Claim Missing Document
Check
Articles

Found 7 Documents
Search

An analysis of speech act in whatsapp La Ode Muhamad Irwin Syawal; Muhammad Ikhwan Mardin; Husna Saleh; M. Noor Fuad; Muhammad As’Ad
Indonesia Berdaya Vol 5, No 2 (2024)
Publisher : UKInstitute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47679/ib.2024774

Abstract

Language is a crucial aspect of our lives, serving as a bridge for communication among individuals. People use language to convey emotions, ideas, desires, and feelings. One platform for communication is WhatsApp. Many people enjoy chatting on WhatsApp, but not all of them grasp the meaning behind each utterance spoken or sent by the speaker or sender. Various linguistic aspects, including speech acts, can be explored on WhatsApp, such as pragmatics, semantics, and sociolinguistics. This study aims to analyze the factors that lead to misunderstandings when performing perlocutionary acts on WhatsApp and how locutionary acts influence perlocutionary acts on the platform. The research findings identify several causes of misunderstandings in the communication process through WhatsApp. Firstly, incorrect punctuation usage contributes to misunderstandings. Secondly, typographical errors are another common factor. Thirdly, incomplete sentences resulting from typing too quickly make it challenging to comprehend the intended message. Fourthly, issues such as poor network connectivity lead to only a fraction of the message reaching the recipient. Additionally, locutionary acts represent the literal meaning of a sentence. The conclusion of this research is the impact of locution on perlocution depends on how effectively locution can convey instructions or meanings of the spoken sentence. If the utterance is not well-understood by the listener, they may not execute or comprehend the intended meaning, leading to perlocutionary acts and miscommunication between the individuals involved.
Optimalisasi Penentuan Bonus Karyawan dengan Sistem Pendukung Keputusan Metode TOPSIS di PT. Elizabeth Hanjaya Siti Nur Asia; M Noor Fuad; Husna Saleh; Muhammad As'ad; Irfan Irfan
Journal Scientific of Mandalika (JSM) e-ISSN 2745-5955 | p-ISSN 2809-0543 Vol. 6 No. 4 (2025)
Publisher : Institut Penelitian dan Pengembangan Mandalika Indonesia (IP2MI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36312/10.36312/vol6iss4pp996-1009

Abstract

PT. Elizabeth Hanjaya is a retail company that provides various fashion products, PT. Elizabeth Hanjaya is a retail company that offers a variety of fashion products such as bags, shoes, accessories, and fashion supplies for men and women. This study uses the Technique for Order Performance by Similarity to Ideal Solution (TOPSIS) method to build a decision support system in determining employee bonus recipients in this company. The purpose of the study is to design a system that can assess the feasibility of receiving employee bonuses based on the TOPSIS method. This method works by choosing an alternative that has the closest distance from the positive ideal solution and the furthest from the negative ideal solution based on geometric principles. The system is designed using Unified Modeling Language (UML) and developed with the PHP programming language. The results of the study show that the assessment system is able to produce accurate decisions. Based on testing with four alternatives, the TOPSIS method determines alternative 1 as the employee who is most eligible to receive a bonus with a final value of 0.675360. In addition, user evaluation results showed a high level of satisfaction, with 92% of respondents giving a "strongly agree" rating.
ANALISIS PENERAPAN MEDIA PEMBELAJARAN BERBASIS KOMPUTER PADA SMK NEGERI 1 KOLAKA MENGGUNAKAN TECHNOLOGY ACCEPTANCE MODEL (TAM) Husna Saleh; Purnamawati; Anas Arfandi; Alimuddin Sa’ban Miru; Abdul Muis Mappalotteng
UNM Journal of Technology and Vocational Volume 7, Issue 2, June (2023)
Publisher : Program Studi S2 Pendidikan Teknologi dan Kejuruan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26858/ujtv.v7i2.2085

Abstract

This study aims to examine the behavior of using e-learning in terms of: (1) the perception of ease of using e-learning (Perceived Ease of Use), (2) the perception of e-learning usefulness (Perceived Usefulness), (3) attitudes in using e-learning (Attitudes toward Using), (4) behavioral intention of using e-learning (Behavioral Intention to Use), and (5) the e learning implementation (Actual Technology Use) in applying computer-based learning media at SMKN 1 Kolaka using the Technology Acceptance Model (TAM) The type of this study is descriptive research. The results of the study indicate that (1) there is a perception of ease of using e-learning (Perceived of Use) in moderate category, (2) there is a perception of e-learning usefulness (Perceived Usefulness) in moderate category, (3) there is an attitude in using e-learning (Attitudes toward Using) with a higher category than other categories, (4) there is a behavioral intention of using e-learning (Behavioral Intention to Use) with a low category compared to the previous level of category, and(5) there is an e-learning implementation (Actual Technology Use) with a low category comparedto the previous level of category.
Rancang Bangun Tong Sampah Cerdas Menggunakan Suara Sebagai Media Informasi Berbasis Arduino Uno Siti Nur Asia; Sofyan Sofyan; Husna Saleh; Muhammad Ikhwan Mardin; M Noor Fuad
Jurnal JEETech Vol. 6 No. 1 (2025): Nomor 1 May
Publisher : Universitas Darul Ulum

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32492/jeetech.v6i1.6108

Abstract

Garbage is one of the problems that we often encounter in the community. One of the factors causing the accumulation of garbage is the lack of public awareness to dispose of garbage in its place. In this problem, it is necessary to have a smart trash can using sound information media which includes Ultrasonic Sensors as distance detectors and trash volume detectors, Servos are used to control the trash can cover, Speakers are used as information media, DFPlayer mini is used as a voice recorder and microcontrollers are used as input data processors from the components used. The trash can cover will open and close automatically by detecting humans at a distance of ≤ 30 cm then detecting the height of the trash from the trash can cover ≤ 10 cm then the trash can is full then the trash can cover will not open and emit information in the form of sound. The method used in this study is the experimental method, namely by designing, assembling, and testing a smart trash can system based on Arduino Uno. Testing was conducted to evaluate the performance of the sensor, and the voice module in responding to the presence of objects in front of the trash can. This research is useful for the community because it can increase awareness in disposing of garbage in its place through an interactive approach in the form of sound, thus supporting the creation of a cleaner and more orderly environment. In addition, scientifically, this research contributes to the development of science and technology, especially in the field of hardware that can be used as a basis for similar innovations in various fields of life.
Clustering Aktivitas Olahraga Siswa untuk Evaluasi Kesehatan Fisik Tamriesfatno, Sigrid; Muh. Ikhwan Mardin; La Ode Muh. Armadi AM; Husna Saleh; Sarni Alex Sandra
Jurnal Teknologi Informasi dan Masyarakat Vol 3 No 1 (2025): Journal of Information Technology and Society (JITS)
Publisher : Universitas Muhammadiyah Bangka Belitung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35438/jits.v3i1.1419

Abstract

Sufficient and regular physical activity plays an important role in supporting students' physical, mental, and social health. However, variations in exercise habits necessitate a more objective evaluation of students' physical activity levels. This study aims to categorize students' sports activities based on duration and distance using the K-Means algorithm, in order to evaluate exercise patterns and provide relevant information for the development of physical fitness coaching programs. Data were collected from 30 students and analyzed using an unsupervised learning approach. The clustering results formed three main clusters: (1) students with low activity, short duration, and high BMI values; (2) students with moderate activity, ideal duration, and normal BMI values; and (3) students with very high activity, long duration, and consistently healthy BMI values. These findings indicate that clustering methods are effective in identifying groups of students based on their exercise habits and can serve as a foundation for fitness improvement strategies. Keywords: Physical Activity, K-Means Clustering, Exercise Habits
Artificial Intelligence in Higher Education: A Systematic Review of Its Impact on Student Learning Nurfauziah; Dian Atmasani; A. Muzawwirah Patawari; Nur Athiyyah Fadhilah; Husna Saleh
Information Technology Education Journal Vol. 4, No. 2, May (2025)
Publisher : Jurusan Teknik Informatika dan Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/intec.v4i2.8311

Abstract

The development of digital technology has made artificial intelligence an integral part of higher education. While its use by university students provides many benefits in supporting academic activities, there are also concerns about its negative impact, especially in relation to academic integrity, dependability, and critical thinking skills. This research aims to identify the positive and negative impacts of the use of artificial intelligence by university students as well as the challenges faced in the context of higher education. The method used was Systematic Literature Review with the PRISMA approach. The total population of articles obtained was 200 articles. Scientific articles were sourced from the Scopus database published between 2022 and 2025. Articles were screened based on inclusion and exclusion criteria and assessed using the CASP (Critical Appraisal Skills Programme) approach, resulting in 19 articles that could be analysed. The results showed that artificial intelligence can improve learning efficiency, strengthen concept understanding, and support student creativity and problem solving. However, there are serious risks such as plagiarism, dissemination of inaccurate information, and decreased motivation to learn independently. Lack of regulation and digital literacy are factors that exacerbate these negative impacts. Therefore, it is important for higher education institutions to urgently create policies for the ethical use of artificial intelligence and provide comprehensive digital literacy training to students. This research provides a scientific basis for policy makers to optimise the benefits of artificial intelligence while mitigating the risks of its use in academia.
Sosialisasi Penerapan QRIS untuk Kemudahan Transaksi pada UMKM di Kotamobagu : Pengabdian Wisnu Nugroho , Chandra; Hairil Akbar; Husna Saleh
Jurnal Pengabdian Masyarakat dan Riset Pendidikan Vol. 4 No. 1 (2025): Jurnal Pengabdian Masyarakat dan Riset Pendidikan Volume 4 Nomor 1 (Juli 2025 -
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jerkin.v4i1.2885

Abstract

Digital transformation in the financial sector encourages MSMEs to adopt cashless payment systems that are more practical, secure, and efficient. The Quick Response Code Indonesian Standard (QRIS) is a digital payment solution that combines various payment methods into a single QR code. This community service activity was carried out in Kotamobagu City with the aim of providing information about the implementation of QRIS to MSME players so that they can understand, access, and use it in daily transactions. The methods used included lectures, discussions, and hands-on practice using QRIS accompanied by intensive guidance so that participants could truly master the technical steps. The results of the activity showed that participants understood the benefits of QRIS in simplifying transactions, increasing financial transparency, and expanding business reach through more modern digital services. With this outreach, it is hoped that MSMEs in Kotamobagu can adapt more quickly to developments in digital financial technology while increasing their competitiveness in the technology-based economy era.