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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.
Arjuna Subject : -
Articles 234 Documents
Optimasi Deteksi Kebocoran dengan Menggunakan Phase Stretch Transform pada Retina Fluorescein Angiography Images untuk Penyakit Malaria Rochim, Febry Putra; Nugroho, Hanung Adi; Setiawan, Noor Akhmad
Communications in Science and Technology Vol 3 No 2 (2018)
Publisher : Komunitas Ilmuwan dan Profesional Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (396.523 KB) | DOI: 10.21924/cst.3.2.2018.82

Abstract

Malarial Retinopathy (MR) is indicated by retina alteration such as white dots occurrence which is caused by malaria. Leak detection is a key factor of MR’s early diagnosis. Inconsistent size and shape of the leakages with the colour contrast that relatively similar with the background. Leak detection’s algorithm is one of the most complex algorithms on the fundus image analysis field. Therefore, improving performance in the leakage detection is essential. This study focuses on automated leakage detection on fluorescein angiography (FA) images. The methods used in this study are vessel segmentation, saliency detection, phase stretch transform (PST), optic disk removal and leak detection to extract some features which then classified to correctly validate the leak. From 20 patient data large focal leak images with 31 leak points, 28 of them have been correctly detected. So, the experiment produced the accuracy and specificity of 0.98 and 0.9, respectively. With the proposed method of this study, there is a potential to enhance the knowledge on MR field in the future.
A mini review on percent time-spent-following (PTSF) as the service measure for two-lane highways Rizana, Rama; Alhajyaseen, Wael
Communications in Science and Technology Vol 3 No 2 (2018)
Publisher : Komunitas Ilmuwan dan Profesional Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (244.483 KB) | DOI: 10.21924/cst.3.2.2018.86

Abstract

Percent Time Spent Following (PTSF) is used by the Highway Capacity Manual (HCM) as one of the service measures to assess the level-of-service of two-lane highways since the 2000 edition. But, the problem facing to estimate this parameter is that the difficulty to measure it directly in the field. From several studies, it is known that the HCM analytical procedures applied in PTSF estimation produces inconsistent results with the 3 s surrogate measure and most of them are overestimate. This paper presents a review on estimating PTSF on two-lane highways from several studies that adopted HCM procedures.
A proposal of system for device capability assessment in bring your own device (BYOD) environment of computer assisted personal interviewing Rosnah, Aditya Abdulmunaf; Anang, Yunarso
Communications in Science and Technology Vol 3 No 2 (2018)
Publisher : Komunitas Ilmuwan dan Profesional Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (502.659 KB) | DOI: 10.21924/cst.3.2.2018.91

Abstract

Statistics Indonesia, known in Indonesia as Badan Pusat Statistik (BPS), has conducted a series of trials to utilize Computer-Assisted Personal Interview (CAPI) in a census or survey. However, CAPI costs a lot of money to procure and maintain the device. Bring Your Own Device (BYOD) principle offers cost opportunity to device management. In the practice of BYOD in BPS, a device that has good performance is required, because some devices aren’t capable of running CAPI properly. Yet, in BPS there is no standard value to qualify mobile devices to be used in census or survey. Therefore, it is necessary to review what kind of device is suitable for using CAPI. This study utilized CAPI used in a student’s field study as a case study reference. Initially, researchers develop benchmark applications as a tool for feasibility. Furthermore, developed application is tested on a certain base device to calculate the scores to be used as the standard values.
Wart treatment method selection using AdaBoost with random forests as a weak learner Putra, M. Azka; Setiawan, Noor Akhmad; Wibirama, Sunu
Communications in Science and Technology Vol 3 No 2 (2018)
Publisher : Komunitas Ilmuwan dan Profesional Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (272.523 KB) | DOI: 10.21924/cst.3.2.2018.96

Abstract

Selection of wart treatment method using machine learning is being a concern to researchers. Machine learning is expected to select the treatment of warts such as cryotherapy and immunotherapy to patients appropriately. In this study, the data used were cryotherapy and immunotherapy datasets. This study aims to improve the accuracy of wart treatment selection with machine learning. Previously, there are several algorithms have been proposed which were able to provide good accuracy in this case. However, the existing results still need improvement to achieve better level of accuracy so that treatment selection can satisfy the patients. The purpose of this study is to increase the accuracy by improving the performance of weak learner algorithm of ensemble machine learning. AdaBoost is used in this study as a strong learner and Random Forest (RF) is used as a weak learner. Furthermore, stratified 10-fold cross validation is used to evaluate the proposed algorithm. The experimental results show accuracy of 96.6% and 91.1% in cryotherapy and immunotherapy respectively.
Formation of fine particles using supercritical fluid (SCF) process: Short review Chafidz, Achmad; Jauhary, Thonthowy; Kaavessina, Mujtahid; Sumarno, Sumarno; Latief, Fahamsyah H.
Communications in Science and Technology Vol 3 No 2 (2018)
Publisher : Komunitas Ilmuwan dan Profesional Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (760.44 KB) | DOI: 10.21924/cst.3.2.2018.101

Abstract

This paper will discuss about the utilization of supercritical fluid (SCF) process to produce fine particles. Supercritical fluids (SCFs) process can be considered as an emerging “clean” technology for the production of small-size or fine particles (e.g. micron-size). Microsphere is a material in micron scale which has been widely used as adsorbent, catalyst support, and drug delivery system. For advanced application, those materials are formulated in the form of porous microspheres. There are several methods that can be used using SCFs. Those method are, Rapid Expansion of Supercritical Solution (RESS), Gas Anti-Solvent/Supercritical Anti-Solvent (GAS/ SAS), Aerosol Solvent Extraction System (ASES), dan Solution Enhanced Dispersion by Supercritical Fluids (SEDS) and Particle from Gas-Saturated Solutions/Suspensions (PGSS). Considering the morphology of material which will be used to prepare microsphere, each of methods above has specific advantages and disadvantages toward the material. Based on the literatures, the ASES method is more likely to produce porous microparticles (microspheres). In the ASES method, porous microsphere formation is the result of interactions between: degrees of supersaturation, nucleation velocity and crystal growth.
Promoting transit oriented development typology in the transportation planning Taki, Herika Muhamad; Maatouk, Mohamed Mahmoud H
Communications in Science and Technology Vol 3 No 2 (2018)
Publisher : Komunitas Ilmuwan dan Profesional Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1128.436 KB) | DOI: 10.21924/cst.3.2.2018.103

Abstract

the community. However, there are a few problems along with these advancements, such as the ineffectiveness of modes and networks as well as the inefficiencies of time and cost. Therefore, this paper aims to promote the application of Transit-Oriented Development (TOD) based on typology from existing stations in the Jakarta Metropolitan Region (JMR), Indonesia. It is expected to be able to create a public transport system that is integrated with the needs of the community. It makes easy access to achieve their travel destinations. This paper uses spatial analysis to determine the various TOD typology by involving many variables and indicators. It also creates a spatial model and applies it to transport planning in the JMR. The results obtained are three typologies of TOD namely Regional, Urban and Suburban. All types of TOD scattered in JMR and it has a trend pattern. TOD Regional located in the central core of the JMR, Urban TOD in the center and suburban TOD outside the center. This study is very helpful in guide transportation planning where several stations and railways intersect with future projects such as LRT, MRT, and BRT. It is expected to improve an integrated and sustainable transport planning.
Augmented reality based mobile application for real-time Arabic language translation Ouertani, Henda Chorfi; Tatwany, Lama
Communications in Science and Technology Vol 4 No 1 (2019)
Publisher : Komunitas Ilmuwan dan Profesional Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1260.64 KB) | DOI: 10.21924/cst.4.1.2019.88

Abstract

Augmented Reality (AR) technologies are nowadays widely and ubiquitously used to enhance our real world experience in novel and enriched ways. With the new generation of smart phones and AR technologies, we are embracing a stimulating way of Human-Computer Interaction. Many AR mobile applications were developed in many fields such as education, health, design and Translation... This paper deals with text translation. Many applications are proposed on the market but they are yet limited to a few number of languages. Arabic language is one of these unsupported ones. To overcome this shortage, an AR mobile application for real time Arabic text translation is developed. The user simply hover the device's camera on the desired text and it will be translated automatically and rapidly. This type of application consists of three main components which are: text detection, text extraction and text translation. To ensure the application is performing well, the application is tested on different datasets under different conditions. In addition, a user study test is conducted to test the usability and user satisfaction.
Machine translation of Indonesian: a review Septarina, Amalia Agung; Rahutomo, Faisal; Sarosa, Moechammad
Communications in Science and Technology Vol 4 No 1 (2019)
Publisher : Komunitas Ilmuwan dan Profesional Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (363.405 KB) | DOI: 10.21924/cst.4.1.2019.104

Abstract

Today, Machine Translation have an important role in communication. The need of Machine Translation System is getting higher in this information era. Some Machine Translation already exist, but many researcher interested to improve the quality of translation more natural. Find an optimal translation is not an easy thing to do in language processing. In this paper, we discuss about Machine Translation survey that contain Indonesia language to other language. There are different approaches to machine translation. Various method used in evaluating were also discussed like BLEU and NIST. Moreover, its future works to improve the translation quality. From the review results obtained that the translation has better performance depend on the number of corpus, well-behaved aligned corpus, and the technique used.
Spatial aliasing effects on beamforming performance in large-spacing antenna array Suroso, Dwi Joko; Gautam, Deepak; Sunarno, Sunarno
Communications in Science and Technology Vol 4 No 1 (2019)
Publisher : Komunitas Ilmuwan dan Profesional Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (631.043 KB) | DOI: 10.21924/cst.4.1.2019.109

Abstract

In the next wireless communication generation, 5G, it is obvious to employ the half-spacing antenna elements as high-resolution antenna array. However, to compensate the lower aperture from short-spacing elements, the number of antennas should be grown larger. It will be costly and increase complexity in terms of antenna array analysis. In this paper, the aliasing effects on beamforming of antenna array geometry utilizes inter-element spacing more than half-lambda. The antenna geometry of linear, circular and planar will be explored in this paper and the center frequency for simulation is 60 GHz. It is also due the fact that many researchers on 5G believe 60 GHz will be employed as 5G frequency band. 60 GHz is truly higher than today Long-term-evolution (LTE) working frequency and it is really challenging to its signal model due to small wavelength and its effective signal working distance as effect of rain attenuation, etc. As our preliminary results, linear array, which only considers the azimuthal, the spatial aliasing appears in the inter-element distance more than 1-lambda. The circular and planar consider the azimuth and elevation properties of incoming signals. In circular array, the power angular of a signal can be detected accurately applying the 3-sector antenna pattern. When the inter-element distance grows more than 1.5 lambda, the spatial aliasing which appear to be side lobe with similar power angular dominate the incoming signal detection. The result shows us that employing the 2-lambda distance or more will be useless. Planar array which actually a 2-axis linear array give unexpected results, most of detections are inaccurate and power angular also low. This concludes that spatial aliasing effects will degrade the beamforming performance due to confusion between real signal and fake signal resulting from similar values of array factor.
Dark lesion elimination based on area, eccentricity and extent features for supporting haemorrhages detection Yulyanti, Vesi; Adi Nugroho, Hanung; Ardiyanto, Igi; Oktoeberza, Widhia KZ
Communications in Science and Technology Vol 4 No 1 (2019)
Publisher : Komunitas Ilmuwan dan Profesional Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (410.365 KB) | DOI: 10.21924/cst.4.1.2019.110

Abstract

One of the complications due to the long-term of diabetes is retinal vessels damaging called diabetic retinopathy. It is characterised by appearing the bleeding spots in the large size (haemorrhages) on the surface of retina. Early detection of haemorrhages is needed for preventing the worst effect which leads to vision loss. This study aims to detect haemorrhages by eliminating other dark lesion objects that have similar characteristics with haemorrhages based on three features, i.e. area, eccentricity and extent features. This study uses 43 retinal fundus images taken from DIARETDB1 database. Based on the validation process, the average level of sensitivity gained is 80.5%. These results indicate that the proposed method is quite capable of detecting haemorrhages which appear in the retinal surface.

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