bluuebunny/crossref_metadata_2025_split huggingface dataset:
The impact of landuse and the relationship between NDVI on the bird species richness in Sukmajaya District, Depok
Authors: Debataraja I B , Pradana D H , Winarni N L 
Published: October 2021

Abstract
A high human population increase will affect the landuse change, and as a result, there will be a conversion of green areas into residential and industrial lands. The natural habitat of wildlife such as avifauna will be highly fragmented and even lost. This research was conducted in Sukmajaya District, which was the most densely populated sub-district in Depok City. Normalized Differences Vegetation Index (NDVI) can show the vegetation map of an area. Sukmajaya sub-district is dominated by residential areas, about 62.1 % of the total area of this sub-district is residential area and leaving only 21.2 % of the vegetated land fragmented by buildings as habitat for wildlife. Therefore, it is necessary to conduct research on how different landuse types affect avifauna species richness which is important as input for stakeholders in avifauna conservation efforts. The research was conducted by using point count method in a total of 37 observation points divided into residential areas, industrial areas, and vegetated lands. The results of this study indicated that the correlation between landuse and avifauna species richness can be explained by the characteristics of the landuse habitat. Using linear regression, all habitat characters, such as NDVI, total individual vegetation, number of vegetation types, canopy cover, human activity disturbance, and temperature can simultaneously predict the value of the Margalef species richness index. The number of vegetation types and canopy cover are the characters that most influence the avifauna species richness in this study.
Geocomputation of Monte Carlo Simulation for hydrocarbon reserves estimation, case study offshore Kalimantan, Indonesia
Authors: Sagoro R A , Supriyanto  , Haryono  
Published: October 2021

Abstract
Uncertainty in geological and geophysical data affects the estimation of hydrocarbon reserves. To reduce the uncertainty, risk analysis can be performed, one of which by using Monte Carlo simulation. The purpose of this study is to estimate the volumetric reserves of petroleum using the Monte Carlo simulation. This research was conducted in the case of offshore in Kalimantan, Indonesia. There are two stages in this study, first analysing the reservoir zones to obtain rock property values used for estimation of reserves, second is calculating the probabilities by simulating random values based on their distribution and estimating hydrocarbon reserves based on these probability calculations. In addition, both stages need to be carried out as a basis for making effective decisions on the drill prospects.
The application of remote sensing technology for environmental quality analysis of settlement in Bengkulu
Authors: Legowo D A , Susiloningtyas D , Supriatna  
Published: October 2021

Abstract
Environmental quality research was conducted in Bengkulu City which aims to determine the quality of the residential environment. the method used in this study is a combination of high-resolution image interpretation techniques (Google Earth) assisted by geographic information system technology (GIS). high-resolution images are used to identify objects that function as parameters. Then these parameters are given a rating or scoring to obtain an analysis of the environmental conditions of the settlement, by giving weights we can determine the level of ability based on the level of these parameters. The parameters used in this study were settlement density, settlement layout, and settlement location. Based on the study results, the quality of settlements in Bengkulu City is dominated by good category, especially in Muara Bangkahalu and Selebar subdistrict, these two subdistricts still have a lot of non-developed lands and are close to transportation access in the form of bus terminals and airports so it will attract people to live there. For suggestion, good planning is really needed to build a settlement, thus the settlements and environment quality can also be well preserved.
Indonesia paleotsunami database: Concept and design
Authors: Ibtihaj I , Septyandy M R , Supriyanto S 
Published: October 2021

Abstract
Indonesia’s tectonic conditions are one of the regions in the world with the most active tectonic activity. As a result of these conditions, Indonesia is prone to earthquakes, tsunamis, and volcanic eruptions. Tsunamis are the most violent movements of ocean waves. The mechanism for tsunamis formation is through processes that generate shock waves, such as underwater earthquakes, underwater landslides, volcanic activity, and asteroid impacts. Indonesia has experienced a series of tsunami events that have caused thousands of casualties. Tsunami events are not fully recorded in human historical records. Unrecorded tsunami or paleotsunami events can be studied through the characteristics of paleotsunami deposits or related archaeological information about tsunamis. Knowing the history of tsunami events is essential to understand tsunamis frequency and intensity in the present. This study aims to conceptualize and design a historical database of tsunami occurrences in Indonesia. The database will be based on WebGIS. Tsunami event data is sourced from literature related to tsunami events, such as published books, journals, reports, final projects, and others. The results of database processing are 326 data on tsunami events in Indonesia. The WebGIS is an update for tsunami information media in Indonesia to be more comprehensive and informative.
The validation of water quality parameter algorithm using Landsat 8 and Sentinel-2 image in Palabuhanratu Bay
Authors: Mukhtar M K , Supriatna  , Manessa M D M 
Published: October 2021

AbstractRemote sensing and geographic information systems can be applied to extract coastal and marine parameters related to the identification of possible data types, approaches and algorithms as a quick solution in water quality assessment. The purpose of this research are to find the suitable algorithms of salinity and total suspended solid for Palabuhanratu Bay and see the performance of Sentinel-2 satellite image in implementing algorithms based on Landsat satellite image. This study applies several algorithms to extract the estimated salinity and total solid suspended values from the Landsat 8 and Sentinel-2 satellite image using Google Earth Engine. The results of the analysis show algorithms that are suitable for implementation in the waters of Palabuhanratu Bay are the Cilamaya algorithm for estimating salinity values, and the Budhiman algorithm for estimating the total suspended solid value. Sentinel-2 satellite image has a good performance for implementing algorithms that built on Landsat image. So, the algorithm that build on Landsat image can be used to detect salinity and TSS in Sentinel-2 image.
Vegetative conservation of landslide prone areas in the Cidadap Watershed Area, Sukabumi Regency
Authors: Suci M I , Supriatna S , Rustanto A 
Published: October 2021

Abstract
The sub-district of Cidadap has a high level of vulnerability to landslides, with a characteristic slope of more than 25 % and is overgrown with vegetation. This study aims to identify the effect of changes in land use with vegetative conservation methods that have been carried out in landslide-prone areas in Cidadap watershed. The method used in this research is the Storie Index method. Temporal analysis was carried out on changes in land cover in 1999 and 2019, while spatial analysis was carried out on landslide-prone areas, as well as soil conservation that had been carried out. In this study, there are five variables, namely rainfall, land cover, slope, soil type, and location of landslides. Conservation identification is carried out by overlaying between vegetative conservation and the distribution of landslide-prone areas in the study area. The results of this study indicate that in 1999–2019, land use in the form of settlements and moor/fields has increased. Whereas for the land use class, the types of water bodies, forests, gardens, rice fields, shrubs and empty land decreased. In 1999–2019, Cidadap watershed was dominated by a moderate landslide hazard level with an area of 10,080.49 Ha or 84.92 % of the area of the Cidadap watershed. The conservation that has been carried out in Cidadap watershed uses several combinations of vegetative conservation techniques, namely crop rotation, crop and agroforestry, and agroforestry rotation.
Integrated analysis of inversion acoustic impedance method and spectral decomposition method for sandstone identification, case study Kutai Basin, Eastern Kalimantan
Authors: Adli I S , Riyanto A , Haryono  
Published: October 2021

Abstract
Seismic reflection is a method commonly used to map hydrocarbons. The reservoir can be characterized using the inversion method by converting the seismic data into acoustic impedance values of rock and spectral decomposition methods are used to delineate low-frequency shadow beneath reservoir caused by the presence of hydrocarbon. The combination of these two methods is used to distribute the hydrocarbon reservoir in the target zone. The inversion used in this research is a model-based inversion, while the spectral decomposition method used is continuous wavelet transform. The result of this study shows that reservoir distribution with low acoustic impedance located at inline 1583, inline 1290, inline 1360, inline 1399. Three of four inline show by spectral decomposition result delineating low-frequency shadow at inline 1290, inline 1360 dan inline 1399, while inline 1583 produces high-frequency anomaly. This phenomenon could occur due to the effect of reservoir thickness that is less than 1/4λ. The reservoir has an acoustic impedance value of 18000–19000 ft.g/s.cc and low-frequency shadow beneath reservoir has 20 Hz frequency indicating the presence of hydrocarbon, while inline 1583 shows high-frequency anomaly 60 Hz this phenomenon shows that the reservoir thickness is thin or less than 1/4λ and indicates of containing gas fluid.
The Separation of Oily Water Mixture Using Membrane
Authors: Chik N S I , Shaari N Z K , Shamsudin S A 
Published: October 2021

AbstractThe increment of oil discharge in the water system gives a great impact to the environments. Membrane separation has been widely used to treat the oily water mixture due to its environmentally process, low operating cost and has better efficiency. Polysulfone (PSF) is widely used in the membrane fabrication due to its good physico-chemical, mechanical and hydraulic stability, but its hydrophobicity limits its application in the separation of oily mixture due to the fouling. The blend of PSF with poly (vinyl alcohol) (PVA) could compensate this limitation where the covalent bonding between PSF/PVA could form a protective layer to prevent the deposition of organic foulants on the membrane surface. Furthermore, PVA has been studied intensively for membrane applications because of its good chemical stability, film-forming ability and high hydrophilicity. To ensure the compatibility and high stability of the resultant membrane, the cross linking of the polymer blend (PSF/PVA) with tetraethylorthosilicate as silica nano precursor through sol-gel reaction was conducted in this study. Polyethylene glycol 400 was added as an additive to improve the properties of the integral membrane. The concentration of tetraethylorthosilicate was varied at 0wt.%, 0.5wt.%, and 1wt.% while the concentrations of other polymers are remained constant. Performance testing on the fabricated membrane through pure water flux and rejection of oil particles were conducted. The results exhibited that higher concentration of tetraethylorthosilicate led to higher water flux and higher rejection of oil particles respectively for the fabricated membrane. The crosslinked membranes achieved l00% of oil rejection after 45 minutes filtration time, meanwhile membrane from pure polymer blend only achieved 60.2% of oil rejection. This finding shows the potential of the fabricated membrane to be further explored in the area of oily water mixture treatment process.
Mechanical properties of bio-epoxy resins and synthetic epoxy resins blends
Authors: Derahman A , Abidin Z Z 
Published: October 2021

Abstract
This paper studies the mechanical properties of bio-epoxy resins blended with synthetic epoxy resins (epoxamite). The bio-epoxy resins were derived from Jatropha methyl esters through epoxidation method. They were formulated with epoxamite and hardener at different compositions and then cured at different temperature and time settings. The cured blends were subjected to tensile and flexural tests using Instron machine. Tensile and flexural strength of the mixtures were compared with the 100% epoxamite in order to evaluate the suitability of bio-epoxy resins as an alternative to synthetic epoxy resins with respect to mechanical properties. Tensile strength of 100% epoxamite is 38.32 MPa and flexural strength is 63.32 MPa. The mixtures of bio-resins and epoxamite demonstrated very low mechanical strengths compared to the 100% epoxamite. Therefore, they are not suitable to be used as an alternative to synthetic epoxy resins in industrial applications. However, they may find other usage due to high reactivity of the bio-epoxy resins.
Toxicity Study of Ananas Comosus and Centella Asiatica as Active Ingredients in Anti-inflammatory Lotion
Authors: Rahman N S A , Saadon N , Tap F M , Yusof N A 
Published: October 2021

Abstract
Inflammation, a common disease faced by people, could lead to chronic inflammatory diseases, and worst, cancer. As a result, many inflammatory patients use nonsteroidal anti-inflammatory drugs (NSAIDs) as to relieve their inflammation, which are available in the market. However, these medicines do not cure the disease but relieve it temporarily, and the patients are exposed to their dangerous long-term effects. Since Malaysia is rich with fruits and herbs that are rich in therapeutic properties, more natural remedies from the local fruits and herbs should be discovered. Based on the previous research done, the combination of Ananas comosus and Centella asiatica could have the potential in relieving inflammation. Therefore, this preliminary research was aimed in determining the toxicity in combining the two main active ingredients using in vitro MTT assay against HaCat Cell lines. The findings proved that at the highest concentration (10000 μg/ml), no cytotoxic effect has been recorded. The findings from this research would encourage more natural remedies to be offered to the inflammation patients, who eventually could avoid themselves from depending solely on the harmful medicines.
Study on the Comfort of 3 Local Hijab Sport Brand on Muslim Woman during Physical Activities
Authors: Baharudin A , Hafidz A H A , Roslan N M , Zahir I N , Norjeferi N A , Musa A , Ahmad M R 
Published: October 2021

Abstract
This study goals are to identify the most comfortable sport hijab from 3 local brands. The selection of the sport hijab from the brand are identify through a preliminary survey distributed to 90 students from Faculty of Sport Science UiTM Negeri Sembilan. From the survey, types of sport hijab and the length of sport hijab are identified. The purchased sport hijab is then gone through the fabric identification and testing included weighing, burning test and water impact penetration test. The fabric for the sport hijab labelled as Sample A is Nylon, Sample B as Polyester and Sample C as Acrylic. Among this, it is found that Sample B gives the best comfort according to all 3 selected respondent who wear the sport hijab in the physical test activities. The physical test activities are done by the 3 participants running on a treadmill for 20 minutes at 7.5km/h with warming up and warming down at 2.5km/h for 2 minutes. The results obtained from the comfort evaluation were then analyzed using Analysis of Variance (ANOVA).
Effects of Waste Glass Powder Filler on Intumescent Coating for Steel Structures Application
Authors: Azmi Y M , Ahmad F , Razak S N , Hadi M A H A , Kabir S , Yeoh G H 
Published: October 2021

Abstract
Intumescent coating is a passive fire protection system used to prevent and resist the spreading of fire. The coating swells several times of its thickness on exposure to the fire, forming cellular foam and acts as an insulative barrier, thus delaying the heat transfer to the protected substrate. The study aims to analyse waste glass powder filler’s effect into intumescent coating formulation limited to one size of waste glass powder. Waste glass is a broken form of leftover by-product from industrial and domestic. Millions of tons of waste glass generated every year, adding with their non-biodegradable nature causing additional environmental pollution. Waste glass powder contains high silica composition known for its high thermal stability, weather resistance, hydrophobicity, low surface tension, and high oxidation resistance. The coating showed improved thermal stability, weather resistance, and adhesion when added into intumescent coating formulation. The lowest recorded backside substrate temperature 154.6 °C compare to coating without the waste glass filler, 333.7 C. The coating also showed less than 0.1% total weight loss for samples with 4% wt. filler after immersion in seawater for 15 days compared to the control formulation, 0.19%. The char morphology analysis showed the emergence of silica and calcium elements occupying the expandable char’s gaps, thus strengthening the char structure.
An artificial neural network model for forecasting air pollution
Authors: Manan W D W A , Abdullah N R 
Published: October 2021

Abstract
Air pollution has caused a lot of problems to people in terms of health and economy, as well as affecting various floras and faunas. Thus, monitoring air quality levels and forecasting the occurrence of air pollution is important so that preventive measures could be taken. In this study, Artificial Neural Network (ANN) was used to forecast the air pollution index (API) in Kuala Terengganu. This study focused on the prediction of API based on 5 years of data of main pollutants’ daily concentration taken at the air quality monitoring station in Kuala Terengganu. The aim was to develop an Artificial Neural Network model that can predict the API. A Multilayer Perceptron Neural Network (MLP) engine was implemented in the system prototype and developed by using Keras, a deep learning library in Python. The model’s performance was evaluated using the Mean Squared Error (MSE) statistical method and functionality tests were done to ensure the prototype was working correctly. In order to get a good performance model, a hyperparameter tuning process was carried out and the best hyperparameters values were selected. The performance of the model in making predictions was good as the MSE value was 0.0195.
A study of multiple reward function performances for vehicle collision avoidance systems applying the DQN algorithm in reinforcement learning
Authors: Zakaria N J , Shapiai M I , Wahid N 
Published: October 2021

Abstract
Reinforcement Learning (RL) is an area of Machine Learning (ML) that intends to improve the acts of agents learning from environmental interconnection. The significant concern in RL is to achieve the promising potential of the training process in the model. However, network convergence speed is often sluggish in RL and converges quickly to local optimal solutions. Reward function has been used to deal with these problems as a useful tool to speed up the agent’s learning speed. Even though RL convergence properties have been comprehensively explored, there are no specific rules for choosing the reward function. Therefore, searching for efficient potential reward function is still an exciting field of study. This paper discusses the reward function, execute some analysis, and provides the learning agent with the extracted information to increase the speed of learning for collision avoidance task. We provide an experimental study for selecting one reward function in a simulated collision-avoidance environment of an autonomous vehicle by applying the DQN algorithm. It has been conducted on online environments, which is using the CARLA simulator. This experimental study consists of three cases with a various exploration of reward values. Case 1 consists of the range of the penalty value larger than the reward function by 200 times. Case 2 is similar, but with the small range number of the penalty is applied, case 3, which is the reward function and penalty value, is in the same range value. The result shows that case 3 performances outperform case 1 and case 2 with 94% average accuracy; meanwhile, case 1 obtains 70%, and case 2 achieves 85% accuracy. It is may due to the monumental size of the collision penalty in comparison to all else. Hence, the findings obtained show the efficacy of the exploration of the reward function.
Predicting vehicle parking space availability using multilayer perceptron neural network
Authors: Ismail M H , Razak T R , Gining R A J M , Fauzi S S M , Abdul-Aziz A 
Published: October 2021

Abstract
In this study, we have investigated potential use of Multilayer Perceptron (MLP) to predict parking space availability for use within Field Programmable Gate Array (FPGA) accelerated embedded devices. While previous studies have explored the use of MLP for classification problem in FPGA, very little studies concentrated on the potential use of MLP in regression problem, especially in parking space forecasting. Therefore we formulated five Multi-Layer Perceptron (MLP) models with varying hidden units to perform single-step prediction to forecast parking space availability within the next 15 minutes based on the previous one-hour parking occupancy. The proposed models were trained on the historical data of Kuala Lumpur Convention Center dataset and evaluated against baseline ARIMA models. The results have shown that our proposed MLP model performed relatively well against baseline model with the root mean square error between (RMSE) 78.25 to 78.41 and mean absolute error (MAE) between 37.02 to 39.17.
Technology acceptance model (TAM) for analysing cloud computing acceptance in higher education institution (HEI)
Authors: Amron M T , Noh N H M 
Published: October 2021

Abstract
Cloud computing is a fast-growing and up-and-coming technology. Cloud computing allows educational users a more flexible, accessible, and wide range of education resources. In this study, the technology acceptance model (TAM) was used as the foundation to explore the effects of perceived usefulness, perceived ease of use with two proposed additional variable: security and learning environment towards using cloud computing. The questionnaire was distributed using convenient sampling and a total of 664 higher education institution members consisting of lecturers, students and staffs participated in this research. The response was analysed using the Partial Least Squares Structural Equation modeling (PLS-SEM), which provides evidence of the reliability and validity of the Technology Acceptance Model (TAM) in this study. The result shows that perceived ease of use and perceived usefulness positively and significantly influence the intention to use cloud computing. It is also seen that security and learning environment also have a positive and significant impact on the intention to use cloud computing.