Article Per Year (5 Year)
p-Index From 2020 - 2025
0.882
P-Index
This Author published in this journals
All Journal Jurnal Ekonomi, Teknologi dan Bisnis Jurnal Sains dan Ilmu Terapan Jurnal Akademik Pengabdian Masyarakat Svarga Pena: Jurnal Pengabdian Kepada Masyarakat International Journal of Information Technology and Business
Rifki Dwi Kurniawan
Unknown Affiliation
Agriculture, Biological Sciences & Forestry Humanities Astronomy Computer Science & IT Economics, Econometrics & Finance Education Engineering Industrial & Manufacturing Engineering Mechanical Engineering Social Sciences

Published : 5 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 5 Documents
Search

 1 
Tinjauan Pustaka Sistematis: Penerapan Multimedia Dalam Pengembangan Media Pembelajaran Gunawan Gunawan; Maezun Nafis Marzuqi; Nugroho Adhi Santoso; Rifki Dwi Kurniawan
Jurnal Ekonomi Teknologi dan Bisnis (JETBIS) Vol. 1 No. 1 (2022): JETBIS : Journal Of Economics, Technology and Business
Publisher : Al-Makki Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (2376.136 KB) | DOI: 10.57185/jetbis.v1i1.5

Abstract

Media adalah sesuatu yang menyalurkan pesan atau perantara pesan. Sedangkan media pembelajaran adalah perangkat yang menyampaikan pesan-pesan pembelajaran. Tujuan dari penelitian ini sendiri adalah untuk mengkaji dan membandingkan jurnal penelitian yang berbeda, apakah penerapan multimedia sebagai media pembelajaran akan membuat pembelajaran lebih efektif dan mempengaruhi hasil belajar. Metode yang saya gunakan adalah Systematic Literature Review (SLR), jurnal yang akan dianalisis adalah jurnal yang berkaitan dengan penerapan multimedia dalam pengembangan media pembelajaran. Pertama-tama, penelitian ini terlebih dahulu mengumpulkan jurnal-jurnal yang berhubungan dengan penelitian saya. Hasil akhir dari penelitian ini diperoleh bahwa penerapan multimedia dalam media pembelajaran menunjukkan dapat difungsikan dengan hasil yang efektif dan berpengaruh positif terhadap pembelajaran.
Penerapan Aplikasi Pelayanan Masyarakat Desa (Studi Kasus: Desa Tonggara Kecamatan Kedungbanteng Kabupaten Tegal) Aang Alim Murtopo; Zaenul Arif; Bangkit Indarmawan Nugroho; Nugroho Adhi Santoso; Sarif Surorejo; Bayu Aji Santoso; Syefudin; Gunawan; Wresti Andriani; Rifki Dwi Kurniawan
JURNAL AKADEMIK PENGABDIAN MASYARAKAT Vol. 2 No. 4 (2024): Juli : Jurnal Akademik Pengabdian Masyarakat
Publisher : CV. KAMPUS AKADEMIK PUBLISING

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61722/japm.v2i4.2209

Abstract

The implementation of the Community Service Application in Tonggara Village, Kedungbanteng District, Tegal Regency aims to simplify and speed up the community service process. This application is web-based and can be accessed by the public via computer, smartphone or tablet devices. Some of the services available in this application include providing information about village profiles, village potential, and village programs. The Village Community Services Application can process various village administration services, such as domicile certificates, business certificates and trade business permits. The Village Community Services Application provides a platform for the community to submit complaints to the village government, providing consultation services for the community regarding various matters, such as health, education and law. The implementation of this application is expected to increase the effectiveness and efficiency of community services in Tonggara Village. Apart from that, this application is also expected to increase the transparency and accountability of the village government to the community. The benefits of implementing the Village Community Service Application in Tonggara Village have several benefits, including increasing the effectiveness and efficiency of community services, making the community service process faster, easier and more transparent. Increasing transparency and accountability of village governments, communities can easily access information about available services and monitor village government performance. Increasing community satisfaction, people feel more satisfied with the services provided by the village government. Increasing community participation, it is easier to get involved in village activities. Implementing the community service application in Tonggara Village is the right step to improve the quality of public services in the village. This application can help village governments to provide more effective, efficient, transparent and accountable services to the community.
Character Building : Pentingnya Literasi Digital dan Kesehatan Reproduksi Remaja untuk Membentuk Siswa Kelas XI Hebat Nugroho Adhi Santoso; Bangkit Indarmawan Nugroho; Sarif Surorejo; Aang Alim Murtopo; Rifki Dwi Kurniawan; Syefudin Syefudin; Zaenul Arif; Bayu Aji Santoso
Svarga Pena : Jurnal Pengabdian Kepada Masyarakat Vol. 1 No. 4 (2024): Desember : Svarga Pena : Jurnal Pengabdian Kepada Masyarakat
Publisher : Universitas Veteran Bangun Nusantara Sukoharjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/svargapena.v1i4.71

Abstract

The abundance of information available in the digital world makes it difficult for students to sort out what is true and relevant. Many teenagers get information about reproductive health from unreliable sources or even myths. The lack of good role models can make teenagers lose their way. Equip students with the skills to evaluate information, think critically, and use technology responsibly. Grade XI students are at a critical stage of development. They are starting to form their identity, make more independent decisions, and prepare themselves for the future. Therefore, providing digital literacy and understanding of reproductive health at this age is very important to form a strong character. Students can understand how digital literacy and knowledge of reproductive health affect adolescent character, and can evaluate the effectiveness of character building programs that integrate digital literacy and reproductive health.
Prediksi Nilai Akhir Semester Siswa Menggunakan Algoritma Random Forest Slamet Kusworo; Nugroho Adhi Santoso; Rifki Dwi Kurniawan
Jurnal Sains dan Ilmu Terapan Vol. 7 No. 2 (2024): Jurnal Sains dan Ilmu Terapan
Publisher : Politeknik Kampar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59061/jsit.v7i2.918

Abstract

Students' end-of-semester grades show the results of the learning process that has been carried out for 1 semester, therefore accurate evaluation is very important to determine the extent to which learning objectives have been achieved properly. This research aims to create an appropriate prediction model to project students' final semester grades before the assessment period so that it can help teachers to identify at-risk students and provide appropriate treatment. This research uses the random forest algorithm and uses a dataset of student grades. The Random Forest model was successfully obtained through training and model evaluation using test data, showing an accuracy of 93.33%. The use of the random forest algorithm to predict students' final semester grades can be the right way to produce high accuracy for the benefit of educators in handling their students.
GoPay App Review Sentiment Classification Optimization Using a Combination of Text Representation and Machine Learning Rifki Dwi Kurniawan
International Journal of Information Technology and Business Vol. 6 No. 2 (2024): April: International Journal of Information Technology and Business
Publisher : Universitas Kristen Satya Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24246/ijiteb.622024.31-36

Abstract

GoPay as one of the digital payment applications in Indonesia faces challenges in understanding user perceptions in the midst of fierce competition. This study aims to develop a user review sentiment analysis model by comparing two approaches to text representation, namely TF-IDF and BERT, as well as two machine learning algorithms, namely Random Forest and Logistic Regression. Review data is obtained from the Google Play Store and processed through pre-processing, feature extraction, and sentiment modeling. The results showed that the combination of BERT + Logistic Regression provided the best performance with an F1 Score of 0.86, showing the superiority of BERT in understanding the semantic context compared to TF-IDF. An important feature analysis identifies financial-related words such as "duitnyaapakah" and "kompensasi" as key issues. This research makes a practical contribution by helping app developers improve the user experience through prioritizing relevant features and solutions to key problems complained of.
Co-Authors Aang Alim Murtopo Bangkit Indarmawan Nugroho Bayu Aji Santoso Gunawan Gunawan Gunawan Maezun Nafis Marzuqi Nugroho Adhi Santoso Sarif Surorejo Slamet Kusworo Syefudin Syefudin Syefudin Wresti Andriani Zaenul Arif