JINAV: Journal of Information and Visualization

Journal Information
EISSN : 2746-1440
Current Publisher: Yayasan Ahmar Cendekia Indonesia (10.35877)
Total articles ≅ 13

Latest articles in this journal

Ritik Ranjan Gupta, Ravi Kumar Arya, Jatin Kumar, Tanay Shubham
JINAV: Journal of Information and Visualization, Volume 1, pp 93-93; doi:10.35877/454ri.jinav230

This paper was retracted by JINAV Journal on 03 February 2020. This paper was published in other journal (International Journal of Management and Humanities (IJMH), Volume 5 Issue 5, January 2021).
Uduakobong P. Akpabio, Pius U. Angioha, Chiamaka V. Egwuonwu, Esther B. Awusa, Magareth N. Ndiyo
JINAV: Journal of Information and Visualization, Volume 1, pp 83-92; doi:10.35877/454ri.jinav262

Maternal mortality remains unacceptably high despite both local and international programs carried at reducing the incidence. Nigeria suffers from 800 maternal death per 100,000 births. This study examines the extent to which cultural practices and quality of medical care determines maternal mortality in Calabar, Cross River State. Using the survey research design, data were collected from 400 women aged between 15 and 49 from Calabar using a self-developed structured questionnaire. The participants were selected using cluster and purposive sampling technique. Data collected from the field was analyzed using descriptive statistics and regression analyses at 0.05 confidence level. Result from the analysis revealed that uncivilized cultural practices lead to high maternal mortality. 75.64 per cent of the participant reported cases of complications during birth in the hands of traditional birth attendants. cultural practices account for 49 per cent of the variation in maternal mortality. Also, result revealed that poor care delivery or quality of medical care leads to high maternal mortality. 54.14 per cent of the participants reported that the cost of medical care for a pregnant woman in the hospital is too expensive. 69.43 per cent reported there have been deaths as a result of lack of care in hospitals. Based on these findings There is need for the government and its health ministry to increase the number of primary health centres in the nation as well as strengthen this health centres to collect high-quality data to respond to the needs and priority of women and girls amongst others.
S.I. Yusifov, N.A. Ragimova, V.H. Abdullayev, Z.B. Imanova
JINAV: Journal of Information and Visualization, Volume 1, pp 74-82; doi:10.35877/454ri.jinav257

The article is dedicated to the study of 5G technology, the name of which we have heard a lot recently. This technology is one of the most talked about technologies of recent times. 5G has entered our lives as the latest and fastest version of mobile networks. Here's a look at how 5G technology came into our lives, how it has captured the attention of users, and finally, what they think about the technology. In addition, what areas are affected by this technology, in particular, its impact on the IoT field has been studied and key theoretical information has been provided.
Nour El-Houda Haddig, Aicha Zerzour, Samir Derouiche
JINAV: Journal of Information and Visualization, Volume 1, pp 60-66; doi:10.35877/454ri.jinav255

The aim of this review was to identify the role of calcium and oxidative stress as factors associated with osteoporosis in postmenopausal women. There are many diseases related to post-menstruation in women, the most important of which is osteoporosis. Calcium levels remains stable until menopause, when the bone resorption rate increases in association with the decrease in ovarian estrogen production that effect the intestinal calcium absorption. On the other hand, studies support that oxidative stress is directly involved in the genesis and development of osteoporosis. However, Oxidative stress blocks the activation of osteoblasts and activates the differentiation of osteoclasts which led to increased resorption rate without adequate and proper bone formation. In conclusion, Physiological changes in postmenopausal women lead to fluctuations in calcium metabolism and oxidative stress, which may lead to the occurrence or development of osteoporosis.
Andreia De Bem Machado, Francisco Fialho
JINAV: Journal of Information and Visualization, Volume 1, pp 67-73; doi:10.35877/454ri.jinav254

Communication between subjects is a challenge that is present in the different dimensions of society. In the educational context it is permeated by different technologies. With the pandemic of COVID-19, technological tools have been extended to several ways of learning, which was present in face-to-face teaching through non-face-to-face classes and also in distance education. Thus, new challenges in communicability between students, teachers and knowledge were present in this scenario. This research intends to share the experiences lived in the educational universe in the distance modality and also in the classes in non-presential regime.
Ansari Saleh Ahmar
JINAV: Journal of Information and Visualization, Volume 1; doi:10.35877/454ri.jinav303

Calculation errors in forecasting a data are very important from a forecasting process. The high level of forecasting accuracy will affect the level of confidence in forecasting decision making.
Stabania Chowdhury, Rahul Kar
JINAV: Journal of Information and Visualization, Volume 1, pp 53-59; doi:10.35877/454ri.jinav215

Fuzzy logic systems have found extensive use in system identification, decision making, and pattern recognition problems from industries to academics. The membership functions play a pivotal role in overall role in fuzzy representation, as these are considered as the building blocks of fuzzy set theory and they decide the degree of truth in fuzzy logic. The extraction of the membership function is ambience dependent and thus complication exists in the process of evaluation. In this assessment the main work deals with the derivation of fuzzy membership function where numerical data is available. The numerical cubic spline and defuzzification technique are used here. In this paper we mainly used triangular fuzzy number to construct the membership function. A case study is furnished to emphasize the advantage of adopting the method.
Rupali Patil, Adhish Velingkar, Mohammad Nomaan Parmar, Shubham Khandhar, Bhavin Prajapati
JINAV: Journal of Information and Visualization, Volume 1, pp 15-26; doi:10.35877/454ri.jinav155

Object detection and tracking are essential and testing undertaking in numerous PC vision appliances. To distinguish the object first find a way to accumulate information. In this design, the robot can distinguish the item and track it just as it can turn left and right position and afterward push ahead and in reverse contingent on the object motion. It keeps up the consistent separation between the item and the robot. We have designed a webpage that is used to display a live feed from the camera and the camera can be controlled by the user efficiently. Implementation of machine learning is done for detection purposes along with open cv and creating cloud storage. The pan-tilt mechanism is used for camera control which is attached to our 3-wheel chassis robot through servo motors. This idea can be used for surveillance purposes, monitoring local stuff, and human-machine interaction.
Ansari Saleh Ahmar
JINAV: Journal of Information and Visualization, Volume 1, pp 34-35; doi:10.35877/454ri.jinav158

This is a response to article by Dr. Ramadhan Tosepu and his colleagues entitled: “Correlation between the weather and the Covid-19 pandemic in Jakarta, Indonesia” in Science of The Total Environment, Vol. 725; and Dr. Muhammad Farhan Bashir and his colleagues entitled: “Correlation between the climate indicators and the Covid-19 pandemics in New York, USA.” in Science of The Total Environment, Vol. 728. We agree with the results of their research, but there are things that need to be clarified in relation to the selection of the Spearman-rank correlation as an analytical tool, because the selection of this analysis is without the normality test of the data. Spearman-rank correlation is useful for non-normally distributed continuous data; can be used for ordinal data; and is relatively robust for outliers.
Yousef Elgimati
JINAV: Journal of Information and Visualization, Volume 1, pp 1-14; doi:10.35877/454ri.jinav149

The main focus of this paper is on the use of resampling techniques to construct predictive models from data and the goal is to identify the best possible model which can produce better predications. Bagging or Bootstrap aggregating is a general method for improving the performance of given learning algorithm by using a majority vote to combine multiple classifier outputs derived from a single classifier on a bootstrap resample version of a training set. A bootstrap sample is generated by a random sample with replacement from the original training set. Inspired by the idea of bagging, we present an improved method based on a distance function in decision trees, called modified bagging (or weighted Bagging) in this study. The experimental results show that modified bagging is superior to the usual majority vote. These results are confirmed by both real data and artificial data sets with random noise. The Modified bagged classifier performs significantly better than usual bagging on various tree levels for all sample sizes. An interesting observation is that the weighted bagging performs somewhat better than usual bagging with sumps.
Back to Top Top