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All Journal Jurnal Teknologi Informasi dan Ilmu Komputer SISFOTENIKA IJCIT (Indonesian Journal on Computer and Information Technology) Jurnal Teknik Komputer AMIK BSI INOVTEK Polbeng - Seri Informatika Techno Nusa Mandiri : Journal of Computing and Information Technology Jurnal Mantik Penusa JURTEKSI Jurnal Riset Informatika Jurnal Mantik Ubiquitous: Computers and its Applications Journal Jurnal Sistem Informasi Computer Science (CO-SCIENCE) PROSISKO : Jurnal Pengembangan Riset dan observasi Rekayasa Sistem Komputer Paradigma
Siti Nurajizah
Universitas Bina Sanara Informatika
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media Mechanical Engineering

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Image Segmentation Analysis Using Otsu Thresholding and Mean Denoising for the Identification Coffee Plant Diseases Ami Rahmawati; Ita Yulianti; Siti Nurajizah
Jurnal Riset Informatika Vol. 6 No. 1 (2023): December 2023
Publisher : Kresnamedia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34288/jri.v6i1.261

Abstract

In Indonesia, coffee is one of the plantation products with a relatively high level of productivity and is a source of foreign exchange income for the country. However, unfortunately, certain factors can threaten productivity and quality in cultivating coffee plants, one of which is rust leaf disease. This disease causes disturbances in photosynthesis, thereby reducing plant yields. Therefore, to maintain and control productivity in coffee cultivation, this research carried out the process of observing coffee leaf images through segmentation using the Otsu Thresholding and Mean Denoising methods. The entire series of processes in this research was carried out using the Python programming language and succeeded in providing output in the form of image comparisons showing areas affected by Rust Leaf disease using the Otsu thresholding method alone and the Otsu thresholding method combined with a non-local means denoising algorithm. The test results prove that the Otsu thresholding method with the non-local means denoising algorithm has a smaller MSE value. It is the most optimal method for handling coffee leaf disease image segmentation with an accuracy level of 88%. It is hoped that this research can support farmers in providing insight into early detection of coffee plant diseases and increasing productivity through visual analysis.
Analisis Manajemen Proyek Sistem Informasi Pengolahan Persediaan Data Obat di Klinik Cirendeu Medika Tangerang Normah Normah; Siti Nurajizah; Rizqitha Maula; Divika Namastute; Alifia Ramadhanti
JURNAL TEKNIK KOMPUTER AMIK BSI Vol 10, No 2 (2024): Periode Juli 2024
Publisher : Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/jtk.v10i2.23014

Abstract

Digital transformation in the health sector is starting to be intensively implemented. The provision of an integrated health information system is being planned to improve health governance. However, at the Cirendeu Medika Tangerang Clinic, there has not been maximum improvement in this matter, one example is medication recording which is still done manually so it takes a long time and is prone to errors. In supporting this digital transformation, the Cirendeu Medika Tangerang Clinic has begun implementing digitalization in carrying out its business processes. Recording of drug supplies, receipt of drugs, and dispensing of drugs will be done by accessing the website so that it can be well documented. Arrangements for these needs can be carried out if they are included in good planning. This planning can be accommodated through the preparation of a planned, integrated Information Systems Project, so that it can produce output that is efficient and on target.
Co-Authors Alifia Ramadhanti Ami Rahmawati Anak Agung Istri Sri Wiadnyani Arinda Salbinda Divika Namastute Duwik Sudarsono Ervan Aziz Fani Roziqi Fajri Fitria Dara Kurnia Hikmatulloh Hikmatulloh Irlia Oktavianisa Ita Yulianti Jestin Anttares Marijan Marijan Maulana Saputra Mawadatul Maulidah Nadiyah Hidayati Nila Alis Ambarwati Normah Normah Normah Normah Normah Normah Nurfitriani Nurfitriani Panca Saputra, Elin Rizqitha Maula Safitri Linawati Sri Muryani Supriatiningsih Supriatiningsih Taufik Rahman Wicaksono, Bambang Rizki