Communications in Science and Technology
Communication in Science and Technology [p-ISSN 2502-9258 | e-ISSN 2502-9266] is an international open access journal devoted to various disciplines including social science, natural science, medicine, technology and engineering. CST publishes research articles, reviews and letters in all areas of aforementioned disciplines. The journal aims to provide comprehensive source of information on recent developments in the field. The emphasis will be on publishing quality articles rapidly and making them freely available to researchers worldwide. All articles will be indexed by Google Scholar, DOAJ, PubMed, Google Metric, Ebsco and also to be indexed by Scopus and Thomson Reuters in the near future therefore providing the maximum exposure to the articles. The journal will be important reading for scientists and researchers who wish to keep up with the latest developments in the field.
Articles
209 Documents
<![CDATA[Trends and hot topics in green open space and ecological wisdom research ]]>
<![CDATA[Manningtyas, Rosyi Damayanti Twinsari]]>;
<![CDATA[Furuya, Katsunori]]>
<![CDATA[ Communications in Science and Technology Vol 5 No 2 (2020) ]]>
Publisher : <![CDATA[Komunitas Ilmuwan dan Profesional Muslim Indonesia ]]>
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DOI: 10.21924/cst.5.2.2020.203
<![CDATA[Studies on green open space and ecological wisdom have developed over time and are linked to various subjects and impacts. However, both research subjects have developed somewhat independently despite their approaches often achieving a sustainable landscape. This paper proposed a bibliometric analysis of green open space and ecological wisdom research to identify the trends and hot topics on both aspects, then determine a potential topic for future research relating to both subject areas. We collected English research papers from the last decades from the Scopus database using appropriate keywords and analyzed the metadata using VOSviewer program. Then, the text data were extracted from the title and abstract of the document collections using VOSviewer built-in text mining function. The hot topic term was analyzed by calculating the score of the average citation based on their occurrences. Finally, potential research in green open space and ecological wisdom field was determined by overlaying the findings and catching the slice. A total of 283 document collections were analyzed and 75 most relevant terms were found. All the terms were divided into four clusters as a research field: urban green space cluster, environmental quality cluster, sustainable planning cluster, and landscape development cluster. Further, the hot topic analysis found ten keywords that had a high citation impact in document collection and mostly came from a sustainable planning cluster. After overlaying the findings, six terms emerged that have a high potential for future research because of their high citation impact for science.]]>
<![CDATA[The crystal packing and slip plane analysis in mechanical properties improvement of mefenamic acid by cocrystallization with nicotinamide coformer ]]>
<![CDATA[Ari Wahyudi]]>;
<![CDATA[Utami, Dwi]]>;
<![CDATA[Setianto , Arif Budi]]>
<![CDATA[ Communications in Science and Technology Vol 5 No 2 (2020) ]]>
Publisher : <![CDATA[Komunitas Ilmuwan dan Profesional Muslim Indonesia ]]>
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DOI: 10.21924/cst.5.2.2020.213
<![CDATA[Mefenamic acid is an analgesic non-steroidal anti-inflammatory drug (NSAID) that is categorized as Biopharmaceutical Classification System (BCS) class II drug. Cocrystallization of mefenamic acid (MFA) with nicotinamide (NIC) has been reported to enhance the solubility of MFA for about 2.56 times higher than pure MFA. As a part of MFA-NIC development in pharmaceutical dosage form, we reported the improvement of mechanical properties of MFA-NIC cocrystal based on the presence of slip planes in crystal structure. The research was initially by synthesizing and characterizing the cocrystal by using X-ray diffraction analysis, and was followed by the investigation of the mechanical properties of MFA and its cocrystal, i.e. tensile strength and deformation parameter. The correlation of crystal structure with mechanical properties was determined by crystal packing motif and slip plane analysis from single crystal data by using Mercury 3.6. The tensile strength of MFA was acceptance at 20.0 MPa, and dropped at more than 25.0 MPa. A better tableting performance was observed in MFA-NIC cocrystal which had the tensile strength 1.5 times higher than MFA at 12.5 MPa and gradually increased with an increasing pressure up to 2.5 times at 22.5 MPa. The flat slip plane of MFA-NIC cocrystal was predicted as the key factor in the improvement of its mechanical properties, compared to zigzag slip plane of MFA. In conclusion, MFA-NIC cocrystal had the better mechanical properties than pure MFA due to its flat slip plane and it becomes potential to be explored in further development of solid dosage form.]]>
<![CDATA[Improving multi-class EEG-motor imagery classification using two-stage detection on one-versus-one approach ]]>
<![CDATA[Wijaya, Adi]]>;
<![CDATA[Adji, Teguh Bharata]]>;
<![CDATA[Setiawan, Noor Akhmad]]>
<![CDATA[ Communications in Science and Technology Vol 5 No 2 (2020) ]]>
Publisher : <![CDATA[Komunitas Ilmuwan dan Profesional Muslim Indonesia ]]>
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DOI: 10.21924/cst.5.2.2020.216
<![CDATA[The multi-class motor imagery based on Electroencephalogram (EEG) signals in Brain-Computer Interface (BCI) systems still face challenges, such as inconsistent accuracy and low classification performance due to inter-subject dependent. Therefore, this study aims to improve multi-class EEG-motor imagery using two-stage detection and voting scheme on one-versus-one approach. The EEG signal used to carry out this research was extracted through a statistical measure of narrow window sliding. Furthermore, inter and cross-subject schemes were investigated on BCI competition IV-Dataset 2a to evaluate the effectiveness of the proposed method. The experimental results showed that the proposed method produced enhanced inter and cross-subject kappa coefficient values of 0.78 and 0.68, respectively, with a low standard deviation of 0.1 for both schemes. These results further indicated that the proposed method has an ability to address inter-subject dependent for promising and reliable BCI systems.]]>
<![CDATA[Production of silver nanoparticles via green method using banana raja peel extract as a reducing agent ]]>
<![CDATA[Chafidz, Achmad]]>;
<![CDATA[Afandi, Amira Rahmani]]>;
<![CDATA[Rosa, Bunga Mela]]>;
<![CDATA[Suhartono, Jono]]>;
<![CDATA[Hidayat, Pratikno]]>;
<![CDATA[Junaedi, Harri]]>
<![CDATA[ Communications in Science and Technology Vol 5 No 2 (2020) ]]>
Publisher : <![CDATA[Komunitas Ilmuwan dan Profesional Muslim Indonesia ]]>
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DOI: 10.21924/cst.5.2.2020.223
<![CDATA[In this study, biosynthesis of silver nanoparticles using the extract of a local banana peel (variant name: Raja) as bio-reductor was carried out. This study aimed to determine the effect of two different ratios of Banana Peel Extract (BPE)/distilled water on the synthesis of silver nanoparticles. The two of BPE/water ratios were 1% (v/v) and 5%(v/v), named as Sample A and Sample B, respectively. Whereas, the concentrations of AgNO3 solution as the precursor were varied as follows: 0.125; 0.1; 0.075; and 0.05 M. The synthesized colloidal silver nanoparticles were characterized using a UV-Vis spectrometer, while the BPE solution was analyzed using Fourier Transform Infra-Red (FT-IR) to study its functional groups. While, the solid silver nanoparticles was characterized using a Scanning Electron Microscopy (SEM) with an Energy-dispersive X-ray spectroscopy (EDX) analysis. The UV-Vis spectrometer results qualitatively showed that sample A produced better silver nanoparticles than that of sample B. All samples showed absorbance peaks at wavelength of 450 nm. It was found that the highest absorbance value (i.e. 1.59) occurred at sample A with a concentration of AgNO3 solution 0.1 M. Additionally, FT-IR analysis result showed the presence of a hydroxyl group specifically for alcohols as phenols, which indicated the possibility of polyphenol compounds. The SEM micrograph showed that some of the silver nanoparticles were in the shape of tetrahedron or triangular like particle and spherical The SEM image analysis results using ImageJ software showed that most of the silver nanoparticles produced had the size of 100-300 nm. Furthermore, the EDX analysis result showed a peak count at 3 keV, which confirmed the formation of silver nanoparticles.]]>
<![CDATA[Fractional weighted ZF equalizer: A novel approach for channel equalization in MIMO-OFDM system under impulse noise environment ]]>
<![CDATA[Girija, S. P.]]>;
<![CDATA[Rao, Rameshwar]]>
<![CDATA[ Communications in Science and Technology Vol 6 No 1 (2021) ]]>
Publisher : <![CDATA[Komunitas Ilmuwan dan Profesional Muslim Indonesia ]]>
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DOI: 10.21924/cst.6.1.2021.224
<![CDATA[Impulse noise is the major factor degrading the performance of the wireless system, imposing the need for the impulse noise mitigation strategy. Mainly, in the multiple-input multiple-output (MIMO) and orthogonal frequency-division multiplexing (OFDM) system contaminated with the impulse noise creates a major impact in the performance as the conventional zero-forcing (ZF) equalizer as there is no satisfactory results. Thus, the paper concentrates on the impulse noise mitigation strategy based on the fractional weighed zero-forcing (FWZF) equalizer, which is the integration of the fractional concept in the Zero-Forcing equalizer. The noise impacts in the MIMO-OFDM system are minimized and the performance is enhanced due to the usage of the fractional theory in the ZF equalizer as the equalization values of the previous instances are interpreted for the formulation of the effective equalization value in the current instance of the ZF equalizer. The performance of the methods is done based on the valuation metrics, Bit Error Rate (BER), Mean Square Error (MSE), and Symbol Error Rate (SER) with respect to the Signal-to-Noise Ratio (SNR) and dissimilar antenna array size. It is found that the proposed Fractional Weighed Zero-Forcing equalizer outperformed the existing methods with a minimal BER and SER of 0.063, and 0.1038 while analyzing the methods in the Rayleigh environment.]]>
<![CDATA[Potential of lacto-N-biose I as a prebiotic for infant health: A review ]]>
<![CDATA[Kiyat, Warsono El]]>;
<![CDATA[Astuti, Santi Dwi]]>;
<![CDATA[Budijanto, Slamet]]>;
<![CDATA[Syamsir, Elvira]]>
<![CDATA[ Communications in Science and Technology Vol 6 No 1 (2021) ]]>
Publisher : <![CDATA[Komunitas Ilmuwan dan Profesional Muslim Indonesia ]]>
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DOI: 10.21924/cst.6.1.2021.277
<![CDATA[Prebiotic is one alternative in the prevention of disease in infants. Generally, it is available as oligosaccharide which may occur naturally, but can also be added as a dietary supplement for food, beverage or formula. Lacto-N-biose I (LNB), a kind of prebiotic has not been widely examined in regard to its activities as a bifidogenic factor. Naturally, it is available in a compound form in human milk oligosaccharide (HMO) as the main constituent of human milk rather than fat and protein. HMOs also have prebiotic activity in the body and play an important role in providing nutrition for the infant health. LNB is potential to be used in food ingredient, especially infant food formula regarding the prebiotic effect and it could be enzymatically synthesized using enzymes involved in the LNB biosynthesis pathway by microorganisms.]]>
<![CDATA[Removal of Cr(VI) from aqueous solution by biochar derived from rice husk ]]>
<![CDATA[Mohadi, Risfidian]]>;
<![CDATA[Palapa, Neza Rahayu]]>;
<![CDATA[Taher, Tarmizi]]>;
<![CDATA[Siregar, Patimah Mega Syah Bahar Nur]]>;
<![CDATA[Normah]]>;
<![CDATA[Juleanti, Novie]]>;
<![CDATA[Wijaya, Alfan]]>;
<![CDATA[Lesbani, Aldes]]>
<![CDATA[ Communications in Science and Technology Vol 6 No 1 (2021) ]]>
Publisher : <![CDATA[Komunitas Ilmuwan dan Profesional Muslim Indonesia ]]>
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DOI: 10.21924/cst.6.1.2021.293
<![CDATA[In this work, biochar produced from Indonesian rice husks. Then used as adsorbent of Cr(VI) in aqueous solution. The XRD pattern of biochar showed the characterization pattern at 23º (002) reflection, appearance of silicate oxide, and the carbon vibrations. The surface area and SEM morphologies confirmed that after pyrolysis treatment the surface of rice husk has changed. The surface area of biochar increased after thermal treatment. The adsorption study of Cr(VI) by biochar demonstrate 2nd-order reaction, and Langmuir isotherm models. The maximum adsorption capacity of biochar derived rice husk to adsorb Cr(VI) is 161.290 mg/g, and biochar showed the good potential as reuseable adsorbent to remove heavy metal in aqueous solution.]]>
<![CDATA[Benthic habitat classification using multiscale GEOBIA on orthophoto images of Karimunjawa waters ]]>
<![CDATA[Dwikarsa, Yahya]]>;
<![CDATA[Basith, Abdul]]>
<![CDATA[ Communications in Science and Technology Vol 6 No 1 (2021) ]]>
Publisher : <![CDATA[Komunitas Ilmuwan dan Profesional Muslim Indonesia ]]>
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DOI: 10.21924/cst.6.1.2021.332
<![CDATA[The scale value is an important part of the segmentation stage which is part of Object-Based Image Analysis (OBIA). Selection of scale value can determine the size of the object which affects the results of classification accuracy. In addition to setting the scale value (multiscale), selection of machine learning algorithm applied to classify shallow water benthic habitat objects can also determine the success of the classification. Combination of setting scale values and classification algorithms are aimed to get optimal results by examining classification accuracies. This study uses orthophoto images processed from Unmanned Aerial Vehicle (UAV) mission intended to capture benthic habitat in Karimunjawa waters. The classification algorithms used are Support Vector Machine (SVM), Bayes, and K-Nearest Neighbors (KNN). The results of the classification of combination are then tested for accuracy based on the sample and Training Test Area (TTA) masks. The result shows that SVM algorithm with scale of 300 produces the best level of accuracy. While the lowest accuracy is achieved by using SVM algorithm with scale of 100. The result shows that the optimal scale settings in segmenting objects sequentially are 300, 200, and 100]]>
<![CDATA[Al-Quran recitation verification for memorization test using Siamese LSTM network ]]>
<![CDATA[Rajagede, Rian Adam]]>;
<![CDATA[Hastuti, Rochana Prih]]>
<![CDATA[ Communications in Science and Technology Vol 6 No 1 (2021) ]]>
Publisher : <![CDATA[Komunitas Ilmuwan dan Profesional Muslim Indonesia ]]>
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DOI: 10.21924/cst.6.1.2021.344
<![CDATA[In the process of verifying Al-Quran memorization, a person is usually asked to recite a verse without looking at the text. This process is generally done together with a partner to verify the reading. This paper proposes a model using Siamese LSTM Network to help users check their Al-Quran memorization alone. Siamese LSTM network will verify the recitation by matching the input with existing data for a read verse. This study evaluates two Siamese LSTM architectures, the Manhattan LSTM and the Siamese-Classifier. The Manhattan LSTM outputs a single numerical value that represents the similarity, while the Siamese-Classifier uses a binary classification approach. In this study, we compare Mel-Frequency Cepstral Coefficient (MFCC), Mel-Frequency Spectral Coefficient (MFSC), and delta features against model performance. We use the public dataset from Every Ayah website and provide the usage information for future comparison. Our best model, using MFCC with delta and Manhattan LSTM, produces an F1-score of 77.35%]]>
<![CDATA[A review on smartphone usage data for user identification and user profiling ]]>
<![CDATA[Auliya, Syafira]]>;
<![CDATA[Nugroho, Lukito Edi]]>;
<![CDATA[Setiawan, Noor Akhmad]]>
<![CDATA[ Communications in Science and Technology Vol 6 No 1 (2021) ]]>
Publisher : <![CDATA[Komunitas Ilmuwan dan Profesional Muslim Indonesia ]]>
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DOI: 10.21924/cst.6.1.2021.363
<![CDATA[The amount of retrievable smartphone data is escalating; while some apps on the smartphone are evidently exploiting and leaking users’ data. These phenomena potentially violate privacy and personal data protection laws as various studies have showed that technologies such as artificial intelligence could transform smartphone data into personal data by generating user identification and user profiling. User identification identifies specific users among the data based upon the users’ characteristics and users profiling generates users’ traits (e.g. age and personality) by exploring how data is correlated with personal information. Nevertheless, the comprehensive review papers discussing both of the topics are limited. This paper thus aims to provide a comprehensive review of user identification and user profiling using smartphone data. Compared to the existing review papers, this paper has a broader lens by reviewing the general applications of smartphone data before focusing on smartphone usage data. This paper also discusses some possible data sources that can be used in this research topic.]]>
