Article Per Year (5 Year)
p-Index From 2021 - 2026
0.444
P-Index
This Author published in this journals
All Journal G-Tech : Jurnal Teknologi Terapan Jurnal Pembina
Nurlina, Dedek
Unknown Affiliation
Computer Science & IT Decision Sciences, Operations Research & Management Education Energy Engineering Environmental Science Languange, Linguistic, Communication & Media Other

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
Penyuluhan Pengolahan Sampah untuk Mengingkatkan Kesadaran Lingkungan Bagi Siswa Sekolah Dasar Negeri 101826 Tuntungan Wati, Putri Kurni; Nurlina, Dedek; Siregar, Salsabila Putri Hati; Pandia, Nur Aisyah; Ramadani, Putri; Mahbub, Zaki
Jurnal Pembina Vol. 1 No. 1 (2025): Mei 2025
Publisher : CV. Multimedia Teknologi Kreatif

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65230/pembina.v1i1.26

Abstract

Pemahaman mengenai bahaya sampah sejak usia dini merupakan langkah penting dalam membentuk kesadaran lingkungan yang berkelanjutan, mengingat sampah telah menjadi permasalahan serius di berbagai wilayah. Kegiatan pengabdian kepada masyarakat ini bertujuan untuk memberikan edukasi kepada siswa-siswi Sekolah Dasar Negeri 101826 Tuntungan terkait bahaya sampah bagi lingkungan serta upaya penanganannya yang dapat diterapkan di lingkungan sekitar mereka. Metode pelaksanaan terdiri atas beberapa tahapan, yaitu observasi kondisi awal, wawancara dengan pihak sekolah, sosialisasi materi, implementasi kegiatan edukasi lapangan, dan evaluasi hasil. Seluruh siswa SD Negeri 101826 Tuntungan terlibat aktif dalam kegiatan ini. Hasil pelaksanaan menunjukkan adanya peningkatan signifikan dalam pemahaman siswa mengenai dampak negatif sampah terhadap lingkungan. Siswa mampu membedakan sampah organik dan nonorganik, serta memahami langkah-langkah pengelolaan sampah yang tepat, mulai dari pemilahan hingga penerapan prinsip 3R (Reduce, Reuse, Recycle). Temuan ini mengindikasikan bahwa pendidikan lingkungan berbasis partisipasi aktif mampu membentuk kesadaran ekologis siswa sejak dini, yang diharapkan berdampak positif terhadap perilaku mereka di masa depan.
Implementation of the Monte Carlo Method in Random Walk Models for Analyzing Gambling Bankruptcy Problems Dharmawan, Kaka Davi; Gibran, M. Khalil; Melisma, Cici; Nurlina, Dedek; Riziq, Muhammad Nafis; Tanjung, Alfin Mubarkah
G-Tech: Jurnal Teknologi Terapan Vol 10 No 1 (2026): G-Tech, Vol. 10 No. 1 January 2026
Publisher : Universitas Islam Raden Rahmat, Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70609/g-tech.v10i1.9016

Abstract

Gambler's Ruin Problem (GRP) is a basic stochastic model used to analyze the probability of a player reaching a target wealth versus losing all capital through sequential random games. This study has two main objectives: to validate the Monte Carlo simulation model against established theoretical results and to conduct a comprehensive sensitivity analysis of the probability of bankruptcy and game duration relative to the probability of winning , initial capital , and target capital . The simulation model was developed in Python as a one-dimensional random walk model, using  replications for initial validation. The results show a high degree of conformity, with an empirical simulation probability of 0.5004 compared to a theoretical value of 0.5000, in accordance with the Law of Large Numbers. Sensitivity analysis shows that a small deviation in  (e.g.,  drastically increases the probability of bankruptcy to over 88%. Furthermore, the average game duration peaks in the fair scenario  at 2,502 steps and decreases significantly under biased conditions. This study confirms the effectiveness of the Monte Carlo method in measuring the impact of the “house advantage” and provides counterintuitive insights into the dynamics of stochastic games.
Co-Authors Dharmawan, Kaka Davi Gibran, M. Khalil Mahbub, Zaki Melisma, Cici Pandia, Nur Aisyah Ramadani, Putri Riziq, Muhammad Nafis Siregar, Salsabila Putri Hati Tanjung, Alfin Mubarkah Wati, Putri Kurni