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[Model Heuristic Time Invariant Fuzzy Time Series dan Regresi Untuk Prediksi Laba dan Analisis Variabel yang Mempengaruhi ]]>
<![CDATA[Admirani, Ica]]>;
<![CDATA[Gernowo, Rachmat]]>;
<![CDATA[Suryono, Suryono]]>
<![CDATA[ JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 6, No 2 (2016): Volume 6 Nomor 2 Tahun 2016 ]]>
Publisher : <![CDATA[Universitas Diponegoro ]]>
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DOI: 10.21456/vol6iss2pp144-153
<![CDATA[Model of prediction with fuzzy time series method has ability to capture the pattern of past data to predict the fu ture of data does not need a complicated system, making it easier to use. The research aims to built prediction system using model of heuristic time invariant fuzzy time series and multiple linear regression to predict profit and analysis of variables that affect profit. Profit forecasting aims to determine the company's prospects in the future in order to remain exist in doing its business. The variables that use in the modelling are profit as the dependent variable, and sales, cost of goods sold, general and administrative expenses, selling and marketing expenses and interest income as the indepent variables. Profit forecasting modelling begins by defining universe of discourse and interval actual data of profit, then determine fuzzy set and actual data fuzzified. Furthermore, fuzzy logical relationship and fuzzy logical relationships group to fuzzified data. The prediction process consist of two prediction phase there are training phase aimed to determine trend predictor and testing phase to determine prediction results. By using 24 profit data samples resulted prediction error by using Mean Absolute Percentage Error is 11,64% and added 13 data for testing obtained prediction error is 22,27%.  In analysis of variables that affect profit is known that sales variable most effect on profit than other variables with a regression coefficient 0.976.]]>
<![CDATA[Metode Simulated Annealing untuk Optimasi Penjadwalan Perkuliahan Perguruan Tinggi ]]>
<![CDATA[Sari, Wiktasari]]>;
<![CDATA[Suseno, Jatmiko Endro]]>
<![CDATA[ JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 6, No 2 (2016): Volume 6 Nomor 2 Tahun 2016 ]]>
Publisher : <![CDATA[Universitas Diponegoro ]]>
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DOI: 10.21456/vol6iss2pp133-143
<![CDATA[Course scheduling an assignment of courses and lecturers in the available time slots involving certain restrictions. Simulated annealing is a heuristic method can be used as search method and provide acceptable solutions with good results. The research aims to make scheduling courses at the college using simulated annealing using five variables data that lecturer courses, the time slot is comprised of the day and the time period and class room. The research has two objective functions to be generated, the first is the assignment of a lecturer on courses that will be of teaching, second lecturers and their assignment course on the time slot and the room available. The objective function is calculated by taking into account the restrictions involved to produce the optimal solution. The validation is performed by testing to simulated annealing method with an varian average of 77.791% of the data variance can reach a solution with a standard deviation of 3.931509. In this research given the method of solution in the use of the remaining search space to be reused by the data that is unallocated.]]>
<![CDATA[Diagnosa Kerusakan Bearing Menggunakan Principal Component Analysis (PCA) dan Naïve Bayes Classifier ]]>
<![CDATA[Pudyastuti, Dwi]]>;
<![CDATA[Prahasto, Toni]]>;
<![CDATA[Widodo, Achmad]]>
<![CDATA[ JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 6, No 2 (2016): Volume 6 Nomor 2 Tahun 2016 ]]>
Publisher : <![CDATA[Universitas Diponegoro ]]>
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DOI: 10.21456/vol6iss2pp114-123
<![CDATA[This research is discussing about the usage of data mining which addressed for bearing fault diagnosis. Bearing was one of the essential parts in industry machinery. Bearing was used to reduce machines frictions or could be a moving component which oppressed each other. This fault diagnosis can avoid loss and damage of other machines components. This research was started with data preprocessing using wavelet discrete transformation, feature extraction, feature reduction using Principal Component Analysis (PCA), and classification process using Naïve Bayes classifier methods. Naïve Bayes Classifier is a classification method which based on probability and Bayesian theorem. Output of these method shows that Naïve Bayes classification have a good performance which shown by a good accuracy in each data test.]]>
<![CDATA[Penentuan Prioritas Perbaikan Jalan Berbasis Metode Analytic Network Process Sebagai Komponen Menuju Kota Cerdas ]]>
<![CDATA[Wahyul Amien Syafei]]>;
<![CDATA[Kusnadi Kusnadi]]>;
<![CDATA[Bayu Surarso]]>
<![CDATA[ JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 6, No 2 (2016): Volume 6 Nomor 2 Tahun 2016 ]]>
Publisher : <![CDATA[Universitas Diponegoro ]]>
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DOI: 10.21456/vol6iss2pp105-113
<![CDATA[Smart city become a demand for people to live in more comfort and easier. Knowledge is needed in every decision support system in smart city. This paper presents a research in determining the priority order of road handling based on level of service by using Analytic Network Process which is implemented into decision support systems as a component toward smart city. Variables used refers to the Highway Capacity Manual Indonesia based on the volume of traffic and the road characteristic data. Analytic Network Process is used because of its advantages in conducting multi-criteria assessment on the basis of the subjective judgment of decision makers and can combine quantitative and qualitative data. From the results of the validation test between the system output and outcome data field issued by Dishubinkom Cirebon, the accuracy of the test results of 10 streets in the city of Cirebon with validation test Spearman Rank correlation is equal to 0.867. The results showed Analytic Network Process can be implemented and an appropriate solution in determining the road handling priority.]]>
<![CDATA[Penerapan Green Supply Chain Management Untuk Peningkatan Kinerja Keuangan Perusahaan ]]>
<![CDATA[Puryono, Daniel Alfa]]>;
<![CDATA[Mustafid, Mustafid]]>;
<![CDATA[Jie, Ferry]]>
<![CDATA[ JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 6, No 2 (2016): Volume 6 Nomor 2 Tahun 2016 ]]>
Publisher : <![CDATA[Universitas Diponegoro ]]>
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DOI: 10.21456/vol6iss2pp154-163
<![CDATA[In this research the assessment of the processes green supply chain management for corporate financial performance improvement. This research was based on the company goal to achieve profit by lowering the risk and environmental impact while improving the ecological efficiency by implementing green supply chain management in order to improve the company's financial performance.The method used in this research is a Green Supply Chain Management (GSCM). The management process of the company was done with by giving weight to the indicators of the green supply chain and measuring supply chain performance by using AHP method. Then compared with the acquired real weight of the Green SCOR model. While to measuring the financial performance of the company to know the position of the company by using ROA and EVA calculation that exist in the methods of Du Pont Ratio Analysis.The results of this research is a decision system information which is capable of linking green supply chain performance with the company's financial performance. The results of the analysis indicated that the supplying, making, delivering and returning are very sustainable. The assessment result shows 87.3% of companies have increased the company's financial and 12.7% companies’ efï¬ciency. This information system can be developed to assist the manager in the company's decision-making started from the sustainable design. This research method can be developed to assess the extent of each indicator of the supply chain performance related to the financial strategies.]]>
<![CDATA[Algoritma K-Means Clustering Untuk Pengelompokan Ayat Al Quran Pada Terjemahan Bahasa Indonesia ]]>
<![CDATA[Robani, Miftachur]]>;
<![CDATA[Widodo, Achmad]]>
<![CDATA[ JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 6, No 2 (2016): Volume 6 Nomor 2 Tahun 2016 ]]>
Publisher : <![CDATA[Universitas Diponegoro ]]>
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DOI: 10.21456/vol6iss2pp164-176
<![CDATA[Clustering process can make the process of grouping data so that the data in the same cluster have high similarity with the data in the same cluster. One of the clustering algorithm that is widely used is the K-Means because it has advantages such as simple, efficient, easy to understand and easy to apply. Grouping paragraph dealing with similar themes will allow users to find a theme in the Qur'an. This study aims to produce an information system that can perform grouping Quran with K-Means method. This research was conducted with a pre-processing stage process for text data, weighting by TFIDF, grouping data with K-Means clustering, labeling data for keywords. The resulting system is able to display a verse in groups associated with the keyword. The test results by using the index on the silhouette of Surah Al Fatihah generate positive value of 0.336 which means that the data in the right group, while the frequency of keywords versus the amount of data to produce a percentage of 53%, which means the keyword represents half of the data in the cluster. Tests also showed that the test results silhouette will be directly proportional to the number of clusters and inversely proportional to the number of data dimensions. To increase the value of testing required centroid method for early elections, the reduction of data dimensions and methods of measurement of distance and similarity.]]>
<![CDATA[Evaluasi Keamanan Sistem Informasi Akademik Menggunakan ISO 17799:2000 (Studi Kasus Pada Peguruan Tinggi X) ]]>
<![CDATA[Mokodompit, Mona Permatasari]]>;
<![CDATA[Nurlaela, Nurlaela]]>
<![CDATA[ JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 6, No 2 (2016): Volume 6 Nomor 2 Tahun 2016 ]]>
Publisher : <![CDATA[Universitas Diponegoro ]]>
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DOI: 10.21456/vol6iss2pp97-104
<![CDATA[The security of an information system in a college is important since the strength of the security system will have a direct impact on the sustainability of the college. Academic information system in college is used in order to meet academic need, and therefore it’s security must be maintained in order to provide useful information for its users. Assessment standard for management information system information security that is internationally recognized is ISO 17799:2000. The research aims to evaluate the security academic information system of University X based on ISO 17799:2000 and to give recommendations to improve the security. This study was conducted using interview techniques, observation and giving questionnaires to managers and users of academic information system of university X. The questionnaire used is a closed questionnaire, which is a broke-down result of ten control clauses of ISO 17799:2000. Answers gathered were then assessed based on established criteria. The results showed that the academic information system security of University X included in the category of less secure, where the result presentation obtained was 59%. In order to increase the security, University X must give special attention to work on the security policy, security organization, personnel security, physical and environmental security, communication and operation management, access control and compliance.]]>
<![CDATA[Evaluasi Kinerja Organisasi Publik Dengan Menggunakan Pendekatan Balanced Scorecard dan Analytic Network Process ]]>
<![CDATA[Tunggul, Adi Mora]]>;
<![CDATA[Isnanto, Rizal]]>;
<![CDATA[Nurhayati, Oky Dwi]]>
<![CDATA[ JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 6, No 2 (2016): Volume 6 Nomor 2 Tahun 2016 ]]>
Publisher : <![CDATA[Universitas Diponegoro ]]>
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DOI: 10.21456/vol6iss2pp124-132
<![CDATA[Balanced scorecard is a strategic business management method that links performance evaluation to vision and strategies using a multidimensional set of financial and nonfinancial performance metrics. This study examined both quantitative data for the proposed Analytic Network Process method. The purpose of this research is to build a model that combines the Balanced Scorecard approach and Analytical Network Process to assist in the performance evaluation of public organizations tax services. Balanced Scorecard concept is applied to determine the hierarchy of the financial perspective, customer perspective, internal business processes, and learning and growth perspective as well as their respective performance indicators of public organizations and then Analytical Network Process used to tolerate vagueness and ambiguity of information and built an information system that is applied to facilitate the performance evaluation process. The study provides recommendations to the management of public organizations regarding the tax service strategy to improve the performance of public organizations.]]>
<![CDATA[Penerapan Principal Component Analysis untuk Mereduksi Dimensi Data Penerapan Teknologi Informasi dan Komunikasi untuk Pendidikan di Sekolah ]]>
<![CDATA[Wulandari, Diah]]>;
<![CDATA[Prahasto, Toni]]>;
<![CDATA[Gunawan, Vincencius]]>
<![CDATA[ JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 6, No 2 (2016): Volume 6 Nomor 2 Tahun 2016 ]]>
Publisher : <![CDATA[Universitas Diponegoro ]]>
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DOI: 10.21456/vol6iss2pp91-96
<![CDATA[This study aimed to analyze the most influential variable in the implementation of ICT in schools. Principal component analysis using linear algebra to reduce the dimension of data with variables that are interconnected into a new set of data with variables that are not related to each other, called the principal component. Principal component is used to save and calculate how much correlation within varian. The ICT data is collected from 50 schools, this data is grouped into five group based on reference domain of ICT for education indicator by UIS 2009. Dataset per group is used as input for principal component analysis algorithm with Matlab R2014a and produce principal component. Principal component analysis produce five variable with the most influence based on their domain, there are mean hour for individual using of ICT in curicculum domain, existence school in internet in infrastructure domain, learner proportion in using computer laboratory for learning in teacher development domain, learner propostion that computer basic skill course in participation domain.]]>
<![CDATA[Sistem Informasi Manajemen Rantai Pasok Pariwisata Untuk Pembuatan Produk Wisata Pada Agen Tour dan Travel dengan Analisis Swot dan Metode Analytic Network Process ) ]]>
<![CDATA[Kusumawardani, Dwi Mustika]]>;
<![CDATA[Sediyono, Eko]]>
<![CDATA[ JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 6, No 2 (2016): Volume 6 Nomor 2 Tahun 2016 ]]>
Publisher : <![CDATA[Universitas Diponegoro ]]>
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DOI: 10.21456/vol6iss2pp177-185
<![CDATA[The development of services company in tourism is increasing. Therefore each tour & travel agent should be able to improve the quality of attractive and competitive products. This research builds a system analysis of supply chain management in the manufacturing of tour packages with SWOT analysis and Analytic Network Process (ANP). SWOT analysis is one way to decide marketing strategy for the company to able to face global competition. In this study, a SWOT analysis is used to select the best suppliers in tourism sector. Suppliers include: hotels, restaurants, attractions and accommodations. Combination of the best suppliers used as in one product of tour package. While the method of Analytic Network Process is used to rank the tour package has been obtained previously. In addition, this method is applied because it can provide information about the most influential of criteria in making tour package. This method conducted by looking at dependency relationship between among criteria. Then give them weight among criteria, sub-criteria and alternatives. The criteria used in the method of Analytic Network Process are: product, price, place and promotion. The results obtained from this research is the system analysis of supply chain management of tourism which capable of producing an attractive and competitive tour packages form of tour packages 1 with a value of 0.53. In addition, this information system provides information that the most influential criteria in making tour package is the product criteria with a value of 0.30. The next criterion which affects the making of attractive and competitive tour packages is price of criteria with a value of 0.28.]]>
