Judul: Analisis Kelongsoran pada Ruas Jalan Raya Pangalengan Menggunakan Sistem Informasi Geografis
Abstrak: Kejadian longsor pada tanggal 5 Mei 2015 di Kecamatan Pangalengan menyebabkan pipa gas PT. Geothermal Star Energy meledak selain juga ada 9 korban yang meninggal, 154 orang mengungsi, dan 10 rumah tertimbun.Untuk itu perlu dilakukan upaya untuk pengurangan resiko bencana longsor. Tujuan dari penelitian ini yaitu mengidentifikasi potensi bencana longsor pada ruas Jalan Raya Pangalengan, dan menyusun rekomendasi tindakan mitigasi untuk pemerintah setempat. Analisis dilakukan dengan menggunakan 2 sistem model pendugaan bencana longsor yaitu DVMBG 2004 dan DVMBG 2005. Hasil analisis dengan DVMBG 2004 menunjukkan wilayah yang berpotensi longsor sangat tinggi mencapai 97.24% dan menurut hasil DVMBG 2005 wilayah yang berpotensi longsor tinggi mencapai 44.42% sedangkan yang berpotensi longsor sangat tinggi mencapai 53.26%. Potensi longor pada ruas Jalan Raya Pangalengan sebesar 98.37%. Tindakan mitigasi yang direkomendasikan yaitu pemotongan lereng, pembuatan dinding penahan tanah ataupun perencanaan saluran drainase.
Keyword: dinding penahan tanah, DVMBG, mitigasi

Judul: Landslide analysis in the Cisarua District Using Geographic Information System
Abstrak: Badan Nasional Penanggulangan Bencana (BNPB) menyebutkan bahwa telah terjadi bencana longsor di sepanjang bulan Desember 2014 terdapat 9 titik longsor dan pada 5 Februari 2018 kembali terjadi longsor yang terdapat di 22 titik yaitu di Desa Batulayang, Tugu Utara, Jogjoan dan Tugu Selatan. Secara topografi kontur tanah berada pada kemiringan yang curam, dengan intensitas curah hujan mencapai 575.1 mm/bulan sehingga dapat berpotensi longsor. Tujuan penelitian untuk mengidentifikasi kerawanan dan keakuratan titik lokasi longsor berdasarkan dua metode yang dikeluarkan oleh Direktorat Vulkanologi dan Mitigasi Bencana yaitu DVMBG 2004 dan DVMBG 2005. Penelitian ini menggunakan data penginderaan jauh dengan melakukan pembobotan terhadap parameter longsor. Kemudian memvalidasi data dengan titik kejadian longsor. Hasil analisis dengan DVMBG 2004 menunjukkan tahun 2014 dan 2018 klasifikasi rawan longsor mendominasi dengan persentase 82.54% dan 64.59%. Hasil analisis menggunakan DVMBG 2005 tahun 2014 dan 2018 klasifikasi rawan mendominasi potensi longsor dengan persentase 68.63% dan 84.61%. Pada model pendugaan longsor DVMBG 2004 terdapat 9 titik yang tidak tervalidasi. Sedangkan pada DVMBG 2005 seluruh titik kejadian tervalidasi sehingga model pendugaan longsor DVMBG 2005 sebagai metode yang di rekomendasi untuk pembuatan peta potensi kerawanan longsor. Kata kunci: DVMBG, keakuratan, longsor, titik lokasi, National Disaster Management Agency stated that there have been landslides throughout December 2014 there were 9 landslide points and on February 5 2018 another landslide occurred in 22 points, namely in Batulayang Village, North Tugu, Jogjoan and South Tugu. Topographically, the land contour is on a steep slope, with rainfall intensity reaching 575.1 mm/month. The purpose of this study is to identify the vulnerability and accuracy of landslide location points based on two methods issued by the Directorate of Volcanology and Disaster Mitigation, namely DVMBG 2004 and DVMBG 2005. This study uses remote sensing data by weighting landslide parameters. Then validate the data with the point of landslide occurrence. The results of the analysis with the 2004 DVMBG show that in 2014 and 2018 the landslide-prone classification dominated with a percentage of 82.54% and 64.59%, respectively. The results of the analysis using the 2005 DVMBG in 2014 and 2018 classification of hazard dominates the potential for landslides with a percentage of 68.63% and 84.61%, respectively. In the 2004 DVMBG landslide estimation model, there are 9 points that are not validated. Meanwhile, in the 2005 DVMBG all points of occurrence were validated. So the 2005 DVMBG landslide estimation model is the recommended method for making landslide hazard potential maps. Keywords: Accuracy, DVMBG, landslide, point location
Keyword: Accuracy, DVMBG, Landslide, Point location

Judul: Synthesis of Apatite - Chitosan Composite Using Duck Eggshell and Chitosan with Temperature and pH Control
Abstrak: Composite of apatite-chitosan was prepared by using chitosan as polymer matrix. Calcium phosphate was prepared from CaO and (NH4)2HPO4, which the ratio Ca : P had to be 1.67. Chitosan is produced by deacetilase from biopolymer chitin. Duck eggshell (95% CaCO3) as starting material was converted to be calcium oxide (CaO) through calcinations with temperature 1000oC for 5 hours. In-situ and ex-situ methods were prepared from apatite and chitosan (dissolved with acetate acid 2%). Calcium phosphate prepared for bone implantation, but it is too fragile and brittle to be implant into the body. So addition of chitosan can decrease crystalinity and increase mechanic characteristic (tougher). Composite apatite-chitosan was resulted by fast precipitation. Fast precipitation was held in a breaker glass with nitrogen atmosphere, under controlled temperature at 37oC and pH 7, in order to increase amount of hydroxyapatite. Precipitation with CaO which was dropped by (NH4)2HPO4. Hydroxyapatite and chitosan were appearing at samples with in-situ and ex-situ methods which indicating by peak matching of XRD (closed lattice parameter, crystal size), overlapping at FTIR spectra and supporting by SEM picture (homogenous and agglomerated particle). However, it still needs further research to examine biocompatibility osteoconductive degree of sample by in-vivo and in-vitro test.
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