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The Oxygenated Biomarker as an Indicator of Origin and Maturity of Miocene Brown Coal, Sangatta Coal Mines, East Kalimantan Zetra, Yulfi; Kusuma, Hendra Siswanto; Riandra, Fina; Sosrowidjojo, Imam B.; Burhan, R.Y. Perry
Indonesian Journal on Geoscience Vol 5, No 2 (2018)
Publisher : Geological Agency

DOI: 10.17014/ijog.5.2.107-116The Middle to Late Miocene brown coal extracted from Inul area, Sangatta coal mines, East Kalimantan, was studied to recognize the distribution of ketone and acid biomarkers. Samples were extracted using soxhlet method and separated by column chromatography and thin layer chromatography. Acetylation of acid fractions by BF3/MeOH produced an ester compound which is an acid derivative. The distributions of fatty acid methyl esters were analyzed with gas chromatography-mass spectrometry (GC-MS). The distributions of ketones included compounds in n-alkan-2-one, amyrin-derived ketone, and friedeline derivatives as well as olean-13(18)-en-3-one with oleanane skeleton. Distributions of fatty acids included compounds in the range from n-methylhexadecanoate (n-C16) to n-methyltriacontanoate (n-C30) with dominating compounds from n-methylhexadecanoate (n-C16) to n-methyldococanoate (n-C22). The most obvious feature is predominance of compounds with even-over-odd-carbon-atom-number in a molecule, which come from vascular plant fatty acids. The distributions of these biomarker compounds are used as an indicator of higher plant and oxic depositional environment, as well as the involvement of bacteria in diagenesis stage which indicates immature coals.

The Oxygenated Biomarker as an Indicator of Origin and Maturity of Miocene Brown Coal, Sangatta Coal Mines, East Kalimantan Zetra, Yulfi; Kusuma, Hendra Siswanto; Riandra, Fina; Sosrowidjojo, Imam B.; Burhan, R.Y. Perry
Indonesian Journal on Geoscience Vol 5, No 2 (2018)
Publisher : Geological Agency

DOI: 10.17014/ijog.5.2.107-116The Middle to Late Miocene brown coal extracted from Inul area, Sangatta coal mines, East Kalimantan, was studied to recognize the distribution of ketone and acid biomarkers. Samples were extracted using soxhlet method and separated by column chromatography and thin layer chromatography. Acetylation of acid fractions by BF3/MeOH produced an ester compound which is an acid derivative. The distributions of fatty acid methyl esters were analyzed with gas chromatography-mass spectrometry (GC-MS). The distributions of ketones included compounds in n-alkan-2-one, amyrin-derived ketone, and friedeline derivatives as well as olean-13(18)-en-3-one with oleanane skeleton. Distributions of fatty acids included compounds in the range from n-methylhexadecanoate (n-C16) to n-methyltriacontanoate (n-C30) with dominating compounds from n-methylhexadecanoate (n-C16) to n-methyldococanoate (n-C22). The most obvious feature is predominance of compounds with even-over-odd-carbon-atom-number in a molecule, which come from vascular plant fatty acids. The distributions of these biomarker compounds are used as an indicator of higher plant and oxic depositional environment, as well as the involvement of bacteria in diagenesis stage which indicates immature coals.

The Oxygenated Biomarker as an Indicator of Origin and Maturity of Miocene Brown Coal, Sangatta Coal Mines, East Kalimantan Zetra, Yulfi; Kusuma, Hendra Siswanto; Riandra, Fina; Sosrowidjojo, Imam B.; Burhan, R.Y. Perry
Indonesian Journal on Geoscience Vol 5, No 2 (2018)
Publisher : Geological Agency

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17014/ijog.5.2.107-116

DOI: 10.17014/ijog.5.2.107-116The Middle to Late Miocene brown coal extracted from Inul area, Sangatta coal mines, East Kalimantan, was studied to recognize the distribution of ketone and acid biomarkers. Samples were extracted using soxhlet method and separated by column chromatography and thin layer chromatography. Acetylation of acid fractions by BF3/MeOH produced an ester compound which is an acid derivative. The distributions of fatty acid methyl esters were analyzed with gas chromatography-mass spectrometry (GC-MS). The distributions of ketones included compounds in n-alkan-2-one, amyrin-derived ketone, and friedeline derivatives as well as olean-13(18)-en-3-one with oleanane skeleton. Distributions of fatty acids included compounds in the range from n-methylhexadecanoate (n-C16) to n-methyltriacontanoate (n-C30) with dominating compounds from n-methylhexadecanoate (n-C16) to n-methyldococanoate (n-C22). The most obvious feature is predominance of compounds with even-over-odd-carbon-atom-number in a molecule, which come from vascular plant fatty acids. The distributions of these biomarker compounds are used as an indicator of higher plant and oxic depositional environment, as well as the involvement of bacteria in diagenesis stage which indicates immature coals.

Gabor-based Face Recognition with Illumination Variation using Subspace-Linear Discriminant Analysis Hendra Kusuma; Wirawan Wirawan; Adi Soeprijanto
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 10, No 1: March 2012
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v10i1.767

Face recognition has been an active research topic in the past few decades due to its potential applications. Accurate face recognition is still a difficult task, especially in the case that illumination is unconstrained. This paper presents an efficient method for the recognition of faces with different illumination by using Gabor features, which are extracted by using log-Gabor filters of six orientations and four scales. By Using sliding window algorithm, these features are extracted at image block-regions. Extracted features are passed to the principal component analysis (PCA) and then to linear discriminant analysis (LDA). For development and testing we used facial images from the Yale-B databases. The proposed method achieved 86–100 % rank 1 recognition rate.

Deep learning based facial expressions recognition system for assisting visually impaired persons Hendra Kusuma; Muhammad Attamimi; Hasby Fahrudin
Bulletin of Electrical Engineering and Informatics Vol 9, No 3: June 2020
Publisher : Institute of Advanced Engineering and Science

In general, a good interaction including communication can be achieved when verbal and non-verbal information such as body movements, gestures, facial expressions, can be processed in two directions between the speaker and listener. Especially the facial expression is one of the indicators of the inner state of the speaker and/or the listener during the communication. Therefore, recognizing the facial expressions is necessary and becomes the important ability in communication. Such ability will be a challenge for the visually impaired persons. This fact motivated us to develop a facial recognition system. Our system is based on deep learning algorithm. We implemented the proposed system on a wearable device which enables the visually impaired persons to recognize facial expressions during the communication. We have conducted several experiments involving the visually impaired persons to validate our proposed system and the promising results were achieved.

The Oxygenated Biomarker as an Indicator of Origin and Maturity of Miocene Brown Coal, Sangatta Coal Mines, East Kalimantan Yulfi Zetra; Hendra Siswanto Kusuma; Fina Riandra; Imam B. Sosrowidjojo; R.Y. Perry Burhan
Indonesian Journal on Geoscience Vol 5, No 2 (2018)
Publisher : Geological Agency

DOI: 10.17014/ijog.5.2.107-116The Middle to Late Miocene brown coal extracted from Inul area, Sangatta coal mines, East Kalimantan, was studied to recognize the distribution of ketone and acid biomarkers. Samples were extracted using soxhlet method and separated by column chromatography and thin layer chromatography. Acetylation of acid fractions by BF3/MeOH produced an ester compound which is an acid derivative. The distributions of fatty acid methyl esters were analyzed with gas chromatography-mass spectrometry (GC-MS). The distributions of ketones included compounds in n-alkan-2-one, amyrin-derived ketone, and friedeline derivatives as well as olean-13(18)-en-3-one with oleanane skeleton. Distributions of fatty acids included compounds in the range from n-methylhexadecanoate (n-C16) to n-methyltriacontanoate (n-C30) with dominating compounds from n-methylhexadecanoate (n-C16) to n-methyldococanoate (n-C22). The most obvious feature is predominance of compounds with even-over-odd-carbon-atom-number in a molecule, which come from vascular plant fatty acids. The distributions of these biomarker compounds are used as an indicator of higher plant and oxic depositional environment, as well as the involvement of bacteria in diagenesis stage which indicates immature coals.

Low Cost Optical-electronic Sensor Development Based on Raman Spectroscopy for Liquid Luqman Aji Kusumo; Totok Mujiono; Hendra Kusuma
JAREE (Journal on Advanced Research in Electrical Engineering) Vol 4, No 2 (2020): October
Publisher : Department of Electrical Engineering ITS and FORTEI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j25796216.v4.i2.127

Spectroscopy is a method that used to identifychemical structure of substances using its spectral patterncharacteristics. Optical spectroscopy term can be applied to anykind of optical photon interactions with matter. Ramanspectroscopy essentially shows spectral response like thewavelength of scattered light is shifted regarding initializingexcitation wavelength. In this paper, we propose a design of lowcost optical-electronic sensor based on Raman spectroscopy.This low cost optical-electronic sensor employs a violet-blue 405nm wavelength laser diode, a biconvex lens with 5 cm diameterand focus point, a test tube, and a Complementary Metal OxideSemiconductor (CMOS) sensor. We tested this low cost opticalelectronic sensor based on Raman spectroscopy in darkcondition. Combination of these hardware and components canprovide measurement result to any liquid sample. From thisexperiment, even all liquid samples that used to test thiscombination of hardware and components are transparent, theystill have different Raman spectra. This combination ofhardware and components can be implemented into someapplication for instance body liquid measurement such as blood.In specific application, we need to employ data analysis and abunch of data set which are organized into three different groupsuch as training data, validation data, and test data group,combined with this developed instrumentation.Keywords: CMOS sensor, laser diode, Raman scattering, Raman spectroscopy, spectroscope.

Object Extraction Using Probabilistic Maps of Color, Depth, and Near-Infrared Information Muhammad Attamimi; Kelvin Liusiani; Astria Nur Irfansyah; Hendra Kusuma; Djoko Purwanto
JAREE (Journal on Advanced Research in Electrical Engineering) Vol 4, No 1 (2020): April
Publisher : Department of Electrical Engineering ITS and FORTEI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j25796216.v4.i1.106

Object extraction is one of the important and chal-lenging tasks in the computer vision and/or robotics ? elds.This task is to extract the object from the scene using anypossible cues. The scenario discussed in this study was the objectextraction which considering the Space of Interest (SOI), i.e.,the three dimensional area where the object probably existed.To complete such task, the object extraction method based onthe probabilistic maps of multiple cues was proposed. Thanksto the Kinect V2 sensor, multiple cues such as color, depth, andnear-infrared information can be acquired simultaneously. TheSOI was modeled by a simple probabilistic model by consideringthe geometry of the possible objects and the reachability of thesystem acquired from depth information. To model the color andnear-infrared information, a Gaussian mixture models (GMM)was used. All of the models were combined to generate theprobabilistic maps that were used to extract the object fromthe scene. To validate the proposed object extraction, severalexperiments were conducted to investigate the best combinationof the cues used in this study.Keywords: color information, depth information, near-infrared information, object extraction, probabilistic maps.

Comparative SNR Analysis Between Instrument ADAS1000 and AD620 Tri Arief Sardjono; Hendra Kusuma; Tasripan; Kharis Sugiarto
Jurnal Sistim Informasi dan Teknologi 2022, Vol. 4, No. 3
Publisher : Rektorat Universitas Putra Indonesia YPTK Padang

The semiconductor technology for a certain function, such as instrumentation amplifier ICs is currently developing very fast, commercially available and can be obtained easily on the market. An instrumentation amplifier is a very important part in the process of data acquisition, especially for biopotential signals from the human body because its amplitude is very small and susceptible to noise interference. The selection of the proper amplifier instrumentation will produce an accurate biopotential signal reading. This paper explains the use of 2 types of instrumentation amplifiers, namely AD620 and ADAS1000, which are used in the design and realization of 12-channel ECG (Electrocardiograph). The performance and noise resistance of the two instrumentation amplifiers are compared and analyzed so that an appropriate instrumentation amplifier can be determined especially in the case of 12-channel ECG applications. 12-channel ECG was chosen because of the complexity of the design and can provide more detailed information as well as to detect the abnormalities heart’s functions. The results shows that 12-channel ECG using AD620 instrumentation amplifier has an SNR value below 12.04 dB, while using the ADAS1000 instrumentation amplifier has an SNR value below 35.5 dB and it is more resistant to noise interference.

Perspective Transformation Automation In Identification Of Parking Lot Status With Blob Detection Mohammad Nasrul Mubin; Hendra Kusuma; Muhammad Rivai
JAREE (Journal on Advanced Research in Electrical Engineering) Vol 7, No 2 (2023): July
Publisher : Department of Electrical Engineering ITS and FORTEI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/jaree.v7i2.364

Implementation of automation greatly facilitates the work of a system. This research automates the search for perspective transformation coordinates. In previous study, the process was done manually and was considered time-consuming and costly. The search for these coordinates is carried out with the help of red circles at several points in the parking area to be identified. There are two cases of images to be automated, namely the image of the parking area without obstacles and with obstacles. In the unobstructed images, the identification of transformation coordinates is carried out by identifying the coordinates of the auxiliary circle. Whereas in the images with obstructions, the identification of the transformation coordinates also involves the intersection equations of lines. The process of identifying the coordinates is done with the condition of the parking lot without a single vehicle. Once the coordinates are obtained, all coordinates are stored and will be used in the perspective transformation process in status parking slot identification stage. The identification stage is same with previous study. The proposed system 100% able to identify the transformation coordinates and carry out the perspective transformation process as expected. Of the 900 samples in each case, we acquire 100% recall, and most of the parking slot identification status being above 85% precision and accuracy. Compared to previous studies, the proposed system is more effective, with recall, precision, and accuracy values at 100%. The effectiveness of the proposed system is even more evident with average data automation time is 31.689 seconds.

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