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
412 Documents
<![CDATA[Implementasi WPA2 Enterprise dan LDAP Dalam Membangun Sistem Informasi Kehadiran Karyawan ]]>
<![CDATA[Prismana, IGL Putra Eka]]>;
<![CDATA[Permadi, Ginanjar Setyo]]>;
<![CDATA[Khamdani, Wahyu]]>
<![CDATA[ JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 10, No 2 (2020): Volume 10 Nomor 2 Tahun 2020 ]]>
Publisher : <![CDATA[Universitas Diponegoro ]]>
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DOI: 10.21456/vol10iss2pp195-202
<![CDATA[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.]]>
<![CDATA[Analisa Tingkat Usability Berdasarkan Human Computer Interaction Untuk Sistem Pemesanan Tiket Online Kereta Api ]]>
<![CDATA[Christanto, Henoch Juli]]>;
<![CDATA[Sediyono, Eko]]>
<![CDATA[ JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 10, No 2 (2020): Volume 10 Nomor 2 Tahun 2020 ]]>
Publisher : <![CDATA[Universitas Diponegoro ]]>
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DOI: 10.21456/vol10iss2pp163-172
<![CDATA[The Current technological developments make PT. KAI (Kereta Api Indonesia) as a business entity that regulates and provides rail transportation services has been transformed into providing online ticket reservation services, one of which is through the KAI Access application. But it needs to be realized that the marketplace trend has also penetrated travel deals that also provide train ticket reservations, one of which is Traveloka. This interesting phenomenon is the basis for conducting research to see whether the application owned by PT KAI has been able to compete with other applications that also provide online train ticket sales services. By being able to compete, PT KAI can show credibility in providing online ticket transactions. Both applications are tested using the Usability indicators from HCI: Learnability, Efficiency, Memorability, Errors, and Satisfaction. This study resulted in a comparison of the two applications by each HCI indicator. The discussion on each indicator it can be seen the classification of the level of usefulness from KAI Access and Traveloka]]>
<![CDATA[Sistem Informasi Evaluasi Perkuliahan dengan Sentimen Analisis Menggunakan Naïve Bayes dan Smoothing Laplace ]]>
<![CDATA[Ramadhani, Nilam]]>;
<![CDATA[Fajarianto, Novan]]>
<![CDATA[ JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 10, No 2 (2020): Volume 10 Nomor 2 Tahun 2020 ]]>
Publisher : <![CDATA[Universitas Diponegoro ]]>
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DOI: 10.21456/vol10iss2pp228-234
<![CDATA[A good lecture is certainly a goal so that students achieve maximum learning outcomes. In order for good lecture quality, lecture evaluation needs to be done,beside lecturer professional competency training. In order to improve the quality of lectures, Departement Informatics of Madura University (UNIRA) evaluates lecturers' performance in each semester. Form of evaluation is a questionnaire that filled out by students.Results of the questionnaire, then it is analyzed to find out whether the comments are positive, negative, or neutral. The method that can be used to solve the problem of sentiment classification analysis is Naïve Bayes that combined with text processing techniques.The data comments that collected are 342. After grouping the comments by subject, there were 31 comments for subject Human and Computer Interaction (HCI). In this data comments then performed data cleaning, data transformation, text processing and labeling. Then classifying comments using Naïve Bayes with Smoothing Laplace. Results of accuration obtained an accuracy to 80%. The results of implementation Naïve Bayes algorithm with Smoothing Laplace, it can be seen the sentiment analysis of the subjects that lectures taught.]]>
<![CDATA[Pemilihan Smartphone Berdasarkan Rekomendasi Profile User: Integrasi Fuzzy Analytical Hierarchy Process dan Rule Based ]]>
<![CDATA[Okfalisa Okfalisa]]>;
<![CDATA[Dwi Utari Iswavigra]]>;
<![CDATA[Hidayati Rusnedy]]>;
<![CDATA[Toto Saktioto]]>
<![CDATA[ JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 10, No 2 (2020): Volume 10 Nomor 2 Tahun 2020 ]]>
Publisher : <![CDATA[Universitas Diponegoro ]]>
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DOI: 10.21456/vol10iss2pp211-219
<![CDATA[The usability and usefulness of smartphones have been found to lack optimality. Moreover, the action of the customer appears to behave as a consumptive user instead of buying following the basic needs. In selecting the right smartphone, this study provides an alternative option for buyers. The Fuzzy Analytical Hierarchy Process (F-AHP) approach is applied by distinguishing between two distinct decision-making namely, Profile User as a user recommendation-based, and Smartphone-based selection. The suggested requirements are hobbies, areas of jobs, and the use of social network applications in determining the user profile. The weights of the criteria and alternatives for profile users are acquired through the dissemination of questionnaires to 117 respondents. In the meantime, parameters such as Random-Access Memory (RAM), Read-Only Memory (ROM), camera, processor, screen, and battery are added to the smartphone list of criteria upon on the interviews of 15 experts and practices in smartphone and Information Technology (IT). F-AHP rates each of the Smartphone and User Profiles as a first-round output. A rule-based expert system is employed to intertwine Smartphone and User Profiles decision-making viewpoints. The relationship between the Smartphone and the User Profile is therefore circumscribed as the final decision to applaud the acceptable Smartphone for those users of the profile. A prototype of the MatchSmartPhone application has been developed to computerize the F-AHP calculation. This application can be used to assist users according to the user's profile in delivering the best Smartphone device recommendations. Users would be wiser and smarter when shopping in advance.]]>
<![CDATA[Analisis Penentuan Penginapan dengan Metode AHP dan Promethee ]]>
<![CDATA[Muntiari, Novita Ranti]]>;
<![CDATA[Sunardi, Sunardi]]>;
<![CDATA[Fadlil, Abdul]]>
<![CDATA[ JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 10, No 2 (2020): Volume 10 Nomor 2 Tahun 2020 ]]>
Publisher : <![CDATA[Universitas Diponegoro ]]>
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DOI: 10.21456/vol10iss2pp173-179
<![CDATA[Traveling to a place with a period of days requires a place to stay. The problem is determining accommodation according to the wishes of different visitors, such as prices according to the type of lodging, complete facilities or not at the inn, and the distance to other places from the inn. There are too many lodging options that make it difficult for visitors to determine the best alternative. This research focuses on lodging in the Malioboro area of Yogyakarta by using the criteria of distance, price, class of accommodation, room facilities, and supporting facilities. AHP method is used to determine the weight of each criterion, then the weight of each criterion is calculated using Promethee with the usual or general criteria preference type, to produce a net flow value. Combination of two methods is better because the AHP method is more suitable to be used to find the weight of each criterion and Promethee by using a preference index as needed by producing suitable alternatives. The result of AHP and Promethee calculations obtained with the PP3 alternativewith a net flow value of 0.2 to be the first rank and it can be stated that the existing criteria are very suitable for what visitors want.]]>
<![CDATA[Sistem Peringatan Dini Rawan Bencana Longsor Di Kota Ambon menggunakan IoT ]]>
<![CDATA[Dasmasela, Chrisdano Ryan Chandra]]>;
<![CDATA[Sembiring, Irwan]]>;
<![CDATA[Purnomo, Hindriyanto Dwi]]>
<![CDATA[ JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 10, No 2 (2020): Volume 10 Nomor 2 Tahun 2020 ]]>
Publisher : <![CDATA[Universitas Diponegoro ]]>
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DOI: 10.21456/vol10iss2pp220-227
<![CDATA[Landslide disasters not only cause property losses but also have a multidimensional impact, for example people's psychology becomes disrupted, relocation of residential settlements and even disruption of investment as capital for economic development in Ambon City. This research aims to design a early warning system for landslide prone disastersin Ambon city and analysis using IoT.The results of the analysis use satellite landsat imagery as supporting spatial data with overlay indicators for landslide causes, including: rainfall, soil type, slope, population and land cover combined with placing IoT devices in landslide prone areas resulting in an early warning system for landslides. This IoT device uses a soil moisture sensor to read soil moisture and an MPU6050 accelerometer sensor to read soil movements. The results of the two sensors if they meet the criteria for landslide prone will be processed and sent as a notification to the smartphone. This research produces a landslide detection system starting from the analysis of landslide hazard maps to using sensors to detect landslide symptoms and then sending notification as a danger sign.]]>
<![CDATA[Penerapan Soft System Methodology dalam Ekstraksi Pengetahuan Tentang Akreditasi Universitas XYZ ]]>
<![CDATA[Karay, Jeni]]>;
<![CDATA[Manongga, Danny]]>;
<![CDATA[Purnomo, Hindriyanto Dwi]]>
<![CDATA[ JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 10, No 2 (2020): Volume 10 Nomor 2 Tahun 2020 ]]>
Publisher : <![CDATA[Universitas Diponegoro ]]>
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DOI: 10.21456/vol10iss2pp180-187
<![CDATA[As a university, accreditation is a benchmark and recognition of quality standards and definitions of an educational institution (higher education) by parties outside an independent institution. Accreditation is also interpreted as an effort by the government to standardize and guarantee the quality of higher education alumni in order to ensure that quality among universities is not too varied and according to work needs. Management of Higher Education needs to improve quality and be an input for stakeholders who continue to improve the university. Using Soft System Methodology, researchers map and conceptualize models and plans to help XYZ University develop its accreditation values. In this case the Faculty of Science and Technology at XYZ University. From this research it was found that the XYZ University's Faculty of Science and Technology can provide alternative funding and development from all parties and grants as well as cooperation in outside universities that will help this faculty to add facilities, improve the quality of supervisors by using technology at the University's Faculty of Science and Technology XYZ. Recommendations given by researchers are faculties can make a web-based DSS (Decision Support System) accessed by intranet to help download traces of faculty development and can be used as a basis for decision making.]]>
<![CDATA[Analisis Kepuasan Pengguna Sistem Informasi Administrasi Rumah Sakit (SIARS) dengan Model Delone and Mclean ]]>
<![CDATA[Putra, Dony Setiawan]]>;
<![CDATA[Darmawan, Mochammad Arief]]>
<![CDATA[ JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 11, No 1 (2021): Volume 11 Nomor 1 Tahun 2021 ]]>
Publisher : <![CDATA[Universitas Diponegoro ]]>
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DOI: 10.21456/vol11iss1pp78-85
<![CDATA[The Mother and Child Srikandi IBI Jember Hospital is one of the private hospitals in Jember district. Currently the Mother and Child Hospital uses the Hospital Administration Information System (HAIS) in providing services. There are several problems related to HAIS, including data that is not stored properly, the information generated by the hospital information system is still incomplete and users still have difficulty inputting data. The purpose of this study is to analyze system quality, information quality and service quality on user satisfaction. This type of research is quantitative, where there are 3 independent variables and 1 dependent variable. The results obtained are there is a moderate and unidirectional significant relationship of 0.519 between system quality and user satisfaction. There is a moderate and unidirectional significant relationship of 0.425 between information quality and user satisfaction. There is a strong and unidirectional significant relationship of 0.780 between service quality and user satisfaction. From these results it can be concluded that system quality, information quality and service quality have an influence on HAIS user satisfaction]]>
<![CDATA[Optimalisasi Parameter dengan Cross Validation dan Neural Back-propagation Pada Model Prediksi Pertumbuhan Industri Mikro dan Kecil ]]>
<![CDATA[Windarto, Agus Perdana]]>;
<![CDATA[Defit, Sarjon]]>;
<![CDATA[Wanto, Anjar]]>
<![CDATA[ JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 11, No 1 (2021): Volume 11 Nomor 1 Tahun 2021 ]]>
Publisher : <![CDATA[Universitas Diponegoro ]]>
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DOI: 10.21456/vol11iss1pp34-42
<![CDATA[It is important for us to predict what will happen in future and to reduce uncertainty. Various analyzes are therefore necessary in order to optimize or improve the prediction results by several methods. The objective of this research is to analyze predictive results by optimizing the training and testing by means of cross validating parameters on the growth of micro and small-scale production in Indonesia through the exactness of the return-propagative method. The method of reproduction is used. These results are compared with results of backpropagation during training and testing without optimisation of the same architectural model. The dataset is based on the growth in production in micro and small businesses by province from the Central Statistical Agency(BPS). There were 34 records in which data from 2015-2019 for growth of production were collected. The results with optimisation have surpassed without optimisation the back propagation model by looking at RMSE, in which the best RMSE in the 3-2-1 architectural model was obtained and the side type is mixed sampling. The obtained RMSE value is 0.1526, or a difference between the best background architectural model, 3-2-1 and 0.0034. (0.157). The results of this model were 94 percent.]]>
<![CDATA[Sistem Jaminan Mutu dan Prediksi pada Rantai Pasok Ikan dari Perikanan Sungai ]]>
<![CDATA[Ibrahim, Muhammad Rivani]]>;
<![CDATA[Mustafid, Mustafid]]>
<![CDATA[ JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 11, No 1 (2021): Volume 11 Nomor 1 Tahun 2021 ]]>
Publisher : <![CDATA[Universitas Diponegoro ]]>
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DOI: 10.21456/vol11iss1pp43-50
<![CDATA[The supply chain system with quality assurance and fish prediction has important role for producers and consumers regarding the need for fresh fish to be consumed in certain size.  The research aims to design quality assurance and predictive model for the fish supply chain system so that it is always available to consumers. The Fuzzy Tsukamoto method approach is used to design prediction model for required fish based on the fish provided by fishermen, and Fuzzy Mamdani approach is used to design model for quality assurance of fish needs that consumers need every week and month. This supply chain system is designed with upstream fishermen and fish sellers and as downstream fish retailers and fish consumers, while data analysis uses quantitative data sourced from fishermen and fish sellers and fish consumers. The prediction system and fish quality assurance provide output as a material for decision making in order to obtain information for agents and consumers that they can provide and supply fish as needed. A case study was conducted on the river fishery sector in Kota Bangun District.  ]]>
