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Efisiensi Pemasaran E-Commerce Agroindustri Kopi Luwak Omah Kopi Banyuwangi Bagus Setyawan; Arfiati Ulfa Utami, M.Pd
Jurnal Agriuma Vol. 5 No. 2 (2023): Jurnal Agriuma Oktober
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31289/agri.v5i2.10353

Abstract

Agroindustri Kopi Luwak “Omah Kopi” merupakan produsen kopi luwak liar di Banyuwangi. Banyaknya agroindustri pengolahan kopi menuntut tiap pelaku usaha untuk terus berinovasi terutama dalam hal pemasaran produk sehingga bisa maksimal. Perkembangan teknologi dan gaya hidup masyarakat membuat Agroindustri Kopi Luwak “Omah Kopi” melakukan strategi pemasaran melalui e-commerce baik lewat website omah kopi maupun lewat berbagai media sosial dan marketplace. Berdasarkan fenomena ini tujuan penelitian yang ingin ditelaah adalah untuk mengetahui efisiensi pemasaran secara e-commerce. Lokasi penelitian ini adalah di Agroindustri Kopi Luwak “Omah Kopi” Banyuwangi. Metode penelitian menggunakan pendekatan deskriptif kuantitatif dengan metode penelitian survei. Metode pengambilan sampel menggunakan metode snowball sampling. Metode analisis data menggunakan analisis efisiensi margin pemasaran. Berdasarkan hasil penelitian menunjukkan bahwa terdapat tiga saluran pemasaran pada agroindustri kopi luwak “Omah Kopi” dengan saluran pemasaran yang memiliki efisiensi paling baik adalah pada saluran pemasaran pertama yang merupakan pemasaran satu tingkat. Nilai efisiensi pemasaran sebesar 18% paling kecil dari dua saluran pemasaran lainnya. Kesimpulan penelitian ini bahwa Agroindustri kopi luwak ”Omah kopi” efisien dari segi penjualan secara e-commerce dan menjadi strategi pemasaran yang efektif seiring perkembangan jaman menuju revolusi industri 5.0 ini.
Chemical Content Evaluation of Peaberry Robusta Green Bean Using FT NIRS Method Bagus Setyawan; Yuvita Lira Vesti Arista; Arfiati Ulfa Utami
Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) Vol. 14 No. 1 (2025): February 2025
Publisher : The University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jtep-l.v14i1.202-214

Abstract

Mount Ijen is a prominent region for peaberry Robusta coffee beans, which has entered international markets. Accurate real-time estimation of its chemical components is crucial for export activities. This study evaluated moisture content, lipid, and caffeine in Robusta peaberry coffee beans from Ijen using FT-NIRS (Fourier Transform – Near Infrared Spectroscopy). A total of 50 samples were scanned in triplicate, generating 150 spectral data points. The data were optimized for wavelength selection and pre-treated using Standard Normal Variate Transformation (SNV), Second Derivative (dg2), Multiplicative Scatter Correction (MSC), and normalization. Results showed that FT-NIRS proved effective for rapid and accurate estimation of these components. The best calibration model used Kubelka-Munk transformation with dg2 pre-treatment in the 1000-2500 nm wavelength range. Optimal Partial Least Squares (PLS) factors were PLS 4 for lipid content (R2 = 0.98, SEP = 0.013%, SEC = 0.012%, CV = 0.81, RPD = 2.03, consistency = 95.21%), PLS 5 for moisture content (R2 = 0.94, SEP = 0.014%, SEC = 0.014%, CV = 0.80, RPD = 4.88, consistency = 101.02%), and PLS 5 for caffeine content (R2 = 0.94, SEP = 0.014%, SEC = 0.014%, CV = 0.80, RPD = 4.88, consistency = 101.02%). Keywords: Absorbance, Caffeine, Lipid, Moisture Content, Pre-Treatment.
Formulasi dan Analisis Nilai Gizi Biskuit Mocaf (Modified Cassava Flour), Kelor, Ikan Lemuru sebagai Pangan Fungsional Sumber Protein, Zat Besi dan Omega-3 Siti Lutfiah Anggraeni; Arfiati Ulfa Utami; Bagus Setyawan; Tristi Indah Dwi Kurnia
Jurnal Pendidikan Teknologi Pertanian Vol. 11 No. 2 (2025): Agustus
Publisher : Agricultural Technology Education Study Program

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26858/jptp.v11i2.9924

Abstract

Stunting remains a major public health problem in Indonesia, primarily caused by chronic nutritional deficiencies during the first 1,000 days of life. The development of functional foods rich in protein, essential fatty acids, calcium, and iron can help meet the nutritional needs of mothers and children. This study aimed to evaluate the nutritional composition of cookies made from mocaf flour, moringa leaf flour, and lemuru fish flour as a functional food to support the nutritional requirements of pregnant women in efforts to prevent stunting. A Completely Randomized Design (CRD) was used with four treatments, namely P0 (100% mocaf), P1 (82% mocaf, 15% moringa, 3% lemuru), P2 (75% mocaf, 20% moringa, 5% lemuru), and P3 (68% mocaf, 25% moringa, 7% lemuru), each repeated four times. The analyzed parameters included protein, fat, calcium, iron, and omega-3 fatty acids. Increasing the substitution of moringa and lemuru flours significantly enhanced the nutritional content of the cookies (p < 0.05), including protein, fat, calcium, iron, and omega-3 levels. The best formulation was obtained from cookies composed of 68% mocaf, 25% moringa leaf flour, and 7% lemuru fish flour (P3). This formulation contained 12.28% protein, 28.15% fat, 412.12 mg calcium, 2.99 mg iron, and 320.67 mg omega-3 per 100 g. The results of this study provide valuable insight into the utilization of mocaf, moringa leaves, and lemuru fish to support the nutritional needs of pregnant women and help reduce stunting prevalence in Indonesia.