Oct 2026· Jurnal Ilmiah Manajemen dan Bisnis (JIMBis)
Abstract
Penelitian ini bertujuan untuk mengetahui dan mengkaji Determinan Nilai Perusahaan pada Industri Farmasi: Peran Ukuran Perusahaan, Profitabilitas, dan Likuiditas. Ukuran Perusahaan diproksikan dengan SIZE, Profitabilitas diproksikan dengan Return On Assets, serta Likuiditas diproksikan dengan Quick Ratio. Penelitian ini menerapkan metode kausal komperatif dengan pendekatan kuantitatif. Populasi penelitian terdiri atas perusahaan Subsektor Farmasi yang tercatat di Bursa Efek Indonesia (BEI) selama periode 2020 hingga 2024 dengan jumlah sebanyak 15 perusahaan. Teknik pengambilan sampel dilakukan melalui purposive sampling, sehingga diperoleh 7 perusahaan sebagai sampel yang memenuhi kriteria penelitian. Pengolahan dan analisis data dilakukan menggunakan Analisis Regresi Linier Berganda dengan bantuan program Statistical Program for the Social Science (SPSS) versi 26. Hasil temuan dari penelitian ini menunjukkan bahwa Ukuran Perusahaan (SIZE) berpengaruh positif dan signifikan terhadap Nilai Perusahaan, Profitabilitas (Return On Assets) berpengaruh positif dan signifikan terhadap Nilai Perusahaan, serta Likuiditas (Quick Ratio) berpengaruh negatif dan tidak signifikan teradap Nilai Perusahaan.
This publication proposes a definition and a classification of agile software development approaches and analyses ten software development methods that can be characterized as being "agile" against the defined criterion.
P. Abrahamsson, O. Salo, Jussi Ronkainen et al.· arXiv.org· 727 citations· ⚡54
The study shows that agile practices improve both informal and formal communication, but indicates that, in larger development situations involving multiple external stakeholders, a mismatch of adequate communication mechanisms can sometimes even hinder the communication.
M. Pikkarainen, Jukka Haikara, O. Salo et al.· Empirical Software Engineeri...· 401 citations· ⚡48
The results indicate that software engineering work practices are chosen opportunistically, adapted and configured to provide value under the constrains imposed by the startup context.
Nicolò Paternoster, Carmine Giardino, M. Unterkalmsteiner et al.· Information and Software Tec...· 394 citations· ⚡54
It is proved that any global minimizer of the trajectory balance objective can define a policy that samples exactly from the target distribution, and empirically demonstrate the benefits of the trajectories balance objective for GFlowNet convergence, diversity of generated samples, and robustness to long action sequenc...
Esmeralda S. Whitammer, Moksh Jain, Emmanuel Bengio et al.· Neural Information Processin...· 302 citations· ⚡60
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MIT News · Artificial Intelligence· news.mit.eduOct 8, 2026
Jennifer Neville did not want to go into computer science—but that’s exactly where she landed. Neville discusses the starts and stops that led to her professional sweet spot and her work identifying “surprising failures” making it hard for AI to handle complexity. The post What AI gets wrong and what failure teaches us appeared first on Microsoft Research.
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