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Analisis Sentimen Pengguna Twitter Terhadap Kebijakan Royalti Restoran Dan Kafe Dengan Multinomial Naive Bayes Stephanie Gabriella Wijaya; Suharyadi, Suharyadi
IDEALIS : InDonEsiA journaL Information System Vol. 9 No. 1 (2026): Jurnal IDEALIS Januari 2026 - in press
Publisher : Universitas Budi Luhur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36080/idealis.v9i1.3698

Abstract

Kebijakan royalti musik di restoran dan kafe sebagaimana diatur dalam Peraturan Pemerintah Nomor 56 Tahun 2021 menimbulkan beragam respons di masyarakat, khususnya pelaku usaha dan pengguna layanan publik. Media sosial Twitter menjadi ruang utama bagi masyarakat untuk menyampaikan opini dan diskusi terkait kebijakan tersebut. Penelitian ini bertujuan menganalisis sentimen masyarakat terhadap kebijakan royalti di restoran dan kafe pada media sosial Twitter menggunakan metode Naive Bayes Classifier. Data dikumpulkan melalui teknik web scraping dengan memanfaatkan Tweet Harvest dan menghasilkan 1.513 tweet berbahasa Indonesia yang relevan. Pelabelan sentimen dilakukan menggunakan pendekatan lexicon-based ke dalam tiga kelas, yaitu positif, netral, dan negatif. Tahapan preprocessing meliputi data cleaning, tokenisasi, stopword removal, dan stemming menggunakan Sastrawi. Ekstraksi fitur dilakukan dengan metode TF-IDF, sedangkan ketidakseimbangan kelas ditangani menggunakan SMOTE. Optimasi model dilakukan melalui GridSearchCV dengan Stratified 5-Fold Cross Validation. Hasil penelitian menunjukkan bahwa sentimen netral mendominasi sebesar 81,96%, diikuti sentimen negatif sebesar 12,23% dan sentimen positif sebesar 5,82%. Model Multinomial Naive Bayes menghasilkan akurasi sebesar 95% dan F1-score sebesar 95% pada data uji, serta menunjukkan stabilitas yang cukup baik berdasarkan hasil cross validation. Temuan ini menunjukkan bahwa kombinasi Naive Bayes, TF-IDF, SMOTE, dan hyperparameter tuning efektif dalam menganalisis sentimen kebijakan publik berbasis data media sosial
Effect of Solvent Polarity on Extraction Yield, Phytochemical Composition, and Antioxidant Activity of Curcuma xanthorrhiza Roxb. and Moringa oleifera Lam. Azzahra, Vina Octavia; Mardiana, St; Suharyadi, Suharyadi; Sianipar, Rini Juita; Ramadhan, Dwi Sapri
Biology, Medicine, & Natural Product Chemistry Vol 14, No 2 (2025)
Publisher : Sunan Kalijaga State Islamic University & Society for Indonesian Biodiversity

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14421/biomedich.2025.142.%p

Abstract

The present study investigated the effect of solvent polarity on extraction yield, phytochemical composition, and antioxidant activity of Curcuma xanthorrhiza Roxb. rhizomes and Moringa oleifera Lam. leaves. Maceration was carried out using ethanol, acetone, ethyl acetate, and n-hexane for 72 hours (1:10 w/v). Extraction yield, total phenolic content (TPC), total flavonoid content (TFC), and DPPH radical scavenging activity were determined. Results demonstrated a clear polarity-dependent trend. Ethanol yielded the highest extract recovery for both species (17.55 ± 0.97% and 22.93 ± 0.65%), while n-hexane showed the lowest yield. Ethanol extracts exhibited the greatest TPC and TFC values, 47.12 mg GAE/g and 6.76 mg QE/g for C. xanthorrhiza, and 25.91 mg GAE/g and 4.67 mg QE/g for M. oleifera, respectively. Correspondingly, ethanol fractions displayed the strongest antioxidant activity with IC50 values of 22.70 and 29.80 mg/mL, indicating an inverse correlation between phenolic load and radical scavenging capacity. The study confirms that solvent polarity is a critical determinant of phytochemical recovery and antioxidant potency. The novelty of this work lies in the first comparative evaluation of C. xanthorrhiza and M. oleifera extracted under identical solvent systems, providing a rational framework for solvent selection in phytopharmaceutical and nutraceutical applications. Further work should isolate and characterize the active antioxidant constituents from the most potent extracts.
EFL teachers’ reasons for selecting instructional materials during the COVID-19 pandemic Suharyadi, Suharyadi; Wulyani, Anik Nunuk
Bahasa dan Seni: Jurnal Bahasa, Sastra, Seni, dan Pengajarannya Vol. 50, No. 1
Publisher : citeus

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The COVID-19 pandemic has changed how teachers teach and students learn in the classroom. One of the challenges in the online teaching is that teachers are required to prepare the instructional materials for their students. This study aims at investigating the EFL teachers’ reasons for choosing the instructional materials in the time of the COVID-19 pandemic. By employing a set of questionnaires, this study collected the data from 219 English teachers from various levels of education online via the google form link. The data collection was done for one month starting from 5 May to 5 June 2020. The data were analyzed through a content analysis by identifying, grouping, and categorizing similar and different responses. The results of analysis showed that the EFL teachers have five categories of reasons in selecting the instructional materials in the time of pandemic: the instructional materials should be easy, relevant, simple, attractive, and absent from crime, pornography, and viruses. These results suggest that the EFL teachers make use of these reasons in selecting and developing the instructional materials for their students during and after the pandemic. For future textbook developers, these considerations can be used a reference to develop textbooks which accommodate students’ voices and teachers’ voices during the online teaching and learning activities.
Co-Authors - Heriansyah, - - Mustawarman, - - Mutmainnah, - A.A. Ketut Agung Cahyawan W Abdul Hakim Prima Yuniarto Abu Khalid Rivai Ade Iriani Adriyanto Juliastomo Gundo Agnesia, Wega Dhea Agustin, Ayu Chandra Agusutrisno Agusutrisno, Agusutrisno Al-Ansori, Muhammad Abdul Latif Alfiazh, Andini Tria Alhusna, Indra Sundara Anik Nunuk Wulyani Armitasari, Linda Asep Awaludin, Asep Azzahra, Vina Octavia BUDI SETIADI DARYONO Chairani, Nur Julianti Dwi Damanik, Lina Aftiani DEWI SARTIKA Dewi, Priyantini Ekaning Dewanti Laksmi El Khoiri, Niamika Erni Marlina, Erni Evi Maria Evynurul Laily Zen Fakhrillah, Agvy Rena Farkan, Mochammad Ferni Malega Gunadi Harry Sulistyo Hafied Cangara, Hafied Harianto, Muhammad Bayu Aji Putra Heri Kiswanto Heri Kiswanto Heripan, Heripan Hidayati, Yustina I Putu Tedy Indrayana Ihsan, Iif Miftahul Ilham Ilham Imam Prayogo Pujiono Indrawati, Dewi Miska Irwan Sembiring Istiqomah, Nurul Imani Ivone, Fransisca Maria Jun Harbi Kamsul Abraha Kristiany, Maria Gorety Eny Kuat Ismanto Kusumamawarni, Deaseptia Nirmala Laisina, Edwin Malega, Ferni Malega, Ferni Mangalla, Bileam Mardiana, St Mardiyanto Mardiyanto Margono Margono Milantara, Noril Mirjam Anugerahwati Mudasir Mudasir Muhammad Hanif Mulyono, Mugi Nasirin, Nasirin Nasrullah Nasrullah Novela, Monica Nugraha, Bayu Adi Nur Aji Wibowo Nurul Imani Istiqomah Nurwadi, Nurul Fadilah Parlina, Iin Prabandaru, Lila Prabowo, Guntur Prayogi, Arditya Prima Widayani Putra, Angkasa Rahardian, Renaldy Baptista Rahayu, Dwi Indah Ramadhan, Dwi Sapri Ramadiansyah, Febry Rheido, Gestar Riyanto, Didik Rohmah, Syifa Romantik, Romi Romi Novriadi Rony, Zahara Tussoleha Rosyidah, Umniyah Juman Safitri, Mega Said, Dian Riani Samsu Harapan, Sri Budiani Samsuardi Samsuardi, Samsuardi Samsuharapan, Sri Budiani Sari, Emi Kurnia Satoshi Iwata Sektiana, Sinar Pagi Shirly Rizki Kusumaningrum Sianipar, Rini Juita Sintha Tresnadewi Siti Muniroh Sri Andreani Sri Budiani Stephanie Gabriella Wijaya Suhardi, Muhammad Tegar Alif Susilo, Dinantari Susilo, Sandy Pria Nanda Syahirul Alim Syahrul R, Syahrul Syaputra, Affandi Syukron, Akhmad Aufa Tahir, Asman Bin Mohd Takeshi Kato Theopillus J. H. Wellem Tintien Koerniawati Tjoa, Stanley Evander Emeltan Tresnadewi, Shinta Utari Praba Astuti Wake, Yohana Dhoe Yani, Achmad Yazid Basthomi Yessica Nataliani Yulizar Yulizar Yumna, Asy Syafa’ Yuwono, Henri