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Water loss can be defined as the difference between the recorded amount of water in the system and the amount of water out of the system shown, in a water supply system is not entirely produced water installations reach consumer. Usually there is a leak here and there, called the loss of water. Then to reduce or minimize the water loss rate needed the right solution. One of solution that can be used is the Non Revenued Water (NRW) program. NRW can be defined as water that can be measured and a known amount of be chased but can not or may not be income, but it can be justified. The one of the methodologies that can be used to determine the amount (NRW) is a method of infrastructure leakage index (ILI) used Software WBEasycalc3. Water loss rate is the percentage ratio between water loss and the amount of water distributed in piped water network, while the water balance is calculated based on the amount of incoming water flow, consumption meter-Revenue, customer meter inaccuracies, water loss and physical loss. Both of two magnitudes in the ILI value is calculated by using Table Matrix Target that compiled by regulators of water service DKI Jakarta.  

Quality control is one of the obstacles experienced by PT. Wahana Kasih Mulia on CV. KKN. Quality control is an important thing that must be done by companies to minimize defective products. To be able to analyze product defects, researchers use the six sigma model, by formulating the Define, Measure, Analyze, Improve, Control (DMAIC) stages. The purpose of this study was to determine the level of quality control using the DMAIC method with the Six Sigma model applied to manufacturing companies. The results showed that from the measurement of the number of Omiland brand baby mattress products in the January-October 2021 period, it was found that defective products came from three main causes of disability. The distribution data of the number of product quality characteristics and company performance are at the sigma level of 3.50 with a DPMO value of 27,082.275. This shows that the company has not been able to meet process quality standards. Based on this research, the recommendations for improvement given are that the company needs to provide periodic training to employees, perform maintenance on machines, apply a clearer and more detailed Standard Operating Procedure (SOP), conduct tighter supervision of newly arrived raw materials and the company needs to place quality control at every stage of the production process.

Study table is one of the supporting learning activities but the current study table design is not in accordance with consumer needs, especially for children. The development of this study table product is expected to answer the needs of custumers or consumers and produce an ergonomic study table. This multifunctional learning folding table product uses the parameter measurement of the Quality Function Deployment (QFD). The result obtained based on the customer show that there are 7 attributes (customer requitment) and 4 technical parameters ( technical response). In this regard, the product development of a multifuntional folding study table uses the Quality Function Deployment (QFD) method using teak wood. This table also has several features, namely a reading light feature, a glass holder, a storange feature, equipped with a simple design, attaractive practical colors and ideal dimensions so as to increase comfort inusing the folding study table product.

This study aims to examine the Physical Aspects, Personality Interaction, Problem Solving, mediated by Customer Satisfaction against Customer Loyalty. The data used in this study used data obtained from questionnaires distributed to customers at Mirota Campus, DI Yogyakarta. The number of questionnaires distributed in this study to 220 respondents. The research data were analyzed using multiple linear regression analysis using the SPSS 25 program. The results of this study indicate (X1) Physical Aspects not have a positive effect on (Z) Customer Satisfaction. (X2) Personality Interaction has a positive effect on (Z) Customer Satisfaction. (X3) Problem Solving has a positive effect on (Z) Customer Satisfaction. (Z) Customer Satisfaction directly has a positive effect on (Y) Customer Loyalty. (X1) Physical Aspects through (Z) Customer Satisfaction has a significant influence on (Y) Customer Loyalty. (X2) Personality Interaction through (Z) Customer Satisfaction has a significant influence on (Y) Customer Loyalty. (X3) Problem Solving through (Z) Customer Satisfaction has no significant effect on (Y) Customer Loyalty and service quality mediated by costumer satisfaction (Z) on costumer loyalty (Y) has a positive effect.

Sinar Sosro is a company that produces various beverage products. Product quality and brand equity in this company have been carried out well, in line with the development of market share and strong competition to always develop in making products that are attractive to consumers so that consumer satisfaction will always be well maintained.This type of research is a quantitative research. Collecting data in this study using the method of observation, interviews and questionnaires. The population of this study was 110, sampling used a combination technique of accidental sampling and purposive sampling, using the Slovin formula to get a sample of 88 respondents. The analysis uses multiple regression with the help of SPSS 22 software.Based on the results of this study there is a partial influence between the variable Product Quality (X1) on Consumer Satisfaction (Y) which is significant. we can conclude that t count, 5.292 > t table 1.988 and the significance value of the product quality variable is 0.000 < 0.05. This means that product quality (X1) partially influences consumer satisfaction (Y), so the hypothesis H0 is rejected. H1 is accepted. Based on the results of this study, there is a partial effect between Brand Equity (X2) and Consumer Satisfaction (Y). which is significant. We can conclude that t count is 4.251 > t table 1.988 and the significance value of Brand Equity is 0.000 <0.05. This means that Brand Equity (X2) partially influences Consumer Satisfaction (Y), so the hypothesis H0 is rejected and H2 is accepted. Based on the results of the study, there is a simultaneous (simultaneous) effect between the variables Product Quality (X1) and Brand Equity (X2) on Consumer satisfaction (Y). Statistical data analysis shows. The simultaneous significance value of Product Quality and Brand Equity is 0.000 < 0.05 and the calculated F value is 57.997 > F table 3.101. This means that Product Quality (X1) and Brand Equity (X2) simultaneously affect Consumer Satisfaction (Y), then the hypothesis H0 is rejected and H3 is accepted. Based on the output results of SPSS 22, there is a coefficient of determination or R square of 0.577 or 57.7% . This shows that the independent variables studied (product quality and brand equity) have a positive influence on consumer satisfaction by 57.7%. while the rest is influenced by other variables not studied.

This study aims to determine the most significant factor statistically influencing customer satisfaction in the purchase transaction process using mobile commerce to test the moderating effect of customization or efforts to adapt m-commerce to consumer desires. Respondents who filled out the survey consisted of 125 respondents, spread over a span of 1 month, for customers who in the last 12 months have used m-commerce for buying and selling transactions. The results of this study are the customer trust factor, the perceived enjoyment factor when using m-commerce, the moderating effect of customization on usage benefits factor, and the customization factor are the 4 factors that most influence customer satisfaction. These findings are useful for M-commerce providers to focus their development on aspects of customer trust, customer enjoyment, and customization.

The purpose of this study is to assess the impact of different components of the green marketing mix. Specifically, the impact of green product, green pricing, green location, and green advertising on Armour Coffee purchase intentions in Maros Regency. The data utilised in this study was collected from 63 customers who had previously made purchases at the Armour Coffee location in Maros and was rigorously tested for validity, reliability, and classical assumptions. Data was collected via purposive sampling, and the results were analysed using multiple linear regression aided by the Statistical Package for Social Sciences (SPSS). Three of the five hypotheses analysed have empirical evidence to support them. Empirical results reveal that eco-friendly product and eco-friendly location qualities are favourably connected with purchase intention, whereas no significant influence is detected in regard to eco-friendly pricing and eco-promotions.

The increased garbage creation in Maros may motivate businesses to become more concerned with environmental sustainability. Armour Coffee's green marketing strategy begins with the brand logo and extends to the firm's vision and objective. According to statistics from the top brand index, Armour Coffee remains the least popular local coffee shop in Indonesia, which is both a phenomena and a problem in this study. Based on the findings, the study concludes that Green Product and Green Place have a favourable influence on Interest in Purchasing Armour Coffee in Maros. Meanwhile, Green Price and Green Promotion had little influence on Interest in Purchasing Armour Coffee in Maros. Simultaneously, green product, green pricing, green location, and green promotion (green marketing mix) impact interest in purchasing Armour Coffee in Maros.

The goal is to get a sense of the shop ambiance, promotions, and customer purchasing interest at Kopitema. The study technique employed is a descriptive and verification strategy. The procedure of gathering data by delivering questionnaires to Old Coffee customers as responses. Even while respondents' answers to promos are fairly positive, there are still low ratings, indicating that they still need to be improved. Similarly, consumer purchasing interest in Old Coffee based on respondents' comments is deemed strong, but the evaluation remains low and has to be improved. Partially, it was discovered that the shop environment impacts customer purchasing interest.