Claim Missing Document
Check
Articles

Found 8 Documents
Search
Journal : Seminar Nasional Aplikasi Teknologi Informasi (SNATI)

Penerapan Algoritma Genetika Pada Penentuan Komposisi Pakan Ayam Petelur Arnold Aribowo; Samuel Lukas; Martin Gunawan
Seminar Nasional Aplikasi Teknologi Informasi (SNATI) 2008
Publisher : Jurusan Teknik Informatika, Fakultas Teknologi Industri, Universitas Islam Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Ada banyak kemungkinan kombinasi makanan yang dapat digunakan untuk meningkatkan produksi dan kualitas ayam. Namun demikian, tidak semua kombinasi makanan akan memberikan solusi terbaik. Agar solusi terbaik dapat dicapai, penelitian untuk menentukan komposisi makanan ayam perlu dilakukan. Untuk mempermudah proses penentuan komposisi tersebut, dilakukanlah pembuatan piranti lunak. Algoritma genetika yang memiliki kehandalan dalam menghasilkan output yang optimal dapat dimanfaatkan untuk memecahkan masalah tersebut dengan bantuan piranti lunak. Pada piranti lunak yang dibuat, terdapat beberapa input yang dibutuhkan, yaitu jumlah kromosom awal, jumlah generasi, probabilitas crossover dan probabilitas mutasi. Hasil pemrosesan merupakan kombinasi makanan yang merepresentasikan penyelesaian masalah ini. Hanya kromosom terbaik yang akan diberikan sebagai hasil. Melalui piranti lunak yang dibuat, penentuan komposisi makanan diharapkan dapat dilakukan dengan lebih baik dan dapat meningkatkan produksi dan kualitas telur. Berdasarkan penelitian yang telah dilakukan, digunakan 30 jenis makanan yang akan digunakan pada pengujian. Dari jenis makanan tersebut, dipilih 20 jenis makanan. Melalui pengujian yang telah dilakukan dengan parameter algoritma genetika yang bervariasi, hasil yang optimum diperoleh pada pengujian dengan jumlah gen 20, jumlah kromosom 1000, probabilitas crossover 0.5, probabilitas mutasi 0.1, dan jumlah generasi 4000 dengan nilai fitness 0.92. Keywords: Algoritma Genetika, Optimisasi Komposisi Bahan Pangan.
Simulasi Kecepatan Kendaraan Dengan Menggunakan Logika Fuzzy Samuel Lukas; Arnold Aribowo; Yogih Suharta Tjia
Seminar Nasional Aplikasi Teknologi Informasi (SNATI) 2008
Publisher : Jurusan Teknik Informatika, Fakultas Teknologi Industri, Universitas Islam Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Artificial intelligence has been implemented widely. Many of household products are designed based on artificial intellegence concept. One of them is fuzzy logic system. This paper describes on how a fuzzy logic system can also be implemented in controling the speed of a car in the road.  The fuzzy inference system was designed according to Tsukamoto inferencing method and for the defuzzyfication method is used weighted average method. There are three inputs for the system. The are distance between controled car and the car infront of the controled car, distance between controled car and turning point in front of the car and the last is the current speed of the controled car. The output of the system is the next speed of the controled car.  For every inputs, three predicates fuzzy are used. Therefore, there are 27 ruler of inference.  From the experiment, it can be concluded that the system works well. The performance of the system closely relates with the membership function of each variabel.  Keywords: Fuzzy logic, Fuzzy inference, Defuzzyfication
Piranti Lunak Pembuktian Pernyataan Logika Proposisi dengan Metode Resolusi Menggunakan Bahasa Pemrograman Prosedural Arnold Aribowo; Kristian Frits Harris; Budi Berlinton Sitorus
Seminar Nasional Aplikasi Teknologi Informasi (SNATI) 2008
Publisher : Jurusan Teknik Informatika, Fakultas Teknologi Industri, Universitas Islam Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Proving by resolution method is one of methods which can be used to prove the logical statementaccording to given statements. To automate the proving process and to support the teaching-learning process ofdiscrete mathematics course in the university, this proving can be done with the aid of computer software. Toenable the effective use of software, the error handler facilities are added. They help users to overcomeerroneous inputs and therefore facilitate the use of software.In this paper, several possibilities of mistaken input performed by users are elaborated. By analyzingthem, the error handler facilities are added in the software for proving the propositional logic statement byusing resolution method. According to the testing which was performed, the error handler facilities can beapplied in the software.Keywords: Resolution, Conjunctive Normal Form, Automated Reasoning, Handling Errors.
Penerapan Ant Colony System untuk Penyelesaian Vehicle Routing Problem Samuel Lukas; Arnold Aribowo; Hadinata Hadinata
Seminar Nasional Aplikasi Teknologi Informasi (SNATI) 2007
Publisher : Jurusan Teknik Informatika, Fakultas Teknologi Industri, Universitas Islam Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Many researchs have been conducted relating to optimization problems. This reseach proposes anotheralgorithm to solve optimation problem by implementing ant algorithm to Vehicle Routing Problem (VRP). TheVRP is an algorithm that works for multiple Traveling Salesmen Problems (TSP). The ant algorithm is analgorithm that simulating on how the behaviour of ant colony can find the shorthest path from one place toanother.There are some parameters to deal with this ant algorithm. To know the behaviour of these parameters,some experiments were conducted to know how good the parameters should be set to solve the given problem.Finally, the results of all experiments are also be reported.Keywords: Vehicle Routing Problem, ant Algorithm, Traveling salesmen Problem.
Handwritten Alphabet Recognition Using Hamming Network Arnold Aribowo; Samuel Lukas; Handy Handy
Seminar Nasional Aplikasi Teknologi Informasi (SNATI) 2007
Publisher : Jurusan Teknik Informatika, Fakultas Teknologi Industri, Universitas Islam Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Handwritten Alphabet Recognition is one of the artificial intelligence applications which provides animportant fundamental for various advanced applications, including information retrieval and human-computerinteraction applications. This paper elaborates a research which is performed to build a system which is able torecognize handwritten latin alphabets in the form of images. The system is developed using the HammingNetwork method.From the experiments of 100 prototypes of data, the system is able to identify handwritten latin alphabetswith 76.97% average accuracy. Mistaken recognitions are mainly caused by the similarity of the alphabetpatterns, such as the pattern of I, T and Z, or the pattern of C and G. The value of ε and the matrix b which aregiven in the system may affect the recognition results.Keywords: Handwritten Alphabet Recognition, Hamming Network
Perancangan Jaringan Syaraf Tiruan Umpan Balik Berbasis Windows: Studi Kasus Pengenalan Numerik Arab Samuel Lukas; Arnold Aribowo; Sepreni Sepreni
Seminar Nasional Aplikasi Teknologi Informasi (SNATI) 2004
Publisher : Jurusan Teknik Informatika, Fakultas Teknologi Industri, Universitas Islam Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Artificial Neural Networks are basically software applications that need to beprogrammed. Like any other application, an ANN can be programmed with a programminglanguage, a tool, or both. This paper discussed an analysis how an ANN based on backpropagation learning algorithm can be constructed by using Visual Basic language.Moreover this paper also discusses how we can make an ANN system to identify handwritingof nine numerical Arabic characters.Keywords: artificial neural networks, programming language, nine numerical arabiccharacters.
PENGENALAN BENTUK DENGAN METODE N-TUPLE DAN FUZZY LOGIC Samuel Lukas; Arnold Aribowo; Yunita Thedykurnia
Seminar Nasional Aplikasi Teknologi Informasi (SNATI) 2010
Publisher : Jurusan Teknik Informatika, Fakultas Teknologi Industri, Universitas Islam Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Shape recognition is important in digitizing information era. It enables computer system to recognize someshapes. The shape could be a picture or a handwriting letter. There are many methods can be applied to do so.This paper presents on how n-tuple method and fuzzy logic sistems can also be implemented. The shapes can be recognized by the system are limited to capital letter from A to E, and some plane geometriessuch as square, circle, triangle, hexagon, and rhomboid. The image input is a binary image and processedthrough n-tuple method. Tsukamoto method is used for fuzzy inferencing. The inputs in this fuzzy system aretaken from the output of n-tuple method.During the experiments, the system had been trained by 10 data samples for each shape, and then tested by 20data for each shapes. From the experiments, capital letter ‘E’ can be recognized 100% correctly. On the otherhand, the least correctly recognized is shape hexagon which is only 60%.Keywords : Shape Recognition, N-tuple Method, Fuzzy Logic
Perangkat Sistem Parkir Otomatis Berbasis Sistem Minimum Anton Yunus Timothy Adichandra; Hendra Tjahyadi; Arnold Aribowo
Seminar Nasional Aplikasi Teknologi Informasi (SNATI) 2015
Publisher : Jurusan Teknik Informatika, Fakultas Teknologi Industri, Universitas Islam Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Abstract— An automatic parking system miniature modeldesign and implementation is reported in this paper. The systemis a minimum based system using Near Field Communication(NFC) technology, and connected to a database server. Thesystem can be divided into two subsystems, namely a decision andcontrol system, and database server system. Furthermore, thedecision and control system can be divided into two elements: (i)Element 1 which consists of LCD module, NFC module, andEthernet module, and (ii) Element 2 which consists of LCDmodule and stepper motor driver module. The two elements areconnected through a wireless connection using XBee wirelessdevice. To implement the NFC feature, NFC Shield V2.0manufactured by Seed Studio is used. As an initial process, allNFC tags and cards are registered to the database server system.Then the parking process is starting with the detection of NFCtags or cards in Element 1 of the decision and control system.Based on the detection results and the results of querying thedatabase server a decision is then send to Element 2 that willmove the lift to the designated parking lot. In that sense, thesystem is able to allocate the parking space to its users who havethe registered card or tag. Freetronics EtherMega v3.0 is used asthe central processing unit for the system which is used forquerying the database and take actions based on that queryresults. An integrated Ethernet chip on EtherMega is used toconnect the decision and control system to the database serversystem, because the system can connect directly to the databaseserver. A computer that is usually needed to be the middle manfor procession queries is no longer needed. From a number oftests performed, the system works well and can achieve 100%allocation success rate. The system is able to allocate the parkinglot very well and to check whether the lot is occupied or free. Thesystem can also control the lift to move to the appropriate lot.Observed weakness is that the system’s stability is affected byheat generated by the system itself.Keywords—wireless, database, automatic parking, feedforward,RFID