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The Analysis and Design of System Information in KPR Decision Making Using AHP and SAW methods (Study Case: PT. Bintang Baru)
No full textIn this era, the development of information technology is so fast that it cannot be looked away. This development of information technology is going to affect many kinds of fields, including developer. The point of this development is to help the work done by the people become easier. One of its benefit is in decision making. Decision mistakes is one of the general problems that usually happened in decision making. A system will be made with the purpose to ease the decisions making process through methods. The methods are Analytical Hierarchy Process (AHP) as weight calculation and Simple Addictive Weighting (SAW) as an alternative calculation media. In this system there are 5 criteria which are: non-fixed income, living cost, age, SPT Pph Ps. 21 for credit and paycheck. There are 11 alternative that can be used as a consideration for the manager. By using AHP method which has a consistent ratio reaching 96,62% and SAW, the selection process is going to be faster than it used to be, helping the Manager in making the decision also lessen the use of space and pape
Perancangan Aplikasi Penentu Jurusan IPA atau IPS Pada SMA Menggunakan Fuzzy Logic
Full text linkPenelitian ini didasari oleh kurangnya persiapan siswa dalam memilih penjurusan yang tepat akan berdampak pada pelajaran yang nantinya akan di pelajarinya. Perkembangan teknologi yang semakin canggih yang sekarang telah membuat banyak organisasi atau lembaga menggunakannya sebagai media yang pengolahan data, mendukung kemampuan Komputer dalam pengolahan data telah sangat mendukung dalam menghadirkan information bahwa mudah, akurat dan berkualitas. Seperti dengan organisasi atau lembaga lain. Pada penelitian akan menerapkan logika fuzzy metode Tsukamoto dalam mencari penjurusan yang tepat pada siswa di SMA. Keuntungan penggunaan logika fuzzy adalah dapat melakukan observasi objektif terhadap nilai-nilai yang bersifat subjektif. Adapun variable yang akan diproses dalam logika fuzzy adalah nilai dan minat. Hasil tes siswa akan menjadi nilai masukkan yang kemudian diproses didalam logika fuzzy. Nilai tersebut diproses kedalam tiga tahapan logika fuzzy yaitu fuzzifikasi, penalaran dan defuzzifikasi. Hasil dari penjurusan ini yang kemudian akan menjadi panduan siswa dalam mengoptimasi proses pembelajaran
Implementation of XMPP Protocol on Android Pulse Filling Application
Full text linkAlong with the increasing capabilities of mobile devices, the need for pulses is also growing rapidly. Currently resellers only utilize the technology SMS (Short Message Service) in conventional to conduct transactions. To assist in the more efficient pulse delivery process, it was built using the XMPP protocol. In this study using Extreme Programming design method with 4 (four) stages of process planning, design process, coding process and testing process. The results of testing conducted by using black box testing as well as questionnaires from the resellers, applications that help in the transaction pulse, and improve the efficiency of time in the process of pulse delivery
Implementation eBudgeting Against Performance PT Primer Eka Property Through Internal Control
Full text linkoai:jurnal.ubd.ac.id/index.php:article/11Cost management budget applications are needed by the Company in the business process. The design of the budget system to be built aims to create a budget that will be used for a certain period and without any changes in the current period so that the system can produce an accurate report and improve the effectiveness and efficiency in determining the funds required division. Data collection method used is by doing observation, interview and literature study. The design result of this writing is a budget management system in the form of web cost so that the control in the financing required by each division and can avoid the occurrence of excess or lack of budget. Based on the results of the design and implementation of the budget draft can solve the problem in the process of financing at PT Primer Eka Property
Expert System Selection Topics Thesis Title With Forward Chaining Method Web-Based
Full text linkExpert Systems are computer-based applications that are used to solve problems as the expert thinks. Many college students majoring in Information Technology are difficult to get the thesis title topic even though it has been reading many journals and looking for some references. Therefore to make it easier college students, then the author wants to create an application where college students majoring in Information Technology can more easily get the thesis title topic so the work of thesis becomes more fluent and not obstructed. This app is web based. In system design, the author used several methods in his research that is method of Analyze, Design, and Implementation. Methods in the design of this expert system even this also used forward chaining method as tracking ahead and best first search method. And also using data collection method mean literature study and questionnaire from system that has been created. The result of Expert System of Thesis Title Topic Selection with Forward Chaining method web based expected to be useful and helpfully college students in getting the thesis title topic. Based on questionnaire that has been shared and filled, it can be said that the Expert System of Thesis Title Topic Selection with Forward Chaining Method Web Based is helpful and beneficial for the college students because it helps college student Information Technology in getting Thesis Title
Analisis Performance Fuzzy Tsukamoto Dalam Klasifikasi Bantuan Kemiskinan
Full text linkThe Central Bureau of Statistics (BPS) showed that the poverty rate in Indonesia in September 2014 still high at about 27.7 million people, or about 10.96%. As a basis for policy countermeasures, understand the problem of poverty often demands the effort of defining, measuring, and identifying the root causes of poverty. This study wanted to use one of the methods that exist in fuzzy logic to classify beneficiaries of poverty that exist in Bantul. Fuzzy Inference System used in this study using Tsukamoto with 8 rule established by a group of poor criteria and types of poverty relief. There are three groups of criteria of poverty derived from 11 criteria of poverty in Bantul. While the types of assistance that are used are Raskin, BLT and KUR. The system is built using PHP. To see the performance Tsukamoto method in this study used 50 data poor people in Sub Districs Banguntapan. From the test results turned out to obtained an accuracy of 52%, meaning that there were 26 correct data according to the original data. It is necessary to modify the rules and membership functions to improve system accuracy result
Application of Neural Network Methods Based on Genetic Algorithm for Breast Cancer Prediction
Full text linkCancer is a major challenge for mankind. Cancer can affect various parts of the body. This deadly disease can be detected in people of all ages. However, the risk of cancer increases with increasing age. Breast cancer is the most common cancer among women, and form largest cause of death for women as well. Then there are problems in the detection of breast cancer, resulting in the patient experiencing unnecessary treatment and cost. Insimilar studies, there are several methods used but there are problems due to the shape of the cancer cells are nonlinear. Neural networks can solve these problems, but neural network is weak in terms of determining the value of the parameter, so it needs to be optimized. Genetic algorithm is one of the optimization methods is good, therefore the values Γ’β¬βΉΓ’β¬βΉof the parameters of the neural network will be optimized by using a genetic algorithm so as to get the best value of the parameter. Neural Network-based GA algorithm has the higher accuracy value than just using Neural Network algorithm. This is evident from the increase in value for the accuracy of the model Neural Network algorithm by 95.42% and the accuracy of algorithm-based Neural Network algorithm GA (Genetic Algorithm) of 96.85% with a difference of 1.43% accuracy. So it can be concluded that the application of Genetic Algorithm optimization techniques to improve the accuracy values on Neural Network algorithm
Perancangan Aplikasi Prediksi Kelulusan Mahasiswa Tepat Waktu Pada Universitas Buddhi Dharma Menggunakan Perbandingan Algoritma C4.5 dan K-NN
No full textKoleksi data pada database sistem informasi akademik Perguruan Tinggi sering tidak dimanfaatkan secara maksimal, padahal dari data tersebut dengan teknik data mining dapat memberikan pengetahuan yang belum diketahui sebelumnya. Tujuan dalam penelitian ini yaitu mengetahui cara membentuk model prediksi tingkat kelulusan mahasiswa tepat waktu pada Universitas Buddhi Dharma Tangerang melalui data kelulusan mahasiswa. Evaluasi kinerja klasifikasi dilakukan untuk mengetahui seberapa baik keakuratan dari suatu model yang terbentuk dengan perbandingan algoritma C4.5 dan K-NN. Pengujian dilakukan dengan Confusion Matrix dan kurva ROC. Hasil akurasi yang diperoleh membuktikan bahwa Algoritma C4.5 menghasilkan persentase akurasi 90% dan K-NN menghasilkan persentase akurasi 87%. Dengan demikian algoritma C4.5 memiliki nilai akurasi lebih tinggi dibanding K-NN. Algoritma C4.5 ini dapat digunakan untuk pembuatan aplikasi prediksi kelulusan mahasiswa tepat waktu pada Universitas Buddhi Dharma