According to Data and Information Center, Ministry of Health Republic of Indonesia in 2015, cancer is one of the major causes of death in the world. In fact, in 2012 there were 8.2 million people death caused by cancer. The number of death is estimated to increase every year even, in the two next decades will increase 15 million to 22 million. The cancer can be known and detected early have possibilty to get better handling, and microarray technology has a role in it. In recent years, microarray technology has a great impact for determining genes informative causes cancer. Microarray has capability to determine the expression of thousands genes simultaneously monitoring biological processes. By analyzing microarray data, the thousand genes expression that represent a human, would be classified as a cancer or not. In this final project, the author implements Functional Link Neural Network with Legendre Polynomial basis functions for the accurate classification of data and uses Genetic Algorithm as a feature selection to reduce the high dimensional does exist on microarray data. Thus after all the processes have been conducted, then we retrieved the highest performance against the classification of microarray data of Colon Tumors of 92.3% and classification for Leukemia of 87.5%. The differences of performance is caused by the difference of the acquired characteristics of data respectively.Keywords: cancer detection, microarray, Functional Link Neural Network, Genetic Algorithm Abstrak Berdasarkan Pusat Data dan Informasi Kementerian Kesehatan RI Tahun 2015, penyakit kanker merupakan salah satu penyebab kematian utama di seluruh dunia, dan di tahun 2012, sekitar 8,2 juta kematian disebabkan oleh kanker. Diperkirakan penderita kanker terus meningkat setiap tahunnya bahkan dalam dua dekade berikutnya akan meningkat dari 14 juta pada 2012 menjadi 22 juta. Kanker yang dapat diketahui dan dideteksi lebih awal memiliki probabilitas untuk mendapatkan penanganan yang lebih baik, dan teknologi microarray memiliki peran dalam hal itu. Di beberapa tahun terakhir, pemanfaatan teknologi microarray memiliki pengaruh besar dalam menentukan gen informatif yang menyebabkan kanker. Micorarray mampu menentukan ekspresi ribuan gen dan secara simultan memantau proses bilogis yang sedang berlangsung. Dengan melakukan analisa terhadap data micorarray, selanjutnya ekspresi dari ribuan gen yang merepresentasikan suatu jaringan pada manusia, akan diklasifikasikan sebagai jaringan kanker atau bukan. Dalam penelitian ini, penulis mengimplementasikan Functional Link Neural Network dengan fungsi basis Legendre Polynomial untuk klasifikasi data yang akurat dan menggunakan Genetic Algorithm sebagai seleksi fitur untuk mereduksi data berdimensi tinggi yang sering ditemukan pada data microarray. Dengan serangkaian proses yang telah dilakukan, maka diperoleh kinerja tertinggi terhadap klasifikasi data microarray OPEN ACCESS

The purpose of this research is to give an advice related to the transportation inspection by using a decision support system. Literature study, observation, system design, and system testing were used as methods in this research. With this method, we can create a system that can support the decision of the rhamp check officer to determine the proper transportation to operate. The result of this research is obtaining the data about the criteria used as a reference in making decisions about the feasibility of vehicle operations. The creation of a decision support system is very important because it can provide an accurate picture of the condition of a vehicle based on the results of a check rhamp as a decision support for choosing road-worthy transportation. From this problem the author want to create a system that name is “Decision Support System Public Transport Feasibility”

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