Article Per Year (5 Year)
p-Index From 2021 - 2026
14.614
P-Index
This Author published in this journals
All Journal International Journal of Electrical and Computer Engineering Elektron Jurnal Ilmiah TELKOMNIKA (Telecommunication Computing Electronics and Control) Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI) Explore: Jurnal Sistem Informasi dan Telematika (Telekomunikasi, Multimedia dan Informatika) SITEKIN: Jurnal Sains, Teknologi dan Industri Riau Journal of Computer Science JOIV : International Journal on Informatics Visualization Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Jurnal Komputer Terapan Jurnal Mantik Penusa Rang Teknik Journal Digital Zone: Jurnal Teknologi Informasi dan Komunikasi JURTEKSI Jurnal Teknologi Informasi dan Pendidikan Systematics Jurnal Teknologi Dan Sistem Informasi Bisnis Jurnal Sistem informasi dan informatika (SIMIKA) Jurnal Sistim Informasi dan Teknologi Jurnal Informasi dan Teknologi Jurnal Informatika Ekonomi Bisnis Journal of Applied Engineering and Technological Science (JAETS) JSR : Jaringan Sistem Informasi Robotik Jurnal Teknik Informatika C.I.T. Medicom Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Journal of Applied Data Sciences Jurnal Computer Science and Information Technology (CoSciTech) Journal of Computer Scine and Information Technology Bulletin of Computer Science Research Jurnal Teknoif Teknik Informatika Institut Teknologi Padang Jurnal Komtekinfo Jurnal Sistim Informasi dan Teknologi Innovative: Journal Of Social Science Research Jurnal Informatika Ekonomi Bisnis RJOCS (Riau Journal of Computer Science) Jurnal Elektronika dan Teknik Informatika Terapan Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen)
Gunadi Widi Nurcahyo
Universitas Putra Indonesia YPTK Padang
Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Public Health Other

Published : 174 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 174 Documents
Search

 13   14   15   16   17 
SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN MAHASISWA BERPRESTASI MENGGUNAKAN METODE PROMETHEE (STUDI KASUS DI FAKULTAS ILMU KOMPUTER UNIVERSITAS PASIR PENGARAIAN ) Idir, Idir Fitriyanto; Gunadi Widi Nurcahyo; Yuhandri
RJOCS (Riau Journal of Computer Science) Vol. 9 No. 1 (2023): RJOCS (Riau Journal of Computer Science)
Publisher : Fakultas Ilmu Komputer, Universitas Pasir Pengaraian

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30606/rjocs.v9i1.1771

Abstract

Permasalahan dalam kompetensi pemilihan mahasiswa berprestasi di Fakultas Ilmu Komputer Universitas Pasir Pengaraian setiap tahunnya yaitu sulitnya para tim dosen untuk mengambil sebuah keputusan dalam memilih mahasiswa berprestasi berdasarkan kemampuan mahasiswa masing-masing. Dengan memilih sistem pendukung keputusan menggunakan metode promethee, tim dosen menjadi tidak sulit untuk mengambil keputusan dalam memilih mahasiswa berprestasi berdasarkan kriteria yang ada. Metode yang akan digunakan metode promethe yang sederhana melalui proses perhitungan dan analisis yang baik untuk membantu dalam pemilihan mahasiswa berprestasi di Fakultas Ilmu Komputer. Sistem dirancang menggunakan pemograman PHP dan Database MySQL. Kata kunci: SPK, Pemilihan Mahasiswa Berprestasi,Promethee
PENERAPAN METODE PROFILE MATCHING DALAM PENEMPATAN PRAKTIK KERJA INDUSTRI BAGI SISWA (STUDI KASUS DI SMKN 4 KOTA BENGKULU) Asyhari, Ahmad; Gunadi Widi Nurcahyo; Yuyu, Yuhandri
RJOCS (Riau Journal of Computer Science) Vol. 9 No. 2 (2023): RJOCS (Riau Journal of Computer Science)
Publisher : Fakultas Ilmu Komputer, Universitas Pasir Pengaraian

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30606/rjocs.v9i2.1779

Abstract

Penempatan Praktik Kerja Industri (PRAKERIN) merupakan bagian penting dalam sistem pendidikan vokasi di Indonesia. Namun, seringkali siswa mengalami kesulitan dalam menemukan tempat PRAKERIN yang sesuai dengan minat dan kemampuan mereka. Oleh karena itu, penelitian ini bertujuan untuk menerapkan metode Profile Matching dalam penempatan PRAKERIN bagi siswa SMKN 4 Kota Bengkulu. Metode Profile Matching digunakan untuk menghubungkan profil siswa dengan profil perusahaan atau tempat PRAKERIN. Penelitian ini menggunakan pendekatan kuantitatif dengan metode survei dan wawancara terstruktur kepada siswa dan pihak perusahaan atau tempat PRAKERIN yang bekerjasama dengan SMKN 4 Kota Bengkulu. Hasil penelitian menunjukkan bahwa metode Profile Matching efektif dalam membantu siswa menemukan tempat PRAKERIN yang sesuai dengan minat dan kemampuan mereka. Dalam penelitian ini, ditemukan bahwa 80% siswa mendapatkan tempat PRAKERIN yang sesuai dengan profil mereka. Selain itu, metode Profile Matching juga membantu perusahaan atau tempat PRAKERIN dalam memilih siswa yang sesuai dengan kebutuhan mereka. Penelitian ini memberikan manfaat praktis bagi siswa, sekolah, dan perusahaan atau tempat PRAKERIN. Siswa dapat menemukan tempat PRAKERIN yang sesuai dengan minat dan kemampuan mereka, sehingga mereka dapat memperoleh pengalaman yang lebih baik selama PRAKERIN. Sekolah dapat memperoleh informasi tentang profil siswa dan perusahaan atau tempat PRAKERIN, sehingga dapat meningkatkan kualitas penempatan PRAKERIN di masa depan. Perusahaan atau tempat PRAKERIN dapat memperoleh siswa yang sesuai dengan kebutuhan mereka, sehingga dapat meningkatkan kualitas PRAKERIN yang mereka berikan. Kata Kunci: Profile Matching, Penempatan PRAKERIN, Siswa, SMKN 4 Kota Bengkulu, Survei, Wawancara terstruktur.
Prediksi Kepuasan Pelanggan dengan Algoritma Rough Set Breinda, Engla; Defit, Sarjon; Nurcahyo, Gunadi Widi
Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Vol 9, No 1 (2024): Edisi Februari
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/jurasik.v9i1.735

Abstract

Bukittinggi, located in West Sumatra Province, hosts approximately 25 computer shops scattered across its various areas. Statistics reveal a proportional distribution of one computer shop per square kilometer within the city limits, intensifying the competition among these establishments. The primary objective of this study is to assess customer satisfaction using the Rough Set Method. Maintaining high levels of customer satisfaction is crucial as it often leads to repeat purchases. The Rough Set Method, renowned for its effectiveness in Knowledge Discovery in Databases (KDD), comprises five key stages: Decision System, Equivalence Class, Discernibility Matrix, Discernibility Matrix Modulo D, Reduction, and General Rule. The dataset utilized in this research originates from HBC Computer Shop in Bukittinggi, comprising records of 96 customers. Through the analysis, a total of 257 rules were generated, facilitating the identification of customer satisfaction levels. Consequently, the findings of this study can serve as valuable insights for HBC Computer Store management in devising marketing strategies to uphold customer satisfaction and effectively compete with similar businesses.
Backpropagation Neural Network Untuk Prediksi Kebutuhan Pemakaian Obat (Kasus Di RSUD dr. Adnaan WD) Hazlita, H; Defit, Sarjon; Nurcahyo, Gunadi Widi
Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Vol 9, No 1 (2024): Edisi Februari
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/jurasik.v9i1.736

Abstract

Artificial Intelligence which is developing increasingly rapidly makes it possible to make predictions. Predictions are made using one of the Artificial Intelligence systems, namely Artificial Neural Networks. Predicting the need for drug use is a problem currently being faced by RSUD dr. Adnaan WD Payakumbuh so that the service is not optimal. This research aims to design an Artificial Neural Network architecture and determine the resulting level of accuracy in predicting the need for drug use. The method used in this research is the Backpropagation method. The stages in the Backpropagation algorithm include the initial weight initialization process, activation stage, weight change and iteration stage. The data processed in this research is drug use data obtained from the Pharmacy Installation at dr. Adnaan WD Payakumbuh Hospital. The results of this research show that the best network architecture is 12-12-1 with a relatively small Mean Squared Error (MSE) value of 0.00685, a Mean Absolute Percentage Error (MAPE) value of 0.1696% and a high level of accuracy reaching 99 .83% for the prediction of Paracetamol 150 mg. The results of this research can help health service centers optimize their services
Penerapan Metode Simple Additive Weighting (SAW) Dalam Mengelompokkan Kualitas Kacang Kedelai Di Rumah Tempe A-Zaki Padang Nissa, Ika Ima; Yuhandri, Y; Nurcahyo, Gunadi Widi
Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Vol 9, No 1 (2024): Edisi Februari
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/jurasik.v9i1.737

Abstract

Soybeans are a legume that has quite high protein levels. This Decision Support System uses the Simple Additive Weighting (SAW) method. This method has seven stages, namely determining the criteria and criteria weight values, determining the suitability rating of each alternative for each criterion, determining the normalization value and weight attribute, determining the decision matrix, determining the normalized matrix value, calculating the matrix by adding up the respective criteria matrices, alternatively do Ranking. The data processed in this research comes from Rumah Tempe A-Zaki Padang. The data consists of 4 alternatives, namely green soybeans, yellow soybeans, black soybeans, brown soybeans with 5 assessment criteria, namely color, texture, cost, aroma, taste which are used to apply the Simple Additive Weighting (SAW) method. The results of this research are that green soybeans have the highest value with a yield of 0.8525, yellow soybeans with a yield of 0.755, brown soybeans with a yield of 0.6345 and the lowest value with a yield of 0.6275. Therefore, the Decision Support System designed can help increase accuracy in determining the quality of soybeans using the Simple Additive Weighting (SAW) method and provide information for Rumah Tempe A-Zaki Padang in making decisions regarding the best quality of soybeans.
Penerapan Metode TOPSIS Untuk Pemberian Bantuan Bedah Rumah Di Nagari Lunang Selatan Fitriyani, Intan Nur; Defit, Sarjon; Nurcahyo, Gunadi Widi
Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Vol 9, No 1 (2024): Edisi Februari
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/jurasik.v9i1.738

Abstract

Indonesian government seeks to improve people's welfare by holding various poverty reduction programs, one of which is providing assistance to uninhabitable houses (RTLH). Equitable development of the welfare of Indonesian society must be comprehensive and even, starting from the smallest scope, namely the village. One of the villages in Indonesia that has implemented a program to provide assistance for uninhabitable houses is Nagari Lunang Selatan which is located in Lunang sub-district, Pesisir Selatan Regency, West Sumatra Province. The implementation of the uninhabitable housing assistance program in Nagari Lunang Selatan has so far still used a manual system so it is not effective because the final results are not objective. There are 5 criteria and 10 alternatives as sample data used in this research. These criteria include the number of dependents, total expenses, total income, land ownership status, and condition of the house. For this reason, this research provides a solution by implementing a decision support system for providing assistance for uninhabitable housing using the Technique For Order of Preference by Similarity to Ideal Solution method, known as TOPSIS, the TOPSIS method is suitable for solving semi-structural problems such as the problem of providing assistance for inadequate housing. inhabit. The aim of this research is to produce a system that can facilitate decision making regarding providing assistance for uninhabitable housing. The results obtained from the test calculation process on sample data of 10 alternatives with 5 criteria provide accurate results. From this test, the results obtained for 3 alternatives as recipients of house renovation assistance
Penerapan Metode AHP-TOPSIS Dalam Pemilihan Siswa Berprestasi Di SMAN 1 Dumai Suri, Melati Rahma; Nurcahyo, Gunadi Widi; Hendrik, Billy
Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Vol 9, No 1 (2024): Edisi Februari
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/jurasik.v9i1.734

Abstract

The system used by schools in selecting outstanding students is still calculated manually, making it prone to errors in calculating the selection of outstanding students. Therefore, a new system is needed, namely a decision support system for selecting outstanding students. The aim of this research is to produce a system for determining students who have the right to enter superior classes. In this study, data from 73 grade 11 students was used using the AHP-TOPSIS combination method. In this research, there are two additional criteria, namely interview scores and psychological scores. The addition of these two criteria is because to enter the superior class you not only have to be outstanding but also have strong interpersonal skills. The results provided by testing 73 student data manually and system testing gave a difference of 24% for the superior class of Mathematics and Natural Sciences and 16% for the superior class of Social Sciences where there were 6 students in the Mathematics and Natural Sciences class and 4 students in the Social Sciences class who were entitled to enter the superior class. but there are no results provided by the old system. The differences produced by the new system and also two additional criteria are able to provide better results in determining outstanding students.
Prediksi Penjualan Sepeda Motor Yamaha dengan Jaringan Syaraf Tiruan dan Backpropagation (Studi Kasus: CV Sinar Mas) Santriawan, Aji; Gunadi Widi Nurcahyo; Billy Hendrik
Computer Science and Information Technology Vol 5 No 1 (2024): Jurnal Computer Science and Information Technology (CoSciTech)
Publisher : Universitas Muhammadiyah Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37859/coscitech.v5i1.6709

Abstract

Perkembangan teknologi yang begitu pesat dengan kebutuhan masyarakat tentang kendaraan pribadi untuk mempermudah segala aktivitas sehari-hari. Pertumbuhan penduduk Indonesia yang meningkat juga mempengaruhi bertambahnya jumlah kendaraan bermotor yang ada di Indonesia. Sepeda Motor Yamaha merupakan salah satu brand sepeda motor yang telah lama berada di Indonesia. Oleh karena itu konsumen menggunakan sepeda motor saat ini sangatlah tinggi. Dengan peningkatan penjualan dan minat masyarakat terhadap sepeda motor untuk tahun berikutnya. Masalah yang terjadi pada CV Sinar Mas adalah tidak ada metode untuk memprediksi bagaimana kecenderungan peningkatan/penurunan jumlah unit tertentu setiap tahun. Sehinggan dengan Jaringan Syaraf Tiruan menggunakan metode Backpropagation dengan Software Matlab dapat menjadi data prediksi penjualan sepeda motor di bulan berikutnya atau yang akan datang. Penelitian ini bertujuan untuk meningkatkan akurasi penjualan sepeda motor Yamaha pada Cv Sinar Mas. Metode yang digunakan dalam penelitian ini adalah Jaringan Saraf Tiruan Backpropagation. Algoritma Backpropagation digunakan untuk memprediksi dengan akurat berdasarkan data historis penjualan sepeda motor Yamaha dari tahun 2019-2022. Dataset yang digunakan terdiri dari 48 data penjualan. Hasil penelitian ini dapat memprediksi penjualan dengan menggunakan pola terbaik yaitu 4-25-1 dengan hasil MSE 0.00010594. Oleh karena itu penelitian ini dapat menjadi acuan untuk mempredisi penjualan sepeda motor Yamaha pada CV Sinar Mas
Penerapan Metode Fuzzy Logic Dalam Sistem Pemantauan Tanaman Berbasis Internet Of Things (Iot) Dengan Arduino sabil, Muhammad; Sarjon Defit; Gunadi Widi Nurcahyo
Computer Science and Information Technology Vol 5 No 1 (2024): Jurnal Computer Science and Information Technology (CoSciTech)
Publisher : Universitas Muhammadiyah Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37859/coscitech.v5i1.6710

Abstract

Hydroponic plants in this increasingly modern era, people are increasingly aware that their vegetable needs must be met so that the body's nutritional balance can be met properly. One of the Urban Farming that is suitable in urban areas with narrow dominant land is the hydroponic system. Hydroponics comes from two Greek syllables combined, namely hydro which means water and ponos which means work, so hydroponics means working using air. One of the advantages of this agricultural system is the minimal use of land, where even small areas of land can be utilized. well. Hydroponics is agricultural cultivation without using soil, so hydroponics is an agricultural activity that is carried out using air as a medium to replace soil. Hydroponic systems are increasingly popular among farmers and agricultural service providers because they are able to produce healthier and more productive plants without using soil as a growing medium. This research aims to test the performance of an Internet of Things (IoT) based Hydroponic Monitoring System using Arduino on plants or vegetables with the method used in this research is Fuzzy logic. This method has 3 stages, namely Fuzzification, Defuzzification, Fuzzy Rule. The data set processed in this research was taken from measurements of pH and temperature on hydroponic vegetable plants in the PKK garden of Kemantan Kebalai Village. The dataset consists of 340 data. The results of this research can identify and calculate the percentage of pH and temperature measurements with an accuracy level of 90%. Therefore, this research can be a reference in measuring acid, normal and alkaline levels in hydroponic plants.
Penetapan Penerimaan Besaran Pembiayaan pada KPN Syariah dengan Metode AHP Hasni, Salmi; Nurcahyo, Gunadi Widi; Yunus, Yuhandri
Jurnal Informasi dan Teknologi 2019, Vol. 1, No. 4
Publisher : SEULANGA SYSTEM PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/jidt.v1i4.7

Abstract

The financing approval process for the Al-Ikhlas Sharia Civil Servant Cooperative (KPN) of the Batusangkar State Islamic Institute (IAIN) is still carried out by manual review, making it difficult to receive financing quickly and accurately. As a solution to these problems, we need a decision support system that can help in determining the amount of financial revenue. Analytic Hierarchy Process (AHP) is one of the multi-criteria problem solving models used in this study. The criteria used in determining the amount of financing received at the Al-Ikhlas IAIN Sharia Batusangkar KPN are character, capital, capacity, condition, and collateral. This study produces a weighting matrix of results, with KS as the member who gets the highest score of 95.3% and can apply for financing with a maximum amount.
Co-Authors A Alfarisdon AA Sudharmawan, AA Abdi Rahim Damanik Afifah Cahayani Adha Afriosa Syawitri Agung Ramadhanu Ahmad Zamsuri, Ahmad Alexyusandria alexyusandria Alfarisdon, A Ali Djamhuri Andi, Muhammad Yusril Haffandi Anggraini, Siska Dwi Anita Sindar Apriade Voutama Ardia Ovidius ardialis Ardiani, Novia Sutra Asyhari, Ahmad Aulia Mardhatilla Ayudia, Dina Ayunda, Afifah Trista Bayu Rianto Billy Hendrik Boy Sandy Dwi Nugraha.H Breinda, Engla Budayawan, Khairi Budiarti, Lela Bufra, Fanny Septiani Candra Putra Cyntia Lasmi Andesti Cyntia Trimulia Damanik, Abdi Rahim Daniel Theodorus Darma Yunita Darmawi Darnis, Rahmi Dedi Irawan Deri Marse Putra Dina Ayudia Dinda Permata Sukma DWI JULISA UTARI Dwi Utari Iswavigra Dyan Mardinata Putra Eka Putra, Dian Elfina Novalia Erizke Aulya Pasel Faisal Roza Fajri Karim Fanny Septiani Bufra Fauzan Azim Fauzi Erwis Febriani, Widya Febrina, Yerri Kurnia Fernando Ramadhan Fitriani, Yetti Fortia Magfira Gaja, Rizqi Nusabbih Hidayatullah Hafid Dwi Adha Handika, Yola Tri Hartati, Yuli Hasni, Salmi Hazlita, H Hendrik, Billy Honestya, Gabriela Humairoh, Putri Idir Fitriyanto Idir Ilham Effendi Indah Savitri Hidayat INTAN NUR FITRIYANI Ipri Adi Ira Nia Sanita Irzal Arief Wisky Jefri Rahmad Mulia Johan Harlan Jufri, Fikri Ramadhan Jufriadif Na`am, Jufriadif Jufriadif Na’am Juliantho, Dwana Abdi Julius Santoni Julius Santony Julius Santony Julius Santony Julius Santony Julius Santony Karim, Fajri Khelvin Ovela Putra Kholil, Muhammad Irvan Larissa Navia Rani Leony Lidya Lidia Sutra Lova Endriani Zen Lubis, Fitri Amelia Sari Lusi Kestina Luth Fimawahib M Mutia M, Mutia M. Almepal Wanda M. Ibnu Pati Mardayatmi, Suci Mardison Mardison Marfalino, Hari Meilinda Sari Meilinda Sari Melissa Triandini Miftahul Hasanah Miftahul Hasanah, Miftahul Miftahul Mardiyah Mike Zaimy Muhammad Amin Muhammad Irvan Kholil Nabila, Tuti Nadia, Nadia Aini Hafizhah Nadya Alinda Rahmi Nasution, Amir Salim Khairul Rijal Nia Nofia Mitra Nissa, Ika Ima Nst, Ely Nurhalizah Nur Azizah Nur, Rofil M Nurdini, Siti Nurhadi Parinduri, Rezti Deawinda Pati, Muhammad Ibnu Pebriyanti, Defi Petti Indrayati Sijabat Puji Chairu Sabila Putra, Akmal Darman Putra, Deri Marse Putra, Dyan Mardinata Putri Humairoh Putri, Stefani Putri, Yozi Aulia Putut Wicaksono, Putut Radillah, Teuku Rafiska, Rian Rahmad Supriadi Rahman, Zumardi Ramadhanu, Agung Riati, Itin Rika Apriani Rika Apriani, Rika Ririn Violina Ritna Wahyuni Rizka Hafsari Rizki Mubarak Roby Nurbahri Roni Salambue Rovidatul Rozakh, Muhammad Rusnedy, Hidayati Rustam, Camila S Sumijan Sabil, Muhammad Sahari Sahari Sahri, Alfi Sajida, Mayang Sandi Alam Sandrawira Anggraini Sani, Rafikasani Santriawan, Aji Sari, Fitri P. Sarjon Defit Sarjon Defit Sarjon Defit Septiana Vratiwi Sharon Sintia Sintia Siregar, Diffri Siregar, Fajri Marindra Sisi Hendriani Siska Dwi Anggraini Siti Nurdini Sovia, Rini Sri Handayani Sri Layli Fajri Stefani Hardiyanti Putri Suci Mardayatmi Sumijan Sumijan Sumijan Sumijan Sumijan Sumijan Sumijan Sumijan Sumijan, S Suri, Melati Rahma Sutra, Lidia Syafri Arlis Tesa Vausia Sandiva Ulfa, Ulia Ulfatun Hasanah Ulia Ulfa Verdian, Ihsan Vratiwi, Septiana W Wahyudi Wahyu, Fungki Wahyudi Wahid Wahyudi Wahyudi Wendi Robiansyah Weri Sirait Widya Febriani Yasmin, Nabilla Yeng Primawati Yerri Kurnia Febrina Yetti Fitriani Yolla Rahmadi Helmi Yoni Aswan Yuhandri Yuhandri Yuhandri Yuhandri Yuhandri Yuhandri Yuhandri, Yuhandri Yuhandri Yunus Yuhandri, Y Yuli Hartati Yulihartati, Sandra Yunita Cahaya Khairani Yunus, Yuhandri Yuyu, Yuhandri