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All Journal Jurnal Sosial dan Teknologi Jurnal Media Akademik (JMA) PESHUM
Jerry Haikal
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Religion Humanities Civil Engineering, Building, Construction & Architecture Economics, Econometrics & Finance Education Engineering Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Social Sciences Other

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THE IMPACT OF SHORTENED PRODUCT LAUNCH SCHEDULES ON THE TENDERING PROCESS IN THE PROPERTY INDUSTRY Jerry Haikal; Retno santoro
Jurnal Media Akademik (JMA) Vol. 2 No. 10 (2024): JURNAL MEDIA AKADEMIK Edisi Oktober
Publisher : PT. Media Akademik Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62281/v2i10.858

Abstract

The timing of product launches in the property industry is a strategic element that plays a significant role in overall project management and business sustainability. However, overly tight launch schedules can often trigger various problems during the tendering phase, particularly in selecting the right contractor aligned with the company's vision of creating high-quality products. One of the primary issues in accelerated tender processes is the inaccuracy of cost estimates, as limited time restricts the ability to conduct detailed and accurate calculations. Moreover, the quality of work often deteriorates due to limited time for thorough planning and execution. This condition also has the potential to exacerbate oversight processes and disrupt the overall project timeline. This study aims to understand the concrete impact of urgent launch schedules on the tendering process in property development projects. A grounded theory approach was employed as a research method to know deeply into the data through interviews with practitioners experienced in the field of tendering. Through this research, five themes and nine categories were identified as the impacts of short tender schedules. The themes collected were related to Cost, Tender Quality, Time, Vendor Quality, Company Culture, Company Regulation and Work Productivity. Of these themes, Cost had the highest frequency compared to the others. Therefore, it is hoped that this research will serve as a consideration for management in the property business before setting product launch schedules without compromising marketing strategies.
Perubahan Segmentasi Kinerja Keuangan Pada Industri Konstruksi Untuk Akuisisi Apriliyanto, Dimas Rahardiyan; Jerry Haikal
PESHUM : Jurnal Pendidikan, Sosial dan Humaniora Vol. 4 No. 3: April 2025
Publisher : CV. Ulil Albab Corp

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56799/peshum.v4i3.8297

Abstract

The Covid 19 pandemic that occurred in 2020 hit many companies hard, one of the worst impacts is companies engaged in the construction industry. The COVID-19 pandemic poses major challenges for construction companies in Indonesia, including project delays, financial problems, and operational adjustments. One of the strategies that companies can implement so that the company can survive or even grow is to conduct mergers and acquisitions. How to determine which prospective companies in the construction industry are worth acquiring. Data from 25 issuers that have been analyzed based on several financial ratios, namely D/E Ratio, ROA, ROE, NPM, Receivables Turnover Ratio, and Current Ratio. The author groups the changes in financial performance into five clusters from Very Good (A) to Very Bad (E) using IBM SPSS version 22 by performing K-Mean Cluster Classification. The results of the analysis are that there are 7 issuers that have the best performance in the period from 2022 to 2023. Of the 7 companies, there are 2 companies that have the best performance, namely PT Fimperkasa Utama Tbk (FIMP) so that this company is very feasible to be acquired and PT Adhi Karya (Persero) Tbk which is able to maintain its performance in the Excellent Category (A). So that PT Adhi Karya (Persero) can acquire PT Fimperkasa Utama Tbk (FIMP) as its subsidiary. In addition to the increase in performance, there are 14 companies that have the same performance as the previous year and remain in the Poor (D) category, namely PT Acset Indonusa Tbk, Bukaka Teknik Utama Tbk etc. There are 3 companies that have decreased performance. There are 3 companies that have decreased performance, namely PT Bangun Karya Perkasa Jaya Tbk, PT Wijaya Karya (Persero) Tbk and PT Waskita Karya (Persero) Tbk.
Financial Distress Analysis Using the Binary Logistic Regression Method in a Selected Infrastructure Company During Recovery Post-Pandemic COVID Joddiragadoni, Joddiragadoni; Agung Budi Darmoyo; Aisyah Abbas; Jerry Haikal
Jurnal Sosial Teknologi Vol. 5 No. 11 (2025): Jurnal Sosial dan Teknologi
Publisher : CV. Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/jurnalsostech.v5i11.32481

Abstract

Tujuan penelitian ini adalah untuk mengetahui pengaruh rasio keuangan dalam memprediksi probabilitas financial distress pada perusahaan sektor Infrastruktur terdaftar di Bursa Efek Indonesia (BEI) menggunakan laporan keuangan pada tahun 2023-2024 yang merefleksikan pemulihan kondisi kinerja keuangan tahun 2022 dan 2023, setelah Pandemi Covid-19 dinyatakan selesai pada tahun 2021, dimana pada saat Covid-19 pada tahun 2019, terjadi pelambatan ekonomi yang tentunya berpengaruh terhadap kinerja keuangan perusahaan pada saat itu yang bisa menimbulkan financial distress bahkan kebangkrutan jika tidak ditangani secara lanjut lewat program penyelamatan asset (PPA) oleh Pemerintah Indonesia. Metode penelitian menggunakan menggunakan metode Regresi Logistik Biner lewat Analisa SPSS, dengan variabel data yang menggunakan rasio profitabilitas berupa Return on Asset (ROA), Return On Equity (ROE) dan Net Profit Margin (NPM), variable Leverage berupa Debt to Equity rasio, variable Market Indicator berupa Price to Book value (PBV) dan Price to Earning ratio (PER) sebagai Independen Variabel (sumbu X) dan Sales Growth ratio atau rasion pertumbuhan pendapatan sebagai variable Dependen (sumbu Y) yang dipakai untuk menentukan apakah perusahaan mengalami financial distress (0) atau tidak mengalami financial distress (1). Hasil Analisa dalam SPSS dengan metode regresi binary logistic menunjukkan Variabel in Equation yang nilai signifikan dalam memprediksi financial distress adalah variable Net Profit Margin (NPM). Hasil penelitian menunjukan akurasi untuk observed dan predicted persentase kebenaran untuk perusahaan yang mengalami financial distress dan tidak mengalami financial distress masing-masing sebesar 28.4% dan 80.6%, yaitu 116 observasi diprediksikan secara benar dan 77 observasi diprediksikan sebaliknya. sehingga didapat akurasi dari model regresi yang dihasilkan adalah 54%. Untuk perusahaan yang mengalami financial distress tentunya membutuhkan bantuan pemerintah lewat Program Penyelamatan Aset (PPA) atau Program Penundaan Kewajiban Pembayaran Utang yang sudah jatuh tempo sebagai bagian dari upaya perbaikan kinerja keuangan perusahaan. Dari data sampel sebanyak 33 perusahaan tidak dalam potensi financial distress dan 35 perusahaan dalam potensi financial distress.
Co-Authors Agung Budi Darmoyo Aisyah Abbas Apriliyanto, Dimas Rahardiyan Joddiragadoni, Joddiragadoni Retno Santoro