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All Journal JSAI (Journal Scientific and Applied Informatics) KLIK: Kajian Ilmiah Informatika dan Komputer Harmoni Sosial : Jurnal Pengabdian Dan Solidaritas Masyarakat
Dzalfa Tsalsabila Rhamadiyanti
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Computer Science & IT Education Social Sciences Other

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Analisa Performa Convolutional Neural Network dalam Klasifikasi Citra Apel dengan Data Augmentasi Dzalfa Tsalsabila Rhamadiyanti; Kusrini
KLIK: Kajian Ilmiah Informatika dan Komputer Vol. 5 No. 1 (2024): Agustus 2024
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/klik.v5i1.2023

Abstract

Augmentation is creating new samples from an original dataset by applying small random transformations to the original dataset but retaining its labels. This research applies Data Augmentation to the Convolutional Neural Network model for apple image classification. The apple images used are Braeburn apples which have orange to red skin with a yellow background, Crimson Snow apples which have red skin, and Pink Lady apples with bright pink skin and yellow and green hues. There are 675 apple images used, divided into three classes, each with 225 photos. Four augmentation techniques are applied, namely flipping, cropping, rotation, and noise injection. This research carried out six scenarios, namely without augmentation, using each augmentation technique separately and combining two augmentation techniques, which produced the highest accuracy values. From the six scenarios, it was found that the augmentation technique that produced the best accuracy value was noise injection, namely 98.82%, followed by flipping with an accuracy of 72.78%, then rotation with an accuracy value of 68.64% and an augmentation technique that produced an accuracy value. The lowest is cropping, namely 67.46%. The two best augmentation techniques, noise injection, and flipping, were combined and produced an accuracy value of 84.02%. The accuracy value obtained by this combination could be more optimal due to the effect of noise injection, which can erase consistent changes in orientation from flipping. This needs to be improved so that the model can learn consistent features. It is hoped that future research can maximize the effectiveness of augmentation techniques by choosing augmentation techniques that complement each other and suit the characteristics of the data being processed
Evaluasi Keberhasilan Implementasi Sistem Informasi Perdagangan Daerah Berbasis HOT-Fit dan Technology Acceptance Model Dzalfa Tsalsabila Rhamadiyanti; Aditya Ahmad Fauzi; Fithriawan Nugroho
JSAI (Journal Scientific and Applied Informatics) Vol 9 No 1 (2026): Januari
Publisher : Fakultas Teknik Universitas Muhammadiyah Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36085/jsai.v9i1.9896

Abstract

The Pangkalpinang City Trade Information System (SIPGK) was developed as a digital instrument to support trade data management and data-driven public information services. This study aims to evaluate the implementation success of SIPGK using the Human–Organization–Technology Fit (HOT-Fit) model, with the Technology Acceptance Model (TAM) employed as a complementary interpretative lens. A qualitative evaluative approach was applied through observation, interviews, and system documentation. The results indicate that the technology aspect demonstrates a system availability rate of 95%, reflecting good system quality and service stability, while the organizational aspect is supported by formal policies and standard operating procedures. However, the human aspect remains a key limiting factor due to disparities in digital literacy and data input consistency, along with suboptimal cross-unit data integration. These findings reveal a gap between technological and organizational readiness and human resource capacity in achieving strategic system utilization. The novelty of this study lies in applying the HOT-Fit model to a regional trade information system context, which has been rarely examined, and in integrating TAM as an interpretative framework to explain user acceptance.
Pendampingan Guru SMKN 1 Tukak Sadai dalam Penggunaan Platform Digital untuk Pembelajaran Berbasis Project Dzalfa Tsalsabila Rhamadiyanti; Aditya Ahmad Fauzi; Fithriawan Nugroho; Fitriyanti Fitriyanti
Harmoni Sosial : Jurnal Pengabdian dan Solidaritas Masyarakat Vol. 3 No. 1 (2026): Januari: Harmoni Sosial : Jurnal Pengabdian dan Solidaritas Masyarakat
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62383/harmoni.v3i1.2778

Abstract

This community service activity aimed to strengthen teachers’ competencies in utilizing digital platforms to support project-based learning at a vocational high school. The background of this activity was the limited ability of teachers to manage project-based learning in a structured and systematic manner using digital platforms. The method employed was participatory mentoring, involving needs analysis, activity planning, implementation of digital platform mentoring, monitoring and evaluation, and reflection with follow-up actions. The participants were teachers of SMK Negeri 1 Tukak Sadai, Bangka Barat. The results indicated an improvement in teachers’ understanding and skills in designing, managing, and evaluating project-based learning using digital platforms. Teachers became more confident in integrating technology into learning processes and demonstrated better organization of project activities. This activity contributed to enhancing teachers’ digital competencies and improving the quality of project-based learning practices in vocational education. The findings suggest that participatory mentoring is an effective approach to supporting sustainable digital learning innovation in vocational schools.
Co-Authors Aditya Ahmad Fauzi Fithriawan Nugroho fitriyanti fitriyanti KUSRINI