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All Journal International Journal of Electrical and Computer Engineering Jurnal Teknik ITS Jurnal Buana Informatika Perfecting a Video Game with Game Metrics Bulletin of Electrical Engineering and Informatics JUTI: Jurnal Ilmiah Teknologi Informasi Bulletin of Electrical Engineering and Informatics SCAN Seminar Nasional Informatika (SEMNASIF) Jurnal Inspiration Bulletin of Electrical Engineering and Informatics Energy : Jurnal Ilmiah Ilmu-Ilmu Teknik Melek IT: Information Technology Journal Journal Research of Social Science, Economics, and Management Sewagati

Handayani Tjandrasa

Departemen Teknik Informatika Institut Teknologi Sepuluh Nopember Surabaya

Author-ID : 404187

Aerospace Engineering Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Library & Information Science Mechanical Engineering Social Sciences Other

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Urban Road Materials Identification using Narrow Near Infrared Vision System Heru Purnomo Ipung; Handayani Tjandrasa
International Journal of Electrical and Computer Engineering (IJECE) Vol 7, No 3: June 2017
Publisher : Institute of Advanced Engineering and Science

An urban road materials vision system using narrow band near infrared imaging indexes were proposed. This proposed imaging indexes were enhancement for previous work on autonomous multispectral road sensing method. Each urban road material has different near infrared spectral patterns which is as the base of its spectral identification. The new proposed imaging indexes, which using similar formula of NDVI, was normalized with narrow band near infrared spectrum range of 720nm to 1000nm of wavelength, were used to identify concretes, aggregates/sands/rocks, clay, natural dry fibers and bitumen/asphalt that make up most of urban road materials. This paper proposes imaging indexes evaluation from experiment results to identify those urban road materials. There were seven narrow band optical filter sets with the center spectrum at 710nm, 730nm, 750nm, 800nm, 870nm, 905nm and 970nm. Normalization band used was 720nm using high pass optical filter. The proposed multi-spectral imaging indexes were able to show the potential to classify the selected urban road materials, another approach may need to clearly distinguish between concrete and aggregates. The comparison to the previous imaging indexes (NDVI, NDGR, NDBR) were presented that used for urban road materials identification.

New Lossless Compression Method using Cyclic Reversible Low Contrast Mapping (CRLCM) Hendra Mesra; Handayani Tjandrasa; Chastine Fatichah
International Journal of Electrical and Computer Engineering (IJECE) Vol 6, No 6: December 2016
Publisher : Institute of Advanced Engineering and Science

In general, the compression method is developed to reduce the redundancy of data. This study uses a different approach to embed some bits of datum in image data into other datum using a Reversible Low Contrast Mapping (RLCM) transformation. Besides using the RLCM for embedding, this method also applies the properties of RLCM to compress the datum before it is embedded. In its algorithm, the proposed method engages Queue and Recursive Indexing. The algorithm encodes the data in a cyclic manner. In contrast to RLCM, the proposed method is a coding method as Huffman coding. This research uses publicly available image data to examine the proposed method. For all testing images, the proposed method has higher compression ratio than the Huffman coding.

Text Mining for Pest and Disease Identification on Rice Farming with Interactive Text Messaging Edio da Costa; Handayani Tjandrasa; Supeno Djanali
International Journal of Electrical and Computer Engineering (IJECE) Vol 8, No 3: June 2018
Publisher : Institute of Advanced Engineering and Science

To overcome pests and diseases of rice farming, farmers always rely on information and knowledge from agricultural experts for decision making. The problem is that experts are not always available when the farmers need and the cost is quite high. Pests and diseases elimination is hard to be done individually since the farmers are lack of knowledge about the pest types that attack the rice fields. The objective of this study is to build a knowledge-based system that can identify pests and diseases interactively based on the information that has been told by the farmers using SMS communication services. The system can provide a convenience way to the farmers in delivering pests and disease problem information using a natural language. The text mining method performs tokenizing, filtering and porter stemming that used to extract important information sent by a SMS service. The method of Jaccard Similarity Coefficient (JSC) was used to calculate similarities of each pest and disease based on symptoms that are sent by the farmers through SMS. The corpus database usedin this study consists of 28.526 root words, 1.309 stop wordsand 180 words list. Pest and disease database reference in this study was obtained from the Ministry of Agriculture and Fisher (MAF) Timor-Leste. The result of the experiment shows that the system is able to identify the symptoms based on the keywords identified with the accuracy of 81%. The result of pest and disease identification has the accuracy of 86%.

Hybrid Speckle Noise Reduction Method for Abdominal Circumference Segmentation of Fetal Ultrasound Images Fajar Astuti Hermawati; Handayani Tjandrasa; Nanik Suciati
International Journal of Electrical and Computer Engineering (IJECE) Vol 8, No 3: June 2018
Publisher : Institute of Advanced Engineering and Science

Fetal biometric size such as abdominal circumference (AC) is used to predict fetal weight or gestational age in ultrasound images. The automatic biometric measurement can improve efficiency in the ultrasonography examination workflow. The unclear boundaries of the abdomen image and the speckle noise presence are the challenges for the automated AC measurement techniques. The main problem to improve the accuracy of the automatic AC segmentation is how to remove noise while retaining the boundary features of objects. In this paper, we proposed a hybrid ultrasound image denoising framework which was a combination of spatial-based filtering method and multiresolution based method. In this technique, an ultrasound image was decomposed into subbands using wavelet transform. A thresholding technique and the anisotropic diffusion method were applied to the detail subbands, at the same time the bilateral filtering modified the approximation subband. The proposed denoising approach had the best performance in the edge preservation level and could improve the accuracy of the abdominal circumference segmentation.

Automatic Leukemia Cell Counting using Iterative Distance Transform for Convex Sets Nenden Siti Fatonah; Handayani Tjandrasa; Chastine Fatichah
International Journal of Electrical and Computer Engineering (IJECE) Vol 8, No 3: June 2018
Publisher : Institute of Advanced Engineering and Science

The calculation of white blood cells on the acute leukemia microscopic images is one of the stages in the diagnosis of Leukemia disease. The main constraint on calculating the number of white blood cells is the precision in the area of overlapping white blood cells. The research on the calculation of the number of white blood cells overlapping generally based on geometry. However, there was still a calculation error due to over segment or under segment. This paper proposed an Iterative Distance Transform for Convex Sets (IDTCS) method to determine the markers and calculate the number of overlapping white blood cells. Determination of marker was performed on every cell both in single and overlapping white blood cell area. In this study, there were tree stages: segmentation of white blood cells, marker detection and white blood cell count, and contour estimation of every white blood cell. The used data testing was microscopic acute leukemia image data of Acute Lymphoblastic Leukemia (ALL) and Acute Myeloblastic Leukemia (AML). Based on the test results, Iterative Distance Transform for Convex Sets IDTCS method performs better than Distance Transform (DT) and Ultimate Erosion for Convex Sets (UECS) method.

Co-Authors Agus Zainal Arifin Agus Zainal Arifin Ahmad Hayam Brilian, Ahmad Hayam Ahmad Hifdhul Abror, Ahmad Hifdhul Ahmad Hifdu Abror Ahmad Mustofa Ahmad Reza Musthafa, Ahmad Reza Ahmad Syauqi Ahmad Syauqi Akwila Feliciano Akwila Feliciano Anny Yuniarti Ari Wijayanti Azwar Rizal Alfarisi Bagusmulya, Aditya Bilqis Amaliah Chastine Fatichah Claudia Primasiwi Daniel Sugianto Darlis Herumurti Diana Purwitasari Dini A. Navastara Dini Adni Navastara, Dini Adni Edio da Costa Evelyn Sierra Fajar Astuti Hermawati Fandy Kuncoro Adianto Fandy Kuncoro Adianto Fiqey Indriati Eka Sari Gama Wisnu Fajarianto, Gama Wisnu Gigih P. Cahyono Hendra Mesra Heru Purnomo Ipung Isye Arieshanti Kevin Christian Hadinata Kevin Christian Hadinata Mahendra, Yunan Helmi Manek, Siprianus Septian Muhammad Fikri Sunandar Nadya Anisa Syafa Nanik Suciati Ndung'u, Michael Nenden Siti Fatonah Nenden Siti Fatonah Nurseno Bayu Aji Purnomo, Adenuar Rangga Kusuma Dinata Rangga Kusuma Dinata Ricky Eka Putra Safhira Maharani Safhira Maharani Saiful Bahri Musa Saiful Nur Budiman Salim Bin Usman Salim Bin Usman Sandy Akbar Dewangga Sherly Rosa Anggraeni Sherly Rosa Anggraeni Stendy B. Sakur, Stendy B. Supeno Djanali Susanti, Martini Dwi Endah Whardana, Adithya Kusuma Wiwik Anggraeni Yudhi Purwananto Yulia Niza Yulia Niza Yunita Ardilla Zakiya Azizah Cahyaningtyas Zakiya Azizah Cahyaningtyas

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