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Dahlan Abdullah
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Jl. Tgk. Chik Ditiro, Lancang Garam, Lhokseumawe, Aceh - Indonesia, 24351
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International Journal of Engineering, Science and Information Technology
Published by Universitas Malikussaleh
ISSN : -     EISSN : 27752674     DOI : -
Core Subject : Science, Education, Social, Engineering,
Astronomy Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Physics Social Sciences Transportation
The journal covers all aspects of applied engineering, applied Science and information technology, that is: Engineering: Energy Mechanical Engineering Computing and Artificial Intelligence Applied Biosciences and Bioengineering Environmental and Sustainable Science and Technology Quantum Science and Technology Applied Physics Earth Sciences and Geography Civil Engineering Electrical, Electronics and Communications Engineering Robotics and Automation Marine Engineering Aerospace Science and Engineering Architecture Chemical & Process Structural, Geological & Mining Engineering Industrial Mechanical & Materials Science: Bioscience & Biotechnology Chemistry Food Technology Applied Biosciences and Bioengineering Environmental Health Science Mathematics Statistics Applied Physics Biology Pharmaceutical Science Information Technology: Artificial Intelligence Computer Science Computer Network Data Mining Web Language Programming E-Learning & Multimedia Information System Internet & Mobile Computing Database Data Warehouse Big Data Machine Learning Operating System Algorithm Computer Architecture Computer Security Embedded system Coud Computing Internet of Thing Robotics Computer Hardware Information System Geographical Information System Virtual Reality, Augmented Reality Multimedia Computer Vision Computer Graphics Pattern & Speech Recognition Image processing ICT interaction with society, ICT application in social science, ICT as a social research tool, ICT in education
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 7 Documents
 1 
Search results for , issue "Vol 4, No 1 (2024)" : 7 Documents clear
Interpretation of Building Maintenance Factors on Employee Convenience at The Factory of PT Campina Ice Cream Industry Tbk Setiawan, Rudi; Durrotun Nasihien, Ronny; Sutapa, I Ketut; Irwansyah, Defi
International Journal of Engineering, Science and Information Technology Vol 4, No 1 (2024)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v4i1.481

Abstract

Buildings are an essential part of human life. Building maintenance is carried out to provide security and comfort for building users. This study aims to determine and analyze the implementation of building maintenance, the influence of maintenance factors on building maintenance, and what maintenance factors have a dominant influence on the comfort of building users at PT. Campina Ice Cream Industry Tbk. This study uses a quantitative approach to data collection using a questionnaire. The population used in this study were employees at the PT. Campina Ice Cream Industry Tbk has a total of 520 employees. Meanwhile, the research sample was 72 employees at PT. Campina Ice Cream Industry Tbk. The data was tested using the validity test and reliability test. The analytical method used is multiple linear regression analysis with hypothesis testing using the t-test. The study results show that the condition of building maintenance is carried out at the factory of PT. Campina Ice Cream Industry Tbk, through architectural, mechanical, and electrical maintenance, has been carried out well, starting from wall and window maintenance and wall/glass cleaning, properly providing and maintaining health facilities, and holding office facilities and infrastructure, especially in regular electrical installations. The results of the t-test show that architectural, mechanical, and electrical maintenance has a significant effect on comfort. The building maintenance variable that has the dominant influence on comfort is the electrical maintenance variable.
Analysis of the Relationship of Domestic Sea Transportation to the Gross Regional Domestic Product of the Real Estate Sector in Indonesia Nur Alfionita, Firda Bunga; Setiawan, M Ikhsan; Prawito, Adi; Koespiadi, Koespiadi; Durrotun N, Ronny; Ismawati, Ismawati; Sutapa, I Ketut
International Journal of Engineering, Science and Information Technology Vol 4, No 1 (2024)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v4i1.486

Abstract

The economic slowdown due to the pandemic has negatively affected various sectors in Indonesia, including the real estate sector. Meanwhile, Java Island is still the center of the economy in Indonesia. This contrasts the conditions of regions outside Java, which are still experiencing development gaps. Despite being a minor contributor to GDP, areas outside Java, such as Maluku and Papua, have experienced rapid economic growth. This proves that, outside Java, there is still significant potential for growth and investment, although it is inevitable that it will face unique challenges and obstacles in the future. Some of the factors that cause this to happen are the lack of supporting infrastructure such as roads, limited skilled human resources, and connectivity and transportation mobilization in the area. Excellent and appropriate connectivity and mobilization are needed to support economic growth in an area. One option for mobilization tools for archipelagic countries like Indonesia is sea transportation. In meeting the needs of the property and real estate sector, sea transportation is one of the options of choice. Excellent and proper connectivity and mobilization can be a factor that supports economic growth as well as the real estate sector outside Java. In the real estate sector, maritime transportation is essential in the timely distribution of quality building materials and construction equipment to development sites. There is undoubtedly a link between marine transportation and property/real estate in Indonesia. The research method used in this study is a significant correlation analysis, namely Pearson Product Moment, to determine the relationship between two variables, namely Domestic Sea Transportation and Real Estate Sector GRDP. The results of the correlation data test in this study show that the Domestic Sea Transportation variable is positively correlated with the Real Estate GRDP variable. Indicated by the correlation coefficient value for each sea transportation variable of domestic ship visits (units) = 0.331, domestic ship visits (GT) = 0.504, the flow of Non-Crate and Container goods (unloading) = 0.251, the flow of Non-Crate and Container goods (loading) = 0.447. It can be interpreted that there is a positive relationship between the four sea transportation variables and Real Estate GRDP.
Comparative Analysis of CNN-RNN Models for Hatespeech Detection Incorporating L2 regularization Handayani, Tri Pratiwi; Hasyim, Wahyudin
International Journal of Engineering, Science and Information Technology Vol 4, No 1 (2024)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v4i1.491

Abstract

This study aims to address the challenge of detecting hate speech in text data by comparing two experimental CNN-RNN models. The primary issue is achieving a balance between precision and recall in hate speech detection while preventing overfitting and ensuring good generalization. Two different approaches were applied: the first model used standard training techniques, while the second model incorporated L2 regularization and early stopping. The research involved using Keras Tokenizer for text tokenization, layering with CNN and LSTM for feature extraction and temporal context capturing, and applying dropout to prevent overfitting. L2 regularization and early stopping were added to the second model to enhance generalization. The findings reveal that the first model, although exhibiting some overfitting, attained a higher overall accuracy of 78% and more balanced F1-scores for both the "Not Hate Speech" and "Hate Speech" categories. The second model, although achieving higher precision for hate speech (0.81), had lower recall (0.58), resulting in an overall accuracy of 75%. This suggests that regularization and early stopping need careful tuning to avoid reducing sensitivity to hate speech detection.
Analysis of The Relationship of Land Transportation With GRDP in Wholesale and Retail Trade Sector, Car and Motorcycle Reparation Raditya, Rizky Putra; Setiawan, M Ikhsan; Durrotun, Ronny; Bahaswan, Rizal; Prawito, Adi; Heka Ardana, Putu Doddy; Sutapa, I Ketut; Irwansyah, Defi
International Journal of Engineering, Science and Information Technology Vol 4, No 1 (2024)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v4i1.487

Abstract

Transportation Land transportation influences national economic growth. Due to the existence of land transportation modes, the national economy can continue to grow from year to year. This study analyzed the variable relationship between land transportation through road length data, road condition data, and GRDP in the wholesale and retail trade sectors. The results of this study show that good national road conditions have a very low positive correlation (0.079). And has an insignificant relationship to GRDP (0.665 0.05). National road conditions have a shallow level of positive correlation (0.074). And has a negligible relationship to GRDP (0.679 0.05). Damaged national road conditions have a superficial negative correlation (-0.040). And has an insignificant relationship to GRDP (0.823 0.05). National road conditions severely damaged did not pass the requirements test, normality test results (0.024 0.05). Provincial road conditions are good, with a positive correlation (0.681). And has a significant relationship to GRDP (0.00 0.05). Medium local roads have a good level of positive correlation (0.586). And has a substantial relationship to GRDP (0.00 0.05). The condition of damaged provincial roads has a low negative correlation (-0.103). It has an insignificant relationship to GRDP (0.563 0.05). The condition of the badly damaged national road does not pass the requirements test, the normality test (0.024 0.05). Moderate district/city road conditions have an average positive correlation (0.356). And has a significant relationship to GRDP (0.039 0.05). The condition of district/city roads is damaged and has a shallow correlation level of (0.105). It has an insignificant relationship with GRDP (0.555 0.05). The condition of district/city roads is badly damaged and has a shallow correlation level of (0.105). It has an insignificant relationship with GRDP (0.555 0.05). The condition of district/city roads is damaged and has a shallow correlation level of (0.105). It has an insignificant relationship with GRDP (0.555 0.05). The condition of district/city roads is badly damaged and has a shallow correlation level of (0.105). It has an insignificant relationship with GRDP (0.555 0.05). The condition of district/city roads is damaged and has a shallow correlation level of (0.105). It has an insignificant relationship with GRDP (0.555 0.05). The condition of district/city roads is badly damaged and has a shallow correlation level of (0.105). It has an insignificant relationship with GRDP (0.555 0.05).
Implementation of Multicultural Education as Efforts to Strengthen the Five Main Character Values of Student Moderation at SDN Kutuh Kintamani Sueca, I Nyoman; Arini, Ni Wayan; Satri Adnyani, Ni Wayan; Sukerni, Ni Made; Subagia, I Nyoman
International Journal of Engineering, Science and Information Technology Vol 4, No 1 (2024)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v4i1.470

Abstract

This research aims to reveal, understand, describe, and analyze facts about implementing multicultural education as strengthening the five central values of student character in the form of moderation at SDN Kutuh Kintamani, holistically and comprehensively following the science of religious education. The type of research used was descriptive qualitative. The methods used in data collection were interviews, observations, and documentation. The technique for determining informants was carried out using purposive sampling, taking samples adapted to the research objectives, and data analysis was carried out in four ways: data collection, reduction, data presentation, and data verification. Implementing multicultural education and strengthening the five central character values is very important for students' lives in society, in addition to understanding the five central character values that the Ministry of Education and Culture has determined as a reference for realizing religious moderation to prevent discriminatory actions against different groups in society, and also embodies the spiritual teachings they adhere to. This research impacts the social life of society to understand multicultural education, which can strengthen the five central character values as a form of religious moderation established by the Ministry of Education and Culture to foster solid and reliable religious tolerance. This research focuses on a study of the implementation of multicultural education to strengthen the five central character values of students' religious moderation, which has been carried out previously.
Web-Based Complaints Service Information System at Dewantara District Office Amrina, Amrina; Aslam, Aslam; Islam, Khoirul; Sutapa, I Ketut; Kurniawansyah, Kurniawansyah; Abdullah, Dahlan; Ardian, Zalfie
International Journal of Engineering, Science and Information Technology Vol 4, No 1 (2024)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v4i1.490

Abstract

The Complaint Service Information System is a web-based platform designed for the Dewantara District Office. The title Complaint Service Information System is based on the need for technological solutions to improve the quality of public services, especially in handling public complaints. This system was chosen because it facilitates more efficient complaint reporting, increases transparency, and speeds up responses to issues raised by the public. By applying information technology in handling complaints, it is hoped that we can create a public service environment that is more responsive, open and adaptive to the ever-growing needs of society. The process of creating a complaint service information system involves several main stages. First, the needs analysis stage is carried out to identify and understand the needs of users and related parties in handling complaints. This involves a survey and analysis of associated documents. Next, the system design and design stage involves database structure, user interface, and business logic. This Information System design process involves critical steps to ensure the success and effectiveness of the system, including coding, creating a user interface, and setting up a database. The results of designing the Complaint Service Information System include a simple and responsive user interface, an online complaint form, a status tracking system, and analytical reports. A structured and secure database stores, manages, and retrieves complaint data. Afterwards, the implementation phase involves running the entire system and, if necessary, data migration. Through the creation of this Information System, it is hoped to evaluate the impact of the level of accessibility and ease of navigation in the system on employee performance in searching, monitoring and managing incoming complaints. With a web-based approach, this system provides easy, fast access for users from various locations and increases transparency in managing services provided to the community.
Student Perceptions of the Implementation of Big Data in Sinergy as Learning Optimization at the Bali Institute of Design and Business Satrya Ramayu, I Made; Manurung, Handrean; Rachmadhan Amri, Muhammad Febrian; Mahendra, Gede Surya; Yoga Indrawan, I Putu
International Journal of Engineering, Science and Information Technology Vol 4, No 1 (2024)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v4i1.611

Abstract

The current digital era is characterized by exponential data growth, presenting unprecedented opportunities and challenges in extensive data analysis. Data's increasing complexity and volume demand more efficient and effective analysis methods. In overcoming this challenge, big data technology is an innovative solution in data analysis. Semantic technology enriches the data modeling process by providing deeper context and meaning and facilitates more intuitive and accurate analysis, which is critical in managing diverse big data. The use of big data is an essential aspect of the learning system in information technology, especially at the Bali Design and Business Institute. This research aims to describe the implementation of big data on the Synergy platform as an effort to optimize learning at the Bali Design and Business Institute based on a literature review. Information technology that continues to develop has changed the learning paradigm by adopting Big Data in the context of e-learning. Synergy, as an innovative e-learning platform, has the potential to use Big Data to increase the personalization and effectiveness of learning for students. This research takes a qualitative approach by analyzing relevant literature and discussing the use of big data in education and e-learning. This literature review aims to understand how implementing Big Data can influence learning interactions, academic decision-making, and the development of adaptive learning strategies in educational environments. The literature review results show that using Big Data in e-learning can strengthen the personalization of learning, improve academic predictions, and provide deeper insight into student learning behavior. The implications of this research provide a solid theoretical basis for developing strategies for implementing Big Data at Synergy so that it can support improving the quality of learning at the Bali Institute of Design and Business.

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