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All Journal JURNAL SISTEM INFORMASI BISNIS JSAI (Journal Scientific and Applied Informatics) Specta Journal of Technology Journal of Computer System and Informatics (JoSYC) Jurnal Sibermas (Sinergi Pemberdayaan Masyarakat) KLIK: Kajian Ilmiah Informatika dan Komputer Jurnal Ilmiah Teknik Mesin, Elektro dan Komputer (JURITEK) Jurnal Ilmu Komputer
Gani, Hilmansyah
Universitas Muhammadiyah Gorontalo
Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Medicine & Pharmacology Public Health Social Sciences

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PENERAPAN METODE MULTI OBJECTIVE OPTIMIZATION ON THE BASIC OF RATIO ANALYSIS (MOORA) UNTUK PEMILIHAN PENERIMA BANTUAN LANGSUNG TUNAI DI DESA ILOMANGGA Handayani, Tri Pratiwi; Pratiwi I Wantu; Irawan Ibrahim; Hilmansyah Gani
Jurnal Ilmiah Teknik Mesin, Elektro dan Komputer Vol. 3 No. 2 (2023): Juli: Jurnal Ilmiah Teknik Mesin, Elektro dan Komputer
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/juritek.v3i2.1724

Abstract

Penelitian ini bertujuan untuk mengimplementasikan algoritma Multi-Objective Optimization on the Basis of Ratio Analysis (MOORA) sebagai Pendukung Keputusan dalam memilih penerima Bantuan Tunai Langsung di Desa Ilomangga, Gorontalo. Dengan dataset sebanyak 169 calon penerima, penelitian ini berfokus pada pengembangan pendekatan yang efisien untuk membantu kepala desa dalam proses pemilihan penerima manfaat. Dengan menggabungkan optimisasi multi-obyektif dan analisis rasio, algoritma MOORA secara objektif mengevaluasi dan mengurutkan penerima berdasarkan kelayakan dan kesesuaian. Temuan penelitian ini menunjukkan efektivitas MOORA dalam menyederhanakan proses seleksi, memastikan transparansi, dan mengoptimalkan alokasi sumber daya bagi mereka yang paling membutuhkan. Penelitian ini memberikan kontribusi pada sistem pendukung keputusan dengan memperlihatkan implementasi praktis MOORA.
Enhancing Multi-Label Hate Speech and Abusive Language Detection on Indonesian Twitter Using Recurrent Neural Networks with Hyperparameter Tuning Handayani, Tri Pratiwi; Hilmansyah Gani
Jurnal Ilmiah Teknik Mesin, Elektro dan Komputer Vol. 3 No. 3 (2023): November: Jurnal Ilmiah Teknik Mesin, Elektro dan Komputer
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/juritek.v3i3.3022

Abstract

This study investigates enhancing multi-label hate speech and abusive language detection on Indonesian Twitter using Recurrent Neural Networks (RNNs) with hyperparameter tuning. A dataset of Indonesian tweets labeled for various hate speech and abusive language categories was preprocessed through text cleaning, tokenization, and sequence padding. A baseline RNN model was initially constructed and evaluated. Hyperparameter tuning was then performed using Keras Tuner to optimize performance. The best hyperparameters identified were an embedding dimension of 32, 32 LSTM units, and a dropout rate of 0.2. The tuned model was trained and compared with the baseline. Results indicated improved precision for labels like Abusive, HS_Group, HS_Moderate, and HS_Strong, but a decline in recall and F1-scores for labels like HS_Religion and HS_Race. Overall performance metrics showed a slight decline, highlighting trade-offs in the tuning process. In conclusion, while hyperparameter tuning can enhance certain performance aspects, it also introduces complexities and trade-offs. It is recommended to use hyperparameter tuning in model optimization with careful consideration of application requirements. Further research will explore different model architectures and additional tuning strategies for better overall performance.
Co-Authors Abas Kaluku Alfian Zakaria Alter Lasarudin Alter Lasarudin Arip Mulyanto Dian Novian Edi Setiawan Handayani, Tri Pratiwi Indhitya R Padiku Irawan Ibrahim Irawan Ibrahim Irawan Ibrahim Lanto Ningrayati Amali Maliki, Ona Manda Rohandi Misran Tomayahu Moh Ramdhan Arif Kaluku Moh. Hidayat Koniyo Moh. Nasrul Arief Setiawan Adam Mohamad Ilyas Abas Muchlis Polin Nikmasari Pakaya Pratiwi I Wantu Pratiwi I Wantu Rahman Takdir Rizal Lamusu Salahudin Olii Suseno, Jatmiko Indro Tri Pratiwi Handayani Tri Pratiwi Handayani Yulan Humolungo yulanda yunus Yulanda Yunus Yunus, Yulanda