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[Analisis Aplikasi Mobile Transportasi Online Menggunakan User Experience Questionnaire pada Era Milenial dan Z ]]>
<![CDATA[Abdillah, Leon Andretti]]>
<![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/vol9iss2pp204-211
<![CDATA[Online transportation becomes so popular in the ride-sharing industry. Young millennial and z generation users utilize their smartphone not only for communications but also for ordering online transportation services like Gojek. This study examines the experience of millennial and z generation students in using the well-known Gojek online transportation mobile service. A number of 154 millennial computer science students as respondents are involved in this study. Their experience in using online mobile transportation services via smartphone was collected through an online questionnaire made using google forms and distributed via Facebook. The tool used in this study is Online User Experience Questionnaire (UEQ). The results showed that all UEQ categories scored in positive areas. The highest score is in the "Perspicuity" category, while the lowest score is in the "Novelty" category. The benchmark value of the Gojek application indicates that the Gojek application has a rating scale that is on the scale of "above average" and "good". Suggestions that can be taken from the results of research that the Gojek application in general has been very good in providing experience for its users, things that need to be improved is in terms of the renewal of the application.]]>
<![CDATA[Pemanfaatan Social Network Analysis Untuk Menganalisis Kolaborasi Komunikasi Pada Balai Perikanan Budidaya Laut Ambon ]]>
<![CDATA[Latupeirissa, Ariyanto]]>;
<![CDATA[Sediyono, Eko]]>;
<![CDATA[Iriani, Ade]]>
<![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/vol9iss2pp121-132
<![CDATA[Marine aquaculture center-Ambon (Balai Perikanan Budidaya Laut/BPBL-Ambon) is a technical implementing unit under supervision of Directorate General of Aquaculture, Ministry of Maritime Affairs and Fisheries, Republic of Indonesia. Based on report of government’s internal control system (Sistem Pengendalian Intern Pemerintah/SPIP) specifically at the third quarter, some crucial organizational disadvantages have been identified in BPBL-Ambon, particularly related to the communication and coordination between divisions and technical staffs. To deal with this problem, there is a need to analyze and map the roles of interactions between employees in social networks. This study aims to analyze the patterns of interaction between staffs in the social networks. In this work, social network analysis (SNA) was used, which is based on formal and informal interactions on BPBL-Ambon, enabling to identify the key actors potentially able to act as alternative actors for information access to facilitate communication. The collection of individual data, as well as formal and informal interactions, was carried out using questionnaire and interview, involving entire population (saturation sampling). The collected data were then filetered and tabulated symmetric matrix, as preliminary steps for analysis following exported. SNA approach focuses on determining degree centrality, closeness centrality, and betweenness centrality. As a result, our experimental data suggested that most divisions alreadyshowed an appreciable collaboration in terms of communication; however, the remaining divisions showed 0 value in terms of their relationship with other divisions. Based on these findings, we could solve the problem through acting the alternative actors having the highest indegree value apart from stakeholders from a division capable of acting as alternative sources of information. The involvement of alternative actors could be a meaningful attempt in order to solve communication and coordination problems present in BPBL-Ambon]]>
<![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[Implementasi Kansei Engineering pada Aplikasi E-learning Untuk Sekolah Menengah Kejuruan ]]>
<![CDATA[Megasyah, Yoga]]>
<![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/vol9iss2pp165-176
<![CDATA[E-learning is the basis and logical consequence of the development of information and communication technology. With E-learning, teaching and learning methods in schools that use technology through electronic media such as computers, laptops, netbooks, or smartphones with internet networks or others. This study uses Kansei Word to detect the feelings of users of E-learning applications. The Kansei Word list is used as many 15 words related to the appearance of the E-learning application. E-learning application specimens used 8 specimens. This study involved 80 participants consisting of 40 students from SMK PGRI 3 Cimahi, 40 students from SMK 4 Padalarang. The questionnaire results from participants were then processed using multivariate statistical analysis, namely Cronbach's Alpha, Coefficient Correlation Analysis (CCA), Principal Component Analysis (PCA), Factor Analysis (FA) and Partial Least Square (PLS) analysis. This study produced 3 recommendations for the design of E-learning application. This recommendation is the result of the Kansei Engineering process which comes from 3 groups of participant data, namely groups of data of all participants, participants of SMK PGRI 3 Cimahi students and participants of SMK 4 Padalarang students.]]>
<![CDATA[Penerapan K-Nearest Neighbour dalam Penerimaan Peserta Didik dengan Sistem Zonasi ]]>
<![CDATA[Kurniawan, Denni]]>;
<![CDATA[Saputra, Ade]]>
<![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/vol9iss2pp212-219
<![CDATA[Admission of new students is a routine activity at the beginning of each new meeting year in all formal educational institutions. At the moment the acceptance of new students uses the zoning system and has been regulated by Permendikbud No. 20 in 2019. This zoning system will accept students where their residence enters through the user area with the school environment. With this Permendikbud the government hopes that there will be an evenness in the quality of education in all schools, so that schools will no longer get the title of superior and non-superior schools. But in a system, the zoning improves anxieties in the school environment. This research supports to help the participating school students will be accepted in accordance with the provisions of the Ministry of Education and Culture. In overcoming problems that arise in the school environment there needs to be a system that can overcome that problem. In this study using the K-Nearest Neighbor (K-NN) method. Where the K-NN method will do the classification of new learners' residence with the school. In determining the classification using the K-NN method used for zoning and non-zoning areas, it is seen based on the closest K value. In finding the optimal value in this study using the Rapidminer application. The optimal high-level test results at K 5 where the value of this K is 83.36%]]>
<![CDATA[Ekstraksi Ciri Orde Pertama dan Metode Principal Component Analysis untuk Mengidentifikasi Jenis Telur Ayam Kampung dan Ayam Arab ]]>
<![CDATA[Nurhayati, Oky Dwi]]>;
<![CDATA[Eridani, Dania]]>;
<![CDATA[Ulinuha, Ajik]]>
<![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/vol9iss2pp133-140
<![CDATA[Chicken eggs become one of the animal proteins commonly used by people, especially in Indonesia. Eggs have high economic value and have diverse benefits and a high nutritional content. Visually to distinguish between domestic chicken eggs and arabic chicken eggs has many difficulties because physically the shape and color of eggs have similarities. This research was conducted to develop applications that were able to identify the types of domestic chicken eggs and Arab chicken eggs using the Principal Componenet Analysis (PCA) method and first order feature extraction. The application applies digital image processing stages, namely resizing image size, RGB color space conversion to HSV, contrast enhancement, image segmentation using the thresholding method, opening and region filling morphology operations, first order feature extraction and classification using the PCA method. The results of identification of types of native domestic chicken eggs and Arabic chicken eggs using the Principal Component Analysis method showed the results of 95% system accuracy percentage, consisting of 90% accuracy of success in the type of domestic chicken eggs and 100% accuracy of success in the type of Arabic chicken eggs.]]>
<![CDATA[Penentuan Lokasi Tempat Pembuangan Sementara Sampah Menggunakan Metode Brown Gibson Berbasis Sistem Informasi Geografis ]]>
<![CDATA[Sihotang, Dony Martinus]]>;
<![CDATA[Tarus, Karen N.V]]>;
<![CDATA[Widiastuti, Tiwuk]]>
<![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/vol9iss2pp177-184
<![CDATA[The problem of waste has not been handled well, especially in cities, including the city of Kupang. Placing the right location of the trash can be one of solutions to the waste problem.  The purpose of this study is to combine decision support systems and geographic information systems to determine the location of TPS locations. There are two stages of analysis, the Brown Gibson method to determine which alternative is best for construction temporary landfill and the second analysis using the GIS approach to determine suitable point. The alternative is Neigborhoods (RT) in the Nefonaek, Kupang. The results showed that in the RT22, RT17, and RT18 which is outside the buffer area were selected as the best candidates for the new location of TPS. The system is tested in two ways, testing the blackbox using questionnaire on two respondents, and the accuracy that compares the results of the system and the results of expert. From the results of the blackbox testing, the percentage values for each GUI, Function, and information obtained were 94%, 92.5%, and 97.5%. And from Accuracy testing, obtained the value of accuracy on the first staff is 86.67% and for the second staff the accuracy value is 80%. From the two staffs obtained an average accuracy of 83.34%.]]>
<![CDATA[Pengembangan Sistem Informasi Pada Local E-Govervenance Untuk Peningkatan Kinerja Pelayanan Warga ]]>
<![CDATA[Yutanto, Hariadi]]>;
<![CDATA[Ilham, Romi]]>;
<![CDATA[Salma, Kautsar Riza]]>;
<![CDATA[Effendi, Yusuf]]>
<![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/vol9iss2pp220-227
<![CDATA[The problems that often arise in the neighborhood of Neighborhood Unit (RT) and Rukun Warga (RW) are the distribution of information on citizen activities, administration, transparent financial management, and management of citizen databases as an effort to improve services and information facilities for residents. The purpose of this study is to support the government in implementing e-Government-based government systems, by developing Good Local Governance. The specific target of innovation to be achieved is the development of innovation in the form of a web-based Citizen Information System (SiWarga) application at the RT / RW level. The method used in this study uses the System Development Life Cycle (SDLC Waterfall) method, starting from the first is analyzing the needs by conducting a survey and the feasibility of developing the system, second is to make a detailed list according to system requirements specifications, third is to design the system by creating workflow designs and programming design, the fourth is the development of information systems with coding, the fifth is system testing, the sixth is the implementation and maintenance of the system]]>
<![CDATA[Deteksi Objek Terapung pada Sungai Martapura dengan Metode Haar Like Feature Menggunakan Kamera Smart Phone ]]>
<![CDATA[Saubari, Nahdi]]>;
<![CDATA[Ansari, Rudy]]>;
<![CDATA[Gazali, Mukhaimy]]>
<![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/vol9iss2pp141-148
<![CDATA[Martapura river is the center of Banjarmasin’s local life, especially for water transportation and its famous floating market tourism spot. Due to various floating objects in Martapura river, a method to detect those objects is needed to control the condition of the river. In general, there are several methods to detect objects such as Gaussian, Support Vector Machine (SVM), Independent Component Analysis (ICA) and the newest method called Haar Like Feature (HLF). Those first three methods often used to detect moving object, while HLF mostly used to detect human’s face. This research aimed to examine the use of HLF method to detect floating objects in Martapura river by using smartphone’s camera with the specification of 16Megapixel and 1080p resolution. The data collected with random sampling technique in two different spots in Banjarmasin at different times. Images and videos then examined using HLF method. The result shows that HLF method by using smartphone camera cannot be used to identify any floating objec]]>
<![CDATA[Sistem Peramalan Kebutuhan Hidup Layak Minimum (Kapita/Bulan) Kota Bandung ]]>
<![CDATA[Fahrudin, Rifqi]]>;
<![CDATA[Sumitra, Irfan Dwiguna]]>
<![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/vol9iss2pp192-203
<![CDATA[The importance of inflation forecasting is used as a reference for estimating the Need for Living (KHL). If inflation can be predicted with high accuracy, it can certainly be used as the basis for government policy making in anticipating future economic activity. This study aims to produce a model of inflation data forecasting system, the forecasting results can be used as a reference for determining the Decent Living Needs (KHL) of a single worker in one month. The data used in forecasting is inflation data for January 2011 - December 2017 while the KHL data for the food and beverage category is obtained from the food price portal. The method used in this study is the SARIMA-SES hybrid method. In forecasting the inflation rate where the data is in the form of time series, the SARIMA-SES hybrid method can show more accurate forecasting results than using a single method. Based on the comparison of the overall forecasting model and by combining the SARIMA (1,0,1) (1,0,1) 12 and SES models with alpha 0,6 the smallest error value with MAD value 0,114, MSE 0,017 and 0,39% for MAPE. From these results, it was gathered that inflation forecasting in Bandung City using the SARIMA-SES hybrid method has a high accuracy value so that the results of the KHL value calculation with the forecasting inflation value approach the actual value. From these values can be used as a reference for the decision making of a single worker in fulfilling their life needs one month.]]>
