bluuebunny/crossref_metadata_2025 huggingface dataset:
Library Management System Development Using Java Swing on Eclipse Platform
Authors: Venkata Ramana Pamarthy , Srinath D.V.P
Published: April 2019

Library is a fast growing sector. The existing system for maintaining library transactions is not very efficient. For quick retrieval and storage of data is required. An appropriately computerized library will help its users with quick and prompt services. Library automation refers to mechanization of library housekeeping operations largely by computerization. Library Management System (LMS) is an automated system that can be useful to Librarians and the users of a library in any functional organization. Library Management System gives the facility to define the tasks of the librarians and also allows its users to manage their activities to and from the library. A report generation facility is supported in LMS that allow its users to keep an account of their transactions in the library. This tool can help librarians to effectively save time and carry out other important works of the library rather than just looking out after the issuing and returning. This project aims at creation of a Library Log. This project will be accessible to all users of the library and its facility allows librarians to maintain a hassle free database while letting its users to themselves manage their own transactions individually thereby solving all major issues of having a huge database in the form of hard material.
Student Portal System Development Using an Android App
Authors: P Srinath D. V. , Venkata Ramana Pamarthy
Published: April 2019

A Students Information System Android Application (SIS) gives a straightforward interface to support of understudy data. It's intended to be utilized by instructive organizations or universities to keep up the records of students effectively. The day savvy, the board of precise and modern data in regard to a student's scholarly vocation is basically essential in the college just as schools. Students Information System framework manages all sort of student’s subtleties, scholastic related reports, school subtleties. It tracks every one of the details of a student from the very beginning as far as possible of the course which can be utilized for all detailing reason following of participation will be accessible through a safe, android interface inserted in the school's site. It will also have faculty details, students’ details in all aspects to the staff and students updated by the college administration since the technology is growing in a faster pace, this technology makes easy to evaluate student’s academic reports.
Engineering Authentication Process with Cloud Computing
Authors: Nivedhitha G. , Ilakkiya R.
Published: April 2019

Cloud computing is a way to increase the capacity or add capabilities dynamically without any upfront investments. Despite the growth achieved from the cloud computing, security is still questionable which impacts the cloud model adoption. Aside of having network and application securities being adopted, there must be a security that authenticate the user when accessing the cloud services that is bound to the rules between the cloud computing provider and the client side. The existing system provides authentication based on keys Encryption algorithms either symmetric key-based or asymmetric are key-based. Both encryption approaches have a major problem related to encryption key management i.e. how to securely generate, store, access and exchange secrete keys. In this paper, an optimized infrastructure for secure authentication and authorization in Cloud Environment using SSO (Single Sign-On) is proposed. SSO is a process of authenticating once and gain access of multiple resources that aims at reducing number of login and password in heterogeneous environment and to gain balance in Security, Efficiency and Usability. Also an authentication model for cloud computing based on the Kerberos protocol to provide single sign-on and to prevent against DDOS attacks is also presented in this paper.
Hybrid SVD For Document Representation Using Different Vectorization
Authors: P Kalpana , B R Rosini , Priya K P Sathya , S Sowmiya
Published: April 2019

Document Clustering is the process of segmenting a particular collection of text into subgroups. Nowadays all documents are in electronic form, because of the issue to retrieve relevant document from the large database. The goal is to transform text composed of daily language in a structured, database format. In this way, different documents are summarized and presented in a uniform manner. The challenging problem of document clustering are big volume, high dimensionality and complex semantics. The objective of this paper is mainly focused on clustering multi-sense word embeddings using three different algorithms(K-means, DBSCAN, CURE). Among these three algorithm CURE gives better accuracy and it can handle large databases efficiently.
Real Time Object Recognition and Classification using Deep Learning
Authors: N Kiruthiga , E Divya , R Haripriya , V. Haripriya
Published: April 2019

Navigation in indoor environments is highly challenging for visually impaired person, particularly in spaces visited for the first time. Various solutions have been proposed to deal with this challenge. In this project consider as the real time object Recognition and classification using deep learning algorithms. Object detection mainly deals with identification of real time objects such as people, animals, and objects. Object detection algorithm uses a wide range of image processing applications for extracting the object's desired portion. This enables one to identify the objects and calculate the accuracy of the object and deliver through voice. Using this information, the system determines the user's trajectory and can locate possible obstacles in that route.
A Novel Adaptable Approach for Sentiment Analysis
Authors: R Aishwarya , C Ashwatha , A Deepthi , Raja J Beschi
Published: April 2019

The internet has provided many novel ways for people to express their ideas and views about different topics, ideas and trends. The contents generated by the users which are present on various mediums like internet blogs, discussion forums, and groups paves a strong base for decision making in diverse fields such as digital advertising, election polls, scientific predictions, market surveys and business zones etc. Sentiment analysis is the process of mining the sentiments from the data that are available in online platforms and categorizing the opinion towards a particular entity that falls on three different categories which are positive, neutral and negative. In this paper, the problem of sentiment classification of election dataset in twitter has been addressed. This paper summarizes the ensemble method, the best way to achieve classification. And also about the ada boosting algorithm and artificial neural networks by which the optimized prediction accuracy is achieved.
Automatic Learner Focus Detection System Over A Live Feed
Authors: G. Poorani , V. Sudharsan , Raj J. Moses Mano
Published: April 2019

The world is turning into a technological sphere. The technologies are evolving every second. With everything available in the Internet, people have started preferring to take their lectures and classes online. And so have the seminars turned into webinars, seminars over web. This system mainly concentrates on determining if a viewer attending the webinar is focused or not towards it. The main aim of this system is to recognize the eye gaze of a viewer over a live session with the help of some computer technologies and letting the presenter know if the viewer is focused on the session or not. By this, the presenter will know how well he/she is capable of keeping his viewers focused and he/she can work on his skills if the viewers are not focused. The access to the viewer's webcam is sufficient to achieve the goal.
A Systematic Algorithm for Data Cluster Using Map-Reduce Approach
Authors: S Kechika. , B Sapthika. , B Keerthana. , S Abinaya. , A Abdulfaiz.
Published: April 2019

We have been studying the problem clustering data objects as we have implemented a new algorithm called algorithm of clustering data using map reduce approach. In cluster, main part is feature selection which involves in recognition of set of features of a subset, since feature selection is considered as a important process. They also produces the approximate and according requests with the original set of features used in this type of approach. The main concept beyond this paper is to give the outcome of the clustering features. This paper which also gives the knowledge about cluster and it's own process. To processing of large datasets the nature of clustering where some more concepts are more helpful and important in a clustering process. In a clustering methodology where more concepts are very useful. The feature selection algorithm which affects, the entire process of clustering is the map-reduce concept. since, feature selection or extraction which is also used in map-reduce approach. The most desirable component is time complexity where efficiency concerns in this criterion. Here time required to find the effective features, where features of quality subsets is equal to effectiveness. The complexity to find based on this criteria based map-reduce features selection approach, which is proposed and evaluated in this paper.
Medical Assistant Chat-Bot for Health Care Application
Authors: Pamina J , S Ajeykanth , P Arjun , Krishna T Jitthesh
Published: April 2019

IoT revolution is re-designing modern health care with high technological, economic, and social prospects. Artificial intelligence (AI) aims to substitute human cognitive functions. It gives a paradigm shift to healthcare, powered by increasing availability of healthcare data and rapid progress of analytics techniques. The internet of things has lots of applications in healthcare, from remote monitoring to smart sensors and medical device integration. It has the ability to not only keep patients safe and healthy but to improve how physicians deliver care as well. Healthcare IoT can also boost patient engagement and satisfaction by allowing patients to spend more time interacting with their doctors. With the combination of both IoT & AI technologies, it can apply chatbots for medical assistance in healthcare. An IoT based monitoring system & AI based analytics system with an interactive chat-robots is the more outstanding application in healthcare. The Medical Assistant recognizes the user voice input and converts the speech into text. Here we concentrate on the different type of fevers, like chickenpox, malaria, septicemia, viral fever etc. Each fever has different symptoms .we finalize the fever by using symptoms. After that text mining, those phrases would be split as a noun and medical terms. From term analysis, the assistant will answer the query from users. It also analyzes the sensor data (body temp, heartbeat) from the cloud and expresses the user health condition.
Supervised Machine Learning Algorithms for Credit Card Fraudulent Transaction Detection
Authors: R Karthik , R Navinkumar , U Rammkumar , K. C. Mothilal
Published: April 2019

Cashless transactions such as online transactions, credit card transactions, and mobile wallet are becoming more popular in financial transactions nowadays. With increased number of such cashless transaction, number of fraudulent transactions is also increasing. Fraud can be distinguished by analyzing spending behavior of customers (users) from previous transaction data. Credit card fraud has highly imbalanced publicly available datasets. In this paper, we apply many supervised machine learning algorithms to detect credit card fraudulent transactions using a real-world dataset. Furthermore, we employ these algorithms to implement a super classifier using ensemble learning methods. We identify the most important variables that may lead to higher accuracy in credit card fraudulent transaction detection. Additionally, we compare and discuss the performance of various supervised machine learning algorithms that exist in literature against the super classifier that we implemented in this paper.
Secured Routing in Mobile Ad hoc Networks (MANETs)
Authors: Maharaja S. , Jeyalakshmi R. , Sabarish Kanna A.V. , Priya M. Deva
Published: April 2019

A Mobile Adhoc Network (MANET) is prone to attacks. Adversaries take hold of the network, thus degrading their performance. Various attacks are prevalent in MANET, out of which Byzantine attack plays a vital role. A node or group of nodes present in the routing path between the source and the destination may be compromised due to Byzantine attack. In this paper, Cohen Kappa Reliability Coefficient based Mitigation (CKRCM) mechanism is proposed to deal with these attacks. The intermediate nodes are monitored by their neighbors for a timestamp. If the monitoring node does not receive an acknowledgment, then the nodes are perceived to be attacked. The trustworthiness of the nodes is built by computing the trusts and reliabilities of the nodes. It is seen that the proposed scheme outperforms the existing scheme in terms of Throughput, Packet Delivery Ratio (PDR) and Packet Loss Ratio (PLR).
Analytical Study of Radio Frequency Radiation Exposure Level from Different Mobile Base Transceiver Stations in Urban area
Authors: O. A. Aremu , O. S. Makinde , L. O. A. Oyinkanola , Ademola Akande
Published: April 2019

Several base stations have been installed due to large economy demand for advancement in technologies. In this work, measurements of radiation level emitted from the base stations were made using a hand held GQ-380 EMF RF meter, the distance was measured at the interval of 20 m from the foot of the base station using a digital distance wheel meter. The electric field of the base station was measured using a GM 3120 electromagnetic radiation tester. The experimental results from this study shows that generally, for all base stations considered, the power density increases between (0 – 40 m) from the base stations and it decreases as the distance increases from 40 – 300 m. The maximum radiated value obtained was 13.35% of the Non-ionizing radiation protection standards (ICNIRP) recommended limit and the average power density for the multiple network was found to be 0.021 mW/m2 while that of single network was found to be 0.006 mW/m2, this is far below the recommended safety level standard for public exposure. Going by the low level of radiations obtained from the various locations in this study, it is discovered that all the operators comply with the ICNIRP recommended level which is 0.45 W/m2. It is therefore concluded that the electromagnetic emission from GSM base stations in the selected areas pose no threat to members of the public within this area.
Automatic Bill Payment using Natural Language Processing
Authors: Prabha Dhivya , Shankar Siva , Sowndararaj Er , Kumar Vignesh
Published: April 2019

In the modern world, people receive various bills through post, sms, emails etc. They use cards, e-wallets and net banking to pay them in online. This manual process can be automated if the user wishes to pay selective or each bill he/she receives monthly. It is common that, most of the bills we receive nowadays are through sms and emails,with the help of Natural Language Processing , the message can be classified i.e whether the message is a bill or not. If the message is a bill, then there will be sufficient details to pay it, such as cost, user unique number, purpose of payment. From these details, the application can pay through online from the registered card details. A push notification is sent to the user regarding the transaction, whether it is successful or not. The details are completely stored in the cloud. The selected type of bills are stored in the app itself. Moreover the application is capable of paying others bill if the user wishes to pay.
Robust Iris Classification Based on Deep Neural Network (DNN) and Stationary Wavelet Transform (SWT)
Authors: S Priyanka , V Pavithra , M Pavithra , Bhuvana S.
Published: April 2019

The eye is a vital part of our body. It consists of several layers like sclera, retina, tunica, and iris. Among these several layers, Iris plays a vital role in human visionary. There are various infections which affect the Iris functioning. The sign, symptoms, and diagnosis of this is still a challenge for doctors. To overcome this many techniques and technologies have been introduced. But still, the existing system has several drawbacks in recognition like a huge amount of dataset, classification, extraction, etc. To overcome this we propose a system where Deep Neural Network plays a major part. It classifies the iris disease in our eyes in a more clear and precise manner. In additional to Deep Neural Network several other algorithms have been used like Stationary Wavelet Transform, for image selection and recognition, Local Binary Pattern, for Feature extraction and at a final stage Deep Neural Network for classification of Iris images.
Automated Courier Management System
Authors: Aravind T. , Kumar P. Dileep , Saketh D.
Published: April 2019

This project deals with courier management used for activities like out delivery, shipping details, pickup centre, employee details and shipper’s information. It is difficult to carry out this process manually. Hence it is commended to automate the process by developing software as the world is turning into Information technology. The process involved in this system is to maintain bookings, maintain details of incoming couriers and to maintain shipping and return details. People when transfer their products through courier service, wants to know whether the product had reached the customer or not and at what time it would reach the destination. So if we go through computer system we can easily access the data. It also contains best storage capacity. Work would become very easy and easy to update any information. This system will have different modules. The login section will have login access for both employee and the user. So by this user can track the details of his shipping.
Accident Severity Prediction Using Data Mining Methods
Authors: Ramya S. , Reshma SK. , Manogna V. Dhatri , Saroja Y. Satya , Gandhi G. Sanjay
Published: April 2019

The smart city concept provides opportunities to handle urban problems, and also to improve the citizens’ living environment. In recent years, road traffic accidents (RTAs) have become one of the largest national health issues in the world and it is leading cause for deaths. The burden of road accident casualties and damage is much higher in developing countries than in developed countries. Many factors (driver, environment, vehicle, etc.) are related to traffic accidents, some of those factors are more important in determining the accident severity than others. The analytical data mining solutions can significantly be employed to determine and predict such influential factors among human, vehicle and environmental factors. In this research, the classification technique i.e., Random forest algorithm is used to identify relevant patterns and for classifying the type of accident severity of various traffic accidents with the help of influential environmental features of RTAs that can be used to build the prediction model. This technique was tested using a real dataset. A decision system has been built using the model generated by the Random Forest technique that will help decision makers to enhance the decision making process by predicting the severity of the accident.
Savings of Crops from Wild Animals Solar Operated Mechatronics Embedded System
Authors: M. Sakthivel , G Kannan. , G Pradeep.
Published: April 2019

Most of the food requirements of people are meet by Agriculture and also for the Industries raw materials. Due to intrusion of wild animals in agriculture land, crops are undergoing a heavy loss presence of wild animals are to be monitored to protect crops. Traditional methods of detecting animals in paddy fields and farms include the use of human eyes to witness animal movements. It is not possible for human beings to monitor animal movements continuously throughout. We propose a method to protect farms from wild animals without normal fencing. The animal detection setup is placed in safeguard the crops from the wild animals. Electricity is needed to run this setup consisting of a Torque Motor. Due to scarcity of electricity solar energy is promoted in this setup to run the Torque motor and Multiple Buzzer with High Frequency is used. It Makes sound on Receiving the signal from PIR Sensor.
Conhecimento e Atitudes sobre o Câncer de Próstata no Brasil: Revisão Integrativa
Authors: Krüger Francine Paz Gehres , Cavalcanti Gustavo
Published: April 2019

Introdução: O câncer de próstata está entre as doenças crônicas não transmissíveis que mais afetam os idosos, sendo a idade um fator relevante para esse agravo. É o segundo tipo de câncer de maior prevalência na população masculina, tornando-se um problema de saúde pública. Para tanto, a prevenção e o diagnóstico ficam comprometidos pela baixa procura dos homens ao serviço de saúde. Objetivo: Identificar os obstáculos para a realização do exame de próstata entre os homens. Método: Revisão integrativa da literatura realizada nas bases de dados da BVS, Lilacs, Medline e BDENF. Foram critérios de inclusão: artigos científicos que retratam as ações públicas direcionadas ao câncer de próstata, indexados na base de dados da BVS, publicados em língua portuguesa, inglesa e em espanhol, disponíveis on-line na íntegra. Resultados: Foram encontradas 68 publicações na base de dados Medline, 62 na Lilacs e na BDENF 17, totalizando 147 artigos que poderiam ter relação com o tema da pesquisa. Após leitura dos resumos, desse total, 139 artigos não possuíam relação direta com o estudo, estavam indexados em mais de uma base de dados ou estavam duplicados, totalizando oito artigos publicados para análise. Discussão: Após leitura interpretativa, emergiram três categorias: dificuldades políticas organizacionais para a prevenção do câncer de próstata, dificuldades socioculturais para prevenção do câncer de próstata e estratégias para prevenção desse câncer. Conclusão: É necessário desenvolver a prevenção com mais naturalidade, a partir de informações claras e eficazes pelos meios de comunicação.
Agihan Kualitas Air Kali Surabaya Berdasarkan Perbedaan Penggunaan Lahan
Authors: Yulfiah Yulfiah , Suzantho Ferry , Kusuma Maritha Nilam
Published: April 2019

Surabaya River is very beneficial to Surabaya people as its water becomes the  main source of PDAM (Perusahaan Daerah Air Minum of Regional Water Utility
Company). The existing indications on pollution in the flow of Surabaya River due to various activities at its riverbank must not be ignored. Therefore, a study on identifying the distribution of water quality of Surabaya River is required so as to be a reference for formulating control actions to river damage. Identification on water quality distribution was carried out based on the differences of land-use around the left and right sides of river. The research involved the variables of the qualities of river water and waste water thrown into the river, river characteris-tics, and land-use. The results of research  demonstrated that the upstream water quality of Surabaya River was relatively better than the downstream. This statement was proven by the humans’ activities which were more intensively carried out at the downstream area. Numerous land-uses and great number of people living at the riverbank became the phenomena  increasing pressures toward the decreasing quality of river water.
Perancangan Purwarupa Sistem Informasi Online Pendistribusian dan Persediaan Logistik Saat Tanggap Darurat Bencana di BPBD Pidie Jaya
Authors: Zulfadli Zulfadli , Nizamuddin Nizamuddin , Nasaruddin Nasaruddin
Published: April 2019

Logistics supply when emergency of disaster comes up that have some problems to be considered  much as setting up of emergency operations center irregularly, less coordination between sectors, the data of victims is not properly recorded, and the logistics supply not appropriate with the need of victims. These problems occured because there are no information connected between sectors related to victim data, and the aid that has been fulfilled is very urgent logistics at the disaster site. Information system for distribution and logistics supplies during disaster response is needed to realize effective and efficient distribution. This information system design  includes planning, system analysis, collecting data, system design, system testing and implementation. This  research was conducted at BPPD office in Pidie Jaya Regency. This information distribution and logistics inventory system that is designed will simplify and accelerate the process of recording in distribution and logistics supply. The results of this system can be introduced to society, so that when disaster occurs the community will receive information quickly and accurately related to distribution and logistics supply
Analisis Komponen Yield Minyak Mikro Alga Hijau Dengan Medium Detmer
Authors: Bahagia Bahagia , Viena Vera
Published: April 2019

This study examines CO2 for the growth of green microalgae by cultivating algal strains in a tank type reactor or fermentor. The study included optimization of the productivity of green algae in the capture of CO2 which can be used as a greenhouse gas catcher. Green algae were isolated from several waters in Banda Aceh and Aceh Besar. The microalgae species of this isolation and its identified species were subsequently cultivated in a tank-shaped cultivation (cultivation) container with 4 flourescent lamps (2x8 watts; 4x8 watts) installed on the outside side of the tank. This study evaluated the comparison of the growth of aerated microalgae O2 (1.25 liters / minute) with fixation of CO2 (1 and 2 liters / minute). The capture of CO2 into carbon dioxide  is done by looking at the growing biomass, and the yield content of oil in biomass. The results showed that there were significant differences in the growth patterns of microalgae given O2 aeration and CO2 fixation. Modified & CHU 13 Detmer Modified media does not provide a significant difference to algal growth. With a large intensity of light with a medium that is sufficient to increase the growth of microalgae until it reaches the death phase. Component analysis by Chromatography Gas Mass Spectrometry (GC-MS) shows that the largest component in vegetable oils from green microalgae is Palmatic acid (9.36%), Thiogeraniol (24.63%), Cyclopropane Methanol (2.45%), Farnesol ( 2.39%), Trimethyl (2.78%) and Dodencadien (5.06%).

 
Pelatihan Budidaya Sayur dengan Metode Hidroponik di Desa Guntung Payung, Banjarbaru
Authors: Sunardi Sunardi , Istikowati Wiwin Tyas , Pujawati Eny Dwi
Published: April 2019

Guntung Payung land condition majority is peat that makes low productivity of vegetables, difficult land preparation, and much consume of fertilizer. In the other hand, partner location in this program is an urban area that near international airport, caused the change in land function from the farming area to be residence area. That condition caused the traditional farming area is not enough. The low education level and skills of community inhibit to learn and try new technology for increasing income level. The training of the hydroponic system to the community in this program can solve the problem that happens in this partner community. With knowledge of hydroponic technology, it is expected that the partner�s income will increase and this group of hydroponic farmers can supply the vegetables need in Banjarbaru area.
Hubungan Footwork, Kekuatan Otot Tungkai Dan Tinggi Lompatan Terhadap Kemampuan Smash Bulutangkis
Authors: Gustaman Gusti Pramudeka
Published: April 2019

Tujuan dari penelitian ini untuk memperoleh gambaran objektif tentang hubungan antara footwork, kekuatan otot tungkai dan tinggi lompatan terhadap kemampuan smash. Metode yang digunakan dalam penelitian ini adalah metode eksperimen dengan uji korelasi. Populasi dan sampel dalam penelitian ini sebanyak 10 atlet putra. Instrumen yang digunakan dalam penelitian adalah tes shuttlerun, leg-press, vertical jump, Hubungan footwork dengan kemampuan smash adalah sebesar 0,81 (65,61%). Sehingga hubungan footwork dengan kemampuan smash signifikan dan intrepentasi nya sangat kuat. Hubungan kekuatan otot tungkai dengan kemampuan smash adalah sebesar 0,81 (65,61%).  Sehingga terdapat hubungan kekuatan otot tungkai dengan kemampuan smash signifikan dan intrepentasinya sangat kuat. Hubungan tinggi lompatan dengan kemampuan smash adalah sebesar 0,85 (72,25%). Sehingga terdapat hubungan tinggi lompatan dengan kemampuan smash signifikan dan intrepentasi nya kuat. Maka dapat dinyatakan bahwa terdapat hubungan yang signifikan antara footwork, kekuatan otot tungkai dan tinggi lompatan terhadap kemampuan smash. Kesimpulan dari penelitian ini adalah latihan footwork, kekuatan otot tungkai dan tinggi lompatan dapat meningkatkan hasil kemampuan smash.
UTILIZATION OF A SOCIAL MEDIA PLATFORM TO DEVELOP CONTINUING EDUCATION PROGRAMMING FOR PROMOTING NURSING PRACTICE IN CAMBODIA
Authors: Reed Karen Simon
Published: April 2019

Background: Cambodia’s nursing profession and nursing education system continue to progress 40 years after destruction by the Khmer Rouge. The author, who has a relationship with a hospital in southern Cambodia, was asked to teach physical assessment techniques to improve patient care.

Objective: This study aimed to evaluate the impact of culturally congruent physical assessment media on the knowledge-base of Cambodian nurses.

Methods: This article describes two years of an on-going project designed by the author who annually recruits US based BSN nursing students to use the ADDIE model to create and record segments on physical assessment which are posted on a private You Tube channel for the limited English- speaking Cambodian nursing staff. Optional post-tests are administered by the Cambodian hospital’s nursing director.

Results: Test results reflect knowledge gained on cardiac, pulmonary, and gastrointestinal physical assessment skills with means ranging from 73.55% to 95.71%. Physical assessment skills until recently were not taught in Cambodia's nursing programs. Cambodia's nursing profession is advancing and a corresponding skill set including conducting physical assessments is necessary. As a majority of the project participants did not have prior exposure to the material, a pre-test was not provided and participation in post-testing was optional.  The objective was to provide useful professional educational materials at a comfortable language level for the Cambodian nurses using examples which were culturally relevant.

Conclusion: The BSN students successfully developed culturally relevant educational products the Cambodian nurses found useful.
VALIDITY AND RELIABILITY OF NURSING INTERVENTION CLASSIFICATION: SELF-CARE ASSISTANCE ON PATIENTS WITH STROKE
Authors: Nurjannah Intansari
Published: April 2019

Background: Nursing intervention is part of nursing process. The accurateness of intervention needs to be explored through an effort to measure validity and reliability of the intervention.
Objectives:  This study aimed to investigate the validity and reliability of four Nursing Intervention Classifications (NICs) of Self-Care Assistance (SCA) on patients with stroke.
Methods: Validity measurement involved 4 experts, while reliability involved 7 samples for each NIC. Validity was analyzed using content validity index (I-CVI and S-CVI), while reliability was analyzed using kappa and percent agreement.
Results: Sixteen activities of NICs (I-CVI score less than 0.78) were eliminated and two activities considered not applicable. The results of reliability were above 0.85 kappa value with 85% of percent agreement.
Conclusion: Elimination of not valid activities increased reliability.
A NURSING REHABILITATION PROGRAM TO IMPROVE THE QUALITY OF LIFE OF PATIENTS WITH MENINGIOMA: A NARRATIVE REVIEW
Authors: Ganefianty Amelia , Yona Sri
Published: April 2019

Meningioma is the most common type of primary brain tumor, which affect several domains of life, such as physiological, psychological, and social life conditions. Although surgery has been performed on meningioma patients in Indonesia, some patients still experience sequelae such as headache, impaired mobilization, disruption of activity, and visual disturbances. This narrative review aims to describe nursing rehabilitation programs in patients with meningioma in Indonesia. As a result, the nursing rehabilitation program is considered as an integral part of multidisciplinary rehabilitation, which can be applied in the nursing rehabilitation center and in the form of telenursing. The roles of nurses include providing evidence-based direct care, psychosocial support, patient / family education, care coordination, and continuing health promotion starting from the period of patient care in the hospital to discharge. In conclusion, the nursing rehabilitation program has the potential to improve the quality of life in meningioma patients, especially in Indonesia.
DEGREE OF SUSPICION OF PERIPHERAL ARTERY DISEASE AMONG GERIATRICS AND POLICEMEN IN ILIGAN CITY, PHILIPPINES
Authors: Galinato Jan Igor Temple
Published: April 2019

Background: Peripheral artery disease is a type of cardiovascular disease which belongs to vascular system disease and ranked the second most common non transmissible disease that cause death in the Philippines. The ankle brachial index (ABI) constitutes simple, non-invasive, cost-effective method for the early detection of peripheral artery disease (PAD) which complements assessment of cardiovascular risk.
Objective: The study aims to determine who are at risk of peripheral artery disease among the Geriatrics and Policemen in Iligan City.
Methods: It utilized descriptive-correlational-comparative research design and purposive sampling method. The data were gathered among 40 respondents: 20 Geriatrics and 20 policemen from Camp Tomas Cabili in Iligan City with the use of modified standardize questionnaire from Southern California Health Specialist Peripheral Artery Disease Patient Questionnaire.
Results: Results showed majority (50%) of respondents were 50 years old and above; most (65%) were male. Pearson Correlational Coefficient shows that, among the demographic profile of the respondents, only age and lifestyle (diet and exercise) had a significant relationship with their degree of suspicion of having PAD. On the other hand, there was no significant relationship between gender, history of heredo-familial diseases, smoking, alcohol drinking habits, and the respondent’s degree of suspicion of having PAD. The result contradicts the nursing maxim that smoking is the most important risk factor for PAD; as in this case, even if most of the respondents were non-smokers and non-alcoholics, their poor diet and exercise alone increased their risk or degree of suspicion of having PAD.
Conclusion: While age is beyond the control of the respondents, there is much that they could do to improve their lifestyle (diet and exercise) to lessen their risks for PAD. An institutional cafeteria serving nutritious food and exercise gyms could greatly benefit both the geriatrics and the policemen.
EMANCIPATION THROUGH NURSING WITHIN THE CONTEXT OF HEALTH DISPARITIES
Authors: Moreno-Lacalle Rainier C. , Locsin Rozzano C
Published: April 2019

Background: Health disparity can be observed using the lens of emancipation through nursing.

Objective: This paper aims to describe the concept of emancipation through nursing, situate its position within the theory of ’Emancipation through Nursing,’ and illuminate the implications of caring within the context of health disparity.

Methods: The sequential process of Rodgers’ Evolutionary Concept Analysis and Chinn and Kramer’s Process of Theory Construction were applied. Review of the literature utilizing six major databases was conducted using the keywords ‘emancipation’ or ‘empowerment’ and ‘health disparity’ and ‘nursing’ and with year restrictions from 2000-2017.

Results: Findings revealed that the attributes of the concept of ‘emancipation through nursing’ are conscientization or critical consciousness, correct and adequate health information, co-construction of a creative process for health service, and collective action. These attributes were preceded by the following antecedents: marginalization, hegemony, the oppressed and the emancipator, centering, and liberation. The resulting features of enlightenment, enervation, empowerment, and evolvement served as constructs that collectively structured the theory of Emancipation through Nursing in the Context of Health Disparities.

Conclusion: Nurses worldwide will benefit from descriptions and illuminations of the concepts of emancipation and nursing within the theory of Emancipation through Nursing in the Context of Health Disparities.
PENINGKATAN KETERAMPILAN MENULIS MANUSKRIP JURNAL ILMIAH MENGGUNAKAN STRATEGI SYNERGETIC TEACHING PADA MAHASISWA PGSD UNNES
Authors: Sismulyasih Sb Nugraheti Sismulyasih Sb
Published: April 2019

27th January 2012 Higher Education General Directorates (ditjen dikti) Education ministry and Republic Of Indonesia culture publish form letter that comprising about scientific publication liabilities as requisite of pass programs master, magister, and doctor. Base of that verdict, researcher most draw for analyzes ability to make scientific journal manuscript PGSD UNNES'S college student, since new a portion PGSD'S college student little that understands with every consideration sistemation of scientific article writing. Researcher utilizes strategy Synergetic Teaching to increase ability writes scientific journal manuscript PGSD UNNES'S college student. Problem formula in observational it how to ability front end write scientific journal manuscript PGSD UNNES'S college student utilizes Synergetic Teaching? and If strategy Synergetic Teaching can increase ability writes scientific journal manuscript college student to the effect in this research is to increse writes skill college student write PGSD UNNES's journal manuscript year generation 2011. The method that is used in this research is method pseudo experiment attention by design one group pretest postest design . This observational that have been use 1) Essay and 2) nontest (questionnaire, observation / questionnaire, interview, and discussion). This research is executed on PGSD UNNES'S college student year generation 2011. This observational result is on reading ability early reference from 55% have been increase becomes 82,5% and understanding listen presentations of 47,5% have been increase as 72,5%. Meanwhile for one was complete through reading ability reference from 45% become down becomes 17,5% and understanding listen presentations of 52,5% as 27,5% that is mean by with strategy Synergetic Teaching is effective for increase known ability of college student.Keywords: writing skill, scientific journal manuscript, synergetic teaching
UPAYA MENINGKATKAN DISIPLIN GURU BAHASA INDONESIA DALAM MENGAJAR MELALUI PEMBINAAN DI SDN 001 ROKAN IV KOTO
Authors: ' Pauzar
Published: April 2019

Based on observations of SDN 001 Rokan IV Koto, discovered the phenomenon amongothers, there are many teachers who come late to school, there is still a lack of discipline inthe Indonesian teachers teaching in the classroom, the teacher is often late to class. Thepurpose of this research is to investigate the Indonesian teacher discipline in teaching can beimproved through coaching in SDN 001 Rokan IV Koto. Subjects in this study were teachersSDN 001 Rokan IV Koto Indonesian in as many as 13 teachers. From the description of dataprocessing and discussion it was concluded that the discipline of Indonesian teachers inteaching obtained in the first cycle of 56% with a good category and the second cycleincreased to 74% in both categories. This means that development activities can improve thediscipline of Indonesian teachers in teaching in SDN 001 Rokan IV Koto is successful.
PENINGKATAN KEMAMPUAN MEMBACA DAN MENULIS PERMULAAN MENGGUNAKAN STRATEGI BENGKEL LITERASI PADA SISWA SD
Authors: Sismulyasih Sb Nugraheti
Published: April 2019

One of the studies that revealed the lack of students' reading ability, in this case the third grade students of SD/MI, is a Progress in International Reading Literacy Study (PIRLS) study, which is an international study onchildren's world-wide reading sponsorship sponsored by The International Association for the EvaluationAchievement. The study results show that the average Indonesian child is ranked fourth from bottom of 45countries in the world. This makes the researchers trying to explain how the level of understanding of literacy inelementary school students and has the potential to improve the ability to read writing writing, especially in SDLabschool Kecamatan Gajahmungkur. The researcher uses a literary workshop strategy model to improvestudents' reading ability to write SD Labschool Kecamatan Gajahmungkur. The method used in this research isquasi-experimental method with one group pretest-posttest design. This research technique using 1) Test and 2)nontes (questionnaire, observation, and strategy of literary workshop). This research was conducted in Grade 3of SD Labschool Kecamatan Gajahmungkur. The results of this study are the initial reading ability to write thebeginning of 40% to 93.33% and unfinished from 60% to 6.67%, which means reading the beginning writingwith RW for elementary students is effective to improve understanding of reading ability.
PENERAPAN MODEL PEMBELAJARAN INKUIRI UNTUK MENINGKATKAN HASIL BELAJAR IPA SISWA KELAS V SEKOLAH DASAR
Authors: Azizah Azizah
Published: April 2019

The background of this study is the low absorption of learners, especially in grade V SDN 019 Bumi Ayu studyresult of low student science. This can be seen from the students score in the middle of the average value of only61.5. The percentage of students who reach the KKM is only 50% out of 20 students, and the total number ofcompleted students is only 10 people. This research is a classroom action research conducted on Grade Vstudent of SDN 019 Bumi Ayu. The results obtained data Activity teachers reached 41%. At the second meetingalso reached 54%. Meanwhile, after the second cycle increased at the third meeting with a percentage of 66%.At the fourth meeting with a percentage of 75%. While the activity of students on the first cycle of the firstmeeting with a percentage of 41% At the second meeting with a percentage of 58% in the second cycle of studentactivity with a percentage of 70%. The 4th meeting was a percentage of 79%. The result of science learning ofgrade V students on the basic score is 50% of the total students, whereas in daily test I students reach KKM to60% of the total students, and in daily test II the number of students reaching KKM increased to 80%. Similarly,in the initial data the average value of 61.5 cycles I increased with the average student score 67 and cycle IIwith the average score of 72.25 students.
PENERAPAN MODEL PEMBELAJARAN KOOPERATIF TIPE STAD UNTUK MENINGKATKAN HASIL BELAJAR IPA SISWA KELAS II SEKOLAH DASAR
Authors: Hazmiwati Hazmiwati
Published: April 2019

The background of this research is still low absorption of second grade students in science subject matter. Thepurpose of this study is to improve the learning outcomes of Science Class II SDN 008 Bumi Ayu through STADtype cooperative learning model. This research took place in class II SDN 008 Bumi Ayu with the number ofsubjects as many as 20 people consisting of 9 female students and 11 male students. This research is a classroomaction research conducted in two cycles. Based on the percentage results obtained by individual and classicalcompleteness by applying STAD type cooperative learning model, before the action of 20% is complete, in thefirst cycle increased 55% and in the second cycle increased by 90%. Increased learning outcomes on baselinescore 64 increased to 76.75 in cycle I, with an increase of 19.92%. In cycle II the average of student learningoutcomes again increased to 84.5 with the increase that occurred from cycle I to cycle II is equal to 10.1%.
PENERAPAN MODEL PEMBELAJARAN KOOPERATIF TIPE STAD UNTUK MENINGKATKAN HASIL BELAJAR PKN SISWA KELAS IV SD NEGERI 79 PEKANBARU
Authors: Noviana Eddy , Huda Muhammad Nailul
Published: April 2019

This study aims to improve PKn learning outcomes of fourth grade students of SD Negeri 79 Pekanbaru with the application ofSTAD type cooperative learning model. This research is a classroom action research conducted in SD Negeri 79 Pekanbaru, thesubject of this research is the fourth grade students with a total of 40 students. The results showed that the students' learningoutcomes on the baseline score an average score of 48.61 increased by 16.95 points to 65.56 in cycle I. In the second cycle theaverage value of 71.67 increased from the first cycle of 6.11 points . Classical completeness in the basic score of 33% (18students). In the cycle I test, the completeness increased to 72.5% (27 students). In cycle II, classical completeness completes to87.5% (35 students). From the results of the study, it can be concluded that the application of cooperative learning model studentteam achievement division (STAD) can improve the learning outcomes of Civics students in grade IV SD Negeri 79 Pekanbaru
On the permutability of Sylow subgroups with derived subgroups of B-subgroups
Authors: Zubei Ekaterina V.
Published: April 2019

A finite non-nilpotent group G is called a B-group if every proper subgroup of the quotient group G/Φ(G) is nilpotent. We establish the r-solvability of the group in which some Sylow r-subgroup permutes with the derived subgroups of 2-nilpotent (or 2-closed) B-subgroups of even order and the solvability of the group in which the derived subgroups of 2-closed and 2-nilpotent B-subgroups of even order are permutable.
Stability of some differential equations of the fourth-order and fifth-order
Authors: Kalitine Boris S.
Published: April 2019

The article is devoted to the study of the problem of stability of nonlinear ordinary differential equations by the method of semi-definite Lyapunov’s functions. The types of fourth-order and fifth-order scalar nonlinear differential equations of general form are singled out, for which the sign-constant auxiliary functions are defined. Sufficient conditions for stability in the large are obtained for such equations. The results coincide with the necessary and sufficient conditions in the corresponding linear case. Studies emphasize the advantages in using the semi-positive functions in comparison with the classical method of applying Lyapunov’s definite positive functions.
On spectra of upper Sergeev frequencies of linear differential equations
Authors: Vaidzelevich Aliaksei S.
Published: April 2019

It is known that the spectra (ranges) of upper and lower Sergeev frequencies of zeros, signs, and roots of a linear differential equation of order greater than two with continuous coefficients belong to the class of Suslin sets on the nonnegative half-line of the extended real line. Moreover, for the spectra of upper frequencies of third-order equations this result was inverted under the assumption that the spectra contain zero. In the present paper we obtain an inversion of the above statement for equations of the fourth order and higher. Namely, for an arbitrary zero-containing Suslin subset S on the non-negative half-line of the extended real line and a positive integer number n greater than three a n order linear differential equation is constructed, which spectra of the upper Sergeev frequencies of zeros, signs, and roots coincide with the set S.
Sequential probability ratio test for many simple hypotheses on parameters of time series with trend
Authors: Ton That Tu  , Kharin Yu.
Published: April 2019

The problem of sequential test for many simple hypotheses on parameters of time series with trend is considered. Two approaches, including M-ary sequential probability ratio test and matrix sequential probability ratio test are used for constructing the sequential test. The sufficient conditions of finite terminations of the test and the existence of finite moments of their stopping times are given. The upper bounds for the average numbers of observations are obtained. With the thresholds chosen suitably, these tests can belong to some specified classes of statistical tests. Numerical examples are presented.