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International Journal of Basic and Applied Science
Published by Institute of Computer Science
ISSN : 23018038     EISSN : 27763013     DOI : https://doi.org/10.35335/ijobas
Core Subject : Science, Engineering,
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Physics
International Journal of Basic and Applied Science provides an advanced forum on all aspects of applied natural sciences. It publishes reviews, research papers, and communications. Our aim is to encourage scientists to publish their experimental and theoretical results in as much detail as possible. There is no restriction on the length of the papers. The full experimental details must be provided so that the results can be reproduced. Electronic files and software regarding the full details of the calculation or experimental procedure, if unable to be published in a normal way, can be deposited as supplementary electronic material.
Arjuna Subject : Umum - Umum
Articles 5 Documents
 1 
Search results for , issue "Vol. 10 No. 2 (2021): September: Basic and Applied Science" : 5 Documents clear
Development of A Base Learning Project Model With Online Media In An Effort to Increase Learning Activities During the COVID-19 Pandemic M Martiano; H Maulana
International Journal of Basic and Applied Science Vol. 10 No. 2 (2021): September: Basic and Applied Science
Publisher : Institute of Computer Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/ijobas.v10i2.52

Abstract

Decrease in learning outcomes in operating systems courses. The decline in learning outcomes is caused by the current corona virus pandemic. Which causes face-to-face lectures to be online. Researchers use project base learning to improve learning outcomes. The application consists of 2 cycles, namely Diclus 1 which is 80.12% with the number who did not pass, namely 16 students, researcher evaluating the learning process so that in cycle 2 it increased by 83.73%. With the student’s who did not pass. It can be concluded that the base learning method can be used to improve learning outcomes during the COVID-19 pandemic.
Combination of MOORA and WASPAS Methods in Selecting the Best Hafidzoh Dewi Maharani
International Journal of Basic and Applied Science Vol. 10 No. 2 (2021): September: Basic and Applied Science
Publisher : Institute of Computer Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/ijobas.v10i2.53

Abstract

The combination of the Multi-Objective Optimization method on the basis of Ratio Analysis (MOORA) and the Weight Aggregated Sum Product Assessment (WASPAS) is used by researchers in selecting the best hafidzoh so as to produce effective and efficient research objectives and make it easier for leaders to determine the best hafidzoh. Choosing the best hafidzoh is not an easy matter due to the large number of students and the large number of criteria given. Furthermore, the best students or candidates for hafidzoh are called alternatives, while the things that are assessed are called criteria. Based on the results of interviews and references that the researchers conducted, the criteria for helping the Chairperson of the Dzunnur'ain Simalungun Institute in determining the best hafidzoh were letter makhorijul, tajwid, itqon hifzd, adabul qiroah and Arabic. Meanwhile, the best alternative or candidate for hafidzoh is the total number of students in Lambaga Dzunnur 'ain, which is 30 students. Furthermore, researchers conducted analysis and calculations based on the formula of the MOORA method and the formula of the WASPAS method. The results of the analysis and calculations are that the Moora and WASPAS methods get the same best santri, namely the alternative name Santri 7, while for the second rank the alternatives obtained are santri 16 and santri 25.
Improve The Security of The Vigenère Cypher Algorithm by Modifying the Encoding Table and Key Agung Purnomo Sidik
International Journal of Basic and Applied Science Vol. 10 No. 2 (2021): September: Basic and Applied Science
Publisher : Institute of Computer Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/ijobas.v10i2.54

Abstract

This investigation was conducted to move forward the security of the vigenère cypher calculation by tending to the key conveyance issue and the most key issue within the calculation if cryptoanalysts effectively got it. The working demonstrates employments a 512-bit Electronic Code Book (ECB). The essential key utilized was a 512-bit arbitrary key. The randomized encoding table was also generated by the Blum Blum Shub calculation employing a scrambler key. The RSA calculation was utilized to scramble 512-bits random keys and scrambler keys. It comes about to appear that the proposed calculation does not include a key dissemination issue. With a randomized encoding table, the 512-bits arbitrary key cannot be utilized to unscramble the ciphertext off chance that cryptanalysis did not know the mixed table utilized. The preparing time appeared the proportion of the contrast of the vigenère cypher calculation. The proposed calculation was not as well essentially distinctive, and the longer the message was handled, the proportion of the time distinction possessed was moreover getting closer to one, which implies the distinction was not critical. The coming about ciphertext was too exceptionally secure, where the coming about ciphertext was irregular since the key utilized was random, and there were 3.75 x 10126 keys combination. This algorithm can be an alternative algorithm that is fast, safe, and easy to implement
Application Of K-Means Clustering Algorithm On Population Growth In Simalungun Regency Murniati Rambe; M. Safii; Irawan Irawan
International Journal of Basic and Applied Science Vol. 10 No. 2 (2021): September: Basic and Applied Science
Publisher : Institute of Computer Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/ijobas.v10i2.55

Abstract

Population growth is a condition when the population increases from previous years. Population growth has several variables, namely birth, death and migration rates. Positive population growth indicates an increase in population and vice versa. Population growth is caused by a high birth rate with a decrease in the death rate. The high rate of population growth and occurs in a fast period of time is what triggers a population explosion which is closely related to an increase in poverty, unemployment, crime, slum settlements, hunger and other social problems. An increase in the poverty rate occurs when high population growth is not matched by good economic growth accompanied by equitable distribution of income. An increase in unemployment occurs if the increase in population with reduced availability of adequate employment can lead to an increase in criminal cases. By knowing these problems, Data Mining is needed to classify aid receipts, build jobs. by using the K-Means method in clustering the population growth rate. The K-Means method can assist the Government in making decisions and the information needed to solve the problem of population growth and record all densely populated areas in an appropriate way.
A Oil Palm Harvest Grouping Using K-Medoids Algorithm Dessy Dwi Angraini; M. Safii; Fitri Anggraini
International Journal of Basic and Applied Science Vol. 10 No. 2 (2021): September: Basic and Applied Science
Publisher : Institute of Computer Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/ijobas.v10i2.56

Abstract

Oil palm (Elaies Guinnnsiss Jacq) is one of the important industrial crops producing cooking oil, industrial oil, and fuel. Indonesia is the largest palm oil producer in the world. The rest of the processing of oil palm fruit is called janjang. Janjang also serves to be used as compost. The data that is processed in this research is the harvest data at PT. Surya Intisariraya Mandau. Data mining is the process of looking for patterns or information in selected data using certain techniques or methods. The processing steps are grouped using the K-Medoids method and then the data will be processed using RapidMiner tools. Where this grouping is done to minimize the amount of similarity of data and appropriate so that it becomes more valid data. This study aims to simplify the grouping of harvest data based on high, medium and low clusters.

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