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The role of investment for poverty alleviation in Yogyakarta: Evidence from logit regression Suripto, Suripto; Sukarniati, Lestari; Khasanah, Uswatun; Kurniawan, Mahrus Lutfi Adi; Istanti, Istanti
Jurnal Ekonomi & Studi Pembangunan Vol 25, No 1: April 2024
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jesp.v25i1.21060

Abstract

This article discusses the Solow-Romet theory of economic growth, aiming to explain the relationship between household poverty in the Province of Daerah Istimewa Yogyakarta (DIY) through investments in education, quality of life improvement, and health. The study examines various influence variables, including Non-Formal Education (XNF), Educational Scholarships (XBS), Protein Consumption (PK), Disease Prevention Costs (XL), Calorie Consumption (IK)), Health Insurance Variables (XAS ), and Food Security (XT) in assessing the poverty status of households in the Special Region of Yogyakarta in 2021. The estimation model employs a logit mode approach, using data from Susenas (National Socioeconomic) data for the Special Province of Yogyakarta, with a sample size of 4044 households. The findings of this study indicate that investments in non-formal education, school fees, and educational scholarships do not significantly affect family poverty status. However, increased investment in quality of life (such as calorie consumption) and health (including disease prevention and health insurance spending) will affect the poverty status of households in the Special Province of Yogyakarta in 2021.
Penggunaan D-Optimal Mixture Design untuk Optimasi dan Formulasi Self-Nano Emulsifying Drug Delivery System (SNEEDS) Asam Mefenamat Syukri, Yandi; Nugroho, Bambang Hernawan; Istanti, Istanti
JSFK (Jurnal Sains Farmasi & Klinis) Vol 7 No 3 (2020): J Sains Farm Klin 7(3), Desember 2020
Publisher : Fakultas Farmasi Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jsfk.7.3.180-187.2020

Abstract

This study aimed to optimize and formulate the poorly water-soluble mefenamic acid in the self-nano emulsifying drug delivery system (SNEDDS) using D-optimal mixture design. The initial screening was carried out to determine phases of the oil, surfactants, and co-surfactants used to prepare the ternary phase diagram. D-optimal mixture design was used to optimize SNEDDS loading mefenamic acid by selecting SNEDDS composition as an independent factor and SNEDDS characterization as a response. SNEDDS in the optimal formula were characterized, including transmittance, particle size, polydispersity index (PDI), and zeta potential. Oleic acid, Tween 80, and polyethylene glycol (PEG) 400 were the selected oil, surfactant, and co-surfactant phases for their greatest ability to dissolve mefenamic acid. The optimization results showed that the optimal formula was that using 10% oleic acid, 80% of Tween 80, and 10% of PEG 400. SNEDDS loading mefenamic acid produced nanoemulsion with 88.5% of transmittance, 190.03 ± 1.18 nm of particle size, 0.469 ± 0.03 of PDI, and -44.1 ± 1.69 mV of zeta potential. This study concludes that the D-optimal mixture design can be used to optimize and prepare the SNEDDS loading poorly-water soluble mefenamic acid.