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All Journal Statistika Indonesian Journal of Applied Statistics SEMAR Jurnal Teknik Informatika (JUTIF) Komatika: Jurnal Pengabdian Kepada Masyarakat Prosiding Konferensi Nasional PKM-CSR Prosiding Seminar Nasional Official Statistics
Kiki Ferawati
Universitas Sebelas Maret
Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Mathematics Nursing Public Health Social Sciences

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Journal : Indonesian Journal of Applied Statistics

 1 
Classification of Tweets for Video Streaming Services’ Content Recommendation on Twitter Kiki Ferawati; Sa'idah Zahrotul Jannah
Indonesian Journal of Applied Statistics Vol 4, No 1 (2021)
Publisher : Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13057/ijas.v4i1.49051

Abstract

Streaming services were popular platforms often visited by internet users. However, the abundance of content can be confusing for its users, prompting them to look for a recommendation from other people. Some of the users looked for content to enjoy with the help of Twitter. However, there were irrelevant tweets shown in the results, showing sentences not related at all to the content in the streaming services platform. This study addressed the classification of relevant and irrelevant tweets for streaming services’ content recommendation using random forests and the Convolutional Neural Network (CNN). The result showed that the CNN performed better in the test set with higher accuracy of 94% but slower in running time compared to the random forest. There were indeed distinctive characteristics between the two categories of the tweets. Finally, based on the resulting classification, users could identify the right words to use and avoid while searching on Twitter.Keywords: text mining, streaming services, classification, random forest, CNN
Analisis Faktor-Faktor Penyebab Inflasi di Indonesia Menggunakan Regresi Ridge, LASSO, dan Elastic-Net Husna Afanyn Khoirunissa; Andreas Rony Wijaya; Bayutama Isnaini; Kiki Ferawati
Indonesian Journal of Applied Statistics Vol 7, No 2 (2024)
Publisher : Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13057/ijas.v7i2.96921

Abstract

The economic condition of a country can be measured using one of the indicators, the inflation rate. Therefore, the inflation needs to be maintained so that its rate can be controlled. To support this, it is necessary to pay attention to several factors that influence the inflation rate. These factors include the amount of exports, imports, narrow money (M1), broad money (M2), the rupiah exchange rate against the USD, interest rates, rice prices in wholesale trade, farmer exchange rates (NTP), world crude oil prices, bank investment credit, GDP, and foreign exchange reserves. In this study, we analyze the significant factors influencing the inflation rate in Indonesia using the best model of the Ridge regression, LASSO regression, and Elastic-Net methods. In this modeling, the γ and λ values from the three methods are optimized first. The data used in this study consist of inflation data in Indonesia and its factors for 2020-2024, sourced from the BPS. Among the three high-dimensional data methods, the LASSO regression is the best method with the smallest MSE for modeling inflation data in Indonesia. The LASSO regression model produces 8 predictor variables that significantly influence inflation data, i.e., imports, M1, interest rates, and world crude oil prices with positive coefficient signs, as well as rice price variables in wholesale trade, NTP, GDP, and foreign exchange reserves with negative coefficient signs.Keywords: inflation; ridge regression; lasso regression; elastic-net.
Co-Authors Adinda Febby Nuraini Agustin, Frencilia Paulina Alfito Putra Fajar Pratama Ali Djamhuri Andreas Rony Wijaya Andreas Rony Wijaya Andreas Rony Wijaya Andreas Rony Wijaya Aprilia Saniatul Rahmawati Bayutama Isnaini Elvin Agustiyan Nugroho Epa Suryanto Handajani Handajani Handajani, Sri Sulistijowati Handayani, Sri Sulistijowati Hartanto, Aqila Khansa Hasih Pratiwi hasih pratiwi Husna Afanyn Khoirunissa Ilafi Andalita Jannah, Sa'idah Zahrotul Kamisan, Nur Arina Bazilah Muhammad Bayu Nirwana Muhammad Bayu Nirwana Muhammad Bayu Nirwana Muhammad Bayu Nirwana Muhammad Zidni Subarkah Nirwana, Muhammad Bayu Niswatul Qona’ah NISWATUL QONA’AH Pratiwi, Hasih pratiwi, hasih Renny Elfira Wulansari Respatiwulan Respatiwulan Respatiwulan Respatiwulan Respatiwulan Respatiwulan Respatiwulan, Respatiwulan Rosma Dian Pertiwi Sri Sulistijowati Handajani Sri Sulistijowati Handayani Wardati, Bilqies Syafina Winita Sulandari Yuliana Susanti Yuliana Susanti Yuliana Susanti Yuliana Susanti, Yuliana