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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) Paradigma : Journal of Science, Religion and Culture Studies POSITRON PRISMA FISIKA Jurnal Sains dan Teknologi El-HARAKAH : Jurnal Budaya Islam Islam Futura Jurnal Fisika Unand Journal of Educational Science and Technology JURNAL NASIONAL TEKNIK ELEKTRO Indonesia Chimica Acta Jurnal Geocelebes Sistemasi: Jurnal Sistem Informasi SAINTIFIK@ : Jurnal Pendidikan MIPA Jurnal ELTIKOM : Jurnal Teknik Elektro, Teknologi Informasi dan Komputer JTT (Jurnal Teknologi Terpadu) Jurnal Ilmiah Peuradeun Jurnal Laut Khatulistiwa Al-Hayat: Journal of Islamic Education Elektrika Diglosia: Jurnal Kajian Bahasa, Sastra, dan Pengajarannya Sebatik Chemistry Indonesian Journal of Chemical Research JURNAL PENDIDIKAN TAMBUSAI Japanese Research on Linguistics, Literature, and Culture Al-Hikmah: Jurnal Agama dan Ilmu Pengetahuan Journal of Electronics, Electromedical Engineering, and Medical Informatics Jurnal Mekanova : Mekanikal, Inovasi dan Teknologi JURNAL ILMIAH OBSGIN : Jurnal Ilmiah Ilmu Kebidanan & Kandungan Jambura Journal of Electrical and Electronics Engineering Jurnal Pengabdian Masyarakat Sains Indonesia (Indonesian Journal Of Science Community Services) Journal of Applied Health Management and Technology Bada'a: Jurnal Ilmiah Pendidikan Dasar Abdimas Toddopuli: Jurnal Pengabdian Pada Masyarakat Jurnal Teknik Elektro dan Komputasi (ELKOM) Jurnal Mnemonic JATI (Jurnal Mahasiswa Teknik Informatika) Jurnal Ilmiah Profesi Pendidikan Buletin KKN Pendidikan International Journal of Advances in Data and Information Systems Journal of Applied Science, Engineering, Technology, and Education Hanifiya: Jurnal Studi Agama-Agama Jurnal Teknik Industri Terintegrasi (JUTIN) Budapest International Research and Critics Institute-Journal (BIRCI-Journal): Humanities and Social Sciences Jurnal Teknik Informatika (JUTIF) Community Empowerment jurnal dikdas bantara Journal of Applied Data Sciences PENGABDI: Jurnal Hasil Pengabdian Masyarakat Jurnal Dedikasi Hermeneutik : Jurnal Ilmu Al-Qur'an dan Tafsir Bisnis Net : Jurnal Ekonomi dan Bisnis Arsitekno Jurnal Pendidikan dan Pembelajaran Indonesia (JPPI) MUSHAF: Jurnal Tafsir Berwawasan Keindonesiaan LEARNING : Jurnal Inovasi Penelitian Pendidikan dan Pembelajaran Journal of Multidisciplinary Applied Natural Science Al-Ashr : Jurnal Pendidikan dan Pembelajaran Dasar Share: Jurnal Ekonomi dan Keuangan Islam Jurnal Pendidikan dan Pembelajaran Sekolah Dasar (JPPSD) COVIT JITU (Jurnal Ilmiah Teknik Unida) Chemical Engineering Journal Storage (CEJS) Journal of Lex Philosophy (JLP) Volksgeist: Jurnal Ilmu Hukum dan Konstitusi Jurnal Penelitian Ilmu Ushuluddin Jurnal Pengabdian Mandiri JOMPA ABDI: Jurnal Pengabdian Masyarakat Journal of Agriculture (JoA) Global Journal Basic Education Jurnal Riset Agama Jurnal Bangun Abdimas Sambulugana Takwil: Journal of Quran and Hadith Studies International Journal of Educational Research Excellence (IJERE) Internet of Things and Artificial Intelligence Journal Jurnal Semiotika-Q: Kajian Ilmu al-Quran dan Tafsir Literasi: Jurnal Pengabdian Masyarakat dan Inovasi Economics and Business Journal JUQUTS Innovative: Journal Of Social Science Research IPTEK: Jurnal Hasil Pengabdian kepada Masyarakat Journal of Vocational Instruction Riset Informasi Kesehatan Jurnal Pengabdian Harapan Ibu (JPHI) Jurnal Ilmiah Mahasiswa Arsitektur dan Perencanaan Jurnal Pendidikan Kimia Unkhair (JPKU) Ininnawa: Jurnal Pengabdian Masyarakat JIM: Jurnal Ilmiah Mahasiswa Pendidikan Sejarah Riwayat: Educational Journal of History and Humanities Jurnal Cendekia Mengabdi Berinovasi dan Berkarya Aceh Journal of Electrical Engineering and Technology Infolitika Journal of Data Science Jurnal Keguruan dan Ilmu Pendidikan (JKIP) RESPON Jurnal Ilmiah Mahasiswa Ilmu Komunikasi Al-Balad : Jurnal Hukum Tata Negara dan Politik Islam Oseanologia AGROTEKBIS: Jurnal Ilmu Pertanian PROSIDING SEMINAR NASIONAL DAN INTERNASIONAL HIMPUNAN SARJANA-KESUSASTRAAN INDONESIA Al Iidara Balad : Jurnal Administrasi Negara JIMMI: Jurnal Ilmiah Mahasiswa Multidisiplin Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Jurnal RAUT Jurnal Cendekia Ilmiah Ulil Albab Jurnal Binakes JILS (Journal of Indonesian Legal Studies) Hadara : Journal of Da'wah and Islamic Civilization Agroscript: Journal of Applied Agricultural Sciences Jurnal bahasa, sastra, seni, dan pengajarannya Journal of Regional and Rural Studies
Muliadi
Universitas Iskandar Muda
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The affecting factors of willingness to communicate of inside classroom, outside classroom, and digital setting on Japanese language students Muliadi, Muliadi
Japanese Research on Linguistics, Literature, and Culture Vol. 5 No. 1 (2022): November
Publisher : Universitas Dian Nuswantoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33633/jr.v5i1.5895

Abstract

The present study investigates the variables believed to relate to and affect Japanese language students’ willingness to communicate in Japanese in online learning situations. This study was a quantitative study that used questionnaire data as the main data distributed through the Google Form platform. A total of 81 Japanese language students from three universities participated. The findings showed that anxiety negatively correlated with willingness to communicate inside the classroom. Meanwhile, self-rating and virtual intercultural experiences positively correlated with willingness to communicate inside the classroom, outside the classroom, and in digital settings. The regression analysis showed that language anxiety, self-rating, and virtual intercultural experiences variables had a minor effect on willingness to communicate inside the classroom (19%) and digital setting (22.5 %). The results of this study indicate that besides the factors of anxiety, self-rating, and virtual intercultural experience, other variables are considered to be more contributing to how Japanese language students have the will to communicate in the target language.
2D Marine Seismic data Analysis Using Comparison of Kirchhoff’s Migration Method and Finite Difference Method (Case Study: Nias Basin, North Sumatera) Annisa, Cindy Fatika Nur; Muliadi, Muliadi; Ivansyah, Okto; Subarsyah, Subarsyah
JURNAL GEOCELEBES Vol. 8 No. 1: April 2024
Publisher : Departemen Geofisika, FMIPA - Universitas Hasanuddin, Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20956/geocelebes.v8i1.24638

Abstract

Seismic migration is one of the important stages in seismic data processing which aims to map seismic events to their actual positions. The migration process used in this study is post-stack time migration in the time domain using the Kirchhoff migration technique and the finite difference method to determine the results of subsurface imaging from the two migration techniques and then compare them to determine the accuracy of selecting the appropriate migration for the L08 basin trajectory research area. Nias basin, North Sumatra. The processing steps are carried out according to the preprocessing to processing stages in the Promax 5000 software. Based on the results of the study, the optimum use of aperture migration in Kirchhoff migration will produce good subsurface cross-sectional imaging. The aperture value used is 3000 ms. In the finite difference migration, subsurface imaging is much more focused with a time step variation of 10 ms, whose function is to focus the hyperbolic diffraction energy on the migration data.
Drought Analysis in Ketapang District using the Keetch-Byram Drought Index Method Massuro, Lusyndatul; Adriat, Riza; Muliadi, Muliadi; Ihwan, Andi; Sutanto, Yuris
JURNAL GEOCELEBES Vol. 8 No. 2: October 2024
Publisher : Departemen Geofisika, FMIPA - Universitas Hasanuddin, Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70561/geocelebes.v8i2.36474

Abstract

Ketapang Regency is one of the areas in West Kalimantan that is prone to drought. Drought can trigger forest and land fires. In this research, the Keetch-Byram Drought Index (KBDI) method was used to determine the level of drought in Ketapang Regency. The KBDI method relies on annual rainfall accumulation, daily rainfall, and maximum air temperature. The KBDI values obtained were correlated with the number of hotspots using Pearson correlation. This research was conducted throughout 2018-2022. Based on the monthly average KBDI value, the highest drought in Ketapang Regency occurred in August and September, while the lowest drought occurred in December and January. In terms of the annual average, the highest drought occurred in 2019. During the ENSO phenomenon in 2019, the El Niño phase experienced higher drought than the La Niña phase and normal years. In the El Niño phase, drought levels reach high to extreme categories. The correlation value between annual KBDI and the number of hotspots is 0.88, indicating a solid relationship. An increase in the KBDI value will be followed by an increasing number of hotspots.
The Implementation of Roland Barthes semiotics in Al-Baqarah Verse 143 on the Word of Ummatan Wasathan: Penerapan Semiotika Roland Barthes dalam Surat Al-Baqarah Ayat 143 pada Kata Ummatan Wasathan Awadin, Adi Pratama; Sutardi, Edi; Muliadi, Muliadi
Takwil: Journal of Quran and Hadith Studies Vol. 3 No. 1 (2024): June
Publisher : Institut Agama Islam Negeri Kerinci

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32939/twl.v3i1.2966

Abstract

Umatan wasathan is a way of forming the character of Muslims which represents various differences in beliefs between religions. Umatan wasathan has an important role in maintaining harmony, peace and tranquility so that a harmonious society can be created amidst differences. In the process of its implementation, the Umatan wasathan makes Muslims not to be excessive, to be in a middle position, not extreme right or left, but to have a moderate character that adorns the personality of every Muslim. This research discusses the Umatan wasathan in the Al-Qur'an surah al-Baqarah verse 143. This research uses a qualitative research type of literature study which is presented descriptively-analytically using Roland Barthes' semiotic approach. The results of the research show that the Wasathan Ummah is a people who have a moderate character which is reflected in the ability to act fairly, be balanced, and be able to implement beneficial values. Muslims are asked to be able to combine two things, namely, piety in the afterlife and worldly life. This research recommends that future researchers examine the future of Indonesian life amidst diversity and religiousity.
Implementasi Principal Component Analysis (PCA) dan Gap Statistic untuk Clustering Kanker Payudara pada Algoritma K-Means Afifa, Ridha; Mazdadi, Muhammad Itqan; Saragih, Triando Hamonangan; Indriani, Fatma; Muliadi, Muliadi
Sistemasi: Jurnal Sistem Informasi Vol 13, No 5 (2024): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v13i5.4015

Abstract

Breast cancer is one of the most common causes of death worldwide. Data mining can be utilized to detect breast cancer, where information is extracted from data to provide valuable insights. Clustering of breast cancer is conducted to assist medical professionals in grouping the characteristics of each cancer type. However, multicollinearity in breast cancer data can impact clustering results. To address this issue, dimensionality reduction through Principal Component Analysis (PCA) is employed. PCA can effectively handle multicollinearity issues and enhance computational efficiency. Additionally, the K-Means method has limitations in determining the optimal number of clusters. Therefore, the Gap Statistic method is employed to find the optimal K value suitable for breast cancer data. This study compares the evaluation results of the K-Means clustering model, the combined PCA-KMeans clustering model, and the combined PCA-GapStatistic-KMeans clustering model. The findings indicate that the evaluation results for the K-Means model with PCA dimensionality reduction and optimal Gap Statistic K are superior to the K-Means model without dimensionality reduction. The Gap Statistic suggests 2 clusters as the optimal number, with an evaluation result of 1.195513.
Implementation of Copeland Method on Wrapper-Based Feature Selection Using Random Forest For Software Defect Prediction Aryanti, Agustia Kuspita; Herteno, Rudy; Indriani, Fatma; Nugroho, Radityo Adi; Muliadi, Muliadi
Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol. 7 No. 1 (2025): February
Publisher : Jurusan Teknik Elektromedik, Politeknik Kesehatan Kemenkes Surabaya, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/2pgffc67

Abstract

Software Defect Prediction is crucial to ensure software quality. However, high-dimensional data presents significant challenges in predictive modelling, especially identifying the most relevant features to improve model performance. Therefore, efforts are needed to address these issues, and one is to apply feature selection methods. This study introduces a new approach by applying the Copeland ranking method, which aggregates feature weights from multi-wrapper methods, including Recursive Feature Elimination (RFE), Boruta, and Custom Grid Search, using 12 NASA MDP datasets. The study also applies Random Forest classification and evaluates the model using AUC and t-Test. In addition, this study also compares the accuracy and precision values produced by each method. The results consistently show that the Copeland ranking method produces superior results compared to other ranking methods. The average AUC value obtained from the Copeland ranking method is 0.7496, higher than the Majority ranking method with an average AUC of 0.7416 and the Optimal Rank ranking method with an average AUC of 0.7343. These findings confirm that applying the Copeland ranking method in wrapper-based feature selection can enhance classification performance in software defect prediction using Random Forest compared to other ranking methods. The strength of the Copeland method lies in its ability to integrate rankings from various feature selection approaches and identify relevant features. The findings of this research demonstrate the potential of the Copeland ranking method as a reliable tool for ranking features obtained from various wrapper-based feature selection techniques. The implementation of this approach contributes to improved software defect prediction and provides new insights for the development of ranking methods in the future
Dimensionality Reduction Using Principal Component Analysis and Feature Selection Using Genetic Algorithm with Support Vector Machine for Microarray Data Classification Kartini, Dwi; Badali, Rahmat Amin; Muliadi, Muliadi; Nugrahadi, Dodon Turianto; Indriani, Fatma; Saputro, Setyo Wahyu
Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol. 7 No. 1 (2025): February
Publisher : Jurusan Teknik Elektromedik, Politeknik Kesehatan Kemenkes Surabaya, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/mr7x9713

Abstract

DNA microarray is used to analyze gene expression on a large scale simultaneously and plays a critical role in cancer detection. The creation of a DNA microarray starts with RNA isolation from the sample, which is then converted into cDNA and scanned to generate gene expression data. However, the data generated through this process is highly dimensional, which can affect the performance of predictive models for cancer detection. Therefore, dimensionality reduction is required to reduce data complexity. This study aims to analyze the impact of applying Principal Component Analysis (PCA) for dimensionality reduction, Genetic Algorithm (GA) for feature selection, and their combination on microarray data classification using Support Vector Machine (SVM). The datasets used are microarray datasets, including breast cancer, ovarian cancer, and leukemia. The research methodology involves preprocessing, PCA for dimensionality reduction, GA for feature selection, data splitting, SVM classification, and evaluation. Based on the results, the application of PCA dimensionality reduction combined with GA feature selection and SVM classification achieved the best performance compared to other classifications. For the breast cancer dataset, the highest accuracy was 73.33%, recall 0.74, precision 0.75, and F1 score 0.73. For the ovarian cancer dataset, the highest accuracy was 98.68%, recall 0.98, precision 0.99, and F1 score 0.99. For the leukemia dataset, the highest accuracy was 95.45%, recall 0.94, precision 0.97, and F1 score 0.95. It can be concluded that combining PCA for dimensionality reduction with GA for feature selection in microarray classification can simplify the data and improve the accuracy of the SVM classification model. The implications of this study emphasize the effectiveness of applying PCA and GA methods in enhancing the classification performance of microarray data.
Machine Learning Implementation for Sentiment Analysis on X/Twitter: Case Study of Class Of Champions Event in Indonesia Hafizah, Rini; Saragih, Triando Hamonangan; Muliadi, Muliadi; Indriani, Fatma; Mazdadi, Muhammad Itqan
Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol. 7 No. 2 (2025): May
Publisher : Jurusan Teknik Elektromedik, Politeknik Kesehatan Kemenkes Surabaya, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/ijeeemi.v7i2.81

Abstract

Sentiment analysis on social media is becoming an important approach in understanding public opinion towards an event. Twitter, as a microblogging platform, generates a large amount of data that can be utilized for this analysis. This study aims to evaluate and compare the performance of three classification algorithms, namely Support Vector Machine (SVM), Random Forest, and Extreme Gradient Boosting (XGBoost), in sentiment analysis related to the Clash of Champions event in Indonesia. To represent the text data, two feature extraction techniques are used, namely Term Frequency-Inverse Document Frequency (TF-IDF) and Bag of Words (BoW). In addition, Synthetic Minority Over-sampling Technique (SMOTE) is applied to handle data imbalance, while model optimization is performed using GridSearchCV. The research dataset consists of 1,000 tweets collected through web scraping, then manually processed and labeled before model training and testing. The results showed that the TF-IDF technique provided superior results compared to BoW. The Random Forest model with TF-IDF achieved the highest accuracy of 91%, while XGBoost with TF-IDF had the highest Area Under the Curve (AUC) of 0.91. The findings confirm that the selection of appropriate feature extraction techniques and algorithms can improve accuracy in sentiment analysis. This study can be applied in public opinion monitoring and data-driven decision-making. Future research can explore word embedding techniques and transformer-based deep learning models to improve semantic understanding and accuracy of sentiment analysis.
Interpretasi Sebaran Lindi di Sekitar TPA Salatiga Kabupaten Sambas Menggunakan Metode Self-Potential Prasetya, Irvan Nur; Putra, Yoga Satria; Muhardi, Muhardi; Muliadi, Muliadi; Perdhana, Radhitya
Jurnal Fisika Unand Vol 11 No 4 (2022)
Publisher : Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jfu.11.4.523-530.2022

Abstract

Pembuangan sampah secara open dumping telah banyak memberikan dampak negatif bagi lingkungan seperti terkontaminasinya air tanah oleh lindi. Interpretasi sebaran lindi di sekitar TPA Salatiga Kabupaten Sambas telah dilakukan menggunakan metode self-potential. Penelitian ini menerapkan 8 buah lintasan dengan panjang masing-masing 150 m, jarak antar lintasan 10 m, dan jarak antar titik porous pot pada lintasan berjarak 10 m. Pengambilan data nilai potensial di lokasi penelitian dilakukan pada 120 titik pengukuran. Hasil pengukuran diperoleh variasi nilai potensial sebelum dilakukan koreksi sebesar -3,18 mV hingga 5,42 mV. Sedangkan variasi nilai potensial setelah dilakukan koreksi bernilai -7,98 mV hingga 6,36 mV. Sebaran lindi bawah permukaan diduga terakumulasi pada area dengan nilai potensial yang relatif lebih kecil dan bernilai negatif. Hasil interpretasi menunjukkan bahwa sebaran lindi mengalir dari arah barat dan terakumulasi pada arah timur hingga timur laut lokasi penelitian.
Pengaruh Variasi Jenis Bahan Terhadap Pengurangan Taraf Intensitas Bunyi Sandi, Dala Novika; Wahyuni, Dwiria; Nurhasanah, Nurhasanah; Muliadi, Muliadi; Hasanuddin, Hasanuddin; Nurhanisa, Mega
Jurnal Fisika Unand Vol 12 No 3 (2023)
Publisher : Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jfu.12.3.367-372.2023

Abstract

Acoustic materials such as plastic carpet, gypsum board, styrofoam and plywood can be used to reduce sound intensity. Nevertheless, the existing research has generally focused on single-ingredient studies. In this research, the optimum thickness of each material will be sought based on its efficiency in reducing the sound intensity level. Besides that, the efficiency of various types of materials will also be tested for reducing the level of sound intensity. In this study, a resonator tube was used in making measurements. Acoustic materials used as test materials, both single materials and combined materials, can be placed in the resonator tube. The distance between the sound source and the detector is 30 cm, with the position of the detector right behind the acoustic material. Tests on a single material show that the measured sound intensity level decreases in proportion to the thickness of the acoustic material, with styrofoam has the lowest efficiency. Meanwhile, the combined material that combines plastic carpet material at a frequency of 2000 Hz has an efficiency value that tends to be higher than the combination of materials without carpet with efficiency >30%. However, at a frequency of 1500 Hz, all combined materials have efficiency values that are not significantly different. All models of material combinations are proven to be able to reduce sound intensity levels compared to single materials. Thus, it can be concluded that the combined material has the potential as an efficient acoustic material.
Co-Authors . Apriansyah .B, Sunarti A. Kushadiwijayanto, Arie A.Nurrahman, Yusuf Abbas Baco Miro Abd, Misswar Abd. Kadir Abdal, Nurul Mukhlisah Abdilah, Muhammad Fariz Fata Abdul Aziz Abdul Hafid Abdul Haris Watoni Abdul Majid Abdul Rahman Abdul Rasyid Abdurahman Abdurrahman Abdurahman, Uray Muchlis Adawiah, Putri Rabiatul Ade Irawan, Muhammad Adelia Liemansyaputri , Maudy Adha, Zuhra Adiba, Fhatiah affrian, reno Afifa, Ridha Afrin, Rezuana Agus Fardesi Agus Perdana Windarto Agus Salim Agus Wahyudi Agustina, Sella Ahdan, Ahdan Ahmad Ahmad Ahmad Muchsin Jayali Ahmad Sholeh Ahmad Srinaldi Ahmad Watsiq Maula Ahmad Zulfan, Ahmad Ahmar, Ansari Saleh Ahmed, Ahmed Aida Silfia Aiman Abu Khair Ainun Mardiah Akbal, Fatimah Akbar Iskandar Al Ghifari, Faishal Alamudin, Muhammad Faiq Alfany, Chalida Alfiati, Helmi Ali Akbar Alkhairi, Putrama Almas, Almas Alyah, Nurul Amelia, Rezi Amin, Kasma F. Amin, Nurtaqwa Amna, Nurlaila Amrina Yusra Andi Farmadi Andi Ihwan Andi Mulkan Andriani, Cut Yessi Annisa Annisa Annisa, Cindy Fatika Nur Annisa, Dira Ayu Anshari, Muhammad Ridha Anton Widyanto Apriliansyah, Feby Arafat, Muhammad Yasser Arafat, Pratitou Arianto Arianto Arif Saputra, Arif Arifin, Jamaluddin Arista, Alfina Dian Arpandi, Arpandi Ary Antony Putra, Ary Antony Aryanti, Agustia Kuspita Asio Asio, Asio Aslinda, Aslinda Asni Asni Assaad, A. Istiqlal Asyadi, Teuku Murisal Athavale, Vijay Anant Athavale, Vijay Annant Aulia Nanda, Hafidz Aulia, Ivan Awadin, Adi Pratama Awalia , Reski Ayuni, Nurul Alifa Azkar, Nurul Azmi, Khusnul Ulul B, Rosleny Badali, Rahmat Amin Badarudin Bahaking Rama Bahar, Muhammad Mahdinul Bara, Unsi Andal Basimin, Mudzuna Quraisyah Baso, Fadhlirrahman Baturante, Nur Jannah Bayu Rangga Julian Bedjo Santoso Kadri Boy, Hendry Budi, Arief Setya Bukhari Busro, B. Caesary MP , Nurfadillah Cahya Wulandari Cecep Edi Hidayat Cendana, Adji Saputra Choiriyah Widyasari Cut Daili Dahlawy, Arriz Daili, Cut Dede Puspa Pujia Dedi Iskandar Dimas Chaerul Ekty Saputra Djalal Fuadi Dodon Turianto Nugrahadi Dwi Kartini, Dwi Dwi Wulan Sari Dwiria Wahyuni Dyah. P, RR. Ratnasari Eddy Kurniawan Ediwan, Ediwan Eka Prasetia Hati Baculu, Eka Erwina Erwina, Erwina Eva, Theresia F. Amin, Kasma Fadhillah, Muhammad Alif Fadillah, M. Surya Fahrezy, Irgy Ahmad Fahrul Rozi Farid Husni Husni Fatiha , Nurul Fatma Indriani Fauzi Fauzi Fauzi Fauzi Febiani, Astri Vitria Febrianti, Sri Fiansi, Fiansi Firdaus Firdaus Firman Firman Firmansyah, Aidil Firwan Moesnadi Fitri S Kasim Fitriani S.B Friska Abadi Fuad Ansyari*, Ahmad Gazi, Sydur Rahman Ghifari, Zarril Gojali, muhtar Gunawan, Arief Gunawan, Khairol Guntara, Erda Hadawiah, Hadawiah Hadi, Rizal Hafizah, Rini Hafsyaridewi, Hafsyaridewi Hakkun Elmunsyah Halik, Idham Hanapi, Hariani Hardi Hardi, Hardi Haritani, Hartini Haritani - Harun Joko Prayitno Hasanuddin Hasanuddin Hatizah, Meitisya Helena, Shifa Herteno, Rudy Hidayah, M. Fariq Hilda Ashari Hizir Sofyan Husaini Husen, La Ode Ibrahim, Muh. Rayes Idawati, Nora Idham Halid Idul Adnan Iistika, Iistika Ikha Safitri Irfana Diah Faryuni Irfandi Irfandi, Irfandi Irwan Budiman Irwan Nurdiansyah, Sy. ISLAMIYAH, NUR Isnandar Isrori, Indah Nahdiat Jamal Aswijar Jayanto, Dwiki Nur Joko Sampurno Jumadi Mabe Parenreng Jumarang, Muh Ishak JUMARDI Junaidi Junaidi Junaidi Kamal, Saiful Kamarullah Kamarullah Karmala, Karmala Kasmawan, Kasmawan Keumala, Cut Ratna Khairul, Moh Khofifah, A Sri Kholik Prasojo Khotimah, Yulia Azmi Komara, Osfir Candikia Rara Kruba, Rumaisa Kurniawan, Moh Rizky Kushadiwijayanto, Arie Antasari Kushadiwiojayanto, Arie Antasari Kuswana, Dadang La Ode Reskiaddin Landu, Anti Latifa, Latifa Lestari, Putri Riya Lia, Resky Amalia Liestianty, Deasy Linasari, Linasari M. Choiroel Anwar M. Khairul Rezki Mahalla, Mahalla Mahalla, Mahalla Maimun Maimun Maisa Maisa, Maisa Majid , Abd Majid, Abd. Mansyur Mansyur Mardalena, Selvi Mardiana Mardiana Marlinda Marlinda Martunis - Marwan, T Masdar Djamaluddin Masrukhi Masrukhi Massuro, Lusyndatul MAULA, PUTRINDA INAYATUL Maulana, Agung Lan Maulani Maulani, Maulani Maulidiyah Maulidiyah Mawaddah, Siti Afifah Md. Hossain Khan, Abu Abdulla Al-Mamun Mega Nurhanisa Miftahul Jannah Miharja, Muhammad Hidayat Jaya Millah, Asef Syaeful Minsas, Sukal Mislaini Mislaini Muh. Edihar Muh. Ishak Jumarang Muhammad Amin Muhammad Arif Muhammad Fauzi Muhammad Idris Muhammad Ilham Muhammad Itqan Mazdadi Muhammad Jabal Nur, Muhammad Jabal Muhammad Mursyidan Amini Muhammad Nurdin Muhammad Raudhi Azmi Muhammad Reza Faisal, Muhammad Reza Muhammad Riza Pahlevi Muhammad Zakir Muhammad Zuhdi Muhardi Muhardi Muhardi Muin, Nurmiah Mujahidah Mujahidah Mujibul Ikhsan Mulyadi Mulyadi Munandar, Tri Imam Muslimin, Abdul Azis Mustafa, Linda Kurnia Muttaqin Mustari , Andi Muzakkar, Muhammad Zakir Muzdalifa, Eccy Sitti N. Nazaruddin Nasruddin Nasruddin Nazaruddin, Nazaruddin Noorhafizi, Muhammad Nur Afnih, Dwi Nuraini - - nuramalia, Tri Nurcahyati, Ica Nurdiansyah Nurdiansyah Nurdiansyah, Syarif Irwan Nurdin Nurdin Nurfadillah Nurfadillah Nurfatimah Sugrah Nurhasanah Nurhasanah Nurinsan , Muh. Rifky NURLIANA NURLIANA Nurmawaddah , Nurmawaddah Nurmiani, Nurmiani Nurul Islam Nuzulul, Ririn Chintia Okto Ivansyah Padlurrahman, Padlurrahman Patola, Basri Perdana, Radhitya Perdhana, Radhitya Prasetya, Irvan Nur Pratama, Farhan Pratiwi, Nabella Dwi Prayitno, Dwi Imam prayoga, Akbar Pristi, Eka Destriyanto Purnomowati, RR Ratnasari Dyah Putri, Adelia Kurnia Putri, Andini Aurelia Putri, Ulayya Putri, Wanda Muliandira Rabiah, Sitti Raden Mohamad Herdian Bhakti Raditya, Virgi Atha Radityo Adi Nugroho Rahim, Rahim Rahman , Abdul Rahmat Kartolo Rahmat Rahmat Rahmi Dewanti Palangkey Rajai, Afdhalul Ramadansyah, Agung Ramadeska, Siti Ramadhan, Aldy Ramadhan, Maidy Ramadhan, Rafsanjani Ramli, Ahmad Reca Reca Reskika, Sari Rezki Pratama Putra , Andi Riana Nurmalasari Ribuan, Ribuan Ridwan Arifin Ridwan, M. Arif Rifai, Riski Thamrin G. Riska, Muhammad Risko, Risko Risnayanti, Risnayanti Riyan Maulana Riza Adriat Rizal, Agus Rizki Afriadi Rizky, Muhammad Miftahur Rohmah, Nanda Dwi Rohman Rohman Rohman, Hizqil Fadl Rosmalah Rosmalah, Rosmalah Rozanna Dewi Rozaq, Hasri Akbar Awal Rozaq, Hasri Awal Akbar Rudi, David Rudy Herteno Rukayah Rukayah Rukhayati Ruslan Ruslan Rusliana, Iu S.J Sofiana, Mega Sabir, Achmad Safitri, Desti Suci Saharuddin, Yusliani Sahdan, Putri Saleh, Ramlah Salsabila Nurul Imam, Jahira Samsuria, Samsuria Sandi, Dala Novika Saputra, Irka Saragih, Triando Hamonangan Sari, Anggi Novita Sasmita, Novi Reandy Satriani Satriani Seppa, Yusi Irensi Setyo Wahyu Saputro Shamim Al Mamun, Shamim Al Shiddiq, Wafi Sinta, Sinta Siti Suwadah Rimang, Siti Suwadah Sitti Jauhar Sitti Jauhar, Sitti Solihin, Muhtar Solikhun Solikhun, Solikhun Suara, M. Teguh Jaka Satya Samudra Jati Subarsyah Subarsyah Subhan Subhan Subhan Subhan Sudarto Sudarto Sudirman Suhada, Ade Anang Sujarwan, Fahrul Sukarsih Sukarsih, Sukarsih Sulhatun Sulhatun Sulistina, Sulistina surayah, surayah Sutardi, Edi SUTIKNO Syaadah, Himatus Syahrial Ayub, Syahrial syamsidar syamsidar Syamsuddin Syamsuddin Syamsul Hadi Syarafina, Risky Haezah Syukri Syukri Syukri Syukri Syukri Syukri Syukri Tasya Putri Nurhayat Taufiq, Wildan Taufiq, Wildan Tazkiyatunnafs Elhawwa Teuku Mahmuda Rahmat Rezki Teuku Multazam Teuku Rizky Noviandy Teuku Sufriadi Ramadhani Teuku Zulfadli Thaha, Abd Rahim Trisnadi, Yogi Septia Ulpa, Mirnawati Ulya, Azizatul Usman, Harlina Utami, Reksi Wahyu Hidayat M Wahyuni , Maya Sari Wahyuniarti, Retno Warsidah, Warsidah Wasik, Abdul Widarda, Dodo Widiantoro, Aldy Wiguna , Anggri Sartika Windiahsari, Windiahsari Wulandari, elysa Yarmaliza YILDIZ, Oktay Yoga Satria Putra Yudistira, Saptanadi Yuris Sutanto Yusuf Arief Nurrahman Zahirah, Putri Zahriah, Zahriah Zaidah, Nurul Zelfia Zulfian Zulfian Zulfikri Zulfikri, Zulfikri Zulnazri, Z `B Aritonang, Anthoni