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INDONESIA
JURNAL SISTEM INFORMASI BISNIS
Published by Universitas Diponegoro
ISSN : 20883587     EISSN : 25022377     DOI : -
Core Subject : Economy, Science,
Computer Science & IT Economics, Econometrics & Finance
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 305 Documents
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Determinasi Faktor-Faktor Keamanan E-Banking Terhadap Kepercayaan dengan Pendekatan Technology Acceptance Model Qamaruzzaman, M. Haris; Surarso, Bayu; Suhartono, Suhartono
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 1, No 2 (2011): Volume 1 Nomor 2 Tahun 2011
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (369.956 KB) | DOI: 10.21456/vol1iss2pp64-68

Abstract

Safety  and  convenience  factor  is  important  for  confidence  in  the  use  of  e-banking.  This  study  aimed  to  investigate  the  factors determination  using  e-banking  approach  to  technology  acceptance  model,  and  analyze  the  determination  of  the  factors  the  use  of  ebanking  with  the  Technology  Acceptance  Model  approach.  Technology  Acceptance  Model  (TAM)  is  a  model  used  to  explain  the acceptance of the technology to be used by users of the technology. In the context of this study, TAM raises the safety factor and the factor of ease of use of e-banking to e-banking trust uses. This research is a field research (field research) with a quantitative approach that examines the issues being studied. Sampling method using random sampling technique as much as 100 respondents. Data collection techniques are the primary data by distributing questionnaires to the users e-banking. While the secondary data that other reports related to research. The data analysis techniques used include descriptive statistics and analysis phases of statistical regression analysis. These results prove that the safety factor has a significant and positive effect on user confidence in e-banking proven Ho is rejected and Ha accepted  with  a  significance  level  of  0.001  (<0.05),  while  the  convenience  factor  also  has  a  positive  and  significant  impact  on  user confidence in e-banking proven Ho is rejected and Ha accepted with a significance level of 0.000 (<0.05).Keywords: Factor Security; Ease; Confidence Use of e-banking; Technology Acceptance Model (TAM)
Rancang Bangun Sistem Informasi Remunerasi Jasa Pelayanan RSUD Kepahiang Bengkulu Menggunakan Metode FAST Hendryani, Atika
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 7, No 1 (2017): Volume 7 Nomor 1 Tahun 2017
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (390.401 KB) | DOI: 10.21456/vol7iss1pp9-16

Abstract

The good remuneration information system services can provide useful information for hospital administrators to evaluate employee performance. The aim of this research is to develop a remuneration system services to support employee performance evaluation Kepahiang Hospital. System development methods using FAST (Framework for the Application of Systems Thinking) / Framework for Application of Systems Thinking. Evaluation results of employee performance become the basis of government decision-makers to make improvements and reward. Data used in the research is the data of performance of employees and the amount of revenues from services. Remuneration information system services to produce output tables and graphs to support employee performance evaluation in hospitals Kepahiang for various levels of management. The quality of the information system of the proposed system is better than the old information system.
Sistem Deteksi Retinopati Diabetik Menggunakan Support Vector Machine Setiawan, Wahyudi; Adi, Kusworo; Sugiharto, Aris
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 2, No 3 (2012): Volume 2 Nomor 3 Tahun 2012
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (928.963 KB) | DOI: 10.21456/vol2iss3pp109-116

Abstract

Diabetic Retinopathy is a complication of Diabetes Melitus. It can be a blindness if untreated settled as early as possible. System created in this thesis is the detection of diabetic retinopathy level of the image obtained from fundus photographs. There are three main steps to resolve the problems, preprocessing, feature extraction and classification. Preprocessing methods that used in this system are Grayscale Green Channel, Gaussian Filter, Contrast Limited Adaptive Histogram Equalization and Masking. Two Dimensional Linear Discriminant Analysis (2DLDA) is used for feature extraction. Support Vector Machine (SVM) is used for classification. The test result performed by taking a dataset of MESSIDOR with number of images that vary for the training phase, otherwise is used for the testing phase. Test result show the optimal accuracy are 84% .   Keywords : Diabetic Retinopathy, Support Vector Machine, Two Dimensional Linear Discriminant Analysis, MESSIDOR
Analisis dan Pengukuran Kualitas Informasi Pada Website Menggunakan Pendekatan Six Sigma Faisal, Bagus; Candiwan, Candiwan; Priyadi, Yudi
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 8, No 1 (2018): Volume 8 Nomor 1 Tahun 2018
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (214.837 KB) | DOI: 10.21456/vol8iss1pp84-91

Abstract

Information held by a company is one of the important factors for its success. Nowadays with rapid development of usage of internet and social media, bad information can also have a significantly negative impact on every element / level that exists in the company or in the community. Sometimes it can lead to public unrest. Bad or good information has correlation with the quality of information. The aim of this research  is to assest and analyze  the quality of information using Six Sigma approach and we choose Kaskus website as a case study. Kaskus is the largest community online in Indonesia. It provided various kinds of information to its user. By using its approach, this research consists of 5 stages, they are “define”, “measure”, “analysis”, “improve”, and “control”. Each phase/stage using different tools to assess the current Information Quality, such as questionnaires for define phase, “Expert Choice”(Analytic Hierarchy Process) for measure phase, and quality function deployment (QFD) for analysis stage. Questionnaires used for defining customer specifications and identify information quality problem, meanwhile software “Expert Choice” used to measure the importance each quality information dimensions and then to validate/analyzise the problem of the data. And lastly, QFD used to determine the mutual relationships of information quality dimensions and critical to Information Quality factors. Output of “Analyze” stage shows that Accuracy, Relevancy, and Objectivity dimension on Kaskus website need to be improved immediately because it reaches unacceptable point.
Data-Based Fuzzy TOPSIS for Alternative Ranking Utomo, Victor; Gernowo, Rahmat; Sugiharto, Aris
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 3, No 2 (2013): Volume 3 Nomor 2 Tahun 2013
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (279.098 KB) | DOI: 10.21456/vol3iss2pp104-108

Abstract

Technique for Order Preference by Similarity (TOPSIS) solves multi-criteria decision making (MCDM) by ranking the alternatives. When the attributes are not deterministic, a Fuzzy TOPSIS method is applied. The traditional fuzzy TOPSIS depends on decision makers to determine alternative’s value which considered subjective. A new method named data-based fuzzy TOPSIS proposed to diminish the dependency to decision maker. The proposed algorithm use data to determine alternative’s values objectively. Subtractive Clustering (SC) and Fuzzy C-Mean (FCM) selected to transform crisp value data to fuzzy value data. Some modification applied to SC and FCM to obtain fuzzy triangular value needed by fuzzy TOPSIS.  Keyword : Index Terms—Decision support systems,  fuzzy TOPSIS, fuzzy C-mean, subtractive clustering
Implementasi Metode Dempster Shafer Pada Sistem Pakar Diagnosa Gangguan Kepribadian Yuwono, Doddy Teguh; Fadlil, Abdul; Sunardi, Sunardi
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 9, No 1 (2019): Volume 9 Nomor 1 Tahun 2019
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (491.835 KB) | DOI: 10.21456/vol9iss1pp25-31

Abstract

Metode Dempster Shafer adalah metode ketidakpastian untuk menghasilkan diagnosis yang akurat. Karena penambahan atau pengurangan fakta baru dalam bentuk informasi tentang gejala dan gangguan. Metode ini memberi para ahli kepercayaan diri dalam pengetahuan mereka. Penelitian ini bertujuan untuk menerapkan metode Dempster-Shafer untuk mendiagnosis gangguan kepribadian. Sampel yang digunakan dalam penelitian ini adalah 20 data. Hasil penelitian ini adalah sistem pakar, yang mampu mendeteksi gangguan kepribadian pada seseorang berdasarkan gejala yang mereka rasakan, tanpa harus bertanya langsung kepada para ahli. Pengujian sistem ini meliputi validitas nilai akurasi sistem yang dilakukan dengan membandingkan hasil diagnosa ahli dengan hasil yang dihasilkan oleh sistem, akurasi yang dihasilkan adalah 85%.
Stimulasi Denyut Jantung dengan Pemutar Musik pada Android Afandi, Ifan Kurnia; Ferdiana, Ridi; Nugroho, Hanung Adi
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 4, No 3 (2014): Volume 4 Nomor 3 Tahun 2014
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (349.395 KB) | DOI: 10.21456/vol4iss3pp205-210

Abstract

Music is a natural instrument that can be enter in every human life. Music used by the ancestors in traditional ceremonies and partly uses music to inspire the spirit of fighting on a war or on a sports competition. Music is also used by some people for relaxation. Music tempo affects heart rate in a unique way. Fast music tempo will increase the heart rate. Instead slow music tempo that tends to be used for relaxation. Today the daily activities can not be separated from smartphones and music. This paper presents a unique approach to increase the heart rate. Simple application become the base of application so that application can be use easily. Increased heart rate can be a support to maximize daily activities. Keywords: Heart rate; Music; Smartphone
Penerapan Model Human Computer Interaction (HCI) Dalam Analisis Sistem Informasi Prihati, Prihati; Mustafid, Mustafid; Suhartono, Suhartono
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 1, No 1 (2011): Volume 1 Nomor 1 Tahun 2011
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (631.808 KB) | DOI: 10.21456/vol1iss1pp01-08

Abstract

Information system Analysis is very important to do to produce easy, effective, efficient, and proper use system for the user. This research is meant to design and apply information system analysis model with the concept of Human Computer Interaction (HCI), Jacob Nielsen’s usability criteria which are learnability, efficiency, memorability, errors and satisfaction. The model of information system analysis Human Computer Interaction (HCI) with five usability criteria can be used as a standard to analyze how far Human Computer Interaction can be applied into the system so that every weakness will be known and system maintenance can be performed. The application Human Computer Interaction model in analysis of Sistem Administrasi Sekolah (SAS) produce a conclusion that only half of Human Computer Interaction concept applied into SAS Dikmenti DKI Jakarta. SAS is easy to be learned and to remember but SAS is not efficient and not yet have the ability to cope the mistake well. Users are satisfied enough with the result achieved through SAS but the facility provided by SAS is considered not enough to accommodate the need of the users.
Model Heuristic Time Invariant Fuzzy Time Series dan Regresi Untuk Prediksi Laba dan Analisis Variabel yang Mempengaruhi Admirani, Ica; Gernowo, Rachmat; Suryono, Suryono
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 6, No 2 (2016): Volume 6 Nomor 2 Tahun 2016
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (980.47 KB) | DOI: 10.21456/vol6iss2pp144-153

Abstract

Model of prediction with fuzzy time series method has ability to capture the pattern of past data to predict the fu ture of data does not need a complicated system, making it easier to use. The research aims to built prediction system using model of  heuristic time invariant fuzzy time series and multiple linear regression to predict profit and analysis of variables that affect profit. Profit forecasting aims to determine the company's prospects in the future in order to remain exist in doing its business. The variables that use in the modelling are profit as the dependent variable, and sales, cost of goods sold, general and administrative expenses, selling and marketing expenses and interest income as the indepent variables. Profit forecasting modelling begins by defining universe of discourse and interval actual data of profit, then determine fuzzy set and actual data fuzzified. Furthermore, fuzzy logical relationship and fuzzy logical relationships group to fuzzified data. The prediction process consist of two prediction phase there are training phase aimed to determine trend predictor and testing phase to determine prediction results. By using 24 profit data samples resulted prediction error by using Mean Absolute Percentage Error is 11,64% and added 13 data for testing obtained prediction error is 22,27%.  In analysis of variables that affect profit is known that sales variable most effect on profit than other variables with a regression coefficient 0.976.
Sistem Temu Kembali Informasi dengan Metode Vector Space Model Amin, Fatkhul
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 2, No 2 (2012): Volume 2 Nomor 2 Tahun 2012
Publisher : Universitas Diponegoro

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

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