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All Journal MATICS : Jurnal Ilmu Komputer dan Teknologi Informasi (Journal of Computer Science and Information Technology) Jurnal Teknologi dan Manajemen Informatika Prosiding Seminas Competitive Advantage Jurnal Teknologi Informasi dan Ilmu Komputer Proceeding of the Electrical Engineering Computer Science and Informatics Jurnal ELTIKOM : Jurnal Teknik Elektro, Teknologi Informasi dan Komputer JOIV : International Journal on Informatics Visualization EnviroScienteae Syntax Literate: Jurnal Ilmiah Indonesia Indonesian Journal of Artificial Intelligence and Data Mining Applied Information System and Management Technomedia Journal MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer JURIKOM (Jurnal Riset Komputer) JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Jurnal Mantik JISKa (Jurnal Informatika Sunan Kalijaga) Jurnal Mnemonic G-Tech : Jurnal Teknologi Terapan Jurnal Cahaya Mandalika Jurnal Aplikasi Teknologi Informasi dan Manajemen (JATIM) The Indonesian Journal of Computer Science International Journal of Information Systems and Technology (IJOINT)
Cahyo Crysdian
Universitas Islam Negeri Maulana Malik Ibrahim Malang
Aerospace Engineering Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Social Sciences Other

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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. 
Identification of Student Academic Performance in Computer Science Based on Naive Bayes Aziz, Kevin Elmy; Crysdian, Cahyo; Imamudin, Mochamad
MATICS Vol 13, No 1 (2021): MATICS
Publisher : Department of Informatics Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/mat.v13i1.9726

Abstract

Jurusan Teknik Informatika is one of the study programs at UIN Maulana Malik Ibrahim. Based on the current curriculum in Jurusan Teknik Informatika, the curriculum refers to the IEEE/ACM Computer Science Curricula 2013. The IEEE/ACM Computer Science Curricula 2013 has a knowledge area classification, which is mentioned in the curriculum as having 18 knowledge areas. The curriculum used in the current technical study program is formulated and determined from the entire content or collection of knowledge in the IEEE/ACM Computer Science Curricula 2013. In the Jurusan Teknik Informatika curriculum at UIN Malik Ibrahim Malang currently there are 76 subjects, 58 of which are Teknik Informatika subjects and 18 others are general subjects. To identify the academic performance of students it is necessary to classify the curriculum in the Department of Informatics Engineering to the knowledge area in the IEEE / ACM Computer Science Curricula 2013. Classification is done using the Naïve Bayes method by calculating the probability of each course of the knowledge area, after it is done classification, data will appear in the form of subject distribution to the knowledge area. After classification, it is necessary to determine the level of contribution of each course that has spread to the knowledge area. This contribution level is entered into the Joint formula with the value of the student transcript to calculate the student's academic performance. Testing is done by comparing the output in the form of knowledge area with the highest performance produced by the program with input in the form of knowledge area from the expert for each student. This research resulted in an accuracy of 78.95% from the results of twenty times experiment.
SWOT Analysis Untuk Pengembangan Strategy Program Studi Menuju Kelas Dunia Aziz, Okta Qomaruddin; Fatchurrohman, Fatchurrohman; Wahyu Prakasa, Johan Ericka; S, Puspa Miladin; Qosim, Ahmad Latif; Atmalia, Citra Fidya; Crysdian, Cahyo
MATICS Vol 13, No 1 (2021): MATICS
Publisher : Department of Informatics Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/mat.v13i1.10896

Abstract

Teknologi informasi merupakan salah satu bidang yang berkembang pesat di zaman sekarang. Fenomena ini diperkirakan akan terus berlangsung dalam jangka yang sangat panjang. Kualitas program studi tentunya harus mengikuti perkembangan teknologi informasi tersebut. Oleh karena itu perlu dilakukan pendekatan yang komprehensif dalam mengembangkan program studi berdasarkan kondisi yang ada pada program studi tersebut. Penelitian ini akan membahas strategi pengembangan program studi berdasarkan analisis SWOT dan ranking prioritas pada jurusan TI UIN Maulana Malik Ibrahim Malang.
Sistem Automatic Text Summarization Menggunakan Algoritma Textrank Zamzam, Muhammad Adib; Crysdian, Cahyo; Hayati Holle, Khadijah Fahmi
MATICS Vol 12, No 2 (2020): MATICS
Publisher : Department of Informatics Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/mat.v12i2.8372

Abstract

Text summarization (perangkuman teks) adalah pendekatan yang bisa digunakan untuk meringkas atau memadatkan teks artikel yang panjang menjadi lebih pendek dan ringkas sehingga hasil rangkuman teks yang relatif lebih pendek bisa mewakilkan teks yang panjang. Automatic Text Summarization adalah perangkuman teks yang dilakukan secara otomatis oleh komputer. Terdapat dua macam algoritma Automatic Text Summarization yaitu Extraction-based summarization dan Abstractive summarization. Algoritma TextRank merupakan algoritma extraction-based atau extractive, dimana ekstraksi di sini berarti memilih unit teks (kalimat, segmen-segmen kalimat, paragraf atau passages), lalu dianggap berisi informasi penting dari dokumen dan menyusun unit-unit (kalimat-kalimat) tersebut dengan cara yang benar. Hasil penelitian dengan input 50 artikel dan hasil rangkuman sebanyak 12,5% dari teks asli menunjukkan bahwa sistem memiliki nilai recall ROUGE 41,659 %. Nilai tertinggi recall ROUGE tertinggi tercatat pada artikel 48 dengan nilai 0,764. Nilai terendah recall ROUGE tercatat pada artikel  37 dengan nilai 0,167.
Peningkatan Keamanan Grup Chat Menggunakan Kombinasi Metode RSA, Elgamal, Dan Vigenere Chiper Setiawan, Dwi Risky; Crysdian, Cahyo; Hanani, Ajib
MATICS Vol 11, No 2 (2019): MATICS
Publisher : Department of Informatics Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (508.993 KB) | DOI: 10.18860/mat.v11i2.8438

Abstract

Abstrak—Seiring dengan perkembangan teknologi telepon seluler yang pesat dan  banyaknya penggunaan layanan mobile messenger, maka aspek keamanan menjadi sangat penting untuk dipertimbangkan. Keamanan merupakan masalah  terbesar bagi pengguna mobile messenger pada perusahaan atau enterprise. Maka dibutuhkan aplikasi mobile messenger dengan sistem enkripsi menggunakan kombinasi metode RSA, Elgamal, dan Viginere Cipher yang lebih sulit untuk dipecahkan dari pada menggunakan single metode. Penggunaan kombinasi metode akan meningkatkan konsumsi waktu sebanyak 45%, tingkat keberhasilan dideskripsikan kembali menurun sebanyak 46,2%, dan peningkatan size pesan sebanyak 80% namun aspek keamanan jauh lebih penting. Dengan menggunakan kombinasi metode akan meningkatkan usaha perulangan brute force sebesar 73.496.518,7%.
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

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
A Framework for Remote Monitoring System Cahyo Crysdian
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 3: EECSI 2016
Publisher : IAES Indonesia Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (508.189 KB) | DOI: 10.11591/eecsi.v3.1117

Abstract

Remote monitoring system becomes an important facility to support observation activities for various natural disasters. In many incidents of natural disaster such as volcano eruptions, the available monitoring systems installed closely to disaster area were damaged due to extreme condition raised by the event. The temperature of disaster site could suddenly increase to hundred degrees of Celsius, drowned in a water flood or even trapped in a toxic heating gas. Therefore, it is important to have observation facility that is installed far away from disaster area. This research is an exploratory study to develop the framework for remote monitoring system. It includes hardware requirement and algorithm definition that cover system lenses and a set of image processing algorithm. The framework delivers a promising preliminary result towards the effort for remote monitoring system development.
Smart Assessment menggunakan Backpropagation Neural Network Agung Teguh Wibowo Almais; Cahyo Crysdian; Khadijah Fahmi Hayati Holle; Akbar Roihan
MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer Vol 21 No 3 (2022)
Publisher : LPPM Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (628.717 KB) | DOI: 10.30812/matrik.v21i3.1469

Abstract

Penerapan scraping dan Backpropagation Neural Network dapat menjadikan penilaian Self- Assessment Questionnaire (SAQ) website Pemerintah Daerah Provinsi Jawa Timur lebih smart jika dibandingkan dengan model assessment yang sudah ada. Langkah awal yaitu melakukan scraping website Pemerintah Daerah Provinsi Jawa Timur untuk mendapatkan nilai SAQ. Hasil scraping tersebut akan digunakan sebagai data uji pada metode Backpropagation Neural Network, kemudian hasil data uji akan di proses menggunakan 4 jenis model data yang berbeda-beda dari segi jumlah iterasi dan hidden layer untuk mendapatkan akurasi terbaik. Pada model data A menggunakan iterasi 1000 dan 5 hidden layer menghasilkan nilai Mean Squared Error (MSE) 0,0117, Mean Absolute Percent Error (MAPE) 39,36% dan Akurasi 60.64%. Model data B menggunakan iterasi 1000 dan 7 hidden layer menghasilkan nilai MSE 0,0087, MAPE 29,49% dan Akurasi 70,50%. Model data C dengan menggunakan iterasi 2000 dan 9 hidden layer menghasilkan nilai MSE 0,0064, MAPE 24,46% dan Akurasi 75,53%. Model data D menggunakan iterasi 2000 dan 9 hidden layer menghasilkan nilai MSE 0,0036, MAPE 18,71% dan Akurasi 81,28%. Dari hasil ujicoba tersebut bahwa model data D yang menggunakan iterasi 2000 dan 9 hidden layer menghasilkan tingkat akurasi yang terbaik sehingga model data D dapat dijadikan acuan hasil penilaian website Pemerintah Daerah Provinsi Jawa Timur tahun 2021.
Co-Authors Adhitya Prayoga Permana Agung Teguh Wibowo Almais Ajib Hanani Akbar Roihan Arafat, Ihsan Bagus Fahad Arief, Yunifa Miftachul Atmalia, Citra Fidya Aziz, Kevin Elmy Fachri, Ahnaf Febriyan Fatchurrohman Fatchurrohman, Fatchurrohman Fresy Nugroho Galib, Galan Ramadan Harya Ihtada, Fahrendra Khoirul Imammudin, M. Irwan Budi Santoso Johan Ericka Wahyu Prakasa Khadijah Fahmi Hayati Holle Khamidatullailiyah, Yayang Kurniawan, Andang Ma'muri, Ma'muri Mahmudiah, Rikha Rizki Mauludiah, Siska Farizah Mochamad Imamudin Mokhamad Amin Hariyadi Muhammad Faisal Muhammad Faisal Muhammad Sahi Mustaqim, Eka Rifut Nur Okta Qomaruddin Aziz Pangestu, Denis Aji Pratama, Mohammad Yoga Putra, Hirga Ertama Putra, Kurniawan Tri Qosim, Ahmad Latif Ririen Kusumawati Romadhani, Ahmad Roro Inda Melani Rounaqi, Muhammad Fairuz Zumar S, Puspa Miladin Sahi, Muhammad Setiawan, Dwi Risky Silfiyah, Chilmiatus Suarti, Isa Sugiharto, Tomy Ivan Susilo, Ni`mah Firsta Cahya Sya'roni Syahreni, Syahreni Syawab, Moh Husnus Totok Chamidy Tri Gunantohadi Usman Pagalay Yuliawan, Audi Bayu Yunifa Miftachul Arif Yustina, Eva Zainal Abidin Zamzam, Muhammad Adib Zarkoni, Ahmad