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Paska Marto Hasugian
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seanbersinar@gmail.com
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+6281264451404
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Komplek New Pratama ASri Blok C, No.2, Deliserdang, Sumatera Utara, Indonesia
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INDONESIA
BIOS: Jurnal Informatika dan Sains
Published by SEAN INSTITUTE
ISSN : -     EISSN : 29886910     DOI : 10.54209
Core Subject : Science,
BIOS: Jurnal Informatika dan Sains is a journal managed by the Sean Institute, which serves as a dissemination medium for research findings from scientists and engineers in the fields of computer science and science. Bios Journal is a bi-annual journal aimed at exploring, developing, and explaining knowledge about Computer Science and science, in order to keep practitioners and researchers informed about current issues and best practices, and to serve as a platform for exchanging ideas, knowledge, and expertise among researchers and practitioners in computer science.
Articles 35 Documents
Design Of An Internet Of Thought (Iot)-Based Monitoring Soil And Air Moisture Sensor On Bosai Plants Revian Setya Nugraha
BIOS: Jurnal Informatika dan Sains Vol. 1 No. 02 (2023): BIOS: Jurnal Informatika dan Sains, October 2023
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Abstract

Soil is an important factor for plant growth and development. Soil conditions that are too dry can inhibit root growth and cause the plant's ability to absorb nutrients. Meanwhile, too wet soil can affect root growth and cause disease in plants. One of the information and communication technologies in engineering is the use of the Internet of Things. Facts in the field are difficult to measure manually. For the value of soil and air humidity is very useful to determine the steps or soil handling. The conclusion of the results shows that measuring humidity using soil and air humidity sensors can work well. But the tool needs to be updated even better to get perfect results. And it can help to monitor bonsai plants via a smartphone so it's easy to monitor at any time to monitor plants. And the average tool works about 17 seconds to get the result.
READING MEANINGS AND SIGNS FROM NATURE THROUGH SUSTAINABLE ARCHITECTURAL DESIGN Ayub Muktiono
BIOS: Jurnal Informatika dan Sains Vol. 1 No. 02 (2023): BIOS: Jurnal Informatika dan Sains, October 2023
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This research focuses on the interpretation and use of meanings and signs contained in nature through sustainable architectural design principles. In the context of sustainability, this research explores how architects use visual language and natural concepts in building design to create environments that are environmentally friendly and in line with ecological sustainability. This research uses a qualitative approach with descriptive methods. Research results in sustainable architectural design show that the application of principles that include the holistic use of natural meanings and signs can produce buildings that are more environmentally friendly and sustainable. This research confirms that a deep understanding of the natural context, adaptation to the environment, and inspiration from natural forms form the basis for efficient design that suits local site needs. The choice of sustainable materials, which is reflected in these principles, has also been proven to have a positive impact in reducing the environmental footprint and creating more durable buildings. Overall, the results of this research make a significant contribution to the development of a sustainable architectural paradigm, confirming that the integration of natural meanings and signs not only enriches the aesthetics of buildings, but also underlies sustainability and harmony with the natural environment.
THE IMPACT OF ARTIFICIAL INTELLIGENCE TECHNOLOGY ON THE FUTURE OF COMMUNICATION Harjono Padmono Putro
BIOS: Jurnal Informatika dan Sains Vol. 1 No. 01 (2023): BIOS: Jurnal Informatika dan Sains, April 2023
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Artificial intelligence has become an integral component in the development of information and communications technology, influencing human interactions on a significant scale. This research aims to investigate the impact of the use of artificial intelligence (AI) on various aspects of communication in various contexts. This research uses a qualitative approach with descriptive methods. The research results show that the application of artificial intelligence in communications, such as virtual assistants, chatbots, and AI translation tools, has brought about significant changes in the ease and effectiveness of human interaction. In a business context, the use of artificial intelligence to personalize communications has increased customer engagement, satisfaction and reduced churn rates. Apart from that, AI has also opened up more inclusive communication access for people with disabilities through text-to-speech and speak-to-text technology. Even though the results are positive, it is important to remember that challenges related to ethics, privacy and data security are still major concerns in implementing this technology. With wise understanding, the development of artificial intelligence in the field of communications can provide sustainable benefits for society.
Sustainable marketing strategy: building an eco-friendly brand Ismail Razak
BIOS: Jurnal Informatika dan Sains Vol. 2 No. 01 (2024): BIOS: Jurnal Informatika dan Sains, April 2024
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Increasing consumer awareness of environmental and social issues is encouraging companies to adopt a more sustainable approach in their marketing. This research will focus on marketing practices that are effective in creating a positive brand image in the eyes of consumers, while maintaining environmental integrity. Therefore, the aim of this research is to investigate and analyze sustainable marketing strategies used in building environmentally friendly brands. This research uses a qualitative approach with descriptive methods. The research results show that implementing sustainable marketing strategies has a positive impact on brand image. By prioritizing transparency, the use of sustainable labels and certifications, product innovation, and participation in environmental initiatives, companies can build strong relationships with increasingly environmentally conscious consumers. Consumer education campaigns about the benefits of sustainable products have also proven effective in forming positive perceptions. Sustainable business practices, such as sustainability in the supply chain and waste reduction, demonstrate a real commitment to environmental responsibility. These results provide a basis for recommending the implementation of sustainable marketing strategies as an important step for companies wishing to strengthen their brand image in a sustainability context.
SUSTAINABLE SUPPLY CHAIN MANAGEMENT STRATEGY: TOWARDS EFFICIENCY, INNOVATION, AND ENVIRONMENTAL RESPONSIBILITY Imam Wibowo
BIOS: Jurnal Informatika dan Sains Vol. 1 No. 02 (2023): BIOS: Jurnal Informatika dan Sains, October 2023
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Sustainable supply chains are becoming increasingly important in this era of globalization, where companies are required to not only achieve economic profits, but also pay attention to the social and environmental impacts of their operational activities. This research aims to analyze and identify sustainable supply chain management strategies to achieve operational efficiency, product innovation and environmental responsibility. This research uses a qualitative approach with descriptive methods. The research results show that the implementation of sustainable supply chain management strategies has a positive impact on company performance in efficiency, innovation and environmental responsibility. Identifying critical points in the supply chain, selecting suppliers committed to sustainable practices, and leveraging technology in production processes drives positive change. Transportation optimization, sustainability performance monitoring systems, and active engagement with stakeholders have also been proven to make a real contribution in establishing a more responsive and responsible supply chain. Through these steps, companies can achieve operational success while minimizing negative impacts on the environment, as social responsibilities are increasingly strengthened and recognized.
Building the Virtual World: A Literature Review on the Integration of Metaverse and Blockchain Technology I Gede Iwan Sudipa; Putu Wirayudi Aditama; Christina Purnama Yanti
BIOS: Jurnal Informatika dan Sains Vol. 2 No. 01 (2024): BIOS: Jurnal Informatika dan Sains, April 2024
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The present study explores the incorporation of blockchain technology within the metaverse, uncovering the potential for mutually beneficial outcomes that may revolutionise virtual environments, transaction security, and digital interaction. This study examines the recent advancements, obstacles, and uses of integrating blockchain and metaverse technologies through a literature review. It emphasises the critical role that AR/VR technology plays in the creation of immersive experiences. The findings indicate that the integration of blockchain technology and the metaverse presents a viable avenue towards enhanced virtual experiences that are interactive, decentralised, and secure. This has far-reaching implications across various sectors, including education, entertainment, culture, healthcare, and more. This study highlights the significance of additional progress and interdisciplinary cooperation in order to fully exploit the capabilities of this integrated digital ecosystem.
Advancements in Natural Language Processing: Towards Human-Like Understanding and Generation of Text by AI Hussein Najm Abd Ali
BIOS: Jurnal Informatika dan Sains Vol. 2 No. 02 (2024): BIOS: Jurnal Informatika dan Sains, October 2024
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Constant advances in Natural Language Processing (NLP) have made reflected data systems sorted out for appreciating and making like individuals. This article examines the way taken by these new developments, focusing in on epic levels of progress, approaches, and weights. This article figures out the advances in standard language managing (NLP) by taking a gander at the change from rule-based systems to basic learning structures and the enhancements in semantic creation and understanding. It other than mindfully takes a gander at the moral outcomes and expected uses of reproduced data driven text age and understanding. Man-made intellectual ability (replicated data) has made massive strides in standard language managing (NLP), moving from direct rule-based plans to complex basic learning models. All things considered, NLP is ending up being closer to human-like text age and understanding. This paper deftly takes a gander at the jumbled history of NLP developments, revealing key structures, upgrades, and exploring issues. The way towards human-like text age and care is poverty stricken down, starting with rule-set up structures and going in regards to through quantifiable normal language managing and immense learning models. Similarly, the ethical points of view and social eventual outcomes of PC based data driven text age and understanding are dissected, uncovering data into the requirement for solid execution and moving focus on in this rapidly making subject.
Design of a Web-based Production and Sales Management Information System for the Small Business Convection Industry Samuel Ramos
BIOS: Jurnal Informatika dan Sains Vol. 2 No. 01 (2024): BIOS: Jurnal Informatika dan Sains, April 2024
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This research aims to develop a web-based information system to overcome production and sales management problems in the small-scale convection industry. The main problem faced is the lack of efficiency due to manual recording, which causes errors in stock management, ordering, and production. The solution offered is to design an information system with key features such as raw material stock management, customer ordering, production management, and sales reports. The system was developed using the Waterfall method and implemented to optimize production and sales management. The development results show an increase in operational efficiency through real-time stock monitoring, faster order processing, and accurate report generation. System testing ensures that all features function properly and can meet business needs in improving efficiency operationally.
Design and Development of the HelpDesk Application for the Faculty of Information Technology, Tarumanagara University (FTI UNTAR) using the Agile Scrum Methodology Alvin Nicolas Gunadi; Dedi Trisnawarman; Manatap Dolok Lauro
BIOS: Jurnal Informatika dan Sains Vol. 2 No. 02 (2024): BIOS: Jurnal Informatika dan Sains, October 2024
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At the Faculty of Information Technology, there is currently no structured division of tasks, so the task management process is carried out manually through the WhatsApp application. This causes difficulties in monitoring and completing tasks efficiently, and has the potential to cause confusion and delays. Therefore, a system is needed that can manage tasks and tickets effectively. The general theory discussed in this text covers the basic concepts and principles underlying the research topic, including relevant theories in the chosen field of study as well as methodological approaches. Websites play an important role in presenting interactive web pages for various purposes such as information dissemination, online transactions, communication, entertainment, and education. Websites can be static or dynamic, built using technologies such as HTML, CSS, and JavaScript. Systematic helpdesk management helps in resolving user issues efficiently through automated processes and structured communication channels. The Agile Scrum method is applied for agile development in designing a web-based ticketing helpdesk system, focusing on incremental delivery of value through user stories, product backlog management, sprints, and user acceptance testing. Use case scenarios, activity diagrams, and sequence diagrams are used for clear system visualization and documentation, ensuring efficient system development to meet user needs.
Analysis Of Indonesian Daily Test Results Using the C4.5 Decision Tree Algorithm Bambang Sugito; Nelviony Parhusip; Ibrahim Ibrahim; Maida Indrayani
BIOS: Jurnal Informatika dan Sains Vol. 2 No. 02 (2024): BIOS: Jurnal Informatika dan Sains, October 2024
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This study aims to analyse the results of Indonesian daily tests using the Decision Tree C4.5 algorithm in improving the effectiveness of evaluating student learning outcomes. The data used is the daily test results of students of class X SMK Panca Budi in the academic year 2023/2024. The research process involves the stages of data collection, preprocessing to clean the data, and modelling using RapidMiner software. Decision Tree C4.5 algorithm was used to predict grade improvement based on students' STATUS score. The results showed that the higher the STATUS score, the greater the increase in grades obtained by students. This decision tree model can be used to evaluate student progress and provide clearer insights for the development of technology-based learning methods. This research contributes to the utilisation of data mining technology to improve educational evaluation, although the results are limited to a sample of grade X students at SMK Panca Budi. Further research with larger samples and additional variables is expected to provide more representative results.

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