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Abstrak :
[ABSTRAK
Lapangan-X merupakan lapangan gas di Cekungan Kutai yang dikembangkan sejak tahun 1986. Reservoar lapangan-X merupakan endapan delta Miosen akhir yang berlapis, dimana dikarakterisasikan oleh formasi yang didominasi oleh lempung. Perselingan antara batupasir dan batuserpih menghasilkan heterogenitas porositas yang cukup tinggi. Salah satu metode yang efektif dalam mengatasi tingkat heterogenitas yang tinggi adalah dengan metode Artificial Neural Network (ANN). ANN menggunakan algoritma Probabilistic Neural Network (PNN) mampu mendiskriminasikan daerah yang memiliki sebaran porositas yang tinggi dan rendah dengan baik pada zona Fresh Water Sand (FWS) lapangan-X dibanding dengan metode Multiatribut linier yang cenderung merupakan nilai sebaran porositas rata-rata. Nilai korelasi hasil prediksi terhadap target menggunakan metode PNN mencapai 0.8610 dengan rata-rata kesalahan (average error) sebesar 0.0283, sementara nilai korelasi hasil metode Multiatribut linier hanya sebesar 0.7098 dengan rata-rata kesalahan (average error) sebesar 0.0398. Hasil PNN pada sayatan waktu +10 ms dari horizon FS33 berhasil mengkarakterisasikan sebaran porositas batupasir yang bersih dari lempung di bagian selatan daerah penelitian, dimana fasies pengendapan batupasir tersebut diinterpretasikan berasal dari dataran delta. Sementara sayatan waktu -10 ms dari horizon FS42, menunjukan sebaran porositas batugamping dengan fasies pengendapannya diinterpretasikan berasal dari lingkungan neritik (shelf). Dari penelitian ini, dapat disimpulkan bahwa metode PNN berhasil menggambarkan sebaran porositas batuan di zona Fresh Water Sand (FWS) lapangan-X dengan baik sehingga hasil prediksi penyebaran yang dilakukan mampu mendekati data- data sumuran.

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ABSTRACT
X-field is a gas field in Kutai Basin and it has been developed since 1986. Reservoir of X-field is a multi layered upper Miocene deltaic deposits and characterized by a shaly formation. A highly intercalation between sand & shale unit in X-field has been contributed to the heterogeneity of porosity in the area. One of the effective methods to spatially quantify such heterogeneity of porosity is by using Artificial Neural Networks (ANN). ANN with Probability Neural Network (PNN) algorithm has been successfully retained more dynamic range, high and low frequency porosity content, compare to the Multiattributes linear which is tend to show a smoothed, or more averaged prediction. The correlation value from PNN methods can be up to 0.8610 with average error is 0.0283, while correlation value from Multiattribute linear only up to 0.7098 with average error is 0.0398. The time slice of PNN result at +10ms from horizon FS33 has been clearly figured out an accumulation of high porosity in the southern area of the interval target which is indicated as a clean sand lithology based on sensitivity analysis. And such accumulation has formed a distributaries channel trend which is interpreted as delta plain deposits. Meanwhile, the time slice of PNN result at - 10 ms from horizon FS42 has indicated a carbonate lithology which is interpreted as shelf deposits. From this study, it?s concluded that PNN algorithm as a nonlinear function has been successfully showed a better porosity distribution in the Fresh Water Sand (FWS) zone of X-field.;X-field is a gas field in Kutai Basin and it has been developed since 1986. Reservoir of X-field is a multi layered upper Miocene deltaic deposits and characterized by a shaly formation. A highly intercalation between sand & shale unit in X-field has been contributed to the heterogeneity of porosity in the area. One of the effective methods to spatially quantify such heterogeneity of porosity is by using Artificial Neural Networks (ANN). ANN with Probability Neural Network (PNN) algorithm has been successfully retained more dynamic range, high and low frequency porosity content, compare to the Multiattributes linear which is tend to show a smoothed, or more averaged prediction. The correlation value from PNN methods can be up to 0.8610 with average error is 0.0283, while correlation value from Multiattribute linear only up to 0.7098 with average error is 0.0398. The time slice of PNN result at +10ms from horizon FS33 has been clearly figured out an accumulation of high porosity in the southern area of the interval target which is indicated as a clean sand lithology based on sensitivity analysis. And such accumulation has formed a distributaries channel trend which is interpreted as delta plain deposits. Meanwhile, the time slice of PNN result at - 10 ms from horizon FS42 has indicated a carbonate lithology which is interpreted as shelf deposits. From this study, it?s concluded that PNN algorithm as a nonlinear function has been successfully showed a better porosity distribution in the Fresh Water Sand (FWS) zone of X-field.;X-field is a gas field in Kutai Basin and it has been developed since 1986. Reservoir of X-field is a multi layered upper Miocene deltaic deposits and characterized by a shaly formation. A highly intercalation between sand & shale unit in X-field has been contributed to the heterogeneity of porosity in the area. One of the effective methods to spatially quantify such heterogeneity of porosity is by using Artificial Neural Networks (ANN). ANN with Probability Neural Network (PNN) algorithm has been successfully retained more dynamic range, high and low frequency porosity content, compare to the Multiattributes linear which is tend to show a smoothed, or more averaged prediction. The correlation value from PNN methods can be up to 0.8610 with average error is 0.0283, while correlation value from Multiattribute linear only up to 0.7098 with average error is 0.0398. The time slice of PNN result at +10ms from horizon FS33 has been clearly figured out an accumulation of high porosity in the southern area of the interval target which is indicated as a clean sand lithology based on sensitivity analysis. And such accumulation has formed a distributaries channel trend which is interpreted as delta plain deposits. Meanwhile, the time slice of PNN result at - 10 ms from horizon FS42 has indicated a carbonate lithology which is interpreted as shelf deposits. From this study, it’s concluded that PNN algorithm as a nonlinear function has been successfully showed a better porosity distribution in the Fresh Water Sand (FWS) zone of X-field., X-field is a gas field in Kutai Basin and it has been developed since 1986. Reservoir of X-field is a multi layered upper Miocene deltaic deposits and characterized by a shaly formation. A highly intercalation between sand & shale unit in X-field has been contributed to the heterogeneity of porosity in the area. One of the effective methods to spatially quantify such heterogeneity of porosity is by using Artificial Neural Networks (ANN). ANN with Probability Neural Network (PNN) algorithm has been successfully retained more dynamic range, high and low frequency porosity content, compare to the Multiattributes linear which is tend to show a smoothed, or more averaged prediction. The correlation value from PNN methods can be up to 0.8610 with average error is 0.0283, while correlation value from Multiattribute linear only up to 0.7098 with average error is 0.0398. The time slice of PNN result at +10ms from horizon FS33 has been clearly figured out an accumulation of high porosity in the southern area of the interval target which is indicated as a clean sand lithology based on sensitivity analysis. And such accumulation has formed a distributaries channel trend which is interpreted as delta plain deposits. Meanwhile, the time slice of PNN result at - 10 ms from horizon FS42 has indicated a carbonate lithology which is interpreted as shelf deposits. From this study, it’s concluded that PNN algorithm as a nonlinear function has been successfully showed a better porosity distribution in the Fresh Water Sand (FWS) zone of X-field.]

Abstrak :
Analisis petrofisika dilakukan untuk mendapatkan parameter-parameter petrofisika seperti kandungan lempung, porositas dan saturasi air, yang berguna untuk karakterisasi batuan reservoar. Berdasarkan data sumur 17 dan 50, Reservoar yang akan diteliti berada pada kedalaman 3328.50 hingga 3469 feet yang merupakan formasi missisauga tengah yang batuannya didominasi oleh batuan pasir. Dari perhitungan analisis petrofisika, didapatkan nilai kandungan lempung berkisar antara 13%-36%, porositas berkisar antara 16%-23% dan saturasi air berkisar antara 39%-53%. Analisis petrofisika hanya mampu memberikan informasi tentang karakter reservoar secara vertikal. Untuk itu itu perlu dilakukan analisis multiatribut seismik. Dengan analisis mulitatribut seismik persebaran parameter petrofisika seperti kandungan lempung, porositas dan saturasi air pada volum seismik bisa didapatkan. Atribut yang digunakan adalah sampled-based attributes dan inversi seismik sebagai eksternal atribut. Penggunaan Neural network dapat meningkatkan korelasi antara nilai log prediksi dengan nilai log sebenarnya hingga mencapai nilai 0.98.

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Analysis petrophysical result can provide vertical information about the character of the reservoir. However, this method lacking in the horizontal resolution. so we can provide 3D information from analysis multiatribut. Shaly sand rock in Norwegia field is an area that has potential as a reservoir. Petrophysical parameters that will be studied in this thesis, such as clay content, porosity and water saturation. From the petrophysical analysis calculation , the value obtained clay content ranged from 13%-36%, porosity ranged from 16%-23% and a water saturation ranged from 39%-53%. Petrophysical parameters throughout the seismic volume will be predicted using multiatribut analysis. Linear sparse spike inversion results will be used as an external atribute on multiatribut analysis. The use of Neural Network aims to improve the correlation between the log predictive value with the actual value . Results from the log input will be spread throughout the seismic volume to get a pseudo volume.

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ABSTRAK
Di daerah penelitian dan sekitarnya, reservoir karbonat pada Formasi Kujung adalah salah satu target eksplorasi. Salah satu syarat batuan karbonat sebagai reservoir yaitu harus mempunyai porositas dan permeabilitas yang baik agar mampu menyimpan dan mengalirkan hidrokarbon. Semakin besar angka porositas berarti pori-pori di dalam batuan tersebut semakin banyak, selain itu pori-pori yang saling terkoneksi akan meningkatkan permeabilitas batuan. Pengetahuan dan pemahaman mengenai porositas pada batuan karbonat dan penyebarannya sangat penting dalam eksplorasi. Pada penelitian ini dilakukan indentifikasi sebaran porositas Formasi Kujung I dengan metode penerapan aplikasi atribut pada data seismik 3D yang meliputi inversi, anttrack serta spectral decomposition. Berdasarkan penerapan atribut seismik tersebut, disimpulkan bahwa pada zona target porositas berkembang baik, selain itu ditemukan adanya fenomena low frequency shadow zone yang dapat digunakan sebagai indicator hidrokarbon pada zona target tersebut. Dengan adanya dua parameter yaitu porositas serta indikator hidrokarbon, pada penelitian ini dapat disimpulkan bahwa zona target sangat potensial sebagai reservoar yang mengandung hidrokarbon dan dapat dikembangkan sebagai target eksplorasi.

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ABSTRACT
Study area and its surroundings, carbonate reservoir of Kujung Formation is one of the exploration target. The requirements of carbonate rock as a reservoir is must have a good porosity and permeability. Higher number of porosity it is mean there are lot of the pores in the rock, and also interconnected lot of pores will be increased permeability. So the carbonate rock with good porosity and permeability will be able to store and flow hydrocarbons. Knowledge and understanding of porosity in carbonate rocks and the distribution is very important in exploration. In this research, the identification of the distribution of porosity Kujung I Formation is using seismic attribute method. The seismic attribute application on the 3D seismic data covering the inversion, ant - track as well as the spectral decomposition. The final result of applied seismic attributes, concluded that the porosity of the target zone is well developed. The study also found the phenomenon of low frequency shadow in the target zone that could be as an indicator of hydrocarbons. With two parameters, porosity and hydrocarbon indicators, the study summarized that the target zone is a potential reservoir with hydrocarbons possibility and could be developed as an exploration target

Abstrak :
ABSTRAK
Di daerah penelitian dan sekitarnya, reservoir karbonat pada Formasi Kujung adalah salah satu target eksplorasi. Salah satu syarat batuan karbonat sebagai reservoir yaitu harus mempunyai porositas dan permeabilitas yang baik agar mampu menyimpan dan mengalirkan hidrokarbon. Semakin besar angka porositas berarti pori-pori di dalam batuan tersebut semakin banyak, selain itu pori-pori yang saling terkoneksi akan meningkatkan permeabilitas batuan. Pengetahuan dan pemahaman mengenai porositas pada batuan karbonat dan penyebarannya sangat penting dalam eksplorasi. Pada penelitian ini dilakukan indentifikasi sebaran porositas Formasi Kujung I dengan metode penerapan aplikasi atribut pada data seismik 3D yang meliputi inversi, ant-track serta spectral decomposition. Berdasarkan penerapan atribut seismik tersebut, disimpulkan bahwa pada zona target porositas berkembang baik, selain itu ditemukan adanya fenomena low frequency shadow zone yang dapat digunakan sebagai indikator hidrokarbon pada zona target tersebut. Dengan adanya dua parameter yaitu porositas serta indikator hidrokarbon, pada penelitian ini dapat disimpulkan bahwa zona target sangat potensial sebagai reservoar yang mengandung hidrokarbon dan dapat dikembangkan sebagai target eksplorasi.

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ABSTRACT
Study area and its surroundings, carbonate reservoir of Kujung Formation is one of the exploration target. The requirements of carbonate rock as a reservoir is must have a good porosity and permeability. Higher number of porosity it is mean there are lot of the pores in the rock, and also interconnected lot of pores will be increased permeability. So the carbonate rock with good porosity and permeability will be able to store and flow hydrocarbons. Knowledge and understanding of porosity in carbonate rocks and the distribution is very important in exploration. In this research, the identification of the distribution of porosity Kujung I Formation is using seismic attribute method. The seismic attribute application on the 3D seismic data covering the inversion, ant track as well as the spectral decomposition. The final result of applied seismic attributes, concluded that the porosity of the target zone is well developed. The study also found the phenomenon of low frequency shadow in the target zone that could be as an indicator of hydrocarbons. With two parameters, porosity and hydrocarbon indicators, the study summarized that the target zone is a potential reservoir with hydrocarbons possibility and could be developed as an exploration target.

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ABSTRAK
Latar Belakang: Pada rekayasa jaringan tulang dibutuhkan scaffold dengan ukuran pori dan porositas yang besar. Ukuran pori dan porositas scaffold hidroksiapatit/alginat dapat dipengaruhi konsentrasi alginat yang digunakan.Kitosan yang ditambahkan pada scaffold hidroksiapatit/alginat diketahui dapat meningkatkan perlekatan sel dan memberi sifat antimikrobial. Namun penambahan kitosan dapat mempengaruhi ukuran pori dan porositas scaffoldTujuan: Untuk mengetahui apakah penggunaan alginat konsentrasi yang rendah dalam scaffold hidroksiapatit/alginat dengan atau tanpa kitosan dapat meningkatkan ukuran pori dan porositas scaffoldMetode: Karakterisasi hidroksiapatit dengan analisis X-Ray Diffraction XRD danFourier transform infrared spectroscopy FTIR . Karakterisasi alginat, kitosan dan scaffolddengan analisis FTIR. Menganalisis ukuran poriscaffold dengan Scanning Electron Microscope SEM dan menghitung porositas dengan metode liquid displacement, hasildianalisis dengan One-Way ANOVA dan diikuti uji Post Hoc Tukey HSDHasil: Ketiga bahan teridentifikasi sebagai hidroksiapatit, alginat dan kitosan. Spektrum FTIR menunjukkan adanya interaksi kimia di dalam scaffold. Didapatkan pula bahwa terdapat perbedaan bermakna pada ukuran pori dan porositas antara scaffold hidroksiapatit/alginat 1 dan scaffold hidroksiapatit/alginat 3 dengan atau tanpa KitosanKesimpulan: Penggunaan konsentrasi alginat 1 dapat memperbesar ukuran pori dan porositas pada scaffold hidroksiapatit/alginat dan scaffold hidroksiapatit/alginat/kitosan dan penggunaan kitosan dapat memperkecil ukuran pori serta memperbesar porositas scaffold hidroksiapatit/alginat.

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ABSTRACT
Background large pore size and high porosity were requiredin bone tissue engineering scaffolds. The pore size and porosity of hydroxyapatite alginate scaffolds can be influenced by the concentration of alginate. Chitosan added to the hydroxyapatite alginate scaffolds is knowIlmu Kedokteran Gigi Dasarn to increase cell attachment and provide antimicrobial properties. However the addition of chitosan may affect the pore size and porosity of the scaffolds.Purpose To determine whether the use of low alginate concentrations in hydroxyapatite alginate scaffolds with or without chitosan can increase the pore size and porosity of the scaffolds.Methods hydroxyapatite was identified usingX Ray Diffraction XRD andFourier transform infrared spectroscopy FTIR analysis. Alginate, chitosan and scaffolds were characterized usingFTIR analysis. The pore size of the scaffoldswas analyzed using Scanning Electron Microscope SEM and the porosity was calculated using liquid displacement method and the result was analyzed by One Way ANOVA and Tukey HSD Post Hoc TestResults The three ingredients were identified as hydroxyapatite, alginate and chitosan. FTIR spectra indicated the presence of chemical interactions in the scaffolds. Statistical analysis was showed that there were significant differences in pore size and porosity of hydroxyapatite alginate 1 scaffolds and hydroxyapatite alginate 3 scaffolds with or without chitosan.Conclusion Alginate 1 can enlarge the pore size and porosity of the hydroxyapatite alginate and hydroxyapatite alginate chitosan scaffolds, and chitosan can reduce pore size and increase the porosity of the hydroxyapatite alginate scaffolds.

Abstrak :
Inversi Seismik merupakan metoda untuk mendapatkan gambaran model geologi bawah permukaan dengan menggunakan data seismik sebagai data input utama dan data sumur sebagai kontrolnya. Hasil yang didapat dari metoda inversi adalah informasi yang terkandung di dalam lapisan batuan berupa impedansi (akustik atau elastik). Hasilnya berkorelasi secara kuantitatif terhadap parameter fisik pada reservoir yang terukur pada sumur, salah satunya adalah porositas. Maksud dari penelitian ini adalah bahwa penulis akan melakukan contoh pemodelan inversi AI pada reservoar di Lapangan IWR, sedangkan tujuannya adalah untuk mengestimasi porositas reservoar di daerah interest melalui pendekatan inversi seismik AI tersebut. Diharapkan nantinya dapat menentukan usulan sumur pemboran beserta justifikasinya dan memungkinkan untuk di eksplorasi lebih lanjut. Hasil penelitian yang diharapkan dari studi ini adalah bahwa penulis mampu mengintegrasikan data porositas dari beberapa sumur yang ada terhadap data seismik atribut dengan pemodelan inversi AI.

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Seismic Inversion is a method to gain a subsurface geological model with seismic data as a main input and well log data as a controller. The result of this method is a brief description about lithological impedance (acoustic or elastic). This informations are quantitatively correlable with another physical parameter on reservoar, e.g. porosity. The aims of this study is doing a seismic inversion AI modelling on Field IWR, and the goal is estimating the reservoir porosity at the interest zone with previous inversion result. Finally we can propose some wells with its justifications and able for further explorations. Expectation of the study is author able to integrate the porosity data of many wells into seismic attribute data with seismic inversions AI, which it can be useful for estimating reservoir porosity at other zone.

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Lapangan ?AS? terbukti mengandung gas dari hasil pemboran sumur eksplorasi yang sudah dilakukan. Untuk memprediksi distribusi porositas pada reservoar batuan karbonat yang mengandung gas digunakan metoda inversi impedansi akustik dengan diintegrasikan interpretasi fasies pengendapan dan proses diagenesa. Diharapkan dari penelitian ini bisa membantu dalam mengidentifikasi penyebaran porositas dan membantu dalam menentukan lokasi sumur pengembangan dengan optimal. Porositas pada batuan karbonat sangat dipengaruhi oleh fasies pengendapannya dan proses diagenesa. Analisa fasies pengendapan dan diagenesa dapat digunakan untuk prediksi penyebaran porositas dengan interpretasi secara geologi/kualitatif. Untuk mendapatkan prediksi yang lebih baik maka diintegrasikan dengan interpretasi geofisika secara kuantitatif dalam hal ini Atribut Impedansi Akustik. Analisa Atribut Impedansi Akustik dilakukan dengan proses inversi seismik. Inversi seismik membutuhkan model awal dimana model awal ini akan berpengaruh terhadap hasil inversi. Dalam hal ini, model awal dibuat berdasarkan interpretasi fasies pengendapan dari data sumur maupun interpretasi seismik serta hasil analisa proses diagenesa yang terjadi pada reservoir karbonat dilapangan ?AS?. Hasil penelitian ini menunjukkan bahwa porositas batuan karbonat di lapangan ?AS? dapat diprediksi dengan baik melalui inversi Impedansi Akustik. Prediksi porositas dari impedansi akustik diintegrasikan interpretasi fasies pengendapan dan diagenesa dapat memprediksi penyebaran porositas di lapangan ?AS?dengan lebih optimal

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Abstract
?AS? field was already proved to contain gas from previous drilling of the exploration wells. To predict the distribution of porosity in carbonate reservoir rocks containing gas, acoustic impedance inversion method is applied integrated with depositional facies and diagenetic processes interpretation. It was expected that the research could help to identify porosity development in the carbonate reservoir and assist in determining optimally the location of the development wells Porosity in carbonate rock is strongly influenced by depositional facies and diagenetic processes. Depositional facies and diagenesis analysis can be used to predict the porosity development with a geological interpretation qualitavely. To get a better porosity prediction, acoustic impedance attribute can be used as quantitavely interpretation which is integrated with geological interpretation. Analysis of acoustic impedance attribute is done by using seismic inversion process. Seismic inversion requires an initial model, which influence the inversion results. In this case, the initial model is based on facies interpretation of well data, seismic interpretation and the results of analysis of diagenetic processes that occur in carbonate reservoir in the ?AS? field. The results of this study indicate that the porosity of carbonate rocks in the ?AS? field can be predicted by acoustic impedance inversion. Prediction of porosity distribution from acoustic impedance, which is integrated with interpretation of depositional facies and diagenesis can be carried out more optimally in the ?AS? field.

Abstrak :
Penelitian ini membahas tentang realisasi hasil multimaterial scaffold yang menggunakan bahan dua buah Polimer PLA (Polylactic acid) yang belum diketahui mekanikal propertinya, dengan variasi volume tertentu dengan tujuan untuk mendapatkan sifat dan struktur mekanikal yang sesuai sebagai scaffold yang akan di aplikasikan dalam bone block. Variasi pengujian dilakukan dengan memberikan perbedaan volume PLA dan PLA ini bertujuan untuk membandingkan mechanical properties multimaterial scaffold yang akan dibentuk. Variasi parameter tersebut akan menghasilkan scaffold dengan porositas dan nilai elastic modulus (Em) yang di dapat melalui uji tekan (compressive test). Fabrikasi yang dilakukan menggunakan FDM (Fuse Deposition Modelling) tricolour dibantu dengan CAD software dalam proses perancangannya. Berdasarkan penelitian yang dilakukan, single material scaffold dan multi material scaffold memiliki porositas berkisar 25-75%. Dan modulus elastisitas yang didapat dari pengujian tekan pada single material scaffold menujukkan untuk scaffold PLA a sebesar 62,02 Mpa dan scaffold PLA b sebesar 31,01 Mpa. Dan untuk multimaterial scaffold didapat modulus elastisitas dari 48 – 59 Mpa. ...... This study discusses the realization of multi scaffold material using two polymer material PLA (Poly(lactic) acid) is not known mechanical properties, with a variation of a certain volume in order to obtain mechanical properties and structure suitable as a scaffold that will be applied in the bone block. Variations testing is done by giving the difference volume PLA α and β PLA aims to compare the mechanical properties multi material scaffold to be formed. Variations of these parameters will result in scaffold porosity and elastic modulus value (Em) in the can through the pressure test (compressive test). Fabrication is carried out using FDM (Fuse Deposition Modeling) tricolor aided by CAD software in the design process. Based on the research conducted, single and multi material scaffold material scaffold material has a porosity ranging from 25-75%. And modulus of elasticity are obtained from the test tap on single scaffold material for PLA scaffold shows amounted to 62.02 Mpa and a PLA scaffold b amounted to 31.01 Mpa. And for multi material obtained scaffold modulus of elasticity of 48-59 Mpa.

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ABSTRAK
Material badan pelindung kendaraan tempur umumnya terbuat dari baja yang memiliki kekerasan dan kekuatan impak yang tinggi. Namun karena densitasnya yang tinggi, dilakukan pengembangan material dengan densitas yang jauh lebih rendah namun tetap dapat menahan penetrasi peluru. Salah satunya adalah dengan mengembangkan metal matrix composite dengan matriks aluminium. Pada penelitian sebelumnya pelat komposit aluminium berpenguat SiC telah berhasil menahan peluru tipe III, namun masih mengalami retak dibagian belakang. Oleh karena itu, pada penelitian ini dilakukan penambahan unsur Ti dengan tujuan untuk meningkatkan ketangguhan matriks komposit melalui mekaisme penguatan batas butir. Komposit dengan matriks Al-11Zn-8Mg berpenguat 10 vol.% SiC dengan variasi kadar Ti sebesar 0, 0.018, 0.029, 0.224 wt.% difabrikasi menggunakan proses squeeze casting. Pelat komposit diberi laku pelarutan pada temperatur 450 oC selama 1 jam, dilanjutkan dengan laku penuaan pada temperatur 130 oC selama 102 jam untuk meningkatkan ketangguhannya. Karakterisasi yang dilakukan pada pelat komposit yaitu, pengujian komposisi kimia menggunakan Optical Emission Spetroscopy (OES), pengujian kekerasan menggunakan metode Rockwell B, pengujian impak menggunakan metode Charpy, pengamatan struktur mikro menggunakan mikroskop optik dan Scanning Electron Microscope (SEM) yang dilengkapi dengan Energy Dispersive X-Ray Spectroscopy (EDS). Hasil pengujian tersebut menunjukkan bahwa dengan peningkatan kadar Ti akan meningkatkan kekerasan pelat komposit melalui mekanisme penghalusan dendrit. Seiring dengan meningkatnya nilai kekerasan pelat komposit, harga impaknya menurun yang menunjukkan penurunan ketangguhan komposit. Penuaan meningkatkan kekerasan komposit secara signifikan dengan pembentukan endapan MgZn2. Adanya kandungan Ti menurunkan solute-vacancy-complexes sehingga menghambat mobilitas Mg dan Zn untuk membentuk presipitat.

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ABSTRACT
Materials for military vehicle are usually made of steel which has high hardness and high impact properties. Because of its high density, development of lighter materials with high hardness and high impact energy such as aluminium composites is done. Previous research has successfully produced SiC-strengthened aluminium composites that were able to withstand type III bullets, but cracks remained at the back of the plate. Therefore, in this research, Ti was added in order to increase the toughness of the composite matrix by grain boundary strengthening. This research used Al-11Zn-8Mg as matrix and 10 vol.% SiC as reinforcement with Ti addition of 0, 0.018, 0.029 and 0.224 wt.% which were fabricated by squeeze casting method. The composites were solution treated at 450 oC for 1 hour, then aged at 130 oC for 102 hours. Material characterization consisted of chemical composition test by using Optical Emission Spectroscopy (OES), hardness test by using Rockwell B method and impact test using Charpy method, microstructural analysis by using optical microscope and Scanning Electron Microscope (SEM) equipped with Energy Dispersive X-Ray Spectroscopy (EDS). The results showed that addition of Ti increased the hardness by grain refining mechanism. The increase in hardness was followed by the decrease in toughness. The hardness significantly increased by aging process due to the formation of MgZn2 precipitates. Addition of Ti lowered the number of solute-vacancy-complexes which decreased the mobility of zinc and magnesium to form precipitate.

Abstrak :
Porositas dan permeabilitas merupakan parameter penting kualitas batu pasir. Kualitas batupasir sangat dipengaruhi oleh proses pasca pengendapan yaitu prosesnya diagenesis batupasir seperti kompaksi, sementasi, dan disolusi. Area penelitian merupakan singkapan dari Formasi Jatiluhur yang berumur Miosen Tengah dan disimpan di lingkungan batial (lereng-rak). Tujuan dari penelitian ini adalah untuk mengetahui porositas dan permeabilitas serta perilaku mineral lempung terjadi dari singkapan analog formasi Jatiluhur berdasarkan data Pengukuran penampang stratigrafi menggunakan metode analisis data batuan inti rutinitas dan SEM. Hasil porositas batupasir formasi Jatiluhur berada dalam kisaran 9% - 16% sedangkan hasil permeabilitas berada pada range 0.1 mD - 0.7 mD. Hubungan porositas dan permeabilitas batupasir formasi Jatiluhur cenderung berbanding lurus. Mineral tanah liat ditemukan di batupasir Formasi Jatiluhur termasuk kaolinit yang berperan sebagai pengisi pori, smektit dengan sifat sebagai pengisi pori dan pelapis pori, serta illite dengan perilaku sebagai pelapis pori. Dari usia muda hingga tua, kandungan mineral illite semakin parah melimpah karena suhu yang lebih tinggi di lingkungan pengendapan lebih dalam. Hasil porositas dan permeabilitas batupasir formasi Jatiluhur sangat heterogen karena adanya mineral autigenik seperti mineral mineral kaolinit, smektit, ilit, dan detritus seperti kalsit dan kuarsa, serta mineral albite. Hubungan porositas dengan kelimpahan mineral sekunder dari usia muda hingga tua semakin membesar karena semakin banyaknya mineral tidak sehat dapat membentuk mikropori. ......Porosity and permeability are important parameters of sandstone quality. The quality of the sandstones is greatly influenced by the post-deposition process, namely the diagenesis of the sandstones such as compaction, cementation, and dissolution. The research area is an outcrop of the Jatiluhur Formation which is Middle Miocene and stored in a batial environment (slopes). The purpose of this study is to know the porosity and permeability as well as the behavior of clay minerals occurs from the analog outcropping of the Jatiluhur formation based on the data Measurement of stratigraphic sections using routine core rock data analysis methods and SEM. The porosity results of the Jatiluhur formation sandstones are in the range of 9% - 16% while the permeability results are in the range 0.1 mD - 0.7 mD. The porosity and permeability relationship of the Jatiluhur formation tends to be directly proportional. Clay minerals found in the sandstones of the Jatiluhur Formation include kaolinite which acts as a pore filler, smectite with properties as a pore filler and pore coating, and illite which acts as a pore coating. From young to old age, the mineral content of illite is increasingly abundant due to higher temperatures in the deeper depositional environment. The porosity and permeability of the Jatiluhur formation sandstones are very heterogeneous due to the presence of autigenic minerals such as kaolinite, smectite, illite, and detritus such as calcite and quartz, and albite minerals. The relationship between porosity and secondary mineral abundance from young to old is getting bigger because more and more unhealthy minerals can form micropores.