PT XYZ is a company engaged in the furniture industry, the products produced are various, one of which is the Yamato folding chair. Yamato folding chairs are the most produced products, the production process of Yamato folding chairs consists of three processes, namely the construction process, the nickel chrome plating process, and the assembly process. In this study, the researchers focused more on the nickel chrome plating process because the most defects were in this process based on historical data from July 2020 to December 2021. The nickel plating process also has many types of defects including streaks, burns, yellow, and so on. Nickel chrome plating process is a metal deposition process on the surface of a metal or non-metal electrolytically. In the analysis of the problem there is a process that is not fulfilled using the Ishikawa diagram, 5 whys analysis, and FMEA it is known that the influential factor is the incompatibility of pH levels, to correct these problems, a tool is designed. The method used for the design of the tool is the QFD (Quality Function Deployment) method. QFD is a way to improve the quality of products and services by understanding each consumer's needs, then connecting them through technical aspects to produce products or services that suit consumer needs in each manufacture product or service produced. The results of this study are a tool to monitor pH levels so that they are in standard conditions. With the design of a monitoring tool for pH levels, it is expected to minimize defects that occur in the coating process.

BACKGROUND M-health use in low- and middle-income countries is expected to overcome the widespread health system barriers such as health professional shortages, cost of services and transportation. However, the use of m-heath in those countries including in Indonesia is not as expected, probably due to low acceptance and willingness to use the m-health. OBJECTIVE This study observed the influence of trust, health belief, and technology acceptance on the intention to use m-health in Indonesia for both users and non-users. METHODS A total of 616 respondents with a balanced number of users and non-users of m-health voluntarily participated in this study by filling out a questionnaire. The questionnaire was developed based on a conceptual model integrating trust, health belief model, and technology acceptance. A total of 34 questions were administered based on the conceptual model. A five-Likert scale was used to measure the answers. RESULTS Interesting findings showed that among the non-users of m-health, perceived usefulness influenced the intention to use m-health more than that among those who actually used the technology. Among the users of m-health, perceived ease of use influenced the intention to use the technology more than that among the non-users. The effect of trust was not shown to be significant. CONCLUSIONS In general, intention to use m-health in Indonesia was significantly influenced by perceived usefulness, perceived ease of use, and perceived health risk.