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Agit Kristiana (National Institute of Public Administration)
Erna Irawati (National Institute of Public Administration) The year 2010 has been marked as an important era in term of bureaucratic reform in Indonesia. One of the agenda being enforce is in the area of human resource management by promoting professional position (functional position) in the public organization. One of those professional is policy analyst (PA). Public policy in Indonesia has been noticeable with complex, redundant which lead to inefficiency, unclear objectives, great in number, and not intended to serve the public (Dwiyanto, 2015). For those reasons, PA was established in 2013 to provide better quality of recommendations based on solid evidences (evidence-based policy). After three years of implementation and recruited around 80 PA which are spread into 19 ministries/agencies/local governments, Center for Policy Analyst Development-NIPA conducted a research to understand and know the present and role of PA in their respective organizations. Qualitative descriptive research is used to analyze PA’s experience in conducting their tasks, responsibilities, and roles. All ministries/agencies/local governments are observed and analyzed closely to portray their point of view. Organization, leadership, and PA’s capacity are chosen as variables to analyze their experiences in dealing with their activities. Findings show that organization and leader support are lacking while PA’s capacity is present in moderate rate. The organization has the lowest value 10.75 comparing to leaders’ support 18.19 and PA’s capacity 35.75. In total, the utilization of PA is 40.87. Based on those findings some recommendation is presented: NIPA as agency that has responsibilities to develop the PA has to work closely with Ministry of Government Apparatus Empowerment and Bureaucratic Reform to create innovative ways to place PA in a strategic route of decision making process and ‘force’ decision makers to use and take advantage of PA’s existence.
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Muhammad Syafiq (National Institute of Public Administration)
Naufal Sabda Auliya (National Institute of Public Administration) Discourses on bureaucratization and debureaucratization have long been prominent. Responding to the discourse, Gerald E Caiden, through the theory of Curve J (Caiden, 1994) or Parabolic Theory of Bureaucracy (Caiden, 2009) explains the relationship between bureaucracy and bureaucratic efficiency. According to him, the relationship between bureaucracy and bureaucratic efficiency is not linear but parabolic. Bureaucracy at some point creates efficiency, but when it goes beyond its optimum point, the bureaucracy becomes increasingly inefficient. Thus, when is bureaucracy beyond its optimum point in order to need debureaucratization? There is currently no definite indicator to show that bureaucratization has exceeded its optimum point. This paper offers the solution to the discourse of bureaucratization and debureaucratization that should be left to the public as the main object in the delivery of public services by public perception survey. The data used to justify the ideas in this paper are derived from the results of the study in five regions, namely Muara Enim Regency, Yogyakarta City, South Tangerang City, Serang City, and DKI Jakarta Province. Divino Amor P. Rivera (Don Mariano Marcos Memorial State University)
Paulito C. Nisperos (Don Mariano Marcos Memorial State University) Alicia F. Oliva (Don Mariano Marcos Memorial State University) The study generated energy consumption of household in Region I as basis in the policy agenda identification. It sought answers on characteristic of household heads, households and household energy consumption; level of accuracy using data imputation and; significant difference between the data imputation procedures. This study is descriptive research using Household Energy Consumption Survey (HECS) administered to 1,133 respondents in Region I. More than three-fourths (76.88) percent of the respondents were male as heads and almost one-fourth were female; almost one-third (30.63%) were self-employed. 9/10 uses electricity for lighting; 8/10 uses it in entertainment. On the ownership of vehicles, 28.42% were owners, while still a greater portion does not own vehicles. The relationship between characteristics of the household and their fuel consumption gave a negative negligible correlation; regression imputation was consistent in creating a complete data with 5%, 10%, 15%, 20% and 25% of the missing value on the data set. |
THEME B: Human Resources and Social Capital for Sustainable DevelopmentEmpowering Governance Stakeholders for Quality Public Service Categories
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