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Rian Hidayat
Fakultas Pertanian, Universitas Andalas
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Pelatihan Membaca Syair Melayu di SMK Kelapa Sawit Arsya Ganeeta Indonesia sebagai Upaya Pelestarian Sastra dan Budaya Melayu Hidayat, Rian; Siswanto, Siswanto; Nelfita, Yulia; Islami, M. Fiqri Al; Aulia, Windi
Sajak: Jurnal Penelitian dan Pengabdian Sastra, Bahasa, dan Pendidikan Vol. 4 No. 2 (2025): Juni 2025
Publisher : UIR Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25299/s.v4i2.21560

Abstract

Malay poetry (syair) is a cultural heritage rich in aesthetic, moral, and social values. However, interest among younger generations in syair has declined due to the dominance of popular culture and the lack of interactive learning methods. At Arsya Ganeeta Indonesia Palm Oil Vocational School, students were found to have low levels of understanding, reading skills, and confidence in performing syair. To address these issues, a practice-based poetry reading training was conducted using an experiential learning approach. Data were collected through observations, interviews, and pre- and post-training questionnaires involving 28 students. The results showed significant improvements: understanding of syair increased from 11% to 86%, accurate pronunciation improved from 14% to 57%, appropriate use of tone and intonation rose from 11% to 50%, and students’ confidence in reading aloud grew from 11% to 54%. Additionally, 90% of participants expressed that the training was beneficial and hoped it would be continued. This training proved effective as an applicable culture-based learning model and can be integrated into local content curriculum or extracurricular activities to preserve Malay literary heritage among vocational school students.
Komparasi Algoritma Machine Learning (SVM, Random Forest, dan Regresi Logistik) untuk Prediksi Tingkat Obesitas Achmad Rivai Syahputra; Rian Hidayat; Fathur Rismansyah; Sumanto Sumanto; Imam Budiawan; Roida Pakpahan
Jurnal Ilmiah Teknik Informatika dan Komunikasi Vol. 5 No. 3 (2025): November: Jurnal Ilmiah Teknik Informatika dan Komunikasi 
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/juitik.v5i3.1716

Abstract

Obesity is a global health issue with a continuously increasing prevalence. Early prediction of obesity levels is crucial for designing more effective intervention strategies. This study aims to apply and analyze the performance of three machine learning classification methods: Support Vector Machine (SVM), Random Forest (RF), and Logistic Regression (LR), for predicting obesity levels. The research methodology utilizes a public dataset, ObesityLevels, downloaded from the Kaggle platform, which consists of 2111 medical and lifestyle records. The process includes data preprocessing to convert categorical features into numerical ones, splitting the data into training and testing sets with a 70:30 ratio, model training, and evaluation using accuracy, precision, recall, and F1-score metrics. The results indicate that the Random Forest (RF) algorithm achieved the highest performance, with an accuracy of 90.3%, precision of 90.3%, recall of 90.3%, and an F1-score of 90.3%. Based on these findings, it is concluded that the Random Forest model is the most effective choice for an obesity level prediction system based on the dataset used.
Co-Authors 3Mareta Kemala Sari Abu Tholib Achmad Rivai Syahputra Achmad, M. Djanib Adi Purnama Agianto Agus Subekti Agustin, Hilda Ahmad Safei aida ningsih, nur Ali Yusri aliya setiyani, metty Amrizal Anas Amry, Ary Dean anda restu, delpa Andi Supriansyah Anggi, Febbinur Anggraini, Syatia Duwi Anisa, Sofi Apendi Arsyad Arti Yoesdiarti Aryastuti, Nurul Asni Asni Astuti, Nuraini Budi Aulia, Andini Destri Aulia, Windi Auliya, Rizki 〖Desmar Rodian Afandi Budiman, Cipta chaniago, alfi Damayanti, Elisa Debby Okti Maharani Desi, Erawati Desmar Rodian Afandi Dina Dwi Nuryani Dwi Krisbiantoro Dwiyanti, Rosyidah Ediset, Ediset Eko Sri Wiyono Fathur Rismansyah Fatmawati F, Fatmawati Firges, Hega Hegia fitriyasari Gilar Budi Pratama Hasirun, Hasirun Hayatun Nufus Heri Purwanto Hesti Asriwandari HL, Rahmatiah I. L, Stefanus Ibnu Romadhon Iin Solihin Imam Budiawan Imran Anwar Kuba Indah Sari Indra Masrin Indra Suharman Indra Susila Iqbal, Nabiha Amaliah Islami, M. Fiqri Al Jamin, Awaluddin Juaidah Agustina, Juaidah Julyani, Dahliya Kadori Haidar Khairani Putri, Khairani Kinanti Azani, Fauzia Kudrat Sunandar Kurniati Kusumo, Haryono La Ode Ismail Ahmad, La Ode Ismail Liana Mulkufya Lomba Sultan M. Abie Rafdi Fauzy M. Cece Ariwirdana M. Trihudiyatmanto Mahda, Mahda Majid, Anugrah Makhrup , Abdul Gani Maprasit, Lateefah Martini Djamhur, Martini MilaFikriyah, MilaFikriyah Misriyah, Kiki Nur Missriani Missriani, Missriani Muhammad Basir Muhammad Firdaus Muhammad Saleh Ridwan Muslim Afandi Mustafa, Zulhas'ari Nasution, Zubeir Ahmad Nelfita, Yulia Ninda Novita Ninik Hasanah Nofialdi, Nofialdi Noor Ellyawati nopika, depi Nova Suryani Nur Alia Sumanti Nurani Khoerunnisa Nurdiana, Lela Nurfebrian, Adji Nurfiqih, Nurfiqih Nurrokhim, Dendy Nurul Azmita Pindarwati, Atut Qadir Gassing Rahman, Ashari Ramli, Rosmini Ranggi Praharaningtyas Aji RATNAWATI Ray H, Bobby Restu Rahmat Fajri Reva Deviana Reza Reza Rida Purnama Sari Rika Hariance Rina Susanti Rini Hakimi Riri Lovita Rismia Agustina Roida Pakpahan Roza Yusfiandayani S Siswanto Safitri, Fidyah Salfen Hasri Salsabila Rosnie Salsabillah, Al Mahira Sarbani Sepsol Voni Septian, Reza Simbolon, Dasinto Siti Rukiyah, Siti Sohiron Subhanjaya Angga Atmaja Sukarno Sumanto Sumanto Suparno Suparno Supriyadi Supriyadi Supriyadi Susanto, Yohanes Syafwandi, Syafwandi Syarah Khairat Syuryani Syuryani Taufiq Ihsan Tawaqal, Ridwan Thomas Aldi Fikri Tita Rosita Usman, Yusri Utari Puspita Sari Violeta Inayah Pama Vivi Febria Purwasih Vonny Indah Mutiara Wahyudin Wahyudin Wardaya, Muhari Ilham Weriantoni, Weriantoni Winda Dwi Yanthi Wulandari, Mona Pitri Yahya Yahya Yola Malinda Yolamalinda Yolamalinda Yonariza Yonariza Yos Sudarman Yuerlita Yulantomo, Aris Yulianingsih, Evi Yulinda Yulinda Yulmitra Handayani Zainal Arifin Zamzami Zamzami Zubeir Ahmad Nasution