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INFOKUM
Published by SEAN INSTITUTE
ISSN : 23029706     EISSN : 27224635     DOI : -
Core Subject : Science,
Computer Science & IT
The INFOKUM a scientific journal of Decision support sistem , expert system and artificial inteligens which includes scholarly writings on pure research and applied research in the field of information systems and information technology as well as a review-general review of the development of the theory, methods, and related applied sciences. Software Engineering. Image Processing Datamining Artificial Neural Networks
Arjuna Subject : Ilmu Komputer (semua kategori) - Kecerdasan Buatan
Articles 84 Documents
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Search results for , issue "Vol. 10 No. 02 (2022): Juni, Data Mining, Image Processing, and artificial intelligence" : 84 Documents clear
ANALYSIS OF THE USE OF LOCUTIONARY, ILLOCUTIONARY, AND PERLOCUTIONARY SPEECH ACTS IN INDONESIAN LANGUAGE LEARNING AT SENIOR HIGH SCHOOLS Abd. Rahim
INFOKUM Vol. 10 No. 02 (2022): Juni, Data Mining, Image Processing, and artificial intelligence
Publisher : Sean Institute

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Abstract

Actions that take place through the medium of language are called speech acts. In the field of pragmatics, speech acts play a key function. This investigation is concerned with the problem of how students in grade 11 at SMA Tunas Dharma Karawang learn Indonesian from their teachers, specifically focusing on the form and purpose of the teacher's speech actions. This research intends to characterize locutionary, illocutionary, and perlocutionary speech acts as they are used in Indonesian language SMA Tunas Dharma Karawang class XI. Qualitative research methods are used in this study. Instructors and students in Indonesian 11 at SMA Tunas Dharma Karawang constituted the subjects of the study. Methods of gathering information, such as open-ended listening and conversation, making notes, and jotting down observations. The method of data analysis is functionally equivalent. These findings from the study can be characterized as: uncovered utterances featuring locutionary, illocutionary, and perlocutionary speech acts. News, questions, and commands are all examples of locutionary speech acts. Assertive, directive, expressive, commiserating, and declarative illocutionary acts are all examples of speech acts. The effectiveness of perlocutionary speech acts is found.
THE EFFECT OF FINANCIAL LITERACY ON THE FINANCIAL MANAGEMENT OF MSMEs IN THE FOOD AND BEVERAGE SECTOR IN SUBANG DISTRICT Titin Kartini; Rakhamayudhi Rakhamayudhi
INFOKUM Vol. 10 No. 02 (2022): Juni, Data Mining, Image Processing, and artificial intelligence
Publisher : Sean Institute

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Abstract

The purpose of this study is to determine the effect of financial literacy on the financial management of MSMEs in the food and beverage sector in Subang district. The method used in this research is descriptive and verification, the sampling method is purposive sampling. with a total sample of 77 SMEs. The data analysis method used is simple regression analysis. The results of the study stated that there was a positive effect of financial literacy on the financial management of MSMEs in the food and beverage sector in Subang Regency. The magnitude of the effect of financial literacy on financial management is 72%.
APPLICATION OF THE ELGAMAL ALGORITHM TO WEB-BASED TEXT MESSAGE SECURITY Ilham Rizki Ananda; Mhd Furqan; Rakhmat Kurniawan
INFOKUM Vol. 10 No. 02 (2022): Juni, Data Mining, Image Processing, and artificial intelligence
Publisher : Sean Institute

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Abstract

The increasing use of information technology to support human work in various activities related to computers as a medium, so security and privacy issues are a very important aspect of information systems for data, messages and information. Encryption is the best way to protect information and device data. This research aims to produce a chat application using ElGamal Algorithm in text message security. The method used to encrypt the original text message that will be processed by the system so that the encrypted message results appear in the database not in the form of the original text or original message. Where the encryption process goes through many initial processes, namely the generation of keys represented by various numbers, then enter the encryption stage with the process using the public key for the encryption process. For the next stage, namely the decryption stage of the message encryption results so that it can be seen and read by the recipient. The results of this research are: Group Chat that is able to apply the Elgamal cryptographic algorithm in securing communication in the process of inputting messages to the database and displaying messages from the database to the application interface.
EXPLORING MARKET OPPORTUNITIES: THE ROLE OF SEGMENTATION IN INCREASING SALES IN THE FOOD AND BEVERAGE INDUSTRY Gunawan Gunawan
INFOKUM Vol. 10 No. 02 (2022): Juni, Data Mining, Image Processing, and artificial intelligence
Publisher : Sean Institute

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Abstract

This study aims to understand the role of market segmentation in increasing sales of food and beverage products through a qualitative approach. In an increasingly competitive business environment, a deep understanding of consumer characteristics is key to designing effective marketing strategies. The research method used is qualitative with a descriptive approach, where data were collected through in-depth interviews with business actors in the food and beverage sector as well as direct observation of the marketing strategies implemented. The results show that market segmentation in the food and beverage industry is crucial for understanding differences in consumer tastes and needs. By segmenting the market based on demographics, taste preferences, lifestyle, and health aspects, companies can create more suitable products and effective marketing strategies. This approach helps improve consumer satisfaction and loyalty, opens opportunities for product innovation, and reaches new market segments, thus supporting sustainable business growth and company competitiveness.

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