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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 410 Documents
Jaringan Syaraf Tiruan Perambatan Balik Untuk Pengenalan Wajah Saubari, Nahdi; Isnanto, Rizal; Adi, Kusworo
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 6, No 1 (2016): Volume 6 Nomor 1 Tahun 2016
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (865.153 KB) | DOI: 10.21456/vol6iss1pp30-37

Abstract

This research discusses about face detection and face recognition in an image. Face detection has only two classifications, i.e face and not face. Face recognition is compatible with some classifications of a number individuals who want to be recognized. Face detection and face recognition in thi study using Haar-Like Feature method and Artificial Neural Network Backpropagation. A method Haar-Like Feature used for detection and extraction in an image, because the clasification on this method showed success at used to detect image of the face. Artificial Neural Network Backpropagation is a training algorithm that is used to do training simulated on facial image data training stored in a database. This study uses Ms. Excel 2007 as database with 10 individual sample image, every image in each individuals having three distance with every range has four defferent light intensities, so that the data training stored in the database reached 120 data training. The results shows that the face detection and face recognition which is developed can recognize a face image with an average accuracy rate reaches 80,8% for each distance.
Sistem Pakar Fuzzy Untuk Optimasi Penggunaan Bandwidth Jaringan Komputer Mustaziri, Mustaziri
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 2, No 1 (2012): Volume 2 Nomor 1 Tahun 2012
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (922.88 KB) | DOI: 10.21456/vol2iss1pp027-035

Abstract

The need for bandwidth availability today is very high along with the increase of infrastructural growth of internet network. Therefore, the presence of efficient, reliable, and economical service availability system is required. It can be achieved byperforming  good  and  appropriate  system  planning.  In  providing  efficient  and  reliable  internet  services,  one  of  the supporting factors is the optimization of bandwidth using. To optimize the use of bandwidth, we use fuzzy expert system by Sugeno method. This fuzzy expert system use 3 input variables, such as lecture room, day, and t ime, with one output variable of the capacity of bandwidth used. Rule base being made based on the consultation with the expert to determine the rule base for fuzzy  system input.  The computation to determine the average error using the computation formula  of MAPE  (Means  Absolute  Percentage  Error)  which  is  the  error  median  of  absolute  percentage.  The  data  of  the  research results on the optimization of bandwidth using in fuzzy expert system with Sugeno method obtain from verification, that is by comparing actual data to prediction data with fuzzy system. The average error result is 6,5142 %.Keywords: Fuzzy Expert System; Optimization; Bandwidth
Penggunaan Media Sosial dengan Pendekatan Model AIDA bagi Usaha Kecil dan Menengah Syastra, Muhammad Taufik; Adam, Steffi
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 7, No 2 (2017): Volume 7 Nomor 2 Tahun 2017
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (3287.657 KB) | DOI: 10.21456/vol7iss2pp114-119

Abstract

Small Medium Enterprise (SMEs) have a strategic role in the development of a country. Every SME needs to improve its competitive advantage. One way to improve the competitive advantage is to utilize social media in running the business. The research aims to This study aims to implement the use of social media with reference to the AIDA Model for SMEs.  The fresearch focuses on social media facebook. SMEs are given training in using social media. Training participants as respondents from this research are 20 SMEs. The data analysis technique used is Miles and Hubermann. Results from this study indicate that the AIDA model can be used as an approach in using social media facebook. A total of 20 SMEs have been trained to use social media facebook based on AIDA model
Pengukuran Kesadaran Keamanan Informasi Dan Privasi Pada Pengguna Smartphone Android Di Indonesia Akraman, Robbi; Candiwan, Candiwan; Priyadi, Yudi
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 8, No 2 (2018): Volume 8 Nomor 2 Tahun 2018
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (342.194 KB) | DOI: 10.21456/vol8iss2pp115-122

Abstract

Based on statistical data, it is known that Android is the most popular smartphone with the largest number of users in the world, which is about 1.8 billion users. The high number of users also invite the many cases of information security and privacy caused by the lack of awareness of the user such as : spam, spoofing/phising, network incident, malware, uploading something personal data such as photos, phone numbers, addresses or having no antivirus. This study aims to find out about the awareness of the security of information and privacy of Android smartphone users by doing measurement of problem. The awareness has  some dimensions such as attitude, knowledge and behavior with the seven focus areas of information security namely trust in app repository, misconception about app testing, security and agreement message, pirated application, adoption Security control, spam sms and report of security incidents and three focus areas of privacy are perceived surveillance, perceived intrusion, secondary use of information. This research uses analytical hierarchy process (AHP) to measure the level of awareness of information security and privacy of smartphone users. Overall, the results of the research show that information security has an average level of awareness (71%) but the focus area of report for security incidents has a poor level of awareness (37%) this occur because users prefer to solve their own information security issues experienced and privacy has an average level of awareness (76%). However, for secondary use of information in attitude dimension has low awareness level (66%). Based on the results of this study, it can be concluded that smartphone users in Indonesia have a poor awareness level in maintaining security and privacy of their information. 
Diagnosis Kerusakan Bantalan Gelinding Pada Sistem Industri Dengan Metode Self Organizing Map (SOM) Wibowo, Dega Surono; Widodo, Achmad
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 4, No 1 (2014): Volume 4 Nomor 1 Tahun 2014
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1388.406 KB) | DOI: 10.21456/vol4iss1pp58-66

Abstract

This research is discussing about the usage of data mining which addressed to damage diagnosis of rolling bearings. Data input was obtained from signal frequency feature extraction which taken from calibration against rolling bearings. The diagnosis was extremely important to industrial machines since this diagnosis can help to discover damages that occurred so that total failure of cessation of the machines can be avoided and industrial machines treatment costs can be optimized. Method used in this research is Self Organizing Map (SOM), SOM method on this research was done by sequence: signal frequency data that have been through the process of acquisition and preprocessing, feature extraction, Principal Component Analysis (PCA), then come into the process of SOM so that accuracy of the diagnosis process can be discovered. The result of this research is a software that can diagnose rolling bearings damage on industrial system. From tests result, software that has been produced was able to diagnose rolling bearings damage. Accuracy result shown 87.5% success, this software can be developed further to help technicians in diagnosing rolling bearings damage. This research method can be developed further to detect other damages in industrial systems.   Keywords: Data mining; PCA; SOM; Diagnosis; Rolling bearings; Statistic feature extraction
Sistem Peramalan Kebutuhan Hidup Layak Minimum (Kapita/Bulan) Kota Bandung Fahrudin, Rifqi; Sumitra, Irfan Dwiguna
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 9, No 2 (2019): Volume 9 Nomor 2 Tahun 2019
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (415.785 KB) | DOI: 10.21456/vol9iss2pp192-203

Abstract

The importance of inflation forecasting is used as a reference for estimating the Need for Living (KHL). If inflation can be predicted with high accuracy, it can certainly be used as the basis for government policy making in anticipating future economic activity. This study aims to produce a model of inflation data forecasting system, the forecasting results can be used as a reference for determining the Decent Living Needs (KHL) of a single worker in one month. The data used in forecasting is inflation data for January 2011 - December 2017 while the KHL data for the food and beverage category is obtained from the food price portal. The method used in this study is the SARIMA-SES hybrid method. In forecasting the inflation rate where the data is in the form of time series, the SARIMA-SES hybrid method can show more accurate forecasting results than using a single method. Based on the comparison of the overall forecasting model and by combining the SARIMA (1,0,1) (1,0,1) 12 and SES models with alpha 0,6 the smallest error value with MAD value 0,114, MSE 0,017 and 0,39% for MAPE. From these results, it was gathered that inflation forecasting in Bandung City using the SARIMA-SES hybrid method has a high accuracy value so that the results of the KHL value calculation with the forecasting inflation value approach the actual value. From these values can be used as a reference for the decision making of a single worker in fulfilling their life needs one month.
Sistem Informasi Untuk Supply Chain Berkelanjutan Berbasis Pengetahuan Mustafid, Mustafid
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 5, No 2 (2015): Volume 5 Nomor 2 Tahun 2015
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (468.582 KB) | DOI: 10.21456/vol5iss2pp109-118

Abstract

Information systems and supply chain has a strategic role to manage, measure and improve business performance with a sustainable competitive advantage. This paper aims to design the basic theoretical concepts of information systems for a enterprise knowledge-based sustainable supply chain. These systems in the form of a sustainable supply chain information system designed based enterprise resource knowledge and directed in accordance with the objectives and indicators of business performance in a sustainable by taking into account environmental, economic and society. Concepts theoretical basic of this system can be used as a basic for research development and application in the field of information systems and supply chain sustainability. The application of this system can be used to help management in managing and optimizing enterprise knowledge resources in accordance with the potential of the enterprise in order to improve  business performance overall  and sustainability. 
Sistem Informasi Ekstensibilitas E-Commerce Berdasarkan Data Trafik Menggunakan Statistik Proses Kontrol Gunawan, Andi; Mustafid, Mustafid; Sugiharto, Aris
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 1, No 3 (2011): Volume 1 Nomor 3 Tahun 2011
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (904.85 KB) | DOI: 10.21456/vol1iss3pp109-116

Abstract

The concept of quality control has been widely used in companies for the fulfillment of customer satisfaction on products produced. Loss of customers due to in appropriate quality standards are important avoided by the company. This study aims to establish quality control information system e-Commerce in the diagram view map control. In this study, it is used Statistic Process Control (SPC) method. In the early stages, e-Commerce is assumed to have  met  with quality variable of EWAM  method. Transaction visitation opportunities at a certain period used as a parameter of quality, and is called extensibility. The visitation data were collected by web traffic and applications and transaction data that occur in e-Commerce. Waterfall model approach was used in the prototype development process. The results of this  study  was  the  extensibility  of  e-Commerce  information  system.  Automation  of  data  collection  occurs  in  real  time  information system, so  that the e-Commerce extensibility statements can be  continuously  monitored. Analysis of results displayed by the  control chart suggested that a sustain effort in the control of extensibility can provide benefits in an effort to retain customers while management can  use  number  of  extensibility  variable  in  increasing  profitability  of  the  company  or  the  consideration  of  using  e -Commerce. Completion  of  e-Commerce  extensibility  can  gradually  be  increased  through  the  reduction  of  extensibility  variation,  while  the improvement of extensibility relies on the reparation of e-Commerce systems associated with EWAM variable.Keywords : E-Commerce; Web traffic; Extensibility;  Quality control; Automation
Perancangan Model Data Flow Diagram Untuk Mengukur Kualitas Website Menggunakan Webqual 4.0 Hapsari, Karina; Priyadi, Yudi
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 (398.62 KB) | DOI: 10.21456/vol7iss1pp66-72

Abstract

The more competition the e-commerce company and the development of technology company in Indonesia, website of Zalora Indonesia traffic rank declining. Measuring the quality of website by using WebQual 4.0 will help manage the web to be able to adjust the quality of the web with user perception.  The research aims to make design of Data Flow Diagram model to measure website quality using WebQual 4.0 based on user satisfaction variable. A case study was conducted on the Zalora Indonesia website. Data Flow model is used to make design of system model recommendation, while WebQual 4.0 method is used to measure website quality to user satisfaction. The research data using primary data in the form of questionnaires involving 384 respondents in the city of Bandung who had transacted on the website Zalora Indonesia. Data analysis technique applies descriptive analysis. Based on the research result on the quality of the website Zalora Indonesia, simultaneous positive and significant impact on user satisfaction Zalora Indonesia website. t test result showed that three variables partially have a posotive impact on user satisfaction Zalora Indonesia website is usability quality, information quality and service interaction quality, with Information quality variable has largest impact. Therefore, the modeling system using the Context Diagram-Data Flow Diagram focused on information quality variable. 
Analisis Faktor Kredibilitas Website E-Commerce Indonesia Studi pada Online Purchasing Cordiaz, Muhammad; Prahasto, Toni; Widiyanto, Ibnu
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 3, No 1 (2013): Volume 3 Nomor 1 Tahun 2013
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (621.7 KB) | DOI: 10.21456/vol3iss1pp41-47

Abstract

In the number of Internet users in Indonesia continues to increase. Internet increasingly being used for purchasing online. There are many e-commerce websites that offer goods and services online. Internet users should be able to distinguish which websites are credible before engaging in electronic commerce activities. Be an interesting question, what factors are rated by visitors of a website as an e-commerce website that is credible or reliable. Using a web-based survey methods, respondents were asked what factors support the credibility of the website in electronic commerce purchasing transactions. The respondents were Internet users. Proposed survey questions are grouped into four factors, namely, kerpercayaan factors, factors expertise, sponsorship factors and specific factors. The survey results were tested with descriptive statistic. Based on the data obtained, the Trust Factor respondents prefer e-commerce website that is trusted by his close associates, while the respondents assess the Skill Factor of websites that apply when payments online transactions through banks Indonesia is considered more reliable. In the Sponsorship Factor and Specific Factor, respondents believe the e-commerce website that does television ads in the media and managed by official institutions. Keywords : credibility, trustworthiness, expertise, electronic commerce, online purchasing

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