Judul: Penerapan Metode Jaringan Saraf Tiruan Propagasi Balik Untuk Mendiagnosis Tingkat Keganasan Kanker Payudara
Abstrak: Medical imaging (Mammography) is very helpful in the breast cancer diagnostic. Mammography image analysis which is done manually requires expertise, experience, and subjective. A computer aided diagnostic system is helping radiologists to more objective, quicker, and more aqqurate detection of breast cancer. This research classifies benign and malignant breast cancer using backpropagation neural network (BpNN) with backpropagation method and gray level co-ocurence matrix (GLCM) feature extraction. Mammography image preprocessing methods Contrast Limited Adaptive Histogram Equalization (CLAHE) and Otsu’s N Segmentation. The object will be recognized cancer malignancy from spread of calcification in the breast. Feature extraction will be calculated at an angle of 00, 450, 900, dan 1350 and the number of hidden layer neurons tested were 4 and 8. The result is giving an average accuracy of 63.33% at angle of 90% and the number of hidden layer neurons is 4.
Keyword: Bogor Agricultural University (IPB), backpropagation, gray level co-occurrence matrix, reast cancer

Judul: Klasifikasi Kanker Payudara Menggunakan Arsitektur Inception-V3 dan Machine Learning
Abstrak: Kanker payudara adalah penyakit yang timbul diakibatkan oleh sel jaringan payudara yang tumbuh secara tidak normal dan terus menerus. Penyakit ini merupakan penyakit dengan jumlah kenaikan yang besar sekitar 13 juta pertahun, dengan tingkat kematian persentase 9,60% dari total 65.858 kasus. Deteksi kanker payudara sejak dini untuk pencegahan perlu dilakukan, dengan harapan kanker payudara lebih mudah ditangani dan disembuhkan bahkan bisa dicegah sebelum memasuki stadium lanjut. Pada penelitian ini membangun model dengan teknik transfer learning untuk klasifikasi kanker payudara. Terdapat 4 metode yang diujikan yaitu ekstraksi fitur Inception-V3 dengan metode klasifikasi Radial Basic Function Neural Network, Feed Forward Neural Network, Logistic Regression dan ekstraksi fitur dengan melakukan perubahan pada hyperparameter layer. Penelitian ini membandingkan ke empat model tersebut untuk mendapatkan yang terbaik untuk mengatasi masalah klasifikasi kanker payudara. Data yang digunakan pada penelitian ini adalah data citra kanker payudara dengan zoom scale 40X, 100X, 200X dan 400X. Dataset bersumber dari The Laboratory University of Parana dengan P&D Laboratory Pathological Anatomy and Cytopathology, Parana, Brazil. Hasil penelitian ini menunjukkan metode ekstraksi fitur Inception-V3 dengan metode klasifikasi Logistic Regression pada data zoom scale 40X memberikan akurasi terbaik (93,00%), presisi (94,00%), dan recall (91,00%) F1-score (92,00%). Skenario pelatihan Inception-V3 dengan fine tunning dilakukan perubahan hyperparameter layer: 164 dan epoch 100 menghasilkan akurasi terbaik yaitu dengan akurasi 90,00%, presisi 78,00%, recall 91,00% dan F1-score 82,00%.
Keyword: Algoritme Machine Learning, Convolutional Neural network, Inception-V3, Kanker Payudara, Transfer Learning

Judul: Utilization of hydrolized duckweed (Lemna minor) meal as a soybean replacement in Nile tilapia (Oreochromis niloticus) diet,
Abstrak: Tilapia is a fast growing fish widely cultured in many tropical and sub tropical countries. The recent production figures reported our global production estimates for 2015 is 5,576.8 metric tons. In developing countries the major challenges facing aquaculture industry is high cost of production associated with fish feeds. Feed represents 40-70% of operating costs for aquaculture operations, increasing expenses and potential declining supplies soybean meal have led scientists to search for less expensive but compatible alternative protein sources for fish feed; most of which are based on animal or plant protein sources. The objectives of study was to determine the incubation period for hydrolysis of duckweed and to evaluate the use of hydrolized duckweed as aprotein source for the growth performance of Nile tilapia Three experiments were conducted to determine the composition and digestibility of hydrolyzed duckweed meal by sheep rumen liquor as the replacement of soybean meal in the diet of Nile tilapia. The first trial examined the effectivity of sheep rumen liquor enzyme to decrease crude fiber contents of (DWM), the added volume of sheep rumen liquor was 100 ml/kg DWM and then it was incubated for 0, 12, 24 hr . The second trial was to evaluate the apparent digestibility of hydrolyzed DWM for Nile Tilapia, apparent digestibility were determined using chromic oxide indicator added to both reference diet and test diets. The feed ingredients used in the trial were hydrolyzed DWM (HDWM) and unhydrolyzed DWM (DWM). Ten fish with an average weight of 18±0.36g were used in the trial and reared in the aquarium of size 30×40×50cm for 15 days; feces were collected from three replicates using a fecal collection column attached to the aquarium. Third trial was to evaluate the growth performance of Tilapia fed test diet with hydrolyzed Duckweed meal (HDWM). The experimental design was set according to completely randomized design with four treatments and three replicates of HDWM inclusion levels that is 0%, 15%, 30% and 45%. Nile tilapia fish with initial body weight of 18±0.36g was kept in 12 units aquarium size of 30×40×50cm at stocking density of 10fish/aquarium, the fish were fed two times a day at 08:00am and 16:00pm to apparent satiation for a period of 60 days. The results indicated that duckweed meal (DWM) hydrolyzed with 100 mL/kg and incubated for 24 hrs showed the lowest crude fiber contents of 13.68% compared to other treatments. Total digestibility of hydrolyzed duckweed (HDWM) meal was 87.3% compared with unhydrolyzed duckweed (DWM) which was 66.8%. Total final weight (TFW), survival rate (SR), specific growth rate (SGR), feed conversional rate (FCR) and protein retention (PR) shows growth performance at 15% inclusion. The results of this study showed that 100mL/kg sheep rumen liquor at incubation period of 24 hr can be suitable for hydrolysis of duckweed to reduce crude fiber also hydrolyzed duckweed can substitute soybean meal at an incubation rate of 15% in the diet of Nile tilapia and had the same growth and FCR with control diet
Keyword: Digestibility, Duckweed meal, Growth performance, Sheep rumen