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Bambang Siswanto
PSTA - BATAN
Religion Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Public Health Social Sciences Other

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Judges’ Consideration In Deciding The Case Of The Rejection Of A Deceased Covid-19 Victim’s Funeral In Semarang Setiawati, Sri; Siswanto, Bambang; Sumantri Riyanto, Ontran
International Journal of Educational Research & Social Sciences Vol. 3 No. 1 (2022): February 2022
Publisher : CV. Inara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51601/ijersc.v3i1.305

Abstract

The handling of the dead bodies caused by the epidemic is one of the methods used to control disease outbreaks. The handling of the dead bodies itself has always been regulated in Article 16 of Government Regulation Number 40 of 1991 about Disease Outbreak Management, way before the COVID-19 pandemic happened. The purpose of this paper is to contribute to the advancement of legal science by expanding knowledge and providing references, particularly in the case of the rejection of COVID-19 victims' bodies, which is the subject of Ungaran District Court Ruling number 76/Pid.Sus/2020/PN Unr. This research is focused on these two problems: the legal review of the funeral law and the rejection of a deceased COVID-19 victim's funeral; and the judges’ consideration in deciding the case of the rejection of a deceased COVID-19 victim's funeral. Objectively, this research aims to describe the legal review of funerals and the rejection of a deceased COVID-19 victim's funeral, as well as the judges' considerations in deciding the case of the rejection of a deceased COVID-19 victim's funeral. The research was conducted using a normative juridical method with a statutory and conceptual approach. Primary and secondary legal materials are discussed and researched using an interpretation method with the aim of providing clarity on the existing legal materials related to the problems encountered. As such, the research results were as follows: Firstly, there are adequate laws and regulations for funeral management, including protocols for the burial of bodies due to infectious disease outbreaks. Refusing to bury a deceased COVID-19 victim is a penal act, both according to Law No. 4 of 1984 concerning Outbreaks of Infectious Diseases and the Criminal Code, and is an unlawful act according to Article 1365 of the Civil Code. Second, it was found that the judges decided the case by considering the law, the action, the mental attitude or guilt, and the penality. It is expected that there will be effective public education about the human rights inherent in a person even after death, as well as education about the dangers of stigmatizing COVID-19 patients and victims in efforts to combat the pandemic.
DAMPAK GAYA KEPEMIMPINAN DAN BUDAYA ORGANISASI TERHADAP KINERJA DOKTER SPESIALIS DENGAN MOTIVASI KERJA SEBAGAI VARIABEL INTERVENING DI RSPAD GATOT SOEBROTO Siswanto, Bambang
Journal of Hospital Management Vol 5, No 02 (2022): Journal of Hospital Management
Publisher : Lembaga Penerbitan Universitas Esa Unggul

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47007/johm.v5i02.5744

Abstract

Optimasi IndoBERT untuk Pengenalan Entitas Bernama Bahasa Indonesia pada Data Media Sosial dengan Penalaan Hiperparameter Optuna Siswanto, Bambang; M. Hanafi
JURNAL RISET KOMPUTER (JURIKOM) Vol. 13 No. 1 (2026): Februari 2026
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/jurikom.v13i1.9545

Abstract

Named Entity Recognition (NER) merupakan salah satu tugas fundamental dalam pemrosesan bahasa alami yang berperan penting dalam ekstraksi informasi terstruktur dari teks tidak terstruktur. Pada Bahasa Indonesia, kinerja model NER berbasis pre-trained BERT sangat dipengaruhi oleh konfigurasi hiperparameter pada tahap fine-tuning. Namun, banyak penelitian masih menggunakan konfigurasi bawaan atau penyesuaian terbatas, sehingga potensi peningkatan kinerja dan stabilitas model belum sepenuhnya dimanfaatkan. Penelitian ini bertujuan untuk mengevaluasi dampak optimasi hiperparameter berbasis Optuna terhadap kinerja dan stabilitas pelatihan model pre-trained BERT untuk tugas NER Bahasa Indonesia. Model yang digunakan adalah IndoBERT (indobenchmark/indobert-base-p1) yang difine-tune untuk mengenali entitas Person (PER), Organization (ORG), dan Location (LOC) dengan skema pelabelan BIO. Metode optimasi hiperparameter dilakukan menggunakan pendekatan Bayesian berbasis Named Entity Recognition (NER) is a fundamental task in natural language processing for extracting structured information from unstructured text. In Indonesian, particularly for informal and diverse social media text, the performance of NER models based on Bidirectional Encoder Representations from Transformers (BERT) is strongly influenced by hyperparameter configurations during fine-tuning. However, many studies still rely on default settings or limited adjustments, so the potential improvements in performance and training stability have not been fully exploited. This study evaluates the impact of hyperparameter tuning using Optuna with a Tree-structured Parzen Estimator (TPE) on the performance and training stability of IndoBERT (indobenchmark/indobert-base-p1) on Twitter/X data. The main contribution of this work is an empirical evaluation of how hyperparameter tuning improves IndoBERT’s performance and training stability, and the resulting recommendations of reliable configurations for reproducible experiments and practical deployment of Indonesian NER. The dataset is annotated using the Begin–Inside–Outside (BIO) labeling scheme for three entity types: person (PER), organization (ORG), and location (LOC). The optimization objective is defined as the F1-score on the validation set. The results show that the Optuna configuration achieves a precision of 0.9338, recall of 0.9312, F1-score of 0.9325, and accuracy of 0.9854 on the test set, outperforming the baseline with an F1-score of 0.9253 and accuracy of 0.9837. Multi-seed evaluation indicates consistent improvements, with an average F1 of 0.9302 ± 0.0016 compared to 0.9238 ± 0.0009 for the baseline. These findings confirm that Optuna-based hyperparameter tuning improves both the performance and reliability of IndoBERT for Indonesian NER on social media text.
Co-Authors Agustin, Voni Alvionita, Vani Amelinda, Rita Assa, Adrie Frans Astutik Astutik Bayu Kristanto, Septian Christina Christina Diana Frederica Felicia, Safara Gore, Yohanes Don Bosko Gursida , Hari Hery Winoto TJ Ibrahim , Iman Iskandar, Victor Lamberto Julianto, Reza Prakoso Dwi M. Hanafi Marinda, Olivia Melitina Tecoalu Ndjurumana, Erlon Noferiman Zai, Petrus Pati, Melfinsius Huka Pranita, Marlia Dini Raga, Yohanes Aryanto Riruma, Olfien Saparso Saparso Saputra, Tri Adi Sri Setiawati, Sri Subagyo Subagyo Suharno . Sumantri Riyanto, Ontran Sutoyo Sutoyo Tarigan, Krisnawati Toni Hartono Widjaja, Daniel Zainol Arifin Zainol Arifin