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
305 Documents
<![CDATA[Pengukuran Keberhasilan E-Learning dengan Mengadopsi Model Delone & Mclean ]]>
<![CDATA[., Deny]]>;
<![CDATA[Andry, Johanes Fernandes]]>
<![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/vol8iss1pp68-75
<![CDATA[Investment resources, time and cost in the implementation of information systems are not small, making measuring the success of information systems becomes very important to do. Meanwhile, the university as an educational institution today has been rampant to implement e-learning as an information system that provides added value for students. A University in North Jakarta has implemented e-learning integrated with information portal of students and lecturers since 2009. But until now has not been measured the success of the information system. So this research is done with one of the goals to measure the success of e-learning adopted by the University. In addition, this research would like to test the success model of DeLone and McLean's updated information system (2003) in the case of e-learning. The analysis was performed using SEM with the help of Lisrel 8.7 which tested 7 hypotheses. From this research found that DeLone and McLean model can not be used to explain the cause of success of e-learning system that its use is required, but need further research to get better level of generalization.]]>
<![CDATA[REPLACEMENT SPARE PART INVENTORY MONITORING USING ADAPTIVE NEURO FUZZY INFERENCE SYSTEM ]]>
<![CDATA[Hartono, Hartono]]>
<![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/vol3iss2pp95-103
<![CDATA[Abstract  The amount of inventory is determined on the basis of the demand. So that users can know the demand forecasts need to be done on the request. This study uses the data to implement a replacement parts on the electronic module production equipment in the telecommunications transmission systems, switching, access and power, ie by replacing the electronic module in the system is trouble or damaged parts of a good electronic module spare parts inventory, while the faulty electronic modules shipped to the Repair Center for repaired again, so that the results of these improvements can replenish spare part inventory. Parameters speed on improvement process of electronic module broken (repaired), in the form of an average repair time at the repair centers, in order to get back into the electronic module that is ready for used as spare parts in compliance with the safe supply inventory warehouse. This research using the method of Adaptive Neuro Fuzzy Inference System (ANFIS) in developing a decision support system for inventory control of spare parts available in Warehouse Inventory taking into account several parameters supporters, namely demand, improvement and fulfillment of spare parts and repair time. This study uses a recycling input parameter repair faulty electronic module of the customer to immediately replace the module in inventory warehouse, do improvements in the Repair Center. So the acceleration restoration factor is very influential as the input spare parts inventory supply in the warehouse and using the Adaptive Neuro-Fuzzy Inference System (ANFIS) method.  Keywords: ANFIS, inventory control, replacement]]>
<![CDATA[Sistem Informasi Stok Gudang Koperasi Menggunakan Supply Chain Management ]]>
<![CDATA[Khusna, Arfiani Nur]]>;
<![CDATA[Nugraha, Fahmi Ardhi]]>
<![CDATA[ JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 8, No 2 (2018): Volume 8 Nomor 2 Tahun 2018 ]]>
Publisher : <![CDATA[Universitas Diponegoro ]]>
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DOI: 10.21456/vol8iss2pp203-210
<![CDATA[The cooperative is faced with the problem of how to keep the availability of goods in the warehouse sufficient, not experiencing upperstock or understock in the stock inventory system. The Supply Chain Management approach can help overcome the problem of availability of goods by integrating suppliers efficiently. The study aims to produce information about the stock of goods and the number of orders for the next period so that it can make a suitable budget plan. Collecting data is the first step and then designing the pattern of supply chain management flow, supply chain management strategies include the use of pareto ABC classification to give priority to supervision of inventory and determination of purchase points by calculating Economy Order Quantity (EOQ), process flow, implementation and testing. The system produces goods stock information that is able to provide accurate information about the remaining stock of goods in the warehouse along with calculation calculations for the purchase of each item at an economical price and amount, for the determination of product reorder time (Reorder Point), the average product lead time is 2 days, the usage rate per day for rice is 0.34 and the safety stock of rice is 20 sacks so that if the rice has reached the 3 point sack then the cooperative must re-order. The test results using usability test showed that 66.66% of the questions were able to be answered by the respondents and the test results between 65-84% were declared good so that the application was feasible and usable.]]>
<![CDATA[Item Response Theory Model Empat Parameter Logistik Pada Computerized Adaptive Test ]]>
<![CDATA[Fatkhudin, Aslam]]>;
<![CDATA[Surarso, Bayu]]>;
<![CDATA[Subagio, Agus]]>
<![CDATA[ JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 4, No 2 (2014): Volume 4 Nomor 2 Tahun 2014 ]]>
Publisher : <![CDATA[Universitas Diponegoro ]]>
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DOI: 10.21456/vol4iss2pp121-129
<![CDATA[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. Â Keywords: Ability; CAT; IRT; 3PL; 4PL; Probability; Test]]>
<![CDATA[Aplikasi Auto Sales Forecasting Berbasis Computational Intelligence Website untuk Mengoptimalisasi Manajemen Strategi Pemasaran Produk ]]>
<![CDATA[Bakri, Rizal]]>;
<![CDATA[Data, Umar]]>;
<![CDATA[Astuti, Niken Probondani]]>
<![CDATA[ JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 9, No 2 (2019): Volume 9 Nomor 2 Tahun 2019 ]]>
Publisher : <![CDATA[Universitas Diponegoro ]]>
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DOI: 10.21456/vol9iss2pp244-251
<![CDATA[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 0.829Â Â ]]>
<![CDATA[Penerapan Algoritma Minimax Pada Game Macan-macanan ]]>
<![CDATA[Santoso, Kartika Imam]]>;
<![CDATA[Yunita, Farida]]>;
<![CDATA[Kusumo, Nafi Projo]]>
<![CDATA[ JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 6, No 1 (2016): Volume 6 Nomor 1 Tahun 2016 ]]>
Publisher : <![CDATA[Universitas Diponegoro ]]>
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DOI: 10.21456/vol6iss1pp21-29
<![CDATA[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.]]>
<![CDATA[Sistem Identifikasi Biometrika Wajah Menggunakan Metode Gabor KPCA dan Mahalanobis Distance ]]>
<![CDATA[Kurniawan, Dwi Ely]]>;
<![CDATA[Adi, Kusworo]]>;
<![CDATA[Rohim, Adian Fatchur]]>
<![CDATA[ JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 2, No 1 (2012): Volume 2 Nomor 1 Tahun 2012 ]]>
Publisher : <![CDATA[Universitas Diponegoro ]]>
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DOI: 10.21456/vol2iss1pp006-010
<![CDATA[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]]>
<![CDATA[Geolocation dengan Metode Djikstra untuk Menentukan Jalur Terpendek Lokasi Peribadatan ]]>
<![CDATA[Azizah, noor]]>;
<![CDATA[Mahendra, Danang]]>
<![CDATA[ JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 7, No 2 (2017): Volume 7 Nomor 2 Tahun 2017 ]]>
Publisher : <![CDATA[Universitas Diponegoro ]]>
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DOI: 10.21456/vol7iss2pp96-103
<![CDATA[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.]]>
<![CDATA[Pengukuran Penerimaan Sistem Informasi EWSKIA Berdasarkan Persepsi Pengguna dengan Menggunakan Technology Acceptance Model ]]>
<![CDATA[Widodo, Aris Puji]]>;
<![CDATA[Agushybana, Farid]]>;
<![CDATA[Jati, Sutopo Patria]]>
<![CDATA[ JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 8, No 2 (2018): Volume 8 Nomor 2 Tahun 2018 ]]>
Publisher : <![CDATA[Universitas Diponegoro ]]>
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DOI: 10.21456/vol8iss2pp166-173
<![CDATA[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]]>
<![CDATA[Sistem Pendukung Keputusan Penilaian Proposal Kegiatan PNPM MPd Menggunakan Metode Profile Matching dan Analytic Hierarchy Process (AHP) ]]>
<![CDATA[Mufid, Ahmad]]>
<![CDATA[ JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 4, No 1 (2014): Volume 4 Nomor 1 Tahun 2014 ]]>
Publisher : <![CDATA[Universitas Diponegoro ]]>
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DOI: 10.21456/vol4iss1pp40-47
<![CDATA[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)]]>
