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PEMBUATAN MI BASAH DENGAN SUBSTITUSI TEPUNG UMBI GARUT (Maranta arundinacea L.) DAN PENAMBAHAN KARAGENAN SEBAGAI PENGENYAL ALAMI Melda Safitri; Suharyono Suharyono; Dyah Koesoemawardani; Fibra Nurainy
Jurnal Agroindustri Berkelanjutan Vol 2, No 1 (2023): JURNAL AGROINDUSTRI BERKELANJUTAN
Publisher : Jurusan Teknologi Hasil Pertanian

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jab.v2i1.7133

Abstract

Tepung garut merupakan salah satu jenis tepung yang berpotensi menjadi substitusi dalam pembuatan mi basah. Tepung garut memiliki kelemahan yaitu tidak mengandung gluten sehingga perlu dilakukan penambahan bahan pengenyal alami berupa karagenan untuk memperbaiki karakteristik mi basah. Penelitian ini bertujuan untuk melihat pengaruh konsentrasi karagenan pada pembuatan mi basah substitusi tepung garut dan mendapatkan konsentrasi terbaik dari penambahan karagenan yang menghasilkan mi basah substitusi tepung garut dengan sifat sensori dan fisik paling baik serta karakteristik kimia sesuai SNI 2987-2015. Penelitian ini disusun secara non-faktorial dalam Rancangan Acak Kelompok Lengkap (RAKL) dengan 4 kali ulangan. Pada penelitian ini digunakan formulasi karagenan dengan 6 taraf konsentrasi (0%; 2%; 4%; 6%; 8%; 10%) dari total tepung. Data yang diperoleh diuji kesamaan ragamnya dengan uji Barlett dan kemenambahan data diuji Tuckey. Data kemudian dianalisis sidik ragam dan diuji lanjut dengan uji Beda Nyata Jujur (BNJ) pada taraf 5%. Pada penelitian ini, mi basah substitusi tepung garut dengan konsentrasi karagenan 10% (B6) merupakan perlakuan terbaik yang memiliki kadar air 63,63%, kadar abu tak larut asam 0,04%, kadar protein 5,22%, cooking loss 8,74% dan daya serap air 102,97%, warna putih gading, rasa sedikit asin, tekstur kenyal dan aroma agak tepung.
PENGARUH FEAR OF MISSING OUT (FOMO) DAN FLASH SALE TERHADAP KEPUTUSAN PEMBELIAN DI MARKETPLACE SHOPEE (STUDI KASUS PADA GENERASI Z DI KOTA MUARA TEWEH) Kasmun; Melda Safitri
JURNAL ILMU EKONOMI (MANAJEMEN PERUSAHAAN) DAN BISNIS Vol. 10 No. 01 (2026): Jurnal Ilmu Ekonomi (Ilmu Manajemen) dan Bisnis
Publisher : Sekolah Tinggi Ilmu Ekonomi Muara Teweh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51512/jimb.v10i01.258

Abstract

This study aims to determine the influence of Fear of Missing Out (FoMO) and Flash Sale on purchasing decisions in the Shopee Marketplace among Generation Z in Muara Teweh City, both simultaneously and partially, as well as to identify the most dominant variable. The study used a quantitative method with a sample of 100 Generation Z Shopee users selected through accidental sampling technique. Data were collected through questionnaires and analyzed using SPSS 27.0. The results showed that FoMO and Flash Sale simultaneously and partially have a significant effect on purchasing decisions. The most dominant variable influencing purchasing decisions is Flash Sale.
Pengelompokan Wilayah Potensi Kebakaran Hutan dan Lahan di Pulau Sumatera Berdasarkan Titik Panas Menggunakan Metode CLARA Melda Safitri; Admi Salma; Nonong Amalita; Fadhilah Fitri
UNP Journal of Statistics and Data Science Vol. 2 No. 3 (2024): UNP Journal of Statistics and Data Science
Publisher : Departemen Statistika Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/ujsds/vol2-iss3/180

Abstract

Sumatera Island is one of the areas with the potential for forest and land fires in Indonesia. Sumatra Island has the largest oil palm plantation in Indonesia. The vast land area of oil palm plantations in Indonesia can increase the risk of fires due to land expansion by burning. In addition, the burning of peatlands in Sumatra can exacerbate the impact of forest and land fires. Forest and land fires on the island of Sumatra that occur every year can cause various negative impacts, indicating the need for countermeasures and prevention efforts to minimize the impact of forest and land fires. Hotspots can be used to detect fires in a region and help with prevention and countermeasures to reduce the impact of land and forest fires. Clustering the hotspot data allows one to obtain information on the presence of a fire in a given area as well as its potential status high, medium, or low. The clustering method used is the CLARA method. The CLARA method is a clustering method that breaks the dataset into groups. The advantages of the CLARA method are robust to outliers and effective for large data sets. The results of this research show that the CLARA method can be used for hotspot clustering with a silhouette coefficient of 0.53 in the use of 2 clusters. The analysis of the clustering results shows that cluster 1 is a cluster with low fire potential while cluster 2 is a cluster with high fire potential.