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All Journal RABIT: Jurnal Teknologi dan Sistem Informasi Univrab Progresif: Jurnal Ilmiah Komputer Abdimas Langkanae Jurnal Pendidikan dan Pembelajaran Jurnal Sains dan Teknologi Indonesian EFL Journal
Muhammad Fadli
Politeknik Negeri Lampung
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Systematic Literature Review: GPU, TPU, FPGA dalam Akselerasi AI Siska Fitriani; Ega Budiman; Muhammad Fadli; Amarudin Amarudin
Progresif: Jurnal Ilmiah Komputer Vol 22, No 2 (2026): April
Publisher : STMIK Banjarbaru

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35889/progresif.v22i2.3481

Abstract

The increasing complexity of artificial intelligence (AI) models has raised the demand for efficient hardware accelerators. A key challenge is selecting an accelerator that aligns with application needs, as mismatches can affect energy efficiency, inference speed, and system scalability. GPU, TPU, and FPGA are the most commonly used accelerators in AI deployment, each with specific advantages and limitations. This study aims to systematically evaluate the utilization of these three accelerators across various AI domains. A Systematic Literature Review (SLR) was conducted using the Kitchenham framework, analyzing 20 scientific articles. Results show that GPUs are used in 90% of studies, TPUs in 50%, and FPGAs in 70%. In terms of energy efficiency, FPGAs are superior in 78% of the relevant articles, while GPUs dominate inference performance in 85% of cases. This study concludes that selecting an AI accelerator should be guided by power efficiency, system architecture, and domain-specific requirements. The findings offer practical implications for graduate students in selecting appropriate accelerators that align with their research topics, experimental goals, and resource constraints in AI-driven thesis projects.Keywords: Artificial Intelligence Accelerator; Graphics Processing Unit; Tensor Processing Unit; Field Programmable Gate Array; Systematic Literature Review AbstrakPerkembangan model kecerdasan buatan (AI) yang semakin kompleks menimbulkan kebutuhan akan akselerator perangkat keras yang efisien. Masalah utama yang sering dihadapi adalah pemilihan akselerator yang tidak sesuai dengan kebutuhan aplikasi, yang berdampak pada efisiensi daya, kecepatan inferensi, dan skalabilitas sistem. GPU, TPU, dan FPGA merupakan tiga jenis akselerator yang paling banyak digunakan dalam implementasi AI, Penelitian ini bertujuan mengevaluasi pemanfaatan ketiga akselerator dalam berbagai domain AI menggunakan Systematic Literature Review (SLR) berbasis pendekatan Kitchenham. Sebanyak 20 artikel diseleksi dari lima basis data ilmiah terkemuka. Hasil menunjukkan GPU digunakan dalam 90% studi, FPGA dalam 70%, dan TPU dalam 50%. FPGA unggul dalam efisiensi energi (78% studi), sementara GPU dominan dalam performa inferensi (85% kasus). Penelitian menyimpulkan pemilihan akselerator AI harus mempertimbangkan efisiensi daya, arsitektur sistem, dan kebutuhan domain. Temuan ini memberikan panduan praktis bagi mahasiswa magister dalam memilih akselerator sesuai topik, tujuan eksperimen, dan keterbatasan sumber daya.Kata Kunci: Akselerator Artificial Intelligence; Graphics Processing Unit; Tensor Processing Unit; Field Programmable Gate Array; Tinjauan Sistematik 
DEVELOPING ORAL COMMUNICATION SKILLS IN VOCATIONAL HIGHER EDUCATION: AN EMPIRICAL STUDY OF THE BISPRO TALK LEARNING FRAMEWORK Refdi Akmal; Muhammad Fadli
Indonesian EFL Journal Vol. 12 No. 1 (2026)
Publisher : University of Kuningan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25134/ieflj.v12i1.109

Abstract

Despite the growing demand for communicative competence in vocational higher education, EFL speaking instruction often remains limited to form-focused and decontextualized practices, resulting in low fluency, confidence, and professional relevance among students. Addressing this gap, the present study investigates Bispro Talk, an English learning framework designed to enhance students’ oral communication skills through vocationally oriented and interactive learning activities. Grounded in communicative competence theory, socio-constructivism, and task-based language teaching, Bispro Talk integrates contextual problem-based discussions, professional role-play, interactive speaking tasks, and structured reflective feedback. Employing a quasi-experimental mixed-methods design, the study involved 70 undergraduate students from the S1 Terapan English for Professional and Business Communication Study Program at Politeknik Negeri Lampung. Participants were assigned to an experimental group (n = 35) receiving Bispro Talk instruction and a control group (n = 35) taught using conventional methods over eight instructional sessions. Quantitative data from pre- and post-speaking performance tests were analyzed using paired and independent samples t-tests, while qualitative data from interviews and classroom observations were examined through thematic analysis. The findings revealed statistically significant post-test improvements in the experimental group across all speaking dimensions’ fluency, pronunciation, vocabulary, grammatical accuracy, and comprehensibility with a large effect size (Cohen’s d = 1.84). Qualitative results further indicated increased speaking confidence, reduced anxiety, and strong learner preference for professionally relevant speaking tasks. The study concludes that Bispro Talk offers an effective pedagogical approach for vocational EFL contexts by promoting authentic, learner-centered oral communication aligned with workplace communication demands.
Pembelajaran Bahasa Inggris Berbasis Fun Learning dengan Media Flashcard di Pekon Pujodadi Pringsewu Dewi Suryanti; Dian Windriani; Retno Anggraini; Sitti Suharni; Muhammad Fadli; Refdi Akmal; Gita Hilmi Prakoso; Ani Novitasari; Rio Eka Nugraha; Mc. Fulvia. Hy; Helidatasa Utami
Abdimas Langkanae Vol. 6 No. 1 (2026)
Publisher : Pustaka Digital Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53769/jpm.v6i1.766

Abstract

Kegiatan Pengabdian kepada Masyarakat (PKM) ini dilaksanakan di Pekon Pujodadi, Kecamatan Pardasuka, Kabupaten Pringsewu, Lampung, dengan fokus pada pembelajaran bahasa Inggris bagi siswa Sekolah Dasar (SD) menggunakan metode fun learning berbasis media flashcard. Program ini memiliki dua dimensi utama: pertama, memperkenalkan bahasa Inggris kepada anak-anak SD secara menyenangkan sehingga menumbuhkan minat dan motivasi belajar; kedua, menjadi wahana bagi mahasiswa Program Studi Bispro Politeknik Negeri Lampung (Polinela) untuk mengembangkan kompetensi profesional dan kepekaan sosial mereka di bawah bimbingan dosen sebagai fasilitator. Metode pelaksanaan mencakup observasi lokasi, perancangan media flashcard, pelaksanaan sesi pembelajaran interaktif, serta evaluasi kegiatan. Hasil kegiatan menunjukkan peningkatan antusiasme dan partisipasi aktif siswa SD dalam belajar bahasa Inggris, serta peningkatan kemampuan mahasiswa dalam merancang pembelajaran yang kontekstual dan berkomunikasi dengan masyarakat. PKM ini menegaskan bahwa program pengabdian dapat berfungsi ganda sebagai layanan masyarakat sekaligus laboratorium pembelajaran nyata bagi mahasiswa
PERANCANGAN SISTEM INFORMASI FRONT OFFICE HOTEL BERBASIS WEB DENGAN PEMODELAN UML DAN INTEGRASI SMART ROOM Muhammad Fadli; Rifka Simbolon; Izza Maulida Santoso; Valdi Mughni Budiman; Hadori Rosadi; Budi Rahman
Rabit : Jurnal Teknologi dan Sistem Informasi Univrab Vol 11 No 1 (2026): Januari
Publisher : LPPM Universitas Abdurrab

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36341/rabit.v11i1.7459

Abstract

The rapid advancement of digital technology has significantly transformed the hospitality industry, particularly in enhancing front office services as the primary point of interaction between guests and the hotel. This study aims to design a web-based front office information system integrated with smart room technology, utilizing Unified Modeling Language (UML) as the modeling approach. The developed system, named SIFOHSMART, combines administrative data management functions with intelligent service features based on the Internet of Things (IoT). The main innovation of this system lies in the automatic notification feature from smart panels in guest rooms to the front office, enabling real-time detection and handling of complaints. This research adopts a prototyping methodology, including literature review, field observations, stakeholder interviews, user requirements analysis, UML diagram design (use case and activity), and system testing. The results demonstrate that the system improves operational efficiency, accelerates service response time, and supports data-driven decision-making. The contribution of this study extends beyond technological innovation by incorporating a human-centered design approach that considers usability and convenience for hotel staff. This system has the potential to serve as a reference model for developing adaptive and sustainable hotel information systems in the modern hospitality sector.
PERSPEKTIF BIBLIOMETRIK TERHADAP INTEGRASI METAVERSE DALAM PENDIDIKAN: TREN PUBLIKASI, PENULIS, DAN ARAH PENELITIAN TERKINI Muhammad Fadli; Dian Sri Purwanti; Windia Hanifah; Valdi Mughni Budiman; Rifka Simbolon; Riyan Maruly; Amarudin
Rabit : Jurnal Teknologi dan Sistem Informasi Univrab Vol 11 No 2 (2026): Juli
Publisher : LPPM Universitas Abdurrab

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36341/rabit.v11i2.8047

Abstract

The Metaverse has emerged as a promising digital technology in education due to its ability to create immersive, interactive, and collaborative learning environments. This study aims to analyze the development of research on the integration of the Metaverse in education through a bibliometric approach. The research data were collected from the Dimensions database using the keywords “Metaverse” and “Education,” resulting in a total of 636 publications published between 2015 and 2025. Bibliometric analysis was conducted and visualized using VOSviewer software to identify publication trends, productive authors, leading contributing countries, and emerging research themes. The findings reveal a significant increase in the number of publications since 2021, with the highest publication output recorded in 2024. China, South Korea, and the United States were identified as the leading contributors to the field, while Hwang G.J. was recognized as one of the most prolific authors. Keyword network analysis indicates that the dominant research themes focus on the Metaverse, Virtual Reality, Augmented Reality, learning, and immersive learning experiences. Furthermore, emerging topics such as digital twins, artificial intelligence, and technology acceptance have begun to gain attention as potential directions for future research. These findings suggest that Metaverse research in education is developing in a multidisciplinary manner and holds significant potential to support the transformation of digital learning in the future.
ANALISIS SENTIMEN ULASAN HOTEL TRIPADVISOR MENGGUNAKAN TF-IDF DAN MACHINE LEARNING: PERBANDINGAN KINERJA SUPPORT VECTOR MACHINE DAN LOGISTIC REGRESSION Muhammad Fadli; Yunita Fitri Yanti; Tina Nurzachra Latifah Rizki Liana; Rifka Simbolon; Ratu Sinar Sari Tanjung; Hadori Rosadi; Budi Rahman
Rabit : Jurnal Teknologi dan Sistem Informasi Univrab Vol 11 No 2 (2026): Juli
Publisher : LPPM Universitas Abdurrab

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36341/rabit.v11i2.8261

Abstract

Online reviews on platforms like TripAdvisor play a crucial role in consumer decision making and hotel reputation management. However, the massive and unstructured volume of data requires a fast and accurate automated analysis method. This study aims to analyze the sentiment of TripAdvisor hotel reviews and compare the performance of the Support Vector Machine (SVM) and Logistic Regression (LR) algorithms. The dataset consists of 20,491 reviews classified into three sentiment classes: positive, negative, and neutral. Feature extraction was performed using the Term Frequency-Inverse Document Frequency (TF-IDF) method. To handle the class imbalance issue and ensure robust evaluation, the models were evaluated using Stratified 10-Fold Cross-Validation. The results indicate that Logistic Regression outperforms Support Vector Machine, achieving an average accuracy of 81.46% and an F1-Score of 83.02%, compared to Support Vector Machine which obtained an accuracy of 80.41% and an F1-Score of 82.20%. Both models showed excellent performance on the positive class but faced challenges on the neutral class due to semantic ambiguity and majority class dominance. In conclusion, Logistic Regression proves to be a more optimal, stable, and efficient model for sentiment classification on imbalanced data, making it highly applicable for assisting hotel management in monitoring customer feedback in real time.
An Exploration of The Relationship Pattern Between Metacognitive Awareness and Academic Achievement Among Vocational Students Dewi Suryanti; Muhammad Fadli; Dian Windriani; Retno Anggraini; Sitti Suharni
DIAJAR: Jurnal Pendidikan dan Pembelajaran Vol. 5 No. 3 (2026): Juli 2026
Publisher : Yayasan Pendidikan Penelitian Pengabdian Algero

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54259/diajar.v5i3.7433

Abstract

Metacognitive awareness has been widely identified as a significant predictor of academic success; however, its relationship with academic achievement in English for Business and Professional Communication (EPBC) programs within Indonesian vocational higher education remains empirically underexplored. This study examined the association between regulation of cognition (RoC), the operational component of metacognitive awareness, and students' academic achievement as measured by Grade Point Average (GPA). A quantitative research design was employed involving 44 students enrolled in an EBPC program. The RoC subscale of the Metacognitive Awareness Inventory (MAI) developed by Schraw and Dennison was administered as the primary instrument, with data analyzed using Fisher's Exact Test via SPSS. Descriptive findings revealed that although the majority of participants (54.5%) were classified under the High RoC category, a substantial proportion (77.3%) simultaneously fell within the Low GPA category. Cross-tabulation analysis uncovered a paradoxical pattern whereby students with High RoC demonstrated a lower proportion of High GPA attainment (16.7%) compared to their Low RoC counterparts (30.0%). Fisher's Exact Test yielded a significance value of p = .472, indicating no statistically significant association between RoC and GPA categories at α = .05. These findings suggest that metacognitive regulatory awareness does not automatically translate into academic achievement within the EBPC context, interpreted through the lens of the declarative-procedural knowledge gap, program-specific competency demands, and the potential mediating role of academic self-efficacy and motivational orientation. The study recommends integrating systematic instructional scaffolding into curriculum design to bridge students' metacognitive awareness and its effective application in complex academic tasks.
Utilizing Google Workspace for Teaching English as A Foreign Language Muhammad Fadli; Valdi Mughni Budiman; Syaifuddin Muhammad Mirza
DIAJAR: Jurnal Pendidikan dan Pembelajaran Vol. 4 No. 3 (2025): Juli 2025
Publisher : Yayasan Pendidikan Penelitian Pengabdian Algero

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54259/diajar.v4i3.4496

Abstract

The rapid advancements in information and communication technology (ICT) have transformed the education sector, particularly in integrating digital tools into teaching practices. This study explores the utilization of Google Workspace for Education in teaching English as a foreign language at Politeknik Negeri Lampung. Using a qualitative descriptive method, data were collected through semi-structured interviews with five English lecturers. The findings reveal that tools like Google Classroom, Docs, Slides, Meet, and Drive. Enhance teaching efficiency, foster collaboration, and improve student engagement. These tools support diverse teaching learning activities, including material preparation, interactive learning, and formative and summative assessments. Moreover, the accessibility of Google Workspace allows learning to take place anytime and anywhere, aligning with the demands of modern education. This study underscores the importance of lecturers developing ICT skills to leverage digital tools effectively and create innovative learning environments. The integration of Google Workspace significantly contributes to improving the quality of English language teaching learning in the digital era.
Modeling Personal Agency through Fiction: Insights from A Good Girl’s Guide to Murder Dewi Suryanti; Muhammad Fadli; Retno Anggraini; Refdi Akmal
DIAJAR: Jurnal Pendidikan dan Pembelajaran Vol. 4 No. 3 (2025): Juli 2025
Publisher : Yayasan Pendidikan Penelitian Pengabdian Algero

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54259/diajar.v4i3.4651

Abstract

A Good Girl’s Guide to Murder, a young adult novel by Holly Jackson, presents a compelling narrative of mystery while offering extensive opportunities to explore social and psychological dynamics through its main character. This study investigates the potential of the novel as a pedagogical tool by bridging young adult fiction and learning theories; analyzing how the protagonist, Pippa Fitz-Amobi, embodies Albert Bandura’s social cognitive theory. The research proposes fresh insights into their integration. Through the examination of personal agency, this study reveals how Pip’s agency shapes her decision-making and resilience in navigating complex situations. The findings highlight the effectiveness of young adult literature in illustrating fundamental learning principles, offering a modeling personal agency for its young readers.
Pelatihan English For Tour Guide Berbasis Konteks Lokal di Pantai Minang Rua, Desa Kelawi, Kec. Bakauheni Refdi Akmal; Gita Hilmi Prakoso; Muhammad Fadli; Rio Eka Nugraha; Dewi Suryanti; Ani Novitasari; Dian Windriani; Mc. Fulvya.Hy; Retno Anggraini; Helidatasa Utami; Sitti Suharni
Abdimas Langkanae Vol. 5 No. 2 (2025): September-Desember 2025
Publisher : Pustaka Digital Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53769/jpm.v5i2.561

Abstract

Program Pengabdian kepada Masyarakat ini dilaksanakan oleh Program Studi Bahasa Inggris untuk Komunikasi Bisnis dan Profesional, Politeknik Negeri Lampung dengan tujuan meningkatkan kemampuan bahasa Inggris praktis khususnya dalam pemandu wisata masyarakat Desa Kelawi, Kecamatan Bakauheni, Lampung Selatan. Tujuan spesifik yang ingin dicapai yaitu meningkatkan keterampilan bahasa Inggris dalam pemandu wisata untuk mendukung peningkatan kunjungan wisata atau penguatan komunitas pariwisata di Desa Kelawi. Desa ini memiliki potensi wisata unggulan seperti Pantai Minangrua, namun pengelolaannya terkendala oleh rendahnya kemampuan komunikasi pelaku wisata dengan wisatawan asing. Untuk menjawab permasalahan tersebut, program ini mengadakan pelatihan English for Tour Guide berbasis konteks lokal yang dirancang secara aplikatif dan sesuai kebutuhan lapangan. Pelatihan dilaksanakan dalam enam sesi kelas dan satu praktik lapangan, menggunakan metode partisipatif seperti role play, simulasi percakapan, dan praktik pemanduan wisata langsung. Materi pelatihan mencakup ungkapan umum dalam pariwisata, deskripsi objek wisata, pemberian petunjuk arah, serta penanganan pertanyaan wisatawan. Kegiatan ini juga menghasilkan modul pelatihan tematik, video simulasi, dan narasi wisata dalam bahasa Inggris sebagai luaran berkelanjutan. Hasil evaluasi menunjukkan peningkatan kemampuan komunikasi peserta dalam memperkenalkan dan menjelaskan objek wisata secara sopan dan percaya diri. Program ini tidak hanya memperkuat kompetensi bahasa Inggris masyarakat, tetapi juga meningkatkan kepercayaan diri, profesionalisme, serta kesiapan Desa Kelawi dalam mengembangkan pariwisata berbasis komunitas (Community-Based Tourism). Selain itu, kolaborasi antara perguruan tinggi, pemerintah desa, dan Pokdarwis turut memperkuat sinergi akademik dan sosial menuju pengembangan desa wisata yang berdaya saing dan berkelanjutan. Sinergi ini memperkuat hubungan akademik dan sosial, serta mengarah pada pengembangan desa wisata yang lebih berdaya saing, berkelanjutan, dan mampu memberikan manfaat ekonomi langsung bagi masyarakat
Co-Authors Amarudin Amarudin Amarudin Ani Novitasari Budi Rahman Dewi Suryanti Dian Sri Purwanti Dian Windriani Doris Juarsa Ega Budiman Erliyan Redy Susanto Gita Hilmi Prakoso Hadori Rosadi Helidatasa Utami Izza Maulida Santoso Kevinda Sari Mc. Fulvia. Hy Mc. Fulvya.Hy Muhammad Fahmi Fudholi Muhammad Surono Ratu Sinar Sari Tanjung Refdi Akmal, Refdi Retno Anggraini Rifka Simbolon Rio Eka Nugraha Riyan Maruly Siska Fitriani Sitti Suharni Syaifuddin Muhammad Mirza Tina Nurzachra Latifah Rizki Liana Valdi Mughni Budiman Windia Hanifah Yunita Fitri Yanti