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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 8 Documents

Search results for , issue "Vol 4, No 2 (2014): Volume 4 Nomor 2 Tahun 2014" : 8 Documents clear

Pendekatan Metode Pohon Keputusan Menggunakan Algoritma ID3 Untuk Sistem Informasi Pengukuran Kinerja PNS Sidette, Julce Adiana; Eko, Eko; Nurhayati, Oky Dwi
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 4, No 2 (2014): Volume 4 Nomor 2 Tahun 2014
Publisher : Universitas Diponegoro

Decision tree method is a classification method that has been widely used for the solution of problems of classification. Decision tree classification provides a rapid and effective method. The approach has been proven decision tree method can be applied in various fields of life. Capability classification is indicated by the decision tree method is what encourages authors to use decision tree methods approach to measure the performance of civil servants. To build a decision tree induction algorithms used. In this study, the ID3 algorithm method is used to construct a decision tree. Starting with the data collecting training samples and then measuring the entropy and information gain. Information Gain value will be used as the root of a decision tree. And translates it into a decision tree classification rules. The results show that the decision tree method is used to produce classification rules into groups employee performance Good and Bad. The resulting rules are used to measure the performance of employees and classifying employees into two groups above are constructed in an information system. Information system built to assist management in making more objective assessment process. Â Â *) Penulis korespondensi: utje_caem@yahoo.com Â Keywords: ID3 Algorithm; Decision tree; Employee performance

Item Response Theory Model Empat Parameter Logistik Pada Computerized Adaptive Test Fatkhudin, Aslam; Surarso, Bayu; Subagio, Agus
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 4, No 2 (2014): Volume 4 Nomor 2 Tahun 2014
Publisher : Universitas Diponegoro

One of the computer-based testing is the Computerized Adaptive Test (CAT), which is a computer-based testing system where the items were given to the participants adapted to test the ability of the participants. Assessment methods are usually applied in CAT is Item Response Theory (IRT). IRT models are most commonly used today is the model 3 Parameter Logistic (3PL), which is about the discrimination, difficulty and guessing. However 3PL IRT models have not provided information more objectively test the ability of participants. The opinion of the test participants were tested items were also to be considered. In this study using CAT in combination with IRT model of 4PL. In this research, the development of CAT which uses about 4 parameters, namely the discrimination, difficulty, guessing and questionnaires. The questions used were about UAS 1 English subjects. Samples were taken from 30 students answer with the best value of the total 172 students spread across 6 classes to measure the parameter estimation problem. Further testing using CAT application 4PL IRT models compared to CAT 3PL IRT models. From research done shows that the CAT application combined with IRT models 4PL can measure the ability of the test taker shorter or faster and also opportunities participants correctly answered the test items was done tend to be better than the 3PL IRT models. Â Keywords: Ability; CAT; IRT; 3PL; 4PL; Probability; Test

Sistem Informasi Pendukung Keputusan Terhadap Mutu Lulusan dengan Metode Fuzzy Model Tsukamoto Ghozali, Ahmad Lubis; Mustafid, Mustafid; Farikhin, Farikhin
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 4, No 2 (2014): Volume 4 Nomor 2 Tahun 2014
Publisher : Universitas Diponegoro

The importance of graduate information systems to support leadership in taking a decision related to the development of alumni, so that should make for a graduate information systems implemented in the form of web portals. Analysis of the data processed by the method of OLAP (Online Analytical Processing), KPI (Key Performance Indicators) graduates, and data mining to extract and transform data holds the data will be stored in the warehouse. The process of data analysis using OLAP and Fuzzy method to determine the parameters of the model Tsukamoto graduate performance and quality of college graduates. The process of data analysis is represented in the form of tables, graphs, and dashboards, then used as a prop for academic results. OLAP analysis result data processed using the fuzzification, inference, and defuzzification to produce quality graduates index. These findings form a web-based information systems graduate portal with content features alumni and stakeholders as a graduate performance indicators that can be accessed through an Internet connection. The information system produces graduates index KPI performance and quality of graduates graduated as a decision support by the leadership and the head of the research program carried out at the University, KPI graduates to indicate that the parameters of the specific level of quality graduates and overall views of the dimensions of the year and course of study, such as in 2011 the level of quality of graduates of IT course overall "Good", TM course as a whole "Good", TP courses overall "Good". Keywords: Information systems graduates; OLAP, KPI graduates; Tsukamoto Fuzzy Logic model

Fuzzy Quantitive Strategic Planning Matrix dalam Perencanaan Strategi Perguruan Tinggi Wulandari, Fera Tri; Widiyanto, Ibnu
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 4, No 2 (2014): Volume 4 Nomor 2 Tahun 2014
Publisher : Universitas Diponegoro

The strategic plan helps the college in determining the direction of the college to achieve a desired future and provides a framework for achieving competitive advantage. In the strategic planning process, the selection of strategies is essential if universities do not have the resources to implement all the strategies. FQSPM designed to determine the relative attractiveness of each alternative strategy using triangular fuzzy numbers. Merger FQSPM and FTOPSIS used in the decision-making process on strategic planning by a college to conduct the election strategy based on the results of internal and external analysis. The results of the strategic planning helps colleges determine the direction to achieve the desired future so that colleges can anticipate environmental changes and predict the risk while continuing to adjust the action with the aim to be achieved college. Keywords: Strategic Planning; SWOT; Fuzzy QSPM; Fuzzy TOPSIS

Evaluasi Human Machine Interface Menggunakan Kriteria Usability Pada Sistem E-learning Perguruan Tinggi Qashlim, Akhmad; Prahasto, Toni; Gernowo, Rachmat
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 4, No 2 (2014): Volume 4 Nomor 2 Tahun 2014
Publisher : Universitas Diponegoro

Integration HMI with usability in user interface design process is a standart of the success of a website. The design process is done through the approach to the end user to find a problem solution of human machine interface phenomena. It can also generate the maximum level of satisfaction and success of implementation of the website. The purpose of this research is to evaluate HMI using usabilitycriteria to know the application of HMI concept in e-learning and provide proposals for improvements to the HMI. Questionnaire Data were processed using a descriptive analysis and methods of CFA to know the variables that are weakest and which indicators have an important role in shaping the research variables. Evaluation results indicate the application concept of HMI in the e-learning had been done but not the maximum. Data analysis of the results obtained that the main problem lies in the accessibility criteria in the meantime indicator latent variables from forming error prevention, learnability, memorability, visibility and accessibility of influential factor loading values indicated significantly (unidimensionalitas) in shaping the criteria of latent variables in first-order CFA. The end result of this research is the proposal of improvement as a HMI solution in the form of principles and technicsuser interface design. This solution is focused on the development of standards for the quality of the interface in e-learning systems and not on the digital learning content presented on the e-learning system. Keywords: Descriptive analisis; Human machine interface; Usability; Confirmatory factor analisys; Elearning

Sistem kontrol inventori pemasokan barang Secara Real Time Menggunakan Vendor-Managed Inventory (VMI) dan Short Message Service (SMS) Turang, Rinaldo; Suseno, Djatmiko Endro
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 4, No 2 (2014): Volume 4 Nomor 2 Tahun 2014
Publisher : Universitas Diponegoro

This research underlines the urgency of real-time stock replenishment control system for distributors using vendor-managed inventory. It is valuable in improving corporate performance in lowering inventory cost as well as making better customer service due to the cut made in ordering cycle. The system produces real-time information on stock available at the retailing stores. Stock replenishment can then be done by the distributor at the right time. Using Short Message Service (SMS) as a one-way information channel from retailers to their distributor, the data of every transaction of the supervised item are processed by a rule-based forward-chaining inference system to determine the itemâ€™s availability in stores. Folowing steps in Rapid Application Development (RAD), the construction of this system takes place through business modeling, data modeling, process modeling of VMI system, then the application is generated and tested as a prototype. The results are: the stock replenishment control system are able to make transactional data at the stores transparent to the distributor, facilitating the continuation in stock delivery. System architecture reduces the time needed to access information about sales on supervised item by using SMS shortcut. This control system developed in stores can be operationally independent from the retailing systems. Rule-based forward-chaining inference technique processes facts on stock variations, resulting in stock replenishment notification such as normal, reserve, and depleted warning. Keywords: VMI, inventory; Stock replenishment; Rule-based reasoning; Forward-chaining system, RAD

Penerapan Metode AHP dan Fuzzy Topsis Untuk Sistem Pendukung Keputusan Promosi Jabatan Muhardono, Ari; Isnanto, Rizal
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 4, No 2 (2014): Volume 4 Nomor 2 Tahun 2014
Publisher : Universitas Diponegoro

Resources of humans is one of the assets of the organization that became the backbone of an organization in carrying out its activities and influence on the performance and progress of the organization. Systematic performance assessment and selection of employees with the best performance for the determination of a promotion is very important in strategic human resource management. But in fact the decision objectively, efficiently and effectively perform the selection of human resources is not easy, we need a model of decision-making to help solve that problem. Application of AHP and Fuzzy TOPSIS in the selection of this promotion can be provide alternative recommendations for decision-makers, so that the employee selection process can take place effectively and efficiently and to produce objective decisions. Implementation results of the study for the selection of a promotion with six criteria assessment criteria weighting the results obtained using the AHP Performance Value of 0,3509, Education Level of 0,1605, Class of 0,1005, Work period of 0,0367, The Presence of 0,0637 and the value of the competence of 0.2877. The weighting of the results was continued process of ranking the alternatives by using fuzzy TOPSIS method obtained the best results and the selected preference is for 0.8373 Â Keywords: Performance evaluation; Promotion; AHP; Topsis; Fuzzy

Pengenalan Retina Menggunakan Alihragam Gelombang Singkat dengan Pengukuran Jarak Euclidean Ternormalisasi Wijayanti, Aris; Suryono, Suryono
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 4, No 2 (2014): Volume 4 Nomor 2 Tahun 2014
Publisher : Universitas Diponegoro

Identification of a retinal biometric identification methods with low error rate due to the unique patterns in the retina of blood vessels behind the retina. These patterns can be used as training data for the recognition system is then used for comparison when the identification is done. This study aims to identify the image of the human eye retina, either the left or right side, using image processing techniques and measuring the normalized Euclidean distance. So far, research on biometric systems, particularly with the object of the eye's retina, the eye is done at the owner from the owner's eyes with diverse backgrounds, such as the Messidor database. In this study created a system that can recognize the retinal image using the transformation Haar short waves by measuring the normalized Euclidean distance. Retinal image will be the initial pretreatment process of changing the original image into a gray image, which is then performed using the Haar wavelet feature extraction to obtain the energy that will be used for the normalization of the Euclidean distance, so that the process of recognition by Euclidean values â€‹â€‹are compared. Testing is done using eye retinal image database taken from Messidor many as 100 of the 300 images taken at random were then stored in a database, the database is one of 100 images stored, the database of 100 images stored 2, and 3 as many as 100 images database stored. Of the best database testing should be done as much as 6 levels of decomposition levels. From the test results have identified the recognition accuracy rate of up to 98%. The greatest degree of familiarity is level 1 that is equal to 98%. Followed usage by 80% level 2, level 3 is 59%, level 4 is 47%, level 5 is 45% and the lowest is the last level 6 that is equal to 37%. Â Keywords: Retinal image; Database; Euclidean normalized; Haar Wavelet

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