Ajeng Tyas Damayanti
Politeknik Perkeretaapian Indonesia

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Simulation of AC Package Train Roof Structure Strength using Software Akbar Zulkarnain; Ajeng Tyas Damayanti; Muhammad Iqbal Yogapradana; Stefanus Sylvan Ryanto; Anggun Gilang Rupaka
Jurnal Teknologi Transportasi dan Logistik Vol. 3 No. 2 (2022): Desember 2022
Publisher : Pusat Penelitian dan Pengabdian Masyarakat Poltrada Bali

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Abstract

Modification of economic class coach originally is not designed to use package air conditioner. it was changed to use package air conditioner. It will be eliminated a few part of the train roof for air conditioner package holder. For ensure that the package air conditioner’s holder is safe, then it was analysed by strength analyses. Make remodeling the train roof and air conditioner holder structure with solidwork 2017. This structure use SS400 which has yield strength of 245 MPa., The mass of package air conditioner are 375 kg. The result of maximum stress is 31,866 MPa. Safety of factor’s result is 7,7. And then for the displacement’s value is 1173 mm. From this analysis shows that the structural strength of the package air conditioner’s holder is still in safe condition.
Studi Karakteristik dan Faktor Penumpang dalam Pemilihan Kereta Api Ranggajati Ary Putra Iswanto; Ariq Ghazy Abrary; Mariana Diah Puspitasari; Nanda Ahda Imron; Windi Nopriyanto; Ajeng Tyas Damayanti
Indo-Fintech Intellectuals: Journal of Economics and Business Vol. 4 No. 3 (2024): Indo-Fintech Intellectuals: Journal of Economics and Business
Publisher : Lembaga Intelektual Muda (LIM) Maluku

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54373/ifijeb.v4i3.1555

Abstract

The train is one of the modes of transportation that has advantages compared to other modes of transportation, such as saving space, an elevated level of security, free from congestion, high carrying capacity, and environmentally friendly. One of the modes of rail transportation available at Daop 9 Jember is the Ranggajati Train which has two classes, namely executive and business. Because there are class differences, everyone has several factors in choosing the train class. Therefore, a search for the effect of variables with the selection of the Ranggajati train class will be carried. This in the future can be used as an evaluation material for PT. KAI to improve services and facilities according to the characteristics of each class. In this study, primary data collection was conducted using a Google form for passengers of the Ranggajati train in executive class and business class. The data processing and analysis method uses descriptive statistics to get an overview of the characteristics of the Ranggajati train passengers. Subsequently, calculations were done using binary logistic regression of selecting the train class. The result of the research obtained passenggers characteristics are dominated by men, 21-25 years old, work as student, travel neccesities for education, income less than 1.000.000, expenses for transportation 100.000 until 300.000, private vehicle owned motorcycle and car.