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All Journal International Journal of Quantitative Research and Modeling SisInfo : Jurnal Sistem Informasi dan Informatika Nuansa Informatika Jurnal Bhakti Karya dan Inovatif INTERNAL (Information System Journal)
Elia Setiana
Department Of Informatic, Faculty Of Technology And Informatic, Universitas Informatika Dan Bisnis Indonesia, Bandung, Indonesia.
Humanities Computer Science & IT Decision Sciences, Operations Research & Management Education Engineering Environmental Science Physics Social Sciences Other

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Data Cleansing Strategies on Data Sets Become Data Science Sardjono Sardjono; R. Yadi Rakhman Alamsyah; Marwondo Marwondo; Elia Setiana
International Journal of Quantitative Research and Modeling Vol 1, No 3 (2020)
Publisher : Research Collaboration Community (RCC)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (688.219 KB) | DOI: 10.46336/ijqrm.v1i3.71

Abstract

The digital era very grows up with the increasing using of smartphone and many organization or companies was implemented of a system to support their business. That is who will increase the volume of usage and dissemination of data, neither through open nor closed internet networks. Because there is the need to process large data and how to get it from different store resource, so requirement strategy to process the data according to the rule of good, effective and efficient in activity data cleansing until the data set can be use as mature and very useful information for their business purpose. By using the R languaged who can process large data and has data complexity for the data loaded from different storage resource can be done as well as. To using R languaged maximally, so we have to a basic skill that needed to process the data set which will be used to be data scient for organizations or companies by good data cleansing techniques. In this research on Data Cleansing Strategies on data set owned by organizations,will describe the correct step by step to obtaining data that very useful to be uses as data science for organization so by the data that generated after the data cleansing process is very meaningful and useful for making decisions, other than that this research give basic overview and guide to the beginner all data scientists by doing data cleansing in the way stages and also provides a way to analyze from the result of execution some functions used.
ANALISIS SENTIMEN PELAKSANAAN KULIAH ONLINE MENGGUNAKAN ALGORITMA SUPPORT VECTOR MACHINE Elia Setiana; Marwondo; Venia Retreva Danestiara; Wiyanudin
NUANSA INFORMATIKA Vol. 17 No. 2 (2023): Volume 17 No 2 Tahun 2023
Publisher : FKOM UNIKU

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25134/ilkom.v17i2.11

Abstract

This writing aims to assess the satisfaction of students regarding the implementation of online lectures, categorized into three classes: positive, neutral, and negative. Data collection was conducted using Twint from the social media platform Twitter, with a total of 25,000 tweets. The data processing process to determine sentiment analysis utilized the support vector machine algorithm. With this algorithm, the obtained results show an accuracy rate of 76.86% for positive sentiment. The precision is 0.49, recall is 0.53, and the F1 score is 0.51
Penguatan Profil Pelajar Pancasila dalam Berekayasa dan Berteknologi Melalui Wawasan Software Development pada Peserta Didik SMP Negeri 7 Bandung Budiman Budiman; Elia Setiana; Venia Restreva Danestiara; Valencia Claudia Jennifer Kaunang; Dirham Triyadi
Jurnal Bhakti Karya dan Inovatif Vol 4 No 1 (2024): Jurnal Bhakti Karya dan Inovatif
Publisher : LPPM Universitas Informatika dan Bisnis Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37278/bhaktikaryadaninovatif.v4i1.726

Abstract

Pentingnya wawasan software development atau pemrograman bagi peserta didik dapat memberikan manfaat jangka panjang bagi perkembangan peserta didik dalam berbagai aspek kehidupan. Tujuan untuk memberikan pengetahuan, keterampilan, dan peluang kepada peserta didik untuk berkontribusi dalam memajukan Indonesia melalui pengembangan perangkat lunak. Pemrograman melibatkan pemecahan masalah secara logis dan sistematis. Tahapan-tahapan yang dilakukan dalam kegiatan Pengabdian kepada Masyarakat adalah penjajakan dengan mitra, wawancara, kunjungan langsung untuk melakukan analisa sebagai bahan penyusunan program, koordinasi dengan mitra terkait program yang akan dijalankan, pelaksanaan kegiatan, dan evaluasi. Setelah dilakukan pemaparan materi bentuk evaluasi kegiatan dilakukan dengan post-test, penyebaran pertanyaan sama dengan pertanyaan pada saat pre-test. Hasil Pos-test menunjukkan peningkatan pengetahuan peserta pelatihan rata-rata sebesar 45,6%.
Analisis Sentimen Penggunaan Aplikasi Traveloka di Twitter Menggunakan Model Klasifikasi Tiara Sartina Jayanti; Budiman Budiman; Chairul Habibi; Elia Setiana
SisInfo Vol 6 No 1 (2024): SisInfo
Publisher : Universitas Informatika dan Bisnis Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37278/sisinfo.v6i1.751

Abstract

Traveloka is an online travel platform that provides booking services for transportation tickets, accommodation, tourist attraction entrance tickets, and others. This research will conduct sentiment analysis using five methods and conduct a comparative analysis between these methods. The goal is to find out how to do sentiment analysis and do a comparison analysis and get the best results for Traveloka sentiment analysis on Twitter. This research uses Twitter to get data and only focuses on tweets about Traveloka. Sentiment analysis also provides benefits for Traveloka in monitoring and analyzing user responses to their products and services from reviews and feedback posted by users on social media such as Twitter, Traveloka can gain valuable insights into the strengths and weaknesses of their services. This dataset consists of 85.6% positive sentiments and 14.4% negative sentiments. In this analysis, the library used is Scikitlearn. Five classification methods were used, namely, Random Forest (RF), Support Vector Machine (SVM), Naive Bayes Classifier (NBC), K-Nearest Neighbor (KNN), and XGBOOST. The steps in this research are data crawling, data preprocessing, data weighting, classification, model testing, model evaluation, comparison analysis, and result analysis. The results show that SVM has better accuracy based on metric evaluation with a value of 90%. However, through model testing using AUC, XGBOOST obtained the highest value of 71%.
Peningkatan Kinerja Administrasi Melalui Aplikasi E-Office Ahmad Rizqy Hamdy; Budiman Budiman; Reni Nursyanti; Elia Setiana
SisInfo Vol 6 No 1 (2024): SisInfo
Publisher : Universitas Informatika dan Bisnis Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37278/sisinfo.v6i1.752

Abstract

Agency administration plays an important role in various information services and data management, which often causes a waste of time and energy. Currently, many government agencies and organizations have implemented E-office, FTI (Faculty of Technology and Informatics) as one of the faculty at the University of Informatics and Business Indonesia (UNIBI) also faces challenges in carrying out administrative processes. The purpose of this research is to simplify the administrative process that runs in FTI by designing and building E-Office applications. The design stage uses the Waterfall method with 6 (six) UML (Unified Modeling Language), namely use case, class, package, component, sequence, and activity. The development stage uses the Laravel 10 framework and MySQL. Testing this application using Black-Box Testing. The result of this research is the making of a web-based E-Office application that can simplify the administrative process that runs at FTI.
Analisis Perancangan Sistem Pakar Pola Latihan Untuk Mencapai Body Goals Menggunakan UML Elia Setiana; Budiman Budiman; R. Yadi Rakhman A; M. Rizki Ramadhan
INTERNAL (Information System Journal) Vol. 6 No. 2 (2023)
Publisher : Masoem University

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Technological developments and awareness of the importance of health and physical fitness have encouraged people to look for effective solutions in achieving their desired body goals. Expert systems are one potential approach to assist individuals in designing exercise patterns that suit their goals. This system development method uses UML as a tool for analyzing and designing expert system structures. This expert system will utilize expert knowledge in the fields of fitness and nutrition to provide personalized and effective recommendations. Additionally, integration with technology will allow users to monitor their progress in real-time and receive recommendation updates according to their individual progress.The results of this research are architectural designs consisting of Usecase Diagrams, Activity Diagrams, Class Diagrams, Sequence Diagrams, Deployment Diagrams which can then be used as a reference for creating this expert system application system so that it is hoped that the complete system can become a useful tool and can make a contribution. positive in helping users achieve their body goals with a more focused and effective approach.
Co-Authors Ahmad Rizqy Hamdy Budiman Chairul Habibi Dirham Triyadi M. Rizki Ramadhan Marwondo R. Yadi Rakhman A R. Yadi Rakhman Alamsyah Reni Nursyanti Sardjono Sardjono Tiara Sartina Jayanti Valencia Claudia Jennifer Kaunang Venia Restreva Danestiara Venia Retreva Danestiara Wiyanudin