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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 8 Documents
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Search results for , issue "Vol 12, No 2 (2022): Volume 12 Nomor 2 Tahun 2022" : 8 Documents clear
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
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.
Algoritma C4.5 Untuk Klasifikasi Kelayakan Kredit Calon Debitur Pada Sistem Informasi Penjualan Raymond Sutjiadi; Titasari Rahmawati; Anindya Ayu Prahartiwi
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/vol12iss2pp89-97

Abstract

In the era of information technology, the internet can be used as a medium to sell goods easily. By using the web-based information system, market coverage can be leveraged and the probability of getting customers is bigger. In a transaction, especially in the retail market, the process of buying is usually carried out using a credit payment system. Of course, in order to approve credit application is required scrutiny assessment from creditor to debtor profile to guarantee the payment continuity. In this research is developed a sales information system, which is integrated with creditworthiness determination feature using C4.5 algorithm. In this system, customers are able to buy and also apply credit. The credit application process can be rejected or accepted by the admin by looking at the credit trustworthiness as the result of C.45 algorithm process. By using this feature can be determined whether a debtor is qualified or not to receive credit, based on profile qualification such as occupation type, number of dependents, and domicile status. To develop information systems is used the method of Incremental Model. This method is chosen to prioritize the finishing system by its urgency, separated into several sub-processes, i.e., sales information system, account management, purchasing, and admin. The system implementation result is tested using the Black-Box Testing method, which is considered the most effective to test the system comprehensively. Also, from the test result of creditworthiness determination feature is obtained accurate result with the average value of Precision = 0.876, Recall = 0.952, and F-Measure = 0.912.
Kepuasan Pengguna Layanan Shopee Food Menggunakan Algoritma Naive Bayes Cahya Dewi A. A. P. Chrishariyani; Yusril Rahman; Qurrotul Aini
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/vol12iss2pp98-105

Abstract

The rising growth of e-commerce in Indonesia has resulted in a shift in people's spending patterns toward online shopping. This growth triggers marketers or sellers to learn various strategies to satisfy consumers when shopping using applications, especially the Shopee online store. This study aimed to analyze the satisfaction of consumers and users of the Shopee food service application as measured in various aspects, including price and service quality. The population in this study were 33 respondents with a minimum age of 15 years and a maximum of 50 years who had to make payments at least once in the last six months on the Shopee application. The data collection technique in this study used an online questionnaire distribution using Google Forms, which was then analyzed by SPSS and classified using the Naïve Bayes (NB) algorithm with the RapidMiner tool. The analyzed data includes application display attributes or indicators, the number of drivers, price discounts, and payment methods. The results of this study indicate that all independent variables affect the dependent variable by 49.7% and simultaneously affect user satisfaction. Also, the accuracy of NB can reach 100% with 90% training and 10% testing data.
Sistem Informasi Manajemen Pengumpulan dan Pengangkutan Sampah Padat dengan Efisiensi Rute Menggunakan K-Means Clustering dan Travelling Salesman Problem Munji Hanafi; Budi Warsito; 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/vol12iss2pp106-115

Abstract

The increasing population growth and rapid urbanization have resulted in large amounts of solid municipal waste (SMW). Nowadays, the problem of waste management is a problem that is being experienced by every country in the world. As a result, implementing efficient waste management strategies is increasingly needed. The collection and transportation of solid waste is the most important thing to pay attention to in waste management efficiency to reduce the costs of collecting and transporting solid waste. The research started by collecting data and interviewing the environmental services of Semarang City about the waste transportation system in Semarang City. The results of the data and interviews will then be used as a reference for the system analysis to be made. Then proceed with designing information systems. After that, the information system was developed by applying the Traveling Salesman Problem (TSP) method using a heuristic in the form of K-means Clustering. With the help of OR-Tools, TSP completion does not require node distance, just inputting the coordinates of each node. The study closed system testing. This research proposes a new approach to solving TSP. First is the process of assembling nodes into several clusters. Then, look for the shortest route in each cluster. The research resulted in 21 routes in 16 corridors to transport waste in Semarang City, presented on a map on a web-based Information System as Decision Support System (DSS). The comparison of the methods shows that TSP is the most suitable for this case.
Perancangan Arsitektur Enterprise FMIPA UNTAN Menggunakan Kerangka Kerja TOGAF Berbasis SOA Nurul Mutiah; Ferdy Febriyanto
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/vol12iss2pp116-123

Abstract

The research aims to develop an Enterprise Architecture from FMIPA UNTAN, this is based on the many individual information systems that have been developed by FMIPA UNTAN which are not integrated in data and technology. This situation results in overlapping data that can affect the effectiveness of decision making within the organization. The designed Enterprise Architecture implements the concept of service-oriented architecture in order to support the integration between the business layer and the organization's technology layer. To support the research, several concepts are used, such as TOGAF as a framework for developing Enterprise Architecture, Service Oriented Architecture as a supporter for integration of architectural layers, and Archimate and Business Process Modeling Notation as a modeling language used to create architectural artifacts. The stages of the research included problem identification, the Enterprise Architecture development process followed the stages of TOGAF ADM namely the preliminary phase, architectural vision, business architecture, information system architecture, technology architecture, and making an architecture implementation roadmap. The results of the development of Enterprise Architecture are architectural artifacts consisting of catalogs, matrices, and diagrams of business, information system, and technology architecture. Based on the design results, it is found that the Enterprise Service Bus concept in Service Oriented Architecture can be used to support application and data integration in organization, as well as the concept of service access can bridge the gap between the business layer and the technology layer.
Analisis Perbandingan Metode Mobile-D Dan Prototype Pada Pembangunan Aplikasi E-Book Anak Usia Dini Puji Rahayu; Nirmala Rahmi; Widya Wicaksana
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/vol12iss2pp124-131

Abstract

Literacy education in Indonesia is very low, which occupies the 62nd rank of 70 countries in the world. Based on the survey, one of the ways to increase the reading interest in the Indonesian people is to teach literacy education early in the age range of 3-6 years, where children begin to increase their cognitive, psychosocial and physical, and physical abilities. Therefore, we will develop an e-book as a learning medium to attract early childhood attention. The method used to develop this application is the Mobile-D method and prototype. The results of the test conducted on the E-Book Application of the Early Children's E-Book stated that all input forms and buttons in the system could run properly and the integrity of the output data on the input or the action carried out is following the user's expectations. The results of the analysis, design, implementation and comparison of the methods that have been carried out in the manufacture of this application show that the mobile-D development model is suitable for mobile development that can run on the system environment that accepts if there is a change or addition, the number of teams is a little, at level Applications, small-built systems and relatively short, development times. While the prototype development model is more suitable for systems made based on certain requests and needs by use.
Perbandingan Algoritma K-Means dan K-Medoids Untuk Pemetaan Daerah Penanganan Diare Pada Balita di Kabupaten Kuningan Tri Septiar Syamfithriani; Nita Mirantika; Ragel Trisudarmo
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/vol12iss2pp132-139

Abstract

Diarrhea is an endemic disease that contributes to the high mortality rate in Indonesia, especially among children under five. The Kuningan District Health Office had difficulties in monitoring and supervising the spread of diarrheal diseases. This study aims to produce a mapping scheme of priority areas in handling the prevention and control of the spread of diarrheal disease in children under five in Kuningan Regency. The method used is the Data Mining Clustering method by comparing two algorithms, namely the K-Means algorithm and the K-Medoids algorithm. Determination of the optimum number of clusters using the Elbow and Silhouette Coefficient methods. With this method, the result is that in the K-Means algorithm the optimum number of clusters is 3 clusters while the K-Medoids algorithm is 2 clusters. The best cluster evaluation uses the Davies-Bouldin Index (DBI) method and the results show that the K-Means DBI value is always smaller than the K-Medoids algorithm in either 2 clusters or 3 clusters, this shows that the K-Means algorithm is better than the K-Medoids algorithm. Based on these results, it is recommended to map priority areas for handling diarrheal diseases using the K-Means algorithm with 3 clusters, namely medium priority areas consisting of 9 regions, high priority areas consisting of 3 regions and low priority areas consisting of 25 regions. The results of the mapping can be used as input for the Kuningan District Health Office to develop strategies for preventing and preventing diarrheal diseases in children under five.

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