Judul: Sintesis Zeolit X Dan Nanokomposit Zeolit/TiO2 Dari Kaolin Dengan Sekam Padi Sebagai Sumber Silika
Abstrak: Zeolite X was synthesized from kaolin originated from Bangka Belitung and was added with silica from rice husk ash. Zeolite X was synthesized because it has many benefits, including as an adsorbent. Kaolin was used as raw material due to its high content of silica and alumina, which were 48.03% and 35.50% respectively. Meanwhile, silica from rice husk ash was used in the form of sodium silicate. Zeolite was synthesized through hydrothermal process inside a polypropylene bottles, by mixing metakaolin, the calcined form of kaolin heated at 700 °C for 6 hours, with sodium silicate and NaOH to activate the major components of Si and Al in the kaolin. Hydrothermal processes were carried out at 100 °C for 24 hours with NaOH concentrations of 1.5 N and 2.5 N. The concentration of NaOH used was resulted in certain type of zeolite obtained. Zeolite X was obtained when the addition 2.5 N NaOH with NaP1 and Faujasite as impurities. On the other hand, NaOH 1.5 N gave NaP1 zeolite. Modification of zeolite to nanocomposite zeolit/TiO2 was shown to have better capability, that was adsorption-photocatalytic property due to its ability to degrade methylene blue under ultraviolet light.
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Judul: Sintesis Zeoli! X dan Nanokomposit ZeolitJTi02dari Kaolin serta Aplikasinya pada Adsorpsi Fotodegradasi Biru Metilena
Abstrak: Kaolin is rarely used as an adsorbent due to its low adsorption capacity. Therefore, kaolin was converted into zeolite and nanocomposite zeolitefri02. The products were then analyzed using x-ray diffraction and scanning electron microscope. The synthesized zeolite and nanocomposite were identified as zeolite A and zeolite X. The maximum adsorption capacity (Q) of zeolite and nanocomposite occured at the concentration of methylene blue at 300 mgIL with Q value of 17 mglg and 21 mg/g. The zeolite prepared using NaOH 2.5 I and aged at 24 hours had the highest Q value of 17 mg/g. The test results of their photodegradation properties indicate that the nanocomposite can degrade methylene blue at concentration 12.5 mg/L with percent degradation of 85.19%. The adsorption-photodegradation process of methylene blue was showed by the color of filtrate and precipitate the studied objects which were more pale than the color of control after UV irradiation at wavelength of 365 nm in 6 hours.
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Judul: Prediction of Survival in Heart Failure Patients with  Machine Learning Method Logistic Regression, Support Vector Machine, and  Random Forest
Abstrak: Kardiovaskular merupakan gangguan pada jantung dan pembuluh darah seperti coronary heart disease. Penyakit ini setiap tahunnya membunuh sekitar 17 juta orang di seluruh dunia dengan penyakit utamanya adalah gagal jantung dan infark miokard. Pendekatan dalam prediksi kelangsungan hidup pasien gagal jantung umumnya dengan menggunakan metode New York Heart Association(NYHA) dengan empat kelas utamanya, tetapi metode ini gagal memprediksi fitur dasar dan gagal mencapai akurasi yang tinggi. Penelitian ini menggunakan pendekatan machine learning dengan tiga model prediksi yaitu regresi logistik, support vector machine, dan random forest. Model random forest mempunyai kinerja paling baik yang disusul oleh regresi logistik, kemudian support vector machine. Setiap model memberikan tiga fitur kuat utama dalam memprediksi variabel target yaitu time, ejection fraction, dan serum creatinine. Pengambilan keputusan hasil simulasi prediksi dilakukan dengan melihat kelas terbanyak yang muncul pada hasil prediksi yang diberikan oleh setiap model dengan urutan randomforest, regresi logistik, kemudian support vector machine.
Keyword: cardiovascular, machine learning, logistic regression, support vector machine, random forest