Judul: Peta Rawan Longsor di Wilayah Bogor
Abstrak: Longsor dapat menjadi bencana yang menimbulkan korban jiwa dan kerusakan harta benda, oleh karena itu dibutuhkan informasi sebaran area rawan longsor. Informasi sebaran areal rawan longsor umumnya disajikan dalam bentuk peta wilayah rawan longsor, dan terdapat metode-metode pemetaan wilayah rawan longsor yang menggunakan pendekatan pemetaan yang berbeda. Penelitian ini bertujuan untuk mengetahui keandalan hasil pemetaan area rawan longsor di wilayah Bogor dengan metode Paimin et al. (2006) yang dimodifikasi. Keandalan metode ini dievaluasi menggunakan data kejadian longsor selama tahun 2015 – 2019 di wilayah Bogor dan perbandingan dengan peta Zona Kerentanan Gerakan Tanah (ZKGT) (PVMBG 2016). Hasil penelitian ini menunjukkan bahwa metode pemetaan Paimin et al. (2006) menunjukkan sebagian besar wilayah Kabupaten Bogor dan Kota Bogor berada dalam kategori “Agak Rentan” masing-masing 71% dan 92% luas wilayah Kabupaten dan Kota Bogor. Selain itu, Peta Rawan Longsor metode Paimin et al. (2006) yang dimodifikasi dianggap lebih andal dibanding Peta ZKGT (PVMBG 2016) yang ditunjukkan dengan kesesuaiannya dengan jumlah kejadian longsor periode 2015 – 2019. Hal ini diduga akibat adanya perbedaan jumlah dan jenis parameter yang digunakan., Landslide can be a disaster that inflict casualties and property damage. Therefore, an information of landslide-prone areas is needed. Generally, informations about the landslide-prone areas is usually available in the form of Landslide-prone Area Map and there are some mapping methods that use different approach. This research aims to know the reliability of mapping landslide-prone areas in the Bogor region using modified method of Paimin et al. (2006). To evaluate the reliability of this method, landslide records from 2015 - 2019 in Bogor area as well as Peta Zona Kerentanan Gerakan Tanah (PVMBG 2016) were used as the comparative map. The results using method of modified Paimin et al. (2006) shows the majority of Bogor region is in “Agak Rentan” category, with 71% for Bogor Regency and 92% for Bogor City. Also, the map with modified method of Paimin et al. (2006) is considerd more reliable than Peta ZKGT (PVMBG 2016) which shown by its match with landslide records from year 2015 – 2019. This though to be the results of different numbers and types of parameters that employed between modified method of Paimin et al. (2006) and Peta ZKGT (PVMBG 2016).
Keyword: Bogor, Landslide Disaster, Landslide-prone Area, Mapping

Judul: Mapping of Landslide-Vulnerability Areas in Sukajaya  District, Bogor Regency
Abstrak: Longsor dapat menyebabkan bencana yang menyebabkan kerugian material maupun immaterial. Risiko dan dampak bencana longsor dapat diminimalisir dengan berbagai upaya mitigasi bencana longsor. Salah satu upaya mitigasi bencana longsor adalah pembuatan peta wilayah rawan longsor. Peta wilayah rawan longsor berupa Peta Zona Kerentanan Gerakan Tanah (ZKGT) sudah tersedia dalam skala 1:100 000 yang diterbitkan oleh Pusat Vulkanologi dan Mitigasi Bencana Geologi (PVMBG). Peta ZKGT skala 1:100 000 belum cukup menggambarkan area rawan longsor untuk skala kecamatan, sehingga diperlukan peta skala lebih besar untuk skala kecamatan. Penelitian ini bertujuan memetakan wilayah rawan longsor di Kecamata Sukajaya menggunakan pendekatan klasifikasi Resiko Bencana Indonesia (RBI), Badan Nasional Penanggulangan Bencana (BNPB) 2016 yang dimodifikasi dengan menambahkan parameter tutupan lahan. Keandalan peta dievaluasi menggunakan data kejadian longsor di Kecamatan Sukajaya pada tahun 2020 dan membandingkannya dengan Peta ZKGT PVMBG. Hasil pemetaan area rawan longsor RBI BNPB – Modif menunjukkan 75,4% wilayah Kecamatan Sukajaya memiliki tingkat kerawanan tinggi terhadap longsor. Evaluasi keandalan peta membuktikan bahwa Peta Area Rawan Longsor RBI BNPB–Modif untuk Kecamatan Sukajaya lebih andal dibandingkan Peta ZKGT PVMBG., Landslides potentially lead in disasters that result in both material and immaterial damages. Reducing damages from landslides can be accomplished through a variety of mitigation measures, one of which is the development of a landslide-venerability areas map. The Center for Volcanology and Geological Hazard Mitigation (PVMBG) has issued a map showing landslide venerability areas in the form of a Land Movement Vulnerability Zone (ZKGT) Map, scale 1:100 000. The ZKGT map at that scale is less sufficient to describe landslide venerability areas at the dstrict scale. Therefore, a larger map scale is required. The purpose of this study is to map landslide venerability areas in Sukajaya District, Bogor Regency utilizing the Indonesian Disaster Risk Mapping (RBI) approach of National Disaster Management Agency's (BNPB) 2016, which has been modified to include land cover data. The map's reliability was determined by comparing it to landslide events in Sukajaya District in 2020 and the ZKGT PVMBG Map. The results of the Modified RBI-BNPB–mapping of landslide vulnerability areas indicate that 75.4 percent of the Sukajaya District area is highly vulnerable to landslides, and the Modified RBI BNPB Landslide Map is more reliable than the ZKGT PVMBG Map.
Keyword: Sukajaya, landslide, disaster mitigation, mapping

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.
Keyword: