International Journal of Applied Research and Sustainable Sciences (IJARSS)
International Journal of Applied Research and Sustainable Sciences (IJARSS) is an international journal published online monthly by the Multitech Publisher. The journal publishes research papers in the fields of social science, natural science, art, humanities, law, health sciences, technology, and related sciences.
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<![CDATA[Factors Affecting the Research Productivity of Lecturers at the Muhammadiyah Selong Institute of Social and Health Technology ]]>
<![CDATA[Yuniarti, Ratna]]>;
<![CDATA[Bahri, Salmi Yuniar]]>;
<![CDATA[Affandy, Yuniar]]>
<![CDATA[ International Journal of Applied Research and Sustainable Sciences Vol. 2 No. 6 (2024): June 2024 ]]>
Publisher : <![CDATA[MultiTech Publisher ]]>
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DOI: 10.59890/ijarss.v2i6.1935
<![CDATA[This research is a qualitative analysis of lecturers' research productivity. This productivity is viewed from law about teachers and lecturers and Republic of Indonesia Government Regulations about lecturers. Especially the research areas in the rubric (PO BKD)which is monograph or reference book, producing work published in international journals and national journals. Meanwhile, the factors that influence productivity observed are Institutional Support, Digital Literacy, Rewards, Sanctions, and Competence. The subjects in this research were 14 ITSKes Muhammadiyah Selong lecturers from all study programs. Data collection was carried out by interviews and distributing perception questionnaires. The results of this research show that the productivity level of lecturers who have high academic positions are more productive in support. Then institutions and digital literacy skills have a big influence on lecturer productivity, while rewards and sanctions are quite influential.]]>
<![CDATA[Effect of Salinity Variation on Survival of Pearl Oyster Spawn (Pinctada maxima) ]]>
<![CDATA[Padalegi, Maria]]>;
<![CDATA[Tjendanawangi, Agnette]]>;
<![CDATA[Suleman]]>
<![CDATA[ International Journal of Applied Research and Sustainable Sciences Vol. 2 No. 6 (2024): June 2024 ]]>
Publisher : <![CDATA[MultiTech Publisher ]]>
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DOI: 10.59890/ijarss.v2i6.1956
<![CDATA[Pearl oysters (Pinctada maxima) are a high-value fishery commodity with significant development prospects, due to increasing demand and selling value in domestic and international markets. One of the challenges in pearl oyster cultivation is determining the optimal salinity to improve spat (seed) survival. This study aims to evaluate the effect of various salinity levels on the survival of Pinctada maxima spat and determine the optimal salinity. The study used a completely randomized design (CRD) with four salinity treatments: 35 ppt, 30 ppt, 25 ppt, and 20 ppt, each with three replicates. Results showed that the highest survival rate was found at 35 ppt (63%) and 30 ppt (23%) salinity, while the lowest survival rate was at 25 ppt (7%) and 20 ppt (1%) salinity. Salinity of 35 ppt gave the best results for survival and weight growth of pearl oyster spat, followed by salinity of 30 ppt. These findings have important implications for the development of more effective and efficient culture methods to improve pearl production and quality.]]>
<![CDATA[Red Palm Oil from Crude Palm Oil Refinement Using The Acid Degumming Method ]]>
<![CDATA[Saputra, Hendra]]>;
<![CDATA[Rantawi, Azhar Basyri]]>;
<![CDATA[Siregar, Ahdiat Leksi]]>;
<![CDATA[Rahardja, Istianto Budhi]]>;
<![CDATA[Simatupang, Dimas Frananta]]>
<![CDATA[ International Journal of Applied Research and Sustainable Sciences Vol. 2 No. 6 (2024): June 2024 ]]>
Publisher : <![CDATA[MultiTech Publisher ]]>
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DOI: 10.59890/ijarss.v2i6.1957
<![CDATA[Red Palm Oil (RPO) is the result of refining Crude Palm Oil (CPO). In further processing to obtain cooking oil, several processes are undergone to produce a clear oil, which is very different from its original product, CPO. RPO is rich in beta-carotene and its refining process does not include bleaching. The production of RPO utilizes the acid degumming method with different acid variations, namely phosphoric and sulfuric acid, with varying concentrations of 0.05% and 0.075%. The results showed that the average percentage of RPO produced reaches 44.05%. Furthermore, the quality analysis of RPO also meets the SNI-3741-1995 standards (quality standard of cooking oil), with the average of free fatty acid value of 1.41% (max 3%), peroxide value of 1.04 mg oxygen/100 g (max 1.6 mg oxygen/100 g), and moisture value of 0.04% (max 0.3%).]]>
<![CDATA[Improving Employee Retention Through Prediction and Risk Management Using Machine Learning ]]>
<![CDATA[Pratama, Galang Rintang Widya]]>;
<![CDATA[Fatchan, Muhamad]]>;
<![CDATA[Hadikristanto, Wahyu]]>
<![CDATA[ International Journal of Applied Research and Sustainable Sciences Vol. 2 No. 6 (2024): June 2024 ]]>
Publisher : <![CDATA[MultiTech Publisher ]]>
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DOI: 10.59890/ijarss.v2i6.1960
<![CDATA[This research investigates the effectiveness of two machine learning models (Logistic Regression and Random Forest) in predicting employee turnover. This research uses IBM HR Analytics employee attrition and performance dataset and performance dataset from Kaggle and implements nested ensemble models in Google Colab. After data pre-processing steps such as feature merging, generation, engineering, cleaning, coding, and normalisation, the data is divided into training and testing sets. The models were trained and evaluated based on their accuracy. The results of averaging the three departments showed that the Random Forest model achieved the highest accuracy (97.7%) compared to Logistic Regression (94.6%). Therefore, this study shows that Logistic Regression is the most suitable model to predict employee turnover in the given dataset.]]>
<![CDATA[Comparison of Defective Casting Product Classification Results Using the K-Nearest Neighbors Algorithm ]]>
<![CDATA[Alfarizi, Muhammad Farhan]]>;
<![CDATA[Fatchan, Muhamad]]>;
<![CDATA[Hadikristanto, Wahyu]]>
<![CDATA[ International Journal of Applied Research and Sustainable Sciences Vol. 2 No. 6 (2024): June 2024 ]]>
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DOI: 10.59890/ijarss.v2i6.1968
<![CDATA[This study compares the accuracy of K-Nearest Neighbors (KNN) and Naive Bayes algorithms in detecting defects in impeller products. Using a dataset of impeller images, we applied preprocessing, feature extraction, and selection techniques. The models were assessed using metrics such as precision, accuracy, F1-score, recall. and with KNN achieving 98.11% accuracy and Naive Bayes 85.38%. The t-SNE visualization confirmed distinct clustering of defective and non-defective products. Our findings suggest that KNN is more reliable for defect detection in industrial applications. These results provide valuable insights for implementing effective machine learning models in manufacturing quality control.]]>
<![CDATA[Transforming Supply Chain Forecasting Using Transformer Models and K-NN Analysis ]]>
<![CDATA[Faris Muzaki, Moch. Nauval]]>;
<![CDATA[Fatchan, Muhamad]]>;
<![CDATA[Afriantoro, Irfan]]>
<![CDATA[ International Journal of Applied Research and Sustainable Sciences Vol. 2 No. 6 (2024): June 2024 ]]>
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DOI: 10.59890/ijarss.v2i6.2026
<![CDATA[The study optimizes supply chain logistics in Asia using the K-Nearest Neighbors (K-NN) algorithm to enhance delivery efficiency and profitability. It suggests that future research should explore ensemble methods and deep learning models for better accuracy and robustness. Comparative analyses with traditional models provide valuable insights. Investigating the impact of real-time data analytics and IoT can improve visibility and control. Big data analytics for predictive models in risk management and resilience against disruptions like natural disasters and geopolitical instability is crucial. Exploring collaborative networks where stakeholders share data and resources can significantly advance logistics efficiency. These directions will help develop efficient, resilient, and sustainable supply chain systems, offering practical solutions for businesses in Asia's complex market.]]>
<![CDATA[Inclusion of Persons with Disabilities (Pwds) into the Mainstream Labor Force in the Province of Camarines Norte ]]>
<![CDATA[Asay, Malyn Manalo]]>;
<![CDATA[Asay, Angeles M.]]>
<![CDATA[ International Journal of Applied Research and Sustainable Sciences Vol. 2 No. 6 (2024): June 2024 ]]>
Publisher : <![CDATA[MultiTech Publisher ]]>
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DOI: 10.59890/ijarss.v2i6.2047
<![CDATA[A study in Camarines Norte focused on integrating persons with disabilities (PWDs) into the labor force. It aimed to understand their demographics, required skills, and inclusion challenges. This study used descriptive methods in interviews and questionnaires and quota sampling in selecting the respondents totaling 375 respondents, the study found that most PWDs were male, single, with orthopedic disabilities, and high school graduates. They were predominantly non-permanent and self-employed. Recommendations include dedicated job fairs, start-up funds, and reserved employment quotas in both public and private sectors. The results concludes that the Provincial Government and relevant agencies are urged to enhance job opportunities, provide skills training, and enforce existing employment quotas for PWDs. Overall, PWDs are seen as committed assets to companies]]>
<![CDATA[The Effect of Implementing the Problem Based Learning Model on the Motivation and Learning Outcomes of Class XI TKRO Students in the Light Vehicle Engine Maintenance Subject at SMK Negeri 1 Pangaribuan ]]>
<![CDATA[Pakpahan, Dandri Natanael]]>;
<![CDATA[Siregar, Riski Elpari]]>
<![CDATA[ International Journal of Applied Research and Sustainable Sciences Vol. 2 No. 6 (2024): June 2024 ]]>
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DOI: 10.59890/ijarss.v2i6.2079
<![CDATA[This research aims to determine the effect of applying the problem-based learning (PBL) learning model on student motivation and learning outcomes in light vehicle engine maintenance subjects. This type of research is quasi-experimental, with the research design used being a pretest-posttest control group design. The research results showed that in the experimental class, it was obtained pretest 48.12 and initial motivation 47.63%, posttest experimental class obtained 76.8 and final motivation. 6%, while in the control class obtained pretest 47.15 and initial motivation 45.78%, posttest obtained 70.06 and final motivation 59.6%, so it was concluded that there was a positive influence of the application of the problem-based learning model on student motivation and learning outcomes.]]>
<![CDATA[The Influence of Organizational Culture and Financial Literacy on Entrepreneurial Intentions in Women's Organizations Through Entrepreneurial Motivation as an Intervening Variable (Case Study: Fatayat NU DKI Jakarta) ]]>
<![CDATA[Maesaroh, Siti]]>;
<![CDATA[Widyastuti, Umi]]>;
<![CDATA[Wolor, Christian Wiradendi]]>
<![CDATA[ International Journal of Applied Research and Sustainable Sciences Vol. 2 No. 6 (2024): June 2024 ]]>
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DOI: 10.59890/ijarss.v2i6.2113
<![CDATA[Entrepreneurship is a crucial element in the economy that drives innovation, creates job opportunities, and enhances societal well-being. In the context of women's organizations, particularly in Indonesia, developing entrepreneurial intentions and motivations is strategically important. Fatayat Nahdlatul Ulama (Fatayat NU), as one of the largest women's organizations in Indonesia, plays a significant role in encouraging its members to engage in entrepreneurship. This research aims to analyze the influence of organizational culture and financial literacy on entrepreneurial intentions among female organization members, with entrepreneurial motivation as an intervening variable. The research methodology employed Structural Equation Modeling (SEM) using the AMOS software. Data were collected through questionnaires distributed to 332 Fatayat NU members in DKI Jakarta. The results indicate that organizational culture significantly and positively influences entrepreneurial motivation, and financial literacy also has a positive and significant impact on entrepreneurial motivation. Organizational culture significantly and positively affects entrepreneurial intentions, while financial literacy also significantly and positively influences entrepreneurial intentions. Moreover, entrepreneurial motivation proves to be a significant intervening variable in the relationship between organizational culture and financial literacy with entrepreneurial intentions.]]>
<![CDATA[Impact of Safe School Initiative Programme on Academic Achievement of Victims of Insurgency in Secondary Schools in North - East Nigeria ]]>
<![CDATA[Chinwuba, Mary Adanna]]>;
<![CDATA[V.O Adikwu]]>;
<![CDATA[Usman, Matthew B.]]>
<![CDATA[ International Journal of Applied Research and Sustainable Sciences Vol. 2 No. 6 (2024): June 2024 ]]>
Publisher : <![CDATA[MultiTech Publisher ]]>
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DOI: 10.59890/ijarss.v2i6.2135
<![CDATA[Purpose: The purpose of this study was to investigate the Impact of the Safe Schools Initiative programme on the academic achievement of victims of insurgency in Secondary Schools in North-east, Nigeria. Method: This study adopted a descriptive and Ex-post facto survey design. A sample size of 365 male and female SS1 respondents were sampled for the study. The instrument that was used for this study was a self-structured questionnaire developed by the researcher titled Impact of Safe Schools Initiative programme on behaviours and academic achievement questionnaire (ISSIPBAC). The content validity of the questionnaire was done by lecturers from the university of Abuja and the two data from the pilot test was obtained and correlated using Pearson Product Moment Correlation Coefficient (r), to see the similarities or differences of the scores. A reliability Coefficient of 0.87 was obtained. Thus, the instrument was reliable for the study. Descriptive and inferential statistics were employed in data analysis, through Statistical Package for Social Science (SPSS version 25) was used to carry out the analysis of the research data. Findings: The findings revealed that the difference in the academic achievement of students under the Safe Schools Initiative programme in Secondary Schools in North East, Nigeria was more for male respondents than female respondents. The study also showed that the behaviour of students under the programme in Secondary Schools in North East, Nigeria was better in rural respondents than the urban centres. The result indicated that the academic achievement of the students varied as the age increased and the academic achievement of students under the Safe Schools Initiative programme in Secondary Schools in North East, Nigeria was more on urban respondents than the rural centres. Recommendations: Based on the findings, the paper hereby recommends that the age of these students should be considered in teaching. While students of lower ages were more affected by the insurgency in their academic achievement, others such as 16 years and above were less affected. The school counsellors should organize regular psychological checks on these students to make sure they have stable behavioural patterns.]]>
