Garuda - Garba Rujukan Digital

Article Per Year (5 Year)

All

JURNAL SISTEM INFORMASI BISNIS

jsinbis
Website

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 10 Documents

Search results for , issue "Vol 6, No 1 (2016): Volume 6 Nomor 1 Tahun 2016" : 10 Documents clear

Implementasi Metode Dempster Shafer Analytic Hierarchy Process Untuk Pemilihan Program Studi Calon Mahasiswa Pangestika, Menur Wahyu; Nurhayati, Oky Dwi; Suryono, Suryono
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 6, No 1 (2016): Volume 6 Nomor 1 Tahun 2016
Publisher : Universitas Diponegoro

Methods Dempster Shafer Analytic Hierarchy Process is used to rank or sort information based on a number of criteria. DS/AHP advantage of Pairwise Comparison, Consistency Ratio, and Dempster Rule's of Combination, which is used to generate information systems in the form of a sequence of courses as consideration for the selection of majors for prospective students. The sample used in this study were 29 students of five faculty at the University of Diponegoro. The data used is the standard minimum value of each faculty and the average value of the semester report card 1-5 Mathematics, Indonesian, English, Biology, Chemistry, and Physics. Results of this study was the software selection study program that gives students the value of trust in each department. Testing the validity of the value of the accuracy of the system is done by comparing the majors were chosen with the recommendation majors produced by the system, resulting accuracy of 79.33%.

Penerapan Algoritma Minimax Pada Game Macan-macanan Santoso, Kartika Imam; Yunita, Farida; Kusumo, Nafi Projo
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 6, No 1 (2016): Volume 6 Nomor 1 Tahun 2016
Publisher : Universitas Diponegoro

Lots of traditional games, but now the game is becoming obsolete. Many games were replaced with the modern game technology products. Modern games are becoming more practical because it did not require the terrain and many friends. Quite alone in front of the screen was a person may engage in an exciting game. One of the efforts to preserve and disseminate traditional games one of which is macan-macanan is to adapt the game into a computer game. This study aims to apply artificial intelligence using minimax algorithms and programming language ActionScript 3 in the game with a macan-macanan research methods are prototyping. The design used in this study is an artificial intelligence approach for representing the state, science, human computer interaction for designing the user experience, as well as the UML for object-based design. Results from this study is that in order to determine the value of the evaluation algorithm minimax for the end node / terminal state in the game macan-macanan, required the calculation of the total step is valid for each piece, as well as to pawn macan, necessary calculations springboard to a higher value and the weight difference the appropriate type of pawns.

Analisis Sistem Manajemen Keamanan Informasi Menggunakan ISO/IEC 27001 : 2013 Serta Rekomendasi Model Sistem Menggunakan Data Flow Diagram pada Direktorat Sistem Informasi Perguruan Tinggi Yuze, Yuni Cintia; Priyadi, Yudi; Candiwan, Candiwan
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 6, No 1 (2016): Volume 6 Nomor 1 Tahun 2016
Publisher : Universitas Diponegoro

The importance of information and the possible risk of disruption, therefore the universities need to designed and implemented of the information security.Â One of the standards that can be used to analyze the level of information security in the organization is ISO/IEC 27001 : 2013 and this standard has been prepared to provide requirements for establishing, implementing, maintaining and continually improving an information security management system. The objective of this research is to measure the level of information security based on standard ISO/IEC 27001: 2013 and modeling systems for information security management. This research uses descriptive qualitative approach, data collection and validation techniques with tringulasi (interview, observation and documentation). Data was analyzed using gap analysis and to measure the level of maturity this research uses SSE-CMM (Systems Security Engineering Capability Maturity Model). Based on the research results, Maturity level clause Information Security Policy reaches level 1 (Performed-Informally), clause Asset Management reaches level 3 (Well-Defined), clause Access Control reaches level 3 (Well-Defined), clause Physical and Environmental Security reaches level 3 (Well-Defined), clause Operational Security reaches level 3 (Well-Defined), Communication Security clause reaches the level 2 (Planned and Tracked). Based on the results of maturity level discovery of some weakness in asset management in implementing the policy. Therefore, the modeling system using the flow map and CD / DFD focused on Asset Management System.

Support Vector Machine Untuk Klasifikasi Citra Jenis Daging Berdasarkan Tekstur Menggunakan Ekstraksi Ciri Gray Level Co-Occurrence Matrices (GLCM) Neneng, Neneng; Adi, Kusworo; Isnanto, Rizal
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 6, No 1 (2016): Volume 6 Nomor 1 Tahun 2016
Publisher : Universitas Diponegoro

Texture is one of the most important features for image analysis, which provides informations such as the composition of texture on the surface structure, changes of the intensity, or brightness. Gray level co-occurence matrix (GLCM) is a method that can be used for statistical texture analysis. GLCM has proven to be the most powerful texture descriptors used in image analysis. This study uses the four-way GLCM 0o, 45o, 90o, and 135o. Support vector machine (SVM) is a machine learning that can be used for image classification. SVM has a high generalization capability without any requirement of additional knowledge, even with the high dimension of the input space. The data used in this study are the image of goat meat, buffalo meat, horse meat, and beef with shooting distance 20 cm, 30 cm and 40 cm. The result of this study shows that the best recognition rate of 87.5% was taken at a distance of 20 cm with neighboring pixels distance d = 2 in the direction GLCM 135o.

Rancang Bangun Tata Kelola Kinerja Perguruan Tinggi Menggunakan IT Balanced Scorecard Solechan, Achmad; Prasandy, Teguh
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 6, No 1 (2016): Volume 6 Nomor 1 Tahun 2016
Publisher : Universitas Diponegoro

Budgeting most colleges are not based on good governance and conceptual, but based on short-term needs in each college. Other problems are related to the use of information technology in both hardware, software and brain ware (user) in the management of information technology is still not well-thought in its development. This research aims to design a wake-up governance by using the Information Technology IT Balanced Scorecard framework is a system of management, measurement and control quickly, accurately and comprehensively can provide insight to the Leadership of the portrait and the development of information technology in institution. Information system development using SDLC (system development life cycle). College performance measurement method using IT balanced scorecard framework. The results showed that the use of information systems governance college performance using IT Balanced Scorecard help the efficiency and effectiveness in making an evaluation report IT governance, helping the presentation of information and error reduction calculations, the transaction data maintained intact his security, was able to complete the reporting process with fast, speed up the calculation process and the conclusion of the assessment of the performance of the college.Â

Model Servqual Rule Base Asean University Network untuk Penilaian Kualitas Program Studi Wijayanti, Esti; Farikhin, Farikhin; Gernowo, Rachmat
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 6, No 1 (2016): Volume 6 Nomor 1 Tahun 2016
Publisher : Universitas Diponegoro

As well known that AUN (Asean University Network.AUN) and ABET (Accreditation Boardb for Enginnering and Technology) are non-profit organitatinon which have. AUN (Asean University Network) were using variable with refer to AUNâ€™s criteriaâ€™s there consist of fifteen which are: Expected Learning Outcomes, Programme Specification, Programme Structure and Content, Teaching and Learning Strategy, Student Assessment, Academic Staff Quality, Support Staff Quality, Student Quality, Student Advice and Support, Facilities and Infrastructure, Quality Assurance of Teaching/Learning Process, Staff Development Activities, Stakeholders Feedback, Output, Stakeholders Satisfaction,and adopted score's scale 7. In there here, we discuss the fifteen AUNâ€™s of AUN in the criterias. There servqual of as can be into five dimensions, assurance, empathy, responsive, reliability and facilty in order to make the assessment's process easier. This research outcome indicated that this proposed method can be used to evaluate an education program. The validation result by using AUN's data and the analysis of servqual rule base Asean University Network almost have the same pattern with correlation value is 0,985 and this is can be accepted because its validity have reach 97%.

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

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.

Implementasi Model CCR Data Envelopment Analysis (DEA) Pada Pengukuran Efisiensi Keuangan Daerah Israwan, LM Fajar; Surarso, Bayu; Frikhin, Farikhin
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 6, No 1 (2016): Volume 6 Nomor 1 Tahun 2016
Publisher : Universitas Diponegoro

Regional budget control system is implemented through an audit and evaluation to ensure that its implementation is in accordance with the plan that it can be efficiently and effectively used. Regional budget efficiency measurement then aims to measure the efficienty of budget use of each Regional Work Unit (SKPD) and to optimalize its use. The efficiency of Regional Work Unit is measured using CCR Data Envelopment Analysis (DEA) model with one input variable and eight output variables, in which this CCR DEA applies Linear Programming approach and evaluates relative efficiency of Decision Making Units (DMUs). The sample was in a total of sixteen DMUs. The result revealed that seven DMUs were efficient, in which their reference set was then used to optimalize the input and output variables of other inefficient DMUs. This result was validated through paired sample t-test, proving to meet the hypothesis of Ho -2,042 â‰¤ tcount â‰¤ 2,042 showing that CCR DEA can be used as a method to measure regional budget efficiency with accurate results.

Metode Forward Chaining Untuk Penentuan Kelayakan Bisnis Usaha Mikro Kurniadi, Dedy; Prahasto, Toni; Widiyanto, Ibnu
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 6, No 1 (2016): Volume 6 Nomor 1 Tahun 2016
Publisher : Universitas Diponegoro

In this present study has done business feasibility of the micro industrial sector based on the importance of Business Feasibility Study (BFS) on business organization that requires an assessment of the business feasibility process as a benchmark for investors or business owners and also to minimize the business risks that may occur at a later date to be addressed appropriately. This study aims to create a Business Feasibility Information System (BFIS) using a forward chaining. Forward chaining method has a high success rate when applied in various fields. Forward chaining developed for excellent performance in solving various problems. The process of doing a forward chaining requires input variables. The input process covers legal aspects human resources and management environmental aspects marketing aspects aspects of production and financial aspects. Six variables are processed in the database that was later acquired data using inference machine to form a pattern of reasoning that is assembled using forward chaining algorithm. Further reasoning patterns are registered into a database rule to get the address data. Results from this study is a Decision Support System (DSS), which can give a decision on the feasibility assessment and business micro-enterprises in the industrial sector. This device can be developed to help entrepreneurs and investors in the micro industrial sector to assess their business activities

Metode Jaringan Syaraf Tiruan Untuk Prediksi Performa Mahasiswa Pada Pembelajaran Berbasis Problem Based Learning (PBL) Badieah, Badieah; Gernowo, Rachmat; Surarso, Bayu
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 6, No 1 (2016): Volume 6 Nomor 1 Tahun 2016
Publisher : Universitas Diponegoro

In order to improve academic quality in higher education, studentsâ€™ performance evaluation is becoming important. To prevent increasing failure rate in the course, we need a system that is capable of predicting studentâ€™s performance in the end of the course. The research used several factors that are considered to affect students' performance on Problem Based Learning (PBL), such as studentsâ€™ demography, studentsâ€™ prior knowledge and group heterogeneity. Â The method used in the study was Artificial Neural Network (ANN) with backpropagation training algorithm. Total 8 neurons were used as inputs for ANN which were obtained from gender variable (2 neurons), age variable (1 neuron), studentsâ€™ average knowledge variable (1 neuron), studentsâ€™ average skill variable (1 neuron) and group heterogeneity variable (3 neurons). Several different ANN architecture were tested in the study using 2, 7 and 12 hidden neurons respectively. Each architecture was trained using various different training parameters in order to find the best ANN architecture. Dataset usedÂ in the research were obtained from Academic Information System in Faculty of Dentistry Unissula which contained Adult and Elderly Diseases Courseâ€™s participants from year 2009 to 2013. The ANN output were numeric values which represented studentsâ€™ performance in Adult and Elderly Diseases Course. The output of this study is a system that is able to predict the student performance in block course. The result shows that using 7 hidden neurons in the network combining with 0.5 ,0.1 andÂ 9000 for learning rate, momentum and epoch respectively, were the best ANN architechture and parameters in the study. The MSE obtained from validation test was 0,011926 with correlation coefficient (R) 0,796879. The prediction system are expected to help faculty and academic evaluation team to conduct actions to improve studentâ€™s academic performance and prevent them from failure in the course.Â

Page 1 of 1 | Total Record : 10

Filter by Year

2016 2016

Filter By Issues

All Issue Vol 13, No 2 (2023): Volume 13 Nomor 2 Tahun 2023 Vol 13, No 1 (2023): Volume 13 Nomor 1 Tahun 2023 Vol 12, No 2 (2022): Volume 12 Nomor 2 Tahun 2022 Vol 12, No 1 (2022): Volume 12 Nomor 1 Tahun 2022 Vol 11, No 2 (2021): Volume 11 Nomor 2 Tahun 2021 Vol 11, No 1 (2021): Volume 11 Nomor 1 Tahun 2021 Vol 10, No 2 (2020): Volume 10 Nomor 2 Tahun 2020 Vol 10, No 1 (2020): Volume 10 Nomor 1 Tahun 2020 Vol 9, No 2 (2019): Volume 9 Nomor 2 Tahun 2019 Vol 9, No 1 (2019): Volume 9 Nomor 1 Tahun 2019 Vol 8, No 2 (2018): Volume 8 Nomor 2 Tahun 2018 Vol 8, No 1 (2018): Volume 8 Nomor 1 Tahun 2018 Vol 7, No 2 (2017): Volume 7 Nomor 2 Tahun 2017 Vol 7, No 1 (2017): Volume 7 Nomor 1 Tahun 2017 Vol 6, No 2 (2016): Volume 6 Nomor 2 Tahun 2016 Vol 6, No 1 (2016): Volume 6 Nomor 1 Tahun 2016 Vol 5, No 2 (2015): Volume 5 Nomor 2 Tahun 2015 Vol 5, No 1 (2015): Volume 5 Nomor 1 Tahun 2015 Vol 4, No 3 (2014): Volume 4 Nomor 3 Tahun 2014 Vol 4, No 2 (2014): Volume 4 Nomor 2 Tahun 2014 Vol 4, No 1 (2014): Volume 4 Nomor 1 Tahun 2014 Vol 3, No 3 (2013): Volume 3 Nomor 3 Tahun 2013 Vol 3, No 2 (2013): Volume 3 Nomor 2 Tahun 2013 Vol 3, No 1 (2013): Volume 3 Nomor 1 Tahun 2013 Vol 2, No 3 (2012): Volume 2 Nomor 3 Tahun 2012 Vol 2, No 2 (2012): Volume 2 Nomor 2 Tahun 2012 Vol 2, No 1 (2012): Volume 2 Nomor 1 Tahun 2012 Vol 1, No 3 (2011): Volume 1 Nomor 3 Tahun 2011 Vol 1, No 2 (2011): Volume 1 Nomor 2 Tahun 2011 Vol 1, No 1 (2011): Volume 1 Nomor 1 Tahun 2011 More Issue

Home Page

OAI Link

Editorial Team

Contact

Reviewer

Google Scholar

Contact Name
-

Contact Email
-

Phone
-

Journal Mail Official
-

Editorial Address
-

Location
Kota semarang,

Jawa tengah

INDONESIA

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Home Page

OAI Link

Editorial Team

Contact

Reviewer

Google Scholar

Contact Name -

Contact Email -

Phone -

Journal Mail Official -

Editorial Address -

Location Kota semarang, Jawa tengah INDONESIA

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Contact Name
-

Contact Email
-

Phone
-

Journal Mail Official
-

Editorial Address
-

Location
Kota semarang,

Jawa tengah

INDONESIA