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Sistem Deteksi Retinopati Diabetik Menggunakan Support Vector Machine
Setiawan, Wahyudi;
Adi, Kusworo;
Sugiharto, Aris
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 2, No 3 (2012): Volume 2 Nomor 3 Tahun 2012
Publisher : Universitas Diponegoro
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DOI: 10.21456/vol2iss3pp109-116
Diabetic Retinopathy is a complication of Diabetes Melitus. It can be a blindness if untreated settled as early as possible. System created in this thesis is the detection of diabetic retinopathy level of the image obtained from fundus photographs. There are three main steps to resolve the problems, preprocessing, feature extraction and classification. Preprocessing methods that used in this system are Grayscale Green Channel, Gaussian Filter, Contrast Limited Adaptive Histogram Equalization and Masking. Two Dimensional Linear Discriminant Analysis (2DLDA) is used for feature extraction. Support Vector Machine (SVM) is used for classification. The test result performed by taking a dataset of MESSIDOR with number of images that vary for the training phase, otherwise is used for the testing phase. Test result show the optimal accuracy are 84% . Â Keywords : Diabetic Retinopathy, Support Vector Machine, Two Dimensional Linear Discriminant Analysis, MESSIDOR
Data-Based Fuzzy TOPSIS for Alternative Ranking
Utomo, Victor;
Gernowo, Rahmat;
Sugiharto, Aris
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 3, No 2 (2013): Volume 3 Nomor 2 Tahun 2013
Publisher : Universitas Diponegoro
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DOI: 10.21456/vol3iss2pp104-108
Technique for Order Preference by Similarity (TOPSIS) solves multi-criteria decision making (MCDM) by ranking the alternatives. When the attributes are not deterministic, a Fuzzy TOPSIS method is applied. The traditional fuzzy TOPSIS depends on decision makers to determine alternative’s value which considered subjective. A new method named data-based fuzzy TOPSIS proposed to diminish the dependency to decision maker. The proposed algorithm use data to determine alternative’s values objectively. Subtractive Clustering (SC) and Fuzzy C-Mean (FCM) selected to transform crisp value data to fuzzy value data. Some modification applied to SC and FCM to obtain fuzzy triangular value needed by fuzzy TOPSIS.  Keyword : Index Terms—Decision support systems, fuzzy TOPSIS, fuzzy C-mean, subtractive clustering
Penilaian Risiko Aplikasi Web Menggunakan Model DREAD
Suprihanto, Didit;
Prahasto, Toni;
Sugiharto, Aris
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 3, No 2 (2013): Volume 3 Nomor 2 Tahun 2013
Publisher : Universitas Diponegoro
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DOI: 10.21456/vol3iss2pp59-66
Application that is developed by web based, beside has surplus in WWW technology, it has susceptibility side that can be threat too. Susceptibility generate risk and can bring out big trouble even effect big disadvantage. The goal of this research is design and build document risk assessment system of threat level and prevention advice. It use DREAD model as method to solve trouble by giving qualified information. This information are used to produce risk level in web application. The result of this research is web application risk assessment system by using DREAD model to know risk threat level and equate perception of web threat risk to application developer, minimize of threat risk and maximize performance of web application.  Keywords : DREAD model, web threat risk, web risk assessment system
The Prediction of Bandwidth On Need Computer Network Through Artificial Neural Network Method of Backpropagation
Mekongga, Ikhthison;
Gernowo, Rahmat;
Sugiharto, Aris
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 2, No 2 (2012): Volume 2 Nomor 2 Tahun 2012
Publisher : Universitas Diponegoro
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DOI: 10.21456/vol2iss2pp098-107
The need for bandwidth has been increasing recently. This is because the development of internet infrastructure is also increasing so that we need an economic and efficient provider system. This can be achieved through good planning and a proper system. The prediction of the bandwidth consumption is one of the factors that support the planning for an efficient internet service provider system. Bandwidth consumption is predicted using ANN. ANN is an information processing system which has similar characteristics as the biologic al neural network.  ANN  is  chosen  to  predict  the  consumption  of  the  bandwidth  because  ANN  has  good  approachability  to  non-linearity.  The variable used in ANN is the historical load data. A bandwidth consumption information system was built using neural networks  with a backpropagation algorithm to make the use of bandwidth more efficient in the future both in the rental rate of the bandwidth and in the usage of the bandwidth.Keywords: Forecasting, Bandwidth, Backpropagation
Sistem Informasi Perpustakaan Berbasis Web Application
Irawan, Yudie;
Mustafid, Mustafid;
Sugiharto, Aris
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 1, No 2 (2011): Volume 1 Nomor 2 Tahun 2011
Publisher : Universitas Diponegoro
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DOI: 10.21456/vol1iss2pp69-72
Digital  library  system  contributes  the  development  of  digital  resource  digital  resource  that  can  be accessed  via the  Internet.  Librarymanagement system contributed to the development of automation membership data processing, circulation and cataloging. In this thesisis  to develop  a new  concept of  digital  library  systems  and  library  management  system  by  integrating  these  two systems  architecture. Integration  architecture  implemented  by  inserting  component  library  management  system  into  the  digital  library  system  architecture. Web application technology required for these components in order to be integrated with the digital library system components.  The newsystem  has  the advantage  of  this  development  application  utilization  of  borrowing,  membership  and  kataloging  to  a  sharable  over the internet,  so  applications  that  can  be used  together.  Information  can be  delivered  between the  library  catalog,  without  leaving the  digitallibrary function in the utilization of shared digital resources derived from uploading by each librarian.Keywords : Digital library system; Library management system; Web application
Penilaian Kinerja Pegawai Lingkungan Perguruan Tinggi dengan Metode Topsis
Setyadi, Ary;
Adi, Kusworo;
Sugiharto, Aris
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 2, No 3 (2012): Volume 2 Nomor 3 Tahun 2012
Publisher : Universitas Diponegoro
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DOI: 10.21456/vol2iss3pp139-145
Employee performance measurement is very important for evaluation and future planning. Most of the government and private agencies are still using Daftar Penilaian Pelaksanaan Pekerjaan (DP3) to assess the performance their employees. DP3 goal is to obtain an objective consideration to employee development and career system based on job performance, formally it used to be a principal consideration material of periodic salary increases and promotions. In this research made ​​a Decision Support System (DSS) for employee performance appraisal DP3 at the college by using TOPSIS method. In this DSS ​​of which there are eight criteria in the DP3, everything is broken down into several sub criteria to get more objective assessment. Initial input of the TOPSIS method is obtained through a calculation using the AHP to find the eigen value of each criterion and the intensity. System created to describe the process of AHP and TOPSIS at each step in a matrix that can be studied and evaluated the truth of each step in the method used. In testing, this system  is quite effective in the calculation that uses looping and selection. Keywords: TOPSIS, employee performance evaluation, DP3
Penerapan Sistem Informasi Geografis dan AHP Untuk Klasifikasi Masyarakat
Supriyono, Supriyono;
Mustafid, Mustafid;
Sugiharto, Aris
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 1, No 1 (2011): Volume 1 Nomor 1 Tahun 2011
Publisher : Universitas Diponegoro
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DOI: 10.21456/vol1iss1pp41-46
Geographic  information  system  useful  to the  government's  classifications  to  determine  the priority of the  welfare of  society.  While  the criteria  used  are  6  criteria  and  14  sub  criteria  and  their  implementation  is  still  done  by  manual.  The  method  used  in  the  study  "The implementation  of  Geographic  Information  Systems  and  AHP  for  Village-Based  Economic  Classification  Society"  is  the  method  ofAnalytical  Hierarchy  Process  (AHP)  in  which  the  classification  process  conducted  by  the  preparation  of  the  hierarchy,  giving  the comparative value of each criterion to determine the value of the criteria. As for the mapping process using Quantumgis and MSAW 3.0. Quantumgis  and  MSAW  3.0  is used  because  both applications  are  open source applications  that  can  be used  without having  to pay  fortheir use. The results of the application system that can be used to make the process of classification societies where the determination ofcriteria  and  sub  criteria  can  be changed  in accordance  with  the  desired  indicator.  Results  included  as  data  calculation  and  classificationwith the City district map can be made a map of economic classification society in City districtKeywords: Geographic information systems; AHP; Economic; Classification society.
Sistem Informasi Ekstensibilitas E-Commerce Berdasarkan Data Trafik Menggunakan Statistik Proses Kontrol
Gunawan, Andi;
Mustafid, Mustafid;
Sugiharto, Aris
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 1, No 3 (2011): Volume 1 Nomor 3 Tahun 2011
Publisher : Universitas Diponegoro
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DOI: 10.21456/vol1iss3pp109-116
The concept of quality control has been widely used in companies for the fulfillment of customer satisfaction on products produced. Loss of customers due to in appropriate quality standards are important avoided by the company. This study aims to establish quality control information system e-Commerce in the diagram view map control. In this study, it is used Statistic Process Control (SPC) method. In the early stages, e-Commerce is assumed to have  met  with quality variable of EWAM  method. Transaction visitation opportunities at a certain period used as a parameter of quality, and is called extensibility. The visitation data were collected by web traffic and applications and transaction data that occur in e-Commerce. Waterfall model approach was used in the prototype development process. The results of this  study  was  the  extensibility  of  e-Commerce  information  system.  Automation  of  data  collection  occurs  in  real  time  information system, so  that the e-Commerce extensibility statements can be  continuously  monitored. Analysis of results displayed by the  control chart suggested that a sustain effort in the control of extensibility can provide benefits in an effort to retain customers while management can  use  number  of  extensibility  variable  in  increasing  profitability  of  the  company  or  the  consideration  of  using  e -Commerce. Completion  of  e-Commerce  extensibility  can  gradually  be  increased  through  the  reduction  of  extensibility  variation,  while  the improvement of extensibility relies on the reparation of e-Commerce systems associated with EWAM variable.Keywords : E-Commerce; Web traffic; Extensibility;  Quality control; Automation
SISTEM PAKAR DIAGNOSA PENYAKIT TELINGA HIDUNG TENGGOROK (THT) DENGAN MENGGUNAKAN METODE INFERENSI BERBASIS SHORT MESSAGE SERVICE (SMS)
Indriyawati, Henny;
Sugiharto, Aris;
Surarso, Bayu
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 3, No 1 (2013): Volume 3 Nomor 1 Tahun 2013
Publisher : Universitas Diponegoro
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DOI: 10.21456/vol3iss1pp01-06
Public understanding about otolaryng desease (THT) is still insufficient. Most of them medically untrained so that when they experienced thesymptoms of the disease, they might not be able to understand how to overcome the symptoms. It is regrettable when the symptoms could not be handled because of insufficient knowledge. This problem has encouraged the birth of expert system concept. The purpose of the use of the expert system is to help public solve their problems by using the knowledge possessed by the expert system without visiting the experts directly. By the exixtence of this expert system, public are able to detect the presence of the otolaryng disease based on their symptoms. The testing of the system show that the system is capable to diagnose otolaring disease by entering a list of symptoms through short message service. Then the application will process the input data bu using inferensi method and forward chaining reasoning techniques to produce usefull information for the public. The research is result the accuracy level around 87,5%. Keywords : Expert system; Forward chaining; SMS.
Rancang Bangun Sistem Business Intelligence Universitas Sebagai Pendukung Pengambilan Keputusan Akademik
Arifin, Zainal;
Sugiharto, Aris
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 3, No 1 (2013): Volume 3 Nomor 1 Tahun 2013
Publisher : Universitas Diponegoro
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DOI: 10.21456/vol3iss1pp30-40
Sistem business intelligence universitas dimulai dengan tahapan integrasi data, analisis data, membuat laporan dan membuatweb portal dan kemudian mengitegrasikan laporan tersebut dengan web portal. Analisis data diolah dengan OLAP, KPI dandata mining untuk mengekstrak informasi dari data yang tersimpan didalam data warehouse. Hasil proses analisis datatersebut di representasikan dalam bentuk laporan statistik dan dashboard, kemudian digunakan sebagai pendukungpengambilan keputusan akademik. Penelitian ini bertujuan merancang bangun sistem business intelligence universitassebagai pendukung pengambilan keputusan akademik pada Universitas Mulawarman berbasis web dengan OLAP. Penelitianini menghasilkan kerangka sistem dan web portal sistem business intelligence universitas yang diakses melalui browsersecara online. Business Intelligence dapat digunakan sebagai solusi untuk mempertimbangkan proses pengambilan keputusandalam pengelolaan universitas dan solusi dalam peningkatan kinerja pengelolaan akademik untuk mencapai keunggulanakademik.Kata kunci : Business Intelligence; Data warehouse; OLAP; KPI; Data mining