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INDONESIA
JURNAL SISTEM INFORMASI BISNIS
Published by Universitas Diponegoro
ISSN : 20883587     EISSN : 25022377     DOI : -
Core Subject : Economy, Science,
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 305 Documents
Implementasi Kansei Engineering pada Aplikasi E-learning Untuk Sekolah Menengah Kejuruan Megasyah, Yoga
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 9, No 2 (2019): Volume 9 Nomor 2 Tahun 2019
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (415.785 KB) | DOI: 10.21456/vol9iss2pp165-176

Abstract

E-learning is the basis and logical consequence of the development of information and communication technology. With E-learning, teaching and learning methods in schools that use technology through electronic media such as computers, laptops, netbooks, or smartphones with internet networks or others. This study uses Kansei Word to detect the feelings of users of E-learning applications. The Kansei Word list is used as many 15 words related to the appearance of the E-learning application. E-learning application specimens used 8 specimens. This study involved 80 participants consisting of 40 students from SMK PGRI 3 Cimahi, 40 students from SMK 4 Padalarang. The questionnaire results from participants were then processed using multivariate statistical analysis, namely Cronbach's Alpha, Coefficient Correlation Analysis (CCA), Principal Component Analysis (PCA), Factor Analysis (FA) and Partial Least Square (PLS) analysis. This study produced 3 recommendations for the design of E-learning application. This recommendation is the result of the Kansei Engineering process which comes from 3 groups of participant data, namely groups of data of all participants, participants of SMK PGRI 3 Cimahi students and participants of SMK 4 Padalarang students.
Implementasi Metode Promethee Dan Borda Dalam Sistem Pendukung Keputusan Pemilihan Lokasi Pembukaan Cabang Baru Bank Apriliani, Dyah; Adi, Kusworo; Gernowo, Rachmat
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 5, No 2 (2015): Volume 5 Nomor 2 Tahun 2015
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (710.309 KB) | DOI: 10.21456/vol5iss2pp145-150

Abstract

The selection of a new branch bank location is crucial to the success of the bank in the future. The object of this research is BMT Muamalat. PROMETHEE method is used to manage individual decision of each decision makers, while Borda method is used to manage group decisions of PROMETHEE method in ranking the results. The use of these two methods is one solution to produce a more objective group decision. Ranked of alternative location have appropriated with the opening rules of the new branches of BMT Muamalat. As for the variables in this study are criminality, facilities and infrastructures, per capita income, economic growth, population, and the number of competitors around the alternative location of a new branch. The results of this research is Banyuputih as the best alternative location.  
Web Usage Mining, Pattern Discovery dan Log File Suratno, Tri; Prahasto, Toni; Rochim, Adian Fatchur
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 1, No 2 (2011): Volume 1 Nomor 2 Tahun 2011
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (635.627 KB) | DOI: 10.21456/vol1iss2pp93-98

Abstract

Analysis  of  data  to  access  the  server  can  provide  significant  and  useful  information  for  performance  improvement,  restructuring  andimproving the effectiveness of a web site. Data mining is one of the most effective way to detect a series of patterns of information from large amounts of data. Application of  data mining  on  Internet use  called web  mining  is a set of  data mining  techniques  are  used  for the web. Web mining technologies and data mining is a combination of web, which is the integration of technology resources extracted from the  information  world wide web  as  the  implications  of the  web  resources  of interest to  know the  value  of the  model extraction Potentialuse of  data mining  algorithms  over  a variety  of  observational  data for  identify  patterns  of  web resources. Target analysis of web mining is the data from the web, such as data visitors access, web page structure, and format web pages.  Target analysis of the study is that web mining  web  usage  mining  using  association  rules  on  the  website  www.faperta.unja.ac.id  obtained  from  the  log  file  that  is  used  to discover the navigation patterns, and discover the rules of the association between a combination of items.  To  determine the pattern ofvisits  in  a  web,  and  to  identify  what  pages  are frequented by  visitors  of  a  website,  which  can  be used  to  improve  website design  andrecommend the display, as well as the links are often used by visitors, so the quality of services from website www.faperta.unja.ac.id can be provided effectively and efficiently.Keywords : Web Mining; Web usage mining; Data mining; Log file; Website; World wide web
Implementasi Simple Additive Weighting Untuk Monitoring Aktivitas Perkuliahan Dengan Menggunakan Radio Frequency Identification Darmawan, Ashari
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 7, No 1 (2017): Volume 7 Nomor 1 Tahun 2017
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1033.061 KB) | DOI: 10.21456/vol7iss1pp48-58

Abstract

Monitoring of learning activities has a very important role to improve the quality of education in University. The research  aims to develop a monitoring system of learning activities in real time by using simple additive weighting and radio frequency identification technology.A simple additive weighting method is used to determine the weighting of each criterion involved in the system, while radio frequency identification technology is used electronically to identify and store learning activity information. Monitoring system built using learning activities data in the room and lecturer activities using radio frequency identification tag in real time. The results of the system include the recording of monitoring data of lecturing activities that produce lecturer attendance reports on each class in real  time, thus making efficient the time, effort and cost. The system also produces a ranking of lecturer discipline on each of the criteria that gives the difference of outcomes among the consistent lecturers present on schedule with inconsistent lecturers present on schedule. The results of monitoring of lecture activities can be used for university leaders as a decision-making material quickly based on actual data in real time to improve the quality of the learning process.
Sistem Informasi Geografis Berbasis Web untuk Pemetaan Sebaran Alumni Menggunakan Metode K-Means Handoko, Slamet; Sediono, Eko; Suhartono, Suhartono
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 1, No 2 (2011): Volume 1 Nomor 2 Tahun 2011
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (868.306 KB) | DOI: 10.21456/vol1iss2pp80-85

Abstract

The  graduates  of  State  Polytechnic  of  Semarang  are  not  only  the  member  of  social  community  but  also part  of  State Polytechnic  of Semarang  community  who  have  academic  knowledge  and  special  skills.  Based  on  the  researcher  observation  the  graduates  of  State Polytechnic  of  Semarang  are  not  recorded,  the  management  of  State  Polytechnic  of  Semarang  has  not  provided  a  system  that  can facilitate  the  interaction  between  State  Polytechnic  of  Semarang  and  graduates.  In  this  thesis,  the  system  for  mapping  the  graduates distribution is aimed to measure the level of the  graduates  compliance skill with the competence area of their job. The method of KMeans Clustering is used for grouping the distribution of State Polytechnic of Semarang graduates. Grouping or clustering mechanism in this system is based on four variables. They are  type of company, job classification, working area, and competency of study program. While  the geographical position of graduates is used to filter the data when the users are searching the graduates location in a ce rtain province.  In  this  research  the  cluster  is  divided  into  three,  they  are,  cluster  one:  graduates  have  matching  competence,  cluster  two: graduates have matching enough competence, and cluster three: graduates have no matching competence.Keywords: Clustering;  GIS ;  K-Means
Prediksi Harga Saham Harian Menggunakan Jaringan Syaraf Tiruan (JST) Dengan Algoritma Propagasi Balik Purwanto, Purwanto; Adi, Kusworo
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 3, No 3 (2013): Volume 3 Nomor 3 Tahun 2013
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21456/vol3iss3pp

Abstract

Prediksi harga saham berguna bagi investor untuk memahami bagaimana investasi masuk dalam suatu organisasi di masa depan. Prediksi dapat mengantisipasi fluktuasi harga saham dan juga dapat membantu investor untuk membuat keputusan. Jaringan Syaraf Tiruan (JST) menyediakan cara yang cepat dan fleksibel untuk memprediksi harga saham, dan menunjukkan hasil yang baik dibandingkan dengan metode konvensional. Algoritma yang digunakan untuk prediksi saham adalah backpropagation dengan model data time series. Algoritma ini merupakan metode pelatihan terawasi yang berfungsi untuk meminimalkan error pada output yang dihasilkan oleh jaringan. Hasil penelitian ini menunjukkan bahwa hasil optimal yang diperoleh dari Jaringan Syaraf Tiruan adalah menggunakan kombinasi fungsi aktivasi Logsig-Purelin, dengan tingkat nilai Mean Absolute Percentage Error (MAPE) adalah 2.43% dan nilai koefesien korelasinya adalah  94.08%, sehingga algoritma ini layak dan efektif untuk prediksi harga saham.   Kata kunci : Jaringan Syaraf Tiruan, Backpropagation, Peramalan, Harga Saham, Time Series
Penggunaan Analytical Hierarchy Process (AHP) Untuk Pemilihan Supplier Bahan Baku Khairun Nisa, Addien Agustina; Subiyanto, Subiyanto; Sukamta, Sri
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 9, No 1 (2019): Volume 9 Nomor 1 Tahun 2019
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (431.486 KB) | DOI: 10.21456/vol9iss1pp86-93

Abstract

The purpose of this paper is to present a decision support system supplier selection of food industry raw materials especially cake and bakery, by using new technology that is famous for its robustness that is Analytical Hierarchy Process (AHP). The importance of this research is to find a new varian of the AHP application, therefore increase scientific literature related the method especially for cake and bakery industrial. Furthemore, to provide a reference of selecting raw materials supplier methods in the industry. The model starts by identifying the main criteria (quality, price, delivery, and service) using the main criteria ranking based on the opinions of experts using AHP. The second stage is identifying the sub criteria (materials supplied halal and equipped with halal certificates, sample tests and physical observations, price of goods, maximum and continuous capacity and supply capacity, discount price levels and certain purchases, the existence of supplier offices and cooperation and reference commitments) and their ranking based on the main criteria. The results of this study indicate that the Analytical Hierarchy Process (AHP) method can produce a decision support system that the right results according to field data at Virgin Cake and Bakery. The results of this study indicate that overall the best supplier to be chosen by the company to be use as a long-term co-worker is supplier A because overall this supplier has the highest value compared to the other three suppliers.
Sistem Pendukung Keputusan Untuk Mengevaluasi Internal Program Studi Padiku, Indhitya Rahman; Widodo, Achmad
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 5, No 1 (2015): Volume 5 Nomor 1 Tahun 2015
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (641.36 KB) | DOI: 10.21456/vol5iss1pp40-46

Abstract

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.
Perbandingan Algoritma Enkripsi GGHN(8,8) dan RC4 Untuk Video Conference Satriyo, Satriyo; Sediyono, Eko; Fatchurrohim, Adian
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 1, No 1 (2011): Volume 1 Nomor 1 Tahun 2011
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21456/vol1iss1pp27-32

Abstract

Encryption is a solutions to secure the information transmitted through the medium of communication that can not be intercepted by unauthorized parties. This study implemented two algorithms i.e. RC4 and GGHN (8.8) in video conference. This study compared the speed  of  both  encryption  and  decryption  of  the  encryption  algorithm,  and  perform  measurements  of  bandwidth .  From  the  results  of measurements of the speed can be concluded that the RC4 algorithm is 1.53 times and 1.34 times faster than GGHN(8,8) for encryption and  decryption  audio  data.  The  encryption  and  decryption  video  data  RC4  are  1.44  times  and  1.09  times  faster  than  GHN(8,8). Bandwidth  usage  for  video  conferencing  without  encryption  and  bandwidth  usage  on  a  video  conference  with  RC4  encryption  and GGHN (8.8) is the same.Keywords: Video Conference; RC4; GGHN(8,8); Real Time Protocol.
Metode Simulated Annealing untuk Optimasi Penjadwalan Perkuliahan Perguruan Tinggi Sari, Wiktasari; Suseno, Jatmiko Endro
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 6, No 2 (2016): Volume 6 Nomor 2 Tahun 2016
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1360.482 KB) | DOI: 10.21456/vol6iss2pp133-143

Abstract

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.

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