The Era of the Industrial Revolution 4.0 has been able to change the paradigm of government towards the contribution of Information Technology in providing fast, precise and accurate services to the public for better information service needs. Trends in Smart City Governance will also increase public and government participation in utilizing application data so that they can provide suggestions and criticisms quickly, easily and accurately. Makassar has a population of 1,469,601 people and is the highest compared to other regions in South Sulawesi. Makassar has produced around 1,200 tons of waste per day that goes to Tamanagappa landfills. Waste generated by each district is different from other districts, so it is necessary to do integrated waste management. To overcome this problem, Makassar City Government applies the Smart City concept that focuses on Smart Environment. This concept aims to reduce and utilize waste and create better energy sources. The research objective is to develop a system that can provide information to the public so that the performance of the Makassar City Sanitation Office becomes effective and integrated. Geographic Information System (GIS) is a system designed to capture, store, manipulate, analyze, organize and display all types of geographic data. GIS components consist of data, software, hardware, users, and applications. Research using the Spiral method with tools or applications used by implementing ArcView, ArcGis, and Map Info. GIS tools used are based on Open Source such as Google Maps by providing various types of libraries that can be directly used. The results showed 90% of respondents agreed that this application could be used.

IT Governance has provided hope in human life, especially waste management and environmental cleanliness services. The role of IT becomes very important when people want services that are fast, accurate and relevant. Technology using Geographic Information Systems (GIS) has provided opportunities and made it possible to interact easily. The purpose of this research is to provide a GIS for the city environmental and sanitation services in order to provide good services in creating a clean environment. The research method uses the system analysis method with a spiral model approach in system design. The results of the design of GIS have been able to improve the performance of waste management in the city of Makassar.

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Perkembangan teknologi informasi di Makassar telah menerapkan konsep smart city. Misi pembangunan kota adalah membangun perekonomian masyarakat kota yang memiliki kapasitas unggul, daya saing, produktif, kreatif, inovatif, efisien dan menggunakan teknologi informasi untuk pemanfaatan sampah yang dihasilkan oleh masyarakat dan perusahaan. Kota memiliki permasalahan yang berasal dari pembangunan dengan menghasilkan sampah berupa sampah organik dan anorganik. Untuk memberdayakan masyarakat diperlukan tata kelola kota dengan konsep desain yang berlanjut menuju green technology. Tujuan penelitian adalah merancang model yang dapat memilah dan mengidentifikasi sampah berdasarkan beragam jenis organik yang dapat dimanfaatkan menjadi bahan baku pembuatan briket biomassa sebagai sumber energi alternatif terbarukan. Penelitian menggunakan metode deep learning sebagai bagian dari machine learning dalam memecahkan permasalahan deteksi objek pada klasifikasi citra digital di computer vision. Penelitian menghasilkan desain model klasifikasi berdasarkan deteksi objek dengan mengklasifikasi 5 jenis sampah organik.

Indonesia has rich production potential by treating and disposing of a large amount of waste. The need for new and renewable energy is increasing daily along with increasingly limited energy sources, such as fuel oil worldwide, including Indonesia. Organic waste has potency as the energy that needs to be appropriately managed by the city government, environmental services, entrepreneurs, and the community. However, the energy needs of the community and companies in development are increasing. The research aims to determine the consumption and trends of fuel used by the community and the potential of coconut shell waste as a raw material for making biomass briquette fuel. There are no research results for calculating community energy needs based on organic raw materials for coconut shell organic waste. The prediction and calculation methods used a linear regression model. The regression model can predict the community's energy needs based on the amount of waste generated and the energy potential from the briquettes, which has not become a top priority for energy. Other fuels such as electricity, LPG, kerosene, wood, and others influence the need for briquette fuel. The results showed that the need for briquettes is inversely proportional to the demand for other fuels following multiple linear regression with a high coefficient of determination (0.989). Briquette is an alternative fuel from organic waste, such as coconut shell waste, which is environmentally friendly for future life. Coconut shell waste affects charcoal weight, which follows from the linear regression and gives a good correlation test.