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The Effect of Satisfaction and Loyalty towards Digital Payment System Users among Generation Z in Yogyakarta Special Region 1

The Effect of Satisfaction and Loyalty towards Digital Payme...

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1st International Conference on Advanced Information Scientific Development, ICAISD 2020

作者： Pradiatiningtyas, Diah Dewa, Chriswardana Bayu Safitri, Lina Ayu Kiswati, Sri Program Studi Sistem Informasi Universitas Bina Sarana Informatika Indonesia

Two of the most popular digital wallet application companies in Indonesia are Go-Pay 80% and OVO 60%. To be able to survive in the midst of the intense competition in digital wallet applications, application companies must innovate marketing strategies that focus on consumers. Due to the useof digital wallets among the very large generation Z and increasingly intense competition in the business of digital payment applications, the authors examine the effect of user satisfaction and loyalty towards digital payments among generation Z ( case study on Go-Pay and OVO users in Yogyakarta). This research objective is to analyze the satisfaction and loyalty of digital payment system users among generation Z in Yogyakarta Special Region, so that the researchers can find out the influencing variable to empower the development of digital payment especially Ovo and Go Pay. The reseacrh methodology considered as descriptive research, in which the data collecting technique utilized Likert scale questionnaire and employed purposive sampling for selecting the sample. The data analysis applied multiple regressions. The result of the multiple regression testing shows that satisfaction and loyalty affect the Z-generation respondents using the digital payment with the indicators that the digital payment sounds more easy, cashless, and more benefit. Moreover, the usage of digital payment is easy to track small expenses. © 2020 Published under licence by IOP Publishing Ltd.

关键词： Competition

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The Measurement of Maturity Level in Chili's Using Index Pixel 3

The Measurement of Maturity Level in Chili's Using Index Pix...

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3rd International Conference on Science and Technology 2019, ICST 2019

作者： Delina, Nurul Kusuma Ayub Wahab, Iis Hamsir Khairan, Amal Program Studi Teknik Informatika Program Studi Teknik Elektro Fakultas Teknik Universitas Khairun Ternate Indonesia

A lot of knowledge and techniques of image processing which are now available are widely various. Much research as well as development is conducted in terms of detecting ripe fruits, one of which is chili. It is one of the local commodities that is marketable. The process of being ripe chili is relatively fast. Generally, to measure ripeness is still carried out manually. The disadvantage of this method is that the level of accuracy is inconsistent, causing fruit decay in numbers. On behalf of lowering the risk of fruit decay, the research conducted uses index pixel method. This means itself is the normalization of variety illuminated by taking ratio in each group of smallest points in an image processing. In this study, the image taking of chili using box equipped with black background is confirmed to be useful in reducing time of segmentation process. When it is in the process of detecting image by searching for the average of index pixel, then RGB will be counted using Learning Vector Quantization (LVQ) that is the calculation utilizing weighing value. As a result, the classification of maturity level can be seen in the test with a very high percentage value and influence to detect fruit ripeness, signed by the color of RG pixels (red and green) by 94.9% correctly detected, the color pixel RB (red and blue) is quite influential by 93.9% correctly detected, and the color of the GB pixel (green and blue) which was less influential at 63.6% was correctly detected. © Published under licence by IOP Publishing Ltd.

关键词： Pixels

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The Implementation of the MFEP (Multi Factor Evaluation Process) Method in Determining the Learning Model 1

The Implementation of the MFEP (Multi Factor Evaluation Proc...

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1st International Conference on Advanced Information Scientific Development, ICAISD 2020

作者： Warnilah, Ai Ilah Purnia, Dini Silvi Adiwisastra, Miftah Farid Sutisna, Herlan Ratningsih Ardianto, Rian Program Studi Sistem Informasi Universitas Bina Sarana Informatika Indonesia

The success of every generation of children is the hope of the success of the education *** role of educators especially teachers has an important role in achieving the success of their students then a teacher must have a strategy in developing the learning system. A system approach isneeded by using specific learning models, in order to help the teacher design the learning system. With the selection of the right learning model is one of the factors that support the success of the learning system. One factor of student achievement is less than the maximum is the application oflearning models that are not appropriate, the selection of learning models still using manual systems makes the learning models applied less precise and appropriate. The purpose of this study is to determine the decision support system in determining learning models including cooperative learningmodels, problem based learning models, contextual learning models, Direct learning models, with theaim to assist teachers in determining the appropriate learning model to be applied in teaching and learning activities. The method applied is using the MFEP (Multi Factor Evaluation Process) method., by determining and giving subjective / intuitive assessments on factors / criteria that are very influential on indicators / alternatives and ranking systems to find out the alternative with the highest value. The results of this study cooperative learning models are highly recommended in the learning process in determining the level of success of students with a value of 6.18 © 2020 Published under licence by IOP Publishing Ltd.

关键词： Learning systems

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Comparative Analysis on Dimension Reduction Algorithm of Principal Component Analysis and Singular Value Decomposition for Clustering 1

Comparative Analysis on Dimension Reduction Algorithm of Pri...

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1st International Conference on Advanced Information Scientific Development, ICAISD 2020

作者： Muningsih, Elly Nur, Hidayat Muhammad Dwi Imaniawan, Fabriyan Fandi Saifudin Handayani, Vembria Rose Endiarto, Feri Program Studi Sistem Informasi Universitas Bina Sarana Informatika Indonesia

Clustering is a method of dividing datasets into several groups that have similarity or the same characteristics. High-dimensional Datasets will influence the effectiveness of the grouping process. This study compares two dimension reduction algorithms, namely Principal Component Analysis (PCA) and Singular Value Decomposition (SVD) using K-Means clustering method to find out the best algorithm with the smallest Bouldin Davies Index evaluation. The dataset of this study involved publicdata from UCIMachine Learning which contains the number of weekly sales of a product. Data processing is performed by comparing the number of clusters from 3 to 10 and the dimension reduction from 2to 10. From the data processing the RapidMiner tools, application with dimension reduction can provide better results than without dimension reduction. In particular, the PCA algorithm shows better results than the SVD, with which the best number of clusters is 5, and the number of dimensional reductions is 3 with a Bouldin Index of 0.376. © 2020 Published under licence by IOP Publishing Ltd.

关键词： Principal component analysis

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Formal Modeling on Improvements of Route Discovery Algorithm for AODV Using UPPAAL

Formal Modeling on Improvements of Route Discovery Algorithm...

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International Seminar on Research of Information Technology and Intelligent Systems (ISRITI)

作者： Rachmat Wahid Saleh Insani Alda Cendekia Siregar Barry Ceasar Octariadi Sucipto Rodibelle F. Leona Program Studi Teknik Informatika Universitas Muhammadiyah Pontianak Pontianak Indonesia College of Information and Communications Technology Nueva Ecija University of Science and Technology Cabanatuan City Philippines

Mobile ad-hoc network (MANET) is a technology that enables a set of wireless mobile devices or routers to connect to each other, by establishing a temporary network, with no network infrastructure or any fixed management available. MANET's network topology constantly changes, therefore it is a challenge to preserve the routes between nodes. Hence, routing protocol existed as an instrument to meet these challenges. Ad-Hoc On-Demand Distance Vector (AODV) is a part of the on-demand routing protocol for MANET as nodes select a route on one condition when there is a node that wants to send data packets. One of the disadvantages of an on-demand routing protocol is a high probability for a node to lose communication link to the other since the unpredictability of changes on the network topology occurs continuously. This paper presents a methodical approach for verifying the route discovery algorithm of AODV variants using model checking with UPPAAL model checker, R-AODV, and OCR-AODV. In UPPAAL, the simulation tool can execute an exhaustive search for every state in a network of automata. In our analysis, we considered a broken link scenario during the route discovery process. Our UPPAAL message sequence chart shows that Reverse AODV achieved route discovery despite an intermediate node losing its transmission on the network while OCR-AODV requires rebroadcasting the RREQ message. These results may be used to suggest further additions to the route discovery algorithm in AODV.

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Risk Analysis of Cloud Computing in the Logistics Process 3

Risk Analysis of Cloud Computing in the Logistics Process

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3rd International Conference on Vocational Education and Electrical Engineering (ICVEE) - Strengthening the Framework of Society 5.0 through Innovations in Education, Electrical, Engineering and Informatics Engineering

作者： Maniah Milwandhari, Shiyami Politekn Pos Indonesia Program Studi D3 Manajemen Informatika Bandung Indonesia

ISBN: (纸本)9781728174341

In the era of the fourth industrial revolution or industry 4.0, one of the foundations is the application of Cloud Computing. Currently, many logistics industries have implemented cloud computing in their logistics processes. Logistic processes are activities carried out to run the logistics business, which is better known as logistic activities, such as integrating supply chains, providing warehousing services, transportation. How big is the risk value faced by business players in the logistics industry who implement cloud computing to support this logistics activity, so it is important to know the risk value of each logistic activity based on the probability and impact risk that exists. This study uses a qualitative approach where the researcher in collecting data, the researcher uses questions that are asked to respondents that are flexible. Respondents who are the object of this research arc several companies/industries that have logistics services to support their company's business. The method used in this research is risk analysis based on ISO 31000. The results of this study provide an overview of the risk value in 13 (thirteen) logistic activities, namely: Procurement activities have the highest risk value, and customer service activities have the most risk value lowers (1), while for 11 (eleven) other logistic activities the risk value is medium.

关键词： Cloud Computing logistics activity Risk Analysis the risk value

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The Role of Using Gadgets in Facing the Existence of Information Systems in the Tourism Village Community in Cidadap Village Using TAM (Technology Acceptance Model) 1

The Role of Using Gadgets in Facing the Existence of Informa...

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1st Paris Van Java International Seminar on Computer, Science, Engineering, and Technology, PVJ ISComSET 2020

作者： Legiawan, M.K. Sutoni, A. Mujiarto Program Studi Teknik Informatika Fakultas Teknik Universitas Suryakancana Cianjur Jawa barat43216 Indonesia Program Studi Teknik Industri Fakultas Teknik Universitas Suryakancana Cianjur Jawa Barat43216 Indonesia Department of Mechanical Engineering Universitas Muhammadiyah Tasikmalaya Indonesia

Indonesia is one of the countries crossed by the "ringoffire", the positive impact of the regionis to make the land fertile so that most of the regions in Indonesia are used as tourist attractions. Cidadap Village is in Campaka District, Cianjur Regency, which has the concept tofa tourist village. That is locate don anarea of 969,699 Ha with adescription of the potential of Natural Resources that can be used as tourist attractions, namely anarea of 79 Ha, 25 Ha of Forest, 554,559 Ha of dryland, 6 rivers and 8 Fruit Springs. While the total population of approximately 5811 people who have an educational background fromelementary schools to tertiary institutionsis approximately 2715 people or about 47% of the community who have an educational background. Inapplying the concept to the Tourism Village, ofcourse the role of technology is very important tin this case is the use of gadgets to provide information to the wider community to find out this potential. But be fore implementing information system technology, it is of course necessary to know in advance how ready the community is in using gadgets in the management of the tourist village. To measure how big the role of the Cidadap Village community is in the use of gadgets to information systems using the TAM (Technology Acceptance Model) model by forming constructs according to the model so as to create a hypothesis that is adapted to the conditions of the community. © Published under licence by IOP Publishing Ltd.

关键词： Information use

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K-Means Algorithm for Clustering the Location of Accident-Prone on the Highway 1

K-Means Algorithm for Clustering the Location of Accident-Pr...

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1st International Conference on Advanced Information Scientific Development, ICAISD 2020

作者： Puspitasari, Diah Wahyudi, Mochamad Rizaldi, Muhammad Nurhadi, Acmad Ramanda, Kresna Sumanto Program Studi Sistem Informasi Fakultas Teknik Dan Informatika Universitas Bina Sarana Informatika Sekolah Tinggi Manajemen Informatika Dan Komputer Nusa Mandiri Indonesia

In Indonesia, there is a highway which connects Jakarta and Bogor, some accidents have occurred at the highway every year. This paper aims to analyze the location of the accident to classify the high and low levels of accident vulnerability in the Jakarta Bogor Highway. First, the extracted data is then grouped based on some of the same characteristics in the dataset namely cause, location, minor injuries, serious injuries and death. Second, the grouping results are visualized in the form of highway maps that can help highway managers in identifying and evaluating several accident-prone points on Jakarta Bogor Highway. The method to be used in data processing in this study is the K-Means clustering algorithm which is expected to produce useful information for Jakarta Bogor Highway managers. The results of this study indicate that accidents that often occur are in cluster 3 with a total of 80 accidents and at least there are in cluster 2 with a total of 57 accidents, the location of accidents that often occurs in cluster 1 is in KM 24, while cluster 2 is in KM 41 and cluster 3 located at KM 10.6. © 2020 Published under licence by IOP Publishing Ltd.

关键词： Managers

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Implementation of Fuzzy Logic on Microcontroller for Quails Coop Temperature Control

Implementation of Fuzzy Logic on Microcontroller for Quails ...

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International Seminar on Research of Information Technology and Intelligent Systems (ISRITI)

作者： Nisa Rizqiya Fadhliana Sayekti Harits Suryawan Ariyadi Program Studi Informatika Institut Teknologi Kalimantan Balikpapan Indonesia Program Studi Teknik Informatika Fakultas Sains dan Teknologi Universitas Muhammadiyah Kalimantan Timur Samarinda Indonesia

ISBN: (纸本)9781665401524

Quail (cortunix cortunix japonica) is a type of poultry that is quite popular for its eggs and meat as an alternative protein source. However, for tropical climates such as Indonesia, there are challenges faced by quail farmers, namely heat stress. One way that can be a solution to deal with these challenges is to regulate the room temperature in the quail cage. This study aims to design an automatic temperature control system for quail cages using a microcontroller embedded with a fuzzy algorithm to determine the action to be taken to adjust the temperature and humidity of the air in the quail cage. The prototype developed in this research is tested by comparing the output simulation of the microcontroller with the simulation performed using Matlab software.

关键词： Heating systems Temperature dependence Microcontrollers Atmospheric modeling Simulation Software algorithms Humidity

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Stroke Disease Analysis and Classification Using Decision Tree and Random Forest Methods 6

Stroke Disease Analysis and Classification Using Decision Tr...

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6th International Conference on Informatics and Computing, ICIC 2021

作者： Puspitasari, Desy Ika Riza Kholdani, Al Fath Dharmawati, Adani Rosadi, Muhammad Edya Mega Pradnya Dhuhita, Windha Universitas Islam Kalimantan Muhammad Arsyad Al-Banjari Fakultas Teknologi Informasi Banjarmasin Indonesia Universitas Amikom Yogyakarta Fakultas Ilmu Komputer Program Studi Informatika Yogyakarta Indonesia

ISBN: (纸本)9781665421553

A stroke is a medical emergency that occurs when blood flow to the brain is blocked or decreased, depriving brain tissue of oxygen and nutrients. Stroke is the world's second leading cause of death, according to the World Health Organization (WHO). Stroke patients die within the first year of their illness. To reduce the risk of stroke, simple and effective tools are required. The goal of this study was to look into the classification of stroke potential and come up with a simple and reliable model. The Kaggle database provided the stroke prediction data set, which was based on input criteria such as gender, age, various illnesses, and smoking status. To determine the prediction of the construction model, decision trees and random forest classification methods were utilized. The independent variables determining the incidence of stroke were determined to be age (AUC 0.85), hypertension (AUC 0.62), blood sugar level (AUC 0.61), history of heart disease (0.56), married status (0.60), and body mass index (BMI) (AUC 0.56). Age, hypertension, blood sugar level, and BMI were all valid, with a random forest method accuracy of 98.90 percent and decision tree method accuracy of 95.90 percent. © 2021 IEEE.

关键词： Decision trees

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