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All Journal Jurnal Rekayasa Mesin JOURNAL AGRIBUSINESS Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) AGRITEKNO, Jurnal Teknologi Pertanian Jurnal Lemuru : Jurnal Ilmu Perikanan dan Kelautan Indonesia JPPS (Jurnal Penelitian Pendidikan Sains) JUMANTIK: Jurnal Mahasiswa dan Peneliti Kesehatan Jurnal Teknologi Pendidikan : Jurnal Penelitian dan Pengembangan Pembelajaran Tekstur (Jurnal Arsitektur) Improvement: Jurnal Manajemen dan Bisnis Journal of Comprehensive Science JURNAL ILMU MANAJEMEN SABURAI (JIMS) Jurnal Pengabdian Masyarakat dan Inovasi Teknologi JURNAL TEKNOLOGI PANGAN DAN ILMU PERTANIAN (JIPANG) Journal of Artificial Intelligence and Digital Business Dedication : Jurnal Pengabdian Masyarakat Jurnal Pendidikan Teknologi Pertanian Dharma Pendidikan Jurnal Rekayasa Mesin
SETYAWAN, BAGUS
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Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Materials Science & Nanotechnology Mechanical Engineering Physics Social Sciences Other

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Chemical Content Evaluation of Peaberry Robusta Green Bean Using FT NIRS Method Setyawan, Bagus; Arista, Yuvita Lira Vesti; Utami, Arfiati Ulfa
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 Anggraeni, Siti Lutfiah; Utami, Arfiati Ulfa; Setyawan, Bagus; Kurnia, Tristi Indah Dwi
Jurnal Pendidikan Teknologi Pertanian Vol. 11 No. 2 (2025): Agustus (On Progress)
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.
Co-Authors Agnes Juniarti Chastelyna, Agnes Juniarti Akhmad Afandi Amin, Muhammad Zainal Roisul Anggraeni, Siti Lutfiah Anis Anis Arfan, Iskandar Arfiati Ulfa Utami Arfiati, Arfiati Ulfa Utami Arindra Trisna Widiansyah, Arindra Trisna Arista, Yuvita L V Arista, Yuvita Lira Badaruddin, Moh Candra Ali Dewanto Dewanto Diana Zuhroh Failasuf Herman Hendra Hermawan, Reza Ronny Ismael Saleh Mauliddah, Nurullaili Moniz, Joana Paula Gerabella da Costa Muhandhis, Isnaini Mulyana, Phonny Aditiawan Prasetio, Vio Jhondan Pratama, Theo Yolanda Prihat Assih Rahman, Taufik Nur Rahmatur Aji, Bagas Retna Safriliana Rofiah, Ika Aliyatur R. Rosiana Ulfa Salisnanda, Rendy Pratama Sari, Mamik Usniyah Tristi Indah Dwi Kurnia Utami, Arfiati U Yuvita Lira Vesti Arista Zulganev, Zulganev