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All Journal Seminar Nasional Aplikasi Teknologi Informasi (SNATI) JOURNAL OF APPLIED INFORMATICS AND COMPUTING Abdimas Altruis: Jurnal Pengabdian Kepada Masyarakat
Sri Hartati Wijono
Universitas Sanata Dharma
Humanities Computer Science & IT Education Environmental Science Social Sciences Other

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PENAMBANGAN CITRA INDERAJA MENGGUNAKAN INFORMASI SPASIAL DAN SPEKTRAL Sri Hartati Wijono; Aniati Murni
Seminar Nasional Aplikasi Teknologi Informasi (SNATI) 2010
Publisher : Jurusan Teknik Informatika, Fakultas Teknologi Industri, Universitas Islam Indonesia

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Abstract

Tulisan ini merupakan hasil penelitian yang bertujuan untuk menghasilkan sistem yang mampu menghasilkancitra dengan tekstur dan komposisi yang memiliki tingkat relevansi paling besar dengan citra kueri.Untuk mencapai tujuan tersebut, penelitian ini menggunakan 70 citra inderaja optis. Digunakan informasispasial dan spektral untuk mencari kemiripan citra hasil kueri dengan citra kueri. Informasi spasial yangdigunakan adalah vektor ciri yang diperoleh dari Gabor Wavelet Transform. Informasi spektral menggunakanvektor komposisi Land Cover Land Use yang diperoleh dengan klasifikasi Gaussian Maximum Likelihood.Vektor ciri Gabor akan diuji dengan kueri menggunakan citra yang mengalami proses skala 0.5 dan rotasi 90°.Dilakukan proses circular shift terhadap vektor ciri Gabor untuk menangani masalah rotation invariant.Hasil penelitian menunjukkan bahwa Gabor Wavelet Transform memiliki masalah scale invariant dan rotationinvariant, sehingga memerlukan proses normalisasi. Masalah rotation variant dapat ditangani dengan prosescircular shift terhadap vektor ciri Gabor dan terbukti handal untuk meningkatkan hasil. Penelitianmenggunakan berbagai macam ukuran jarak dan ukuran jarak Matusita yang paling tinggi menghasilkan citrarelevan. Penggunaan informasi spasial dan spektral memberikan hasil lebih baik jika digunakan secarabersamaan.Kata Kunci: citra inderaja, Gabor Wavelet Transform, Gaussian Maximum Likelihood, Land Cover Land Use
PELATIHAN MEDIA BELAJAR BERBASIS ONLINE DI ERA PANDEMI Kartono Pinaryanto; Anastasia Rita Widiarti; Haris Sriwindono; Ridowati Gunawan; Hari Suparwito; Sri Hartati Wijono; Rosalia Arum Kumalasanti; Wiwien Widyastuti
ABDIMAS ALTRUIS: Jurnal Pengabdian Kepada Masyarakat Vol 5, No 1 (2022): April 2022
Publisher : Universitas Sanata Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24071/aa.v5i1.3916

Abstract

The education sector is one of the areas that has been most affected by the COVID-19 pandemic. Schools, which normally hold offline meetings, must now take place online. With this pandemic, the teaching process must be "forced" to be done online. The task model which is usually given in physical mode (questions on paper, done and collected) is no longer relevant to be done because of the limitations of physical meetings. On the other hand, students need an explanation from the teacher directly because they are used to the context of offline learning. Judging from the current level of smartphone ownership, whether owned by students themselves or their parents, we can use smartphone devices to help the teaching and learning process. But of course it requires technological literacy from the student side and the teacher side so that this teaching and learning process can be carried out properly. As a form of concern for the academic community of the Informatics Study Program at Sanata Dharma University to the problems that exist in the environment around the campus, we held training activities for making teaching media for State Elementary School of Timbulharjo teachers who ultimately played an important role in improving teachers' technological literacy in carrying out online learning. This activity had been carried out well offline in 2 stages, namely stage 1 on 9 and 10 June 2021 and stage 2 on 22 and 23 November 2021.
Adaptive Retrieval-Augmented Generation with Domain Specific Fine Tuning For Smart MSME Digital Transformation Mawar Hardiyanti; Sri Hartati Wijono; Dwi Poetra Sedjati
Journal of Applied Informatics and Computing Vol. 10 No. 3 (2026): June 2026
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v10i3.12924

Abstract

Micro, Small, and Medium Enterprises (MSMEs) play a significant role in the Indonesian economy; however, the adoption of digital technologies among MSMEs remains limited, reducing operational efficiency and business competitiveness. This study proposes an Adaptive Retrieval-Augmented Generation (ARAG) framework integrated with WhatsApp to support MSME digital transformation through contextual conversational AI assistance. The proposed system combines adaptive retrieval mechanisms with domain-specific fine-tuning using IndoBERT and a knowledge base containing 50,000 MSME operational documents. A mixed-methods approach was employed, consisting of system development, comparative evaluation, and field validation involving 200 MSMEs. Experimental results demonstrated that ARAG achieved an average response accuracy of 86.80%, outperforming rule-based, TF-IDF, and generic large language model baselines. The system also achieved a Retrieval Precision@5 of 0.874, an end-to-end F1-score of 0.841, and a lower hallucination rate compared to generic LLM approaches. Field validation showed a 22.7% improvement in operational efficiency, a 17.4% increase in digital adoption rates, and a System Usability Scale (SUS) score of 84.6, categorized as excellent usability. The findings indicate that retrieval grounding and domain adaptation contribute substantially to improving contextual relevance and practical usability in MSME-oriented conversational AI systems. Therefore, the proposed ARAG framework demonstrates strong potential as a practical and scalable digital assistance solution for supporting Indonesian MSME digital transformation.
Co-Authors Anastasia Rita Widiarti Aniati Murni Arymurthy Dwi Poetra Sedjati Hari Suparwito Haris Sriwindono Mawar Hardiyanti Pinaryanto, Kartono Ridowati Gunawan Rosalia Arum Kumalasanti Wiwien Widyastuti