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All Journal Jurnal Tadris Kimiya Biner : Jurnal Ilmu Komputer, Teknik dan Multimedia Jipmas : Journal Inovasi Pengabdian Masyarakat
Nur Laelasari
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Humanities Chemistry Computer Science & IT Education Engineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology Social Sciences Transportation

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PENERAPAN PENDEKATAN SAINTIFIK UNTUK MENGEMBANGKAN KETERAMPILAN PROSES SAINS DAN SIKAP ILMIAH SISWA PADA KONSEP KELARUTAN DAN HASIL KALI KELARUTAN Nur Laelasari; sari sari
Jurnal Tadris Kimiya Vol 1, No 1 (2016)
Publisher : Department of Chemistry Education, UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/jta.v1i1.1159

Abstract

Pendampingan Mahasiswa Pelaksanaan Magang PT Telkom Infrastruktur Indonesia (TIF) District Sumbagsel Territory 1 Sumatera M Arief Rahman; Nur Laelasari; Khalishah Berliana Nabila; Maulana; M Fahmi Balaputra; Naila Nandra; Khumairah Amira Sari; Muhammad Aji Ramadhan; Riska; Aisyah salsabila Azzahrah
Jurnal Inovasi Pengabdian Masyarakat Vol 2 No 1 (2025): JIPMAS : Journal Inovasi Pengabdian Masyarakat
Publisher : PT. Karya Inovatif Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65255/jipmas.v2i1.177

Abstract

The student internship program is one of the means to improve skills and experience in the world of work. Student assistance in the implementation of internships at PT Infrastruktur Telekomunikasi Indonesia (Telkominfra) Regional South Sumatra aims to provide a practical understanding of the telecommunications industry and help students in the adaptation process in a professional environment. The main problem faced by students during their internship is the lack of understanding of work procedures and the lack of technical skills needed in this industry. This activity was carried out using an observative descriptive qualitative method, with a direct mentoring approach by lecturers to ensure students understand their duties and responsibilities during the internship. Observations and discussions were conducted with the company to provide insight into the work system, technology used, and challenges in the telecommunications industry. The results of this activity show that students get an increase in technical competence and professionalism, including an understanding of work regulations, telecommunications project management, and communication skills in the company environment. Mentoring can help students be more confident in completing tasks and improve their readiness to enter the workforce after graduation. The conclusion is that mentoring in the internship program has a positive impact on students' work readiness, especially in the field of telecommunications.
Enhanced TextCNN dengan Gated Mechanism dan Aspect Fusion untuk Klasifikasi Rating Film Berdasarkan Ulasan Pengguna Rahmat Hidayat; Nur Laelasari; Adam Bahtiar; Rizky Hermawan; Perani Rosyani
BINER : Jurnal Ilmu Komputer, Teknik dan Multimedia Vol. 3 No. 5 (2025): BINER : Jurnal Ilmu Komputer, Teknik dan Multimedia
Publisher : CV. Shofanah Media Berkah

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

This research proposes an Enhanced TextCNN architecture, integrating a Gated Mechanism and Aspect Fusion to address challenges in automatic movie rating classification from user reviews, such as text complexity and the need to understand sentiment towards specific aspects (e.g., plot, acting). The proposed model incorporates Gated Linear Units (GLU) as an adaptive filter in the convolutional layers to suppress noise and enhance key features, alongside an aspect fusion layer that employs multi-head self-attention to explicitly extract and weight information relevant to specific movie aspects from the text, enabling context-aware classification. Experimental results on a dataset of 50,000 movie reviews show the model achieves an accuracy of 85.67% and a weighted F1 score of 85.55%, significantly outperforming the baseline TextCNN (78.34% accuracy) by a 7.33% improvement, while also demonstrating robustness across reviews of varying lengths and offering better computational efficiency compared to more complex models like BERT.
Co-Authors Adam Bahtiar Aisyah salsabila Azzahrah Khalishah Berliana Nabila Khumairah Amira Sari M Arief Rahman M Fahmi Balaputra Maulana Muhammad Aji Ramadhan Naila Nandra Perani Rosyani Rahmat Hidayat Riska Rizky Hermawan Sari Sari