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All Journal Telematika Journal of Applied Data Sciences International Journal for Applied Information Management
Taqwa Hariguna
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Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Environmental Science Social Sciences

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DONGENG AYAM DAN KELINCI BERSAUDARA BERBASIS ANIMASI 2 DIMENSI Taqwa Hariguna; Adi Wijiono
Telematika Vol 10, No 1: Februari (2017)
Publisher : Universitas Amikom Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (943.389 KB) | DOI: 10.35671/telematika.v10i1.481

Abstract

Dongeng merupakan cerita yang biasanya berisi tentang khayalan dan mengandung pesan moral tinggi. Namun seiring dengan berkembangnya teknologi, sehingga anak-anak lebih suka melihat sinetron, film, main game, internet. Oleh karena itu orang tua zaman sekarang dituntut untuk bisa bercerita atau mendongeng dengan menarik sekaligus menghibur, agar tidak kalah dengan teknologi dan dunia hiburan yang semakin canggih. Salah satu teknologi yang berkembang yaitu animasi. Sehingga tujuan dari penelitian ini adalah merancang dan membuat Dongeng Ayam Dan Kelinci Bersaudara Berbasis Animasi 2 Dimensi agar dapat menyampaikan pesan moral yang terdapat didalamnya. Animasi ini dibuat dengan menggunakan Adobe Flash Profesional CS6. Metode pengumpulan data yang digunakan adalah studi kepustakaan. Sedangkan metode pengembangan data system yang digunakan adalah Multimedia Development Life Cycle (MDLC) yang terdiri dari tahapan pengonsepan, perancangan, pengumpulan material, pembuatan, pengujian, pendistribusian. Hasil penelitian yang dicapai adalah animasi berupa dongeng ayam dan kelinci bersaudara berbasis animasi 2 dimensi yang dikemas secara menarik sehingga  memiliki fungsi sebagai penyampai pesan moral.
An Empirical Study to Understanding Students Continuance Intention Use of Multimedia Online Learning Taqwa Hariguna
International Journal for Applied Information Management Vol. 1 No. 2 (2021): Regular Issue: July 2021
Publisher : Bright Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/ijaim.v1i2.10

Abstract

The purpose of this study was to assess students' ongoing intentions towards online multimedia learning such as perceived usefulness, ease of use, and flow experience. The sample of this study was 523 students who used off-campus/online learning resources and examined the content of online learning resources and their multimedia aspects. The Extended of Technology Acceptance Model (TAM) was used to predict students' continuing intentions. The results showed that students' intentions were positively influenced by their perceived usefulness, ease of use, and flow experience. It is suggested that the designer of multimedia online learning should be more specific in determining the target users to receive and cultivate a more positive sustainable intention.
Sentiment Unleashed: Electric Vehicle Incentives Under the Lens of Support Vector Machine and TF-IDF Analysis Johan Reimon Batmetan; Taqwa Hariguna
Journal of Applied Data Sciences Vol 5, No 1: JANUARY 2024
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/jads.v5i1.162

Abstract

This research examines public sentiment regarding electric vehicle incentives through sentiment analysis of online comments. These incentives include tax deductions and other financial rewards offered to promote the adoption of electric vehicles. In this study, the researchers collected and analyzed over 1,000 comments from various online platforms to understand the public's perspective on these incentives. The study employs Support Vector Machine (SVM), a powerful machine learning algorithm, as the main method and utilizes Term Frequency-Inverse Document Frequency (TF-IDF) to analyze comment texts. The research findings depict significant variation in public sentiment regarding electric vehicle incentives. Approximately 57.3% of comments express negative sentiment towards these incentives, while 33.2% are positive, and the rest are neutral. There is strong support for these incentives, particularly from a financial standpoint. However, some dissatisfaction is expressed, especially regarding electric vehicle prices and charging infrastructure availability. External factors such as government policies and vehicle prices significantly influence public sentiment. Easy access to charging infrastructure also plays a crucial role in shaping positive sentiment. Environmental issues also contribute to a positive view of electric vehicle incentives. Policy recommendations arising from this research emphasize the need to consider these factors when designing and implementing electric vehicle incentives. Improvement efforts in pricing, infrastructure, and environmental education can help enhance electric vehicle adoption in society. This research provides valuable insights into public sentiment towards electric vehicle incentives and the factors influencing such sentiment. The results can serve as a foundation for better decision-making to support the development of sustainable and environmentally friendly electric vehicles.   
Co-Authors Adi Wijiono Johan Reimon Batmetan