Articles
Visualization Of Tourist Visit Time Series Data Using Google Data Studio
Nur Azis;
Ahmad Jurnaidi Wahidin;
Pandu Adi Cakranegara;
Arianto Muditomo;
Efendi Efendi
Jurnal Mantik Vol. 6 No. 2 (2022): August: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)
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DOI: 10.35335/mantik.v6i2.2731
Data presentation techniques in the development of information technology are essential in processing data and producing information. The process of processing data into information can be one of the considerations in determining decisions. Time series data containing data with detailed time sequence frequencies within a certain period can be processed into information showing changes in a data variable within a specific period that can be analyzed according to needs, for example, on data on domestic tourist visits in an area. If the data can be adequately visualized, it can provide easy to digest information. Data analysis is carried out on the Google Data Studio interface because combining visualization methods can help people quickly understand the data. This study uses Google Data Studio for data analysis and visualization through scoreboards, line graphs, and pie charts. The results of the research are in the form of data visualization, which shows a decrease in the number of domestic tourist visits to Bali from 2019-2021, which is around 500 thousand domestic tourists from 2019 to 2020, and a decrease of about 30 thousand domestic tourists from 2020 to 2021. In addition, visualization data with pie charts show a decrease in domestic tourist arrivals of 54.2% in 2019. The percentage decreased to 23.6% in 2020 and 22.1% of visits in 2021.
Analysis of Internet Utilization for the Community in Terms of Rural and Urban Conditions in the Province of Indonesia
Suhardjono S;
Pandu Adi Cakranegara;
Ade Risna Sari;
Rudy Max Damara Gugat;
Nanny Mayasari
Jurnal Mantik Vol. 6 No. 3 (2022): November: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)
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DOI: 10.35335/mantik.v6i3.3013
The advancement of information and communication technology necessitates the establishment of internet telecommunications networks to serve all regions of Indonesia. The necessity for internet connection has evolved into a pattern of community requirements toward a technologically savvy and digital society. The government of Indonesia has carried out equitable distribution of internet networks in order to assist the efforts of the 4.0 technology era. The purpose of this research is to examine how Indonesians use the internet, particularly in rural and urban locations across the country. The data visualizations are used in the analysis for each province in Indonesia to determine the purpose of internet use in the community. by understanding the purpose of internet use in rural and urban populations across all provinces in Indonesia in order to acquire statistics on telecommunications development and the most prevalent use that is useful in people's daily lives The data is based on Central Statistics Agency data on internet use in rural and urban areas throughout 34 Indonesian provinces. According to the findings, the most common reasons for people in Indonesia to use the internet are for social media purposes, for information and news, and for entertainment.
Analysis of the Effect of Using Marketplace Based on Customer Data Security
Rizki Dewantara;
Wilda Widiawati;
Pandu Adi Cakranegara;
Abdul Samad Arief;
Tienni Mariana Simanjorang
Jurnal Mantik Vol. 6 No. 3 (2022): November: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)
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DOI: 10.35335/mantik.v6i3.3018
The era of the digital economy has become a trend that facilitates transactions for all individuals. One of them is the existence of a marketplace application that uses the internet network to facilitate the buying and selling process. Currently, numerous individuals use the functionality and convenience of the marketplace application for their various activities and needs. Obviously, the features and convenience of the marketplace application have been significantly adapted to meet the needs of customers, and customer data security has been prioritized. This study examines the level of customer understanding regarding the security of personal data when conducting online transactions and utilizing marketplace applications. Random sampling was used to distribute questionnaires containing 16 questions with guttman scale assestment about environmental and social influences, personal data security facilities, the purpose of using the marketplace, and self-awareness regarding customer data security when using the marketplace application to 80 respondents. 84% of customers stated that the security of their personal data has been entrusted to the used marketplace application, according to the overall findings of the study. Obviously, this is related to the customer's needs in utilizing marketplace features, as 77.5% of customers strongly believe that the marketplace application they use provides a level of security for customer personal information.
Determination of Smart and Accurate Contest Participants at the Elementary School Level Using Profile Matching Method
Mirzon Daheri;
Pandu Adi Cakranegara;
Nurlailah;
Gamar Al Haddar;
Nurhadi
Jurnal Mantik Vol. 6 No. 3 (2022): November: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)
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Improving the quality of education for students is a key objective of school-based learning activities. A smart and accurate contest is one of the approaches and technology-based learning models utilized by teachers who actively cultivate the abilities and interests of their students. The school selects students who succeed in the academic field, as demonstrated by their results in each topic, then selects individuals based on the selection criteria and determines kids with the highest scores who are eligible to participate in the smart and accurate contest. The goal of this work is to present a decision-making model using the Profile Matching approach. Using the GAP comparison table, this method determines the GAP value between the ideal candidate and the candidate candidate. The research data shows that there are 5 alternative student candidates participating in the quiz competition and 4 assessment criteria, namely the Average Knowledge Aspect Value (C1), Skill Aspect Average Score (C2), Simulation Test Score (C3) and Test Runtime (C4). The assessment model employing the Profile Matching method was successfully applied to the problem of determining smart and accurate contest participants. The results indicated that there were three best alternatives for students participating in the smart and accurate contest: alternative A4 with a value of 4,7, followed by alternatives A1 and A2 with a value of 4,5.
Infographic of Internet Usage Data for Learning Process in the Province of Indonesia
Nofirman;
Pandu Adi Cakranegara;
Diana Yusuf;
Nanny Mayasari;
Arifin
Jurnal Mantik Vol. 6 No. 3 (2022): November: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)
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The development of telecommunications in Indonesia has significantly affected the emergence of the digital age, as the internet has become a daily necessity for community activities. Information and communication technology (ICT)-based learning is influencing teaching methods and learning media to use the internet for the learning process in the field of education. This study aims to analyze and graphically present data on the internet usage of rural and urban residents in all Indonesian provinces concerning their education levels. The presented data is in the form of types of internet usage that support the learning process so that it can become predominant in the use of the internet by rural and urban areas and serve as a positive input for internet service providers in the improvement of education-related services. The results indicated that using the Internet to support the learning process by communities in rural and urban areas of Indonesian provinces is one of the goals of using the Internet to obtain information for the learning process is 10%. D.I.Yogyakarta has the highest percentage 58,1%, indicating the most significant number of internet users for educational purposes. When students and student users access the internet to support the learning process, they engage in a variety of activities, including doing assignments, accessing e-learning tools, accessing media information to support learning, using web browsers to display social media, and accessing e-mail to submit assignments using smartphone media, which is the most prevalent form of internet access.
Effect of Inflation, Exchange Rate, and Interest Rate on the Composite Stock Price Index
Siti Kholijah;
Amimah Qodari;
Yolanda Sari;
Pandu Adi Cakranegara;
Agnes Soukotta
Budapest International Research and Critics Institute-Journal (BIRCI-Journal) Vol 5, No 3 (2022): Budapest International Research and Critics Institute August
Publisher : Budapest International Research and Critics University
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DOI: 10.33258/birci.v5i3.6237
The purpose of this research is to discuss effect of inflation, exchange rate, and interest rate on the composite stock price index. The type of research used in this research is casual research. This study uses quantitative data with the type of time series data. Samples taken from 2018 to the end of 2021, in the form of monthly data, the data is secondary data that has been validated and issued directly from the official website. The method of analysis used multiple regression analysis. The results show that inflation has a positive and significant effect on the composite stock price index. Exchange rate has a positive and insignificant effect on the composite stock price index. Interest rate has a positive and significant effect on the composite stock price index.
Effect of Financial Performance and Investment Decision on Company Value in Manufacturing Companies Listed on the Indonesia Stock Exchange
Karona Cahya Susena;
Mekar Meilisa Amalia;
Irwan Moridu;
Pandu Adi Cakranegara;
Hengky Leon
Budapest International Research and Critics Institute-Journal (BIRCI-Journal) Vol 5, No 3 (2022): Budapest International Research and Critics Institute August
Publisher : Budapest International Research and Critics University
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DOI: 10.33258/birci.v5i3.6233
The purpose of this research is to analyze effect of financial performance and investment decision on company value in Manufacturing Companies Listed on the Indonesia Stock Exchange. The type of research used in this research is quantitative research. The sample in this study is Manufacturing Companies listed on the Indonesia Stock Exchange with the observed period from 2018 to 2021. The sample selection method in this study is purposive sampling. Based on the criteria, the research sample was 36 companies, so the observations that were used as samples for this study were 108 observational data. Hypothesis testing in this study uses a partial test. The results show that financial performance has not significant effect on company value in Manufacturing Companies listed on the Indonesia Stock Exchange. Investment decision has significant effect on company value in Manufacturing Companies listed on the Indonesia Stock Exchange.
Effect of Price, Brand Image, and Product Quality on Customer Loyalty
Ade Perdana Siregar;
Pandu Adi Cakranegara;
Ovita Charolina;
Gusti Noorlitaria Achmad;
Teguh Setiawan Wibowo
Budapest International Research and Critics Institute-Journal (BIRCI-Journal) Vol 5, No 4 (2022): Budapest International Research and Critics Institute November
Publisher : Budapest International Research and Critics University
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DOI: 10.33258/birci.v5i4.7230
In the current era of globalization, many industries have developed rapidly and become industries that are able to provide consumer goods. However, with the development of the times, consumer needs are also increasing and varied. There are also many new companies that have been established and can also fulfill human needs. The human population is also increasing every day, so the need will also be endless. The purpose of this study is to analyze effect of price, brand image, and product quality on customer loyalty. The type of research used in this research is quantitative research. The population in this study are customers of PT Sarang Tawon Sukses Abadi totaling 75 respondents. The samples taken in this study are customers of PT Sarang Tawon Sukses Abadi totaling 75 respondents. Data analysis in the study of multiple linear regression analysis. The results show that price has a positive and insignificant effect on customer loyalty. Brand image has a positive and significant effect on customer loyalty. Brand image has a positive and significant effect on product quality.
Effect of Total Quality Mangement on Visitor Satisfaction and Its Effect on Service Quality
Zainuddin Latuconsina;
Uli Wildan Nuryanto;
Pandu Adi Cakranegara;
I Nyoman Tri Sutaguna;
Samuel PD Anantadjaya
Budapest International Research and Critics Institute-Journal (BIRCI-Journal) Vol 5, No 3 (2022): Budapest International Research and Critics Institute August
Publisher : Budapest International Research and Critics University
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DOI: 10.33258/birci.v5i3.6925
This study aims to analyze effect of total quality management on visitor satisfaction and its effect on service quality. The population in this study are library employees at Universitas Pattimura, Ambon. The sampling technique used is purposive sampling, with a number of respondents as many as 33 respondents. Data are collected using a questionnaire as the main instrument and a questionnaire using the likert scale to measure respondents' answers. Hypothesis testing using partial least square test. The results show that total quality management has a positive effect on visitor satisfaction at the Library at Universitas Pattimura, Ambon. Visitor satisfaction has a positive effect on service quality at the Library at Universitas Pattimura, Ambon.
Fuzzy Time Series Markov Chain for Rice Production Forecasting
Muhammad Najib Mubarrok;
Uli Wildan Nuryanto;
Renatalia Fika;
Pandu Adi Cakranegara;
Adelin Elsina Tanati
Budapest International Research and Critics Institute-Journal (BIRCI-Journal) Vol 5, No 3 (2022): Budapest International Research and Critics Institute August
Publisher : Budapest International Research and Critics University
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DOI: 10.33258/birci.v5i3.6757
Forecasting is an activity to get an estimate of the value that will appear in the future by paying attention to past events. Forecasting can be used as decision support in determining a policy in various fields. Forecasting can be done using statistical methods such as regression analysis, trend analysis, MA, and ARIMA. In this paper, the fuzzy time series markov chain method will be forecast which will be applied to rice production data in D.I. Yogyakarta Province. The fuzzy time series markov chain method was chosen because it does not need to meet certain assumptions so that the fuzzy time series markov chain can be applied to time series data with stationary and non-stationary patterns. This study aims to analyze fuzzy time series markov chain for rice production forecasting. This study uses time series analysis. The data used in this research is secondary data. The data used in this study is data on rice production in D.I. Yogyakarta Province in 1970-2017 taken from the website www.pertanian.go.id. Historical data consists of 48 data. Solving this research problem using fuzzy time series markov chain method. The results of the study show that forecasting with 11 fuzzy sets is declared the best forecast with a mean absolute percentage error of 4.156%. .