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All Journal Jurnal Sosioteknologi English Review: Journal of English Education Sisforma: Journal of Information Systems Jurnal Penelitian Humaniora Indonesian EFL Journal Linguistic, English Education and Art (LEEA) Journal Applied Information System and Management JITTER (Jurnal Ilmiah Teknologi Informasi Terapan) International Journal of Language Teaching and Education International Journal of Supply Chain Management JUMANJI (Jurnal Masyarakat Informatika Unjani) Jurnal Teknologi dan Informasi Journal Sampurasun : Interdisciplinary Studies for Cultural Heritage Jurnal Informatika Global Jurnal Linguistik Komputasional PROJECT (Professional Journal of English Education) JALL (Journal of Applied Linguistics and Literacy) Abdi Dosen : Jurnal Pengabdian Pada Masyarakat JOINT (Journal of Information Technology Ethical Lingua: Journal of Language Teaching and Literature Budapest International Research and Critics Institute-Journal (BIRCI-Journal): Humanities and Social Sciences Journal of Informatics, Information System, Software Engineering and Applications (INISTA) Jurnal Sinestesia Jurnal Abdimas Bina Bangsa Brilliance: Research of Artificial Intelligence Linguistic, English Education and Art (LEEA) Journal Jurnal Inovasi Masyarakat English Journal Literacy Utama Jurnalistrendi: Jurnal Linguistik, Sastra dan Pendidikan Jurnal Sipakatau Indonesian EFL Journal
Heryono, Heri
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Shifting Reading Habits:: The Role of Digital Resources in Improving Vocabulary for College Students Nur Hidayah, Siti Aisyah; Mulyadi, Natashya; Fadlillah, Muhammad Fathan; Jaufillaili, Jaufillaili; Mulatsih, Devi; Heryono, Heri
International Journal of Language Teaching and Education Vol. 9 No. 1 (2025): International Journal of Language Teaching and Education
Publisher : Universitas Jambi, Magister Program of English Education Department

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22437/ijolte.v9i1.44465

Abstract

Students' reading habits as well as their vocabulary development show gradual changes because of the increased adoption of digital technology. The research investigates digital resource effects on these changes by examining final-year English education students from Universitas Swadaya Gunung Jati Cirebon. A qualitative descriptive research design involved questionnaire and interview data collection methodologies to obtain more accurate and in-depth findings. Students can achieve greater vocabulary development through digital resources, which include mobile apps alongside e-books and online articles, because these resources deliver enhanced reading material accessibility, allowing learners to engage with texts more frequently and in more diverse contexts. The majority of 74% of participants experienced productive vocabulary growth because digital resources help them recognize new words easily and repeatedly in various settings. The survey participants noted that digital resources enabled both better flexibility when reading and increased reading sessions due to the convenience and user-friendliness of such platforms. Therefore, structure common prey-worth resources with curriculum needs to foster improved reading behaviours, which result in higher language advancement for students and support their long-term academic success in English language learning.
DISTANCE LEARNING IN DEVELOPING INDONESIAN MIGRANT WORKERS’ ENGLISH-SPEAKING SKILLS OF PKBM PPI TAIWAN Heryono, Heri; Supri, Ida Zuraida; Astarina, Atri Nadia; Hendar, Hendar; Sujatna, Meita Lukitawati
English Review: Journal of English Education Vol. 13 No. 2 (2025)
Publisher : University of Kuningan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25134/erjee.v13i2.11847

Abstract

This research explores the practices of distance learning in enhancing English speaking skills among migrant workers at the Community Learning Center (PKBM-PPI) in Taiwan. The research purpose is to understand how remote educational strategies are tailored to meet the unique needs of migrant workers, who often face challenges such as irregular work schedules and limited access to educational resources. Using a mixed-methods approach, the study combines quantitative data from pre- and post-course assessments with qualitative insights from participant interviews and instructor feedback. Key findings indicate that the integration of technology, such as mobile learning applications and online discussion forums, significantly improves learners' engagement and speaking proficiency. Additionally, the flexibility of distance learning programs allows workers to balance their educational pursuits with occupational demands. The study concludes that well-structured distance learning initiatives, supported by interactive and accessible content, can effectively develop English speaking skills among migrant workers, contributing to their personal and professional growth. The findings provide valuable insights for educators and policymakers aiming to implement effective language learning programs in similar contexts.
Penyesuaian Konsep Identitas Sosial pada Korpus Ujaran Kebencian, Pendekatan Komputasional Linguistik Pratama, Fauzan Novaldy; Bachari, Andika Dutha; Muttaqin, Zainul; Heryono, Heri; Azizah, Dinda Noor
Jurnal Sosioteknologi Vol. 24 No. 2 (2025): JULY 2025
Publisher : Fakultas Seni Rupa dan Desain ITB

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/sostek.itbj.2025.24.2.10

Abstract

The identification of hate speech must be accompanied by the identification of social identity concepts. This study aims to provide an alternative corpus with text metadata and social identity based on relevant laws that are designed to be implemented in machine learning. Two key questions are addressed: what social identity semantic domains are realized in the corpus, and what are the accuracy measurement results from the corpus? To achieve these aims, the study adopts a mixed-methods approach: qualitative for the first question and quantitative for the second. This research falls under the broader umbrella of computational linguistics, utilizing semantic domain theory and natural language processing. The first approach shows that the corpus only contributes five out of nine formulated domains, dominated by negative (uncategorized), religion, and ethnicity. The second approach indicates suboptimal conditions in the annotation distribution of the corpus, despite an average accuracy rate of over 80%. This condition limits the model’s ability to generalize beyond the information within the corpus, especially regarding social identity categories that are not fully represented. This study differs from previous ones by focusing on data categorization based on more up-to-date legal sources. Future research could elaborate on this work by incorporating new language use concepts aligned with the corpus's original goal to detect hate speech.
Web-Based Design Of Vehicle Management Information System Of Widyatama University Wahyu Wibowo, Ari Purno; Heryono, Heri; Hamdani, Dani
Brilliance: Research of Artificial Intelligence Vol. 4 No. 1 (2024): Brilliance: Research of Artificial Intelligence, Article Research May 2024
Publisher : Yayasan Cita Cendekiawan Al Khwarizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/brilliance.v4i1.3641

Abstract

Vehicle inventory management and data collection information system is a system based on a Management Information System so that it has complete implementation functions that aim to record all vehicles. The main objective of developing this information system is to provide services that are faster, transparent and accurate on the service side of borrowing official vehicles within the Widyatama University environment. In the current vehicle inventory information system, it is not yet computerized and is done manually. The inventory registration information system is expected to be useful for minimizing errors that have occurred so far such as the unclear condition of the vehicle and when the vehicle will return, the design of the inventory information system is expected to produce an inventory information system that can work optimally and efficiently can perform testing services, readiness of drivers and management of motorized vehicles that operate according to the provisions that have been regulated, where the type of service can be adjusted to vehicle test data that is periodic, mutations in (Arrive) / out (booking) can be seen clearly by officers or users, other functions are there are changes to the function and status of the vehicle so that the vehicle will always be available and ready to be used.
Text as a Social Network Analysis Topography And Political Communication In Indonesia Heryono, Heri Heryono; Hamdani, Dani; Purno Wahyu, Ari
Brilliance: Research of Artificial Intelligence Vol. 4 No. 1 (2024): Brilliance: Research of Artificial Intelligence, Article Research May 2024
Publisher : Yayasan Cita Cendekiawan Al Khwarizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/brilliance.v4i1.3645

Abstract

Political communication has a central role in shaping public opinion and political dynamics in Indonesia. This research aims to investigate the role of text in the context of Social Network Analysis (SNA) and political communication in Indonesia. This research combines NLP (Natural Language Processing) text analysis with SNA to understand how texts related to politics can provide insight into the relationship between political figures, political issues, and society. The research methodology involves collecting text data from various sources, such as social media, online news, blogs, and political discussion forums. The text data is then processed, analyzed and modeled with SNA analysis tools and NLP algorithms to identify relationships and communication patterns in a political context. In addition, this research also considers how the sentiments in these texts can influence the dynamics of sociopolitical networks. It is hoped that the results of this research will provide a deeper understanding of how political texts can be used as a tool for SNA analysis, with a focus on the Indonesian context. The findings of this research can be useful for political researchers, communication practitioners, and political decision makers to understand the political dynamics that are developing in the digital era. Apart from that, this research also has implications in understanding how political issues and political figures are understood and perceived by the public in political communication in Indonesia.
NEW-WORD FORMATION AND SOCIAL DISRUPTION ON METAVERSE Simatupang, Ervina CM; Heryono, Heri
English Review: Journal of English Education Vol. 10 No. 3 (2022)
Publisher : University of Kuningan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25134/erjee.v10i3.6722

Abstract

The virtual environments have provided users with varied degrees of digital transformation, despite the fact that users are non-permanent and unconnected. To further assist the digital transition in every element of physical life, the term Metaverse has been coined. It cannot be avoided that language, furthermore linguistics, has involvement to the word framing and word creation within Metaverse. This research is purposed to determine some typical new-word formations or neologisms that impact to the establishment of terminologies within Metaverse. On the other hand, cultural aspect also becomes the concern towards this new universe; since people need to be well-informed in the term of consequence and benefits. The method of the research applied qualitative method and distributional method by Segmenting Immediate Constituents Techniques; which means the technique of dividing a construction of direct elements which form the construction. Three main theories used in this paper are neologism by Kilmer (2020), social disruption by Kumbara et al. (2020) and Metaverse by Mystakidis (2019). The paper puts three different terminologies that are analyzed using linguistic and cultural perspective. Those three words are Persistent Virtual World (PVW), blockchain and NFT that massively arise in the Metaverse terminologies. Based on the analysis, it can be inferred that those terminologies are categorized to morphological and semantic neologism; which also includes abbreviation and broadening. The notion of an immersive Internet as a massive, unified, persistent, and shared realm is at the core of Metaverse.
FLOUTING MAXIM ON SUSI COURT-PROCEEDINGS ANSWER OF FERDY SAMBO CASE Ramadhanti, Novia Zahra; Heryono, Heri
Jurnal Penelitian Humaniora Vol 25, No 2: Agustus 2024
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/humaniora.v25i2.23669

Abstract

This paper is about a pragmatic study of the flouting maxim that appears in the court proceeding of Ferdi Sambo’s maid, Susi. The objectives of this paper are (1) to identify the category of flouting maxims that appear in Susi’s answer to her court proceedings, and (2) to find out what the reason is for the appearance of those flouting maxims that Susi breaks. This research used a descriptive-qualitative approach. In analyzing the data, this study used the theories of Grice, 1975 and Cutting (2002 as reasons theory. This research also used the theories of George Yule, 1996 and Levinson (2013) to support the research. The writer found 25 utterances that flout the four categories of maxims from the source data. Which are, the maxim of quantity, the maxim of quality, the maxim of relevance, and the maxim of manner. The dominant flouting maxims that appear are maxims of quality and quantity, with 40% for quality and 28% for quantity, while the others have the same amount of calculation, which is 16% for the flouting maxim of relevance and 16% for the flouting maxim of manner. There are several reasons why these flouting maxims appear, such as overstatement, understatement, irrelevant statements, and ambiguous statements.
Sistem Artificial Intelligence Deteksi Penyakit THT dan Jantung Menggunakan Forward Chaining dan Image Processing Wibowo, Ari Purno Wahyu; Hamdani, Dani; Heryono, Heri; Pratama, Rizky Fajar
Jurnal Ilmiah Informatika Global Vol. 15 No. 1: April 2024
Publisher : UNIVERSITAS INDO GLOBAL MANDIRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36982/jiig.v15i1.3573

Abstract

Heart disease and ENT (Ear, Nose and Throat) disease are serious can threaten human health and even life, the attacks of these two diseases can come suddenly without us realizing it, the symptoms are similar to ordinary diseases, the aim of this research is created based on AI (artificial intelligence) which is able to provide a quick response when a disease attacks us by looking for signs of physical changes or early symptoms in the body, examples of these symptoms are changes in skin color or finger nails which can indicate the presence of a serious disease, the method used is a combination of two detection methods using forward chaining and the heart disease detection system using the image processing method, the application created is able to detect disease symptoms and measure the level of accuracy of the detection results, so that the patient or doctor is able to measure the severity of the disease, from the experimental results it can be concluded that this system can recognize with an accuracy of above 80%, this application doesn't replace the doctor as a medical expert but is used for recognize early symptoms and carry out  prevention processes  disease becomes more serious.
COLLABORATION FOR THE PRESERVATION OF SUNDANESE DANCE CULTURE IN THE DEVELOPMENT OF DANCE ART CURRICULUM AT LKP BINA LESTARI SUMEDANG Heryono, Heri; Zuraida, Ida; Astarina, Atri Nadia; Hendar, Hendar; Sujatna, Meita Lukitawati
Abdi Dosen : Jurnal Pengabdian Pada Masyarakat Vol. 9 No. 4 (2025): DESEMBER
Publisher : LPPM Univ. Ibn Khaldun Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32832/abdidos.v9i4.3018

Abstract

The Community Service Program (PkM) aims to preserve Sundanese dance culture through the development of a dance arts curriculum at LKP Bina Lestari Sumedang. The background of this activity is the declining interest of the younger generation in traditional dance due to the influence of popular culture and the lack of relevance of the existing curriculum. The methods used include needs analysis, the development of digital-based learning modules, intensive training for educators, cultural campaigns through social media, and strengthening learning infrastructure. The results of the activity show the achievement of the new vision and mission of LKP Bina Lestari, the preparation of a structured curriculum for three levels (beginner, proficient, expert), and the creation of innovative modules that integrate cultural values and digital technology. This program also expands social impact through collaboration with art communities, cultural figures, and the surrounding community. With a collaborative approach and the utilization of science and technology, this activity has succeeded in increasing the awareness, skills, and interest of the young generation in Sundanese dance, while also strengthening local cultural identity amidst the tide of globalization.
CROSS-LANGUAGE PRACTICES AND SPEAKING TECHNOLOGY IN HIGHER EDUCATION FOR STRENGTHENING ENGLISH COMMUNICATION COMPETENCE Ervina CM Simatupang; Heri Heryono; Lilies Youlia Friatin; Bambang Ruby Sugiarto
Indonesian EFL Journal Vol. 11 No. 2 (2025)
Publisher : University of Kuningan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25134/ieflj.v11i2.11877

Abstract

Accomplishment in higher education recently depends on the ability to communicate effectively in English; due to increasingly globalized academic setting. This essay investigates the creative ways that speaking technology and cross-language exercises might be combined to improve students' proficiency in English communication. By utilizing students' current linguistic resources, cross-language practices, which entail the purposeful use of different languages, can promote deeper comprehension and retention of English language abilities. When combined with cutting-edge speaking technology, such AI-driven language learning tools and speech recognition software, these approaches provide a dynamic and engaging means of honing English communication skills. With a focus on practical application in academic and professional contexts, the study investigates the effects of these combined techniques on students' language proficiency. This research is a comparable passage that has been adjusted for the study's setting. The study involved 45 students from different academic disciplines, 60% of whom were female and 40% of whom were male, and used a sequential explanatory mixed-method approach to investigate their views and experiences about cross-language practices in combination with speaking technology. Surveys, pre- and post-speaking evaluations for descriptive analysis, and reflective notebooks for qualitative insights were all used in the data collection process. The study of descriptive data was done using theme analysis. As evidenced by the overwhelmingly favorable response from participants, the data showed that integrating student languages alongside English, backed by speaking technology, dramatically increased their English communication skills.
Co-Authors Alita Gumati Raftinia Andika Dutha Bachari Annisa Amalia Ardian Maha Putra Ari Purno W Ari Purno Wahyu Wibowo Ase Suryana Astarina, Atri Nadia Atri Nadia Astarina Azizah, Dinda Noor Azzahra Amalia Bambang Ruby Sugiarto Chaniago, M Benny Dadang Suganda Daffa Muhammad Ivandharu Damayanti, Elok Dani Hamdani Daniela Putri Tetenaung Deden Novan Setiawan Nugraha Devi Mulatsih Dina Yulia Wijaya Eka Angga Laksana Ervina CM Simatupang Fadlillah, Muhammad Fathan Faiza Hudzaifah Gusti Putri Qadriah Hendar Hendar hendar HENDAR HENDAR Hendar Hendar Hendar Hendar Hendar Hendar, Hendar Hety Nurohmah Hevira Normayanti Ida Zuraida Ida Zuraida Supri, Ida Zuraida Ida Zuraida, Ida Ilham Erdianto Rosadi Imelia Azzahra Jaufillaili . Lilies Youlia Friatin M Benny Chaniago Maya Lisa Aryanti Meita L L Sujatna Meita L Sujatna Meita L. Sujatna Meita L. Sujatna Meita Lukitawati Sujatna Miharsa, Sefina Putri Muhammad Benny Chaniago Muhammad Rifki Fabian Mulyadi, Natashya Nabila, Isma Najla Nazhifah Salma Nani Darmayanti Nasstasya Ilona de Wannal Neneng Susanti Noor H. Jabarullah Nur Hidayah, Siti Aisyah Nurwulan, Galih Rinanda Obsatar Sinaga Pratama, Fauzan Novaldy Pratama, Rizky Fajar Raden Novitasari Ramadhanti, Novia Zahra Robertus Dewa Brata Krisantoaji Ruth Sherly Mitha Uli Grace Sefina Putri Miharsa Simatupang, Ervina CM Siti Mardiana Siti Mardiana Solleil Bellini Almora Suckma Azani Suhendri Sujatna, Meita Susiyanti Susiyanti Tiara Salsabila Fadhilah Uning Kuraesin Vanny Annisa Putri Hendarto Wannal, Nasstasya Ilona de Yeftasedek Silalahi Yuliawati, Susi Zainul Muttaqin Zulfa Rahmadita Rachman Zuraida , Ida