Judul: Pembangunan Spatiotemporal Data Model pada Tipe Data Vektor dengan Konsep Event-based Spatiotemporal Data Model (ESTDM)
Abstrak: Spatiotemporal data are spatial data with well-defined spatial, area, and location information, as well as temporal attribute (time). Various types of changes to the spatiotemporal data require a data model to store this information. This research constructed a data model for spatiotemporal data with event-based spatiotemporal data model (ESTDM) concept that can store the cause of spatiotemporal data changes, type of changes, and action of changes conducted by spatial objects. The used data were land surface area in Indonesia in 1994 and 2001 in the form of polygon vector data. The data were processed by the ESTDM concept in order to produce an appropriate data model that can provide the necessary information with spatiotemporal query analysis. There were eight spatiotemporal queries that were used to analyze the object changes, in the form of contain, overlap, and coveredby. It was found that the application of event-based spatiotemporal data model concept on the polygon data type requires a more diverse type of data in terms of spatial changes and longer observation time. Other spatiotemporal queries may be used to improve the proposed data model.
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Judul: Implementasi Operator Temporal dan Spasial pada Data Spatiotemporal
Abstrak: The spatio-temporal data models and query languages have received much attention in the database research community because of their practical importance and the interesting technical challenges they pose. The previous research has successfully implemented temporal and spatial operator to retrieve specific information of spatio-temporal data, but only an example data was used. In this research, the implementation of the temporal and spatial operator using real data was shown. There were two data used, namely the land cover data in Kalimantan island from 2000-2009, and land use data in some region of Indonesia from 1994 and 2001. The research complexity increased because of the different attributes of real data as compared with example data. The method in this research consist of data preprossesing, temporal operator implementation, spatial operator implementation, spatio-temporal operator implementation, and testing. The preprocessing include data cleaning, and data model transformation. The temporal operator used in this research were history, after, before, when, between, first, last and past. Meanwhile, the spatial operator used were intersection, equal, touches, cover, coveredby, distance, overlap, contain and within. The result showed that the spatio-temporal operator can produce a more spesific information retrieval rather than that without using spatio-temporal query. The research also verified that spatio-temporal operator can be used in real problems
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Judul: Karakteristik Bubur Rumput Laut Kappaphycus alvarezii dan Halimeda opuntia sebagai Bahan Baku Sabun Wajah (Facial Wash).
Abstrak: Sabun wajah adalah sediaan kosmetika berbentuk emulsi untuk membersihkan wajah dari kotoran maupun sisa tata rias yang larut air dan minyak secara efisien. Rumput laut Kappaphycus alvarezii dan Halimeda opuntia merupakan bahan baku yang berpotensi untuk dijadikan sabun wajah. Tujuan penelitian ini yaitu menentukan (1) rasio bubur rumput laut K.alvarezii dan H.opuntia terbaik (2) karakteristik sabun wajah rumput laut. Karakteristik bubur rumput laut dan sabun wajah diolah menggunakan metode rancangan acak lengkap (RAL). Rasio bubur K.alvarezii dan H.opuntia terbaik yaitu 1:1 dengan karakteristik yaitu nilai IC50 sebesar 72.85 ppm ; pH 7.33±0.01; kadar air 86.85±0.056 ; viskositas 2 936.33±0,00 dan juga memiliki senyawa aktif alkaloid, flavonoid dan saponin. Sabun wajah rumput laut memiliki karakteristik yaitu pH 7.2 ; tinggi busa 5-10 mL/10menit dengan keadaan stabil, daya sebar 6.1 cm ; nilai IC50 sebesar 93.625 ppm, viskositas 4 392 cP ; nilai angka lempeng total sebesar 2x101 koloni/gram.
Keyword: kosmetik, pembersih kulit wajah, senyawa aktif