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All Journal PROSIDING Prosiding Seminar Nasional Indonesian Journal of Applied Informatics Jurnal Pemberdayaan: Publikasi Hasil Pengabdian Kepada Masyarakat GERVASI: Jurnal Pengabdian kepada Masyarakat International Journal of Economics, Business and Accounting Research (IJEBAR) bit-Tech Journal of Intelligent Decision Support System (IDSS) Multicience INTELEKTIVA Muria Jurnal Layanan Masyarakat Jurnal Teknologi Informasi Cyberku Duta.com : Jurnal Ilmiah Teknologi Informasi dan Komunikasi Proceeding of International Conference Health, Science And Technology (ICOHETECH) SATIN - Sains dan Teknologi Informasi
Wiji Lestari
Universitas Duta Bangsa Surakarta
Arts Humanities Biochemistry, Genetics & Molecular Biology Chemistry Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Medicine & Pharmacology Public Health Social Sciences Other

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Journal : proceeding of international conference health science and technology icohetech

 1 
Application Of Mathematical Morphology Algorithm For Image Enhancement Of Breast Cancer Detection Wiji Lestari; Sri Sumarlinda
Proceeding of International Conference on Science, Health, And Technology Proceeding of the 1st International Conference Health, Science And Technology (ICOHETECH)
Publisher : LPPM Universitas Duta Bangsa Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (650.053 KB) | DOI: 10.47701/icohetech.v1i1.798

Abstract

This study aims to produce an image processing application using Mathematical Morphology to improve the quality of the digital image for breast cancer detection. Medical image is an image produced or used in the medical field. Improving medical image quality is very useful for diagnosis and advanced image processing. Breast healthy is important for women. Breast cancer is the main killer for women. Biomedical breast image data is secondary data. The next process is the initial processing, which is processing that is related to pixel size, gray scale, and so on. The improvement of medical image in this study uses the Mathematical Morphology method which consists of Dilation, Erosion, Opening (Erosion-Dilation) and Closing (Dilation-Erosion) processes. The expected results of this research are medical digital images that have improved their quality as a result of Dilation, Erosion, opening and closing processes.
Clinical Decision Support System for Mapping of Blood Pressure and Heart Rate Sri Sumarlinda; Wiji Lestari
Proceeding of International Conference on Science, Health, And Technology 2021: Proceeding of the 2nd International Conference Health, Science And Technology (ICOHETECH)
Publisher : LPPM Universitas Duta Bangsa Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1067.774 KB) | DOI: 10.47701/icohetech.v1i1.1119

Abstract

Blood pressure has influence on cardiovascular diseases. This study aims to develope clinical decision support system (CDSS) model which non rule based system. The model eas improved using data mining function, especially clustering. K-Means algorithm was used to clustering 120 data and 4 attributes{ age, obesity, sistolic, diastolic and heart rate The clustering process used 500 epoches and 3 cluster. The result of clustering produced 3 cluster. Cluster 1 is higher risk, cluster 2 is medium risk and cluster 3 is normal or lower risk.
Performance Analysis of Solar Panels in Tropical Region: A Study Case in Surakarta Indonesia Rudi Susanto; Wiji Lestari; Herliyani Hasanah
Proceeding of International Conference on Science, Health, And Technology Proceeding of the 3rd International Conference Health, Science And Technology (ICOHETECH)
Publisher : LPPM Universitas Duta Bangsa Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (608.368 KB) | DOI: 10.47701/icohetech.v3i1.2059

Abstract

The performance of solar panels affects the utilization of solar energy for daily life. This study aims to carry out the measurement of the performance of solar panels in Surakarta City is located between 110 ° 45 '15" and 110 ° 45" 35" East Longitude and between 7 ° 36" and 7 ° 56" South Latitude. Research used solar panels, current sensors, voltage sensors, temperature sensors, solar irradiance sensors, humidity sensors, Arduino and Labview. The solar panels 20 WP is used in the experiment. The measurement results obtained that the maximum energy value per day produced is 165 Wh and a minimum of 76.8 Wh with an average of 109.1 Wh. Temperature measurements were carried out in the range 37.2 0 C to 41.0 0C which is the normal temperature for PV operations. The average irradiation measurement is 1834.3 W/m2 while the average humidity is 32.5%. The relationship between energy and temperature, energy with solar irradiance and energy with humidity find using Pearson Product Moment Correlation (PPMC). The result show that the effect of temperature and solar irradiance were more significant than humidity.
Co-Authors Agustina Srirahayu Anggit Nurhidayah Dimas Agih Ramadhan Galih Adi Nugraha Hafizh Hanan Supriyanto Hasanah, Herliyani INDRA HASTUTI Indra Hastuti Indra Hastuti Novemy Triyandari Nugroho Purwanto, Eko Rudi Susanto Singgih Purnomo Sri Sumarlinda Sri Sumarlinda Stefanus Santosa Wijiyanto Yonathan Purbo Santosa