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Implementasi Prilaku Berkelompok pada Swarm Robots Menggunakan Teknik Logika Fuzzy-Particle Swarm Optimization Siti Nurmaini
Generic Vol 8 No 2 (2013): Vol 8, No 2 (2013)
Publisher : Fakultas Ilmu Komputer, Universitas Sriwijaya

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Abstract

Dalam paper ini dijelaskan teknik komunikasi swarm robot untuk mencapai suatu target yang telah ditentukan. Pada percobaan ini digunakan 3 robot sederhana yang identik dengan 3 sensor infra-red, sensor kompas dan X-Bee. Untuk mencapai target dan menentukan posisi dari masing-masing robot digunakan sebuah sensor kamera dengan metode deteksi perbedaan warna. Swarm robot dan sensor kamera terhubung dengan komputer yang berfungsi sebagai pusat informasi dan penyimpan data. Untuk menghasilkan kinerja yang baik maka teknik Logika Fuzzy-Particle Swarm Optimization (PSO) digunakan dalam penelitian ini. Dari pengujian yang telah dilakukan diperoleh hasil yaitu ketiga robot dapat menemukan posisi terbaik, menghasilkan pergerakan yang halus dan mampu mencapai target yang telah ditentukan.
Implementation of Facial Landmarks Detection Method for Face Follower Mobile Robot Ahmad Zarkasi; Fachrudin Abdau; Agung Juli Anda; Siti Nurmaini; Deris Stiawan; Bhakti Yudho Suprapto; Huda Ubaya; Rizki Kurniati
Generic Vol 14 No 1 (2022): Vol 14, No 1 (2022)
Publisher : Fakultas Ilmu Komputer, Universitas Sriwijaya

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Abstract

This paper presents a new technique for facesrecognition based on auto-extracted facial marks. Our landmarks are those related to the outer corner of the nose. With extracted landmarks, a triplet of areas and their associated geometric invariance are formed. Where later the points on the outer corners of the eyes and nose will be connected with lines that will form a triangle. Later the line length will be calculated using the Euclidean Distance formula so that the area value of the triangle can be obtained. Then the data obtained will be trained using the Support Vector Machine algorithm so that they can recognize faces. And later the system will be implanted into a mobile robot with raspberry.
Epidemiology and Risk Factors for Cervical Cancer Patiyus Agustiansyah; Rizal Sanif; Siti Nurmaini; Irfannuddin; Legiran
Bioscientia Medicina : Journal of Biomedicine and Translational Research Vol. 5 No. 7 (2021): Bioscientia Medicina: Journal of Biomedicine & Translational Research
Publisher : HM Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32539/bsm.v5i7.326

Abstract

Cervical cancer in Indonesia in 2018 ranks second in cancer in women in Indonesia with an incidence rate of 348.809 cases with a mortality rate of nearly 60% of the incidence, namely 207.210 deaths. Deaths from cervical cancer are projected to continue to increase and are estimated to reach 12 million deaths by 2030 if not treated properly. The incidence of cervical cancer in Indonesia is estimated to have 180.000 new cases per year and the death rate is thought to reach 75% in the first year. This death is mainly associated with the majority of newly diagnosed patients who are already at an advanced stage (70% of cases) and are already at the terminal stage at the time of diagnosis.
Human Papilloma Virus: Biomolecular Aspect Patiyus Agustiansyah; Rizal Sanif; Siti Nurmaini; Irfannuddin; Legiran
Bioscientia Medicina : Journal of Biomedicine and Translational Research Vol. 5 No. 8 (2021): Bioscientia Medicina: Journal of Biomedicine & Translational Research
Publisher : HM Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32539/bsm.v5i8.327

Abstract

HPV is a sexually transmitted virus, and high-risk HPV DNA was found in 99.7%of cervical cancer specimens. Within 12 to 24 months of exposure to the virus,90% of HPV infections disappear or become inactive. However, infection with high-risk strains of HPV persist which then increases the risk of progression to cervicalcancer. The detection of precancerous lesions consists of various methods,including pap smear (conventional or liquid-base cytology / LBC), visualinspection of acetic acid (IVA), visual inspection of lugoliodine (VILI), and HPV DNAtest (genotyping / hybrid capture).
WHO Global Strategy in Eradication of Cervical Cancer Patiyus Agustiansyah; Rizal Sanif; Siti Nurmaini; Irfannuddin; Legiran
Bioscientia Medicina : Journal of Biomedicine and Translational Research Vol. 5 No. 9 (2021): Bioscientia Medicina: Journal of Biomedicine & Translational Research
Publisher : HM Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32539/bsm.v5i9.328

Abstract

WHO has created a global strategy to accelerate the elimination of cervical canceras a public health problem and a world burden. Cervical cancer is a disease thatcan be prevented and cured, as long as it is detected early and treated effectively.Cervical cancer is also a disease that reflects global injustice. The burden isgreatest in low- and middle-income countries, where access to public healthservices is limited and screening and treatment for the disease has not been widelyapplied. In 2018, nearly 90% of all deaths worldwide occurred in low and middleincome countries. Furthermore, the proportion of women with cervical cancer whodie from the disease is more than 60% in these countries, more than double thenumber in many high-income countries, which is only 30%.
Screening for Cervical Cancer Patiyus Agustiansyah; Rizal Sanif; Siti Nurmaini; Irfannuddin; Legiran
Bioscientia Medicina : Journal of Biomedicine and Translational Research Vol. 5 No. 10 (2021): Bioscientia Medicina: Journal of Biomedicine & Translational Research
Publisher : HM Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32539/bsm.v5i10.329

Abstract

Screening is a public health intervention administered to a target population without symptoms. Screening is not performed to diagnose a disease, but to identify individuals with a higher likelihood of developing the disease itself or a precursor to the disease. Not all diseases are suitable for screening programs. The following criteria help determine whether a disease is suitable for a screening program: (1) The disease is bound to have serious consequences. (2) The disease must have a detectable preclinical and asymptomatic stage. (3) Treatment at the preclinical stage should influence the long-term course and prognosis of the disease being screened. (4) Care must be available and accessible to those who have a positive screening test. History, screening tests and treatment options for cervical pre-cancer meet these criteria.
Congenital Heart Diseases in Pregnancy Nuswil Bernolian; Radiyati Umi Partan; Siti Nurmaini; Cindy Kesty; Benedictus Wicaksono Widodo
Bioscientia Medicina : Journal of Biomedicine and Translational Research Vol. 5 No. 12 (2021): Bioscientia Medicina: Journal of Biomedicine & Translational Research
Publisher : HM Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32539/bsm.v5i4.376

Abstract

This research aims to shed light into congenital heart diseases, the pathophysiology, and the ultrasonographic findings of congenital heart diseases. Congenital heart diseases are a major health concern, affecting 1.35 million children born every year. Ventricular septal defect, atrial septal defect, and atrioventricular septal defect are found in 57.9% cases of congenital heart diseases. The risk factors include consanguineous marriage, family history of congenital heart diseases, old maternal and paternal age, and exposure to teratogens, and genetic factors. Missteps in cardiac development are the main pathophysiology of congenital heart diseases. Ultrasonography screening in 18–22 weeks gestational age is utilized to screen. Follow-up screening can increase detection rate to 80%. This study has limitation of only discussing most common congenital heart diseases and did not delve into rarer types of congenital heart diseases and did not discuss impacts or burden of congenital heart diseases in adulthood and health comorbidities associated. This literature review is beneficial for general practitioners and obstetricians focusing in maternal fetal medicine.
Cardiac Septal Defects in Children: Hemodynamics, Clinical Manifestations and Detection Ria Nova; Sukman Tulus Putra; Siti Nurmaini; Radiyati Umi Partan
Bioscientia Medicina : Journal of Biomedicine and Translational Research Vol. 5 No. 6 (2021): Bioscientia Medicina: Journal of Biomedicine & Translational Research
Publisher : HM Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32539/bsm.v5i6.393

Abstract

Cardiac septal defect in children is one of the congenital heart defects characterized by atrial septal defects (ASD), ventricular septal defects (VSD) and defects in both atrial and ventricular septum (AVSD). The hemodynamic changes that occur are caused by a left to the right shunt. Differences in location, size of the defect and pulmonary vascular resistance make hemodynamic differences and clinical manifestations between the three types of cardiac septal defects. Detection of cardiac septal defects can be done by clinical examination by listening to the characteristic heart sounds and murmurs for each defect. However, clinical examination alone is often still difficult to determine the type of cardiac septal defect so that several supporting examinations such as photothorax, ECG, echocardiogram and cardiac catheterization need to be done to help establish the diagnosis.
Performance Comparison of Feature Face Detection Algorithm on The Embedded Platform Ahmad Zarkasi; Siti Nurmaini; Deris Stiawan; Bhakti Yudho Suprapto; Huda Ubaya; Rizki Kurniati
Computer Engineering and Applications Journal Vol 11 No 2 (2022)
Publisher : Universitas Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (405.575 KB) | DOI: 10.18495/comengapp.v11i2.405

Abstract

The intensity of light will greatly affect every process carried out in image processing, especially facial images. It is important to analyze how the performance of each face detection method when tested at several lighting levels. In face detection, various methods can be used and have been tested. The FLP method automates the identification of the location of facial points. The Fisherface method reduces the dimensions obtained from PCA calculations. The LBPH method converts the texture of a face image into a binary value, while the WNNs method uses RAM to process image data, using the WiSARD architecture. This study proposes a technique for testing the effect of light on the performance of face detection methods, on an embedded platform. The highest accuracy was achieved by the LBPH and WNNs methods with an accuracy value of 98% at a lighting level of 400 lx. Meanwhile, at the lowest lighting level of 175 lx, all methods have a fairly good level of accuracy, which is between 75% to 83%.
Delineation of electrocardiogram morphologies by using discrete wavelet transforms Annisa Darmawahyuni; Siti Nurmaini; Hanif Habibie Supriansyah; Muhammad Irham Rizki Fauzi; Muhammad Naufal Rachmatullah; Firdaus Firdaus; Bambang Tutuko
Indonesian Journal of Electrical Engineering and Computer Science Vol 22, No 1: April 2021
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v22.i1.pp159-167

Abstract

The accuracy of electrocardiogram (ECG) delineation can affect the precise diagnose for cardiac disorders interpretation. Some nonideal ECG presentation can make a false decision in precision medicine. Besides, the physiological variation of heart rate and different characteristics of the different ECG waves in terms of shape, frequency, amplitude, and duration is also affected. This paper proposes a discrete wavelet transform (DWT), non-stationary signal analysis for noise removal, and onset-offset of PQRST feature extraction. A well-known database from Physionet: QT database (QTDB) is used to validate the DWT function for detecting the onset and offset of P-wave, QRS-complex, and T-wave localization. From the results, P-peak detection gets the highest result that achieves 2.19 and 13.62 milliseconds of mean error and standard deviation, respectively. In contrast, Toff has obtained the highest error value due to differences in the T-wave morphology. It can be affected by inverted or biphasic T-waves and others.
Co-Authors A. Darmawahyuni A. I. Sapitri Ade Iriani Sapitri Ade Iriani Sapitri Ade Iriani Sapitri Ade Silvia Ade Silvia Ade Silvia Handayani Aditya Aditya Aditya, Aditya Agung Juli Anda Agus Triadi Agus Triadi Agus Triadi Ahmad Zarkasi Ahmad Zarkasi Ahmad Zarkasi Ahmad Zarkasih Akhiar Wista Arum Andre Herviant Juliano Anggun Islami Anggun Islami Annisa Darmawahyuni Ardy Hidayat Arief Cahyo Utomo Armansyah, Risky Arnaldo, Muhammad Arum, Akhiar Wista Aulia Rahman Thoharsin B. Tutuko Bambang Tutuko Bambang Tutuko Bayu Wijaya Putra Benedictus Wicaksono Widodo Bhakti Yudho Suprapto Bhakti Yudho Suprapto Bhakti Yudho Suprapto Cindy Kesty Darmawahyuni, Annisa Darmawahyuni, Annisa Deris Stiawan Dewi, Kemala Dewi, Tresna Dian Palupi Rini Dian Palupi Rini Dian Palupi Rini Dimas Budianto Dinda Lestarini Dodo Zaenal Abidin Dwi Mei Rita Sari Ekawati Prihatini Erliza Yuniarti Fachrudin Abdau Fahreza, Irvan Falah Yuridho Firdaus Firdaus Firdaus Firdaus Firdaus Firdaus Firdaus Firdaus Firdaus Firdaus Firdaus Firdaus, Firdaus Firsandaya Malik, Reza Ganesha Ogi GITA FADILA FITRIANA Hadipurnawan Satria Hanif Habibie Supriansyah Huda Ubaya Huda Ubaya Huda Ubaya Husnawati Husnawati Husnawati Husnawati Husnawati Husni, Nyayu Latifah Husni, Nyayu Latifah Irfannuddin Irfannuddin Irsyadi Yani Irvan Fahreza Iryadi Yani Iryadi Yani, Iryadi Isdwanta, Rendy Islami, Anggun Jasmir Jasmir Jasmir Jasmir Jordan Marcelino Kemala Dewi Khairunnisa, Cholidah Zuhroh Krisna Murti Kurniawan, Anggy Tias Kurniawan, Anggy Tyas Legiran Legiran M. Hashim, Siti Zaiton M. N. Rachmatullah M. Naufal Rachmatullah Maharani, Masayu Nadila Marcelino, Jordan Masayu Nadila Maharani Mira Afrina Muhamad Akbar Muhammad Afif Muhammad Anshori Muhammad Arnaldo Muhammad Fachrurrozi Muhammad Fachrurrozi Muhammad Irham Rizki Fauzi Muhammad Naufal Rachmatullah Muhammad Naufal, Muhammad Muhammad Roriz Muhammad Taufik Roseno, Muhammad Taufik Muzakkie, Mufida Nadia Ayu Oktabella, nadia ayu oktabella Novi Yusliani Nurqolbiah, Fatihani Nuswil Bernolian Nuswil Bernolian Nyayu Latifah Husni Nyayu Latifah Husni, Nyayu Latifah Oky Budiyarti Osvari Arsalan Passa, Rahma Satila Patiyus Agustiansyah PATIYUS AGUSTIANSYAH, PATIYUS Pola Risma PP Aditya, PP, Aditya, PP Pratama, Jimiria Putri Mirani Rachmamtullah, Muhammad Naufal Radiyati Umi Partan Radiyati Umi Partan Radiyati Umi Partan Radiyati Umi Partan, Radiyati Umi Rahma Satila Passa Rendy Isdwanta Renny Amalia Pratiwi Reza Firsandaya Malik Reza Firsandaya Malik Ria Nova Ricy Firnando Ricy Firnando Ricy Firnando Rizal Sanif Rizki Kurniati Rossi Passarella Sahat Pangidoan Samsuryadi Samsuryadi Saparudin Saparudin Saparudin, Saparudin Sapitri, Ade Iriani Saputra, Tommy Sari, Dwi Mei Rita Sarifah Putri Raflesia Sarifah Putri Raflesia, Sarifah Putri Sastradinata, Irawan Sigit Prasetyo Noprianto Siti Zaiton Siti Zaiton M. Hashim Soedjana, Hardi Siswo Sri Desy Siswanti Suci Dwi Lestari Suci Dwi Lestari Suhandono, Nugroho Sukemi Sukemi Sukemi Sukemi Sukemi Sukman Tulus Putra Sutarno Sutarno Syamsul Arifin Syaputra, Hadi Tio Artha Nugraha Tresna Dewi Tresna Dewi Tri Undari Triadi, Agus Triadi, Agus Varindo Ockta Keneddi Putra Velia Yuliza Winda Kurnia Sari Wisnu Adi Putra Yani, Iryadi Yesi Novaria Kunang Yurni Oktarina Zaqqi Yamani