Interactive M-Learning Design Innovation using Android-Based Adobe Flash at WFH (Work From Home)

Voutama, Apriade; Maulana, Iqbal; ade, Nofri; Rizal, Adhi

doi:10.15294/sji.v8i1.27880

Cited by 6 publications

(5 citation statements)

References 18 publications

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“…Kegiatan yang dilakukan sebelum penelitian adalah penyelidikan atau pencarian suatu fakta dengan teliti sesuai metode tertentu agar dapat menjelaskan dan menjawab suatu permasalahan [17]. Pada Gambar 1 merupakan tahap metode penelitian eksperimen, serta metodologi CRISP-DM yang akan dijelaskan sebagai berikut:…”

Section: Metode Penelitianunclassified

Analisis Text Mining Klasifikasi Kegiatan Keluarga menggunakan Orange dengan Metode Naive Bayes

Fathiarahma,

Voutama,

Ridwan

et al. 2023

j. teknologi terpadu

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Abstrak Peran ganda yang dilakukan oleh wanita kerap kali menimbulkan konflik dalam keluarga. Konflik dapat terjadi karena kurangnya peran keluarga dalam membantu keseimbangan antara pekerjaan di rumah dan kantor yang dialami oleh para wanita karir sekaligus ibu. Algoritma Naïve Bayes dipergunakan pada penelitian ini dengan tujuan untuk mengetahui hasil penerapan klasifikasi algoritma Naïve Bayes berdasarkan peran, aktivitas, umur dan minat dalam sebuah keluarga. Sejumlah 287 data record yang dihasilkan dari survei dipergunakan dalam penelitian ini dan dilakukan split data 80:20 untuk data training dan data testing dengan menggunakan tools orange data mining. Hasil penelitian menampilkan bahwa akurasi perhitungan dengan algoritma Naïve Bayes mencapai 93% dengan kesimpulan bahwa penggunaan tools orange data mining menghasilkan akurasi yang baik.

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Section: Metode Penelitianunclassified

Analisis Text Mining Klasifikasi Kegiatan Keluarga menggunakan Orange dengan Metode Naive Bayes

Fathiarahma,

Voutama,

Ridwan

et al. 2023

j. teknologi terpadu

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“…Then to determine how and when the designed elements appear, we can use the Timeline to organize them. Adobe Flash Professional CS 6 also has components, namely, Menu Bar, Toolbox, Timeline Panel, Stage, Properties Panel, Actions Panel, Color Panel and Library Panel (Ilmi, et al, 2021;Voutama, et al, 2021).…”

Section: Literature Review a Adobe Flash Csmentioning

confidence: 99%

Applications Know Preparation for Earthquakes for Elementary School Students

Wijaya

Putri

Hermansyah

et al. 2022

JAETS

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This research is entitled the application of recognizing preparation for earthquakes for elementary school students. The goal is to produce an application that can help students recognize preparation for earthquakes. The resulting application is made using Adobe Flash CS 6, and the Actionscript 3 programming language. This application can run well on Android smartphones, and personal computers/laptops. There were 20 students who were the subjects of this study, and they came from elementary schools Negeri 105270 Pujimulio, Deli Serdang, North Sumatra. Students who are tested beforehand (pre-test) their knowledge about preparation in dealing with earthquakes. After that students are asked to use the resulting application. After that, students are tested again for their knowledge (post test). So from the pre test and post test carried out, get test results that show an increase in students' knowledge in learningknow how to prepare for an earthquake.

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“…Interactive learning has become important tool, especially after the Covid 19 pandemic era [1]. Serious game has been widely considered to be a potential interactive learning tool.…”

Section: Introductionmentioning

confidence: 99%

Fuzzy Smart Reward for Serious Game Activity Design

Haryanto

Rosyidah

Kardianawati

et al. 2023

SJI

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Purpose: Serious game has been widely considered to be a potential learning tool, due to its main advantage to provide a fun experience in learning. The experience is supported mainly by in-game activities, where feedback is given in the form of rewards. However, rewards often don't work well due to various factors, for example, rewards are always the same, so they are monotonous. We use Appreciative Learning as underlying concept for activity design and fuzzy logic to create the reward behavior, called Fuzzy Smart Reward.Methods: We use Appreciative Learning as underlying concept for activity design and fuzzy logic to create the reward behavior. Appreciative Learning activities consists of Discovery, Dream, Design and Destiny. We propose fuzzy-based smart reward for those activities. The smart reward takes player achievement in each activity as input for the fuzzy inference system and give the dynamic reward as output.Result: A game prototype is developed as a test subject. The result shows that the smart reward could dynamically adjust the reward based on game conditions and player performance. Test conducted using Game Experience Questionnaire get the score 3.3 out of 4.Novelty: There aren't many studies on dynamic rewards in structured reward systems; the majority of studies remove dynamic rewards from reward systems. In our research, a "smart reward" is a dynamic reward in a structured reward system that is created using artificial intelligence and is based on activities for appreciative learning. The use of Fuzzy Logic for structured reward behavior is also very rare.

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Interactive M-Learning Design Innovation using Android-Based Adobe Flash at WFH (Work From Home)

Cited by 6 publications

References 18 publications

Analisis Text Mining Klasifikasi Kegiatan Keluarga menggunakan Orange dengan Metode Naive Bayes

Analisis Text Mining Klasifikasi Kegiatan Keluarga menggunakan Orange dengan Metode Naive Bayes

Applications Know Preparation for Earthquakes for Elementary School Students

Fuzzy Smart Reward for Serious Game Activity Design

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