Tanaman padi merupakan tanaman yang paling penting karena merupakan sumber makanan pokok masyarakat Indonesia. Pertumbuhan penduduk di Indonesia dan diikuti dengan tingkat produksi padi yang tidak merata tentu menjadi masalah serius bagi Indonesia dalam mencukupi kebutuhan pangan nasional. Informasi kebijakan pemerintah dalam pengembangan komoditas padi sangatlah penting karena komoditas ini memiliki peran penting dalam menjaga stabilitas kebutuhan pangan nasional. Badan Pusat Statistik adalah lembaga yang memiliki berbagai data sensus dan survei dalam ukuran yang sangat besar. Agar data tersebut dapat diolah menjadi informasi yang lebih bernilai dibutuhkan sebuah aplikasi business intelligence yang dapat memvisualisasikan data-data tersebut sehingga dapat menampilkan informasi daerah dengan produksi dan produktivitas padi yang tinggi maupun yang rendah. Pengelompokan data ini bertujuan untuk mempermudah pengguna dalam mendapatkan informasi mengenai produksi dan produktivitas tanaman padi di setiap daerah di Indonesia sehingga dapat menjadi acuan bagi Kementerian Pertanian dalam perumusan dan penetapan kebijakan di bidang penyediaan prasarana dan sarana pertanian, peningkatan produksi padi dan pertanian lainnya. Pada penelitian ini digunakan salah satu business intelligence software untuk dapat mengelompokkan data tanaman padi serta visualisasinya dalam bentuk informasi grafik dan peta kartogram area dengan metode Online Analytical Processing (OLAP).
Indonesia aims to strengthen its local regions and villages. This has led to the encouragement of smart village development through several forms of assistance, including Information Technology (IT) services from the government. Koto Gadang, one of the many Minangkabau customary villages in West Sumatra, has been used as a model for the development of an IT service that can support tourism known as a Web- and mobile-based geographic information system (GIS) for buildings (GB) in order to map and visualize buildings and their inhabitants. This paper reports the development of the GB. This study takes the form of a literature review, a survey, data collection, and software development. The results of the literature review and survey were used as the basis for software development. Aerial photographs of micro, small, and medium enterprises (MSMEs), mosques, offices, schools, and health service centers, as well as residential buildings, were taken using a drone, while attribute data were collected directly by visiting the buildings. The users of the GB were divided into two groups: visitors and village officers. Moreover, there confidentiality was maintained for all the data provided, so the visitors were only allowed to search for buildings (MSMEs, offices, mosques, schools, and health centers) based on certain criteria, view locations, found information, and survey routes, while village officers were allowed to collect data on residents, buildings, and houses, and also search people’s homes. Furthermore, in situations where a visitor needs to find a resident’s house, the village officers are required to provide this assistance. These provisions were applied in the GB and implemented using the PostgreSQL/PostGIS database, PHP, CSS Bootstrap, jQuery, and Basic4Android, created according to the needs of the Koto Gadang smart customary village. The GB allows the village officers to better understand and monitor all the buildings, houses, and residents in the village and could also encourage many travelers to visit and see historic buildings and shop for embroidery and silver crafts.
A whirlwind is a natural disaster with a relatively high incidence. In improving whirlwinddisaster mitigation preparedness, analysis of historical data of events is needed to minimize the possibility of losses. In this study, data analysis was carried out using the Online Analytical Processing (OLAP) method with the Zoho Reports application so that it can be known to the region prone to whirlwind and the time of occurrence to help those who have an importance in decision making. The results of the analysis are in the form of information displayed in graphical form from data on the occurrence of whirlwind in Indonesia in 2011-2014.
Some ASEAN countries, such as Malaysia and Thailand, have taken the initiative to use information technology (IT) to develop villages to realize Smart Village. Likewise, in Indonesia, one village in the province of West Sumatra, Indonesia, namely Nagari Koto Gadang, has begun to use IT in developing its community. This village is located in a strategic area that has the potential to change land use in the future. In the planning and development of a region's spatial layout, it is necessary to collect data on buildings contained in the area. Building data collection in Nagari Koto Gadang is still done using paper notes so that it is vulnerable to duplication or data input errors. Information regarding buildings in Nagari Koto Gadang can only be obtained at the village office during working hours by manually searching excel data. This information should be accessible anywhere and anytime. Therefore, we need a Web Geographic Information System (WebGIS) that can record and map buildings in Nagari Koto Gadang. The building consists of office buildings, health services, schools, mosques, Micro, Small and Medium Enterprises (MSMEs) and residents' settlement. With this WebGIS of buildings, the Nagari Koto Gadang government can display information on the availability or use of land that is useful for village planning and structuring. The WebGIS development of the Nagari Koto Gadang building consists of several stages, namely data collection, application development, and system testing. WebGIS of this building was implemented using PHP and JavaScript. The database used to store data was PostgreSQL/PostGIS. WebGIS of Nagari Koto Gadang building can be used to view, and search for information about office buildings, residential houses, and other buildings in Nagari Koto Gadang. The test results show that the functional of WebGIS of the building is following the needs of the government of Nagari Koto Gadang.
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