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JURNAL SISTEM INFORMASI BISNIS

jsinbis
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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 410 Documents

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Implementasi Metode Fuzzy Time Series Cheng untuk prediksi Kosentrasi Gas NO2 Di Udara Fathoni, M Yoka
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 7, No 1 (2017): Volume 7 Nomor 1 Tahun 2017
Publisher : Universitas Diponegoro

The forecasting process is essential for determining air quality to monitor NO2 gas in the air. The research aims to develop prediction information system of NO2 gas in air. The method used is Fuzzy Time Series Cheng method. The process of acquiring NO2 gas data is integrated with Multichannel-Multistasion. The data acquisition process uses Wireless Sensor Network technology via broadband internet that is sent and stored in an online database form on the web server. Recorded data is used as material for prediction. Acquisition result ofÂ NO2 gas data is obtained from the sensor which is sent to the web server in the data base in the network by on line, then for futher it is predicted using fuzzy time series Cheng applying re-divide to the results of intervals the first partition of the value of the universe of discourse by historical data fuzzification to determine Fuzzy Logical Relationship dan Fuzzy Logical Relationship Group, so that is obtained result value prediction of NO2 gas concentration. By using 36 sample data of NO2 gas, it is obtained that the value of root of mean squared error of 2.08%. This result indicates that the method of Fuzzy Time Series Cheng is good enough to be used in predicting the NO2 gas.

Sistem Pakar Mendeteksi Kerusakan Rambut Menggunakan Basis Aturan (Rule Base Reasoning) dengan Metode Forward Chaining Al Amin, Imam Husni; Suhartono, Suhartono
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 2, No 3 (2012): Volume 2 Nomor 3 Tahun 2012
Publisher : Universitas Diponegoro

One part of the human body that has a psychological role, especially in terms of self-confidence is hair. Application of expert system is designed as a tool for diagnosing hair damage. Base rules compiled into a database in such a way so as to facilitate the performance of the system. The method used in the forward chaining inference expert system to detect damage to the hair so that the user can know what kind of hair damage, solutions and how to treat them. Conformity or similarity between the results of expert diagnosis and testing of the system shows that this expert system design can be used easily, quickly and accurately. Â Keywords : forward chaining, hair damage, the rule base reasoning, expert systems.

Sistem Pendukung Keputusan Penentuan Lokasi dan Pemetaan Secara Simultan dengan OLAP Pradhana, Harindra W; Suryono, Suryono; Widodo, Achmad
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 3, No 2 (2013): Volume 3 Nomor 2 Tahun 2013
Publisher : Universitas Diponegoro

This research proposes simultaneous localization and mapping (SLAM) system processed separately from the robot using data ware house. Information in the data warehouse processed separately to allow complex computation held without lowering robotic system performance. The system helps making decision by analyzing information in the data warehouse. Decision support information visualized in vector graphics to helps robotic information interpretation. This system use online analytical processing (OLAP) on processing and analyzing information in the data warehouse. Visualization process use SVG to display map from robotic data processing. Web server manages all of the processing and analysis of OLAP information and displays it through browser to the user. This research produces interactive and informative decision support system. The web server quickly process information and displays it to the browser. System processing and analysis generates relevant information with low error. For further research, conventional SLAM methods can be added to the server to operate the information in the data warehouse.

Evaluasi Implementasi Radiology Information System Picture Archiving and Communication System (RISPACS) dengan Pendekatan Model HOT-FIT Suandari, Putu Vierda Lya; Adi, Kusworo; Suryawati, Chriswardani
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 9, No 1 (2019): Volume 9 Nomor 1 Tahun 2019
Publisher : Universitas Diponegoro

The application of current technology such as the Radiology Information System Picture Archiving and Communication System (RISPACS) in radiology that doesnâ€™t meet the userâ€™s expectation can raise the inconvenience and affect their productivity. To anticipate this, it is important to understand the basic factors that contribute to the reception and successfulness of applicating RISPACS. This study aims to describe the evaluation of the successful implementation of RISPACS using the Human Organization Technology (HOT FIT) model approach in Radiology Installation at Sanglah Hospital Denpasar. The data in this research were analyzed by Partial Least Square (PLS) test and measuring 71 radiologists as respondents who use RISPACS. The evaluation results of the Human Organization Technology (HOT FIT) model show that the successful implementation of RISPACS technology has a positive assessment that is seen from the user's attitude in responding to a RISPACS technology that is felt to be in accordance with the expectations and operational needs of the user. Variable of system quality, information quality, service quality have a positive influence on system user variable and user satisfaction. While the variable of system users, user satisfaction, organizational structure, and organizational environment had a positive and significant effect by the t-statistic value of >1,96.

Sistem Informasi Pengukuran Kinerja Pada Perkebunan Kelapa Sawit Dengan Menggunakan Metode Balanced Scorecard Rosmiati, Rosmiati; Mustafid, Mustafid; Widiyanto, Ibnu
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 5, No 1 (2015): Volume 5 Nomor 1 Tahun 2015
Publisher : Universitas Diponegoro

Palm oil plantations is one of the sub-sectors of agriculture crops in Indonesia, which is the main source of food and economic growth. The Balanced Scorecard (BSC) into a model of performance measurement system that can provide a solution within the framework of an integrated performance measurement using financial and non financial aspects. This study aims to develop information systems to measure the performance of oil palm plantations using the Balanced Scorecard method. Measurement of performance using four perspectives, that is: financial, customer, internal business processes and learning and growth. Nine indicators were used, that is: value of employee satisfaction, employee loyalty value, Return on Assets (ROA), solvency, crop maintenance, harvesting TBS, increasing the foreman and administrative competence in the garden, orchard manager guidance to employees and provide a special budget for training. This study resulted in an information system that can determine the weights of indicators and performance assessment scores will then be known to the achievement of performance measurement in oil palm plantations. This study was carried out on the Bina Karya plantation, obtained performance tends to be stable from 2009 to 2013. In 2011 the highest performance values â€‹â€‹obtained at 68.34% and the lowest was in 2009 at 60.84%. Â Keywords: Performance Measurement; Balanced scorecard; Key Performance Indicator; Information System; Palm oil

Perbandingan Kinerja Jaringan Saraf Tiruan Model Backpropagation dan General Regression Neural Network Untuk Mengidentifikasi Jenis Daging Sapi Nugroho, Nugroho; Sediyono, Eko; Suhartono, Suhartono
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 1, No 1 (2011): Volume 1 Nomor 1 Tahun 2011
Publisher : Universitas Diponegoro

The research on image identification has been conducted to identify the type of beef. The research is aimed to compare the performanceÂ of Â artificial Â neural Â network Â of Â backpropagation Â and Â general Â regression Â neural Â network Â model Â in Â identifying Â the Â type Â of Â meat. Â ImageÂ management is processed by counting R, G and B value in every meat image, and normalization process is then carried out by obtainingÂ R, G, and B index value which is then converted from RGB model to HSI model to obtain the value of hue, saturation and intensity. TheÂ resulting value of image processing will be used as input parameter of training and validation programs. The performance of Â G RNNÂ model is more accurate than the backpropagation with accuracy ratio by 51%.Keyword: Identification; Backpropagation; GRNN

Diagnosa Kerusakan Bearing Menggunakan Principal Component Analysis (PCA) dan NaÃ¯ve Bayes Classifier Pudyastuti, Dwi; Prahasto, Toni; Widodo, Achmad
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 6, No 2 (2016): Volume 6 Nomor 2 Tahun 2016
Publisher : Universitas Diponegoro

This research is discussing about the usage of data mining which addressed for bearing fault diagnosis. Bearing was one of the essential parts in industry machinery. Bearing was used to reduce machines frictions or could be a moving component which oppressed each other.Â This fault diagnosis can avoid loss and damage of other machines components. This research was started with data preprocessing using wavelet discrete transformation, feature extraction, feature reduction using Principal Component Analysis (PCA), and classification process using NaÃ¯ve Bayes classifier methods. NaÃ¯ve Bayes Classifier is a classification method which based on probability and Bayesian theorem. Output of these method shows that NaÃ¯ve Bayes classification have a good performance which shown by a good accuracy in each data test.

Sistem Manajemen Pengetahuan Berbasis Standar Operasional Prosedur Untuk Meningkatkan Kinerja Pegawai Hartini Hartini
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 | DOI: 10.21456/vol2iss1pp023-026

Application of knowledge management in the company becomes a fundamental requirement in the era of globalization. Company's ability to manage the knowledge that there is a force that is needed to increase competitiveness. Managing knowledge in companies is not easy, because not everyone can share knowledge with other people or companies. The research aims to implement Knowledge Management System based SOP for an organization that is expected to manage organizational knowledge well and easy to perform knowledge sharing. Knowledge Management System is used to support the sharing of knowledge, ie tacit knowledge and explicit knowledge is based on the Standard Operating Procedure. The system is built with moodle as one of the tools Content Management System. Analysis of the conditions of knowledge in organizations is done by using meode Focus Group Discussion. KMS is built can be used to facilitate the process of capturing the knowledge, store, call and reuse knowledge. By applying this system management processes / documentation can be accommodated with a good knowledge and can be used to improve the performance of the employee. Keyword : Knowledge Management,Moodle, SOP, Tacit knowledge, Explicit Knowledge

Identifikasi Huruf Kapital Tulisan Tangan Menggunakan Linear Discriminant Analysis dan Euclidean Distance Cahyani, Septa; Wiryasaputra, Rita; Gustriansyah, Rendra
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 8, No 1 (2018): Volume 8 Nomor 1 Tahun 2018
Publisher : Universitas Diponegoro

The human ability to recognize a variety of objects, however complex the object, is the special ability that humans possess. Any normal human will have no difficulty in recognizing handwriting objects between an author and another author. With the rapid development of digital technology, the human ability to recognize handwriting objects has been applied in a program known as Computer Vision. This study aims to create identification system different types of handwriting capital letters that have different sizes, thickness, shape, and tilt (distinctive features in handwriting) using Linear Discriminant Analysis (LDA) and Euclidean Distance methods. LDA is used to obtain characteristic characteristics of the image and provide the distance between the classes becomes larger, while the distance between training data in one class becomes smaller, so that the introduction time of digital image of handwritten capital letter using Euclidean Distance becomes faster computation time (by searching closest distance between training data and data testing). The results of testing the sample data showed that the image resolution of 50x50 pixels is the exact image resolution used for data as much as 1560 handwritten capital letter data compared to image resolution 25x25 pixels and 40x40 pixels. While the test data and training data testing using the method of 10-fold cross validation where 1404 for training data and 156 for data testing showed identification of digital image handwriting capital letter has an average effectiveness of the accuracy rate of 75.39% with the average time computing of 0.4199 seconds.

Penerapan Metode AHP-TOPSIS Untuk Penyeleksian Permohonan Kredit Pada Koperasi Pegawai Republik Indonesia Gani, Hilmansyah; Suseno, Jatmiko Indro
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 5, No 1 (2015): Volume 5 Nomor 1 Tahun 2015
Publisher : Universitas Diponegoro

In this study discusses the selection of a decision support system of credit proposals, which make loans to members of the Cooperative Republic of Indonesia ( KPRI ) savings and loan. Decision support system used to aid managers in determining which members are entitled to be given a loan. Errors in granting loans to members of the cooperative will menyebebakan loss or bad credit cooperatives. The method used in this study are TOPSIS ( Technique Order Preference by Similarity to Ideal Solution ) and AHP ( Analytical Hierarchy Process ). TOPSIS is used for ranking members of the cooperative are given a loan, while the AHP is used for the weighting of the criteria used in TOPSIS. The results of this study is an application or software that can menentukkan members who make loans based on lending criteria, large installment, destination, length installment, the basic salary, the last member status, previous loans, and deposits. So that these applications can provide a solution for managers in selecting members to be given credit loans.

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