Article Per Year (5 Year)
p-Index From 2019 - 2024
0.444
P-Index
This Author published in this journals
All Journal Jurnal Teknik Sipil dan Perencanaan Distribusi
Armyta Puspitasari
Politeknik Perkeretaapian Indonesia
Civil Engineering, Building, Construction & Architecture Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Industrial & Manufacturing Engineering Other

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
ANALISIS KESEHATAN KEUANGAN DAN PREDIKSI KEBANGKRUTAN PT KERETA API INDONESIA PERSERO SEBELUM DAN SETELAH PEMBERIAN INVESTASI PEMERINTAH Sapto Priyanto; Erifendi Churniawan; Armyta Puspitasari
Distribusi - Journal of Management and Business Vol. 10 No. 2 (2022): Distribusi, September 2022
Publisher : Fakultas Ekonomi dan Bisnis Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/distribusi.v10i2.215

Abstract

Perlambatan ekonomi akibat pandemi covid 19 berdampak pada ketidakstabilan kelangsungan usaha PT. KAI (Persero). Sebagai perusahaan BUMN infrastruktur yang melayani kepentingan masyarakat umum dalam bidang perkeretaapian, pemerintah telah mengupayakan pemberian pinjaman dalam bentuk investasi pemerintah kepada PT. KAI (Persero) sebesar 3,5 triliun lewat program pemulihan ekonomi nasional (PEN). Penelitian bermaksud memprediksi kondisi keuangan PT KAI (Persero) sebelum dan setelah pemberian investasi PEN untuk melihat sejauh mana pengaruh pemberian investasi terhadap perbaikan keuangan perusahaan.Penelitian menggunakan pendekatan kuantitatif dengan metode perbandingan rasio keuangan secara horisontal menurut Kepmen BUMN Nomor: KEP-100/MBU/2002 dalam menilai kesehatan perusahaan dan memprediksi kebangkrutan perusahaan menggunakan tiga metode financial distress yaitu altman z score, springate dan grover.Hasil penelitian menunjukkan adanya peningkatan kondisi kesehatan perusahaan sebelum dan setelah pemberian investasi dari total skor 17,5 dengan kategori kurang sehat B menjadi 20,5 dengan kategori kurang sehat BB. Sedangkan prediksi kebangkrutan dari tiga metode yang digunakan menunjukkan periode sebelum pemberian investasi semua metode menghasilkan kriteria tidak sehat yang mengarah kepada kebangkrutan sedangkan periode setelah investasi hanya model grover yang menyatakan sehat sedangkan metode lain masih menunjukkan kriteria yang mengarah kepada kebangkrutan.
Modeling The Generation And Attractiveness Of Passenger Demand Trips On The Madiun-Slahung Railway Reactivation Line Arinda Leliana; Nanda Ahda Imron; Handoko Handoko; Armyta Puspitasari; Blima Oktaviastuti
Jurnal Teknik Sipil dan Perencanaan Vol 25, No 1 (2023): April 2023
Publisher : Semarang State University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/jtsp.v25i1.34922

Abstract

The reactivation plan of the Madiun-Slahung railway line in the National Railway Master Plan is the main program for the development of the railway network and service stage IV in 2026-2030, therefore it is necessary to conduct research on the demand for traction and generation as well as passenger interest in the future Madiun- This shelters are reactivated. Based on the results of data analysis and discussion of the calculation of the Madiun-Slahung area, it can be concluded that the model of the reactivation area of the Madiun-Slahung railway covers 7 districts, consisting of 45 sub-districts/villages. The method used is a household survey (Household Interview) which is intended to produce data on travel patterns and characteristics that affect the trip. The number of trip generation occurs in the range of numbers 6939-22594 motorbikes/hour for trip production and 1123-52265 motorbikes/hour for trip attraction, where zone 2, Kartoharjo sub-district has the largest number of trip production and zone 4, Ponorogo sub-district has the largest number of trip attractions. This is due to the high population, number of vehicle ownership and the strength of attraction due to the large number of shops and campuses and schools in the zone. The largest travel distribution value occurs in zone 4, because the zone is land use for shops, offices, campuses and schools.
Co-Authors ARINDA LELIANA Erifendi Churniawan Handoko Handoko Nanda Ahda Imron Oktaviastuti, Blima Sapto Priyanto