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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 12 Documents
Search results for , issue "Vol 5, No 1 (2015): Volume 5 Nomor 1 Tahun 2015" : 12 Documents clear
SISTEM PENDUKUNG KEPUTUSAN UNTUK MENGEVALUASI INTERNAL PROGRAM STUDI Padiku, Indhitya Rahman; Widodo, Achmad
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 5, No 1 (2015): Volume 5 Nomor 1 Tahun 2015
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (641.36 KB) | DOI: 10.21456/vol5iss1pp40-46

Abstract

The development of major and study program cannot be separated by some internal factors weather directly influenced number of new registration students or indirectly. It needs a method to both know and to analyze internal evaluation variables in major or study program. Naive Bayes Clasifier (NBC) method is the simple form of Bayesian network that assume all features are independent each other. NBC shows us a great performance entirely in accuracy and error level classification. NBC is able to differentiate irrelevance attribute and also classified some attributes in prediction needs. This research hopefully can be useful for major internal evaluating and study program in order to increase the number of new registration students. The classification by influenced of variables to evaluate the condition of both major and study program for the new registration students.
IMPLEMENTASI ALGORITMA K-NEAREST NEIGHBOR SEBAGAI PENDUKUNG KEPUTUSAN KLASIFIKASI PENERIMA BEASISWA PPA DAN BBM Sumarlin, Sumarlin
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 5, No 1 (2015): Volume 5 Nomor 1 Tahun 2015
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1677.37 KB) | DOI: 10.21456/vol5iss1pp52-62

Abstract

In line with the growth in the academic field especially college, scholarship is a problem that is interesting to study. Several studies in the field of computers for the screening or classification scholarships have been carried out in the academic authorities to minimize the error in awarding scholarships. This study discusses the classification of PPA and BBM scholarships based on variables that have been determined by applying the k-nearest neighbor algorithm. The process of selecting awardees PPA and BBM requires a decision support system (DSS) to help provide alternative solutions. The results of the classification system will be used as a decision in awarding scholarships to students who submit. Results of testing to measure the performance of k - nearest neighbor algorithm using cross validation method, Confusion Matrix and the Receiver Operating Characteristic (ROC) curve, the accuracy obtained for PPA scholarships reached 88.33% with a value of 0.925 area under curve (AUC)  dataset of 227 records, while accuracy is obtained for fuel BBM scholarships reached 90% with a value of  0.937% AUC dataset of 183 records??, accuracy for PPA and BBM scholarships reached 85,56% and AUC value 0,958. Because AUC values ??were in the range of 0.9 to 1.0  the method falls within the category of very good (excellent). Keywords: Decision Support System; K-nearest neighbor; Classification; Scholarship
RULE-BASE METHOD FOR ANALYSIS OF QUALITY E-LEARNING IN HIGHER EDUCATION darsih, darsih darsih
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 5, No 1 (2015): Volume 5 Nomor 1 Tahun 2015
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (621.949 KB) | DOI: 10.21456/vol5iss1pp72-78

Abstract

ABSTRACT Assessing the quality of e-learning courses to measure the success of e-learning systems in online learning is essential. The system can be used to improve education. The study analyzes the quality of e-learning course on the web site www.kulon.undip.ac.id used a questionnaire with questions based on the variables of ISO 9126. Penilaiann Likert scale was used with a web app. Rule-base reasoning method is used to subject the quality of e-learningyang assessed. A case study conducted in four e-learning courses with 133 sample / respondents as users of the e-learning course. From the obtained results of research conducted both for the value of e-learning from each subject tested. In addition, each e-learning courses have different advantages depending on certain variables. Keywords : E-Learning, Rule-Base, Questionnaire, Likert, Measuring.
SISTEM PENDUKUNG KEPUTUSAN PENYELEKSIAN PROPOSAL DANA MENGGUNAKAN METODE AHP D NUMBERS Kurniati, Rezki; Surarso, Bayu; Farikhin, Farikhin
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 5, No 1 (2015): Volume 5 Nomor 1 Tahun 2015
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (893.808 KB) | DOI: 10.21456/vol5iss1pp9-18

Abstract

Selection offundsproposals was done to selectan eligible applicant. The Selectioninvolvesmultipleassessors(decision group) totakea decision. This study used AnalyticProcessHirarcyDampsterNumber orknown as theAHPDNumbersorD-AHP. This methodcan beusedfordecision makingprocess ofindividuals andgroups.In additionD-AHP alsosolve the problemwithcomplete informationandincompleteinformation. D-AHP processby consideringthe selectioncriteriaandalternativeassessment.Assessmentby doinga comparisonbetweenthe criteria.Furthercomparisonof thealternativecriteria.The end result isarankingof theoptions. . Keywords: DNumbers; D-AHP; Preference relation; Proposal selection
SISTEM INFORMASI PEMETAAN PENDIDIKAN MENGGUNAKAN ALGORITMA DATA MINING Musa, Olha; Suhartono, Suhartono
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 5, No 1 (2015): Volume 5 Nomor 1 Tahun 2015
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (445.509 KB) | DOI: 10.21456/vol5iss1pp26-32

Abstract

in this study to identify the increase in educational services based on the quality of non-formal education is an indicator, having tiered in terms of education, non-formal education (training) to be one of the prerequisites in multiplying the potential for self-development. Data mining algorithms is a basic k-means clustering to put the object based on the average (Means) nearest cluster. Aims to design mapping information system education with the k-means cluster. Application k-means cluster is part of a non-hierarchical method, the mapping system of education in 171 samples of data Isalam Students Association (HMI) were tested in this study showed that the non-hierarchical method (k-means cluster) has a good degree of accuracy because they specify the number of clusters in advance. Education information system mapping is used to cluster the data level, corresponding formal education and training has been followed. Education information system mapping is used to cluster the data level, corresponding formal education and training has been followed . The test results have in me some real, the spread of the data in each cluster are similar.  At the time of  the iteration process is not visible difference in the results of the mapping study using the k-means cluster. Results of a cluster centroid information models with variable 4 educated members include S1, S2, has entered basic training cluster  0, educated S1, S2, S3 has entered basic training cluster 1, S1 has educated basic training and training of incoming intermediate cluster 2, educated S1 has entered basic training cluster 3. formal education, education tiered seen in cluster 1 for non-formal education  (training) tiered education seen in cluster 2. Based the test results k-means cluster.   Keywords: Information Systems; Educational Mapping; Cluster; K?means
PENGEMBANGAN SISTEM INFORMASI UNTUK MENENTUKAN PRIORITAS PEMBERIAN KREDIT DENGAN METODE PROMETHEE Sujarwo, Sujarwo
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 5, No 1 (2015): Volume 5 Nomor 1 Tahun 2015
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (309.584 KB) | DOI: 10.21456/vol5iss1pp47-51

Abstract

This study develops an information system for decision-making on priority lending and introduce new information into the decision-making process resulting in the selection process more realistic.The method used in this research method PROMETHEE "Preference Ranking Organization Method for Enrichment Evaluation" is used in a decision support system for its simplicity, clarity, and stability with the assessment of several alternative criteria for determining the order of decision making (priority) in the multicriteria analysis. After that, compared with the manual calculation of the bank. This method can be applied to all types of decision-making problems with heterogeneous information and multigranular. The result of this study is that the information system built to produce a ranking as follows: A prospective customers rank 1, C rank 2, B rank 3, E rank 4, D rank 5, and F rank 6, then compared that with the manual there is a difference ranking ranking which puts prospective customers in rank F 4 which turns the loan installment payments problems occur. Keywords: Promethee; Rank; Decision Making System.
IMPLEMENTASI FUZZY MODEL TAHANI UNTUK PERANCANGAN SISTEM PENDUKUNG KEPUTUSAN PENERIMAAN TARUNA BARU Hidayat, Eko Hidayat
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 5, No 1 (2015): Volume 5 Nomor 1 Tahun 2015
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (454.317 KB) | DOI: 10.21456/vol5iss1pp63-71

Abstract

In this research, a decision support system design had been done by using   Fuzzy database of Tahani Model, to know the excess of Fuzzy Tahani Model in a support system design of new cadets? admission decision. The designed system was by the sequence of data input Fuzzy or non Fuzzy, the representation of membership function on each variable input Fuzzy, the process of Fuzzification on each variable into each Fuzzy set, the use of Zadeh basic operator to operate the Fuzzy set until give a recommendation. The result showed that the built system could give recommendation to support the decision of selected cadets based on the input criteria given. The excess of this system was on the flexibility of giving recommendation. The compatability of accepted cadets? candidate with the recommendation of given system was 66.96%, due to the management strategis interest. Keywords : Fuzzy Database; New Cadet?s Admission; Decision Support Systems
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

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (527.762 KB) | DOI: 10.21456/vol5iss1pp33-39

Abstract

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.
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

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (5055.86 KB) | DOI: 10.21456/vol5iss1pp1-8

Abstract

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 ??obtained at 68.34% and the lowest was in 2009 at 60.84%.   Keywords: Performance Measurement; Balanced scorecard; Key Performance Indicator; Information System; Palm oil
BACK MATTER JSINBIS VOLUME 5 NOMOR 1 TAHUN 2015 M.Eng, Ph.D, Prof. Mustafid
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 5, No 1 (2015): Volume 5 Nomor 1 Tahun 2015
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (152.924 KB) | DOI: 10.21456/vol5iss1pp%p

Abstract

Back Matter JSINBIS Volume 5 Nomor 1 Tahun 2015

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