Judul: Side Scan Sonar Data Quantification for Seabed Classification in Yos Sudarso Bay, Jayapura
Abstrak: Side scan sonar (SSS) adalah instrumen yang digunakan dalam survei untuk melakukan pencitraan dasar laut. SSS mampu menunjukkan gambar dua dimensional permukaan dasar laut dengan kondisi kontur, topografi, dan target secara bersamaan. Instrumen ini mampu membedakan besar kecil partikel penyusun dasar laut seperti batuan, pasir, atau tipe-tipe lainnya, selain itu kegunaan teknologi ini adalah mendeteksi keberadaan pipa dan kabel laut, mendeteksi struktur dangkal dasar laut, pengerukan, studi lingkungan, kemiliteran, arkeologi, perikanan, dan pertambangan. Penelitian ini bertujuan mengidentifikasi dan menginterpretasi visual dasar laut di wilayah Teluk Yos Sudarso, Jayapura menggunakan instrumen SSS, menentukan nilai hamburbalik (dB) dan amplitudo (mV) substrat dasar laut, serta melakukan komputasi dengan continuous wavelet transform (CWT). Pemrosesan data dilakukan koreksi radiometrik (BAC, AGC) dan geometrik (bottom tracking) dengan software SonarWiz 7. Pengonversian data menggunakan XtfToSegy, ekspor nilai amplitudo dengan SeiSee, sortir data amplitudo menggunakan Ms. Excel, lalu penampilan grafik hubungan amplitudo dan waktu serta CWT menggunakan Matlab. Hasil dari pendeteksian dasar laut diperoleh target berupa tiga pasir dan satu karang. Hasil perhitungan nilai amplitudo pasir 1 sebesar 4319 – 30976 mV dengan nilai habur balik -17.10 dB. Nilai amplitudo pasir 2 sebesar 1411 – 12288 mV dengan nilai habur balik -18.78 dB. Nilai amplitudo pasir 3 sebesar 1391.625 – 12032 mV dengan nilai habur balik 18.70 dB. Nilai amplitudo karang sebesar 24960– 32640 mV dengan nilai habur balik -2.30 dB. Hasil analisis CWT menunjukkan energi dari karang berwarna kuning menunjukkan objek yang lebih kasar dan keras, energi yang dihasilkan dari pasir berwarna biru yang menunjukkan objek tersebut memiliki karakteristik yang halus dan tidak keras., Side scan sonar (SSS) is an instrument that usually used in surveys to perform seabed imaging. SSS is able to show two-dimensional images of seabed load with contour, topographic, and target conditions simultaneously. This instance is capable of distinguishing particles of seabed compilers such as rocks, sand, or other types, in addition the usefulness of this technology are to detect the existence of marine pipes and cables, shallow structures of seabed, dredge, environmental studies, military, archcology, fisheries, and mining. The aims of this research are identify and interpretate the seabed in the Yos Sudarso Bay, Jayapura visually using SSS, to determine the backscatter (dB) and amplitude (mV) of the seabed substrate, and to do computations with continuous wavelet transform (CWT). Processing data is performed by radiometric (BAC, AGC) and geometric (bottom tracking) corrections using SonarWiz 7. Data is converted by XtfToSegy, amplitude values is exported by SeiSee, amplitude data is sorted by Ms. Excel, and displaying relation graph of amplitude, time, and CWT using Matlab. The results of seabed detection is there are three sands and one coral targets. The amplitude value of sand 1 is 4319 - 30976 mV and the value of the backscatter is -17.10 dB. The amplitude value of sand 2 is 1411 - 12288 mV and the value of the backscatter is -18.79 dB. The amplitude value of sand 3 is 1391.625 - 12032 mV and the value of the backscatter is -18.70 dB. Coral amplitude value is 24960 - 32640 mV and the value of the backscatter is -2.30
Keyword: amplitude, backscatter, continuous wavelet transform, side scan sonar

Judul: Deteksi dan Klasifikasi Dasar Laut Menggunakan Instrumen Side scan sonar
Abstrak: Side scan sonar is an underwater acoustic instrument that is capable for displaying the image of the seafloor and discriminate between large and small particles of the sea floor. This study aims to classify types of seafloor and measure seafloor backscatter values using side scan sonar. This study also use two different types of side scan sonar in two places to get more variant seafloor. Side scan sonar data of Klein System 3000 with a frequency of 500 kHz is taken in the Jakarta Bay and Data of Edgetech 4200 with a frequency of 300 kHz is taken in the Sunda Strait. Both the data side scan sonar processed using software Sonarweb and Sonarpro to display the image of the sea floor, and use Seisee to extract sediment backscatter values. Results of sea floor imagery in Jakarta Bay found the target in the form of mud, mud with excavation, and a shipwreck. Mosaic Klein System 3000 in Jakarta Bay seafloor show a dominant of mud. Extraction of backscatter obtained smallest value is mud -26.33 dB, mud with excavation -23.84 dB and the highest is shipwrecks -6.23 dB. Results seabed imagery found the target in the Sunda Strait seabed is mud, sand, biogenic sand, and a shipwreck. Seafloor in the Sunda Strait shows dominant of sand. Backscatter obtained smallest value is mud -14.25 dB , sand -12.22 dB, biogenic sand -13.56 dB , and shipwreck -4.20 dB.
Keyword: backscatter, Klein System 3000, Edgetech 4200, sediment

Judul: Prenilasi Senyawa β-Diketon sebagai Prekursor 3-Prenilflavon
Abstrak: One group of flavonoids that has not been commonly synthesized is 3- prenylflavone. The main objective of this experiment was to synthesize precursor of 3-prenylflavone. Firstly, β-diketone was synthesized via 4 steps from phenol as starting compound with total yield of 24%. Prenylation of β-diketone with prenyl bromide and K2CO3 base produced 4 fractions which were separated by using preparative thin layer chromatography (PTLC) with n-hexane:EtOAc (8:2) as the eluent. Fraction with Rf = 0.80 was further separated by using preparative PTLC with n-hexane:EtOAc (99:1) as the eluent. Two fractions were obtained with Rf = 0.38 and 0.42. The first fraction has been characterized as diprenylated β-diketone with 49% yield. Application of protecting group on the phenolic OH group in β- diketone are needed to obtain monoprenylated β-diketone which can be further cyclized into 3-prenylflavone
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