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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 229 Documents
ITEM RESPONSE THEORY MODEL EMPAT PARAMETER LOGISTIK PADA COMPUTERIZED ADAPTIVE TEST Fatkhudin, Aslam; Surarso, Bayu; Subagio, Agus
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 4, No 2 (2014): Volume 4 Nomor 2 Tahun 2014
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1026.605 KB) | DOI: 10.21456/vol4iss2pp121-129

Abstract

One of the computer-based testing is the Computerized Adaptive Test (CAT), which is a computer-based testing system where the items were given to the participants adapted to test the ability of the participants. Assessment methods are usually applied in CAT is Item Response Theory (IRT). IRT models are most commonly used today is the model 3 Parameter Logistic (3PL), which is about the discrimination, difficulty and guessing. However 3PL IRT models have not provided information more objectively test the ability of participants. The opinion of the test participants were tested items were also to be considered. In this study using CAT in combination with IRT model of 4PL. In this research, the development of CAT which uses about 4 parameters, namely the discrimination, difficulty, guessing and questionnaires. The questions used were about UAS 1 English subjects. Samples were taken from 30 students answer with the best value of the total 172 students spread across 6 classes to measure the parameter estimation problem. Further testing using CAT application 4PL IRT models compared to CAT 3PL IRT models. From research done shows that the CAT application combined with IRT models 4PL can measure the ability of the test taker shorter or faster and also opportunities participants correctly answered the test items was done tend to be better than the 3PL IRT models.   Keywords: Ability; CAT; IRT; 3PL; 4PL; Probability; Test
APLIKASI AUTO SALES FORECASTING BERBASIS COMPUTATIONAL INTELLIGENCE WEBSITE UNTUK MENGOPTIMALISASI MANAJEMEN STRATEGI PEMASARAN PRODUK Bakri, Rizal; Data, Umar; Astuti, Niken Probondani
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 (1954.6 KB) | DOI: 10.21456/vol9iss2pp244-251

Abstract

Business analytics plays an important role in optimizing the management of product marketing strategies. One of the most popular analytical tools in business analytics is sales forecasting. Businesses need to conduct sales forecasting to optimize marketing management in the form of product availability predictions, predictions of capital adequacy, consumer interest, and product price governance. However, the problem that is often encountered in forecasting is the number of forecasting methods available so that it makes it difficult for business people to choose the best forecasting method. The aims of this research is to develop a forecasting software tha can be accessed online based on computational intelligence, which is a software that can make forececasting with various methods and then intelligently choose the best forecasting method. The software development method used in this study is the SDLC with waterfall model. The result of this research is the Auto sales forecasting software was developed using the R programming language by combining various package and can be accessed online through the page Http://bakrizal.com/AutoSalesForecasting. This software can be used to conduct forecast analysis with various methods such as Simple Moving Average, Robust Exponential Smoothing, Auto ARIMA, Artificial Neural Network, Holt-Winters, and Hybrid Forecast. This software contains intelligence computing to choose the best forecasting method based on the smallest RMSE value. After testing the sales transaction data at the Futry Bakery & Cake Shop in Makassar, the results show that the Robust Exponantial Smoothing method is the best forecasting method with an RMSE value of 0.829  
PENERAPAN ALGORITMA MINIMAX PADA GAME MACAN-MACANAN Santoso, Kartika Imam; Yunita, Farida; Kusumo, Nafi Projo
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 6, No 1 (2016): Volume 6 Nomor 1 Tahun 2016
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (752.357 KB) | DOI: 10.21456/vol6iss1pp21-29

Abstract

Lots of traditional games, but now the game is becoming obsolete. Many games were replaced with the modern game technology products. Modern games are becoming more practical because it did not require the terrain and many friends. Quite alone in front of the screen was a person may engage in an exciting game. One of the efforts to preserve and disseminate traditional games one of which is macan-macanan is to adapt the game into a computer game. This study aims to apply artificial intelligence using minimax algorithms and programming language ActionScript 3 in the game with a macan-macanan research methods are prototyping. The design used in this study is an artificial intelligence approach for representing the state, science, human computer interaction for designing the user experience, as well as the UML for object-based design. Results from this study is that in order to determine the value of the evaluation algorithm minimax for the end node / terminal state in the game macan-macanan, required the calculation of the total step is valid for each piece, as well as to pawn macan, necessary calculations springboard to a higher value and the weight difference the appropriate type of pawns.
SISTEM IDENTIFIKASI BIOMETRIKA WAJAH MENGGUNAKAN METODE GABOR KPCA DAN MAHALANOBIS DISTANCE Kurniawan, Dwi Ely; Adi, Kusworo; Rohim, Adian Fatchur
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 2, No 1 (2012): Volume 2 Nomor 1 Tahun 2012
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (516.973 KB) | DOI: 10.21456/vol2iss1pp006-010

Abstract

Sistem  biometrika  pengenalan  wajah  merupakan  pengembangan  metode  dasar  sistem  autentifikasi  dengan  menggunakan  karakteristik alami  wajah  sebagai  basisnya.  Pendekatan  sistem  identifikasi  merupakan  pengenalan  wajah  seseorang  dengan  mencari  keseluruhan template dalam database untuk pencocokan karakteristik satu ke banyak (1:M). Sistem biometrika pada penelitian ini dibagi menjadi dua tahap  pemasukan  data  (enrollment)  dan  pencocokan  ciri  (matching).  Sistem  mengakuisisi  wajah  dengan  beberapa  posisi  sudut, pencahyaan dan ekspresi yang berbeda-beda. Citra wajah hasil dari akuisisi, diekstraksi menggunakan metode Gabor KPCA  (8x5 filter) untuk  didaftarkan  ke  dalam  database  sebagai  tahap  enrollment  citra  wajah  dan  tahap  selanjutnya  pencocokan  ciri  (matching)  denganmelakukan  pengukuran  jarak  antara  citra  uji  dengan  citra  database  wajah  menggunakan  Mahalanobis  Distance.  Penelitian  ini menggunakan  database  citra  wajah  AT&T  Face  dengan  sampel  40  orang  dan  10  posisi  wajah.  Hasil  penelitian  menunjukkan  bahwa sistem biometrika yang dikembangkan dapat mengenali wajah dengan tingkat akurasi mencapai 97.5%.Keywords : Identifikasi, Filter Gabor, KPCA, Mahalanobis Distance
GEOLOCATION DENGAN METODE DJIKSTRA UNTUK MENENTUKAN JALUR TERPENDEK LOKASI PERIBADATAN Azizah, noor; Mahendra, Danang
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 7, No 2 (2017): Volume 7 Nomor 2 Tahun 2017
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (56.832 KB) | DOI: 10.21456/vol7iss2pp96-103

Abstract

Traveling from one place to another takes time and cost. Especially for tourists who get difficulties to find worship locations because of a vast area with the numbers of worship location. This study aims to design application based android to determine the location of worship with the shortest path. A method used to develop the application is Waterfall method that includes the beginning of the analysis phase up to the application maintenance stage. Result from this research is Djikstra method can searching the location with the shortest path. Geolocation technology is used to identify a real-world geographical location that can be applied to the android operating system. As a case study, this research has been successfully applied to searching the location of worship in Kudus District include mosques, christian churches, catholic churches, and monasteries.
PENGUKURAN PENERIMAAN SISTEM INFORMASI EWSKIA BERDASARKAN PERSEPSI PENGGUNA DENGAN MENGGUNAKAN TECHNOLOGY ACCEPTANCE MODEL Widodo, Aris Puji; Agushybana, Farid; Jati, Sutopo Patria
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 8, No 2 (2018): Volume 8 Nomor 2 Tahun 2018
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (426.184 KB) | DOI: 10.21456/vol8iss2pp166-173

Abstract

This study is a quantitative research that has a goal to measure the level of user acceptance of EWSKIA information system based on perception. EWSKIA is a healthcare application tool used to perform the process of recording and monitoring the health conditions of pregnant and childbirth mothers. The model used in this research is using Technology Acceptance Model (TAM) model with 3 variables, namely Perceived Ease of Use (PEOU), Perceived Usefulness (PU), and Behavioral Intention to Use (BITU). This variable consists of independent variables namely PEOU and PU, and the dependent variable is BITU. The respondents were 145 midwives from Grobogan District, Temanggung Regency and Salatiga City. Data analysis to conduct causal relationships between variables using Partial Least Square (PLS). The results of this study statistically show that the 3 hypotheses of H1, H2, and H3 adopted from the TAM model have a positive and significant influence. This is indicated by the value of the regression coefficient is positive and the coefficient of P value is less than 0.005
SISTEM PENDUKUNG KEPUTUSAN PENILAIAN PROPOSAL KEGIATAN PNPM MPD MENGGUNAKAN METODE PROFILE MATCHING DAN ANALYTIC HIERARCHY PROCESS (AHP) Mufid, Ahmad
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 4, No 1 (2014): Volume 4 Nomor 1 Tahun 2014
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (2024.627 KB) | DOI: 10.21456/vol4iss1pp40-47

Abstract

Assessment of PNPM-MPd?s proposal not run quickly and objectively. The purpose of this research is to create software to help the verification team in conducting an objective assessment of the proposals using the profile matching method and the analytic hierarchy process (AHP). Profile matching method is used to provide an assessment, determination of the gap, and the weighting criteria. While the AHP method is used to calculate the pairwise comparison matrices, eigenvalues??, priorities, maximum eigenvalues??, consistency index (CI) and consistency ratio (CR). CR values ??are used to determine the order in which proposals will be funded by BLM. The final result of this research is decision support system software for assessment of PNPM-MPd?s proposal that can determine the rank of the highest value to lowest. Keywords : Assessment; Profile matching; Analytic Hierarchy Process (AHP)
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

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