Adilah Purnamasari, Fiqi Pranastara, Iftina Salya Rosa, D. Riana, Sri Hadianti
{"title":"Analysis of the Effect of DTPB on User Intention to Keep Using the Flip Application","authors":"Adilah Purnamasari, Fiqi Pranastara, Iftina Salya Rosa, D. Riana, Sri Hadianti","doi":"10.32520/stmsi.v11i1.1633","DOIUrl":"https://doi.org/10.32520/stmsi.v11i1.1633","url":null,"abstract":"Abstrak Banyaknya kebutuhan dari masyarakat yang perlu didukung oleh kebaruan dari teknologi membuat semakin banyak pengembang melakukan inovasi dalam membuat sebuah aplikasi. Salah satu bentuk dari kebaruan teknologi adalah aplikasi pembayaran digital. Saat ini sudah banyak sekali aplikasi pembayaran digital yang ada di Indonesia, salah satunya adalah aplikasi Flip.id. Untuk bersaing dengan aplikasi pembayaran digital lainnya, Flip perlu selalu dikembangkan. Oleh karena itu, tujuan utama pada penelitian ini adalah untuk mengetahui seberapa besar tingkat penerimaan pengguna terhadap aplikasi tersebut dan faktor-faktor apa saja yang dapat mempengaruhi niat pengguna untuk tetap menggunakan aplikasi Flip dalam jangka panjang. Analisa niat pengguna ini akan dilakukan dengan metode Decomposed Theory of Planned Behavior, yang kemudian akan diuji menggunakan software SmartPLS. Dari hasil penelitian yang didapat, diketahui bahwa variabel attitude dan perceived behavioral control memiliki pengaruh terhadap intention to use atau niat pengguna untuk tetap menggunakan aplikasi Flip dalam jangka panjang. Variabel attitude sendiri didukung oleh variabel lain seperti variabel perceived ease of use, perceived usefulness dan playfulness, sementara variabel perceived behavioral control didukung oleh variabel resource facilitating condition, self-efficacy dan technology facilitating condition. Adapun variabel lain yang tidak mempengaruhi variabel intention to use antara lain adalah variabel compatibility, subject norm, superior's influence dan peer influence.","PeriodicalId":32367,"journal":{"name":"Sistemasi Jurnal Sistem Informasi","volume":"8 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78497497","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Mediation Effect of Trust on the Success Gofood Partners in Utilizing Gobiz Application","authors":"Bayu Prabu","doi":"10.32520/stmsi.v11i1.1489","DOIUrl":"https://doi.org/10.32520/stmsi.v11i1.1489","url":null,"abstract":"","PeriodicalId":32367,"journal":{"name":"Sistemasi Jurnal Sistem Informasi","volume":"33 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78948954","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Analysis of Social Media Users Sentiments against Omnibus Law Based on Hashtags on Twitter","authors":"Okta Fanny, Heri Suroyo","doi":"10.32520/stmsi.v11i1.1685","DOIUrl":"https://doi.org/10.32520/stmsi.v11i1.1685","url":null,"abstract":"From the research that has been done, it can be concluded that Sentiment Analysis can be used to know the sentiment of the public, especially Twitter netizens against omnibus law. After the sentiment analysis, it looks neutral artmen with the largest percentage of 55%, then positive sentiment by 35% and negative sentiment by 10%. The results of the analysis showed that the Naïve Bayes Classifier method provides classification test results with accuracy in Hashtag Pro with an average accuracy score of 92.1%, precision values with an average of 94.8% and recall values with an average of 90.7%. While Hashtag Counter For data classification, with an average accuracy value of 98.3%, precision value with an average of 97.6% and recall value with an average of 98.7%. The result of text cloud analysis conducted on a combination of hashtags both Hashtag pros and Hashtags cons, the dominant word appears is Omnibus Law which means that all hashtags in scrap is really discussing the main topic that is about Omnibus Law","PeriodicalId":32367,"journal":{"name":"Sistemasi Jurnal Sistem Informasi","volume":"2 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76841923","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Ahmad Ikhsan, Farrel Arrizal, Angelica Cintya Mannuela Wibowo, Nur Aini Rakhmawati
{"title":"The Effect of Bot Accounts on Community Toward Online Loans on Twitter","authors":"Ahmad Ikhsan, Farrel Arrizal, Angelica Cintya Mannuela Wibowo, Nur Aini Rakhmawati","doi":"10.32520/stmsi.v11i1.1657","DOIUrl":"https://doi.org/10.32520/stmsi.v11i1.1657","url":null,"abstract":"","PeriodicalId":32367,"journal":{"name":"Sistemasi Jurnal Sistem Informasi","volume":"9 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87036363","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Melisa Winda Pertiwi, Mira Kusmira, Rezkiani Rezkiani, Bambang Kelana Simpony, Yanti Apriyani, I. D. Iskandar, T. Wibisono, I. Amirulloh
{"title":"Naïve Bayes Classification Model for the Producer Price Index Prediction","authors":"Melisa Winda Pertiwi, Mira Kusmira, Rezkiani Rezkiani, Bambang Kelana Simpony, Yanti Apriyani, I. D. Iskandar, T. Wibisono, I. Amirulloh","doi":"10.32520/stmsi.v11i1.1669","DOIUrl":"https://doi.org/10.32520/stmsi.v11i1.1669","url":null,"abstract":"Producer Price Index is an index number that describes the level of price change at the producer level. Data users can take advantage of the development of producer prices as an early indicator of wholesale and retail prices. In addition, it can also be used to assist in the preparation of the economic balance, distribution of goods, trade margins, and so on. Every year the Badan Pusat Statistika (BPS) updates data on the producer price index to facilitate producer price standards, including rice and grain producers. To determine the Price Prediction Index, a prediction algorithm is needed, namely Naive Bayes based on data from Quarters I and II of 2021. The Naïve Bayes Algorithm, can be used to predict the Producer Price Index. This prediction is made to provide an overview of Quarter III, considering that in 1 year BPS updates the Producer Price Index’s data up to Quarter IV in 1 year. The prediction obtained is an increase for Quarter III with a maximum value between 0.961 – 0.980 based on data from Quarters I and II.","PeriodicalId":32367,"journal":{"name":"Sistemasi Jurnal Sistem Informasi","volume":"4 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82951768","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Monitoring Elementary School Students Achievement using Android-based RESTful Web Service","authors":"Ilham Yuslin Anugrah, R. Akbar, A. Rahmatulloh","doi":"10.32520/stmsi.v11i1.1573","DOIUrl":"https://doi.org/10.32520/stmsi.v11i1.1573","url":null,"abstract":"There are still many elementary schools that have not implemented an information system for processing student grades online because of the assumption that this is still not needed, even though in fact the use of computerized information systems can help schools in improving the academic process to be more effective and efficient. Information systems with web-based applications that are now often found still have shortcomings, namely the mobility of their use is still lacking compared to Android-based applications which are now easier to use and access anywhere. The use of web applications as a means for teachers to input values as well as an android application as a means for parents to be able to monitor their children's academic scores is considered to be the most appropriate solution in implementing this information system, but differences in platforms between Android and the web make it difficult for data to be integrated with each other. Therefore we need an interoperability system in order to integrate applications from different platforms. Then an android based academic score monitoring application was made with RESTful web service. The selection of the RESTful web service system itself is because this system applies the concept of a client server where the server to be created is a web-based application that is used by the school to input student grades, and the client application is an android application intended for parents / guardians of students to get information regarding the value of his child. The output of this research is an application system for monitoring the academic scores of elementary school students by implementing the RESTful web service system in its application as well as the results of the application testing questionnaire based on the usability aspect of the application with the final result of the application eligibility percentage of 87%.Keywords: Monitoring Student Values, Platforms, Information Systems.","PeriodicalId":32367,"journal":{"name":"Sistemasi Jurnal Sistem Informasi","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84842566","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Analysis of the Platform E-Learning Utilization on DSS05 Domain Using the COBIT 5 Framework at Private Universities in Riau Archipelago","authors":"U. Afifah","doi":"10.32520/stmsi.v11i1.1679","DOIUrl":"https://doi.org/10.32520/stmsi.v11i1.1679","url":null,"abstract":"","PeriodicalId":32367,"journal":{"name":"Sistemasi Jurnal Sistem Informasi","volume":"101 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77420008","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Big Data Infrastructure Design Optimizes Using Hadoop Technologies Based on Application Performance Analysis","authors":"S. Shafiyah, Ahmad Ahsan, Rengga Asmara","doi":"10.32520/stmsi.v11i1.1510","DOIUrl":"https://doi.org/10.32520/stmsi.v11i1.1510","url":null,"abstract":"Big data's infrastructure is a technology that provides the ability to store, process, analyze, and visualize large data. The tools and applications used are one of the challenges when building big data's infrastructure. In the study, we offered a new strategy to optimize big data infrastructure design that was an essential part of big data processing by performing performance analysis applications used at each stage of big data processing. The process started from collecting data sourcing online news using web crawler methods using Scrapyand Apache Nutch. Next, implement Hadoop technologies to facilitate the distribution of big data storage and computing. No-sql databases Mongo DB and HBase made it easier to query data, after which they built search engines using Elasticsearch and Apache Solr. Data saved later in analysis using hive apache, pig, and spark. The data has been analyzed was shown on the website using Zeppelins, Metabolase, Kibana, and Tableau. The test scenario consisted of the number of servers and files used. Testing parameters started from process speed, memory usage, CPU usage, throughput, etc. The performance testing results of each application were compared to and analyzed to see the merits and defaults of the application as a reference to building optimal infrastructure design to meet the needs of the user. This research has SISTEMASI: Jurnal Sistem Informasi ISSN:2302-8149 Volume 11, Nomor 1, Januari 2022: 55-72 e-ISSN:2540-9719 http://sistemasi.ftik.unisi.ac.id 56 produced two big data infrastructure design alternatives. The suggested infrastructure has been implemented on computer nodes in the big data pens for processing big data from online media and proving to be running well.","PeriodicalId":32367,"journal":{"name":"Sistemasi Jurnal Sistem Informasi","volume":"26 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78267984","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Abdi Rahim Damanik, Dedy Hartama, Irfan Sudahri Damanik
{"title":"Prediction of Mortlity Rate in Indonesia due to Covid-19 Using the Naïve Bayes Algorithm","authors":"Abdi Rahim Damanik, Dedy Hartama, Irfan Sudahri Damanik","doi":"10.32520/stmsi.v11i1.1519","DOIUrl":"https://doi.org/10.32520/stmsi.v11i1.1519","url":null,"abstract":"","PeriodicalId":32367,"journal":{"name":"Sistemasi Jurnal Sistem Informasi","volume":"7 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75352523","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Edwanda Arisandy, Rizki Qoriah, Sausan Hidayah Nova, Hanif Prasetyo Bhakti Adi Nugroho, E. Sediyono, A. P. Widodo
{"title":"Implementation of B2B E-Commerce in the Enterprise Market","authors":"Edwanda Arisandy, Rizki Qoriah, Sausan Hidayah Nova, Hanif Prasetyo Bhakti Adi Nugroho, E. Sediyono, A. P. Widodo","doi":"10.32520/stmsi.v11i1.1490","DOIUrl":"https://doi.org/10.32520/stmsi.v11i1.1490","url":null,"abstract":"E-commerce is an online sales system that allows the process of purchasing goods and services via the internet in various business fields, including business-to-business (B2B). B2B or Business-toBusiness is an electronic transaction that occurs between one business and another, in which the sale of products provided by a business is intended for another business. This study aims to discuss marketing technology in the corporate market, especially in the B2B section. The method used in this study is a Systematic Literature Review (SLR) on papers regarding the implementation of Enterprise Resource Planning (ERP) planning which has the potential to significantly complement the use of business-to-business e-commerce technology. There are three Research Questions (RQ) set in this study. The results obtained from this study indicate that the potential presence of an ERP system effectively impacts the future economic development-based transaction costs associated with B2B ecommerce technology, while additional planning to ensure that the implementation of B2B ecommerce ERP is supported by incentives related to transaction-based communication costs savings.","PeriodicalId":32367,"journal":{"name":"Sistemasi Jurnal Sistem Informasi","volume":"2013 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88179759","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}