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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 305 Documents
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Implementasi forecastHybrid Package menggunakan R Studio Cloud untuk Prediksi Pertumbuhan Dana Pihak Ketiga dan Pembiayaan Pada Bank Muamalat Indonesia Niken Probondani Astuti; Rizal Bakri
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/vol11iss2pp97-104

Abstract

This study aims to find out how to forecast the growth performance of third party funds (TPF) and financing which is measured on a quarterly by applied the hybrid method with R Studio Cloud using ‘forecastHybrid’ package. This prediction is expected to provide information and data on the growth of third party fund and financing for Bank Muamalat which is experiencing problems of lack of capital and non-performing funds (NPF). Forecasting with Hybrid methods combines ARIMA auto forecasting methods, exponential smoothing forecasting methods, theta forecasting methods, neural network forecasting methods, seasonal and trend decomposition forecasting methods, and TBATS forecasting methods. The forecast results show that the Hybrid method is able to provide information as a decision-making material for Bank Muamalat
Evaluasi Usability Aplikasi EDMODO dengan SUS dan Thematic Analysis Mochammad Arief Hermawan Sutoyo; Puji Rahayu
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/vol11iss2pp146-151

Abstract

The Covid pandemic that occurred in 2020 prompted the Indonesian government to issue policies related to distance education (PJJ), to avoid the spread of disease. This sudden appeal caused tertiary institutions and students who were not ready to be ready and accustomed to the situation. To do PJJ at X University, which is located in Jambi province, use EDMODO as an application to do PJJ. The use of EDMODO as a PJJ media has been going on for almost 2 semesters, but the effectiveness of teaching via EDMODO has not been studied for its success, so an analysis is needed related to the application of EDMODO as a PJJ application. The author uses a system usability scale to analyze the educational usability level of this application. From the calculation results, the average value of SUS is 71,2. However, there is a possibility of decreasing educational usability in this application. So, it is recommended that this application be developed again.
Evaluasi Kebergunaan (Usability) dan Rekomendasi Penggunaan Google Classroom untuk Blended Learning di Perguruan Tinggi Agus Priyadi; Eko Sediyono; Hindriyanto Dwi Purnomo
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/vol11iss2pp105-116

Abstract

The google classroom application is a virtual classroom mixed with real classes in education where the distribution of material and lecture assignments can be done by teachers and students without using paper or paperless. Interaction between teachers and students is done interactively online. The use of the google classroom application as a teaching tool has only been implemented at XYZ college, so usability testing is needed in the use of google classroom. Testing the usability level of Google Classroom is really needed to evaluate and get recommendations about using the Google Classroom application. The method used in this study is the USE (Usefullness, Satisfaction and Ease of Use) Questionnaire and Cognitive Walkthrough (CW) used in the google classroom usability test. USE stands for Usefulness, Satisfaction, and Ease of Use. Ease of use factors can be divided into two, namely Ease of Learning and Ease of Use. The USE test involved all XYZ college students, totaling 213 respondents. Ten respondents within certain criteria were selected by purposive sampling technique to test the usefulness of using the cognitive walkthrough (CW) method. The overall assessment of the usefulness factor with a mean value of 3.95 is included in the "Good" rating range. Overall, the satisfaction factor value of 4.01 is included in the "Good" rating range. Overall, the assessment of the Ease of use indicator with a mean of 4.22 is included in the "Good" rating range. The cognitive walkthrough (CW) method produces several recommendations that can be utilized by XYZ universities in implementing blended learning using google classroom. The usability factor with various features offered by Google Classroom is quite high because it can provide convenience in its use to support lecture activities at XYZ College
Pengembangan Website Marketplace Binatang Peliharaan dengan Fitur Lelang Menggunakan Metode Rapid Application Development Raymond Sutjiadi; Titasari Rahmawati; Edbertinus Halim
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/vol11iss2pp152-160

Abstract

Through marketplace website, someone can open a business using relatively low capital without the need to open physical store. The benefit using marketplace website is wider market range so that able to get customers easily. On the other hand, pet lovers often feel difficulties to buy a pet. Moreover, rare pets are traded using higher bargaining price between sellers and buyers. This causes difficulties to find mutually beneficial price on both sides. In this research is developed marketplace website to sell pets, which is equipped with auction feature. Via this auction feature will facilitate sellers and buyers to find beneficial dealling price. This website is developed using Rapid Application Development method which prioritizes the speed of application development. The features of this marketplace website are depicted using Unified Modelling Language (UML). From the testing result, it can be seen that buying and selling features can simplify sellers to market their products. Auction feature also can run automatically on certain determined deadline to find best bidding price from buyer
Penentuan Penerimaan Karyawan Menggunakan Metode Simple Additive Weighting dan Weight Product Ermin Al Munawar; Sunardi Sunardi; Abdul Fadlil
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/vol11iss2pp117-124

Abstract

Recruitment errors influence in a decrease of quality, performance, and company revenue. One of the causes is the absence of a method that is applied as a systematically of information system in determining the acceptance of the best prospective employees. This study uses the Simple Additive Weighting (SAW) and Weight Product (WP) methods to build an objective, fast, and accurate of Decision Support System (DSS) in determining employee acceptance. This research case study was applied to the Indonesian Market Traders Cooperative (KOPPI) Sorong City, West Papua Province by involving a number of 10 alternative applicants. This study aims to produce an objective information system and provide convenience in determining the best employees, referring to the determination of 9 criteria obtained from interviews, namely education, work experience, motivation, intrapersonal ability, achievement orientation, sales ability, self-confidence, trustworthy, and work ethic by weighting each. SAW and WP methods are both used to determine the best ranking of all alternative applicants and get the best prospective employees. The information system was built using the Waterfall development method with the PHP programming language and Mysql database. Based on the results of research that has been carried out, it is found that the information system built has 100% conformity of functionality and compatibility between manual and application system. Both methods provide the same highest alternative to be used as the determination of the best employee acceptance, however it is found that the WP method provides better accuracy and validity than SAW.
Analisis Tingkat Kesiapan Pengguna Sistem Informasi Koreksi Essay Otomatis Berbasis Web Menggunakan Model Technology Readiness Index (TRI) Rifki Adhitama; Aditya Wijayanto; Dwi Mustika Kusumawardani
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/vol11iss2pp161-167

Abstract

During the pandemic, the learning model directly impacts both students and teachers, especially in evaluating and correcting assignments to measure student learning. Evaluation and correction of the learning process at both the high school and high school and university levels are generally carried out multiple-choice examinations during this pandemic. Many tools can be used to carry out multiple-choice assessments. The essay assessment is usually done manually and takes a long time because the lecturer has to make corrections one by one. On the other hand, information retrieval is a concept that can be used to build an automatic essay correction information system so that the correction of essay questions can be done quickly and efficiently, as in multiple-choice works. The automatic essay correction information system is a relatively new technology, especially for its plural use in this pandemic. A new technology that will be applied in a plural manner requires a measurement. One of the measurements that can be used is the Technology Readiness Index (TRI). TRI is used because it can measure the readiness and tendency of users to implement an information system. The case study in this research was conducted at the Faculty of Informatics (FIF) Telkom Institute of Technology Purwokerto (ITTP). The TRI measurement of the automatic essay correction information system carried out at FIF produces a TRI of 3.27. This value is between 2.90 and 3.51 (2.90 ≤ TRI ≤ 3.51). Consisted of an optimism value of 1.01, and innovativeness value of 0.52, a discomfort value of 0.55, and an insecurity value of 1.19.
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
Adaptasi Human Machine Interface (HMI) dalam Monitoring dan Kendali Kualitas Air pada Tambak Udang Maman Somantri; M Arfan; Oscar Solideo Siregar
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 12, No 2 (2022): Volume 12 Nomor 2 Tahun 2022
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21456/vol12iss2pp73-80

Abstract

A good and really important vaname cultivation is to maintain the quality of shrimp. Shrimp pond water quality includes several parameters including temperature, pH, salinity, oxygen content, and air altitude. The large number of actuators and sensors requires an interface that connects sensors and actuators with humans to facilitate the monitoring process and manual remote control. In this study, a web-based Human Machine Interface (HMI) was built to monitor and control air quality manually remotely. The HMI built in this research uses IoT (Internet of Things) technology so that the process of reading and sending data can be done anywhere, anytime, and through any online device. This website-based HMI was tested using the black box testing method, namely by looking at the experimental results based on the given scenario. The survey results were also given to 5 respondents, 2 of whom considered this website-based HMI to be very good and 3 others considered it normal. From this test, it can be said that the website-based HMI has been successfully implemented
Analisis Faktor yang Mempengaruhi Innovation Resistance dan Intention to Use Terhadap Penerapan Pembayaran Non Tunai Rifa Alfianu Softina; Faris Mushlihul Amin; Noor Wahyudi
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 12, No 1 (2022): Volume 12 Nomor 1 Tahun 2022
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21456/vol12iss1pp26-35

Abstract

Pertamina implements the MyPertamina cashless payment system to improve the quality of service to consumers in purchasing Pertamina products. Nevertheless, the MyPertamina application lacks users, as no research has discussed the reason for MyPertamina's low adoption rate; thus, it can be an exciting topic to investigate further. The objective of this research was to gain a better understanding of technological resistance by exploring the factors that contribute to resistance behaviour and intentions to adopt technology for MyPertamina services. The conceptual model was based on social influence, innovation resistance theory, and planned behaviour theory. Data was collected by distributing online questionnaires, and up to 350 data sets were processed using the structural equation model - partial least squares method. The results indicated that traditional and image barriers had a significant positive effect on innovation resistance, and social influence and self-efficacy significantly impacted the intention to use. In comparison, innovation resistance had a negative effect on the intention to use.
Kombinasi Analytical Hierarchy Process, C4.5, dan Particle Swarm Optimization pada Klasifikasi Pegawai Dafiz Adi Nugroho; Catur Edi Widodo; Rahmat Gernowo
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 12, No 2 (2022): Volume 12 Nomor 2 Tahun 2022
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21456/vol12iss2pp81-88

Abstract

Decision Tree C4.5 is widely implemented in various research fields in determining classification, but there are still weaknesses in Decision Tree C4.5, one of which is that it cannot rank each alternative. In this study, to overcome the weakness of Decision Tree C4.5, a combination of Analytical Hierarchy Process (AHP) methods, Decision Tree C4.5, and Particle Swarm Optimization (PSO) methods is proposed in the case study of employee classification for promotion recommendations. The research begins by determining the criteria and weighting criteria from the interview results which are then processed with AHP to produce employee ratings and eligibility labels for the classification process. The classification process uses the Decision Tree C4.5 method which is optimized with the PSO algorithm so as to produce employee eligibility data for promotions. The results of the combined research of AHP, Decision Tree C4.5, and PSO methods show that AHP can produce employee ratings based on performance and potential criteria, and Decision Tree C4.5 classification and optimization with PSO have better accuracy results, namely 95.80% compared to Decision Tree C4.5 method without PSO optimization is 93.40%. Based on the results of the ranking and classification of this research can be used as a basis for promotion of employees.

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