Garuda - Garba Rujukan Digital

p-Index From 2021 - 2026

10.849

P-Index

This Author published in this journals

All Journal Jurnal Ilmu Komputer Teknika Jurnal Informatika Sinergi Telematika Jurnal Informatika dan Teknik Elektro Terapan InfoTekJar : Jurnal Nasional Informatika dan Teknologi Jaringan Sistemasi: Jurnal Sistem Informasi Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Jurnal CoreIT Information Management For Educators And Professionals (IMBI) Informatika Pertanian Jurnal SOLMA JOURNAL OF APPLIED INFORMATICS AND COMPUTING Jurnal Komtika (Komputasi dan Informatika) JTAM (Jurnal Teori dan Aplikasi Matematika) Jurnal Inotera Jurnal Infomedia MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Jurnal Informatika Kaputama (JIK) Jurnal Sistem Informasi Kaputama (JSIK) Jurnal Sains Riset Jurnal Sosial Humaniora Sigli JTIK (Jurnal Teknik Informatika Kaputama) JOURNAL OF INFORMATICS AND COMPUTER SCIENCE G-Tech : Jurnal Teknologi Terapan Jurnal Sistem Komputer dan Informatika (JSON) Medika Teknika : Jurnal Teknik Elektromedik Indonesia Idealis : Indonesia Journal Information System International Journal of Engineering, Science and Information Technology Conten : Computer and Network Technology TECHSI - Jurnal Teknik Informatika Sisfo: Jurnal Ilmiah Sistem Informasi Jurnal Bangun Abdimas Journal Of Artificial Intelligence And Software Engineering Jurnal Malikussaleh Mengabdi Jurnal Komtika (Komputasi dan Informatika)

Nurdin Nurdin

Universitas Malikussaleh

Author-ID : 2490025

Religion Agriculture, Biological Sciences & Forestry Arts Humanities Astronomy Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry 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 Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Physics Public Health Social Sciences Transportation Other

Published : 109 Documents Claim Missing Document

Claim Missing Document

Articles

1 2 3 4 5

SISTEM PENGUJIAN HAFALAN AL-QUR’AN STUDI KASUS SURAH AL-ANFAAL AYAT 1-11 MELALUI SUARA MENGGUNAKAN METODE TRANSFORMASI FOURIER DISKRIT DAN TRANSFORMASI SINUS DISKRIT Fadlisyah Fadlisyah; Nurdin Nurdin; Intan Nuriani
TECHSI - Jurnal Teknik Informatika Vol 10, No 1 (2018)
Publisher : Teknik Informatika Universitas Malikussaleh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/techsi.v10i1.603

Al-Qur’an adalah Kalamullah, sebagai mu’jizat, yang telah diturunkan kepada penutup para Nabi dan Rasul Muhammad dengan perantara Jibril yang termaktub dalam mushaf-mushaf yang dinukil sampai kepada kita secara mutawatir. Pada umumnya didalam dunia pengolahan suara untuk mengenali sebuah suara dapat diberikan beberapa pelatihan terlebih dahulu. Didalam penelitian ini pengenalan suara surah AL- Anfaal ayat 1-11 dengan dua algoritma yang berbeda, yaitu algoritma Discrete sine Transform (DST) dan Discrete Fourier Transform (DFT). Hasil penelitian menunjukkan bahwa sistem Perbandingan Kinerja Algoritma Discrete sine Transform (DST) Dan Discrete Fourier Transform (DFT) untuk sistem pengujian hafalan Al-Qur’an Surah Al- Anfaal ayat 1-11, memiliki kisaran deteksi kebenaran sebesar 73 % untuk algoritma DST sedangkan dengan menggunakan algoritma DFT memiliki kisaran deteksi kebenaran sebesar 45%, sehingga dari persentase menunjukkan bahwa dari segi hasil tingkat deteksi tersebut menyatakan bahwa algoritma Discrete sine Transform (DST) lebih efisien. Sistem ini memiliki beberapa kelemahan yaitu memiliki tingkat kesalahan yang tinggi, dapat dilihat pada unjuk kerja dari sistem pengujian hafalan Al-Qur’an Surah Al-Anfaal ayat 1-11 melalui suara, proses keakurasiannya dapat dilakukan dengan memberikan pelatihan lebih lanjut dengan tambahan data training yang lebih banyak dan lebih bervariasi. Walaupun begitu, sistem hafalan Al-Qur’an ini tidak memungkiri pentingnya guru untuk membimbing dalam belajar membaca Al-Qur’an sesuai dengan hukum-hukum Tajwid yang benar. Kata kunci : Discrete sine Transform (DST), Discrete Fourier Transform (DFT).

Pentingnya Penulisan Karya Ilmiah Bereputasi Bagi Para Dosen Universitas Malikussaleh Dahlan Abdullah; Nurdin; Fadlisyah; M Farhan Aulia Barus; Muhammad Riansyah
Jurnal SOLMA Vol. 10 No. 3 (2021)
Publisher : Universitas Muhammadiyah Prof. DR. Hamka (UHAMKA Press)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22236/solma.v10i3.9412

Background: Kewajiban dosen selain melaksanakan pendidikan dan pengajaran adalah melakukan penelitian dan kemudian mempublikasikannya pada berkala ilmiah. Jumlah publikasi pada berkala ilmiah merupakan salah satu indikator kepakaran dosen pada bidang yang dia tekuni. Namun, jumlah publikasi karya ilmiah yang dilakukan oleh dosen-dosen Universitas Malikussaleh relatif sedikit. Metode: Ada dua kemungkinan penyebab hal ini, informasi yang minim tentang sumber-sumber pendanaan penelitian dan belum terasahnya ketampilan menulis dosen. Berdasarkan pemikiran tersebut maka penulis berusaha untuk melaksanakan kegiatan pengabdian kepada masyarakat (intern) berupa pelatihan penulisan karya ilmiah bagi dosen di Universitas Malikussaleh dengan melakukan penyegaran ketrampilan menulis karya ilmiah dan penyebarluasan informasi sumber pendanaan penelitian, khususnya yang berasal dari Universitas Malikussaleh. Hasil: Pendanaan sangat dibutuhan oleh penulis, untuk meningkatkan ketrampilan menulias karya ilmiah dosen di Universitas Malikussaleh dan sekaligus melaksanakan kegiatan pengabdian kepada masyarakat bagi penulis. Semoga proposal pengabdian kepada masyarakat ini bermanfaat. Kesimpulan: Tingginya minat Publikasi para dosen maka diperlukan berbagai kegiatan pelatihan dan strategi pendanaan yang memadai.

Be Wise in Using Social Media and Implementing the UU-ITE Against Hoax Prevention Fadlisyah; Dahlan Abdullah; Nurdin; M Farhan Aulia Barus; Muhammad Riansyah
Jurnal SOLMA Vol. 10 No. 3 (2021)
Publisher : Universitas Muhammadiyah Prof. DR. Hamka (UHAMKA Press)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22236/solma.v10i3.9451

Background: Media sosial merupakan salah satu media yang berkembang paling pesat. Sekitar 70% dari pengguna internet diseluruh dunia, juga aktif dalam media sosial. Media sosial seperti Facebook dan Twitter, sampai saat ini masih sangat tinggi tingkat penggunanya. Penggunaan media sosial telah menyebabkan segudang masalah apalagi dengan penerapan UU ITE yang belakangan ini juga sangat sering dibicarakan di Indonesia, antara lain pergeseran budaya dari budaya tradisional menjadi budaya digital. Generasi yang tumbuh dalam budaya digital memiliki kecenderungan bersifat menyendiri (desosialisasi). Metode: Pendekatan yang akan dilakukan adalah dengan memberikan pembelajaran atau pengetahuan tentang pentingnya orang tua, memiliki kemampuan melek media, atau bersikap kritis terhadap media dan arti pentingnya media sosial, UU ITE dan Hoax. Hasil: Namun bagaikan pedang bermata dua, disatu sisi media sosial juga memiliki banyak manfaat. Pengabdian ini dibuat untuk membahas segala permasalahan yang ditimbulkan pada media sosial dan bertujuan agar media sosial dapat digunakan dengan lebih bijak dengan menggunakan metode literatur bersifat deskriptif-analitis dan tidak bertentangan dengan UU ITE. Kesimpulan: Hasil dan kesimpulan dalam pengabdian ini, semoga bisa dirasakan oleh masyarakat umum yang ada di sekitar kampus Universitas Malikussaleh.

Design of A Real-Time Object Detection Prototype System with YOLOv3 (You Only Look Once) Chichi Rizka Gunawan; Nurdin Nurdin; Fajriana Fajriana
International Journal of Engineering, Science and Information Technology Vol 2, No 3 (2022)
Publisher : Master Program of Information Technology, Universitas Malikussaleh, Aceh Utara, Indonesia

Object detection is an activity that aims to gain an understanding of the classification, concept estimation, and location of objects in an image. As one of the fundamental computer vision problems, object detection can provide valuable information for the semantic understanding of images and videos and is associated with many applications, including image classification. Object detection has recently become one of the most exciting fields in computer vision. Detection of objects on this system using YOLOv3. The You Only Look Once (YOLO) method is one of the fastest and most accurate methods for object detection and is even capable of exceeding two times the capabilities of other algorithms. You Only Look Once, an object detection method, is very fast because a single neural network predicts bounded box and class probabilities directly from the whole image in an evaluation. In this study, the object under study is an object that is around the researcher (a random thing). System design using Unified Modeling Language (UML) diagrams, including use case diagrams, activity diagrams, and class diagrams. This system will be built using the python language. Python is a high-level programming language that can execute some multi-use instructions directly (interpretively) with the Object Oriented Programming method and also uses dynamic semantics to provide a level of syntax readability. As a high-level programming language, python can be learned easily because it has been equipped with automatic memory management, where the user must run through the Anaconda prompt and then continue using Jupyter Notebook. The purpose of this study was to determine the accuracy and performance of detecting random objects on YOLOv3. The result of object detection will display the name and bounding box with the percentage of accuracy. In this study, the system is also able to recognize objects when they object is stationary or moving.

Acehnese Traditional Clothing Recognition Prototype System Design Based On Augmented Reality Chicha Rizka Gunawan; Nurdin Nurdin; Fajriana Fajriana
International Journal of Engineering, Science and Information Technology Vol 2, No 3 (2022)
Publisher : Master Program of Information Technology, Universitas Malikussaleh, Aceh Utara, Indonesia

Acehnese traditional clothing is one of the cultural heritages in Indonesia. In today's modern era, the problem faced is the lack of media to introduce cultural heritage in Aceh. Therefore, a media was formed that could introduce Aceh's traditional clothing, namely Southeast Aceh. The press utilizes Augmented Reality (AR) technology so that users can add virtual objects to the natural environment that are easy to use. In this study, a system design using Unified Modeling Language (UML) diagrams has been carried out, including use case diagrams, activity diagrams, and sequence diagrams. This system is built using the C++ language using the Unity application and the vuforiaSDK platform. Then the test results were obtained on the Southeast Aceh traditional clothing recognition application. Namely, the minimum distance that can display 3d objects is a distance of 5 cm, and the maximum distance that can be detected is 80 cm. Based on the test results in the distance test table, the best distance obtained, which results in the detection of markers that are still clear and bright, is at a distance between 5 cm to 70 cm. Meanwhile, at a distance of more than 80 cm, the marker cannot detect markers to display 3D objects because the distance between the camera and the marker is too far. Likewise, with the angular slope, the minimum angle of inclination detected is an angle of 0°, while the maximum angle of inclination detected is an angle of 75°. Based on the test results on the angle slope table, the best angle is obtained, which results in detecting markers that are still clear and bright at a distance between 0-60°. After that, testing is also carried out based on the lighting, where if the light is too bright or too dark, the camera cannot detect the marker.

Tokopedia and Shopee Marketplace Performance Analysis Using Metrix Google Light-house Suhaili Sahibul Muna; Nurdin Nurdin; Taufiq Taufiq
International Journal of Engineering, Science and Information Technology Vol 2, No 3 (2022)
Publisher : Master Program of Information Technology, Universitas Malikussaleh, Aceh Utara, Indonesia

The development of the marketplace is growing very rapidly and has become familiar in the lives of Indonesian people. The term marketplace has also been imprinted in the general public as a place for buying and selling online without having to meet physically. In practice, the marketplace has also provided a lot of convenience and comfort in shopping, starting from transaction security and selection of varied shopping items, also equipped with estimates in shipping. It doesn't stop there; the development of the marketplace has also penetrated almost all products, including services, food, music, books, household products, airline tickets, and even investments that can be made in the marketplace. Google Lighthouse is a complex metric where the assessment includes in terms of Performance, Accessibility, Best Practices, and SEO, which is presented with a score of 0 to 100 in other words, Google will assess a website with a predetermined metric and then audit it to improve accessibility and SEO. a website. The results of this study are expected to be able to present actual analytical information based on the matrix determined by Google Lighthouse for future improvements where the Tokopedia marketplace gets a performance value with a yellow score of 85, which can be optimized by minimizing the speed index 3.7s, time to interactive 5.9s and total blocking time is 390s to be more optimal in terms of performance and Shopee has decreased in performance with a value of 13 red on first contently paint 2.8s, speed index 16.8s, time to interactive 26.5s, largest contently paint 16.3s, cumulative layout shift 0.484 and total blocking time of 1,710ms to be further assessed for optimal results. Based on this test, it can be concluded that Tokopedia is superior to Shopee from various aspects of the matrix tested.

Information and Communication Technology Competencies Clustering For Students For Vocational High School Students Using K-Means Clustering Algorithm Muhammad Faisal; Nurdin Nurdin; Fajriana Fajriana; Zahratul Fitri
International Journal of Engineering, Science and Information Technology Vol 2, No 3 (2022)
Publisher : Master Program of Information Technology, Universitas Malikussaleh, Aceh Utara, Indonesia

The k-Means Clustering algorithm is intended to partition data into one or more groups, where data that has similarities in one group and data has differences in another. Information and Communication Technology (ICT) Competency data clustering in educational units is considered necessary to facilitate educational facilitation based on the differences in student abilities, determine advanced ICT guidance groups and become a reference in determining the place of Industrial Work Practices (Prakerin). This study aims to find out how the K-Means Clustering algorithm can be applied in clustering the ICT competencies of students at the State Vocational High School (SMK) 3 Lhokseumawe. The benefits generated in this study are in the form of visualization of data clustering that can help teachers and school management in formulating ICT policies at SMKN 3 Lhokseumawe. The data used in this study is the Information and Communication Technology (ICT) competency test score data for the 2021/2022 academic year. The data was obtained through a competency test process that refers to the Minister of Education and Culture Regulation Number 45 of 2015 concerning the Role of ICT/KKPI Teachers in the Implementation of the 2013 Curriculum where ICT competence includes the skills to search, store, process, present and disseminate data and information. Data processing in this study uses the K-means Clustering method and the RapidMiner application. Data processing using the RapidMiner application starts with data preparation, determining the number of clusters, and configuring the method. This study uses 3 (three) cluster configurations, namely the Very Competent, Competent, and Less Competent clusters. Testing data processing using the RapidMiner application resulted in 80 (eighty) students in cluster_0 with a Very Competent rating, 64 (sixty-four) students in cluster_1 with a Competent rating, and 10 (ten) students in cluster_2 with a Less Competent rating.

Pemantau pH Air Tambak Udang Vaname Berbasis Internet of Things dengan Antarmuka Bot Telegram Riza Mirza; Taufiq Taufiq; Nurdin Nurdin
Medika Teknika : Jurnal Teknik Elektromedik Indonesia Vol 4, No 1 (2022): October
Publisher : Universitas Muhammadiyah Yogyakarta, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/mt.v4i1.15720

Tambak udang vaname merupakan salah satu budidaya petambak di Aceh. Tambak udang vaname telah membantu ekonomi masyarakat dengan hasil yang melimpah. Namun hasil tersebut harus berkualitas agar tetap bernilai ekonomis. Salah satu penentu kualitas hasil tambak adalah air, yang dapat dinilai dengan pH air. Nilai pH air wajib dikontrol dan dicatat dengan mudah. Oleh karena itu, sebuah alat pemantau pH air berbasis internet of things dapat membantu petambak dalam memonitoring kualitas air secara real-time dan tercatat. Penelitian ini merancang dan membuat alat pemantau pH air dengan sensor pH-E4502C dihubungkan dengan Arduino Uno serta Raspberry Pi. Akses terhadap data sensor menggunakan antarmuka aplikasi pesan instan Telegram melalui chatbot. Hasil penelitian menunjukkan bahwa sensor E4502C, Arduino Uno, Raspberry Pi, dan Telegram dapat menjadi solusi aplikasi IoT bagi sektor pertambakan.

Comparison of Naive Bayes and Dempster Shafer Methods in Expert System for Early Diagnosis of COVID-19 Nurdin Nurdin; Erni Susanti; Hafizh Al-Kautsar Aidilof; Dadang Priyanto
MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer Vol 22 No 1 (2022)
Publisher : LPPM Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/matrik.v22i1.2280

COVID-19 is a respiratory infection disease caused by the corona virus. Transmission of this virus can spread very quickly so that the number of cases of the corona virus continues to grow and becomes an epidemic that spreads not only in Indonesia but also in other countries in the world. The purpose of this study is to build an expert system that is able to diagnose Covid-19 early by using a comparison of the Nave Bayes method and the Dempster Shafer method. The amount of data used in this study is 550 data, consisting of 500 training data and 50 testing data. While the variables used are symptoms related to COVID-19 as many as 17 symptoms consisting of G01, G02, G03, G04, G05, G06, G07, G08, G09, G10, G11, G12, G13, G14, G15, G16, G17. The diagnostic data consists of Suspected (PDP), Non-Suspected, and Close Contact (ODP). The results of the percentage test by comparing system diagnoses with expert diagnoses, for the nave Bayes method it has an accuracy of 96% with 48 diagnoses according to expert diagnoses from 50 tested data. Meanwhile, the Dempster Shafer method has an accuracy of 40% with 20 diagnoses according to expert diagnoses from 50 tested data. Based on the results of this study, the Naive Bayes and Dempster Shafer methods can be applied to an expert system for early diagnosis of COVID-19, from the results of the system testing the Naive Bayes method has better accuracy than the Dempster Shafer method.

Aplikasi IoT Pemantauan Detak Jantung Pasien Lansia Beresiko Tinggi di RSCM Cut Mutia Lhokseumawe Berbasis Mobile Ananda Faridhatul Ulva; Nurdin; Rizky Putra Fhonna; Desvina Yulisda; Muzakir Nur; Rizki Setiawan
G-Tech: Jurnal Teknologi Terapan Vol 7 No 1 (2023): G-Tech, Vol. 7 No. 1 Januari 2023
Publisher : Universitas Islam Raden Rahmat, Malang

Monitoring the health of the elderly is very necessary, this monitoring must be carried out periodically and in real time using a genetic algorithm, so as to increase the guarantee of the safety and welfare of the elderly population and can be a preventive action to anticipate things that you want to avoid. However, sometimes the distance between the patient and RSCM Cut Mutia Lhokseumawe is quite far, and handlers are not responsive enough to make it difficult for elderly families to receive early treatment. The method for creating an IoT application for monitoring elderly heart rate using the waterfall method, for a decision-making system for high-risk patient systems using a Genetic Algorithm. The expected result of this application is remote monitoring with rapid response in the form of an IoT Heartbeat tool that is used in the elderly, so that if elderly patients experience heart failure, the system will quickly respond to receive messages about what is felt by the elderly, through the IoT style used elderly and decision making system using a genetic algorithm

Co-Authors - Miranda ., Muthmainah Adi Prasetyo Afrilia, Yesy Aidilof, Hafizh Al Kautsar Al Khaidar Alaiya, Azna Alqhifari, Azka Ama Zanati Amalia, Nova Amin Munthoha Aminsyah, Ansharulhaq Ananda Faridhatul Ulva Andri Alfitra Anggara, Aji Arnawan Hasibuan Aynun, Aynun Aynun, Nur Azzanna, Maghriza bhakti wan khaledy Bustami Bustami Bustami Bustami Cesilia, Yolinda Chaeroen Niesa Chicha Rizka Gunawan Cut Agusniar Dadang Priyanto Dahlan Abdullah Darmansyah, Arif Desky, Muhammad Aulia Dewi Astika Erni Susanti Eva Darnila Fadlisyah Fadlisyah Fadlisyah Fahrozi, Fazar Fajriana Fajriana Fajriana, Fajriana Fasdarsyah Fasdarsyah fatimah Fatimah Fikhri, Aditya Aziz Fikran, Rifzan Fikri Fikri Fikry , Muhammad Gavinda, Virza Ginting, Andriyan gunawan, chicha rizka Gunawan, Chichi Rizka Hafizh Al Kautsar Aidilof Hafizh Al-Kautsar Aidilof Hamdhana, Defry Herman Fithra Hermansyah Hermansyah I Made Ari Nrartha Ilyana, Anis Imanda, Nanda Intan Nuriani Isa, Muzamir Ismun Naufal Jessika, Jessika Jikti Khairina Julia Ulfah Khaidar, Al Khairina, Jikti Khairul Khairul, Khairul Khairuni Khairuni Kurnia, Sri M Farhan Aulia Barus M Rizwan M Suhendri M. Ali, Rahmadi Marleni Marleni Maryana Maryana Maryana Maryana Maryana Maryana Maryana, Maryana Maulita, Maya Maya Juwita Dewi Maysura Meriatna Meriatna Muchlis Abdul Muthalib Muhammad Daud Muhammad Faisal Muhammad fauzan Muhammad Fikry Muhammad Furqan, Muhammad Muhammad Hutomi Muhammad Iqbal Muhammad Johan Setiawan Muhammad Nasir Muhammad Riansyah Muhammad Ridha Mukti Qamal Muliana, Syarifah Munirul Ula Mutammimul Ula Muzakir Nur Nadilla Baimal Puteri NELI SUSANTI, NELI Nunsina, Nunsina Nur, Muzakir Pradita, Cindy Cika Rahmad Rahmad Rahmad Rahmat Rahmat Raihan Putri Rasyada, Reza Dian Reza, Restu Rini Meiyanti Risawandi, Risawandi Riza Mirza Rizal S.Si., M.IT, Rizal Rizki Setiawan Rizki Suwanda Rizky Putra Fhonna Rizkya, Ghinni Robi Kurniawan Rusadi, Athirah salamah salamah Salimuddin, Salimuddin Salsabila, Thifal Samudera, Brucel Duta Sapitri, Anggri Sari, Cut Jora Sayuti, Muhammad Siagian, Tania Annisa Siregar, Widyana Verawaty Sri Kurnia Suci Fitriani, Suci Suhaili Sahibul Muna Sujacka Retno Sultan, Kana Suryana, Fitra Syandriani Harahap Taufik Taufik Taufiq Taufiq Taufiq Taufiq Taufiq Taufiq Taufiq Taufiq Uci Mutiara Putri Nasution Ulva Fitriani Wahdana, Aldi Wan, Syahputra Wawan Wawan Yani, Muhamamd Yeni Yeni Yesy Afrilia Yesy Afrillia Yulisda, Desvina Zahrah, Violita Aditya Zahratul Fitri Zahratul Fitri, Zahratul Zalfie Ardian Zara Yunizar Zuraida Zuraida

Title

Found 109 Documents
Search

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Title Search

Found 109 Documents Search

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Title

Found 109 Documents
Search