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All Journal ComEngApp : Computer Engineering and Applications Journal Jurnal Manajemen Terapan dan Keuangan Statistika Media Kesehatan Masyarakat Indonesia Jurnal Ilmu Lingkungan Jurnal Pendidikan Jurnal Floratek Jurnal Online Mahasiswa (JOM) Bidang Teknik dan Sains Jurnal Online Mahasiswa (JOM) Bidang Ilmu Hukum Jurnal Online Mahasiswa (JOM) Bidang Keguruan dan Ilmu Pendidikan FIAT JUSTISIA: Jurnal Ilmu Hukum Hukum Islam ICON-CSE AJIE (Asian Journal of Innovation and Entrepreneurship) Jurnal Ilmiah Mahasiswa Pendidikan Jasmani, Kesehatan dan Rekreasi Jurnal Pendidikan Teknik Mesin Al-Kimia JUSIM (Jurnal Sistem Informasi Musirawas) Perada: Jurnal Studi Islam Kawasan Melayu Jurnal Teknik Mesin JURNAL PENELITIAN SEJARAH DAN BUDAYA

Firdaus Firdaus

Unknown Affiliation

Author-ID : 470485

Religion Arts Humanities Automotive Engineering Chemistry Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mathematics Mechanical Engineering Public Health Social Sciences Other

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PENGATURAN PENCEGAHAN UANG HASIL KEJAHATAN DALAM KEGIATAN INVESTASI USAHA Firdaus Firdaus; Erdianto Erdianto; Muhammad Fathra Fahasta
Hukum Islam Vol 17, No 2 (2017): Hukum Keluarga dan Ekonomi Syariah
Publisher : Fakultas Syariah dan hukum Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/hi.v17i2.4978

Evil is an act committed by a person or group of persons whose nature harms others. At this time the crimes are much developed either in the form of Corruption, Narcotics or other crimes. Along with the level of crime, the Government seeks to do the prevention and eradication with the rules of law to overcome it. Then from that writer do research about Stipulation of Money Result Of Crime In Business Investment Activity, this arise from writer observation either through mass media, development of crime rate of various forms lost the origin of crime in good way in the form of activity of Business Investment, join in Capital Market etc. Of these problems was born Law No. 15 of 2002, Law No. 25 of 2003, and Law No. 8 of 2010 on Prevention and Eradication of Money Laundering Crime.This type of research is in the form of normative juridical based on data secondary and supported by juridical historical and juridical approach of comparative. The regulation of prevention and eradication of crime of Crime in Business Investment activity has been changed will change the level of corruption, Narcotics and other crimes are still relatively high. So it can be said that prevention and eradication arrangements that are currently not effective in prevention and pemasannya, because the role of PPATK still waiting for reports from the relevant agencies.

A Deep Learning Approach to Integrate Medical Big Data for Improving Health Services in Indonesia Bambang Tutuko; Siti Nurmaini; Muhammad Naufal Rachmatullah; Annisa Darmawahyuni; Firdaus Firdaus
Computer Engineering and Applications Journal Vol 9 No 1 (2020)
Publisher : Universitas Sriwijaya

Medical Informatics to support health services in Indonesia is proposed in this paper. The focuses of paper to the analysis of Big Data for health care purposes with the aim of improving and developing clinical decision support systems (CDSS) or assessing medical data both for quality assurance and accessibility of health services. Electronic health records (EHR) are very rich in medical data sourced from patient. All the data can be aggregated to produce information, which includes medical history details such as, diagnostic tests, medicines and treatment plans, immunization records, allergies, radiological images, multivariate sensors device, laboratories, and test results. All the information will provide a valuable understanding of disease management system. In Indonesia country, with many rural areas with limited doctor it is an important case to investigate. Data mining about large-scale individuals and populations through EHRs can be combined with mobile networks and social media to inform about health and public policy. To support this research, many researchers have been applied the Deep Learning (DL) approach in data-mining problems related to health informatics. However, in practice, the use of DL is still questionable due to achieve optimal performance, relatively large data and resources are needed, given there are other learning algorithms that are relatively fast but produce close performance with fewer resources and parameterization, and have a better interpretability. In this paper, the advantage of Deep Learning to design medical informatics is described, due to such an approach is needed to make a good CDSS of health services.

Cloud-based ECG Interpretation of Atrial Fibrillation Condition with Deep Learning Technique Bambang Tutuko; Rossi Passarella; Firdaus Firdaus; Muhammad Naufal Rachmatullah; Annisa Darmawahyuni; Ade Iriani Sapitri; Siti Nurmaini
Computer Engineering and Applications Journal Vol 10 No 1 (2021)
Publisher : Universitas Sriwijaya

The prevalent type of arrhythmia associated with an increased risk of stroke and mortality is atrial fibrillation (AF). It is a known priority to identify AF before the first complication occurs. No previous studies have explored the feasibility of conducting AF screening using a deep learning (DL) algorithm (integrated cloud-computing) telehealth surveillance system. Hence, we address this problem. The goal of this research was to determine the feasibility of AF screening using an embedded cloud-computing algorithm in nonmetropolitan areas using a telehealth surveillance system. By using a single-lead electrocardiogram (ECG) recorder, we performed a prospective AF screening study. Both ECG measurements were evaluated and interpreted by the cloud-computing algorithm and a cardiologist on the telehealth monitoring system. The proposed cloud-computing based on Convolutional Neural Network (CNN) algorithm for AF detection had an accuracy of 99% sensitivity of 98%, and specificity of 99%. The overall satisfaction performance for the process of AF screening, and it is feasible to conduct AF screening by using a telehealth monitoring system containing an embedded cloud-computing algorithm.

Wireless Controlling for Garbage Robot (G-Bot) Nyayu Latifah Husni; Robi Robi; Ekawati Prihatini; Ade Silvia Handayani; Sabilal Rasyad; Firdaus Firdaus
Computer Engineering and Applications Journal Vol 10 No 2 (2021)
Publisher : Universitas Sriwijaya

This paper presents one of the solutions in overcoming the garbage problems. The people sometimes feel too lazy to throw the garbage into proper place due to their habit that has been grown since little kids. In this research, A G-Bot, a robot that has function as the garbage container is offered. By using an Internet of Things (IoT) application, the users can control the motion of the G-Bot wirelessly, so that it can move to the users’ desired location. In addition, the covers of the G-Bot can also be opened using smart phones that connected to the G-Bot. A Blynk that acts as the IoT Application is used in order to set up the G-Bot communication. From the experimental result, it can be concluded that the proposed research has been successful to be implemented. The users can move the G-Bot to the targeted location wirelessly, and they can also open and close the G-Bot’s lids wirelessly trough the mobile phones.

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

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.

PENGARUH PERSEPSI DAN KEPUASAN KONSUMEN TERHADAP MINAT PEMBELIAN ULANG PRODUK PRIVATE LABEL INDOMARET (STUDI PADA KONSUMEN INDOMARET DI KECAMATAN TELANAIPURA KOTA JAMBI) Firdaus Firdaus
Jurnal Manajemen Terapan dan Keuangan Vol. 9 No. 1 (2020): Jurnal Manajemen Terapan dan Keuangan
Publisher : Program Studi Manajemen Pemerintahan dan Keuangan Daerah Fakultas Ekonomi dan Bisnis Universitas Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22437/jmk.v9i1.9234

Tujuan penelitian ini adalah untuk menguji pengaruh persepsi konsumen dan kepuasan konsumen terhadap minat pembelian ulang produk private label indomaret. Sampel penelitian yang digunakan sebanyak 96 orang responden, dimana data dari sampel dikumpulkan menggunakan kuesioner untuk kemudian dianalisis dengan teknik analisis regresi berganda. Hasil analisis statistik membuktikan bahwa secara parsial dan secara simultan persepsi konsumen dan kepuasan konsumen berpengaruh signifikan terhadap minat pembelian ulang produk private label indomaret. Hasil penelitian ini berimplikasi terhadap upaya peritel indomaret dalam peningkatan nilai produk, melalui penyesuaian antara manfaat produk dengan harga yang harus dibayarkan oleh konsumen, dikarenakan persepsi nilai merupakan aspek persepsi memiliki kontribusi pengaruh terbesar bagi minat pembelian ulang. Di samping itu, juga diperlukan upaya menjaga konsistensi dalam menentukan kebijakan harga yang sesuai dengan kualitas produk yang diberikan.

PENGARUH PENGETAHUAN, PERSEPSI, PARTISIPASI MASYARAKAT DAN PERAN SERTA PEMERINTAH TERHADAP KONDISI LINGKUNGAN PERAIRAN SUNGAI SAIL KOTA PEKANBARU Abdul Kodir Jailani; Thamrin Thamrin; Firdaus Firdaus
Jurnal Ilmu Lingkungan Vol 8, No 1 (2014): Jurnal Ilmu Lingkungan
Publisher : Program Pascasarjana Universitas Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31258/jil.8.1.p.88-96

Research on the influence of knowledge, perception, participation society and role ofgovernment to environment condition of Sail River City of Pekanbaru has been held forthree months (January to March 2013) using survey methods to Sail river society withdirect interview use kuisioner to 100 responden which Linkert scale. Sampling locationdetermined by purposive in three location considering density and contiguity of Sailriver society. Research variable is knowledge, perception, participation society and roleof government to environment condition of Sail river with data analysis : descriptiveanalysis, rank Spearman'S correlation analysis, linear regresi analysis and hypothesisanalysis using F test. Research result of indicate the condition of Sail river haveminimal condition (score 1,98). There are influence which individually correlation withpositive direction of society participation variable (R 2 = 0,839) and government role(R 2 = 0,861) to condition of Sail river. While by simultan, variable knowledge (X 1 ),perception (X 2 ), participation (X 3 ) and role of government (X 4 ) influence the Conditionof Sail river (Y) equal to 78,2% (R 2 = 0,782) with F value > F table (89,967 > 2,47)meaning that knowledge, perception, participation society and governmental role havean effect on to condition of environment condition of Sail River.

PENGARUH MODEL PEMBELAJARAN COOPERATIVE INTEGRATED READING AND COMPOSITION TERHADAP KETERAMPILAN MEMBACA PEMAHAMAN SISWA SEKOLAH DASAR Anggi Fitri; Firdaus Firdaus; Juni Kardi; Yundri Akhyar; Zalisman Zalisman; Syahri Ramadhan
Jurnal Pendidikan Vol 12, No 1 (2021)
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat Universitas Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31258/jp.12.1.1-12

This study aims to determine the effect of the Cooperative Integrated Reading and Composition learning model on students' reading comprehension skills. This research uses a quantitative approach with the type of research Quasy Experiment Design. Experimental research is research that is intended to determine whether or not there is a result of "something" imposed on the subject under investigation. In other words, experimental research tries to examine whether there is a causal relationship. The trick is to compare one or more experimental groups that were treated with one or more control groups who did not receive treatment. The data collection instrument was in the form of test questions that were distributed to all research samples. While the research data analysis technique used descriptive analysis, the prerequisite test used the analysis of normality and homogeneity. Meanwhile, to answer the hypothesis results using the Two-Way ANOVA test. The results of the two-way ANOVA test analysis show that a significance value of 0.000 ˂ 0.05 is obtained, it can be concluded that learning using the Cooperative Integrated Reading and Composition model has a significant effect on students' reading comprehension skills.

Cost Estimation System for Construction Project (CES-CP) Upasana Narang; Firdaus Firdaus; Ahmad Rifai
ICON-CSE Vol 1, No 1 (2014)
Publisher : ICON-CSE

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

Bill of Quantity is a form used by the contractor to submit a price to the owner in order to obtain a construction contract.It takes the ability and experience to make bill of quantity, not everyone can do it. The development of “Cost Estimation System for Construction Project (CES-CP)” is aims to assist people to make Bill of Quantity. The development of this application use FAST (Framework for the Application of Systems Techniques) methodology. This application stored the knowledge that required to make Bill of Quantity. It can show which one of the Work Unit Price are recommended for use on Bill of Quantity and which ones are not. All Work Unit Data that used on Bill of Quantity of a project will be stored and can be displayed at any time as a reference. This application helps people to make Bill of Quantity and make the process of making Bill of Quantity becomes more efficient.

PENGENALAN SENI BELA DIRI PADAANAK-ANAK DANREMAJA DESA UNTUK MENAMBAH AKTIVITAS POSITIF PADA MASYARAKAT Firdaus Firdaus
Asian Journal of Innovation and Entrepreneurship Vol 2 No 02 (2013): May 2013
Publisher : UII

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

Cancer of the cervix or also called cervical cancer is a type of cancer that 99.7%are caused by human papilloma virus (HPV) oncogenic, which attacks the cervix. Riskgroup for the occurrence of cervical cancer arewomen over age 30 years who havemany children and to maintain reproductive health behavior is still lacking. Habitsmutually exchange sexual partners is one of the main factors of HPV virus that causescervical cancer is the case. In Indonesia only 5 percent who do cervical cancer screening,so that 76.6 percent of patients as detected has entered Stage Advanced (IIIB above),since cervical cancer usually without any symptoms in the initial stage. This fact isgenerally not known by the villagers. Therefore for prevention will be held related toreproductive health counseling and knowledge about menstruation on the PKK in thevillage of Wonogiri, Tawangsari, Kaligesing, Central Java.

Co-Authors , Dasrol Abd. Wahid Wahab Abdul Kodir Jailani Ade Iriani Sapitri Ade Silvia Handayani Ahmad Rifai Aldo Virgiansyah Alfian Rusdy Anggi Fitri Annisa Darmawahyuni Annisa Desria Utami Arbi Wahyu Ardiyansyah Ardiyansyah Ari Gustia Warman Ario Putra Arni Novi Sihombing Arrahman Arsista Audesti Nindya Azet Purnama Bambang Tutuko Bayu Wijaya Putra Bustamam Bustamam Citra Rahmawati Lubis Davit Rahmadan Dedek S Lumban Gaol Dessy Artina Dian Yayan Sukma, Dian Yayan Dini Azani Edy Ervianto Efri Diah Utami Ekawati Prihatini Ela Aprida Nafliana Emilda Firdaus Erdianto Erdianto Ewa Kukuh juwanda Fahrul Rhozi Fauzi Fauzi Feranita Feranita Fikri Al Mansur Gladysha Indahcantika Mazalio Haniva Rahmadani Hasianna Nopina Situmorang Hasnah Hasnah Hayatul Ismi Hendri Agustin Sibarani Hendri Marhadi Hergo Afrizon Husni Husni Husni, Nyayu Latifah Ifwandi Ifwandi Iga S. Syahri Ilham Rijab Irfan Hamdani Irvan Fahreza Ishak Erawadi Barutu Ivan Ryian Ewaldo Juni Kardi Katrin Roosita Khoerudin Khoerudin Ledy Diana Leo Valentino Lukman Hakim M Aldion Rinaldi M Putra Nurjanah M. Wahyu Nugraha Maming Maming Martadinata, A. Taqwa Maryati Bachtiar Mira Afrina Mohd Yogi Yusuf Muhamad Al Khausar Muhammad Fachrurrozi Muhammad Farqi Muhammad Fathra Fahasta Muhammad Ibrahim MUHAMMAD ILHAM Muhammad Naufal Rachmatullah Muhammad Sayuthi Muhammad Sholeh Nasriadi Dali Nazri Nazri Niky Sudarmantoro Nota Effiandi Noveri L M Novia Fatriyani Nur Rabiah Mardatila Nurhalim Nurhalim Prima Prima Pusaka, Semerdanta Rahmayani Indrasari Rakiman Rakiman Reski Hidayat Retnaningsih Retnaningsih Reza Al Mattin Reza Novia Restita Ridho Hanif Farza Riko Simalango Rimbawan , Riska Fitriani Rizky Johari Robby Dhavitra Robi Robi Rossi Passarella Sabilal Rasyad Sandi Firman Nanda Sarah Nanda Jelita Siti Hafsah Siti Nurmaini Sri Anna Marliyati Sri Fitri Sri Yani Yolanda Suci Dwi Lestari Sukim Sukim Sutri Lasdienti Syafiqa Tiara Ayunda Syahri Ramadhan Syahrilfuddin Syahrilfuddin Thamrin Thamrin TJUT CHAMZURNI Togi Sugiono Torang Harison Tumpak Dolok Stepan Simarmata Ulfia Hasanah Upasana Narang Wildaniati Wildaniati Winner Inra Jefferson Batubara Wita Ananda Chikita Yudhi Fasrah Ilahi Yuli Yetri Yundri Akhyar Yusuf Ridho Surya Dharma Nainggolan Zalisman Zalisman Zikri Afdal Zuyasna Zuyasna

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