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EDUKASI PENCEGAHAN STUNTING DAN PELATIHAN KOMUNIKASI KESEHATAN KEPADA REMAJA DI DESA PURWOSARI, KECAMATAN SUKOREJO Yuniar, Miandhani Denniz; Bintang Amartiya Putri; Laila Syaidatul Karima Utami; Sitta Saraya
JURNAL INOVASI HASIL PENGABDIAN (JIHAN) Vol. 2 No. 2 (2024): JURNAL INOVASI HASIL PENGABDIAN (JIHAN)
Publisher : 3026-1791

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.45671/jihan.v2i2.54

Abstract

Desa Purwosari merupakan Desa dengan kasus stunting tertinggi di Kabupaten Kendal yaitu mencapai 57 kasus. Sementara jumlah kasus stunting di seluruh Kabupaten Kendal mencapai 5017 kasus, sebagian kasus terjadi karena adanya campur tangan nenek dan kakek yang memberikan asupan gizi alakadarnya kepada bayi sehingga mengalami stunting. Mitra yang bekerjasama dalam program pengabdian ini yaitu Bidan Desa dan Puskemas Sukorejo karena angka stunting di Sukorejo masih tergolong tinggi. Berdasarkan pemasalahan tersebut, program pengabdian masyarakat ini memiliki tujuan untuk meningkatkan pengetahuan remaja wanita terkait stunting dan cara pencegahannya serta meningkatkan keterampilan komunikasi bidan desa dalam menyampaikan hal-hal terkait stunting sehingga diharapkan masyarakat bisa lebih memahami tentang stunting dan bisa melalukan pencegahannya. Kegiatan ini dilakukan di Desa Purwosari dengan melibatkan 25 orang remaja wanita. Metode dalam kegiatan pengabdian masyarakat ini meliputi beberapa tahapan seperti tahap pertama yaitu persiapan kegiatan untuk analisis masalah dan kebutuhan mitra, tahap kedua yaitu pemberian edukasi mengenai stunting dan pelatihan komunikasi bidan desa, serta tahap ketiga yaitu evaluasi untuk mengetahui adanya peningkatan pengetahuan dan keterampilan bidan desa. Hasilnya terjadi peningkatan pengetahuan remaja wanita tentang stunting serta pemahaman tentang cara komunikasi yang baik kepada masyarakat menjadi meningkat.
Analysis of Insecurity in Gen-Z Influenced by TikTok Social Media Use Based on the Theory of Uses and Gratifications Yuniar, Miandhani Denniz; Hanipah , Aninda Hawa; Amrullah, Ezar
Jurnal Ekonomi Dan Statistik Indonesia Vol 5 No 2 (2025): Berdikari: Jurnal Ekonomi dan Statistik Indonesia (JESI)
Publisher : Future Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11594/jesi.05.02.15

Abstract

This study examines the integration of financial mathematics and artificial intelligence (AI), focusing on credit risk analysis within the financial industry. Traditionally, financial mathematics has played a central role in modeling and assessing credit risk. However, recent technological advancements have enabled a more synergistic relationship between financial mathematics and AI, particularly through the use of machine learning. This integration enhances risk assessment by leveraging classification algorithms to uncover complex patterns in historical data patterns that are often difficult to detect using conventional methods. Through a case study in the financial sector, this research explores the application of classification algorithms to better understand customer behavior, evaluate credit history, and predict the likelihood of future loan repayment. In the realm of machine learning, classification techniques are essential for processing large volumes of data and generating accurate risk predictions. By combining the analytical rigor of financial mathematics with the predictive power of machine learning, this study aims to develop a robust and adaptive model for credit risk analysis one capable of responding to dynamic market and economic conditions, and improving the overall decision-making process in credit assessment.
Supply Chain Agility in The Influence of Strategic Leadership Amrullah, Ezar; Yuniar, Miandhani Denniz
JURNAL Al-AZHAR INDONESIA SERI SAINS DAN TEKNOLOGI Vol 10, No 3 (2025): InPress
Publisher : Universitas Al Azhar Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36722/sst.v10i3.4828

Abstract

Supply chains must be able to adjust quickly in a dynamic and uncertain global business environment. The VUCA (Volatility, Uncertainty, Complexity, and Ambiguity) era demands that organisations and their alliances be proactive in anticipating and responding to change, rather than merely reacting to it. Supply chain agility is a crucial component that enables businesses to adapt, innovate, and maintain their competitive edge in rapidly changing market conditions. Building supply chain agility is therefore essential for maintaining business continuity and ensuring customer satisfaction. Previous literature from 2019 to 2025 was analyzed using a content analysis approach that aims to discuss the role of strategic leadership in building Supply Chain Agility (SCA). In this context, the role of innovation and digital transformation is shifting the paradigm from proactive to transformative. Dynamic capabilities serve as amplifiers, magnifying the positive effects of strategic leadership on supply chain agility. Resource orchestration bridges the gap between leadership decisions and the supply chain's achieved level of agility. This study affirms organisations need to consider building agility in conjunction with technological investment and process restructuring. However, organisations must prioritise the quality of strategic leadership that is capable of navigating uncertainty. Strategic leaders drive innovation, resilience, and cross-boundary collaboration within supply chains.Keywords - Digital Transformation, Resource Orchestration, Strategic Leadership, Supply Chain Agility, VUCA.