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All Journal JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI Journal of Information System Exploration and Research
Prameswari, Della Egyta
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Computer Science & IT Decision Sciences, Operations Research & Management Engineering

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The Classification of Hate Comments on Twitter Using a Combination of Logistic Regression and Support Vector Machine Algorithm Damayanti, Nabila Putri; Prameswari, Della Egyta; Puspita, Wiyanda; Sundari, Putri Susi
Journal of Information System Exploration and Research Vol. 2 No. 1 (2024): January 2024
Publisher : shmpublisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52465/joiser.v2i1.229

Abstract

This research was conducted to increase accuracy in classifying sentences containing hate speech and non-hate speech on Twitter. This is important to do because, as technology develops, it also comes with negative impacts, one of which is hate speech. This classification is carried out using a combination of Logistic Regression (LR) and Support Vector Machine (SVM) methods. This combination is based on the ease of implementation and speed of LR as well as SVM's ability to handle more complex and non-linear data. In this context, LR is used to model the probability that a comment on Twitter contains hate elements or not. The model can then provide probability predictions for each class, and a threshold can be set to determine the final class. This research shows that combining these methods can build a good classification model with an accuracy of 96%.
Etika Shopee Affiliator dalam Meningkatkan Traffic Penjualan Prameswari, Della Egyta; Septiana, Dina Wachidah; Wahyudiantoro, Rizky Tri; Alaida, Salma Keysha; Santoso, Tony Budi; Arini S.Kom., M.Cs., Ph.D., Florentina Yuni
JATISI (Jurnal Teknik Informatika dan Sistem Informasi) Vol 11 No 1 (2024): JATISI (Jurnal Teknik Informatika dan Sistem Informasi)
Publisher : Lembaga Penelitian dan Pengabdian pada Masyarakat (LPPM) STMIK Global Informatika MDP

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/jatisi.v11i1.6495

Abstract

Artikel ini membahas tentang fenomena afiliasi shopee di Indonesia, dimana shopee bekerja sama dengan individu atau pihak ketiga untuk mempromosikan produk dan memperluas jangkauan pasar. Melalui metode tinjauan literatur, penelitian ini menganalisis etika Afiliator Shopee, mengidentifikasi kode etik yang harus dipatuhi, prinsip etika dalam pemasaran afiliasi, tanggung jawab Afiliator Shopee, dan dampaknya terhadap lalu lintas penjualan. Hasilnya menunjukkan pentingnya kejujuran, transparansi, kesehatan, keselamatan, legalitas, praktik yang sadar, perilaku pribadi, komunikasi yang jujur, dan mengatasi kekhawatiran publik dalam pemasaran afiliasi. Tanggung jawab Afiliasi Shopee mempengaruhi lalu lintas penjualan dengan pemilihan produk, konten berkualitas, distribusi yang efektif, dan analisis kinerja. Strategi pemasaran afiliasi Afiliasi Shopee melibatkan penggunaan media sosial, khususnya Instagram, dengan fokus pada video promosi produk. Pengaruh Afiliator Shopee terhadap trafik penjualan di Shopee cukup signifikan, meningkatkan popularitas produk dan kesadaran merek, meski menghadapi tantangan persaingan yang semakin ketat. Program Afiliator Shopee memberikan peluang besar bagi individu atau perusahaan untuk memanfaatkan platform e-commerce seperti Shopee untuk meningkatkan kesuksesan penjualan dan pemasaran.
Co-Authors Alaida, Salma Keysha Arini S.Kom., M.Cs., Ph.D., Florentina Yuni Damayanti, Nabila Putri Puspita, Wiyanda Santoso, Tony Budi Septiana, Dina Wachidah Sundari, Putri Susi Wahyudiantoro, Rizky Tri