International Journal of Sustainable Applied Sciences (IJSAS)
International Journal of Sustainable Applied Sciences (IJSAS) is an open-access, peer-reviewed and refereed international journal published by MultiTech Publisher. The main objective of IJSAS is to provide an intellectual and collaborative platform for international scholars. IJSAS aims to promote interdisciplinary studies in Social science, natural science, health science, and technology and become the leading journal in science and technology. The journal publishes research papers in the fields of Social science, natural science, health science, and technology such as social sciences, economics, health sciences, Astronomy and astrophysics, Chemistry, Earth and atmospheric sciences, Physics, Biology in general, Agriculture, Biophysics and biochemistry, Botany, Environmental Science, Forestry, Genetics, Horticulture, Husbandry, Neuroscience, Zoology, Computer science, Engineering, Robotics and Automation, Materials science, Mathematics, Mechanics, Statistics, Health Care & Public Health, Nutrition and Food Science, Pharmaceutical Sciences, and so on. IJSAS publishes original research, and applied, and educational articles in all areas of science and technology. Special Issues devoted to important topics in science and technology will occasionally be published.
Articles
16 Documents
Search results for
, issue
"Vol. 2 No. 5 (2024): May 2024"
:
16 Documents
clear
<![CDATA[The Influence of Servant Leadership, Self Awareness, and Workload on Organizational Citizenship Behavior (OCB) and Employee Performance at BAPPEDA East Java Province ]]>
<![CDATA[Patria, Rio]]>;
<![CDATA[Riyadi, Slamet]]>;
<![CDATA[Sumiati]]>
<![CDATA[ International Journal of Sustainable Applied Sciences Vol. 2 No. 5 (2024): May 2024 ]]>
Publisher : <![CDATA[MultiTech Publisher ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.59890/ijsas.v2i5.1670
<![CDATA[This study aims to examine the influence of Servant Leadership, Self Awareness, Workload on Organizational Citizenship Behavior (OCB), and Employee Performance at Badan Perencanaan Pembanguna Daerah (BAPPEDA) Provinsi Jawa Timur. The research was conducted using a quantitative approach and data were collected from employees working at BAPPEDA Provinsi Jawa Timur. The collected data is analyzed using the Structural Equation Modeling (SEM) PLS method with the Smart PLS Version 4.0 software. The respondents for this study were 118 employees out of a total of 137 employees at BAPPEDA Provinsi Jawa Timur. The data collection instrument was measured using a Likert scale. The research findings indicate that Servant Leadership significantly influences OCB but does not significantly affect Employee Performance. On the other hand, Self Awareness significantly influences both OCB and Employee Performance, while Workload does not significantly affect OCB but has a significant impact on Employee Performance. Additionally, OCB significantly influences Employee Performance. These results highlight the importance of implementing Servant Leadership and fostering Self Awareness to encourage OCB, while Workload has a greater impact on employee performance. Interestingly, the implementation of servant leadership does not seem to drive employee performance at BAPPEDA Provinsi Jawa Timur, however the high level of OCB in BAPPEDA of East Java Province can enhance employee performance. Keywords: Servant Leadership, Self-Awareness, Workload, Organizational Citizenship Behavior, Employee Performance]]>
<![CDATA[Building Intellectual Staff of Science – Technology Industrialization and Modernization Promotion in Vietnam: The Case of Vinh Long Province ]]>
<![CDATA[Le Thi Hong Nhien]]>
<![CDATA[ International Journal of Sustainable Applied Sciences Vol. 2 No. 5 (2024): May 2024 ]]>
Publisher : <![CDATA[MultiTech Publisher ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.59890/ijsas.v2i5.1790
<![CDATA[In every era, intellectuals have always been the foundation of social progress, the core force of knowledge creation and dissemination. Today, along with the rapid development of science and technology, intellectuals have become a particularly important resource, creating the strength of each country in the development strategy. Accordingly, building and developing strong intellectual staff to meet the country's development requirements in the new context is a matter of both urgency and strategic importance. In Vietnam, our Party determines that building a team of intellectuals is a common responsibility of the whole political system and of the whole society, in which the Party and State play a decisive role. Thoroughly grasping the above viewpoint of the Party, in recent years, Vinh Long province has actively implemented the contents of the Party's guidelines, the State's policies and laws on building a contingent of intellectuals into practice to build a team of intellectuals in Vinh Long. In general, the work of building a team of intellectuals in general, and science-technology intellectuals in particular in Vinh Long has achieved very important results; However, besides the achieved results, there are still certain shortcomings and limitations that require further improvement of the system of regulations and policies to improve the quality of this team to meet the requirements of economic development socio-economic of the province in the coming time.]]>
<![CDATA[Josephine March’s Conflicts and Personalities Analysis in the Movie “Little Women (2019)” ]]>
<![CDATA[Nada Sa’addiyah]]>;
<![CDATA[Binti Qani’ah]]>
<![CDATA[ International Journal of Sustainable Applied Sciences Vol. 2 No. 5 (2024): May 2024 ]]>
Publisher : <![CDATA[MultiTech Publisher ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.59890/ijsas.v2i5.1798
<![CDATA[In this article, the focus was on the analysis of the conflict and personality of Josephine March the main character in the movie "Little Women (2019)" by Greta Gerwig. This research data was in the form of scenes supported by the movie script. These data were determined based on the type of conflict according to Kenney's theory (1966), then the personality type faced by the main character was analyzed based on Freud's theory (1923). The results show that there were 98 conflict data. The actions of Josephine March in both internal and external conflict demonstrated the presence of the id, ego, and superego personality types. The Id represented her fundamental desires and urges, whereas the ego served to balance these desires within the bounds of reality. The superego was a representation of the social norms and ideals that shape her conduct. She also exhibited a blend of id-ego and ego-superego behaviors, highlighting the complexity of her character as she balanced her innate impulses with the needs of reality and external expectations.]]>
<![CDATA[The Impact of Workload on the Performance of SMPN Teachers in South Blitar Regency with Compensation as a Moderation Variable ]]>
<![CDATA[Dikhy Candra Putra]]>;
<![CDATA[Bambang Septiawan]]>
<![CDATA[ International Journal of Sustainable Applied Sciences Vol. 2 No. 5 (2024): May 2024 ]]>
Publisher : <![CDATA[MultiTech Publisher ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.59890/ijsas.v2i5.1812
<![CDATA[This research brings out a purpose to determine the impact of workload on performance and compensation. In addition to teaching, teachers have additional tasks that can be a workload but it can encourage teacher competence in carrying out their duties at school. The type of research conducted by the author includes quantitative research using a Cause-and-Effect Approach. In this research, the population was all teachers at UPT SMP Negeri 1 Sutojayan, UPT SMP Negeri 1 Binangun, and UPT SMP Negeri 2 Sutojayan. The results showed that workload affects teacher performance, this is indicated by workload (X), which has a calculated t-value of 5.94 and a significance value of 0.00. Workload x Compensation (Z) has a calculated t value of 7.51 and a significance value of 0.00. In t count (7.51) > t table (1.67) and significance (0.00) < (0.05) so that H0 is rejected and Ha is accepted, this implies that compensation can moderate the workload positively and significantly to teacher performance.]]>
<![CDATA[Youth Participation as Non-State Actors in Supporting Urban Waste Management Through Student Waste Bank ]]>
<![CDATA[Fuzy Firda Zhan]]>;
<![CDATA[Hani Alfiyani]]>;
<![CDATA[Hartady, Novizar]]>
<![CDATA[ International Journal of Sustainable Applied Sciences Vol. 2 No. 5 (2024): May 2024 ]]>
Publisher : <![CDATA[MultiTech Publisher ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.59890/ijsas.v2i5.1851
<![CDATA[The Waste Bank is a banking concept by saving waste whose aim is not only to increase the incentives of the user community, but the main thing is as an effort to overcome problems related to waste management. The 3R (reduce, reuse, and recycle) culture should be implemented and become a habit for all levels of society. Because if you don't get used to it immediately, it will have an impact on more and more waste going to the Final Processing Site. One of these problems occurs in Pontianak City. The waste that enters the Batu Layang Final Processing Site reaches 285 tons per day in period I of 2022. This is triggered by the still not massive 3R culture and waste segregation using the Waste Bank. This problem is not only the responsibility of state actors but also non-state actors, one of which is the younger generation. This research was conducted to analyze the participation of youth as non-state actors to overcome waste management problems through the Student Waste Bank program. The method used in this research is descriptive with a qualitative approach. The data in this study were collected from literature studies and documentation studies. The results of this study found that efforts to preserve a sustainable environment have been pursued by the younger generation through the Student Waste Bank as carried out by students and alumni of Universitas Tanjungpura which has been synergistically initiated since 2021 until now. The recommendations from this research are for the government, academia, and institutions to work together synergistically to support the cultivation of 3R and the optimal use of the Waste Bank by the community.]]>
<![CDATA[CNN Algorithm Approach for Classification of Tomato Fruit Maturity Levels ]]>
<![CDATA[Taufik Hidayat]]>;
<![CDATA[Muhammad Fatchan]]>;
<![CDATA[Wahyu Hadikristanto]]>
<![CDATA[ International Journal of Sustainable Applied Sciences Vol. 2 No. 5 (2024): May 2024 ]]>
Publisher : <![CDATA[MultiTech Publisher ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.59890/ijsas.v2i5.1862
<![CDATA[The categorization of tomato maturity is covered in this study, which has important ramifications for the food sector and agriculture. For training efficiency, the approach uses augmentation with adjustments to rescale picture pixel values and shrink image sizes. According to the experiment's findings, accuracy increased by 93% throughout five training epochs. The training and validation graph indicates steady progress, despite the lack of significance in the improvement. Misclassifications that require correction are found during evaluation utilizing the confusion matrix. The study emphasizes that to enhance agricultural production management, flaws in the model must be filled and accuracy must be increased. The amount and diversity of photos in the dataset should be increased, as should the shooting angles and lighting conditions, and hyperparameters should be adjusted for future model performance optimization.]]>
<![CDATA[Investigating Image Histograms using CNN and Tensor Flow-Based Gender Classification ]]>
<![CDATA[Tiani Ayu Lestari]]>;
<![CDATA[Muhamad Fatchan]]>;
<![CDATA[Wahyu Hadikristanto]]>
<![CDATA[ International Journal of Sustainable Applied Sciences Vol. 2 No. 5 (2024): May 2024 ]]>
Publisher : <![CDATA[MultiTech Publisher ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.59890/ijsas.v2i5.1863
<![CDATA[This study investigates the integration of image histograms with Convolutional Neural Networks (CNNs) using TensorFlow for gender classification. The research focuses on preprocessing techniques that significantly reduce the dimensionality of image data, enhancing computational efficiency model performance. Data augmentation methods, including rotation, shifting, and flipping, were applied to diversify the training dataset. The CNN model achieved high accuracy and validation accuracy, demonstrating its robustness. The findings reveal that the preprocessing steps effectively condensed the pixel to be 151,321 while retaining critical features for classification. The study underscores the potential applications of this methodology in security, marketing, and healthcare, where accurate gender classification is essential. Future research should explore more diverse datasets, advanced model architectures, and enhanced feature extraction methods to further improve performance. This research contributes to the field by offering a comprehensive approach to efficient and accurate gender classification, supported by robust data augmentation and preprocessing techniques.]]>
<![CDATA[Valuation K-Nearest Neighbors and Naïve Bayes for Dringking Water Potability Classification ]]>
<![CDATA[Anisa Rahmawati]]>;
<![CDATA[Muhamad Fatchan]]>;
<![CDATA[Wahyu Hadikristanto]]>
<![CDATA[ International Journal of Sustainable Applied Sciences Vol. 2 No. 5 (2024): May 2024 ]]>
Publisher : <![CDATA[MultiTech Publisher ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.59890/ijsas.v2i5.1864
<![CDATA[The availability of drinking water that is safe and suitable for consumption is important to support health and development. This research emphasises the importance of handling the clean water crisis through the evaluation of drinking water quality using data mining algorithms. The dringking water quality evaluation method was selected using the K-Nearest Neighbors and Naive Bayes algorithms, replacing the manual method which is less responsive in predicting. The experimental process was conducted by utilising Kaggle website data by applying data processing and oversampling techniques to handle class imbalance in the dataset used. Bases on the research results, the accurancy of the K-Nearest Neighbors Algorithm reaches 65%, which is higher than the accuracy od the Naive Bayes Algorithm which is 64%. So it can be concluded that the K-Nearest Neighbors Algorithm is more effective in predicting the quality of water suitable for consumption. This research provides an in-depth insight into the use of technology and data analysis in dealing with the crisis in the availability of water suitable for consumption and offers suggestions for further research using more diverse methods and the use of more datasets to improve accuracy in evaluating the quality of potable water.]]>
<![CDATA[Increasing the Yield of Purple Corn (Zea mays L.) through the Application of Compost Organic Fertilizer Enriched with Trichoderma ]]>
<![CDATA[Nurnawati, Andi Ayu]]>;
<![CDATA[Syarifuddin, Rifni Nikmat]]>;
<![CDATA[Poleuleng, Andi Besse]]>;
<![CDATA[Hala, Dian Magfirah]]>
<![CDATA[ International Journal of Sustainable Applied Sciences Vol. 2 No. 5 (2024): May 2024 ]]>
Publisher : <![CDATA[MultiTech Publisher ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.59890/ijsas.v2i5.1894
<![CDATA[Purple corn has many benefits for body health so it is necessary to develop research related to this plant. This research aims to obtain information on the effect of giving trichocompost on the production of purple corn plants as well as the recommended dosage of trichocompost fertilizer based on research results. The design method used was Randomized Block Design with treatment in the form of different doses of trichocompost fertilizer (0 tons/ha, 20 tons/ha, 25 tons/ha, 30 tons/ha, and 35 tons/ha). Analysis of variance and the Least Significant Difference (LSD) test showed that the application of trichocompost doses had a significant effect on cob length, cob diameter, and purple corn plant yield. An application of 25 tons/ha of trichocompost can be used as the most efficient recommended dose.]]>
<![CDATA[Employee Performance on Public Services in Tana Toro Village, Pitu Riase District, Sidenreng Rappang Regency ]]>
<![CDATA[Hasni. H]]>;
<![CDATA[Andi uceng]]>;
<![CDATA[Muhammad Arisal Asad]]>
<![CDATA[ International Journal of Sustainable Applied Sciences Vol. 2 No. 5 (2024): May 2024 ]]>
Publisher : <![CDATA[MultiTech Publisher ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.59890/ijsas.v2i5.1908
<![CDATA[At the Tana Toro Village Office, Pitu Riase District, Sidenreng Rappang Regency, this research aims to determine the effectiveness of employees in providing public services as well as the variables that influence the elements mentioned above. Rape. Quantitative descriptive techniques are used in this research methodology. The group studied consisted of 73 people who were provided services. Sampling of saturated samples (census) is the method used. Questionnaires, interviews, literature studies, and observations were used to collect data in this research. By using descriptive statistics using SPSS and percentages, the data is then processed and examined using a quantitative descriptive analytical approach. Research findings show that in Tana Toro Village, Pitu Riase District, Sidenreng Rappang Regency, employee performance was recapitulated with a percentage of 68%, while public services were recapitulated with a percentage of 66% in the same location. as well as variables that influence employee performance in public services in Tana Toro Village, Pitu Riase District, Sidenreng Rappang Regency, where 70% of the data was recapitulated.]]>
