Penggabungan Fitur Tekstur Yang Invariant Terhadap Iluminasi Dan Fitur Bentuk Untuk Deteksi Acute Lymphoblastic Leukemia

. Detection with microscopic blood image can help early detection of Accute Lymphoblastic Leukemia (ALL). Therefore, image acquisition process under lighting variation cause varying illumination image, so it’s needed to find texture feature extraction method that is invariant towards illumination. Shape feature also needed in this study because can represent characteristics of microscopic blood image.This study proposes combination of texture feature that is illumination invariant and shape feature for ALL detection. Texture feature will be extracted using Complete Robust Local Binary Pattern (CRLBP) method and will be tested on microscopic blood image dataset named ALL_IDB1. Testing will be conducted by using various combination of different texture feature and shape feature. Combination of shape feature and CRLBP is perform better than others. In indvidual cell test, highest result using SVM Linear with accuracy 90.89%, sensitivity 94.24% and specificity 64.82%. Classification using ALL image reach accuracy 88.00 %, sensitivity 82.35% and specificity 100%

Macular Edema Classification Using Self-organizing Map and Generalized Learning Vector Quantization

Macular edema is a kind of human sight disease as a result of advanced stage of diabetic retinopathy. It affects the central vision of patients and in severe cases lead to blindness. However, it is still difficult to diagnose the grade of macular edema quickly and accurately even by the medical doctor\u27s skill. This paper proposes a new method to classify fundus images of diabetics by combining Self-Organizing Maps (SOM) and Generalized Vector Quantization (GLVQ) that will produce optimal weight in grading macular edema disease class. The proposed method consists of two learning phases. In the first phase, SOM is used to obtain the optimal weight based on dataset and random weight input. The second phase, GLVQ is used as main method to train data based on optimal weight gained from SOM. Final weights from GLVQ are used in fundus image classification. Experimental result shows that the proposed method is good for classification, with accuracy, sensitivity, and specificity at 80%, 100%, and 60%, respectively

PEMANTAUN KONDISI INVERTEBRATA MENGGUNAKAN METODE REEF CHECK, DI PERAIRAN SELAT SEMPU, KABUPATEN MALANG

Reef Check merupakan sebuah organisasi yang didedikasikan untuk konservasi ekosistem terumbu karang dengan menggunakan metode pemantauan ekosistem terumbu karang dan lingkungan. Teknik yang digunakan sangat sederhana serta datanya dapat dipastikan kuat secara ilmiah. Data yang didapat berupa perhitungan penutupan jenis substrat, ikan, invertebrata, spesies langka dan dampak kerusakan. Invertebrata merupakan hewan bertulang belakang yang memiliki peranan penting dalam ekosistem terumbu karang. Data invertebrata yang diambil di lapang merupakan spesies ekonomis penting yang ada di Perairan Sendang Biru. Lokasi penelitian berada di wilayah Perairan Sendang Biru, Malang Selatan. Dilakukan pengambilan data di 4 stasiun pengamatan yakni, Teluk Semut 1, Teluk Semut 2, Fish Apartment, dan Watu Meja agar dapat dilakukan adanya perbandingan kelimpahan. Metode penelitian dengan menggunakan metode transek sabuk  sejauh 100 m pada 4 stasiun, dilakukan pengamatan dengan pola zig-zag dengan 5 kali pengulangan. Hasil dari monitoring 4 stasiun ini terdapat 2 ekor invertebrata Diadema urchin pada stasiun Teluk Semut 1 dan Teluk Semut 2, 3 ekor invertebrata Pencil urchin pada stasiun 3Fish Apartment, dan 2 ekor Kima dengan besar 10-20 cm pada stasiun Fish Apartment dan Watu Meja. Ketiga spesies invertebrata diatas mewakili semua invertebrata yang ditemukan di lokasi penelitian. Sedikitnya jumlah kelimpahan invertebrata yang ditemukan tersebut sebanding dengan kondisi kesehatan terumbu karang yang kurang baik dan rendahnya jumlah biota pada lokasi tersebut. Kondisi kesehatan karang yang rusak diakibatkan adanya aktivitas perikanan, bleaching, dan penyakit karang. Kegiatan monitoring mengenai invertebrata di daerah tersebut perlu dilakukan kembali secara berkala agar dapat mengetahui kondisi perairan tersebut dengan adanya kelimpahan pada invertebrata.  Kata kunci: Invertebrata, Reef Check, Selat Sempu  INVERTEBRATE MONITORING USING REEF CHECK METHOD IN SELAT SEMPU WATERS, MALANG ABSTRACTReef Check is an organization which dedicated to the conservation of coral reef ecosystems by using monitoring coral reef ecosystems and the environment method. The technique was simple and can be done by every one who had scientific. The data collected is the calculation of the cover substrates, fish, invertebrates, rare species and damage Invertebrates are vertebrates that have an important role in the ecosystem of coral reefs. invertebrates data which taken in the field is an economically important species in Sendang Biru. The data collected is the calculation of the closing type of substrates, fish, invertebrates, rare species and impacts that occur by looking at the research site conditions. The research location is in the area of Sendang Biru, South Malang. The data collection is done in four station in order to compare and get a calculation of the observations. The research method using belt transect as far as 100m on 4 stations, the observation done with a zig-zag pattern and visually observe the coral reff. Data collection was performed in five repetitions. The Result oh the monitoring in 4 stations, show 2 individual Diadema urchin on the Teluk Semut 1 and 2, 3 Individual of Pencil urchin on Fish Apartment station, and 2 Kima with a size 10-20cm on Fish Apartment and Watu Meja station. The least amount of invertebrate discovered show the ecological balance between the coral cover and fish populayion. The ecological condition of corals were damaged due to their fishing activities, bleaching and coral disease. Monitoring activities of the invertebrates in the area needs to be continue in order to determine the condition of these area.  Keywords : Invetebrate, Reef Check, Selat Semp

Penerapan Algoritma Naïve Bayes Untuk Prediksi Penyakit Tuberculosis (Tb)

The disease Tuberculosis (TB) is a contagious and deadly diseases in the world, even the World Health Organization (WHO) declared as the world's emergency disease (global emergency), some research fields of health including one disease TB has been widely carried out to detect the disease early, but it is not yet known which algorithm is quite good in predicting disease TB. On this research will apply the Algorithm Naïve Bayes, in predicting diagnosis of TB disease to Naïve Bayes algorithm so that the destination is the most accurate algorithm in the prediction of the disease TUBERCULOSIS. The test results using the method of Confusion Matrix and the ROC Curve, the naïve bayes algorithm is known that has a value of 91,61%, accuracy and value of the AUC of 0,995. See the value of AUC, the naïve bayes methods including group classification is very good, because the results of his AUC values between 0.90-1.00

Penerapan Metode Cross Selling Dan Upselling Pada Aplikasi Web E-commerce

Currently e-commerce has become a concept that is influential in the business world, many companies that offer merchandise at the website and for some communities in ecommerce is one of the solutions in the shop, because prospective buyers do not need to come to a place to buy goods. Stores On Computers are firms engaged in computer sales, this store has introduced a system of online sales, but not using a recommendation system on its website. The consumers who do not know how to choose a suitable computer according to the needs and which products are much in demand by other consumers. Lack of recommendation goods and the lack of facilities which products are most in demand, hence resulting in less than optimal sales. In this study applying the method of up-selling and cross-selling on the application to optimize sales

Penerapan Algoritma Naïve Bayes Untuk Penentuan Calon Penerima Beasiswa Pada Smk Pasim Plus Sukabumi

Every institution in particular school lots of scholarship devoted to students, whether or not capable of achieving good results. The scholarship is intended to help ease the burden of costs for students who get it. With a large number of students who apply to receive scholarships and criteria of assessment that much anyway, so not all students who apply for scholarships can be granted. SMK Pasim Plus Sukabumi does not yet have a system which can assist in the determination of scholarship recipients more effectively and efficiently. The Naïve Bayes algorithm method is expected to be able to assist in the determination of the prospective grantee. Naïve Bayes algorithm is one method of data mining contains ten classification data mining is most popular among the other algorithm-the algorithm. Naïve Bayes method also assessed potential both in classifying documents than other classification methods in terms of accuracy and computational efficiency. From the test results by measuring the performance of the naïve Bayes algorithm using the method of testing the Confusion Matrix and ROC Curve, the naïve Bayes algorithm is known that have Accuracy namely 96.67% by value of the AUC that is 0.990. See the value of the naïve Bayes algorithm AUC the naïve Bayes algorithm, then include the group classification is very good, because the results of his AUC values between 0.90-1.00. naïve Bayes algorithm for it is expected to produce a decent Scholarship candidates, so that the school can help in taking decisions more quickly, more effectively and efficiently.

Sistem Pakar Diagnosa Pulmonary TB Menggunakan Metode Fuzzy Logic

Tuberkulosis paru merupakan salah satu penyakit menular kronis. Di Indonesia penyakit ini termasuk satu prioritas nasional untuk program pengendalian penyakit karena berdampak luas terhadap kualitas hidup dan ekonomi, serta sering mengakibatkan kematian. Untuk itu, dalam penelitian ini akan dilakukan analisa terhadap penyakit tb paru menggunakan logika fuzzy (fuzzy logic). Dalam penelitian ini informasi tentang tb_paru didapat dari para pakar dengan melakukan wawancara dengan pakar. Berdasarkan uraian diatas maka dibuat sebuah aplikasi sistem pakar untuk mendiagnosa tb_paru menggunakan fuzzy logic. Aplikasi sistem pakar berbasis web untuk mendiagnosa penyakit tb paru merupakan kebutuhan dari asisten dokter dan masyarakat umum. Oleh karena itu agar mendapatkan nilai informasi yang tepat dan cepat aplikasi sistem pakar ini akan dalam bentuk website. Dari 7 gejala yang ditimbulkan oleh penyakit tb paru ini dalam perhitungan fuzzy logic di dapat sebanyak 128 rule dan untuk perhitungan persentase keakuratannya sendiri sebesar 70,33%. Pembuatan aplikasi ini akan sangat membantu dalam melakukan diagnosa terhadap penderita tb paru

Implementasi Algoritma Multiply With Carry Generator (Mwcg) dalam Pengacakan Soal Ujian Semester Berbasis Web pada SMKN 1 Kendari

A semester exam conducted using Google form on sm1 kendari could be used to cheat on each student, and that requires a semestering system that can scramble the problem and apply an algorithm that can scramble the problem on the term system. An algorithm Multiply With Carry Generator is a simple interlinear Numbers algorithm. This algorithm is often implemented on programming to generate random Numbers. They are outgrown by the algorithm Multiply With Carry Generator, which is at the speed of generating random Numbers and also the length of the randomness cycle produced by Multiply With Carry Generator, which uses two seeds to produce more seed variations.According to testing runs tests they perform to test the randomity of the algorithm Multiply With Carry Generator in 10 students with a question number of 20 Numbers simultaneously producing a random problem form, with test results received . They prove they are reproducing algorithms Multiply With Carry Generator that are used to spark problems

Perancangan Aplikasi Akuntansi Pelayanan Apotek pada Apotek Ating XI Bandung

Teknologi informasi berkembang sangat pesat, salah satu perangkat yang terkena adalah komputer. Dari waktu ke waktu ada kemajuan pada perangkat ini kedua perangkat lunak dan perangkat keras. Apotek Ating XI yang sampai sekarang belum terkomputerisasi dan benar-benar membutuhkan aplikasi untuk mendukung dan memberikan pelayanan yang memuaskan kepada konsumen dan untuk mendukung pembuatan laporan lebih cepat, akurat, efektif dan efisien. Apotek Ating XI adalah Perusahaan yang bergerak di bidang penjualan obatobatan dan alat kesehatan. Pencatatan transaksi mulai dari pembelian barang, penjualan barang dan pembuatan laporan masih dilakukan secara manual sehingga rentan terjadi kesalahan selama proses transaksi berlangsung. Kurangnya aplikasi komputer membuat transaksi sedikit terhambat, terutama dalam hal laporan keuangan. Metode pengumpulan data yang digunakan, yaitu, observasi, wawancara, dan sastra. Desain aplikasi akuntansi ini adalah solusi terbaik untuk memecahkan masalah dan kendala yang terjadi di Perusahaan ini untuk masukan proses pembelian, proses penjualan barang dan pelaporan proses bisa berjalan lebih cepat dan yang paling penting, laporan dapat dihasilkan lebih akurat . Dengan desain aplikasi akuntansi Perusahaan ini diharapkan dapat dikembangkan lebih lanjut di tengah tigh persaingan di dunia bisnis saat in