cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
-
Contact Email
-
Phone
-
Journal Mail Official
-
Editorial Address
-
Location
Kota semarang,
Jawa tengah
INDONESIA
JURNAL SISTEM INFORMASI BISNIS
Published by Universitas Diponegoro
ISSN : 20883587     EISSN : 25022377     DOI : -
Core Subject : Economy, Science,
Computer Science & IT Economics, Econometrics & Finance
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 8 Documents
 1 
Search results for , issue "Vol 2, No 3 (2012): Volume 2 Nomor 3 Tahun 2012" : 8 Documents clear
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

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (928.963 KB) | DOI: 10.21456/vol2iss3pp109-116

Abstract

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% .   Keywords : Diabetic Retinopathy, Support Vector Machine, Two Dimensional Linear Discriminant Analysis, MESSIDOR
Sistem Pakar Mendeteksi Kerusakan Rambut Menggunakan Basis Aturan (Rule Base Reasoning) dengan Metode Forward Chaining Al Amin, Imam Husni; Suhartono, Suhartono
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 2, No 3 (2012): Volume 2 Nomor 3 Tahun 2012
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (594.432 KB) | DOI: 10.21456/vol2iss3pp134-138

Abstract

One part of the human body that has a psychological role, especially in terms of self-confidence is hair. Application of expert system is designed as a tool for diagnosing hair damage. Base rules compiled into a database in such a way so as to facilitate the performance of the system. The method used in the forward chaining inference expert system to detect damage to the hair so that the user can know what kind of hair damage, solutions and how to treat them. Conformity or similarity between the results of expert diagnosis and testing of the system shows that this expert system design can be used easily, quickly and accurately.   Keywords : forward chaining, hair damage, the rule base reasoning, expert systems.
Enterprise Architecture Planning Untuk Pengembangan Sistem Informasi Perguruan Tinggi Khairina, Dyna Marisa; Mustafid, Mustafid; Noranita, Beta
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 2, No 3 (2012): Volume 2 Nomor 3 Tahun 2012
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21456/vol2iss3pp117-123

Abstract

In the development of the information system needed a plan that will complement the university's strategic direction. Planning process utilizing enterprise architecture planning methodologies that produce a conceptual model of the enterprise architecture that includes data architecture, application and technology. This research aim to make enterprise architecture planning a conceptual model of the enterprise architecture as a high-level blueprint for data, applications and technology. Conceptual model enterprise architecture generated can be used as a blueprint for data, applications and technology in the development of information systems. Results of the blueprint enterprise became architecture planning for the needs of the data, estimates of technology platforms and applications as well as other things that are needed in the development of an integrated information system in university.   Keywords:  Enterprise architecture planning; Data architecture; Application architecture; Technology architecture
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

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (559.616 KB) | DOI: 10.21456/vol2iss3pp139-145

Abstract

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 Model Certainty Factor Untuk Mendeteksi Gejala Kanker Mulut Rahim Mariana, Novita; Gernowo, Rahmat; Noranita, Beta
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 2, No 3 (2012): Volume 2 Nomor 3 Tahun 2012
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21456/vol2iss3pp152-159

Abstract

An expert system is a system that seeks to adopt human expertise so that computers can do things that can be done by an expert to solve specific problems. Experts in this case is an expert in the field to address the problem under on detecting cervical cancer. Cervical cancer is a disease that is very afraid of all women because it attacks the reproductive organs caused by the virus Human Papilloma Virus (HPV). The system is made to detect cervical cancer using the certainty factor with a forward chaining inference engine. Certainty factor method used in cervical cancer detection system to give certainty to the disease. As a result of this information system is to provide information regarding the statement of cervical cancer and cancer treatment solution according to the stage.   Kata kunci : Certainty Factor; Forward Chaining; Kanker Mulut Rahim
RANCANG BANGUN APLIKASI SISTEM PREDIKSI KEBUTUHAN BANDWIDTH PADA HARI LIBUR DENGAN METODE FUZZY TIME SERIES S.Kom, M.Kom, Aryanti; Mekongga, Ikhtison; M.Si, Dr. Suryono
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 2, No 3 (2012): Volume 2 Nomor 3 Tahun 2012
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21456/vol2iss3pp126-131

Abstract

Besarnya kebutuhan bandwidth mempresentasikan kapasitas dari koneksi, semakin tinggi kebutuhan bandwidth, umumnya akan diikuti oleh kinerja yang lebih baik Pada penelitian ini dirancang dan direalisasikan Aplikasi Sistem Prediksi Kebutuhan Bandwidth Pada Hari Libur dengan Metode Fuzzy Time Series. Sistem prediksi ini menggunakan kecerdasan buatan yaitu logika fuzzy yang salah satu metodenya adalah fuzzy time series. Sistem pediksi dengan fuzzy time series menangkap pola dari data yang telah lalu kemudian digunakan untuk memproyeksikan data yang akan datang.  Adapun data yang digunakan adalah data histori pengguna bandwidth pada hari libur yang disesuaikan dengan kalender akademik. Selanjutnya data tersebut akan dibelajarkan pada sistem perangkat lunak yang sudah dirancang. Software pendukung untuk merancang program digunakan Borland C #. Dari hasil pengujian yang dilakukan dengan menggunakan metode Song-Chissom untuk kondisi libur mempunyai error rata-rata 6,51 %
Rancang Bangun Sistem Informasi Pelayanan Kesehatan Berbasis Customer Relationship Management Menggunakan Teknologi Short Message Service (SMS) Sutrisno, Trismianto Asmo Sutrisno; Prahasto, Toni; Suhartono, Suhartono
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 2, No 3 (2012): Volume 2 Nomor 3 Tahun 2012
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21456/vol2iss3pp160-168

Abstract

Recently, there are many hospitals as the health-care services choose to use the concept of Customer Relationship Management (CRM) to build the trust bridges between the hospitals and their patients. The implementation of CRM in health caring, especially for pregnant women needs to do; such as the delivery of information related to the pregnant women to get antenatal care as the scheduled or pregnant women desire to obtain information dealing with their pregnancy. The irrelevant, slow and inaccurate information can cause the health care services given to the patients are not optimal, so that they can reduce patients’ loyalty toward the health-care services. This research resulted health care information system based on Customer Relationship Management using Short Message Service (SMS) technology with case study of health care for pregnant women. The resulted information system is produced by the System Development Life Cycle methodology using the Waterfall model. One of the features produced is the pregnant women will receive a confirmation SMS to obtain antenatal care with a schedule until 28 weeks of their pregnancy check up every four weeks, 28-36 weeks of their pregnancy check up every two weeks, and 36-40 weeks of their pregnancy check up once a week.   Keywords: Pregnant Women, Antenatal Care, Customer Relationship Management, Short Message Service
Pengujian Model Jaringan Syaraf Tiruan Untuk Kualifikasi Calon Mahasiswa Baru Program Bidik Misi Sayekti, Ilham
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 2, No 3 (2012): Volume 2 Nomor 3 Tahun 2012
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21456/vol2iss3pp146-150

Abstract

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

Page 1 of 1 | Total Record : 8

 1 

Filter by Year

2012 2012


Reset
Filter By Issues
All Issue Vol 13, No 2 (2023): Volume 13 Nomor 2 Tahun 2023 Vol 13, No 1 (2023): Volume 13 Nomor 1 Tahun 2023 Vol 12, No 2 (2022): Volume 12 Nomor 2 Tahun 2022 Vol 12, No 1 (2022): Volume 12 Nomor 1 Tahun 2022 Vol 11, No 2 (2021): Volume 11 Nomor 2 Tahun 2021 Vol 11, No 1 (2021): Volume 11 Nomor 1 Tahun 2021 Vol 10, No 2 (2020): Volume 10 Nomor 2 Tahun 2020 Vol 10, No 1 (2020): Volume 10 Nomor 1 Tahun 2020 Vol 9, No 2 (2019): Volume 9 Nomor 2 Tahun 2019 Vol 9, No 1 (2019): Volume 9 Nomor 1 Tahun 2019 Vol 8, No 2 (2018): Volume 8 Nomor 2 Tahun 2018 Vol 8, No 1 (2018): Volume 8 Nomor 1 Tahun 2018 Vol 7, No 2 (2017): Volume 7 Nomor 2 Tahun 2017 Vol 7, No 1 (2017): Volume 7 Nomor 1 Tahun 2017 Vol 6, No 2 (2016): Volume 6 Nomor 2 Tahun 2016 Vol 6, No 1 (2016): Volume 6 Nomor 1 Tahun 2016 Vol 5, No 2 (2015): Volume 5 Nomor 2 Tahun 2015 Vol 5, No 1 (2015): Volume 5 Nomor 1 Tahun 2015 Vol 4, No 3 (2014): Volume 4 Nomor 3 Tahun 2014 Vol 4, No 2 (2014): Volume 4 Nomor 2 Tahun 2014 Vol 4, No 1 (2014): Volume 4 Nomor 1 Tahun 2014 Vol 3, No 3 (2013): Volume 3 Nomor 3 Tahun 2013 Vol 3, No 2 (2013): Volume 3 Nomor 2 Tahun 2013 Vol 3, No 1 (2013): Volume 3 Nomor 1 Tahun 2013 Vol 2, No 3 (2012): Volume 2 Nomor 3 Tahun 2012 Vol 2, No 2 (2012): Volume 2 Nomor 2 Tahun 2012 Vol 2, No 1 (2012): Volume 2 Nomor 1 Tahun 2012 Vol 1, No 3 (2011): Volume 1 Nomor 3 Tahun 2011 Vol 1, No 2 (2011): Volume 1 Nomor 2 Tahun 2011 Vol 1, No 1 (2011): Volume 1 Nomor 1 Tahun 2011 More Issue