Yuliana, Septi
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ANALISIS STRUKTUR MODAL PADA PERUSAHAAN INDUSTRI SEMEN YANG TERDAFTAR DI BURSA EFEK INDONESIA PERIODE 2013-2015 Yuliana, Septi
Jurnal Ilmiah Mahasiswa FEB Vol. 5 No. 2
Publisher : Fakultas Ekonomi dan Bisnis Universitas Brawijaya

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Abstract

This research aims to analyze the cost of capital company and analyze the optimal capital structure of cement companies listed in the Indonesia Stock Exchange in the period 2013-2015. Method of data analysis in this research is done by doing WACC calculation, then compare it with industry average WACC value and combine it with firm value so that can be analyzed optimal capital structure in the company.From the result of this research can be known, based on calculation of weighted average cost of capital (WACC), the average WACC value at company in Cement Industry which listed in Indonesia Stock Exchange period 2013-2015 is equal to 10,41%. PT Semen Indonesia Tbk, PT Indocement Tunggal Prakarsa Tbk and PT Semen Batu Raja (Persero) Tbk have WACC value is over the industry average WACC value. While PT Holcim Indonesia Tbk has a lower WACC value compared to the industry average WACC value.Then based on WACC calculation and company value obtained result that PT Holcim Indonesia Tbk has optimum capital structure and PT Semen Batu Raja (Persero) Tbk not yet optimum. The WACC concept does not apply to PT Semen Indonesia (Persero) Tbk and PT Indocement Tunggal Prakarsa Tbk.Keywords: capital structure, firm value, cost of capital, optimal capital structure
Pengelolaan Deep Learning (Studi Kualitatif Di SD Negeri 84 Bengkulu Selatan Kecamatan Pino Raya Kabupaten Bengkulu Selatan) Yuliana, Septi; Danim, Sudarwan; Connie , Connie
Manajer Pendididikan Vol 19 No 3 (2025): MANAJER PENDIDIKAN
Publisher : UNIVERSITAS BENGKULU

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33369/mapen.v19i3.47451

Abstract

This study aims to describe the planning process of deep learning management at Elementary School Negeri 84 Bengkulu Selatan which includes planning, implementation, evaluation, supporting and inhibiting factors, and the impact of deep learning management on learning outcomes, motivation, and the development of higher order thinking skills. The method used is descriptive qualitative with interview, observation and documentation techniques. Data analysis was conducted using Miles and Huberman's interactive model consisting of data reduction, data presentation, and data verification. The results of the study were: 1). Planning is done through teacher meetings, learning objectives are adjusted to the independent curriculum, contextual materials, and flexible learning time for exploration and discussion.2). The implementation of deep learning uses project-based learning, inquiry, group discussions, experiments, and presentations. Students are actively involved through problem solving and collaboration. 3). Evaluation uses portfolios, rubrics, observation, and self-assessment. Results are used for feedback and learning improvement..4). The management of deep learning is supported by the principal, teachers, adequate facilities, parents' involvement, the obstacles are time constraints, lack of teacher training, and differences in students' abilities. 5). Improve learning outcomes, motivation, creativity, and students' critical thinking and problem solving skills.