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: Spatiotemporal Data Model Development on Hotspot Data with an Event-based Spatiotemporal Data Model (ESTDM) Concept
Abstrak: Hotspot data that has been existed all this time is still in the form of usual spatial data which is not enough to keep temporal information and information about how a hotspot evolved. There are so many disadvantages in keeping the hotspot data. Therefore a data model that can keep enough information to represent the hotspot evolution is needed, and also can handle the lack of keeping the previous hotspot data. An Event-based Spatiotemporal Data Model (ESTDM) concept is propose to overcome this problem. Appearance and disappearance process that occurs on hotspot will be used as base for spatiotemporal data model development on hotspot data. This research aims to implement an Event-based Spatiotemporal Data Model (ESTDM) concept into PostgreSQL. As a result, we can get the informations about spatial information and temporal information about geographical information changes to represent hotspot evolution from spatiotemporal query such as show hotspot that reappear after experience disappearance before. These queries make analyze a hotspot easier. The result of these queries can be visualized in a Indonesian map then with histories about period of appearance and disappearance of hotspot.
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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