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All Journal Indonesian Journal of Tropical and Infectious Disease Abdimas Galuh: Jurnal Pengabdian Kepada Masyarakat Indonesian Applied Physics Letters
Adri Supardi, Adri
Physics Study Program, Faculty of Science and Technology, Universitas Airlangga, Surabaya
Agriculture, Biological Sciences & Forestry Chemical Engineering, Chemistry & Bioengineering Earth & Planetary Sciences Economics, Econometrics & Finance Electrical & Electronics Engineering Health Professions Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Medicine & Pharmacology Nursing Physics Public Health

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HEART ABNORMALITY CLASSIFICATIONS USING FOURIER TRANSFORMS METHOD AND NEURAL NETWORKS Purwanti, Endah; Nastiti, Amadea Kurnia; Supardi, Adri
Indonesian Journal of Tropical and Infectious Disease Vol 5, No 2 (2014)
Publisher : Institute of Topical Disease

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Health problems with cardiovascular system disorder are still ranked high globally. One way to detect abnormalities in the cardiovascular system especially in the heart is through the electrocardiogram (ECG) reading. However, reading ECG recording needs experience and expertise, software-based neural networks has designed to help identify any abnormalities of the heart through electrocardiogram digital image. This image is processed using image processing methods to obtain ordinate chart which representing the heart’s electrical potential. Feature extraction using Fourier transforms which are divided into several numbers of coefficients. As the software input, Fourier transforms coefficient have been normalized. Output of this software is divided into three classes, namely heart with atrial fibrillation, coronary heart disease and normal. Maximum accuracy rate of this software is 95.45%, with the distribution of the Fourier transform coefficients 1/8 and number of nodes 5, while minimum accuracy rate of this software at least 68.18% by distribution of the Fourier transform coefficients 1/32 and the number of nodes 32. Overall result accuracy rate of this software has an average of 86.05% and standard deviation of 7.82.
HEART ABNORMALITY CLASSIFICATIONS USING FOURIER TRANSFORMS METHOD AND NEURAL NETWORKS Purwanti, Endah; Nastiti, Amadea Kurnia; Supardi, Adri
Indonesian Journal of Tropical and Infectious Disease Vol. 5 No. 2 (2014)
Publisher : Institute of Topical Disease Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (463.116 KB) | DOI: 10.20473/ijtid.v5i2.223

Abstract

Health problems with cardiovascular system disorder are still ranked high globally. One way to detect abnormalities in the cardiovascular system especially in the heart is through the electrocardiogram (ECG) reading. However, reading ECG recording needs experience and expertise, software-based neural networks has designed to help identify any abnormalities of the heart through electrocardiogram digital image. This image is processed using image processing methods to obtain ordinate chart which representing the heart's electrical potential. Feature extraction using Fourier transforms which are divided into several numbers of coefficients. As the software input, Fourier transforms coefficient have been normalized. Output of this software is divided into three classes, namely heart with atrial fibrillation, coronary heart disease and normal. Maximum accuracy rate of this software is 95.45%, with the distribution of the Fourier transform coefficients 1/8 and number of nodes 5, while minimum accuracy rate of this software at least 68.18% by distribution of the Fourier transform coefficients 1/32 and the number of nodes 32. Overall result accuracy rate of this software has an average of 86.05% and standard deviation of 7.82.
Pembuatan Pupuk Organik dengan Memperkecil Ukuran Bahan Baku Sebagai Upaya Mandiri Pupuk Di Desa Bulus, Bandung Tulungagung Siswanto, Siswanto; Hikmawati, Dyah; Aminatun, Aminatun; Djony Izak, Djony Izak; Ady, Jan; Ukhrowiyah, Nuril; Sapuan, Imam; Arifianto, Deny; Supardi, Adri; Rochman, Mochammad Nurur
Abdimas Galuh Vol 7, No 1 (2025): Maret 2025
Publisher : Universitas Galuh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25157/ag.v7i1.17061

Abstract

Kelangkaan pupuk bersubsidi telah menjadi permasalahan bagi petani di seluruh Indonesia, termasuk di Desa Bulus, Bandung, Tulungagung. Terjadi ketidakseimbangan antara pasokan dan permintaan, yang berdampak pada produktivitas pertanian. Penggunaan pupuk urea yang berlebihan dapat merusak kesuburan tanah dan berkontribusi terhadap pencemaran lingkungan. Pupuk organik menjadi solusi alternatif bagi lingkungan dan kesehatan tanah jangka panjang. Selain itu dapat meningkatkan retensi air, dan keberagaman mikroba, sehingga mengurangi ketergantungan pada pupuk kimia. Salah satu metode yang menjanjikan untuk produksi pupuk organik adalah komposting, khususnya metode Takakura, yang menggunakan fermentasi terkontrol dari bahan organik. Selain itu, pengurangan ukuran sampah organik melalui perajangan dapat mempercepat proses dekomposisi, meningkatkan efisiensi dan kualitas kompos. Program pengabdian masyarakat di Desa Bulus ini bertujuan untuk mengedukasi petani tentang produksi pupuk organik yang efisien, menggunakan metode Takakura, tong komposter, dan pupuk cair organik. Pelatihan ini melibatkan 30 petani dan berfokus pada peningkatan efisiensi produksi pupuk melalui perajangan sampah organik. Evaluasi pasca-pelatihan menunjukkan peningkatan yang signifikan dalam pengetahuan dan keterampilan peserta, dengan rata-rata nilai meningkat sebesar 25-30 poin. Penggunaan bahan organik yang dipotong kecil-kecil mengurangi waktu pengomposan dan meningkatkan kualitas pupuk. Evaluasi program menunjukkan kepuasan yang tinggi di kalangan peserta, terutama terkait relevansi dan penerapan praktis materi yang disampaikan. Hasil ini menunjukkan bahwa produksi pupuk organik, bersama dengan teknik pengolahan sampah yang efisien, dapat mendukung pertanian yang berkelanjutan di komunitas pedesaan yang menghadapi kelangkaan pupuk.
Degradation and Corrosion of Biodegradable Metal Zn-xCa Supardi, Adri; Afifah, Miftachul Nur; Rudyardjo, Djony Izak
Indonesian Applied Physics Letters Vol. 1 No. 2 (2020): Indonesian Applied Physics Letters - Desember 2020
Publisher : Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/iapl.v1i2.23444

Abstract

Zn-based biodegradable metals (BMs) are considered as new potential in osteosynthetic implant devices. In this study Ca, which acts as an essential element in the human body, is used to improve the rate of Zn degradation and corrosion. The alloy was synthesized using the powder metallurgy method with two different processes: cold pressing followed by sintering (CP-S) and hot isostatic pressing (HIP). Microstructure properties, as well as in vitro degradation and corrosion were studied to determine the effect of adding Ca. Variations in the sample consist of Zn-0.5Ca, Zn-1Ca, Zn-1.5Ca and Zn-2Ca. The results and analysis of test data show that the addition of Ca increases the rate of corrosion and degradation of the materials. Better bonding and microstructure properties are obtained in Zn-2Ca samples which form CaZn13 phases and small porosity. As for the HIP process, a better microstructure is obtained compared to CP-S.
Ab Initio Molecular Dynamic Study of Structural and Electrical Properties of Gold Nanoparticle Fuad, Abdullah Aufa; Zaidan, Andi Hamim; Supardi, Adri
Indonesian Applied Physics Letters Vol. 3 No. 1 (2022): Indonesian Applied Physics Letters - June 2022
Publisher : Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/iapl.v3i1.40259

Abstract

The goal of this research is to know structural and electrical properties of gold nanoparticle (GNP) through ab initio molecular dynamic (AIMD) method. Structural properties are explained by the study of coordination number, bond angle distribution, and radial distribution function. Electrical properties are explained by the study of band structure and density of states. GNP samples used in this research are liquid, amorph, and icosahedral. The main software used for AIMD numerical calculation was SIESTA. Liquid GNP is dominated by coordination number of 9, amorf GNP 10, icosahedral GNP 18. Bond angle distribution of liquid GNP has 1 peak in 60o, amorph GNP has 4 peak in 60o, 90o, 120o, 175o, icosahedral GNP has complete all 6 peak. Internal spacing of liquid GNP is 2,7 í…, amorph is 2,8 í…, icosahedral is 1,9 í…. Study of band structure show that the width of liquid GNP bandgap is 0,040 eV, amorph is 0,071 eV, icosahedral is 0,200 eV. While the width of bandgap by density of state study for liquid GNP is 0,053 eV, amorph is 0,085 eV, icosahedral is 0,200 eV.
Effect of Nitrogen-Based Ion Implantation on The Characteristics of 316L Stainless Steel for Implant Materials Rudyardjo, M.Si., Drs. Djony Izak; Ikhsan, Firman Maulana; Supardi, Adri
Indonesian Applied Physics Letters Vol. 3 No. 2 (2022): Indonesian Applied Physics Letters - December 2022
Publisher : Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/iapl.v3i2.40951

Abstract

The effect of nitrogen-based ion implantation on the characteristics of 316l stainless steel for implant materials has been performed. This study aims to determine the effect of variations in implantation energy on the characteristics of the surface mechanical properties, density, and corrosion resistance of 316L stainless steel. The 316L stainless steel plate was implanted with nitrogen ions with an optimum dose of 5 x 1016 ions/cm2 for various implantation energies of 70, 75, 80, 85, and 90 keV. The implanted samples were then characterized by density, hardness, corrosion resistance, and microstructure tests using SEM-EDX. The test results showed an increase in hardness and corrosion resistance in pieces implanted with nitrogen ions and reached the optimum point at an implantation energy of 80 keV. This was also supported by the results of the SEM-EDX analysis, which showed an addition of nitrogen content from the maximum limit of the ASTM 2000 standard for 316L stainless steel of 0.1% to 2.2%. Whereas in the density test, the density of the material tends to be constant at the energy variations carried out but has increased after implantation.
Co-Authors Afifah, Miftachul Nur Amadea Kurnia Nastiti, Amadea Kurnia Aminatun Aminatun Andi Hamim Zaidan Arifianto, Deny Djony Izak Rudyardjo Djony Izak, Djony Izak Endah Purwanti Fuad, Abdullah Aufa Ikhsan, Firman Maulana Imam Sapuan Jan Ady Nuril Ukhrowiyah Rochman, Mochammad Nurur S Siswanto Solly Aryza