Geographic Information System for Waste Management for the Development of Smart City Governance

Abstract

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.

Peran Sig Dalam Penerapan Smart City Di Indonesia

“…Gambar 5 Peta Kota Makasar (Saptadi, Chyan and Pratama, 2020) Gambar 6 Alur pengelolaan sampah menggunakan SIG (Saptadi, Chyan and Pratama, 2020) Jurnal Bhuwana Taki Vol. 2 No.…”

Modeling of Organic Waste Classification as Raw Materials for Briquettes using Machine Learning Approach

“…On the other hand, the demand for energy from communities and development organizations is rising [13], particularly for new and renewable sources of energy, which are becoming more and more limited in Indonesia [14]. With information on the different types of waste, landfill locations, transportation routes, and cleaning personnel, the geographic information system has been able to offer waste management services in every sub-district of the city of Makassar [15].…”

“…The research approach uses quantitative methods. This type of research is based on experimental studies (results of literature studies), interviews, and direct observations of city environmental service officers, city government, and communities in the city of Makassar, South Sulawesi province, Indonesia [19].…”

“…The design information in Fig. 1 provides an overview of the anticipated procedures for obtaining data on population numbers and needs [18] [19]. Organic waste is used to determine primary data.…”

“…1) Data collection: Three thousand seventy-four photos totaled the information that was gathered and created. Organic waste can consist of coconut shells (cs) [23], sawdust (sd) [24], corncob (cc) [25], rice husk (rh) [26] and plant leaves (pl) [15]. The amount of information contained on the types of organic waste is shown in Table II.…”