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Pneumonia Classification Based on GLCM Features Extraction using K-Nearest Neighbor Suharyana Suharyana; Fuad Anwar; Armylia Chandra Dewi; Mohtar Yunianto; Umi Salamah; Rifai Chai
INDONESIAN JOURNAL OF APPLIED PHYSICS Vol 13, No 2 (2023): IJAP Volume 13 ISSUE 02 YEAR 2023
Publisher : Department of Physics, Sebelas Maret University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13057/ijap.v13i2.77120

Abstract

Pneumonia has been detected using Machine learning. The stages in this study began with preprocessing in 4 stages: resizing, cropping, filtering using a high pass filter, and Adaptive Histogram Equalization. The feature extraction process continued with 22 Gray Level Co-occurrence Matrix (GLCM) features and classification using K-Nearest Neighbor (KNN). The image used was 150 data sets for training on the classification of 3 classes with a ratio of 50:50:50 while training on two classes was 50 bacterial pneumonia and 50 viral pneumonia. The most optimal training data accuracy results were obtained using the angle direction on the GLCM, namely 135o with the KNN classification (k = 3). For the classification of two classes Using 40 data sets, an accuracy of 91% was obtained, while testing for three classes with 60 data sets was 83.3%.
Implementasi Sistem Pembangkit Listrik Tenaga Surya Terpusat (Off-Grid) untuk sumber energi mandiri budidaya perikanan Fuad Anwar; Mohtar Yunianto; Fendi Aji Purnomo
SEMAR (Jurnal Ilmu Pengetahuan, Teknologi, dan Seni bagi Masyarakat) Vol 12, No 2 (2023): November (Article in Press)
Publisher : LPPM UNS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/semar.v12i2.76048

Abstract

Komunitas AMPUH Desa Wonorejo bergerak dalam bidang usaha budidaya ikan, energi listrik menjadi kendala selama ini apabila supplay listrik dari PLN terputus. PLTS Off-Grid menjadi salah satu solusi untuk masalah catudaya, alat tersebut terdiri dari  panel solar, inverter, battery lipo4, watt meter dan MCB. Komponen tersebut dapat memberikan suplay selama 24 jam untuk mesin sirkulasi udara dan pemberi makan otomatis. Dengan tersedianya alat tersebut kendala yang selama ini di hadapi oleh peternak ikan menjadi teratasi.Kata kunci: PLTS Off-Grid; energi surya; mandiri; Desa mandiri; budidaya
STUDY OF 3D PRINTING HIPS BREAST PHANTOM MATERIAL: EFFECT OF EXPOSURE VOLTAGE VARIATION AND NODULE SIZE Mohtar Yunianto; Nanda Astika Devi; Fuad Anwar; Adnan Cindyana
Jurnal Ilmiah Ilmu Terapan Universitas Jambi Vol. 9 No. 3 (2025): Volume 9, Nomor 3, September 2025
Publisher : LPPM Universitas Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22437/jiituj.v9i3.42846

Abstract

A study has examined the characteristics of 3D printer materials of HIPS and PLA. The study began by printing HIPS materials that resembled breast organs and PLA materials that resembled breast cancer nodules. Then it exposed them using a CT scan with voltage variations of 80 kV, 100 kV, and 120 kV. The parameters studied were compared with the reference breast organ. The results obtained at these voltages obtained CT-number values sequentially (-85.14+0.25) ; (-64.79+0.21) HU; (-55.08+0.18) HU values from the reference 35 to -94 HU, relative electron density values sequentially 0.915; 0.935; 0.945 with a reference value of 0.950, the density value of the material obtained is (0.921+0.002) g/, The EDG value is 3.24 x  from ICRU 1989 was 3.33 x, The EDV value is (3.00 + 0.01) x  from ICRU report 44 was 3.18 x 10, the value is 3.50 the value of ICRU data is 3.28, and the effective dose values are respectively 2.53 mSv, 2.83 mSv, 3.20 mSv. Based on these characteristics, the results indicate that the breast phantom matches the characteristics of the breast organ, allowing it to be used to predict the presence of breast cancer, as it shares the same characteristics. The results of exposure to the lung cancer nodule phantom on the CT-Scan image of the 2 mm nodule size are not visible. The results of this study can be used as a consideration for radiologists when choosing a voltage based on the predicted size of the breast cancer nodule.