Garuda - Garba Rujukan Digital

Digitalization empowers the innovative development of agricultural vocational education Wang, Jing; Li, ShiYi; Lin, YuHan
IC-ITECHS Vol 5 No 1 (2024): IC-ITECHS
Publisher : LPPM STIKI Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/ic-itechs.v5i1.1619

AI-empowered high-quality innovation and development of agricultural vocational education is a key step to optimize the allocation of agricultural vocational education resources and improve the level of agricultural vocational education, and it is also an inevitable choice to promote the breakthrough development of agricultural innovation. AI as a means of shortcut, with its unique role, is constantly filling the gap of agricultural talents. At the same time, in the process of the continuous integration and development of AI and agricultural vocational education, certain educational risks have also arisen, and how to correctly avoid risks and promote the high-quality innovation and development of agricultural vocational education is a new topic of the times.

AI empowers the high-quality development of financial and economic college education: opportunities, dilemmas and solutions Wang, Jing; Su, YunNan; Guo, MengXin
IC-ITECHS Vol 5 No 1 (2024): IC-ITECHS
Publisher : LPPM STIKI Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/ic-itechs.v5i1.1620

With the development of the digital economy, AI has gradually given full play to its advantages, improved the overall development of the financial industry, and enhanced the momentum of the industry. For college students in the contemporary financial industry, it is both an opportunity and a challenge. On the basis of analyzing the changes in the financial industry, this paper puts forward the corresponding measures that college students should take for the reference of relevant personnel

Improving Network Security: Protection Strategies in the Digital Age Andre, Muhammad Fabio; Alfarizi, Ferdian; Falssava, Jossa Neka; Sulistiani, Heni
IC-ITECHS Vol 5 No 1 (2024): IC-ITECHS
Publisher : LPPM STIKI Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/ic-itechs.v5i1.1622

Network security is an important factor in protecting data in the digital era. Threats such as DDoS attacks and malware can damage information systems. This article discusses network protection strategies, including the use of firewalls, encryption, VPNs, and Zero Trust Security. In addition, the implementation of multi-factor authentication and user awareness are also identified as crucial mitigation measures. By utilizing technologies such as artificial intelligence, threat detection can be done more efficiently. This research aims to provide practical solutions to improve network security and reduce the risk of cyber attacks.

The Role of Software Engineering in Digital Transformation of Industry 4.0 naufal, wandi; Dimas, Novario; Tauhid, Naufal; Sulistiani, Heni
IC-ITECHS Vol 5 No 1 (2024): IC-ITECHS
Publisher : LPPM STIKI Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/ic-itechs.v5i1.1623

Industry 4.0 is characterized by the adoption of advanced technologies that are changing the way companies operate, interact with customers, and produce products. One of the key factors in the success of digital transformation in this era is software engineering. Innovative and flexible software is the foundation for the implementation of technologies such as the Internet of Things (IoT), artificial intelligence (AI), big data, and automation that support modern industrial operations. This article discusses the critical role of software engineering in accelerating the adoption of Industry 4.0, with a focus on developing software that supports interoperability, scalability, and security in an ever-evolving digital ecosystem. It also discusses the challenges faced by software developers, including the need for new skills, integration of legacy systems, and management of big data generated by devices and sensors. With the right software engineering approach, companies can harness the full potential of Industry 4.0 technologies to improve operational efficiency, productivity, and innovation.(Furstenau et al., 2020)

Mengoptimalkan Bisnis dengan IoT: Solusi Cerdas untuk Masa Depan Anwar, Rian; Sulistiani, Heni
IC-ITECHS Vol 5 No 1 (2024): IC-ITECHS
Publisher : LPPM STIKI Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/ic-itechs.v5i1.1625

internet of Things (IoT) telah menjadi teknologi yang sangat relevan dalam mengoptimalkan bisnis di berbagai sektor. Penelitian ini bertujuan untuk mengeksplorasi bagaimana IoT dapat meningkatkan efisiensi operasional, mengurangi biaya, serta memberikan wawasan lebih dalam untuk pengambilan keputusan berbasis data dalam bisnis. Melalui survei dan wawancara dengan para profesional di industri yang telah mengadopsi IoT, penelitian ini menemukan bahwa penggunaan IoT di berbagai bidang seperti manufaktur, logistik, dan ritel memberikan manfaat yang signifikan dalam meningkatkan produktivitas, pengelolaan sumber daya, dan pengalaman pelanggan. Namun, tantangan utama yang dihadapi adalah masalah keamanan data dan integrasi dengan sistem yang ada. Penelitian ini menyimpulkan bahwa meskipun tantangan tersebut ada, potensi besar IoT dalam mengoptimalkan bisnis memberikan keunggulan kompetitif yang signifikan bagi perusahaan yang dapat mengelolanya dengan baik.

ERP Effectiveness in Improving Production Efficiency Alfikri, Valbian; Anwar, Adi Khairul; Prananta, Gery; Sulistiani, Heni
IC-ITECHS Vol 5 No 1 (2024): IC-ITECHS
Publisher : LPPM STIKI Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/ic-itechs.v5i1.1626

This research specifically investigates how the implementation of ERP systems impacts the operational performance of manufacturing companies. By analyzing the literature and conducting case studies, this research uncovers potential efficiency improvements in various aspects, including reduced production time, optimized use of resources, and improved data quality. The results of this study are expected to provide valuable recommendations for manufacturing companies in implementing ERP effectively and achieving competitive advantage.

IT Infrastructure Security Optimization Strategies for Today's Organizations Sulistiani, Heni; Antoni, Kevin Rizki; Nunyai, Reiza Fahlevi
IC-ITECHS Vol 5 No 1 (2024): IC-ITECHS
Publisher : LPPM STIKI Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/ic-itechs.v5i1.1627

Information technology (IT) infrastructure security is one of the top priorities for organizations in the digital age. The rapid adoption of technologies such as cloud computing, the Internet of Things (IoT), and artificial intelligence has presented great opportunities for innovation, but also increased the risk of cyberattacks, data theft, and system vulnerabilities. This research aims to identify and develop IT infrastructure security optimization strategies that can enhance the protection of an organization's digital assets. The approach used includes risk analysis, implementation of a comprehensive security framework, and adoption of advanced defense technologies such as encryption, next-generation firewalls, and artificial intelligence-based threat detection systems. The results show that an integrated, adaptive strategy supported by solid policies can improve system resilience while supporting operational flexibility. Thus, this research provides practical recommendations for organizations to build an IT infrastructure that is secure, resilient, and ready to face future challenges.

Optimizing AI-Driven Reservation Systems for Travel Agencies Using Human-Centered Design Principles to Improve Efficiency and Accuracy Islamiyah, Mufidatul; Sunarto, Billy Tian
IC-ITECHS Vol 5 No 1 (2024): IC-ITECHS
Publisher : LPPM STIKI Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/ic-itechs.v5i1.1629

Traditional land-based travel agencies offering services like taxis, cars, minibusses, and buses face inefficiencies due to manual reservation processes. These methods often lead to errors and delays, resulting in customer dissatisfaction. This paper presents the development of a web-based reservation system designed using Human-Centered Design (HCD) methodology to reduce errors, accelerate processes, and enhance customer experience. AI is integrated to automate order validation and confirmations, while ensuring staff maintain control over the final steps. Surveys and interviews with stakeholders, including business owners and customers, will be conducted to refine the system based on real-world insights.

Image Classification of Organic and Inorganic Waste Using Convolutional Neural Networks Mubarokhh, Fahmi Wafi
IC-ITECHS Vol 5 No 1 (2024): IC-ITECHS
Publisher : LPPM STIKI Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/ic-itechs.v5i1.1632

Indonesia will become the third largest contributor of plastic waste in the world in 2024. This is due to the suboptimal management and recycling of waste. One way to reduce the accumulation of waste in the environment is through waste separation as the first step in recycling. In the field of informatics engineering, this process can be implemented using Convolutional Neural Network (CNN), a deep learning method designed to recognize and classify objects in digital images. This study aims to develop a high-accuracy CNN model for waste type classification using the TensorFlow framework. The analysis was carried out to determine the most appropriate CNN architecture in separating waste optimally. By implementing this algorithm, an automatic waste separation system can be built to support the efficiency of the recycling process. This research is expected to accelerate and simplify the waste separation process, while encouraging more effective waste management.

Leveraging AI and Data Science to Increase Student Engagement through Interactive Learning prastiwi, yuyun; Maulindar, Joni
IC-ITECHS Vol 5 No 1 (2024): IC-ITECHS
Publisher : LPPM STIKI Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/ic-itechs.v5i1.1634

Student engagement in the learning process is often a challenge, especially in modern educational environments that require adaptation to interactive technology. This research aims to explore the application of artificial intelligence (AI) and data science in increasing student engagement through interactive learning. This research uses quantitative methods with a descriptive approach, analyzing participation data, system interactions, motivation, age and education level from 50 students at the upper secondary level. The results showed that the average frequency of student participation reached 12.86 times per week with a standard deviation of 4.19,indicating that although the involvement of most students was quite high, there was still significant variation. Learning system interactions had an average of 27.8 times, indicating thatstudents actively utilized available technology, with a minimum of 10 times and a maximum of 49 times during the observation period. In terms of student motivation, the average Likert score is 4.02 on a scale of 1–5, indicating a high level of motivation, with a maximum score of 4.94. The average age of students is 15.38 years, with the majority being in grade 12, according to the mode in the education level variable. Further analysis shows that these variables have a positive correlation in supporting student engagement. This shows that the use of AI-based technology can encourage students to be more actively involved in learning, while maintaining their high levels of motivation. This research concludes that the application of AI and data science can be an effective solution to increase student engagement, especially if the system is designed personally and adaptively according to individual characteristics.

Home Page

OAI Link

Editorial Team

Contact

Reviewer

Google Scholar

Contact Name
-

Contact Email
-

Phone
-

Journal Mail Official
-

Editorial Address
-

Location
Kota malang,

Jawa timur

INDONESIA

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Home Page

OAI Link

Editorial Team

Contact

Reviewer

Google Scholar

Contact Name -

Contact Email -

Phone -

Journal Mail Official -

Editorial Address -

Location Kota malang, Jawa timur INDONESIA

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Contact Name
-

Contact Email
-

Phone
-

Journal Mail Official
-

Editorial Address
-

Location
Kota malang,

Jawa timur

INDONESIA