cover
Contact Name
-
Contact Email
-
Phone
-
Journal Mail Official
-
Editorial Address
-
Location
Kota semarang,
Jawa tengah
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 8 Documents
Search results for , issue " Vol 1, No 1 (2014): Volume 4 Nomor 1 Tahun 2014" : 8 Documents clear
Kombinasi Balanced Scorecard dan Objective Matrix Untuk Penilaian Kinerja Perguruan Tinggi Mahmudi, A Aviv; Surarso, Bayu; Subagio, Agus
JURNAL SISTEM INFORMASI BISNIS Vol 1, No 1 (2014): Volume 4 Nomor 1 Tahun 2014
Publisher : Magister Sistem Informasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (754.465 KB)

Abstract

Working Assessment is very essential aspect for a college to keep its excellent quality to face tight competition in either national or international level. The working assessment can be implemented to compare the result with organization strategy, and can also help to plan the upcoming strategy to achieve the final target of organization. The combination of Balanced Scorecard and OMAX is aimed at building the information system of working assessment in a college. Balanced Scorecard in the college is used to determine the strategic purposes, KPI and target, optimistic and pessimistic value. The scoring of each KPI uses AHP method; the scoring of KPI influences on general working score. The scoring of working assessment uses Objective Matrix (OMAX) method to know the total result indicator stated by the college, and can find out the total result indicator of each working criterion. The combination of BSC and OMAX can avoid the use of overwhelming data because this model focused on four perspectives, with the important key indicator of a college. Besides, the four perspectives can avoid the orientation of short-term target, because OMAX developed the more obvious frame of time that also focused on the long-term target. This combination was a good integration that can afford to modify hybrid model in determining the score card of a college. BSC changed into the form of OMAX that presented a target in the long period. This combination is also a good integration that can afford to modify a hybrid model in determining the scorecard of the college. BSC changes into the form of OMAX that presents the long-term target.   Keywords: AHP; Balanced scorecard; OMAX; Work assessment; College
Particle Swarm Optimization Untuk Sistem Informasi Penjadwalan Resource Di Perguruan Tinggi Mansur, Mansur; Prahasto, Toni; Farikhin, Farikhin
JURNAL SISTEM INFORMASI BISNIS Vol 1, No 1 (2014): Volume 4 Nomor 1 Tahun 2014
Publisher : Magister Sistem Informasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (2225.617 KB)

Abstract

Course timetabling management information system is a system focusing on data management resource and constraints in optimizing the use of available resources and avoid clashing in the process of making class timetabling, so that the resulting information will be effective. Results of such information may assist the college in planning the use of space, and to develop programs of study. Data resource and constraints are implemented using timetabling information system with PSO algorithm. The results of the data analysis using the PSO algorithm by combining six hard constraint and two soft constraints cannot produce an optimal solution, because there are still clashing lecturer-timeslot (soft1), but without combining both soft constraints can produce maximum solutions in the use of the room, where the solution with the best fitness value (0.333), c1(2,0), c2(2,0), w(0,2), and maximum of 10 iterations of the desired solution. The final results are timetabling management information system for resource utilization that generates class timetable information and use of the room.   Keywords : Management information system; PSO algorithm; Resource; Constraints; Course timetabling; Higher education
Sistem Pakar Identifikasi Modalitas Belajar Siswa Dengan Implementasi Algoritma C4.5 Soewono, Rachmawati; Gernowo, Rachmat; Sasongko, Priyo Sidik
JURNAL SISTEM INFORMASI BISNIS Vol 1, No 1 (2014): Volume 4 Nomor 1 Tahun 2014
Publisher : Magister Sistem Informasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1984.46 KB)

Abstract

C4.5 Algorithm is one of the classification technique in machine learning which is used in data mining process by build a decision tree which is represent in the rules. The aims of classification technique in data mining is to recognize the regularity of the pattern and the relation in a huge dataset by historical data collection. Students’ modalities measurement which is done by the questionnaire is produce historical data which is potentially to be processed to generate the classification that can be converted in rules. The expert acquisition and the C4.5 algorithm classification rules are used as knowledge base in the expert system. Therefore this research is done to build an expert system of the student’s modalities identification by implementing C4.5 algorithm that can produce seven categories of modalities classification, they are : visual, auditory, kinesthetic, visual-auditory, visual-kinesthetic, auditory-kinesthetic and visual-auditory-kinesthetic which has good in accuracy. The accuracy of the C4.5 algorithm classification and the expert system testing prediction is 80%. Keywords : Expert system; Decision tree; C4.5 Algorithm; Modalities.  
Aplikasi Penentuan Tarif Listrik Menggunakan Metode Fuzzy Sugeno Santosa, Hari
JURNAL SISTEM INFORMASI BISNIS Vol 1, No 1 (2014): Volume 4 Nomor 1 Tahun 2014
Publisher : Magister Sistem Informasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1819.643 KB)

Abstract

This reasearch applied Sugeno fuzzy method for determining electricity tariff  based on the data of electric customers 450 VA and 900 VA from PLN APJ South Semarang. Tariff of  PLN clasifications calculation is done in a progressive way with three block/ classification tariff . This method is considered less representative because many users who consume less or more electrical energy (kWh) in one block/class charged or valued equally. Electric customer data during the 5 months from May to September 2012, which contains a large kWh consumption is then calculated by means of progressive tariff . The data is then performed clustering with FCM method (Mean C Fuzz) into 5 groups, thus obtained cluster centers or power usage and price rates. The power usage and price of the cluster centers are used ​​as a reference manufacture and fed into the membership function of fuzzy inference system  built by Sugeno method. This research used the triangular shape of the curve membership function.The system  built in the form of application Sugeno fuzzy method which is tested by inserting a number of sample test data . The results are  the tariff  to be paid by electricity customers . The tariff is resulting from the calculation of the system compared to the tariff calculated in a progressive way of PLN. The difference in total tariff to customers for power of 450 VA Rp 93.3107   or 0.004%, while for the 900 VA at Rp  3503.2  or 0.12 %. The tariff were calculated using Sugeno fuzzy method from this research is more fair to the consumer  there is increase  in revenue for PLN.   Keywords : Fuzzy Sugeno; Tariff classification; Calculation
Sistem Pendukung Keputusan Penilaian Proposal Kegiatan PNPM MPd Menggunakan Metode Profile Matching dan Analytic Hierarchy Process (AHP) Mufid, Ahmad
JURNAL SISTEM INFORMASI BISNIS Vol 1, No 1 (2014): Volume 4 Nomor 1 Tahun 2014
Publisher : Magister Sistem Informasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (2024.627 KB)

Abstract

Assessment of PNPM-MPd’s proposal not run quickly and objectively. The purpose of this research is to create software to help the verification team in conducting an objective assessment of the proposals using the profile matching method and the analytic hierarchy process (AHP). Profile matching method is used to provide an assessment, determination of the gap, and the weighting criteria. While the AHP method is used to calculate the pairwise comparison matrices, eigenvalues​​, priorities, maximum eigenvalues​​, consistency index (CI) and consistency ratio (CR). CR values ​​are used to determine the order in which proposals will be funded by BLM. The final result of this research is decision support system software for assessment of PNPM-MPd’s proposal that can determine the rank of the highest value to lowest. Keywords : Assessment; Profile matching; Analytic Hierarchy Process (AHP)
Penerapan Metode Self-Organizing Map (SOM) Untuk Visualisasi Data Geospasial Pada Informasi Sebaran Data Pemilih Tetap (DPT) Anis, Yunus; Isnanto, R.Rizal
JURNAL SISTEM INFORMASI BISNIS Vol 1, No 1 (2014): Volume 4 Nomor 1 Tahun 2014
Publisher : Magister Sistem Informasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1857.983 KB)

Abstract

A Self-Organizing Map (SOM ) is a neural network method that has been introduced by Professor Teuvo Kohonen since 1980, as an artificial neural network topology without supervision (Unsupervised ANN), in which the learning process does not require supervision or target output. In this paper, the implementation methods of SOM is used to perform data clustering voters (DPT) in the General Election Governor level. The results of the clustering process then used to perform data classification air-geographical references (geo-referenced) that integrates visualization of the output space through a cartographic representation of the color settings, and explore the use of line width between the boundary-water element geographic reference, calculated according to the distance in the input space is best between locations. Clustering results is then used as the basis for determining the color criteria in the development of the Web-GIS application based on interval number of voters.   Keywords : Self-organizing map; Unsupervised ANN; Clustering; Geo-referenced; Cartographics representation
Diagnosis Kerusakan Bantalan Gelinding Pada Sistem Industri Dengan Metode Self Organizing Map (SOM) Wibowo, Dega Surono; Widodo, Achmad
JURNAL SISTEM INFORMASI BISNIS Vol 1, No 1 (2014): Volume 4 Nomor 1 Tahun 2014
Publisher : Magister Sistem Informasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1388.406 KB)

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 Pemungutan Suara Elektronik Menggunakan Model Poll Site E-Voting Haryati, Haryati; Adi, Kusworo; Suryono, Suryono
JURNAL SISTEM INFORMASI BISNIS Vol 1, No 1 (2014): Volume 4 Nomor 1 Tahun 2014
Publisher : Magister Sistem Informasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (3511.509 KB)

Abstract

General elections is a regular agenda for a democtaric state, the applied paper based voting has several drawbacks, including spoiled ballots, inaccuracy in the counting of votes and reporting of election results which tends to be slow. Therefore , it needs to develop an electronic voting system that is user friendly for Indonesian people, which will reduce confusion from the previous system changes. Electronic voting aims at increasing participation, accuracy and efficiency of election results. Electrinoc voting has its own challenges to the implementation in Indonesia, ranging from the lack of legal protection, the heterogeneous level of education, culture, soceity and the digital gaps. The model developed in this thesis is the poll site e-voting, based on the rules of General Elections Commision (KPU) as the organizer of the elections. In this model, people still go to the pools, using the ID number od ID card as a verification tool and voting at the voting booths provided. The system automatically stores the results in a database option, and after the spesified time will show both the results of the voting and other and other information required by the Commission. Voting system with a model of e-voting poll site is expected to have a good chance an a low level of risk to be applied in Indonesia.   Keywords : E-voting; Poll site; Rule based; Risk.

Page 1 of 1 | Total Record : 8