bluuebunny/crossref_metadata_2025_split huggingface dataset:
Reproductive and larval performance of artificially spawned javaen barb Systomus orphoides from two populations
Authors: Iswantari A , Cahyanti W , Putri F P , Hedianto D A , Prakoso V A , Kristanto A H 
Published: May 2021

Abstract
Indonesian freshwaters are rich in fish biodiversity, one of them is javaen barb. In terms of domestication, it is important to ensure the fish breeding and larval rearing in ex-situ environment. Therefore, studies on artificial spawning are needed to strengthen the information about reproduction of javaen barb in ex-situ environment for domestication and aquaculture purposes. This study aimed to evaluate the reproductive and larval performance in artificially spawned javaen barb within two populations. Broodfish were obtained from West Java (Tasikmalaya and Cianjur population), kept on the fish nets (2×2×1 m) inside the large ponds for two months of adaptation. Broodfish were attached by RFID chips and periodically observed their size and gonad maturity level. Ripen broodfish were artificially spawned. Several reproductive parameters were observed during the experiment, such as egg diameter, fecundity, fertilization rate (FR), hatching rate (HR), and hatching time. Moreover, larval performance was also observed. The results showed that javaen barb successfully spawned with 11 hours of latentcy period. Javaen barb from Tasikmalaya population had a significantly higher fecundity than that of the Cianjur population. Meanwhile, other parameters observed in relation with reproductive and larval performance were not significantly different.
Diversity of riparian plants of black water ecosystem in the Sebangau River of Central Kalimantan Indonesian
Authors: Lukas  , Hastari B , Ardianor  , Gumiri S 
Published: May 2021

Abstract
Riparian vegetation that grows on the bank of the Sebangau river plays an important role in supporting the composition of the biota and the quality of river water. This study aims to investigate the condition of riparian vegetation in the Sebangau river. Sampling was carried out in March 2020 using quadrant methods are with various size 1 × 1 m plots for herb and grass habitus 5 × 5 m for shrub habitus, copses, lianas, and 10 × 10 m plots for tree habitus. The data analyzed were species composition, diversity, and species dominance. The results showed that the plant composition at the study location was characterized by herb and grass habitus where we found 4 families (214 individuals) of grass and herbs, 3 families (135 individuals of shrubs, copses and lianas), and 2 families (282 individuals of tree habitus). The herb and grass habitus were dominated by Hydrilla verticillata species, shrub, copse, and liana habitus were dominated by Pandanus helicopus species, and the dominant species of tree habitus was Shorea balangeran. The low diversity index was found in tree habitus, while for herb and grass habitus and shrubs, shrubs and lianas were classified as moderate diversity.
The growth potential of single-celled marine Chlorophycean microalgae in modified saline karst water culture media
Authors: Mulyawati D , Pratiwi N T M , Widigdo B , Panggabean G T 
Published: May 2021

Abstract

Chlorella sp. and Nannochloropsis sp. as two common single-celled marine Chlorophycean microalgae were cultivated in modified saline karst water culture media. The survival and growth of those two microalgae were the objectives of this study. There were three different modified nutrients in saline karst water applied for Chlorella sp. and Nannochloropsis sp. cultivation. The result shows that the highest density of Chlorella sp. was shown on the fourth day, but dropped sharply to the tenth day, and had the potential to increase at the end of the observation. The highest density of Nannochloropsis sp. was reached on the sixth day, then decreased slightly and stabilized, even showing an increase at the end of the observation. Overall, Chlorella sp. and Nannochloropsis sp. showed different adaptation patterns for survival and growth on modified saline karst water culture media.
Productivity and susceptibility analysis of Indo-Pacific king mackerel in IFMA 711 waters
Authors: Noegroho T , Adrianto L , Sulistiono  , Boer M 
Published: May 2021

AbstractIndo-Pacific king mackerel has been long fished by traditional and modern fishers. The fish is a catch target species with high economic value in local and export markets. The fishing efforts for the fish have been increasingly intensive. The management for which is still lacking. The concern is, continuous exploitation will make indo-pacific mackerel stock susceptible. The fish condition should be measured based on productivity and susceptibility parameters using productivity susceptibility analysis (PSA). The study aimed to analyze the sustainability of Indo-Pacific king mackerel and other species caught by gillnet and purse seine in IFMA 711 based on productivity and susceptibility scenarios. The study analyzed Indo-Pacific king mackerel and other species, i.e. whitefin wolf-herring, narrow-barred Spanish mackerel, longtail tuna, eastern little tuna, and bigeye scad. The results of the analysis suggest that Indo-Pacific king mackerel and whitefin wolf-herring were of moderate productivity and susceptibility, narrow-barred Spanish mackerel and longtail tuna were of high productivity and low susceptibility, and eastern little tuna and bigeye scad were of low productivity and high susceptibility, putting both at high risk from fishing activities. Also, the data quality of Indo-Pacific king mackerel was moderate, while the data quality of whitefin wolf-herring was the worst. Therefore, it is necessary to improve the quality and quantity of the data and scientific information on whitefin wolf-hearing in further studies.
Application of loop mediated isothermal amplification (LAMP) method for detection of Edwarsiella ictaluri on patin (Pangasius sp.) fish
Authors: Novita H , Purwaningsih U , Lusiastuti A M 
Published: May 2021

Abstract

Edwarsiela ictaluri is a potential bacteria as a pathogen causing Enteric Septicemia of Catfish (ESC) and also still a big problem in catfish because it can cause death to 100%. This study aims to develop diagnosis DNA based on molecular using Loop Mediated Isothermal Amplification. Method (LAMP). Detection DNA of E. ictaluri bacteria from 9 isolates was extracted at Fish Health Laboratory, in Depok. used four pieces of specific primers from Eip 18 gene of E. ictaluri. DNA amplification, for LAMP reactions without a thermocycler machine, using only an incubator/water bath/oven, at 65°C for 1 hour. The result of detection with LAMP, showed that 8 isolates were positive of E. ictaluri marked by SYBR green I color change from orange to green. While 1 isolate was negatively marked with SYBR Green remain orange. The LAMP results are also verified with PCR using outer primer F3 and B3 which showed positive E. ictaluri. LAMP can detect ESC disease simple, quickly, easily, economically in 1 hour compared by PCR and LAMP method can be used as an alternative diagnostic test for fish diseases, especially in areas with limited laboratory infrastructure.
Spatial assessment of seagrass ecosystem using the Unmanned Aerial Vehicle (UAV) in Teluk Awur, Coastal Water of Jepara
Authors: Riniatsih I , Ambariyanto A , Yudiati E , Redjeki S , Hartati R , R Triaji M J , Siagian H 
Published: May 2021

Abstract
Seagrass ecosystem are highly sensitive to environmental changes. They are also in global decline and under threat from global climate change and a variety of anthropogenic factors. There is now, a spatial assessment method for the monitoring of the seagrass beds is needed, so that changes in seagrass condition can be understood. Typical monitoring approaches have included remote sensing from satellites and unmanned aerial vehicle platform, and ground base ecological survey. The techniques can suffer from temporal and spatial inconsistency, or are very localised making it hard to assess seagrass meadows in a structurer manner. The aim of research was present the technique using a lightweight drone and consumer grade cameras to produce very high spatial resolution mosaics of intertidal site in Teluk Awur, Jepara water, Indonesia. The data collection methodologies followed by digitation method techniques to produce coverage estimates, with ground check at location, with data drone analysis. This result show that digitation method, can show between the observed and classified low coverage seagrass (<25%), to middle coverage seagrass (between 25< and <50%), also can detect other biotic features, like massive coral, macroalgae also the flat sand and coral rubble.
Phytoplankton species potentially Harmful Algal Blooms (HABs) in Jakarta Bay
Authors: Sidabutar T , Srimariana E S , Wouthuyzen S 
Published: May 2021

Abstract
The occurrence of algal bloom causes problems in many parts of the world, including in tropical Indonesian coastal waters. Harmful algal bloom events in Jakarta Bay have been increased since several years ago and causing massive fish kills which lead to economic losses in local fisheries, a decrease of water quality, and threat to people consuming fish from the bay. Research was conducted in Jakarta Bay in 2008, 2009, 2010, 2011, 2013 and 2015, to study the variability of phytoplankton species that potentially as bloom maker. The samples were taken by 20 μm mesh size plankton net which deployed vertically to a depth of 7 - 10 meter at each station. The results showed that the abundance of phytoplankton ranged from 106 to 108 cells.m−3. The population composed of 27 taxa, mostly belong to diatoms and dinoflagellates. We observed there are nine genera of phytoplankton which potentially as harmful algal bloom species, occurring in Jakarta Bay. Three of them are known as the predominant species of algal bloom in this bay, namely: Skeletonema, Chaetoceros, and Thalassiosira. Besides that, there are some species also playing a role in the tragedy of fish-killing due to oxygen depletion during blooms events in Jakarta Bay.
Distribution of dissolved heavy metals Hg, Pb, Cd, and As in Bojonegara Coastal Waters, Banten Bay
Authors: Surbakti E P , Iswantari A , Effendi H , Sulistiono  
Published: May 2021

Abstract
Heavy metals in the waters come from many sources such as anthropogenic activities and could significantly impact the environment. This study aimed to determine the distribution of dissolved heavy metals of Hg, Pb, Cd, and As in the coastal waters of Bojonegara. Sampling was conducted from October to December 2019 at six stations. Data analysis consisted of distribution of heavy metals, heavy metal correlation with water quality, and comparison of actual heavy metals concentration to heavy metals quality standard concentration. Based on results, the concentrations of Hg, Pb, Cd, and As at six stations were below the detection limit, except Pb in November. The high Pb concentration was found the most in the river area and the concentration getting lower towards the sea. Based on correlation analysis results, heavy metals concentration is influenced by temperature, salinity, pH, and DO. According to Ministerial Decree of Environment No. 51 of 2004 concerning seawater quality standards for biota, the concentration of Hg, Pb, Cd, and As in coastal waters of Bojonegara still in good condition for aquatic life.
Sustainability challenges in developing marine-based adventure tourism in Ambon
Authors: Umarella M R , Baiquni M , Murti S H , Marfai M A 
Published: May 2021

AbstractThere has been growing demands for nature-based tourism involving diverse activities. Marine-based adventure tourism is one of it, which is based on a unique combination of marine biodiversity, scenic beauty, and sea activities such as sea kayaking and diving. The consequences of rapid growth destroy the natural resources because in many cases, any type of tourism industry only focusing on economic development. Sustainable marine-based adventure tourism should balance with many local factors, especially the residents’ socioeconomic activities. The unplanned marine-based adventure tourism development can gradually destroy its natural environmental resources on which it depends, the marine ecosystem. In this paper, the authors describe the possible effects of marine-based-adventure tourism development on natural resources along with solid waste pollution challenges and finally, how the residents are involved in overcoming these sustainability challenges.
A morphometric approach into mackerel (Rastrelliger spp.) diversity in Fisheries Management Area 711 as a management base
Authors: Wardiatno Y , Aziz A , Zairion  , Meilana L , Hakim A A 
Published: May 2021

Abstract

Rastrelliger spp. is a small pelagic fish with important ecological and economic value in Indonesia. Genus Rastrelliger has three species with different distribution patterns, so they have diversity in morphology and populations in several waters. The study aimed to analyze the morphometric diversity of mackerel (Rastrelliger spp.) in Bintan, Bangka, and Ketapang waters (Fisheries Management Area 711) using standard morphometric methods and truss network analysis. 310 samples were collected from all locations based on simple random sampling. The growth pattern of Rastrellliger spp. was negative allometric in each location. The cluster analysis showed that the mackerel populations from Ketapang and Bangka formed one group, while Bintan tended to be different. Based on the discriminant analysis, there are overlapping populations between Ketapang and Bangka. The difference of morphometric characters on mackerel (Rastrelliger spp.) can indicate different species, so there is potential for more than one population or stock in FMA 711.
Thermal and Optical Properties of Oil Palm FFB for Optimum Harvest Window Prediction
Authors: Makky M , Cherie D 
Published: May 2021

Abstract
Best practices in oil palm cultivation to improve efficiency are challenging. Enormous capital has been invested in superior seeds, water and fire management, as well as fertilization. However, heavy loses frequently occurred at the time of harvesting. Oil palm fruits grow in dense bunches, called fresh fruits bunch (FFB), containing mass number of fruits. The fruits ripen non-uniformly and formidable to observe visually. Therefore, untimely harvest is unexceptional. Previous studies suggest that camera-aided observation produce more accurate results for determination of FFB ripenes than visual inspection. However, these techniques prone to environment change such as sunlight. In this study we propose the use of hybrid-camera which can observe the FFB in multispectral-regime. The prototype was able to better identify changes in FFB physical and thermal characteristics upon maturation and ripening. The new approach enables better optimum harvest window prediction for FFB with R2 of 0.8344, while previous study can only obtain R2 of 0.7818. The result provides better harvest practice in oil palm industry to improve the overall efficiency of cultivation.
The Government Support Model on the Development of SMEs in West Sumatera Province. Indonesia
Authors: Rahmi E , Yuzaria D 
Published: May 2021

Abstract
Small and Medium Enterprises is one of the priorities in economic development in Indonesia. West Sumatra has areas with unique creative industries based on livestock production. The development of the creative industry which has high additional value to product prices needs greater attention so that it can grow. The SMEs that are the focus are those based on creative industries, there are culinary SMEs made from beef and poultry products. This study aimed to develop a government support model to determine the factors that influence the development of SMEs, so that the factors that influence the development of SMEs can be identified. The analysis method used was partial least square-structural equation modeling (PLS-SEM). The findings of this study are government policies have a direct influence on the internal factors of SMEs, but do not have a direct effect on SMEs’ performance. More intensive and more focused policies are still needed to improve the performance of SMEs.
Increasing the Competitiveness of Micro, Small and Medium Enterprises of Skin Crackers in Padang City West Sumatra Province Indonesia
Authors: Yuzaria D , Rahmi E , Rias M I 
Published: May 2021

Abstract
Innovation is needed by micro, small, and medium enterprises (SMEs) to grow and survive in an increasingly competitive business competition. However, innovation must be adapted to the existing constraints considering the limited number of employees, total assets, total revenue, and the amount of the budget for innovation. Forms of innovation that can be carried out by a business in an effort to increase its competitiveness include business model innovation, marketing, organization, processes and technology, products, services, and supply chains. Human resources is an important factor in improving the performance and innovation of micro, small, and medium enterprises. This study aimed to design an innovation strategy in accordance with the constraints, human resource capabilities and innovation opportunities in an effort to increase competitiveness. The analysis was done by using the structural equation modelling method with partial least square approach. It was proven that human resources play an important role because they greatly affect the success of both overcoming obstacles and the implementation of innovation.
The Design of the Divider Door for the Orange Grading Machine Based on the Diameter and Color Uses Image Processing
Authors: Ifmalinda  , Andasuryani  
Published: May 2021

Abstract
Post-harvest handling will affect the quality of agricultural commodities. One of the main post-harvest activities of orange fruit is grading. Grading is an activity to separate or classify orange fruit based on certain criteria such as size, weight, and color according to the applicable quality standard. This grading activity is important because it will determine the next handling process. Generally, orange grading activities are done manually, this was chosen because the process can be faster, but the manual grading has weakness e.g less efficient and requires more man power. Using the man power in determining product quality are based on experience, guesswork and tend to be subjective because it is in accordance with the perceptions of human being. A grading system and machines that use controls were developed to obtain a more uniform product based on color and size is an alternative to overcome this problem, . Nowadays, the grading process has been developed with an automation system using electronic and mechanical devices so that the results are more effective and accurate. The grading process of orange fruit with a divider door that uses image processing application and a microcontroller will have more precise and objective capability. It will be more profitable than manual grading in the future life. The aim of this research is to design a machine grading system based on the Arduino microcontroller. The grading machine uses an image processing application that reads the diameter value and skin color of the orange, Arduino microcontroller is used to separate oranges based on its quality class using a divider door connected to a stepper motor. The design of the orange grading machine has a size of 1.35 cm × 74 cm and has 4 grading classes, i.e class A, class B, class C and class D. The design of the divider door for the orange grading machine has 2 trapezoid-shaped doors, the length of the first door is 30 cm, the width of the top is 26 cm and the width of the bottom is 10 cm. The length of the second door is 30 cm, the width of the top is 22 cm and the width of the bottom is 10 cm. The percentage of suitability of the results of the grading machine with a dividing door compared to manual grading of oranges is 97%. Image processing error percentage is 14%. The capacity of the orange grading machine model with a dividing doors is 300 items / hour and the efficiency value of the orange grading machine model is 55.66%.
Moisture Sorption Isotherm and Isosteric Heat of Butterfly-pea Flowers (Clitoria ternatea)
Authors: Hawa L C , Efendi M , Ubaidillah  , Razak A A , Wibisono Y 
Published: May 2021

AbstractButterfly-pea (Clitoria ternatea) flowers are containing various active compounds such as flavonoids, myricetin, quercetin, flavonols, and anthocyanins which have potential as antioxidants. Dried butterfly-pea flower is often used as an ingredient of herbal tea drinks. The drying procedure for the butterfly-pea flower is important to maintain the shelf-life. However, during the drying process, anthocyanins are easily be degraded before reaching the balance of water content. Therefore, a study focus on moisture sorption isotherm of fresh butterfly-pea flowers is needed. This present study aims to determine the balance of water content and isosteric heat of butterfly-pea flowers using a static gravimetric method. Water activities were conditioned using chemical solutions of KOH, MgCl2, K2CO3, NaCl, KCl, and BaCl2with a water activity range of 0.06-0.90. The hysteresis curve was determined using desorption and adsorption samples with various temperature variations of 30, 40, and 50°C. The isothermal behavior of butterfly-pea flowers was determined based on GAB, BET, Halsey, Oswin, and Peleg models. As a result, the Peleg model was found to be the most suitable model to represent the moisture sorption isotherm of butterfly-pea flowers and based on Brunauer classification including the Type II-sigmoid curve in which has been statistically analyzed using determination coefficient (R2), mean relative modulus (P), and root mean square error (RMSE). The hysteresis curve indicated that the balance of water content of the desorption sample is higher than the adsorption sample on the same water activity level. The net isosteric heat in the desorption and adsorption samples were 48.529 exp (−xe/0.0734) and 53.591 exp (−xe/−0 0797), respectively.
Development of Artificial Neural Network Model for Soil Nitrate Prediction
Authors: Rohman F , Setiawan D , Prasetyatama Y D , Sutiarso L 
Published: May 2021

Abstract
Nitrate is the main form of nitrogen absorbed by plants. Leaching of nitrate can contaminate groundwater. The measurement of soil nitrate with conventional methods is less practical, takes a long time, and requires a lot of costs. Measurement of variables that affect the presence of soil nitrate can be an alternative solution. The application of prediction models is proven to save time and cost. Complexity problems can use the ANN model. This study aims to developed prediction models for soil nitrate use the ANN model. The measurable parameters such as solution volume, soil moisture, and soil electrical conductivity were used as input parameters for the model prediction development. The samples use oven-dry soil that was added nitrate solution with several variations. The measurement of parameters was carried out in three replications. The training and validation of the ANN model resulted in RMSE values of 1, 0840029 and 1, 000646 then R2 values were 0.973 and 0.970. The ANN model can be an alernative to predict soil nitrate at different monitoring volumes.