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All Journal TELKOMNIKA (Telecommunication Computing Electronics and Control) POROS TEKNIK Antivirus : Jurnal Ilmiah Teknik Informatika JATI (Jurnal Mahasiswa Teknik Informatika) Journal of Informatics, Information System, Software Engineering and Applications (INISTA) Journal of Applied Data Sciences Yayasan Cita Cendikiawan Al Khwarizmi Jumat Pendidikan: Jurnal Pengabdian Masyarakat JUSTIN (Jurnal Sistem dan Teknologi Informasi) Kontribusi: Jurnal Penelitian dan Pengabdian Kepada Masyarakat Algoritme Jurnal Mahasiswa Teknik Informatika PELS (Procedia of Engineering and Life Science) IJCOSIN : Indonesian Journal of Community Service and Innovation JOMPA ABDI: Jurnal Pengabdian Masyarakat eProceedings of Engineering Jurnal Kendali Teknik dan Sains Nusantara Journal of Computers and its Applications JOSAR (Journal of Students Academic Research) Inovasi Jurnal Pengabdian Masyarakat (IJPM) Jurnal Informatika Polinema (JIP) Pengabdian Kepada Masyarakat Bidang Teknologi dan Sistem Informasi Scientific Journal of Informatics Jnanadharma
Dimas Fanny Hebrasianto Permadi
Institut Teknologi Telkom Purwokerto
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Performance Comparison of Random Forest (RF) and Classification and Regression Trees (CART) for Hotel Star Rating Prediction Utami, Annisaa; Permadi, Dimas Fanny Hebrasianto; Rosita, Yesy Diah; Unjung, Jumanto
Scientific Journal of Informatics Vol. 11 No. 3: August 2024
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/sji.v11i3.11068

Abstract

Purpose: This study proposes to evaluate the effectiveness of Random Forest (RF) compared to Classification and Regression Trees (CART) in prediction of hotel star ratings. The objective is to identify the algorithm that provides the most reliable and accurate classification outcomes based on diverse hotel attributes in accordance with the standard categorization of star hotel categories. This is necessary due to the important role of accurate star ratings in guiding consumer choices and enhancing competitive positioning in the hospitality industry. Method: This study conducted a comprehensive dataset about Hotel in Banyumas Regency, including location, facilities, the size of rooms, type of rooms, price of rooms, and customer reviews, subjected to training through both RF and CART algorithms. Both algorithms are evaluated using accuracy, precision, recall, and F1 score. Additionally, both algorithms due to in the same preprocessing while performing hyperparameter tuning improve the efficacy of each model. Result: The results showed that RF achieved the best overall accuracy and robustness than CART across all tests conducted. Furthermore, RF also outperformed CART in classification effectiveness among classes, including enhanced precision and recall scores across multiple stars rating categories, signifying increased generalization and consistency in classification tasks. RF classifier consistently surpassed the CART classifier in terms of both accuracy and F1-score throughout all random states and test sizes, with a highest score of 0.9932 at a random state of 100 and a test size of 0.4. The most reliable results were obtained using RF with 42 random states and a test size of 0.2, resulting in an accuracy of 0.9909, precision of 1.0, recall of 1.0, and F1 score of 1.0. Simultaneously, CART shows values of 0.9818, 1.0, 1.0, and 1.0, respectively, while maintaining the same variation. This consistent performance, regardless of fluctuations, illustrates the robustness and suitability of RF for classification tasks compared to CART. Novelty: This study offered new insights about the implementation of machine learning about hotel star rating predictions using RF and CART algorithms. Also, the novelty of the collected hotel dataset used in this study. A detailed comparative analysis was also provided, contributing to the existing literature by showing the effectiveness of RF over CART for this specific application. Future studies could explore the integration of additional machine learning methods to further enhance prediction accuracy and operational efficiency in the hospitality industry.
Penerapan Digitalisasi Dan Teknologi Branding Untuk Meningkatkan Potensi Wisata Dan Daya Saing UMKM Sa'adah, Aminatus; Permadi, Dimas Fanny Hebrasianto; Zen, Bita Parga
Dedikasi Sains dan Teknologi (DST) Vol. 4 No. 2 (2024): Artikel Riset Nopember 2024
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/dst.v4i2.4070

Abstract

Usaha Mikro, Kecil, dan Menengah (UMKM) memiliki peranan penting dalam pembangunan dan pertumbuhan ekonomi di Indonesia. Indonesia memiliki jumlah pengguna media sosial lebih dari 80 juta pengguna yang memunculkan behavior bertransaksi online dalam aspek kehidupan sehari-hari. UMKM perlu melakukan adaptasi terkait tantangan tersebut guna meningkatkan penjualan. Kegiatan PKM ini telah dilaksanakan dengan mengadakan seminar dan pelatihan bagi pelaku UMKM. Terdapat tiga materi inti yang disampaikan yaitu optimalisasi penggunaan whatsapp dan instagram dan foto produk menggunakan smartphone untuk mendukung marketing. Para pengelola wisata juga dibekali dengan pembuatan website wisata serta pengelolaannya dalam mendukung operasional dan promosi wisata. Dari seluruh rangkaian kegiatan pengabdian yang telah dilakukan, peserta mendapatkan manfaat secara spesifik dalam hal paid ads dan pengambilan foto produk menggunakan smartphone. Selain itu, website wisata yang telah dibuat juga meningkatkan dan memperluas promosi wisata desa.
Inovasi IoT Biopon BSF Untuk Pengelolaan Sampah Di Unit BUMDes TPST 3R Sokaraja Hebrasianto Permadi, Dimas Fanny; Utami, Annisaa; Dwi Pratiwi, Evia Zunita; Hapiz, Ervan; Hakim Putra Antara, Wildan Daffa’; Dharma Putra, Adhitana
Jompa Abdi: Jurnal Pengabdian Masyarakat Vol. 4 No. 4 (2025): Jompa Abdi: Jurnal Pengabdian Masyarakat
Publisher : Yayasan Jompa Research and Development

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57218/jompaabdi.v4i4.2178

Abstract

Pengelolaan sampah organik di Unit BUMDes TPST 3R Sokaraja masih menghadapi kendala dalam efisiensi dan pemantauan. Black Soldier Fly (BSF) mampu menguraikan sampah organik dengan cepat sekaligus menghasilkan pupuk organik (kasgot) dan pakan ternak bernilai ekonomis. Pengabdian masyarakat ini bertujuan mengoptimalkan pengelolaan sampah melalui biopon BSF berbasis Internet of Things (IoT) untuk monitoring real-time kondisi biopon, termasuk suhu, kelembaban, dan volume sampah. Metode yang diterapkan meliputi instalasi biopon, pemasangan sensor IoT, pelatihan pengurus BUMDes, dan evaluasi pengurangan sampah serta kualitas produk sampingan. Hasil menunjukkan sistem ini mempermudah pemantauan, mempercepat penguraian sampah organik, dan menghasilkan kasgot serta pakan ternak berkualitas. Inovasi ini mendukung pengurangan sampah organik sekaligus memberikan nilai ekonomi tambahan bagi masyarakat desa
Co-Authors Abednego Dwi Septiadi Agus Zainal Arifin Alon Jala Tirta Segara Alwi, Muhammad Nazar Amelia Sahira Rahma Anggi Zafia Anggita Mawar Sari Ari Setyo Ashari, Rahmat Asrozy, Muhammad Faisal Aulia Desy Nur Utomo Belqis Nur Ivada Navalufi Bita Parga Zen Budi Prasetyo Cahyo Aji Pangestu Chevin, Virginawan Alessandro David Saputra, Ricko Dedy Agung Prabowo Dharma Putra, Adhitana Dian Prawesty, Maharani Dini Adni Navastara, Dini Adni Eka Tripustikasari Elisa Dwi Okta Sari Endang Sri Rahayu Evia Zunita Dwi Pratiwi Fahrur Riska Ulinnuha Faizah Faizah Fikra Titan Syifa Hakim Putra Antara, Wildan Daffa’ Hapiz, Ervan Hartami Santi, Indyah Henri Tantyoko Hidayatuloh, Muchamad Azis Imam Wahyudi Ivanda Vipriyandhito Jumanto Unjung Kartika, Kurnia Paranita Khoirul Mujib Kurnia Paranita Kurniawan, Dika Dwi Lestanti, Sri Melinda Sukma Ayu Adien Arera Miftahol Arifin Moh Aris Triprastya Muhamad Awiet Wiedanto Prasetyo Muhamad Azrino Gustalika Mukarromah, Firma Nabila Noor Qisthani Nadiyah Rahayu Nicolaus Euclides Wahyu Nugroho Novian Adi Prasetyo Pandu Kusuma, Abdi Pradana Ananda Raharja Priadi Priadi Rahayu, Nadiyah Rahma Soraya, Anisha Rahma, Amelia Sahira Riyonaldi Dwia Juang Saputra Rizka Wakhidatus Sholikah Rofiatul Muzayyanah Rr. Setyawati Sa'adah, Aminatus Sambath, Khoem Santi, Indyah Hartami Sri Lestari Tenia Wahyuningrum Utami, Annisaa Vipriyandhito, Ivanda Vit Zuraida Wahyu Setiawan Yogi Prasetyo Yolanda, Nedya Yordan Setyawan Yoso Adi Setyoko Yuana, Haris Yulia, Devinda Yuliansyah, Joewandewa