bluuebunny/crossref_metadata_2025_split huggingface dataset:
The effectiveness of Papain Enzyme Supplementation in Artificial Feed on Growth and Survival Rate of Mangrove Crab Larvae (Scylla Olivacea)
Authors: Haryati H , Saade Edison 
Published: March 2019

The ability of mud crab (Scylla olivacea) larvae to digest artificial feed depends on the availability of digestive enzymes. To improve the ability of the larvae to digest artificial feed can be done by adding exogenous enzymes. Papain is a protease enzyme capable of hydrolyzing proteins into simpler molecules so that the larvae can utilize artificial feed optimally. This study aimed to determine the appropriate dosage of papain enzyme and stadia of artificial feeding on growth and survival rate of mud crab (Scylla olivacea) larvae. The experimental design used was a factorial pattern with complete randomized design, the first factor was the dose of papain enzyme (0%, 1.5%, 3.0% and 4.5%), while the second factor was the different stadia of artificial feeding that started, at stadium Zoea II and Zoea III. The results showed that the difference of papain enzyme dose, different stadia of artificial feeding and the interaction between the dosage of papain enzyme and the artificial feeding stage had a significant effect (P <0,05) to the growth of carapid width and length and specific growth of individual weight. The artificial feeding larvae from Zoea II stadium with 3.0% and 4.5% papain enzyme dose were not significantly different (P> 0.05) compared to those administered with artificial feeds starting Zoea III stadia, but higher and significantly different (P <0.05) than those fed artificial feeds starting Zoea II stadia with a dose of 0% and 1.5% papain enzyme. The survival rate of larvae from zoea I to megalopae at a dose of 3.0% and 4.5% papain enzyme was not significantly different (P> 0.05) but higher and significantly different with 0% and 1.5% dose (P < 0.05). In the rearing of mud crabs larvae, artificial feed that has been predigesting with a dose of enzyme papain between 3.0% to 4.5% can be given starting stadia Zoea II.
Trust Model Based On Islamic Business Ethics and Social Network Analysis
Authors: Kolan Nor Faradila , Jailani Norleyza , Abu Bakar Marini , Latih Rodziah 
Published: March 2019

Buyers and sellers in e-commerce market such as e-auction form a virtual community. They use the feedback system to rate each other following a completed transaction and these ratings are used to build their reputation in the virtual community. Existing reputation systems can often be easily manipulated by forming cohesive group in giving fake user feedbacks to increase their respective reputation. This practice is a clear violation of Islamic business ethics. In addition, there is currently no real-time support for reputation system and this causes users to be misinformed on the reputation of a seller. To improve the reputation system this study developed a trust framework based on business Islamic ethics. In this paper, a trust model which evaluates conformance to nine Islamic business ethical codes is proposed to calculate users’ initial trust value based on their ethical behavior. The trust model proposed the Islamic business ethics algorithm which calculates the user compliance to Islamic business ethics (IBE) score based on trading partner’s feedbacks. Because of feedback frauds can still occur, this study introduces a cohesive group algorithm to track users who collaborate to give false feedbacks. The cohesive group algorithm applied k-core algorithms which is capable of determining the strength of the relationship of every user in the cohesive group. The cohesive group algorithm also proposed a cohesive score to determine the feedback reliability of every user’s transaction based on the user’s k-core and the highest k-core. In the group user reputation (trust score) is measured by considering the feedback reliability status for all transactions. A reputation prototype system for e-auction was developed as the test bed to validate the trust model through simulation of the set of initial experiments, showing the feasibility and benefit of the model.
A Proposed Model for Virtual Fitting Room Based on Usability and Profound Emotional Elements
Authors: Noordin Syazwan , Sahari @ Ashaari Noraidah , Tengku Wook Tengku Siti Meriam 
Published: March 2019

Technological advancement has evolved the way business is conducted. Companies around the globe venture into e-commerce to reach more customers apart from the traditional retails and marketing approaches. Nowadays, almost everything could be found sold via the internet regardless of size, usage, price and etc. The challenge of e-commerce channel is coming from its inability to provide a practical ways in giving the customers the sense of trying before purchase which is crucial for some product type namely clothing. This paper presents the issues in the e-commerce clothing industry, namely fitting issues and problems encountered in existing Virtual Fitting Room (VFR) applications. These issues include usability and lack of a profound emotional stimulant within existing applications. A systematic procedure of searching related literature on VFR is done based on several identified criteria from the established online repository. The extensive search result is then filtered based on the identified criteria once again to obtain the suitable model to be further studied. This study reviewed five VFR-related models, with the results confirming the issues of usability and profound emotional elements in each model. This study also proposed a new VFR model based on the Unified Theory of Acceptance and Use of Technology (UTAUT), which consists of usability and profound emotional constructs. These elements were mainly included to solve the identified problems and to provide guidelines for a design solution, which is usable, useful, and delightful.
Integrated Gas – Electricity Network - Combined Heat and Power Optimization with Associated Petroleum and Wet Gas Utilization Constraint
Authors: Pujihatma Priambudi , Hadi Sasongko Pramono , Sarjiya Sarjiya , Rohmat Tri Agung 
Published: March 2019

Aside from liquid hydrocarbon, oil exploration also produces associated petroleum gas and wet gas. The use of associated petroleum and wet gas adversely affects gas turbine performance and gas line operation in several ways such as low gas quality, unstable heating value, and high H2S content. This research develops an integrated gas - combined heat and power optimal power flow with associated petroleum and wet gas utilization constraint. Thermodynamic equations are used to model gas turbine and gas network operation when subjected to low-quality fuels. To meet the fuel quality standard, additional constraints are considered. These constraints include the Modified Wobbe Index, a critical parameter for gas turbines, and H2S content, a critical parameter for pipelines. The results show that the proposed model can optimize combined heat and power cost by determining the most efficient power - steam dispatch, optimal fuel mixture and gas line pressure settings, while still meeting operational constraints.
Impact Assessment of State Assistance Program to Agri-based Micro, Small and Medium Enterprises in the Philippines
Authors: Herpacio Charles Allen L. , Hidalgo Hanilyn 
Published: March 2019

The Philippine business economy is largely fuelled by micro, small and medium enterprises. In order to cope with the competition with large firms in the industry, the government has poured investments in form of technology upgrading in the last 15 years. The research aimed to assess the impact on productivity and profitability of state assistance to agri-based micro, small enterprises. Partial Budget Analysis was used in assessing the profitability of the proponent after the intervention. The study showed an average increase in enterprises' production volume, sales level, and generated employment by 157.9%, 51.65%, and 191.82%, respectively. Further, the assistance generated a positive increase in income. However, the defective equipment, failure to meet the repayment schedule, and non-compliance to documentary requirements were among the major problems encountered by the proponent during program implementation. Nonetheless, the state assistance was able to spur innovations among the enterprises. Market potential, market knowledge, financial capability to repay the loan as well as the entrepreneur’s resiliency were some of the observed success factors of MSMEs. With its positive firm-level impact, the state assistance program has generally been able to improve its proponent’s competitiveness and thus worthy for continuous implementation.
Rules Discovery of High Ozone in Klang Areas using Data Mining Approach
Authors: Ali Othman Zulaiha , Ismail Noraini , Abu Bakar Azuraliza , Latif Mohd Talib , Syed Abdullah Sharifah Mastura 
Published: March 2019

Ground level ozone (O3) is one of the common pollution issues that has a negative influence on human health. However, the increasing trends in O3 level nowadays which due to rapid development has become a great concern over the world. Thus, developing an accurate O3 forecasting model is necessary. However, the interesting pattern from the data should be identified beforehand. Association rules is a data mining technique that has an advantage to discover frequent patterns in a dataset, which subsequently will be useful in the research domain. Therefore, this paper presents the discovering knowledge based on association rules and clustering technique towards a climatological O3 dataset. In this study, the data was analysed to find the behaviour of each precursors. Later K-means clustering technique was used to find the suitable range for each chosen variable independently, then applied Apriori based association rules technique to present the behaviours in a meaningful and understandable format. The climatological O3 time series data has been collected from Department of Environment for Klang station from year 1997 to 2012. However, the proposed method only applied on high O3 concentration data during stated years to find the association pattern. The outcome has discovered 17 strong rules. The patterns and behaviours of the selected variables during high O3 concentration has been discovered. The rules are benefit to the government on how to control the air quality later.
A Model for Afghanistan’s Cyber Security Incident Response Team
Authors: Jalal Islahuddin , Mohd Yusof Maryati , Shukur Zarina , Mokhtar Mohd. Rosmadi 
Published: March 2019

Persistent cyber threats require effective and efficient mitigation techniques. The cyber security incident response team (CSIRT) is expected to respond to external and internal cyber threats or incidents. Various organizational, national, and international level CSIRTs have been developed for defending and protecting such kinds of threats. Developing countries like Afghanistan have also formed a Computer Emergency Response Team for handling national cyber incidents although it provides limited services to only a few constituencies and depends on funding from foreign donors. Therefore, a new organizational model was proposed to provide guidelines for a specific country, instead of a provision from a constitutional context. Five national CSIRTs were compared to identify their features and characteristics to provide basis for the proposed framework. The study presented the proposed model based on two CSIRT organizational models that incorporated a new funding strategy to achieve a Sustainable National CSIRT for developing countries. Our model combined coordinate and security teams; if consists of constituency’s mission, services, resources, organizational framework, and funding strategy. This study employed qualitative method by using document analysis and interview techniques. CSIRT for Afghanistan known as AFCERT was evaluated in terms of structure, services, resources, and funding. AFCERT services level were below the standard of a national CSIRT. Therefore, a more sustainable service need to be provided based on the proposed model components. Findings showed the suitability and potential of the model in controlling and mitigating cyber-attacks, more specifically in the context of Afghanistan.
Damage Level Prediction of Pier using Neuro-Genetic Hybrid
Authors: Suryanita Reni , Mardiyono Mardiyono , Maizir Harnedi 
Published: March 2019

Generally, long span bridges have multiple columns as known as piers to support the stability of the bridge. The pier is the most vulnerable part of the deck against the earthquake load. The study aims to predict the performance of the pier on the bridge structure subject to earthquake loads using a Neuro-Genetic Hybrid. The mix design of the Back Propagation Neural Networks (BPNN) and Genetic Algorithm (GA) method obtained the optimum-weight factors to predict the damage level of a pier. The input of Neuro-Genetic hybrid consists of 17750 acceleration-data of bridge responses. The outputs are the bridge-damage levels based on FEMA 356. The categorize of a damage level was divided into four performance levels of the structure such as safe, immediate occupancy, life safety, and collapse prevention. Bridge responses and performances have resulted through analysis of Nonlinear Time History. The best of Mean Squared Error and Regression value for the Neuro-Genetic hybrids method are 0.0041 and 0.9496 respectively at 50000 epochs for the testing process. The Regression value denotes the predicted damage values more than 90% closer to the actual damage values. Thus, the damage level prediction of the pier in this study offers as an alternative to structural control and monitor of bridges.
The Behaviours of the Brick-Masonry Infilled RC Frame Structure under Reversed Cyclic Lateral Loading
Authors: Maidiawati Maidiawati , Sanada Yasushi , Tanjung Jafril 
Published: March 2019

The experimental study for investigating the seismic responses of the Reinforced Concrete (RC) frame specimens is presented in this paper. Regarding this experimental, two one-bay and scaled-down specimens have been prepared and tested, i.e., RC bare frame and RC frame with brick masonry infill. The masonry infilled RC frame specimen was the RC frame which was infilled by the extracted brick masonry wall from the survive RC building in Padang city due to September 2007 Sumatra earthquake. These both of specimens, obviously, represent the typical low-rise RC building in West Sumatra, Indonesia. These specimens were tested to the constant vertical load, and lateral static reversed cyclic loading in the structural testing facilities. The lateral loading was applied incrementally and controlled by the drift angle of the specimens. The drift angle is the ratio between the lateral displacement of the top of the column and the column height of the specimen. The applied incremental lateral load and displacements at several points on the specimens were measured and recorded during the testing. The observation of the major cracks and its propagation were also conducted to identify the failure mechanism of the RC frame specimens. Comparison of the testing results for both of the specimens suggests that the masonry brick infill contributed to significantly increase the dissipating energy capacity, lateral strength, and stiffness of overall RC frames. On the other hand, unfortunately, the ductility performance of the brick masonry infilled RC frame specimen was decreasing. The presence of brick masonry infill in the RC frame seems to control the failure mechanism of the RC frame, reduces the deformation capacity of the boundary column, and alters the lateral and axial deformations of boundary columns.
The Use of GIS and Hydrodynamic Model for Performance Evaluation of Flood Control Structure
Authors: Tunas I Gede , Maadji Rizaldi 
Published: March 2019

Flood disaster in Palu River has repeatedly occurred with varying discharge magnitudes, especially in the downstream segment near and around the estuary. The most recent flood occurred in July 2018 has inundated some areas of Palu City and resulted in a considerable impact on the socio-economic life of the community in the city of Palu. Actually, flood prevention efforts have been undertaken by the Palu City Government and River Basin Board of Sulawesi III, one of which is by constructing levee combined with revetment along more than 5 km measured from the estuary to the upstream reach. The levee is made of soil material, while the revetment is a structure to protect the levee made of concrete. These structures were built on both sides of the river banks. However, the flood disaster always happens almost every year in this area. This paper intends to evaluate the performance of the flood control structure using Geographic Information System and HEC-RAS hydrodynamic model. The use of these tools provides the ease and efficiency of flood simulation along the river being modeled. The analysis results show that the bank capacity of Palu River is currently only effective for flood discharge below 550 m3/s, where the river bank capacity at the beginning of the levee and revetment design is approximately 550 m3/s, equivalent to the 25 years return period of discharge. The river bank capacity decreases due to sediment deposition on the river bed which were originated from the upstream watershed. This decline in cross-section capacity is estimated to be the cause of the flood disaster in parts of Palu City.
The Potential Areas for Crop Development in Morotai Island Regency, Indonesia
Authors: Sudjud Suratman , Hadun Ramli 
Published: March 2019

The needs of food in Morotai Island Regency always increase over time, along with the increase in population. On the other hand, the available food potential is still low in productivity to meet the needs. Crop development in Morotai Island Regency, as an effort to fulfill local food needs, can still be done because the land resources potential is available and not optimally utilized. Agricultural land is the main resource for rural community development and food supply. The objectives of this research are: (1) To find out the potential of land resources and availability for crop development in Morotai Island Regency; (2) Identifying the advantages and prospects of crop development in Morotai Island Regency and (3) Preparing the recommendations for the development and management of land for crops in Morotai Island Regency. Data analysis consists of the needs and advantages of crops, farming feasibility, income, revenue, and land suitability. The results show that the suitable (S) land potential for the development of crops reaches 55,624.7 ha. Potentially suitable land for lowland rice, which classified as sufficiently suitable (S2), reaches 34,290.5 ha and marginally suitable (S3) land reaches 7,282.5 ha. Sufficiently suitable (S2) and marginally suitable (S3) lands for upland rice reach 25,040.3 ha and 28,932.8 ha respectively. As for corn cultivation, sufficiently suitable (S2) land reaches 25,040.3 ha and marginally suitable (S3) lands reaches 28,932.8 ha. Development of food crops as a result of analysis of harvested LQ shows that base food crops in South Morotai District are wetland rice (1.06), corn (1.02). East Morotai sub-district is based on the development of wetland rice (1.14) and upland rice (1.02). Morotai Selatan Barat Subdistrict is the base for the development of lowland rice (1.42). North Morotai District is the base for the development of upland rice (1,15). While Morotai Jaya is the base for developing upland rice (1.49), corn (1.53). Leading crop/s in South Morotai District are lowland rice and corn; Southwest Morotai is lowland rice; East Morotai are lowland rice and upland rice; North Morotai is upland rice; and Morotai Jaya are upland rice and corn.
Application of Embryo Transfer Technology to Improve Fertility Using GnRH Plus Progesterone and Estradiol Combination (FTAI) of Local South Pesisir Cow in West Sumatra
Authors: Udin Zaituni , Hendri - , Masrizal Masrizal 
Published: March 2019

The objective of this research was to evaluate the effect of FTAI on embryo production that used GnRH plus progesterone combination to synchronize ovulation of 3 different parity of donor from local pesisir cows in west Sumatra. This study used timed embryo transfer program using GnRH plus progesterone combination in 3 local pesisir cows and 2 cows in time embryo program using estradiol plus progesterone of donor. Ovarian ultrasonography was performed on d 0 (time of AI) and at flushing to determine ovulatory diameter and ovulation. On d 0 at the time CIDR implant + PGF2Î± injection and on d 7 started ovsynch protocol administrated by injection GnRH and FSH for FTAI without detection estrus. The number and the quality of embryo was evaluated to determine the fertility of pesisir selatan cows. The result showed that the expression of estrus cows tend to high ovulation rate. The diameter size of a follicle was range from 5 to 15 mm with 10.67±2.96 mm in GnRH plus progesterone and 5 to 14 mm with mean was 8.75±2.05 mm in estradiol plus progesterone (P<0.005). The number of follicle ovulation was 27 in treatment A and 18 in treatment B (P<0.05). The number of CL and embryos was higher in treatment A. CL was 19, with 18 embryos and in treatment B was 9 with 6 embryos. The quality of embryo range from 1-4 grade with the transferable embryos was higher in treatment A than treatment B (P<0.05). There was the linear regression between ovular follicle, CL and number of embryos recovery of local pesisir cows. It was concluded that equal numbers of embryos and transferable embryo by using GnRH plus progesterone combination of local pesisir cows.
Identification of Pig Adulterant in Mixture of Fat Samples and Selected Foods based on FTIR-PCA Wavelength Biomarker Profile
Authors: Saputra Irwan , Jaswir Irwandi , Akmeliawati Rini 
Published: March 2019

Authenticity is an important issue in food industry. Tampering the authenticity of food product involves the adulteration of products with certain material. Various authentication techniques for detection of adulteration have been developed in line with the advent of current technology. Of particular interest, Infrared (IR) spectroscopy; a rapid and non-destructive technique allowing the screening of a large number of samples has been shown to be able to detect pig derivatives in meat products. Following this, the present study aims to identify pig adulteration in different mixture of fat samples and some selected food; based on wavelength biomarker obtained from FTIR coupled with PCA analysis. Twenty-six fats at two frequencies along the graph (1236 and 3007 nm) were studied including samples representing Non Halal Food A (NHFA) fat, Halal Food A(HFA) fat and Non Halal Food B (NHFB) fat. At wavelength 1236 and 3007 nm along the spectrum; NHFA, HA and NHFB fat samples were easily identified at visibly good distance compared to other fat samples. The first two samples; NHFA and NHFB were located very close to PF (Pig Fat) indicating that NHFA and NHFB samples contained pork fat while HA was located closer to CF, indicating that the sample possibly contained chicken fat. To this end, FTIR coupled with PCA has been shown to be a powerful tool to detect adulteration in meat products and as such can be recommended for authentication purposes.