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All Journal Jurnal Gizi dan Pangan World Nutrition Journal Journal of Applied Agricultural Science and Technology IPTEKIN : Jurnal Kebijakan Pembangunan dan Inovasi
Laily, Noer
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Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Economics, Econometrics & Finance Health Professions Industrial & Manufacturing Engineering Medicine & Pharmacology Public Health

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Potensi Tanaman Sagu di Sentra Produksi Kabupaten Kepulauan Meranti dan Indragiri Hilir Provinsi Riau sebagai Sumber Karbohidrat Lokal Kusumawaty, Yeni; Harahap, Heryudarini; Gevisioner; Rasyid, Tengku Harunur; Warso Syahputra, Hasan; Hadi, Syaiful; Seygita, Vivin; Laily, Noer; Mulawati Purwanti Noviana, Ika
IPTEKIN Jurnal Kebijakan Pembangunan dan Inovasi Vol. 6 No. 2 (2024)
Publisher : Badan Riset dan Inovasi Daerah (BRIDA) Provinsi Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Di Provinsi Riau, penanaman sagu terluas terdapat di Kabupaten Kepulauan Meranti dan Kabupaten Indragiri Hilir. Komoditas sagu sangat potensial dikembangkan di Provinsi Riau untuk mendukung perekonomian masyarakat dan ketahanan pangan, namun saat ini pengolahan sagu masih belum berkembang secara signifikan. Penelitian ini mengkaji lebih lanjut potensi eksisting tanaman sagu dan potensi produk olahan sagu di dua sentra sagu di Riau untuk mendukung pengembangan karbohidrat lokal non beras. Penelitian ini dilakukan di Kabupaten Kepulauan Meranti dan Kabupaten Indragiri Hilir, yang dipilih berdasarkan purposive sampling, yakni dua kabupaten penghasil sagu terbesar di Provinsi Riau. Jenis data yang dikumpulkan adalah data primer dan sekunder. Pengumpulan data primer dilakaukan dengan menggunakan metode wawancara secara mendalam (in-depth interview) dan Focus Group Discussion (FGD). Hasil penelitian menyimpulkan bahwa: (1) Potensi dan produksi sagu pada dua kabupaten yaitu Kabupaten Kepulauan Meranti dan Indragiri Hilir relatif cukup untuk mensuplai pasar sagu di Indonesia, namun belum ada pencadangan sagu untuk menjamin suplai sagu sebagai bahan baku karbohidrat lokal di Provinsi Riau dan (2) Terdapat perbedaan data ketersediaan sagu untuk dikonsumsi di Provinsi Riau antara data Neraca Bahan Makanan (NBM) 2022 yaitu 37,22 kg/kapita/tahun dengan hasil penelitian di lapangan yaitu berkisar antara 4,25 – 8,50 kg/kapita/tahun. Perbedaan ini disebabkan terdapatnya persentase yang cukup besar dari sagu basah dan sagu kering yang dibawa keluar Kabupaten Kepulauan Meranti dan Indragiri Hilir yang belum terdata.
The Concept Design of Rice Quality Detection System Using Model-Based System Engineering Approach Cahyana, Purwa Tri; Sunarti, Titi Candra; Noor , Erliza; Hardjomidjojo, Hartrisari; Laily, Noer
Journal of Applied Agricultural Science and Technology Vol. 8 No. 4 (2024): Journal of Applied Agricultural Science and Technology
Publisher : Green Engineering Society

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55043/jaast.v8i4.256

Abstract

Quality of rice is determined by several factors such as water content, broken grains, and whiteness. The approach often used for the measurement is manual, time-consuming, and prone to error. Therefore, this research proposes a faster and more accurate rice quality detection system using Model-Based System Engineering (MBSE) approach. System was based on the needs analysis presented through an activity diagram showing the components and activities flow. Logical architecture diagrams were also used to structurally describe system logic to be further abstracted to the physical architecture stage. Moreover, machine learning techniques were used to simulate rice quality data analysis using the decision tree classification with the Iterative Dichotomizer 3 (ID3) algorithm. The simulation was applied to 200 supervised random datasets divided into 80% training and 20% test data with a focus on three attributes, including water content, broken grains, and whiteness. System design was developed using Visual Paradigm Community Edition software and the data were analyzed through the application of R software. The ID3 algorithm simulation produced rice quality detection system with a 92.5% accuracy rate, where 53% of rice was classified as good and 47% as bad. The proposed conceptual design for rice quality detection can be a starting point for the development of an industrial-scale system design.
Effect of food-based and iron-folic acid (IFA) supplementation on nutrient intakes in pregnant women Meisara, Naura Delfi; Fahmida, Umi; Laily, Noer
World Nutrition Journal Vol. 9 No. S1 (2025): Vol. 9 No. S1 (2025): Selected conference proceedings of the Nutri Symposium 2
Publisher : Indonesian Nutrition Association

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25220/WNJ.V09.S1.0013

Abstract

Nutrient deficiencies during pregnancy are worsened by poor intake and low adherence to supplementation. This study aimed to assess the impact of a food-based intervention using soy-hydrolysate and iron-folic acid (IFA) supplementation on the nutrient intake of pregnant women. This study aimed to assess the impact of a food-based intervention using soy-hydrolysate and iron-folic acid (IFA) supplementation on the nutrient intake of pregnant women
The Effect of Semangit Tempeh Cookies on MUAC, Hb, and Serum Ferritin in Pregnant Women with CED Kusumawaty, Nila; Sulaeman, Ahmad; Marliyati, Sri Anna; Laily, Noer; Fitriyah, Holif
Jurnal Gizi dan Pangan Vol. 18 No. Supp.1 (2023)
Publisher : The Food and Nutrition Society of Indonesia in collaboration with the Department of Community Nutrition, IPB University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25182/jgp.2023.18.Supp.1.108-110

Abstract

This study aimed to analyze the effect of semangit tempeh cookies on Mid-Upper Arm Circumference (MUAC), Hemoglobin (Hb), and Serum Ferritin (SF) of pregnant women with Chronic Energy Deficiency (CED) in Lebak, Banten. The study included 47 pregnant women with MUAC<23.5 cm who were divided into Control Group (CG) (n=22) and Intervention Group (TSG) (n=25). The mean increase in MUAC in the intervention group was 0.72±0.97 cm, while that in the control group was 0.75±1.23 cm (p>0.05), and there was an increase in hemoglobin levels of 0.84 mg/dL in the control group and 0.18 mg in the intervention group. The level of adherence to consumption of semangit tempeh cookies in the intervention group was lower than in the control group (p>0.05). The supplemental feeding of semangit tempeh cookies to pregnant women in intervention group did not have a significant effect on MUAC, Hb and serum ferritin compared to control group.
Co-Authors Ahmad Sulaeman Cahyana, Purwa Tri Erliza Noor Fitriyah, Holif Gevisioner Hartrisari Hardjomidjojo Heryudarini Harahap Kusumawaty, Nila Meisara, Naura Delfi Mulawati Purwanti Noviana, Ika Sri Anna Marliyati Syaiful Hadi Tengku Harunur Rasyid Titi Candra Sunarti Umi Fahmida Vivin Seygita, Vivin Warso Syahputra, Hasan Yeni Kusumawaty