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All Journal Jurnal Informatika Ekonomi Bisnis International Journal of Digital Entrepreneurship and Business (IDEB) Jurnal Manajemen dan Usahawan Indonesia
Cindi, Ramitha Janira
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Humanities Economics, Econometrics & Finance Education Environmental Science Social Sciences Other

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Apakah Work-Life Balance dan Komitmen Afektif Memediasi Praktik Sumber Daya Manusia terhadap Kinerja UMK? Desiana, Putri Mega; Cindi, Ramitha Janira
Jurnal Manajemen dan Usahawan Indonesia Vol. 43, No. 2
Publisher : UI Scholars Hub

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Abstract

Micro and Small Enterprises (MSEs) have an integral role in Indonesian society's growth and development, especially in the economic sector. This study aims to determine the mediating role of work-life balance and affective commitment to human resource practices and its impact on the performance of MSEs. Similar to large organizations, small organizations also implement HR practices, although they are still very simple, affecting the organization's performance. So far, work-life balance and affective commitment have been widely studied in large organizations and are considered essential in improving organizational performance. However, the role of work-life balance in improving small businesses' performance has not been widely studied. This study was conducted with a total of 134 respondents from MSEs in Jabodetabek. The analysis was carried out using structural equation modeling. Some interesting findings were found, the work-life balance, which usually has a positive effect turns out to have a negative and significant effect on the performance of MSEs. The reason is presumably because MSEs owners must do constant monitoring to continue smooth operational activities and increase organizational performance; hence the time spent in the workplace was increased.
Mengungkap Kehadiran Media Sosial Instagram dan Kualitas Pelayanan: Bagaimana Inovasi Memperkaya Kepuasan Pelanggan? Andini, Siwi Putri; Toar, Yandri Ardolof BL; Hartanto, Prasetyo; Cindi, Ramitha Janira
Jurnal Informatika Ekonomi Bisnis Vol. 6, No. 3 (September 2024)
Publisher : SAFE-Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/infeb.v6i3.955

Abstract

Tujuan penelitian ini adalah untuk menganalisis pengaruh dari media sosial Instagram, kualitas pelayanan terhadap kepuasan pelanggan serta mengetahui apakah inovasi memoderasi positif pengaruh media sosial Instagram dan kualitas pelayanan dengan objek yakni usaha jasa pada Milda Makeup. Dalam penelitian ini menggunakan metode kuantitatif. Populasi dalam penelitian ini semua konsumen yang pernah menggunakan layanan mekap dari Milda Makeup. Untuk jumlah sampel yang diambil adalah sebanyak 100 orang, dengan penentuan pengambilan sampel menggunakan non-probability sampling. Data yang digunakan dalam penelitian ini adalah data primer, yaitu dengan cara penyebaran kuesioner. Skala pengukuran yang digunakan adalah Skala Likert. Teknik analisis data yang digunakan dalam penelitian ini adalah teknik analisis data kuantitatif dengan menggunakan metode statistik. Metode statistik yang digunakan adalah Partial Least Square (PLS). Hasil dari penelitian menunjukkan bahwa Media Sosial Instagram berpengaruh positif dan signifikan terhadap Kepuasan Pelanggan, Kualitas Pelayanan berpengaruh positif dan signifikan terhadap Kepuasan Pelanggan, Inovasi memoderasi positif pengaruh Media Sosial Instagram terhadap Kepuasan Pelanggan dan Inovasi memoderasi positif pengaruh Kualitas Pelayanan terhadap Kepuasan Pelanggan.
Comparative Analysis of Financial Distress Models in Indonesian Multi-Industrial Manufacturing During COVID-19 Andriani, Siska Fifi; Rahardja, Liana; Efriadi, Adi Rizfal; Cindi, Ramitha Janira
International Journal of Digital Entrepreneurship and Business Vol 4 No 2 (2023): International Journal of Digital Entrepreneurship and Business (IDEB)
Publisher : Universitas Jakarta Internasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52238/ideb.v4i2.130

Abstract

Financial distress is a critical financial condition characterized by a company’s financial performance decline, resulting in reduced net income and challenges in meeting short- and long-term financial obligations. Left unaddressed, financial distress can ultimately lead to bankruptcy. Various predictive models, including the Altman Z-Score, Springate, Grover, Zmijweski, and Zavgren methods, are employed to forecast such distress. This study aims to assess the predictive accuracy of these models in analyzing financial distress and predicting bankruptcy across a diverse spectrum of manufacturing companies. Employing a quantitative and descriptive methodology, the research focuses on manufacturing firms listed on the IDX for 2016-2020, encompassing the impact of the COVID-19 pandemic. Data collection employs a purposive sampling method, with statistical analysis involving the computation of financial ratios from each bankruptcy prediction model. The study assesses the accuracy levels and error types of these models. Results indicate that Altman Z-Score, Springate, Grover, and Zmijweski demonstrated accuracy rates of 46.15%, 35.90%, 82.05%, and 69.23%, respectively. These models exhibit various error types and rates. In contrast, the Zavgren method displayed a remarkable accuracy rate of 100%, with no identified errors, establishing it as the most reliable predictor of bankruptcy, particularly within the Multi-Industrial Manufacturing Sector.
Co-Authors Adi Rizfal Efriadi, Adi Rizfal Andini, Siwi Putri Andriani, Siska Fifi Desiana, Putri Mega Prasetyo Hartanto Rahardja, Liana Toar, Yandri Ardolof BL