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Jurnal Informatika dan Bisnis
Published by INSTITUT BISNIS DAN INFORMATIKA KWIK KIAN GIE
ISSN : 23019670     EISSN : 24775363     DOI : https://doi.org/10.46806/jib.v12i2
Core Subject : Economy, Science,
Computer Science & IT Economics, Econometrics & Finance
Jurnal Informasi dan Bisnis (JIB) adalah jurnal yang diterbitkan oleh Institut Bisnis dan Informatika Kwik Kian Gie dengan p-ISSN 2301-9670 dan e-ISSN 2477-5363. JIB terbit dua kali dalam setahun, yakni setiap Juni dan Desember, dan telah terbit dalam bentuk cetak (buku) dan elektronik (PDF). Fokus dan bidang di JIB meliputi: Informatika, Ekonomi, Bisnis, Manajemen, Manajemen Informatika, Informatika Ekonomi, Informatika Bisnis, Pembangunan Ekonomi, Informasi Akuntansi, Manajemen Informatika Produksi, Informatika Produksi, Distribusi Informatika, Informatika Konsumen. Kami mendorong pembaca dan penulis untuk mengirimkan artikel berisi ide atau kontribusi orisinal terbaik. Naskah bisa berupa artikel riset kuantitatif, artikel riset kualitatif, artikel review, short communication, metoda riset dan rancangan sistem, dengan syarat memiliki kebaruan dan bermanfaat secara praktis dan akademis.
Arjuna Subject : Ilmu Komputer (semua kategori) - Sistem Informasi
Articles 7 Documents
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Search results for , issue "Vol. 3 No. 2 (2014): Edisi Desember 2014" : 7 Documents clear
Analisi Status Pelanggan Menggunakan Metode Decision Tree Dengan Algoritma C45 Studi Kasus Pada PT.Wisanamitra Argakarya Akhmad Budi
Jurnal Informatika dan Bisnis Vol. 3 No. 2 (2014): Edisi Desember 2014
Publisher : Institut Bisnis dan Informatika Kwik Kian Gie

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Abstract

Along with the development of information technology related to business development thatprovides a lot of choice of alternative solutions to the organization's use of information technology andthe company has become one of the main requirements as a means to increase the value added in thebusiness process. Use of Data Mining can be interpreted as a method of how to improve the quality ofbusiness decisions based on data-related systems. Data Mining processes data into information, and thenthey are processed more further into knowledge that will help the process of analysis of the companyeffectively. This research used C4.5 algorithm to form a decision tree. The decision tree is aclassification and prediction methods. Decision tree method changes the very large fact into a decisiontree that represents the rules. The purpose of this research is analyzing the customers of PT. WisanamitraArgakarya.
Perancangan Sistem Informasi Koperasi Simpan Pinjam Institut Bisnis dan Informatika Kwik Kian Gie Berbasis Microsoft Access 2013 dan Hypertext Preprocessor (PHP) Elis Sondang Dasawaty
Jurnal Informatika dan Bisnis Vol. 3 No. 2 (2014): Edisi Desember 2014
Publisher : Institut Bisnis dan Informatika Kwik Kian Gie

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Abstract

This study used a qualitative descriptive study based on case studies that describe the real stateof the subject under study. Data collection methods used in this study was the observation andstudy of literature as a basis deductive hypotheses.This design results in the form of documents used in this study is a document of cooperativeemployees Institute of Business and Information Kwik Kian Gie. Based on the collection of datafrom documents obtained then analysis of needs (requirements definition) are in need is, CreditUnions reports every month, reports member savings. Where members can see the rest of theloan see the rest of the loan. The conclusion of this paper is the Savings and Loans CooperativeInformation Systems KSB was made to facilitate borrowing and saving view data members. Byusing this system work load becomes lighter because all done in a computerized process. Thusfurther improved the performance of cooperatives.
Aplikasi Pengolahan Data Penjualan Berbasis Teknologi OLAP Vilia Meyana
Jurnal Informatika dan Bisnis Vol. 3 No. 2 (2014): Edisi Desember 2014
Publisher : Institut Bisnis dan Informatika Kwik Kian Gie

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Abstract

Information regarding the sales data required by the stakeholders at SWANISH,PT. analysis as a basis for decision-making and strategy determination. On the otherhand, the number of transactional sales data that occur every day cause difficulties in theprocess of analysis and decision making. To overcome these problems, built a datawarehouse and then the results of the data warehouse will be analyzed through a processof OLAP (On-line Analytical Processing). With OLAP, data analysis needs will be easilymet because OLAP capability to display different reports with different dimensions andsuperior operations such as pivoting, drill down, and filtering.
Analisis dan Perancangan Migrasi Jaringan dari IP4 Ke IP6 Pada PT.XYZ Fuad Mumtaz
Jurnal Informatika dan Bisnis Vol. 3 No. 2 (2014): Edisi Desember 2014
Publisher : Institut Bisnis dan Informatika Kwik Kian Gie

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Abstract

PT. XYZ is a company engaged in installation services / installation and networkmaintenance / maintenance IPv4 Information and Communication Technologies can be used ,then sooner or later the future global change network migration from IPv4 to IPv6 will forceexisting firms to adjust and make changes for structure -based IPv4 to IPv6 networks. PT. XYZrealizes that the company must anticipate changes in the future to begin to learn and implementIPv6 in enterprise networks . PT. XYZ also realized that with the advent of anticipating changefrom IPv4 to IPv6 networks based on a few years, then the company can take advantage ofbusiness opportunities that exist in terms of installation and maintenance services for IPv6network companies and government agencies in Indonesia. Method of transition or migration ofIPv4 to IPv6, including dual stack, tunneling and protocol translation. This research only includesa dual-stack and tunneling methods specifically tunneling. Besides 6to4 become one of the IPv6protocol will be very important in the future , also because there is still room for development ofIPv6 implementation . So this research is expected to be a reference for network administrators ornetwork engineers in PT. XYZ in implementing the migration from IPv4 to IPv6 networks basedin the future.
Analisa Testimonial Wisatawan Menggunakan Text Mining Dengan Metode Naive Bayes dan Decision Tree, Studi Kasus Pada Hotel-Hotel Di Jakarta Budi Wasito
Jurnal Informatika dan Bisnis Vol. 3 No. 2 (2014): Edisi Desember 2014
Publisher : Institut Bisnis dan Informatika Kwik Kian Gie

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Abstract

The ability to express the opinion of lines of text can be extremely useful, and this is a goodarea to be studied, no doubt because of the possibility of commercial value because most informationis now stored as text. In this age of the internet today many reviews, opinions, comments or opinionsare so abundant and scattered in internet media in the form of text, thus giving rise to the term oroverflow of text that can be used as the object of the new knowledge that is what is called Text Mining.Currently, Text mining is believed to have a high potential commercial value. Text Mining is a processthat aims to find the information or the latest trends previously revealed, to process and analyze largeamounts of data. In analyzing part or all unstructured text, text mining to try to associate one with theother parts of the text based on certain rules.Besides text mining is also interpreted as a data mining activities from the data in the form oftext or a document, with the aim of searching for words that can represent what is in the document so itcan be analyzed in text mining connectedness, In the processing Text Mining conducted priorTokenizing process, Filtering, Stemming, Tagging and Analyzing. Stages of the process is carried outwith the help of tools Semantria. Results semantria process tool is a classification based sentimentanalysis. After appearing classification sentiment analysis, the next step was measured by the methodof Naive Bayes and Decision Tree. Baselines to generate corresponding processed products is to ensurethe characteristics of the data related to the objectives to be achieved from the study.In the context in the field of Text Mining There are a variety of processing one of which is withProcess Mining with a focus on the classification.The processed text mining based on sentimentclassification, the region with the sequence that has the highest positive sentiment Central Jakarta(80.7%) and North Jakarta (71.2%), East Jakarta (65.1%), West Jakarta (65% ) and South Jakarta(63.8%).
Analisis dan Perancangan Situs Web Alumni Sistem Informasi dan Teknik Informatika IBI Kwik Kian Gie Humdiana Humdiana
Jurnal Informatika dan Bisnis Vol. 3 No. 2 (2014): Edisi Desember 2014
Publisher : Institut Bisnis dan Informatika Kwik Kian Gie

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Abstract

Information system develops rapidly that enable alumnus to get in touch each other. This research isintended to analyze and design website connecting IBII alumnus mutually and to do tracing study.Thisalumnus website uses PHP programming language and assisted by mySQL database utilized normalizedtable.Collecting data are done by observation and interviewing. Research is using analytic and individualmethod. Design is using Unified Modelling Language (UML) process. The result of this research is analumnus website that is enable to connect alumnus mutually and to do alumnus tracing study.Alumnuswebsite is able to make alumnus connecting each other and sharing mutually, also for IBII to do alumnustracing study easily.
Aplikasi Pengujian White Box IBII Online Jugde Joko Susilo
Jurnal Informatika dan Bisnis Vol. 3 No. 2 (2014): Edisi Desember 2014
Publisher : Institut Bisnis dan Informatika Kwik Kian Gie

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Abstract

The development of information and communication technology assist people in variousaspects of human life. One aspect of those is education. Utilization of information and communicationtechnology in education is useful for users to understand the learning materials quickly and easily.Currently there has been online judge system which used for practice work on the problems ofprogramming. IBII provides a means for students majoring in information systems and informationtechnology for practicing programming capabilities through IBII Online Judge. In IBII Online Judge,there is a problem with the requirements of the use of algorithms and data structures. The purpose ofthis study is to design and create a white-box testing application that can assist test on IBII OnlineJudge. Application of white-box testing IBII Online Judge in this study developed using the Javaprogramming language. The design of white-box testing utilized the theory of lexical analysis withknowledge of algorithms and data structures. This study was developed using the methods of systemsdevelopment life cycle (SDLC) waterfall model. The design of the system used in this study describedas an object-oriented by using Unified Modeling Language (UML) such as use case diagram, classdiagrams, sequence diagrams and activity diagrams. The results of this study were white-box testingapplication that can assist test on IBII Online Judge. The conclusions of this research is theapplication of white-box testing IBII Online Judge useful to perform testing on the user’s submittedsource code to the requirements of IBII Online Judge problem in the use of algorithms and datastructures.

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