Tidal floods often occur in North Semarang Sub-District due to rising sea levels. One of the impacts is waste generation. Waste management is needed to prevent environmental degradation. An important factor is quantity of waste for the management plan. The purpose of this study to estimate waste generation from tidal floods. Scenario models are needed to find out the area affected because there is no existing data. Scenario data uses DEMNAS, land subsidence data, tidal data, and Sea Level Rise data. The Admiralty method is used to determine the Highest High Water Level (HHWL) value, the quantitative spatial method for the tidal flood scenario and the estimated quantity of waste. Calculation of the HHWL value of 1.16 m is added to the SLR data. The result of tidal flood height is 1.27 m. There are three affected villages (Panggung Lor, Bandarharjo, and Tanjungmas) and affected area is 55.95 Ha. The accuracy rate is 82.86% which is tested using Confusion Matrix. The results of the scenario model are arranged in a grid and then sampled. The estimated waste yield is 70,095.26 kg. The benefits of this data are to facilitate cleaning agent in waste management including cost and technical planning.

Perkembangan Kota Semarang yang cukup pesat membawa konsekuensi terjadinya alih fungsi lahan dari kawasan tidak terbangun menjadi kawasan terbangun. Penggunaan lahan merupakan cerminan aktivitas manusia terhadap lahan. Penggunaan lahan dapat dideteksi berdasarkan penutup lahannya. Bencana banjir terjadi karena pemanfaatan lahan yang tidak sesuai bagi peruntukannya. Perubahan penggunaan lahan mengakibatkan berubahnya limpasan air permukaan, yang dapat diketahui berdasarkan nilai koofisien aliran permukaan. Wilayah Sub DAS Garang dipilih sebagai lokasi penelitian karena merupakan wilayah Kota Semarang yang berpotensi rawan banjir. Penelitian ini bertujuan mengkaji pengaruh perubahan penggunaan lahan terhadap nilai koefisien aliran permukaan Sub DAS Garang di Kota Semarang sebagai upaya evaluasi Tata Ruang Kawasan Permukiman. Penelitian ini menggunakan metode deskriptif kuantitatif dan analisis spasial dengan memanfaatkan teknologi Sistem Informasi Geografis dan Remote Sensing (GIS/RS) pada sebagian besar analisisnya, serta qualitative content analysis pada sebagian kecil lainnya. Kesimpulan dari hasil penelitian adalah terjadi peningkatan nilai koefisien aliran permukaan Sub DAS Garang akibat perubahan penggunaan lahan. Berdasarkan penelitian ini dapat dirumuskan rekomendasi penggunaan lahan yang dapat meminimalisasai bencana banjir pada wilayah cakupan Sub DAS Garang dengan mempertimbangkan arahan Dokumen Rencana Tata Ruang Kota Semarang.

Disaster are becoming more frequent around the world and more intense in urban areas. Central Java is the province with the largest number of disasters in Indonesia. Disaster create amount of disaster waste and sometime very huge, many times comparing to daily municipal waste generation. Government and local citizen sometimes are unable to handling disaster waste. Since effective implementation of disaster waste management (DWM) will lead quick and better recovery of living and avoid more environmental risk, high level regional government such as provincial should help. To make effective support, it is important that provincial government develop a model to monitor disaster waste generation in each regency and cities. This study aims to develop basic framework of regional model for disaster waste estimation and distribution in provincial level. This study used Central Java Province as a case study. To estimate disaster waste in Central Java, this study developed an index system as a basic model. It is about basic comparison of disaster waste generation in all central java regencies or cities. Disaster waste is associated with total disaster events. This study utilized GIS tools to express model and system. This study developed of regional model disaster waste estimation in Central Java, divided by 3 sub decades. Study result shown that in first decade 1990-1999 the highest index of disaster waste estimation is Brebes Regency. Second decade 2000-2009 the highest index of disaster waste estimation is Semarang Regency and the third decade 2010-2018 the highest index of disaster waste estimation in Cilacap Regency.

The growth of infrastructure development is currently increasing rapidly in Indonesia. Beside government policy trough their procurement in national, provincial and local level, it is also driven by private sector and per capita as of economic growing and increasing population. In the process physical development, several mixture of material such as stone, cement, sand, demolition material are often left over and discharge. Today Indonesia government will issued construction and demolition waste guideline to make more green and environmental sound. One of the basic problem founded was concerning to the development of model to estimated then monitored construction generation in rural, urban or in a strategic region. Moreover, in the era of digital as known as revolution industry 4.0, an automatic system of monitoring, known as smart monitoring of the construction waste generation is very importance to build. The purpose of this study was to build regional model of smart construction monitoring in Indonesia. The basic method to build the regional model is by utilized an index approach, and combined by using GIS to build automatic information delivery system from rural, urban or region to the central system. This study is then choosed Central Java Province for more detail model development. The study founded 7 (seven) pattern of construction waste generation. The extreme condition founded in Grobogan, Purworejo and Kebumen at which for decade 2000-2014 the degree is waste generation always decrease. In Addition, In central Java Province, this study founded three characteristic of regional model of construction waste as follow: (1) Region with high level of construction waste degree; (2) region with moderate level of construction waste degree; and (3) region with low level of construction waste degree.

Recently, Intention to accelerate SGDs achievement and also mitigate climate change impact concerning to regional health, increasing significantly. One of the regional health issues for those is concerning to impcat of plastic waste. Event though plastic is one of the principal materials in the regional market and industry, but then plastic waste arise to be principal problem for regional environmental health indicators since they linked living from land to coastal and to oceans. Many tons of plastic from land accounted enter to costal and or ocean then attack to all living thinks. Moreover they may be able to return to the land as microplastic consumed by fish. Today, quick respond to manage plastic waste have a high assosiation with effort to manage green food cycle as of covering basic regional food and cereal cycle. This study goal is to provide basic model for regional plastic waste degree monitoring. The model is developed by using “online” population data from regional statistical data and number of public market. GIS tools is used to degree of plastic waste in spatial map. For detail, Central Java Provice was then selected for model assessment. To monitor the plastic waste generation in spatial pattern, online data population for year 1990, 2000, 2010, 2018 and number of traditional market was utilized. The study calculated that the highest degree of plastic waste generation with population-base approach for year 2018 is located in Brebes Regency with estimated 161.53 Ton per day. Semarang city contributed 160.04 Ton per day and total plastic waste generation in Central Java is estimated 3, 090.38. According to the public market location, this study founded that Surakarta, Semarang, Pekalongan and Tegal clasify as high degree of plastic waste ggeneration.