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All Journal Jurnal Kesehatan Masyarakat Jurnal Optimasi Sistem Industri Proceeding Seminar LPPM UMP Tahun 2014 Jurnal Kesehatan Gigi The Indonesian Journal of Public Health The Indonesian Journal of Occupational Safety and Health Journal of Industrial Hygiene and Occupational Health (JIHOH) Khadimul Ummah Journal of Social Dedication Jurnal Kesehatan YARSI Medical Journal PREPOTIF : Jurnal Kesehatan Masyarakat Jurnal Abdi Insani Emerging Information Science and Technology Jurnal Kesehatan Warta LPM Media Penelitian dan Pengembangan Kesehatan Kesmas: Jurnal Kesehatan Masyarakat Nasional (National Public Health Journal) Jurnal Abdimas Ilmiah Citra Bakti
Haris Setyawan, Haris
Department Of Occupational Safety And Health, Vocational School, Sebelas Maret University, Surakarta
Agriculture, Biological Sciences & Forestry Arts Humanities Biochemistry, Genetics & Molecular Biology Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Economics, Econometrics & Finance Education Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Mechanical Engineering Medicine & Pharmacology Nursing Public Health Social Sciences Other

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A Three-Decade Bibliometric Mapping of Scholarly Trends in Industrial Disasters Across High-Risk Sectors Azizan Ramli; Kowit Nambunmee; Haris Setyawan; Khairiah Mohd Mokhtar
Jurnal Optimasi Sistem Industri Vol. 25 No. 1 (2026): Published in June 2026
Publisher : The Industrial Engineering Department of Engineering Faculty at Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/josi.v25.n1.p1-24.2026

Abstract

Industrial disasters in high-risk sectors such as the petrochemical industry continue to occur, despite significant advancements in process safety and technological controls over the years. This suggests ongoing operational challenges and a lack of consistent academic understanding across both technical and regulatory dimensions. While earlier bibliometric studies have focused on specific thematic areas such as domino effects and risk analysis, a thorough synthesis of the thematic evolution and collaboration structures in industrial disaster research remains limited. To address this gap, this study provides a systematic bibliometric mapping of research focused on industrial disasters, analyzing the themes, impact, and collaboration trends over the past thirty years. The analysis assessed publication trends, co-authorship networks, citation dynamics, bibliographic coupling and keyword co-occurrence through the evaluation of 357 Scopus-indexed publications from 1995 to 2025. The findings indicate a gradual transition from technical risk assessment to more comprehensive integrative perspectives. While domino effects and process safety remain the primary focus of study, recent publication trends demonstrate a growing interest in safety culture and organizational factors. European nations, especially Italy, the Netherlands, and Belgium, have become significant players in global research collaborations, suggesting a wider European focus on industrial safety management and regulatory structures such as the Seveso Directive. Thematic clustering revealed three main themes: technical risk assessment, human and organizational factors, and the environmental and societal impacts of disasters, highlighting a growing integration of technical and socio-regulatory issues. Through a comprehensive longitudinal and network-based synthesis that addresses various themes, this study highlights significant works, overlooked correlations, and new research domains such as resilience-oriented risk governance, establishing a basis for more integrated industrial safety research, policy formulation and organizational risk management strategies.
THE IMPACT OF EARMUFF USE ON HEARING FUNCTION IMPAIRMENT AND FATIGUE: A TIME SERIES STUDY AMONG WEAVING WORKERS IN SURAKARTA, INDONESIA Haris Setyawan; Nisa Nur Kusuma; Ratih Andhika Akbar Rahma; Tofan Agung Eka Prasetya
The Indonesian Journal of Public Health Vol. 21 No. 1 (2026): THE INDONESIAN JOURNAL OF PUBLIC HEALTH
Publisher : Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/ijph.v21i1.2026.57-71

Abstract

Introduction: Hearing loss is identified to impact 466 million people globally, with workplace noise contributing to 16% of adult hearing function impairment. To address the challenges, using personal protective equipment, such as earmuffs, has become a practical solution. Aims: This study aims to analyze impact of using earmuffs on hearing function impairment and fatigue among weaving workers at PT IIPT Surakarta. Methods: The quasi-experimental study used the time series design method, comprising 33 weaving machine operators. Data were collected over 6 working days, namely the first day before the intervention and the following 5 days during the intervention. A questionnaire with tested validity and reliability was used to assess hearing function impairment and fatigue. Results: The results showed that there was a significant variation in the average scores for hearing function impairment and fatigue during the 6 days of earmuff use. Furthermore, the lowest average score was recorded on the first day, while the highest was recorded on the sixth day. Conclusion: This study shows that earmuffs designed to protect workers from the harmful impact of noise increase the average levels of hearing function impairment and fatigue. Consequently, further studies are recommended to evaluate the effectiveness of the sound-absorbing materials used in earmuffs, as different materials can offer varying benefits in absorbing various sources of sound.
PENGENDALIAN KEBISINGAN MELALUI PENERAPAN PEREDAM BISING PADA PEKERJA INDUSTRI PAKAN TERNAK DI KARANGANYAR Bachtiar Chahyadhi; Haris Setyawan; Hengky Ditya Eko Nugroho; Tyas Lilia Wardani; Ica Yuniar Sari
Jurnal Abdimas Ilmiah Citra Bakti Vol. 7 No. 2 (2026)
Publisher : STKIP Citra Bakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38048/jailcb.v7i2.6929

Abstract

  Kebisingan merupakan salah satu faktor bahaya fisik yang berpotensi menimbulkan gangguan pendengaran, peningkatan tekanan darah, dan stres kerja pada pekerja industri. PT Wijaya Inti Nutrisi Giant Feed di Karanganyar memiliki lima mesin penggilingan pakan ternak yang menghasilkan tingkat kebisingan melebihi nilai ambang batas (NAB) sebesar 85 dB. Kegiatan pengabdian kepada masyarakat ini bertujuan mengendalikan paparan kebisingan serta meningkatkan perlindungan kesehatan pekerja melalui pemasangan peredam bising, pemeriksaan kesehatan, dan edukasi penggunaan alat pelindung pendengaran. Metode yang digunakan meliputi pemasangan peredam bising berbahan kombinasi limbah kain perca dan busa pada area mesin produksi, pemeriksaan fungsi pendengaran, tekanan darah, dan tingkat stres pekerja, serta sosialisasi penggunaan earmuff. Evaluasi dilakukan melalui pengukuran tingkat kebisingan, pemeriksaan kesehatan pekerja, dan penilaian pengetahuan sebelum dan sesudah edukasi. Hasil kegiatan menunjukkan bahwa pemasangan peredam bising mampu menurunkan intensitas kebisingan dari tingkat di atas NAB menjadi 70–75 dB. Pemeriksaan kesehatan menunjukkan 40% pekerja mengalami keluhan pendengaran, 32% mengalami tekanan darah tinggi, dan 20% mengalami stres kerja. Selain itu, pengetahuan pekerja tentang penggunaan earmuff meningkat, ditunjukkan oleh peningkatan kategori pengetahuan baik dari 10 menjadi 19 pekerja. Kegiatan ini berhasil meningkatkan pengendalian kebisingan dan kesadaran pekerja terhadap pentingnya perlindungan kesehatan akibat paparan bising di lingkungan kerja.
The Development of Find The Object Game Application as The Media of English Vocabulary Learning for Second and Third Grades of Elementary School Setyawan, Haris; Priwandhana, Bhaskara Satrya; Isnanda, Reza Giga
Emerging Information Science and Technology Vol. 1 No. 2: May 2020
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/eist.126

Abstract

English is the language of international communication, which is why most countries in the world learn it. Therefore, we need to understand and be capable of communicating in English. Today’s English learning is mostly delivered by a lecture method. Moreover, there is no English vocabulary learning media in the form of application. Therefore, this research aims to develop a game application called “Find the Object” to help elementary school students learn English vocabulary by making the learning process more fun and interesting. The pre-test, post-test, and poll results revealed that this game significantly succeeded in increasing the English vocabulary of elementary school students. It was proven through the values of tests tending to increase after playing this game, and students felt more interested in learning English vocabulary.
Android-based Dental Anatomy Learning Application Using Mayer’s Multimedia Learning Principles Desilawati, Deka; Setyawan, Haris; Isnanda, Reza Giga
Emerging Information Science and Technology Vol. 1 No. 2: May 2020
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/eist.1210

Abstract

Anatomy learning methods are still dominated by using books, in which the material is presented in pictures and writings. The anatomy learning method using books is carried out by redrawing parts and memorizing the location and its terms. Thus, students have difficulties when they forget and want to find terms on the anatomy because it is uneasy and takes a long time. This research aims to create a system to study anatomy, especially dental anatomy, through an android-based application, and provide ease of anatomy of tooth learning using Mayer’s principle of multimedia learning on application. Based on system testing and user testing results, this application can be used as a medium of information and learning about tooth anatomy. It is evidenced by black-box testing and questionnaire results. 
Designing a Fun English Vocabulary Card Application as a Means of Learning English Vocabulary for Elementary School Students Setyawan, Haris; Arighi, Radityo Anindito; Isnanda, Reza Giga
Emerging Information Science and Technology Vol. 1 No. 3: August 2020
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/eist.v1i3.13173

Abstract

English has been globally used for communication and studied by almost all countries. Therefore, understanding and being able to communicate in English is crucial. A lot of English learning is currently delivered using the lecture method, but there is no medium for learning English vocabulary in an application. This study aims to create a Fun English Vocabulary Card game to improve children’s English vocabulary. To design the learning model, the design of use case and activity diagrams was utilized. Based on the pre-test and post-test results, this game significantly increased children’s English vocabulary. The average pre-test score was 43.625, and the average post-test score was 95, which indicates that the educational game application could improve users’ knowledge and understanding of English vocabulary.
Web-Based Data Information System for Students and Teachers at Al-Qur’an Education Parks in Kasihan, Bantul Maulana, Teuku Syauqi; Setyawan, Haris; Asroni, Asroni
Emerging Information Science and Technology Vol. 2 No. 1: May 2021
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/eist.v2i1.16870

Abstract

Al-Qur’an Kindergarten (TKA) and Al-Qur’an Education Park (TPA) are non-formal religious education institutions emphasizing studying Islamic values. The development of society necessitates institutions that hold TKA/TPA-related information promptly and correctly. Currently, technology is required to aid an institution in maintaining data and providing TKA/TPA-related information. The data information system aims to provide data for the TKA/TPA coordination agency and ensure the implementation of the administrative order to assure the operational and development sustainability of the IT-based TKA/TPA operating regions. This research intends to develop a web-based information system that can handle the data of students and teachers to reduce the number of errors due to manual data management. A web-based application system for student and teacher data information in TPA in Kasihan was developed utilizing the CodeIgniter framework, the Hypertext Preprocessor (PHP) programming language, the MySQL database, the SDLC method, and the Prototype model. Due to its superiority, the website was selected as the application’s foundation since it is lightweight and could be accessed rapidly using a web browser and an internet or intranet connection to the server. This study has produced a web-based application constructed successfully and could be utilized as a data information system for TPA students and teachers in Bantul.
Sentiment Analysis of Public Responses on Indonesia Government Using Naïve Bayes and Support Vector Machine Setyawan, Haris; Azizah, Laila Ma’rifatul; Pradani, Alvira Yusnia
Emerging Information Science and Technology Vol. 4 No. 1 (2023): May
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/eist.v4i1.18681

Abstract

Many people are interested in knowing how the public views President Joko Widodo's administration. Text Mining analysis can be one way to collect and analyze text data about Joko Widodo's administration and extract relevant information from the data. Data was obtained by collecting tweet data about Joko Widodo's government in 2022 on Twitter using Netlyitic. Then the Text Mining analysis of Joko Widodo's government was carried out using the Navie Bayes (NVB) classification and Support Vector Machine (SVM). This classification can be used to predict sentiment or public views of the government based on the tweets collected.  Based on a case study of the classification results of President Joko Widodo using Naive Bayesian classification, we obtained a precision value of 79%, a recall value of 91% and a precision value of 82%. And by using SVM, we get 85% precision, 95% recall, and 83% precision. Due to the high accuracy, recall, and precision, it can be said that SVM classification is more accurate than NVB.
Co-Authors Aditya Rangga, Pranadewa Agnes Tirza Awanda Anak Agung Alit Kirti Estuti Narendra Putri Annisa Noviani Arighi, Radityo Anindito Asroni, Asroni Auraningtyas Kurnia Ratri Azizah, Laila Ma’rifatul Azizan Ramli Azzahra, Syifa Bachtiar Chahyadhi Chahyadhi, Bachtiar Desilawati, Deka Fajariani, Ratna Fajariani, Ratna Fauzi Jatmiko Fitriani, Ila Fitriyani Nurjanah Hengky Ditya Eko Nugroho Ica Yuniar Sari Ila Fitriani Imanugraha, Dhiaulhaq Bagus Intifada, Winda Suryani Ipop Sjarifah Ipop Sjarifah Ipop Sjarifah Isna Qadrijati Kartika, Ayu Prima Khairiah Mohd Mokhtar Khotijah Khotijah Kowit Nambunmee Lusi Ismayenti, Lusi Mahardika, Muiz Mahendra, Putu Gede Oka Maulana, Teuku Syauqi Muiz Mahardika Muna Maimunah Salsabila Muzakki, Pambayun Khairul Rijal Nabila Dean Pradetha Nabylla Sharfina Sekar Nurriwanti Naufal Tio Widjanarko Nisa Nur Kusuma Nugroho, Hengky Ditya Eko Nurjanah, Fitriyani Nurriwanti, Nabylla Sharfina Sekar Pambayun Khairul Rijal Muzakki Pradani, Alvira Yusnia Pradetha, Nabila Dean Prasetya, Tofan Agung Eka Priwandhana, Bhaskara Satrya Putranto, Rofi Shiddieq Putri, Pinka Widiani Putri, Rachel Alma Syevina Qadrijati, Isna Qadrijati, Isna Rachel Alma Syevina Putri Rachmawati Prihantina Fauzi Rahma, Ratih Andika Akbar Ratih Andhika Akbar Rahma Ratna Fajariani Ratri, Auraningtyas Kurnia Reza Giga Isnanda, Reza Giga Rofi Shiddieq Putranto Sari, Ica Yuniar Seviana Rinawati, Seviana Sumardiyono Sumardiyono Sumardiyono Syifa Azzahra Tutug Bolet Atmojo Tutug Bolet Atmojo Tutug Bolet Atmojo, Tutug Bolet Tyas Lilia Wardani Tyas Lilia Wardani Utami, Panca Anisa Vitri Widyaningsih Wardani, Tyas Lilia Widjanarko, Naufal Tio Widjanarti, Maria Paskanita Yeremia Rante Ada