Judul: Pemodelan Frekuensi Petir di Bogor Menggunakan Pendekatan Logika Fuzzy
Abstrak: Guinness Book of Records in 1989 as indicated in the Antara News article (2013) showed that Bogor is one of the areas with the highest potential for lightning in the world. However, the recording devices that count frequency lightning are repeatedly damaged. Hence, the records are badly documented. This study was conducted to model the frequency of lightning in Bogor using fuzzy logic approach. The method used is the Mamdani method consists of four stages: fuzzification, implication function application, aggregation of rules, and defuzzification. The formed model took the following inputs: air temperature, air humidity, wind speed, rainfall and evaporation. The output data of this model is the frequency of lightning. The results indicate 81 rules model of lightning frequency. Fuzzy modelling accuracy could be indicated by the mean value of the absolute percentage error (MAPE) of 17.2%.
Keyword: Bogor Agricultural University (IPB), MAPE, fuzzy modelling, lightning

Judul: Rainfall Classification Modelling in Bogor District Using
Random Forest Method.
Abstrak: ADE MUSTHOPIC. Pemodelan Klasifikasi Curah Hujan di Kabupaten Bogor Menggunakan Metode Random Forest. Dibimbing oleh FARIT MOCHAMAD AFENDI dan ANWAR FITRIANTO Kabupaten Bogor merupakan wilayah yang memiliki curah hujan cukup tinggi, dimana berdasarkan penelitian BMKG pada Februari 2021 menunjukan rata-rata curah hujan di Kabupaten Bogor berada di angka 300 mm/bulan. Tingginya curah hujan yang terus menerus dapat berdampak buruk dalam bidang pertanian, dan berpotensi terjadinya bencana alam. Penelitian ini bertujuan untuk melakukan klasifikasi terhadap curah hujan di Bogor dengan menggunakan komponen-komponen iklim sebagai variable pendukung menggunakan metode Random Forest. Kemudian dilakukan perbandingan kinerja model sebelum dan setelah dilakukannya penanganan data tidak seimbang dengan SMOTE. Sebelum dilakukannya SMOTE, nilai akurasi, sensitivitas, spesifisitas, skor F1 berturut-turut adalah 76%, 34%, 88%, and 40%. Sedangkan setelah dilakukan SMOTE nilai akurasi, sensitivitas, spesifisitas, skor F1 berturut-turut adalah 72%, 57%, 76%, and 49%. Dari data yang disimpulkan bahwa SMOTE tidak berpengaruh signifikan terhadap kinerja model klasifikasi. Kata Kunci : curah hujan, random forest, SMOTE, Bogor is one of the district which have high rainfall level, based on BMKG research in February 2021 shows that average rainfall level in February is 300 mm/month. However, continuous high rainfall which have negative impact on agriculture, and also has the potential impact for natural disasters. This research is purposes to conducting rainfall classifications modelling in Bogor using climate component as supporting variable using random forest method. Then a comparison of model performance will be carried out before and after handling unbalaced data with SMOTE. The result obtained were that the model before SMOTE had accuracy, sensitivity, specificity, f1-score respectively 76%, 34%, 88%, and 40%. Whereas after SMOTE the accuracy, sensitivity, specificity, and f1-score respectively 72%, 57%, 76%, and 49%. Based on the result, it can be conclude that SMOTE has no significant effect on the performance of the classification model.
Keyword: curah hujan, random forest, SMOTE

Judul: Pemurnian dan karakterisasi protein inhibitor RNA helikase virus hepatitis C
Abstrak: Hepatitis C virus (HCV) infection is the second most common chronic viral infection in the world with global prevalence. This infection is contribution to chronic hepatitis and liver cirrhosis, often leading to hepatocellular carcinoma. There is no effective drug and vaccine available against HCV. The current standard treatment, a combination of pegylated interferon-α with ribavirin, is limited by its suboptimal response rate in a significant patient population, side effects, and affordability. Therefore, development of effective drug is needed. One approach to find out the candidate of antiviral drug is to discover the inhibitor of enzyme that essential for virus replication, such as RNA helicase. Streptomyces chartreusis 5-095 produce the inhibitor of HCV RNA helicase. The aim of this study was to purify the protein inhibitor which has inhibition activity against ATPase activity of RNA helicase HCV from S. chartreusis 5-095. The supernatant of culture S. chartreusis 5-095 exhibited high inhibiton activity against ATPase activity of RNA helicase HCV (approximately 72%) at 10 days of incubation. The extracellular protein inhibitor was partially purified by procedures of precipitation with ammonium sulfate to 65% saturation and gel filtration (Sephadex G50) using methanol water solution (4:6) as an eluen. The purity of protein inhibitor was monitored by SDS PAGE. The protein inhibitor showed a relative molecular mass were estimated to be 14 kDa and increased the purity 23,08 fold than those of the crude protein. The specific activity and IC50 after purification were 13,1338 U/mg and 0,0767 mg/mL, respectively. The activity of purified protein inhibitor showed its stability over pH range from 5-8 and optimum at pH 7,4. The inhibition activity showed its stability up to 70% at temperature 100 oC. The purified protein inhibitor relatively stable its activity at storage in the range of -20 oC to room temperature for 35 days.
Keyword: