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All Journal International Journal of Electrical and Computer Engineering International Journal of Advances in Applied Sciences Tekno - Pedagogi : Jurnal Teknologi Pendidikan Jurnal Ilmiah Merpati (Menara Penelitian Akademika Teknologi Informasi) Lontar Komputer: Jurnal Ilmiah Teknologi Informasi Jurnal Jurusan Pendidikan Teknik Elektro Jurnal Pendidikan Teknologi dan Kejuruan Jupiter Proceedings of KNASTIK Jurnal Sains dan Teknologi Jurnal Pekommas Telematika : Jurnal Informatika dan Teknologi Informasi JUITA : Jurnal Informatika Jurnal Sistem dan Informatika CESS (Journal of Computer Engineering, System and Science) Jurnal Ilmiah KOMPUTASI Sinkron : Jurnal dan Penelitian Teknik Informatika Knowledge Engineering and Data Science Jurnal Penelitian Pendidikan IPA (JPPIPA) JUTIK : Jurnal Teknologi Informasi dan Komputer Jurnal Eksplora Informatika JITK (Jurnal Ilmu Pengetahuan dan Komputer) PROCESSOR Jurnal Ilmiah Sistem Informasi, Teknologi Informasi dan Sistem Komputer SINTECH (Science and Information Technology) Journal Technomedia Journal Jurnal Infomedia Jurnal RESISTOR (Rekayasa Sistem Komputer) WIDYA LAKSANA Journal of Education Technology International Journal of Natural Science and Engineering Jurnal Nasional Pendidikan Teknik Informatika (JANAPATI) Jurnal EDUTECH Undiksha JURIKOM (Jurnal Riset Komputer) KOMPUTA : Jurnal Ilmiah Komputer dan Informatika JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Logic : Jurnal Rancang Bangun dan Teknologi Jurnal Ilmiah Sinus JOISIE (Journal Of Information Systems And Informatics Engineering) Jurnal Mantik JURNAL ILMU KOMPUTER INDONESIA INTI Nusa Mandiri Jurnal Teknologi Dan Sistem Informasi Bisnis Jurnal Sistem Komputer & Kecerdasan Buatan Indonesian Journal of Electrical Engineering and Computer Science Jurnal Paedagogy Journal of Computer Networks, Architecture and High Performance Computing INSERT: Information System and Emerging Technology Journal Journal of Applied Computer Science and Technology (JACOST) Jnana Karya Kertha Widya : Jurnal Hukum Media Bina Ilmiah Bulletin of Social Informatics Theory and Application Jurnal Kuliner Da'watuna: Journal of Communication and Islamic Broadcasting Jurnal ilmiah teknologi informasi Asia JGGAG (Journal of Games, Game Art, and Gamification)
Gede Indrawan
Universitas Pendidikan Ganesha
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Journal : SINTECH (Science and Information Technology) Journal

 1 
Analisis Kinerja Dan Kualitas Hasil Kompresi Pada Citra Medis Sinar-X Menggunakan Algoritma Huffman, Lempel Ziv Welch Dan Run Length Encoding Anandita, Ida Bagus Gede; Gunadi, I Gede Aris; Indrawan, Gede
SINTECH (Science and Information Technology) Journal Vol 1 No 1 (2018): SINTECH Journal Edisi April 2018
Publisher : LPPM STMIK STIKOM Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (766.28 KB) | DOI: 10.31598/sintechjournal.v1i1.179

Abstract

Technological progress in the medical area made medical images like X-rays stored in digital files. The medical image file is relatively large so that the image needs to be compressed. The lossless compression technique is an image compression where the decompression results are the same as the original or no information lost in the compression process. The existing algorithms on lossless compression techniques are Run Length Encoding (RLE), Huffman, and Lempel Ziv Welch (LZW). This study compared the performance of the three algorithms in compressing medical images. The result of image decompression will be compared to its performance in the objective assessment such as ratio, compression time, MSE (Mean Square Error) and PNSR (Peak Signal to Noise Ratio). MSE and PSNR are used for quantitative image quality measurement for subjective assessment assisted by three experts who will compare the original image with the decompression image. Based on the results obtained from the objective assessment of compression performance of RLE algorithm showed the best performance by yielding ratio, time, MSE and PSNR respectively 86,92%, 3,11ms, 0 and 0db. For Huffman, the results can be 12.26%, 96.94ms, 0, and 0db respectively. While LZW results can be in sequence -63.79%, 160ms, 0.3 and 58.955db. For the results of the subjective assessment, the experts argued that all images can be analyzed well.
KLASIFIKASI MULTILABEL PADA ABSTRAK TUGAS AKHIR MENGGUNAKAN VECTOR SPACE MODEL DAN K-NEAREST NEIGHBORS Indrawan, I Putu Yoga; I Gede Indrawan; I Made Candiasa
SINTECH (Science and Information Technology) Journal Vol 2 No 2 (2019): SINTECH Journal Edition October 2019
Publisher : LPPM STMIK STIKOM Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (649.924 KB) | DOI: 10.31598/sintechjournal.v2i2.292

Abstract

The final project is one of the requirements of graduation students. Students who want to do the final project need to see the final project result on the same topic that has been done before. With a large number of end-task documents, it certainly takes a great effort to find the final project document on the same topic. The final grouping can be automated using the document classification method. The methods that can be used to classify documents are K-Nearest Neighbors as classifier and Vector Space Model to measure the distance between documents From the initial observation, the multilabel classification in the final abstract using Vector Sapce Model and K-Nearest Neighbors has not been evaluated. Because some previous studies have led to the testing of single labels and only lead to one method, as the method is tested. Classification of abstract document final task consists of 2 stages of making distance table using vector space model and multilabel classification using KNN. This method has not been able to predict the label accurately because the exact exact ratio of its optimum value is only 0.57 when m = 4 and k = 8. This method is good enough in predicting the label even though not precisely. Can be seen from the accuracy value of its optimum which is 0.74 when m = 4 and k = 9. The exact match ratio and accuracy value of this method has the optimum value at m = k / 3.
Analisis Kinerja Dan Kualitas Hasil Kompresi Pada Citra Medis Sinar-X Menggunakan Algoritma Huffman, Lempel Ziv Welch Dan Run Length Encoding Ida Bagus Gede Anandita; I Gede Aris Gunadi; Gede Indrawan
SINTECH (Science and Information Technology) Journal Vol. 1 No. 1 (2018): SINTECH Journal Edition April 2018
Publisher : LPPM STMIK STIKOM Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31598/sintechjournal.v1i1.179

Abstract

Technological progress in the medical area made medical images like X-rays stored in digital files. The medical image file is relatively large so that the image needs to be compressed. The lossless compression technique is an image compression where the decompression results are the same as the original or no information lost in the compression process. The existing algorithms on lossless compression techniques are Run Length Encoding (RLE), Huffman, and Lempel Ziv Welch (LZW). This study compared the performance of the three algorithms in compressing medical images. The result of image decompression will be compared to its performance in the objective assessment such as ratio, compression time, MSE (Mean Square Error) and PNSR (Peak Signal to Noise Ratio). MSE and PSNR are used for quantitative image quality measurement for subjective assessment assisted by three experts who will compare the original image with the decompression image. Based on the results obtained from the objective assessment of compression performance of RLE algorithm showed the best performance by yielding ratio, time, MSE and PSNR respectively 86,92%, 3,11ms, 0 and 0db. For Huffman, the results can be 12.26%, 96.94ms, 0, and 0db respectively. While LZW results can be in sequence -63.79%, 160ms, 0.3 and 58.955db. For the results of the subjective assessment, the experts argued that all images can be analyzed well.
KLASIFIKASI MULTILABEL PADA ABSTRAK TUGAS AKHIR MENGGUNAKAN VECTOR SPACE MODEL DAN K-NEAREST NEIGHBORS I Putu Yoga Indrawan; I Gede Indrawan; I Made Candiasa
SINTECH (Science and Information Technology) Journal Vol. 2 No. 2 (2019): SINTECH Journal Edition October 2019
Publisher : LPPM STMIK STIKOM Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31598/sintechjournal.v2i2.292

Abstract

The final project is one of the requirements of graduation students. Students who want to do the final project need to see the final project result on the same topic that has been done before. With a large number of end-task documents, it certainly takes a great effort to find the final project document on the same topic. The final grouping can be automated using the document classification method. The methods that can be used to classify documents are K-Nearest Neighbors as classifier and Vector Space Model to measure the distance between documents From the initial observation, the multilabel classification in the final abstract using Vector Sapce Model and K-Nearest Neighbors has not been evaluated. Because some previous studies have led to the testing of single labels and only lead to one method, as the method is tested. Classification of abstract document final task consists of 2 stages of making distance table using vector space model and multilabel classification using KNN. This method has not been able to predict the label accurately because the exact exact ratio of its optimum value is only 0.57 when m = 4 and k = 8. This method is good enough in predicting the label even though not precisely. Can be seen from the accuracy value of its optimum which is 0.74 when m = 4 and k = 9. The exact match ratio and accuracy value of this method has the optimum value at m = k / 3.
PENGEMBANGAN SISTEM INFORMASI KEMAJUAN AKADEMIK MENGGUNAKAN MODEL INCREMENTAL BERBASIS EVALUASI USABILITY DAN WHITE BOX TESTING I Made Agus Oka Gunawan; Gede Indrawan; Sariyasa Sariyasa
SINTECH (Science and Information Technology) Journal Vol. 4 No. 1 (2021): SINTECH Journal Edition April 2021
Publisher : LPPM STMIK STIKOM Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31598/sintechjournal.v4i1.661

Abstract

This research aims to develop an Academic Progress Information System (SIsKA) in the Computer Science Study Program, Postgraduate Program at Ganesha University of Education. The incremental development model is used in the development of SIsKA. The evaluation stage is carried out using the Focus Group Discussions technique to validate user input for the development stage. Evaluation was carried out on 20 respondents, who were selected using simple random sampling technique from active SIsKA users. Testing of the SIsKA development code is also carried out using White Box Testing. The results of the evaluation of phase 1 and phase 2 of development succeeded in providing recommendations for improvements according to user needs. The evaluation results from phase 3 of development show that SIsKA is in accordance with user needs. The results of the White Box test show that all lecturer page functions are at a simple level. Future development and evaluation can focus on improving the complexity of the 14 functions on the administrator and student pages, as well as analyzing data security related to SIsKA.
Co-Authors Ade Prayoga, I Made Ade Surya Indrawan Aditya, Eka Adnyana, I Putu Iwan Krisna Agus Adiarta,ST,MT . Agustini, Ni Wayan Eva Ahmad Asroni Ahmad Asroni, Ahmad Ambara, Made Anak Agung Candra Widyaningsih Anandita, Ida Bagus Gede Andika, I Gede Anop Sudiatmika Arditaloka, I Wayan Angga Arimbawa, Gusti Putu Arya Arsa, Putu Suka Artayasa, I Kadek Dwi Artha, I Gede Mony Aryani, Wayan Astawa, I Gede Karya Benhard Sitohang Christina Purnama Yanti Cokorda Oka Birawidya Damiati Dananjaya, Md Wira Putra Daniel Eka Saputra Daniel Kevin Alexander Dea Sillviari, Ni Putu Dede Desnantha Putra Denny Nathaniel Chandra Dewa Gede Hendra Divayana, Dewa Gede Hendra Dewi, Ni Wayan Jeri Kusuma Dewi, Suzy Puspita Dhruvayoti Tiirtheshvara Dika Anggara, I Made Diva Palguna Erna Supriathi, Ni Kadek Gede Rasben Dantes Gede Suweken Gemara Adhiyasa Parahita Nugraha Gusti Ngurah Joniartawan Hakimi, Musawer Hendra Trinium Jaya, I Komang Herdiana, I Kayan Hery Heryanto I Gede Andika I Gede Aris Gunadi I Gede Bara Yuda Gautama I Gede Indra Suwardika I Gusti Agung Istri Pradnya Prameswari I Gusti Ngurah Bagus Putra Asmara I Gusti Putu Agung Arka Putra I Kadek Juni Arta I Kadek Wahyu Sudiatmika I Kadek Wihendradinata I Kayan Herdiana I Ketut Paramarta I Ketut Pramarta I Ketut Suja I Komang Adyanata I Komang Deny Supanji I Made Agus Oka Gunawan I Made Agus Widiana Putra I Made Candiasa I Made Edy Listartha I Made Wahyu Dwi Wismayana I Made Windu Segara Kurniawan I N. Jampel I Nyoman Saputra I Nyoman Suarka I Nyoman Sukajaya I Nyoman Sukaraja I Nyoman Triadi Wiguna I Putu Aris Sanjaya I Putu Okta Priyana I Putu Prima Ananda I Putu Yoga Indrawan I W. Widiana I Wayan Adi Wiratama I Wayan Aditya Wiguna I Wayan Dodi Putra Artawan I Wayan Rosiana Ida Ayu Mirah Cahya Dewi Ida Bagus Gede Anandita Ida Bagus Nyoman Wijana Manuaba Ida Bagus Prayoga Bhiantara Ida Putu Ayu Hemy Eka Yani Joniartawan, Gusti Ngurah Juni Arta, I Kadek Juniastra, Made Gde Kadek Enny Rusmala Dewi Kadek Teguh Wahyu Dewantara Kadek Wibawa Kadek Yota Ernanda Aryanto Ketut Agustini Ketut Nila Arta Komang Gde Hendra Kusuma Putra Kurniawan, I Made Windu Segara Kusuma Wardana, Kadek Lemes, I Nyoman Limbong, Kevin Gary Luh Joni Erawati Dewi M.Cs S.Kom I Made Agus Wirawan . M.T. S.T. I Wayan Sutaya . Made Agus Panji Sujaya Made Ambara Made Hery Santosa Made Santo Gitakarma Made Windu Antara Kesiman Made Yuda Sadewa Mahadewi, Luh Putu Putrini Mahadewi, Luh Putu Putrini Moh. Heri Setiawan Muhammad Alwan Nursuhaida Ni Luh Made Uti Tiasmi Ni Made Ayu Juli Astari Ni Made Rai Arini Permatasari Ni Nyoman Harini Puspita Ni Putu Dea Sillviari Ni Putu Ria Anggreni Ni Wayan Jeri Kusuma Dewi Ni Wayan Wardani Nugraha, I Gede Pradipta Adi Nyoman Jampel Nyoman Santiyadnya Palguna, Diva Pande Made Mahendri Pramadewi Pande Putu Ode Juliantara. KW Parahita Nugraha, Gemara Adhiyasa Praja Setiawan Pramadewi, Pande Made Mahendri Pramarta, I Ketut Pranata, Putu Ade Pratama, Putu Aditya Purnama, M. Rokhman Putu Ade Pranata Putu Eka Parianthana Putu Suka Arsa Raditya Pramita, I Putu Agus Ratna Mei Vidya Richo, Rolando Alex Sandhiyasa, I Made Subrata Sanjaya, Kadek Oki Sanjaya, Kadek Oki Saputra, Daniel Eka Sariyasa . seftian rusditya Setemen , Komang Setiawan, Kadek Reda Setiawan, Praja Sogen, Afrianto T.L Sudestra, I Made Ardi Sudiatmika, Anop Sujaya, Made Agus Panji Sukla Mandika, Ketut Gde Sumarno, I Wayan Supanji, I Komang Deny Suparsa, I Made Surata, I Nyoman Susena, I Gede Ardika Suzy Puspita Dewi Taufik Akbar Taufik Akbar Tjahyanti, L.P.A.S Utami, Ni Luh Putu Sri Wardani, Ni Wayan Wayan Andre Pratama Wayan Eka Ariawan Wibawa, Kadek Wiguna, I Kadek Arta Wijaya, Putu Agung Ananta Wikanta, I Made Indra Adhi Wirawan Nathaniel Chandra Yani Yani