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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Jurnal Informatika dCartesian: Jurnal Matematika dan Aplikasi Jurnal Masyarakat Informatika JURNAL SISTEM INFORMASI BISNIS Prosiding KOMMIT Jurnal Sistem Komputer Proceedings of KNASTIK Semantik Jurnal Simetris Jurnal Buana Informatika Elkom: Jurnal Elektronika dan Komputer TELKOMNIKA (Telecommunication Computing Electronics and Control) Journal of Education and Learning (EduLearn) Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI) JREC (Journal of Electrical and Electronics) JSI: Jurnal Sistem Informasi (E-Journal) Jurnal Ilmiah Kursor Telematika : Jurnal Informatika dan Teknologi Informasi Jurnal Teknologi Informasi dan Ilmu Komputer Jurnal Transformatika Jurnas Nasional Teknologi dan Sistem Informasi Khazanah Informatika: Jurnal Ilmu Komputer dan Informatika Register: Jurnal Ilmiah Teknologi Sistem Informasi Jurnal Manajemen Kesehatan Indonesia Sistemasi: Jurnal Sistem Informasi Kelola: Jurnal Manajemen Pendidikan Sinkron : Jurnal dan Penelitian Teknik Informatika AdBispreneur Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Computatio : Journal of Computer Science and Information Systems Jurnal Mercumatika : Jurnal Penelitian Matematika dan Pendidikan Matematika INTEGER: Journal of Information Technology Jurnal Penelitian Pendidikan IPA (JPPIPA) Faktor Exacta Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control INOVTEK Polbeng - Seri Informatika BAREKENG: Jurnal Ilmu Matematika dan Terapan Dinamisia: Jurnal Pengabdian Kepada Masyarakat JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI ILKOM Jurnal Ilmiah Jurnal Manajemen Informasi dan Administrasi Kesehatan Jurnal ULTIMA InfoSys Media Mahardhika J-SAKTI (Jurnal Sains Komputer dan Informatika) JUMANJI (Jurnal Masyarakat Informatika Unjani) Jurnal Informatika Kritis Journal of Humanities and Social Studies Infotronik : Jurnal Teknologi Informasi dan Elektronika Jutisi: Jurnal Ilmiah Teknik Informatika dan Sistem Informasi Journal of Information Systems and Informatics Informatika Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Jurnal Mnemonic JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Frontiers Aiti: Jurnal Teknologi Informasi Journal of Information Technology Ampera JINAV: Journal of Information and Visualization JOINTER : Journal of Informatics Engineering Walisongo Journal of Information Technology Journal of Information Technology (JIfoTech) Community Medicine and Education Journal J-SAKTI (Jurnal Sains Komputer dan Informatika) Jurnal Teknologi Sistem Informasi Jurnal Nasional Teknik Elektro dan Teknologi Informasi Lensa: Jurnal Kependidikan Fisika Nusantara of Engineering (NOE) TAKSONOMI INFORMATION SYSTEM FOR EDUCATORS AND PROFESSIONALS : Journal of Information System Jurnal Manajemen Sistem Informasi d'Cartesian: Jurnal Matematika dan Aplikasi International Journal of Information Technology and Business INOVTEK Polbeng - Seri Informatika JuTISI (Jurnal Teknik Informatika dan Sistem Informasi)
Eko Sediyono
Universitas Kristen Satya Wacana
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Analisis Sentimen Masyarakat terhadap Tindakan Vaksinasi dalam Upaya Mengatasi Pandemi Covid-19 Brian Laurensz; Eko Sediyono
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 10 No 2: Mei 2021
Publisher : Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1098.92 KB) | DOI: 10.22146/jnteti.v10i2.1421

Abstract

Coronavirus has become a global pandemic and has spread almost all over the world, including Indonesia. Many negative impacts resulted from the spread of COVID-19 in Indonesia, so the government made vaccination measures to reduce the rate of spread of COVID-19. Responses from the public to vaccination measures are quite diverse on social media Twitter. Some are supportive and some disagree. The purpose of this study is to find out how people's sentiment towards vaccination measures. The data used 845 tweets, using two keywords, "vaksinmerahputih" and "vaksinsinovac." The data is then divided into 253 training data and 592 testing data. The classification will use the SVM and Naïve Bayes methods. The classification result of the Naïve Bayes method received an average accuracy of 85.59%, while SMV of 84.41%. Sentiment results on Naïve Bayes method with keyword "vaksinsinovac" gets positive sentiment of 66% and negative sentiment of 34%, while "vaksinmerahputih" obtains 89% and 11% for positive and negative sentiment, respectively. SVM method with keyword "vaksinsinovac" gets 96% positive and 4% negative, while "vaksinmerahputih" obtains 98% positive and 2% negative. It can be concluded that the results of public sentiment towards vaccination measures received a positive response.
Evaluation of Acceptance of Non-Communicable Disease Information System Applications Based on User Experience Indah Naryanti; Farid Agushybana; Eko Sediyono; Cahya Tri Purnami; Aris Puji Widodo
Community Medicine and Education Journal Vol. 3 No. 2 (2022): Community Medicine and Education Journal
Publisher : HM Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37275/cmej.v3i2.222

Abstract

The mortality rate due to non-communicable diseases (PTM) in Indonesia is higher than the global death rate. The non-communicable disease information system (SI-PTM) was created to assist programmers in facilitating their work. This study aims to evaluate the acceptance of the information system needed to determine the user's desire to use the SI-PTM. This research is an observational study. Respondents in this study were Semarang City Health Center officers who were appointed as operators of the non-communicable disease information system (SI-PTM). Data were collected using a questionnaire containing the technology acceptance model (TAM) indicators. This analysis aims to describe user acceptance of SI-PTM as well as maturity level using TAM indicators, namely perceptions of usefulness, perceived convenience, attitudes, and intentions to use information systems. In conclusion, the majority of respondents stated that non-communicable disease information systems provide benefits in facilitating reporting and monitoring of non-communicable disease cases in the city of Semarang.
Evaluation of Acceptance of Non-Communicable Disease Information System Applications Based on User Experience Indah Naryanti; Farid Agushybana; Eko Sediyono; Cahya Tri Purnami; Aris Puji Widodo
Community Medicine and Education Journal Vol. 3 No. 2 (2022): Community Medicine and Education Journal
Publisher : HM Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37275/cmej.v3i2.222

Abstract

The mortality rate due to non-communicable diseases (PTM) in Indonesia is higher than the global death rate. The non-communicable disease information system (SI-PTM) was created to assist programmers in facilitating their work. This study aims to evaluate the acceptance of the information system needed to determine the user's desire to use the SI-PTM. This research is an observational study. Respondents in this study were Semarang City Health Center officers who were appointed as operators of the non-communicable disease information system (SI-PTM). Data were collected using a questionnaire containing the technology acceptance model (TAM) indicators. This analysis aims to describe user acceptance of SI-PTM as well as maturity level using TAM indicators, namely perceptions of usefulness, perceived convenience, attitudes, and intentions to use information systems. In conclusion, the majority of respondents stated that non-communicable disease information systems provide benefits in facilitating reporting and monitoring of non-communicable disease cases in the city of Semarang.
Evaluation of Acceptance of Non-Communicable Disease Information System Applications Based on User Experience Indah Naryanti; Farid Agushybana; Eko Sediyono; Cahya Tri Purnami; Aris Puji Widodo
Community Medicine and Education Journal Vol. 3 No. 2 (2022): Community Medicine and Education Journal
Publisher : HM Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37275/cmej.v3i2.222

Abstract

The mortality rate due to non-communicable diseases (PTM) in Indonesia is higher than the global death rate. The non-communicable disease information system (SI-PTM) was created to assist programmers in facilitating their work. This study aims to evaluate the acceptance of the information system needed to determine the user's desire to use the SI-PTM. This research is an observational study. Respondents in this study were Semarang City Health Center officers who were appointed as operators of the non-communicable disease information system (SI-PTM). Data were collected using a questionnaire containing the technology acceptance model (TAM) indicators. This analysis aims to describe user acceptance of SI-PTM as well as maturity level using TAM indicators, namely perceptions of usefulness, perceived convenience, attitudes, and intentions to use information systems. In conclusion, the majority of respondents stated that non-communicable disease information systems provide benefits in facilitating reporting and monitoring of non-communicable disease cases in the city of Semarang.
Evaluation of Acceptance of Non-Communicable Disease Information System Applications Based on User Experience Indah Naryanti; Farid Agushybana; Eko Sediyono; Cahya Tri Purnami; Aris Puji Widodo
Community Medicine and Education Journal Vol. 3 No. 2 (2022): Community Medicine and Education Journal
Publisher : HM Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37275/cmej.v3i2.222

Abstract

The mortality rate due to non-communicable diseases (PTM) in Indonesia is higher than the global death rate. The non-communicable disease information system (SI-PTM) was created to assist programmers in facilitating their work. This study aims to evaluate the acceptance of the information system needed to determine the user's desire to use the SI-PTM. This research is an observational study. Respondents in this study were Semarang City Health Center officers who were appointed as operators of the non-communicable disease information system (SI-PTM). Data were collected using a questionnaire containing the technology acceptance model (TAM) indicators. This analysis aims to describe user acceptance of SI-PTM as well as maturity level using TAM indicators, namely perceptions of usefulness, perceived convenience, attitudes, and intentions to use information systems. In conclusion, the majority of respondents stated that non-communicable disease information systems provide benefits in facilitating reporting and monitoring of non-communicable disease cases in the city of Semarang.
Evaluation of Acceptance of Non-Communicable Disease Information System Applications Based on User Experience Indah Naryanti; Farid Agushybana; Eko Sediyono; Cahya Tri Purnami; Aris Puji Widodo
Community Medicine and Education Journal Vol. 3 No. 2 (2022): Community Medicine and Education Journal
Publisher : HM Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37275/cmej.v3i2.222

Abstract

The mortality rate due to non-communicable diseases (PTM) in Indonesia is higher than the global death rate. The non-communicable disease information system (SI-PTM) was created to assist programmers in facilitating their work. This study aims to evaluate the acceptance of the information system needed to determine the user's desire to use the SI-PTM. This research is an observational study. Respondents in this study were Semarang City Health Center officers who were appointed as operators of the non-communicable disease information system (SI-PTM). Data were collected using a questionnaire containing the technology acceptance model (TAM) indicators. This analysis aims to describe user acceptance of SI-PTM as well as maturity level using TAM indicators, namely perceptions of usefulness, perceived convenience, attitudes, and intentions to use information systems. In conclusion, the majority of respondents stated that non-communicable disease information systems provide benefits in facilitating reporting and monitoring of non-communicable disease cases in the city of Semarang.
Analisis dan Perancangan Sistem Informasi Manajemen Aset Rumah Sakit Berbasis Spatial Feibe Lawalata; Eko Sediyono
JUMANJI (Jurnal Masyarakat Informatika Unjani) Vol 3 No 02 (2019): Jurnal Masyarakat Informatika Unjani
Publisher : Jurusan Informatika Universitas Jenderal Achmad Yani

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (260.028 KB) | DOI: 10.26874/jumanji.v3i02.62

Abstract

Pengelolaan aset di rumah sakit merupakan hal yang penting untuk dilakukan demi keberlangsungan dan peningkatan kualitas pelayanan dari rumah sakit tersebut. Pengelolaan aset dapat berupa pencatatan, perawatan, hingga pengelolaan lebih lanjut. Pencatatan informasi aset yang dimiliki oleh rumah sakit sangat penting untuk dilakukan, dengan adanya informasi yang didapat dari pencatatan data aset maka rumah sakit akan dapat mengetahui secara pasti aset apa saja dan berapa tepatnya jumlah aset yang dimiliki oleh rumah sakit. Sistem informasi ini akan dibuat dengan mengunakan GIS dan akan diolah dengan Quantum GIS ditampilkan menggunakan Web yang berbasis GIS. Dengan Web-GIS yang di bangun ini, akan lebih membantu rumah sakit dalam pengelolaan aset dimasa yang akan datang.
Klasifikasi Sidik Jari dengan Menggunakan Metode Wavelet Symlet Eko Sediyono; Yessica Nataliani; Chrisanty Mariana Rorimpandey
Jurnal Informatika Vol 5, No 2 (2009): Jurnal Informatika
Publisher : Universitas Kristen Duta Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (541.771 KB) | DOI: 10.21460/inf.2009.52.77

Abstract

Penelitian ini menjelaskan tentang sistem klasifikasi sidik jari manusia menggunakan metode wavelet. Klasifikasi ini dikembangkan berdasar jenis pola utama dari sidik jari manusia. Jika ditemukan ada sidik jari manusia diluar dari jenis tersebut, maka jenis tersebut tidak akan diproses. Pada saat pertama gambar akan diproses dengan menggunakan transformasi wavelet. Transformasi wavelet dapat memberikan multiresolusi dari gambar nyata. Transformasi wavelet juga digunakan sebagai metode ekstraksi karakteristik dan mengurangi dimensi gambar input. Gambar yang telah dikurangi akan proses ke dalam klasifikasi sidik jari. Sidik jari yang menjadi masukan ke dalam klasifikasi pola utama, antara lain: Whorl, Arch, Tented Arch, Right Loop, dan Left Loop.
Evaluasi Kinerja Pembelajaran Learning Management System Menggunakan COBIT 4.1 pada Universitas STEKOM Semarang Haikal Nur Rachmanrachim Achaqie; Eko Sediyono; Sri Yulianto Joko Prasetyo
Elkom : Jurnal Elektronika dan Komputer Vol 15 No 1 (2022): Juli : Jurnal Elektronika dan Komputer
Publisher : STEKOM PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/elkom.v15i1.788

Abstract

Universitas Ilmu Komputer dan Teknologi (STEKOM University) telah menggunakan Learning Management System (LMS) sejak tahun 2018, namun hingga saat ini pengukuran kinerja Learning Management System (LMS) belum dilakukan. Penelitian ini bertujuan untuk mengukur tingkat kematangan Learning Management System (LMS) dengan menggunakan Framework COBIT 4.1 pada domain Delivery and Support (DS) dan Monitoring and Evaluation (ME). Nilai tingkat kematangan pada kondisi eksisting berada pada level rata-rata 2, sedangkan kondisi yang ingin dicapai berada pada level rata-rata 3. Untuk mencapai level yang diharapkan, saran perbaikan mengacu pada Kerangka COBIT 4.1 perlu yang akan diberikan antara lain: pembuatan SOP (Standar Operasional dan Prosedur) LMS, kelengkapan isi LMS, tertib administrasi dokumentasi arsip penting, realisasi pelatihan LMS bagi dosen, alokasi biaya pemeliharaan dan pengujian sistem, penerapan reward and punishment, pembuatan dan penggunaan framework dan E governance - Pembelajaran dan semuanya dilakukan secara rutin minimal setiap 6 bulan sekali.
Identifikasi Citra Untuk Mengidentifikasi Jenis Daging Sapi Menggunakan Transformasi Wavelet Haar Kiswanto Kiswanto; Eko Sediyono; Suhartono Suhartono
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 1, No 2 (2011): Volume 1 Nomor 2 Tahun 2011
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (718.603 KB) | DOI: 10.21456/vol1iss2pp73-79

Abstract

In this research, conducted research on the identification of the image to  identify the type of ground beef using the Haar wavelet transform. The study was intended To check the performance of Haar wavelet in identifying the types of beef. The process  of  image  processing  is  done  by  calculating  the  value  of  R,  G  and  B  in  each  image  of  the  meat,  then  do  the normalization process to get the index value of R, G and the index B index and do the conversion from RGB to a model of HSI models to get the magnitude of the hue, saturation and intensity. The resulting value of the image processing used as input parameter verification program. The highest accuracy produced by the Haar wavelet is 80% on the kind of fresh beef, fresh frozen beef, beef rotten, rotten dried beef, while the lowest accuracy was 0% for frozen beef rotten.Keywords: Identification; Haar Wavelet Transformation
Co-Authors Ade Iriani Adenia Kusuma Dayanthi Adi Setiawan Adi Setiawan Adian Fatchurrohim Adila Safitri Adiyono, Soni Agus Priyadi Agus Subhan Akbar, Agus Subhan Agustinus Raharjo Ahmad Nuzulia Rahman Ahmad Zamsuri, Ahmad Aldian Umbu Tamu Ama Aldian Umbu Tamu Ama Aldri Frinaldi Alvianto, Muhammad Nur Hendra Anak Agung Gede Sugianthara Andi Kristanto Andika, Awan Pijar Andry Ananda Putra Tanggu Mara Andry Tanggu Mara Angela Atik Setiyanti Anna Simatauw Anthony Anthony Antonius Oko Pranoto Anwar S Ardjo Anwar S. Ardjo Anwar S. Ardjo, Anwar S. April Lia Hananto Ardaneswari, Awanda Ardjo, Anwar S Arief Andriono Arief Andriono, Arief Ariel Kristianto Aries Dwi Indriyanti, Aries Dwi Aris Puji Widodo Aris Puji Widodo Aris Puji Widodo Aris Puji Widodo Aris Puji Widodo Aris Puji Widodo Aris Puji Widodo Atik Mawarni Aulia Oktaviana Avin Wimar Budyastomo Aviv Yuniar Rahman Awanda Ardaneswari Batawi, Rymond N. Bayu Surarso Brian Laurensz Brilliananta Radix Dewana Budhi Kristianto Cahya Tri Purnami Cahyaningtyas, Christian Catur Edi Widodo Chrisanty Mariana Rorimpandey Christanto, Henoch Juli Christian Lilik HS Nivak Dahur, Arnoldus Janssen Damayanti, Elok Daniel HF Manongga Daniel Riano Kaparang Danny Manongga Danny Sebastian David Setia Darmawan Defitroh Chen Sami'un Devianto, Yudo Dewana, Brilliananta Radix Dharmaputra Palekahelu Dian Puspitadewi Kristyaningtyas Dinda Ayu Aprilia Dio Febrilian Tanjung Doni Wiryadinata Dwi Adityas Rarasati Dwi Mustika Kusumawardani, Dwi Mustika Dwi Setiawan Edna Maria, Edna Edwanda Arisandy Eko Nur Hermansyah Esti Zakia Darojat Evi Maria Faidul Jihad, Fikri Faqih, Haikal Farid Farid Agushybana Feibe Lawalata Ferdian Aditya Pratama Fian Yulio Santoso Fikri Faidul Jihad Fikri Faidul Jihad Firdaus Dwi Prasetyo Firdaus Dwi Prasetyo, Firdaus Dwi Fitra Nur Asri, Muh Florentina Tatrin Kurniati Gatot Sasongko Gilang Muhamad Noer Gregorius Anung Hanindito Gudiato, Candra Haidar Shiddiqramzy Haikal Haikal Haikal Haikal Haikal Nur Rachmanrachim Achaqie Haikal Nur Rachmanrachim Achaqie Hakim, M. Iman Nur Hanif Prasetyo bhakti Adi Nugroho Hany Makaruku, Yulian haryo kusumo Hendry Hertanto Mulianto Hery Santono Hetharie, Renee Yosua Hindriyanto Dwi Purnomo Huda, Baenil Humami, Faris Ilham Akbar Sodik Illyin Almeito Imaniar Sevtiyani Irwan Sembiring Jemaictry Tamaela Johan Jimmy Carter Tambotoh Julce Adiana Sidette, Julce Adiana Jutono Gondohanindijo Juwita Artanti Kusumaningtyas Kartika Imam Santoso Kevin Mikhail Tulenan Kiswanto Kiswanto Kristoko Dwi Hartomo Kristyaningtyas, Dian P. Kuncoro, Wreda Agung Kusumaningtyas, Juwita Artanti Laksamana Rajendra Haidar Latupeirissa, Ariyanto Lawang, Robert M.Z. Leo Candra Gunawan Wicaksono Leonardo Refialy Leonardo Refialy, Leonardo Lili Rusdiana, Lili M., Maria Magdalena Maipauw, Musa Marsel Malioy, Rimes Jopmorestho Manongga, Daniel HF Maria Magdalena Martini Martini Martza Merry Swastikasari MARWATA, MARWATA Matheus Supriyanto Rumetna Mayestika, Anastasia Kezia Beatrix Melissa Modok Merrryana Lestari Merryana Lestari Michael Elyas Ernawan Moh. Hasyimi Muay, Nikson Theys Muhammad Ikhsan Muhammad Nur Hendra Alvianto N.A. Miftahul Huda N.A. Miftahul Huda, N.A. Miftahul Nabiel Putra Adam Nabiel Putra Adam, Nabiel Putra Ni’mah Akbar Habibie Nofiyati Nofiyati, Nofiyati Nurjazuli Nurjazuli Nurjazuli Nuzhah Al Waaidhoh Oky Dwi Nurhayati Onesimus Joumaran Usior P Purwanto P, Sri Yulianto Joko Panja, Eben Paryono, Tukino Penison Wenda Perdana, Adam Bagus Ponco Yuniarto Pranoto, Antonius Oko Pratama, Ferdian Aditya Pratindy, Raka Prisilia Talakua Priyadi Priyadi Pusaka, Semerdanta Putri Gloria Qurotul Aini Rachardian, Seprima Raden Mohamad Herdian Bhakti Rahmat Gernowo Rahmatika, Yuni Ramanda, Febri Renee Yosua Hetharie Reni Murnita Retno Setya Anggraeni Richi Eka Yanti Rohmad Abidin Romadhon, Zainur Romauli Basaria Romy Aziz Risaldi Ronny Julians, Adhe Roy Rudolf Huizen Ryo Pambudi Saian, Septovan Dwi Suputra Santoso, Fian Yulio Santoso, Nuke Puji Lestari Satriyo Satriyo Sausan Hidayah Nova Sekarlangit Sekarlangit Septovan Dwi Suputra Saian Setiawan, Santo Sholikin, Muhammad Siti Shofiah Slamet Widodo Sodik, Ilham Akbar Solly Aryza Sri Achadi Nugraheni Sri Ngudi Wahyuni, Sri Ngudi Sri Yulianto Sri Yulianto Joko P Sri Yulianto Joko Prasetyo Stephen Aprius Sutresno, Stephen Aprius Suci Larasati Suhartono Suhartono Suharyadi Surarso Bayu Susanti, Novita Dewi Swastikasari, Martza Merry Talakua, Prisilia Tamaela, Jemaictry Teguh Wahyono Theo Pradikta Theofani, Gracia Tintien Koerniawati Tirsa Ninia Lina Tjokra, Cindy Vanesya Tri Wahyuningsih Trisna Wonda Trisna Wonda, Trisna Tulenan, Kevin Mikhail Tundjung Mahatma Untung Rahardja Viera Juniver Thenu Vina Chovan Epifania Wardoyono, Hengky Wicaksono, Januar Agung Widi, Anugerah Yakobus Kevin Dean Prasetyo Yayi Suryo Prabandari Yerik Afrianto Singgalen Yessica Nataliani Yonathan Saputra Yulian Hany Makaruku Yuliarman Saragih Zainal Arifin Hasibuan Zati Hulwani Zati, Hulwani Zukhruf, Afriza Meigi