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TIERS Information Technology Journal
Published by Universitas Pendidikan Nasional
ISSN : 27234533     EISSN : 27234541     DOI : 10.38043
Core Subject : Science,
Computer Science & IT
TIERS Information Technology Journal memuat artikel Hasil Penelitian dan Studi Kepustakaan dari cabang Teknologi Informasi dengan bidang Sistem Informasi, Artificial Intelligence, Internet of Things, Big Data, e-commerce, Financial Technology, Business Digital
Arjuna Subject : Ilmu Komputer (semua kategori) - Sistem Informasi
Articles 120 Documents
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AI in Dermatology: A Systematic Review on Skin Cancer Detection Safrian Andromeda; Ni Luh Bella Dwijaksara
TIERS Information Technology Journal Vol. 5 No. 1 (2024)
Publisher : Universitas Pendidikan Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38043/tiers.v5i1.5444

Abstract

Skin cancer is the most common type of cancer worldwide and poses a significant public health challenge. Its visible nature often leads individuals to seek medical attention, highlighting the importance of early detection for better patient outcomes. In recent years, Artificial Intelligence (AI) has shown promise in improving the detection and diagnosis of skin cancer, offering the potential to enhance clinical outcomes. A systematic review was conducted, involving a comprehensive literature search to identify studies focused on AI techniques in detecting, diagnosing, or treating skin cancer. Strict inclusion and exclusion criteria were applied to assess the eligibility of scientific articles, resulting in the selection of nine relevant studies. These studies were analyzed to address predefined research questions about the effectiveness of AI in diagnosing skin cancer. The review found that AI-assisted clinicians achieved higher sensitivity and specificity in diagnosing skin cancer than those without assistance. Various AI algorithms demonstrated high sensitivity in detecting skin cancers, highlighting their potential to support primary care clinicians in evaluating suspicious lesions. The analysis also highlighted the effectiveness of smartphone applications designed for skin cancer risk assessment, which could facilitate self-examinations and enhance early detection rates. Despite these promising findings, the field of AI in skin cancer diagnosis is still in its early stages. Challenges remain, including developing robust algorithms, addressing data quality issues, and improving the interpretability of AI-generated results. Collaboration between AI developers and healthcare professionals is crucial to ensure these tools' clinical effectiveness and safety. The review emphasizes the need for continued validation of AI technologies and their integration into clinical practice to improve patient outcomes and alleviate the burden on healthcare systems.
UI/UX Design of the Shop Feature on the Seafood by Aruna Website Using the Design Thinking Method Anugerah Tirta Kenanga Unggul Mitra Mandiri; Rangga Gelar Guntara; Asep Nuryadin
TIERS Information Technology Journal Vol. 5 No. 1 (2024)
Publisher : Universitas Pendidikan Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38043/tiers.v5i1.5459

Abstract

The current Seafood by Aruna website functions solely as a landing page to promote products, with actual sales still conducted through a marketplace. This reliance on a marketplace limits the brand's control over personalization, customer value, shopping experience, and brand identity due to strict platform policies and standards. Additionally, shifts in consumer behavior in the digital era indicate a desire for a more personalized, sustainable shopping experience that meets specific needs, including accurate product information and quality assurance. To address these challenges, this research aims to design an online shopping feature for the Seafood by Aruna website using the Design Thinking method. This approach is applied to understand user needs and address various pain points faced by consumers when shopping for seafood online. The research found that users require accurate delivery, reliable product information, and assurances of product freshness. Testing of the designed features using the System Usability Scale (SUS) yielded an average score of 90.12, categorized as "Best Imaginable." This score reflects that the developed features meet user expectations, thanks to the effective application of the Design Thinking method. The implications of this research suggest that developing a dedicated e-commerce platform enables Aruna to better control all aspects of the shopping experience, enhance customer satisfaction and loyalty, and strengthen its position in the e-commerce market. However, further development is needed to adapt the features to changing consumer behavior and market trends.
Exploring the Integration of AI and Cloud Computing: Navigating Opportunities and Overcoming Challenges Musawer Hakimi; Ghulam Ali Amiri; Safiullah Jalalzai; Farid Ahmad Darmel; Zakirullah Ezam
TIERS Information Technology Journal Vol. 5 No. 1 (2024)
Publisher : Universitas Pendidikan Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38043/tiers.v5i1.5496

Abstract

This research seeks to establish how the integration of cloud computing and artificial intelligence identifies opportunities across operational efficiency, cost reduction, and innovation acceleration. This study seeks to establish how this integration is revolutionizing traditional business models and dealing with emerging security, privacy, and regulatory challenges. The applied method in this research was a systematic review strategy whose sources of data will be chosen from IEEE Xplore, Wiley Online Library, Springer, and ScienceDirect. The literature review focused on publications from 2019 to 2024 to deduce current findings that remain relevant. Results have shown that artificial intelligence, when integrated with cloud computing, would significantly enhance operational efficiency through process optimization and reduced cost using scalable cloud solutions. This also provides a greater pace of innovation by allowing real-time data processing and advanced analytics. However, such integration has a specific set of security and privacy concerns related to breaches and compliance with regulations in continuous evolution. It concludes that, though large, the benefits of AI and cloud computing integration must be reined in by strong security measures, updating regulatory frameworks, and continued research into ethical implications.
Meta-Analysis Of Genetic Algorithm Implementation For Optimization Of Artificial Neural Network Methods Komang Nova Artawan; Agus Dharma; I Made Ardi Sudestra
TIERS Information Technology Journal Vol. 4 No. 2 (2023)
Publisher : Universitas Pendidikan Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38043/tiers.v4i2.5515

Abstract

One of artificial intelligence methods, which is artificial neural networks, have been widely used in data analysis to make predictions, forecasting, and data classification. The artificial neural network method has convergence or local minimum problems because it requires randomly generated weight values. There is a lot of research that discusses optimization techniques for initiating this initial weight to solve that problem. In this study, a meta-analysis was carried out regarding the implementation of genetic algorithms for optimization of artificial neural network methods. Based on 10 journals that has reviewed in this study, it was concluded that optimization of the genetic algorithm can increase the output value of the artificial neural network by 3.44%, but this genetic algorithm optimization have no significant effect based on the sig (2-tailed) value is 0.595 and t count value is 0.551 that have been obtained and tested using paired samples t-test method with help of SPSS software.
Implementation Of The Simple Additive Weighting (SAW) Method On The Determination Of Scholarship Recipients Made Ary Sanjaya; I Gusti Arya Sidhi Narendra
TIERS Information Technology Journal Vol. 4 No. 2 (2023)
Publisher : Universitas Pendidikan Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38043/tiers.v4i2.5518

Abstract

In recent years, technology and science have developed quite drastically. With advances in technology and science, we can create a system to help solve a problem such as granting scholarships. The purpose of this research is to build a decision support system to help and make it easier to determine who is entitled to get a scholarship. The method we use here is Simple Additive Weighting (SAW) which simplifies the process of awarding scholarships which is then carried out by a process of ranking and determining the weight values for each criterion attribute to get the best alternative and who is entitled to get the scholarship. The data used to determine scholarship recipients includes GPA data (Grade Point Average), parents income data, and parents dependents data. The results obtained in this study indicate that a decision support system can make it easier to determine who is entitled to get the scholarship without requiring more time than the manual method which will also make it easier for humans to make decisions.
Optimizing Scholarship Selection: A Decision Support System Approach Using the Analytical Hierarchy Process Agus Yusuf Novianto
TIERS Information Technology Journal Vol. 4 No. 2 (2023)
Publisher : Universitas Pendidikan Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38043/tiers.v4i2.5519

Abstract

Scholarship is the provision of financial assistance to individuals, which aims to be used for the continuity of the education pursued. Per the scholarship provider's regulations, criteria are needed to determine who will be selected to receive the scholarship. Scholars are distributed by schools or other parties that organize scholarships to help someone who is underprivileged or who has achieved something during his studies. A decision support system is needed to help determine someone who deserves a scholarship. This system can analyze academic performance, financial needs, extracurricular activities, and personal statements to determine the most deserving candidates. By using a decision support system, scholarship providers can ensure that the scholarships are given to individuals who benefit the most from the financial assistance and are dedicated to their education. Ultimately, scholarships aim to help individuals overcome financial barriers and achieve their academic and career goals.
Development of an IoT-Enabled Automatic Poultry Feeder and Cage Temperature Monitoring System Using Microcontroller Technology Setiadi, Teguh; Arifiandi, Tody Inggil
TIERS Information Technology Journal Vol. 5 No. 2 (2024)
Publisher : Universitas Pendidikan Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38043/tiers.v5i2.5631

Abstract

In general, chicken farmers still use conventional systems to feed the chickens they raise. They use their hands to sprinkle feed on the feed poles and walk along the cage where the cages for the chickens they raise are very large. Such activities for chicken farmers will take up time and energy. Feeding chickens can be made easier by using mechanical devices controlled by electronic equipment. The aim of this research is to design and create an IoT-based automatic chicken feeding tool. In designing this tool, we started by designing an IoT-based automatic chicken feeding tool. Where the Servo is a feed pusher in the pipe to spill animal feed into the feeder. The results of this research show the performance of Servo which functions to provide automatic chicken feed. The results of IoT testing which functions as a timer for giving chicken feed to this tool are quite accurate. This is proven by the difference between the time on the tool and the time on the laptop of only 1 second. And temperature monitoring can be seen on the LCD, if the temperature is above 30 degrees, the fan or fun will turn on, and if it is below 30 degrees, the light will turn on automatically.
Design of an IoT-Based Automatic Weighing System for Catfish Farming to Support Smart Aquaculture Jannah, Sutra Wardatul; Muhtadi, Ahmad; Ridwan, M. Deny; Kurlillah, Rizki
TIERS Information Technology Journal Vol. 5 No. 2 (2024)
Publisher : Universitas Pendidikan Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38043/tiers.v6i2.5633

Abstract

Enhancing the accuracy and efficiency of the catfish weighing process is essential for farmers to optimize distribution to retailers and wholesalers while improving productivity and operational performance. This study focuses on developing an IoT-based automatic weighing system to provide a real-time and automated solution to these challenges. The proposed system incorporates a load cell sensor for weight measurement, an ESP32 microcontroller with a WiFi module for seamless data transmission, and an intuitive web-based interface for monitoring and control. Powered by solar energy, the system emphasizes the integration of renewable energy in aquaculture. The research involves designing the system's mechanical, electrical, and software components to create a practical and accessible tool for farmers. Field trials on catfish farms assess the system’s performance in terms of accuracy and efficiency, comparing it to conventional manual weighing methods. This innovation aims to boost operational efficiency in aquaculture while contributing to the adoption of sustainable and intelligent farming technologies.
Revolutionizing Technology Education with Artificial Intelligence and Machine Learning: A Comprehensive Systematic Literature Review Hakimi, Musawer; Zarinkhail, Mohammad Shuaib; Ghafory, Hamayoon; Hamidi, Shir Ahmad
TIERS Information Technology Journal Vol. 5 No. 2 (2024)
Publisher : Universitas Pendidikan Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38043/tiers.v6i2.5640

Abstract

Machine learning and artificial intelligence in education will help to personalize the student learning process, reduce the time wastage in imploding administration systems, and innovate teaching methods. The article reports the findings of a study on the effects of these technologies on the educational systems of application, benefits, and challenges and looks forward to the implications. This has been realized through a systematic review of peer-reviewed journal articles, government reports, and policy documents published between 2021 and 2024. Results show great benefits, including enhanced personalized learning experiences and administrative efficiencies, but also highlight several challenges, such as equitable access, data privacy, and the need for professional development of educators. Rather, this research outlines the imperatives that there is a need to address challenges for the realization of the potential of AI and ML in education. The paper makes recommendations for key stakeholders and points out areas for possible future research to guide sustainable and ethical integration into educational systems. Further research should be done to understand whether these technologies affect student outcomes in the long term and are applicable with the same efficacy in other cultural and socioeconomic contexts.
Mobile-Based Decision Support System for Recommending Tourism Attraction Using MAGIQ-ARAS Methodology Mahendra, Gede Surya; Wiradika, I Nyoman Indhi
TIERS Information Technology Journal Vol. 5 No. 2 (2024)
Publisher : Universitas Pendidikan Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38043/tiers.v5i2.5655

Abstract

Tourism in Bali faces challenges such as overcrowding, poor management, and diverse visitor preferences, which hinder effective decision-making for tourist destinations. This study introduces an Android-based DSS using the MAGIQ-ARAS. The MAGIQ method simplifies the weighting process, while the ARAS method evaluates alternatives to produce utility-based rankings. Together, MAGIQ-ARAS provide a structured approach for generating tourist recommendations tailored to user preferences. The research follows a combination of the CRISP-DM framework for data preparation and the Waterfall Model for system development. Field studies, interviews, and literature reviews informed the design of a mobile application that integrates MAGIQ and ARAS. Black-box testing verified functionality, and accuracy testing using a confusion matrix evaluated the alignment between recommendations and user preferences. The results demonstrate the system's effectiveness, achieving 90% accuracy in matching recommendations with user preferences. Black-box testing confirmed that all features, including preference weighting and interactive navigation, operated as intended. The system simplifies MCDM and enhances user satisfaction through its efficient and user-friendly interface. The study concludes that the MAGIQ-ARAS-based mobile application offers a reliable solution for tourist recommendations. Future work should explore real-time data integration and expand application to other tourism regions to enhance adaptability and usability.

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