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All Journal International Journal of Electrical and Computer Engineering IAES International Journal of Artificial Intelligence (IJ-AI) Jurnal Ilmu Tanah dan Lingkungan (Journal of Soil Science and Environment) Media Statistika Jurnal Ilmu Lingkungan Jurnal Natur Indonesia Jurnal Pendidikan dan Pembelajaran Khatulistiwa (JPPK) JIK Jurnal Ilmu Komputer Microbiology Indonesia Komunikasi Fisika Indonesia Jurnal Kreatif Tadulako Online Bulletin of Electrical Engineering and Informatics Al-'Adalah Explore: Jurnal Sistem Informasi dan Telematika (Telekomunikasi, Multimedia dan Informatika) GRADIEN Jurnal Teknologi Informasi dan Ilmu Komputer Pedagogik : Jurnal Ilmiah Pendidikan dan Pembelajaran Fakultas Tarbiyah Unversitas Muhammadiyah Aceh Al-Ijtima`i: International Journal of Government and Social Science Khazanah Informatika: Jurnal Ilmu Komputer dan Informatika INOVATIF: Jurnal Penelitian Pendidikan, Agama dan Kebudayaan Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Jurnal Sains & Teknologi Modifikasi Cuaca Journal of Economic, Bussines and Accounting (COSTING) Journal Of Nursing Practice Jurnal Penjaskesrek Visipena JITK (Jurnal Ilmu Pengetahuan dan Komputer) Majalah Ilmiah Biologi BIOSFERA: A Scientific Journal JMM (Jurnal Masyarakat Mandiri) Jurnal Purifikasi Jurnal Informatika Universitas Pamulang Jurnal Pengabdian Masyarakat AbdiMas Media Mahardhika AGROSCIENCE Jurnal Kreativitas PKM AL-TANZIM : JURNAL MANAJEMEN PENDIDIKAN ISLAM KOMPUTEK Al-Ard: Jurnal Teknik Lingkungan CCIT (Creative Communication and Innovative Technology) Journal Serambi Saintia : Jurnal Sains dan Aplikasi Poltekita : Jurnal Ilmu Kesehatan ACITYA Journal of Teaching & Education Jurnal Sains dan Teknologi Reaksi Jurnal Ilmiah Akuntansi dan Bisnis Journal of the Indonesian Medical Association : Majalah Kedokteran Indonesia Jurnal Vokasi Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Jurnal Ilmiah Profesi Pendidikan Fitrah: Jurnal Studi Pendidikan JUKI : Jurnal Komputer dan Informatika AVERROUS: Jurnal Kedokteran dan Kesehatan Malikussaleh Jurnal Media Teknik dan Sistem Industri Sains dan Matematika At-Tajdid : Jurnal Pendidikan dan Pemikiran Islam Academia Open Jurnal Ilmiah METADATA Jurnal Pendidikan Dasar Perkhasa Indonesia Berdaya Jurnal Pendidikan dan Pengabdian (JP2V) Fitrah: International Islamic Education Journal Jurnal Ilmiah Matematika JPM: JURNAL PENGABDIAN MASYARAKAT Statement : Jurnal Media Informasi Sosial dan Pendidikan Jurnal Hurriah: Jurnal Evaluasi Pendidikan dan Penelitian Narra J GEOGRAPHIA: Jurnal Pendidikan dan Penelitian Geografi BIOVALENTIA: Biological Research Journal Edusoshum: Jurnal Pendidikan Islam dan Sosial Humaniora Jurnal Kajian Ilmu Pendidikan (JKIP) East Asian Journal of Multidisciplinary Research (EAJMR) Edu Society: Jurnal Pendidikan, Ilmu Sosial dan Pengabdian Kepada Masyarakat ETAM: Jurnal Pengabdian kepada Masyarakat Makara Journal of Science Al-Istinbath: Jurnal Hukum Islam Jurnal Indonesia Sosial Sains Indonesian Research Journal on Education Jurnal Litek : Jurnal Listrik Telekomunikasi Elektronika JIP: Jurnal Ilmu Pendidikan Buletin Pengabdian IIJSE Infolitika Journal of Data Science Jurnal Lingkungan Almuslim Mandalika Journal of Business and Management Studies Journal of Development Economic and Social Studies (JDESS) Contemporary Studies in Economic, Finance and Banking (CSEFB) Journal of Community Empowerment Inovasi Kesehatan Global Quantum Wellness : Jurnal Ilmu Kesehatan Jurnal Ilmu Al-Qur'an dan Tafsir Jurnal Riset, Inovasi, Teknologi & Terapan Jurnal Ilmu Komputer dan Informatika Global Management: International Journal of Management Science and Entrepreneurship
Munawar Munawar
Universitas Esa Unggul
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PENGUJIAN NUTRIEN ANORGANIK UNTUK BIOREMEDIASI TUMPAHAN MINYAK MENTAH DENGAN METODE BIOSTIMULASI DI LINGKUNGAN PANTAI SURABAYA TIMUR Munawar Munawar
Purifikasi Vol 8 No 2 (2007): Jurnal Purifikasi
Publisher : Department of Environmental Engineering-Faculty of Civil, Environmental and Geo Engineering. Institut Teknologi Sepuluh Nopember, Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j25983806.v8.i2.121

Abstract

Bioremediation is an application of biological processes to treat ground water, soil, and mud contaminated with hazardous chemical. In this study, inorganic nutrient of commercial NPK fertilizer was applied. Crude oil was from Pertamina oil source of Cepu, Center Java. Crude oil was applied based on a consideration that many oil spill accidents spilled crude oil. The site was coastal area in Keputih, Sukolilo, Eastern Surabaya. In the study, experimental squares of 0,5 m x 0,5 m was made, each square had 0,25 m space. There were 18 experimental squares and one control square. Variables consist of nutrient level (0,2; 0,3; and 0,4 kg/square) and soil treatment (tilled and not). It was observed from study that inorganic nutrient significantly affected the decrease of crude oil concentration. It was also observed that tilled soil resulted in better effect and could decrease oil concentration until 36,61%. Otherwise, untilled soil decreased only 32,33%.
Penelusuran Aktivitas Antibakteri dari Kulit Akar Tumbuhan Medang Seluang (Litsea spathulata) terhadap Bakteri Uji Escherichia coli dan Shigella dysentriae Munawar Munawar; Elfita Elfita
Majalah Ilmiah Biologi BIOSFERA: A Scientific Journal Vol 24, No 1 (2007)
Publisher : Fakultas Biologi | Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20884/1.mib.2007.24.1.152

Abstract

Screening for antibacterial activity from root bark of Litsea spathulata had been done. Antibacterial test on each fraction showed that hexane had the highest activity followed by ethyl acetate and methanol. Major compound from antibacterial active fraction had been isolated. Identification of this compound was carried out applying phytochemistry assay and spectroscopic methods, i.e. ultraviolet (UV), infrared (IR), and Gas Chromatography- Mass Spectroscopic (GC-MS). Minimum inhibiting concentration (MIC) value of the active fraction was 780 mg/mL to Escherichia coli and 860 mg/mL to Shigella dysentriae.
Risk Management in Software Development Projects: A Systematic Literature Review Marzuki Pilliang; Munawar Munawar
Khazanah Informatika Vol. 8 No. 2 October 2022
Publisher : Department of Informatics, Universitas Muhammadiyah Surakarta, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/khif.v8i2.17488

Abstract

Risk Management is an integral part of every project. Risk management must estimate the risks’ significance, especially in the SDLC process, and mitigate those risks. Since 2016, many papers and journals have researched planning, design, and risk control in software development projects over the last five years. This study aims to find the most exciting topics for researchers in risk management, especially in software engineering projects. This paper takes a systematic approach to reviewing articles containing risk management in software development projects. This study collects papers and journals included in the international online library database, then summarizes them according to the stages of the PICOC methodology. This paper results in the focus of research in the last five years on Agile methods. The current issue is that many researchers are trying to explicitly integrate risk management into the Agile development process by creating a comprehensive risk management framework. This SLR helps future research get a theoretical basis to solve the studied problem. The SLR explains the focuses of previous research, analysis of research results, and the weaknesses of the investigation. For further study, take one of the topic papers, do a critical review, and find research gaps.
Studi Komparasi Kerangka Kerja Manajemen Risiko dalam Scrum Marzuki Pilliang; Munawar Munawar; Budi Tjahjono
Jurnal Informatika Universitas Pamulang Vol 7, No 2 (2022): JURNAL INFORMATIKA UNIVERSITAS PAMULANG
Publisher : Teknik Informatika Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/informatika.v7i2.17468

Abstract

Risk management in software engineering projects describes an integrated design with methods, processes, and artifacts that continuously identify, analyze, control, and monitor risks, to prevent the project from failing. Agile methodology is an alternative to the traditional sequential software development process. Scrum is the most frequently used method based on the 2016 Agile development survey results. In recent years, there have been many studies that have produced a risk management framework for Scrum. However, risk analysis and the selection of responses to risks become a burden for stakeholders, so a framework is needed that can become a support system to help make decisions. This paper uses a comparative study of risk management framework literature and literature that utilizes tools for risk management. The research resulted in a new framework that integrates datasets and machine learning into a risk management framework, so further work can be done to test the effectiveness of the new framework
Studi Komparasi Kerangka Kerja Manajemen Risiko dalam Scrum Marzuki Pilliang; Munawar Munawar; Budi Tjahjono
Jurnal Informatika Universitas Pamulang Vol 7, No 2 (2022): JURNAL INFORMATIKA UNIVERSITAS PAMULANG
Publisher : Teknik Informatika Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/informatika.v7i2.17468

Abstract

Risk management in software engineering projects describes an integrated design with methods, processes, and artifacts that continuously identify, analyze, control, and monitor risks, to prevent the project from failing. Agile methodology is an alternative to the traditional sequential software development process. Scrum is the most frequently used method based on the 2016 Agile development survey results. In recent years, there have been many studies that have produced a risk management framework for Scrum. However, risk analysis and the selection of responses to risks become a burden for stakeholders, so a framework is needed that can become a support system to help make decisions. This paper uses a comparative study of risk management framework literature and literature that utilizes tools for risk management. The research resulted in a new framework that integrates datasets and machine learning into a risk management framework, so further work can be done to test the effectiveness of the new framework
SENTIMENT ANALYSIS OF CONTENT PERMENKOMINFO NO.5 OF 2020 USING A CLASSIFICATION ALGORITHM Mohammad Amada; Munawar Munawar; Marzuki Pilliang
JITK (Jurnal Ilmu Pengetahuan dan Teknologi Komputer) Vol. 8 No. 2 (2023): JITK Issue February 2023
Publisher : LPPM Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1141.855 KB) | DOI: 10.33480/jitk.v8i2.4091

Abstract

This study aims to evaluate the impact of the policy issued by the Minister of Communication and Information Technology (PERMENKOMINFO No.5 of 2020) on the public's ability to access content through Private Scope Electronic System Providers (PSE). The study uses sentiment analysis and data classification methods to analyze the content of PERMENKOMINFO No.5 of 2020 and provides results on the accuracy of sentiment prediction. The results of the study show that the data classification method in sentiment analysis can provide accurate results in predicting the sentiment towards the content of PERMENKOMINFO No.5 of 2020. The study also highlights the need for improvement and better policy to ensure the interests of the public in accessing online information. The negative sentiment of 80.34% obtained through sentiment analysis provides important contributions for policy evaluation and feedback for improvement. This study provides valuable insights into the public's sentiment towards the PERMENKOMINFO No.5 of 2020 policy and its impact on their ability to access content. It also contributes to understanding the legal uncertainty in accessing content and reinforces the case for better policy to ensure the interests of the public.
Analisis Sentimen atas Opini pada Twitter terhadap PERMENKOMINFO No.5 Tahun 2020 menggunakan Algoritma Klasifikasi Mohammad Amada; Munawar m
Explore: Jurnal Sistem Informasi dan Telematika (Telekomunikasi, Multimedia dan Informatika) Vol 14, No 1 (2023): Juni
Publisher : Universitas Bandar Lampung (UBL)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36448/jsit.v14i1.2964

Abstract

Twitter merupakan salah satu media sosial yang paling banyak digunakan dalam menyampaikan opini atau pendapat terhadap suatu permasalahan yang muncul dan kerap menjadi trend topik. Pada 30 Juli 2022 viral #BlokirKominfo dan #PSEMelanggarHAM atas penerapan Peraturan Menteri Komunikasi dan Informatika No.5 Tahun 2020 tentang Penyelenggaraan Sistem Elektronik (PSE) Lingkup Privat atas pemberlakuan sanksi yang diterapkan kepada perusahaan yang tidak/belum mendaftarkan layanan sistemnya yang menyebabkan masyarakat tidak dapat mengakses layanan perusahaan tersebut. Berbagai respon yang muncul perlu dilakukan analisis untuk memahami opini yang disampaikan. Penelitian ini menggunakan metode Analisis Sentimen untuk mengerti apakah opini yang muncul bernilai positif, negatif, atau netral atas viralnya tagar tersebut. Labeling Sentimen dilakukan pada dataset tweet sebanyak 11658 menggunakan pendekatan Lexicon-Based Approach dengan mengimplementasikan kamus leksikal Indonesian Sentiment (InSet) Lexicon atas penelitian Fajri Koto dan Gemala Y Rahmaningtyas serta dilakukan klasifikasi data atas analisis sentimen pada penelitian ini. Metode Klasifikasi yang diterapkan terdiri dari 3 metode, yaitu Support Vector Machine (SVM), Naïve Bayes Classifier (NBC), dan K-Nearest Neighbors (KNN). Hasil Klasifikasi tertinggi didapatkan pada metode SVM dengan nilai akurasi sebesar 79 persen, hasil kedua didapatkan pada metode NBC dengan nilai akurasi sebesar 71 persen, dan hasil terendah didapatkan pada metode KNN dengan nilai akurasi sebesar 61 persen.
Chemical Constituen from an Endophytic Fungus Aspergillus sp (SbD5) Isolated from Sambiloto (Andrographis paniculata Nees) ELFITA ELFITA; MUNAWAR MUNAWAR; MUHARNI MUHARNI; IHSAN IVANTRI
Microbiology Indonesia Vol. 9 No. 2 (2015): June 2015
Publisher : Indonesian Society for microbiology

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1207.015 KB) | DOI: 10.5454/mi.9.2.6

Abstract

Medicinal plants and their endophytes are important resources for discovery of natural products. Endophytic fungi isolated from medicinal plants more likely exibit pharmaceutical potentials. In the present study, an endophytic fungus Aspergillus sp (SbD5) was isolated from leaves of sambiloto (Andrographis paniculata). The fungus isolate was cultivated in Potato Dextrose Broth (PDB) medium for 7 weeks in static, then extracted with ethyl acetate followed by Thin Layer Chromatography (TLC) test. The results displayed three major spots. Ethyl acetate extract was further separated by column chromatography and recrystallization to obtain three pure compounds. Their structures were determined on the basic of spectroscopic analysis. The compounds is one new benzochromen derivative, 1-(3,8-dihydroxy-4,6,6-trimethyl-6H- benzochromen-2-yloxy)propan-2-one (1), together with two known compounds 5-hydroxy-4-(hydroxymethyl)-2H-pyran-2-one (2) and (5-hydroxy-2-oxo-2H-pyran-4-yl)methyl acetate (3). The antibacterial activities of the compounds were tested using the disk diffusion method against Staphylococcus aureus (ATCC 25923), Escherichia coli (ATCC 25922), Shigella dysenteriae and Salmonella typhi.  Compound 1 has the highest antibacterial activity followed by compound 2 and 3.
Analisis Sentimen Kalimat Depresi Pada Pengguna Twitter Dengan Naive Bayes, Support Vector Machine, Random Forest Mohammad Fachriza; Munawar Munawar
KOMPUTEK Vol 7, No 2 (2023): Oktober
Publisher : Universitas Muhammadiyah Ponorogo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24269/jkt.v7i2.2218

Abstract

Pengguna aktif media sosial terus meningkat, dengan Twitter menjadi salah satu platform yang populer. Media sosial, termasuk Twitter, menjadi tempat bagi pengguna untuk mengekspresikan pendapat, termasuk mengenai masalah kesehatan mental seperti depresi. Penelitian ini bertujuan untuk menganalisis sentimen tweet pengguna Twitter terkait depresi menggunakan metode klasifikasi seperti Naïve Bayes Classifier, Support Vector Machine (SVM), dan Random Forest. Pengumpulan data tweet menggunakan metode crawling menggunakan API yang disediakan oleh Twitter dengan kata kunci yang berhubungan dengan depresi. Data tweet yang digunakan sebanyak 1502 tweet, yang selanjutnya dibersihkan pada tahap preprocessing dan diberi label dengan validasi oleh pakar terkait depresi, data yang sudah diberi label sebagai data untuk pengujian pada algoritma yang digunakan. Dari hasil pengujian performa pada algoritma yang diuji dapat disimpulkan bahwa algoritma Random Forest memilkiki hasil performa yang lebih tinggi dibandingkan dengan Naive Bayes Clasifier dan Support Vector Machine dengan Hasil  akurasi: 83.33%, presisi: 83.04%, recall: 83.33%, dan f1-scores: 82.62%. Penelitian ini Juga memberikan Word cloud untuk memberikan gambaran visual tentang kata-kata yang paling sering muncul dalam tweet. Kata-kata yang dominan dapat memberikan indikasi tentang topik atau isu yang paling mendominasi terkait kesehatan mental seseorang
Isolation of Antioxidant Compound from Endophytic Fungi Acremonium sp. from the Twigs of Kandis Gajah Elfita, Elfita; Muharni, Muharni; Munawar, Munawar
Makara Journal of Science Vol. 16, No. 1
Publisher : UI Scholars Hub

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Co-Authors . Zulfan Abd. Rasyid Syamsuri Abda Abda Abdurahman Abdurrahman Abigael, Febby Debora Achmad Noerkhaerin Putra Ade Oktasari Adi Mulsandi Aditya Candra, Aditya Agung Hartoyo Aidil Amar Akbar, Habibullah Akmal, Ajmir Alda, Alda Alfa Punky Irawan Ali Muhtaram, Saipin Amri, Sayful Anastina Tahjoo Angga Prasetya Mulya Anistia Malinda Hidayat Anwar Fuadi, Anwar Arif Pristianto Arifianto, Fendy Arjuna Fatkhur Roziq Pahlavi Arrozi, Muhammad Fachrudin Asfar, Dedy Ari Bambang Giyanto Bambang Yudono Beruh, Hadirin Budi Tjahjono Bulqini, Rijal Cakranegara, Pandu Adi Dea Indriani Astuti Dewi, Tgk. Puspa Diding Sudira Efendi Donny Teguh Santosa Junias Dwi Hardestyariki, Dwi E. Elwina Edi Kartawijaya Elfita Elfita Elfita Elfita Emridwansyah, Emridwansyah Endang Ruswanti Ervina Mukharomah, Ervina Fachriza, Mohammad Fadilah, Eka Faizal Adi Bahtia, Jeri Febrina Yolanda Ferdiansyah, Ervan Ferdiyansyah, Ervan Fitralia Elyza Fridayanti, Diah Fridayati, Diah Fuadi, Ahmad Melky Gerry Firmansyah Habibi, Naufal Ilham Hafnani Hafnani Hakim, Syahirman Handayani, Setyo Hapsoh, Siti Hary Widjajanti Haryanto, Yosafat Donni Haryanto, Yosafat Donny Heni Yohandini Hidayat, Anistia Malinda Hizir Sofyan Humaira, Ziaul Ibnu Affan Ibrahim Ibrahim IHSAN IVANTRI Ikhsan Febriansyah Ilzana, Teuku M. Indra Cahyadinata, Indra Indraprastha, Annya Shakty Irwansyah Irwansyah Iskandar Iskandar Ismawardani, Novia Dewi Iwan Sopwandin Juniawati Junita Junita Kamal Fachrurrozi Khairani, Cut Khaled, Teuku M. Kinanti, Putri Kresna Sakti, Rachmad Kristina, Eva Kusumapradja, Rokiah Lailatul Musyarofah, Lailatul Lestariningsih Lestariningsih Lubis, Ibrah Hasanah Lumbantoruan, Alva Josia M Tirtana Siregar, M Tirtana Made Denny Oktariyana Maghriza, Akhdan Raffi Satya Manik, Willy Bonanja Maqbul, Maqbul Mardiyansyah, Adji Mardiyati Isfa, Cut Marlina Marlina Marzuki Marzuki Marzuki Pilliang Marzuki, Sinambela Mohammad Amada Mohammad Amada Mohammad Fachriza Mohd Andalas MUCHAMMAD FAIZIN Muftareza, Arfany Dimas Mugiono, Arif Mugiyono, Arif Muhamad Safiih Lola Muhammad Abduh Muhammad Amri Muhammad Fikri Muhammad Iqbal Muhammad Muhammad Muhammad Rifqi Muhammad Syahroni Muhammad Yani, Muhammad Muharni Muharni Muis Muis, Muis Mulya, Aditya Munawir Munawir Munizar Munizar, Munizar Muthahhari, Ilham Muzakir Nainggolan, Sarah I. Naiola, Fransiscus Nicodemus Najmuddin MA, Najmuddin Najmuddin, Najmuddin Najmuddin, Najmuddin ⁠ Nardi, Nardi Nisa', Syadzadhiya Qotrunada Zakiyayasin Nizirwan Anwar Nofierni, Nofierni Nopiana, Medi Novembrianto, Rizka Novia Rozalini Nugroho Budhi Santosa NUNI GOFAR Nurahillah, Nurahillah Nuraida Nuraida Nurhuda, Hilmi Mufthia Nurjalilah, Siti Nursayuti, Nursayuti Nuryadi Nuryadi Oktari, Rina Suryani Palahudin, Cecep Pilliang, Marzuki PINGKAN ADITIAWATI Prabowo, Mulyono Rahadi Puja, Avrilia Puspandari, Diah A. Putri Tipa Anasi Qhinanti Lubis, Uchti Nuzul Rachmad Suhanda Rachmawati Rachmawati Rachmawaty, Rini Rahma Zuhra Rahman Rahman Rahmi, Cut R. Rajuddin Rajuddin Rajuddin Rajuddin Ramli Ramli Rantelobo, Alfred Tandirura Rantelobo, Alftred T. Rasipin Rasipin Rasudin, Rasudin Ratna Sari Ratri, Dwi Ajeng Razzaq, Aliyah Nadhifah Reinamah, Clara Margilina Reza Fahmi Reza Pahlevi, M Rhomadhoni, Muslikha Nourma Riadi, Yosua Rian Adi Pamungkas Rini Rachmawaty Rista Hernandi Virgianto Rizal Mutakin Rosmiati Rosmiati Rosnani Nasution Roswita, Cut Roziana Roziana Ruby, Mahlil Rusnaidi Ryzha Ryskyanty Saiful Bahri Saiful Mahdi Saleh, Ariyanti Saleh, Ariyanti Salni Salsabila, Anida Nasywa Samsul Bahri Saputra, Syifa Saputra, Tino Saputri, Cut Inda Sari Rizki Sejati, Puteri Selian, Karno Septian Tri Wicaksono Silalahi, Nita Florina Silvia, Nora Siraj Siraj Sri Buwono . Sri Wardhani Sudarisman, Maman Sumanti Sumanti, Sumanti Sumarna Sumarna Supriadi Supriadi Surasman , Otong Suryani Suryani Susono, Juhasdi Syahrul Azmi Syarina, Syarina Tang, Muhammad Tanjung, Rosydha Tari, Sandian Tristiana Rijanti Tuah, Dilah Ula, Akramul Usman, Tarmizi Veanti, Desak Putu Okta walidaini, Walidaini Wibowo, Shindyko Yahya Darmawan Yolanda Yolanda, Yolanda Yosafat, Oryza Yulhendri Yulhendri Yusra, Yusra Yusri Yusuf Yusriadi Yusriadi Yusrizal Yusrizal Zaidan, Zaidan Zain, Siti Azzura Zainal Abidin Suarja Zalikha Zalikha Zubairin, Achmad Zuhri , Saifudin Zulfiandri Zulfiandri Zulkifli Zulkifli