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All Journal Jurnal Energi Dan Manufaktur Jurnal Keteknikan Pertanian Teknik dan Ilmu Komputer Sinergi Jurnal Sistem dan Manajemen Industri Jurnal Ergonomi dan K3 Jurnal Ilmiah Teknik Industri JURNAL Al-AZHAR INDONESIA SERI SAINS DAN TEKNOLOGI Jurnal Bakti Masyarakat Indonesia Journal Zetroem Prosiding Seri Seminar Nasional Electron: Jurnal Ilmiah Teknik Elektro JURNAL TEKNIK INDUSTRI Jurnal Mitra Teknik Industri
lamto widodo
Program Studi Teknik Industri, Fakultas Teknik, Universitas Tarumanagara
Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology Public Health Social Sciences Transportation Other

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FAKTOR RISIKO ERGONOMI DAN KESEHATAN KERJA PETANI PENGOLAH LAHAN PERTANIAN PADI BASAH Widodo, Lamto; Djaha, Rymartin Jonsmith; Hidayat, Michael
Jurnal Mitra Teknik Industri Vol. 4 No. 2 (2025): Jurnal Mitra Teknik Industri
Publisher : Universitas Tarumanagara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24912/jmti.v4i2.34951

Abstract

The agricultural sector is the backbone of the national economy, which is still dominated by manual work practices with high ergonomic risks. This impacts health, workplace accidents, and occupational diseases. This study aims to identify, analyze, and evaluate ergonomic risk factors in work activities in the agricultural sector, particularly in the process of preparing rice fields. This process consists of manual hoeing, manual land leveling, and land cultivation with a tractor. The study location is in Kolelet Village, Picung District, Pandeglang Regency, which is one of the rice granaries in Banten Province. The results of the Nordic Body Map (NBM) questionnaire showed that the most complaints were found in manual land leveling workers, followed by manual hoeing workers, and the least in tractor operators. The body parts most frequently experiencing musculoskeletal disorders (MSDs) were the shoulders, back, waist, arms, thighs, and calves. The results of the Rapid Upper Limb Assessment (REBA) analysis show that the work posture value for manual hoeing is 10 (High Risk), for manual land leveling the REBA value is 12 (Very High Risk), while for tractor operator work, the REBA value is 5 (Medium Risk). From the OWAS analysis, all three jobs are in the Red category, with the main factors being the workload and duration. For work environment conditions, 12:00 to 14:00 is the most dangerous hour with temperature, humidity in the danger category, and the UV index categorized as very high. The noise factor from the tractor sound ranges from 81-89 dB, still in safe conditions, with a work duration of between 2-6 hours a day.
PERANCANGAN LUMBAR SUPPORT TERHADAP KELUHAN MUSKULOSKELETAL PADA LINGKUNGAN KERJA PERKANTORAN Hidayat, Michael; Widodo, Lamto; Sukania, I Wayan
Jurnal Mitra Teknik Industri Vol. 4 No. 2 (2025): Jurnal Mitra Teknik Industri
Publisher : Universitas Tarumanagara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24912/jmti.v4i2.34964

Abstract

Office workers are at high risk of developing musculoskeletal disorders due to prolonged static sitting positions. This study was conducted at the Indonesia Exim bank to explore the relationship between office chair design particularly the presence of lumbar support and musculoskeletal complaints. The methods used included questionnaires, as well as assessments using RULA and the Nordic Body Map, involving 32 participants. The results indicated that the lower back and waist were the most frequently reported areas of discomfort. Although the chairs used were ergonomically designed, the lumbar support was not optimal. By designing a lumbar support based on anthropometric data, a significant improvement in posture comfort was observed.
PERANCANGAN ALAT BANTU KERJA BERDASARKAN ANALISIS ERGONOMI DI BAGIAN MANUAL HANDLING PT. XYZ Baeri, La Ode Muhammad Fardhan Sabil; Widodo, Lamto; Sukania, I Wayan
Jurnal Mitra Teknik Industri Vol. 4 No. 2 (2025): Jurnal Mitra Teknik Industri
Publisher : Universitas Tarumanagara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24912/jmti.v4i2.34966

Abstract

In the printing industry, ergonomic factors are often overlooked despite their significant impact on worker health and productivity. PT XYZ, as a packaging and carton printing company, is facing musculoskeletal disorders (MSDs) complaints in workers in the manual handling section due to non-ergonomic workstation design. This study aims to identify ergonomic risk factors, analyze MSDs complaints, and design ergonomic workstation improvements. The methods used include Nordic Body Map (NBM) for complaint mapping, Rapid Entire Body Assessment (REBA) for work posture analysis, and Workplace Ergonomic Risk Assessment (WERA) for ergonomic risk evaluation. The NBM questionnaire shows that the body parts of the 1st and 2nd shift workers who predominantly experience pain complaints are pain in the back, left hand and right knee. While the REBA method obtained a value of 9 in the most extreme posture which means high risk and needs improvement. While in WERA the final score is 34 which means that the tasks performed by workers need to be investigated and needed for improvement. Therefore, the design of work tables and work chairs is carried out to improve the work posture of PT XYZ workers. This design is tailored to the needs of workers at PT XYZ so as to reduce the risks that are likely to occur.
Fatigue analysis and design of a motorcycle online driver measurement tool using real-time sensors Soenandi, Iwan Aang; Oktavera, Isnia; Lusiana, Vera; Widodo, Lamto; Harsono, Budi
Jurnal Sistem dan Manajemen Industri Vol. 7 No. 2 (2023): December
Publisher : Universitas Serang Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30656/jsmi.v7i2.7500

Abstract

Work fatigue is an important aspect and is very influential in determining the level of accidents, especially motorbike accidents. According to WHO, almost 30% of all deaths due to road accidents involve two- and three-wheel­ed motorized vehicles, such as motorbikes, mopeds, scooters and electric bicycles (e-bikes), and the number continues to increase. Motor­cycles dominate road deaths in many low- and middle-income countries, where nine out of ten traffic accident deaths occur among motorcyclists, as in Indonesia. However, until now, in Indonesia, there has been no monitor­ing system capable of identifying fatigue in motorbike drivers in the transportation sector. This research aims to determine fatigue patterns based on driver working hours and create a sensor system to monitor fatigue measurements in real-time to reduce the number of accidents. The research began with processing questionnaire data with Pearson correlation, which showed a close relationship between driver fatigue and driving time and a close relationship between fatigue and increased heart rate and sweating levels. From calibration tests with an error of 3% and direct measurements of working conditions, it was found that two-wheeled vehicle driver fatigue occurs after 2-3 hours of work. With a measurement system using the Box Whiskers analysis method, respondents' working conditions can also be de­ter­mined, which are divided into 4 zones, namely zone 1 (initial condition or good condition), zone 2 a declining condition, zone 3 a tired condition and zone 4 is a resting condition. Hopefully, this research will identify fati­gue zones correctly and reduce the number of accidents because it can iden­tify tired drivers so they do not have to force themselves to continue working and driving their motorbikes. As a conclusion from this research, a measure­ment system using two sensors, such as ECG and GSR can identify work fatigue zones well and is expected to reduce the number of accidents due to work fatigue.
IMPLEMENTASI STRATEGI ERGONOMI KOGNITIF UNTUK KESEHATAN MENTAL KARYAWAN BERBASIS TIM DI PT. XYZ Ghazali, Hartana Adiputra; Widodo, Lamto; Sukania, I Wayan
Jurnal Ilmiah Teknik Industri Vol. 13 No. 1 (2025): Jurnal Ilmiah Teknik Industri : Jurnal Keilmuan Teknik dan Manajemen Industri
Publisher : Program Studi Teknik Industri, Fakultas Teknik Universitas Tarumanagara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24912/jitiuntar.v13i1.35530

Abstract

This study aims to identify employees’ mental workload and evaluate the effectiveness of cognitive ergonomics strategies within the team-based work system at PT. XYZ. Data collection involved the NASA-TLX method for measuring mental workload, the DASS-21 questionnaire to assess psychological conditions, and employee perceptions regarding the implementation of cognitive ergonomic strategies. Additionally, Pearson correlation analysis, Failure Mode and Effect Analysis (FMEA), and a Pareto diagram were used to support data interpretation. The results showed that most respondents experienced light to moderate mental workload, with generally positive perceptions toward the applied ergonomic strategies. Although statistical correlations among variables were not significant, data patterns and field findings suggest that cognitive ergonomics contribute to stress reduction and increased productivity. In conclusion, implementing appropriate and sustainable cognitive ergonomic strategies is essential to support mental health in a team-based work environment.
Perancangan Alat Pemantauan Konsumsi Listrik Multipoint Berbasis IOT untuk Meningkatkan Efisiensi Energi Charlie William; Hugeng; Lamto Widodo
ZETROEM Vol 7 No 2 (2025): ZETROEM
Publisher : Prodi Teknik Elektro Universitas PGRI Banyuwangi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36526/ztr.v7i2.6287

Abstract

Konsumsi energi listrik yang tidak efisien dapat menyebabkan pemborosan daya dan peningkatan biaya operasional. Penelitian ini bertujuan untuk merancang dan mengimplementasikan alat pemantauan konsumsi listrik multipoint berbasis Internet of Things (IoT) yang mampu mengirimkan data penggunaan daya secara nirkabel dan real-time. Sistem dirancang menggunakan sensor PZEM-004T (Closed CT) sebagai pengukur daya, mikrokontroler ESP32 sebagai unit pemroses utama, modul NRF24L01 sebagai media komunikasi antar node, serta WiFi untuk konektivitas ke Google Spreadsheet sebagai basis data dan antarmuka pengguna daring. Proses penelitian meliputi tahapan perancangan perangkat keras, pemrograman sistem, integrasi modul, serta pengujian fungsionalitas pada dua skenario beban, yaitu kombinasi charger laptop dan 3D printer. Hasil pengujian menunjukkan bahwa sistem mampu memantau parameter listrik—tegangan, arus, daya aktif, energi, dan faktor daya—dengan akurasi tinggi dan latensi rendah. Pada pengujian pertama, Node 1 mencatat rata-rata 212,42 V dan 21,64 W, sedangkan Node 2 mencatat 211,81 V dan 35,59 W. Pada pengujian kedua, Node 1 menunjukkan daya rata-rata 35,55 W, sementara Node 2 sebesar 85,10 W. Sistem terbukti dapat bekerja stabil untuk pemantauan multipoint tanpa kabel tambahan, dengan kemampuan pencatatan data otomatis dan akses daring. Hasil penelitian ini menunjukkan bahwa rancangan alat ini efektif digunakan sebagai solusi monitoring energi berbasis IoT untuk mendukung efisiensi dan manajemen energi listrik di lingkungan rumah tangga maupun industri.
ANALISIS FAKTOR RISIKO ERGONOMI PADA PEKERJA PT XYZ MENGGUNAKAN METODE REBA, WERA DAN OWAS Florenza Josefine Hindarto; Lamto Widodo; I Wayan Sukania
Jurnal Ilmiah Teknik Industri Vol. 13 No. 3 (2025): Jurnal Ilmiah Teknik Industri : Jurnal Keilmuan Teknik dan Manajemen Industri
Publisher : Program Studi Teknik Industri, Fakultas Teknik Universitas Tarumanagara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24912/jitiuntar.v13i3.37283

Abstract

The advancement of digitalization and automation has accelerated production processes, but often overlooks human factors, thereby increasing ergonomic risks such as musculoskeletal disorders (MSDs) among production workers. This study was conducted at a technology industry company in Cakung, East Jakarta, focusing on production workers identified as having MSDs risks through direct observation. The novelty of this research lies in the use of four methods in analyzing work activities to determine the dominant risk factors through the selection of the highest scores, compared to other studies that tend to use one to two methods for analysis. The objective of this research is to determine the highest risk level from four types of work activities using four methods. Data collection methods include observation, the Nordic Body Map (NBM) questionnaire, and photograph documentation of work activities. Data analysis utilized Rapid Entire Body Assessment (REBA), Workplace Ergonomic Risk Assessment (WERA), and Ovako Working Posture Analysis System (OWAS). The questionnaire results indicate the highest complaints with very strong pain in the back (14%), waist (13%), buttocks (8%), lower neck (7%), right upper arm (6%), right wrist (6%), and left thigh (6%). The work activity analysis yielded risk scores: lifting product (REBA 9, WERA 34, OWAS 3), assembly (REBA 5, WERA 36, OWAS 1), labeling (REBA 4, WERA 33, OWAS 2), and final packing (REBA 10, WERA 45, OWAS 2). The conclusion in this study is that the work activities of lifting products and final packing pose the highest ergonomic risks and require immediate intervention to prevent ongoing musculoskeletal disorders.
Co-Authors ., Wendy AA Sudharmawan, AA Adianto Adianto Adianto . Ahmad Ahmad Ahmad Ahmad Ahmad Akhromi, Muhammad Rafli andrean yonathan Andres Andres . Anggana Pranajaya Anggana Pranajaya Baeri, La Ode Muhammad Fardhan Sabil Bambang Pramudya Bambang Pramudya Budi Harsono BUDI HARSONO Charlie William Cherry Dewi Yuliana Dian Safhira Firdaus AK Djaha, Rymartin Jonsmith Elbert Elisha Sanjaya Endah Setyaningsih Fajar Aulia Kurniawan Felicia . Florenza Josefine Hindarto Geraldo Tjhindrata Ghazali, Hartana Adiputra Gozali, Lina Hanssen Irawan Tarunokusumo Herli, Willson Hensky Hidayat, Michael Hugeng I Wayan Sukania I Wayan Sukania Ignatius Erick Alfonso Isnia Oktavera Iveline Anne Marie Iwan Aang Soenandi Jennifer Juyanto Jennifer Juyanto Jesselyn Octavia Jhosua Septiono Jimmy Jimmy Kevin Ravenska Kevin Timotius Kevin Yota Kobat, Michael An Nahl Leonardo Yohanes Pujianto Lina Gozali Lina Gozali Lithrone Laricha Lithrone Laricha S Lithrone Laricha Salomon Lusiana, Vera M. Faiz Syu'aib M. Faiz Syu’aib Martin Bernhard Melynia Novita P Michelle Melsha Sugiarto Muhammad Zulkarnain Nathaniel, Nicholas Adrian Nofi Erni Nofi Erni Nofi Erni Oktavera, Isnia Priantoraharjo, Shafa Alauddino Regina Anggraini Regina Angraeni Reynold . Rio Alfandy Rizky Sari Nuranisa Rosalia Sugiono Sam Herodian Setiawan, Billiang Silvi Ariyanti Steven Angelo Tanuwijaya, Dharmawan Timotius, Kevin Tjahjaindra, Jordy Tony Gunawan Utama, Didi Widya Valerie, Christian Vera Lusiana Waskito, Febrianto Puji Wayan Sukania wilson kosasih Wilson Kosasih Wira Kumala Worangian, Hubert Benedict Yovita NG Yunike Poala Yunike Poala