bluuebunny/crossref_metadata_2025_split huggingface dataset:
Inventory control model using exponential smoothing control chart
Authors: Mustafid  , Ispriyanti D , Sugito  , Safitri D 
Published: June 2019

Abstract
Decision making to determine stock replenishment has an important role in inventory management, especially to anticipate unstable consumer demand. The research aims to design statistical inventory control model for stochastic lead time demand using exponential smoothing and normal distribution approach. The exponential smoothing approach used to design prediction of daily demand and prediction of lead time demand. The normal distribution approach used to design statistical control chart of lead time demand, and also to determine the position of the safety stock and reorder point. Empirical analysis for the research is provided based on case studies for stock replenishment analysis on apparel industry. The results of the research provide a basic concept for decision-making to determine the safety stock and reorder point as the basic parameters in inventory management. The main contribution of the research results provides the application of statistical control chart as statistical inventory control by using smoothing method for data of demand in a lead time as two random variables normal distributed.
Classification tide levels in Semarang City use support vector machine
Authors: Sugito  , Safitri D , Mustafid  , Ispriyanti D , Prahutama A 
Published: June 2019

Abstract
As the capital of Central Java, Semarang is a coastal town located on the north coast of Java. This geographical feature exposes the city to environmental problems such as tidal flood (locally known as rob). Therefore, it is high at stake for the city to classify a certain model to determine the high of tide. One of the expert classification methods of machine-based learning is support vector machine (SVM), it is classified as the nonparametric machine which does not require any assumptions. The classification using SVM requires a kernel as a weight to determine support vector data to classify. Therefore, this study uses Kernel of polynomial and radial base function. As for variables of tidal classification, this study used wind speed and rainfall. On the basis of the analysis, the maximum tide level classification accuracy was carried out on the distribution of 80: 20 training and testing data resulting in a classification accuracy of 69.42%. Classification accuracy was determined by the distribution of training and testing data.
Risk factor analysis of hypertension with logistic regression and Classification and Regression Tree (CART)
Authors: Fernanda J W , Anuraga G , Fahmi M A 
Published: June 2019

Abstract
Hypertension is one of the most common inherited diseases among Indonesians. This disease can affect the onset of various diseases, such as kidney failure, stroke, diabetic, and heart failure. Early detection is an effective way to control the incidence of hypertension by knowing risk factors such as age, sex, family history, genetics (irreversible/controlled risk factors), smoking habits, alcohol consumption habits, obesity, lack of physical activity that have significant effect. The methods that used to analyzed significant risk factor are logistic regression and Classification and Regression Tree (CART). This research compared the accuracy of two methods to select the best models to predict the risk of Hypertension. From the result, CART better than logistic for predict hypertension risk with AUC of 0,584.
Smooth Support Vector Machine (SSVM) for classification of Human Development Index
Authors: Darsyah M Y , Suprayitno I J , Fuzi F , Otok Bambang W , Ulama B S S 
Published: June 2019

Abstract
Human Development Index (HDI) is measuring achievements of human development based on basic components of quality of life. Human development index is low score if HDI is less than 60, moderate HDI between 60 to less than 70, high HDI between 70 to less than 80, and equal to 80 and more than 80 belong to high HDI. Smooth Support Vector Machine (SSVM) is a classification technique that is new. The algorithm used is Newton Armijo with linear kernel, polynomial kernel, and Radial Basis Function (RBF) kernel. The result of classification of human development index with SSVM method with linear kernel shows the prediction accuracy 84.77%, polynomial kernel 61.65%, and RBF kernel 100%. Radial Base Function Kernel (RBF) is the most accurate kernel in predicting human development index.
The comparison of distribution patterns of macrobenthic assemblages adjacent floating net cage areas at Karang Lebar Island, Jakarta: a multivariate approach
Authors: Widodo  , Putro S P , Muhammad F 
Published: June 2019

AbstractWater and sediment ecosystems are often influenced by fish farming activities especially organic matter that lead to organic enrichment. The macrobenthic community is one of the benthic organisms that can be used as bioindicator to detect disturbances in aquatic environments. The purpose of this study was to compare the distribution patterns of macrobenthic assemblages adjacent to floating net cages situated at Karang Lebar Island, Jakarta using a multivariate approach. Three sampling locations were assessed, each with three stations and three replicates. Each location consisted of a floating net cage of monoculture, a floating net cage of IMTA (Integrated Multi-Trophic Aquaculture), and a reference site at Karang Lebar Island, Kepulauan Seribu, DKI Jakarta. All data concerning macrobenthic presence was expressed using diversity (H’), evenness (e) and dominance (C) indices.Further analysis done using multivariate analysis was presented as 2D-ordination by Nonmetric Multi-Dimensional Scaling (NMDS). The composition of macrobenthic assemblages was dominated by gastropods (18 species), bivalves (9 species) and Polychaeta (7 species). Based on NMDS ordination, there was a tendency of grouping stations by sampling time. It is particularly so between sampling times II and III, and between sampling times I and III. However, this grouping did not occur between sampling times I and II. It may indicate that the macrobenthic assemblages were influenced by certain annual seasons.Meanwhile, depending on sampling locations, the assemblages were influenced by environmental variability. The stations were grouped by the aquacultural areas and reference area on the ordination with some overlapping stations positioned among them. However, the tendency of grouping the stations between IMTA and monocultural sites did not occur, implying both farming practices have a relatively similar impact on the structure of macrobenthic assemblages.
In vitro antifungal activity of ethanolic and ethyl acetate extract of mint leaves (Mentha piperita L.) against Candida albicans
Authors: Lestyaningrum E N , Rukmi I , Pujiyanto S 
Published: June 2019

Abstract
The oral cavity health of human can describe their health condition. The oral candidiasis disease caused by Candida albicans, an opportunistic mycoflora in mouth cavity, can be treated with several antifungal drugs including nystatin, ketoconazole, and fluconazole. Mint (Mentha piperita L) leaves are one of the herbal ingredients used as a refresher in natural mouthwash and known to have antibacterial activity. This study aimed to determine the antifungal activity of ethanolic and ethyl acetate extract of mint leaves against C. albicans. The mint leaves were macerated with ethanol and ethyl acetate solvents, macerate obtained were then evaporated on a rotary evaporator. Ethanolic and ethyl acetate extract of mint leaves were tested for antifungal activity against C. albicans using the Kirby-Bauer method. The concentration of extract used was 40%, 60% and 80% w/v and 25,000 μg ketoconazole used as the positive control, while 100% dimethyl sulfoxide used as the negative control. The results showed that antifungal activity of ethanolic and ethyl acetate extract of mint leaves against C. albicans was weaker than 25,000 μg of ketoconazole. The strongest antifungal activity of ethyl acetate extract found at 80% w/v concentration with 9.95 mm diameter of inhibition zone, while the inhibition zone diameter formed in 80% w/v ethanolic extract was7.65 mm.
The growth and the production of potato plant supplemented by plant growth promoting rhizobacteria (PGPR)
Authors: Purwantisari S , Parman S , Karnoto  , Budihardjo K 
Published: June 2019

Abstract
Lack of nutrients is the major cause of potato production to decrease and potato plant not to grow well. The objective of the study was to analyze the effect of Plant Growth Promoting Rhizobacteria (PGPR) on the growth and the production of potato. The research was conducted in Kledung Village, Temanggung Regency (1,136 meter above the sea level), in 04 March – 04 June 2018. Randomized Block Design (RBD) with five treatments was applied with five treatments each of which was placed in a different plot and each plot was filled with 40 plant treatments. On the first plot, no treatment was given (P1); the second plot was given chemical fertilizer (P2), the third plot was supplemented with PGPR one dose (P3), the fourth plot was PGPR two dose (P4), and the last was the fifth plot treated with GA hormone (P5). The results showed that there was no significant difference in plant height. The highest potato production was in the group treated with PGPR 1 time was 277.1 g and the lowest was in the P2 group, which was 101.4 gr. PGPR directly increases the availability of nutrients for plants, and increases fertility. So, it, can be concluded that the administration of PGPR one dose is the best dose and increases potato production.
The Effect of plasma radiation with leaf fertilizer combination on vegetative growth of orchid planlets Dendobrium sp. at the acclimatization stage
Authors: Nisa M K , Prihastanti E , Haryanti S 
Published: June 2019

Abstract
Plasma discharge produces ozone for decontamination; when it is combined with leaf fertilizer, it is expected to support orchid growth. The purpose of this study is to determine the effect of plasma discharge and leaf fertilizer on the vegetative growth of orchid plants and to reduce contamination. The study used factorial Completely Randomized Design 3X3. The first factor is the duration of plasma discharge, including D0 (0 seconds), D1 (60 seconds), and D2 (120 seconds). The second factor is the level of leaf fertilizer which includes G0 (0 g/l), G1 (3 g/l), and G2 (5 g/l) given at two weeks after planting. The research parameters included the percentage of life, plant height, number of leaves, root length, wet basis, and chlorophyll content. Data are analyzed by using ANOVA (Analysis of variance) followed by DMRT Test (Duncan’s Multiple Range Test). The results showed that 60 second irradiation treatment produced the best percentage of life with low contamination. The results of the combination of plasma irradiation and leaf fertilizer treatment in 60 seconds irradiation and 3 g / l leaf fertilizer on parameters of plant height, root length, plant weight and the number of leaves.
Effect of the combination of tofu liquid waste and plant media of sago waste on the growth of cayenne (Capsicum frustescens L.)
Authors: Amalia S N , Prihastanti E , Hastuti E D 
Published: June 2019

Abstract
Sago and tofu waste still have high organic content so that it can be used as a planting media. This research is expected to help preserve the environment by reducing waste and using polybags in the cayenne pepper cultivation. The purpose of this study is to determine the effect of the combination of sago and tofu waste on the growth of cayenne. Research begins with taking sago waste and tofu waste, planting, and treatment. This study uses factorial Completely Randomized Design with three replications. The first factor is planting media, consisting of 5 media. The second factor is the tofu waste concentrations. The parameters of this study are plant growth and yield (wet weight and dry weight). The data is then analyzed by ANOVA (Analysis of Variance) test. The results showed that the interaction between planting media and tofu waste had a significant effect on all parameters. The treatment of planting media and black sago with tofu waste of 30% concentration showed the highest seedling growth in plant height, leaf number and area, wet and dry weight of roots and canopy because these media can provide sufficient nutrients for plants.
Effect of time fermentation kombucha tea on lipid profile of rats (Rattus norvegicus L.)
Authors: Isdadiyanto S , Tana S 
Published: June 2019

Abstract
The purpose of this study was to determine the effect of kombucha tea as drinking water by the time variation of fermentation. This study used 50 rats (Rattus norvegicus L.) male two months of age, with the treatment of the fermented kombucha tea for 6, 9 and 12 days at a temperature of 25°C orally. This study used a completely randomized design with 4 treatments (for 60 days) and 5 replications, namely: P0 = control, without the addition of kombucha tea, P1 = water + 1.8 ml in the morning and afternoon tea kombucha fermentation 6 days, P2 = water drink + 1.8 ml morning and afternoon tea kombucha fermentation 9 days, P3 = water + 1.8 ml in the morning and afternoon tea kombucha fermentation 12 days. The variables measured were cholesterol, HDL and LDL. Data were analyzed using ANOVA followed by Duncan test with a 95% confidence level using SPSS 10.0 software. The results showed that administering kombucha tea can raise levels of HDL, lowering LDL cholesterol and blood serum of white rats (Rattus norvegicus L.). In conclusion, kombucha tea is fermented for 6, 9 and 12 days could potentially be used as a supplement for the prevention of risk to vascular disease and coronary heart disease.
Work environment and musculoskeletal complaints of grinding workers of brass crafts
Authors: Dharmawan Y , Setyaningsih Y , Prasetyaningrum A 
Published: June 2019

Abstract
Brass handicraft was an informal industry in the Juana Subdistrict. Many types of work related to brass handicrafts. One of them is grinding work, which to smooth the metal pouring. The grinder worker works for 8 hours a day with a 1-hour break for rest. There is a lack of working environment and poor ventilation. This can affect work disruption and employee complaints. This aim of the study was to describe the working environment of grinding wheels in Brass handicraft SMEs, and worker complaints work in it. This research method using an observational approach by describing the grinding work environment and employee complaints. 32 grinding workers in Brass handicraft SMEs were included. The results showed that the work environment was poor sanitation, lack of ventilation and the room is narrow compared to the work tools installed. The workers worked with unergonomic work tools and heat stress exposure. The most musculoskeletal complaints are waist, back, neck and shoulder complaints. Grinder workers feel uncomfortable with their work environment. It must control the work environment by providing knowledge about occupational safety and health for the owner and worker. This effort can be done by establishing UKK post, as the center of preventive and promotive efforts of work health in Handicraft Brass SMEs.
Response of blood glucose level in hyperglycemic Rattus norvegicus towards giving of mixture of VCO and Olive oil with Vitamine E and their effects on the liver
Authors: Yuniwarti E Y W , Saraswati T R , Kusdiyantini E 
Published: June 2019

Abstract
Virgin coconut oil (VCO) and olive oil are edible oil containing antioxidant that can prevent free radicals in Rattus norvegicus hyperglycemic due to the damage of pancreatic beta cell after alloxan injection. Virgin coconut oil and olive oil are fatty acids that when being consumed will affect the diameter of hepatocyte cells. this study aims to analyze the response of blood glucose levels in hyperglycemic Rattus norvegicus after administration of a mixture of VCO and olive oil with vitamin E and its effects on the liver. Research materials were twenty male Rattus norvegicus were. Randomized Factorial Design was used in four treatment groups including P1 was control, P2 was mice injected with alloxan, P3 was mice injected with alloxan plus 0.1 ml/BW of each VCO and vitamin E and P4 was mice injected with alloxan plus 0.1 ml/BW of each olive oil and vitamin E. Each treatment was replicated 5 times. Feed and water were provided ad libitum for four weeks. The result showed that there was no significant difference in the level of blood glucose between P3 and P4 but significant difference with P1 and P2. The diameter of hepatocyte cells and Hepatosomatic Index not significant than the other treatments. It can be concluded that VCO and olive oil are equally capable of decreasing blood glucose and does not cause negative effects on the liver.
Cadmium (Cd) content in mangrove oyster (Crassostrea sp.) in tapak coastal water semarang, Indonesia
Authors: Saputro J A , Hidayat J W , Hariyati R 
Published: June 2019

Abstract
Tapak area is an estuary of Tapak river where there are many mangrove and oysters (Crassostrea sp.) found. The development of industrial estate there has been affect Tapak waters, due to waste contamination containing heavy metals. This in turn will affect the occurrence of heavy metal accumulation in oysters, a cheap fisheries protein source. This research is purposed to identified Cadmium (Cd) content in oysters and water of Tapak coastal waters, Semarang. Sampling was taken throught justified random sampling. Laboratory analysis of Cd performed by using Atomic Absorbtion Spectrofotometer (AAS). Data analysis were undertaken using descriptive analysis, numerical indices and statistical analysis. Result showed that Cadmium (Cd) content in oyster in tapak areas were ranged between 0,242 - 0,402 mg/kg, with average 0,340 mg/kg. This value is still below water quality standart regulated by ISO 7287 by 2009 in amount of 1,0 mg/kg. It is concluded that Cadmium (Cd) within the oyster is still low stage, yet there should be carefully consumed, because Cadmium (Cd) was toxic and bioaccumulative heavy metal.
Impact of a El-Nino Southern Oscillation (ENSO) to Fluctuation of Skipjack Catch Production in Southern East Java
Authors: Handayani C , Soepardjo A H , Aldrian E 
Published: June 2019

Abstract
There are challenges in utilizing marine resources in Indonesia and one of them is environmental changes caused by ENSO phenomenon. Skipjack catch production in southern Malang has been fluctuated since this phenomenon occurred. Lack of information about ENSO phenomenon among fisherman has led to under-utilized fish production which resulting in less Skipjack caught during ENSO. The purpose of this study was to analyze the impact of ENSO phenomenon to catch production of Skipjack. The method used in this study was by gathering secondary data of catch production of skipjack and seawater surface temperature from satellite image of level 3 AQUA-MODIS with 4 km resolution during ENSO which occurred between 2014-2016. The result of this study showed that seawater surface temperature on southern Malang was 24,825-32,055°C. Southern Oscillation Index (SOI) showed strong El-Nino occurred between May-October 2015, La-Nina occurred between June-September 2016. Analysis data showed that there was less significant influence of ENSO and seawater surface temperature which led to other variables may contribute into ENSO. During El-Nino 2015 there was sharp increasing of skipjack catch production in southern Malang and the major cause was colder seawater surface temperature, this indicating that the seawater was rich of nutrients. Supporting by optimum water condition during El-Nino that location was rich of food resources which suits some of big pelagic fishes, particularly skipjack.
The diversity of plankton in fish aquaculture water of minapolitan Menayu village, Muntilan district, Magelang regency
Authors: Wulandari A , Putro S P , Muhammad F 
Published: June 2019

Abstract
Plankton is a group of the organism which takes an important role in a water ecosystem because Plankton is natural food for larva organism in the water. The level of plankton production in the water can be used for suspecting potency of stable and unstable water. The condition of water can affect Plankton’s life sustainability or their survival which is their diversity. The stability of water condition is the key successful determiner of aquaculture of Trout in Minapolitan, Merayu Village. From the four stations which had been taken its sample, it was found some Phylum of plankton such as Bacillariophyte, Chlorophyte, Cyanophyte, Dinophyte, Sarcodine, Copepoda and Rotifera with 31 genera. Data was taken then calculated by using the Shannon Wiener Method. Base on the Index value of diversity in Station I was about 1.54 – 1.72, Station II was about 1.71 – 2.37, station III was about 1.72 – 2.18 and the station IV was about 2.60 – 3.04. The index of homogeneity in the station I was about 1.27 – 2.08, station II was about 1.78 – 3.17, station III was about 2.12 – 2.96 and the station IV was about 2.48 – 4,43. The Index of dominance in the station I was about 0.93 – 0.96, station II was about 1.78 – 3.14, station III was about 0.78 – 0.91 and station IV was about 0.92 – 0.96. Based on the index value of diversity of plankton in aquaculture water was classified as medium, the index of homogeneity was evenly distributed, and its index of dominance was high. The condition of fish aquaculture in Minapolitan, Menayu village is still in good stability ( stable) and proper for Trout Fish Aquaculture based on its index of Biology.
Evaluation of the fragmentation of an oxide-silicate material by image analysis
Authors: Ignatova A M , Ignatov M N , Nikhamkin M A , Voronov L V 
Published: June 2019

Abstract
The study of the fragmentation parameters of non-metal objects, usually oxide-silicate, when colliding with metal barriers at various speeds is an important aspect of ensuring and assessing the reliability of the structure in aviation and space engineering, as they help simulate collision situations with striking objects in the air and space. With such an assessment, the size and number of fracture fragments are determined, as well as their speed and direction of movement at the moment of impact and after it. The problem of estimating the physical parameters of fracture fragments, such as size and weight, has been solved quite well, however, these methods are quite laborious. Evaluation of the speed and direction of movement of the fracture fragments is carried out, as a rule, when analysing the video recording of an experiment. The quality and information content of such an assessment depends on the quality of the video, shooting parameters and processing method. The paper proposes to use the image analysis implemented by using open source software ImageJ-Fiji for video processing and for estimating the parameters of fracture fragments. The paper discusses the experimental data on the impact of a spherical object of an oxide-silicate composition with a diameter of 23 mm with a static barrier - a sheet of titanium alloy 2 mm thick at a speed of 230 m/s. It is shown that using image analysis and statistical data processing, parameters such as the size and number of fracture fragments, the initial and final velocities of objects moving, as well as the direction of their movement can be set.