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All Journal Indonesian Journal of Geography Indonesian Journal of Tropical and Infectious Disease JFA (Jurnal Fisika dan Aplikasinya) Dental Journal (Majalah Kedokteran Gigi) Journal of Dentomaxillofacial Science Darmabakti Cendekia: Journal of Community Service and Engagements Journal of Electronics, Electromedical Engineering, and Medical Informatics Jurnal Abdi: Media Pengabdian Kepada Masyarakat Jurnal Pengabdian dan Pemberdayaan Masyarakat Indonesia
Retna Apsari
Universitas Airlangga
Humanities Computer Science & IT Control & Systems Engineering Dentistry Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Health Professions Languange, Linguistic, Communication & Media Medicine & Pharmacology Physics Public Health Social Sciences Other

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DIGITAL DETECTION SYSTEM DESIGN OF MYCOBACTERIUM TUBERCULOSIS THROUGH EXTRACTION OF SPUTUM IMAGE USING NEURAL NETWORK METHOD Arisgraha, Franky; Widiyanti, Prihartini; Apsari, Retna
Indonesian Journal of Tropical and Infectious Disease Vol 3, No 1 (2012)
Publisher : Institute of Topical Disease

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (154.924 KB)

Abstract

Tuberculosis (TBC) is an dangerous disease and many people has been infected. One of many important steps to control TBC effectively and efficiently is by increasing case finding using right method and accurate diagnostic. One of them is to detect Mycobacterium Tuberculosis inside sputum. Conventional detection of Mycobacterium Tuberculosis inside sputum can need a lot of time, so digitallydetection method of Mycobacterium Tuberculosis was designed as an effort to get better result of detection. This method was designed by using combination between digital image processing method and Neural Network method. From testing report that was done, Mycobacterium can be detected with successful value reach 77.5% and training error less than 5%.
BRADYCARDIA AND TACHYCARDIA DETECTION SYSTEM WITH ARTIFICIAL NEURAL NETWORK METHOD S, Delima Ayu; Arisgraha, Franky; Apsari, Retna
Indonesian Journal of Tropical and Infectious Disease Vol 3, No 2 (2012)
Publisher : Institute of Topical Disease

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (546.931 KB)

Abstract

Heart disease is one disease with high mortality rate in the world. Based on WHO records from 112 countries at 2004, the rate is 29% of all deaths each year. Medical devices are necessary to diagnose ones health as an indication of a disease. Nowadays, Indonesia still imports medical devices, for the diagnosis of heart failure, from abroad. This research aims to assist the monitoring of cardiac patients with bradycardia and tachycardia appearances of message condition patient’s heart rate at the same time. The results were displayed with the output of bradycardia condition of the heart rate (heart rate less than 60 beats per minute) or tachycardia (heart rate over 100 beats per minute). The system displayed the data read from the heart to the PC embedded system to monitor the condition of the patients under decisions based on backpropagation neural network. Classification system could be performed quite well, training data and by testing the 10 pieces, the optimal weight gain was 1727 iteration, the learning rate was 0.1122, and the error was below 0.001 (0.0009997).
Comparison of Machine Learning Algorithm For Urine Glucose Level Classification Using Side-Polished Fiber Sensor Riky Tri Yunardi; Retna Apsari; Moh Yasin
Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol 2 No 2 (2020): July
Publisher : Department of Electromedical Engineering, POLTEKKES KEMENKES SURABAYA and IKATEMI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/jeeemi.v2i2.1

Abstract

Urine glucose levels can be used to determine if glucose levels in the human body are too high, which may be a sign of diabetes. A non-invasive urine glucose classification model was conducted by using of the color of urine after benedict reaction to measure the level of glucose. The aim of this study is to classification urine glucose levels from a side-polished fiber sensor performed by using machine learning algorithms to get the best algorithm performance. By removing the coating and cladding this sensor is made of a polymer optical fiber. The measurement is focused on changes in the cladding refractive index which affects the amount of light transmitted. The machine learning system has been implemented using the Naïve Bayes Classifier, k-Nearest Neighbor Classifier, Logistic Regression, Random Forest, Artificial Neural Networks and Support Vector Machine. The measurement data on samples were collected from previous studies of a total of 120 urine samples for testing in this study. The results of the experiments performed with k-fold cross validation show that the neural network gets the accuracy results of 96.7%, the value of precision 0.967, recall 0.967, and F1-Measure 0.967. With cross validation leave-one-out, the experimental results show the classification algorithm with the best accuracy value that is at the random forest and artificial neural networks 0.975, precision 0.975, recall 0975, and F1-Measure 0.975. While the ANN algorithm is superior in achieving an accuracy value of 98.6%. Therefore, artificial neural networks are the best method for classifying glucose levels in the human body for fasting and postprandial urine tests.
Topography changes and thermal distribution at the Kelud crater after the 2014 Plinian eruption Wahyudi Wahyudi; Ari Setiawan; Heriansyah Putra; Herlan Darmawan; Imam Suyanto; Irwan Meilano; Irzaman irzaman; Maria Evita; Mitra Djamal; Moh Yasin; Nina Siti Aminah; Perdinan Perdinan; Retna Apsari; Wahyu Srigutomo; Wiwit Suryanto
Indonesian Journal of Geography Vol 52, No 3 (2020): Indonesian Journal of Geography
Publisher : Faculty of Geography, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ijg.51986

Abstract

Topography of a volcano crater can change due to endogenic processes such as deformation or eruption, or surface processes. Erosion and deposition are surface processes that may occur and gradually change the slope of the inner volcano crater. Here, we investigated erosion and deposition processes that occurred in the Kelud crater after the 2014 plinian eruption. We used high-resolution Digital Elevation Models (DEMs) and orthomosaic images derived by drone photogrammetry that acquired between September 2018 and July 2019. We obtained hundreds of aerial images which were reconstructed to obtain 3D models of Kelud’s crater by using Structure from Motion (SfM) technique. Results show erosions at alluvial fans that dominantly located at the east valleys of Kelud crater. The erosion removed the volcanic materials up to -5 m which transported and deposited close to the vicinity of the Kelud crater. The deposition process causes the increase of the Kelud crater lake up to 3 m. Moreover, we also mapped the thermal distribution of the Kelud crater lake by using low cost thermal camera. Our thermal investigation is able to identify some hotspots at the vicinity of the Kelud crater lake with range temperature of 43.7°C – 55.3°C, while the average apparent temperature of the Kelud crater lake is ~ 29°C. This high temperature area may indicate underwater active fractures that continuously release volcanic gasses which leads to convection heat transfer through Kelud’s water lake.
In vitro effect of Q-switched Nd:YAG laser exposure on morphology, hydroxyapatite composition and microhardness properties of human dentin Retna Apsari; Siswanto Siswanto; Anita Yuliati; Noriah Bidin
Dental Journal (Majalah Kedokteran Gigi) Vol. 44 No. 4 (2011): December 2011
Publisher : Faculty of Dental Medicine, Universitas Airlangga https://fkg.unair.ac.id/en

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (414.266 KB) | DOI: 10.20473/j.djmkg.v44.i4.p181-186

Abstract

Background: A Q-switched Nd:YAG laser was employed as a source of ablation. The fundamental wavelength of the laser is 1064 nm, with pulse duration of 8 nanosecond operates with uniphase mode of TEM00. In the following experiments, dentin samples (without caries and plaque) are exposed to pulse laser with Q-switching effect at various energy dose. Purpose: The aim of this study was to investigate the effect of laser ablation on dentin samples using Q-switched Nd:YAG laser exposure. Methods: The laser was operated in repetitive mode with frequency of 10 Hz. The energy dose of the laser was ranging from 13.9 J/cm2, 21.2 J/cm2 and 41.7 J/cm2. The target material comprised of human dentin. The laser was exposed in one mode with Q-switched Nd:YAG laser. Energy delivered to the target through free beam technique. The exposed human dentin was examined by using x-ray diffraction (XRD) and fluoresence scanning electron microscopy for energy dispersive (FESEM-EDAX). Microhardness of human dentin were examined by using microhardness vickers test (MVT). Results: The result obtained showed that the composition of hydroxyapatite of the dentin after exposed by Q-switched Nd:YAG laser are 75.02% to 78.21%, with microhardness of 38.7 kgf/mm2 to 86.6 kgf/mm2. This indicated that exposed pulsed Nd:YAG laser on the human dentin attributed to the phototermal effect. The power density created by the Q-switched Nd:YAG laser enables the heat to produce optical breakdown (melting and hole) associated with plasma formation and shock wave propagation, from energy dose of 21.2 J/cm2. From XRD analysis showed that the exposure of Nd:YAG laser did not involve in changing the crystal structure of the dentin, but due to photoablation effect. Conclusion: In conclusion, the application of Q-switched Nd:YAG laser as contactless drills in dentistry should be regarded as an alternative to the classical mechanical technique to improve the quality of the dentin treatment.Latar belakang: Mode Q-Switch pada laser Nd:YAG dapat menghasilkan fenomena ablasi pada dentin. Laser Nd:YAG yang digunakan mempunyai panjang gelombang 1064 nm, durasi pulsa 8 ns beroperasi dengan mode TEM00. Sampel dentin yang digunakan tanpa karies dan plak, yang dipapari laser dengan mode Q-switch dalam berbagai variasi dosis energi. Tujuan: Tujuan penelitian ini adalah mengamati efek ablasi dentin secara in vitro akibat paparan laser Nd:YAG Q-switch dengan pengamatan morfologi permukaan, komposisi hidroksiapatit, dan uji kekerasan mikro. Metode: Laser Nd:YAG Q-switch dengan frekuensi 10 Hz dan variasi dosis energi 13,9 J/cm2, 21,2 J/cm2 dan 41,7 J/cm2 ditembakkan pada sampel dentin manusia dengan teknik penyinaran bebas tanpa dilewatkan serat optik. Dentin yang terbuka diamati menggunakan x-ray diffraction (XRD) dan fluoresence scanning electron microscopy for energy dispersive (FESEM-EDAX). Kekerasan mikro dari dentin juga diamati menggunakan microhardness vickers test (MVT). Hasil: Hasil penelitian menunjukkan bahwa komposisi hidroksiapatit dari dentin setelah paparan laser Nd:YAG Q-Switch menunjukkan peningkatan berkisar 75,02% sampai 78,21% dibandingkan normal, dengan kekerasan mikro berkisar 38,7 kgf/mm2 sampai 86,6 kgf/mm2. Perubahan pada struktur mikro tersebut disebakan karena adanya efek fototermal. Kerapatan daya yang bervariasi berdasarkan variasi dosis energi menyebabkan efek panas pada dentin yang menyebabkan adanya fenomena optical breakdown, yang ditandai dengan munculnya efek leleh dan lubang pada sampel karena produksi plasma dan adanya gelombang kejut, mulai dosis 21,2 J/cm2. Berdasarkan uji XRD, efek yang muncul pada dentin tidak menyebabkan terjadinya perubahan struktur kristal hidroksiapatit, tetapi menyebabkan perubahan komposisi hidroksiapatit yang disebut dengan fotoablasi. Kesimpulan: Dapat disimpulkan bahwa penggunaan mode Q-switched pada laser Nd:YAG sebagai alat dengan kontak minimal dapat dijadikan teknik alternatif untuk meningkatkan kualitas perawatan dental.
DIGITAL DETECTION SYSTEM DESIGN OF MYCOBACTERIUM TUBERCULOSIS THROUGH EXTRACTION OF SPUTUM IMAGE USING NEURAL NETWORK METHOD Franky Arisgraha; Prihartini Widiyanti; Retna Apsari
Indonesian Journal of Tropical and Infectious Disease Vol. 3 No. 1 (2012)
Publisher : Institute of Topical Disease Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (154.924 KB) | DOI: 10.20473/ijtid.v3i1.200

Abstract

Tuberculosis (TBC) is an dangerous disease and many people has been infected. One of many important steps to control TBC effectively and efficiently is by increasing case finding using right method and accurate diagnostic. One of them is to detect Mycobacterium Tuberculosis inside sputum. Conventional detection of Mycobacterium Tuberculosis inside sputum can need a lot of time, so digitallydetection method of Mycobacterium Tuberculosis was designed as an effort to get better result of detection. This method was designed by using combination between digital image processing method and Neural Network method. From testing report that was done, Mycobacterium can be detected with successful value reach 77.5% and training error less than 5%.
BRADYCARDIA AND TACHYCARDIA DETECTION SYSTEM WITH ARTIFICIAL NEURAL NETWORK METHOD Delima Ayu S; Franky Arisgraha; Retna Apsari
Indonesian Journal of Tropical and Infectious Disease Vol. 3 No. 2 (2012)
Publisher : Institute of Topical Disease Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (546.931 KB) | DOI: 10.20473/ijtid.v3i2.206

Abstract

Heart disease is one disease with high mortality rate in the world. Based on WHO records from 112 countries at 2004, the rate is 29% of all deaths each year. Medical devices are necessary to diagnose one's health as an indication of a disease. Nowadays, Indonesia still imports medical devices, for the diagnosis of heart failure, from abroad. This research aims to assist the monitoring of cardiac patients with bradycardia and tachycardia appearances of message condition patient’s heart rate at the same time. The results were displayed with the output of bradycardia condition of the heart rate (heart rate less than 60 beats per minute) or tachycardia (heart rate over 100 beats per minute). The system displayed the data read from the heart to the PC embedded system to monitor the condition of the patients under decisions based on backpropagation neural network. Classification system could be performed quite well, training data and by testing the 10 pieces, the optimal weight gain was 1727 iteration, the learning rate was 0.1122, and the error was below 0.001 (0.0009997).
Pemanfaatan Sensor CCD dan Interferometer Michelson untuk Menentukan Koefisien Difusi Larutan Transparan Retna Apsari; Trisnaningsih Trisnaningsih; Umi Salamah
Jurnal Fisika dan Aplikasinya Vol 4, No 1 (2008)
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat, LPPM-ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (117.865 KB) | DOI: 10.12962/j24604682.v4i1.945

Abstract

Telah dilakukan penelitian untuk menentukan nilai koefisien difusi larutan transparan ammonium dihidrogen phosphate (NH4)H2PO4 menggunakan interferometer Michelson. Perubahan rumbai pada waktu-waktu tertentu diakibatkan oleh perbedaan beda lintasan optis karena perbedaan konsentrasi larutan yang diamati dengan sensor CCD (kamera digital). Perbedaan lintasan optis dihitung dengan mengukur jarak dua pusat rumbai pada waktu yang berbeda. Nilai koefisien difusi yang dihasilkan untuk konsentrasi 0,4981; 0,7469; 0,9959;1,5471; 1,9907 gmol/ℓ masing-masing sebesar (8,66 ± 0,03).10−6; (8,09 ± 0,07).10−6; (7,28 ± 0,10).10−6; (6,70 ± 0,06).10−6; (5,57 ± 0,01).10−6 cm2/s. Hasil penelitian menunjukkan bahwa sensor CCD kamera dapat digunakan untuk mengamati perubahan rumbai yang menunjukkan perbedaan beda lintasan optis. Interferometer Michelson dapat digunakan untuk menentukan nilai koefisien difusi larutan transparan dan hasilnya sesuai literatur.
Perubahan warna semen ionomer kaca setelah direndam dalam larutan teh hitam Wahyu Puri Wardhani; Asti Meizarini; Anita Yuliati; Retna Apsari
Journal of Dentomaxillofacial Science Vol. 9 No. 2 (2010): Formerly Jurnal Dentofasial ISSN 1412-8926
Publisher : DiscoverSys Inc.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15562/jdmfs.v9i2.242

Abstract

Microporosity in glass ionomer cement contributes on its colour stability. In oralcavity GIC interacts with saliva, foods, drinks, and the oral hygiene condition whichcould affect in colour stability. This study aimed to examine the colour change in GICafter immersion in black tea solution. Twenty eight disc specimens (6 mm diameterand 1 mm thickness). The colour measurements were recorded after storage in closedtube for 24 hours. Specimens were randomly devided into 4 groups of 7 specimens.Control specimens were kept in saline solution. The other 3 groups were immersed inblack tea solution for 5 minutes respectively for 5, 7, and 14 times, followed by colourchange measurement. Data were submitted to one-way ANOVA and LSD. There wassignificant colour change in GIC after immersion in black tea. The conclusion islonger GIC immersed in black tea lower the intensity. The lowest intensity changingwas the immersed for 5 minutes, 14 times daily.
WORKSHOP FOR THE UTILIZATION OF LASER AND TECHNOLOGY 4.0 TO USE THE FUNCTIONS OF THE PHYSICS LABORATORY FOR SMA, MA, AND SMK TEACHERS IN GRESIK DISTRICT Retna Apsari; Moh Yasin; Samian; Herri Trilaksana; Supadi Supadi; Pujiyanto Pujiyanto
Darmabakti Cendekia: Journal of Community Service and Engagements Vol. 4 No. 2 (2022): DECEMBER 2022
Publisher : Faculty of Vocational Studies, Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/dc.V4.I2.2022.87-95

Abstract

Background: Almost all of the development and research actors in the field of optical physics come from universities. Meanwhile, at the SMA, MA and SMK levels, this field is very poorly understood. This is due to the limited knowledge of optical physics and its supporting technology owned by the teachers. Objective: With this continuous and continuous training, it is hoped that it can provide new insights about understanding lasers and their use for technology 4.0 and can utilize laboratories in schools at the SMA, MA and SMK levels. Method: In practice, this activity was carried out virtually via Zoom which was attended by teachers at the SMA, MA and SMK levels, and was filled by several Physics lecturers at Airlangga University in delivering material in the form of lasers, laser diffraction, and 3D printing technology. Results: Partners get information related to increasing knowledge of the use of lasers and diffraction phenomena that can be conveyed and demonstrated to students, as well as the use of 3D printing technology so that teachers can convey and increase students' interest in learning Physics. Conclusion: Physics teachers at the SMA, MA and SMK levels, especially in Gresik Regency, feel quite helped by this activity because it has provided updated knowledge and information related to understanding and mastering the basic principles and applications of using lasers with a very satisfied level of satisfaction of about 47.73%, a satisfied category of about 45.27%, and the remaining 7% choosing to be less satisfied.
Co-Authors Anita Yuliati Antik Widi Anugrah Ari Setiawan ARI SETIAWAN Arya Dwi Kustiawan Asti Meizarini Azka Zakiyyatuddin Delima Ayu S Delima Ayu S, Delima Ayu Franky Arisgraha Franky Arisgraha Franky Arisgraha, Franky Herlan Darmawan Herlan Darmawan Herri Trilaksana Heru Dwi Cahyono Imam Suyanto Irwan Meilano Irwan Meilano Irzaman, Irzaman Maria Evita Maria Evita Mitra Djamal Mitra Djamal Moh Yasin Mohammad Ghani Mohammad Yasin Muhammad Rafi Nabil Arsalan Nayu Nurrohma Hidayah Nina Siti Aminah Nina Siti Aminah Noriah Bidin P. Perdinan Prihartini Widiyanti Prisma Megantoro Pujiyanto Pujiyanto Pujiyanto Putra, Heriansyah Rizki Putra Prastio Samian Sensius Seno Siswanto Siswanto supadi Supadi Supadi Suryanto, Wiwit Tahta Amrillah Trisnaningsih Trisnaningsih Umi Salamah Wahyu Puri Wardhani Wahyu Srigutomo Wahyu Srigutomo Wahyudi Wahyudi Wahyudi Wahyudi Yunardi, Riky Tri