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All Journal Jurnal Algoritma Proceeding of International Conference Health, Science And Technology (ICOHETECH) Prosiding Seminar Nasional Teknologi Informasi dan Bisnis
Wahyu Pamekas, Bondan
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Engineering Health Professions Industrial & Manufacturing Engineering Mechanical Engineering Medicine & Pharmacology Physics

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The Influence of Motion Graphics on User Experience in Interactive Media Wahyu Pamekas, Bondan; Irawan, Nico
Proceeding of the International Conference Health, Science And Technology (ICOHETECH) 2024: Proceeding of the 5th International Conference Health, Science And Technology (ICOHETECH)
Publisher : LPPM Universitas Duta Bangsa Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47701/icohetech.v5i1.4238

Abstract

The influence of Motion graphics on the user experience within interactive media, nevertheless, is less clear. User engagement, information retention and satisfaction in interactive media. An evaluation of the impact of motion graphics The study was conducted with an experimental technique having two category users one is containing motion graphics and second without them, we collect data from questionnaire n behavioural analysis. The results of this research showed that the average time span for interaction (interaction time) using motion graphics in Interactive Media was 18.86 minutes better than those who did not use it where they get a value of 12.71 minutes The motion graphics group retained information at a rate of 86.43%, compared to the other cluster without any frames, which was just 65.14%. The user satisfaction was also better, with an average score of 8.71 in the group with motion graphics than it is for 6.57 without animation. Motion Graphics is a key factor which together increases user engagement, information retention and satisfaction.
Rekomendasi Pengembangan Sumber Daya Manusia UMKM Kuliner Dalam Ekosistem E-Commerce Digital Maulindar, Joni; Ichsan Pradana, Afu; Hartanti, Dwi; Wahyu Pamekas, Bondan
Prosiding Seminar Nasional Teknologi Informasi dan Bisnis Prosiding Seminar Nasional Teknologi Informasi dan Bisnis (SENATIB) 2025
Publisher : Fakultas Ilmu Komputer Universitas Duta Bangsa Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47701/ct23j021

Abstract

Transformasi digital UMKM kuliner masih menghadapi tantangan pada aspek pengembangan sumber daya manusia (SDM) yang belum merata. Penelitian ini bertujuan untuk mengelompokkan karakteristik SDM UMKM kuliner dalam ekosistem e- commerce digital menggunakan pendekatan data-driven. Metode penelitian yang digunakan adalah pendekatan kuantitatif dengan teknik analisis klaster K-Means terhadap 100 data responden. Hasil penelitian menunjukkan terbentuknya enam klaster dengan karakteristik yang berbeda. Klaster 0 memiliki tingkat literasi digital, pelatihan, dan dukungan manajerial yang rendah. Klaster 1 unggul dalam pemahaman e-commerce dan dukungan manajerial, namun lemah dalam TI operasional. Klaster 2 menunjukkan kekuatan pada TI operasional, tetapi rendah pada literasi dan manajerial. Klaster 3 cukup seimbang dalam berbagai aspek, namun masih lemah pada sisi manajerial. Klaster 4 aktif dalam pelatihan, tetapi memiliki kendala pada akses infrastruktur. Klaster 5 memiliki skor tinggi di hampir semua variabel, menunjukkan kesiapan sebagai UMKM digital champion. Temuan ini menunjukkan pentingnya strategi intervensi yang disesuaikan untuk pengembangan SDM berbasis klaster.
The Influence of Motion Graphics on User Experience in Interactive Media Wahyu Pamekas, Bondan; Irawan, Nico
Proceeding of the International Conference Health, Science And Technology (ICOHETECH) 2024: Proceeding of the 5th International Conference Health, Science And Technology (ICOHETECH)
Publisher : LPPM Universitas Duta Bangsa Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47701/icohetech.v5i1.4238

Abstract

The influence of Motion graphics on the user experience within interactive media, nevertheless, is less clear. User engagement, information retention and satisfaction in interactive media. An evaluation of the impact of motion graphics The study was conducted with an experimental technique having two category users one is containing motion graphics and second without them, we collect data from questionnaire n behavioural analysis. The results of this research showed that the average time span for interaction (interaction time) using motion graphics in Interactive Media was 18.86 minutes better than those who did not use it where they get a value of 12.71 minutes The motion graphics group retained information at a rate of 86.43%, compared to the other cluster without any frames, which was just 65.14%. The user satisfaction was also better, with an average score of 8.71 in the group with motion graphics than it is for 6.57 without animation. Motion Graphics is a key factor which together increases user engagement, information retention and satisfaction.
Optimalisasi Akurasi Model Identifikasi Penyakit Pada Daun Padi Dengan Fine-Tuning YOLOv11 Untuk Ketahanan Pangan Berkelanjutan Harsanto; Pradana, Afu Ichsan; Wahyu Pamekas, Bondan
Jurnal Algoritma Vol 22 No 2 (2025): Jurnal Algoritma
Publisher : Institut Teknologi Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33364/algoritma/v.22-2.2945

Abstract

Rice is one of Indonesia's main food commodities, whose productivity often declines due to leaf disease. Early detection of rice leaf disease is an important aspect of maintaining sustainable food security. This study aims to optimize the accuracy of early identification of rice leaf disease by fine-tuning the YOLOv11 model. The research stages included dataset collection, annotation, data preprocessing, data augmentation, model training, fine-tuning, and model performance evaluation. The results showed an improvement in model performance after fine-tuning, with the overall recall value increasing from 0.760 to 0.788 and mAP from 0.764 to 0.785. The confusion matrix also shows a more stable prediction distribution in the fine-tuned model compared to the initial model. Thus, fine-tuning YOLOv11 has proven to be effective in improving the accuracy of early identification of rice leaf diseases and has the potential to support the application of artificial intelligence in the agricultural sector to strengthen food security in Indonesia.
Co-Authors Dwi Hartanti Harsanto Ichsan Pradana, Afu Maulindar, Joni Nico Irawan Pradana, Afu Ichsan