Advances in digital technology have increasingly influenced many aspects of our everyday life at different geographical levels. In this paper, we focus on rural areas as key geographical loci of development by investigating the notion of the smart village (SV). Our main objective has been to improve the understanding of the adoption of the SV concept in different geographical contexts by zooming in on the case of Banyuwangi, Indonesia. In doing so, this paper investigates the adoption of SV in Banyuwangi by means of the Smart Kampung programme and reflects Banyuwangi’s situated experience against the broader SV discussions. Drawing on empirical material obtained through a series of semi-structured interviews conducted between 2020 and 2021, our analysis reveals that Banyuwangi has contextually translated SV into three main aspects of development, namely government service, economy and tourism. More broadly, our study exhibits that geographical situatedness of SV does matter, in the sense that some aspects of Banyuwangi’s experimentation with SV align with the trend in Global South countries, while some echo the trend in Global North countries.

A household survey for the analysis of choice experiment were made to 360 farmers in three selected villages in Central Kalimantan Province. The objective is to analyze the current land use and to observe the perception of farmers on converting part of their land use for bioenergy plantation. The Choice Experiment is used to find a combination of appropriate payment systems to replace the use of the existing land for their farming. From the analysis of Choice Experiment can be explained comparison of the two approaches, that is, models without any interaction and models with interaction. On models without significant interaction effect on farmers' preferences is Contract Provider (prov), contract length (c-length), water table, land set-aside, compensation, Age, Age2, and income on the real level of 10%. To obtain more accurate results the researchers include variables of interaction between the characteristics of the respondents with a primary variable in order to obtain the best model from the model. From the results of choice experiments good, both without interaction and with interaction can explain what factors that will influence farmers' decisions in choosing their compensation, as a result of implementing bioenergy development.

The demand for electricity in Indonesia will continue to increase. Thus, the market opportunity for the power generation industry needs to be optimally utilized by domestic business actors through the Local Content Requirements (LCR) policy. Through exploratory techniques, the primary goal of this research is to assess the capability of Indonesia's national turbine industries and research institutions, as well as to develop policy recommendations for maximizing the use of local content in order to comply with the Ministry of Industry's Domestic Component Level Regulation, also known as Local Content Requirements (LCR).  There are at least three challenges that need attention, namely technology capability and efforts, infrastructure, and institution. Although Indonesia has good prospects and opportunities to develop large-scale turbines, the challenges ahead in developing coal-fired turbines will be more complex due to the strengthening of the clean development paradigm. Thus, it is important to rethink the direction of developing LCR policies for coal-fired turbines. The study recommended budget allocation for ensuring continuity of turbine prototyping, simplify the process to obtain technology licensing, and developing industries that can support materials for turbine industries.

This study aims to revise the indicators of measuring Regional Innovation System (SIDa) component in order to simplify the measurement such that it can directly influence the improvement of success indicators in a region or district. Measuring the components of SIDa for all regions are necessary as the baseline of policy parameters for the Government in developing SIDa so that the implementation the policy on innovation systems become more effective. In this study, the modeling is focused on refining the existing parameters that have been previously developed for strengthening policy implementation of SIDa applied in each region. Modeling and development of these indicators are required in order to result as a reference for solving problems in the implementation of SIDa and can be used as reference material to establish an appropriate and effective patterns of regional development approach. The analysis tool used is multiple regression analysis using an Ordinary least square technique. Results of regression modeling produced a valid model with all independent variables significant and positive impact on the SIDa. Regression analysis shows that strengthening SIDa of all provinces in Indonesia provide significant and positive impact in increasing the Gross Domestic Products (GDP). Likewise, the success indicators show the positive effect, which means that implementation of SIDa has proven to increase the benchmark indicators of the region.

The government of Indonesia has set up an electricity development program of 35,000 Mega Watt (MW) to provide adequate electricity infrastructure so that the 100% electrification ratio can be achieved. The construction of the development of power infrastructure has implications for the demand for reliable electrical components, which supports upstream to downstream industries. The turbine is one of the major components in electricity infrastructure which requires the supply of mechanical energy as the driving force. Despite its market potential, the turbine is a relatively high imported component, and this indicates the importance of fostering the development of turbine technology in Indonesia. The main objective of this study is to examine the capability of national turbine industries and research institutions in formulating policy recommendations to increase the use of the local content, called Tingkat Kemampuan Dalam Negeri (TKDN), in turbine manufacturing industries following the provisions stipulated in the Ministerial Decree No.54/M-IND/PER/03/2012 on Guidelines for Use of Products of State for Infrastructure Development in Electricity. This study applies SWOT and Balanced Scorecard, focusing on the analysis of capabilities of the turbine industry and identifying the mastery of turbine technology by various research and development institutions in Indonesia. The result of the study shows that the degree of BSC performance level in implementing the TKDN improvement strategy in the turbine industry is considered as less successful, therefore, short-term and long-term policy recommendation needs to be implemented to expedite the increase of TKDN.