bluuebunny/crossref_metadata_2025 huggingface dataset:
A Survey on Multistage lung cancer Detection and Classification
Authors: Jawarkar Jay , Solanki Nishit , Vaishnav Meet , Vichare Harsh , Degadwala Sheshang
Published: November 2020

Earlier, Lung cancer is the primary cause of cancer deaths worldwide among both men and women, with more than 1 million deaths annually. Lung Cancer have been widest difficulty faced by humans over recent couple of decades. When a person has lung cancer, they have abnormal cells that cluster together to form a tumor. A cancerous tumor is a group of cancer cells that can grow into and destroy nearby tissue. It can also spread to other parts of the body. There are two main types of lung cancer:1. Non-small cell lung cancer, 2. Small cell lung cancer. Non- small cell lung cancer has four main stages. In this research we are classifying four stages of lung cancer. Lung cancer detection at early stage has become very important. Currently many techniques are used based on image processing and deep learning techniques for lung cancer classification. For that lung patient Computer Tomography (CT) scan images are used to detect and lung nodules and classify lung cancer stage of that nodules. In this re- search we compare different Machine learning (SVM, KNN, RF etc.) techniques with deep learning (CNN, CDNN) techniques using different parameters accuracy, precision and recall. In this Research paper we com- pare all existing approach and find our better result for future application.
ATM Shoulder-Surfing Resistant Pin Entry Using Based Pin and Base Text
Authors: Raja G. , Bavithra M.
Published: November 2020

The main aim of this system is to develop a secure ATM in future. In general, all the keypad based authentication system having several possibilities of password identification by means of shoulder movements. Shoulder-surfing is an attack on password authentication that has frequently been hard to defeat. This problem has come up with a new solution by following two types of proposal idea one is designing shuffled Automated Teller Machine keypad which displays the shuffled texts in the Display which confuses person who standing near you to guess the password. Another one is to develop the GSM application between the user and Automated Teller Machine counter for communicating a password via the wireless medium. If someone tries to input the old password got by shoulder surfing a message containing the location of ATM and the ATM shutter will be closed.
A Study Paper on Vision of IOT
Authors: Mohan Hima , Manikandan L. C.
Published: November 2020

The Internet of things (IoT) refers to a type of network to connect anything with the Internet based on stipulated protocols through information sensing equipment’s to conduct information exchange and communications in order to achieve smart recognitions, positioning, tracing, monitoring, and administration. In this paper we briefly discussed about what IOT is, how IOT enables different technologies, about its architecture, characteristics & applications. The purpose of this paper is to provide the basic information about IoT for young readers.
Twitter Sentiments Analysis Using Machine Learning
Authors: Singh Saurabh
Published: November 2020

Twitter sentiment analysis is the method of Natural Language Processing (NLP). In this project named Twitter sentiment Analysis we analyze the sentiments behind the twitter’s tweet. We have three type of sentiment: Positive, Neutral and Negative. Analyzing the sentiments behind every tweet is the biggest problem in the early days but now it can be solved with the help of Machine Learning. Twitter is an online micro-blogging and social-networking platform which allows users to write short status updates of maximum length 140 characters and through the Twitter Sentimental Analysis we can analysis the mood of the person who tweet which can helps in the industries to analyze the market and their product reviews or we can know the sentiments behind the opinion on any topic on which the group of people tweet and through this we can find the final result that the people point on view on the particular topic, product and any other tweets suggestions.
Diabetes Prediction Using Machine Learning
Authors: Rani KM Jyoti
Published: November 2020

Diabetes is a chronic disease with the potential to cause a worldwide health care crisis. According to International Diabetes Federation 382 million people are living with diabetes across the whole world. By 2035, this will be doubled as 592 million. Diabetes is a disease caused due to the increase level of blood glucose. This high blood glucose produces the symptoms of frequent urination, increased thirst, and increased hunger. Diabetes is a one of the leading cause of blindness, kidney failure, amputations, heart failure and stroke. When we eat, our body turns food into sugars, or glucose. At that point, our pancreas is supposed to release insulin. Insulin serves as a key to open our cells, to allow the glucose to enter and allow us to use the glucose for energy. But with diabetes, this system does not work. Type 1 and type 2 diabetes are the most common forms of the disease, but there are also other kinds, such as gestational diabetes, which occurs during pregnancy, as well as other forms. Machine learning is an emerging scientific field in data science dealing with the ways in which machines learn from experience. The aim of this project is to develop a system which can perform early prediction of diabetes for a patient with a higher accuracy by combining the results of different machine learning techniques. The algorithms like K nearest neighbour, Logistic Regression, Random forest, Support vector machine and Decision tree are used. The accuracy of the model using each of the algorithms is calculated. Then the one with a good accuracy is taken as the model for predicting the diabetes.
Deep Learning for Human Action Recognition with Convolution Neural Network
Authors: Karthickkumar S. , Kumar K.
Published: November 2020

In recent years, deep learning for human action recognition is one of the most popular researches. It has a variety of applications such as surveillance, health care, and consumer behavior analysis, robotics. In this paper to propose a Two-Dimensional (2D) Convolutional Neural Network for recognizing Human Activities. Here the WISDM dataset is used to tarin and test the data. It can have the Activities like sitting, standing and downstairs, upstairs, running. The human activity recognition performance of our 2D-CNN based method which shows 93.17% accuracy.
Evaluation Method of Mobile Health Apps for the Elderly
Authors: Ani Nur
Published: November 2020

Mobile health apps usually have a user interface that is difficult for elderly users to understand. With the increase in the number of elder users using applications on mobile phone, research on this area is important to do. This research aim is to present comprehensive review of mobile application evaluation for the elderly. The research methodology adapted PRISMA method to find and review relevance research articles in order to reach research goal. Based on literature study, we found three methods or models that have been applied for elderly user usability evaluation, including usability heuristics, system usability scale and technology acceptance model.
The Use of E-Payment During COVID-19 Outbreak
Authors: Ani Nur
Published: November 2020

E-payment is an online technology option for people in the physical distancing period due to Coronavirus outbreak. This study aim is to examine social impact and role of e-payment provider and government related to the use of e-payment transaction as long as period of COVID-19 outbreak. We used PRISMA approach to find related resource to answer research questions. As social impact, we found e-business actor should be shifting their business model to support e-payment and costumers should learn e-payment application to support their payment activity as long as period of physical distancing regulation. As role of e-payment provider, we recommend to conduct a cooperation with banks and payment service providers, providing information to the public about the ease of access in using e-payment and infrastructure that supports for the community to be able to transact with e-payment. As e-government support strategies, we suggest to increase consumer confidence in using e-payment, facilitate consumers to easily transition from manual payments to e-payments and create a social program to support e-payment customers.
Stock Price Trend Forecasting using Long Short Term Memory Recurrent Neural Networks
Authors: Ismael Omar Mahdi , Rahaman Mujeeb
Published: November 2020

The prediction of future stock price trend using current and historical stock market data is a research problem for traders and researchers. Recently deep learning methods shown promising performance to extract meaningful information from the given large data. In this paper, we proposed a system to predict the next trading session close price trend from historical stock trading data using long short term memory (LSTM) method. This is a classification problem next trading session close price trend can be uptrend, downtrend, or sideways trend. We built an automated trading system using the results of our classifier. We experimented with the proposed trading system on the American index stocks. Our experimental results show that the proposed method outperforms the buy-and-hold and decision tree-based method.
A Comprehensive Review on Cloud Computing and Cloud Security Issues
Authors: Walling Supongmen
Published: November 2020

Cloud computing is a type of computing where computing services such as applications, storage, infrastructure, processing power are hosted by some vendors (cloud vendors) over the Internet and delivered to users on on-demand basis. A company can benefit from cloud computing in the sense that they can rent access to anything from applications to storage to processing power rather than owning their own IT infrastructure. By using cloud-computing services, companies can avoid the various costs and complexities associated with owning and maintaining their own IT infrastructure as everything is taken care of by the service providers. Cloud computing is a paradigm in which both the users and the service providers are benefited. Service providers are greatly benefited from cloud computing by providing cloud services to a wide range of customers. The primary objective of this paper is to give an overview on cloud computing encompassing its features, the pros and cons of cloud computing and the challenges that comes with it. Furthermore, this paper also presents a list of security concerns in cloud computing which stands in the way of wide spread adoption of cloud computing thereby motivating researchers to devise competent solutions to tackle these ongoing security issues.
Software Defined Embedded Systems to Control Electronics Without Using Internet
Authors: R Arunapriya
Published: November 2020

Thecontrol system is designed to assist and provide support in order to fulfill the needs of elderly and disabled in home. Automation of the surrounding environment of a modern human being allows increasing his work efficiency and comfort. There has been a significant development in the area of an individual's routine tasks and those can be automated. In the present times, we can find most of the people clinging to their mobile phones and smart devices throughout the day. Hence with the help of his companion-a mobile phone, some daily household tasks can be accomplished by personifying the use of the mobile phone. Analyzing the current smart phone market, most users are opting for Android based phones. It has become a second name for a mobile phone in layman terms. Home Automation System has been designed for mobile phones having Android platform to automate an WIFI interfaced Arduino which controls a number of home appliances like lights, fans, bulbs and many more using on/off relay. This paper presents the automated approach of controlling the devices in a household that could ease the tasks of using the traditional method of the switch. The most famous and efficient technology for short range wireless communication-WIFI is used here to automate the system. The HAS system for Android users is a step towards the ease of the tasks by controlling one to twenty-four different appliances in any home environment.
Monitoring Vehicle Communication and Road Condition in VANET
Authors: S Saravanakumar
Published: November 2020

The connected vehicular ad-hoc network (VANET) and cloud computing technology allows entities in VANET to enjoy the advantageous storage and computing services offered by some cloud service provider. However, the advantages do not come free since their combination brings many new security and privacy requirements for VANET applications. In this article, we investigate the cloud-based road condition monitoring (RCoM) scenario, where the authority needs to monitor real-time road conditions with the help of a cloud server so that it could make sound responses to emergency cases timely. When some bad road condition is detected, e.g., some geologic hazard or accident happens, vehicles on site are able to report such information to a cloud server engaged by the authority. We focus on addressing three key issues in RCoM. First, the vehicles have to be authorized by some roadside unit before generating a road condition report in the domain and uploading it to the cloud server. Second, to guarantee the privacy against the cloud server, the road condition information should be reported in ciphertext format, which requires that the cloud server should be able to distinguish the reported data from different vehicles in ciphertext format for the same place without compromising their confidentiality. Third, the cloud server and authority should be able to validate the report source, i.e., to check whether the road conditions are reported by legitimate vehicles. To address these issues, we present an efficient RCoM scheme, analyze its efficiency theoretically, and demonstrate the practicality through experiments
Opinion Mining Analysis of Twitter Users of Particular Topic
Authors: Naik Sneha , Mulchandani Mona
Published: November 2020

Opinion mining consists of many different fields like natural language processing, text mining, decision making and linguistics. Opinion mining is a type of natural language processing for tracking the mood of the public about a particular product. Opinion mining, which is also called sentiment analysis, involves building a system to collect and categorize opinions about a product. Automated opinion mining often uses machine learning, a type of artificial intelligence (AI), to mine text for sentiment. This project addresses the problem of sentiment analysis in twitter; that is classifying tweets according to the sentiment expressed in them: positive, negative or neutral. Twitter is an online micro-blogging and social-networking platform which allows users to write short status updates of maximum length 140 characters. It is a rapidly expanding service with over 200 million registered users out of which 100 million are active users and half of them log on twitter on a daily basis - generating nearly 250 million tweets per day. Due to this large amount of usage we hope to achieve a reflection of public sentiment by analysing the sentiments expressed in the tweets. Analysing the public sentiment is important for many applications such as firms trying to find out the response of their products in the market, predicting political elections and predicting socioeconomic phenomena like stock exchange.
Prediction and Analysis of Student Performance in Secondary Education Based on Data Mining and Machine Learning Techniques
Authors: Joshi Meenal , Kumar Shiv
Published: November 2020

According to modern era education is the key to achieve success in the future; it develops a human personality, thoughts, and social skills. The purpose of this research work is to focus on educational data mining (EDM) through machine learning algorithms. EDM means to discover hidden knowledge and pattern about student's performance. Machine learning can be useful to predict the learning outcomes of students. From last few years, several tools have been used to judge the student's performance from different points of view like the student's level, objectives, techniques, algorithms, and different methods. In this paper, predicting and analyzing student performance in secondary school is conducted using data mining techniques and machine learning algorithms such as Naive Bayes, Decision Tree algorithm J48, and Logistic Regression. For this the collection of dataset from "Secondary School" and then filtration is applying on desired values using WEKA, tool.
Photo Based Location Information Services Using Encryption Free Framework with Duplicate Checking
Authors: Chandraleka M. , Anitha D.
Published: November 2020

In mobile, many applications provide services to the users based on the photos provided by the user.Certain applications, client users take a photo of a certain spot and send it to a server, the server identifies the spot with an image recognizer and returns its related information to the users.It can cause a privacy issue because image recognition results are sometimes privacy sensitive.To overcome the problems of existing approaches, proposed an Encryption-Free framework for Privacy preserving Image Recognition, called Enfpire.InEnfPire, the server cannot identify the client users current location, its candidates can only be presented. In proposed thefeature extraction with CNN algorithm help to collect the unique and accurate features from input image and also used Duplicate Detection process to detect images with same features present within same index.In proposed approach user transform the extracted image feature x into y on the user server and sends it to the public server.With the transformation , the effectiveness of the original feature x is degraded so that the public server cannot uniquely recognize the spot-ID of user from y.It only retrives the relevant spot ID’s.The unique spot ID will identify and information regarding the spot and relevant images will be given to the user.
A Comparative Review of Emerging Wireless Technology
Authors: Blaise Ohwo Onome , D. Olujimi Alao
Published: November 2020

Communication Systems can be Wired or Wireless and the medium used for communication can be Guided or Unguided. In wired technology, communication or transmission of information is done via a medium (also called guided medium) such as co-axial cables, twisted pair cables and optical fiber links; which guides the propagation from one point to another. In wireless technology, communication or transmission of information is done via free space (air) using electromagnetic waves such as radio frequencies, infrared, satellite, and so on, which guides the propagation from one point to another. Data transmission is an unavoidable part of every application or system. This is necessary for additional data processing and evaluation, and different wireless technologies fulfill this purpose. This paper is focused on elements of wireless technology, types, advantage and disadvantage, as well as literature review on various applications and improvements of wireless technology and systems. Additionally, a comparative analysis between the various types of wireless technology based on different aspects and their characteristics was discussed. This paper will serve as a benchmark in wireless technology and use of a particular wireless technology based on the requirement of the application.
Word Count: 189
Using Machine Learning Analytics to Detect Abnormalities and Electricity Theft
Authors: Saha Sowrav , Chakraborty Utsho , Biswas Haimanti , Galib Intekhab Rahman , Degadwala Sheshang
Published: November 2020

Abnormalities and Electricity Theft are a major concern for power and economic chaos of one's country. The reason here is, the fraudulent usage of electricity power by customers and broken electric meters or billing errors. Currently, electrical transmission and distribution losses remain a hurdle to the development and sustainability of the sector despite several techniques of energy conservation and electricity distribution analysis that have been employed. While technical failures are regular and predictable, non-technical losses, which are responsible for 80% energy losses, are random and hard to identify and evaluate. Hence it requires more advanced technology. For these reasons, the problem has attracted research interests in many fields, including artificial intelligence, including machine learning and expert knowledge approaches. Here, we have used a linear regression method for anomaly detection. The project therefore showed that the method has improved detection accuracy, sensitivity and reduced magnitude of data required.
Perlindungan Hukum Investor Bagi Pemegang Sukuk Ritel Terhadap Risiko Gagal Bayar
Authors: Mahfuzoh Amini , Khanifa Nurma Khusna
Published: November 2020

Salah satu risiko dalam perspektif syariah ialah mengisyaratkan bahwa tujuan dari suatu transaksi ekonomi yang normal adalah untuk menciptakan nilai tambah, bukan untuk menanggung risiko, sehingga risiko bukan merupakan suatu yang menjadi keinginan dari suatu transaksi keuangan dan investasi. Dibalik kelebihan Sukuk Ritel masih terdapat risiko yang perlu diperhatikan investor. Oleh karena ituperanan Undang-Undang sebagai landasan hukum dan regulasi tidak bisa ditawar tawar.Ekonomi syariah sebagai praktek yang hidup di tengah masyarakat harus dipayungi oleh hukum sebagai upaya menciptakan kepastian hukum untuk mewujudkan keadilan dan menciptakan stabilitas di tengah masyarakat. Tidak heran jika sukuk ritel juga memiliki risiko salah satunya gagal bayar. Walaupun hal itu nyaris tidak ada gagal bayar. Namun perlu ditingkatkan dalam pengaturan perlindungan hukum investor sebagai antisipasi keberlanjutan seri sukuk ritel.
Manajemen Pelayanan Perbankan Syari’ah
Authors: Purwanto Hery
Published: November 2020

Manajemen sebagai sebuah ilmu dan juga sebagai sebuah seni untuk menggerakkan orang lain dengan melakukan serangkaian proses perencanaan, pengorganisasian, pengarahan dan pengawasan secara sistematis dan terukur dari berbagai sumber daya yang dimilikinya untuk mencapai tujuan bersama yang telah ditentukan adalah satu hal yang juga harus diterapkan dalam pelayanan khususnya pelayanan perbankan syariah. Pelayanan perbankan syariah yang dimaksud adalah bagaimana setiap tingkatan manajemen baik Top Manajemen, Midle Manajemen maupun Low Manajemen mampu memahami kebutuhan semua pihak yang berkepentingan atas bidang usaha keuangannya tersebut khususnya kepada para nasabah dan calon nasabahnya sehingga kepuasan pelanggan (nasabah) dapat terjamin. Pelayanan prima atau service exelent perbankan syariah diberikan kepada para nasabah maupun calon nasabahnya oleh setiap karyawan khususnya karyawan yang langsung berhadapan dengan kebutuhan nasabah haruslah memahami berbagai halyang berhubungan dengan standard pelayanan (SP) maupun standar operasi prosedurnya (SOP), sehingga dapat meminimalisir kesalahan maupun kekecewaan para nasabah maupun calon nasabahnya terlebih dalam institusi perbankan yang berbasis syariah.
Patterns of Organ Involvement and Outcomes of SLE: A Real-Life Experience in Lupus Clinic
Authors: Rahman Md Mujibur , Md Moniruzzaman - , Sayeed SK Jakaria Been , Hassan Rashedul , Mallik Md Uzzwal , Barua Satyajit , Rahim Md Abdur , Azad Saima , Hasan Md Rockyb , Uddin Nazim , Hossain Arman , Mandal Bikash Chandra
Published: November 2020

SLE is one of the most common autoimmune disorders of women of childbearing age.It often manifests with various constitutional symptoms as well as combination of major organ involvement and outcome varies in different studies with current treatment. The present study is to see the patterns of organ involvement and outcomes at least after 6 months with standard treatment. This retrospective study was conducted in lupus clinic of two largest tertiary care hospitals in Dhaka city of Bangladesh over 2010 to 2019. It included 277 patients of SLE, diagnosed on the basis of ACR lupus diagnostic criteria and ACR lupus nephritis guideline and had received standard treatment. Outcomes were assessed by SLEDAI. The most common clinical manifestations were fever (71.8%), joint pain (71.4%), oral ulceration (54.8%), alopecia (36.4%), butterfly rash (28.5%), photosensitivity (32.1%) and Raynaud’s phenomenon (16.6%). Commonly involved major organ-systems were renal (41.5%), CNS (16.6%), pulmonary (7.2%), cardiac (3.2%) and hematological (12.2%). Renal biopsy was done in 91cases and the histology showed majority (37.3%) in class-IV. With standard treatment, a significant reduction of mean serum creatinine, proteinuria and SLEDAI was observed at least after 6 months. A total 35(12.63%) flares and 6 (2.17%) deaths occurred during the course of treatment. Renal and CNS are the most commonly involved major organ systems next to skin and joints. The overall outcome is favorable with standard treatment.

J MEDICINE JUL 2020; 21 (2) : 89-92
E-Prescribing: Benefit, Barrier, and Adopting Challenge in Electronic Prescribing
Authors: Oktarlina Rasmi Zakiah
Published: November 2020

E-Prescribing system provides prescribing drugs electronically that can be a stand-alone system or be integrated with Electronic Health Records (EHRs) system. When implementing an E-Prescribing system, we need to consider it’s benefits and barriers, also adopting factors that can affect the success of the implementation. The main advantage of using an E-Prescribing system is to increase patient safety, meanwhile, the biggest barriers and challenges are it’s cost-related and adaptation by health facilities and related health workers. This article review provides information about E-prescribing and it’s elements to help for a better understanding of the system and to give some insights before adopting the e-prescribing system.

J MEDICINE JUL 2020; 21 (2) : 98-101
Dysphagia Even for Barium Swallow, What’s Next?
Authors: Ishak Muhammad Nuaim , Mohamad Irfan , Hassan Nik Fariza Husna Nik
Published: November 2020

Abstract Not Available

J MEDICINE JUL 2020; 21 (2) : 127-128
Aplikasi Steganografi pada Media Citra Digital Menggunakan Metode Least Significant Bit (LSB)
Authors: Anshori Yusuf , Dodu A.Y. Erwin , Purwaningsih Megawati
Published: November 2020

Untuk dapat melakukan proses pengiriman pesan biasanya dibutuhkan suatu cara untuk menjaga keamanan pesan tersebut, agar pesan tidak mudah di ketahui oleh orang lain. Salah satu teknik untuk menyembunyikan pesan yaitu steganografi. Steganografi merupakan ilmu dan seni yang mempelajari teknik dan cara penyembunyian pesan rahasia kedalam suatu media sedemikian rupa sehingga pihak ketiga tidak dapat melihat dan menyadari keberadaan pesan rahasia tersebut. Pada penelitian ini membahas mengenai bagaimana metode least significant bit dapat digunakan untuk menyembunyikan pesan ke dalam file citra. Untuk jenis pesan yang dapat disembunyikan berupa pesan teks, pesan gambar dan pesan dokumen yang di ekstrak kedalam bentuk rar. Metode LSB mengganti bit-bit data RGB citra yang paling kanan dengan bit-bit data pesan rahasia. Metode penelitian yang digunakan adalah waterfall model. Berdasarkan pengujian yang dilakukan metode LSB dapat digunakan untuk menyembunyikan pesan tanpa membuat perubahan dari segi bentuk maupun ukuran pesan rahasia yang disembunyikan juga dapat diekstrak kembali tanpa mengalami kerusakan.
Optimalisasi visibilitas situs iLearning Journal Center (iJC) Pada Mesin Pencari Berbasis Search Engine Optimization (SEO) On Page
Authors: Handayani Indri , Febriyanto Erick , Shofwatullah Muhammad
Published: November 2020

Kemajuan teknologi yang semakin canggih membawa setiap aspeknya, khusus kemajuan teknologi di bidang Teknologi Informasi. iLearning Journal Center (iJC) merupakan situs web yang menyediakan wadah untuk mengelola jurnal. Sehingga diperlukan optimalisasi visibilitas situs web agar diketahui dan terlihat oleh penulis atau peneliti-peneliti di indonesia, dan setiap artikel-jurnal di iJC perlu terpublikasi dengan rating yang lebih luas agar dapat meningkatkan jumlah artikel yang masuk. Oleh karena itu, perlu diterapkan teknik SEO Pada Situs web iLearning Journal Center (iJC) untuk mengatasi masalah-masalah tersebut. Metode penelitian yang digunakan dalam penelitian ini yaitu Â Identifikasi masalah, Tinjauan literatur, Perancangan Teknik SEO On Page, Implementasi. Dengan Â penelitian ini adalah penerapan teknik SEO Pada Halaman dapat meningkatkan halaman hasil mesin pencari (SERP) situs web di mesin pencari, volume dan kualitas lalu lintas kunjungan dari mesin pencari google meningkat, dan situs web iLearning Journal Center (iJC) telah berhasil terindeks oleh google pergi di halaman pertama dalam pencarian google dengan waktu kurang dari 3 bulan.
Model Ruang Vektor dalam Pencarian Rumah Tarikan Bank BTN Pekanbaru dengan GIS Berbasis Android
Authors: Yuliansyah Bayu , Asnal Hadi
Published: November 2020

Bank Tabungan Negara atau yang lebih dikenal dengan BTN merupakan badan usaha milik negara indonesia yang berbentuk perseroan terbatas dan bergerak di bidang jasa keuangan dan perbankan.BTN ini memiliki layanan khusus bernama KPR (Kredit Pemilikan Rumah).Banyak nya kredit macet yang disebabkan oleh tidak mampunya debitur untuk membayar cicilan perbulan mengakibatkan banyak nya rumah yang disita dan dijual kembali oleh pihak BTN. Rumah yang disita dan dijual kembali oleh pihak BTN dengan harga yang murah memiliki peminat yang tidak sedikit,banyak masyarakat yang mengincar rumah dengan harga yang murah tersebut.Namun sayang nya hanya sedikit orang yang mengetahui informasi tentang penjualan rumah tersebut.Informasi penjualan rumah tersebut hanya diletakkan di mading pada bagian unit CCRU (Consumer Consultan Remedial Unit) di BTN pusat Pekanbaru. Karena informasi yang masih susah didapatkanÂ  dan harus ke BTN terlebih dahulu,untuk itulah dibangun sebuah Aplikasi Informasi Penjualan Rumah Tarikan BTN dengan Menggunakan GIS Berbasis Android agar masyarakat lebih mudah untuk mengetahui informasi tentang rumah tarikan beserta lokasi nya yang akan dijual oleh BTN.Pembuatan aplikasi ini akan menggunakan metode Ruang Vektor.
Sistem Pakar Diagnosa Penyakit Gigi dengan Metode Bayes
Authors: Hadi Febri , Diana Yusvi
Published: November 2020

Gigi merupakan salah satu organ terpenting sebagai alat pencernaan bagi tubuh manusia. Pada umumnya orang pernah mengalami sakit pada gigi tetapi banyak orang yang menyepelekan penyakit tersebut. Tujuan dari penelitian ini bertujuan memberikan pengetahuan tentang diagnosa penyakit gigi dengan menggunakan metode bayes. Dengan menggunakan metode Bayes dapat mendeteksi penyakit gigi yang diderita.
Penerapan Model Prototype pada Sistem Informasi Penerimaan Karyawan Lingkungan Hidup Berbasis Web
Authors: Maryanah Safitri  , Faridi  , Maulidia Kristina , Indriyani Lutfhi
Published: November 2020

Proses sistem penerimaan karyawan laboratorium pada PT. Kehatilab Indonesia masih menggunakan cara konvensioanl dimana pengiriman berkas lamaran dilakukan secara langsung, pengisian psikotes dan formulir isian interview dengan menggunakan alat tulis, selanjutnya menilai lalu memilih karyawan untuk melanjutkan interview. Hal tersebut dapat dinilai kurang efektif karena banyaknya lamaran pekerjaan yang masuk namun tidak sesuai dengan persyaratan yang ditentukan perusahaan, semakin banyaknya calon karyawan yang menyerahkan lamaran maka akan menimbulkan bertumpuknya berkas lamaran, dan membutuhkan waktu yang relatif lama untuk memilih berkas lamaran karyawan yang akan mengikuti seleksi. Selain itu, perusahaan sering kali mendapatkan karyawan yang tidak sesuai dengan kriteria yang dibutuhkan. Untuk itu diperlukan sebuah perancangan sistem informasi penerimaan karyawan berbasis web dengan model prototype dan teknik pengumpulan data dengan observasi, studi pustaka dan wawancara. Sehingga dengan adanya sistem berbasis web ini didapatkan hasil standar karyawan yang sesuai dengan kebutuhan perusahaan serta memantu bagian personalia dalam mendapatkan karyawan baru secara cepat
Pemilihan Jasa Pengiriman Barang Menggunakan Metode Simple Additive Weighting (SAW)
Authors: Wasiyanti Sri , Putri Anisah
Published: November 2020

Saat ini, masyarakat banyak yang melakukan kegiatan jual beli barang secara online melalui berbagai macam situs belanja online. Semakin bermunculannya situs jual beli barang secara online memicu banyaknya jasa ekspedisi guna mendukung kelancaran layanan jual beli tersebut. Perusahaan jasa layanan pengiriman barang seperti JNE, J&T Express, TIKI, Wahana, dan masih banyak lagi yang lainnya. Ada beberapa kendala selama proses pengiriman barang tersebut, diantaranya barang terlambat sampai ke penerima sesuai dengan estimasinya, barang hilang, barang rusak, bahkan barang dapat tertukar ke pelanggan. Penelitian sistem pendukung keputusan ini sebagai perbandingan dalam menentukan jasa pengiriman barang terbaik yang dapat digunakan sebagai referensi oleh masyarakat dalam memilih jasa layanan pengiriman barang sesuai dengan kriteria yang diinginkan. Penelitian sistem pendukung keputusan ini dilakukan dengan menggunakan metode  Simple Additive Weighting (SAW). Algoritma dalam Metode SAW juga dikenal dengan algoritma metode penjumlahan berbobot. Kriteria yang digunakan dalam penentuan jasa pengiriman barang ini meliputi area layanan, proses penanganan barang, ketepatan waktu pengiriman, harga dan fasilitas layanan pelanggan dan  ada empat alternatif yang ditawarkan kepada masyarakat yakni JNE, J&T Express, Tiki dan Wahana. Penelitian ini berguna bagi masyarakat khususnya yang biasa menggunakan jasa pengiriman barang baik sebagai penjual maupun pembeli. Manfaat dari penelitian ini adalah memberikan gambaran pemilihan jasa pengiriman barang yang akan dipilih sebagai alternatif dari proses transaksi penjualan dan pembelian barang sehingga diharapkan masyarakat dapat mempertimbangkan beberapa kriteria tersebut.
Perancangan Mobile Learning untuk Meningkatkan dan Menarik Minat Belajar Ilmu Nahwu Berbasis Android
Authors: Taufik Andi , Fattya Ariani
Published: November 2020

Saat ini masyakarat kurang antusias dalam membaca kitab-kitab agama karena ukuranya yang sangat tebal. Ilmu nahwu masih jarang dipelajari masyarakat umum karena biasanya dipelajari di pendidikan pesantren atau pendidikan madrasah. Dalam pembelajaran ilmu nahwu biasanya terbatas pada media cetak seperti buku atau kitab-kitab dan hanya di ruang kelas. Metode pembelajaran konvensional memiliki keterbatasan , yaitu kesulitan dalam menjelaskan hal-hal yang bersifat abstrak, interaktif dan lebih cenderung berpusat pada guru sehingga siswa menjadi pasif. Tujuan penelitian ini untuk meningkatkan pembelajaran dan menarik minat masayarakat dalam belajar ilmu nahwu, maka dibutuhkan suatu sistem pembelajaran baru yang bisa membuat masyarakat tertarik belajar. Karena melihat masyarakat sangat bergantung pada smartphone maka peneliti merancang mobile learning ilmu nahwu berbasis android dengan menggunakan metode pengembangan sistem waterfall. Dengan adanya aplikasi ini pembelajaran ilmu nahwu jadi menarik dan mudah dipelajari. Aplikasi pembelajaran ini dapat menjadi sarana dan altrrnatif untuk mempermudah belajar menghafal ilmu nahwu
Based Tracking Sebagai Media Pembelajaran Ilmu Tajwid Pada Platform Android
Authors: Eiva Syarifah , Rezky Putra R Duta
Published: November 2020

Mengajar Al-Qur’an Hadits tentu tidak terlepas dari mengajarkan Ilmu Tajwid. Dengan mengajarkan Ilmu Tajwid siswa diharapkan bisa memahami dan mengaplikasikan Ilmu Tajwid tersebut dalam membaca Al- Qur’an sehari-hari yang selama ini harus mendatangkan guru khusus dan belajar secara manual. Aplikasi pembelajaran yang memanfaatkan teknologi Augmented Reality sebagai media alternatif dalam mempelajari Ilmu Tajwid. Augmented Reality merupakan teknologi yang menggabungkan benda 2D dan 3D kedalam lingkungan dunia nyata dan memproyeksikannya secara Real Time. Aplikasi dibuat sebagai media pembelajaran Ilmu Tajwid untuk siswa dengan merapkan teknologi Augmented Reality agar pembelajaran tampak nyata. Aplikasi menggunakan marker khusus agar aplikasi dapat berjalan. Pengujian terhadap Marker yang telah dilakukan dapat disimpulkan bahwa Marker yang berpola yang detail mudah untuk dideteksi oleh kamera perangkat android. Dengan demikian dapat disimpulkan bahwa aplikasi ini dapat menambah minat siswa pada khususnya dan masyarakat pada umumnya untuk mempelajari Ilmu Tajwid pada pelajaran Al-Qur’an Hadits.
Sistem Pendukung Keputusan Penerimaan Siswa Baru dengan Metode Simple Additive Weighting (SAW) pada SMP Islam Al-Azhar 6 Jakapermai Bekasi
Authors: Puput Giovani Angelina , Haryanti Tuti , Kurniawati Laela
Published: November 2020

Peningkatan jumlah siswa yang mendaftar disuatu sekolah membuat pihak sekolah perlu mengadakan penyeleksian siswa berdasarkan kriteria yang telah ditentukan sekolah. Sistem penerimaan siswa yang masih manual sering terjadi kesalahan baik dalam penginputan data maupun pembuatan keputusan menjadi permasalahan dalam penerimaan siswa. Dari permasalahan tersebut dibutuhkan sebuah metode yang dapat digunakan dalam proses perhitungan nilai kriteria kemudian diterapkan kedalam sistem pendukung keputusan untuk mempermudah dalam mengolah data. Tujuan penelitian ini untuk membantu proses penyeleksian siswa baru pada SMP Islam Al-Azhar 6 Jakapermai yang saat ini masih manual dengan menggunakan metode Simple Additive Weighting dengan kriteria dan  bobot kriteria yang telah ditetapkan kemudian diimplementasikan pada sistem menggunakan Visual Basic .Net dan SQL Server 2008. Kriteria dalam penerimaan siswa baru yaitu nilai bahasa indonesia, matematika, bahasa inggris dan ilmu pengetahuan alam. Metode SAW dimulai dengan pemberian nilai pada setiap kriteria, pembobotan, normalisasi dan perangkingan dari nilai tertinggi ke terendah. Dengan perangkingan tersebut dapat ditentukan siswa yang diterima dan tidak diterima. Penerapan sistem terkomputerisasi dapat mempermudah dalam penentuan penerimaan siswa baru sesuai kriteria, mengurangi human error dan keamanan data lebih terjamin karena disimpan dalam database.  Dimana sistem ini nantinya akan digunakan oleh staff tata usaha dalam pengolahan data dan penyajian laporan penerimaan siswa baru
Prototype Kacamata Pemandu bagi Tunanetra dengan Keterbatasan Penglihatan
Authors: Muzawi Rometdo , Imardi Syahrul , Efendi Yoyon
Published: November 2020

Mikrokontroller merupakan keluarga mikroprosessor dengan sebuah chip yang dapat melakukan pemrosesan data secara digital sesuai dengan perintah bahasa yang diberikan. Dengan memanfaatkan mikrokontroller diciptakan suatu alat pendeteksi benda bagi tunanetra. Peneliti ingin membuat inovasi terbaru salah satunya sistem pendeteksi  kacamata benda berbiaya rendah yang dapat digunakan untuk membantu penderita tunanetra. Dengan adanya sistem pendeteksi kacamata benda, penderita tidak lagi menggunakan tongkat sebagai penuntun. Proyek ini menggunakan beberapa sensor jarak ultrasonik, mini pro arduino, modul mp3 player, dan beberapa motor getaran. Papan sirkuit yang digunakan dalam proyek ini dirancang dalam bentuk prototype, yang dapat dikenakan bagi penderita tunanetra. Arduino yang dipasang akan mendeteksi penghalang dengan bantuan sensor dan memberi tahu pengguna melalui headphone dan motor getaran. Sensor bekerja mendeteksi benda dan lubang yang berada  didepan atau dibagian bawah, sehingga speaker memberikan peringatan kepada pengguna kacamata tersebut.
Organic management vs. conventional management influence the antimicrobial activity of essential oils of Origanum vulgare L
Authors: Pereira Maysa Mathias Alves , Morais Ludmila Caproni , Zeneratto Natália Jubram , Reis Willian de Souza Matias , Gómez Omar Cabezas , Luiz Jaine Honorata Hortolam , Moreira Dajara Moana Barbosa , Pasqual Moacir , Dória Joyce
Published: November 2020

The objective this stud was to evaluate the antimicrobial activity of essential oils (organic vs. conventional) of Origanum vulgare L. in the action against Candida albicans, Escherichia coli and Staphylococcus aureus. The inoculation of rhizobacteria (environmental (ME) and Bacillus subtilis) potentiated the antimicrobial action.  The essential oils of Traditional (organic) cultivation presented antibacterial action and antifungal, while the essential oil of conventional cultivation (NPK) showed no any antibacterial or antifungal activity. It was concluded that the formulation of vermicomposting and the use of rhizobacteria are potential technologies and tools for family farmers and traditional community in the cultivation of orégano.
Consumo alimentar e ansiedade da população adulta durante a pandemia do COVID-19 no Brasil
Authors: Maynard Dayanne da Costa , Anjos Heriberto Alves dos , Magalhães Ana Carolina das Virgens , Grimes Lorrana Nascimento , Costa Maycon George Oliveira , Santos Rosiene Batista
Published: November 2020

O estudo teve como objetivo analisar o padrão alimentar durante o período de distanciamento social bem como a ansiedade causada por esse novo cenário. Para a coleta de dados foi aplicado questionário com dados sociodemográficos; sintomas; histórico de contato com a COVID-19; modificações de hábitos alimentares e atividade física; consumo de alimentos; e sintomas de ansiedade. A amostra foi composta por 1000 questionários, a maioria (54,7%) encontra-se eutróficos e ansiosos (84%). Em relação aos hábitos alimentares, 79,1% afirmaram mudanças no consumo e preparo das refeições. O consumo alimentar diário de alimentos saudáveis foi maior para alimentos integrais, frutas e feijão. Além disso, houve diferença estatística na relação da ansiedade com consumo alimentar, sendo os ansiosos os que mais consumiram alimentos não saudáveis. Embora o nível de ansiedade da amostra mostrou-se preocupante, o isolamento possibilitou a preparação e realização das refeições em casa, aumentando o consumo de alimentos saudáveis.
Effects of inulin and canistel addition in the physical characteristics of fat-reduced processed cheese
Authors: Saraiva Bianka Rocha , Licci Nathália Martins , Anjo Fernando Antônio , Vital Ana Carolina Pelaes , Silva Jéssica Bassi da , Bruschi Marcos Luciano , Matumoto-Pintro Paula Toshimi
Published: November 2020

Processed cheese is characterized as a homogeneous mixture, formed mainly by protein and fat, which directly influence its texture. When using fat substitute ingredients, such as hydrocolloids, it is important to evaluate their effect on the physical properties of the final product. The inulin was used as a fat substitute, and canistel, an exotic fruit, as a natural dye and source of bioactive compounds, with the aim of developing processed cheese reduced in fat by 50% (R50) and 100% (R100) and evaluate the effect of this reduction on rheological and texture properties compared to a Standard (S) formulation. Carotenoid content, color, texture and dynamic rheological properties (frequency and temperature scanning) were evaluated. Fat-reduced processed cheeses showed a yellowish color, an increase of more than 10x in the carotenoid content and hardness value reduction in relation to the S. All formulations demonstrated the viscoelastic behavior and the elastic properties were predominant throughout the temperature sweep, mainly for the R50, showing greater stability. The use of inulin and canistel in a product with reduced fat has potential for the food industry, since the first maintains the physical characteristics of the product while the second, increases the content of bioactive compounds and gives natural coloring.
Qualidade de vida e a assistência de enfermagem à mulher no período climatérico: uma revisão da literatura
Authors: Sousa Jhonata Willian Amaral , Santos Nayara Lays França dos , Silva Milena Pereira da , Lima Isabella Francilayne de Jesus , Reis Bruna Hipólito Moreira , Oliveira Soraia Silva Odílio de , Oliveira Paula Nicoly Maria de , Silva Gabriela Virginia Sena , Oliveira Amanda Regina Barros de , Miguel Geisyrlânia Caroliny Sousa , Menezes Morgana Luzia da Silva , Alves Jéssica Vitória dos Santos , Lemos Maria Assunção da Silva , Oliveira Isabela Virgínia Idalino de , Santos Ezequiel Moura dos , Araújo Elisângela Lira de Lima
Published: November 2020

O climatério é um processo biológico vivenciado pela mulher que corresponde à transição do ciclo reprodutivo para o não reprodutivo, ocorrendo comumente entre 45 e 65 anos de idade, e tem como marco principal a menopausa, designada como o último ciclo menstrual. O presente estudo objetiva investigar as principais alterações do climatério na saúde das mulheres, suas implicações para a qualidade de vida das mulheres climatéricas e as principais condutas de enfermagem na assistência à saúde das mulheres no período climatérico. Estudo de revisão narrativa da literatura realizado por meio da busca de artigos na Biblioteca Virtual em Saúde, em março de 2020. A amostra do estudo foi composta por 6 estudos publicados nos últimos 5 anos. Os resultados revelaram que os sinais e sintomas vivenciados pelas mulheres no climatério são diversos, mas que os componentes psicológicos apresentam mais impacto na qualidade de vida do que os sintomas físicos. Ademais, a assistência de enfermagem à mulher climatérica é voltada para educação em saúde, embora haja lacunas e limitação dos profissionais da saúde quanto a abordagem desse tema, sendo necessária a educação continuada dos profissionais da saúde para uma assistência integral de qualidade.
DEVELOPMENT OF DISCOVERY LEARNING STUDENTS 'WORK SHEETS THROUGH THE RAINBOW UNIT CUBES MEDIA ASSISTED BY GAGEGO DOLLS VOLUME CUBES AND BLOCKS FOR 5TH GRADE ELEMENTARY SCHOOL STUDENTS
Authors: Sayekti Budi
Published: November 2020

This study aims to describe the need for student activity sheets based on Discovery Learning through the rainbow unit cube supported by the fifth grade gagego doll to improve student learning outcomes. This research is a development research that uses seven steps. The analysis of teaching material needs based on teacher and student perceptions was carried out on 50 students in grade V as the experimental class and 40 students in the control class. Data collection used a questionnaire for teaching material needs and student learning outcomes tests. The analysis of needs includes four aspects, namely (1) content, (2) language, (3) presentation, and (4) graphics. The gain test shows an increase in student learning outcomes by 0.50 with moderate criteria. The learning outcomes of the affective, cognitive and psychomotor aspects after using Discovery Learning-based LKPD showed an average percentage of 79.0%. From the results of these studies it can be concluded that based on the analysis of the needs of the Discovery Learning-based LKPD can improve student learning outcomes.
YENİDOĞANLARDA İLAÇ UYGULAMA HATALARINDA HEMŞİRENİN SORUMLULUĞU
Authors: TAŞ ARSLAN Fatma , AKKOYUN Sevinç
Published: November 2020

Yenidoğan Yoğun Bakım Üniteleri oldukça karmaşık ve yoğun birimlerdir. Çoğunlukla bu ünitelerde prematüre bebekler gibi yüksek riskli bebekler yatmakta olup, yatış süreleri de oldukça uzundur. Yatış süresi içinde birçok tıbbi tedaviye maruz kalmaktadırlar. Yenidoğanlarda çeşitli ilaçların kullanılması, ilaç hazırlama ve uygulama şekillerinin farklı olması, yenidoğan ünitelerinin oldukça yoğun olması gibi sebepler yenidoğan hemşirelerinin ilaç uygulama hatası yapmasına sebep olmaktadır. İlaç uygulama hatası, sağlık profesyoneli veya hastanın uygunsuz ilaç kullanımına veya hastanın zarar görmesine neden olabilecek herhangi bir önlenebilir olaydır. Yenidoğan hastalarda en fazla bildirilen ilaç uygulama hatası tipi yanlış doz uygulanmasıdır. Profesyonel hemşirelik rolleri doğrultusunda hekim tarafından istem edilen ilaç sorgulanmalı ve gerekli ise tekrar teyit edilmelidir. Hemşirelerin ilaç uygulama hatası ile ilgili yasa, yönetmelik ve sorumluluklarını bilmeleri gereklidir.