Claim Missing Document
Check
Articles

Found 6 Documents
Search

Coloring of Cervical Cancer’s Ct Images to Localize Cervical Cancer Erlinda Ratnasari Putri; Amar Vijai Nasrulloh; Arfan Eko Fahrudin
International Journal of Electrical and Computer Engineering (IJECE) Vol 5, No 2: April 2015
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (232.636 KB) | DOI: 10.11591/ijece.v5i2.pp304-310

Abstract

Cervical cancer is the most common gynecologic cancer in women. Cervical cancer and the normal cervix usually have similar attenuations on CT images which are obtained. The normal cervix and the tumour cannot be distinguished on normal CT images. CT image of cervical cancer is used by the experts for the analysis of diseases. In this research study, CT image of cervical cancer is done with process of image segmentation and coloring. The process of image segmentation is done after the image sharpening process and the determination of cervical cancer’s area. Fuzzy C-Means is used as the algorithm for image segmentation. The colors of image segmentation result are changed by program module. The result is the colors of image segmentation uniform with the other results. The image is overlayed with image result of image sharpening process. Coloring image purposes are to distinguish between cervical cancer’s area and normal organ and to localize the existence of cervical cancer. Based on the doctor’s observation, the empirical rate of testing 20 samples on the program is 100%.
Pengenalan Suara Vokal Bahasa Indonesia dengan Jaringan Saraf Tiruan Menggunakan Ciri Transformasi Wavelet Diskrit Nadya Amalia; Arfan Eko Fahrudin; Amar Vijai Nasrullah
Jurnal Fisika FLUX Vol 9, No 2 (2012): Jurnal Fisika FLUX Edisi Agustus 2012
Publisher : Lambung Mangkurat University Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1306.373 KB) | DOI: 10.20527/flux.v9i2.6099

Abstract

Vowel recognition is the main topic in speech recognition. There are sixIndonesian vowels, i.e. /a/, /i/, /u/, /e/, /ə/ and /o/. Feature extraction is an importantstep in recognition system because the recognition rate depends on featureextraction results. Vowel feature extraction via discrete wavelet transform (DWT) ispresented here. Mother wavelet db4 and sym4 are used. Minimum, maximum, meanand standard deviation value of wavelet coefficients are extracted as vowel features.DWT with level 2 decomposition obtains 12 features, level 4 decomposition obtains20 features and level 6 decomposition obtains 28 features. Then, those vowelfeatures are used as an input of artificial neural network (ANN) with 2 hidden layers.First hidden layer has 10 neurons and second hidden layer has variety 5 and 7neurons. Backpropagation method is used to train the ANN. The vowel signals arerecorded from 10 female respondens and 10 male respondens. Each respondenpronounces six Indonesian vowels and syllable /ka/, /ki/, /ku/, /ke/, /kə/ and /ko/.Experimental results show that the best recognition rate for the vowel is 85%, whichis obtained by using mother wavelet sym4, level 6 decomposition and 7 neurons forsecond hidden layer, and the best recognition rate for the syllable is 80%, which isobtained by using mother wavelet db4, level 6 decomposition and 5 neurons forsecond hidden layer.
Analisis Citra Alos Palsar dalam Pembuatan Peta Geomorfologi Kalimantan Selatan Korina Andini; Nurlina Nurlina; Amar Vijai Nasrullah
Jurnal Fisika FLUX Vol 9, No 2 (2012): Jurnal Fisika FLUX Edisi Agustus 2012
Publisher : Lambung Mangkurat University Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (392.117 KB) | DOI: 10.20527/flux.v9i2.6097

Abstract

Konservasi sumber daya alam Kalimantan Selatan saat ini sangatmembutuhkan perhatian lebih lanjut, terutama dalam penyajian informasi bentuklahan dan potensi daerah Kalimantan Selatan. Peta geomorfologi yang dibuat daricitra radar ALOS PALSAR menjadi alternatif yang lebih efektif karena tidakdipengaruhi oleh tutupan awan. Penyajian bentuk lahan diperoleh dari hasilklasifikasi visual pada citra yang dilihat dari kenampakan relief dan rona yangdiberikan. Dimana citra tersebut adalah citra hasil kombinasi polarisasi HV-HH-HVyang diproses menggunakan metode komposit red-green-blue (RGB), filteringkonvolusi (highpasss filter), dan filtering morfologi agar kenampakannya lebih jelas.Pada penelitian yang telah dilakukan, citra hasil komposit red-green-blue (RGB)memiliki hasil penyajian bentuk lahan yang lebih baik daripada filtering konvolusidan filtering morfologi, dan menghasilkan 6 bentuk lahan alami dan 1 bentuk lahanbuatan yang bisa diidentifikasi, yaitu bentuk lahan fluvial, marin, struktural,solusional, denudasional, vulkanik, dan antropogenik. Dari hasil pemetaan yangdibuat, bentuk lahan terluas yang ada di Kalimantan Selatan adalah bentuk lahanfluvial yang sangat mempengaruhi potensi perairan. Adanya bentuk lahan dankeadaan geologi yang bervariasi di Kalimantan Selatan, membuat daerah inimemiliki sumber daya alam yang efektif dalam bidang perairan maupun darat.
Design of water turbidity measurement using Arduino Uno R3 on the Martapura River Mochammad Anshori; Nurma Sari; Amar Vijai Nasrulloh
Jurnal Fisika Flux: Jurnal Ilmiah Fisika FMIPA Universitas Lambung Mangkurat Vol 19, No 3 (2022): Jurnal Fisika Flux: Jurnal Ilmiah Fisika FMIPA Universitas Lambung Mangkurat
Publisher : Lambung Mangkurat University Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1666.443 KB) | DOI: 10.20527/flux.v19i3.12959

Abstract

Water is a very important daily need in human life. Water is needed for drinking, preparing food, washing and cleaning. The water used must be suitable for use with quality according to physical, biological and chemical parameters. The aim of this study is to design an instrument for water turbidity which is a one of physical parameter. Turbidity occurs due to the scattering of particles that affect the absorption of light rays in water, such as sediment. Feasible water has a turbidity value of 25 NTU. The tool for measuring water turbidity uses a turbidity sensor SKU: SEN0189 which has been integrated with the Arduino Uno R3 microcontroller and can store measurement results automatically through the Delphi 7.0 interface software in .xls format. This water turbidity measuring instrument can be applied with a smart water tool, so that the percentage value of the decrease in the level of turbidity of water that has been carried out by the filtration process can be known. The test results of the water turbidity measuring instrument showed that turbidity ≤452 NTU had a standard deviation value of ±2 NTU and turbidity ≥520 NTU had a standard deviation value of ±1. The implementation of a river water turbidity measuring instrument using a SKU:SEN0189 turbidity sensor has been carried out in Martapura river water with 3 different location points. The measurement results before filtration show that the highest turbidity value is 124 NTU at point 1, 130 NTU at point 2, and 189 NTU at point 3. In the measurement after filtration, the smallest turbidity value is 9 NTU at point 1, 9 NTU at point 2, and 13 NTU at point 3. This shows that after the filtration process of Martapura river water has been carried out with a smart water tool, Martapura river water can be used for sanitary hygiene purposes according to the water turbidity parameter with a value below the 25 NTU threshold.
Neutron Generated during Proton Bombardment in Water Molecule Gusti Atika Urfa; Nurma Sari; Amar Vijai Nasrulloh
Jurnal Fisika Flux: Jurnal Ilmiah Fisika FMIPA Universitas Lambung Mangkurat Vol 20, No 1 (2023): Jurnal Fisika Flux: Jurnal Ilmiah Fisika FMIPA Universitas Lambung Mangkurat
Publisher : Lambung Mangkurat University Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/flux.v20i1.14684

Abstract

Proton therapy is a treatment modality which can deliver dose precisely to cancer tumor in comparison to photon therapy, However, study about the biological effect of proton therapy are not well known. In this study, simulation of proton bombardment with energy 110 MeV to water is conducted using Geant4 software. The selection of water as the object of proton bombardment due to majority of human body is consisted of water. Water molecule in this simulation is a cube shaped with 10 x 10 x 10 cmand surrounded by PMMA material with 0.5 cm thickness. From the simulation results, it can be seen that <2% neutrons particle are formed due to the interaction of proton particles with water material. Small dose of neutron can be dangerous for body because it has high biological effectiveness and thus even a small absorbed dose might cause negative side effects in the patient.
Introduksi Teknik Bioinformatika Dalam Mendukung Kegiatan Konservasi Ex-Situ Tumbuhan Langka di Kalimantan Selatan Dindin Hidayatul Mursyidin; Yudhi Ahmad Nazari; Amar Vijai Nasrulloh; Muhammad Riyan Firnanda
Jurnal Pengabdian ILUNG (Inovasi Lahan Basah Unggul) Vol 2, No 4 (2023)
Publisher : Universitas Lambung Mangkurat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/ilung.v2i4.6682

Abstract

Kalimantan is part of the world's megadiversity that has high genetic diversity. However, due to habitat degradation and overexploitation, most of these biodiversity are endangered. Currently, in the Banua Botanical Garden (KRB), South Kalimantan, ex-situ conservation effort of some of rare plants has been carried out. However, this activity is still constrained by many things, one of which is the limited data collection and characterization of the collection of rare plants at the location. The objective of this study is to introduce bioinformatics  techniques in supporting ex-situ conservation at the location, especially for research staff and conservation activists at the Banua Botanical Garden and several other government agencies, such as  the Center for the Implementation of Environmental and Forestry Instrument Standards (BPSILHK), the Natural Resources Conservation Center (BKSDA), the Agricultural Technology Assessment Center (BPTP), the Swampland Agricultural Research Center (Balittra) and the Center for Supervision and Certification of Food Crop and Horticultural Crops Seeds (BPSBTPH), including the National Research and Innovation Agency (BRIN).  In its implementation, 11 participants were present as representatives of the already mentioned institutions. In general, the activity was a success and received agood response from all participants. The evaluation showed that the output target of this activity was achieved, i.e., the increase in insight and science and technology ability of research staff and conservation activists at the Banua Botanical Garden as well as several agencies involved in the development and application of the latest bioinformatics techniques to support ex-situ  conservation activities of rare plants in Kalimantan.