cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Nia D Simanjuntak
Contact Email
admin@multitechpublisher.com
Phone
+6285359562521
Journal Mail Official
admin@multitechpublisher.com
Editorial Address
Jl. Veteran Gg Cahaya No 103, Berastagi
Location
Kab. karo,
Sumatera utara
INDONESIA
International Journal of Applied Research and Sustainable Sciences (IJARSS)
Published by MULTITECH PUBLISHER
ISSN : -     EISSN : 30260205     DOI : https://doi.org/10.59890/ijarss.v1i2
Core Subject : Religion, Humanities, Science, Education, Engineering,
Religion Humanities Chemical Engineering, Chemistry & Bioengineering Decision Sciences, Operations Research & Management Education
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.
Arjuna Subject : Umum - Umum
Articles 102 Documents
 5   6   7   8   9 
The Effect of Third Party Funds and Assets on Profits at PT. Riau Kepri Syariah Regional Development Bank Hapsila, Angga; Astarina, Ivalaina; Remofa, Yudha; Supriyadi, Agus
International Journal of Applied Research and Sustainable Sciences Vol. 2 No. 5 (2024): May 2024
Publisher : MultiTech Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59890/ijarss.v2i5.1948

Abstract

The research was conducted to see the effect of tThe research was conducted to see the effect of third party funds and assets on profits at PT. Riau Regional Development Bank Kepri Syariah. The data in this study used secondary data from 2009 to 202, through a quantitative approach. Researchers utilize SPSS version 24 in managing data. The results showed that third-party funds partially had no effect on profits and assets partially affected profits. The results of research on third-party funds and assets simultaneously affect profits. Keywords: Profit, Third Party Funds and Assetshird party funds and assets on profits at PT. Riau Regional Development Bank Kepri Syariah. The data in this study used secondary data from 2009 to 202, through a quantitative approach. Researchers utilize SPSS version 24 in managing data. The results showed that third-party funds partially had no effect on profits and assets partially affected profits. The results of research on third-party funds and assets simultaneously affect profits. Keywords: Profit, Third Party Funds and Assets
Effect of Salinity Variation on Survival of Pearl Oyster Spawn (Pinctada maxima) Padalegi, Maria; Tjendanawangi, Agnette; Suleman
International Journal of Applied Research and Sustainable Sciences Vol. 2 No. 6 (2024): June 2024
Publisher : MultiTech Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59890/ijarss.v2i6.1956

Abstract

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.
Red Palm Oil from Crude Palm Oil Refinement Using The Acid Degumming Method Saputra, Hendra; Rantawi, Azhar Basyri; Siregar, Ahdiat Leksi; Rahardja, Istianto Budhi; Simatupang, Dimas Frananta
International Journal of Applied Research and Sustainable Sciences Vol. 2 No. 6 (2024): June 2024
Publisher : MultiTech Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59890/ijarss.v2i6.1957

Abstract

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%).
Improving Employee Retention Through Prediction and Risk Management Using Machine Learning Pratama, Galang Rintang Widya; Fatchan, Muhamad; Hadikristanto, Wahyu
International Journal of Applied Research and Sustainable Sciences Vol. 2 No. 6 (2024): June 2024
Publisher : MultiTech Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59890/ijarss.v2i6.1960

Abstract

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.
Comparison of Defective Casting Product Classification Results Using the K-Nearest Neighbors Algorithm Alfarizi, Muhammad Farhan; Fatchan, Muhamad; Hadikristanto, Wahyu
International Journal of Applied Research and Sustainable Sciences Vol. 2 No. 6 (2024): June 2024
Publisher : MultiTech Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59890/ijarss.v2i6.1968

Abstract

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.
Transforming Supply Chain Forecasting Using Transformer Models and K-NN Analysis Faris Muzaki, Moch. Nauval; Fatchan, Muhamad; Afriantoro, Irfan
International Journal of Applied Research and Sustainable Sciences Vol. 2 No. 6 (2024): June 2024
Publisher : MultiTech Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59890/ijarss.v2i6.2026

Abstract

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.
Inclusion of Persons with Disabilities (Pwds) into the Mainstream Labor Force in the Province of Camarines Norte Asay, Malyn Manalo; Asay, Angeles M.
International Journal of Applied Research and Sustainable Sciences Vol. 2 No. 6 (2024): June 2024
Publisher : MultiTech Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59890/ijarss.v2i6.2047

Abstract

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
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 Pakpahan, Dandri Natanael; Siregar, Riski Elpari
International Journal of Applied Research and Sustainable Sciences Vol. 2 No. 6 (2024): June 2024
Publisher : MultiTech Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59890/ijarss.v2i6.2079

Abstract

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.
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) Maesaroh, Siti; Widyastuti, Umi; Wolor, Christian Wiradendi
International Journal of Applied Research and Sustainable Sciences Vol. 2 No. 6 (2024): June 2024
Publisher : MultiTech Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59890/ijarss.v2i6.2113

Abstract

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.
Qatar's Role in Promoting International Peace through Interfaith Dialogue: A Case Study of the Doha International Center for Interfaith Dialogue Hazaymeh, Omar
International Journal of Applied Research and Sustainable Sciences Vol. 2 No. 7 (2024): July 2024
Publisher : MultiTech Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59890/ijarss.v2i7.2124

Abstract

This paper explores the significant role of Qatar in promoting international peace and conflict resolution through its dedicated efforts in fostering interfaith dialogue, with a focus on the Doha International Center for Interfaith Dialogue (DICID). Qatar's diplomatic strategy emphasizes the importance of dialogue and negotiation, positioning the nation as a neutral mediator in global conflicts. The DICID, established in 2007, exemplifies Qatar's commitment to building mutual understanding and respect among diverse religious communities.  Through its wide range of activities, including international conferences, workshops, community outreach, youth engagement, educational programs, and cultural exchanges, DICID has made substantial contributions to fostering interfaith dialogue. The center's efforts have had a significant impact on promoting mutual understanding, influencing policies, supporting conflict resolution, and shaping global discourses on religious tolerance. By building networks and partnerships, DICID enhances social cohesion and stability, promoting a culture of peace that transcends religious and cultural boundaries. The paper highlights how DICID's initiatives align with Qatar's broader diplomatic goals and examines the tangible outcomes of these efforts in fostering global peace. It underscores the importance of interfaith dialogue as a critical tool for conflict resolution and emphasizes Qatar's pivotal role in promoting a more peaceful and inclusive world. Through this analysis, the paper contributes to a deeper understanding of the vital role that interfaith dialogue plays in international diplomacy and peace-building.

Page 7 of 11 | Total Record : 102

 5   6   7   8   9 

Filter by Year

2023 2024


Reset
Filter By Issues
All Issue Vol. 2 No. 12 (2024): December 2024 Vol. 2 No. 10 (2024): October 2024 Vol. 2 No. 9 (2024): September 2024 Vol. 2 No. 8 (2024): August 2024 Vol. 2 No. 7 (2024): July 2024 Vol. 2 No. 6 (2024): June 2024 Vol. 2 No. 5 (2024): May 2024 Vol. 2 No. 4 (2024): April 2024 Vol. 2 No. 3 (2024): March 2024 Vol. 2 No. 2 (2024): February 2024 Vol. 2 No. 1 (2024): January 2024 Vol. 1 No. 4 (2023): December 2023 Vol. 1 No. 3 (2023): November 2023 Vol. 1 No. 2 (2023): October 2023 Vol. 1 No. 1 (2023): September 2023 More Issue