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Pb Heavy Metal Content, Growth and Yield of Four Kale Varieties (Ipomea reptans Poir.) due to Dosage of Chicken Manure with Sediment Media of Sewers Lia Amalia; Nunung Sondari; Budiasih; Tien Turmuktini; Elly Roosma Ria; Kovertina Rakhmi Indriana; Beni Komara
International Journal of Advanced Multidisciplinary Vol. 2 No. 4 (2024): International Journal of Advanced Multidisciplinary (January-March 2024)
Publisher : Green Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/ijam.v2i4.429

Abstract

Food insecurity is a condition in an area, community or household where the level of security and availability does not meet the standards needed for the growth and health of the majority of the population. Kangkung is a heavy metal-absorbing weed plant that many people like as a vegetable. Food security in urban communities is limited by existing land and growing media, so using media from sewer sediment is an alternative. The experiment used a factorial Randomized Block Design (RAK), consisting of two factors, namely the dose of chicken manure (A) with 4 levels as follows: a0 : 0 t ha-1 (control), a1 : 10 t ha-1, a2 : 20 t ha-1 and a3 : 30 t ha-1 and Kangkung Variety (K) with 4 levels as follows: k0 : Serimpi Variety, k1 : Amanda Variety, k2 : Bangkok LP-1 Variety and k3 : Bika Variety, so there are 16 treatment combinations repeated 2 times. The research findings indicated that there was no significant correlation between the dosage of chicken manure and the plant type in terms of plant growth, yield, and absorption of PB heavy metals, with the exception of leaf count. The optimum dose of chicken manure is 5.05 t ha-1 in the Serimpi variety with a maximum number of leaves of 11.30 plants-1, 5.27 t ha-1 in the Amanda variety produces a maximum number of leaves of 16.68 plants-1 , 9.20 t ha-1 in the Bangkok LP-1 variety produces a maximum number of leaves of 16.77 plants-1 and 3.83 t ha-1 in the Bika variety produces a maximum number of leaves of 18.66 plants-1.
Pengaruh Konsentrasi AB Mix Terhadap Pertumbuhan dan Hasil Microgreens Tanaman Okra (Abelmoschus esculentus (L.) Moench.) Romiyadi; Hariandi Napitupulu, Ricki; Budiasih; Amalia, Lia
Jurnal Greenation Pertanian dan Perkebunan Vol. 3 No. 1 (2025): (JGPP) Jurnal Greenation Pertanian dan Perkebunan (Februari 2025)
Publisher : Greenation Publisher & Yayasan Global Research National

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/jgpp.v3i1.255

Abstract

Penelitian ini bertujuan untuk mempelajari pengaruh konsentrasi AB Mix terhadap pertumbuhan dan hasil microgreens tanaman okra dan mendapatkan rekomendasi konsentrasi AB Mix terbaik. Penelitian ini dilaksanakan di Green House Fakultas Pertanian Universitas Winaya Mukti-Sumedang, Jawa Barat dengan ketinggian tempat 870 m di atas permukaan laut. Waktu pelaksanaan pada bulan Juli sampai dengan bulan Agustus 2024. Penelitian menggunakan Rancangan Acak Kelompok Tunggal dengan 5 taraf perlakuan (A: 0 mg L-1 larutan AB Mix , B: 150 mg L-1 larutan AB Mix, C: 300 mg L-1 larutan AB Mix, D: 450 mg L-1 larutan AB Mix dan E: 600 mg L-1 larutan AB Mix) diulang sebanyak 5 ulangan. Hasil penelitian menunjukan bahwa konsentrasi AB Mix berpengaruh terhadap pertumbuhan dan hasil microgreens tanaman okra, yaitu pada variabel tinggi tanaman 11 HSS dan 14 HSS; jumlah tanaman hidup; bobot segar microgreens per thinwall dan kadar vitamin C. Konsentrasi 150 mg L-1 larutan AB Mix memberikan pengaruh lebih baik terhadap pertumbuhan dan hasil microgreens, tetapi konsentrasi 0 mg L-1 larutan AB Mix memberikan pengaruh terhadap kadar vitamin C microgreens paling tinggi.
Implementation of Constant Elasticity of Substitution Function and Data Envelopment Analysis: Productivity and Technical Efficiency of Large Industry Creative Economy in Craft Subsector Indonesia Zuhoran, Khusnudin Tri Subhi; Budiasih
Parameter: Journal of Statistics Vol. 1 No. 2 (2021)
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Tadulako

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (259.104 KB) | DOI: 10.22487/27765660.2021.v1.i2.15450

Abstract

Indonesia has undergone a transformation from agriculture to the manufacturing industry in 1971-1997. In the 2001-2015 period there was de-industrialization in developed countries. Likewise, Indonesia which shows a decrease in the contribution of GDP and manufacturing sector workforce to the economy. However, deindustrialization in Indonesia is premature / too fast. One of the policies to overcome this problem is with attention to the creative industry. With the existence of the creative industry, it can achieve several SDGs goals, namely the 8th goal, namely decent work and economic growth, the creative economy can increase economic growth, create jobs and increase exports (UNCTAD, 2010). However, the creative industry GDP growth that is below the RPJMN target is thought to indicate low productivity of the creative industry. According to IBS data, the craft sub-sector creative industry has a low production value. To see productivity can use technical efficiency. This study aims to evaluate the technical efficiency of creative industry in the craft sub-sector as well as to analyze the trend of variables that affect technical judgments. The method used is the CES production function and Data Envelopment Analysis. The results show that industries that have high total production factor values have a tendency to have high technical efficiency values as well. Furthermore, those arranged according to technical categories and binary logistic regression are used to determine trend variables that affect technical judgments. The technical efficiency of the craft, significantly by wages, investment status and company scale.
Analisis Spasial Ketahanan Pangan di Indonesia Tahun 2022 dengan Model Geographically Weighted Logistic Regression Agustinningtyas, Diska; Syukri, Irfan; Choiri Nisa, Gusvia; Cengga, Gloria Stephany Haman; Ikhsanudin, Muhammad Rafi; Budiasih
Jurnal Litbang Sukowati : Media Penelitian dan Pengembangan Vol 8 No 1 (2024): Vol. 8 No. 1, Mei 2024
Publisher : Badan Perencanaan Pembangunan, Riset dan Inovasi Daerah Kabupaten Sragen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32630/sukowati.v8i1.438

Abstract

The crisis in food security is a problem in many countries including Indonesia. The crisis is important to pay attention to, in order to realize sustainable food security in accordance with the second Sustainable Development Goals (SDGs) of zero hunger. Achieving food security cannot be separated from making appropriate and targeted policies. Policy making must be supported by accurate, comprehensive and systematic food security information. This study aimed to classify districts/cities in Indonesia into food-secure and food-prone areas and analyze the factors that influence the food security status. The data were analyzed descriptively and inferentially where clustering with k-means method for food security status classification and Geographically Weighted Logistic Regression (GWLR) modeling with Adaptive Gaussian kernel function weights which provided the best model with the smallest Akaike Information Criterion corrected (AICc) compared to other kernels to see the spatial influence in determining the food security condition of a district/city. The results showed that in 2022 there were 388 districts/cities with food security status and 126 districts/cities with food insecurity status. In addition, of the 9 variables used in clustering, there are 5 variables used in GWLR modeling. Three of them are significant in all regions in Indonesia, while 1 variable is locally significant in some regions.
Determinants of Economic Growth and Labor Productivity in Indonesia Surya Putra, Wildhan; Budiasih
Economics Development Analysis Journal Vol. 13 No. 3 (2024): Economics Development Analysis Journal
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/edaj.v13i3.5110

Abstract

Economic growth and labor productivity are important things for a region. This research analyzes the influence of investment, technological change, health, and minimum wages on economic growth and labor productivity. The geographically weighted regression (GWR) model is used to analyze spatial data, which produces local parameter estimates for each point/location where the data is collected. It was found that investment significantly affects economic growth in 18 provinces in Indonesia. ICT has a significant effect on economic growth in 3 provinces, and education (PPT) has a significant impact on labor productivity in 23 provinces. Low quality of health significantly affects the economic decline in 2 provinces and the decline in labor productivity in 4 provinces. The provincial minimum wage variable (UMP) significantly increases labor productivity in 17 provinces. Overall, of the 34 provinces, economic growth was most influenced by significant investment in almost all provinces except for Sumatra Island and half of Java Island. Meanwhile, labor productivity is most influenced by education, which is significant in almost all provinces except in eastern Indonesia and half of Sumatra Island.