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Communications in Science and Technology
ISSN : 25029258     EISSN : 25029266     DOI : -
Core Subject : Engineering,
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.
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Articles 8 Documents
Search results for , issue "Vol 6 No 1 (2021)" : 8 Documents clear
Fractional weighted ZF equalizer: A novel approach for channel equalization in MIMO-OFDM system under impulse noise environment S. P. Girija; Rameshwar Rao
Communications in Science and Technology Vol 6 No 1 (2021)
Publisher : Komunitas Ilmuwan dan Profesional Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21924/cst.6.1.2021.224

Abstract

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.
Potential of lacto-N-biose I as a prebiotic for infant health: A review Warsono El Kiyat; Santi Dwi Astuti; Slamet Budijanto; Elvira Syamsir
Communications in Science and Technology Vol 6 No 1 (2021)
Publisher : Komunitas Ilmuwan dan Profesional Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21924/cst.6.1.2021.277

Abstract

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.
Removal of Cr(VI) from aqueous solution by biochar derived from rice husk Risfidian Mohadi; Neza Rahayu Palapa; Tarmizi Taher; Patimah Mega Syah Bahar Nur Siregar; Normah; Novie Juleanti; Alfan Wijaya; Aldes Lesbani
Communications in Science and Technology Vol 6 No 1 (2021)
Publisher : Komunitas Ilmuwan dan Profesional Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21924/cst.6.1.2021.293

Abstract

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.
Benthic habitat classification using multiscale GEOBIA on orthophoto images of Karimunjawa waters Yahya Dwikarsa; Abdul Basith
Communications in Science and Technology Vol 6 No 1 (2021)
Publisher : Komunitas Ilmuwan dan Profesional Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21924/cst.6.1.2021.332

Abstract

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
Al-Quran recitation verification for memorization test using Siamese LSTM network Rian Adam Rajagede; Rochana Prih Hastuti
Communications in Science and Technology Vol 6 No 1 (2021)
Publisher : Komunitas Ilmuwan dan Profesional Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21924/cst.6.1.2021.344

Abstract

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%
A review on smartphone usage data for user identification and user profiling Syafira Auliya; Lukito Edi Nugroho; Noor Akhmad Setiawan
Communications in Science and Technology Vol 6 No 1 (2021)
Publisher : Komunitas Ilmuwan dan Profesional Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21924/cst.6.1.2021.363

Abstract

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.
In vitro anthelmintic activity of pineapple peel juice (Ananas comosus (L.) Merr.) against Paramphistomum sp. Siska Yunita Damiyati; Iman Surya Pratama; Galuh Tresnani
Communications in Science and Technology Vol 6 No 1 (2021)
Publisher : Komunitas Ilmuwan dan Profesional Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21924/cst.6.1.2021.394

Abstract

Pineapple peel (Ananas comosus (L.) Merr.) has a potential natural-based anthelmintic agent. This study aimed to determine the effective concentration of pineapple peel juice against Paramphistomum sp. in vitro. Adults Paramphistomum sp. were divided into 5 test groups, the control group contained Albendazole 10% w/v, the nontreatment group contained NaCl 0.9% w/v and the treatment group contained pineapple peel juice with concentration of 12.5, 20, and 25% w/v. The number of live flukes and the motility scores were recorded every 15 minutes for 5 hours of incubation. The Survival Index (SI) and Relative Motility (RM) of flukes were calculated and statically analyzed using SPSS version 23 software. SI values of flukes in the 12.5, 20, and 25% w/v concentration of treatment group were 46.3, 50.0, and 38.9% respectively. RM values of flukes in the 12.5, 20 and 25% w/v concentration of treatment groups were 39.1, 42.0, and 34.1 respectively. RM values of flukes in the 12.5, 20 and 25% w/v concentration of treatment groups were 39.1359, 42.0249, and 34.1174 respectively. This research showed that, pineapple peel juice 25% w/v was effective against Paramphistomum sp. with survival index and relative motility values comparable to Albendazole 10% w/v (p <0.05).
Nanofiber-enrich activated carbon coin derived from tofu dregs as electrode materials for supercapacitor Erman Taer; Apriwandi; Fainida Hasanah; Rika Taslim
Communications in Science and Technology Vol 6 No 1 (2021)
Publisher : Komunitas Ilmuwan dan Profesional Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21924/cst.6.1.2021.407

Abstract

In this study, the activated carbon with enriched nanofiber obtained from free-binder materials. It was conducted tofu dregs carbon nanofiber as electrode material for supercapacitor without the addition of pVdF/PTFE. The chemical impregnation of NaOH, ZnCl2 and H3PO4 at high-temperature pyrolysis in an N2-CO2 environment converted the tofu dregs into carbon coin. Subsequently, the physical properties including, microcrystalline, morphology, element analysis, and electrochemical properties of specific capacitance were investigated. The morphological structure of activated carbon showed high nanofiber density and was decorated by sponge-like pores. In addition, the nanofiber contains oxygen content of 12.70% which can act as self-doping due to the pseudo-capacitance properties. Furthermore, the two-electrode system obtained a specific capacitance of 163 F g-1 in 1 M H2SO4 electrolyte. The results showed that tofu dregs-based activated carbon coins are sustainable and efficient to obtain high-dense nanofiber structure as electrode materials for energy storage applications.

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