bluuebunny/crossref_metadata_2025_split huggingface dataset:
Classification of rice growth stage based on convolutional neural network
Authors: Kusumaningrum R , Satriaji W , Endah S N , Prasetyo Y , Sukmono A 
Published: June 2020

Abstract
The proposed method of rice growth classification model based on Convolutional Neural Network (CNN) which had implemented towards LANDSAT images gives the highest accuracy value of 83.4% with the following parameters including batch size 32, drop out 0.5 and band 432. The batch size value is inversely proportional to the level of accuracy obtained, which means the greater the batch size value, the smaller the average level of accuracy obtained, whereas there is no correlation between the change in the drop out value and the accuracy value and in general the best accuracy value in the drop out value is 0.5.
Contribution of information technology (IT) system in overcoming neonatal jaundice: a systematic literature review
Authors: Anggraini D , Widyawati M N , Suryono S 
Published: June 2020

Abstract
Information technology systems can improve efficiency, quality of service, security and improve the quality of diagnosis, especially in the incidence of neonatal jaundice, because the incidence of jaundice that is not monitored can cause increasingly severe problems so that it can cause kernicterus and can also cause death in neonatal. This paper is focused on analyzing the contribution of information technology systems to health problems especially neonatal jaundice. The study design uses a systematic literature review with international journals in electronic databases. Journal criteria used the Randomized Controlled Trial (RCT) technique from 2011-2019. This systematic literature review concludes that information technology systems have a role in health care, wherefrom several technologies have proven to be able to detect, diagnose, treatment and education that is easy, fast, effective and can be used whenever needed in overcoming the problem of neonatal jaundice. However, the use of information technology systems has not been comprehensive so that it needs development especially in areas with limited access.
Planning for the utilization of hydro power in the Belayan river, East Kalimantan
Authors: Windarta J , Saptadi S , Darmanto N A , Handoyo E , Machfudz L , Herman I 
Published: June 2020

Abstract
Non-renewable energy power plants are barely able to meet all electricity needs but they have negative impacts on the environment as does greenhouse gas pollution. For now, investors and academics are competing to make renewable energy power plants, one of them is hydroelectric power plant. National Energy General Plan Data (RUEN) issued by the government shows that East, Central and South Kalimantan has water potential in the amount of 16.844 MW. Therefore, this study chose Tabang, East Kalimantan as a case study to build a hydroelectric power plant. Belayan River according to the East Kalimantan Region III River Agency has potential water reaches 424,36 m3/s, so it is very strategic for hydroelectric power plants. The survey results provide 3 possible alternatives for dam construction. The type of water turbine chosen is Francis vertical shaft with output power 71.701,98 kW and generator with output power 69.550,922 kW. The output power that can be generated by this hydroelectric power plant is equal to 280 MW by use 4 generating units.
Generalized of properties symmetric element on rings with involution
Authors: Udjiani T , Suryoto  , Harjito  
Published: June 2020

Abstract
The definition of symmetric elements in a ring equipped with involution can be generalized by multiplying it as many as n natural number. Generalizing of symmetric elements is known as the generalized symmetric elements. Not each generalized symmetric element has a generalized Moore Penrose inverse. That condition is an extension of the symmetric elements properties in a ring. This paper produces others properties of generalized symmetric elements. Method which is used is by generalizing the commutative properties between symmetric elements with generalized Moore Penrose inverse.
Desalination of seawater with supported liquid membrane
Authors: Djunaidi M C , Pardoyo  
Published: June 2020

Abstract
Seawater contains a lot of dissolved substances which are important chemicals. Broadly speaking the chemical composition of seawater is the main constituents of salinity, trace elements, gases, organic compounds, and suspended material. Desalination techniques have long been known and carried out, among others, by distillation, reverse osmosis, ion exchange (ion exchange) and electrodialysis. SLM is a separation technique consisting of two homogeneous phases, namely the feed phase and the receiving phase. Separation with SLM techniques is largely determined by the effectiveness and selectivity of the carrier compound. In this study using D2EHPA-TBP and HTTA-TBP as a carrier compound which was then applied in decreasing salinity levels of seawater. Seawater desalination with the SLM technique for carrier compounds was 81.690% and 84.504%, respectively.
Backpropagation artificial neural network for prediction plant seedling growth
Authors: Pohan S , Warsito B , Suryono S 
Published: June 2020

Abstract
Prediction of the growth of plant seedlings is one of the important problems in the world in order to fulfill the availability of food for all residents. At this time Greenhouse technology has been developed which is one of the technologies that support plant growth. Unfortunately, prediction technology is still done manually so the results are not accurate. This paper proposes the Neural Network Backpropagation method to evaluate the growth of plant seedlings in the greenhouse area. Data collected from the internet network system from temperature sensors, soil humidity, environmental humidity, light intensity and cameras to monitor growth. Seedling prediction is done by building a computer program using the neural network backpropagation algorithm based on time series that has input layer, hidden layer and output prediction architecture. Training data is used to carry out the training process before the program is used to perform predictions. Furthermore, the program is used to make predictions. The results of applying the neural network backpropagation algorithm to predict the growth of plant seedlings in the greenhouse get good results based on the first iteration Mean Squared Error (MSE) of 0.0112, with computing time 0.0193 seconds and data accuracy of 92.79%, which means that the prediction generated approximates actual data for the application of backpropagation neural network algorithms to the evaluation of plant seedling growth.
Light effect transistors for high speed and low energy switching and beyond
Authors: Zhang Yong 
Published: June 2020

Abstract
A semiconductor nanowire based photo-conductive device, referred to as light effect transistor (LET), is demonstrated for replicating the field effect transistor (FET) functions with potentially higher speed and lower switching energy, and offering novel, beyond FET functionalities, e.g., optical logic gates and optical amplification. In an integrated photonic circuit, photonic components are typically used for interconnection between electronic subsystems. A hybrid electronic-photonic integrated circuits with LETs with FETs on one chip can take the advantages of the two worlds and mitigate their shortcomings, which will offer major improvement in performance over the pure electronic version.
Stable rotation of fullerenes in molecular crystal structures
Authors: Bubenchikov A M , Bubenchikov M A , Mamontov D V 
Published: June 2020

Abstract
A large number of various fullerenes and their analogues, each of which individually has different properties, are known. This work presents a consideration of several types of fullerenes in various structures. Using a mathematical model of molecular dynamics we aim to understand the behavioural nature of such structures and answer the questions concerning the reasons for the occurrence of unique properties of individual molecules and crystals, as well as structures consisting of them. We also discuss possible influences on properties of nanomaterials. Finally, we suggest a forecast on how the materials under consideration can be applied.
Qualitative differences in the calculated THz absorption spectra of linear and branched polymers as exemplifed in amylose and amylopectin
Authors: Semenova A V , Vaks V L , Guseva Yu S , Babarina D A , Morunova S S , Vilkov A S 
Published: June 2020

AbstractQualitative absorption spectra of the amylose and the amylopectin molecules were calculated in the THz frequency range within the framework of a simple model of coupled oscillators. The simulations revealed that the absorption of the linear molecule (amylose) was approximately twice as strong as that of the branched molecule (amylopectin) with the same molecular weight. The differences in the fine structure of the obtained spectra were also described. The results can be used to determine the degree of polymer branching using THz spectroscopy.
The experiment of activity and stability of antioxidant extracted from Senduduk (Melastoma malabathricum L) leaves at various conditions of concentration, pH values, and temperatures
Authors: Fiardilla F , Warsiki E , Sugiarto  
Published: June 2020

Abstract

Melastoma Malabathricum L. (Senduduk) is a type of weed that serves as an antibacterial, antioxidant, anti-inflammatory, anti-cancer, anti-hepatoxic, anti-diabetic and antiseptic to kill or prevent the growth of microorganisms. The purpose of this study is to obtain antioxidant extracts from Senduduk leaves and to test its antioxidants stability in various temperatures and pH. Senduduk leaves are extracted by macerating them with 95% ethanol solvent for 72 hours, and then the solvent is evaporated using a vacuum evaporator at 40 °C. In this experiment, DPPH (1,1-diphenyl-2-pikrihidazil 1,1-diphenyl-2-pikrihidazil) method is used to test the antioxidant activity. Based on this experiment, the extract yield produced from Senduduk leaves was 10.40% (w/w). The results show that the extracts experience an ability to inhibit DPPH free radical formation by 91.734% at 100 ppm concentration. It is known that the antioxidant from the extract of Senduduk leaves is stable at pH 3-5 and at temperature of 70 °C. The IC50 (Inhibition Concentration) value is 55.432 ppm, which proves that the antioxidant properties of the leaves extracts can be classified as strong antioxidant.
Production and characteristic of natural coloring and flavoring preparations from pandan leaves (Pandanus amaryllifolius)
Authors: Arshimny N A , Syamsu K 
Published: June 2020

Abstract

Pandanus amaryllifolius or pandan is widely used as a source of natural seasoning such as food coloring and flavoring. The objective of this research is to study maltodextrin concentration’s effect on physical and chemical properties of pandan preparations, to substitute the use of synthetic coloring and flavoring in its application to pandan cake. Pandan leaves are extracted by distilled water with destruction method using a blender, then added with maltodextrin(w/v) as filler, as well as binder and stabilizer. The extract is converted to powder using vacuum dryer at ±60°C, then sifted with an 80 mesh sieve. The total yield test showed that 35% maltodextrin(w/v) addition had the largest amount of yield. While in the organoleptic test, the most liked color of pandan preparations was 20% maltodextrin(w/v) addition. In its application to pandan cake, the most liked color and flavor was 35% maltodextrin(w/v) addition. The comparison with synthetic coloring and flavoring showed that color has a significant effect while flavor does not. From all parameters, the best treatment of pandan preparations was the addition of 35% maltodextrin(w/v). It can be concluded that pandan preparations in powder form can be used as a substitute of synthetic coloring and flavoring.
Design of small-scale electrocoagulation reactor for non-sugar removal of sugarcane juice
Authors: Noersatyo  , Suprihatin  , Iskandar Ade 
Published: June 2020

Abstract
The most common sugarcane juice purification method practiced in Java is liming and sulphitation. In this research, electrocoagulation method was used to purify the sugarcane juice. This research purpose is to design an electrocoagulation reactor for the non-sugar removal of sugarcane juice. The design method of the reactor is based on IR-Drop and surface area per volume ratio (S/V) optimization. Electrode type and configuration was chosen considering the characteristic of sugarcane juice. A circulated vertical flow reactor type was built to conduct the electrocoagulation. The dimension of the reactor was 10 × 10 × 24 cm and had 8 electrodes installed with 1 cm inter electrode distance. The electrode was aluminium plate and arranged in bipolar configuration. The experiment used 35, 45, and 55 volt, flow rate of 40 L/min, and 30 minutes reaction time with 5 minutes interval. The result showed that an increase in voltage and reaction time increases the non-sugar removal efficiency. The mixed juice treated by electrocoagulation with 55 volt for 5 minutes could remove the non-sugar up to 21.47% and 33.49% for 30 minutes reaction time. The average of non-sugar removal by sulphitation in Java is 11.50% and 29.00% by carbonation. This study shows that electrocoagulation is more effective than the conventional method in removing the non- sugar. With the right scaling up method, electrocoagulation is possible to be practiced in a large scale sugar industry. Future studies are needed to evaluate the performance of electrocoagulation in terms of the clear juice quality and process efficiency.
Bio-value chains for high-value products and compounds as an example for innovation and management for sustainable agroindustry
Authors: Brands B , Kleinke M 
Published: June 2020

Abstract
The rapid rise in the use of natural resources and the emission of greenhouse gasses and extensive use of fertilizers to satisfy rising demand for food have led to a dynamic but unsustainable development even in agricultural areas. The principle of sustainability aims to conserve land, water and resources for future generations and to preserve the natural fertility of the soil. The BIVAC project seeks to develop novel, economically interesting products from residues streams produced in the agricultural sector. This surplus biomass could be very diverse. Residues are presently mostly returned to the fields, used in biogas plants or treated as waste. The material often contains valuable components, which could still be of use for the production in other companies. The project aims to determine which components can be found in these residue streams. To this end, different analytical methods are used ranging from photometric determinations to HPLC but also including determination of proteins using the Kjeldahl method or determination of parameters as dry matter, carbon and nitrogen content, analysis of heavy metals or the vitamin C content. The analyses carried out so far show that different residue streams contain candidate components that could be valuable for companies that do not primarily deal with agricultural products.
Utilization of pineapple peel and rice washing water to produce single cell proteins using Saccharomyces cerevisiae
Authors: Mujdalipah S , Putri M L 
Published: June 2020

Abstract
Single cell protein (SCP) is an alternative for meeting protein needs in the future. The wastes such as pineapple skin and rice water washing can be utilized to produce SCP. These two materials are abundant in Indonesia. The consumption of pineapple and rice in Indonesia is very high. The rice is the main food for Indonesian people. The aim of this study is to determine the best ratio of pineapple skin juice and rice washing water as a growing medium to produce single cell proteins. This study was performed in a completely randomized design with two factors. The first factor was the ratio of pineapple skin and rice washing water. The ratios between pineapple skin and rice washing water were 1: 1, 2: 1 and 1: 2. The second factor was fermentation times (8, 24, 32, 48, 56, 72 and 80 hours). The analysis carried out included pH, cell dry weight and protein content. The best treatment is obtained by the treatment of pineapple skin and rice washing water in ratio of 1: 2 when it is fermented for 56 hours. This media produced 0.4752 grams of cell dry weight with the protein content at about 289.08 ppm.
Sustainable production of natural textile dyes industry
Authors: Elsahida K , Fauzi A M , Sailah I , Siregar I Z 
Published: June 2020

Abstract
Natural dye raw material is obtained from potential plants grown around the industry and then extracted by the industry itself. The uncertainty of the supply of natural dyes in the textile industry causes delayed fulfillment of consumer needs. The principle of sustainable production consists of economic, social and environmental aspects. The purpose of this paper is to examine the economic, social and environmental aspects of the production of natural textile dye industry. This study is conducted to determine consumer preferences for the natural dye textile products and the added value of the natural textile dye industry. Consumer preferences is acquired using cross-tab and value-added analysis using the Hayami method. Consumer preferences indicators were dye selection, willingness to pay, awareness, and market access. The natural textile dye industry has the potential to be developed because it can provide added value to agricultural materials that have not been used optimally and support sustainable development.
Utilization of plantation land for increasing Indonesian soybean production
Authors: Budiharti N , Wardana I N G 
Published: June 2020

Abstract
To meet the increasing demand for soybeans in Indonesia, it is necessary to increase the production rate. One way to do that is by utilizing the plantation land. The study was conducted by planting five Indonesian soybean varieties under the Sengon (Chinese albizia) tree, under a pine tree and next to the soursop tree. The data analysis used 2-factor experimental design with a confidence level of 95% and used a random model. From the results of the study it was found that there was no effect on the use of various types of Indonesian soybean varieties and the planting location toward the crop production. On the other hand, for the interaction of the use of various types of Indonesian soybeans and planting locations there was a slight influence on the crop production. Indonesian soybean production planted under Sengon trees is in an average of 2.4 kg/10mx 10m. The soybean planted under pine trees produced average of 2.5 kg/10mx 10m, while soybean planted next to soursop trees is in average of 2.3 kg/10mx 10m. Therefore, it can be concluded that plantation land does not affect the production of Indonesian Soybean. Each Indonesian soybean variety has its own production profile, as stated by its discoverer.
The role of innovation in the development of melinjo chips agro-industry in Aceh
Authors: Khairadini F , Sunarti T C , Anggraeni E 
Published: June 2020

Abstract
Melinjo chips are commonly eaten by Indonesian people as a condiment when having the main course. Aceh is one of the well-known areas for producing melinjo chips which yield up to 60 tonnes melinjo seeds in 2017. This paper aims at identifying the current condition of the production of melinjo chips enterprises, quality of products, and production problems faced by melinjo chips SME in Aceh. This paper also proposes recommendations for technology adoption by SMEs. This research took place in Pidie Regency, Aceh Province. The participants were selected using purposive sampling. Production process steps were selecting raw materials, frying, peeling, pounding, and drying. Problems faced by the SMEs are the inconsistency of finished product quality, non-standardized production process, low level of GMP implementation and lack of adoption of new technology. The recommendations are to change the production equipment, apply GMP guidelines for food production, use SNI for grading, and form a cluster.
Production planning of crude palm oil: a study case at X Co.
Authors: Marimin  , Zavira R 
Published: June 2020

Abstract
Increasing productivity of palm oil company could be done by solving problems in the company such as non-optimal production quantity, over range of production cost, stagnation of production activity, and unplanned of production condition. Those problems can be solved by managing production planning. The purpose of this research is to focus on production planning by determining the optimal production planning, determining the best production condition, and determining criticality of crude palm oil components process. Determination of optimal production planning using goal programming shows five goals formulation: minimize the production cost of crude palm oil (CPO) and fresh fruit bunch (FFB), minimize the deficiency of FFB, maximize production to fulfil demand capacity and maximize the number of FFB processed into CPO. The result of scenario simulation shows that by increasing the productivity of palm oil plantation (11-12%), increasing the yield of CPO (0.21-0.23%), decreasing the effect of maturity rate of FFB (2.5%), and fulfill the requirement of number of truck could decrease free fatty acids by 2.43% and increase number of production by 8408247 in January 2020. The result of the analysis of the assessment of critical components of the palm oil production process results in four classifications. The four classifications of equipment criticality rating (ECR) respectively, ECR 1 at station of boiler, thrasher, and digester, ECR 2 at station of sterilizer, ECR 3 at station of clarification and engine room, and ECR 4 at receiving station, fat pit, and water treatment.
Situational analysis and prospect of interest-free financing in tapioca agro-industry
Authors: Yulianto K , Sukardi  , Indrasti N S , Raharja S 
Published: June 2020

Abstract
Tapioca agro-industry is one sector that needs to be developed into a competitive industry as currently there are many users of its derivative products. However, its development deals with limited access to finance. The purpose of this study is to describe condition of tapioca agro-industry and its prospect of interest-free financing. This research is a review of previous studies discussing about the relevant topic. Review was undertaken through descriptive analysis on a number of related literature and was in accordance with availability of secondary data. Results of the study have provided information on condition of tapioca agro-industry and prospect of reinstating the interest-free financing through development of a partnership-financing model of tapioca agro-industry. This partnership model has some other advantages in addition to interest-free, such as collateral-free and profit-and-loss agreements that are mutually agreed among involved parties to minimize the gap between capital owners and business owners.
Value added of kenaf fibre in natural fibre agroindustry supply chain network
Authors: Nurhasanah N , Machfud  , Mangunwidjaja D , Romli M 
Published: June 2020

AbstractI Indonesia is among countries that produce fibre, which potentially becomes a flagship product domestically and internationally. Domestic demand for dried kenaf fibre reaches 30,000 tonnes/year, resulting in a gap between production and consumption. This study aims to analyse supply chain condition of kenaf fibre agroindustry, as well as analysing value added gained from an upstream supply chain of kenaf fibre agroindustry. Descriptive analytics method was employed to analyse supply chain condition. Whereas, value added was analysed using a number of methods: input output analysis, Hayami, modified Hayami, Rucker plan, and Tololiu’s value added. This study has demonstrated value added of kenaf fibre in supply chain network. Input output analysis by Central Bureau of Statistics (CBS) is the most appropriate method to determining the value added of kenaf fibre. It is IDR159,982,877 and IDR1,066,718,000 for woven fabric.