Judul: Spatial Outlier Detection On Bogor City Regional Election Data Based On Polling Center.
Abstrak: Spatial outlier is a local instability (in values of non-spatial attributes) or a spatially referenced object whose non-spatial attributes are significantly different from the object surrounding it, even though the attributes may not significantly different from the entire population. Detecting spatial outlier is very useful in the application of geographic information system as well as in the spatial data base. This research focuses on the spatial outlier on Bogor City Regional Election Data in the 2008 election. Before starting the spatial outlier detection, the spatial outlier model was done visually by using an equal interval and natural breaks methods. This research uses the iterative ratio and iterative z-value algorithm. Both algorithms uses an iterative process. With this iterative process done by both algorithm, the falsity of a spatial outlier detection can be minimized. One example algorithm that potentially make a false detection is Moran scatterplot. For each iteration, there will be one detected spatial outlier. To determine a spatial outlier, a comparison function is used. On iterative ratio algorithm, a comparison function used is ratio function. On iterative z-value algorithm, a comparison function used is the gap function which is later normalized. A polling center’s data is said to be a spatial outlier if its value out of a comparison function exceeds the threshold. Threshold used in this research is 3, it means that number of spatial outlier detected is 2% - 5% from total data. Based on the research done, the result being detected as the spatial outlier use in iterative ratio and iterative z-value algorithm owns the difference in the detection amount. Iterative ratio and iterative z-value algorithm can also reduce a false detection which is done by Moran scatterplot. Keywords : spatial outlier, iterative z-value algorithm, iterative ratio algorithm.
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Judul: Spatial Outlier Detection Berdasarkan Poligon Desa Pada Data Pemilihan Walikota Bogor
Abstrak: Spatial outlier detection is a technique which is used in spatial data mining for detecting outlier based on spatial dimension. This research is used for examining some outlier data by using PILWALKOT (The Mayor Election) of Bogor in 2008. Outlier is a research that diverges from other research and it is caused a suspicion that comes from the distribution of difference data in the research. A county called outlier if it is include into outlier list in Naïve Algorithm. Naïve Algorithm is an algorithm which is used for detecting spatial order in Bogor county data which is based on special functions. This research also compares the result into 3 methods, by using statistic Z-Value approach, division class with Equal Interval and Natural Breaks classification method and Naïve algorithm. Naïve algorithm shows the result which is got by using Z-Value and classification method shows some equal result. By using Z-Value approach, the result which is got for the first (1st), second (2nd), and fourth (4th) candidate and it is used in three outlier regions while the third (3rd) and fifth (5th) is used in four outlier regions. In the division class using classification method, there is a presumption that Equal Interval method is better than it. It also happens in some results which are using Naïve algorithm where is had some equal results with two previous methods.
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Judul: Kekuatan Tiga Tipe Sambungan Kayu Merbau pada Lunas Luar Kapal Ikan
Abstrak: Kapal kayu terdiri dari bagian-bagian yang merupakan satu kesatuan utuh. Bagian-bagian tersebut tidak dapat dipisahkan karena antara satu bagian dengan bagian yang lainnya saling menunjang. Diantara bagian-bagian tersebut, terdapat safu bagian yang merupakan dasar penunjang dari bagian-bagian yang lain pada kapal~ yaitu lunas. Lunas merupakan bagian dilsar pada kap~ awal dari pembangunan sebuah kapal yang juga berperan sebagai tulang punggung kapal. Lunas merupakan tempat menempelnya kerangka lambung atau gading-gading. Lunas juga berfungsi sebagai penyangga badan kapal dan mnatan yang berada di dalam kapal~ Beban yang disangga oleh lunas tergantung dilri besar kapal dan berat muatan yang dibawa oleli kapaL OIeh karena itu, material lunas harus terbnat dari kayu yang kuat, agar pada saat muatan kapal penuh, lUnas mampu menyangga beban dan kapaI tidak mengalami kerusakan. Menurut BKI (1989) kayu material lunas harus termasuk dalam kelompok kayu kelas kuat satu atan di.Ja. Lunas dipasang secara horizontaI searah panjang kap~ oleh karena itu, seIain kuat, lunas juga hams terbuat dari kayu yang panjang. Saat ini terdapat kesulitan untuk mencari kayu yang panjang karena semakin berkurangnya pohon-pohon tinggi di liutan. Siilitnya mencari kayu yang panjang menyebabkan funas kapal tidak seIalu terdiri dari satu batang kayu utuli yang panjang, tetapi juga terdiri diIri dua batang kayu sejenis yang disambung dengan sambungan. Sambungan yang digunakan pada lUnas kapaI harusIah sambungan yang kuat, agar lunas tetap mampu menyangga beban kapal dan muatan kapal.
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