Article Per Year (5 Year)
p-Index From 2021 - 2026
6.169
P-Index
This Author published in this journals
All Journal Seminar Nasional Aplikasi Teknologi Informasi (SNATI) JRAK: Jurnal Riset Akuntansi dan Komputerisasi Akuntansi Bulletin of Electrical Engineering and Informatics Jurnal technoscientia Jurnal Teknologi Jurnal Script Jurnal Jarkom Jurnal Online Mahasiswa (JOM) Bidang Teknik dan Sains Brawijaya Law Journal : Journal of Legal Studies Seminar Nasional Informatika (SEMNASIF) Jusikom : Jurnal Sistem Komputer Musirawas Al-Madrasah: Jurnal Ilmiah Pendidikan Madrasah Ibtidaiyah Journal Civics and Social Studies International Journal of Electrical, Energy and Power System Engineering (IJEEPSE) Jurnal Surya Teknika JURNAL TEKNOLOGI TECHNOSCIENTIA Prosiding SNAST Jurnal Manajemen New Language Dimensions Jurnal Akuntansi, Ekonomi dan Manajemen Bisnis Journal of Medical Science; Jurnal Ilmu Medis Rumah Sakit Umum Daerah dr. Zainoel Abidin, Banda Aceh JDEP (Jurnal Dinamika Ekonomi Pembangunan) CEMERLANG :Jurnal Manajemen dan Ekonomi Bisnis Jurnal Atma Inovasia Jurnal Sistim Informasi dan Teknologi NEAR: Jurnal Pengabdian kepada Masyarakat Optimal: Jurnal Ekonomi dan Manajemen Jurnal Pengabdian Masyarakat Kesehatan Jurnal Penelitian Ekonomi Manajemen dan Bisnis Jurnal Pengabdian Kolaborasi dan Inovasi IPTEKS Jurnal Riset Manajemen Jurnal Rekayasa Sistem Informasi dan Teknologi JURNAL MANAJEMEN DAN INVESTASI (MANIVESTASI) Jurnal Ventilator: Jurnal Riset Ilmu Kesehatan dan Keperawatan Nursing Applied Journal Jurnal Geologi dan Sumberdaya Mineral (Journal of Geology and Mineral Resources) Jurnal Inovasi Manajemen, Kewirausahaan, Bisnis dan Digital Jurnal Al-Mubarak: Jurnal Kajian Al-Qur'an dan Tafsir Proceedings Series of Educational Studies Jurnal Teknologi Jnanadharma LEMBARAN PUBLIKASI MINYAK DAN GAS BUMI Jurnal Kajian Ekonomi dan Perbankan Syariah
Amir Hamzah
Institut Sains & Teknologi AKPRIND Yogyakarta
Religion Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mechanical Engineering Medicine & Pharmacology Nursing Physics Public Health Social Sciences Transportation Other

Published : 88 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search
Journal : JURNAL TEKNOLOGI TECHNOSCIENTIA

 1 
EFEK PENAMBAHAN FRASA DALAM FEATURE KATA UNTUK CLUSTERING DOKUMEN TEKS Amir Hamzah
JURNAL TEKNOLOGI TECHNOSCIENTIA Technoscentia Vol 1 No 2 Februari 2009
Publisher : Lembaga Penelitian & Pengabdian Kepada Masyarakat (LPPM), IST AKPRIND Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34151/technoscientia.v1i2.64

Abstract

Text document clustering has been intensively studied because of its important role in text-mining and information retrieval. High dimensionality problem caused by high number of words is always happened in word-based clustering technique using vector space model. Although extracting words in the preprocessing phase is simple, the collection itself can not only be viewed as a set of words but also a set of partly more than one word phrase. Separating a phrase into its parts can eliminate the actual meaning of phrase. Therefore in order to maintain the context of words a phrase must be maintained as a phrase. It is assumed that by adding phrases to words as features in clustering will improve the performance. This paper will study the comparison of word-based and phrase-based clustering. Two clustering models were chosen i.e. hierarchical and partition. Four similarity techniques i.e.: Group Average, Complete Link, Single Link, and Cluster Center were tried for hierarchical, K-Means and Bisecting K-Mean and Buckshot for partition. A document collection from 200-800 news text that has been categorized ma-nually was used to test these algorithms by using F-measure as criteria of clustering performance. This value was derived from Recall and Precision and can be used to measure the performance of the algorithms to correctly classify the collections. Results show that by adding phrases or simply word pair, although it’s still not statistically significant, it slightly improves the performance of clustering.
APLIKASI OPINION MINING DAN SENTIMENT ANALYSIS UNTUK MERANCANG MESIN PENCARI OPINI PADA KUESENER MAHASISWA Amir Hamzah; Naniek Widyastuti
JURNAL TEKNOLOGI TECHNOSCIENTIA Technoscientia Vol 9 No 1 Agustus 2016
Publisher : Lembaga Penelitian & Pengabdian Kepada Masyarakat (LPPM), IST AKPRIND Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34151/technoscientia.v9i1.143

Abstract

The measurement of academic services using questionnaires with multiple choice answers generally provide comments and advice columns. In the data analysis results, comments and suggestions made by the thousands of students can not be utilitized due to the lack of analysis tools. Whereas comments and suggestions can actually contain student opinions on various things, such as facilities, faculty, library and others. Opinion mining and sentiment analysis as a new tool in text mining can be applied to the data to utilitize comments and suggestions. This research applied HMM-POS Tagger to give automatically POS TAG to the sentence based on training POS TAG data by using the Hidden Markov Model. By implementing POS TAG pattern the comments can then be determined whether it was opinion or not. Morever if it were opinion it can be determinied its target and also the orientation of the opinion whether it is positive or negative. The data used was 1,000 comments given POS-TAG manually and 1,000 comments as test data. Sentiment analysis is applied using four methods of classification, namely SVM, NBC, ME and KM-Clustering. The result showed that the accuracy of POS-Tagger was 0.95 and the avarage of accuracy of four classification method was 0.85.
Co-Authors Ade Rizki Purnama Ade Yogi Adhi Susanto Adhi Susanto Afifah Dzuriatun Khasanah Agel, Walid Agusnadi Agusnadi Ahmad Mujahid Ainun Ainun amirhamzah@institutpendidikan.ac.id Andi Kurniawan Andri Perdana Putra Anggreawan - Aprizal Rosadian Ari Budi Noviyanto Ariyana, Renna Yanwastika Asriadi Asriadi Asti Widyaningsih Ayus ahmad Yusuf Basuki Beny Firman Budhi Anto Catur Iswahyudi Catur Iswayudi Dahliyusmanto, Dahliyusmanto Daldir - Dedy Darmawan Dini Suryaningsih Dyah Apriliani Edhy Sutanta (Jurusan Teknik Informatika IST AKPRIND Yogyakarta) Egi Mulyadi Emy Setyaningsih Erfanti Fatkhiyah Erma Susanti Erna Kumalasari Nurnawati Erna Kumalasari Nurnawati Erna Safariyah Erwin Hariyanto Nugroho F. Soesianto F. Soesianto Fauzan Prasetyo Febbi Adha Hardiani Febrianto Ramadhan Firdaus Firmansyah Kusuma, R. Okky Galih Prassantika Utama Gatot Santosa Gatot Santosa, Gatot Gloriansi Umbu Heingu Deta Hadijah Hadijah Hae Isnapoh Maykel Yoseph Hanny Oktariani Hari Rachmadi Haris Dibdyaningsih Hendra Mardika Heri Ihwani Heri Siswanto Heru Susanto Indien Winarwati Indriyani Indriyani Irawan Danismaya Ismail Ismail Istiana Agustika Anandy Iwan Kurniawan Iwan Sukma Gumilar Jazi Eko Istiyanto Jazi Eko Istyanto Kris Suryowati Lia Dwi Martika Lilik Nugroho M Altaf Hidayat M. Rasuhan Fikri MAYA, IRA Mia Lusmiawati Mohammad Sholeh Muchamad Rizal Rinaldi Muhamad Najib Muhamad Taufik Hidayat Muhammad Akbar Muhammad Firdaus Muhammad Sholeh Muhammad Sholeh Muhammad Suyanto Muntaha Nega Mustafa - Naniek Widyastuti Naniek Widyastuti Niken Irawati Putri Novita Istiqomah Nurul Sakdah Oktaviani Rahmita Putri Oktaviani Rita Puspasari Oman Somantri Pidie Wiyanto Prastyono Eko Pambudi R. Ismail Nugroho Akbar Riani - Risang Aji Herlambang Risma Sri Mulyati Robertus Desta Raka Siwi Romy Romy Rr. Yuliana Rachmawati Ryan Akbar Fadhilah Ryvan Sirait Ryzka Rahmawati Shalahuddin Shaleh Shaleh Sholeh, Muhammad Siar Nimah Siti Lestari Sony Cahyo Wibisono Suraya - Suwanto Raharjo Syafi'i, Ahmad Tanty Naomi Siahaan Taufik Maulana Taufiq Abidin Tinezia Arum Cendhani1 UGM) Fakultas Matematika dan Ilmu Pengetahuan Alam Jazi Eko Istiyanto (Jurusan Fisika Uning Lestari Uning Lestari Universitas Gadjah Mada) Fakultas Teknik Adhi Susanto (Jurusan Teknik Elektro Universitas Gadjah Mada) Fakultas Teknik F. Soesianto (Jurusan Teknik Elektro Uswatun Hasanah Virgilius Daton Balamakin Wafikulinnuha - Wafikulinuha Wafikulinuha Wahid Hasim Wahid Hasyim Winantris Winantris Wisnu Widiarto Wisnu Widiarto Yoga Pratama Yohanes Yohanes Yudi Setyawan Yunita Kusumawardani Yusriana Yusriana