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All Journal Jurnal Pengabdian Masyarakat Madani Journal of Economics, Entrepreneurship, Management Business and Accounting
Anindhyta Budiarti
Sekolah Tinggi Ilmu Ekonomi Indonesia (STIESIA) Surabaya, Indonesia
Religion Computer Science & IT Economics, Econometrics & Finance

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Analysis of Trends and Seasonal Patterns of Indonesian Leading Agricultural Commodity Exports: January 2023 – February 2026 Anindhyta Budiarti; Achmad Fakhri Dzulfiqar; Dewi Maryam
Journal of Economics, Entrepreneurship, Management Business and Accounting Vol 4 No 4 (2026): Volume 4, Issue 4, July 2026
Publisher : CV. Sakura Digital Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61255/jeemba.v4i4.1632

Abstract

Purpose – This study identifies monthly export trends of 13 leading Indonesia agricultural commodities (January 2023-February 2026), Analyze seasonal patterns via seasonal indices, compare export performance using CAGR and Coefficient of Variation (CV), and develop commodity segmentation for risk management and export planning. Design/methodology/approach – A descriptive-quantitative approach combined time series decomposition (additive and multiplicative), 3- and 6 month moving-average, CAGR, CV, and K-Means clustering on secondary monthly export data (USD million) for 13 commodities over 38 months from Statistics Indonesia (BPS) and analyzed using Python on Google Colaboratory. Finding/Results – Decomposition revealed seasonal patterns, with Coffee showing strongest amplitude, peaking in October and troughing in April. CAGR ranked Coffee (65,21%), Black Pepper, and Perennial Fruits as fastest-growing, while Maize, Seaweed, and Bird’s Nest contracted most. Bird’s Nest and Medicinal Plants were most stable, Maize and Black Pepper were most volatile. K-Means clustering (k=2) isolated Coffee as a distinct high-value Cluster (mean export USD 138,75 million). Informing a four-quadrant strategic Matrix combining CAGR, CV, and mean export value. Originality/Value – This study addresses five research gaps through multi-commodity coverage, monthly temporal granularity, integrated growth-volatility metrics, an evidence-based typology via K-Means clustering, and an interactive Python dashboard for real-time monitoring. Offering an empirical basis for differentiated export risk management strategies.
Penguatan Kapasitas Umkm Kabupaten Nganjuk Dalam Transformasi Menuju Pelaku Ekspor Berbasis Akses Informasi Perdagangan Global Yesa Cahayaning Ramadhani; Anindhyta Budiarti
Jurnal Pengabdian Masyarakat Madani Vol 6 No 1 (2026): Jurnal Pengabdian Masyarakat Madani (JPMM)
Publisher : Sekolah Tinggi Ekonomi Bisnis Syariah Bina Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51805/jpmm.v6i1.229

Abstract

Usaha Mikro, Kecil, dan Menengah (UMKM) memiliki kontribusi strategis terhadap perekonomian nasional, namun sebagian besar masih berorientasi pada pasar domestik dan menghadapi keterbatasan dalam akses ekspor. Pengabdian kepada masyarakat ini bertujuan untuk meningkatkan kapasitas UMKM di Kabupaten Nganjuk agar mampu menjadi pelaku ekspor dan memiliki akses terhadap informasi perdagangan global. Metode yang digunakan adalah Participatory Action Research (PAR) melalui tahapan observasi, identifikasi masalah, pelatihan, pendampingan, serta evaluasi program. Hasil kegiatan menunjukkan adanya peningkatan pemahaman pelaku UMKM mengenai prosedur ekspor, pemanfaatan platform digital, dan akses terhadap informasi pasar internasional. Program ini juga mendorong perubahan orientasi usaha dari pasar lokal menuju pasar global. Dengan demikian, kegiatan pendampingan berbasis partisipatif terbukti efektif dalam meningkatkan daya saing UMKM menuju pasar ekspor.
Co-Authors Achmad Fakhri Dzulfiqar Dewi Maryam Yesa Cahayaning Ramadhani