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All Journal Jurnal Manajemen Transportasi & Logistik (JMTRANSLOG) Journal of Railway Transportation and Technology
Raharjo, Efendhi Prih
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Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering Transportation Other

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THE ASLA INTELLIGENT SENSOR IN ENERGY-SAVING AND ENVIRONMENTALLY FRIENDLY DIRECTIONAL LIGHTING SETTINGS: ENERGY SULISTIYO, HAFIZH; Azalig, Risyad; Wicaksana, Bimashena Aprilio; Raharjo, Efendhi Prih; prasetiyo, Alfian yuda; Dewi, Puspita; Nurhadi, Muhamad
Journal of Railway Transportation and Technology Vol. 3 No. 2 (2024): November
Publisher : Politeknik Perkeretaapian Indonesia Madiun

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37367/jrtt.v3i2.53

Abstract

This research develops and tests an innovative tool called ASLA (Automated Signal Light Brightness Adjustment) designed to automatically adjust the brightness of train signal lights based on environmental conditions such as light intensity, rain, and fog. The main purpose of this tool is to reduce the waste of electrical energy caused by using lights with constant brightness intensity all the time. An experimental method is used in this research, where tests are conducted by measuring important variables such as light intensity, current, voltage, and LED brightness. It uses sensor fusion techniques to combine data from various sensors, such as LDRs, rain sensors, and gas sensors, to obtain accurate environmental information. The test results showed that the ASLA tool successfully reduced power consumption from 2.37W to 2.24W, contributing to electricity savings. In addition, the variation of LED power decreased to less than 0.2W under certain weather conditions. This research proves that ASLA functions optimally by increasing the efficiency of electrical energy use in train signal lights.
Digital Communication, Work Facilities, and Coordination at Soekarno-Hatta Airport Rahandhi, Rezha; Abdurachman, Edi; Sari, Mustika; Raharjo, Efendhi Prih
Jurnal Manajemen Transportasi & Logistik (JMTRANSLOG) Vol 12, No 1 (2025): Maret
Publisher : Institut Transportasi dan Logistik Trisakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54324/j.mtl.v12i1.1659

Abstract

The objective of this study was to examine the influence of digital communication, work facilities, and coordination on job satisfaction and work performance among Police and Non-Police workers at Soekarno-Hatta Airport. A mixed methods approach was used, incorporating a convergent parallel design where both quantitative and qualitative data were gathered simultaneously. Quantitative data from surveys provided insights into the effects of digital communication, work facilities, and coordination on job satisfaction and performance. Qualitative data from interviews and observations offered a deeper understanding of individuals' experiences and perceptions. The study included 333 participants from various sectors, including Police, Military, Immigration, Customs, Avsec, and Airport Authorities. The results indicated that the quality of work facilities, coordination, and digital communication positively impacted work performance, leading to increased job satisfaction. Additionally, the findings revealed significant differences in perceptions of work effectiveness, coordination quality, work facilities, digital communication, and job satisfaction between Police and Non-Police personnel. This comprehensive approach enhanced the accuracy and reliability of the research, providing practical insights for improving job satisfaction and work efficiency at Soekarno-Hatta Airport. This study incorporates Job Satisfaction Variables derived from Luthans (2015), Work Facilities Variables from Astono (2021), Digital Communication Variables from Ku & Chen (2016), Coordination Variables from Abdurrahman (2013), and Work Effectiveness Variables from Steers (2015).
Co-Authors Alfian Yuda Prasetiyo Azalig, Risyad Edi Abdurachman Mustika Sari, Mustika Nurhadi, Muhamad Puspita Dewi, Puspita Rahandhi, Rezha SULISTIYO, HAFIZH Wicaksana, Bimashena Aprilio