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Contact Name
Irfan Aditya Dharma
Contact Email
irfan.adharma@uii.ac.id
Phone
+6283867709733
Journal Mail Official
teknoin@uii.ac.id
Editorial Address
Faculty of Industrial Technology KH. Mas Mansyur Building Universitas Islam Indonesia Jl. Kaliurang KM. 14,5 Sleman Yogyakarta 55584
Location
Kab. sleman,
Daerah istimewa yogyakarta
INDONESIA
Jurnal Teknoin
ISSN : 08538697     EISSN : 26556529     DOI : -
Core Subject : Engineering,
Teknoin memiliki komitmen untuk mempublikasikan topik-topik dalam bidang teknologi industri. Selain itu, dengan fitur jurnal open-access, diharapkan Teknoin dapat menjadi rujukan akademis tanpa batas baik untuk penelitian, pengajaran, maupun tujuan akademis lainnya.
Articles 5 Documents
Search results for , issue "Vol. 30 No. 1 (2025)" : 5 Documents clear
Implementasi Sistem Kendali Otomatis Pada Industri Manufaktur: Kajian Literatur Kurniawan, Mohammad Simar Kurniawan; Wijaya, Kahfi; Hardi Purba, Humiras
Teknoin Vol. 30 No. 1 (2025)
Publisher : Faculty of Industrial Technology Universitas Islam Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20885/teknoin.vol30.iss1.art1

Abstract

The implementation of automatic control systems has become a crucial element in the development of modern industries and smart home technologies. These systems, comprising sensors, controllers, and actuators, enable more efficient operations, reduce human errors, and increase productivity. In the era of Industry 4.0, the application of automatic control has expanded from manufacturing to various aspects of daily life, such as smart homes that can automatically regulate temperature and lighting. Various control techniques, such as PID, fuzzy, and model predictive control, have been developed to meet the specific needs of different industries. This literature review aims to provide comprehensive insights into the basic concepts, techniques, and methods used in automatic control systems, as well as to identify existing challenges and opportunities. Through a systematic review of 35 relevant articles, this study reveals various practical applications and benefits of automatic control systems and suggests broader and more effective adoption of this technology to enhance quality and efficiency across various sectors.
Designing Risk Control Strategies Using HIRARC-Based Risk Management to Comply Occupational Health and Safety Management System Standards in Manufacturing Activities Auldy Setia Mahendra; Irwan Iftadi
Teknoin Vol. 30 No. 1 (2025)
Publisher : Faculty of Industrial Technology Universitas Islam Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20885/teknoin.vol30.iss1.art2

Abstract

Occupational Health and Safety (OHS) is essential for protecting workers from accidents and work related diseases. At manufacturing area PT. XYZ, OHS issues include no compliance with the Occupational Health and Safety Management System (OHSMS) regulations, lack of hazard identification, risk assessment, and control, and insufficient attention to OHS by operator. This study aims to analyze hazards, assess risks, and design appropriate risk control strategies. Using the HIRARC method, which has been proven effective in previous research. The result show that 40.74% of risks fall into the high category, followed by medium (29.63%), low (22.22%), and extreme (7.41%). Risk control strategies based on the Hierarchy of Control are recommended, including eliminating or reducing hazards by distancing hazardous substances from machine areas, replacing parts with safer alternatives, and switching to CNC machines. Engineering controls, such as ergonomic chair designs for operators and noise reduction, administrative controls like procedure design and OHS training, and the use of personal protective equipment (PPE) are also suggested to minimize risks and ensure compliance with established standards.
Penggunaan Artificial Intelligence dalam perhitungan dinamis sudut kontak hysteresis pada droplet Yuana, Kumara Ari; Hadinegoro, Arifiyanto; Wibowo, Teguh; Mawarni, Drajat Indah; Pambudi, Agung
Teknoin Vol. 30 No. 1 (2025)
Publisher : Faculty of Industrial Technology Universitas Islam Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20885/teknoin.vol30.iss1.art3

Abstract

Sudut kontak hysteresis (SKH) adalah selisih antara sudut kontak maju (advancing) dan mundur (receding). Besaran ini merupakan indikator penting dalam karakterisasi kebasahan permukaan, yang berdampak pada berbagai aplikasi teknik dan industri seperti pendinginan semprot dan material anti-icing. Tujuan penelitian ini adalah untuk mengukur sudut kontak histeresis (SKH) pada permukaan logam panas menggunakan metode tumbukan droplet campuran air dan campuran etilen glikol (20%) yang direkam dengan kamera kecepatan tinggi (2000 fps). Penggunaan kamera berkecepatan tinggi menjanjikan kemampuan menangkap fenomena pergerakan tinggi tetapi memiliki keterbatasan-keterbatasan yang harus diselesaikan seperti noise dan thermal artifact. Untuk mengatasi noise citra akibat gerakan cepat dan thermal artifact, penelitian ini menerapkan pemrosesan citra berbasis kecerdasan buatan/artificial intelligence (AI) menggunakan arsitektur CNN (ResNet-18) dan GAN (ESRGAN). Hasil menunjukkan bahwa metode ini mampu meningkatkan kualitas citra dan akurasi pengukuran sudut kontak, dengan nilai rata-rata sudut kontak advancing sebesar 80,5°, receding sebesar 32,74° dan SKH 47,76°. Pendekatan ini menawarkan solusi efektif dan presisi tinggi dalam pengukuran SKH serta memberikan kontribusi terhadap pemodelan kebasahan permukaan pada sistem dinamis.
Work System Improvement Based NASA-TLX and SSRT to Reduce Mental Workload and Work Fatigue Ardana, Caesar Rifqi; Iftadi, Irwan
Teknoin Vol. 30 No. 1 (2025)
Publisher : Faculty of Industrial Technology Universitas Islam Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20885/teknoin.vol30.iss1.art4

Abstract

Work fatigue is a critical issue in modern industries, especially where high production targets must be achieved within limited timeframes. At GM Screen Printing, growing production demands have increased mental workload, which negatively affects employee performance and health. This study, involving 11 respondents, aimed to reduce mental workload and work fatigue through improvements in the work system. Two assessment tools were employed: the NASA Task Load Index (NASA-TLX), which measures six dimensions of workload (mental demand, physical demand, temporal demand, performance, effort, and frustration), and the Subjective Self Rating Test (SSRT), which evaluates work fatigue through indicators such as reduced activity, decreased motivation, and physical fatigue. Statistical analysis revealed a significant positive correlation between mental workload and work fatigue (r = 0.604; p = 0.049; n = 11). The main contributors to mental workload were temporal demand, performance expectations, and work effort, while fatigue was primarily associated with reduced activity and physical fatigue. Based on these findings, targeted improvements are recommended, including adjusting staffing levels to alleviate time pressure, enhancing ergonomic conditions to reduce physical strain, optimizing the work environment to support sustained performance, and providing stress management training to mitigate frustration and maintain motivation.
Pendekatan Six Sigma Dengan Tahapan DMAI Terhadap Kualitas Pada Kemasan Gula Putri, Ananda Hapsari; Wahyudi, Rizqi; Nugraha, Andhyka Tyaz
Teknoin Vol. 30 No. 1 (2025)
Publisher : Faculty of Industrial Technology Universitas Islam Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20885/teknoin.vol30.iss1.art5

Abstract

The objective of this study is to compute the Defects Per Million Opportunities (DPMO) metric and the Sigma Level of the organisation. Additionally, the study attempts to identify the underlying variables contributing to defects and propose recommendations for enhancing the process. This study employs a Six Sigma methodology, incorporating the Define, Measure, Analyse, Improve and Control (DMAIC) stages. According to the findings derived from the analysis of the data, the mean value of the company's Defects Per Million Opportunities (DPMO) is 97, while the standard deviation (sigma) is calculated to be 5.26. Defects can arise due to a combination of human factors, processes, and machines. Enhancements are devised in accordance with the underlying cause of the failure mode exhibiting the highest Risk Priority Number (RPN) value. The findings derived from the Failure Mode and Effects Analysis (FMEA) indicate that the ripped packaging issue can be attributed to an inadequate approach employed in the preparation of refined sugar. This particular cause was assigned a Risk Priority Number (RPN) value of 384. The suggested enhancement at PT. AHP involves modifying either the dimensions of the pallet or the configuration of refined sugar on the pallet. The occurrence of loose sutures can be attributed to inconsistent sewing techniques, which has been assigned a Risk Priority Number (RPN) value of 336. The suggested course of action for PT. AHP involves implementing routine preventative maintenance measures and ensuring optimal working conditions for personnel in the packing area.

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