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Enhancing Abusive Language Detection on Twitter Using Stacking Ensemble Learning Utami, Putri; Tanga, Yulizchia Malica Pinkan; Unjung, Jumanto; Muslim, Much Aziz
Journal of Information System Exploration and Research Vol. 3 No. 2 (2025): July 2025
Publisher : shmpublisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52465/joiser.v3i2.594

Abstract

Detecting abusive language on Twitter is an important step in reducing the prevalence of negative content and harassment. This study aims to improve the accuracy and effectiveness of abusive language detection on Twitter by addressing the limitations of the single model commonly used previously. The stacking method is employed by combining Term Frequency-Inverse Document Frequency (TF-IDF) as the feature extraction method, along with the Naive Bayes and XGBoost algorithms as classification models. Naive Bayes is known for its simplicity in handling text classification, while XGBoost excels in processing complex data and achieving high accuracy. The combination of these two models is expected to improve performance in detecting coarse language. The research results show that the proposed model outperforms the methods in previous studies, with an accuracy of 91.91% and an AUC of 96.76%. These findings demonstrate the effectiveness of the stacking approach in reducing classification errors in coarse language detection. Further research could explore the use of larger datasets or more complex models to improve detection accuracy.
Ekstrak Akar Purwoceng sebagai neuroprotektan Terhadap Model Stroke pada Tikus: Memori Spasial, Jumlah Sel Piramidal, Ekspresi SOD1 dan SOD2 Munawaroh, Fauziyatul; Efiyanti, Christy; Utami, Putri; Dewi, Trisni; Batubara, Irmanida
Jurnal Tumbuhan Obat Indonesia Vol. 17 No. 2 (2024): December 2024
Publisher : Universitas Tidar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31002/jtoi.v17i2.2236

Abstract

Stroke due to cerebral ischemia is one of the leading causes of disability worldwide. Animal models of cerebral ischemia that is often used is Global Cerebral Ischemia (GCI). In GCI, the hippocampus is the most susceptible to neuronal cell death. Complications that occur after ischemia are due to increased oxidative stress. Some compounds in purwoceng are reported to have antioxidant activity which oxidative stress have not been studied in the GCI model stroke. This study aims to examine the effect of purwoceng extract on a stroke model (GCI) as a neuroprotective agent in the prevention of stroke complications that have not been previously studied. 25 rats with a stroke model were given purwoceng root extract with 3 doses (20, 30, and 40mg/kg BW) orally for three days. The mice were then tested for memory with the Morriz Water Maze (MWM) test; then histopathological analysis of pyramidal cells in the hippocampus and the expression of SOD1 and SOD2 genes was analyzed using RT-PCR. The MWM test showed that the memory results at the dose of 20mg/kg BW were better than that of the GCI group (p=0.0384), and the PCR of SOD2 showed improvement at the dose of 20mg/kg BW (p=0.0171). No significant difference in histopathological analysis and SOD1 mRNA expression across group. The administration of purwoceng root extract at a dose of 20 mg/kg BW had the effect of improving memory and SOD2 expression in GCI model rats
Pengaruh Brand Ambassador Terhadap Peningkatan Brand Awareness Pada Produk Hanasui Utami, Putri; Delima, Isniyunisyafna Diah; Irianti, Een
Jurnal Ilmiah Wahana Pendidikan Vol 10 No 7 (2024): Jurnal Ilmiah Wahana Pendidikan
Publisher : Peneliti.net

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.11195961

Abstract

Penelitian ini berjudul “Pengaruh Brand Ambassador Terhadap Peningkatan Brand Awareness Pada Produk Hanasui”. Tujuan dari penelitian ini yakni untuk mengetahui seberapa besar pengaruh dari artis Ranty Maria sebagai brand ambassador hanasui terhadap peningkatan brand awareness. Pada penelitian ini menggunakan teori Kredibilitas sumber, di mana teori ini menjelaskan tentang bahwa seseorang akan lebih mudah dibujuk (persuasi) jika sumbernya persuasinya cukup kredibel. Menurut teori kredibilitas sumber jika semakin tinggi kredibilitas dari seorang komunikator maka semakin besar juga kemungkinan untuk mempengaruhi khalayak. Paradigma yang digunakan pada penelitian ini yaitu paradigma positivisme dengan metode penelitian kuantitatif. Peneliti menggunakan teknik pengumpulan data yang dilakukan melalui kuesioner/angket dan teknik analisis data menggunakan skala Likert. Populasi yang digunakan dalam penelitian ini merupakan masyarakat di Kelurahan Periuk Jaya pada remaja akhir berusia rata rata 15 – 24 tahun. Penelitian ini dilakukan dengan menggunakan rumus perhitungan Slovin sehingga diperoleh sampel sebanyak 98 responden dengan nilai presisi sebesar 10%. Pengambilan sampling ini dilakukan dengan teknik Purposive Sampling. Penelitian ini menggunakan metode SEM-PLS (Partial Least Square) dengan menggunakan software SmartPLS versi 4.0. Hasil penelitian ini menunjukkan bahwa terdapat pengaruh positif signifikan brand ambassador terhadap brand awareness.
Klasifikasi Pengaduan Kekerasan Berbasis Bidirectional Encoder Representations from Transformers (BERT) pada Kementrian Pemberdayaan Perempuan dan Perlindungan Anak Kementrian (PPPA) Jundi, Muhammad; Rahmaddeni; Utami, Putri; Perdana Arifin, Satria; Sinaga, Leonardo
Jurnal Pustaka AI (Pusat Akses Kajian Teknologi Artificial Intelligence) Vol 5 No 2 (2025): Pustaka AI (Pusat Akses Kajian Teknologi Artificial Intelligence)
Publisher : Pustaka Galeri Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55382/jurnalpustakaai.v5i2.1109

Abstract

Kekerasan terhadap perempuan dan anak merupakan isu serius di Indonesia, dengan ribuan laporan masuk setiap tahun ke lembaga perlindungan. Sebagian besar laporan disampaikan dalam bentuk narasi bebas, yang menyulitkan proses identifikasi jenis kekerasan dan respon yang cepat. Penelitian ini mengembangkan model klasifikasi otomatis berbasis IndoBERT untuk mendeteksi jenis kekerasan dan sentimen pelapor secara simultan. Model dilatih menggunakan pendekatan multi-task learning dengan dua label keluaran: kategori kekerasan (multi-label) dan sentimen (biner). Dataset terdiri dari laporan berbahasa Indonesia yang telah dianotasi manual. Evaluasi dilakukan pada data uji (20%) menggunakan metrik F1-score, precision, dan recall. Hasil menunjukkan bahwa model mencapai F1-score sebesar 0,8528 untuk klasifikasi kekerasan dan 0,8375 untuk sentimen. Pengujian pada narasi fiktif juga membuktikan ketepatan model dalam menangkap konteks semantik dan ekspresi emosional pelapor. Model ini menunjukkan potensi signifikan untuk mendukung lembaga pemerintah dalam mempercepat analisis dan tindak lanjut laporan kekerasan secara digital.
Infodemiology of Anthrax in Indonesia: Insights from Google Trends (2014–2024) Fadhillah, Risti Sifa'; Utami, Putri; Sarkowi, Widya Khairunnisa; Iryawati, Dinda
Jurnal Ilmu Kesehatan dan Kesehatan Vol 9 No 2 (2025): AUGUST
Publisher : UNUSA Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33086/mhsj.v9i2.8008

Abstract

Background: Anthrax remains a persistent zoonotic disease in Indonesia, with recurrent outbreaks reported in endemic provinces such as Yogyakarta, Gorontalo, Central Java, and East Nusa Tenggara. Outbreak control is further challenged by the circulation of misinformation, which shapes community perceptions and undermines prevention efforts. Digital epidemiology offers opportunities to complement conventional surveillance by capturing public information-seeking behavior, yet its application in anthrax research in Indonesia remains limited. Methods: This study analyzed temporal and spatial dynamics of public interest in anthrax using Google Trends data from January 2014 to December 2024. Two search terms, antraks (Indonesian) and anthrax (English), were examined to assess monthly patterns, regional distribution, and related search queries. Descriptive analyses were performed to identify peaks of interest, geographic differences, and themes of related and rising queries. Results: Overall search activity was low and stable throughout the 11 years, with distinct peaks corresponding to outbreaks, most notably in July 2023 during the Yogyakarta outbreak. Regional analysis revealed Yogyakarta and Gorontalo as the dominant provinces of search activity. Linguistic patterns showed that antraks was more widely used in western Indonesia, while anthrax was relatively more frequent in eastern provinces. Related queries reflected demand for basic knowledge of symptoms, transmission, and prevention, while rising queries aligned with outbreak-related events. Conclusion: Online search patterns mirror epidemiological risk, cultural context, and digital access. Infodemiology provides timely insights that may enhance outbreak preparedness and risk communication. Integrating digital surveillance with conventional monitoring can support more effective and locally relevant health education strategies for anthrax control in Indonesia.
Co-Authors Aditya Wicaksono Agus Oman Sudrajat Agustin, Erina Akhiroh, Puji Al Qohar, Bagus Alfindo, Nico Dian Ali Mustadi Amajida, Saraya Ambarwati, Dyah Amelia Putri, Winda Amelia Rika Anah, Sri Ananto Aji, Ananto Andi Asrina Angraini, Dwi Rizki Anwar, Muh Apik Budi Santoso Ardilla, Yohana Nanita Nansy Arini, Vhita Syukrya Aripa Hasanah , Nur Armawan, Ladyka Viola As'ari, Hasyim Asrul Abdullah Astari, Dewanti Widya atim rinawati Aulia Puspita Anugra Yekti Aulia Putri, Devita Aulia, Usna Aurilia Viona, Tiara Bayu , Silvana Budi Hartono Caska - Chotimah, Indira Christina Ismaniati Christy Efiyanti Cicih Ratnasih, Cicih Darwina, Darwina Delima, Isniyunisyafna Diah Denny Nurdiansyah Dewi, Trisni Dinamella Wahjuningrum Dinda Iryawati Dullah, Ahmad Ubai Eka Kusumastuti, Anie Eka Yusnaldi Ekawati Ekawati Eko Nugroho Endah Dewi Purnamasari Endang Silaningsih Fadhillah, Risti Sifa' Fadillah Fadillah Fatmah Afrianty Gobel Fatria Harwanto Febrian, Ilham Rohmat Febrianto, Nanang Fergy Sandria, Muhammad Firdaus, Amir Hamzah Hasyim Hermanto Hermayanti, Tanti Hilda Zulkifli Ibnu Faruki, Adnan Ida Wahyuni Idris, Fairus Prihatin Iis Diatin Imam Subarkah Imas Maesaroh Irianti, Een Irmanida Batubara irviana, ira Irzal Effendi Ismail Hasan, Ismail Istiqomah Nur Rahmawati Juhadi Juhadi Jumanto Unjung Jundi, Muhamad Jundi, Muhammad Kartini, Alif Yuanita Khairani, Aulia Kurniawan, Egy Kusrianty, Nelly Kusumawati, Tri Indah Lewinsca, Maurend Yayank Marcela, Raya Maryanto Masriana Masriana, Masriana Maula, Inayatul Maulidnawati, Abrina Mia Setiawati Much Aziz Muslim Muhaimin, Ahmad Muhammad Ali, Hendry Muhammad Helmi Muhammad Kaulan Karima Muharramah, Disa Hijratul Muhyidin Muji Burrohman Mujihari, Mujihari mukarromah, maqiyatul Munawaroh, Fauziyatul Mursal Aziz Murti, Wahyu Muslima, Patriotika Nadia Ramli, Nurul Nazilah, Lailatun Nicolas, Hieronimus Ningsih, Maylinna Rahayu Nita Yunianti Ratnasari Novalinda, Novalinda Novitasari, Amanda Novitasari, Prihatini Dini Novitrie, Ayu Nur Imamah Nurlinda, SE., MM, R.A Nurlizawati Nurul Hasanah Nurul Isnaini Octaviany, Efi Perdana Arifin, Satria Pertiwi, Dwika Ananda Agustina Pinandita, Egi Pur Prameswari, Ayu Priyo Sugeng Winarto Puji Hastuti, Yuni Puspita Anugra Yekti, Aulia Putri, Kreati Hanna Qohar, Bagus Al Rabiatul Adawiyah Rahmadani, Aulia Rahmaddeni Rahmaddeni Rahmadhana, Sharah Rahmawati, Yuli Nur Ramadhani, Anisa Rambe, Riris Nurkholidah Restu Restu Risli , Andrea Risma Handayani Rispa Ngindana Rispantyo Rispantyo, Rispantyo Ritonga, Yunizar Rizki Amalia Rizki Wandini, Rora Sahid Agustian Hudjimartsu Sahiman, Kunta Adnan Salbila, Isal Saputra, Yoerdy Agusmal Sarkowi, Widya Khairunnisa Setiadi, Diaz Hazrina ShikhMaidin, Mashitah Sibarani, Benly Levi Andreas Sinaga, Leonardo SITI FATIMAH Siti Khodijah Parinduri Sri Nuryati Sucipto Sukmawati Sukmawati Sumiaty Sumiaty Supriadi Supriadi Suprida, Suprida Susi Handayani Suyono Suyono Syah, Habib Asshidiq Syamsi, Afduha Nurus Tanga , Yulizchia Malica Pinkan Tanga, Yulizchia Malica Pinkan Tatag Budiardi umi arifah Utami*, Rahayu Dwi Vidya Vitta Adhivinna, Vidya Vitta Viona, Tiara Aurilia Wahjuningsih , Sri Widayanti, Amanda Widya Ningsih, Mutiara Wira Wibawa, Herry Y. Hadiroseyani Yonvitner - Yunola, Satra Yusriani, Yusriani