bluuebunny/crossref_metadata_2025_split huggingface dataset:
Cost of production, break-even point and sensitivity of honje processing into honje juice
Authors: Rahayu N S M , Nuryaman H , Suyudi  , Mutiarasari N R 
Published: February 2024

Abstract
Honje juice agro-industry is one of the industries that process honje as raw material into processed products in the form of drinks that are ready for consumption. This study aims to determine the amount of total costs, cost of goods produced, break-even point of sales value and production volume, and the level of sensitivity of honje juice agro-industry. The research was conducted at Luthfi Food Company, one of whose products is Honje Lakaku Juice. The research method used is a case study. The analysis used is total cost analysis, cost of goods produced, break-even point and sensitivity. The results showed that the total production cost of honje into honje juice was IDR 446,156.95 in one production process, the cost of production was IDR 4,055 per 250 ml, the break-even point of honje juice sales value was IDR 64,810.38 and the break-even point of production volume was 1,620.26 ml (7 bottles of honje juice). The sensitivity of honje to honje juice is seen in the price increase of honje by 400 percent, this causes an increase in sales value to IDR 113,799.34, and an increase in production volume to 2,844.98 ml (11 bottles of honje juice).
Fluctuations and trends in the prices of red chilies and cayenne peppers in the traditional markets of Makassar City
Authors: Mardiyati S , Natsir M 
Published: February 2024

Abstract
Chili is a strategic food commodity which is the main seasoning for food in Indonesia. The chili commodity has high price fluctuations because production and supply are highly dependent on the risk of climate change. This research aims to analyse fluctuations, trends and comparisons of prices for large red chilies, curly red chilies and red cayenne peppers in the Makassar City Traditional Market. The data type is monthly time series secondary data for January 2020 to May 2023. Data analysis is coefficient variation, trend linear analysis, and t test. The results of this research show that the prices of large red chilies and curly red chilies have moderate fluctuations, while the prices of red cayenne peppers have high fluctuations. The price trend for large red chilies increased by IDR 144.24 per kilogram, curly red chilies IDR 200.99 per kilogram, and cayenne pepper IDR 362.42 per kilogram per month. The price of cayenne pepper has proven to be significantly higher than the price of large red chilies and the price of curly red chilies. The prices of red chilies and cayenne peppers at Pabaeng-baeng Market and Daya Market do not have a significant difference.
Estimation of loss of rice farmers due to flood at Krueng Kluet Watershed (with the eclac method approach)
Authors: Pirngadi R S , Rahmawaty  , Ayu S F , Rauf A 
Published: February 2024

Abstract
Deforestation in protected areas has caused flooding which has an impact on the rice farming sector at Krueng Kluet Aceh watershed. The purpose of this study is to analyze the area and area of rice fields affected by the Krueng Kluet watershed flood and calculate the estimated economic value of rice farmers’ losses due to flooding in the Krueng Kluet watershed using the ECLAC method. The results obtained in this study there are four classifications of flooding in lowland rice farming land, namely, very high, high, medium and low prone, with a total of 1.391 ha of lowland rice land affected by flooding in the Krueng Kluet watershed. The estimated value of the total loss from the impact of floods that hit lowland rice farming in the Krueng Kluet watershed area is 9,052,640,500 IDR. The implication of this research is the forest destruction consequence in the upstream of the Krueng Kluet watershed, the flood intensity is increasing from year to year greatly impacted the paddy rice agricultural sector. As a result of flooding many farmers suffered losses, mainly because the death of planted rice seeds, crop failures and loss of paddy rice production which was swept away by the flood currents.
Identifying production costs of Rosa sp: a transaction costs economics perspective
Authors: Abbas M H I , Priambodo M P , Prastiwi L F 
Published: February 2024

Abstract
Transaction costs are costs that appear in almost every economic transaction. The existence of transaction costs creates production cost inefficiencies. This research aims to identify the production costs borne by rose farmers as one of the leading commodities in East Java, especially Batu City. Apart from that, this research also identifies transaction costs that make production costs inefficient. The method used in this study is qualitative. The data collection tool used was unstructured interviews with rose farmer group administrators in Gunungsari Village, Batu City. Based on the research results, without transaction costs, the average total costs incurred by rose farmers in cutting rose farming is IDR 43,565,085.78 per planting season. The research results also show that there are six types of transaction costs that we have identified. These costs consist of explicit and implicit costs. Explicit costs refer to costs that are clear in amount and farmers know the exact data. Meanwhile, implicit costs refer to costs that farmers do not know the exact amount of.
Forecasting analysis of harvest area, production and productivity of potato (Solanum tuberosum L.) in North Sumatra Province
Authors: Pinem N F , Kesuma S I , Astuti R I 
Published: February 2024

Abstract
North Sumatra Province stands out as a key hub for potato cultivation in Indonesia, with a considerable potato consumption rate driven by its substantial population. This study aims to analyze the trend of harvest area, production, and productivity of potatoes in North Sumatra Province from 2007 to 2021. Additionally, it seeks to project the future trends in harvest areas, production, and productivity for the period 2023-2032 through forecasting analysis facilitated by the SPSS program application. The research employs purposive area sampling to determine the study locations, utilizing secondary data sourced from the Central Agency on Statistics of North Sumatra Province. Finding reveal a positive trend in potato harvest area, production, and productivity from 2007 to 2021. Looking ahead to 2023-2032, the forecast indicates a downward trajectory in potato harvest areas, while potato production and productivity are anticipated to maintain a positive trend in North Sumatra Province.
The simultaneous effect of credit on sustainable food crop production and agricultural economic growth in Indonesia
Authors: Saptia Y , Rusnani  
Published: February 2024

Abstract
In general, Indonesian farmers still face limited capital in their production. Therefore, credit is needed as additional capital, which is expected to help increase their agricultural business, especially rice production. This study analyzes how credit influences rice production and agricultural economic growth simultaneously. Secondary data are a time series over 12 years (2010-2021) from BPS Statistics Indonesia and Bank Indonesia. The Statistical Analysis System/Econometric Time Series (SAS/ETS) program version 9.4 is used to estimate this study using two-stage least squares (2SLS). The results show that credit simultaneously influences rice production sustainability and economic growth in the agricultural sector through credit interest rates. A simulation model that combines an increase in agricultural credit distribution of 20% and an interest rate of 5% has a greater impact on increasing rice production and economic growth in the agricultural sector compared to a simulation model that only provides a credit interest rate of 5% or 3%.
Contribution of the agricultural sector to embody Sustainable Development Goals (SDGs) in Jambi Province
Authors: Yanita M , Napitupulu D M T , Rahmah K , Alamsyah Z , Fauzia G , Herlambang N , Tanaka M A R 
Published: February 2024

Abstract
This research aims to investigate the agricultural sector’s contribution to the realization of the Sustainable Development Goals (SDGs) in Jambi Province, as well as policies to increase the agricultural sector’s role in the realization of the SDGs in Jambi Province. Using a simultaneous equation model to analyze how development affects key measures of SDG achievement. The findings indicated that The contribution of the agricultural sector to the realization of sustainable economic development (SDGs) in Jambi Province has a significant effect on the reliability of the agricultural sector in the realization of sustainable economic development (SDGs) in Jambi Province. Policies that can be carried out by the government to increase the role of the agricultural sector in realizing sustainable economic development (SDGs) in Jambi Province are those that are Triple Bottom Line (TBL): pro-planet, profit, and people. Support for the agricultural sector in the form of effective policies and incentives is used as a measure of the effectiveness of sustainable development in the province of Jambi. The government must take a number of factors into account when drafting agricultural development policies.
Analysis of business feasibility on rice milling business in Porsea district of Toba Samosir regency
Authors: Marpaung N , Manurung R K , Eriza F 
Published: February 2024

Abstract
The consistent growth in grain production, particularly rice, in Toba Samosir has led to the emergence of numerous rice milling businesses in the region. This is due to the significant potential for further expansion in grain production in the district, making it an attractive area for such ventures. Nevertheless, the rice milling industry in the Porsea sub-district has various intricate challenges, including funding, technological advancements, marketing strategies, and access to market intelligence. This study aims to ascertain the characteristics of the rice milling industry and determine the firm’s financial viability. The methodology employed in this study involves doing a feasibility analysis utilizing the metrics of Net Present Value, Internal Rate of Return, and Net Benefit Cost Ratio. The objective is determine the viability of rice milling activities in the Porsea sub-district. The findings indicated that the mean annual income of the rice milling industry in Porsea amounted to 147,439,448 IDR. The Porsea rice milling business has met the necessary criteria for consideration, with a Net Present Value (NPV) of IDR 658,682,140, a Net Benefit-to-Cost ratio (Net B/C) of 1.2, and an Internal Rate of Return (IRR) of 46.29%. These figures suggest that most regional rice milling firms are financially feasible.
The influence of EU renewable energy directive policy to Indonesian palm oil exports to some EU countries
Authors: Alamsyah Z , Ratnasari D , Elwamendri E , Fauzia G 
Published: February 2024

Abstract
The objectives of this study are 1) to describe Indonesian palm oil export to some European Union (EU) countries and some export determinant variables, 2) to analyze the implementation of the EU renewable energy Directive (RED) as an instrument to guarantee that the traded products are environmentally friendly and sustainable, and 3) to analyze the effect of the RED on Indonesian palm oil exports. The effect of RED was estimated through the export function behavior of Indonesian palm oil to each selected EU country. The secondary data was used for period of 2000–2021. A simultaneous equation model using the 2SLS method was applied for the analysis. The research result implies that the 2003 Directive, and the rupiah real exchange rate have significant effect on Indonesian export to Spain, Italy and Germany. While the price of palm oil in the EU is significantly affected the Indonesian palm oil export to Italy and Germany, but not to Spain. The strengthening of the rupiah exchange rate caused a decrease in Indonesian palm oil exports to Spain but increased the exports of Indonesian palm oil to Italy and Germany, and also increased the palm oil prices in the EU market.
Is the income of independent smallholder oil palm after replanting with a conventional system greater than the underplanting system in supporting the sustainability of oil palm plantations?
Authors: Fauzia G , Hamid E , Alamsyah Z , Simbolon S 
Published: February 2024

Abstract
The sustainability of oil palm plantations is of particular concern from government. One of the problems that has not yet been realized is the target of replanting smallholder palm oil plantations. There are two replanting systems namely conventional and underplanting system. Some farmers do underplanting because it prevents farmers from losing their major source of revenue if they do not have oil palm plantations in more than 2ha. Smallholder oil palm producers in Sungai Bahar District with two system. The sampling approach employs simple random sampling with 44 sample conventional and 42 sample underplanting. According to the research findings, conventional system farmers’ income is higher than underplanting farmers with difference comparison 20.7%. Farming income using conventional is IDR 22,323,490/ha/year, while underplanting is IDR 12,519,214/ha/year. The difference is seen at higher production levels in the conventional system. Besides that, the application Good Agriculture Practice in conventional systems also affects the condition of the Fruit Fresh Bunches produced, including the use of appropriate fertilizer. Oil palm farming has reached the account the minimum wage (UMK) level, even above the applicable UMK level, taking into UMK for the district of Muaro Jambi in 2023 of IDR 2,900,000 per month in both two-system replanting.
Determination of local fractal dimension of the catalyst support MgAl2O4 surface
Authors: Zakletskii Z A , Gusein-Zade Namik , Sorokin A A 
Published: February 2024

Abstract
In this paper, a procedure for estimating local fractal dimensionality values for greyscale images was developed. This procedure was tested on synthesised fractal and multifractal Brownian surfaces. The use of the method of detrended fluctuation analysis to determine the Hurst index for samples with a size not exceeding 2000 points was analysed. The optimal values of the sample size and the scale parameter have been obtained, allowing the Hurst index to be calculated with an error of less than 20%. The procedure was also tested on greyscale images, which are 8-bit representations of a synthesised fractal surface. The peculiarities of the application of the procedure for calculating the local fractal dimension for images obtained by scanning electron microscopy have been analysed. The values of the local fractal dimension of the oxide support MgAl2O4 are calculated using SEM images at different magnifications. It has been shown that, taking into account the fractal dimensionality calculation, different morphologies of the particle surface are observed at different scales of image magnification. At the highest magnification, the particle surface is found to consist of embedded smooth micron particles. The surface morphology of the MgAl2O4 particle depends on the micro- and mesopores between the embedded particles, this surface can be characterised by a fractal surface with FD2 = 2.3–2.4.
Training models using forces computed by stochastic electronic structure methods
Authors: Ceperley David M , Jensen Scott , Yang Yubo , Niu Hongwei , Pierleoni Carlo , Holzmann Markus 
Published: February 2024

Abstract
Quantum Monte Carlo (QMC) can play a very important role in generating accurate data needed for constructing potential energy surfaces. We argue that QMC has advantages in terms of a smaller systematic bias and an ability to cover phase space more completely. The stochastic noise can ease the training of the machine learning model. We discuss how stochastic errors affect the generation of effective models by analyzing the errors within a linear least squares procedure, finding that there is an advantage to having many relatively imprecise data points for constructing models. We then analyze the effect of noise on a model of many-body silicon finding that noise in some situations improves the resulting model. We then study the effect of QMC noise on two machine learning models of dense hydrogen used in a recent study of its phase diagram. The noise enables us to estimate the errors in the model. We conclude with a discussion of future research problems.
Influence of layering sequence on performance of jute/wool epoxy hybrid composites: a comparative study with automotive plastic
Authors: B H Shivayogi , T S Manjunatha , Shivakumar Gouda P S , B H Maruthi Prashanth , M Prashanth Pai 
Published: February 2024

Abstract
Natural fibres such as Jute and Wool are increasingly being used in fibre reinforced polymer composites, hence progressively supplanting synthetic fibres. Combining these two unique natural fibers would improve the performance of composites used in secondary structural applications. This study is intended to investigate the effects of Jute and Wool fiber arrangement on mechanical properties in an epoxy matrix. In order to achieve this, hand layup was employed to fabricate composite laminates consisting of four layered fabric layers stacked in sequences, as Jute/Wool/Wool/Jute (JW1), Wool/Jute/Jute/Wool (JW2), Jute/Wool/Jute/Wool (JW3), and Jute/Jute/Wool/Wool (JW4). Effect of these stacking sequences on the properties of Natural Fibre Hybrid Composites (NFHCs) was evaluated by conducting a series of standardized tests such as Flexural, Interlaminar Shear Strength (ILSS), Impact and Single End Notch Bend (SENB) tests, as per ASTM standards. On the other hand an automobile interior thermoplastic material was evaluated for different mechanical properties and compared with hybrid Jute-Wool composite. Experimental results showed that the JW1 composite, exhibited superior mechanical properties because it has tailored with a Wool fabric at the core and Jute fabric on its outer surface. Hence, JW1 had a remarkable tensile strength of 40 MPa, a maximum flexural strength of 99 MPa and extremely high interlaminar shear strength (ILSS) of 3.09 MPa. In addition to this, JW1 also had high fracture toughness, measuring around 72 M P a m 1 /2, and impressive impact strength of 85 J/m2. Furthermore, scanning electron microscope (SEM) photo images confirmed that the presence of strong bonding between the fibres and matrix in JW1 composite exhibited and overall improvement of mechanical performance by 82% when compared with other combinations (JW2, JW3, and JW4) including automotive plastics.
Nonuniformly twisted states and traveling chimeras in a system of nonlocally coupled identical phase oscillators
Authors: Smirnov L A , Bolotov M I , Pikovsky A 
Published: February 2024

Abstract
We explore the model of a population of nonlocally coupled identical phase oscillators on a ring (Abrams and Strogatz 2004 Phys. Rev. Lett.
93 174102) and describe traveling patterns. In the continuous in space formulation, we find families of traveling wave solutions for left-right symmetric and asymmetric couplings. Only the simplest of these waves are stable, which is confirmed by numerical simulations for a finite population. We demonstrate that for asymmetric coupling, a weakly turbulent traveling chimera regime is established, both from an initial standing chimera or an unstable traveling wave profile. The weakly turbulent chimera is a macroscopically chaotic state, with a well-defined synchronous domain and partial coherence in the disordered domain. We characterize it through the correlation function and the Lyapunov spectrum.
Green synthesis, characterization and drug-loaded iron oxide nanoparticles derived from Nerium oleander flower extract as a nanocarrier for in vitro antibacterial efficacy
Authors: Sharma Vandana , Sharma J K , Kansay Vishal , Dutta Aarzoo , Raj Mayank , Singh Manoj , Kapoor Anu , Pahwa Chhavi , Sharma Anupam , Kumar Suresh , Sharma A K , Bera M K 
Published: February 2024

Abstract
Application of drug conjugated iron oxide hematite (α-Fe2O3) nanoparticles are of tremendous interest in biomedicine nowadays. Meanwhile, green production of iron oxide nanoparticles is gaining favour due to its sustainability, ease of usage, and biocompatibility. Therefore, this work reports on the use of hexahydrate ferric chloride and nerium oleander flower extract to synthesize nanoscaled hematite (α-Fe2O3) iron oxide particles conjugated with various drugs for antibacterial agents. Diverse morphological, physicochemical, structural, optical, and magnetic characteristics have been characterized using FESEM, EDX, XRD, UV–vis, FTIR, Raman and vibrating sample magnetometer. The synthesis of the polyshaped iron oxide nanoparticles, with average sizes ranging from 47.2 ± 20 nm, was accomplished. Furthermore, temperature-dependent variations in magnetic behavior were observed during calcination. The XRD and Raman spectra revealed hematite (α-Fe2O3) type formation of iron oxide nanoparticles. Only calcinated IO-NPs at high temperatures (700 °C) demonstrated low coercivity and residual magnetism, which revealed weak ferromagnetic ordering; other calcinated samples, including nascent ones, showed incredibly weak ferromagnetic ordering. Besides, the effectiveness of drug-encapsulated iron oxide nanoparticles against bacteria in vitro was examined. It was interesting to observe that gentamycin-coated IO-NPs tended to be more susceptible to S. aureus than E. coli bacteria, but streptomycin-conjugated IO-NPs showed the reverse trend. However, as compared to the nascent sample and the high temperature (700 °C) calcinated sample, both antibiotic-loaded IO-NPs displayed better inhibitory abilities.
Gradient-descent hardware-aware training and deployment for mixed-signal neuromorphic processors
Authors: Cakal Ugurcan , Maryada  , Wu Chenxi , Ulusoy Ilkay , Muir Dylan Richard 
Published: February 2024

Abstract
Mixed-signal neuromorphic processors provide extremely low-power operation for edge inference workloads, taking advantage of sparse asynchronous computation within spiking neural networks (SNNs). However, deploying robust applications to these devices is complicated by limited controllability over analog hardware parameters, as well as unintended parameter and dynamical variations of analog circuits due to fabrication non-idealities. Here we demonstrate a novel methodology for offline training and deployment of SNNs to the mixed-signal neuromorphic processor DYNAP-SE2. Our methodology applies gradient-based training to a differentiable simulation of the mixed-signal device, coupled with an unsupervised weight quantization method to optimize the network’s parameters. Parameter noise injection during training provides robustness to the effects of quantization and device mismatch, making the method a promising candidate for real-world applications under hardware constraints and non-idealities. This work extends Rockpool, an open-source deep-learning library for SNNs, with support for accurate simulation of mixed-signal SNN dynamics. Our approach simplifies the development and deployment process for the neuromorphic community, making mixed-signal neuromorphic processors more accessible to researchers and developers.
On Doyle-Grigor’yan criterion for non-parabolicity
Authors: Bessa G. , Gimeno i Garcia Vicent , Pessoa Leandro , Setti Alberto 
Published: February 2024

In this short note we show that Doyle-Grigor’yan criterion for non-parabolicity is not necessary in dimension greater than or equal to four. This gives an negative answer to Problem # 1 of Grigor’yan [Bull. Amer. Math. Soc. (N.S) 36 (1999). pp. 135–249] in this dimensional range.