Judul: Deteksi Pencilan pada Data Titik Panas Menggunakan Clustering Berbasis Medoids
Abstrak: Forest fire is one of disasters which has a very adverse impact. Land and forest fires in Indonesia are caused by several factors, such as prolonged drought, human negligence and irresponsible parties who deliberately set fire to achieve certain goals. Hotspot is an indicator of forest fires. The purpose of this study is to detect outliers in hotspots in 2001 until 2012. Hotspot data were obtained from the NASA FIRM. The outlier detection was performed using medoid based clustering methods, namely PAM and CLARA. The result of PAM algorithm show that outliers occur in cluster k=17 with medoid 13,14,15,16 and 17. The result of CLARA algorithm show that outliers occur in cluster k = 19 with medoid 14,15,17 and 19. PAM and CLARA algorithm detect outliers in February, March, June, July and August. Clustering results are expected to assist the authorities in determining potential areas for forest fires prevention
Keyword: Bogor Agricultural University (IPB), outlier detection, hotspot, forest fires, k-medoids, clustering

Judul: Outlier detection on hotspot data in province riau using K-Means Clustering algorithm
Abstrak: Kebakaran hutan merupakan masalah yang selalu berulang di Provinsi Riau. Salah satu solusi dari masalah ini adalah memanfaatkan data titik api hasil penginderaan jarak jauh. Tujuan penelitian ini adalah mendeteksi pencilan yang terdapat pada data titik api di Provinsi Riau dari tahun 2001 hingga 2012. Deteksi pencilan dilakukan dengan menggunakan metode clustering k-means serta digunakan pendekatan pencilan global dan kolektif. Pada fungsi kmeans digunakan nilai k sebesar 10 sehingga dihasilkan nilai sum of squared error sebesar 18 526.14. Hasil menunjukkan bahwa berdasarkan pendekatan pencilan kolektif dideteksi pencilan titik api terdapat pada cluster 5, 7, dan 10. Di samping itu diperoleh 30 pencilan titik api berdasarkan pendekatan pencilan global. Kemunculan pencilan pada data titik api banyak terjadi pada bulan Februari, Maret, Juni, dan Agustus. Frekuensi pencilan titik api tertinggi terjadi pada tahun 2005 yaitu sebanyak 1118 titik api pada 21 Juni 2005. Adapun frekuensi pencilan titik api terkecil yaitu sebanyak 295 titik api pada tahun 2005 dan rata-rata frekuensi pencilan titik api sebesar 482.22., Forest fire is considered as periodic event in several areas in Indonesia including in Riau Province. One of solutions in fire prevention is analyzing hostpot occurrences data that are produced by remote sensing technology The objective of this research is to detect outliers on hotspot data in Riau Province for the period 2001 to 2012. Outlier detection was done using the clustering k-means algorithm, and use a approach global outliers and collective outlier. The best clustering result was selected on the number of cluster 10 and the sum of squared error value is 18526.14. The results showed that based on a collective outlier approach, the outliers were obtained on cluster 5, 7 and 10. In addition, 30 outliers on hotspot data were detected based on the global outlier approach. The outliers on the hotspot data were mostly occurred in February, March, June, and August. The highest frequency of outliers occurred in 2005 reach 1118 hotspots on 21 June 2005. While the lowest frequency of outliers is 295 in 2005 and the average frequency of outliers is 482.22. Keywords: clustering, hotspot, k-means, outlier, riau
Keyword: clustering, k-means, pencilan, Riau, titik api

Judul: Hydroxyapatite-Chitosan Composite Coating on Stainless Steel 316 to Improve Corrosion Resistance
Abstrak: Metals that were used in bone implantation should have good corrosion resistance that were not easily corroded when implanted into the body. Metal corrosion resistance of stainless steel 316 can be enhanced through the metal coating by hydroxyapatite-chitosan composite with composition ratio of hydroxyapatite (gram) and chitosan 3% (mL) 0.2:0, 0.2:0.1, 0.2:0.5, 0.2:1.0, and 0.2:1.5. Besides improving the corrosion resistance of metal, the presence of chitosan also maintain the position of hydroxyapatite on metal surfaces. Corrosion resistance increases with increasing amount of chitosan added and the best composition of hydroxyapatite-chitosan composite was 0.2:1.0.
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