JURNAL SISTEM INFORMASI BISNIS
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.
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<![CDATA[Back Matter JSINBIS Volume 5 Nomor 1 Tahun 2015 ]]>
<![CDATA[M.Eng, Ph.D, Prof. Mustafid]]>
<![CDATA[ JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 5, No 1 (2015): Volume 5 Nomor 1 Tahun 2015 ]]>
Publisher : <![CDATA[Universitas Diponegoro ]]>
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DOI: 10.21456/vol5iss1pp%p
<![CDATA[Back Matter JSINBIS Volume 5 Nomor 1 Tahun 2015]]>
<![CDATA[Sistem Pendukung Keputusan Untuk Mengevaluasi Internal Program Studi ]]>
<![CDATA[Padiku, Indhitya Rahman]]>;
<![CDATA[Widodo, Achmad]]>
<![CDATA[ JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 5, No 1 (2015): Volume 5 Nomor 1 Tahun 2015 ]]>
Publisher : <![CDATA[Universitas Diponegoro ]]>
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DOI: 10.21456/vol5iss1pp40-46
<![CDATA[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.]]>
<![CDATA[Sistem Informasi Pengukuran Kinerja Pada Perkebunan Kelapa Sawit Dengan Menggunakan Metode Balanced Scorecard ]]>
<![CDATA[Rosmiati, Rosmiati]]>;
<![CDATA[Mustafid, Mustafid]]>;
<![CDATA[Widiyanto, Ibnu]]>
<![CDATA[ JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 5, No 1 (2015): Volume 5 Nomor 1 Tahun 2015 ]]>
Publisher : <![CDATA[Universitas Diponegoro ]]>
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DOI: 10.21456/vol5iss1pp1-8
<![CDATA[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]]>
<![CDATA[Penerapan Metode AHP-TOPSIS Untuk Penyeleksian Permohonan Kredit Pada Koperasi Pegawai Republik Indonesia ]]>
<![CDATA[Gani, Hilmansyah]]>;
<![CDATA[Suseno, Jatmiko Indro]]>
<![CDATA[ JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 5, No 1 (2015): Volume 5 Nomor 1 Tahun 2015 ]]>
Publisher : <![CDATA[Universitas Diponegoro ]]>
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DOI: 10.21456/vol5iss1pp33-39
<![CDATA[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.]]>
<![CDATA[Pengembangan Sistem Informasi Untuk Menentukan Prioritas Pemberian Kredit dengan Metode Promethee ]]>
<![CDATA[Sujarwo, Sujarwo]]>
<![CDATA[ JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 5, No 1 (2015): Volume 5 Nomor 1 Tahun 2015 ]]>
Publisher : <![CDATA[Universitas Diponegoro ]]>
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DOI: 10.21456/vol5iss1pp47-51
<![CDATA[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.]]>
<![CDATA[Implementasi Fuzzy Model Tahani Untuk Perancangan Sistem Pendukung Keputusan Penerimaan Taruna Baru ]]>
<![CDATA[Hidayat, Eko Hidayat]]>
<![CDATA[ JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 5, No 1 (2015): Volume 5 Nomor 1 Tahun 2015 ]]>
Publisher : <![CDATA[Universitas Diponegoro ]]>
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DOI: 10.21456/vol5iss1pp63-71
<![CDATA[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]]>
<![CDATA[Sistem Pendukung Keputusan Penyeleksian Proposal Dana Menggunakan Metode AHP D Numbers ]]>
<![CDATA[Kurniati, Rezki]]>;
<![CDATA[Surarso, Bayu]]>;
<![CDATA[Farikhin, Farikhin]]>
<![CDATA[ JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 5, No 1 (2015): Volume 5 Nomor 1 Tahun 2015 ]]>
Publisher : <![CDATA[Universitas Diponegoro ]]>
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DOI: 10.21456/vol5iss1pp9-18
<![CDATA[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]]>
<![CDATA[RULE-BASE METHOD FOR ANALYSIS OF QUALITY E-LEARNING IN HIGHER EDUCATION ]]>
<![CDATA[darsih, darsih darsih]]>
<![CDATA[ JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 5, No 1 (2015): Volume 5 Nomor 1 Tahun 2015 ]]>
Publisher : <![CDATA[Universitas Diponegoro ]]>
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DOI: 10.21456/vol5iss1pp72-78
<![CDATA[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.]]>
<![CDATA[Implementasi Algoritma K-Nearest Neighbor Sebagai Pendukung Keputusan Klasifikasi Penerima Beasiswa PPA dan BBM ]]>
<![CDATA[Sumarlin, Sumarlin]]>
<![CDATA[ JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 5, No 1 (2015): Volume 5 Nomor 1 Tahun 2015 ]]>
Publisher : <![CDATA[Universitas Diponegoro ]]>
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DOI: 10.21456/vol5iss1pp52-62
<![CDATA[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]]>
<![CDATA[Penerapan Metode Hill Climbing Pada Sistem Informasi Geografis Untuk Mencari Lintasan Terpendek ]]>
<![CDATA[Dangkua, Eka Vickraien]]>;
<![CDATA[Gunawan, Vincencius]]>;
<![CDATA[Adi, Kusworo]]>
<![CDATA[ JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 5, No 1 (2015): Volume 5 Nomor 1 Tahun 2015 ]]>
Publisher : <![CDATA[Universitas Diponegoro ]]>
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DOI: 10.21456/vol5iss1pp19-25
<![CDATA[Heuristic search methods is one of the methods commonly in use in finding the shortest path, one of which, namely the methods Hill Climbing process where testing is done using heuristic functions. Problems generally encountered is the shortest path search to solve the problem of distance can be changed into a graph structure, where the point of declaring the city and the State line that connects the two cities. From the logic so that it can locate destinations and save on travel costs. The hallmarks of this algorithm are all possible solutions will have then checked one by one from the left side, so it will be obtained solutions with optimal results. On a Hill Climbing method according to case using geographic information systems as a tool in making a decision, by way of collect, examine, and analyze information related to digital map. with a combination of Hill Climbing method and geographic information systems can result in an application that is certainly feasible for use in the search path problems. Â Keywords: Hill Climbin method; digital map; Geographic Information Systems]]>
