cover
Contact Name
-
Contact Email
-
Phone
-
Journal Mail Official
-
Editorial Address
-
Location
Kota semarang,
Jawa tengah
INDONESIA
JURNAL SISTEM INFORMASI BISNIS
Published by Universitas Diponegoro
ISSN : 20883587     EISSN : 25022377     DOI : -
Core Subject : Economy, Science,
JSINBIS merupakan jurnal ilmiah dalam bidang Sistem Informasi bisnis fokus pada Business Intelligence. Sistem informasi bisnis didefinisikan sebagai suatu sistem yang mengintegrasikan teknologi informasi, orang dan bisnis. SINBIS membawa fungsi bisnis bersama informasi untuk membangun saluran komunikasi yang efektif dan berguna untuk membuat keputusan yang tepat waktu dan akurat. Business intelligence sebagai dasar pengembangan dan aplikasi SINBIS menjadi kerangka kerja teknologi informasi yang sangat penting untuk membuat agar organisasi dapat mengelola, mengembangkan dan mengkomunikasikan aset dalam bentuk informasi dan pengetahuan. Dengan demikian SINBIS merupakan kerangka dasar dalam pengembangan perekonomian berbasis pengetahuan.
Arjuna Subject : -
Articles 8 Documents
Search results for , issue " Vol 2, No 2 (2012): Volume 2 Nomor 2 Tahun 2012" : 8 Documents clear
Rancang Bangun Sistem Informasi Customer Loyalty untuk Keunggulan Kompetitif Organisasi Mulyani, Sri; Mustafid, Mustafid; Widodo, Catur Edi
JURNAL SISTEM INFORMASI BISNIS Vol 2, No 2 (2012): Volume 2 Nomor 2 Tahun 2012
Publisher : Magister Sistem Informasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (394.22 KB) | DOI: 10.21456/vol2iss2pp053-057

Abstract

Utilization of information technology to achieve competitive advantage has become a necessity  for business people and managers of organizations  in the information age now. This research aim to create a customer loyalty that the information system is one part of theCustomer  Relationship  Management  to  collect  data  on  indicators  of  customer  loyalty.  Indicator  of  customer  loyalty  is  determined according  empirical  model  customer  loyalty  and  create  customer  loyalty  information  system  that  can  be  used  to  gain  competitive advantage organizations. Structural Equation Modeling is used to obtain indicators of customer loyalty. Customer loyalty info rmation system designed using prototype system development and modeling analysis using Data Flow Diagram, database design using  Entity Relationship  Diagram,  and  a  web-based  interface.  Web-based  information  systems  that  provide online  customer  survey  facilities  and analysis  results  in  the  form  of  customer  loyalty  index  values  shaped  by  the  dynamic  graphic  indicator  of  loyalty  according  to  the empirical study of customer loyalty that can be used to gain competitive advantage. The value of customer loyalty index cons ists of four main variables, namely: the ability to anticipate customer value, customer value anticipation peace, customer satisfaction, and loyalty.Keywords: Customer loyalty, Structural Equation Modeling, Index loyalty, Competitive advantage
Aplikasi Sistem Pakar untuk Diagnosa Penyakit Hipertiroid dengan Metode Inferensi Fuzzy Mamdani Kamsyakawuni, Ahmad; Gernowo, Rachmad; Sarwoko, Eko Adi
JURNAL SISTEM INFORMASI BISNIS Vol 2, No 2 (2012): Volume 2 Nomor 2 Tahun 2012
Publisher : Magister Sistem Informasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1022.805 KB) | DOI: 10.21456/vol2iss2pp058-066

Abstract

Medical  diagnosis  is  a  complex  issue  that  is  influenced  by  various  factors  and  settlement  involving  all  the  capabilities  of  experts, including expert intuition owned. Diagnosis of thyroid disease is difficult,  because the symptoms of thyroid disease can vary greatly, depending  on  the  ups  and  downs  of  thyroid  hormones.  This  study  applies  an  expert  system  for  diagnosis  of  hyperthyroidism  using Mamdani fuzzy inference methods. Expert system expertise needed to gain knowledge from the experts in resolving hyperthyroidism diagnosis  while  Mamdani  fuzzy  inference  is  used  for  the  processing  of  knowledge  in  order  to  obtain  the  consequence  or  conclusion which is the result of diagnosis. The process ofMamdani fuzzy inference in this study began with the formation of fuzzy set continued with the application process implications functions, then the composition rule and ending with defuzzyfication process. An expert system for the diagnosis of hyperthyroidism that has been applied with a symptom score of the input data, the results of the blood t ests TSHs level and FT4 levels, output data in the form of diagnosis, the diagnosis has been successfully  for tested the input data, with an accuracy of 95.45%.Keywords: Expert systems; Fuzzy inference Mamdani; Hyperthyroidism
Sistem Temu Kembali Informasi dengan Metode Vector Space Model Amin, Fatkhul
JURNAL SISTEM INFORMASI BISNIS Vol 2, No 2 (2012): Volume 2 Nomor 2 Tahun 2012
Publisher : Magister Sistem Informasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (700.5 KB) | DOI: 10.21456/vol2iss2pp078-083

Abstract

The information retrieval system (IRS) now provides  document  search results  with abundant results of  documents  (high recall) and low accuracy  (low  precision).   The  objective  of  designing  IRS  with  Vector  Space  Model  (VSM)  Method  is  to  facilitate  users  to  searchIndonesian  documents.  IRS  Software  is  designed  to  provide  search  results  with  the  optimum  number  of  documents  (low  recall)  and accuracy (high precision) with VSM method  that users  may  get fast and accurate  results.  VSM  method  provides a different  credit  for each  document  stored in  a  database  which in turns to determine  the  document most similar  to  the query,  where the documents with the highest credits are placed  on the top of  the  search results.  The evaluation  of  search results  with  IRS  is conducted under  recall  andprecision tests.  This study  fascinatingly creates  a system which can preprocess  (tokenizing,  filtering,  and  stemming)  within  computation time  of four  minutes  forty-one seconds.  The system  can  search  the  documents  and  display  them in  the search results  with an averagecomputation time of 1.5 seconds, with  an average recall of 0.19, and an average precision of 0.54.  The system is equipped with a credit for each document, and the value is positioned on which a user may easily search the Indonesian text.Keywords: IRS, Vector Space Model, Recall, Precision
Sistem Informasi Lulusan Dengan Metode Online Analitycal processing (OLAP) Pada Politeknik Negeri Kupang Ndoloe, Lita Alfriany
JURNAL SISTEM INFORMASI BISNIS Vol 2, No 2 (2012): Volume 2 Nomor 2 Tahun 2012
Publisher : Magister Sistem Informasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (594.422 KB) | DOI: 10.21456/vol2iss2pp084-088

Abstract

The  educational  institution  need  the  leadership/  decision  makers  are  always  trying  to  find  some  information  /  decisions  that  are beneficial to the students, so that when they graduate can get a job quickly. To make it easier to get the information using OLAP. The purpose  of this research  is  to  make  information  systems  graduates  by using  Online Analytical  Procesing  (OLAP).  In the  modelingsystem  used  Context  Diagram  and  Data  Flow  Diagram.  Information  systems  graduates  begins  with  collecting  data  on  graduates, perform  analysis  with  the  concept  of  Roll  Up,  presents  information  generated  OLAP  and  graphs.  Graduate  information  systemsprovide  information  quality  graduates,  useful  for leaders  to make decisions.  Graduate  information  systems  can be  applied to the State Polytechnic  Department of Electronics  Kupang.  Results  showed  developmental  process  OLAP  uptake  needs  graduates  in  public and private.Keywords: OLAP,Graduate  information systems, Roll Up
Sistem Pendukung Keputusan Evaluasi Pemilihan Pemenang Pengadaan Aset dengan Metode Simple Additive Weighting (SAW) Nugraha, Fajar; Surarso, Bayu; Noranita, Beta
JURNAL SISTEM INFORMASI BISNIS Vol 2, No 2 (2012): Volume 2 Nomor 2 Tahun 2012
Publisher : Magister Sistem Informasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (531.063 KB) | DOI: 10.21456/vol2iss2pp067-072

Abstract

Procurement of assets by auction requires a decision support in selecting the winning bidder so that decision makers can pick and choose the winner of the auction. This study aims to develop a Decision Support System (DSS), which serves as an aid in decision mak ing in the process  of  evaluating  the  winning  bidder  acquisitions.  In order to  achieve  the  purpose  of  SPK  well  then helped  by  using  one  of  the methods in decision-making that is the method of Simple Additive weighting method (SAW) to evaluate alternatives in the provision of asset  based  decision-making  criteria.  This  method  has  the  advantage  criteria  (benefits)  and  cost  criteria  (cost).  Criteria  advantage (benefit) is used when considering the aspects of decision making maximum profit. While the cost criteria (cost) is the inver se of the attributes of an advantage, in this draft decision will be looking  for a minimal fee. The results may support the decision on the selection of an alternative evaluation of acquisitions winners based on predetermined criteria.Keywords: Acquisitions; Decision support systems; Simple additive weighting
Penggunaan Jaringan Syaraf Tiruan Backpropagation Untuk Seleksi Penerimaan Mahasiswa Baru Pada Jurusan Teknik Komputer Di Politeknik Negeri Sriwijaya Agustin, Maria; Prahasto, Toni
JURNAL SISTEM INFORMASI BISNIS Vol 2, No 2 (2012): Volume 2 Nomor 2 Tahun 2012
Publisher : Magister Sistem Informasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (845.784 KB) | DOI: 10.21456/vol2iss2pp089-097

Abstract

Data availability of new studentsat the Polytechnic State Srivijaya high enough, so the need fora method to analyze the data. Artificial neuralnetwork  is  an  information  processing  system  that  has  characteristics  similar  to  biological  neural  networks,  neural  network  sare  used  topredict because ofthe ability of a good approach to ketidak linearan. This study  will design the software selection admission of new studentswith a  backpropagation  neural network  methods.    From the analysis of  backpropagation  neural networks  with  one  hidden layer  with  the number of neurons 50, 1000 iteration sand the activation functiont an sigproduce regression of 0.4822. Backpropagation neural network withtwo  hidden  layers  with  the  number  of  neurons  50,  4000  iterations  with  tansig  activation  function,  resulting  in  regression  of  0.7944. Backpropagation  neural networks  with 3  hidden layer  with  the number of neurons  35,  5000  iterations, resulting in  regression  of  0.8563. Based  on  the  results  of  this  analysis,  backpropagation  neural  networks  quite  effectively  used  for  selection  of  candidates  for  student admission.Keywords: Selection, Backpropagation, Regression
Perancangan Sistem Layanan Informasi Pariwisata Berbasis Mobile Internet Dengan Menerapkan Konsep Mobile Interaction Octhario, Raymond; Syafei, Wahyul Amien Syafei Amien; Chritiyono, Yuli
JURNAL SISTEM INFORMASI BISNIS Vol 2, No 2 (2012): Volume 2 Nomor 2 Tahun 2012
Publisher : Magister Sistem Informasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (470.012 KB) | DOI: 10.21456/vol2iss2pp073-077

Abstract

Mobile interaction is about the stuff of people’s lives, focused on understanding and developing blueprints for systems that permeate the broad spectrum of their  experiences.  People can use system,  They  can take  advantage of the system through mobile devices.  Due to limitations in the display and display media such as mobile phones in presenting and giving  information to the public.    the design of interaction  between  the  system  and  users  will  be  very  important,  It  is  a  thing  to  be  considered  to  create  a  mobile  internet-based information  systems.  Therefore,  the  application  of  mobile  interaction  design,  especially  in  terms  of  mobile  internet-based  system  is needed, so the system can be  used optimally.  Indonesias tourism  sector  is one  sector of  the  service economy.  It  has  bright prospects  for mobile  interaction.  However  to  enhance  the  role  of  development  in  Indonesia,  is  still  one  of  many  shortcomings  that  limited  mediainformation services.    This study  concerns in  produce  and  information  service  system  especially  in  tourism  of  Palangka Raya  whichapply the concept  of  mobile  interaction  design.  To  apply the concept of  mobile  interaction,  there are  three  main  activities.  There  areunderstanding users, developing prototype designs and evaluation. Percentage points is higher in the evaluation, indicates that the user is able  to use  the system  and  interact  with  the system    and  based on feedback  from users, no complaints  are  ejected  from  the user  in  the system path. This provides an assessment of the success of the system design, system success and user satisfaction convey information to the system. Expected in the long periode, the system can increase tourism sector in the city of Palangka Raya.Keywords : Internet; Mobile Phones;  Information Services;  Mobile Interaction Design; Tourism
The Prediction of Bandwidth On Need Computer Network Through Artificial Neural Network Method of Backpropagation Mekongga, Ikhthison; Gernowo, Rahmat; Sugiharto, Aris
JURNAL SISTEM INFORMASI BISNIS Vol 2, No 2 (2012): Volume 2 Nomor 2 Tahun 2012
Publisher : Magister Sistem Informasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (971.992 KB) | DOI: 10.21456/vol2iss2pp098-107

Abstract

The need for bandwidth has been increasing recently. This is because the development of internet infrastructure is also increasing so that we need an economic and efficient provider system. This can be achieved through good planning and a proper system. The prediction of the bandwidth consumption is one of the factors that support the planning for an efficient internet service provider system. Bandwidth consumption is predicted using ANN. ANN is an information processing system which has similar characteristics as the biologic al neural network.  ANN  is  chosen  to  predict  the  consumption  of  the  bandwidth  because  ANN  has  good  approachability  to  non-linearity.  The variable used in ANN is the historical load data. A bandwidth consumption information system was built using neural networks  with a backpropagation algorithm to make the use of bandwidth more efficient in the future both in the rental rate of the bandwidth and in the usage of the bandwidth.Keywords: Forecasting, Bandwidth, Backpropagation

Page 1 of 1 | Total Record : 8