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INDONESIA
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 6 Documents
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Search results for , issue "Vol. 6 No. 2 (2017): Edisi Desember 2017" : 6 Documents clear
ANALISA DAN KLASIFIKASI SENTIMENT OPINI PENONTON PADA WEBSITE IMDB.COM DENGAN ALGORITMA SUPPORT VECTOR MACHINE Akhmad Budi, S.Kom., MM., M.Kom
Jurnal Informatika dan Bisnis Vol. 6 No. 2 (2017): Edisi Desember 2017
Publisher : Institut Bisnis dan Informatika Kwik Kian Gie

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Abstract

In its development, information technology brought about many changes and advances in the context of everyday life. One of the benefits of information technology to process and process large amounts of data is data mining and text mining. In this study the authors will analyze and discuss the sentiment (emotion) contained in a comment or post on reviews given by the audience on a movie and see whether it will be classified as positive sentiment or negative so that it can be used to classify the reviews on different movies at imdb.com in the future. This research will gain some classification models based on modeling with support vector machine algorithm to classify the opinion of the new movie and the level of accuracy of each models. Also there will be a wordlist data that contains details of each positive and negative comments in the classification process. Results of this study indicate that it is possible to create a classification model based on audience opinions to classify new opinion using support vector machine algorithms with a high degree of accuracy and produce the details of words in the wordlist database to find a word or phrase that affects most to determine the sentiment in an opinion.Keywords : Classification, Opinion, Audience, Movie, Website, Data Mining, Text Mining, Sentiment Analysis, Support Vector Machine
IMPLEMENTASI APLIKASI FULL STACK WEB DEVELOPMENT UNTUK DATA ADMIN PADA MEDIA SOSIAL BUZZBUDDIES Roelly Humdiana, S.Kom., MM., M.Kom
Jurnal Informatika dan Bisnis Vol. 6 No. 2 (2017): Edisi Desember 2017
Publisher : Institut Bisnis dan Informatika Kwik Kian Gie

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Abstract

Now, the internet and mobile phone technology is getting more advanced then social media also grows rapidly. In the dependence of human needs on social media and the rapid development of technology is making the number of new social media applications that appear in virtual worlds such as social media Buzzbuddies. This research is motivated by the difficulty of how Data Admin Buzzbuddies manage, organize data on social media Buzzbuddies and still depend on Backend Programmer which takes longer time. In addition, there is no report of available user data. This research use PostgreSQL for the database, AngularJs for client-side framework, Node.js for a server-side platform and Express for a server-side web application framework. This technology works together well as a stack. The purpose of this research is to make application can improve the effectiveness, reduce the work load and time and make the best of performance. In addition, the application is also able to provide data for analysis and decision support and able to manage data rationally. Keywords : full stack, web application, data admin, social media
IMPLEMENTASI APLIKASI PEMESANAN MAKANAN SERVICE DAN RESERVASI BERBASIS WEB PADA RESTORAN EKA RIA Elis Sondang Dasawati, S.Kom., MM., M.Kom
Jurnal Informatika dan Bisnis Vol. 6 No. 2 (2017): Edisi Desember 2017
Publisher : Institut Bisnis dan Informatika Kwik Kian Gie

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Abstract

Increasingly Evolving her a restaurant, the greater the data that must be processed to be accurate information manual processing has many problems few examples of cases when an employee or any admin convey information about the order list. menu prices were not reasonable because it is too expensive if it happens then the restaurants need to spend money to print the list menu again and be a waste of capital. Seeing an issue with such problems researchers offered a WEB-based application implementation to process the booking, price information, promotions, reservations and sales reports. This application is made with programming language PHP Hypertext Prepocessor ", which is a programming language that is widely used for handling the manufacture and development of a website and can be used in conjunction with HTML. Jquery collection javascript library simplifies Javascript code by calling the functions provided by jquery . Javascript itself is a scripting language that works side Client / Browser so that websites can be more interactive text editor used to implementation this is Aptana studio3.1. The collection of information is done with indirect observation methods and interview with a restaurant employee Eka Ria.untuk implementation method using this app has many features to support activity in the restaurant eka- ria As a menu to order food, bill printing, information relating to the reservation sperti information package info leases for prediction of total rental price of the room with the package and manufacturing sales report. Results from this study is a food ordering application, reservation service and transactions can be easy for customers to mendpatkan food menu and pricing information, and simplify admin of booking meals to get information about sales reports. The conclusion of this study is the application that can be easier to get the information menu, ordering food, making auto sales reports and reservations  Keywords: booking seafood, sales reports, WEB reservation
ANALISIS DAN PERANCANGAN SISTEM INFORMASI INVENTORY PADA CV . GIAT MANDIRI Joko Susilo, S.Kom., MM., M.Kom
Jurnal Informatika dan Bisnis Vol. 6 No. 2 (2017): Edisi Desember 2017
Publisher : Institut Bisnis dan Informatika Kwik Kian Gie

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Abstract

CV. Giat Mandiri is a commanditaire vennootschap that sells foodstuffs and the system used today is still in the manual category. This study uses several theories as a basis for performing analysis and design of information systems sales and inventory. The result of this research is an application of sales information system and inventory of goods. This application aims to facilitate the process of recording CV transactions, make reports quickly and accurately, and provide information about inventory. Keywords: information systems, inventory
IMPLEMENTASI APLIKASI UJIAN DARING BERBASIS WEBSITE PADA SMA BUDI MULIA JAKARTA Supriyanto Karya
Jurnal Informatika dan Bisnis Vol. 6 No. 2 (2017): Edisi Desember 2017
Publisher : Institut Bisnis dan Informatika Kwik Kian Gie

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Abstract

Implementation of the exam in SMA Budi Mulia Jakarta still use conventional methods that require time, cost and considerable energy. The semester exam activity usually begins with the teacher of the subject making exam questions by hand writing, then the SAS (Student Administration System) will type and double the test of the student, then after the exam is completed, the teacher checks the student answer sheet one by one. Understanding the online exam is a test held by using the computer as the main media in conducting the exam. The Online Exam is a new innovation in the digital age of technology. Online exams are able to present an evaluation / exam system managed by a local server. In this case the research method used is a method by collecting and describing data about the state directly from the field and precisely the object of research to obtain data relevant. The system that is running at SMA Budi Mulia is described in the form of flowchart. The results of the design of online exam system that is running consists of several components diagram of the Contex Diagram Exam Oline Application, Use Case on Online Exams, Activity Diagram Making Problems and Activity Diagram Online Exam. The design of the menu structure contained in the online exam application. With the online exam application, the teacher of the field of study can type the exam of the student, the SAS (Student Administration System) that helps the teachers of the study field to type the student exam questions, and the correction of student answers will automatically enter into the system of student test results in the teacher's field of study.Keywords: Online Exam Application, Website, SAS (Student Administration System
ANALISIS DAN PENGELOMPOKKAN LAPORAN PENGADUAN MASYARAKAT PADA SISTEM LAPOR.GO.ID DENGAN ALGORITMA K-MEANS PERIODE 2013-2015 Sigit Birowo, S.Kom., M.Kom
Jurnal Informatika dan Bisnis Vol. 6 No. 2 (2017): Edisi Desember 2017
Publisher : Institut Bisnis dan Informatika Kwik Kian Gie

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Abstract

Indonesian people has a lot of access to share information about events that occur in everyday life that so the reports data that can be obtained are very numerous. In this study the authors will carry out the implementation and grouping with applying text mining method on report data from LAPOR.go.id to find and classify complaint topics that is most frequently reported with the k-means algorithm.Within the applications, text mining is an advanced technique to analyze and process the textual data that is part of data mining. The application of text mining is used to process the report data prior to the clustering and cluster modeling based on k-means algorithm. Keywords : Reports, Complaints, People, Report, Trending, Grouping, Cluster, Text Mining, Data Mining, K- Means

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