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All Journal IJISTECH (International Journal Of Information System & Technology) IJISTECH
Muhammad Rizal
Universitas Sumatera Utara (USU), Medan - Indonesia
Computer Science & IT Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Engineering Social Sciences

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Implementation of ANN with the Cyclical Order Method For Forecasting the Life Span of the World’s Population Muhammad Rizal; Elviawaty Muisa Zamzami
IJISTECH (International Journal of Information System and Technology) Vol 3, No 1 (2019): November
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/ijistech.v3i1.41

Abstract

This study aims to predict the age (life expectancy) of the world's population. This research is the development of research that has been done before. But in this study only to get the best architectural model to predict the age (life expectancy) of the world's population, using the Cyclical Order method. Whereas in this follow-up research, it will produce forecasting in the form of age (life expectancy) of the population in the world based on a model that has been obtained from previous research. The research data is the age data (life expectancy) of the world's population from the United Nations: "World Population Prospect: The 2010 Revision Population Database". This study uses 5 architectural models including: 3-5-1, 3-8-1, 3-10-1, 3-5-8-1 and 3-5-10-1. Of the 5 models used, architectural models 3-5-10-1 are the best with an accuracy of 97%, the value of MSE training is 0,0009979400 and MSE testing is 0,0008358919. Forecasting results from this study are expected to be a reference for governments in the world, especially Indonesia to pay more attention to the level of health and well-being of its population so that the level of life of the population is getting better and higher.
Cryptographic Symmetry Analysis with AES Algorithm for Safeguarding Data at Government Agencies Muhammad Rizal; Elviawaty Muisa Zamzami; Muhammad Zarlis
IJISTECH (International Journal of Information System and Technology) Vol 3, No 1 (2019): November
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/ijistech.v3i1.42

Abstract

Data is very confidential information because it contains important information about the company or agency. Therefore it is necessary to secure these important data, in order to avoid misuse, theft of information or manipulation by certain parties who are not responsible. To avoid theft and manipulation of data it is necessary to implement a computer-based security system. One of them is by using cryptography. Cryptography is the study of how to change information from a normal (understandable) state / form into an incomprehensible form. One method that can be used to secure messages or information is the Advanced Encryption Standard (AES). AES is a part of symmetry cryptography. The application of AES cryptographic algorithms in securing data at government agencies can produce encryption that cannot be understood by humans and produce decryption that is exactly the same as the initial plaintext inputted, so that important government data can be secured in such a way. This research will produce a program that can encrypt and decrypt data using the AES (Advanced Encryption Standard) algorithm which will be used to secure data at Government Agencies.
Cryptographic Symmetry Analysis with AES Algorithm for Safeguarding Data at Government Agencies Muhammad Rizal; Elviawaty Muisa Zamzami; Muhammad Zarlis
IJISTECH (International Journal of Information System and Technology) Vol 3, No 1 (2019): November
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (764.476 KB) | DOI: 10.30645/ijistech.v3i1.42

Abstract

Data is very confidential information because it contains important information about the company or agency. Therefore it is necessary to secure these important data, in order to avoid misuse, theft of information or manipulation by certain parties who are not responsible. To avoid theft and manipulation of data it is necessary to implement a computer-based security system. One of them is by using cryptography. Cryptography is the study of how to change information from a normal (understandable) state / form into an incomprehensible form. One method that can be used to secure messages or information is the Advanced Encryption Standard (AES). AES is a part of symmetry cryptography. The application of AES cryptographic algorithms in securing data at government agencies can produce encryption that cannot be understood by humans and produce decryption that is exactly the same as the initial plaintext inputted, so that important government data can be secured in such a way. This research will produce a program that can encrypt and decrypt data using the AES (Advanced Encryption Standard) algorithm which will be used to secure data at Government Agencies.
Implementation of ANN with the Cyclical Order Method For Forecasting the Life Span of the World’s Population Muhammad Rizal; Elviawaty Muisa Zamzami
IJISTECH (International Journal of Information System and Technology) Vol 3, No 1 (2019): November
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (748.597 KB) | DOI: 10.30645/ijistech.v3i1.41

Abstract

This study aims to predict the age (life expectancy) of the world's population. This research is the development of research that has been done before. But in this study only to get the best architectural model to predict the age (life expectancy) of the world's population, using the Cyclical Order method. Whereas in this follow-up research, it will produce forecasting in the form of age (life expectancy) of the population in the world based on a model that has been obtained from previous research. The research data is the age data (life expectancy) of the world's population from the United Nations: "World Population Prospect: The 2010 Revision Population Database". This study uses 5 architectural models including: 3-5-1, 3-8-1, 3-10-1, 3-5-8-1 and 3-5-10-1. Of the 5 models used, architectural models 3-5-10-1 are the best with an accuracy of 97%, the value of MSE training is 0,0009979400 and MSE testing is 0,0008358919. Forecasting results from this study are expected to be a reference for governments in the world, especially Indonesia to pay more attention to the level of health and well-being of its population so that the level of life of the population is getting better and higher.
Co-Authors Elviawaty Muisa Zamzami Muhammad Zarlis