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Energy efficiency has become a cornerstone in industrial optimization, reducing operational costs and contributing to sustainability. This paper reviews key innovative approaches in mechanical systems used to enhance energy efficiency within industrial applications. It covers advances in system design, smart technologies, automation, and predictive maintenance. By understanding these techniques, industries can make strides toward greener production processes, lower energy costs, and reduced environmental impact.

The research objective is to analyze the effect of business location selection. The type of research used in this research is a type of library research, namely research conducted using literature, both in the form of books, notes, and reports on previous research results using references, where the data sources are taken from google scholar. The approach used in this research is a qualitative approach with domain data analysis, namely the researcher's efforts to obtain an overview of the data to answer the research focus. Business location on the trader's income variable includes a negative correlation and insignificant relationship. This shows that a strategically chosen location is unlikely to generate more income. Factors to consider in choosing a location, although there are several influential factors, are the proximity to the market (consumers). This location can be seen: 1) The business environment, namely regarding the proximity of the business location to other businesses / competitors, proximity to consumers, proximity to suppliers, and proximity to providers of production equipment / equipment. 2) Location costs, namely regarding building rental prices, whether or not there are renovation costs, interest rates, labor costs, and the amount of taxes. Based on the results of the study, several conclusions can be drawn, namely that business location has a significant influence on business location.

Quality control review of concrete at PT. Merak Jaya Beton is important to ensure that the work carried out meets quality standards and is implemented according to existing procedures. PT. Merak Jaya Beton is one of the companies in Indonesia that produces precast concrete. At PT. Merak Jaya Beton, quality is highly regarded from trials before being taken to projects (trial mix and F’c)to construction projects (Slump tests), checking the proportions of mixtures and uniformity of basic materials at the batching plant, to hammer test checks. The process of selecting the right concrete materials can determine the amount or quantity of dependency on materials considering the quality requirements of the concrete used. Several specifications of ready-mix concrete are produced to meet the specifications demands from clients. Meanwhile, for material quantity planning based on the production volume to be implemented, it includes material needs, ordering cycles, and the amount of orders. In concrete mixtures, there are materials added during the Mixing process (admixtures), this is aimed to alter the properties of concrete to make it more suitable and cost-effective.

This research aims to determine the use of credit by micro business actors in Atambua City who use loan funds from BNI46 Bank, as well as to find out the reasons why business actors take credit from BNI46 Bank. The data used in this research is primary and secondary data, which is then analyzed using qualitative descriptive methods. The data collection techniques used in this research are: interviews, observations and documents. The object of this research is the use of credit by micro and small businesses in Atambua City, located around the center of Atambua city. These utilization interests are divided into two interests, namely for production and consumption purposes. First, for the purposes of fulfilling and expanding business capital for trading, a means to make business activities smoother and business performance better than before, expanding business and work opportunities. Second, for consumption needs, which includes personal consumption needs such as paying children's school fees, house rental costs, as well as house maintenance costs and daily living costs.      

Climate change has become a crucial issue affecting the agricultural sector worldwide, including in Pakel, Tulungagung. In this context, this research aims to investigate the consequences of climate change on local agriculture in Pakel, Tulungagung, particularly in relation to the prices of food in the market. Through in-depth analysis of relevant literature and data, this study identifies the impacts of climate change such as extreme weather fluctuations, increased uncertainty of harvest yields, and rising production costs. All these factors contribute to the rise in food prices in the local market. The findings of this research provide important insights for stakeholders, including the government, farmers, and consumers, to develop effective adaptation strategies and sustainable policies in addressing the challenges of climate change in the agricultural sector.

Centa Brasindo Abadi (CBA) is a company operating in the agricultural sector. To maintain and increase productivity, maintenance of production machines is required. Preventive Maintenance (PM) is an approach used in maintaining equipment and machines to prevent unwanted damage or failure. A sachet filling machine is a machine for packaging products that will be distributed in sachet packaging according to the predetermined product weight. Preventive maintenance helps identify potential problems, saves on costly repairs, and keeps equipment in optimal operational condition. The aim of this research is to determine the implementation of preventive maintenance to maintain productivity in an effort to reduce downtime.

This research focuses on optimizing the profits of  UMKM production of banana chips using the simplex linear programming method and the help of POM-QM software. This research aims to find out ways to use profit optimization methods in banana chips MSMEs so that they can find out maximum profits, production costs, income and raw materials used. The method used is a qualitative descriptive method, where the data obtained is more descriptive in nature from the results of interviews and observations that have been carried out and then the data will be analyzed qualitatively. Data collection techniques in this research include the use of primary data and secondary data. Primary data is obtained through observation, interviews, or distribution of questionnaires to relevant sources. Meanwhile, secondary data was obtained through literature searches from books and magazines that were relevant to the research topic. The analysis technique used is linear programming using the simplex method. The research results and discussion show that this function has reached optimal conditions. Therefore, the calculation stops once all the values in the objective function become positive. The result of this solution is the variable value x1 = 6 ; x2 = 2 ; x3 = 0 dan x4 = 0. Increase in profit from the initial value of Rp. 675,000 to reach a maximum profit (Zmaks) of Rp. 900,000, then the difference between profits before and after optimization is IDR. 225,000, and with the help of POM-QM for Windows software calculations become more relevant because this tool helps in completing calculations to achieve maximum profit levels quickly, accurately and efficiently.

The research was conducted to solve the problem of determining the price of goods of production correctly based on the cost of raw materials, labor costs, and overhead costs on the CV xxx of previously priced traditional managers which resulted in sales sometimes felt too expensive and sometimes earned too small profits. Quantitative descriptive research is used to solve this problem to produce conclusions from data related to the determination of substantive prices based on the method of Job Order Costing. The main object of the CV xxx is a detailed note of the need in the manufacture of glass wardrobes and classic dress wardros. The data used in this research are primary data and skunder data, i.e., primary Data is the details of raw materials, raw material specifications, price per unit of raw material, labour cost, etc. Whereas data skunder is a discipline related to the methods of research that can help solve the question of determination of the price of the substance. Research shows results where based on the traditional management of CV xxx, there is a mistake in determining overhead costs. This confusion is detrimental to the company in getting too low profits. Comparison of previous management with the Job Order Costing method can find out where a particular variable should be in the overhead cost category in order to obtain the price of the production commodity that can determine the company's losses.    

This study aims to empower farmer groups in applying appropriate technology to rice farming productivity in Sukajadi Village, Sadananya District, Ciamis Regency. The research methods used include field surveys and analysis of productivity data from farmers who apply this technology compared to those who do not. Primary data was collected through structured interviews with farmers and direct observation in the field during the research period. Data analysis was carried out by comparing rice production results, efficiency of using agricultural inputs, and farmer income before and after adopting appropriate technology. The research results show that the adoption of appropriate technology significantly increases rice productivity in terms of the number of harvests per hectare and reduces the costs of certain inputs such as fertilizers and pesticides. In addition, farmers who apply this technology also report better income increases compared to conventional methods. These findings support the importance of implementing appropriate technology in improving food security and the economy of farmers in rural areas such as Sukajadi Village. This research contributes to expanding understanding of the practical benefits of appropriate technology in the context of rice farming in Indonesia.

The use of quality cost reports in quality improvement programs is a strategy that aims to increase the efficiency of a company's production costs. Quality cost reports include the identification, measurement, and analysis of costs associated with product or service quality deviations. In this context, research discusses the importance of integrating quality cost reports in an effort to improve product or service quality while minimizing production costs. This study demonstrates how the use of quality cost reports can provide valuable insights for companies in identifying the most effective and efficient resources for quality improvement. Quality cost analysis can help management make the right decisions regarding resource allocation, production process development, and implementation of continuous improvement.

Quality cost analysis is an important approach in measuring the efficiency and effectiveness of a company's production process. Focusing on the number of product defects is a critical element in quality evaluation, as defects can impact customer satisfaction, company reputation, and overall business sustainability. This research explores the significance of quality cost analysis as a tool for measuring the number of product defects in the manufacturing industry. Through data collection and statistical analysis, this research aims to provide in-depth insight into the economic impact of product defects and how quality cost analysis can help companies identify, measure and manage these aspects more efficiently. It is hoped that the results of this research will provide practical guidance for companies in improving the quality of their products while optimizing costs associated with nonconformities.

This research is based on the obstacles experienced by sanjai owners in Harau District are limited capital, marketing, suppliers who are often stuck or late in coming so that it disrupts the smoothness of the sales process. And also the sanjai problem faced by the sanjai owner himself is the increase in the price of raw materials which causes an increase in sanjai production costs so that it ultimately affects the income of a sanjai cracker entrepreneur.The method of this research is descriptive qualitative. This research is motivated by the decline in sanjai business income during the Covid-19 pandemic. Then also accompanied by an increase in the price of raw materials which resulted in increased production costs so that the selling price also increased. If the seller does not increase the selling price, the business will suffer losses. With the sanjai business, it can improve the community's economy and also open up jobs for people who are not yet working. The way sanjai owners survive in the era of many competitors is to offer lower prices, work with travel drivers and improve service to consumers. The obstacle that sanjai owners also experience is capital. For limited capital, sanjai owners can be assisted by family or seek loans from outside parties.

Catfish farming is a new livelihood being developed by the people of Lubuk Bendahara Timur village, Rokan Hulu district, Riau province. However, this effort faces challenges in terms of the use of expensive factory pellets, which account for about 60-70% of the total production cost. To overcome this problem, an alternative solution is proposed by producing fish pellets independently by utilizing palm oil waste in the village. Through this community service program, appropriate technology transfer was carried out for Lubuk Bendahara Timur villagers by empowering the local community in producing fish pellets independently. The implication of this program is the increased knowledge in optimizing the utilization of palm oil waste for fish pellet production, so as to reduce production costs, increase income, and manage waste effectively.

The Break Even Point (BEP) analysis can be used by company management to determine product pricing, establish minimum sales, set sales targets, and plan desired profits. The objective of this research is to analyze the determination of the selling price of a production item using the Break Even Point (BEP) method. This research was conducted using a quantitative descriptive method through a cas study approach that employed Break Even Point (BEP) analysis calculations. The results of this research indicate that for the rice flour product of PT AMM, the Break Even Point (BEP) is reached at a sales amput of Rp. 2.129.816.330,-. At this break event point, the selling price of the product is determined to be Rp. 36,975,-, with a total quantity sold of 57,600 units. The sales level, with a variable expense ratio of 87%, allows the company to set the selling price of the product at the break even point (BEP) unit itself is 57.610 units that need to be sold. PT AMM has a profit target of Rp. 20.000.000,- must be made. This is because of the high variable costs; therefore, to achieve a high profit target, additional variable costs must be incurred.

Measuring the company level of productivity performance is a very important thing to do to see and evaluate achievements and improvements to productivity levels that are not yet optimal. This case study was taken from the leather bag UKM which is currently experiencing a decline in productivity during the 2020 period. With the increase in working hours, the company must increase workers' overtime costs. In this research, the method used to measure the level of company productivity is the objective matrix or OMAX method and this research refers to the OMAX steps, namely determining productivity criteria on the production line, determining weights, determining levels on the objective matrix, calculating the productivity index, and productivity analysis with a traffic light system. The research results show that the average value of overall productivity in 2020 is 4,388 The highest productivity index was achieved in August amounting to 67,01%. From the traffic light system, it is known that the worst indicator of productivity is the defect factor, so improvements need to be made regarding this.

Abstract This research aims to analyze the marketing strategy of PT Indofood Sukses Makmur Tbk to enter the international market with a focus on Indomie instant noodle products. Obtain data from trusted sources such as academic journals and books through library research methods. A qualitative approach is used to understand Indomie's marketing strategy through content analysis and data interpretation. This company is famous for its high quality products and various innovations, especially in instant noodle products. Quality standardization in the production process is the key to success in the global market. Apart from that, PT Indofood Sukses Makmur Tbk applies the cost-plus method in determining export selling prices so that its products are flexible and competitive in the international market. In terms of distribution, the company attaches great importance to quality, timeliness, safety and transportation costs. Indomie products are distributed through large wholesalers and retailers and are popular in overseas markets such as Australia. The findings show that effective and efficient marketing strategies have helped PT Indofood Sukses Makmur Tbk maintain and expand its global market share.

This paper presents an optimization approach for a hybrid photovoltaic (PV)-wind-battery energy system tailored for remote areas in Indonesia. Due to the archipelagic nature of the country, many remote areas lack access to the national power grid, making renewable energy solutions crucial. This study utilizes a genetic algorithm to optimize system configurations, balancing energy production, storage requirements, and cost efficiency. Results indicate that the proposed hybrid system can meet local demand with high reliability and at lower costs compared to diesel generators. The study also addresses environmental and social impacts, proposing sustainable energy strategies for Indonesia's underserved regions.

This study explores an artificial intelligence (AI)-based predictive maintenance system for industrial machinery in Indonesian manufacturing. By utilizing machine learning algorithms, the system can analyze real-time machine data to predict equipment failures and recommend timely maintenance actions. The implementation of predictive maintenance has shown to reduce machine downtime by 20% and improve operational efficiency in manufacturing plants in Jakarta and Surabaya. This paper discusses the technical design of the predictive maintenance system, its economic impact on production costs, and implications for Indonesia's industrial sector.

The research has a purpose to be achieved to determine and analyze the feasibility of the written batik production business in the batik industry center located in Ngentrong Village, Karangan District, Trenggalek Regency financially. The research was conducted through a qualitative descriptive method involving 6 informants. Based on the analysis conducted, the highest B/C Ratio value reached 0.60>1, while the lowest value of 0.19>1 indicate that the business is feasible. The R/C Ratio results also show that the hand-written batik production business meets the criteria for feasibility with the highest value of 1.60>1 and the lowest value of 1.19>1. The results of the analysis using ROI produce an ROI value> 0%, namely the highest value of 65.42% and the lowest value of 8.70%, so the hand-written batik production business is feasible to run. Analysis using BEP produces the highest BEP unit value of 258 units and the lowest BEP unit value of 131 units. Analysis using BEP rupiah results in the highest value of Rp96,728,322.00 and the lowest BEP rupiah value of Rp46,017,367.00. Based on the analysis that has been conducted in this study, it can be concluded that the written batik production business at the batik industry center in Ngentrong Village, Karangan District, Trenggalek Regency is feasible.

In the current era of globalization, technological developments are progressing rapidly, one example is accounting information systems, the large amount of expenditure for production and operational costs means that companies must be able to pay attention to this so that the desired things do not happen. In this research, researchers used qualitative methods based on library research. The results of this research indicate that PT. PP (Persero) Tbk (Trans Sumatra Indrapura-Kisaran Toll Road Project) has been implemented systematically and in accordance with the accounting system, as well as the cash disbursement accounting recording system which is effective and efficient. The company's internal control system for cash disbursements has been implemented well, and everyone in each unit has worked together to improve the cash and disbursement systems after the finance department discovered recording errors. This shows that there is a strong level of internal control implemented in each department, making it difficult to misappropriate and embezzle funds.