Smart city movements are growing all over the world. The undertaking is expected to solve a plethora of problems arising from urbanization. Indonesia is one of the countries who march toward the development of sustainable smart cities. However, before the government can start a smart city project, they need to assess the readiness of each target city. Data in this article illustrate the readiness of six major cities in Indonesia, which are Semarang, Makassar, Jakarta, Samarinda, Medan, and Surabaya. They represent the four biggest islands in Indonesia. The readiness assessment was based on three main elements and six Smart City Pillars taken from Smart City Master Plan Preparation Guidance Book prepared by Ministry of Communication and Information Technology of the Republic of Indonesia. Those elements serve as a checklist to determine the readiness of the cities. Data for qualitative analysis were gathered through interviews and triangulated through secondary sources, such as publication from Statistics Indonesia and the assessment reports. The dataset contains information on the readiness assessment is presented in this article. The indices of the six region's readiness assessment are presented in percentages.

Purpose The purpose of this paper is to apply a systems thinking methodology to analyse Indonesia’s new and renewable energy (NRE) electricity sector to describe the complex interrelations between its actors and variables, identify the systemic patterns and formulate recommendations for the policymakers. Design/methodology/approach Systems thinking methodology is used to observe the NRE electricity system and compile the corresponding data into a meaningful diagram to describe and recommend solutions for the sector’s issues. Causal loop diagram is used as the main method in this study with a deeper analysis of system archetypes to uncover the system behaviour. Soft system methodology and critical system heuristic are used partially to clarify the system boundaries, cultivate the perspective of the involved actors and problem categorization. Findings A comprehensive diagram is developed to present interrelation between all the components within the NRE electricity sector in Indonesia and the expected impact of any act or change to the entire system. Based on the causal interrelations between variables, typical systemic patterns or archetypes are used to identify unproductive patterns towards achieving the NRE electricity sector objectives. Originality/value The findings provide an initial outlook on the variables and systemic patterns within the system as a critical consideration in the decision-making process and policy development for the NRE electricity sector.

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