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.
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<![CDATA[Penerapan Algoritma Campbell Dudek Smith (CDS) untuk Optimasi Waktu Produksi Pada Penjadwalan Produksi ]]>
<![CDATA[Mashuri, Chamdan]]>;
<![CDATA[Mujianto, Ahmad Heru]]>;
<![CDATA[Sucipto, Hadi]]>;
<![CDATA[Arsam, Rinaldo Yudianto]]>
<![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/vol10iss2pp131-136
<![CDATA[Research on optimizing production time using the dudek smith campbell algorithm (CDS) in scheduling the production process aims to makepan optimization for machine operations to produce 12 size griddle products, 14 griddle sizes, 16 griddle sizes, 18 griddle sizes and 20 griddle sizes to get the makepan values. optimal. The method applied by the Campbell Dudek and Smith (CDS) algorithm, CDS is a method used in flowshop scheduling developed from Johnson's rule which is able to minimize the makespan of 2 machines arranged in series. The CDS method is very suitable for production characters who apply machine sequences to the production process. CDS produces several iterations that have the value of makespan, from those iterations, the minimum value of makespan is to determine the order of products to be produced. This research resulted in an application that can schedule products to be produced by machines automatically. From the test results with a total production of 12 pieces on each product with 6 repetitions, the minimum value of makespan is 210.12 minutes with a sequence of product works 20 pans, 18 pans, 16 pans, 14 pans, and 12 pans. Accuracy of results Application testing shows 99.99% for the first time and 99.96% for the second time when compared to manual calculations]]>
<![CDATA[Faktor Adopsi E-Marketing dan Pengaruhnya Terhadap Kinerja Pemasaran UKM Kuliner Kota Bogor ]]>
<![CDATA[Priyanto, Hery]]>;
<![CDATA[Najib, Mukhamad]]>;
<![CDATA[Septiani, Stevia]]>
<![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/vol10iss2pp235-244
<![CDATA[The SMEs business is growing rapidly in Bogor City, especially culinary cluster SMEs. Tight competition in the industrial era 4.0 made the culinary cluster SMEs in Bogor City begin to implement a new marketing strategy via internet called e-marketing in order to achieve business growth. The purpose of this study are identify the type of e-marketing most commonly used by culinary cluster SMEs in Bogor City, analyze factors that influence e-marketing adoption by culinary cluster SMES in Bogor City, and analyze the effect of e-marketing adoption on marketing performance SMES of culinary cluster in Bogor City. The method used non-probability sampling with purposive sampling technique, the sample consist of 100 culinary cluster SMEs in Bogor City. The data obtained were processed using Structural Equation Modeling (SEM) with Partial Least Square u approach and using the Smart-PLS 3.0 program. The results of this study indicated social media marketing is the type of e-marketing that is most widely used by culinary cluster SMEs in Bogor City. Relative advantage, top management support, employee capability, competitive environment, and customer pressure were factors that positively and significantly influence the decision to adopt e-marketing of Bogor City culinary cluster SMEs. E-marketing adoption had positive and significant effect on marketing performance of culinary cluster SMEs in Bogor City.]]>
<![CDATA[Desain dan Implementasi Deteksi WebShell Malicious Web Shell (Backdoor Trap) ]]>
<![CDATA[Raditya Faisal Waliulu]]>;
<![CDATA[Santrinita Trhessya Jumame]]>
<![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/vol10iss2pp188-194
<![CDATA[We present a report on hacker attacks against production servers on increased PHP vulnerabilities through SQL Injection attacks, XSS (Cross Site-Scripting), Cookie hijack, miss configuration, social engineering, CSRF (cross site request forgery), OTP bypass (take over account) and others. Hacker attacks leave a backdoor or webshell that will be accessed remotely (remote), this is common in blackhat hackers. Provides a shelltrap framework to use for and perform and clean the backdoor on the server. Because the back door has characteristics, namely: (1) taking over the physical server or localrooting; (2) adaptation to the run time environment; (3) using global variables to access the server. Have evaluated shelltrap on realworld server tame PHP Script and PHP backdoor. The experimental results get high level detection results of 98 %.]]>
<![CDATA[Evaluasi Keberhasilan Sistem Informasi Akademik dengan Pendekatan Model DeLone dan McLean ]]>
<![CDATA[Meilani, Lala]]>;
<![CDATA[Suroso, Arif Imam]]>;
<![CDATA[Yuliati, Lilik Noor]]>
<![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/vol10iss2pp137-144
<![CDATA[Development of academic management needs will increasingly complex, therefore the development of academic information systems must be oriented to user satisfaction as a way to measure the success of the information system. This study aims to analyze the performance of the quality of academic information systems (SIAKAD) and analyze the factors that influence the use, user satisfaction and net benefits of SIAKAD at Sultan Ageng Tirtayasa University. The respondents used in this study consisted of three groups totaling 400 people. The model used in this research is the information system success model from DeLone and McLean. Descriptive analysis is used to explain respondents' perceptions and evaluations of the successful implementation of SIAKAD. SEM PLS analysis is used to analyze the factors that influence the successful implementation of SIAKAD at Sultan Ageng Tirtayasa University. SIAKAD users rated success at the semantic level and technical level included in the good category, while the success at the effectiveness level was still in the good enough category. Hypothesis testing results indicate that the quality of information system quality and service quality has a significant positive effect on the use and satisfaction of users, the use of a significant positive effect on user satisfaction, and the use and satisfaction of users has a positive and significant effect on the net benefits of SIAKAD.]]>
<![CDATA[Evaluasi Performa Support Vector Machine Classifier Terhadap Penyakit Mental ]]>
<![CDATA[Furqan, Mhd]]>;
<![CDATA[Kurniawan, Rakhmat]]>;
<![CDATA[HP, Kiki Iranda]]>
<![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/vol10iss2pp203-210
<![CDATA[Expression of genes found in the brains of autism, bipolar, and schizophrenia patients identified as overlapping. The overlap is a state in which the values of genes are similar. This paper aims to determine the best performance of support vector machines algorithm in classifying autism, bipolar, and schizophrenia based on the expression of genes using genome-wide association studies data. Using three support vector machine kernels, this study evaluates the performance of gaussian, laplacian, and sigmoid for genome-wide association studies datasets. The datasets were obtained from Psychiatric Genomics Consortium publications, where 660 data were taken with each disorder consisting of 220 data. This study proposes an optimal kernel for one-against-one and one-against-all multiclass support vector machine, and the performance is evaluated using accuracy. The study results show that the Gaussian kernel has the best accuracy performance compared to other support vector machines kernels in classifying genome-wide association studies data of autism, bipolar, and schizophrenia as early diagnosis.]]>
<![CDATA[Sistem Prediksi Curah Hujan Bulanan Menggunakan Jaringan Saraf Tiruan Backpropagation ]]>
<![CDATA[Sunardi Sunardi]]>;
<![CDATA[Anton Yudhana]]>;
<![CDATA[Ghufron Zaida Muflih]]>
<![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/vol10iss2pp155-162
<![CDATA[Rainfall has important role for human life. Rainfall information can be used in several fields including agriculture. As a benchmark for planting periods, water infiltration management, and irrigation. The resources for calculating rainfall are rainfall gauges, ground-based radars and remote sensing satellites. Wonosobo area’s rainfall type is monsoon, meaning that it has one wet period and one dry period. It has fluctuating varied rainfall every month and the availability of rainfall data is uncertain each year. As a mountainous area, Wonosobo’s agricultural sector is very dominant for their economic. Weather Observation, especially rainfall, is important because it can be used by related parties, especially in the agricultural sector. In addition, to provide rainfall data in areas with no observation stations. This study aims to design and implement a rainfall prediction system by developing the Waterfall Model Development Life Cycle (SDLC) Software and implementing backpropagation artificial neural networks (ANN). System development using the SDLC waterfall model was chosen because it is simple, easy to understand and implement. ANN backpropagation is applied in the prediction system because of its advantage that can be applied to a problem related to prediction. Testing on the system built for training and validation produces training accuracy of 93.92% with validation of 73.04%, indicating that the system can be used and has been running expectedly. The best ANN architecture was obtained on the test with input layer 3, hidden layer 12, and output 1 values, learning rate 0.5 momentum 0.9. From the SSE 0.1 target, the SSE is 0.302868.]]>
<![CDATA[Perencanaan Enterprise Architecture Pelayanan Informasi Meteorologi Klimatologi dan Geofisika ]]>
<![CDATA[Krismadinata, Krismadinata]]>;
<![CDATA[Minangsih, Maya]]>;
<![CDATA[Yahfizham, Yahfizham]]>;
<![CDATA[Verawardina, Unung]]>
<![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/vol10iss2pp145-154
<![CDATA[The importance of the research was carried out because of the increasing public demand for Information and Communication Technology (ICT) assisted information system services at the Meteorology, Climatology and Geophysics Agency (BMKG). The expansion aims to be done with the concept of Enterprise Architecture (EA) which includes the pattern of The Open Group Architecture Framework (TOGAF) which has provided Architecture Development Method (ADM). The method approach used is design research which includes service concepts, architectural design, and the feasibility blueprint for computer-aided information systems in the future. The instrument used was through observation sheets, interview guides and documentation to gather planning information, and using a product questionnaire involving 5 experts consisting of 3 ICT lecturers and 2 business managers, while the practicality test involved 5 respondents. The study took place in BMKG Padang Panjang, West Sumatra Province, from June to September 2019. The data analysis technique in this study used descriptive analysis techniques. This study has produced a design that meets the criteria set out by the standard validity and practicality tests. Based on the results of tests conducted by experts (validator), it was found that the information system service blueprint was feasible to be built with 92% and 82% acceptance of the very valid category in the very practical category. because it is proven valid and practical.]]>
<![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.]]>
