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All Journal Prosiding Seminar Nasional Sains Dan Teknologi Fakultas Teknik Prosiding SNATIF Jurnal Teknologi Informasi dan Ilmu Komputer Infotech Journal Sinkron : Jurnal dan Penelitian Teknik Informatika Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) JURNAL ILMIAH MATEMATIKA DAN TERAPAN IKRA-ITH Informatika : Jurnal Komputer dan Informatika Jiko (Jurnal Informatika dan komputer) SEINASI-KESI METIK JURNAL Building of Informatics, Technology and Science Jurnal Muara Sains, Teknologi, Kedokteran dan Ilmu Kesehatan Technologia: Jurnal Ilmiah Jurnal Mnemonic JATI (Jurnal Mahasiswa Teknik Informatika) Journal Cerita: Creative Education of Research in Information Technology and Artificial Informatics JIKA (Jurnal Informatika) Informatics and Digital Expert (INDEX) International Journal of Global Operations Research Jurnal Ilmiah Wahana Pendidikan Journal La Multiapp Jurnal Locus Penelitian dan Pengabdian Jurnal Ilmu Komputer dan Teknologi (IKOMTI) Jurnal Algoritma Prosiding Seminar Riset Mahasiswa Enrichment: Journal of Multidisciplinary Research and Development Jurnal Informatika Polinema (JIP) Majority Science Journal Seminar Nasional Riset dan Teknologi (SEMNAS RISTEK)
Wina Witanti
Jurusan Teknik Informatika, Universitas Jenderal Ahmad Yani
Religion Aerospace Engineering Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Health Professions Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Social Sciences Other

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Journal : METIK JURNAL

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Analisis Sentimen Menggunakan Metode IndoBERT Pada Ulasan Aplikasi Zoom Menggunakan Fitur Ekstrasi GloVe Andhika, Firza Rafiandi; Witanti, Wina; Nurul Sabrina, Puspita
METIK JURNAL (AKREDITASI SINTA 3) Vol. 9 No. 2 (2025): METIK Jurnal
Publisher : LPPM Universitas Mulia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47002/g38fxb78

Abstract

This research aims to conduct a sentiment analysis on Zoom application reviews by testing whether combining features from IndoBERT and GloVe can improve classification accuracy. The methodology begins with the collection of 5000 reviews from the Google Play Store, which then undergo a pre-processing stage. To address class imbalance, the Random Oversampling technique was applied. Features are extracted using IndoBERT for contextual meaning and GloVe for global semantic meaning, and their vectors are then combined through concatenation. The balanced dataset is divided into 80% training data and 20% testing data to train and evaluate the model. The test results show that the combined model achieved an overall accuracy of 91%, with a high precision value for the positive class (0.97) and a high recall value for the neutral class (0.95). For comparison, a model using only IndoBERT achieved 90% accuracy. Based on these results, it can be concluded that the combination of IndoBERT and GloVe is an effective and reliable approach for sentiment analysis, with its advantage lying in a richer feature representation due to the integration of global and contextual semantic information.
Analisis Tren dan Prediksi Penjualan Restoran Menggunakan Model Time Series Prophet Hidayat, Kiki; Witanti, Wina; Ramadhan, Edvin
METIK JURNAL (AKREDITASI SINTA 3) Vol. 9 No. 2 (2025): METIK Jurnal
Publisher : LPPM Universitas Mulia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47002/gd8y7q29

Abstract

Daily sales forecasting is a critical component of business planning that must adapt to the dynamics of market demand. While traditional approaches such as Single Moving Average and Trend Moment have been used in previous studies, their predictive accuracy on daily sales often remains suboptimal, with reported MAPE values up to 39.2%. Prophet, a time series model developed by Meta, offers enhanced flexibility in capturing non-linear trends, seasonality, and incorporating external regressors. This study proposes a hybrid forecasting model by combining Prophet with engineered features and external regressors, including calendar effects and recent sales statistics. The dataset consists of daily sales records that have undergone data cleaning, logarithmic transformation, and smoothing. Prophet is configured with additional monthly seasonality, national holiday indicators, and optimized parameters through grid search. Evaluation results demonstrate a substantial improvement, with the final model achieving an R² score of 0.9787 and a MAPE of 3.79%, outperforming conventional methods and aligning with the best results from recent Prophet-based studies. These findings confirm that the integration of external variables within Prophet significantly improves prediction accuracy, making it suitable for time series forecasting in various business domains with similar data patterns.
Co-Authors Abiyoga, Arji Adhinata Kusuma, Rendy Adzani, Nadhif Nurul Fajri Afifah, Hira Nur Alfarizi, Muhammad Bayu Ardi Andhika, Firza Rafiandi Aranda, Sepri Arianto, Ilham Gumeraruloh Asendra, Irfan Ashaury, Herdi Asrul Atamimi, Fadel Muhamad Hafid Budiman, Firman Nur Budiman, Zillan Taufiq Dewi, Wulan Dian Nursantika Edvin Ramadhan Eka Purnama Rijaludin, Muhamad Fahrezi Ahmad, Rafly Fikri Fahrezi, Rizal Febrian Faiza Renaldi, Faiza Fajri Rakhmat Umbara Fauzan, Ariq Firdaus, Syahrul Ghozali, Mohamad Aditya Muttaqin Gunawan Abdillah, Gunawan Hadiana, Asep Id Hardianto, Mohamad Aris Hasbia, Muhamad Iqbal Maulana Kania Ningsih, Ade Kasyidi, Fatan Kiki Hidayat, Kiki Komarudin, Agus Komarudin, Agus Liesdiannisa, Mutiara Virgi Lusy Sundary, Lusy Mandala, Muhamad Bintang Maulina, Ninda Melina Melina, M Nabilah, Mitamufida Kusuma Nabilah, Mitamufida Kusuma Nailendra, Septian Yudha Nugraha, Faisal Okta Nugraha, Faisal Okta Nurhakim, Riri Qorib Nurhasanah, Wulandari Nurputra, Windi Raihan Nurul Sabrina, Puspita Pinasty, Syarifudin Yoga Pradana, Muhammad Rifqi Prasetyo, Nur Faid Pratiwi, Siska Hutami Putra, Eddie Krishna Putri, Ika Rahmah Rezki Yuniarti Ridwan Ilyas Rusmana, Hendri Diana Saputri, Intan Vidia Syarafina, Fildzah Tacbir Hendro Pudjiantoro Trianggara, Dhani Wahidin, Farhan Raihan Wahyudiputra, Helmy Fauzan