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Menekan Turn Over Intention dengan Memaksimalkan Proses Rekrutmen pada UMKM Master Laundry Pekanbaru Resti Riandi; Irsyadi Zain; Jusmarni
Jurnal Ilmiah Pengabdian dan Inovasi Vol. 1 No. 4 (2023): Jurnal Ilmiah Pengabdian dan Inovasi (Juni)
Publisher : Insan Kreasi Media

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57248/jilpi.v1i4.226

Abstract

This community service activity aims to provide enlightenment in empowering human resources (employees) in a good work environment. The goal is to minimize employee turnover rates starting from the employee recruitment process, the attitudes of leaders and employees. In addition, there is also training in recording good and correct financial transactions. This service method uses seminars and training methods, the Community Service team is followed by a question-and-answer session from the audience. The seminar method provides an overview of how to become a leader who can influence his subordinates, training is used to apply what has been conveyed in the seminar. The material presented in this seminar discusses a good employee recruitment process by offering several stages of the employee recruitment process that are simple and commonly used. In addition to the employee recruitment process, material discussion is also directed to leaders and employees. Community Service Results as a whole the activity ran smoothly and it can be said that the participants were able to take part in the activity well. This activity involved lecturers from the Management study program in collaboration with Master Laundry as the target subject.
Penentuan Opsi Investasi Optimal pada Pasar Modal Volatil: Analisis Maximax, Maximin, dan Minimax Regret Akbar, Rahmat; Mar'aini; Jusmarni
Jurnal Pustaka Manajemen (Pusat Akses Kajian Manajemen) Vol 5 No 2 (2025): Jurnal Pustaka Manajemen
Publisher : Pustaka Galeri Mandiri

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Abstract

The increasing volatility of the capital market driven by global economic uncertainty requires investors to select optimal investment options despite limited information. This study aims to analyze investment decision-making using three primary approaches under uncertainty: the Maximax, Maximin, and Minimax Regret methods. The data consist of historical returns from several large-cap stocks listed on the Indonesia Stock Exchange (IDX) over the past three years, which show substantial fluctuations. The analysis compares payoff values under different market conditions (optimistic, moderate, and pessimistic) and calculates regret levels to identify the most efficient investment alternative. The findings indicate that the Maximax method favors high-risk stocks with the highest potential returns, the Maximin method prioritizes stable defensive stocks, while Minimax Regret offers the most balanced decision by accounting for potential opportunity losses. Managerial implications highlight the importance of understanding investor risk profiles when formulating investment strategies and the need for financial institutions to provide uncertainty-based analytical tools. This study contributes to the investment decision-making literature in volatile markets by demonstrating the applicability of classical uncertainty decision models in generating adaptive and measurable investment strategies.