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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
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Search results for , issue "Vol. 11 No. 2 (2022): Sep: Basic and Applied Science" : 5 Documents clear
Implementation of the waste volume clustering method at company "x" to reduce the amount of waste using the k-medoids algorithm Agung Triayudi
International Journal of Basic and Applied Science Vol. 11 No. 2 (2022): Sep: Basic and Applied Science
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/ijobas.v11i2.73

Abstract

Garbage/waste is the residue of human daily activities or comes from natural processes in solid form. Some of the causes that affect the environment are the problems of managing and disposing of waste/household waste. Company "X" is a company engaged in waste transportation services and non-hazardous waste management for business sectors such as apartments, offices, hospitals, and hotels. In this problem, there is an increase in the cubication of household waste produced by the vendor company "X" every month. Data mining is the extraction of information. Identify hidden information from large amounts of data, leverage and promote knowledge in real-time applications. Clustering is a multidimensional statistic designed to collect similar individuals into homogeneous classes based on observations in variables. The resulting classes can be set according to various structures. This study will cluster data from the volume of levies issued by the Environmental Service from 2010 to 2021 into 3 clustering categories, namely Klassam_0 for low volume of waste generated, Klassam_1 for medium volume of waste generated, and Klassam_2 for the volume of waste generated is high. From the results of this study, there were 8 on Klassam_0, 88 on Klassam_1, and 48 on Klassam_2. The volume of organic and inorganic waste is very good because of the emphasis on the waste management process that occurs in 2021, from the results of the clustering in 1 year (12 months) in 2021 8 months or clusters that are included in klassam¬_0 which can be interpreted as volume of waste "low", and 4 months or clusters included in klassam_2 which can be interpreted as "high" volume of waste.
The pattern of buddhist teachers strategies management for religious behavior conflicts in Lombok I Ketut Damana
International Journal of Basic and Applied Science Vol. 11 No. 2 (2022): Sep: Basic and Applied Science
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/ijobas.v11i1.87

Abstract

The Buddhist teacher's goal of conflict is of course required to use a psychological approach. The less than ideal conditions of the teacher's purposeful behavior in the managed lesson process are not opposite. The importance of the strategy of religious teachers tends to be seen in the character education of the attendees. Descriptive qualitative research method is used on this research. The research instruments were interviews, observations, documentation, and respondents with several related devices. In reality, not all Buddhist teachers deliver material with curriculum. This has an impact on improving the continuity of education, i.e. there are students who are not taught Buddhism. Data analysis is using Iceberg model. The results of the study can be concluded as; the innovation process occurs from the conflict of teacher behavior, the implementation of the innovation pattern of the teacher's strategy, the structure of the advantages and disadvantages of teacher management and the mental model of teacher behavior.
Classification of marine mammals based on nucleotide using machine earning Lukman; Tiara Dinda Hapsari; Abdul Malik; Ester Frescilla Simbolon; Ishak Ariawan; Nadia Yusuf Istiqomah
International Journal of Basic and Applied Science Vol. 11 No. 2 (2022): Sep: Basic and Applied Science
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/ijobas.v11i1.90

Abstract

This study analyzing the nucleotide of marine mammals using machine learning techniques. Analysis on a nucleotide scale in marine mammals can help facilitate the identification process if done properly. Three types of marine mammals used for nucleotide analysis were Delphinus capensis, Dugong dugon, and Orcaella brevirostris. The solutions offered by machine learning provide a more elegant and effective solution for species identification at the nucleotide scale. This study analyzed the nucleotide s of marine mammals using various classification techniques. Based on this research, it can be concluded that the identification of marine mammals can be done easily based on nucleotide. Different classifiers have been used for analytical purposes such as Random Forest, Decision Tree, Naïve Bayes, K-Nearest Neighbor, and Multilayer Perceptron. Based on the analysis of the results, it was found that the classification method that had been applied had sufficient performance by being tested on several model performance metrics such as accuracy, precision, recall and f1 score. The study also highlights the best classifiers in the various scenarios and recommendations are given.
Forecasting of jansen's rice inventory control using monte carlo and markov chain techniques Hasni Indah Sari; Sajaratud Dur; Hendra Cipta
International Journal of Basic and Applied Science Vol. 11 No. 2 (2022): Sep: Basic and Applied Science
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/ijobas.v11i2.99

Abstract

Rice is an essential commodity in Indonesia because of its role as a staple food, which most Indonesians consume daily as a carbohydrate intake. In its development to meet these needs, many things affect the stability of the availability and price of this rice. They are starting from climatic conditions, logistics systems, and the state of the domestic market and the international rice market. On the other hand, the increase in national rice consumption from year to year will continue to grow along with the rise in population. This research aims to apply the Monte Carlo and Markov Chain method to control Jansen rice supplies at the Jansen Rice Mill, Paluh Wave Street, Percut Sei Tuan District, Deli Serdang Regency, North Sumatra Province. The data used is data on rice demand from 2016 to 2021. Monte Carlo forecasts for the next few years, and Markov Chain provides what percentage of opportunities for rice demand to increase or decrease.
Flavonoid content analysis of Brebes red 0nion skin waste flour as a low-cholesterol duck fodder mixture Yan El Rizal Unzilatirrizqi; Syahidah Mutmainah; Akh Khotib Kurniawan
International Journal of Basic and Applied Science Vol. 11 No. 2 (2022): Sep: Basic and Applied Science
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/ijobas.v11i1.104

Abstract

Brebes is one of the district regency in Central Java province which is famous for the production of red onions and salted eggs. This affects the percentage of onion waste produced and the need for duck fodder which is always increasing in price. The aim of this research is to make flour from raw material of red onion skin as a mixture of duck fodder. The research was done experimentally by testing the flavonoid content in red onion skin, making red onion skin flour, and testing the flavonoid content of red onion skin flour. The results showed that the flavonoid content of red onion skin was 3.54% and the flavonoid content of red onion skin flour was 4.35%. So, it can be concluded that red onion skin flour is suitable for mixed with duck fodder to get low-cholesterol duck.

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