International Journal of Advances in Data and Information Systems
International Journal of Advances in Data and Information Systems (IJADIS) (e-ISSN: 2721-3056) is a peer-reviewed journal in the field of data science and information system that is published twice a year; scheduled in April and October. The journal is published for those who wish to share information about their research and innovations and for those who want to know the latest results in the field of Data Science and Information System. The Journal is published by the Indonesian Scientific Journal. Accepted paper will be available online (free access), and there will be no publication fee. The author will get their own personal copy of the paperwork. IJADIS welcomes all topics that are relevant to data science, and information system. The listed topics of interest are as follows: Data clustering and classifications Statistical model in data science Artificial intelligence and machine learning in data science Data visualization Data mining Data intelligence Business intelligence and data warehousing Cloud computing for Big Data Data processing and analytics in IoT Tools and applications in data science Vision and future directions of data science Computational Linguistics Text Classification Language resources Information retrieval Information extraction Information security Machine translation Sentiment analysis Semantics Summarization Speech processing Mathematical linguistics NLP applications Information Science Cryptography and steganography Digital Forensic Social media and social network Crowdsourcing Computational intelligence Collective intelligence Graph theory and computation Network science Modeling and simulation Parallel and distributed computing High-performance computing Information architecture
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<![CDATA[Stock Price Prediction using Prophet Facebook Algorithm for BBCA and TLKM ]]>
<![CDATA[Sasmitoh Rahmad Riady]]>
<![CDATA[ International Journal of Advances in Data and Information Systems Vol. 4 No. 1 (2023): April 2023 - International Journal of Advances in Data and Information Systems ]]>
Publisher : <![CDATA[Indonesian Scientific Journal ]]>
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DOI: 10.25008/ijadis.v4i2.1258
<![CDATA[Stocks are an investment instrument that is starting to be in great demand by the public today. However, stock prices are fluctuating, making people feel doubts about when they are going to invest. To overcome these doubts, we need a way to predict stock prices. This study aims to predict stock price fluctuations using Facebook's Prophet Algorithm to help people decide their investment in stock. The research object used is BBCA and TLKM stock price data in the form of a time series from 03 May 2021 to 28 April 2022 with stock price testing data for the next week, namely 01 May 2022 to 07 May 2022. From the training and testing process done, a prediction is produced that is very close to the original value. Using the RMSE, MSE and MAE measurements, we get RMSE 49.6, MSE 2462.1 and MAE 37.5 for BBCA and RMSE stocks, namely 21.3, MSE 456.5 and MAE 19.2 for TLKM shares. The conclusion is that Facebook's Prophet Algorithm is suitable for predicting stock prices.]]>
<![CDATA[The Construction of Counseling Information System with Object Oriented Technology Approach ]]>
<![CDATA[Agus Pamuji]]>;
<![CDATA[Rina Rindanah]]>;
<![CDATA[M. Reyhan Fadillah]]>
<![CDATA[ International Journal of Advances in Data and Information Systems Vol. 4 No. 1 (2023): April 2023 - International Journal of Advances in Data and Information Systems ]]>
Publisher : <![CDATA[Indonesian Scientific Journal ]]>
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DOI: 10.25008/ijadis.v4i2.1259
<![CDATA[The development of information systems in currently preserve to adjustment and it was customized according to the problem domain. In this paper, we will describe the modeling language that is applied when developing an information system. The development of information systems has become a trend for the last decade. Various methods have been proposed with different characteristics. The counseling information system in this case was developed with an object-oriented approach. The strong motivation in this research is to answer the challenges and demands of system development. Modeling in system development explains various modeling languages starting with identifying problems with use case modeling languages (Use case Diagrams), simplifying problems with structured modeling (Class Diagrams), to building communication patterns or interactions between objects with one another (Sequence Diagram). Thus, the system built is able to describe the complexity of information systems, especially counseling information.]]>
<![CDATA[Website Evaluation of DISPERDAG Section of the Average Price of Standard Needs Using the WEBQUAL 4.0 Method ]]>
<![CDATA[Saifulloh Saifulloh]]>;
<![CDATA[Isti Indana Zulfa]]>
<![CDATA[ International Journal of Advances in Data and Information Systems Vol. 4 No. 1 (2023): April 2023 - International Journal of Advances in Data and Information Systems ]]>
Publisher : <![CDATA[Indonesian Scientific Journal ]]>
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DOI: 10.25008/ijadis.v4i1.1260
<![CDATA[DISPERDAG of Madiun City is one of the organizations that has utilized technology. The community can easily access and get price updates for basic necessities at Pasar Besar City of Madiun. The Internet helps support strong governance management, which benefits its effectiveness. Its functions include making it easier to get information, access public services, communicate with the public, and others. DISPERDAG aims to continue to provide quality services. The quality of services provided to the public must complement the implementation of website-based services so that the public continues to use SISKAPERBAPO services. To provide the best service to users, government institutions should prioritize service quality. Therefore, the success of the service quality of the SISKAPERBAPO website has not been known as long as the website is implemented. This is because there has never been an evaluation of website quality based on user satisfaction. It goes without saying that a website that is useful for assisting users in obtaining information must maintain quality in terms of information delivery and user interaction. Good service quality is offered from the user's point of view as well as the service provider's point of view.]]>
<![CDATA[Relation of Chatbot Usage Towards Customer Satisfaction Level in Indonesia ]]>
<![CDATA[Andri Sahata Sitanggang]]>;
<![CDATA[R Fenny Syafariani]]>;
<![CDATA[Febilita Wulan Sari]]>;
<![CDATA[Wartika Wartika]]>;
<![CDATA[Novrini Hasti]]>
<![CDATA[ International Journal of Advances in Data and Information Systems Vol. 4 No. 1 (2023): April 2023 - International Journal of Advances in Data and Information Systems ]]>
Publisher : <![CDATA[Indonesian Scientific Journal ]]>
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DOI: 10.25008/ijadis.v4i1.1261
<![CDATA[In customer service for businesses in Indonesia, chatbot are predicted to be a pillar of business, especially chatbot that are able to reach customers proactively, provide availability 24 hours a day, even fulfill requests and answer customer questions quickly which has an important value in customer satisfaction factor in use of chatbot in Indonesia. The world of chatbots is very diverse to study from various aspects such as from a technological point of view, the study of natural language conversation of chatbots done by Shawar and Atwell concluded that chatbots are useful as a “tool”, entertainment tools, also learning and practice tools, as well as tools to help with e-commerce and other fields. Another chatbot study compared the ability of offline customer service agents in general on marketing and how to represent an online business with a chatbot and its effect on improving relationships with customers. In conclusion, chatbots provide an efficient alternative solution to conventional customer service in reducing the repetitive tasks of human admins in solving customer problems, or allowing the ability to respond to various customer needs.]]>
<![CDATA[Lean UX: Applied PSSUQ to Evaluate Less-ON UI/UX Analysis and Design ]]>
<![CDATA[Rio Andika Malik]]>;
<![CDATA[Marta Riri Frimadani]]>
<![CDATA[ International Journal of Advances in Data and Information Systems Vol. 4 No. 1 (2023): April 2023 - International Journal of Advances in Data and Information Systems ]]>
Publisher : <![CDATA[Indonesian Scientific Journal ]]>
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DOI: 10.25008/ijadis.v4i1.1263
<![CDATA[Indonesian start-up growth continues to show upward growth. Behind the upward movement of change are success statistics that develop contradictions. According to start-up statistics, about 90% of start-ups fail. Up to 75% of unicorn start-ups believe his excellent UI/UX design can boost start-up valuations and additional investment capital. Less-On is a tutoring provider that acts as an intermediary between teachers and students. This research is done by integrating the process of Lean UX methodology into each process present in each phase of software development. The results obtained from this research are final prototypes that have been validated in terms of criticism and suggestions through questionnaires in the form of lessons on start-up branding. The positive user experience and excellent usability will help further the development of the tutor booking application prototype. This plays an important role in the acceptance, satisfaction and efficiency of using this Less-ON application. The user interface has excellent usability for users tested using the PSSUQ, with an overall average score of 2.136, indicating system usability, information quality, interface quality, and overall Satisfaction-based demonstrates that the system is highly acceptable.]]>
<![CDATA[Developing an Augmented Reality Application as Instruction Media to Help in Learning the Solar System ]]>
<![CDATA[Muhammad Sholeh]]>;
<![CDATA[Erfanti Fatkhiyah]]>;
<![CDATA[Heru Aprianto]]>
<![CDATA[ International Journal of Advances in Data and Information Systems Vol. 4 No. 1 (2023): April 2023 - International Journal of Advances in Data and Information Systems ]]>
Publisher : <![CDATA[Indonesian Scientific Journal ]]>
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DOI: 10.25008/ijadis.v4i2.1264
<![CDATA[This study aimed to develop an application to help in learning the solar system using Augmented Reality (AR) technology. In an era where technology is very developed, learning about the solar system can be made more interactive by providing 3D illustrations to the students. One of the technologies that can be applied to support the development of educational applications to help in learning about the solar system is AR technology. It can create 3D illustrations. The study is the Research and Development (R&D). The research produced an AR-based solar system introduction application. This application can be used as a learning media for students. The developed AR application was tested using alpha and beta testing. The alpha testing was the marker accuracy testing and black-box testing, while the beta testing was done by distributing questionnaires to 30 respondents and then doing validity and reliability test. This study produced an AR application to help in learning the solar system. The black-box testing showed that the AR application generally was functioning well. The marker accuracy testing showed that the AR camera succeeded in scanning markers up to 25% of the marker area. The data obtained from distributing questionnaires were processed to know the validity in terms of attractiveness and effectiveness, and the results showed the data was valid. Moreover, the reliability testing was carried out with Cronbach's alpha, and the result was 0.771 for the attractiveness aspect and 0.742 for the effectiveness aspect. These values mean that most beta testers agree that the AR application was attractive and effective.]]>
<![CDATA[Prediction of Service Level Agreement Time of Delivery of Goods and Documents at PT Pos Indonesia Using the Random Forest Method ]]>
<![CDATA[Muhammad Isa Ansori]]>;
<![CDATA[Ririen Kusumawati]]>;
<![CDATA[M. Amin Hariyadi]]>
<![CDATA[ International Journal of Advances in Data and Information Systems Vol. 4 No. 1 (2023): April 2023 - International Journal of Advances in Data and Information Systems ]]>
Publisher : <![CDATA[Indonesian Scientific Journal ]]>
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DOI: 10.25008/ijadis.v4i2.1281
<![CDATA[This study aimed to predict the service level agreement travel time for goods and document shipments at PT Pos Indonesia (Persero) from the island of Java to the islands of Kalimantan, Sulawesi, Maluku and Papua. This is very important because of the high competition between the logistics industry which is getting faster and faster. The random forest method was chosen because this method is easy to use and flexible for various kinds of data. The prediction results with Random Forest in this study have a good level of accuracy, namely 83.86% of the average 4 trials. This shows that the Random Forest method is the right choice for managing the existing data model at PT Pos Indonesia.]]>
<![CDATA[Aspect-Based Sentiment Analysis of Hotels in Bali on Tripadvisor Using BERT Algorithm ]]>
<![CDATA[Dimas Samodra Bimaputra]]>;
<![CDATA[Edi Sutoyo]]>
<![CDATA[ International Journal of Advances in Data and Information Systems Vol. 4 No. 1 (2023): April 2023 - International Journal of Advances in Data and Information Systems ]]>
Publisher : <![CDATA[Indonesian Scientific Journal ]]>
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DOI: 10.25008/ijadis.v4i2.1284
<![CDATA[The covid pandemic that began in 2020 has caused enormous losses worldwide, including in Indonesia. Human-to-human contact is the source of the transmission of the covid virus, so the government urges people to maintain cleanliness when interacting. Bali is a popular destination for foreign and domestic visitors in Indonesia. Hospitality businesses in Bali unquestionably face a high risk of covid transmission; consequently, changes in hotel business processes are unavoidable; the implementation of new business processes can have a negative effect on business performance. In order to maintain Bali's reputation as the most popular tourist destination in Indonesia, the government must evaluate the performance of several hotel services that have implemented new business processes. The Aspect-Based Sentiment Analysis (ABSA) methodology can be utilized for performance evaluation. One of the finest algorithms for analyzing text, Bidirectional Encoder Representations from Transformer (BERT), is required for sentiment analysis. The data consists of textual customer evaluations of hotels in Bali that have implemented a new protocol or Standard Operational Procedure (SOP), retrieved from the Tripadvisor website. In the form of a number of evaluations of various aspects of the hotel, the research results can assist the government in analyzing the performance of hotels in Bali based on predetermined criteria.]]>
<![CDATA[Prediction of Planning Value School Shopping Income Budget with Multiple Linear Regression ]]>
<![CDATA[Cahyani Hana Bestari]]>;
<![CDATA[Faisal Fajri Rahani]]>
<![CDATA[ International Journal of Advances in Data and Information Systems Vol. 4 No. 1 (2023): April 2023 - International Journal of Advances in Data and Information Systems ]]>
Publisher : <![CDATA[Indonesian Scientific Journal ]]>
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DOI: 10.25008/ijadis.v4i1.1285
<![CDATA[The School Expenditure Budget Plan or RAPBS is the pillar of school management for allocating the revenue budget and use of school funds to meet all school needs for one year. However, there are problems that occur in the management of the RAPBS, namely the difficulty of grouping the RAPBS data annually, making it difficult to predict the budget for the coming year. This research was conducted to study and implement the Multiple Linear Regression algorithm in predicting the value of data on income and expenditure budget plans which are a reference in planning future budgets. To support predictions of planned school budgets and income, BUMS data, Aid data, School Program Cost data, Original School Revenue data, Other Sources data, and Total Budget data are used. The prediction system method used consists of the planning stage, the analysis stage, the modeling stage, interface design, and implementation using the PHP and MySQL programming languages for database management and system testing and analysis. The results of testing the data analysis using the multiple linear regression method with SPSS software have a 100% result according to the manual calculations performed.]]>
<![CDATA[Prediction of Planning Value School Shopping Income Budget with Multiple Linear Regression ]]>
<![CDATA[Cahyani Hana Bestari]]>;
<![CDATA[Faisal Fajri Rahani]]>
<![CDATA[ International Journal of Advances in Data and Information Systems Vol. 4 No. 1 (2023): April 2023 - International Journal of Advances in Data and Information Systems ]]>
Publisher : <![CDATA[Indonesian Scientific Journal ]]>
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DOI: 10.25008/ijadis.v4i1.1285
<![CDATA[The School Expenditure Budget Plan or RAPBS is the pillar of school management for allocating the revenue budget and use of school funds to meet all school needs for one year. However, there are problems that occur in the management of the RAPBS, namely the difficulty of grouping the RAPBS data annually, making it difficult to predict the budget for the coming year. This research was conducted to study and implement the Multiple Linear Regression algorithm in predicting the value of data on income and expenditure budget plans which are a reference in planning future budgets. To support predictions of planned school budgets and income, BUMS data, Aid data, School Program Cost data, Original School Revenue data, Other Sources data, and Total Budget data are used. The prediction system method used consists of the planning stage, the analysis stage, the modeling stage, interface design, and implementation using the PHP and MySQL programming languages for database management and system testing and analysis. The results of testing the data analysis using the multiple linear regression method with SPSS software have a 100% result according to the manual calculations performed.]]>
