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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 119 Documents
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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.
Application Of Naive Bayes Algorithm In Classification Of Child Nutrition At The Simalungun Health Office Susi Septi Hardiani; M. Safii; Dedi Suhendro
International Journal of Basic and Applied Science Vol. 10 No. 3 (2021): December: Basic and Applied Science
Publisher : Institute of Computer Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/ijobas.v10i3.57

Abstract

Toddlers are among the most vulnerable groups to nutritional problems when viewed from the point of view of health and nutrition problems, while at this time they are experiencing a cycle of relatively rapid growth and development. .7% is quite high where the number of births is relatively large. Researchers try to classify 10 toddlers using WEKA to find out whether they have nutritional disorders or are normal by using 5 attributes as system input and a class namely nutrition which divides this class into 4 namely bad, less, good and more with the amount of training data 219 data then data compared with the actual nutritional conditions and obtained an accuracy of 60% and an error of 40% with these results it can be concluded that the accuracy is not too good. Based on this, it is hoped that the results of this classification can help further research in classifying the nutrition of children under five.
Comparison of Performance Rot13 and Caesar Cipher Method for Registration Database of Vessels Berthed at P.T. Samudera Indonesia Risman Risman
International Journal of Basic and Applied Science Vol. 10 No. 3 (2021): December: Basic and Applied Science
Publisher : Institute of Computer Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/ijobas.v10i3.61

Abstract

Database security is a very important aspect of an information system. A general information is onlyintended for certain groups. Therefore, it is very important for a company to prevent database leakage sothat the information contained in it does not fall to unauthorized people. Cryptographic technique is an alternative solution that can be used in database security. One way to maintain the security of the database is to use encryption techniques. The method used to secure the database is encryption using the ROTI3 and Caesar Cipher methods. Both of these methods have advantages in processing speed. For thisreason, the author will compare the use of the two algorithms above in terms of the encryption and decryption process time
Decision Support System for Employee Performance Using AHP Method (Case Study: PT. Andhy Putra) Bedizatulo Laia; Bosker Sinaga
International Journal of Basic and Applied Science Vol. 10 No. 3 (2021): December: Basic and Applied Science
Publisher : Institute of Computer Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/ijobas.v10i3.33

Abstract

The system supports the company's performance appraisal using the AHP (Case Study: PT. Andhy Putra) method, one of which is to find, select, assess and determine the best employees every year to match the abilities and assessment criteria applied so far. PT. Andhy Putra while assessing employee performance, especially in CME and OSP, still experiences shortcomings and weaknesses in determining qualified employees. This employee performance system has problems in assessing the performance appraisal data that is less accurate, which is carried out on a paper-based basis and requires less efficient time and large costs. For that, we need a decision support system in helping PT. Andhy Putra to conduct a performance appraisal every year. The method used in this employee assessment is AHP (Analytical Hierarchy Process), which is often also known as the weighting method. The process hierarchy analytical method is one of the methods used to find weight values ​​based on existing criteria and helps facilitate the ranking of alternatives based on the distance between the positive ideal solution and the negative ideal solution. There are 5 (five) criteria as a tool to assess employee performance, namely commitment to the company, desire for achievement, cooperation, leadership and discipline accompanied by the results of the implementation of this process hierarchy method in the form of ranking the alternatives used. This decision support system is built using the PHP programming language and MySQL database
Application of Data Mining in Determining Social Assistance Recipients With C4.5 Algorithm in Maligas Mountain District Rika Nur Adiha; Sundari Retno Andani; Widodo Saputra
International Journal of Basic and Applied Science Vol. 10 No. 3 (2021): December: Basic and Applied Science
Publisher : Institute of Computer Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/ijobas.v10i3.59

Abstract

The Gunung Maligas District Office is a government agency tasked with running a government program, namely the Social Assistance Receipt program, to run the social assistance program, many residents complain that they do not receive assistance, while some residents who are considered capable actually get assistance, where each aid program is have different criteria in determining the recipient. Due to the large number of existing aid programs with different criteria in determining the acceptance of the aid program, of course, local government staff will have difficulty in conducting the selection process. So we need a system that is able to help local government staff to more easily determine the recipients of the social assistance. Based on the historical data of beneficiaries, recommendations for the classification of beneficiaries can be made that will assist government staff. Classification can be done using the C4.5 algorithm. In this study, it has parameters, namely, occupation, income, housing conditions and number of dependents. By applying the C4.5 data mining algorithm, it is hoped that it will make it easier and faster for government staff to determine the recipients of social assistance at the Gunung Maligas District Office.
The Effect Of Family Characteristics And Parenting Patterns On The Nutritional Status Of Toddlers In Sigumpar Village, Sigumpar District, Toba Regency In 2020 Munarni Munarni
International Journal of Basic and Applied Science Vol. 10 No. 3 (2021): December: Basic and Applied Science
Publisher : Institute of Computer Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/ijobas.v10i3.60

Abstract

Toddler age 12-59 months is a period when children really need nutrients in sufficient and balanced amounts. Lack of nutrients at this time can cause growth disorders. At this time too, the child is still completely dependent on the care and nurturing by his mother and family characteristics. The purpose of this study was to analyze the effect of family characteristics and parenting patterns on the nutritional status of children under five in Sigumpar Village, Sigumpar District. This type of research is a survey with the type of explanatory research. The population is all mothers who have children under five totaling 52 people. The collection of data on family characteristics, eating patterns using interviews guided by questionnaires and health parenting patterns using interviews guided by questionnaires. The nutritional status of children under five is based on the BB/TB index. Data analysis used multiple logistic regression test at a significance level of 95%. The results showed that the nutritional status of children under five (1-5 years old) based on the BW/TB index was normal (40.4%) and overweight (fat) 59.6%. Family characteristics consisting of knowledge of mothers in the good category 65.4%, higher education 75.0%, family income > 1,200,000 (100%), working mothers (59.6%), eating patterns applied by mothers to children good toddler 55.8%. Likewise, the health pattern of children under five is good 61.5%. There is an effect of parenting (eating and health) on the nutritional status of children under five.

Page 5 of 12 | Total Record : 119

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