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JURNAL SISTEM INFORMASI BISNIS

jsinbis
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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.

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Articles 15 Documents

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Search results for , issue "Vol 10, No 1 (2020): Volume 10 Nomor 1 Tahun 2020" : 15 Documents clear

Penggunaan Algoritma CART untuk Pemilihan Bingkai Kacamata dengan Penerapan Model Morfologi Indeks Wajah untuk Identifikasi Bentuk Wajah Retno Hapsari, Angga Ayu; Gernowo, Rachmat; Widodo, Catur Edi
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 10, No 1 (2020): Volume 10 Nomor 1 Tahun 2020
Publisher : Universitas Diponegoro

The large variety of frame shapes and sizes make it difficult for consumers to choose which one suits their face. The absence of a standard frame style guide between face types against the eyeglass frame complicates the selection of eyeglass frames. The application of the Zen principle (balance) in the selection of the right frame expected to be a consideration in choosing eyeglass frame. Various forms of eyeglass frames that look like a square, round and oval make the Zen principle difficult to apply, so machine learning is needed to be able to create eyeglass frames selection system. Face shape identification help to determine eyeglass frames. Face shape identification is done based on the morphological facial index by calculating face length and width. The decision tree CART algorithm is chosen as a method for selecting eyeglass frames. The study uses 109 face data that have been selected by the optical, from 109 data divided into two parts, 100 training data, and 9 test data. The prediction system produces an accuracy value of 93% at max depth 6 for reading glasses and 91% for sunglasses. The implementation of the CART algorithm is proven to be able to predict the selection of eyeglass frames using morphological attributes of face index.

Sistem Informasi Monitoring Skripsi Berbasis Web (Studi Kasus: Prodi Akuntansi Universitas Mercu Buana) Kristiyanti, Dinar Ajeng; Mulyana, Ahmad
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 10, No 1 (2020): Volume 10 Nomor 1 Tahun 2020
Publisher : Universitas Diponegoro

One of the final requirements in academic education for students is to conduct scientific research as outlined in the form of a final thesis. The large number of students taking research courses, makes the Accounting Study Program of the Faculty of Economics and Business at Mercu Buana University difficult to monitor the implementation of the thesis in every semester. With this problem, the researcher aims to build an information system to monitor the thesis that can record all the processes from the beginning of choosing the topic, taking the thesis exam and the graduation done by students. The urgent need for the development of a thesis monitoring information system is the reason for choosing a method of developing Rapid Application Development (RAD), so that the wishes of the Head of Accounting Department of the Faculty of Economics and Business at Mercu Buana University can be fulfilled immediately. The RAD stage that has been carried out is the requirement gathering stage which covers the needs of the operational environment, functional requirements, information needs, and interface requirements. The design phase consists of conceptual schema design, database design and interface design. The result of this research is a thesis monitoring system which has been tested and applied to the Accounting Study Program at Mercu Buana University. This system helps for both students in thesis consultation and the head of accounting in monitoring thesis students effectively and efficiently.

Implementasi Metode ANP-PROMETHEE Untuk Pemilihan Supplier (Studi Kasus PT. Lamongan Marine Industry) Wicaksono, Mahad; Surarso, Bayu; Farikhin, Farikhin
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 10, No 1 (2020): Volume 10 Nomor 1 Tahun 2020
Publisher : Universitas Diponegoro

The selection of suppliers is essential to minimize the cost of procuring raw materials for production. This research is important to do in order to increase company profits and ensure the smooth production process. This study aims to select suppliers of shipbuilding raw materials of PT. LMI based on the best ranking order using the ANP-PROMETHEE method implemented in a decision support system. The variables used are 16 sub criteria and 6 alternatives. The ANP-PROMETHEE method is used because of its advantages in handling multi-criteria assessment based on subjective assumptions from decision makers. Stages of the study began with the ANP method to get the importance of weight then proceed to the calculation with the PROMETHEE method to get an alternative ranking. The results of this study is an application as a Decision Support System (DSS) that can help make supplier selection based on predetermined criteria. From the results of the study it was concluded that the ANP-PROMETHEE method can be implemented and is the right solution for supplier selection, ANP handles the problem of multiple objective decision making so that objectivity is maintained, while PROMETHEE handles the multi attribute decision making problem. Other conclusions are obtained that the PROMETHEE calculation has a more significant influence in determining the final outcome of an alternative ranking than the ANP. An input of ANP value is needed with a long number interval so that the results of the calculation of the Consistency Ratio (CR) approach the CR threshold (0.1) so that the ANP has a significant influence in determining the final outcome of an alternative ranking. The CR number that was tested was 0.0629 and proved unable to change the alternative ranking final results, when the CR number that was tested was 0.0993, it was proven to be able to change the alternative ranking final results.

Implementasi Augmented Reality Furniture Dengan User-Defined Target Berbasis Android Junaidi, Akmal; Prabowo, Rizky; Syarif, Admi; Fazri, Yudistira
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 10, No 1 (2020): Volume 10 Nomor 1 Tahun 2020
Publisher : Universitas Diponegoro

Furniture catalogs display items statically in 2-dimensional form only. Buyers often want to observe furniture in a real room. Home-View application in this study can display 3D furniture objects as they want. Home-View App has been developed with Augmented Reality technology. Application is developed using the Vuforia SDK library and User Defined Target (UDT) method in the Unity3D software. UDT is utilized to display 3D furniture on a target like magazine and book covers. Home-View application has two menus namely Marker Katalog and HomeView. Marker Katalog serves as a method to view 3D furniture in a small form in the furniture catalog. HomeView serves as a way to view 3D furniture in the desired room. This application has a positioning feature on the x and y axis and rotating feature on the z axis. The application can run by displaying 3D furniture to its actual size at the HomeView menu and successfully displaying 3D furniture as listed on the catalog at the Marker Katalog menu.

Sistem Optimasi Penjadwalan Mesin Produksi Menggunakan Metode GUPTA Berbasis Android Mashuri, Chamdan; Mujianto, Ahmad Heru; Sucipto, Hadi; Arsam, Rinaldo Yudianto
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 10, No 1 (2020): Volume 10 Nomor 1 Tahun 2020
Publisher : Universitas Diponegoro

Research has been carried out by developing an optimization information system for scheduling production machines by applying the Android-based GUPTA method. This android-based application is able to optimize production time, because in the android application it implements the GUPTA algorithm which uses the calculation of the comparative processing time on every machine in the company by prioritizing the smallest processing time for scheduling which aims to optimize production scheduling time, by paying attention to the value of makespan to produce product size 12 griddle, size 14 griddle, 16 size griddle, 18 size griddle and 20 size griddle so that an optimal makespan value is obtained. The GUPTA method can be used in problems with more than two machines, because this method combines the time of each process on the first and subsequent machines to find the minimum value and can only be used in pure flow shop scheduling. The advantage of this method is that it determines scheduling only on one machine group. This research resulted in an Android-based application that can schedule products to be produced by machines automatically. From the results of testing with a total of 12 pieces of production in each product with a total of 5 different sizes, the minimum value of makespan is obtained, namely 2054569 minutes with the sequence of product processing with work order 12 griddle, griddle 18, griddle 20, griddle 16, and griddle 14 The accuracy of the application test results shows 98.87% for the first time and 98.84% for the second time when compared with manual calculations.

Analisis Faktor E-Learning Readiness dengan Menggunakan Principal Component Analysis Nuzhah Al Waaidhoh; Eko Sediyono; Kristoko Dwi Hartomo
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 10, No 1 (2020): Volume 10 Nomor 1 Tahun 2020
Publisher : Universitas Diponegoro

Technological innovation in the industrial revolution era of 4.0 has changed the concept of learning. For example, the e-learning enables students to learn any where and any time without the limitations of distance, space and time. E-learning brings transformation in the world of education by enabling students to access information, data and learning material in more effective and efficient ways. With some of the benefit soffered by e-learning, many organizations want to apply e-learning system. Implementation of e-learning started with assessing thee-learning readiness. There are many factors found by researchers in the process of assessing e-learning readiness. This study aims to reduce the number of e-learning readiness variabels and to identify the factors that most affect the level of e-learning readiness by using the PCA (Principal Component Analysis) method, so it can help organizations that will implement e-learning to prepare important things in the process of implementation e-learning system. The results obtained show that the three factors that most affect there a diness of implementation e-learning are organization, technology and human resources.

Manajemen Risiko Teknologi Informasi Pada Penerapan E-Recruitment Berbasis ISO 31000:2018 Dengan FMEA (Studi Kasus PT Pertamina) Pribadi, Hanafi Indra; Ernastuti, Ernastuti
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 10, No 1 (2020): Volume 10 Nomor 1 Tahun 2020
Publisher : Universitas Diponegoro

Increasing the efficiency of time and human resources in the process of recruiting PT. Pertamina (Persero) to carry out its business processes that are spread throughout Indonesia is very much needed by implementing a website-based online recruitment system. Increased efficiency is obtained from a system that runs without constraints, while the weaknesses (vulnerabilities) in a system will cause great threats to the company, then the risk management of information technology on the application of the E-Recruitment system needs to be done by referring to ISO 31000: 2018 and risk assessment to get a Risk Priority Number (RPN), which is the priority of risk treatment for each risk attribute using the FMEA (Failure Modes and Effects Analysis) method based on ISO 31010: 2009 with the aim of knowing and assessing how much the threats and risks in an information system can become consideration of company stakeholders in implementing the system. Risks obtained in this study are 3 types of potential risks and 28 risk attributes, after a risk assessment has been obtained, the results are obtained that 7 risk attributes require special attention in the process of implementing the system so that it can run well in the future.

Aplikasi Model DeLone and McLean untuk Mengukur Keberhasilan Sistem Informasi Penelitian dan Pengabdian Masyarakat di Universitas Brawijaya Puspitasari, Tri; Kusumawati, Andriani; Sujarwoto, Sujarwoto
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 10, No 1 (2020): Volume 10 Nomor 1 Tahun 2020
Publisher : Universitas Diponegoro

Aplication of DeLone and Mclean's Model (2003) renewed is very appropriate measuring the success of information system. This study aims to identify key success factors in the net benefits of information system used for managing research and community services at Brawijaya University. We applied DeLone and McLean model for identifying the key factors of the information system. Data were collected through survey involved 250 University Brawijaya lecturers. The results of the Structural Equation Modeling (SEM) analysis showed the net benefits of the information system were determined by the satisfaction and intention of the lecturers to use the information system, meaning that the more satisfied the lecturers were with the information system and the greater their intention to use the existing information system, the net benefit received would be bigger. Among the three factors that determine the satisfaction and intention of lecturers to use the system, the quality of the system has a greater influence than the quality of information and services.

Preferensi Konsumen Pengguna E-Commerce yang Memengaruhi Kesadaran akan Perlindungan Konsumen pada Generasi X Widyastuti, Hardiana; Prastitya, Tita Ajeng
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 10, No 1 (2020): Volume 10 Nomor 1 Tahun 2020
Publisher : Universitas Diponegoro

Nowadays people choose to buy product using the internet. E-Commerce is an alternative channel to buy goods or services, but the fact that the goods or services received by consumers are not always satisfying. In dissatisfication case, consumers have rights to sued. In this case, some consumers prefer to accept the deficiencies, because consumerâ€™s lackness of consumer protection awareness. Consumer protection is an effort that guarantee consumerâ€™s safety with legal aspect. The purpose of this study is to analyze the factors that influence the awareness of consumer protection. The method to determine the respondent is done by using purposive sampling with sample of 200 respondents, X Generation that had already used e-commerce. The result are then analyzed by descriptive analysis and Structural Equation Modeling with Partial Least Square. Result of this research shows that consumer protection awareness affected by access to information and experience. The information and experience that consumer have will be a lesson for the next online transaction.

Pengolahan Citra untuk Identifikasi Jenis Telur Ayam Lehorn dan Omega-3 Menggunakan K-Mean Clustering dan Principal Component Analysis Nurhayati, Oky Dwi
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 10, No 1 (2020): Volume 10 Nomor 1 Tahun 2020
Publisher : Universitas Diponegoro

Chicken eggs are divided into several types including omega-3 chicken eggs, native chicken eggs, Arab chicken eggs, and domestic chicken eggs. Visually to distinguish the type of domestic and omega-3 chicken eggs have difficulty because physically the shape of the eggshell and the color of the chicken eggs look the same. Visual inspection of the two types of chicken eggs has a weakness because it only relies on the sense of sight that has limitations, and the results are less accurate because it is very dependent on the interpretation of each consumer. This research aims to distinguish the two types of domestic and omega-3 chicken eggs which pre-processing techniques of contrast stretching, brightness, histogram equalization, changing color images to gray images, then the k-mean image segmentation process is carried out. clustering, morphological operations, dilation, and erosion. Next, the first-order statistical feature extraction is done by calculating values namely mean, variance, entropy, skewness, and kurtosis results from the histogram. The final step is to look for eigenvalues, the eigen vector PCA method used to distinguish omega-3 egg types. The results in the form of plot graphs of mean and entropy features after the second rotation show that the first-order statistical feature extraction method and PCA method can be used to significantly distinguish the types of lehorn chicken and omega-3 chicken eggs.

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