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INDONESIA
JURNAL SISTEM INFORMASI BISNIS
Published by Universitas Diponegoro
ISSN : 20883587     EISSN : 25022377     DOI : -
Core Subject : Economy, Science,
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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Articles 15 Documents
Search results for , issue "Vol 9, No 2 (2019): Volume 9 Nomor 2 Tahun 2019" : 15 Documents clear
APLIKASI AUTO SALES FORECASTING BERBASIS COMPUTATIONAL INTELLIGENCE WEBSITE UNTUK MENGOPTIMALISASI MANAJEMEN STRATEGI PEMASARAN PRODUK Bakri, Rizal; Data, Umar; Astuti, Niken Probondani
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 (1954.6 KB) | DOI: 10.21456/vol9iss2pp244-251

Abstract

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 0.829  
IMPLEMENTASI KANSEI ENGINEERING PADA APLIKASI E-LEARNING UNTUK SEKOLAH MENENGAH KEJURUAN Megasyah, Yoga
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 (415.785 KB) | DOI: 10.21456/vol9iss2pp165-176

Abstract

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.
SISTEM PERAMALAN KEBUTUHAN HIDUP LAYAK MINIMUM (KAPITA/BULAN) KOTA BANDUNG Fahrudin, Rifqi; Sumitra, Irfan Dwiguna
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 (415.785 KB) | DOI: 10.21456/vol9iss2pp192-203

Abstract

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.
DETEKSI OBJEK TERAPUNG PADA SUNGAI MARTAPURA DENGAN METODE HAAR LIKE FEATURE MENGGUNAKAN KAMERA SMART PHONE Saubari, Nahdi; Ansari, Rudy; Gazali, Mukhaimy
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 (539.415 KB) | DOI: 10.21456/vol9iss2pp141-148

Abstract

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
PENGEMBANGAN SISTEM INFORMASI PADA LOCAL E-GOVERVENANCE UNTUK PENINGKATAN KINERJA PELAYANAN WARGA Yutanto, Hariadi; Ilham, Romi; Salma, Kautsar Riza; Effendi, Yusuf
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 (567.751 KB) | DOI: 10.21456/vol9iss2pp220-227

Abstract

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
PENENTUAN LOKASI TEMPAT PEMBUANGAN SEMENTARA SAMPAH MENGGUNAKAN METODE BROWN GIBSON BERBASIS SISTEM INFORMASI GEOGRAFIS Sihotang, Dony Martinus; Tarus, Karen N.V; Widiastuti, Tiwuk
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 (1032.848 KB) | DOI: 10.21456/vol9iss2pp177-184

Abstract

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%.
EKSTRAKSI CIRI ORDE PERTAMA DAN METODE PRINCIPAL COMPONENT ANALYSIS UNTUK MENGIDENTIFIKASI JENIS TELUR AYAM KAMPUNG DAN AYAM ARAB Nurhayati, Oky Dwi; Eridani, Dania; Ulinuha, Ajik
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 (381.017 KB) | DOI: 10.21456/vol9iss2pp133-140

Abstract

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.
PEMANFAATAN SOCIAL NETWORK ANALYSIS UNTUK MENGANALISIS KOLABORASI KOMUNIKASI PADA BALAI PERIKANAN BUDIDAYA LAUT AMBON Latupeirissa, Ariyanto; Sediyono, Eko; Iriani, Ade
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 (833.677 KB) | DOI: 10.21456/vol9iss2pp121-132

Abstract

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
ANALISIS APLIKASI MOBILE TRANSPORTASI ONLINE MENGGUNAKAN USER EXPERIENCE QUESTIONNAIRE PADA ERA MILENIAL DAN Z Abdillah, Leon Andretti
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 (219.834 KB) | DOI: 10.21456/vol9iss2pp204-211

Abstract

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.
ANALISIS KUALITAS LAYANAN E-GOVERNMENT DENGAN PENDEKATAN E-GOVQUAL MODIFIKASI Septa, Frandika; Yudhana, Anton; Fadlil, Abdul
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 (2633.005 KB) | DOI: 10.21456/vol9iss2pp157-164

Abstract

E-Government Quality (E-GovQual) is a method for measuring the quality of electronic-based information systems in providing services to the public. The Modified E-GovQual Approach uses the overall assessment of the SIMSARPRAS website (Infrastructure Management Information System) based on the user's perception of the SIMSARPRAS website, so that the analysis of service quality becomes more accurate and precise in its assessment. Overall assessment of the E-GovQual Modification approach aims to determine the quality of service based on the level of influence of the 6 independent variables of E-GovQual, namely the ease of use, trust variable, function variable and form interaction (functionality of the interaction environment), variable reliability (reliability), variable content and display information (content and appearance of information) and supporting variables (citizen support) to the dependent variable, namely user satisfaction. This study uses the modified E-GovQual method by conducting validity, reliability testing, multiple linear regression analysis, t test and F test on the results of the questionnaire on 500 respondents, with 6 independent variables and 1 dependent variable. The results obtained in this study note that the quality of SIMSARPRAS website services has an effect of 61.7% on user satisfaction, and the correlation coefficient value is 78.5%. With these results, it was concluded that the SIMSARPRAS website has good service quality as an application that performs public services, and there is a strong relationship between the quality of E-Government services and the satisfaction of E-Government users. The results of this study also become a reference or evaluation material to the Ministry of Religion as the owner of the SIMSARPRAS website and can also be used as a reference for similar research.

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