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Hendra Kurniawan
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Proceeding International Conference on Information Technology and Business
Published by Institut Informatika dan Bisnis Darmajaya
ISSN : 24607223     EISSN : -     DOI : -
Core Subject : Economy, Science,
Computer Science & IT Economics, Econometrics & Finance
Proceeding International Conference on Information Technology and Business is a series of one-year international conferences organized by the Informatics and Business Institute Darmajaya, with local and international partners. The conference will provide a unique opportunity for the productive exchange of interdisciplinary ideas in the fields of computer science and business economics among participants from industry, research institutes, academia, government and policymakers.
Arjuna Subject : Umum - Umum
Articles 395 Documents
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Fintech Literature and Inclusion's Impact on MSMEs' in Bandar Lampung Jaka Darmawan; Ari Purnomo; Bandarsyah Bandarsyah
Prosiding International conference on Information Technology and Business (ICITB) 2022: INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY AND BUSINESS (ICITB) 8
Publisher : Proceeding International Conference on Information Technology and Business

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Abstract

The purpose of this research is to determine the impact of financial literacy and fintech on financial inclusion. Purposive sampling was utilized in the sampling procedure, and 97 responses were gathered. According to the findings of this study, Financial Literacy has a considerable impact on Financial Inclusion in MSME Actors. Financial technology has had no substantial impact on MSMEs' financial inclusion in Bandar Lampung City. This research can be used by the Financial Services Authority (OJK) and Bank Indonesia, in collaboration with companies that provide financial products and services, to conduct socialization activities to improve financial literacy among the general public, particularly MSME owners, and to complete consumer protection regulations for financial technology services.Keywords— Financial Literature, Fintech, Inclusion, MSME
E-Registration Application Read Al-Quran Development for Student's Institute of Informatics and Business Darmajaya Triowali Rosandy; Retno Dwi Handayani; Pakarti Riswanto; Suratno Suratno
Prosiding International conference on Information Technology and Business (ICITB) 2022: INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY AND BUSINESS (ICITB) 8
Publisher : Proceeding International Conference on Information Technology and Business

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Abstract

Registration the Quran Reading Development Program for Darmajaya Institute of Informatics and Business Students is currently still using the google form where the link is shared manually using social media such as WhatsApp, Instagram, Facebook or orally directly through lecturers teaching Islamic subjects. The Quran Reading Development Program Team opened registration for approximately 2 weeks to ensure that information on this activity had been conveyed to all students who had taken religious courses. Furthermore, the team took 1 week to validate the registration and payment data, then the Quran reading team publish information for students who succeeded or failed in registering. This causes the activity to experience problems where the implementation of the Bina Baca Quran program can run 3 to 4 weeks after the implementation of the learning lecture takes place. With the development of the use of electronic systems in community services, the Bina Baca Quran registration application is an Android-based mobile registration information system application that serves to facilitate students and teams in carrying out Quran reading development activities, especially during registration. The method in designing the Quran reading application for Darmajaya Institute of Informatics and Business students used is the SDLC method, namely the waterfall model. After testing and based on the results that have been done using blackbox testing, the Quran reading application can run smoothly as expected and there are no bugs and in the testing process. The registration application for the Quran reading development program is more efficient and can make it easier to carry out registration activities in the Quran reading development program for IIB Darmajaya students.Keywords— Registration, Quran Reading, Waterfall, Blackbox Testing, Android Mobile
Skin Cancer Clasification Using Region Growing & Recurrent Neural Network Rian Yunandar; Suhendro Yusuf Irianto
Prosiding International conference on Information Technology and Business (ICITB) 2022: INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY AND BUSINESS (ICITB) 8
Publisher : Proceeding International Conference on Information Technology and Business

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Abstract

Skin cancer is a disease caused by mutations in the skin of cells. Melanoma and non-melanoma skin cancers are the two basic classifications for skin cancer. In addition, it is estimated that 5.9-7.8% of all cancer cases each year involve skin cancer. In Indonesia, 65.5% of skin cancers are basal cell carcinomas, followed by 23.0% squamous cell carcinomas and 7.9% malignant melanomas. When not discovered early, melanoma skin cancer can result in a high fatality rate. Basal cell carcinoma and squamous cell carcinoma are two examples of nonmelanoma skin cancers (NMSCs), which are far more frequent but far less likely to spread and cause mortality. Diagnosis made by an expert or doctor takes a long time and is often inconsistent because the environment and personal conditions influence the expert's condition. To minimize this problem, this research aims to introduce image processing methods for early skin cancer detection, the Region growing method, and artificial neural networks RNN for classification. It is hoped that this method of early cancer detection can be done quickly and does not require much money. This study will use two methods to detect skin cancer: the Region growing method and RNN-LSTM. This research aims to introduce the Region of interest (ROI) method and artificial neural networks to detect skin cancer.Keywords—Cancer skin, Region of Interest, Region Growing, Recurrent Neural Network, LSTM
Overconfident Ceo And Firm Value: A Critical Review, Bibliometric Analysis, And Research Agenda Ita Fionita; Edi Pranyoto
Prosiding International conference on Information Technology and Business (ICITB) 2022: INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY AND BUSINESS (ICITB) 8
Publisher : Proceeding International Conference on Information Technology and Business

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Abstract

The results of the literature review from 138 articles succeeded in identifying variables, countries, perspectives, and research methodologies in the context of research on Overconfident CEO and Firm Value conducted during 2004 - 2021. The results of the study found that studies of Overconfident CEO and Firm Values were mostly conducted in developed countries. namely in the United State as the main object of research. Based on the research methodology, the study size of Overconfident CEO and Firm Value uses a quantitative approach. The experimental, survey and combinative research methods become more relevant to be used to provide a better picture of the Overconfident CEO and Firm Value. In addition, future research on Overconfident CEO and Firm Value can use several less frequent variables, namely CEO Narcissism, dividend policy, capital structure, investment, corruption, ownership structure, and acquisitions.Keywords— Overconfident CEO, Capital Structure, agency theory, behavioral finance, systematic review, bibliometric.
Naïve Bayes Classifier Algorithm for Predicting Non-Participation of Elections in Lampung Province Fitria -; Rifad Sobah; Chairani Fauzi; Septilia Arfida; Suci Mutiara; Siti Nurlaila
Prosiding International conference on Information Technology and Business (ICITB) 2022: INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY AND BUSINESS (ICITB) 8
Publisher : Proceeding International Conference on Information Technology and Business

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Abstract

Several problems related to the DPT (Permanent Voter List) including the KPU (General Election Commission) it is difficult to get the NIK (Population Identification Number) of people who are in correctional institutions or prisoners, beginner voters who do not have an ID card (Kartu Tanda Sipil) who are currently in prison. study in student dormitories, Islamic boarding schools, and others who are outside the city, the number of which is 3-5% of invalid NIK, voters who do not have a resident identity, voters with KTP (Kartu Identity Card)/old Family Card and NIK (Population Identification Number) ) invalid around 7-19% and voters are difficult to find around 5-8% so that the KPU must-visit houses as regulated in the legislation. This could allow not all DPT (Permanent Voters List) to be registered.Naïve Bayes Classifier is one of the classification methods used in Data Mining which is based on the Bayes theorem. Bayes is a simple probability-based prediction technique based on the application of Bayes' theorem (or Bayes' rule) with strong (naive) independent (independence) assumptions. Naive Bayes is only a method for analyzing, it takes other media to display information that is easy to understand the results of the Naïve Bayes Classifier calculations. Pentaho data integration is a tool that integrates large amounts of data, calls from Excel, MySQL, and provides instructions for existing data. Tableau is an application that will improve, tableau can call data that has been integrated and display the data in the form of diagrams, text, spatial data, and points from locations.Keywords: Naïve Bayes Classifier, Algorithm, Election Commission
Financial Literacy and Financial Behavior on Investment Decisions: Lampung Investors Winda Rika Lestari; Yosua Theo Herlia; Lukmanul Hakim
Prosiding International conference on Information Technology and Business (ICITB) 2022: INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY AND BUSINESS (ICITB) 8
Publisher : Proceeding International Conference on Information Technology and Business

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Abstract

This study aims to analyze financial literacy and financial behavioral factors that affect investment decisions for investors in Lampung. This study will focus on investors in Lampung with more than one year of investment experience. The data used is primary data collected through online questionnaires. While the method used is a quantitative method with multiple linear regression approach. This study uses the Investment Decision variable as the dependent variable, while the independent variable consists of Financial Literacy, Herding, and Risk Tolerance. The results of this study indicate that financial literacy, risk tolerance, and herding have a significant effect on investment decisions. This means that investors tend to accept information and follow the decisions of others, where the greater the financial literacy, herding, and risk tolerance factors, the better the investor's decisions will be.Keywords: Investment Decision, Financial Literacy, Risk Tolerance, Herding
Lampung Culinary Information System Ochi Marshella Febriani; Nursiyanto Nursiyanto; Ayu Firdhayanti; Deppi Linda
Prosiding International conference on Information Technology and Business (ICITB) 2022: INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY AND BUSINESS (ICITB) 8
Publisher : Proceeding International Conference on Information Technology and Business

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Abstract

Many people in the city of Bandar Lampung have difficulty finding and getting information on culinary specialties of Lampung because there is no special promotion information system for typical Lampung culinary based on culinary categories and how is the process for booking culinary places in the Bandar Lampung City area. Based on these problems, the solution was to build a website-based Hits Culinary Information System to help the community, especially visitors from inside and outside the city of Bandar Lampung, in finding information about the culinary specialties of Lampung in the City of Bandar Lampung. The Hits Culinary Information System in the Bandar Lampung City area provides information and assists several culinary partners in developing their business such as product promotion and assisting visitors in the process of ordering food menus for reservations. The method used to develop the system is the waterfall method with a system developer tool, namely UML with several design stages, namely Use cases, Class Diagrams, Activity Diagrams, Sequential Diagrams. Then the system is built using the PHP programming language and MySQL database. The purpose of the research is to produce information media that can provide information on various kinds of Lampung culinary specialties as a form of introducing the typical food of the Lampung region. As well as expanding promotions from various partners throughout Bandar Lampung. The purpose of the research is to produce information media that can provide information on various kinds of Lampung culinary specialties as a form of introducing the typical food of the Lampung region. As well as expanding promotions from various partners throughout Bandar Lampung. The purpose of the research is to produce information media that can provide information on various kinds of Lampung culinary specialties as a form of introducing the typical food of the Lampung region. As well as expanding promotions from various partners throughout Bandar Lampung. Keywords—Information System, Culinary, Promotion and Ordering.
The Influence of Financial Innovation, Digital Technology, and Financial Literacy on Financial Inclusion with Fintech as a Moderation Variable in Culinary Entrepreneurs in Bandar Lampung Erlin Kusnita; Texy Sagara; Elsa Silviana; Alfira Dewi Rohmah; Rike Oktavianika; Veni Hermawati
Prosiding International conference on Information Technology and Business (ICITB) 2022: INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY AND BUSINESS (ICITB) 8
Publisher : Proceeding International Conference on Information Technology and Business

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Abstract

The phenomenon in Bandar Lampung found that culinary businesses still have obstacles with a very limited ability to access financial information in financial institutions. In addition, low ability and knowledge of human resources, simple management and financial reporting that is not in accordance with accounting standards, and the limited use of technology are also obstacles in the development of medium-sized enterprises. This study aimed to determine the influence of financial innovation, technology, and financial literacy on financial inclusion and to find out the influence of financial innovation, digital technology, and financial literacy on financial inclusion with Fintech as moderation in culinary entrepreneurs in Bandar Lampung City This type of research was quantitative research using questionnaire data collection techniques. Data analysis in this study used normality test methods, linearity tests, and hypothesis tests.Keywords--- Financial Innovation, Digital Technology, Financial Literacy, Financial Inclusion, Fintech
Study of Detecting Corn Plant Leaf Disease with Fuzzy C-Means and RNN Enrico Findley; Suhendro Yusuf Irianto
Prosiding International conference on Information Technology and Business (ICITB) 2022: INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY AND BUSINESS (ICITB) 8
Publisher : Proceeding International Conference on Information Technology and Business

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Abstract

Corn is a top commodity after rice at supporting food self-sufficiency in Indonesia. However, because of corn leaf spot disease caused by plant pests the quality and quantity of corn is greatly decreasing. The problem with detecting spot-on corn leaf is required high accuracy and the plantation is huge. Therefore, this research study to determine corn leaf spot disease using Fuzzy C-Means and RNN methods. The research process in this study is first preprocessing to CIE-L*A*B* color space, next step is doing corn plant leaf disease detection with Fuzzy C-Means and RNN methods, the third step is to reconstruct the image from Fuzzy C-Means and RNN method result in grayscale level, and the last step is to evaluate the Fuzzy C-Means and RNN algorithm. In this paper only Fuzzy C-Means segmentation and training the RNN model are implemented. The result of the experiment is first from training RNN model with 80% training data and 20% testing data. The data trained for 20 epochs with 38 minutes and 1.8 seconds in total execution time and resulting with 0.9403 for accuracy and 0.9572 for validation accuracy. Next is the Fuzzy C-Means segmentation result, the Fuzzy C-Means execution time is 94 minutes and 16 seconds. For future research the RNN can be trained with much higher epoch and for Fuzzy C-Means can be combined with classification algorithm. We hope that this study can contribute to detecting leaf spot disease for corn plant at faster rate.Keywords—Fuzzy C-Means, Image Segmentation, RNN, Corn Disease Detection
The Effect of Perceived Security and Trust Using Mobile Banking Payment Method (In Madagascar) Vatsiniaina Tatamo Sahondra; Viola De Yusa
Prosiding International conference on Information Technology and Business (ICITB) 2022: INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY AND BUSINESS (ICITB) 8
Publisher : Proceeding International Conference on Information Technology and Business

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Abstract

This study investigates the impact of perceived security and trust using mobile banking on market place. It examines the effect of mobile baking among service quality, customer behavior and buying decision. The findings of the study indicate that among the variables perceived security and perceived trust has significant impacts customer buying decision when shopping online. Moreover, the result expected will be indicate that perceived security had significant positive affect on trust. Service quality improved to be a significant impact on customer satisfaction and buying decision. Keywords—Mobile banking, security perception, trust perception, Intention to buy

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