Article Per Year (5 Year)
p-Index From 2021 - 2026
0.444
P-Index
This Author published in this journals
All Journal Sewagati Journal of Soft Computing Exploration
Alzamzami, Moch. Nafkhan
Unknown Affiliation
Arts Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media Public Health Social Sciences Other

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
Pelatihan Deployment Aplikasi Berbasis Website SMK Pawiyatan Surabaya Pratomo, Baskoro Adi; Zaini, Alfa Fakhrur Rizal; Teja, Andika Rahman; Prinandika, Arya Gading; Fadhila, Farah Dhia; Arsyad, Hammuda; Fikriansyah, Irsyad; Al Kanza, Kalyana Putri; Vinorian, Muhammad Ersya; Diani, Nabila A'idah; Pramudya, Rafli Raihan; Ahmad, Tohari; Santoso, Bagus Jati; Studiawan, Hudan; Shiddiqi, Ary Mazharuddin; Alzamzami, Moch. Nafkhan; Anggoro, Radityo; Djanali, Supeno; Ijtihadie, Royyana Muslim; Suadi, Wahyu
Sewagati Vol 8 No 5 (2024)
Publisher : Pusat Publikasi ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j26139960.v8i5.2091

Abstract

Permintaan akan tenaga kerja terampil di bidang pengembangan perangkat lunak dan website terus meningkat seiring dengan pertumbuhan industri teknologi informasi. Di tengah situasi ini, banyak sekolah yang berupaya memenuhi kebutuhan tersebut dengan membuka program-program pendidikan khusus dalam pengembangan perangkat lunak dan website . Salah satu contohnya adalah SMK Pawiyatan Surabaya. Sebagai respons terhadap kondisi ini, kami berencana untuk menyelenggarakan program pelatihan kompetensi yang fokus pada deployment aplikasi berbasis website . Strategi pelaksanaan program ini dirancang secara terstruktur, dimulai dari pembelajaran konsep dasar hingga penerapan praktis deployment aplikasi secara langsung. Selain itu, program ini akan dilengkapi dengan evaluasi progres berkala guna memantau dan meningkatkan pemahaman serta keterampilan peserta sepanjang program berlangsung. Output yang diharapkan dari program ini termasuk laporan kegiatan yang komprehensif, dokumentasi video untuk memperlihatkan tahapan pelaksanaan program, serta berita acara yang mencatat semua aspek terkait program pelatihan ini. Dengan mengimplementasikan program pelatihan kompetensi deployment aplikasi berbasis website ini, SMK Pawiyatan Surabaya diharapkan dapat memberikan kontribusi yang signifikan dalam mempersiapkan generasi muda Indonesia untuk menjadi tenaga kerja yang kompeten dan siap beradaptasi dengan dinamika industri teknologi informasi global.
Enhancing sarcasm detection via multimodal learning: A BiLSTM-attention approach with text and emojis integration Dina, Nasa Zata; Alzamzami, Moch. Nafkhan
Journal of Soft Computing Exploration Vol. 7 No. 2 (2026): June 2026
Publisher : SHM Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52465/joscex.v7i2.49

Abstract

The detection of sarcasm is a difficult task in Natural Language Processing (NLP) because to the presence of implicit meaning and contextual ambiguity. This is particularly problematic in social media, where emojis are used frequently to indicate tone and intent. The study proposes a multimodal deep learning strategy that combines both textual and emoji features, by utilizing a BiLSTM with attention mechanisms. The goal of this method is to improve the performance of sarcasm detection. The model makes advantage of bidirectional contextual learning and preferentially focuses on informative tokens and emojis in order to do more effective work of capturing complex expressions. According to the findings of the experiments, the Text+Emoji model that was proposed achieves an F1-score of 96.44%, an accuracy of 97.08%, and an area under the curve (AUC) of 99.23%, which is a significant improvement over the unimodal baselines. Future research will focus on enhancing the proposed model by investigating transformer-based architectures to achieve deeper and more contextualized representation learning.
Co-Authors Al Kanza, Kalyana Putri Arsyad, Hammuda Ary Mazharuddin Shiddiqi Baskoro Adi Pratomo Diani, Nabila A'idah Fadhila, Farah Dhia Fikriansyah, Irsyad Hudan Studiawan Nasa Zata Dina Pramudya, Rafli Raihan Prinandika, Arya Gading Radityo Anggoro, Radityo Royyana Muslim Ijtihadie Santoso, Bagus Jati Supeno Djanali Teja, Andika Rahman Tohari Ahmad Vinorian, Muhammad Ersya Wahyu Suadi Zaini, Alfa Fakhrur Rizal