Paradigma
The first Paradigma Journal was published in 2006, with the registration of the ISSN from LIPI Indonesia. The Paradigma Journal is intended as a media for scientific studies of research, thought and analysis-critical issues on Computer Science, Information Systems and Information Technology, both nationally and internationally. The scientific article refers to theoretical review and empirical studies of related sciences, which can be accounted and disseminated nationally and internationally. Paradigma Journal accepts scientific articles research at: Expert Systems, Information Systems, Web Programming, Mobile Programming, Games Programming, Data Mining, and Decision Support Systems.
Articles
347 Documents
PENENTUAN NILAI KREDIT DENGAN ALGORITMA KLASIFIKASI SUPPORT VECTOR MACHINE BERBASIS PARTICLE SWARM OPTIMIZATION
Ella Nurelasari
Paradigma Vol 18, No 1 (2016): Periode Maret
Publisher : LPPM Universitas Bina Sarana Informatika
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DOI: 10.31294/p.v18i1.870
Bad credit is one of the credit risk faced by the financial industry and banking. Credit jams can be avoided by means of an accurate credit analysis of borrowers. The accuracy of credit ratings is crucial to the profitability of financial institutions. Improved accuracy of credit ratings can be done by selecting the attributes, because the selection of attributes reduce the dimensionality of the data so that the operation of the data mining algorithms can be run more effectively and more quickly. The purpose of this study is to apply the Particle swarm optimization (PSO) to do the selection of attributes on a Support Vector Machine to improve the accuracy of the accuracy of credit analysis at anugerah.Banyak employee cooperative research has been conducted to determine credit ratings. One of the methods most widely used method of support vector machine. In this study will be used method of support vector machine and will have the attributes using the Particle Swarm Optimization for determining credit ratings. After testing, the results obtained are support vector machine produces accuracy rate 74.74%, 82.03% and AUC values precision value of 0.643. Then the selection of attributes to use, particle swarm optimization in which the attributes which originally numbered 11 predictor variables were selected seven attributes used. The results showed a higher level of accuracy that is equal to 81.36%, 83.08% and AUC values precision value of 0.689. There by achieving an accuracy improvement of 6.62%, and increase the AUC of 0.147. By looking at the values of accuracy and AUC, support vector machine algorithm particle swarm optimization into classification category enough.
FILE SHARING SERVER MENGGUNAKAN SAMBA SERVER DAN LINUX UBUNTU 12.04 SERVER
Andi Nugroho;
Yopi Handrianto
Paradigma Vol 18, No 2 (2016): Periode September
Publisher : LPPM Universitas Bina Sarana Informatika
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DOI: 10.31294/p.v18i2.1177
Data storage on server laboratory at the computer science when needed.It was because application that progressively and document required was handled by more than one person.Currently there are 6 class space the laboratory contained 30 units of computer in each room. All the time, Laboran (person who manage and work in a laboratory) have to bring harddrive external if you want to install application needed for each the lab, but during this laboran has only two external hard drive. This condition resulted in the process of installation application in the laboratory require a long time. In addition, every month laboran have to make recapitulation contract for 22 person laboratory’s assistant. Now, to make contract assistant in the lab, laboran have to open one of the workstations that is in the fasilkom’s laboratory. This can slow performance, because laboran have to coming into the fasilkom’s laboratory. By the presence of the problems mentioned above, then built a file sharing that is used to hold the application of which is required in the entire room of Fasilkom’s laboratory. In addition, a file sharing this can be used to speed up the emoluments of the preparation of reports on the whole lab assistant that until now had been stored luminance space laboratory so that laboran no need to use more external hard disk in installation perform the process of application by opening the Samba through Windows Server Explorer. It is also the case to compile the report honorarium of the lab’s assistant, laboran enough to use of a file sharing fastly. A file sharing development is using the Linux Ubuntu operating system Version 12.04 and the application of the Samba Servers the Samba to connect storage a file that is in linux so that it can be opened in a windows or linux operating system based. Keywords : File Sharing Server, Samba Server, Linux Ubuntu, Computer Lab.
PERANCANGAN SISTEM INFORMASI PELAYANAN HOTEL MENGGUNAKAN METODE WATERFALL
Tuti Haryanti
Paradigma Vol 15, No 1 (2013): Periode Maret 2013
Publisher : LPPM Universitas Bina Sarana Informatika
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DOI: 10.31294/p.v15i1.2202
Usefulness of the information as the basis for decision making, have a significant role. If decisionmakersget the wrong information then issued a decision would be wrong. Hence the dataprocessing to be used as an information need to be done systematically. Hotel room service is onebusiness that has a lot of data that can change at any time, so it needs a way or steps that can helpin carrying out any business activity that the system services used by Nusantara Hotels in the roomrental deal can be done computerization. Development by computer technology is so rapid, it canbe used as an alternative means to build an information system. By utilizing computer technologyexpected an information system can generate accurate, relevant and timely.Keywords: design, hotel services, information systems
APLIKASI ALGORITMA K-MEANS UNTUK PEMETAAN MINAT NASABAH TERHADAP PRODUK ASURANSI JIWA SYARIAH
. Sismadi
Paradigma Vol 16, No 1 (2014): Periode Maret
Publisher : LPPM Universitas Bina Sarana Informatika
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DOI: 10.31294/p.v16i1.730
Potential customer is someone who became accustomed to buying that formed through the changes and interactions that often during a certain period, by agreement between the seller and buyer. Mapping of potential customers by marketing analysts insurance is less accurate and difficult when the data storage media owned by large and multi dimensional. These problems required the mapping model that canclassify potential customers against certain insurance products. Model K-means algorithm can be used to mapping or classify customers based on profiles that have the potential to be an individual life insurance products with a level of accuracy reached 30%. Measurement similarity level, homogeneity and errors that are used in this study is a method of measuring cohesion and variations. Measurement method with a internal measurement methods with the Sum of Square Error.
PEMANFAATAN E-TAILING UNTUK MENINGKATKAN PENJUALAN DAN DAYA SAING PADAUSAHA KECIL DAN MENENGAH
Yesni Malau
Paradigma Vol 16, No 2 (2014): Periode September
Publisher : LPPM Universitas Bina Sarana Informatika
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DOI: 10.31294/p.v16i2.774
Artificial intelligenceis apart ofcomputerscienceis widely usedbecause of its abilitytomimicthe humanway of thinking. Andthe concept ofe-tailing is asystem ofselling and buyingproducts, information, andservices performedbya computernetworkutilizingtheInternet. E-taling in the marketingof goodsneededin expandingoutreachmarketingto increasesalesand competitiveness ofsmall and medium enterprisesthat will increaserevenue forthe business, withpemnafaatne-tailing, the transaction can bedone anytimeand anywherewithoutanyrestrictionof time. Andthee-tailing marketing costswould be farmoreeffective thanconventional salesmeets allthe requirementsbyproviding consumers with theinformationandservice excellenceshouldbe the main focus, withthe sales of thesystemto implementthe e-tailing onsmall and medium enterprisesis a solutionthe righttoincrease salesandbusiness competitiveness.
SIP: PROTOKOL KOMUNIKASI MULTIMEDIA
Suryanto Suryanto
Paradigma Vol 9, No 2 (2007): Periode April 2007
Publisher : LPPM Universitas Bina Sarana Informatika
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DOI: 10.31294/p.v9i2.1154
Layanan komunikasi multimedia terus berkembang seiring dengan perkembangan teknologi Next Generation Network (NGN) yang ditujukan untuk lebih mengoptimalkan dan mengefisienkan penggunaan jaringan. SIP (Session Initiation Protocol) merupakan salah satu protocol yang mendukung layanan yang tidak hanya voice namun juga layanan data yang sangat beragam atau disebut juga layanan multimedia, dan hampir semua perangkat telekomunikasi saat ini sudah support SIP.
DATA MINING DENGAN ALGORITMA APRIORI UNTUK PENENTUAN ATURAN ASOSIASI POLA PEMBELIAN PUPUK
Amrin Amrin
Paradigma Vol 19, No 1 (2017): Periode Maret
Publisher : LPPM Universitas Bina Sarana Informatika
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DOI: 10.31294/p.v19i1.1836
In order to find out what fertilizer purchased by consumers, can be done with analytical techniques that is the analysis of consumer buying habits. Detection of fertilizers often purchased simultaneously is done using association rules. In this research will be used a priori algorithm for determining the rules of association of fertilizer purchases. From the results of the discussion and analysis of data can be concluded that with the application of a priori algorithm in determining the combination between itemsets with minimum support of 20% and minimum confidence 75% found 6 association rules, which has the highest value of support and confidence is if the consumer made a purchase transaction of fertilizer Organic and urea fertilizers simultaneously with the value of 60% support and 86% confidence value. Thus, if there are consumers buying organic fertilizers, then the possibility of consumers buying urea fertilizer is 86%.
SISTEM INFORMASI ABSENSI PADA PT. POS INDONESIA KANTOR WILAYAH USAHA POS IV JAKARTA
Frans Edward Schaduw
Paradigma Vol 16, No 1 (2014): Periode Maret
Publisher : LPPM Universitas Bina Sarana Informatika
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DOI: 10.31294/p.v16i1.715
PT . POS INDONESIA Jakarta business area IV is a big company engaged in the field of services and has many parts . In each section consists of many employees Here the authors see with so many personnel will require good attendance system . Once the authors refer to the attendance is there still using signatures attendance . Trying authors using the waterfall method to see how to analyze the existing problems in the existing manual attendance at these services firm by interviewing and questioning the assistant manager of human resources services and direct observation of activities studied . Here can be seen at the time of manufacture rekab absent very time consuming lama.Setelah the author tries to design phase , here the authors use a tool that is a data flow diagram data for designing how the system of making data flow information needed for absentee company 's services . So did the author use to design normalized tables and fields are required for building information systems absentee PT . Pos Indonesia Jakarta Region IV effort . In attendance system will be able to see out the inclusion of employees with more detail , as well as the human resources department to see employee who is absent at the desired date and can see the recap missed months with very clear that recap absent sick , do not get in , overtime with very precise , accurate and fast . So that reporting to the other parts that need to be very fast tersajinya attendance reporting . With the absence of this information system will help a lot of PT . Pos Indonesia Jakarta Region IV businesses and can help managers to make decisions to improve the performance of the company employees
PENINGKATAN BACKWARD ELIMINATION DENGAN WINDOWED MOMENTUM UNTUK PREDIKSI KONTRASEPSI
EVY PRIYANTI
Paradigma Vol 17, No 2 (2015): Periode September
Publisher : LPPM Universitas Bina Sarana Informatika
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DOI: 10.31294/p.v17i2.749
Rapid population growth rate that can influence government policies on various aspects of life. It is necessary for the proper way to reduce the rate of population growth and create a safer contraceptive choice. Windowed momentum is a technique to improve the performance in backpropagation learning. But to ensure the accuracy of the momentum needed windowed performance computing methods such as neural networks to solve problems with the accuracy of data and not linear. Neural Network Optimization tested weeks to produce the best accuracy rate, applying Neural Network-based Backward Elimination aims to raise the accuracy produced by Neural Network. Experiments were performed to obtain the optimal architecture and generate increased accuracy. The results of the research is a confusion matrix to prove the accuracy of Neural Network before Backward Elimination is optimized by 54.64% and 57.03% after optimize. This proves estimate windowed momentum trials using neural network-based method Backward Elimination more accurate than the individual methods of neural network.
MONITORING JARINGAN MENGGUNAKAN MRTG
Frieyadie Frieyadie
Paradigma Vol 8, No 1 (2006): Periode September 2006
Publisher : LPPM Universitas Bina Sarana Informatika
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DOI: 10.31294/p.v8i1.1082
MRTG terdiri dari suatu script Perl yang mengunakan SNMP (Simple Network Management Protocol ) yang berfungsi untuk membaca lalu lintas didalam suatu peralatan Router. Suatu program dalam bahasa C secara cepat mencatat (log) lalu lintas data dan menciptakan grafik yang mewakili lalu lintas pada suatu koneksi jaringan yang dimonitor. Grafik ini ditempelkan ke dalam webpages yang dapat dilihat dari Web-Browser apapun. Dari MRTG ini anda dapat melihat sejauh mana trafik yang berjalan dari suatu komputer pada saat mengakses pada suatu jaringan. Agar bisa berkomunikasi dengan menggunakan saluran komunikasi kabel, dibutuhkan perangkat modem. Modem yaitu perangkat yang berfungsi sebagai modulator dan demodulator atau alat yang berfungsi mengubah sinyal analog menjadi sinyal digital atau sebaliknya