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A Machine Learning Framework for Automatic Speech Transcription and Summarization Using HMM and TextRank Kurnia , Yusuf; Kristen; Rossi , Ardiane; Junaedi; Hermawan , Aditiya
JST (Jurnal Sains dan Teknologi) Vol. 14 No. 1 (2025): April
Publisher : Universitas Pendidikan Ganesha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23887/jstundiksha.v14i1.94184

Abstract

This study is motivated by the increasing need to process audio data efficiently, such as in meetings, lectures, and interviews, which are usually still done manually. This manual process is time-consuming and prone to human error, so an automated system is needed that can convert speech into text and summarize information accurately. The main objective of this study is to develop an automated system that integrates the Hidden Markov Model (HMM) for speech transcription and TextRank for text summarization, and to evaluate the performance of the system. This study uses a quantitative experimental approach with research subjects in the form of audio data in MP3 format obtained from various activities, such as meetings, lectures, and interviews. The audio data is processed using the feature extraction method using Mel-Frequency Cepstral Coefficients (MFCC), then transcribed using HMM and summarized using the TextRank algorithm. Data analysis is carried out by measuring the accuracy of the transcription using the Word Error Rate (WER) and evaluating the quality of the summary using the ROUGE metric. This system is tested on three audio categories with varying complexity. The results show that the system achieves high transcription accuracy, especially for interview audio (WER: 7.6%) and effective summarization performance (ROUGE-1: 0.78, ROUGE-L: 0.74). Furthermore, the automated workflow shows up to 96% time efficiency improvement compared to the manual method. These findings demonstrate the practical feasibility of combining probabilistic and graph-based algorithms to automate large-scale audio data processing. This approach significantly reduces human workload while ensuring accuracy and consistency. This research has implications for contributing to the advancement of hybrid natural language processing systems and providing a solid foundation for future integration with transformer-based abstractive summarization and multilingual scalability.
Measuring the Strength of Presidential Campaign Funding, Political Party Advertising Shopping 2024 Junaedi
East Asian Journal of Multidisciplinary Research Vol. 3 No. 8 (2024): August 2024
Publisher : PT FORMOSA CENDEKIA GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55927/eajmr.v3i8.10455

Abstract

The General Election Commission has released a report on the campaign funds of the presidential and vice-presidential candidates for the 2024 election. Prabowo Subianto - Gibran Rakabuming Raka was recorded as the largest, far surpassing Ganjar Pranowo - Mahfud MD and Anies Baswedan - Muhaimin Iskandar.The advertisements were created to get the audience to increase the party's popularity. Golkar is the political party with the highest advertising spending on social media over the last three months, disbursing funds amounting to IDR 3.74 billion. This figure is quite far apart when compared to the advertising costs of other political parties. I am following in second place with a nominal advertising expenditure of IDR 785.6 million. National Awakening Party and Gerindra with advertising costs on social media amounting to IDR 195.7 million and IDR 49.18 million respectively.  PSI is in first place with the most advertisements, namely 1,277 advertisements on television amounting to IDR 42.84 billion, Perindo is in second place for the party with the most advertisements on TV, IDR. 82.73 billion and 1,220 advertisements. The electability of the political parties PDIP and Gerindra compete closely in the female voter group, these two parties were both chosen by 18.8% of female voter respondents. Gerindra's electability reached 19.5%, slightly ahead of PDIP which obtained 19.3%.  In the election of 5 major political parties, namely Gerindra, PDIP, Golkar, PKB and PKS, Gerindra was the party most chosen by young people under 30 years of age, with a vote share of 24.6%.
LAW ENFORCEMENT AGAINST THE MISUSE OF SOCIAL ASSISTANCE FUNDS FOR MSMES IN CIREBON REGENCY IN 2020 (CASE STUDY OF WARUKAWUNG AND WANGUNHARJA VILLAGES) Fauzi, Agam; Junaedi; Mawar Kartina, Ratu
Hukum Responsif Vol 15 No 2 (2024)
Publisher : Fakultas Hukum Universitas Swadaya Gunung Jati

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33603/responsif.v15i2.9573

Abstract

The right to receive social assistance is an important right and can help the basic needs of the community. The significance of the importance that every citizen has the right to decent work and livelihood. Social assistance is assistance provided to people who experience social risks. The assistance provided can be in the form of goods or cash. Social assistance is assistance in the form of goods, money or services to individuals, families, groups or communities that are less fortunate. With Law number 14 of 2019 is an amendment to Law number 11 of 2009 concerning social welfare. The formulation of the problem raised by the author is about how the law enforcement process related to the misuse of social assistance funds and how to be responsible for the misuse of social assistance funds The author's research method uses normative juridical methods, types of qualitative research, and research specifications using descriptive analysis. The data used are primary and secondary data obtained through laws and regulations and interviews with agencies related to this research, namely the Cirebon Police and the Cirebon Regency Social Service. The conclusion of the author's research is to find out the law enforcement process related to the misuse of social assistance funds along with accountability efforts for the misuse of social assistance funds
Co-Authors Abdul Wahab Aditiya Hermawan Ahmad Sukandar Ahmad Taufik Ahmad Yusuf Andrian Putra Ananda, Stanley Anang Rohmad Jatmiko Andri Wijaya Arman Asnun Parwanti Benny Daniawan Daniawan, Benny Dede Andi Dewi Oktavia edy Fauzi, Agam Halim Wijaya, Ardie Hanun Asrohah Hendra Gunawan, Alexius Hermawan , Aditiya Irninthya Nanda Pratami Irwan Iskandar Ritonga Johan Santoso Jonathan Kristen Kumala, Sonya Ayu Kurnia , Yusuf Kurniawan Maranto, Ardiane Rossi Kuswanto, Verri Lunardi, Lidya Machrus Ali Mawar Kartina, Ratu Mey Maemunah Mone, Ansyari Muh Nasir Muhamad Ali Muhammad Afandi Arifin Nailatuzzuhra Nurhapsa Nuridha Rachmat, Ade Dian Pupung Purnamasari Rosita, Yeti Rossi , Ardiane Rossi Kurniawan Maranto, Ardiane Rossi Ryo Setyawan Sugeng Prayitno Suwitno Syahid, Adi Syahruni Thamrin, Syahruni Tia Nurapriyanti Yusuf Kurnia Yusuf Kurnia, Yusuf