Publication Search

Every company always wants to achieve its goals while maintaining its existence in society. A company needs humans as implementers to achieve its expectations. Behind the success of a company, it is actually inseparable from the role of leaders who contribute to it. In addition to the role of leaders, employees will be able to carry out their activities well, if supported by good working environment conditions. This study aims to determine and explain the influence of leadership style and work environment on employee performance at PT Apparel One Indonesia 1 Semarang. The object of this study is employees of PT Apparel One Indonesia 1, especially the production department with a total population of 1950 employees and a sample of 95. The data collection technique in this study uses random sampling, where everyone in the target population has an equal opportunity to be selected. The data analysis technique in this study uses multiple linear regression, t-test, f-test, and coefficient of determination test. The research data processing used SPSS version 25. The results of the study can be concluded that: 1. Leadership style has a positive and significant effect on employee performance at PT Apparel One Indonesia 1 Semarang, 2. The work environment has a positive and significant effect on employee performance at PT Apparel One Indonesia 1 Semarang, 3. Leadership style and work environment together have a positive and significant effect on employee performance at PT Apparel One Indonesia 1 Semarang.

This research is a needs assessment evaluation which aims to determine the effectiveness of the information technology-based learning program, namely online or online learning to emphasize the difference between the desired or should be or expected conditions (what is) or real / real conditions. in the Covid-19 era with truth and validity data, facts, or information. The research was conducted using mixed methods research or a combination of qualitative and quantitative research in one study with evaluation of "needs assessment", data analysis with descriptive statistics. Collecting data using observation instruments, documentation and questionnaires, distributing questionnaires by means of random or random techniques, data processing refers to the Likert scale with the SPSS program computer The research results from the data on the achievement of class based learning process performance and information technology in 2020 15.78%, while from the research results; the highest score was 88, the lowest score was 50, the mean 66.47, the standard deviation was 11,780, the score scale ranges from 50 to 88, meaning that The effectiveness of online informatics technology-based learning methods in the Covid-19 era can be categorized as unsuccessful according to predetermined learning outcomes    

This research is a needs assessment evaluation which aims to determine the effectiveness of the information technology-based learning program, namely online or online learning to emphasize the difference between the desired or should be or expected conditions (what is) or real / real conditions. in the Covid-19 era with truth and validity data, facts, or information. The research was conducted using mixed methods research or a combination of qualitative and quantitative research in one study with evaluation of "needs assessment", data analysis with descriptive statistics. Collecting data using observation instruments, documentation and questionnaires, distributing questionnaires by means of random or random techniques, data processing refers to the Likert scale with the SPSS program computer The research results from the data on the achievement of class based learning process performance and information technology in 2020 15.78%, while from the research results; the highest score was 88, the lowest score was 50, the mean 66.47, the standard deviation was 11,780, the score scale ranges from 50 to 88, meaning that The effectiveness of online informatics technology-based learning methods in the Covid-19 era can be categorized as unsuccessful according to predetermined learning outcomes    

PLN is a monopoly trading company that sells electrical energy sources and manages all aspects of electricity in Indonesia, especially the Ponorogo area. In Ponorogo there is a company under the auspices of the Indonesian Electrical and Mechanical Contractors Association (AKLI) with the company name PT. Heroine of Eternal Blessing. In carrying out its work PT. Srikandi Berkah Abadi did not run smoothly, but there were many obstacles that disrupted the work process, one of which was the data input process. In this research we used a descriptive qualitative method where we carried out observations and direct interviews while conducting KKL within a period of 1 month. Based on the results of research that has been carried out previously, conclusions can be drawn, including: We carry out data processing activities on the implementation of connection work in people's homes, process data input on network maintenance and changes, and input employee hard disk data. While we were carrying out the KKL for 1 month, the problems we experienced were the ones we mentioned above, when inputting data in Microsoft Excel, it often had errors, crashes, and exited so that the data we were working on was lost and not saved.

This research aims to evaluate the impact of Information Technology (IT) on Modern Accounting Systems. The research background reflects a shift in the traditional accounting paradigm towards the increasingly rampant application of information technology. The research method used is literature analysis and case studies. Research findings reveal that IT implementation in modern accounting systems not only increases the efficiency and accuracy of data processing, but also makes a significant contribution to strategic decision making and risk management. The implications of this research include the need to develop IT competencies for accounting professionals, as well as the importance of information security policies in managing financial data. Thus, this research provides insight into the crucial role of IT in the transformation of modern accounting systems and highlights important aspects that need to be considered in facing technological developments in the accounting field.    

This research uses the Support Vector Machine (SVM) algorithm to predict Persebaya Surabaya's ranking in BRI Liga 1. The data used includes goals scored, goals given away, total end-of-season points, and status as champions. The results of the analysis using Orange software show that Persebaya Surabaya does not necessarily become a champion if it has a point value of 42 and an SVM value of 41. To become a champion, Persebaya Surabaya must score 69 points or more in a season and achieve an average of more than 54 goals per season. The suggestion of this research is to have more data so that the results of data processing using Orange software are more optimal and accuracy is more precise.

The inventory problem that still occurs at PT Indonesia Plafon Semesta is the accumulation of resin and calcium raw materials which results in considerable losses. PT Indofon began to experience a buildup of resin raw materials in August amounting to 16,100Kg and for calcium amounting to 15,200Kg so that each month it soared until its peak in October, namely a buildup of 23,500Kg of resin, and 23,200Kg of calcium. The use of the right method for inventory control problems is Just In Time , which is a management strategy used to optimize the production process and product delivery by buying and producing only when needed and at the right time. Silver Meal Heuristic, a heuristic approach used in inventory control to determine the optimal lot size. The quantity of raw material orders using JIT is relatively more than the silver meal, but with JIT the supplier only needs to send 4-5 times, meaning that the company can save costs. The quantity and frequency obtained from data processing using silver meal is more optimal. However, the cost of raw material inventory incurred is quite large. For a decrease in efficiency costs by implementing a policy of making purchases with Just In Time  (JIT) and is expected to save on raw material inventory costs. So that these cost savings can be allocated by the company to other costs.

This research discusses fixed asset accounting at PT Tanjung Migas (SPBU 14.203.159). The purpose of this research is to determine the compliance of fixed asset accounting applied by PT Tanjung Migas (SPBU 14.203.159) in Deli Serdang Regency with the Financial Accounting Standards for Entities without Public Accountability No. 15 of 2009. The data used in this research are primary data and secondary data. The data collection techniques used are interviews and documentation, and the data processing technique in this research is descriptive analysis method. The results of this research indicate that the implementation of fixed asset accounting at PT Tanjung Migas (SPBU 14.203.159) in Deli Serdang Regency is in accordance with the Financial Accounting Standards for Entities without Public Accountability No. 15 of 2009.

This research aims to analyze the institutional system of coconut agro-industry businesses in Konawe Islands Regency, Southeast Sulawesi Province. The scope of this research is the institutional processing business, namely institutional form, raw material requirements, institutional structure, capital, decision making, data collection techniques through interviews, FGD and expert questionnaires (ISM). Based on the research results, it shows that: The key elements of the palaku coconut processing business development system in Konawe Islands Regency are coconut farmers and consumers of processed coconut products. The key elements needed by players in the coconut processing business development system are easy access and guaranteed marketing of processed products, the need for rehabilitation, intensification and extensification of coconut plants. Sustainability of institutional development of coconut processing businesses requires assistance from universities (PTN-PTS) whose role is to connect between parties which have been an obstacle for farmers and coconut processors.

Not all products are well received in all countries. Thus, it is important for foreign companies to make various adjustments to the products offered. Companies must ensure that their products are well received by society and do not conflict with society's culture. If companies fail to adapt their products, there is a possibility that the company will not survive in the long term. In this article the author will explain the influence of product policy in international trade law, the importance of product policy factors that influence international business, and how product policy strategies influence the implementation of international business. The research method used is collecting and processing data from various sources, including online journals that are relevant to the topic of discussion.

By using literature studies/literature research, this article discusses how programming algorithms can be applied to the Internet of Things (IoT). The purpose of this article is to explain the function of algorithms in Internet of Things (IoT) programming and several examples. IoT is a concept where various devices and objects can connect and communicate with each other via the internet network. After data is collected through text study, content analysis techniques are used to analyze it. Literature studies show that programming algorithms must be applied to the Internet of Things to ensure efficient collection, analysis and use of data from connected objects. Programming algorithms are widely used for data prediction and analysis, network management, data collection and processing, security, and optimization of communication between IoT objects. Internet of Things developers and researchers should pay attention to the importance of implementing appropriate programming algorithms in their systems because these algorithms enable IoT to optimize the use of resources such as bandwidth, memory, and energy. Efficient algorithms enable smarter data analysis and better data security.

By using literature studies/literature research, this article discusses how programming algorithms can be applied to the Internet of Things (IoT). The purpose of this article is to explain the function of algorithms in Internet of Things (IoT) programming and several examples. IoT is a concept where various devices and objects can connect and communicate with each other via the internet network. After data is collected through text study, content analysis techniques are used to analyze it. Literature studies show that programming algorithms must be applied to the Internet of Things to ensure efficient collection, analysis and use of data from connected objects. Programming algorithms are widely used for data prediction and analysis, network management, data collection and processing, security, and optimization of communication between IoT objects. Internet of Things developers and researchers should pay attention to the importance of implementing appropriate programming algorithms in their systems because these algorithms enable IoT to optimize the use of resources such as bandwidth, memory, and energy. Efficient algorithms enable smarter data analysis and better data security.

Fantasy clothing is clothing that is designed as creatively as possible without leaving the characteristics of the source of the idea. One of the techniques used to make fantasy party dresses is the textile stitch and slash technique. The stitch and slash technique is a textile processing technique by changing the texture of the cloth to get a different impression so as to add aesthetic value. The purpose of applying the stitch and slash technique to fantasy clothing is so that the clothing has aesthetic value and high selling value. The method used is a qualitative method using data collection such as observation, literature and documentation as well as data analysis. The process of making fantasy party dresses with the manipulation textile stitch and slash technique starts from making designs, analyzing designs, preparing tools and materials, sizes, basic patterns, breaking patterns, cutting materials, merging, sewing, and the finished product. Making fantasy party dresses with manipulation textile stitch and slash using satin and chiffon fabrics. Making clothes using the stitch and slash technique needs to pay attention to the layers that are stacked to produce fiber thickness, using a brush that has stiff bristles can help remove the fibers so as to produce a good stitch and slash texture and to make it easier to sew stitch and slash on clothing, pins are needed. so that the layer stack does not shift.

This research aims to investigate two aspects: (1) the methodology used to record the coal extraction process at PT Austindo Nusantara Jaya Agri Binanga, and (2) the effectiveness and efficiency of the current coal extraction system at PT Austindo Nusantara Jaya Agri Binanga. The research methodology used in this study falls into the domain of cross-sectional and qualitative investigations. The data collection process includes surveys and observations as the main methodology. After starting the verification process, the data entered undergoes analysis through techniques such as data cleaning, data processing, and interpretation of results.The research results show that the application of the Docflow method and fish bone diagrams in fish feeding at PT. Austindo Nusantara Jaya Agri Binanga, along with the use of feeding control procedures such as min-mix (s,S), System (s,Q), System (R,s,S), and System(R,S), is very effective and useful in feeding fish. During the land development phase, per meter counts are carried out to ensure that stocks are monitored and maintained in abundant quantities.

This article examines the role of the agricultural sector in efforts to reduce poverty and enhance welfare in developing countries. The primary objective of this research is to analyze the extent to which the agricultural sector can contribute to the improvement of social and economic conditions in these nations. The research method involves the analysis of secondary data from various sources, including agricultural production data, food consumption patterns, and socio-economic and policy factors that influence the agricultural sector. The results of the study indicate that the agricultural sector plays a significant role in reducing poverty and enhancing welfare in developing countries. Firstly, the agricultural sector provides employment opportunities for a significant portion of the rural population, often the most vulnerable to poverty. Consequently, the agricultural sector contributes to increased income and access to economic resources for rural communities. Secondly, the agricultural sector also plays a crucial role in providing sufficient and affordable food for the population in developing countries. This positively impacts nutrition and public health, subsequently affecting the quality of life and overall welfare. By improving productivity and access to food resources, the agricultural sector can help reduce hunger and malnutrition. Thirdly, the agricultural sector has the potential to support national economic growth by supplying raw materials to the food processing and textile industries. This creates additional economic opportunities and enhances the competitiveness of developing countries in the global market.

Genetic algorithms are computer techniques inspired by the theory of evolution and genetics. Individual definition, chromosome initialization, chromosome testing, selection (crossover) and mutation are fundamental elements of genetic algorithms. Genetic algorithms are used to solve optimization problems, such as lesson planning, community services and traffic light adjustment. By producing the best combination of chromosomes, the genetic algorithm can achieve ideal results. The genetic algorithm produces appropriate planning data to avoid delays. This research uses the methods of data collection, individual definition and chromosome initialization. The result of this research is a service application designed to be able to plan efficiently through development using a genetic algorithm. Optimal planning occurs when processing planning data produces solutions that are efficient in terms of time, energy, and resources, and avoids conflicting schedules in the same place..

This research aims to demonstrate the influence of the effectiveness of image preprocessing-based artificial intelligence technology in detecting the ripeness level of tomatoes on user satisfaction and to discover correlations between them. The applied research method is quantitative, with data collected through the distribution of questionnaires to attendees of the IT Festival 2023 Expo held on Sunday, August 27, 2023, at the Baranangsiang Campus, IPB. The data analysis methods used include Pearson correlation test, simple linear regression, coefficient of determination test, and T-test using SPSS 25.0 software. The test results indicate that the effectiveness of image preprocessing-based artificial intelligence technology has a positive and significant impact on detecting the ripeness level of tomatoes

The aim of this research is to analyze the processing of user satisfaction data on the IoT-based feed pellet machine monitoring system using the Blynk application among visitors of the IT Fest at the School of Vocational IPB University, majoring in Software Engineering Technology (TPL), Computer Engineering Technology, and Industrial Management from batches 57, 59, and 60. The research method employed in this study is quantitative research using descriptive statistics. The sampling technique utilized is a survey method, and the instrument for data collection is a questionnaire. Subsequently, the analysis of all data is conducted by performing testing stages using measures of central tendency, including mean, median, and mode. Using the Likert scale, conclusions can be drawn from the respondents' answers.

This research aims to determine the financial position analysis of the KSM Sehat Sejahtera Cooperative for the period 2021 – 2022 using Income Trend analysis. The type of data used in this research is quantitative data. The data sources according to the data obtained are primary data and secondary data as well as the documentation method with the data analysis technique used is quantitative descriptive analysis, namely a data processing method that uses mathematical calculations, which in this case uses a method namely: Income Trend. The analysis was carried out regarding Trend analysis for 1 year. From the results of the analysis for 1 year, it shows that assets and liabilities in the following year after 2021 will increase similar to what will be obtained by members who will increase.

This study aims to find out what impact the Kertopati village community felt as a result of a decrease in the price of rubber sap and how the Kertopati village community's efforts to improve welfare resulted from a decrease in rubber latex prices, this research is of a qualitative type. The object of this research is the entire community of Kertopati village who work as rubber farmers. The data sources used are primary data and secondary data. Data were obtained directly from 12 respondents using data analysis methods, namely observation, interviews and personal documentation, then the data was processed using data processing techniques. The results of the study show that: The impact they feel is the lack of fulfillment of their daily needs, they must try to find efforts to meet these needs, try to continue to complement clothing and food, and be able to meet social economic needs. The Kertopati village community must be able to survive, for the head of the household must be able to stand up to keep the family alive. The efforts they make, namely by carrying out new professions such as being construction workers, selling and even working with other people (ART), this proves that the efforts they are making are to continue to make ends meet and improve welfare.