bluuebunny/crossref_metadata_2025 huggingface dataset:
The Analyst Model Performance Multi-tier for Increase of Efficiency Virtual Machine In Moodle Application
Authors: Yusuf Raka , Kusniyati Harni
Published: November 2020

The use of multi-tier schema has become general phenomena in moodle application on web base in nowadays. Usually is layer presentation on the first tier. On the second tier of the application layer and layer data on the third tier. This is modelling on this paper to looking application performance on web base who is using three-tier model and the impact of value amount in the server who is controlling of each on the tier for the performance. The example in the case who is used for this modelling is the application of Moodle for the college courses in XYZ University. The framework of modelling who is used is Simply which is the simulation framework activity base on the district is using phyton language programming. The simulation on simply can using to a certain interval timer or unlimited (the ideal until for the work all is serviced). The results of the simulation are showing the best obtained by using a single server on each of layer by optimizing the speed of process on the server.
Predicting the IMDB rating by using EDA and machine learning Algorithms
Authors: Dixit Prayas , Hussain Shahzeb , Singh Gaurav
Published: November 2020

The film industry is not only the center of Entertainment but also a huge source of employment and business. Well, famous actors and directors can ensure the publicity of a movie but can’t promise a good IMDB score. We have collected the data available online about these Hollywood movies and their IMDB ratings to create our dataset. After getting the dataset we have incorporated various exploratory analysis techniques and then applied various machine learning algorithms to predict the IMDB rating. Finally, identified the best-fit algorithm which gives the most accurate prediction.
Preventing the Video Leakages from The Traffic Streaming
Authors: R Arunapriya
Published: November 2020

Video streaming takes up an increasing proportion of network traffic nowadays. Dynamic Adaptive Streaming over HTTP (DASH) becomes the defacto standard of video streaming and it is adopted by YouTube, Netflix, etc.Despite of the popularity, network traffic during video streaming shows identifiable pattern which brings threat to user privacy.In this paper, to proposea video identification method using network traffic while streaming. Though there is bitrate adaptation in DASH streaming, we observe that the video bit rate trend remains relatively stable because of the widely used Variable Bit-Rate(VBR) encoding. Accordingly, we design a robust video feature extraction method for eavesdropped video streaming traffic. Meanwhile, we design a VBR based video fingerprinting method for candidate video set which can be built using downloaded video files. Finally, to propose an efficient partial matching method for computing similarities between video fingerprints and streaming traces to derive video identities. To evaluate our attack method in different scenarios for various video content, segment lengths and quality levels. The experimental results show that the identification accuracy can reach up to 90%using only three minute continuous network traffic eavesdropping.
Stock Prediction using Neural Networks and Time Series Analysis Methods
Authors: Pardaz Banu Mohammad
Published: November 2020

The stock market is considered to be one of the most highly complex financial systems which consist of various components or stocks, the price of which fluctuates greatly with respect to time. Stock market forecasting involves uncovering the market trends with respect to time. All the stock market investors aim to maximize the returns over their investments and minimize the risks associated. There are time series methods such as AR, MA, SARIMAX developed to predict the stock price but neural network methods such as CNN, LSTM also used to predict the stock price. This research paper describes the prediction of stock market using neural network alogorithms and also few time series methods.
VM Consolidation and Migration for IAAS In Cloud Storage
Authors: S Saravanan
Published: November 2020

Cloud computing is capable of handling a huge amount of growing work in a predestined manner for the usage of the business customers. The main enabling technology for cloud computing is virtualization which generalize the physical infrastructure and makes it easy to use and manage. In this project virtualization is used to allocate resources based on their needs and also supports green computing concept. “Skewness” concept is introduced here in which the same is minimized to combine various workloads to improve the utilization of the server. Managing the customer demand creates the challenges of on demand resource allocation. So can implement Virtual Machine (VM) technology has been employed for resource provisioning. It is expected that using virtualized environment will reduce the average job response time as well as executes the task according to the availability of resources. Hence VMs are allocated to the user based on characteristics of the job. The VM live migration technology makes the VM and PM (Physical machine) mapping possible when the execution is running.
Identification and Recognition of facial images
Authors: Kohli Mallika , Wazir Vasundra , Sharma Parul , Abrol Pawanesh
Published: November 2020

Face detection is the power to identify a face and recognition is the ability to recognize whose face it is by means of facial characteristics. Face is multivariate and requires a lot of mathematical summation. Almost all imperative applications use a face recognition system. There are many methods that have been already proposed which provides low recognition rate. Hence, the main task of research is to develop a face recognition system with higher recognition capability and better accuracy. This paper proposes Face recognition system by combining two techniques Viola Jones and Principal Component Analysis. An approach of Eigen faces is employed in Principle Component Analysis(PCA). The face recognition system is implemented in MATLAB.
Student's Placement Prediction Using Support Vector Machine
Authors: Ingale Yashodeep , Bedse Tanuja , Khairnar Shivani , Ghute Dhyaneshawari
Published: November 2020

The ultimate goal of any educational institution is offering the best education experience and good placement opportunity to the students. Identifying the students who need extra support and taking the appropriate actions to enhance their performance plays an important role in achieving good placement. Student’s academic achievements and their placement in campus selection becomes as challenging issue in the educational system. Proposed student prediction system is most vital approach which may be used to differentiate the student data/information on the basis of the student performance. The proposed system will classify the student data with ease and will be helpful to many educational organizations. There are lots of machine learning algorithms and statistical base technique which may be taken as good assets for classify the student data set in the education field. In this paper, various machine learning algorithms like Naïve Baiyes, SVM, KNN, decision tree algorithm has been applied to predict student performance which will help to identify performance of the students and also provides an opportunity to improve to performance.
Municipal Waste Collection and Management in Smart Cities : A Survey
Authors: Kamakshi. K Vijaya Guru , C. N. T Shwetha. , G Swathi. , R Madhumathi.
Published: November 2020

In recent years, due to the increase in population, there are various challenges that are arising in this entire world. Waste management is one among those problems which has to be addressed immediately for a healthy and sustainable environment. It is not only an issue faced by the government but also by every individual since improper management of waste causes environmental pollution and health problems. It is necessary for the development of a smart and reliable solution to overcome this situation. The Internet of Things(IoT) along with Cloud computing could pave a way for developing a Smart Waste Management model. An analysis of existing waste management solutions is done in this paper. The aim of this paper is to discuss various factors involved in smart waste management and to describe an IoT based smart bin model along with route optimization . Finally, the advantages in implementing the proposed method and few ideas of how to improve the system in future is discussed.
Chronic Kidney Disease Prediction Using Different Algorithms
Authors: Vardhan Singh Harsh
Published: November 2020

Chronic Kidney Disease (CKD) is a disease which doesn't shows symptoms at all or in some cases it doesn't show any disease specific symptoms it is hard to predict, detect and prevent such a disease and this could be lead to permanently health damage, but machine learning can be hope in this problem it is best in prediction and analysis. The objective of paper is to build the model for predicting the Chronic Kidney Disease using various machine learning classification algorithm. Classification is a powerful machine learning technique that is commonly used for prediction. Some of the classification algorithm are Logistic Regression, Support Vector Machine, Naïve Bayes, Random Forest Classifier, KNN. This paper investigate which algorithm is used for the improving the accuracy in the prediction of Chronic Kidney Disease. And, a comparative analysis on the accuracy and mean squared error is to done for predicting the best model.
Literature Review of Using DWHBI Approaches to Predict and Reduce Customer Churn in Telecommunications Industry
Authors: Krishnan K. Prakash , Kombaiya A. Kumar
Published: November 2020

In recent days, telecom industry plays a vital role in our daily life. During corona period entire world depends on the telecom services domain. But telecome industry has been facing many surivival problems in the global market since last 10 years due to heavy competition between competitors. To stand in this field, service providers have to understand the complete customer requirements and provide the efficient services to stop the customer movement from one network to another network. Customer churn is one of the most critical problem faced by the telecom industry. In this industry, it is more expensive to bring the new customers as compared to retain the existing customers. The objective of customer churn prediction is to find the subscribers that are ready to move from the current service provider in advance. Churn prediction allows the service providers to offer new benefits and campaign offers to retain the existing customer in the same network. Technically this term would be call it as ‘Win back Situation’ in telecom industry. The high volume of data generated by telecom industry , with the help of data warehosuing and business intelligence implementation would become the main asset for predicting the customer churn. To prevent the churn many models and methods are used by researchers. In this paper, we reviewed different mining methods and the most popular algorithms which used in telecom industry. But this model is not only for telecom domain, it can be implement for other domains which has highly depends on customer interactions.
Multiobjective Interior Optimization Computational Methods for Electronics BCS Superconductivity
Authors: Casesnoves Francisco
Published: November 2020

Interior Optimization (IO) software and algorithms-programming were primarily presented in previous articles [3,4]. The mathematical framework of this new method, [Casesnoves, 2018-2020], was also proven [3,4]. The links among Interior Optimization, Graphical Optimization [Casesnoves, 2016-7], and classical methods in Nonlinear Equations Systems were developed. This paper is focused on software engineering with mathematical methods implementation in Multiobjective Interior Optimization programming as a primary subject. Second subject is Electronics applications of software in the field of BCS Superconductivity. These applications not only constitute a proof of the method, but also an useful BCS electronics numerical framework. They comprise a series of new BCS Equation optimization for multiple Type I superconductors, based on previous research for other different Type I ones previously published [3,4]. A Dual Optimization for two superconductors is also simulated. Several deductions/findings in computational technique for Multiobjective IO are guessed. Results are acceptable with low errors and 3D imaging demonstrations of the Interior Optimization utility.
Synthesis, Characterization and Biological Evaluation of Some Novel 1,3,4-Oxadiazole Derivatives as Potential Anticancer Agents
Authors: Yadav Akshay R. , Mohite Shrinivas K. , Magdum Chandrakant S.
Published: November 2020

A new Series of novel N-Substituted 1,3,4-Oxadiazole derivatives (3a-3f) were synthesized by the reacting 3,5-dinitrobenzoic acid and subsequent treatment with thiourea by microwave assisted synthesis as green chemistry. Confirmation of the chemical structure of the synthesized compounds was substantiated by TLC, IR, 1HNMR, and MS spectroscopy. Synthesized compounds were screened for anticancer activity on MCF7 cell line. All synthesized compounds exhibit significant biological activity and certainly hold a greater promise for discovering potent biologically active molecules. Further the compounds 3b, 3c and 3e has been moderate tested for its anticancer activity and out of these all, compound 3c showed most notable anticancer activity against breast cancer cell line. Molecules under study were analysed for ADME properties using SwissADME servers. ADME profiles were evaluated and most of the molecules were found to be suitable for further studies. In silico ADMET analysis is proved to be a good tool in drug discovery.
Implikasi Hermeneutika Al-Qur`an Fazlurrahman dan Hasan Hanafi Terhadap Penetapan Hukum Islam
Authors: Adawiyah Robiah
Published: November 2020

Artikel ini bertujuan untuk menjelaskan mengenai model pemahaman atau hermeneutika Al-Qur`an menurut Fazlurrahman dan Hasan Hanafi serta relevansinya dengan penetapan hukum Islam. Hermeneutika Al-Qur`an dalam penetapan hukum Islam mempunyai posisi yang penting, sebab menjadi dasar pijakan yang pertama dan utama, sehingga dalam menetapkan sebuah hukum Islam tidak secara sporadis. Hal itu, yang ingin ditampilkan dari sosok Fazlurrahman dan Hasan Hanafi. Fazlurrahman, adalah salah satu dari sekian pemikir muslim yang sadar akan keadaan tersebut. Dengan pendekatan hermeneutika kritis dan dialektis ia berusaha membangkitkan kembali kejayaan Islam yang pernah diraih. Dengan double movement sebagai metode penafsiran Al-Qur`an, serta berdampak pada eksistensi Hukum Islam, yakni terjadinya rasionalisasi Hukum Islam. Sedangkan Hasan Hanafi menyarankan agar menerapkan hermeneutika pembebasan terhadap Al-Qur`an. Wacana turâṡ watajdîd dijadikan sebagai dasar hermeneutika Al-Qur`an, sehingga berdampak pada penentuan formalisasi maqâṣid asy-syarî’ah yang sesuai dengan kondisi sosial, budaya dan realitas saat ini.
Analisis Yuridis Putusan Mk Nomor 22/PUU-XV/2017 dan Relevansinya Dengan Perlindungan Anak
Authors: Amania Nila
Published: November 2020

Perkawinan merupakan salah satu bentuk dari perbuatan hukum. Manusia sebagai subjek hukum untuk dapat dikatakan cakap hukum salah satu syaratnya adalah dewasa. Secara yuridis normatif menurut Putusan Nomor 22/PUU-XV/2017 tentang Minimal Usia Perkawinan Perempuan, menurut penilaian Mahkamah Konstitusi: Pertama, ketidaksetaraan antar warga negara terkait adanya penentuan batas usia perkawinan yang tidak sama antara laki-laki dan perempuan. Kedua, apabila terdapat produk-produk hukum yang mengandung perlakuan berbeda atas dasar ras, agama, suku, warna kulit, dan jenis kelamin, maka sudah seharusnya pula untuk disesuaikan dengan kehendak UUD 1945 anti diskriminasi. Relevansi Putusan MK tersebu pertama, perlindungan anak bersifat yuridis menyangkut semua aturan hukum yang berdampak langsung bagi kehidupan seorang anak. Kedua, batas usia minimal perkawinan bagi perempuan dalam UU No 1 Tahun1974 disebutkan 16 tahun sama halnya dengan melegalkan perkawinan anak telah melanggar beberapa hak anak, antara lain: Hak Bebas Dari Diskriminasi, Hak Kesehatan, Hak Pendidikan, Hak Untuk Dihindarkan Dari Eksploitasi Anak. Ketiga, Putusan MK mengabulkan perubahan batas usia perkawinan khususnya untuk perempuan sejalan dengan nilai, prinsip dan asas perlindungan anak.
Análise histológica dos ferrões de raias no Município de Soure/Ilha Do Marajó – Pará
Authors: Santos Adna Keila dos , Gemaque Rodrigo Sena , Biancalana Fernanda Simas Corrêa , Biancalana Adriano
Published: November 2020

As raias são animais de grande distribuição e quando pisoteadas ocasionam graves acidentes. Esses animais possuem importantes representantes como a família Dasyatidae e a Potamotrygonidae sendo essa última pertencente ao ambiente dulcícola. No município de Soure na ilha de Marajó todos os anos há registros dos acidentes com esses animais, desse modo se faz necessário analisar a morfologia dos ferrões das raias e comparar entre as espécies capturadas no município. Para isso os aguilhões foram removidos das espécies durante a pesca artesanal no município e fixados em formalina 10%. Posteriormente descalcificados em solução contendo EDTA 5% para realização dos procedimentos histológicos, que envolvem inclusão em parafina histológica, corte dos blocos e colorações especificas para serem analisados no microscópio de luz. Através das analises microscópicas as espécies Dasiatis guttata, Potamotrygon orbgnyi, Potamotrygon scobina e Plesiotrygon iwamae apresentaram ferrão com organização celular semelhante, no entanto as células secretoras de veneno estavam presentes em regiões diferentes do epitélio de espécies dulcícolas em relação a animais marinhos, além do mais, o tecido epitelial apresentou constituição frágil podendo maximizar a gravidade dos acidentes e ainda foi possível visualizar uma conexão entre a região óssea e o tecido conjuntivo sendo que na região óssea foi possível observar a presença de vasos. Dessa forma estudos de caracterização dos ferrões são importantes, pois auxiliam no entendimento a respeito dos mecanismos de defesa desses animais.
Senario Masalah Pelajar Universiti Utara Malaysia
Authors: AHMAD MARZUKI NAJIB , MUSTAFFA CHE SU , MAT SAAD ZARINA , ABDULLAH SUHANIM
Published: November 2020

Students of higher learning institutions inevitably face many problems during their studies. The problems faced are academic stress, time management, adjustment, teaching method, student-lecturer communication, learning environment and heavy workload. Students’ self-esteem and parenting styles also contributed towards such problems. The aims of this study were to identify the contributing factors based on several demographic components, to examine the relations among the factors and to propose some suggestions to help students deal with the problems. A cross-sectional survey was employed and data were collected using questionnaire. A total of 1923 respondents were chosen to participate in the study through stratified-random sampling. Results indicated that adjustment was the most dominant factor among male and female students. Among the most dominant factors based on ethnicity were adjustment, self-esteem, time management, student-lecturer communication and teaching method. There were relationships between academic stress and other factors such as time management, students’ workload, parenting styles, and self-esteem. In addition, adjustment was found to have relationships with time management, self-esteem, learning environment, parenting styles, teaching method, studentlecturer communication and workload. Results also showed female students having a higher level of academic stress compared to their male counterparts. Malay students also had a higher level of academic stress than other ethnic groups. In term of academic discipline, there were significant differences in four factors which were academic stress, workload, learning environment, and parenting styles.
Fenomena Ibu Tunggal dan Masa Depan Warga Tua Desa di Malaysia
Authors: WAN AHMAD WAN IBRAHIM
Published: November 2020

This article examines how changes in family institutions especially the increasing of single parents, affect the future of the elderly in society. To date single parents amongst the Malay society in Malaysia can be considered as a social phenomena, whereas at the same time, the magnitude and the proportion of the elderly are increasing. Based on 500 samples amongst single parents in Kelantan, Terengganu and Pahang, this article shows that these single parents, dispite their main task to take care of their elderly members, they themselves are full of daily problems. This situation can influence the future of the elderly in society. Thus, this article suggests strong support for the creation of caring society in Malaysia.
Institusi Perkhidmatan Kemanusiaan dan Pembangunan Keluarga di Unit Perunding dan Pembangunan Keluarga Jabatan Agama Islam Wilayah Persekutuan Kuala Lumpur
Authors: ISMAIL ZAINAB
Published: November 2020

The aim of this article is to describe the role of the Unit of Consultants and Family Development (UCFD) at Jabatan Agama Islam Wilayah Persekutuan (JAWI) in family development in Wilayah Persekutuan Kuala Lumpur. This article presents evidence that although this institution had established quite along time ago, marital conflicts and divorces in the state are still on the growing. Based on this evidence we can say that the program of family development conducted by UCFD, JAWI is not so sucsessful. However this article shows that the couples attending the counseling sessions at UCFD gained a lot of assistence from dakwah given by the counselors.
Faktor Internal Individu dan Delinkuensi: Kajian ke atas Remaja Perempuan di Asrama Akhlak Perempuan, Jitra
Authors: CHE MOHD NASIR NORRUZEYATI , MOHD ALI HANAFIAH NORZALINDA
Published: November 2020

Statistic reported that the involvement of female teenagers in delinquency behavior is increasing. According to the literature, one of the aspects that contribute to delinquency among female teenagers is individual internal factor. Thus, this study is aimed to analyze the internal aspects of female teenagers who are involved in delinquency behavior. The study applied qualitative approach. Respondents were selected by purposive sampling technique. Data was gathered through an in-depth interview with the respondents. Information from the interview was recorded to ensure that the information is completed. The data from the recorder was then transferred into a writing format manually. The data was analyzed to obtain the study themes. Results of the study showed that there are three internal aspects that influence the respondents to involve in delinquency such as perception towards their delinquency acts, life experiences and their reaction towards any particular situations.
Aplikasi Kaunseling Individu Terhadap Murid Orang Kurang Upaya (OKU) (Pendengaran dan Pertuturan)
Authors: SHAARI AZEMI , ISHAK NOOR AZNIZA , ROSE NURUL NAIMAH , ABDULLAH ASHLI
Published: November 2020

The objective of this study is to find out the disabilities students’ (deaf and dumb) understanding and acceptance towards counseling services. A case study qualitative approach was used using semi-structured interview. Studies carried out on eight deaf and dumb students at the special education school in the state of Kedah, Malaysia. The research sampels were given four counseling sessions by a registered trained counselor in using sign language during the counseling session. Video footage was used to analyse the process of counseling sessions and the semi-structured interviews. Results showed that the deaf and dumb student’s did not understand about counselling services when interviewed before the counseling was conducted. After going through four counseling sessions, all eight research sampels showed very positive acceptance towards the counseling services. Summary from the results shows that the deaf and dumb students positively accept counselling services when implemented using sign language.
IMPROVING ENGLISH VOCABULARY MASTERY THROUGH LEARNING CIRCUIT MODEL IN ELEMENTARY SCHOOL
Authors: Maulana Panji
Published: November 2020

This study aims to improve students' vocabulary mastery in English subject by using the Circuit Learning Model for fifth grade students of SDN Margalaksana IV . This type of research is Classroom Action Research (CAR) which lasts for two cycles. Each cycle consists of planning, implementing, observing and evaluating actions, then reflecting. The subjects in this study were students in class IV C with a total of 27 students. The data in this study were obtained by using data collection techniques of written tests, observations, and oral tests. Based on the result of the research conducted, it showed that the pre-cycle reached an average grade of 45.8 with percentage of classical completeness of 22.2%. In cycle I, the average grade was 66.8 with the percentage of classical completeness of 55.6%. Then in cycle II, the average grade increased up to 85.4 with percentage of classical completeness of 81.5%. The conclusion of this study is that the Circuit Learning Model can improve the mastery of English vocabulary in fifth grade students at SDN Margalaksana IV Cilawu Garut.
Delgado de Carvalho e o movimento de renovação da geografia escolar brasileira: alguns contrapontos
Authors: Mello Bruno Falararo de , Pereira Diego Carlos , Pezzato João Pedro
Published: November 2020

Trata-se, neste artigo, de sublinhar alguns contrapontos acerca do papel que o professor Carlos Miguel Delgado de Carvalho desempenhou no ensino de Geografia no Brasil nas primeiras décadas do século XX. Neste texto, partimos de análises realizadas no âmbito de duas pesquisas doutorais que perpassaram a temática e analisaram livros didáticos imbricados na história da Geografia escolar. Apesar de não ser geógrafo de formação, o professor Delgado de Carvalho foi catedrático no Colégio Pedro II e peça fundamental no movimento de renovação da Geografia escolar brasileira, trazendo para o debate algumas das ideias da Escola Nova e da Geografia científica europeia, além de enfatizar o papel de um ensino de Geografia que tivesse maior relevância do que o ensino praticado até então, baseado na estéril memorização de dados, datas e fatos histórico-geográficos. Evidenciam-se, também, elementos que permitem apontar alguns contrapontos quanto ao alcance das propostas de renovação do ensino de Geografia no Brasil atribuídas a Delgado de Carvalho, sendo este um processo imbricado nas descontinuidades curriculares. As pesquisas realizadas encaminham a reflexão do reconhecimento da importância e centralidade de atuação de Delgado de Carvalho na constituição da Geografia escolar. No entanto, o alcance de suas obras e suas renovações se mostra limitado pelos indícios contrapostos nas investigações mais recentes da área.
A geografia da Educação de Jovens e Adultos de nível fundamental na cidade do Rio de Janeiro
Authors: Rua Emilio Reguera , Serra Enio
Published: November 2020

O presente texto expõe algumas reflexões sobre a abordagem geográfica na análise de indicadores educacionais que giram em torno da escolarização de ensino fundamental de jovens e adultos trabalhadores na cidade do Rio de Janeiro. O principal objetivo do estudo é coletar informações referentes ao atendimento e à demanda por cursos de Educação de Jovens e Adultos (EJA) e analisar a maneira com que os dados se apresentam no espaço geográfico da cidade. Como procedimento metodológico, foram utilizados os dados da amostra do censo demográfico de 2010 relativos à instrução de pessoas com 15 anos ou mais e a partir deles criado o indicador Demanda Potencial para a Educação de Jovens e Adultos – Ensino Fundamental (DPEJAF). Tal indicador foi mapeado com base no recorte da população em três faixas etárias: 15 a 29 anos, 30 a 59 anos e acima de 60 anos. Nos mapas produzidos foram também localizadas as escolas municipais que oferecem a EJA, permitindo, assim, a comparação entre a necessidade de atendimento ao direito à educação e sua oferta por parte do poder público. Como principal resultado, constata-se que o número de escolas não atende à necessidade apontada para todas as faixas etárias levantadas. Junto a isso, evidenciou-se a importância de se aprofundar a análise geográfica não só na interpretação do indicador, mas principalmente na compreensão das características intraurbanas e sua relação com a implementação de políticas públicas relativas à EJA.
The Analysis of SWOT Management in Pra Pelatnas Training Center of Persatuan Atletik Seluruh Indonesia (PASI), East Java
Authors: Wulandari Selvy Cahya , Khamidi Amrozi , Siantoro Gigih
Published: November 2020

In the science of sports management, it is explained that the optimal performance of an athlete is inseparable from the application of management functions in the sports organization. The participates in. PASI Pengprov East Java as the organizer of the Pre Pelatnas Training Center should have good management so that all activities run smoothly and succeed in achieving their goals to identify the readiness level of each management function. Training Center Pra Pelatnas PASI East Java Pengprov in an effort to achieve its goals, it is necessary to do an analysis. A fairly good method for analyzing management functions is SWOT analysis.  This study is focused on analyzing and identifying the strengths, weaknesses, opportunities and threats in each management function, namely, Planning (organizing), implementation (actuating), evaluation (controlling). The implementation of Training Center Pra Pelatnas PASI East Java Pengprov. This type of research is a qualitative research with a descriptive method approach. Sources of research data come from observations, interviews with administrators, coaches and athletes and documents. The data obtained will be analyzed using triangulation techniques, namely data validation by checking the facts obtained from different data sources. The results of the SWOT analysis on management generally conclude that the management process Training Center It can be said that the Pre Pelatnas for the Indonesian Athletics Association (PASI) East Java Provincial Government has been carried out quite effectively in all management functions, namely Planning, Organizing, Actuating, and Controlling and has achieved good and appropriate results. However, improvements and proper strategies are still needed to minimize existing weaknesses and overcome threats.
Editorial
Authors: Ahmed Tahera
Published: November 2020

Announcement for the 20th Asian Bioethics Conference (ABC20) to be held on 22-25 Nov, 2019 at Dhaka, Bangladesh by Prof. Shamima Lasker, Secretary General, Bangladesh Bioethics Society .The conference will be organized by Bangladesh Bioethics Society (BBS)   in cooperation with DGHS, Ministry of Health and Family Welfare, People’s Republic of Bangladesh and in conjunction with ABA and Eubios Ethics Institute, Thailand, New Zeeland and Japan. It will provide opportunity for all scholars around the world to present their research work, maximize networking opportunities, and learn about the latest information and methodologies on bioethics.

Abstract Submission will be open from 1st March, 2019. Abstract Submission Deadline: August 15, 2019. Please send your abstract to Prof MA Shakoor at: shakoor.abc2019@gmail.com and rafe.dr@gmail.com and cc to splasker04@yahoo.com for your all communication.

Come and join us in Dhaka the old Moghul city!
COVID-19: Where we are in Bangladesh
Authors: Rahman Md Mujibur
Published: November 2020

Abstract Not Available

J MEDICINE JUL 2020; 21 (2) : 67-68
An Epidemiological Study of Laboratory Confirmed COVID-19 Cases Admitted in Dhaka Medical College Hospital
Authors: Hossain Mohammad Murad , Mark Sayeef Hossain Khan , Kabir AKM Humayon , Das Partha Pratim , Islam Md Khairul , Das Aparna
Published: November 2020

Background: The objective of the study was to report the epidemiological characteristics of symptomatic laboratory confirmed COVID-19 patients seeking care from Dhaka Medical College Hospital (DMCH).

Methods: This observational study was conducted in department of Medicine, DMCH for the period of 2 months following ethical approval. Total 100 RT-PCR confirmed COVID-19 patients were included and interviewed. Informed written consent was ensured before participation. Collected data were entered in a predesigned case record form and subsequently analyzed by SPSS-20.

Results: Average age of presentation was 37.20±10.02(SD) years with male predominance (77%). Urban presence was in 90%. Thirty-two percent of the patients had comorbidities, with diabetes (16%) and hypertension (19%) being the most frequently observed.The most commonly observed symptoms was fever (65%), followed by cough (58%), breathlessness (42%), Dysgeusia (40%) and fatigue (33%). Mean duration of illness was 8.74±4.8 (SD) days. Overall mortality was 9%. All patients were managed according to the national guidelines and only 7% required ICU support.

Conclusion: Patients were mostly middle-aged and male. Typical presentations were fever, cough, breathlessness and dysgeusia. Overall mortality was 9% among the admitted patients and requirement of ICU was 7%. Further study with large sample size is recommended to get a more precise picture.

J MEDICINE JUL 2020; 21 (2) : 69-75
Association of Cardiovascular Disease with Micro Albuminuria in Type 2 Diabetes Mellitus - Study in A Tertiary Care Hospital
Authors: Haque Md Jahirul , Islam Md Nazrul , Aziz Md Zakaria Al , Ashrafuzzaman Shah Mohammad , Banik Gobindo Chandra , Rahman AKM Sajedur , Biswas Sarmistha , Ahasan HAM Nazmul
Published: November 2020

Introduction: Microalbuminuria appears to be the earliest sign and predictor of the subsequent diabetic renal disease and is a marker of increased cardiovascular morbidity and mortality. It is also a predictor of morbidity and mortality in patients who do not have evidence of significant renal disease

Objective: To evaluate the association of microalbuminuria in type 2 DM with cardiovascular diseases and to correlate microalbuminuria with age of onset in type 2 diabetes mellitus.

Materials and Method: A hospital based observational study was carried out in the Department of Medicine, Dhaka Medical College & Hospital,Dhaka, from January 2014 to November 2014. A total of 100 patients diagnosed as type 2 diabetes mellitus according to American Diabetic Association guideline were included in this study. Association of microalbuminuria with cardiovascular diseases was determined by statistical analysis and regression analysis.

Results: The majority (40.0%) of patients were in 5th decade and the mean (±SD) age was 57.17±11.2 years. According to BMI it is observed that majority of patients were obese in both groups, where male 66.0% and female 75.5%.The occurrence of cardiovascular diseases in type 2 diabetes mellitus patients is increasing with duration of DM, where 61.9% found in newly diagnosed DM. It was observed that 38(38.0%) patients had normoalbuminuria (<30 mg/gm), their mean ACR was 17.6±8.1 mg/gm and 62(62.0%) patients had microalbuminuria (30-300 mg/gm), their mean ACR was 158.7±88.3 mg/gm. Microalbuminuria was found 53(67.1%) and 9(42.9%) patients with cardiovascular diseases and without cardiovascular diseases respectively. Occurrence of microalbuminuia was found significantly higher (p<0.05) in type 2 DM patients with cardiovascular diseases.

Conclusion:Microalbuminuria is found strongly associated with cardiovascular diseases in type 2 diabetes mellitus patients and there is 2.72 times more chance of developing cardiovascular diseases.

J MEDICINE JUL 2020; 21 (2) : 76-81
Antimicrobial Sensitivity Pattern of the Common Uropathogens among Patients Admitted in A Tertiary Care Hospital in Bangladesh
Authors: Kabir AKM Humayon , Sayeed SK Jakaria Been , Biswas Prodip Kumar , Hafiz SM , Mallik Md Uzzwal , Uddin Md Nazim
Published: November 2020

Urinary tract infection is one of the most common bacterial infections seen in clinical practice both in developed and developing countries. The causative agents of Urinary tract infection vary from place to place and they also vary in their susceptibility and resistance patterns. This descriptive study aimed to evaluate the antibiotic susceptibility patterns of pathogens isolated from routine laboratory specimens at Dhaka Medical College Hospital. A descriptive cross- sectional study was done from January 2018 to June 2018. A total of 100 mid-stream urine samples from the suspected UTI patients were tested microbiologically and antimicrobial susceptibility test were performed for the isolated pathogens using Kirby-Bauer disk diffusion method with positivity rate of UTI was 90% (90/100). Escherichia coli (39%) was the most UTI causing bacteria followed by Klebsiella 18(18%), Acinetobacter 12(12%), Staphylococci, 9 (9%), Pseudomonas 6 (6%), Enterococcus species 3 (3%) and Proteus 3 (3%). Female 83 (83%) were more affected in comparison with male. Adult female especially age range 18-30 years were found in high risk. Nitrofurantoin, Amikacin and Meropenem were recorded as most sensitive antibiogram for most of the bacteria’s whereas cephalosporin showed increased resistance. However, for uncomplicated community acquired UTI, Nitrofurantoin (oral) and Amikacin (Injectable) can be chosen as first line medication.

J MEDICINE JUL 2020; 21 (2) : 93-97
A Case Report of Vascular Ectasias of GI Tract Presenting as Occult Gastro-Intestinal Bleed Diagnosed on Capsule Endoscopy
Authors: Hajare Santosh , M Suhas
Published: November 2020

Abstract Not Available

J MEDICINE JUL 2020; 21 (2) : 117-118
Ukuran Akurasi Klasifikasi Penyakit Mesothelioma Menggunakan Algoritma K-Nearest Neighbor dan Backward Elimination
Authors: Ary Maxsi , Rismiati Dyah Ayu Feby
Published: November 2020

Tujuan dari penelitian ini adalah mengukur tingkat akurasi hasil klasifikasi objek menggunakan algoritma K-Nearest Neighbor dan Backward Elimination. Pengukuran tingkat akurasi diperlukan untuk menentukan tindakan selanjutnya, misalnya dalam menentukan deteksi awal suatu penyakit mesothelioma. Mesothelioma adalah kanker langka yang mempengaruhi dinding sel tipis dari organ dan struktur internal tubuh manusia yang dapat ditemukan di pleura, peritoneum, dan jantung. Pengklasifikasian suatu objek dapat digunakan dengan beberapa metode. Proses klasifikasi data dari suatu objek dapat mempermudah dalam menentukan tindakan selanjutnya. Nilai akurasi pengukuran algoritma K-Nearest Neighbor digunakan sebagai nilai awal penentuan tingkat akurasi setelah dilakukan seleksi fitur backward elimination. Algoritma K-Nearest Neighbor digunakan untuk klasifikasi pada objek. Backward Elimination digunakan untuk memilih atribut yang paling relevan pada proses klasifikasi. Proses seleksi fitur menggunakan Backward Elimination dilakukan bersamaan dengan proses pemodelan menggunakan K-Nearest Neighbor untuk menemukan subset fitur (set atribut) yang paling relevan. Objek penelitian diperoleh dari machine learning repository dengan nama dataset penyakit mesothelioma. Transformasi data dikelompokkan kedalam data training dan data testing. Hasil yang menarik pada penelitian adalah nilai tingkat akurasi lebih besar dari nilai awal dan set atribut terbaik setelah dilakukan seleksi fitur backward elimination.
Monitoring pada Server STMIK Amik Riau dengan Menggunakan Suricata Melalui Notifikasi Bot Telegram
Authors: - Herwin , Haryono Dwi
Published: November 2020

Tindakan kejahatan dunia maya (cybercrime)saat ini berkembang cepatsesuai dengan perkembangan teknologi informasi, beberapa model tindakan cybercrime didasari juga oleh perkembangan tersebut. Salah satu bentuk kejahatan cyber yang ditimbulkan seperti serangan pada sistem server pada instansi atau perusahaan yang dapat merusak kerahasiaan, keaslian dan ketersediaan informasi.Menjadi sebuah tuntutan bagi administrator jaringan untuk memantau kondisi jaringan yang dikelolanya secara realtime begitu juga pada STMIK Amik Riau, sebuah perguruan tinggi yang memiliki beberapa server yang dikelola untuk menunjang keperluan akademik.Oleh karena itu dibutuhkan sebuah metode keamanan jaringan yang dapat melakukan pendeteksian, monitoring, dan mengidentifikasi aktifitas pada suatu host atau network salah satunya menggunakan Suricata.Suricata adalah Intrusion Detection and Prevention System (IDPS) yang mampu mendeteksi suatu aktifitas jaringan dan mengidentifikasi ancaman berdasarkan rules yang ter-integrasi. Rules pada suricata berperan dalam mengidentifikasi seranganÂ  yang terjadi pada sebuah host. Agar alert serangan pada jaringan dapat di monitoring secara realtime. diperlukan sebuah penghubung antara notifikasi suricata ke administrator jaringan, salah satunya memanfaatkan bot Telegram yang berperan secara otomatis mengirimkan notifikasi ketika terjadi serangan pada server, dengan adanya botTelegram tersebut diharapkan akan memudahkan administrator jaringan dalam memantau aktifitas serangan dari mana saja tanpa harus membuka log suricata, sehingga administrator jaringan dapat megambil tindakan pencegahan lebih dini.
Sistem Pakar Malnutrisi Menggunakan Metoda Hybrid
Authors: Wiyandra Yogi , Yenila Firna
Published: November 2020

Penelitian ini bertujuan untuk memberikan informasi kepada masyarakat mengenai malnutrisi, gaya hidup atau lifestyle merupakan salah satu faktor yang ikut serta dalam mendeteksi malnutrisi. Tak jarang diantara orang tua mengabaikan hal tersebut karena dianggap biasa dan lumrah. Bahkan tak jarang juga diatara orang tua malas berkonsultasi dengan pakar perihal kondisi tersebut dikarekan berbagai macam alasan. Untuk itu diperlukan sebuah sistem yang mampu memberikan kemudahan kepada masyarakat seputar malnutrisi. Dalam penelitian ini malnutrisi lebih dikhususkan pada balita karena balita memiliki indikasi terbesar mendapatkan malnutrisi apabila asupakan makanan yang harusnya dikonsumsi oleh balita tersebut tidak tepat. Sistem pakar ini dibangun dengan menggunakan metoda hybrid yang menggabungkan antara forward chaining dengan certainty factor dalam mendapatkan kesimpulan atau konklusinya. Sistem ini dibuat dengan menyadurkan informasi langsung dari pakar.
Sistem Informasi Penilaian Kinerja Karyawan pada Yayasan Kasih Suwitno Berbasis Web
Authors: Rosadi Rosadi , Taufik Ghofar
Published: November 2020

Sistem penilaian kinerja karyawan merupakan hal penting dalam sebuah perusahaan, dalam mengetahui perkembnagan kinerja karyawan perusahaan. Penilaian kinerja yang dilakukan secara manual menjadi permasalahan tersendiri bagi sebuah perusahaan. Hal ini juga dialami Yayasan Kasih Suwitno, dimana penilaian kinerja karyawan masih menggunakan caraÂ  manual. Staf yang akan melakukan penilaian kepada rekan sejawat dan menyerahkan hasil penilaian ke supervisor yang kemudian dievaluasi dan dan ditambahkan penilaian oleh supervisor, masih menggunakan kertas. Hal ini menyebabkan pengiriman data dan penilaian menjadi lebih lama dan sering terjadi kesalahan dalam proses perhitungan nilai rata-rata hasil penilaian. Selain itu, hasil penilaian karyawan tidak dapat dilihat setiap periodenya. Dengan adanya sistem penilaian kinerja karyawan berbasis web, yang dikembangkan dengan model pengembangan sistem Waterfall dan bahasa pemerograman PHP (Hipertext Prepocessor), maka penilaian dan pengiriman data hasil penilaian akan lebih cepat dikirim ke supervisor maupun ke pihak pusat. Selain itu juga perkembangan kinerja karyawan dapat dilihat dalam tiap periode.
Penerapan Teknologi Augmented Reality Pada Matakuliah Pengantar Teknologi Informasi Di Universitas Pamulang Berbasis Android
Authors: - Munawaroh , Ratama Niki
Published: November 2020

Augmented Reality (AR) adalah sebuah teknologi dimana memasukkan dan memberikan input berupa objek virtual 3D kedalam lingkungan yang real-time. Penerapan augmented reality ini akan diimplemantasikan kedalam pembelajaran khususnya matakuliah PTI atau dikenal pengantar teknologi informasi, dimana matakuliah ini adalah matakuliah yang banyak menyinggung visual serta beberapa bentuk dari sebuah teknologi - teknologi yang berkembang sekarang ini, penyampaian gambar dan bentuk kondisi dari sebuah teknologi haruslah jelas dan tidak berupa hanya sekedar gambar, dimana hal tersebut dapat memberikan pemahaman bagi mahasiswa dalam memahami teknologi informasi sekarang ini. Dalam pembuatan rancang bangun dan penerapan teknologi augmented reality ini menggunakan model SDLC waterfall, dimana memiliki tahapan yang bertahap dan tahapannya mudah dipahami, dikarnakan memberikan modul bertahap dan dimulai dari analisa sampai dengan pengujian dan maintenance. Penerapan augmented reality ini diimplementasikan ke platform mobile android, dimana smartphone android ini adalah handphone yang menjadi kebutuhan masyarakat dalam mencari sebuah informasi terutama pada ruang lingkup pendidikan. Penelitian ini diharapkan dapat memberikan inovasi baru dan pengembangan khususnya pada matakuliah pembelajaran pengantar aplikasi komputer pada universitas pamulang. Dalam pengembangannya menggunakan metode rancang bangun menggunakan model SDLC waterfall, Pemahaman daya tarik matakuliah, dimana software nantinya akan memberikan sebuah inovasi baru dalam pembelajaran terutama pada matakuliah pengantar teknologi informasi, yang akan digunakan dan diuji langsung oleh mahasiswa universitas pamulang pada semester satu.Â Kata Kunci : Augmented Reality, SDLC, Rancang Bangun
Pengembangan Aplikasi E-Government Pelayanan Administrasi Terpadu Kecamatan (PATEN) Berbasis Android
Authors: Sugihartono Tri , Chrisna Putra Rendy Rian
Published: November 2020

Pelayanan Administrasi di pemerintahan, terutama di kecamatan merupakan suatu kepentingan yang harus di tingkatkan dalam hal pelayanan ke masyarakat, sehingga masyarakat dengan mudah dan cepat dalam mengajuakan pengurusan adminsistrasi kependudukan. Dalam penelitian ini, penulis membuat aplikasi mobile untuk pengajuan beberapa surat diantaranya surat perizinan dan non perizinan yang disediakan khusus kepada masyarakat untuk mengajukan (request) membuat surat di kantor kecamatan. Dengan adanya aplikasi ini dapat membantu proses membuat surat perizinan maupun non perizinan dengan mudah dan cepat. Serta mendukung pemerintah kota dalam mewujudkan smart city.
Quick Response Code untuk Monitoring Kehadiran Kuliah Dosen
Authors: Salamun  , Sukri  , Luluk Elvitaria  , Liza Trisnawati
Published: November 2020

Kelas Bersama dosen merupkan salah satu fasilitas yang ada di Universitas Abdurrab Pekanbaru, kelas ini digunakan oleh dosen-dosen yang mengajar mata kuliah teori. Dalam aktifitas yang sedang berjalan sebelum adanya system absensi ini para dosen masih menggunakan absensi tertulis yang mana aktifitas ini tidak efisiean dikarenakan terjadinya antrian jika dalam jam yang sama terdapat jumlah dosen yang mengajar sangat banyak. Oleh karena itu dibuatlah sebuah system absensi dengan Quick Response code atau yang lebih dikenal dengan QR code. System yang di buat akan di integrasikan melalui peraangkat android dosen sehingga dosen tidak perlu mencetak QR code lagi, mereka cukup login pada aplikasi yang sudah terpasang pada perangkat android masing-masing dan aktifitas absensi ini dilakukan pada sebuah ruangan yang dinamakan ruang transit dosen, ruangan ini berfungsi sebagai ruang tunggu dosen, sebelum dose memasuki ruang kelas kuliah. Pada ruang transit dosen disediakan perangkat komputer yang sudah memiliki kamera yang berfungsi untuk membaca QR code pada saat absensi. Pada penelitian ini metode yang digunakan adalah analisis situasi dan analisis kebtuhan yang mana sebelum membuat aplikasi ini dibutuhkan data berupa aktifitas mengajar dosen dan laporan kehadiran pada setiap perkuliahan.