Judul: Pemetaan Tingkat Kerentanan Bencana Tsunami Menggunakan Sistem Informasi Geografis di Wilayah Pesisir Selatan Kabupaten Garut, Jawa Barat
Abstrak: Wilayah pesisir selatan Kabupaten Garut merupakan salah satu wilayah yang memiliki probabilitas terjadinya gempa bumi dan tsunami yang tinggi karena wilayahnya berhadapan langsung dengan pertemuan lempeng Indo-Australia, Megathrust Selat Sunda, dan Jawa bagian selatan. Penelitian ini bertujuan untuk mengidentifikasi dan memetakan tingkat kerentanan tsunami di wilayah pesisir selatan Kabupaten Garut, Jawa Barat. Peta kerentanan tsunami dibuat menggunakan metode tumpang susun (Overlay) dengan lima parameter, yaitu elevasi daratan, kemiringan lereng, jarak dari garis pantai, jarak dari sungai, dan penggunaan lahan. Penelitian yang mencakup wilayah 7 kecamatan ini terbagi dalam dua tahap yaitu tahap pengolahan data dan tahap survei lapang yang dilakukan pada tanggal 10 – 13 Januari 2022. Klasifikasi tingkat kerentanan tsunami dibagi menjadi lima kelas yaitu sangat rendah dengan luas wilayah sebesar 45.675,62 ha (14,89%), rendah dengan luas wilayah sebesar 206.241,16 ha (67,23%), menengah dengan luas wilayah sebesar 46.546,85 ha (15,17%), tinggi dengan memiliki luas wilayah sebesar 6.790,14 ha (2,21%), dan sangat tinggi dengan luas wilayah sebesar 1.497,17 ha (0,49%)., The southern coastal area of Garut Regency is one of the areas that has a high probability of an earthquake and tsunami because the area is directly opposite the meeting of the Indo-Australian plate, the Megathrust of the Sunda Strait, and the southern part of Java. This study aims to identify and map the level of tsunami vulnerability in the southern coastal area of Garut Regency, West Java. The tsunami vulnerability map was made using the Overlay method with five parameters, namely land elevation, slope, distance from the shoreline, distance from rivers, and land use. The research which covers 7 sub-districts is divided into two stages, namely the data processing stage and the field survey stage which was carried out on 10 – 13 January 2022. The classification of the tsunami vulnerability level is divided into five classes, namely very low with an area of 45,675.62 ha (14 .89%), low with an area of 206,241.16 ha (67.23%), medium with an area of 46,546.85 ha (15.17%), high with an area of 6,790.14 ha (2, 21%), and very high with an area of 1,497.17 ha (0.49%).
Keyword: coastal vulnerability, Garut Regency, GIS, tsunami

Judul: Pemetaan Tingkat Kerentanan Pantai Terhadap Bencana Tsunami di Wilayah Pantai Pangandaran, Jawa Barat
Abstrak: Indonesia are on the path of seismically active region and can cause a tsunami disaster. One of the area inIndonesia that is prone to tsunami disaster is Pangandaran Coast, West Java on southern coast of Java . One of the prime action in the tsunami disaster mitigation is to create a map of coastal vulnerability to the tsunami disaster. The research was conducted from April to December 2013 including three districts in Pangandaran. Analysis of tsunami vulnerability assessment was performed by using merger or overlay method with Geographic Information Systems (GIS). The parameters that used to analyze the vulnerability of tsunami is elevation, topography, landuse, coastal border, and the river banks. The vulnerability level is divided into five classes, that is very high, high, medium, low , and very low . From the entire area of research, Pananjung village, Babakan, Pangandaran (Pangandaran sub-district) and village Sukaresik and Cikembulan (Subdistrict Sidamulih) are the areas that have very high levels of tsunami vulnerability amounting to 737.703 ha. While the areas that have low vulnerability are Pagergunung Village, Putrapinggan, Kersaratu region with an area of 4816.204 hectare
Keyword: vulnerability, tsunami, GIS

Judul: Sintesis 3-Benzoil-7-hidroksiflavon dari Resorsinol
Abstrak: Flavonoid is the most abundant naturally-occuring polyphenolic compound with C6-C3-C6 carbon skeleton. Flavones is a group of flavonoid having a broad bioactivity spectrum. In this experiment, 3-benzoyl-7-hydoxyflavone was successfully synthesized via 2-steps from resorcinol. In the first step, resorcinol was acetylated with AcOH/ZnCl2 producing resacetophenone with 89% yield. Subsequently, benzoylation and rearrangement of resacetophenone using 2 equivalent of benzoyl chloride and 7 equivalent of K2CO3 in acetone produced 3-benzoyl-7-hydroxyflavone with 62% yield. Synthesis of 3-benzoyl-7-hydroxyflavone from resorcinol provided evidence for new reaction mechanism of flavon formation without Baker-Venkataraman rearrangement proposed by several previous researchers. All products in this study has been characterized spectroscopically.
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