN together with the Teachers of SDN 020 Pulau Godang Kari collaborated in making this event a success.  

Sinar Inti Telaga was founded in 1986, then transformed into PT Serasi Autoraya in 1990 by introducing the trademark "Toyota A Car". PT. Serasi Autoraya (TRAC) is an international subsidiary. Tbk which is now widely known as one of the largest transportation and logistics service companies in Indonesia. The aim of this research is to determine the effect of compensation and work discipline on the performance of PT. Serasi Autoraya (TRAC) in this research uses independent variables, namely compensation (X1) and work discipline (X2) as well as the dependent variable, namely employee performance (Y). The population of this study were employees of PT. Serasi Autoraya (TRAC). The sample used the Puprosive Sampling method, data collection by collecting questionnaires online with Google from to 50 respondents. The method in this research uses quantitative statistical methods. Quantitative statistical analysis includes validity tests, reliability tests, multiple linear analysis. Other hypothesis testing includes classical assumption tests, including data normality test, multicollinearity test, heteroscedasticity test, T test, F test, and coefficient of determination test (R2). The data was processed using the SPSS (Statistical Package for Social Science) 25.0 photo windows program. The test results of the T (Partial) test on the compensation variable (X1) show that the sig 0.004 < 0.05 and t value 3,028 > 2,010 (t table) test results on the T (Partial) test on the work discipline variable, namely 0.000 < 0.05 and t value 6,081 > 2,010 (t table). The test results of the F test (Simultaneous) show that the sig value is 0.000 < 0.05 and the calculated f value is 49,966 > 3.19 (f table) and it can be concluded that compensation (X1) and work discipline (X2) have a positive and significant effect on performance employee (Y).

Research was conducted to analyze the effect of work environment, work stress, workload on turnover intention through organizational commitment. Sampling based on purposive sampling technique as many as 120 respondents with the criteria of project logistics division employees at PT Pos Logistics. The results concluded that the work environment has a negative and significant effect on turnover intention; work stress and workload have a positive and significant effect on turnover intention. The effect of organizational commitment as an intervening variable shows that the work environment has a negative and significant effect on turnover intention; work stress price and workload have a positive and significant effect on turnover intention.

Diabetes is one of the non-communicable diseases that is considered dangerous due to its susceptibility to complications. This disease is caused by high blood sugar levels in a person's body, which makes the blood more alkaline and slows down the metabolic process. In this study, we observed 8 variables that are considered influential in diabetes and will build a regression model that can predict the response variable (y) through Logistic Regression Analysis. Logistic Regression Analysis is a statistical analysis method used to describe the relationship between a dependent variable with two or more categories and one or more independent variables that are categorical or continuous. Based on the results, the logistic regression model for factors influencing diabetes in the Indian Pima tribe includes variables such as number of pregnancies, glucose level, blood pressure, body mass index, and diabetes pedigree function

Good logistics management of medicines is one of the factors so that medicines can be managed well. The pharmacy unit of the Kolaka District Health Service has problems with inadequate storage or storage of medicines and delays in the arrival of medicines. The aim of this research is to determine the Analysis of Drug Logistics Management at the Kolaka District Health Service. The research uses qualitative methods through in-depth interviews, observations and observation guides. The results of the research show that at the drug planning stage using the consumption method, drug procurement using an e-catalog system, drug storage is still not good because the warehouse is not large enough for drug storage. Suggestions for the Kolaka District Health Service.

Elections serve as a crucial pillar of democracy, allowing citizens to participate in the selection of leaders and shaping national policies. In Indonesia, the General Election Commission (KPU) is responsible for organizing elections, ensuring that the process is transparent, fair, and accountable. Understanding public perceptions of the KPU's performance is vital for evaluating the success and legitimacy of the democratic process, particularly in regions like Benowo District, Surabaya, which reflects the broader dynamics of local democracy. This study employs a qualitative methodology to explore and interpret the views and experiences of the public regarding the KPU's performance in the 2024 Election. Data were gathered through in-depth interviews with community leaders and direct observation of the election process. The qualitative approach allows for a comprehensive analysis of the complex and nuanced perceptions held by the community. The findings reveal that the public in Benowo District generally holds a positive perception of the KPU's performance, appreciating the orderliness, transparency, and efficiency of the electoral process. However, challenges such as logistics management were identified, indicating areas where the KPU can improve in future elections. These insights are crucial for enhancing the quality of electoral administration and strengthening the democratic process in Indonesia.

This research aims to apply the K-Means Clustering method in grouping consumer interests regarding the use of services at the Binjai Post Office. The Post Office is part of a state-owned enterprise in North Sumatra Province with the main task of providing postal and logistics services. Postal services remain one of the most important means of communication, especially for sending packages, letters, and documents. However, with various services and diverse consumer needs, post offices can provide more effective and relevant services. The K-Means Clustering method is a classification technique based on machine learning algorithms used to identify patterns present in consumer interest data. The data used in this research includes various related variables, namely the type of delivery, total cost, and delivery time. The results of the clustering process conducted using 3 clusters indicate that there is a grouping of consumer data based on preferences for using delivery services. In group 1, there are (21 data points) with a centroid at coordinates (C1) 2; 4.3810; 3.5238. In group 2, there are (124 data points) with a centroid at coordinates (C2) 3; 2.0565; 3.1452. In group 3, there are (387 data points) with a centroid at coordinates (C3) 3.6925; 1.1370; 1.7209. This research shows that the application of K-Means Clustering can enhance the understanding of consumer interests and assist in the development of more targeted strategies to optimally meet needs.