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.
Articles
412 Documents
<![CDATA[Pendekatan Clustering untuk Ekstraksi Pengetahuan pada Pembangunan Sistem Manajemen Pengetahuan ]]>
<![CDATA[Pulukadang, Dwinta Rahmallah]]>;
<![CDATA[Mustafid, Mustafid]]>;
<![CDATA[Farikhin, Farikhin]]>
<![CDATA[ JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 5, No 2 (2015): Volume 5 Nomor 2 Tahun 2015 ]]>
Publisher : <![CDATA[Universitas Diponegoro ]]>
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DOI: 10.21456/vol5iss2pp79-83
<![CDATA[The importance of knowledge management in any organization encourages the development of a knowledge management system with features that can facilitate knowledge management processes such as storing, organizing, filtering, searching, and most important is the transfer of knowledge. The purpose of this researchis to develop a knowledge management system with a clustering approach for knowledge extraction by using a knowledge of publication writing. This study uses clustering k-means method which is used for cluster knowledge feature where at the same time can help the process of organizing, filtering, browsing and searching knowledge. The results of this research showed that the clustering k-means can be used for knowledge management system with the best value of purity= 0,8454 which is found by using k = 20. Clustering approach in the system again can help the process for knowledge searching based on knowledge cluster. This can be proved by carried out 15 times experiments which result in average level of accuracy (precision) about 89.13% and the average rate of completeness (recall)about 85.73 %.  ]]>
<![CDATA[istem Informasi Pendapatan Asli Daerah Pada Dinas Pendapatan Kabupaten Sangihe ]]>
<![CDATA[Papuas, Alfrianus]]>;
<![CDATA[Mustafid, Mustafid]]>;
<![CDATA[Sarwoko, Eko Adi]]>
<![CDATA[ JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 1, No 2 (2011): Volume 1 Nomor 2 Tahun 2011 ]]>
Publisher : <![CDATA[Universitas Diponegoro ]]>
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DOI: 10.21456/vol1iss2pp59-63
<![CDATA[Regional revenue  management requires information systems to  manage the revenue income, report  preparation and evaluation of  the effectiveness and efficiency of information technology-based revenue. This information system Debgan financial statements can be well presented, accurate, timely, and can be used directly by the user. The purpose of this research is to design and build information systems revenue (SIPAD) with the evaluation system, the applicability to the District Revenue Office Sangihe. Revenue consists of loc al taxes, fees, the company's results and the results of the other receipts or PAD. For the evaluation process , we evaluated the effectiveness and efficiency  in  order  to  measure  the  performance  of  the  management  of  PAD.  System  modeling  is  used  Unified  Modeling  Language (UML) as a standard modeling language. Information systems revenues also used to improve the per formance of local governments to manage the process of receiving PAD, and to present a report to evaluate the effectiveness and efficiency of the management of PAD. Calculation of effectiveness evaluation PAD Sangihe regency in 2011 obtained an effective criterion of 83.16 percent and an efficiency of 2.92 percent.Keywords: Information systems revenue; Revenue; Evaluation of the effectiveness and efficiency]]>
<![CDATA[Sistem Optimasi Inventory Berbasis Layanan Web Di PT Pelita Biru ]]>
<![CDATA[Bakti, Cristeddy Asa]]>
<![CDATA[ JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 7, No 1 (2017): Volume 7 Nomor 1 Tahun 2017 ]]>
Publisher : <![CDATA[Universitas Diponegoro ]]>
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DOI: 10.21456/vol7iss1pp1-8
<![CDATA[Various types of LPG sold, requiring a precise inventory management, especially the facts on the ground are often encountered uncertainties include uncertainty of demand and the performance cycle. The aim of this research is to develop decision making system to optimize inventory by the Economic Order Quantity method based on the Bowersox formula by using the combining of variables for demand uncertainty and performance cycle. The system uses the web service media method for easy access and maintenance with centralized data on the server and users only use the existing browser. The method of categorizing goods uses the category ABC by dividing the type of goods into categories A (very important), B (important) and C (not important). The results provide safe inventory value calculations based on variables of uncertainty and performance cycles. With the optimization resulting from this system, the company can maintain the availability of the goods by making appropriate arrangements, priorities, and the amount so as to minimize the occurrence of the possibility of excess and lack of stock.]]>
<![CDATA[Pengujian Model Jaringan Syaraf Tiruan Untuk Kualifikasi Calon Mahasiswa Baru Program Bidik Misi ]]>
<![CDATA[Sayekti, Ilham]]>
<![CDATA[ JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 2, No 3 (2012): Volume 2 Nomor 3 Tahun 2012 ]]>
Publisher : <![CDATA[Universitas Diponegoro ]]>
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DOI: 10.21456/vol2iss3pp146-150
<![CDATA[Testing of neural network models for qualified new students Bidik Misi program is a software program that is built by using backpropagation neural network (ANN-BP) is used for the purpose of scholarship recipients qualify Bidik Misi of incoming freshmen at Semarang State Polytechnic . By using an 8 input variables such as parental occupation, parental income, parental education, number of dependents and academic values​​, with each variable consists of several different parameters, and 1 output variable result is rejected or accepted. Through a series of tests by combining the network parameters, in order to get the optimal results of neural networks, the best results are obtained logsig and purelin activation function. As research material used data from the 127 students who signed up as a potential recipient of a scholarship Bidik Misi. From some data, 50 data used as training data (learning), and 77 are used as test data, obtained results that a system built by the backpropagation neural network was able to qualify the scholarship recipients Bidik Misi success rate reached 99.21%. Keywords : Artificial neural network; Backpropagation; Bidik Misi; Kualifikasi]]>
<![CDATA[Peningkatan Akurasi Prediksi Waktu Perbaikan Bug dengan Pendekatan Partisi Data ]]>
<![CDATA[Ridwan, Mochammad Arief]]>;
<![CDATA[Rochimah, Siti]]>
<![CDATA[ JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 8, No 1 (2018): Volume 8 Nomor 1 Tahun 2018 ]]>
Publisher : <![CDATA[Universitas Diponegoro ]]>
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DOI: 10.21456/vol8iss1pp76-83
<![CDATA[Software developers need to have a plan in setting up software development costs. Software repairs in the system maintenance phase can be caused by bugs. Bugs are malfunctions that occur in software that does not meet the needs of the software. The software bug can have a fast or long time in the repair depending on the difficulty level. Developers can be assisted by predictive model recommendations and provide time-out considerations for bug fixes. Some research has been done on the predicted time of bug fixes using various existing classification algorithms with free datasets that can be accessed or downloaded from the software site. The classification of existing research uses several datasets of varying time ranges, the results obtained from a very variable time span are assessed to be further enhanced by partitioning over time ranges prior to classification. With partitions based on the repair timeframe, improved accuracy has been made with some classification methods. The results obtained after performing trials on multiple datasets are an increase for the majority of the datasets used. There is also a decrease in accuracy in some tests performed with a particular dataset.]]>
<![CDATA[Pengenalan Wajah dengan Matriks Kookurensi Aras Keabuan dan Jaringan Syaraf Tiruan Probabilistik ]]>
<![CDATA[Adi Putraa, Toni Wijanarko]]>;
<![CDATA[Adi, Kusworo]]>;
<![CDATA[Isnanto, Rizal]]>
<![CDATA[ JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 3, No 2 (2013): Volume 3 Nomor 2 Tahun 2013 ]]>
Publisher : <![CDATA[Universitas Diponegoro ]]>
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DOI: 10.21456/vol3iss2pp82-94
<![CDATA[Sistem pengenalan wajah merupakan pengembangan metode dasar sistem autentifikasi dengan menggunakan karakteristik alami wajah manusia sebagai dasarnya. Proses pengenalan citra wajah ini melalui beberapa tahap yaitu tahap pelatihan dan tahap pengujian. Pada tahap pengujian dilakukan secara langsung dan tidak langsung. Secara tidak langsung data uji bersumber dari sekumpulan citra wajah yang sudah dipilih, sedangkan secara langsung citra wajah bersumber dari kamera. Pengenalan citra wajah manusia menggunakan penggabungan antara metode GLCM dan PNN. Tahap prapengolahan dengan merubah RGB ke dalam aras keabuan dengan metode centroid sebagai proses segmentasi citra wajah. Faktor pengenalan wajah yang diuji meliputi pencahayaan, jarak, sudut serta posisi. Pada GLCM menggunakan metode statistik dan analisis tekstur orde kedua karena merepresentasikan tekstur citra dalam parameter energi, korelasi, homogenitas dan kontras. Sedangkan PNN digunakan untuk pembentukan basisdata yang disimpan dalam jaringan untuk proses membandingkan hasil keluaran yang berupa data matrik hasil dari GLCM. Pada penelitian ini digunakan citra wajah sebagai basisdata dengan sampel sebanyak 10 orang dan 5 posisi wajah, 2 jarak pengambilan gambar citra wajah, serta 3 kategori pencahayaan. Proses pengujian menghasilkan tingkat pengenalan secara langsung sebesar 92%, sedangkan pengujian secara tidak langsung sebesar 93,33%. Â Kata kunci: GLCM; PNN; Centroid; Prapengolahan]]>
<![CDATA[Model Blue Print Smart City Pemerintah Daerah Berbasis Four Stage Method (FSM) yang Sustainable ]]>
<![CDATA[Anwar, Muhammad Tajuddin]]>
<![CDATA[ JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 9, No 1 (2019): Volume 9 Nomor 1 Tahun 2019 ]]>
Publisher : <![CDATA[Universitas Diponegoro ]]>
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DOI: 10.21456/vol9iss1pp63-70
<![CDATA[Public demands for better public services make City Government inevitably have to keep abreast of information technology (IT) promises high efficiency and better service. Some problems are planning the needs of both hardware, software and human resources are still done partially, as well as procurement, so that the grand design of IT needs to support smart city is very necessary. Data collection methods are quantitative and qualitative using observation, interviews, questionnaires and documentation studies. The results are compiled using the Four-stage e-government growth model method: (1) cataloging, (2) transactions, (3) vertical integration, and (4) horizontal integration. Comprehensive discussion on strategy and design, sustainable smart city planning with attention to several strengths and weaknesses are discussed with special emphasis placed on the extent to which the contribution of smart city sustainable development goals. Identification of challenges and opportunities using evaluation and comparison approaches with each other is in line with the smart city idea of sustainability. The gap in the sustainable smart city blueprint requires an integrated approach based on applied theoretical perspectives to harmonize existing problems and identification solutions for future practices in the field of planning and development of sustainable smart city blueprints. Blueprint smart city to operate properly requires the development and development of infrastructure all of which must be adapted to local environmental conditions, as well as the legal umbrella for sustainable management such as regulations and so forth]]>
<![CDATA[Aplikasi Sistem Pendukung Keputusan Untuk Menentukan Harga Layanan Teknologi Informasi ]]>
<![CDATA[Widodo, Edi]]>;
<![CDATA[Mustafid, Mustafid]]>;
<![CDATA[Widiyanto, Ibnu]]>
<![CDATA[ JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 4, No 3 (2014): Volume 4 Nomor 3 Tahun 2014 ]]>
Publisher : <![CDATA[Universitas Diponegoro ]]>
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DOI: 10.21456/vol4iss3pp194-204
<![CDATA[The effects of recency of information technology (IT) will be invested impaired, this makes it difficult to assess the information technology investment. This study intend to calculate the production cost of IT services with the activity based costing system method, to assess IT investments. This study make the position of IT department as an independent business that sells services to other departments within the organization (IT as a service - ITaaS). To assess the IT investment carried out in 3 stages, 1) Do departmentalize overhead, 2) Calculate the production cost of IT services,3) Perform investment analysis using cash flow simulation with the net present value method. The result of this study is decision support system information to assist management in determining the implementation of IT investments, to do their own (in-house) or purchased from an outside party (outsourced). In this way, losses due to errors in executing IT investments can be avoided, because the analysis is done prior IT investments held. Â Keywords: IT Investment; Net Present Value (NPV); Activity-Based Costing system (ABC);Value chain; IT as a Service (ITaaS)]]>
<![CDATA[Sistem Aplikasi Penyelesaian Masalah Program Linier Standar Maksimal Berbasis Web dengan Keluaran Sesuai Produk Kemasan terkecil ]]>
<![CDATA[Sriwasito, Putut]]>;
<![CDATA[Surarso, Bayu]]>;
<![CDATA[Sarwoko, Eko Adi]]>
<![CDATA[ JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 1, No 2 (2011): Volume 1 Nomor 2 Tahun 2011 ]]>
Publisher : <![CDATA[Universitas Diponegoro ]]>
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DOI: 10.21456/vol1iss2pp99-107
<![CDATA[Individual or cooperation  as the producer who produces more than one product always has a problem to determine the amount of each product, as well as the smallest packaging used to generate the maximum revenue but still meet the inventory of existing facilities. If the inventory of facilities and functions form a linear function of income then the problem is called the program a maximu m linear case, where all supplies are  limited means of the standard linear program is called maximal. Although the system has available a linear program to solve the problem,  the system is only owned by a limited circle, this system also  does not provide the smallest packaging option.  In general linear programming problem is solved by the simplex method with any number of real output in decimal or fractional format  mix.  Settlement  is  not  operational  because  the  manufacturers  do  not  always  able  to  make  the  smallest  product  packaging  in accordance with the unit on completion, to become operational, the results of this settlement may be rounded according to the smallest package selected. The problem of limited manufactures which have a system of linear program application can be overcome by providing a system similar to a web-based applications. This study compiled a web-based application system to solve a standard linear program that generates the maximum revenue that maximum use PHP software, data entered through the form and then taken by the POST method, then set up a matrix, carried out by iterating between the rows in the matrix operations that met the criteria optimal. By ch oosing the smallest packaging  which is used  0.25 units or 0.50  units, the system  check the number of products that  have  the smallest rounding according to the package selected, then the system prepare and present the inventory and revenue report.Keywords: Simplex metho; The smallest packaging; Web-based]]>
<![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.]]>
