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All Journal Auladuna Jurnal Informatika dan Teknik Elektro Terapan Journal of Mechanical Engineering Learning JURNAL PENDIDIKAN TAMBUSAI These proceedings represent the work of researchers participating in The International Conference on Elementary Education (ICEE) which is being hosted by the Elementary Education Study Programme School of Postgraduate Studies, Universitas Pendidikan Jurnal PkM MIFTEK Jurnal Algoritma Tedc Ramatekno Indonesian Journal of Computer Science and Engineering Almikanika
Ramdani, Rizki
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RANCANG BANGUN RANGKA MESIN PENGERING GABAH PADI (BED DRYER) KAPASITAS 3 KG Syafwan, Elvathna; Ramdani, Rizki; Saleh, Agus; Jumaati, Muhammad Quraish
Jurnal TEDC Vol 17 No 2 (2023): JURNAL TEDC
Publisher : UPPM Politeknik TEDC Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70428/tedc.v17i2.710

Abstract

In the process of harvesting rice, farmers take rice grains or grain to dry. For small-scale farmers, grain drying is done manually with the help of solar heat. It is not effective because it depends on weather conditions. Rice grain drying machines on the market are generally for large capacities. This machine is not suitable for small scale farmers. Based on this background, a rice grain drying machine was designed for small production scale farmers. The limitations of this study only discuss the construction of the engine frame. The stages of the research carried out are; determine the initial specifications of the rice grain drying machine, make a design and test the design of the machine frame using Autodesk Inventor Professional 2017, manufacture the frame of the rice grain drying machine.
Analisis Sentimen Ulasan Wisata Budaya Menggunakan Metode Support Vector Machine dan Long Short-Term Memory Ramdani, Rizki; Cahyana, Rinda
Jurnal Algoritma Vol 22 No 2 (2025): Jurnal Algoritma
Publisher : Institut Teknologi Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33364/algoritma/v.22-2.2585

Abstract

In the era of digital transformation, tourist behavior in expressing perceptions of travel destinations has increasingly shifted toward online platforms such as Google Maps and Twitter. These digital reviews not only represent individual experiences but also reflect collective opinions that can serve as a foundation for formulating data-driven tourism development policies. This study aims to conduct sentiment analysis on public opinion regarding Kampung Naga by comparing the performance of two classification algorithms: Support Vector Machine (SVM) and Long Short-Term Memory (LSTM). The methodological approach employed is SEMMA (Sample, Explore, Modify, Model, Assess). The dataset comprises 2,469 reviews obtained through web scraping techniques from Google Maps and Twitter. All data underwent preprocessing stages including cleaning, tokenization, stopword removal, and automatic sentiment labeling using the ChatGPT language model, with three classification labels: positive, neutral, and negative. Modeling was performed using SVM with TF-IDF representation and LSTM with an embedding layer. Model evaluation utilized precision, recall, and F1-score metrics. The results indicate that SVM achieved an accuracy of 83% and performed best on neutral sentiment, while LSTM recorded an accuracy of 81% with stable performance on positive and neutral sentiments. This research contributes to the development of text-based public opinion analysis systems to support the promotion and management of cultural tourism destinations.
Co-Authors -, Wachidin Abdillah, Moch Wilman Agus Mulyana Ahmad Abdul Rochim Al Ghiffari, Moch. Sadila Al-farisi, Fathan Sauqi Alfarizi, M. Andriyantono, Andriyantono Apnena, Riri Damayanti Aulia, Nita Azhary, Denny Dendy Indriya Efendi Dewi, Dinie Anggraeni Faridah, Tsana Nur Fauzi, Sandi Muhtar Furi Furnamasari, Yayang Gerinata Ginting Ginting, Edison Hajarani, Rashela Hellena, Lovenia Herdiansyah, Dendera Irfan Ali, Irfan Irma Sofiasyari Julkifli, Kiki Jumaati, Muhammad Quraish Karisma Putra, Shadam Alfito Muzfirah, Suci Noor Sifa, Rachel Tina Nugraha, Aji Hadinata Nurahman, Faisal Nurazizah, Neng Putri Nurhayati, Intan Permata Sari, Isne Nabila Prayoga, Kiki Primahidin, Indra Puspitasari, Dea Puspitasari, Regita Rafidah, Dita Dinar Rinda Cahyana Ripai, Akhmad Ruhiyat Saleh, Agus Saputra, Rifkia Suarna, Nana Sujarwadi, Ari Syafwan, Elvathna Taftazani, Tantowi Tin Rustini, Tin Tri Andari, Mita Wachidin, Wachidin Wafa, Shahibul Yuliawati, Lia Zaman, Muhammad Badru