Cahyo Crysdian
Teknik Informatika,UIN MALIKI Malang Jl. Gajayana 50 Malang Telp. 0816-4299881, Email: crysdian@yahoo.com

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DIGITAL ELEVATION MODEL TO VISUALIZE SMALL SPATIAL OBJECT IN 3D Crysdian, Cahyo
MATICS MATICS (Vol. 4 No. 1
Publisher : Department of Informatics Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (784.108 KB) | DOI: 10.18860/mat.v0i0.1559

Abstract

An effort to develop a Digital Elevation Model (DEM) for small scale spatial objects is presented in this paper. The motivation of the research is to visualize a small spatial object as detail as possible in 3D, thus the presentation of the object in term of a computer model is similar to its presentation in reality. To reach this objective, the research was conducted in four stages i.e. elevation data retrieval, 3D visualization and its enhancement, and the development of blank data removal. Elevation data is obtained from SRTM dataset that has 3 arc-second or approximately 90 meters data resolution. Data obtained from SRTM is then visualized in 3D, in which visualization is enriched with view angle setting. Results of visualization show that enhancement to SRTM data set is required to present elevation data in 3D. It is due to the existence of blank data contained in the elevation data retrieved from SRTM. Therefore, this paper proposes two methods to enhance SRTM dataset i.e. population average and neighbors average, in order to counter the existence of blank data. The first method uses the population average of statistic to eliminate blank data, while the latter relies on the average value of its neighboring pixels. Comparison among those methods is held in this research to disclose the performance of each method. Result of comparison shows that the method based on neighbors average outperform population average method to eliminate blank data contained in SRTM data set. Thus, neighbor average delivers better 3D visualization for small scale spatial object. Keywords: Digital Elevation Model, 3D Visualization, Spatial
Analisa Kualitas Citra Digital Hasil Akuisisi Jarak Jauh Crysdian, Cahyo
Prosiding Seminas Vol 1, No 2 (2012): Seminas Competitive Advantage II
Publisher : Unipdu Jombang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (251.076 KB)

Abstract

Abstrak Penelitian ini dimotivasi oleh banyaknya fenomena alam yang tidak mungkin diamati dari jarak dekat seperti terjadinya bencana alam maupun berbagai kehidupan flora dan fauna. Sementara itu perkembangan penelitian dalam bidang pengamatan visual jarak jauh hingga saat ini menegaskan bahwa obyek yang berada pada jarak jauh memiliki kualitas presentasi yang rendah. Oleh karena itu perlu dilakukan identifikasi karakteristik terhadap citra digital hasil akusisi dari jarak jauh, yaitu dengan melakukan perbandingan presentasi histogram serta presentasi dalam domain frekuensi dengan citra digital yang diakuisisi dari jarak dekat. Hasil identifikasi menunjukkan bahwa citra digital yang diakuisisi dari jarak jauh memiliki sebaran nilai pixel yang lebih sempit serta memiliki susunan frekuensi tinggi yang lebih sedikit jika dibandingkan dengan citra digital yang diakuisisi dari jarak dekat, sehingga hasil yang didapatkan dari akuisisi jarak jauh memiliki presentasi yang lebih buram serta mengandung detil obyek yang lebih sedikit.   Kata kunci: Kualitas Citra Digital, Akuisisi Jarak Jauh, Domain Frekuensi Abstract The research is motivated by a number of natural phenomenons which allow monitoring only from a distance such as the occurrence of many natural disasters as well as the life of flora and fauna in the nature. Meanwhile the progress of the research on remote monitoring has proved the the quality of remote object presentation is low. Therefore it is necessary to identify the characteristic of a digital image obtained from remote monitoring i.e. it is accomplished using histogram and frequency comparison against the image obtained from a closed distance acquisition. The research shows that the image obtained from remote monitoring hold a shorter distribution of pixel value compared to the image obtained from a closed distance. And comparison in the frequency domain shows that the image obtained from remote monitoring presents fewer high frequencies, thus its presentation in the space domain looks dull. Kata kunci: Digital Image Quality, Remote Acquisition, Frequency Domain
QUERY ANSWERING SYSTEM OF SHAHIH HADITH MUTTAFAQUN ‘ALAIH USING INDONESIAN THESAURUS BASED ON QUERY EXPANSION AND NAÏVE BAYES CLASSIFIER Rounaqi, Muhammad Fairuz Zumar; Crysdian, Cahyo; Melani, Roro Inda
MATICS Vol 12, No 1 (2020): MATICS
Publisher : Department of Informatics Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (585.358 KB) | DOI: 10.18860/mat.v12i1.8320

Abstract

Abstract? Hadith are all the words, deeds and provisions of the Prophet Muhammad SAW that are used as the second of Islamic law after Al-Quran. The purpose of this study is to make an Information Retrieval system called the Query Answering System is expected to facilitate users in searching and finding the hadith documents as the user's needs. This study implements the Naïve Bayes Classifier method combined with Indonesian thesaurus as a query expansion to find the hadith documents that relevant to the input query. Based on the testing of 50 query data, the test results show that the use of query expansion gives better results than without using query expansion. Where based on testing of the top 1 data without using query expansion obtained an average recall value of 62%, an average precision value of 62%, an average accuracy value of 92.4% and an average value of the f-measure of 62%, while testing using query expansion obtained an average recall value of 66%, an average precision value of 66%, an average accuracy value of 93.2% and an average f -measure value of 66%. Based on the test results, the use of query expansion shows an improvement in the average recall value of 4%, an improvement in the average precision value of 4%, and an improvement in the average accuracy value of 0.8% and an improvement in the average f-measure value of 4% compared on without using query expansion. Index Terms?hadith, information retrieval, query expansion, naïve bayes.