Claim Missing Document
Check
Articles

Found 4 Documents
Search

Optimization of Region of Interest (ROI) Image of Malaria Parasites Rika Rosnelly; Linda Wahyuni; Jani Kusanti
Journal of Applied Intelligent System Vol 3, No 2 (2018): Journal of Applied Intelligent System
Publisher : Universitas Dian Nuswantoro and IndoCEISS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33633/jais.v3i2.2060

Abstract

The stage of region of interest (ROI) is the determining part to the next stage in image processing. ROI is a process of taking certain parts or regions in an image. ROI can be done by manual and automatic cropping. Some previous studies still use cropping manually for detection of malaria parasites. This study uses cropping automatically for detection of malaria parasites. The types of malaria parasites used were falciparum, vivax and malariae with ring stages, tropozoite, schizon and gametocytes. Data from malaria parasites were obtained at the North Sumatra Provincial Health Laboratory. The results show that the ROI image can crop the malaria parasite region. Keyword - malaria parasite, ROI.
SISTEM PENDUKUNG KEPUTUSAN KELAYAKAN KENAIKAN GAJI PEGAWAI MENGGUNAKAN METODE WASPAS Wahyu Saptha Negoro; Linda Wahyuni; Fujiati Fujiati
IT (INFORMATIC TECHNIQUE) JOURNAL Vol 9, No 1 (2021): IT JOURNAL APRIL 2021
Publisher : Universitas Potensi Utama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22303/it.9.1.2021.1-12

Abstract

Gaji pegawai merupakan hasil kinerja yang diperoleh pegawai selama bekerja, adapun dari kenaikan gaji dikarenakan dari kelayakan atau keberhasilan pegawai dalam mencapai progress yang telah ditentukan oleh pihak perusahaan. Suatu upaya untuk meningkatkan kinerja pada PT. Dwi Tama Prima Sakti adalah memberikan kenaikan gaji kepada pegawai  yang layak mendapatkannya. Dalam pemberian kenaikan gaji kadang kala tidak sesuai dengan hasil kinerjanya. Pemberian kenaikan gaji sering kali dipukul rata  atau kadang kala pemberian kenaikan gaji hanya dengan memperkirakannya saja, tanpa penerapan perhitungan. PT. Dwi Tama Prima Sakti bergerak di bidang rental construction equipment dimana perusahaan ini menerima jasa pengerjaan tanah, memindahkan bahan bangunan, serta rental alat untuk bangunan yang mana dalam penentuan kenaikan gaji pegawainya belum menggunakan aplikasi komputer. Penentuan kriteria dalam pemilihan kelayakan dari kenailkan gaji ada 4 kriteria diantaranya masa kerja, prestasi, beban kerja dan pendidikan. Sehingga dari 20 data pegawai yang bisa diambil keputusan Layak atau tidaknya  dalam  penentuan kenaikan gaji diranking lebih besar dari nilai 8 terhadap perhitungan metode WASPAS.
Training Introduction to Digital Image Processing Techniques in The Medical Field Rika Rosnelly; Linda Wahyuni; Hardianto Hardianto; Elsa Aditya
JUDIMAS Vol 3, No 1 (2022): JUDIMAS
Publisher : STMIK Pontianak

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30700/jm.v3i1.1282

Abstract

Malaria is a health problem in Asia, especially in Indonesia. Malaria is an infectious disease, through the bite of a female Anopheles mosquito. Data sourced from the Ministry of Health of the Republic of Indonesia, there are 261,671 cases of malaria in Indonesia, one hundred of which claimed human lives. There are 28% in Indonesia living in malaria endemic areas for low, medium and highlands. Medical examination takes a long time, one example for examination of malaria parasites is with a microscope. The examination microscope has a hundred fields of view. Digital image processing is an image manipulation process to get better image results. The stages begin with ROI (Region of Interest), image improvement, segmentation with Otsu thresholding, extraction of shape and texture features and classification using LVQ. Digital image processing can help in the medical field, especially for disease identification.
Pengembangan Intelligent Web-Based System untuk Diagnosa Kerusakan Sepeda Motor Listrik Menggunakan Naive Bayes Wirhan Fahrozi; Linda Wahyuni; Abdul Meizar
METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi Vol. 10 No. 1 (2026): METHOMIKA: Jurnal Manajemen Informatika & Komputersisasi Akuntansi
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/jmika.Vol10No1.pp151-160

Abstract

The rapid growth in the use of electric motorcycles has increased the need for a damage diagnosis system that is fast, accurate, and easily accessible. The process of identifying faults, which still relies on manual inspection, often requires considerable time and depends heavily on the expertise of technicians. This study aims to develop a web-based intelligent system capable of automatically diagnosing electric motorcycle faults using the Naïve Bayes method. This method is chosen due to its ability to perform probabilistic classification with good accuracy, even when dealing with limited data. The developed system utilizes symptom data and types of faults as the basis for probability calculations to determine the most likely damage. The system development process includes data collection, model design, algorithm implementation, and system testing. The testing results indicate that the system is able to provide fast and consistent diagnostic recommendations based on the symptoms input by users. With the implementation of this system, it is expected to assist both users and technicians in conducting initial identification of electric motorcycle faults more efficiently, thereby accelerating the repair process and reducing the potential for diagnostic errors.