Different types of site selection exploited by geographic information systems (GIS) by combining various types of data relate to the purpose of site selection. In reality, numerous factors including physical, environmental, and social factors affect the site selection in terms of deciding the location of a new industry. Accordingly, this paper conceives systems for determining new industrial zones in the form of web-based applications or ordinarily called web-based GIS. Thus, the application named the potential industrial zone smart systems, in which the prototype of the application is able to facilitate planning the determination of new industrial zone based on six parameters throughout the analytical hierarchy process method. The result weights of six criteria are soil type 35%, land use 32%, land slope 15%, the distance of land to river 9%, the distance of land from road and accessibility 5%, and the distance of land to public facilities 4%. Additionally, the web-based GIS is a user-friendly application to determine the planned industrial location. Further, the demonstration runs effortlessly in exhibiting data on the potential of new industrial zones in the city of Bekasi, West Java Province of Indonesia.

Industrial area is an infrastructure for the process of industrialization as a source that can trigger economic growth. Industrial areas that are structured and can support production operations are an appeal to foreign investors. However, the development of industrial areas requires careful planning because it impacts on the environmental carrying capacity and land loss. Therefore, industrial area development needs attention to a variety of important criteria as considerations in determining the location of an industrial area. This study aims to determine the criteria and measure the importance of each relative criterion to other criteria. The method used is Analytical Hierarchy Process (AHP). The results show that there are four important factors that need to be considered with each of the importance level, namely Infrastructure by 33.97%, Distance to Access by 31.74%, Land & Soil by 19.57%, and Production Factors by 14.72%. The four factors have ten important criteria that need to be considered in making decisions to determine the location of an industrial area where the two highest criteria are electricity infrastructure with a significance level of 19.05% and telecommunications infrastructure with an importance level of 14.92%.

Sawah tanaman padi di daerah utara Jawa Barat bagian utara merupakan salah satu lumbung padi nasional. Sumber pengairan atau irigasi tanaman padi bagian utara Jawa Barat sebagian besar bersumber dari aliran sungai citarum yang masuk ke waduk jatiluhur dan disalurkan dengan saluran irigasi ke daerah irigasi utara Jawa Barat. Pengelolaan distribusi air perlu memperhatikan prioritas lahan irigasi agar memperoleh hasil yang maksimal. Sistem Informasi Geografis (SIG) dapat berfungsi sebagai metode yang dapat digunakan untuk mengolah data yang berbasis spasial atau keruangan. Pendekatan SIG dan kebencanaan menjadi salah satu pendekatan yang dapat menjadi alternatif penentuan prioritas irigasi pada sawah padi. Musim kemarau di Indonesia sering mengakibatkan beberapa wilayah terjadi bencana kekeringan yang tidak terkecuali pada lahan sawah. Kekeringan juga mengakibatkan gagal panen yang menjadikan berkurangnya produksi padi di Indonesia. Pendekatan dan faktor bencana kekeringan dapat menjadi salah satu faktor pertimbangan dalam penentuan prioritas irigasi sehingga dapat memaksimalkan sistem irigasi. Hasil yang didapatkan dari penelitian ini adalah peta area prioritas irigasi di wilayah utara Jawa Barat. Hasil penelitian adalah diketahui prioritas pertama irigasi lahan sawah seluas 9.385,87 ha.

This study aimed to develop a spatial database design on transportation safety system. Spatial databases is a fundamental factor that is very important in the utilization of GIS for transportation, so it is important that a good preparation of spatial databases. Preparation of spatial database will be effective if tailored to the needs. Factors affecting transportation safety is different from one region to another. Factors that affect transportation safety system in an area can be influenced by the transportation system infrastructure in the area. Database design for transportation safety in this study is expected to be a model of the spatial database according to the highway transportation system in a small town in Indonesia. Characteristics of the transport system in Indonesia was largely dominated by private vehicles and less of public transport. Spatial analysis has the advantage to combine data and analyze various factors based on spatial location. Spatial data that can be used to support the analysis include the basic data, thematic data path, data that can be supporting the highway transportation system. Spatial data and GIS - T can be used as an analysis tool and alternative approach to improve road transport safety.

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