Claim Missing Document
Check
Articles

Found 35 Documents
Search

Peningkatan Keterampilan Berbahasa dan Kebahasaan Idris, Husni; Destari, Dina; Irawati, Dini; Komariah, Anis; H., Mayang Kharisma; Yulianto, Aditya Dwi; Zatali, M. hasmi; Putri, Nur Amalia; Rahman, Reza
SIMAS: Jurnal Pengabdian Masyarakat Vol 1 No 2 (2023): SIMAS: Jurnal Pengabdian Masyarakat, Mei 2023
Publisher : FTIK UIN Sultan Aji Muhammad Idris Samarinda

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Bahasa merupakan salah satu hal penting dalam komunikasi, baik dalam bentuk lisan ataupun tertulis, verbal ataupun non-verbal. Keterampilan setiap orang dalam menggunakan bahasanya dalam berkomunikasi juga berbeda-beda tergantung kemampuan yang dimiliki tiap individu. Ketika seseorang mengalami kesulitan dalam berbahasa, maka ia juga akan mengalami kesulitan mentransfer atau mengirim pesan kepada lawan bicaranya. Akibatnya, komunikasi menjadi kurang optimal bahkan bisa gagal. Dalam hal ini, komunikasi tidak hanya persoalan penyampaian pesan satu arah, namun juga komunikasi dua arah dengan melibatkan konteks tertentu yang saling dipahami oleh peserta komunikasi. Berkaitan dengan hal tersebut, perlu menjadi perhatian kita semua dalam rangka meningkatkan keterampilan berbahasa dan kebahasaan. Tarigan (2013:1) menyatakan bahwa keterampilan berbahasa mempunyai empat komponen, yaitu 1) keterampilan menyimak (listening skills); 2) keterampilan berbicara (speaking skills); 3) keterampilan membaca (reading skills); dan 4) keterampilan menulis (writing skills).
Application of Internet of Things (IoT) in Modern Livestock Management in New Zealand Destari, Dina; Gomez, Raul; Costa, Bruna; Nampira, Ardi Azhar
Techno Agriculturae Studium of Research Vol. 2 No. 1 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/agriculturae.v2i1.1991

Abstract

This study examines the application of Internet of Things (IoT) technology in modern livestock management in New Zealand. The background of this research is based on the need to increase productivity, efficiency, and sustainability in the increasingly competitive livestock sector. The purpose of the study is to explore the benefits of applying IoT in livestock health monitoring, feed management, as well as the impact of this technology on the environment and sustainability. The research method used is descriptive-qualitative with data collection through interviews, field observations, and secondary data analysis. The results show that the adoption of IoT in large farms increases productivity by up to 20% and reduces operational costs through more efficient feed management. The study also found that infrastructure challenges are a hindrance to IoT adoption in small and medium-sized farms. The conclusion of the study is that IoT has the potential to be a key solution to improve efficiency and sustainability in the livestock sector, but infrastructure support and training are urgently needed to accelerate its adoption across sectors.
Ethics in Artificial Intelligence: A Philosophical Exploration Destari, Dina; Zahir, Roya; Sukoco, Hendro
Journal of Humanities Research Sustainability Vol. 2 No. 2 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jhrs.v2i2.1939

Abstract

Background. Artificial intelligence (AI) has emerged as a transformative technology, bringing unprecedented opportunities and ethical challenges. The growing autonomy of AI systems raises questions about moral responsibility, bias, and social impact, which require a philosophical exploration to address these issues comprehensively. Purpose. This study aims to explore the ethical dimensions of AI by focusing on algorithmic bias, moral responsibility, and social impact. Through a philosophical lens, the research seeks to identify key challenges and propose frameworks to bridge the ethical gaps in AI development and implementation. Method. The research adopts a qualitative approach by analyzing 15 purposively selected academic sources. These include peer-reviewed journal articles, policy reports, and books discussing AI ethics. A conceptual framework was developed to evaluate algorithmic bias, moral responsibility, and social impact, using thematic analysis to synthesize insights from the literature. Results. The findings reveal that algorithmic bias stems from unrepresentative training data, reinforcing historical injustices. Moral responsibility in AI development becomes complex due to the involvement of multiple actors, requiring new ethical frameworks. AI's social impact, particularly on inequality and access, highlights the urgent need for regulations to mitigate negative effects. Case studies in recruitment, healthcare, and criminal justice systems illustrate the real-world implications of these issues. Conclusion. This study underscores the importance of integrating ethical considerations into AI design and deployment. Philosophical perspectives provide valuable insights into addressing algorithmic bias, defining moral responsibility, and understanding social impacts. Future research should focus on empirical studies and the development of global ethical regulations to guide AI use responsibly.
Students’ Perception of Using Google Translate at English Education Department UINSI Samarinda Rizkiatun Aulia; Dina Destari; Anis Komariah
El-Syaker : Samarinda International Journal of Language Studies Vol. 1 No. 1 (2024): El-Syaker : Samarinda International Journal of Language Studies, Volume 1 (Nomo
Publisher : PT. Berkah Smart Academica

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64093/esijls.v1i1.10

Abstract

The translation is the key to accessing the information exchange. Language learners have traditionally relied on dictionaries to understand the meanings of foreign vocabulary in the target language. But now foreign language learners have access to a wide selection of Free Online Resources for Translators (FORT), including machine translation (MT) sites and apps, for example, Google Translate (GT). Therefore, the researcher wants to find out the English students’ perception of GT in helping English students. The researcher wants to conduct the experience of English Education Department students at UINSI Samarinda. The researcher used a mix method research design. The subject of this research was the sixth-semester students of the English education department at UINSI Samarinda. The data were gotten from questionnaires, interviews, and documentation. The findings of this research that students know regarding GT as an MT to translate from one language to another. Students know how to use the GT application correctly by entering the vocabulary they want to translate and then translating manually with considerations regarding grammar, word choice, and so on. Students feel GT is very useful and happy because GT is very helpful, faster, and saves more time. Students consider to translate and use GT to learn pronunciation and add vocabulary or synonyms. Also, translate text from images easily. It showed GT has many advantages in students’ class activities. Despite that, there were also some disadvantages, such as inaccurate translation, lack of grammar, and lack of internet access.
Analysis of Speech Acts in Natasha Berg’s Presentation on ChatGPT: A Pragmatic Examination Drawing From Searle and Yule’s Theory Dian Quini Handayani Ernanto Putri; Dina Destari; Anis Komariah
El-Syaker : Samarinda International Journal of Language Studies Vol. 1 No. 3 (2024): El-Syaker : Samarinda International Journal of Language Studies, Volume 1 (Nomo
Publisher : PT. Berkah Smart Academica

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64093/esijls.v1i3.278

Abstract

As social beings who depend on the relationships of others, human needs communication. In social interactions, not least in education, language is primarily used as a tool. Individuals who experience language difficulties will have difficulty in conveying their thoughts or ideas to others.  As a result, communication becomes less than optimal and sometimes fails. In this case, communication is not just a matter of one-way message delivery, but also involves the exchange of mutually understood contexts so that two-way communication occurs. To get the context of communication and become a competent communicator, pragmatics is necessary and one of the crucial ideas in pragmatics is the concept of speech acts. This research was conducted with the aim of knowing the illocutionary speech acts and knowing the most frequently used acts contained in Natasha Berg's speech about ChatGPT using Searle and Yule's theory. This research used qualitative approach and content analysis as a research method. Following the analysis of illocutionary act of Natasha Berg's speech, the results presented that they were 62 speech utterances contained illocutionary acts. They were thirty-five assertives (56,45%), ten directives (16.12%), nine commisive (14.51%), seven expressive (11.29%) and one declarative (1.61%). The findings indicated that assertive was the most frequently seen illocutionary act during the speech since it provided the audience with factual information related to the facts of the use of ChatGPT in the school environment and its implications for students based on study and also field facts. By analyzing the illocutionary act, accurate communication and comprehension of the aim or purpose can be learned, enabling the intended outcome of communication to be achieved.
Co-Authors Abidin, Zainal Achmad Ruslan Afendi ADITA KUSUMAWATI, ERNA Agnes Tesalonika Yolanda Ahmad Zuhdi Ahmad, Shakila Binti Andriyana, Erni Anis Komariah Ardinal, Eva Arjulayana Arjulayana Astuti, Enny Diah Budi Utami Cakranegara, Pandu Adi Cakranegara, Pandu Adi Clevara, Yayas Costa, Bruna Deliyani, Adinda Dian Quini Handayani Ernanto Putri Djunaedi Djunaedi Ellyawati , Noor Ellyawati, Noor Emy Yunita Rahma Pratiwi Erna Erna Adita Kusumawati Faisal Bin Husen Ismail Fitria Meisarah Frida Utami, Rhisty Gamar Al Haddar Gomez, Raul H., Mayang Kharisma Hartatik Hartatik Hartin Kurniawati Hendy Tannady Hidayat, Noura Rizqyaannisa Ibrahim, Mozart Malik Idris, Husni Inayatul Mutmainnah Indra Perdana Irawan Irawan Irawati, Dini Ismail, Faisal Bin Husen Ismaul Fitroh Isna Kasmilawati Iwan Henri Kusnadi Karyaningsih Karyaningsih Komariah, Anis Loso Judijanto M. Saufi Magdalena Magdalena Marta Kerim Mila Agustiani Mohd Khalid, Halimi Binti Muhamad Rif'an Muhammad Rifai Muhammad Subhan Iswahyudi Nampira, Ardi Azhar Noor Ellyawati Nugroho, Agung Yuliyanto Pratiwi, Vidya Putri, Nur Amalia Rahanra, Nicodemus Rahayu, Vitria Puri Rahman, Reza Reza Reza Rizkiatun Aulia Rostanti Toba S. Sabitha Shunmuga Priya Septin Maisharah K Siti Aisyah Siti Aisyah Hanim, Siti Aisyah Sitti Hadijah, Sitti Solissa, Everhard Markiano Subroto, Desty Endrawati Sudadi Sukoco, Hendro Susi Arijanti Syafruddin Syafruddin Syamsul Arifin Syatria Adymas Pranajaya Syed Abu Bakar, Sharifah Khadijah Binti Titik Haryanti Violin, Vivid Waahib, Achmad Nashrul Widya Noviana Noor Wijayanti, Dwi Wahyu Yulianto, Aditya Dwi Zahir, Roya Zain Ahmad Fauzi Zatali, M. hasmi Zulvia Trinova