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All Journal Jurnal Ilmu Komputer dan Informasi JSM (Jurnal SIFO Mikroskil) Jurnal TIMES E-Dimas: Jurnal Pengabdian kepada Masyarakat Jurnal CoreIT JURNAL MEDIA INFORMATIKA BUDIDARMA Indonesian Journal of Artificial Intelligence and Data Mining JITK (Jurnal Ilmu Pengetahuan dan Komputer) CARADDE: Jurnal Pengabdian Kepada Masyarakat METHODIKA: Jurnal Teknik Informatika dan Sistem Informasi Jurnal Nasional Komputasi dan Teknologi Informasi International Journal of Community Service Learning JURNAL MAHAJANA INFORMASI Abdi: Jurnal Pengabdian dan Pemberdayaan Masyarakat BERNAS: Jurnal Pengabdian Kepada Masyarakat Yayasan Cita Cendikiawan Al Khwarizmi ARMADA : Jurnal Penelitian Multidisiplin
Winardi, Sunaryo
Universitas Mikroskil
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Pengembangan Aplikasi Web untuk Meningkatkan Efisiensi Operasional Organisasi Nirlaba Bidang Kesehatan Sunaryo Winardi; Ng Poi Wong; Sunario Megawan; Tri Wulandari Ginting; Farrell Rio Fa; Cindy Sintiya; Jikky Jikky
ABDI: Jurnal Pengabdian dan Pemberdayaan Masyarakat Vol 7 No 1 (2025): Abdi: Jurnal Pengabdian dan Pemberdayaan Masyarakat
Publisher : Labor Jurusan Sosiologi, Fakultas Ilmu Sosial, Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/abdi.v7i1.1007

Abstract

Yayasan HOPE, sebuah organisasi nirlaba yang fokus pada kesehatan, menghadapi tantangan dengan aplikasi web mereka yang tidak memenuhi kebutuhan operasional. Masalah yang diidentifikasi meliputi antarmuka yang tidak menarik, kurangnya catatan untuk barang masuk dan keluar, catatan inventaris yang tidak lengkap, dan akses admin yang terbatas. Untuk mengatasi masalah ini, tim layanan menggunakan pendekatan rekayasa perangkat lunak dengan paradigma prototyping dan User-Centered Design. Proses pengembangan dimulai dengan wawancara mendalam untuk memahami kebutuhan mitra, diikuti dengan pembuatan wireframe yang mencerminkan antarmuka dan alur kerja aplikasi. Wireframe ini dipresentasikan kepada pemangku kepentingan untuk mendapatkan umpan balik. Setelah iterasi dan perbaikan berdasarkan masukan pengguna, tim mengembangkan aplikasi web yang disesuaikan dengan kebutuhan operasional yayasan. Aplikasi tersebut kemudian diimplementasikan dengan pelatihan pengguna yang komprehensif, menghasilkan aplikasi web yang efektif dan meningkatkan pengalaman pengguna.
ENHANCING SENTIMENT ANALYSIS ACCURACY WITH BERT AND SILHOUETTE METHOD OPTIMIZATION Kelvin Kelvin; Frans Mikael Sinaga; Wulan Sri Lestari; Sunaryo Winardi; Khairul Hawani Rambe; Ronsen Purba
JITK (Jurnal Ilmu Pengetahuan dan Teknologi Komputer) Vol. 11 No. 1 (2025): JITK Issue August2025
Publisher : LPPM Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/jitk.v11i1.6392

Abstract

This research is based on the emergence of ChatGPT technology, which has significant implications in various fields. This research aims to design a model that improves sentiment analysis classification accuracy. The methods applied include the use of the Silhouette Coefficient to determine the best cluster parameters before performing data grouping with the Self-Organizing Map (SOM) method. Additionally, the Bidirectional Encoder Representations from Transformers (BERT) model is utilized to perform precise and convergent sentiment classification. The research methodology encompasses several phases, including data preprocessing through natural language processing techniques. Textual data is converted into vector representations, which are then processed using the Silhouette Coefficient to identify the optimal cluster parameters. These parameters are subsequently applied in the Self-Organizing Map method to cluster data, while the Bidirectional Encoder Representations from Transformers model determines public sentiment, categorized as positive, negative, or neutral. The findings of this study indicate that the best cluster parameter is 9, using a batch size of 64 and a maximum sequence length of 128. The highest accuracy achieved using the confusion matrix is 92.06%. Further tests with varying parameters confirm that the Silhouette Coefficient method significantly enhances the convergence and accuracy of classification outcomes. The conclusion of this research is that integrating the Silhouette Coefficient and Bidirectional Encoder Representations from Transformers is effective in optimizing sentiment analysis on large datasets, achieving both accurate and reliable results.
Co-Authors Aidil Febrian Ananda Putra Brahmana Andri, Andri Ardiansyah, Alvin Christ Arwin Halim Arwin Halim Athaya, Amirah Bryan Herberth Tambela Carsten, Carsten Carvien Kenniji Cendana, Vannes Charles Charles Cindy Sintiya Cynthia Cynthia Damanik, Florida N.S. Djeishman Tongam Hutajulu, Thendro Erico Erico Erlina Halim Evi Juita Wailan’An Farrell Rio Fa Felix Ferawaty, Ferawaty Ferry Andika Putra Filbert, Filbert Florida N.S. Damanik Frans Glendly Manuel Sianipar Frans Mikael Sinaga Gunawan Gunawan - Gunawan Gunawan Gunawan Gunawan Hardy Hardy Heru Kurniawan Hulu, Gideon Perdamaian Iregho, Rian Irpan Pardosi Januri, Calvin Jeffry Gunawan Jikky Jikky Jikky Juangsyah Putra Nasution Karina Mannita Tarigan Kelvin Kelvin Kelvin Kelvin Kelvin Khairul Hawani Rambe Lim, Justine Liman, Felix Manurung, Monica Marito Marniat Wati Gulo Marpaung, Yosua Chrisarga Manuntun Mikael Sinaga, Frans Muhammad Noor Hakim N.S. Damanik, Florida Nadya Sikana Natanael Halomoan Nainggolan Ng Poi Wong Panjaitan, Erwin Setiawan Purba, Rizki Azzura Saifani Putri Retning Jati Rika Melani Sitorus Rio Fa, Farrell Ritchie Kurniawan Rivaldi Lubis Rizki Abdul Azis Ronsen Purba Ronsen Purba Sananto, Muhammad Tubagus Saragih, Yuni Marlina Sihotang, Jona Martua Simon Sinaga, Frans Mikael Sintiya, Cindy Sio Jurnalis Pipin Sitohang, Yosuanto Situmorang, Gilbert Fernando Sonya Enda Natasha S. Pandia Sophya Hadini Marpaung Stephanie Wijaya Steven Steven Sufinata, Sufiandy Sunario Megawan Susmanto, Susmanto Syanti Irviantina Tanidi, Davin Taqwa, Fitrah Sultan Tiartha Triagustinus Sitanggang Tri Wulandari Ginting Tristanto, Fredrick Austin Ulina, Mustika Widya Monica Pakpahan Wielsen Wijaya, Grace Putri Wulan Sri Lestari Yulian, Hendric