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FOCUS GROUP DISCUSSION (FGD) PENANGANAN DAN PENCEGAHAN STUNTING MENUJU PINAGAR SEBAGAI NAGARI GENERASI EMAS Yulia M. Zai, Yovita; Yani Maidelwita; Asriwan Guci; Sri Suciana; Dian Febrida Sari; Rizka Ausrianti; Yusriana; Ilham Akerda Edyyul
JURNAL ABDI MERCUSUAR Vol. 5 No. 1 (2025): JURNAL ABDI MERCUSUAR
Publisher : LPPM Universitas MERCUBAKTIJAYA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36984/jam.v5i1.552

Abstract

Stunting merupakan masalah kesehatan yang memengaruhi kualitas hidup anak di Nagari Pinagar, Pasaman Barat. Focus Group Discussion (FGD) dilaksanakan sebagai forum lintas sektor untuk memetakan permasalahan sosial kesehatan ibu, bayi, dan balita guna mendukung upaya penanganan serta pencegahan stunting. Kegiatan dilaksanakan di Kantor Wali Nagari Pinagar – Kabupaten Pasaman Barat, pada Tanggal 4 September 2024 dengan melibatkan perangkat nagari, tokoh agama, tenaga kesehatan, kader-kader posyandu, dan masyarakat. Strategi utama adalah pengumpulan data partisipatif melalui diskusi terfokus. Kegiatan Pengabdian Kepada Masyarakat (PKM) ini menghasilkan suatu Forum FGD yang menghasilkan peta sosial, dimana tercerminkan faktor penyebab stunting dan solusi potensial dalam bentuk rencana tindak lanjut. Dalam kegiatan ini juga dihasilkan bahwa partisipasi masyarakat meningkat dan menghasilkan rekomendasi strategis untuk penguatan kesehatan ibu dan anak. Kata Kunci: Stunting, Nagari Pinagar, FGD.
Optimizing Pharmaceutical Logistics through Sales Forecasting of Black Cough Syrup 100 ml to Support Competitive Advantage at PT "X" Yulia M. Zai, Yovita; Syahfitri, Rini
Journal of Engineering Science and Technology Management (JES-TM) Vol. 5 No. 1 (2025): Maret 2025
Publisher : Journal of Engineering Science and Technology Management

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jestm.v5i1.225

Abstract

The pharmaceutical industry faces increasing pressure to maintain efficient supply chain operations amid dynamic market conditions. This study aims to identify the most accurate sales forecasting method to optimize pharmaceutical logistics and support the competitive advantage of PT “X” in producing Black Cough Syrup 100 ml. Using historical monthly sales data from August 2023 to January 2025, the study applies four quantitative forecasting techniques: Single Moving Average (SMA), Weighted Moving Average (WMA), Single Exponential Smoothing (SES), and Linear Regression. Forecast accuracy is evaluated using Mean Absolute Deviation (MAD) and Mean Absolute Percentage Error (MAPE). The results reveal that the 3-period SMA method yields the lowest forecast error (MAD: 954; MAPE: 21.09%) and is the most suitable model for the case. These findings highlight the strategic importance of integrating forecasting methods into pharmaceutical logistics to improve production planning, reduce stockout risks, and enhance customer satisfaction. By adopting accurate forecasting tools, PT “X” can strengthen interdepartmental coordination, improve inventory turnover, and build a sustainable competitive edge in the pharmaceutical market.