Judul: Pengaruh Pelarut pada Rendemen Sintesis Zink bis(dibutil ditiofosfat)
Abstrak: Lubricant additives used in Indonesia are still imported. Zink dialkyldithiophosphate (ZDTP) is a multifunctional oil additives, works as an antioxidant, antiwear, anticorrosion, and antiscuff. Synthesis of ZDTP has been widely performed and several methods have been developed. The method used in this study was relatively easy and simple, and the reagents were relatively easy to obtain. Various organic solvents were used in the synthesis, namely n-heptane, diethyl ether, and chloroform. Zink bis(dibutyl dithiophosphate) yield in all three solvents did not differ markedly, 97%, 92%, and 98%, respectively, with reaction time of 12 hours each in both steps. Functional group characterization of Zink bis(dibutyl dithiophosphate) using Fourier transform infrared spectrophotometer showed similar absorption bands for all three solvents. The high performance liquid of chromatography analysis results showed that the retention time of Zink bis(dibutyl dithiophosphate) synthesized using n-heptane, diethyl ether, and chloroform were similar to that of commercial authentic ZDTP.
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Judul: Pengaruh Jenis Alkohol pada Rendemen Sintesis Zink Dialkilditiofosfat
Abstrak: Zinc dialkyldithiophosphate (ZDTP) is an organometallic compound used as an additive in lubrication system. ZDTP was composed of Zn atoms with two dialkyldithiophosphoric acid. The usefulness of ZDTP depends on alkyl content, as for antiwear, antioxidant, anticorrosive, and restrain extreme pressure. ZDTP can be synthesized through two step. Firstly, dialkyldithiophosphoric acid (ADTP) was made from diphosphorus pentasulphide (P2S5) with alcohol. Second, ADTP was reacted with zinc oxide (ZnO), producing ZDTP. The suitability of the ZDTP has been varied by using fourier transform infrared spectrophotometer (FTIR), atomic absorption spectrophotometer (AAS), and high performance liquid chromatography (HPLC). The yield of ZDTP 1-4 were 13.88%, 43.50%, 97.29%, and 77.35%, respectively. The result of FTIR characterization in ZDTP showed P-O-C group absorption at 1000􀵆980 cm-1, PS bond absorption at 650􀵆550 cm-1, and Zn-S bond absorption at 400􀵆300 cm-1 . AAS was used to determine the content of Zn in ZDTP 1-4 with the value of 16.16%, 28.82%, 11.81%, and 17.36%, respectively. Verification of compliance indicators ZDTP were measured by comparing the retention time and HPLC chromatograms. It showed that the measured ZDTP had similar retention time with and authentic commercial ZDTP on the same absorption band despite, low concentrations.
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Judul: Quantum Convolutional Neural Network (QCNN) for Classification Brain Tumor MRI Image
Abstrak: Penelitian ini bertujuan untuk mengembangkan model deteksi tumor otak menggunakan citra MRI dengan metode Quantum Convolutional Neural Network. Data yang digunakan adalah citra MRI otak yang terdiri dari citra tumor otak glioma, meningioma, hipofisis, dan negatif tumor yang dibagi kedalam data latih dan uji dengan rasio 80:20. Selanjutnya data latih dilakukan penyeimbangan dengan teknik oversampling. Dilakukan pengembangan model untuk mendeteksi tumor otak (biner), dan juga model untuk mengklasifikasikan jenis tumor otak (multiclass). Parameter yang digunakan dalam pengembangan model adalah jumlah ukuran filer = 2 dan kedalaman = 4, dengan qubit 4, dan dilatih dengan jumlah epoch sebanyak 10. Data akan diproses dengan metode Quantum Convolutional Neural Network yang terdiri dari lapisan quantum convolution, lapisan flatten, dan lapisan dense. Model multiclass mendapatkan akurasi 52%, setelah data latih diseimbangkan akurasi model meningkat menjadi 62%, sedangkan model biner mendapatkan akurasi 88%, setelah data latih diseimbangkan akurasi model meningkat menjadi 89%.
Keyword: Citra MRI, Klasifikasi Citra, QCNN, Tumor Otak