The Influence of Health Facilities Information System Application in The Business Process of Clinic Bunga Melati

― In this competitive business era, Klinik Bunga Melati (KBM) has changed its business and management strategies 3 times in the last 2 years with the aim of adjusting internal and external conditions in the health sector and make KBM superior to other competitors. KBM expects the development of technology that can be applied efficiently and integrated between KBM internally. In 2018, KBM teamed up with the Badan Penyelenggara Jaminan Sosial (BPJS) Kesehatan. In this regard, BPJS provides a Health Facilities Information System (HFIS) with the aim of making it easier for health units to make claims. But the leader of the KBM considers HFIS not suitable to be implemented in the KBM Welirang Branch. The KBM Welirang Branch staff must do 2x recapitulation of patient medical records every day. There are quite a lot of variables in HFIS besides self-data, staff must also write data related to diagnosis, details of drugs used, drug costs, and doctor's fees. Based on the KBM leaders interview, this is considered to be very time-consuming and costly because HR has to work 2x more and patients need more time to get action. HOT-Fit method is considered suitable for this research because this model can provide an explanation and provide an evaluation of the application a system in the field of health services from human factors (human), technology (technology), organization (organization) and net benefits. The output of this research is an analysis of aspects that need to be improved and the match rate of HFIS implementation in the KBM Welirang.


I.INTRODUCTION
In this competitive business era, it is hoped that all forms of business will be able to keep up with technological developments, including business in healthcare. As stated in the forbest, it is known that the healthcare service business helps develop the economy of developing countries by 10% and is the largest growing business in the world. Bunga Melati Clinic (KBM) has developed into 6 clinical branches in Malang, East Java since 2007 with quality human resources and facilities and strategic location that makes it easy for patients to seek treatment. KBM has different facilities and services in each of its clinics. The KBM Center is located on Jl. Attorney General Suprapto, for the main clinic located on Jl. Pandjaitan, for the partnership clinic of Siekes Melati Kostrad, located on Jl. Raya Malang Surabaya, a specialist clinic located on Jl. Cakra Guna, the Rahmat seat partnership clinic is located on Jl. Tirto Mulyo, and KBM have just built a new specialist clinic on Jl. Welirang.
KBM has changed its business and management strategy 3 times in the last 2 years with the aim of adjusting internal and external conditions in the health sector and to make KBM superior to other competitors. Related to current business developments, KBM expects technological developments that can be applied efficiently and integrated between KBM internally. However, KBM found obstacles in the Management Information System (SIM) which is the main priority that is being sought for a solution this year, especially in the KBM Welirang Branch.
In connection with the development of the health unit, Indonesia also has a program from the government which we know as the Health Insurance Administering Agency (BPJS). Since 2014, BPJS has officially operated until now. In an effort to improve the quality of services that are better for patients and for health facilities, BPJS Health develops an Information Technology based system related to the increasing number of Indonesians using BPJS services. The BPJS Health information system is referred to as the Health Facilites Information System (HFIS). Each patient will be represented in alphanumeric code. BPJS Health seeks to socialize this HFIS to all hospitals, clinics, and health centers in Indonesia with the aim of making it easier for health units to make claims. But the problem now is that not all health units consider HFIS to facilitate the work of staff including KBM Welirang Branch.
For now, KBM Welirang Branch uses a manual system by optimizing Microsoft Excel for the data collection process of patients either independent patients or BPJS Health patients. KBM Welirang Branch staff must do a 2x recapitulation of patient medical records every day. First of all, KBM Welirang Branch staff manually input internal data per day for independent patients and BPJS Health patients. After that, KBM Welirang Branch staff input BPJS Health patient data into HFIS to get the Reference Number, then the Reference Number is used to get the Participant Eligibility Letter (SEP) where the SEP is used by the KBM Welirang Branch to get the v-claim from BPJS Health. There are quite a lot of variables in HFIS besides self-data, staff must also write data related to diagnosis, details of drugs used, drug costs, to doctor's fees. Based on KBM CEO interview data, this is certainly very time-consuming and costly because HR has to work 2x more and patients need more time to get action. The CEO of KBM thinks that HFIS is not suitable with the business and environmental conditions in KBM Welirang Branch.
Based on the background above, it is necessary to do an analysis of the successful implementation of the HFIS information system at the Bunga Melati Clinic in the Welirang Branch using the Human Organization Technology (HOT) Fit method. Therefore, this study will measure the suitability of the application of the HFIS information system at the Bunga Melati Clinic in the Welirang Branch with the Hot-Fit method. Based on a number of previous studies, the HOT-Fit Model can be applied to the research title "The Influence of the Implementation of the Health Facilities Information System (HFIS) in the Business Process of Welirang Branch Melati Clinic" because Yusof (2006) argues that this evaluation model clarifies three important and fundamental components that are affect the successful adoption of information systems where the three components are mutually sustainable. HOT-Fit is considered suitable for this research because this model can provide an explanation and provide an evaluation of the application of a system in the field of health services from human factors, technology, organization and net benefit.The results of this study are in the form of an analysis of the suitability of the HFIS information system on KBM from human factors, organizational factors, and technological factors. In addition, the provision of recommendations will be given as a support for the system development plan in the KBM.

II. METHODS
Quantitative research methods are a method used to answer research problems related to data in the form of numbers and statistical programs [1]. This research uses descriptive quantitative research methods by conducting surveys and collecting primary data through interviews with guidance on distributing questionnaires to users of information systems as respondents. In this study, the object and material of the research are the users of the Health Facilites Information System of the Badan Penyelenggara Jaminan Sosial (BPJS) Kesehatan at the Bunga Melati Clinic (KBM) Welirang Branch. The making of the questionnaire is based on the HOT-Fit Model method, where the identification of research variables is carried out through the literature study process in previous research as the basis for the preliminary survey to obtain relevant variables to be modeled and analyzed. The following will identify the variables needed in research. The variables in this study consisted of two types namely endogenous variables and exogenous variables.
From Figure 1 and Table 1 is determined that there are three endogenous variables namely System Use (PS), User Satisfaction (KP), and Net Benefit (Benefits) which are influenced by six exogenous variables namely System Quality (KS), Information Quality (KI), Service Quality ( KL), Organizational Structure (SO), Facility Conditions (KF), and Leadership Support (DP) [2]. This study uses the Hot-Fit model developed by Yusof et al, with several modifications to assess the successful implementation of the HFIS information system. One way is to eliminate organizational environment variables (organization environment). Because these variables are considered too broad so researchers replace the organizational environment variables with facilitating conditions and top management support [2].

Variation Test
In statistics, the standard deviation is a measure used to measure the amount of variation or the distribution of a number of data values. The lower the standard deviation, the closer it is to the average. Meanwhile, if the higher the standard deviation, the wider the variation of the data range.
After knowing the mean per indicator in the HFIS questionnaire research data in Table 2, then proceed to the validity test stage. Standard deviations can be calculated with the following formula: The standard deviation result is 0.217 and includes a low value. It can be said that the range of questionnaire data variants is not too far apart.

Hypotesis Testing
From the Table 3 it can be seen that the hypothesis is rejected or accepted by looking at the value of t statistics compared to t table, in hypothesis testing the significance level is 95%. the value of t