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All Journal Jurnal Teknologi Informasi Mura Jurnal Komputer dan Teknologi (JUKOMTEK)
Harma Oktavia Lingga Wijaya
Universitas Bina Insan
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Library & Information Science

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KLASIFIKASI JENIS PENYAKIT BUAH MANGGA BERBASIS DEEP LEARNING MENGGUNAKAN ARSITEKTUR RESNET DAN MOBILENET Nanda Cornelis Rasyid; Joni Karman; Asep Toyib Hidayat; Harma Oktavia Lingga Wijaya
Jurnal Komputer dan Teknologi Vol 5 No 1 (2026): JUKOMTEK JANUARI 2026
Publisher : Yayasan Pendidikan Cahaya Budaya Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64626/jukomtek.v5i1.570

Abstract

Mango plantations in Indonesia face significant challenges due to pests and diseases that reduce productivity and cause economic losses for farmers. Manual identification of these issues requires expert knowledge and is often time-consuming and inaccurate. This study aims to develop a classification system for detecting various mango leaf diseases using deep learning models, specifically ResNet and MobileNet architectures. Deep learning, particularly Convolutional Neural Networks (CNNs), enables automatic disease detection from plant images by learning patterns without explicit programming. The proposed system focuses on identifying common diseases such as leaf blight, whiteflies, and leaf caterpillars efficiently and accurately. By leveraging image-based recognition, the system allows for early diagnosis and timely intervention. The results of this research are expected to provide a technological solution that supports modern agriculture and empowers farmers with better disease management tools.
PENERAPAN RETRIEVAL-AUGMENTED GENERATION(RAG) DAN LARGE LANGUAGE MODEL(LLM) PADA CHATBOT PELAYANAN PUBLIK DINAS ADMINISTRASI DAN DAN PENCATATAN SIPIL KABUPATEN MUSI RAWAS UATARA Ari Bauceng; Adri Anto Tri Susilo; Harma Oktavia Lingga Wijaya; Asep Toyib Hidayat
Jurnal Teknologi Informasi Mura (JTI) Vol. 18 No. 1 (2026): Jurnal Teknologi Informasi Mura
Publisher : LPPM UNIVERSITAS BINA INSAN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32767/jti.v18i1.2964

Abstract

The development of information technology encourages government agencies to improve the quality of public services through digital services. The Population and Civil Registration Office (Disdukcapil) of North Musi Rawas Regency is required to provide fast and easily accessible population administration services. This study designed and implemented a WhatsApp-based chatbot as a population information service medium. The methods used included needs analysis, system design, implementation, and functionality testing. The chatbot provides information related to document requirements, service schedules, administrative flows, and officer contact features. The implementation results show that the system is able to improve service efficiency, facilitate information access, and reduce the burden of manual service. This chatbot has the potential to become an adaptive and sustainable digital public service solution.
Co-Authors Adri Anto Tri Susilo Ari Bauceng Asep Toyib Hidayat joni karman Nanda Cornelis Rasyid