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 
Google Classroom Application: Use and Obstacles in Learning at SMA Negeri 1 Comal Fauziyah, Riska; Riskiana; M. Sugeng Sholehuddin; Hendri Hermawan Adinugraha
LogicLink Vol. 1 No. 1, June 2024
Publisher : Universitas Islam Negeri K.H. Abdurrahman Wahid Pekalongan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28918/logiclink.v1i1.7596

Abstract

This research aims to use the Google Classroom application to learn Istomlearnious Education for class 1 Comal Pemalang Regency. This research uses a qualitative approach. This research uses a type of field research. The primary data sources for this research are Islamic Religious Education Teachers and Class X MIPA 4 Students at SMA Negeri 1 Comal. Secondary data sources in this research are documentation, official archives, books, journals, and other sources related to the title of this research. Data collection techniques in this research are observation, interviews, and documentation. Data analysis in this research uses qualitative data analysis, using an inductive qualitative descriptive method and the Miles Huberman method. The results of this research conclude that using the Google Classroom application in learning Islamic religious education for class X MIPA 4 at SMA Negeri 1 Comal is beneficial in online learning. This research using the Google Classroom application shows that teachers can monitor student learning activities, such as absences, material explanations, and assignment delivery. Supporting factors in implementing learning using Google Classroom are the teacher's readiness to deliver lessons, the teacher's delivery of material well, and adequate infrastructure at SMA Negeri 1 Comal. The inhibiting factor is the problem of a weak internet network for students on the coast or in places far from internet network towers.
ALTERNATIF RANCANG SISTEM PENGAMBILAN KEPUTUSAN UNTUK MENDUKUNG PENYELESAIAN ISU-ISU PERKEBUNAN KELAPA SAWIT Lumbanraja, Pretty Luci; Naomi Elena Lumbanraja
LogicLink Vol. 1 No. 1, June 2024
Publisher : Universitas Islam Negeri K.H. Abdurrahman Wahid Pekalongan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28918/logiclink.v1i1.7667

Abstract

Decision support systems are a concept found in computer science where this concept can make it easier for decision makers to solve problems. It is hoped that this decision support system can help in making decisions on issues and problems that occur in oil palm plantations. The analysis technique for this research is qualitative descriptive using bibliometric results and literature reviews. The scope of the data used is published articles based on searches on the Scopus website. The published articles come from accredited international journals. The tools used in this research are Publish or Perish Version 8, Mendeley and VosViewer. From the results of this research, it was found that the decision-making system can support the resolution of issues, namely, increasing farmers' income, village economic development, regional economic growth (GRDP, income from palm oil importing countries, productivity of the palm oil industry, rural development, employment absorption, reduction poverty, use of fertilizers and pesticides, emissions and pollutants from industrial activities, governance and water needs.
Penerapan Metode Naïve Bayes Classifier Untuk Klasifikasi Sentimen Pada Judul Berita Astuti, Yani Parti; Wibowo, Alrico Rizki; Kartikadarma, Etika; Subhiyakto, Egia Rosi; Sri Winarsih, Nurul Anisa; Rohman, Muhammad Syaifur
LogicLink Vol. 1 No. 1, June 2024
Publisher : Universitas Islam Negeri K.H. Abdurrahman Wahid Pekalongan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28918/logiclink.v1i1.7684

Abstract

News has a major role as a source of information to convey reports on opinions, events, and the latest findings in various aspects of life. News headlines, as an important component, can be a determinant of news content. The sentiment contained in news headlines can be classified using sentiment analysts, as is the case in the online media platform Kompas.TV. News headlines are retrieved using an automated program that utilises the HTML body with the help of NodeJs as the technology for program creation. This research is focused on the application of Naïve Bayes Classifier method to classify sentiment on Kompas.TV news headlines in Semarang City. The results showed an accuracy rate of 91.04%, with a ratio of training data and test data of 90:10. The conclusion of this study is that the Naïve Bayes Classifier method is effective in identifying news headlines with negative sentiment on Kompas.TV, with a precision of 89% and recall of 94%. This finding makes a positive contribution to the understanding of sentiment analysis on news headlines in online media, especially in the context of Kompas.TV news in Semarang City.
CLUSTERING MODEL K-MEANS PADA KASUS ANGKA PUTUS SEKOLAH TINGKATAN SEKOLAH DASAR DI PROVINSI JAWA TENGAH Laila Khoirun Nisa; Tari Fitri Ningsih; Burhanuddin Izzul Salam; Fauzi, Fatkhurokhman; Eny Winaryati
LogicLink Vol. 1 No. 1, June 2024
Publisher : Universitas Islam Negeri K.H. Abdurrahman Wahid Pekalongan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28918/logiclink.v1i1.7793

Abstract

Basic education aims to equip children with the basic skills they need to navigate their lives as individuals, elements of society, elements of citizens and also as human beings, and prepare them for higher education in the future. The case of dropping out of school seems to be a problem that cannot be overcome. The impact of dropping out of school if not managed properly will certainly be detrimental, including having an impact on the quality of resources in the future. Therefore, it is necessary to take action to reduce the dropout rate at the elementary school level. This research was conducted using the K-Means clustering algorithm to find out which districts/cities in Central Java have high, medium, and low dropout rates. The results of clustering using the K-Means algorithm through 3 methods obtained an optimal K value of 3, therefore 3 clusters were formed from all 35 regencies/cities in Central Java, cluster 1 with a tendency for high elementary school dropout rates to be 14 regencies/cities, cluster 2 with a moderate trend of dropout rates from elementary school there are 15 regencies/cities, and cluster 3 with a low trend of dropout rates from elementary school there are 6 regencies/cities.
Peringkasan Dokumen Teks Bilingual Sebagai Reduksi Fitur Untuk Klasifikasi Menggunakan Algoritma K-NN Rahmawan Bagus Trianto; Agus Susilo Nugroho
LogicLink Vol. 1 No. 1, June 2024
Publisher : Universitas Islam Negeri K.H. Abdurrahman Wahid Pekalongan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28918/logiclink.v1i1.7801

Abstract

Summarizing text is a step to extract the essence of a text document with no more than half. Summarizing text has an important role in extracting the core information from a document in a more concise form. Summarizing text documents can be used as feature reduction in classifying text documents because it can reduce features that are considered irrelevant. Text documents are summarized using the Term Frequency-Inverse Document Frequency (TF-IDF) method, then classified using the K-Nearest Neighbor (K-NN) algorithm. One of the disadvantages of the K-NN algorithm is that it is not optimal in classification if the k value is not appropriate, as well as the selection of an inappropriate distance calculation method. By testing various k values ​​and using the Euclidean Distance distance measurement method, you can increase the accuracy of text document classification. Text document summarization using the proposed TF-IDF method is proven to increase when classification is carried out with K-NN. From the research results, it was found that the classification accuracy at the compression rate increased by 50% with a k value of 6 to 8 of 95.33%. This shows that text document summarization as feature reduction has a positive role in the classification process using the K-NN algorithm.
PENERAPAN BUSINESS INTELLIGENCE SYSTEM PADA TRANSAKSI AGEN BRILINK FIANCELLULER Sabilla, Alzena Dona; Yoga, Hendra Tri; Saputro, Heru
LogicLink Vol. 1 No. 1, June 2024
Publisher : Universitas Islam Negeri K.H. Abdurrahman Wahid Pekalongan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28918/logiclink.v1i1.8466

Abstract

Fiancelluler brilink agent is a business engaged in the service sector. The services offered by brilink fiancelluler agents are serving money transfers, cash withdrawals and multipayment payments. This study aims to apply business intelligence to the transaction information system for brilink fiancelluler agents which is implemented in the form of reporting dashboards as a reference for decision making at brilink fiancelluler agents. The method used is FAST (Framework for the Application System Thinking). With stages: scope definition, problem analysis, requirements analysis, logical design and physical design. The results of this study are in the form of a reporting dashboard that contains information about transactions at brilink fiancelluler agents in the form of completed transactions, transaction graphs, transaction details, transaction types, frequently used banks and gender. Testing on the fiancelluler brilink agent system uses 2 methods. First testing with the black box method with 8 tests with no results found errors or the system works according to orders. Both usability methods with 4 aspects of testing namely learnability, flexibility, effectiveness, attitude with 40 respondents. The results obtained from the usability testing method are 84.22% very suitable for use by consumers
SISTEM INFORMASI MANAJEMEN PRODUKSI PADA TOKO KAIN TENUN MOTIVE ID JEPARA BERBASIS WEB Nasikhah, Na’imatun; Noor Azizah; Joko Minardi
LogicLink Vol. 1 No. 1, June 2024
Publisher : Universitas Islam Negeri K.H. Abdurrahman Wahid Pekalongan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28918/logiclink.v1i1.8467

Abstract

At Motive ID, the production management process is still carried out manually, so errors often occur. Difficulties experienced in the production process include the process of determining raw materials, for example, sometimes stock of yarn as the main material in production is difficult to obtain, especially when the price of yarn increases, apart from that, in terms of human resources, there is still a shortage of workers. These problems cause production management to be less effective. Given the problems that occur with Motive ID, the solution to these problems is the Production Management Information System at the Tenun Troso Motive ID Jepara Cloth Store using Web-Based ERP. This solution can consider existing problems such as efficiency and effectiveness in managing the production of goods. The management process can be carried out according to the desired results.
Pengembangan Desain Antarmuka Sistem Informasi Keuangan Kas RT Berbasis Mobile dengan Metode Design Thinking Wibowo, Ari Putra Wibowo; Arief Soma Dharmawan; Muhammad Faizal Kurniawan; Devi Sugianti; Risqiati
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.v1i2.8500

Abstract

This research aims to develop a mobile-based financial information system design for RT Cash, using the design thinking method. The object of this research is RT 06, Kelurahan Kuripan Yosoreko, Kecamatan Pekalongan Selatan, Kota Pekalongan. RT 06 is one of the RTs that has utilized information technology for recording and reporting residents' cash. Currently, the information system used in RT 06, Yosorejo Village is a web-based information system with several user accounts for RT officials, including the RT Chairman, Treasurer, and Secretary. The design thinking method is used because it can be used to explore various possibilities that prioritize the user as the main actor. The stages performed in this research include empathize, define, ideate, prototype, and testing. The research results indicate that the development of this mobile-based financial information system design for RT Cash is acceptable and can be used as a solution for users. Based on the usability testing conducted, all selected respondents were able to complete all test scenarios on the new interface design
Analisis Sentimen Masyarakat Indonesia Terhadap Kebijakan Program Tapera Menggunakan Brand24 Dyah Ratna; Rohmad Abidin
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.v1i2.8736

Abstract

This research analyzes the sentiment of the Indonesian public towards the Housing Savings Program (Tapera) policy using netnography methods and the Brand24 analysis tool. The research method employed is qualitative descriptive with a netnographic approach, examining data from various social media platforms, blogs, videos, forums, news sites, and websites. Data were collected from May 14 to June 13, 2024, and analyzed to identify positive, negative, and neutral sentiments towards the Tapera policy. The results of the study show the dominance of social media as the primary source of public opinion, followed by TikTok and videos. This analysis provides a comprehensive overview of the public's response to the Tapera policy, which can serve as a basis for decision-making and the formulation of more effective policy strategies.
Artificial Intelligence dan Filsafat Ilmu: Bagaimana Filsafat Memandang Kecerdasan Buatan Sebagai Ilmu Pengetahuan Arditya Prayogi; Riki Nasrullah
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.v1i2.8947

Abstract

Artificial intelligence is a concept of implanting knowledge in machines to be able to carry out activities or activities like humans do, which by implanting artificial intelligence, has the aim of helping humans in completing everything that humans cannot do. This understanding then raises the question of whether artificial intelligence then becomes part of science itself. This article is compiled with a qualitative approach based on literature studies assisted by content analysis methods. From the results of the study, it is obtained that artificial intelligence is included in the understanding of the intermediary domain which in principle runs and becomes part of science, both theoretical and empirical. This makes artificial intelligence not only have philosophical implications for epistemological status, but also axiologically and ontologically which are part of the philosophy of science. Not only that, artificial intelligence also requires practical consequences with which artificial intelligence becomes part of science itself

Page 1 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