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All Journal International Journal of Electrical and Computer Engineering IAES International Journal of Robotics and Automation (IJRA) IAES International Journal of Artificial Intelligence (IJ-AI) International Journal of Reconfigurable and Embedded Systems (IJRES) International Journal of Advances in Applied Sciences ComEngApp : Computer Engineering and Applications Journal Jupiter TELKOMNIKA (Telecommunication Computing Electronics and Control) Bulletin of Electrical Engineering and Informatics JSI: Jurnal Sistem Informasi (E-Journal) Indonesian Journal of Electrical Engineering and Informatics (IJEEI) Scientific Journal of Informatics ICON-CSE Annual Research Seminar Proceeding of the Electrical Engineering Computer Science and Informatics Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Jurnal Ilmiah Matrik JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI Jurnal Sisfokom (Sistem Informasi dan Komputer) Jurnal Plastik Rekonstruksi Bioscientia Medicina : Journal of Biomedicine and Translational Research Indonesian Journal of Electrical Engineering and Computer Science Jurnal Sistem Komputer dan Informatika (JSON) Jurnal Generic Bioscientia Medicina : Journal of Biomedicine and Translational Research Jurnal Penelitian Pendidikan
Siti Nurmaini
University Of Sriwijaya
Automotive Engineering Biochemistry, Genetics & Molecular Biology Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Materials Science & Nanotechnology Mathematics Medicine & Pharmacology Neuroscience Physics Other

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Segmentation of Squamous Columnar Junction on VIA Images using U-Net Architecture Akhiar Wista Arum; Siti Nurmaini; Dian Palupi Rini; Patiyus Agustiansyah; Muhammad Naufal Rachmatullah
Computer Engineering and Applications Journal Vol 10 No 3 (2021)
Publisher : Universitas Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (319.534 KB) | DOI: 10.18495/comengapp.v10i3.387

Abstract

Cervical cancer is the second most common cancer that affects women, especially in developing countries including Indonesia. Cervical cancer is a type of cancer found in the cervix, precisely in the squamous columnar junction (SCJ). Early screening for cervical cancer can be reduce the risk of cervical cancer. One of the popular screening tool methods for the detection of cervical pre-cancer is the Visual Inspection with Acetic Acid (VIA) method. This is due to the level of effectiveness, convenience and low cost. This paper proposes a method for the detection and segmentation of the SCJ region on VIA images using U-Net. This study is the first research conducted using the CNN method to perform segmentation tasks in the SCJ region. The best performance results are shown from the Pixel Accuracy, Mean IoU, Mean Accuracy, Dice coefficient, Precision and Sensitivity values, namely 90.86%, 56.5%, 75.69%, 34.09%, 41.24%, and 56.91%. Keywords: Cervical Pre-cancer, Screening VIA, SCJ, U-Net.
Multiclass Segmentation of Pulmonary Diseases using Convolutional Neural Network Muhammad Arnaldo; Siti Nurmaini; Hadipurnawan Satria; Muhammad Naufal Rachmatullah
Computer Engineering and Applications Journal Vol 11 No 1 (2022)
Publisher : Universitas Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (391.064 KB) | DOI: 10.18495/comengapp.v11i1.397

Abstract

Pulmonary disease has affected tens of millions of people in the world. This disease has also become the cause of death of millions of its sufferers every year. In addition, lung disease has also become the cause of other respiratory complications, which also causes the death of the sufferer. The diagnosis of pulmonary diseases through medical imaging is a significant challenge in computer vision and medical image processing. The difficulty is due to the wide variety in infected areas' shape, dimension, and location. Another challenge is to differentiate one lung disease from the other. Discriminating pulmonary diseases is a notable concern in the diagnosis of pulmonary disease. We have adopted the deep learning convolutional neural network in this study to address these challenges. Seven models were constructed using the Mask Region-based Convolutional Neural Network (Mask-RCNN) architecture to detect and segment infected areas within the lung region from CT scan imagery. The evaluation results show that the best model obtained scores of 91.98%, 85.25%, and 93.75% for DSC, MIoU, and mAP, respectively. The segmentation results are then visualized.
Identification of Indonesian Authors Using Deep Neural Networks Firdaus Firdaus; Irvan Fahreza; Siti Nurmaini; Annisa Darmawahyuni; Ade Iriani Sapitri; Muhammad Naufal Rachmatullah; Suci Dwi Lestari; Muhammad Fachrurrozi; Mira Afrina; Bayu Wijaya Putra
Computer Engineering and Applications Journal Vol 11 No 1 (2022)
Publisher : Universitas Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (402.465 KB) | DOI: 10.18495/comengapp.v11i1.398

Abstract

Author Name Disambiguation (AND) is a problem that occurs when a set of publications contains ambiguous names of authors, i.e. the same author may appear with different names (synonyms) in other published papers, or author (authors) who may be different who may have the same name (homonym). In this final project, we will design a model with a Deep Neural Network (DNN) classifier. The dataset used in this final project uses primary data sourced from the Scopus website. This research focuses on integrating data from Indonesian authors. Parameters accuracy, sensitivity and precision are standard benchmarks to determine the performance of the method used to solve AND problems. The best DNN classification model achieves 99.9936% Accuracy, 93.1433% Sensitivity, 94.3733% Precision. Then for the highest performance measurement, the case of Non Synonym-Homonym (SH) has 99.9967% Accuracy, 96.7388% Sensitivity, and 97.5102% Precision.
Target Localization With Fuzzy-Swarm Behavior Siti Nurmaini
ICON-CSE Vol 1, No 1 (2014)
Publisher : ICON-CSE

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Abstract

In this paper describes target localization using deliberates fuzzy and swarm behavior. Localization is the process of determining the positions of robots or targets in whole swarms environment. To localize the target in real environment, experiment is conducted utilize three identical robots with different color. Every robot has three infrared sensors, two gas sensors, 1 compass sensor and one X-Bee. A camera in the roof of robot arena is utilized to determine the position of each robot with color detection methods. Swarm robots are connected to a computer which serves as an information center. Fuzzy and swarm behavior are keeping the swarm robots position and direction with a certain distance to the target position. From the experimental results the proposed algorithm is able to control swarm robots, produce smooth trajectory without collision and have the ability to localize the target in unknown environment
Data Optimization on Multi Robot Sensing System with RAM based Neural Network Method Ahmad Zarkasi; Siti Nurmaini
ICON-CSE Vol 1, No 1 (2014)
Publisher : ICON-CSE

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Abstract

Monitoring the environment activities is an attractive Abstract— Monitoring the environment activities is an attractive thing for development. That is because the human life would affect the surrounding environtment. There’s a lot of research of environment has been done, one of those is the changes of air quality in urban areas.  To measure the level of air quality, the data and information from field measurements and laboratory analysis result was needed. This paper review the research result that focus on sensor data processing in multi robot using RAM based neural network. There are 11 pattern input data were processed by temperature data optimization from 250C until 350C, humadity data from 20% until 60% and gas data from 350ppm until 450ppm. The obtained result is from 8 bits and 9 bits become 6 bits in certain level with optimazion percentage is25% and 33,3%. This result effect to the computationan load, it’s become more simple, the execution time and data communication becomes faster.    
Automous Mobil Robot Pengikut Bola Menggunakan Sensor Kamera Dengan Metode Pengolahan Citra Circle Hough Dan Camshift Wisnu Adi Putra; Siti Nurmaini
Annual Research Seminar (ARS) Vol 1, No 1 (2015)
Publisher : Annual Research Seminar (ARS)

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Abstract

Identifikasi lingkaran pada ruang 2D memerlukan tahapan yaitu konversi ke gambar dari RGB ke format HSL, grayscaling,  deteksi  tepi  dan  deteksi  lingkaran  menggunakan  metode algoritma circle  hough  transform.    Informasi  yang didapatkan dari algoritma circle hough transform adalah titik tengah, dan radius lingkaran. Hasil  pengujian  menggunakan  video  bola  berwarna  pada  lingkungan  2D  menunjukkan  algoritma  hough transform  mampu  mendeteksi  bentuk  lingkaran  pada  bola,termasuk  posisi  tengah  lingkaran,  dalam  kondisi pencahayaan yang kurang baik. 
Robot Swarm Leader Follower Menggunakan Algoritma Logika Fuzzy Interval Tipe 2 Gita Fadila Fitriana; Husnawati Husnawati Husnawati; Siti Nurmaini
Annual Research Seminar (ARS) Vol 2, No 1 (2016)
Publisher : Annual Research Seminar (ARS)

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Abstract

Penelitian ini dilakukan pada robot swarm dengan metode leader follower menggunakan kontrol gerak robot dengan Algoritma Logika Fuzzy Interval Tipe (LFIT) 2. Robot bergerak dengan secara beriringan, dimana robot dibelakang disebut robot follower dan robot pemimpin disebut sebagai leader. Algoritma Logika Fuzzy Interval Tipe (LFIT) 2 digunakan untuk sistem navigasi pada robot leader dan follower dalam menghindari halangan, bergerak dalam kelompok dan mencapai target. Hasil yang dicapai pada penelitian ini berupa surface yang lebih baik daripada algoritma Logika Fuzzy Tipe (LFT) 1. 
Optimisasi Mobile Robot Pendeteksi Sumber Gas Menggunakan Metode Hybrid Husnawati Husnawati; Gita Fadila Fitriana; Siti Nurmaini
Annual Research Seminar (ARS) Vol 2, No 1 (2016)
Publisher : Annual Research Seminar (ARS)

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Abstract

Mendeteksi kebocoran gas sejak awal dengan menggunakan mobile robot berguna agar kebocoran gas tersebut dapat segera ditanggulangi. Sebuah navigasi yang baik diperlukan dari mobile robot untuk membentuk sebuah sistem yang handal. Pada penelitian ini akan dibahas mengenai ulasan dari beberapa metode yang pernah digunakan pada navigasi penciuman mobile robot dalam melokalisasi sumber kebocoran gas. Seperti dengan melakukan pemetaan pada jalur robot, atau menggunakan metode logika fuzzy yang berfungsi sebagai pengendali yang kemudian dikombinasikan dengan metode PSO (Particle Swarm Optimization) sebagai optimisasi mobile robot dalam menemukan target, sehingga pada hasil akhir dari penelitian ini menunjukkan bahwa metode – metode yang akan digunakan pada mobile robot dalam melokalisasi mampu mendeteksi sumber kebocoran dan mendekati sumber gas dengan baik, serta mobile robot juga dapat menghindari halangan – halangan yang berkemungkinan muncul di sepanjang jalur lintasan.
Penerapan Metode K-Nearest Neighbor dalam Memprediksi Masa Studi Mahasiswa (Studi Kasus : Mahasiswa STIKOM Dinamika Bangsa) Jasmir Jasmir; Dodo Zaenal Abidin; Siti Nurmaini; Reza Firsandaya Malik
Annual Research Seminar (ARS) Vol 3, No 1 (2017): ARS 2017
Publisher : Annual Research Seminar (ARS)

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Abstract

Ledakan pertumbuhan data mahasiswa yang terjadi dalam lembaga perguruan tinggi akan menjadi tumpukan data yang sangat luar biasa. Dengan adanya tumpukan data ini penulis mencoba memanfaatkannya untuk mencari informasi baru. Di STIKOM Dinamika Bangsa tumpukan data yang digunakan merupakan data akademik yaitu data IP (Indeks Prestasi) mahasiswa dari semester satu sampai semester enam. Dengan adanya data ini, penulis melakukan prediksi tentang masa studi mahasiswa. Data dari semester satu sampai semester enam ini akan menjadi dasar perhitungan prediksi yang penulis lakukan dengan tujuan dapat menemukan informasi mahasiswa yang bisa lulus tepat waktu dan mahasiswa yang lulus tidak tepat waktu dengan menggunakan salah satu teknik data mining yaitu metode klasifikasi k-Nearest Neighbor dengan  bantuan Microsoft excel.  Hasil dari penelitian ini adalah nilai prediksi kelulusan mahasiswa dengan berbagai nilai k nya.
Penerapan Metode Pelatihan Langsung (Doing by Learning) untuk Siswa SMA di Kecamatan Ilir Timur 1 Palembang Siti Nurmaini; Huda Ubaya; Bambang Tutuko; Firdaus Firdaus; Ahmad Zarkasi
Annual Research Seminar (ARS) Vol 2, No 2 (2016): Special Issue : Penelitian, Pengabdian Masyarakat
Publisher : Annual Research Seminar (ARS)

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Abstract

Robot halang rintang (avoider)  sebagai media pengenalan bidang robotika bagi bagi sekolah menengah atas Muhammadiyah 1 Palembang. Pelatihan ini akan dititik beratkan pada bagaiamana merakit dan membuat suatu aplikasi robot sederhana yang dilengkapi dengan sensor infra merah, kendali motor yang pemrogramannya menggunakan bahasa pemrograman C. Metode kegiatan yang digunakan dalam kegiatan ini yaitu metode pelatihan langsung (learning by doing) berupa pemaparan/presentasi, tutorial serta diskusi tentang bidang ilmu robotika, teknik disain sedernaha sebuah robot dan menjalankan aplikasi robot Halang Rintang (avoider) yang telah ditentukan. Sebelumnya diadakan pre test yang berupa tanya jawab, untuk mengetahui sejauh mana pengetahuan peserta sebelum mengikuti pelatihan dan praktek yang menitikberatkan pada implementasi robot Halang Rintang (avoider).  Post test dilakukan dengan menjalankan aplikasi yang telah dibuat oleh siswa pada halangan yang telah disiapkan . Untuk mengetahui tingkat penyerapan terhadap materi pelatihan yang diberikan oleh para pengajar atau pelatih dan bimbingan konsultasi, robot yang telah dibuat harus bekerja dengan baik sesuai dengan arahan yang diberikan.
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