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All Journal ACITYA Journal of Teaching & Education Attractive : Innovative Education Journal Jurnal Manajemen dan Organisasi Review (MANOR) Anglophile Journal EPIGRAM (e-journal) Jurnal Ekonomi, Bisnis dan Manajemen NUSANTARA: Jurnal Pengabdian Kepada Masyarakat JURNAL SAINS DAN TEKNOLOGI MARITIM Sejahtera: Jurnal Inspirasi Mengabdi Untuk Negeri Inspirasi Dunia: Jurnal Riset Pendidikan dan Bahasa Perigel: Jurnal Penyuluhan Masyarakat Indonesia UNNES International Conference on ELTLT Sinar Dunia: Jurnal Riset Sosial Humaniora dan Ilmu Pendidikan Jurnal Informasi Pengabdian Masyarakat Sintaksis: Publikasi Para Ahli Bahasa dan Sastra Inggris International Journal of Educational Development International Journal of Multilingual Education and Applied Linguistics Journal of New Trends in Sciences Logistics and Supply Chain Insights Shipping and Transport Management Journal
Abimanto, Dhanan
Universitas Maritim AMNI Semarang
Agriculture, Biological Sciences & Forestry Arts Humanities Astronomy Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Mechanical Engineering Public Health Social Sciences Transportation Other

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The Role of Leadership, Motivation, Work Discipline, and Compensation in Improving Employee Performance at PT Kereta Api Indonesia (Persero) Daop IV Semarang Aditya Catur Siwi; Dhanan Abimanto; Adenanthera Lesmana Dewa
Shipping and Transport Management Journal Vol. 1 No. 2 (2025): November : Shipping and Transport Management Journal
Publisher : Indonesian Maritime Researchers and Lecturers

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65428/sigma.v1i2.61

Abstract

This study aims to analyze the significant role of leadership, motivation, work discipline, and compensation in improving employee performance at PT Kereta Api Indonesia (Persero) Daop IV Semarang. This research adopts a quantitative associative approach, providing a clear understanding of the key factors that influence employee performance. Data were collected through a Likert-scale questionnaire, which was distributed to 80 respondents who are permanent employees of Daop IV Semarang. The data analysis was carried out using SPSS version 26, which included validity and reliability tests, as well as multiple linear regression, t-test, F-test, and the coefficient of determination (R²). The results reveal that leadership, motivation, work discipline, and compensation all have a positive and significant impact on employee performance. Among these variables, motivation was found to be the most dominant factor influencing performance. This finding suggests that fostering higher motivation and effective leadership can significantly enhance employee performance. This research provides practical implications for PT KAI management to enhance productivity through strengthening discipline culture, implementing fair compensation systems, and promoting participative leadership styles.
GENERATIVE AI PROMPT ENGINEERING FOR READABILITY LEVEL ADJUSTMENT OF ENGLISH FOR TRANSPORTATION TEXTS FOR NOVICE STUDENTS Dhanan Abimanto; Wasi Sumarsono
Epigram Vol 23 No 1 (2026): Vol. 23 No. 1 Tahun 2026
Publisher : Politeknik Negeri Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32722/epi.v23i1.8317

Abstract

The integration of generative artificial intelligence (AI) into English for Specific Purposes (ESP) instruction opens new possibilities for adapting authentic materials to meet the needs of novice learners. This study examines the effectiveness of different prompt engineering strategies in modifying the readability level of authentic English for Transportation texts while preserving essential domain-specific technical vocabulary. Five authentic texts drawn from the transportation and logistics domain, including port news articles, logistics manuals, maritime safety regulations, cargo handling procedures, and shipping route reports, served as source materials. Three types of prompts were applied to a generative AI tool (ChatGPT): Prompt A (a general simplification command), Prompt B (a CEFR A2-targeted rewriting command), and Prompt C (a structured prompt specifying CEFR A2 level and explicit instruction to retain all technical transportation terms). Readability was measured using the Flesch Reading Ease (FRE) formula, and technical term retention was evaluated through systematic lexical analysis. Results demonstrated that the original texts averaged an FRE score of 24.88 (Very Difficult), while Prompt A, Prompt B, and Prompt C produced average FRE scores of 50.18, 65.32, and 63.74, respectively. Notably, Prompt C achieved a 100% technical term retention rate, compared to 20% for Prompt A and 56% for Prompt B. The findings confirm that detailed, structured prompts specifying the target language proficiency level and vocabulary preservation requirements yield the most pedagogically appropriate ESP materials for vocational students at the beginner level. This study offers practical implications for ESP instructors seeking to leverage generative AI in developing teaching modules and course books for transportation programs.
Beyond the 'Right Answer': A Synthesis of Process-Oriented and Authentic Assessment in English Language Education Dhanan Abimanto; Rahayu Puji Haryanti
Epigram Vol 22 No 2 (2025): Vol. 22 No. 2 Tahun 2025
Publisher : Politeknik Negeri Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32722/epi.v22i2.7988

Abstract

Assessment in English Language Teaching (ELT) is at a critical juncture, moving away from traditional, product-focused evaluation towards more holistic, learner-centered paradigms. This article synthesizes conceptual and empirical literature to argue for an integrated assessment framework grounded in sociocultural learning theory. Traditional assessment methods, often characterized by standardized tests and factual-recall questions, promote a narrow conception of learning, create negative washback effects, and can perpetuate systemic inequities. In response, this article examines an alternative paradigm rooted in Assessment for Learning (AfL), which emphasizes process-oriented, authentic, and performance-based approaches. A systematic review of the literature was conducted, focusing on key pillars of alternative assessment, including performance-based tasks, portfolio assessment, and the mediational roles of feedback, interaction, and scaffolding. The findings indicate that these alternative methods, when unified under a Vygotskian framework of the Zone of Proximal Development (ZPD), are more effective at fostering communicative competence, critical thinking, and learner autonomy. The discussion addresses the pedagogical implications of this framework across the four language skills, confronts the significant implementation challenges, including the need for enhanced teacher assessment literacy and the reality of standardized testing, and considers the ethical dimensions of assessment. The article concludes that a thoughtful integration of process and authentic assessment is not merely a pedagogical choice but a necessary step toward empowering students as confident, lifelong language learners.
Integrasi Bioinformatika dan Farmakogenomik untuk Merancang Terapi Individualisasi pada Pasien dengan Resistensi Obat Tuberkulosis Dharmika Pranidhi; Dhanan Abimanto
Journal of New Trends in Sciences Vol. 1 No. 4 (2023): November : Journal of New Trends in Sciences
Publisher : CV. Aksara Global Akademia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59031/jnts.v1i4.768

Abstract

Drug-resistant tuberculosis (TB) is an escalating global health issue, particularly with the rise of multidrug-resistant (MDR-TB) and extensively drug-resistant TB (XDR-TB), which complicate treatment and control efforts. Resistance to both first-line and second-line drugs weakens the effectiveness of standard WHO-recommended therapies, while alternative drugs can cause severe side effects and reduce patient adherence. This study aims to explore the integration of bioinformatics and pharmacogenomics in supporting personalized TB treatment to improve therapeutic success and reduce the risk of further resistance. The research employed a laboratory-based experimental design with a bioinformatics approach, involving TB patients with clinical evidence of drug resistance. Clinical samples were analyzed through whole genome sequencing to identify gene mutations associated with resistance, followed by pharmacogenomic mapping to predict pharmacological responses based on patients’ genetic variations. The results revealed several specific gene mutations consistently linked to resistance and produced individualized therapeutic recommendations that were more targeted than standard protocols. Effectiveness evaluation demonstrated that genome-based personalized therapy yielded higher treatment success rates, faster recovery times, and lower rates of subsequent resistance. These findings highlight the significant potential of precision medicine in TB management, particularly for resistant cases that are difficult to treat with conventional approaches. In conclusion, the integration of bioinformatics and pharmacogenomics plays an essential role in strengthening TB treatment strategies through a personalized, adaptive, effective, and sustainable approach. Nevertheless, its implementation still faces challenges such as high costs, limited infrastructure, and the need for clear regulations regarding the use of patients’ genomic data.
Co-Authors Adenanthera Lesmana Adenanthera Lesmana Dewa Adenanthera Lesmana Dewa Aditya Catur Siwi Agus Aji Samekto Andar Sri Sumantri Aprillina Aprillina Aprillina, Aprillina Aprillina, Aprillina Ariana Oktavia Badarudin Kau Dedy Rusmiyanto Dedy Rusmiyanto Dharmika Pranidhi Galuh Kirana Dwi Areni Halimah, Lili Hasyim, Umar Al Faruq A Hendi Pratama Hidayah, Yayuk J. Sunyoto Kau, Badarudin kusdibyo, kusdibyo Lili Halimah Mahendro, Iwan Mohammad Ridho Kholid Nur Laili Oktavia, Ariana Purwanto Rafdi Ma’ruf Satria Rahayu Puji Haryanti Rahmat Debit Putra Raja Ferry Surya Gemilang Retno Mulatsih Setiani, Annisa Isna Suci Aris Yuliatin, Anna Sulistyowati Sumantri, Andar Sri Sumarsono, Wasi Sunu Arsy Pratomo Sutini Sutini Umar Al Faruq A Hasyim Unga Prey Astanto Wasi Sumarsono wiwied pratiwi, wiwied Yayuk Hidayah Yulianto Yulianto