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Power Deficit Analysis of Multiple Hydrokinetic Power Plants in an Open-Channel System Ikhsan, Muhammad; Zufrizal, Zufrizal; Taufik, Taufik
Circuit: Jurnal Ilmiah Pendidikan Teknik Elektro Vol 8, No 2 (2024)
Publisher : PTE FTK UIN Ar-Raniry

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22373/crc.v8i2.22091

Abstract

The electricity generation capacity of hydrokinetic power plants can be enhanced by paralleling multiple plants simultaneously. This study focuses on the longitudinal configuration of multiple hydrokinetic turbines installed in a water channel. The energy production rate of downstream turbines is lower than that of upstream turbines when placed close to each other. This observed phenomenon, related to the wake effect, has resulted in reduced flow velocity. In this research, a power deficit technique is employed as an alternative to the velocity deficit strategy. By estimating the open flow characteristic, or k*, this method aims to predict the downstream power input at any given time. Without directly measuring water velocity, power can be predicted using the power deficit model. A hybrid model combining the Bastankhah Porté-Agel model and the Geometry-Based model has been utilized in this study. The analysis results indicate that the power deficit and velocity deficit values differ by an average of 1.3% and 0.15%, respectively.
DAMPAK BOIKOT TERHADAP STABILITAS KEUANGAN PERUSAHAAN CEPAT SAJI YANG TERDAFTAR DI INDEKS SAHAM SYARIAH INDONESIA (ISSI): ANALISIS PREDIKSI KEBANGKRUTAN MENGGUNAKAN MODEL SPRINGATE rahayu, sri; Alifia Karina Putri, Adisty; Zufrizal, Zufrizal; Habibie, Azwansyah; Hakim, Inaya
Krigan: Journal of Management and Sharia Business Vol. 2 No. 2 (2024): Desember 2024
Publisher : Universitas Islam Negeri Sjech M. Djamil Djambek Bukittinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30983/krigan.v2i2.8755

Abstract

Penelitian ini bertujuan untuk menganalisis prediksi kebangkrutan pada perusahaan makanan cepat saji yang terdaftar di Indeks Saham Syariah Indonesia (ISSI) dan terkena dampak aksi boikot dengan menggunakan Model Springate sebagai metode evaluasi. Fokus penelitian adalah untuk menentukan tingkat risiko kebangkrutan dan mengidentifikasi perusahaan dengan potensi kebangkrutan tertinggi selama periode 2021-2023. Data yang digunakan adalah data sekunder yang diambil dari laporan keuangan triwulanan perusahaan. Metode analisis menggunakan pendekatan kuantitatif dengan Model Springate yang mencakup empat rasio utama: modal kerja terhadap total aset, laba sebelum bunga terhadap total aset, laba sebelum pajak terhadap liabilitas lancar, dan penjualan terhadap total aset. Hasil penelitian menunjukkan bahwa sebagian besar perusahaan dalam sampel berada dalam zona risiko kebangkrutan, terutama perusahaan dengan rasio likuiditas dan profitabilitas yang menurun secara signifikan. Secara khusus, perusahaan dengan skor Springate di bawah ambang batas 0,862 dianggap berpotensi bangkrut. Temuan ini memberikan wawasan bagi manajemen perusahaan untuk mengantisipasi risiko finansial dan dapat dimanfaatkan oleh para pemangku kepentingan untuk mendukung keputusan investasi serta pengembangan strategi keuangan di masa depan.   Abstract This study aims to analyze the prediction of bankruptcy in fast food companies listed on the Indonesian Sharia Stock Index (ISSI) and affected by boycotts using the Springate Model as an evaluation method. The focus of the research is to determine the level of bankruptcy risk and identify the companies with the highest potential for bankruptcy during the 2021-2023 period. The data used is secondary data taken from the company's quarterly financial statements. The analysis method uses a quantitative approach with the Springate Model which includes four main ratios: working capital to total assets, profit before interest to total assets, profit before tax to current liabilities, and sales to total assets. The results show that most of the companies in the sample are in the bankruptcy risk zone, especially companies with significantly decreased liquidity and profitability ratios. Specifically, companies with a Springate score below the threshold of 0.862 are considered potentially bankrupt. These findings provide insights for company management to anticipate financial risks and can be leveraged by stakeholders to support investment decisions and the development of future financial strategies.