Garuda - Garba Rujukan Digital

PERCEPTION AND MOTIVATION OF STUDENTS TOWARDS PROJECT-BASED LEARNING (PJBL) IN LANGUAGE LEARNING Indrayani, Septina; Farizka Humolungo; Dewi Kurniawati
Epigram Vol 21 No 2 (2024): Epigram Volume 21 Nomor 2 Tahun 2024
Publisher : Politeknik Negeri Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32722/epi.v21i2.7197

Project-based learning (PjBL) has emerged as a prominent approach in vocational education, particularly in language learning, as it aligns closely with the challenges of the professional world. This study investigates the perceptions and motivations of vocational students toward the implementation of PjBL in their language courses. The purpose of this study is to analyze students' experiences with PjBL, identify the factors influencing their motivation and engagement, and propose recommendations for improving the effectiveness of PjBL in vocational education. A mixed-method approach was employed, combining quantitative data from structured questionnaires completed by 170 students across three semesters and qualitative insights from Focus Group Discussions (FGD). The sampling technique ensured representation from students with varying levels of experience with PjBL. The findings show that in general, students perceive PjBL positively, recognizing its role in enhancing their understanding of course material and developing critical skills such as communication and collaboration. However, challenges such as inconsistent instructions from lecturers, tight deadlines, and a lack of focus on the learning process in assessments were noted as significant barriers to engagement and motivation. PjBL holds substantial promise for improving language learning outcomes in vocational education. By addressing instructional consistency, providing flexible timelines, and emphasizing formative assessments, PjBL can be further optimized to better prepare students for the demands of their future careers.

Pendampingan Pembelajaran Bahasa Inggris Berbasis MOOC di Sekolah Terbuka Madani Depok Indrayani, Septina; Sukaesih, Ina; Hasyim, Nur; Kurniawati, Dewi; Humolungo, Farizka; Sari Safitry, Tantri
Mitra Akademia: Jurnal Pengabdian Masyarakat Vol 8 No 1 (2025): Mitra Akademia: Jurnal Pengabdian Masyarakat
Publisher : Pusat Penelitian dan Pengabdian kepada Masyarakat (P3M) Politeknik Negeri Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32722/mapnj.v8i1.7103

Madani Open School Depok is an alternative educational institution serving junior and senior high school students who are unable to attend regular schooling. This school faces various challenges, such as limited access to technology, low student motivation, minimal learner engagement, and a lack of teaching materials that support effective learning, particularly in English subjects. To address these issues, this community service activity aims to develop and assist in the implementation of a Learning Management System (LMS) based on Massive Open Online Courses (MOOC) to improve the quality of English language learning. The method used is Service Learning (SL), which involves the direct application of academic knowledge by lecturers and students in the community. The activity consists of five main stages: MOOC socialization, instructional content design, training and mentoring in LMS use, monitoring of student learning progress, and the development of an integrated evaluation system. The results of the activity indicate that an LMS based on MOOC provides an effective solution for improving access, quality, and participation in learning. Additionally, the school now has a digital learning system that supports attendance tracking, assignment submission, and the provision of learning materials that can be accessed flexibly by students. Keywords—LMS, MOOC, English Language Learning, Open School Abstrak Sekolah Terbuka Madani Depok merupakan lembaga pendidikan alternatif yang melayani siswa SMP dan SMA yang tidak dapat bersekolah di jalur reguler. Sekolah ini menghadapi berbagai tantangan, seperti keterbatasan akses teknologi, rendahnya motivasi belajar siswa, minimnya keterlibatan peserta didik, dan kurangnya materi ajar yang mendukung pembelajaran efektif, khususnya dalam mata pelajaran Bahasa Inggris. Untuk menjawab permasalahan tersebut, kegiatan pengabdian ini bertujuan mengembangkan dan mendampingi penerapan Learning Management System (LMS) berbasis Massive Open Online Courses (MOOC) guna meningkatkan kualitas pembelajaran Bahasa Inggris. Metode yang digunakan adalah Service Learning (SL), yang melibatkan penerapan keilmuan oleh dosen dan mahasiswa secara langsung di tengah masyarakat. Kegiatan terdiri dari lima tahapan utama: sosialisasi MOOC, perancangan konten ajar, pelatihan dan pendampingan penggunaan LMS, pemantauan progres belajar siswa, serta penyusunan sistem evaluasi terintegrasi. Hasil kegiatan menunjukkan bahwa LMS berbasis MOOC memberikan solusi efektif dalam meningkatkan akses, kualitas, dan partisipasi pembelajaran. Selain itu, sekolah kini memiliki sistem pembelajaran digital yang mendukung absensi, pengumpulan tugas, serta penyediaan materi ajar yang dapat diakses secara fleksibel oleh siswa.Kata kunci—LMS, MOOC, Pembelajaran Bahasa Inggris, Sekolah Terbuka

Peningkatan Kualitas Pembelajaran Bahasa: Implementasi Media Ajar Digital di Sekolah Terbuka Madani, Kota Depok Indrayani, Septina; Sukaesih, Ina; Edel, Eky Erlanda; Humolungo, Farizka; Safitry, Tantri Sari Safitry; Kurniawati , Dewi
Mitra Akademia: Jurnal Pengabdian Masyarakat Vol 7 No 2 (2024): Mitra Akademia: Jurnal Pengabdian Masyarakat
Publisher : Pusat Penelitian dan Pengabdian kepada Masyarakat (P3M) Politeknik Negeri Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32722/mapnj.v7i2.6813

Technology is advancing at a quick pace, which means that we need experienced teachers who can create engaging, digital-based lesson plans in addition to being skilled at teaching to students' needs. In order to improve the proficiency of the teachers at the Madani Middle and High School integrated schools in Depok, a community program based on the Science and Technology Implementation Service was implemented. The outcomes of this community service, which combined theory and practice, demonstrated that training in creating instructional media using the Prezi application, particularly for language learning, was able to enhance teachers' proficiency in using technology-based teaching tools. Keywords - digital competence, teaching media, Prezi Abstrak Seiring dengan perkembangan teknologi yang pesat, dibutuhkan guru berpengalaman yang dapat membuat rencana pembelajaran berbasis digital yang menarik serta terampil dalam melakukan pembelajaran yang sesuai kebutuhan siswa. Dalam rangka meningkatkan kemahiran para pengajar di sekolah terpadu SMP dan SMA Madani di Depok, dilaksanakan program Pengabdian Penerapan Iptek berbasis Masyarakat (PPIBM). Hasil dari pengabdian kepada masyarakat yang menggabungkan teori dan praktik ini menunjukkan bahwa pelatihan pembuatan media pembelajaran dengan menggunakan aplikasi Prezi khususnya untuk pembelajaran bahasa mampu meningkatkan kemahiran guru dalam menggunakan perangkat pengajaran berbasis teknologi. Kata Kunci - kemahiran digital, media ajar, Prezi

POPULAR OR POPULER? COMPARING AI AND HUMAN TRANSLATION OF NONCE WORDS IN WICKED’S INDONESIAN SUBTITLES Abdillah, Taufik Eryadi; Fanny Puji Rakhmi; Ina Sukaesih; Farizka Humolungo; Septina Indrayani
CALL Vol. 7 No. 2 (2025): CALL
Publisher : Universitas Islam Negeri Sunan Gunung Djati

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/call.v7i2.51205

This study investigates the process of translating nonce words in Indonesian subtitles of the musical fantasy film Wicked, focusing on the challenges posed by highly creative and humorous expressions that remain underexplored in audiovisual translation studies. Set in the magical land of Oz, the film incorporates playful and imaginative expressions like Galindafied and braverism, which present unique translation difficulties. The study employs content analysis to compare human-generated subtitles from Apple TV with AI-generated subtitles produced by ChatGPT. While both human and AI translations tend to convey the general meaning of the nonce words, they fail to capture the stylistic and humorous nuances present in the source language. Human translations can be literal or omit creative expressions entirely, suggesting that neither method fully encapsulates the inventiveness and playfulness of the source language. This study underscores the importance of developing more adaptable strategies for translating highly creative audiovisual texts.

Investigating Romantic-Tone Transfers in the Human Translation Compared to AI Subtitling: A Case Study of the Dilan 1990 Film Rakhmi, Fanny Puji; Abdillah, Taufik Eryadi; Humolungo, Farizka; Sukaesih, Ina; Indrayani, Septina
Journal of Language and Literature Studies Vol. 6 No. 1 (2026): March
Publisher : Lembaga Penelitian dan Pemberdayaan Masyarakat (LITPAM)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36312/jolls.v6i1.3570

This paper examines how romantic tone is carried across languages in film subtitling, where text must be brief, well-timed, and easy to read. We focus on Dilan 1990, a popular Indonesian teen romance known for playful, indirect lines that rely on inference and rhythm. Today, many studios generate first-pass subtitles with neural machine translation and then rely on human post-editors to refine style and timing. We ask how well AI handles this kind of subtle, affect-rich dialogue and where human editing still adds value. We compare 24 well-known lines addressed by Dilan to Milea in two versions: the official English subtitles and outputs produced by ChatGPT under the same line-level constraints. Using a practical set of translation techniques (e.g., modulation, compression, adaptation) and a tone rubric (playfulness/coyness, warmth, persona/rhythm), we perform a line-by-line analysis. The human subtitles tend to keep implicature and pace through concise, idiomatic choices that fit character and reading speed. The AI versions are fluent but more likely to explain subtext or lengthen the line, which can blunt teasing and shift the scene’s mood. AI can match human choices when the source line is already compact and direct. Where meaning depends on ellipsis, metaphor, and micro-timing, human post-editing remains crucial. We close with practical guidelines for NMT-plus-post-editing workflows in romance subtitling.

ANALYSIS OF FLOUTING MAXIMS AND CONVERSATIONAL IMPLICATURE TRANSLATION STRATEGIES IN ONE PIECE (LIVE-ACTION SERIES 2023) SUBTITLE Roselin Ahmadi; Farizka Humolungo; Fanny Puji Rakhmi
LinguAmerta Vol. 1 No. 2 (2024): Vol. 1 No. 2 2024
Publisher : Politeknik Negeri Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32722/jla.v2i1.7251

This study examines the flouting of Cooperative Principle maxims in conversational implicature and Gottlieb’s translation strategies used in the subtitles of One Piece (Live-Action Series 2023). This study aims to identify which conversational maxims are flouted, Gottlieb’s translation strategies employed, and how these implicatures are translated into the target language. This study used a qualitative descriptive method with document analysis as the data collection technique. The results showed that all four conversational maxims were flouted, and some implicatures flouted multiple maxims simultaneously. Most implicatures were translated into the same implicature in the target text, while a small number were translated explicitly and have undergone explicitation. The most frequently used translation strategy was Paraphrase, followed by Condensation, Transfer, Dislocation, Decimation, Expansion, and Deletion. Most of the implicatures translated explicitly use the Paraphrase strategy to ensure that the utterances are clear and align with the conversation.

QUALITY OF CONCEPTUAL METAPHOR IN AUTOMATIC TRANSLATION FEATURE OF POLITICAL HEADLINES BY TEMPO.CO AND KOMPAS TV ON X Aulia Nurani Fitrohati; Farizka Humolungo
LinguAmerta Vol. 1 No. 2 (2024): Vol. 1 No. 2 2024
Publisher : Politeknik Negeri Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32722/jla.v2i1.7254

This study examines the types of conceptual metaphor of political news headlines of @tempo.co and @KompasTV by automatic translation feature on X using the theory of Lakoff and Johnson (2003). This study aims to analyze the types of conceptual metaphor, identify techniques of translation, and assess quality of translation consisting of accuracy, acceptability, and readability. A qualitative method with a descriptive approach was applied, using content analysis and focus group discussions (FGD) as data collection techniques. The results reveal that there are 100 data containing conceptual metaphor on political news headlines of @tempodotco and @KompasTV. The three types of conceptual metaphor are structural metaphor, ontological metaphor, and ontological metaphor. The most frequent data is ontological metaphor within fifty-six (56) data followed by the commonly used technique, literal translation. The quality of translation shows the score of accuracy is 2.43, acceptability 2.44, and readability 2.49 which indicates these scores are still less accurate, less acceptable and have severe readability issues, which is due to automatic translation feature on X still has limitations in understanding context, language, and culture.

A comparative evaluation of ChatGPT and human translation of Sundanese cultural terms Ina Sukaesih; Fanny Puji Rakhmi; Farizka Humolungo; Septina Indrayani; Taufik Eryadi Abdillah
Studies in English Language and Education Vol. 13 No. 2 (2026)
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24815/siele.v13i2.1108

This study addresses a gap in low-resource language translation research by comparing how ChatGPT and a human translator render Sundanese cultural terms into English and evaluating both outputs using established translation quality dimensions. A qualitative descriptive-comparative design was used. A total of 109 cultural terms were extracted from the Sundanese short story Jampe Ngimpi, together with their two English versions (human and ChatGPT). A panel of bilingual Sundanese–English raters familiar with Sundanese culture independently assessed each item for accuracy, acceptability, and readability using Nababan’s Translation Quality Assessment rubric (three-point scale), followed by focus group discussions to reach consensus. The data are analyzed by combining numerical averages with brief qualitative explanations of why certain parts are strong or weak based on the three parameters. The findings show differences in performance across translation quality dimensions. ChatGPT records relatively strong results in accuracy (2.5) and acceptability (2.5), while human translators show a slight advantage in readability (2.6), particularly for terms requiring deeper cultural contextualization. ChatGPT performs better with culturally straightforward items that have clear English equivalents but tends to produce literal calques or transfer Sundanese forms with minimal explanation when faced with culturally specific terms, which can reduce clarity and obscure pragmatic meaning. In contrast, human translators more often apply brief glosses, paraphrasing, and descriptive equivalents that preserve cultural meaning while improving reader comprehension. The results indicate that ChatGPT is effective for initial drafting, while human revision remains essential for ensuring cultural accuracy and contextual appropriateness in Sundanese-English translation.

ANALYSIS OF TRANSLATION SHIFTS IN VERB PHRASES AND THE IMPACT ON SINGABILITY AND SENSE IN MAMMA MIA! HERE WE GO AGAIN (2018) Nisrina Firyal Prilandhia; Ina Sukaesih; Farizka Humolungo
Epigram Vol 22 No 1 (2025): Vol. 22 No. 1 Tahun 2025
Publisher : Politeknik Negeri Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32722/epi.v22i1.7969

This study examines translation shifts in verb phrases and their impact on the singability and sense of song lyrics in the subtitles of the musical film Mamma Mia! Here We Go Again (2018), available on the Max streaming platform. Based on Catford’s (1965) theory of translation shifts and Low’s (2017) translation song criteria of singability and sense, this study analyzes how shifts in verb phrase structure affect the musical and narrative integrity of translated lyrics. 18 songs from the film were selected for analysis. The study categorizes the translation shifts into unit, class, structure, and intra- system shifts and evaluates whether these shifts preserve or alter the original meaning and performability of the lyrics. The findings highlight the challenges of subtitle translation in musical films and offer insights for preserving the emotional and musical experience in the target language. Keywords: translation shift, verb phrase, singability, sense, musical film

Investigating Romantic-Tone Transfers in the Human Translation Compared to AI Subtitling: A Case Study of the Dilan 1990 Film Rakhmi, Fanny Puji; Abdillah, Taufik Eryadi; Humolungo, Farizka; Sukaesih, Ina; Indrayani, Septina
Journal of Language and Literature Studies Vol. 6 No. 1 (2026): March
Publisher : Lembaga Penelitian dan Pemberdayaan Masyarakat (LITPAM)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36312/jolls.v6i1.3570

This paper examines how romantic tone is carried across languages in film subtitling, where text must be brief, well-timed, and easy to read. We focus on Dilan 1990, a popular Indonesian teen romance known for playful, indirect lines that rely on inference and rhythm. Today, many studios generate first-pass subtitles with neural machine translation and then rely on human post-editors to refine style and timing. We ask how well AI handles this kind of subtle, affect-rich dialogue and where human editing still adds value. We compare 24 well-known lines addressed by Dilan to Milea in two versions: the official English subtitles and outputs produced by ChatGPT under the same line-level constraints. Using a practical set of translation techniques (e.g., modulation, compression, adaptation) and a tone rubric (playfulness/coyness, warmth, persona/rhythm), we perform a line-by-line analysis. The human subtitles tend to keep implicature and pace through concise, idiomatic choices that fit character and reading speed. The AI versions are fluent but more likely to explain subtext or lengthen the line, which can blunt teasing and shift the scene’s mood. AI can match human choices when the source line is already compact and direct. Where meaning depends on ellipsis, metaphor, and micro-timing, human post-editing remains crucial. We close with practical guidelines for NMT-plus-post-editing workflows in romance subtitling.

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