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JOIV : International Journal on Informatics Visualization

joiv
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Published by Politeknik Negeri Padang

ISSN : 25499610 EISSN : 25499904 DOI : -

Core Subject : Science,

Computer Science & IT

JOIV : International Journal on Informatics Visualization is an international peer-reviewed journal dedicated to interchange for the results of high quality research in all aspect of Computer Science, Computer Engineering, Information Technology and Visualization. The journal publishes state-of-art papers in fundamental theory, experiments and simulation, as well as applications, with a systematic proposed method, sufficient review on previous works, expanded discussion and concise conclusion. As our commitment to the advancement of science and technology, the JOIV follows the open access policy that allows the published articles freely available online without any subscription.

Arjuna Subject : -

Articles 479 Documents

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Classification of Tempeh Maturity Using Decision Tree and Three Texture Features - Istiadi; - Faqih; Aviv Yuniar Rahman; Dean Ariesta Aziz; April Lia Hananto; Sarina Sulaiman; Candra Zonyfar
JOIV : International Journal on Informatics Visualization Vol 6, No 4 (2022)
Publisher : Politeknik Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30630/joiv.6.4.983

Tempe is an average food from Indonesia, eaten in Indonesia. Even today, tempe is around the world, and vegans around the world use tempeh as a meat substitute. This study plans to work on the accuracy of tempe characterization by utilizing the three-element extraction technique and the choice tree arrangement strategy. This research uses a decision tree method with three texture features in its classification. The results obtained indicate that this method has the highest Gabor channel level, including extraction, which is 71% accuracy, the split proportion is 10;90 and the lowest is 60% with parted balance of 90:10. The most important level value of GCLM extraction precision is 86% with a split proportion of 90;10 and the lowest price level and 60% level with a split ratio of 10;90 for Wavelet including the highest extraction rate price is 77%. It can be said that from the extraction of three elements, GLCM is the element extraction with the highest value from Gabor and Wavelet, including extraction at a split proportion of 10:90 by 86%. The test shows the Featured Tree highlight designation. The extraction technique was superior to different strategies for interaction characterization of tempe development quality. In the next research, improve the accuracy performance so that it can reach 100% using the CNN deep learning method. Then you can also add Support Vector Machine (SVM) and Naive Bayes methods based on the GLCM Extraction feature.

The Utilization of Augmented Reality Technology for the Development of Tourism Information Media Rosmini Maru; Ali Rahmat Muhammadiyah Nur; Muhammad Yusuf; Sukri Nyompa; - Rusdi
JOIV : International Journal on Informatics Visualization Vol 6, No 4 (2022)
Publisher : Politeknik Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30630/joiv.6.4.1396

The industrial revolution 4.0 has brought tourism trends using enriched interactive technology services. Technology in the world of tourism has helped the expansion of the industry through the promotion and mediation of independent tourists to carry out all services and transactions easily, including obtaining tourist information. This study aims to develop promotion media for geography education tourism in Soppeng Regency and test the effectiveness of the media. This study adopted the Alessi & Trollip learning multimedia development model. The developed media was tested on 20 respondents with 10-item usability scale statements and 5 response options ranging from agreeing to strongly disagree. The level of effectiveness of the media developed after being tested using the usability scale (SUS) system is included in the Good category (good) with an average score of 76.5. This level of effectiveness is included in the acceptable to users or acceptable category, with a grade scale of C and an adjective rating in the Good or good category. The results of this study also indicate that users are satisfied with the developed media but are not enthusiastic so that users can switch to other, more interesting media at any time. In the end, based on the final score obtained, it was concluded that the promotion media for geography education tourism in Soppeng Regency (battle city application) was effective and acceptable to users.

Facial Expression Recognition Using Convolutional Neural Network with Attention Module Habib Bahari Khoirullah; Novanto Yudistira; Fitra Abdurrachman Bachtiar
JOIV : International Journal on Informatics Visualization Vol 6, No 4 (2022)
Publisher : Politeknik Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30630/joiv.6.4.963

Human Activity Recognition (HAR) is an introduction to human activities that refer to the movements performed by an individual on specific body parts. One branch of HAR is human emotion. Facial emotion is vital in human communication to help convey emotional states and intentions. Facial Expression Recognition (FER) is crucial to understanding how humans communicate. Misinterpreting Facial Expressions can lead to misunderstanding and difficulty reaching a common ground. Deep Learning can help in recognizing these facial expressions. To improve the probation of Facial Expressions Recognition, we propose ResNet attached with an Attention module to push the performance forward. This approach performs better than the standalone ResNet because the localization and sampling grid allows the model to learn how to perform spatial transformations on the input image. Consequently, it improves the model's geometric invariance and picks up the features of the expressions from the human face, resulting in better classification results. This study proves the proposed method with attention is better than without, with a test accuracy of 0.7789 on the FER dataset and 0.8327 on the FER+ dataset. It concludes that the Attention module is essential in recognizing Facial Expressions using a Convolutional Neural Network (CNN). Advice for further research first, add more datasets besides FER and FER+, and second, add a Scheduler to decrease the learning rate during the training data.

Digital Image Processing for Height Measurement Application Based on Python OpenCV and Regression Analysis Aji Bijaksana Abadi; Syahfrizal Tahcfulloh
JOIV : International Journal on Informatics Visualization Vol 6, No 4 (2022)
Publisher : Politeknik Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30630/joiv.6.4.1013

Pixel is the smallest element given by the image from a digital camera and is used as a data source in the digital image processing process. In this paper, two data collection processes are carried out, i.e. taking actual height data using a standard stature meter and taking sample photos using a camera placed from the sample with a distance of 160 cm and a height of 100 cm. The sample photos obtained are then processed for segmentation of the sample body against the surrounding environment using several digital image-processing techniques such as grayscale, blur, edge detection, and bounding box in order to obtain a pixel value that represents the height of the sample. The next stage is the regression analysis process by correlating actual height with pixel height using five regression equation analysis methods such as least squares, logarithmic powers, exponentials, quadratic polynomials, and cubic polynomials. This study analyzes the differences between these methods in terms of correlation coefficient, Root Mean Squared Error (RMSE), average error, and accuracy between height calculation data based on digital image processing and actual height measurement data. From the results obtained, the logarithmic power method produces the best analytical value compared to other methods with the correlation coefficient, RMSE, average error percentage, and percentage accuracy of 0.976, 1.3, 0.58%, and 99.42%, respectively. While the cubic polynomial is in the last position, the correlation coefficient, RMSE, average error percentage, and accuracy percentage are 0.978, 1.41, 0.64%, and 99.36%, respectively.

Detection of Soil Water Content Using Continuous Wave Ground Penetrating Radar Sonal Oimbe; Rahul Ingle; Raval Awale
JOIV : International Journal on Informatics Visualization Vol 2, No 1 (2018)
Publisher : Politeknik Negeri Padang

In this work, continuous wave ground-penetrating radar (CW-GPR) has been used for detecting the soil water content in context to farm management. It is here speculated that CW-GPR utilized to observe variations in Soil parameters in different geographical area where traditional methods fails such as reflection-based GPR method. An experiment was performed on different farms in and around Mumbai city locality in a 20 * 14 m section of natural grassland at the SAMEER- IIT BOMBAY Research Facility in Mumbai city, INDIA. Two survey methods such as velocity analysis and GPR reflection surveys of ground wave were inefficient at the experiment site due to the signal attenuation which is related with the clay-rich soil. CW-GPR data sets were collected on regular and daily basis during a 5-d period in February 2017. The samples of soil were collected for analysis purpose from the mentioned geographical area. The clear response has been observed for early time signal amplitude to changes in soil water content using CW-GPR data. The strong correlation has been observed between the GPR data sets with Soil water content, which is uniform with the CW-GPR dependence on relative permittivity. The outcome reveals that the CW-GPR method can be utilized to acquire spatially distributed information on subsurface moisture content in clay-rich soils.

A Simple, Accurate and Highly Secure Method to Encrypt-Decrypt Digital Images Jamil Azzeh; Ziad Alqadi; Qazem Jaber
JOIV : International Journal on Informatics Visualization Vol 4, No 1 (2020)
Publisher : Politeknik Negeri Padang

The digital image may be important and has a secret character, which requires not understanding it when looking at the naked eye or not understanding the contents. So seeking a method of digital image encryption-decryption is a very important task. In this paper we will introduce a new method of digital image encryption-decryption, which will be very simple, highly secure and accurate and highly efficient

Contrasting of Various Algorithmic Techniques to Solve Knapsack 0-1 Problem Yogesh Awasthi; Ashish Sharma
JOIV : International Journal on Informatics Visualization Vol 4, No 1 (2020)
Publisher : Politeknik Negeri Padang

This paper will point of convergence on a relative assessment and estimation of the dynamic programming, B&B, Greedy and Genetic algorithm including of the intricacy of time prerequisites, and the necessary programming endeavors and inspect the absolute incentive for every one of them. Out of these four, Two algorithm (Greedy and Genetic) algorithm can be utilized to clear up the 0-1 Knapsack issue inside a sensible time multifaceted nature. The most pessimistic scenario time unpredictability (Big-O) of the two calculations is O(N). Parallely, these calculations can't find the accurate response to the issue; they are valuable in detecting a close by premier final product as it were. Our basic commitment directly here is to investigate the two calculations contrary to common benchmark realities units and to quantify the precision of the impacts provided by method for each calculation. In this way, we will think about the top notch neighbourhood result created by utilizing the calculation against the genuine real most dependable outcome.

Liquefaction Potential Map based on Coordinates in Padang City with Google Maps Integration - Liliwarti; - Satwarnirat; Alde Alanda; Rizka Hadelina
JOIV : International Journal on Informatics Visualization Vol 4, No 1 (2020)
Publisher : Politeknik Negeri Padang

Abstract— Padang City is prone to liquefaction phenomena due to earthquakes. These phenomena can cause various damages to structures, infrastructures, and even can also cause deaths. Therefore, as one of the urban populated cities, the information about liquefaction potential is needed. One of them is by providing a liquefaction potential map, which is useful for mitigation and seismic disaster risks strategies. This article aims to provide a digital map of liquefaction potential in Padang City that integrates with Google Maps. The map is based on 40 coordinates in 7 subdistricts in the city with 3 colored markers that represent the levels of potential liquefaction i.e. no liquefaction level, moderate liquefaction level, and severe liquefaction level. The levels are classified based on the analysis of the secondary Cone Penetration Test data by using the calculation of the Factor of Safety and Liquefaction Potential Index with an earthquake assumption of 8 SR. The result shows that the map has ben able to display information about liquefaction potential, where 32.05% coordinates are classified as no liquefaction level with the highest percentage are in Kuranji, 22.5% are classified as moderate liquefaction level with the highest percentage are in Padang Utara, and 45.0% are classified as severe liquefaction level with the highest percentage are in Koto Tangah.

A Proposed Framework for Fingerprint-based Voting System in Bangladesh Nahida Nigar; Mohan Lal Nath; MD. Toufiqul Islam
JOIV : International Journal on Informatics Visualization Vol 4, No 1 (2020)
Publisher : Politeknik Negeri Padang

The objective of this project is to improve the existing voting system that will be accurate, transparent, and faster and will ensure a single vote for a single person. Our proposed system has covered all of these issues successfully. This product is affordable by many organizations where preferential elections conducted. The product is a prototype and can be implemented for vast use. Voting is an onerous task for the election commission to conduct free and fair polls in our country, the largest democracy in the world. A lot of money has been spent on this to make sure that the elections are rampage free. But, now- a -days it has become very usual for some forces to indulge in rigging which may eventually lead to a result contrary to the actual verdict given by the people. In order to provide inexpensive solutions to the above, this project is implemented with the biometric system i.e. fingerprint scanning. This is used to ensure the security to avoid fake, repeated voting, etc. It also enhances the accuracy and speed of the process. The system uses a thumb impression for voter identification as we know that the thumb impression of every human being has a unique pattern. Thus it would have an edge over the present-day voting systems. The purpose of such a system is to ensure that the voting rights are accessed only by a legitimate user and no one else. In this, creation of a database consisting of the thumb impressions of all the eligible voters in a constituency is done as a pre-poll procedure. During elections, the thumb impression of a voter is entered as input to the system. This is then compared with the available records in the database. If the particular pattern matches with anyone in the available record, access to cast a vote is granted. But in case the pattern doesn’t match with the records of the database or in case of repetition, access to cast a vote is denied or the vote gets rejected. The result is instantaneous and counting is done. The overall cost for conducting elections gets reduced and so does the maintenance cost of the systems.

Big Data: Definition, Architecture & Applications Humam Khalid Yaseen; Ahmed Mahdi Obaid
JOIV : International Journal on Informatics Visualization Vol 4, No 1 (2020)
Publisher : Politeknik Negeri Padang

Big data is a term for massive data sets having large, more varied and complex structure with the difficulties of storing, analyzing and visualizing for further processes or results. The process of research into massive amounts of data to reveal hidden patterns and secret correlations named as big data analytics. These useful informations for companies or organizations with the help of gaining richer and deeper insights and getting an advantage over the competition. For this reason, big data implementations need to be analyzed and executed as accurately as possible. In this paper; Firstly, we will discuss what big data and how it is defined according to different sources; Secondly, what are the characteristics of big data and where should it be used; Thirdly, the architecture of big data is discussed along with the different models of Big data; Fourthly, what are some potential applications of big data and how will it make the job easier for the persisting machines and users; Finally, we will discuss the future of Big data.

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Rahmat Hidayat

Contact Email
mr.rahmat@gmail.com

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Journal Mail Official
rahmat@pnp.ac.id

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Location
Kota padang,

Sumatera barat

INDONESIA

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Home Page

OAI Link

Editorial Team

Contact

Reviewer

Google Scholar

Contact Name Rahmat Hidayat

Contact Email mr.rahmat@gmail.com

Phone -

Journal Mail Official rahmat@pnp.ac.id

Editorial Address -

Location Kota padang, Sumatera barat INDONESIA

Abstract

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Abstract

Contact Name
Rahmat Hidayat

Contact Email
mr.rahmat@gmail.com

Phone
-

Journal Mail Official
rahmat@pnp.ac.id

Editorial Address
-

Location
Kota padang,

Sumatera barat

INDONESIA