cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
M. Rikzam Kamal
Contact Email
logiclink@uingusdur.ac.id
Phone
+626281806778347
Journal Mail Official
logiclink@uingusdur.ac.id
Editorial Address
Jl. Pahlawan No. 52, Rowolaku, Kab. Pekalongan, Indonesia.
Location
Kota pekalongan,
Jawa tengah
INDONESIA
LogicLink: Journal of Artificial Intelligence and Multimedia in Informatics
Published by Universitas Islam Negeri K.H. Abdurrahman Wahid Pekalongan
ISSN : 30634504     EISSN : 30629098     DOI : https://doi.org/10.28918/logiclink.v1i1
Core Subject : Science,
Computer Science & IT
LogicLink : Journal of Artificial Intelligence and Multimedia in Informatics is free of fee, open access, and peer-reviewed journal, published by Informatics Department - UIN K.H. Abdurrahman Wahid Pekalongan Indonesia, which is a dissemination medium for research results from scientists and engineers in the Artificial Intelligence and Multimedia. LogicLink is a biannual journal issued in June and December with the objectives to explore, develop, and elucidate the knowledge of computational intelligence or Multimedia to keep practitioners and researchers informed on current issues and best practices, as well as serving as a platform for the exchange of ideas, knowledge, and expertise among technology researchers and practitioners. LogicLink : Journal of Artificial Intelligence and Multimedia in Informatics focuses on issues of Computational Intelligence, such as : 1. Artificial Intelligence 2. Information Security 3. Image Processing 4. Data Mining 5. Decision Support System 6. Mobile Computing 7. Expert System 8. Multimedia, 9. and other topic related to computer technology
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 22 Documents
 1   2   3 
Implementasi QR Code Untuk Sistem Informasi Pemesanan Menu Pada Restoran Omah Gedhe Pandean Kaliwungu Berbasis Web Rusito, Rusito; Diyah Intan Mawarni Putri
LogicLink Vol. 1 No. 2, December 2024
Publisher : Universitas Islam Negeri K.H. Abdurrahman Wahid Pekalongan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28918/logiclink.v1i2.9164

Abstract

This study aims to develop and implement a web-based menu ordering information system using QR Codes at Omah Gedhe Pandean Kaliwungu Restaurant. The system is designed to enhance efficiency and convenience in the food ordering process at the restaurant. QR Codes are used as a medium to access the digital menu, allowing customers to scan the codes with their mobile devices to directly view the menu and place orders without waiting for a waiter. The results of this implementation show that the QR Code-based information system can improve service speed, reduce ordering errors, and provide a more interactive experience for customers. This research employs the Research and Development (R&D) method by Brog & Gall, which is used to produce and test specific products. The study uses 6 out of the 10 steps of this method. Validation results from experts and users show an average validation score of 31.5 from 2 respondents, which falls within the 31-40 range on the value indicator table, leading to the conclusion that the system design is "Highly Valid."
Museum Guide Application Menggunakan Augmented Reality Berbasis Android: (Studi Kasus : Museum Ketransmigrasian Lampung) Agustinus Eko Setiawan; Dinda Rahmadanty; Ratnasari; Dwi Yana Ayu Andini
LogicLink Vol. 1 No. 2, December 2024
Publisher : Universitas Islam Negeri K.H. Abdurrahman Wahid Pekalongan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28918/logiclink.v1i2.9169

Abstract

This research develops a museum guide application using Android-based Augmented Reality (AR) technology, with a focus on the Lampung Transmigration Museum. The purpose of this research is to improve visitors' educational experience and attract more tourists by presenting museum collection information interactively and visually. The research methods used are qualitative and quantitative approaches, as well as the Multimedia Development Life Cycle (MDLC) model consisting of concept, design, material collection, assembly, testing, and distribution stages. The results showed that this application succeeded in increasing visitor attraction and engagement, as well as providing easier access to information about museum collections. Tests show that the marker can be detected well within a distance of 8 to 50 cm, and can still be recognized even if it is obstructed by 50%. It is hoped that this application can be a practical solution in delivering information in museums, as well as increasing public interest in cultural heritage
Sistem Keamanan Kotak Paket Cerdas Berbasis IoT dengan Teknologi MQTT Sasmoko, Dani; Reni Veliyanti; S. Anang Wijayanto
LogicLink Vol. 1 No. 2, December 2024
Publisher : Universitas Islam Negeri K.H. Abdurrahman Wahid Pekalongan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28918/logiclink.v1i2.9198

Abstract

MQTT protocol is used by smart package box security systems based on the Internet of Things (IoT) to ensure the security and speed of package delivery. This system uses ESP32 devices and several sensors, including a keypad and magnetic sensors, as well as actuators like door lock solenoids and an LCD connected to an MQTT server that can be accessed via Android devices. The main features of this system include notifications about package arrivals, recipient identity verification using the last four digits of the phone number, and two operating modes, automatic and manual. After being tested under various conditions, this system has shown that it can effectively maintain security and monitor package status in real-time. The test results show that the smart package box hardware and the MQTT server can communicate well, allowing couriers and owners to communicate.
Pengujian Sistem Informasi Pendaftaran Job Fair di Institut Widya Pratama dengan teknik Equivalence Partitioning Maulana, Mohammad Reza; Muhammad Faizal Kurniawan; Wahyu Setianto
LogicLink Vol. 1 No. 2, December 2024
Publisher : Universitas Islam Negeri K.H. Abdurrahman Wahid Pekalongan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28918/logiclink.v1i2.9215

Abstract

Institut Widya Pratama (IWIMA) continuously strives to produce high-quality graduates. To provide better opportunities for its graduates, IWIMA routinely organizes job fairs to connect job seekers with potential employers. One of the challenges in conducting these events is the registration and data management process for job seekers. To address this issue, IWIMA developed a job fair registration information system for job applicants. A comprehensive testing process is essential to ensure the system functions effectively and efficiently. One of the techniques that can be used for system testing is equivalence partitioning. This technique ensures that the input and output align with the application design by applying predefined testing scenarios. The research stages include designing the testing process, conducting the tests, recording the results, and evaluating the outcomes. In the initial research stage, the testing design is developed by generating use cases, test parameters, test partitions, test data, and test cases. Subsequently, from the system testing conducted across seven test cases, the results indicate that the information system operates effectively as expected. However, based on the evaluation and analysis, it is recommended to further enhance the quality of the information system. These recommendations can serve as a reference for future system development.
Artificial Intelligence and the Transformation of Digital Services in Islamic Banking: A Case Study of Bank Syariah Indonesia Luqman Syakirunni’am; Zohaib Hassan Sain; Syauqie Muhammad Marier; Syukron Jamil
LogicLink Vol. 2 No. 1, Juni 2025
Publisher : Universitas Islam Negeri K.H. Abdurrahman Wahid Pekalongan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28918/logiclink.v2i1.10707

Abstract

Digital transformation in the Islamic banking sector is necessary in the era of technological disruption. However, implementing artificial intelligence (AI) still faces challenges, especially in non-metropolitan areas. This research aims to explore the role of AI in transforming digital services at Bank Syariah Indonesia (BSI) Semarang Branch, while emphasizing its compliance with maqashid Sharia principles. This research uses a phenomenological qualitative approach through in-depth interviews, participatory observation, and analysis of internal documentation of employees and customers. The main findings show that AI significantly improves service efficiency through digital onboarding, chatbot “Hasanah Assistant”, and a pattern-based automated transaction system. This innovation is considered to accelerate services while maintaining the principles of property protection (hifzh al-mal) and life (hifzh al-nafs). However, challenges arise regarding AI’s limited adaptation to local cultural contexts, senior employees’ resistance to digitalization, and customers’ limited digital literacy. This highlights the importance of a hybrid approach between technology and humanization of Islamic banking services. The uniqueness of this research lies in its focus on regional branches that have not been widely explored in the academic literature, as well as its contribution to expanding the understanding of AI as a strategic medium, not just an automation tool. The implications of this research emphasize the need for an efficient, ethical, and inclusive AI system design, oriented towards Islamic values. The research suggests a participatory digital transformation strategy that is adaptive to local values and consistent with maqashid Sharia to ensure the sustainability of technological innovation in Islamic banking.
The Ethical Aspects of Applying Artificial Intelligence in the Healthcare System Yuliana
LogicLink Vol. 2 No. 1, Juni 2025
Publisher : Universitas Islam Negeri K.H. Abdurrahman Wahid Pekalongan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28918/logiclink.v2i1.10710

Abstract

Artificial intelligence is abundant nowadays, including healthcare practice. However, there are ethical aspects of applying artificial intelligence (AI) in healthcare practice. The paper aims to describe the ethical aspects of applying artificial intelligence (AI) in the healthcare system. This paper is a narrative literature review. Literature was taken from Science Direct, PubMed, and Google Scholar. Selected journals were published within 5 years. AI-based algorithms commonly work based on the provided data. Nevertheless, the variations among patients’ conditions, insurance records, and diagnostic results are wide. Some data such as social determinants might not be seen by the AI system. This kind of data determines the biases in data sets and health disparities. Therefore, the algorithms should be well designed to minimize bias and align with the ethical dimensions. Predictive algorithms might be used to predict care decisions and outcomes. Incorrect diagnosis might be developed while using AI tools directly without expert opinion. In conclusion, the ethical dimensions of applying AI in the healthcare practice are minimizing bias, determining the variations of social conditions among patients, and using expert opinion other than relying on AI only.
Identifikasi Citra Jenis Rempah-Rempah Menggunakan Arsitektur RestNet50 Sari, Christy Atika; Pradana, Luthfiyana Hamidah Sherly; Rachmawanto, Eko Hari
LogicLink Vol. 2 No. 1, Juni 2025
Publisher : Universitas Islam Negeri K.H. Abdurrahman Wahid Pekalongan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28918/logiclink.v2i1.10713

Abstract

Indonesia has various types of spices used in culinary and traditional medicine. However, changes in lifestyle and modernization have made it increasingly difficult for the younger generation to recognize spices directly. Conventional identification still relies on manual observation which is prone to errors. Therefore, an artificial intelligence-based solution is needed to improve the accuracy of spice classification. This study applies the Convolutional Neural Network (CNN) method with the ResNet50 architecture, which is part of Deep Learning, to classify digital images of spices. This model utilizes Computer Vision to recognize visual patterns, Transfer learning to improve training efficiency, and Data Augmentation Techniques such as rotation, flipping, and scaling to improve model robustness. Evaluation using Confusion Matrix was carried out with various dataset division scenarios, including ratios of 90:10, 80:20, 70:30, 60:40, and 50:50. The experimental results showed that the model with a ratio of 90:10 provided the best accuracy, reaching 98.04%, with high precision, recall, and F1-score. In conclusion, the CNN method with ResNet50 has proven effective in identifying spices based on digital images. Further development can be done by adding variations of datasets and exploring other Deep Learning architectures to improve model performance.
Analisis Cluster Hierarki Pada Tingkat Kemiskinan di Provinsi Sumatera Utara tahun 2023 Bagus Candra Setiawan; Arum Nilawati; Rahmad Ferdian; Raihan Aditya Saputra; Yemima Putri Santoso; Muhammad Riefky
LogicLink Vol. 2 No. 1, Juni 2025
Publisher : Universitas Islam Negeri K.H. Abdurrahman Wahid Pekalongan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28918/logiclink.v2i1.10762

Abstract

Poverty is one of the problems that is still a priority in social and economic development in Indonesia. In 2023, North Sumatra Province had a poverty rate of 8.15% with a total of 1,239.71 thousand poor people. The condition of poverty by district/city in North Sumatra Province is very diverse. The purpose of this study is to group districts/cities in North Sumatra Province in 2023 based on poverty rate indicators using hierarchical clusters. The data used in this study is secondary data with four poverty variables from 33 districts/cities in the North Sumatra Province in 2023. The results of the analysis contained 3 clusters with the number of members in clusters 1, 2, and 3. Suggestions for the North Sumatra Provincial Government need to formulate adaptive and specific policies based on the characteristics of each regional cluster prioritizing high poverty problem areas through strengthening access to education, health, and productive economic development. In addition, intensive cooperation between regions within the same cluster should be developed to support information exchange, joint empowerment programs, and local economic development synergies to improve the effectiveness of interventions and the welfare of the community in a sustainable manner.
Analisis Komparatif Kemampuan Kecerdasan Buatan dalam Menganalisis Konten Media Sosial: Studi Kasus Grok (XAI), ChatGPT, dan Gemini Herdian Nugroho, Bernardus
LogicLink Vol. 2 No. 1, Juni 2025
Publisher : Universitas Islam Negeri K.H. Abdurrahman Wahid Pekalongan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28918/logiclink.v2i1.10819

Abstract

This study aims to compare the capabilities of three artificial intelligence (AI) platforms—Grok (XAI), ChatGPT (OpenAI), and Gemini (Google)—in analyzing social media content, specifically on Twitter (X). A descriptive qualitative method with a case study approach was employed. Three types of content—text, images, and videos—were used as test materials. Each AI platform was tasked with analyzing sentiment, context, and meaning embedded within the content. The results indicate that Grok excels in direct integration with Twitter, enabling real-time contextual reading of posts and interactions. In contrast, ChatGPT and Gemini demonstrated superior performance in in-depth analysis and multimodal interpretation when provided with explicit input. This study provides early insights into the comparative strengths and limitations of AI platforms for social media content analysis, offering practical recommendations for researchers and practitioners in selecting appropriate AI tools for digital public opinion analysis.
Analisis Komparatif Efisiensi Memori dan Waktu Komputasi pada 8 Algoritma Sorting menggunakan C++ Irfan Ali, Muhammad; Rangga Dzikri Fardiarsyah; Lukman Shodik; Fadilah Zahra Dwi Kinanti; Imam Prayogo Pujiono
LogicLink Vol. 2 No. 1, Juni 2025
Publisher : Universitas Islam Negeri K.H. Abdurrahman Wahid Pekalongan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28918/logiclink.v2i1.10868

Abstract

This study aims to analyze the efficiency of computation time and memory allocation of eight sorting algorithms (Bubble Sort, Selection Sort, Insertion Sort, Quick Sort, Merge Sort, Heap Sort, Counting Sort, and Radix Sort) implemented in C++ programming language. The test dataset consists of three size categories: 100, 1,000, and 10,000 elements, randomly generated with values between 1 and 99. This range was chosen so that the tests are conducted under conditions of limited value and contain a lot of duplication, in order to support consistent efficiency evaluation. The research method involved generating datasets using the random array function, measuring execution time in nanoseconds, and monitoring memory usage through the WorkingSetSize metric. Each algorithm was tested three times on each category of data to ensure consistency of results. The results showed that Heap Sort achieved the fastest execution time on small data (101,266 nanoseconds for 100 elements), Counting Sort and Radix Sort excelled on medium data, while Counting Sort delivered the best performance on large data (1,483,166 nanoseconds for 10,000 elements). Counting Sort also demonstrated stable memory efficiency compared to the other algorithms, whereas Bubble Sort consistently exhibited the poorest performance across all scales. The research conclusion recommends Heap Sort for small-scale data, Counting Sort and Radix Sort for medium-scale data, and Counting Sort for large-scale data. The findings provide practical guidance for developers in selecting algorithms according to data scale and resource availability.

Page 2 of 3 | Total Record : 22

 1   2   3 

Filter by Year

2024 2025


Reset
Filter By Issues
All Issue Vol. 2 No. 1, Juni 2025 Vol. 1 No. 2, December 2024 Vol. 1 No. 1, June 2024