Jurnal Teknologi Informasi dan Pendidikan Volume 15, No. 1, Maret 2022 https://doi.org/10.24036/tip.v15i1 P.ISSN: 2086  4981 E.ISSN: 2620  6390 tip.ppj.unp.ac.id Automatic Summarization of Indonesian Texts Using a Hybrid Approach Kania Evita Dewi 1* , Nelly Indriani Widiastuti 2 1,2 Information Technology Department, Universitas Komputer Indonesia, Indonesia *Corresponding Author: kania.evita.dewi@email.unikom.ac.id Article Information ABSTRACT Article history: No. 451 Rec. June 9, 2021 Rev. October 13, 2021 Acc. May 13, 2022 Pub. May 15, 2022 Page. 37 – 43 Automatic text summarization is a system that reduces the number of sentences without losing important information in the document. There are three approaches to making automatic text summarization: extractive, abstraction, and hybrid. The extractive approach is to choose the main sentence without changing it into a new sentence. The abstract approach is to construct new sentences that describe the document's contents. At the same time, the hybrid approach designed in this study is a combination of extractive and abstractive approaches. By designing automatic text summarization in Indonesian with a hybrid approach, the summary results obtained will be closer to those made by humans and have higher legibility. The stages of automatic text summarization are divided into two, namely preprocessing and processing. In the preprocessing step, sentence separation, tokenization, coreference resolution, stop words removal, and feature extraction are carried out. The summary designed is each document through two summary approaches. Further research can be done to input longer documents and input in the form of multiple documents. This is an open access article under the CC BY-SA license. Keywords:  Automatic Summarization ▪ Indonesian Language ▪ Hybrid Approach ▪ Texts 1. INTRODUCTION Documents with long entries are pretty tiring to read, and sometimes readers only need the information. Text summarization is a solution to finding the information contained in the text. But if it is done manually, summarizing the text will take a long time and a lot of money. Therefore, automatic text summarization is required. Automatic text summarization is the process of automated text generation by software that significantly depicts the information contained in the source text. The contents of the summarized result are no longer than the source text [1]. Automatic text summarization is not new research. Research on this has been conducted since 1958 by Luhn [2]. There have also been many studies of automatic texts in Indonesian. Mostly in making automatic text