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Berry, Yunike
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Pentingnya Rambu Jalan Pada Lingkungan Sekolah di Desa Sumberreja Ammar Palupi, Nanda Aisyah; Sylviana, Rika; Berry, Yunike; Rusham
Jurnal Pengabdian Masyarakat Bhinneka Vol. 1 No. 4 (2023): Bulan Juli
Publisher : Bhinneka Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58266/jpmb.v1i4.61

Abstract

Desa Sumberreja memiliki 6 sekolah yang terdiri dari 4 Sekolah Dasar (SD) dan 2 MI (Madrasah Ibtidaiyyah). Setelah dilakukan observasi di Desa Sumberreja, ditemukan bahwa desa tersebut tidak memiliki rambu-rambu lalu lintas. Rambu lalu lintas merupakan salah satu fasilitas penting di jalan raya. Tidak adanya rambu-rambu lalu lintas dapat membahayakan para pengguna jalan. Pada kesempatan kali ini, program kerja khusus difokuskan pada pembuatan fasilitas jalan berupa rambu lalu lintas di SDN Sumberreja 03 yang berada di jalan utama Desa Sumberreja. Metode yang digunakan dalam menyelesaikan program kerja khusus ini meliputi survey, pelaksanaan dan pemantauan secara berkala. Setelah dilakukan survey, diputuskan untuk dibuat dua rambu jalan di SDN Sumberreja 03. Dua rambu jalan yang dibuat adalah peringatan hati-hati dan peringatan banyak lalu lintas pejalan kaki anak-anak. Diharapkan setelah adanya rambu lalu lintas, pengguna jalan lebih berhati-hati dalam berkendara terutama di lingkungan sekolah. Selain itu, pihak desa sebaiknya rutin mengadakan sosialisasi untuk mengedukasi masyarakat Desa Sumberreja tentang arti dari rambu lalu lintas serta tidak memperbolehkan anak dibawah umur berkendara. Pihak desa juga harus menambah rambu lalu lintas di daerah rawan sebagai peringatan kepada pengguna jalan.
Mengelola Risiko dan Ketidakpastian dalam Capital Budgeting Sri Mulyani, Ade; Yusuf, Muhammad; Berry, Yunike; Yanti, Etyca Rizky; Rantina, eilanta; Lestari, Tri
Jurnal Pendidikan Matematika : Judika Education Vol. 8 No. 6 (2025): Jurnal Pendidikan Matematika:Judika Education
Publisher : Institut Penelitian Matematika, Komputer, Keperawatan, Pendidikan dan Ekonomi (IPM2KPE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31539/hcaggv98

Abstract

Capital budgeting is a crucial aspect of long-term investment decision-making, particularly under conditions of risk and uncertainty. The literature shows that traditional methods such as Net Present Value (NPV) and Internal Rate of Return (IRR) are still dominant, although they are often inadequate to address the dynamics of the global economy, policy, and markets. Therefore, capital budgeting theory and practice are evolving by adopting advanced techniques, including sensitivity analysis, Monte Carlo simulations, decision trees, and real options, which offer flexibility in the face of uncertainty. This study employed a Systematic Literature Review (SLR) method based on the PRISMA 2020 guidelines, with the primary source being the Scopus database. The selection process yielded 2,709 initial articles, which, after filtering for publication year (2020–2025), language, open access, and keyword relevance, were narrowed down to 90 eligible articles for further analysis. Bibliometric data was then mapped using the VOS viewer to visualize the interconnections between topics. The study's results show an increasing publication trend post-COVID-19 pandemic, with research dominated by energy, infrastructure, and climate policy. The analysis also uncovered research gaps, particularly in the digital sector, MSMEs, and developing country contexts. In conclusion, this study emphasizes the need for a hybrid quantitative-behavioral approach to capital budgeting and opens up research opportunities related to the integration of sustainability aspects into investment decisions.   Keywords: capital budgeting, risk, uncertainty, bibliometrics
Co-Authors Ade Sri Mulyani Alfiyyani, Eka Farras Ammar Palupi, Nanda Aisyah Bhaskara, Reza Trie Erna J. Malaikosa Fathimah, Charmelia Hastuti, Isti Puji Hendrayati, Sri Lestari Kabolomou, Adiyanto Kurniawati Mulyanti Landerius Maro Leki, Aina M. Lekidela , Bernadus H. Malihing, Deven T. Manapa, Imanuel Y. H. Marginingsih, Ria Muhammad Yusuf Mungkabel, Mariana Palinata, Makdalena Rantina, eilanta Rika Sylviana Rusham Syahidah, Najmah Faiha Nurul Tang, Veronica Lobang Tri Lestari Yanti, Etyca Rizky