Strategy Implementation of the Six Smart City Policy to Public Services (Case Tudy in Klaten District)
Authors: Dewi Kurnia Sari , Raharjo Paiman , Sukmana Panji , Rachmatsyah T. Herry , Sudaryana Bambang 
Published: June 2024

Purpose: This research aims to evaluate the level of effectiveness of policy implementation regarding 6 smart city programs and how much influence they have on improving public services in Klaten district, Central Java, Indonesia.

Theoretical Framework: Drawing on the practice-based view theory, this study focuses on several constructs and their interconnections namely Sakura (In-Network Population Administration Service System related to the smart governance dimension, Titip Bandaku Program related to the smart society dimension, Matur Doctor from the smart living dimension, River School from the smart environment dimension, The Podcast Program Talks Klaten Shines RSPD and Rolasan as a dimension of Smart Branding, and Klaten is fertile as a smart economy.

Method: The research was carried out according to mixed quantitative research methods with qualitative research (Mixed quantitative and qualitative research methods). This research on evaluating the impact of E-Government on Public Services is a type of evaluation research using quantitative-qualitative methods (mixed methods). The research design used is a sequential explanatory design or a combination model research. Combination research with sequential explanatory design is research that combines quantitative and qualitative research methods sequentially, where in the first stage the research is carried out using quantitative methods and in the second stage it is carried out with qualitative methods (Cresswell, 2009: 209).

Results and Discussion: To examine the influence of intervening variables, path analysis methods are used. Path analysis is an extension of regression analysis. Path analysis uses regression analysis to estimate the causal relationship between variables (causal model) that has been determined previously based on the theory. Path analysis alone cannot determine causal relationships and also cannot be used as a substitute for researchers to see causal relationships between variables. The average value of E-Government with a strongly agree answer of .398.4 is classified as a good variable. Respondents agreed that the average score was 5.55 in the good group. E-Government variables were grouped as variables that had good criteria. The average value of the Smart City Masterplan variable according to the answers of the respondents strongly agreed was 100.2 which was categorized as good. The average value according to the response answers agrees that the value is 1.8 which is categorized as good and. The Smart City Masterplan variable is in a good position.

Research Implications: Based on the results of the research and discussion in Chapter IV, it can be implication as follows: 1. There is a close relationship with the empirical description of the variables E-Government, Smart City Master Plan, Smart City Program and Public Services. 2. There is a significant influence of E-Government on the Smart City Program in Klaten Regency. 3. There is a significant influence of the Smart City Masterplan on the Smart City Program in Klaten Regency. 4. There is an indirect influence of E-Government on the Smart City Program in Klaten Regency. 5. There is an indirect influence of the Smart City Masterplan on the Smart City Program in Klaten Regency. The implication of the results of qualitative research in this study are as follows: 1. The average value of E-Government (X1) with a strongly agree answer of .398.4 is classified as a good variable. Respondents agreed that the average score was 5.55 in the good group. E-Government variables were grouped as variables that had good criteria. 2. The average value of the Smart City Masterplan variable according to the answers of the respondents strongly agreed was 100.2 which was categorized as good. The average value according to the response answers agrees that the value is 1.8 which is categorized as good and. The Smart City Masterplan variable is in a good position. 3. The average value of the Smart City Program according to the respondents' answers strongly agree with a value of .100.2 is classified as a good variable. 4. The average value of public services according to the answers of respondents who strongly agree is 102.8, which is classified as a good variable. The average value according to the respondent's answer agrees with a value of 1.2 which is categorized as quite good Public Service Variables are grouped as variables that have good criteria 5. There have been changes in the implementation of E-Government, the Smart City Masterplan, the Smart City Program and Public Services, in Klaten Regency as a result of the implementation of e-government in Klaten Regency 6. There are desired and unwanted impacts, both positive and negative, from the implementation of e-government in Klaten District.

Originality/Value: It also enlarges the body literature on smart city through producing empirical evidences concerning the influences of policies and six smart city program on publiuc services in developing country. Strikingly, the originality of this investigation lied in studying the mediating effect of policies on the interlinks between policies and smart city program as well as masterplan smar city and public services.