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Journal : JURNAL SISTEM INFORMASI BISNIS

Sistem Evaluasi Bahan Pembelajaran Menggunakan Metode DEMATEL dan ANP Permadi, Ginanjar Setyo; Vitadiar, Tanhella Zein; Kistofer, Terdy
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 (144.465 KB) | DOI: 10.21456/vol9iss2pp228-235

Abstract

Evaluation of learning that will be given or is being given to diagnose success and failure in understanding teaching material. The failure to provide learning can be caused by the use of teaching methods or inappropriate media, and the delivery language that is difficult to understand. By applying information technology in evaluating learning materials, an evaluation system can be developed to assess and improve the quality of learning materials with certain criteria. So the problem of failure in the learning process can be known based on the learning material used. This study uses the DEMATEL and ANP methods as a basis for decision making by evaluating lecturer learning materials with a sample of 12 teachers. The DEMATEL method helps process data which is then forwarded by the ANP method in identifying interdependent relationships between criteria. With the use of the DEMATEL and ANP methods, it is expected to be able to assist in evaluating learning materials with the aim of always trying to provide good learning material based on factors or criteria that should be. The results of the study obtained a pair-level matrix Consistency Ratio (CR) value of 0.0661. Furthermore, calculating alternative ranking weights can be seen in Table 5. Furthermore, the results of the evaluation are used as further improvement efforts and to find out where there are unsuccessful outcomes in learning. Thus can be continuous between the objectives and the final results of teaching
Implementasi WPA2 Enterprise dan LDAP Dalam Membangun Sistem Informasi Kehadiran Karyawan Prismana, IGL Putra Eka; Permadi, Ginanjar Setyo; Khamdani, Wahyu
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 10, No 2 (2020): Volume 10 Nomor 2 Tahun 2020
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21456/vol10iss2pp195-202

Abstract

Technological developments have a positive effect on agencies and companies, one of which is the innovation of employee attendance registration using the internet network media. Employee attendance system model using internet network will certainly make it easier to control employee attendance. The internet network is an important part of every agency in helping its performance and can also be used as an attendance system. WPA2 Enterprise implementation is used as authentication using the provided email and password. Devices that have been connected to the network will automatically be recorded in the employee attendance system. The implementation of WPA2 Enterprise requires freeradius assistance in processing authentication data from employees which will then be verified again through LDAP, in this case UNESA uses Google LDAP. The attendance system by implementing WPA2 Enterprise has been tested by implementing the Technology Acceptance Model (TAM) method resulting in 43% answering strongly agree and 56% answering agreeing. The analysis is based on 78 employees who gave their assessments. Based on the results of the acceptance analysis of the system, it is stated that it can be applied at UNESA.
Analisa Implementasi Metode Fuzzy Time Series Jasim pada Prediksi Perkembangan COVID-19 di Indonesia Dedy Rahman Prehanto; Ginanjar Setyo Permadi; Melvin Nurdiansari
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 11, No 2 (2021): Volume 11 Nomor 2 Tahun 2021
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21456/vol11iss2pp125-130

Abstract

The pandemic of COVID-19 that has been going on since March 2020 until now has weakened many sectors in many countries an Indonesia as well. In Indonesia, more than 9,000 people have died because of this pandemic. In the first week, 56 cases of COVID-19 were recorded and the cases continued to increase to more than 2,000 cases per week so that the increasing number of cases could result in a lack of service provision and facilities for medical. This study aims to determine the forecasting scheme and how the development of COVID-19 cases that occur in Indonesia. Fuzzy Time Series Jasim method that is applied to find out how to do forecasts by managing previous data.  This method uses the determination of the width of the interval, the formation of a set from historical data and using of the average based length method. In this method also used grouping and data relations that have been fuzzified. From the method that has been used, it can be seen that the results obtained from the Fuzzy Time Series Jasim method are obtained from the accuracy rate of the accuracy error using MAD of 286. And the error magnitude of the forecasting results with the actual data using MAPE is 2.43%. Where it can be concluded that the use of Fuzzy Time Series Jasim method in this study provides good forecasting results