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All Journal Semantik JSI: Jurnal Sistem Informasi (E-Journal) Jurnal Teknologi Informasi dan Ilmu Komputer Jurnal Sosioteknologi Jurnas Nasional Teknologi dan Sistem Informasi JOIV : International Journal on Informatics Visualization Jurnal Komputer Terapan Seminar Nasional Teknologi Informasi Komunikasi dan Industri Dinamisia: Jurnal Pengabdian Kepada Masyarakat Jurnal Teknologi Informasi dan Pendidikan Proceeding Applied Business and Engineering Conference Proceeding International Applied Business and Engineering Conference JITER-PM (Jurnal Inovasi Terapan - Pengabdian Masyarakat) Jurnal INFOTEL Science, Technology, and Communication Journal
Yohana Dewi Lulu Widyasari
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Pengembangan dan Penerapan Sistem Persuasif pada E-learning : Aspek Perceived System Credibility dan Social Influence Mupti, Vanya Anjani; Widyasari, Yohana Dewi Lulu; Lestari, Indah
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 7 No 3: Juni 2020
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jtiik.2020731014

Abstract

E-learning merupakan media pembelajaran untuk membantu proses belajar. Pemanfaatan e-learning masih belum maksimal dalam penggunaannya sebagai media pembelajaran. Hasil pra riset sebesar 61,7% menyukai penggunaan media sosial sebagai media pembelajaran dibandingkan e-learning. Hal ini dikarenakan diterapkannya teknologi web 2.0 yang berfokus kepada proses pertukaran informasi dan adanya interaksi pengguna di dalam sistem. Untuk membuat e-learning yang berfungsi seperti web 2.0, maka pada peneitian ini dirancang sebuah e-learning dengan menerapkan konsep persuasive aspek perceived system credibility dan social influence untuk dapat meningkatkan fungsi komunikasi dan interaksi pada e-learning. Perceived system credibility merupakan gambaran perancangan suatu sistem supaya dapat lebih dipercaya, sedangkan social influence merupakan gambaran sistem yang dapat memotivasi pengguna dalam memanfaatkan pengaruh sosial. Pada penerapannya untuk aspek perceived system credibility terletak pada fitur tooltip, sedangkan penerapan aspek social influence terletak pada fitur chat, komentar, memberikan emotion selamat, serta melihat pengguna yang sedang online secara bersamaan. Hasil pengujian fungsional menunjukkan fungsi pada e-learning sudah sesuai dengan yang diharapkan. Hasil dari pengujian usabilitas sebesar 76,46% menyatakan bahwa e-learning sudah komunikatif, efektif, dan efisien diukur dari penggunaan e-learning yang dapat memberikan manfaat, pengguna dapat saling berinteraksi pada e-learning dan memberikan dampak positif dalam proses belajar yang dilakukan. AbstractE-learning is a learning intermediary that is used to help the learning process. The use of e-learning is still not maximal in its use. Pre-research results of 61.7% liked the use of social media as a learning medium compared to e-learning. This is due to the implementation of web 2.0 technology that focuses on the process of information exchange and the existence of user interactions within the system. To make e-learning function like web 2.0, in this final project an e-learning was designed by applying persuasive concepts using perceived system credibility and social influence aspects to improve communication and interaction functions in e-learning. Perceived system credibility is a description of the design of a system so that it more credible or trustworthy, while social influence is a system description that can motivate users to utilize social influence. In this system, the feature of the perceived system credibility is tooltip. And the features of the social influence are chat, comment, give emotion, and see online user. Functional testing results indicate the function of e-learning is as expected. Usability testing of 76.46% state that e-learning is communicative, effective, and efficient measured by the use of e-learning that can provide benefits, users can interact with e-learning and have a positive impact on the learning process undertaken.
Modeling and Application of Credit Scoring Based on A Multi-Objective Approach to Debtor Data in PT. Bank Riau Kepri Sugianto, -; Widyasari, Yohana Dewi Lulu; Wardhani, Kartina Diah Kusuma
JOIV : International Journal on Informatics Visualization Vol 8, No 1 (2024)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/joiv.8.1.1493

Abstract

The development of information technology in Indonesia, marked by the start of Industry 4.0, is very rapid. With the development of technology, many companies use technology to develop their business, one of which is banking, which analyses the process of prospective customers. New employees find it challenging to interpret and tend to agree more easily with prospective customers because they only see the fulfillment of general requirements. This research aims to find an overview of the primary and additional factors to analyze prospective credit customers using The Cross-Industry Standard Process for Data Mining (CRISP-DM). Develop a model in this study using data variables of prospective customers in health insurance as a moderating variable. This model tested the Decision Tree algorithm with an accuracy value of 92.49%, the Random Forest with an accuracy value of 81.72%, the Support Vector Machine (SVM) with an accuracy value of 91.25%, and K-Nearest Neighbor (K-NN) with an accuracy value. 90.58%, Gradient Boosting with an accuracy value of 90.69%, and XGBoost with an accuracy value of 93.27%. The algorithm uses a cross-validation technique at the validation stage by changing the K value to 2, 4, 6, 8, and 10. The results show that the XGBoost Algorithm accuracy is 93.27% with a K value of 8. As the highest model accuracy, this model was implemented using the XGBoost Algorithm.
Investigation of Mobile Cloud Storage Adoption Factors in Higher Education Najwa, Nina Fadilah; Widyasari, Yohana Dewi Lulu; Trisnadoli, Anggy
JOIV : International Journal on Informatics Visualization Vol 7, No 3 (2023)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30630/joiv.7.3.1296

Abstract

Mobile cloud storage provides benefits for educational institutions. Several researchers have researched cloud computing adoption, but only a few studies related to how users experience using Personal Cloud Storage Services. This research aims to investigate the adoption of the mobile cloud storage factors following the theory, as well as research that has been previously proven related to user interest in using mobile cloud storage among higher education students. This quantitative research uses data analysis techniques using GSCA to prove the theory and achieve the research goals. The research methodology consists of five main stages, namely the stage of model development and research design, the stage of preparing the instrument and its measurement, the stage of testing the instrument, the stage of survey and results, as well as the stages of analysis and discussion as well as conclusions. Five variables are investigated in this research: knowledge sharing, perceived usefulness, attitude toward using a system, trust, and intention to use. The results of hypothesis testing were conducted using GSCA; three proposed hypotheses were accepted, and one was rejected. The variables the research model can explain are 68%, and the remaining 32% are other variables not used in this study. The characteristics of respondents can provide several ways to increase the adoption of mobile cloud computing by linking research results from inferential analysis and descriptive analysis. Future research can focus on extracting these variables through user interviews regarding students' intentions to use mobile cloud computing.
Co-Authors - Sugianto Abiyyu Taufiq Ramadhan Akbar, Memen Amelia Rahmadhani Anggy Trisnadoli Ardianto Wibowo Cakra Ramadhana Dadang Syarif Sihabudin Sahid Delfi Angela Delfi Angela, Delfi disha rahmatya Elza, Sari Fauzia Fitrianti Heni Rachmawati Indah Lestari Indah Lestari, Indah Juni Nurma Sari Juni Nurma Sari Kartina Diah K. W. Kasna, Sinria Khairul Umam Syaliman Lisa Chandra Muhammad mahrus zain Muluk, Imelda Mupti, Vanya Anjani mutia sari zulvi Najwa, Nina Fadilah Puja Hanifah Rahmatya, Disha Rangga, Adityapati Ridar Rusdi Rifando Panggabean Rika Perdana Sari, Rika Perdana Riska Amelia Rizkyana Rizkyana Satria Perdana Arifin Sinria Kasna Sri Yastita sugianto Syefrida Yulina Syefrida Yulina, Syefrida Wardhani, Kartina Diah Kusuma Wawan Yunanto Yuli Fitrisia