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: Karakteristik Carboxymethyl Chitosan Dengan Variasi Konsentrasi NaOH
Abstrak: Carboxymethyl chitosan is chitosan derivative product obtained from chemical modification. CMCh were made by alkalization process and carboxymethylation process. Factors that affect CMCh characteristics were excess sodium hydroxide in alkalization process, ratio between chitosan and monochloroacetic acid, and carboxymethylation temperature. The objectives of this research were to study the NaOH effect to CMCh characteristics, to learn process of making CMCh, to set the proper concentration of NaOH, and to analyze CMCh characteristics. CMCh yields were 110.72%-114.22%. CMCh pH value were 3.74-4.31. The optimum NaOH concentration to obtain the best CHCh was 10 M. Percentage of CMCh moisture content was 10.70%-11.42%. Ash content and nitrogen content of CMCh were 0.49%-0.50% and 4.52%-4.81%. CMCh viscousity was 8.25 cps. Percentage of CMCh solubility was 61.61%-91.50%. The different functional groups from chitosan which observed in CMCh were C=O group, CH group from alkene functional group, C−O group, and C−O−C group.
Keyword: solubility., functional group, CMCh characteristics, chitosan, carboxymethyl chitosan