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Anam, M Khairul

Universitas Samudra

Author-ID : 1573830

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Sentiment Analysis of Technology Utilization by Pekanbaru City Government Based on Community Interaction in Social Media Bunga Nanti Pikir; M. Khairul Anam; Hadi Asnal; Rahmaddeni; Triyani Arita Fitri; Hamdani
JAIA - Journal of Artificial Intelligence and Applications Vol. 2 No. 1 (2021): JAIA - Journal of Artificial Intelligence and Applications
Publisher : STMIK Amik Riau

Government services for the public are currently utilizing technology, especially in the city of Pekanbaru. The government has currently centralized all services for the public, both online and offline, in public service malls. The type of service that uses technology, especially for online services, has received criticism in online media such as Twitter. To see the public's response to Pekanbaru city government services, especially in terms of technology, this study will use sentiment analysis to see positive, negative, and neutral comments. The method used is to see the accuracy generated using the NaÃ¯ve Bayes Classifier (NBC) method. Bayes classifier is a statistical classifier, where the classifier can predict the probability of class membership of a data tuple that will fall into a certain class, according to the probability calculation. Accuracy results are obtained by dividing training data and testing data with a comparison of 70%:30% with an accuracy value of 55.56%, Precision 64%, recall 80%, f-score 71.2%.

Utilization of E-Voting as A Medium for Decisions Making on The Use of Village Funds M. Khairul Anam; Mega Susanti; Susanti Susanti; Nurjayadi Nurjayadi; Helda Yeni
AITI Vol 19 No 2 (2022)
Publisher : Fakultas Teknologi Informasi Universitas Kristen Satya Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24246/aiti.v19i2.185-198

Each region in Indonesia has advantages and disadvantages, such as location, facilities, and infrastructure. These advantages and disadvantages give rise to social inequalities, especially in rural areas. To minimize social inequality, the government provides village funds that can be used to build facilities and infrastructure, training, and tourism development through Village-Owned Enterprises (BUMDes). The use of village fund assistance is discussed in village council meetings with the community. Some of the obstacles faced in the deliberations are the minimal attendance of participants, less than optimal participants getting information and giving opinions, and the corona virus-19 pandemic. Public concern about the COVID-19 pandemic has turned face-to-face meetings into virtual ones. In this study, public opinion obtained from village e-voting is processed using TF-IDF which aims to give weight to words as a reference in determining development priorities and empowerment needed by the community. After the system is completed, the system is tested with three characteristics of ISO 9126: usability, efficiency, and functional test. The results obtained from testing ISO 9126 are 86.5% for usability, 80% for efficiency, and 75.5% for functionality. TF-IDF generates requests for empowerment, improved facilities and infrastructure, and education. In the word cloud, empowerment becomes the most dominant, depicting it as the biggest. The results showed that the community's priorities and the results of the system were running well.

Analisis Faktor Hasil Produksi Kelapa Sawit Menggunakan Regresi Linier Berganda Studi Kasus : Koperasi Unit Desa (KUD) Setia Kawan Desa Koto Damai Rohmat Romadhoni; Rini Yanti; Torkis Nasution; Khairul Anam
Formosa Journal of Science and Technology Vol. 1 No. 4 (2022): August 2022
Publisher : PT FORMOSA CENDEKIA GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55927/fjst.v1i4.903

Produktivitas kelapa sawit Pada KUD Setia Kawan dalam rentang umur kelapa sawit 18 sampai 23 tahun berada dibawah kondisi ideal. Didalam kondisi itu juga terjadi kenaikan dan penurunan. Analisis faktor penyebab terjadinya kenaikan dan penurunan berguna untuk mengetahui informasi sebagai bahan perencanaan dan pengambilan keputusan terkait produktivitas kelapa sawit. Penelitian ini dilakukan dengan menggunakan metode regresi linier berganda untuk mengetahui pengaruh curah hujan (), pupuk () dan pekerja () sebagai variable bebas terhadap hasil produksi () sebagai variable tidak bebas menggunakan bahasa Python. Data yang digunakan penelitian ini adalah data tahun 2016 – 2021 yang diperoleh langsung dari pengurus KUD Setia Kawan Desa Koto Damai. Berdasarkan analisis menggunakan regresi linier berganda menunjukkan bahwa semua variabel bebas mempengaruhi hasil produksi () sebesar 0.20 untuk curah hujan (), 3.77 untuk pupuk () dan 24.74 untuk pekerja (). Nilai F-hitung dan T-hitung menyatakan bahwa curah hujan, pupuk dan pekerja berpengaruh signifikan terhadap hasil produksi. Untuk koefisien korelasi R2, variabel bebas curah hujan, pupuk dan pekerja hanya mempengaruhi hasil produksi sebesar 52,8%, sedangkan sisanya di pengaruhi oleh faktor lain yang tidak diteliti.

Workshop Office Integration untuk Pembuatan Laporan Prakerin pada Siswa Magang di STMIK AMIK Riau M. Khairul Anam; Triyani Arita Fitri; Hamdani; Susandri; Susi Erlinda
J-PEMAS - Jurnal Pengabdian Masyarakat Vol. 3 No. 2 (2022): Jurnal Pengabdian Masyarakat J_PEMAS
Publisher : STMIK Amik Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33372/j-pemas.v3i2.851

Praktek Kerja Industri (Prakerin) merupakan kegiatan pendidikan, pelatihan, dan pembelajaran bagi siswa SMK (Sekolah Menengah Kejuruan) yang dilakukan di dunia usaha atau dunia industri yang berkaitan dengan kompetensi siswa sesuai bidang yang digelutinya. Kegiatan ini dilaksanakan dalam jangka waktu tertentu sesuai dengan kurikulum dan kebutuhan kerja. Terdapat beberapa persiapan yang harus diketahui oleh para siswa menjelang pelaksanaan kegiatan Prakerin , salah satu persiapan yang esensial adalah penguasaan materi penulisan karya ilmiah, khususnya penyusunan laporan Prakerin. Kondisi yang ditemukan saat ini adalah masih rendahnya tingkat pemahaman dan pengalaman praktis siswa terkait penulisan laporan Prakerin. Kegiatan Pengabdian Kepada Masyarakat (PKM) ini bertujuan untuk melatih dan meningkatkan kemampuan siswa SMK dalam menulis laporan Prakerin. Materi yang diberikan pada pelatihan ini tentang pembuatan daftar isi, gambar, dan tabel secara otomatis. Selain itu juga diberikan cara pembuatan daftar pustaka dengan menggunakan Mendeley. Kegiatan ini diikuti oleh 20 orang siswa dari tiga (7) SMK di kota Pekanbaru yang sedang melaksanankan kegiatan Prakerin di STMIK Amik Riau . Hasil dari kegiatan ini meningkatnya kemampuan siswa dalam menggunakan fitur Office Integration dan Aplikasi Mendeley sebagai library dalam pembuatan laporan Prakerin serta meningkatnya pemahaman siswa dalam penulisan karya ilmiah.

SISTEM MONITORING PERSEDIAAN STOK ONDERDIL MENGGUNAKAN METODE REORDER POINT PADA SANI COMPUTER Hadi Asnal; Nasrul Sani; M Khairul Anam; Susi Erlinda; muhamad Jamaris
JSR : Jaringan Sistem Informasi Robotik Vol 6, No 2 (2022): JSR : Jaringan Sistem Informasi Robotik
Publisher : AMIK Mitra Gama

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

Sani Computer merupakan sebuah toko yang menyediakan kebutuhan onderdil (suku Cadang) Computer dan laptop yang berlokasi di kota Pekanbaru. Selama ini permasalahan pemantauan jumlah stok Stok tidak diperhitungan dalam melakukan transaksi pemesanan Stok, ini menimbulkan terjadinya salah prediksi pada kapasitas jumlah pada gudang yaitu kelebihan atau kekurangan stok. Karena proses pengolahan data transaksi yang ada masih dilakukan secara manual sehingga mengakibatkan salah prediksi informasi Stok. jadi informasi ketersediaan Stok berdampak pada proses jual beli yang dilakukan di toko. Untuk mengatasi permasalahan yang ada, dibangunlah “Sistem Monitoring Persediaan Stok Onderdil Menggunakan Metode Reorder Point Pada Sani Computer”. Metode Reorder Point (ROP) merupakan saat dimana perusahaan harus melakukan pemesanan kembali sebelum persediaan Stok yang ada digudang habis. Pada penggunaan metode reorder point maka Sani Computer membutuhkan nilai penjualan maksimum, penjualan rata-rata, lead time, dan safety stock. Dan untuk pengujian menggunakan Blackbox, untuk menyatakan bahwa seluruh kebutuhan pengguna telah terpenuhi secara keseluruhan. Agar pengelola toko nantinya bisa menggunakan sistem ini dengan mudah, untuk kualitas sistem biasa meyediakan informasi yang lebih akurat.

Sistem Prediksi Keuntungan Influencer Pengguna E-Commerce Shopee Affiliates menggunakan Metode Naïve Bayes Susanti Susanti; Aisum Aliyah Sari; M. Khairul Anam; Muhamad Jamaris; Hamdani Hamdani
Jurnal Pendidikan Informatika (EDUMATIC) Vol 6 No 2 (2022): Edumatic: Jurnal Pendidikan Informatika
Publisher : Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/edumatic.v6i2.6787

Shopee Affiliate is one of Shopee's e-commerce programs to make it easier to market products. However, with the popularity of this program, there are still many people who do not know the advantages of this program. As a result, in this e-commerce, not all sellers benefit (loss) from the products sold. In order to avoid the problem of losses on marketed products, this study aims to produce a profit prediction system for shoppe affiliate e-commerce users. To build the system, this research uses the waterfall method which is used to complete the prediction system. The first stage is to collect data from social media and references related to the prediction system, then design a prediction system, after carrying out the process of system creation and implementation and testing. The test uses blackbox to test the system and accuracy test to determine the level of accuracy of this system. The result of this prediction system is to gain knowledge in the form of profit rate patterns of influencers of shopee affiliate e-commerce users. Testing the accuracy of the system built has a very good performance with a percentage of 100%. So that the profit prediction of shopee affiliate e-commerce users is feasible to be implemented. With this system, it is hoped that the community will be able to increase sales at e-commerce shopee.

PROTOTYPE SMART TIME SCHEDULER LAMPU LALU LINTAS MENGGUNAKAN ALGORITMA HAAR CASCADE Neci Nirwanda; Helda Yenni; M. Khairul Anam; Lathifah Lathifah
Jurnal Teknoinfo Vol 17, No 1 (2023): Vol 17, No 1 (2023): JANUARI
Publisher : Universitas Teknokrat Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33365/jti.v17i1.2395

The traffic light functions as a traffic controller at crossroads and also as smoothness at intersections to avoid congestion. The current application of conventional traffic lights still has weaknesses in determining the duration of traffic lights which are not adjusted to the number of vehicle volumes which often change every time. Especially when there is a dense flow of vehicles at intersections, especially at certain times. Based on observations of traffic density at the intersection that connects Soekarno - Hatta road and Arifin Achmad road in Pekanbaru City. There is often a high density of vehicles from the direction of Jalan Soekarno-Hatta (Morning Market) to Jalan Jenderal Sudirman during working hours so that the duration of the traffic lights cannot reduce the amount of queue density in the light traffic. The implementation of the Smart Time Scheduler is a solution for adjusting the duration of traffic lights based on the level of traffic density, by building a tool to detect and calculate the number of vehicle queues at the Traffic Light and then enter the calculation results into 3 categories, namely Normal, Medium and Dense Density. The system uses Haar Cascade with the open cv library on the Raspberry pi, the results of the system testing that has been carried out can count the number of vehicles and instruct Arduino to set the duration of the traffic lights where in the category of normal vehicle queues, the green traffic light gets a waiting time of 10 seconds in countdown, Moderate category for 15 seconds, and Solid Category, for 20 seconds, while the calculation error value uses the Error Percentage equation formula, namely comparing the results of vehicle calculations by the system with Manual Calculation Results multiplied by 100% Then the System Calculation Error is 16% and the accuracy level of the tool is 100% - 16% = 84%, the size of the error value is influenced by the quality of the light intensity, and the distance of the camera's detection of the object when performing the detection.

IMPLEMENTASI SISTEM RENCANA PEMBELAJARAN SEMESTER BERBASIS WEB UNTUK MEMPERMUDAH PROSES PEMBELAJARAN Tengku Alvin Firdaus; Rinno Hendika Putra; Fajar Arifandi; M. Khairul Anam; Lathifah Lathifah
Jurnal Teknoinfo Vol 17, No 1 (2023): Vol 17, No 1 (2023): JANUARI
Publisher : Universitas Teknokrat Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33365/jti.v17i1.2348

Rencana Pembelajaran Semester adalah rencana studi yang menjadi pedoman bagi pengajar dan mahasiswa untuk melakukan aktivitas perkuliahan.selama.satu..semester.untuk..mencapai..pembelajaran..yang..telah ditentukan. Dosen diharuskan menyusun Rencana Pembelajaran Semester sebelum perkuliahan dilaksanakan. Rencana dalam mengajar adalah pedoman atau instruksi untuk proses pembelajaran yang dikenal sebagai Rencana Pembelajaran Semester, dimana pada sistem tersebut memiliki hasil akhir yang diinginikan, serta berisi materi yang akan diajarkan, kegiatan belajar mengajar dan alat yang digunakan. Pada kampus STMIK Amik Riau masih menggunakan sistem manual dengan memanfaatkan Microsoft Word sebagai aplikasi dalam pembuatan perencanaan pembelajaran semester. Setiap dosen harus mengisi RPS terkait matakuliah yang diambil pada form yang di buat pada Microsoft Word. Oleh karena itu, perlunya pembuatan sistem RPS di STMIK Amik Riau. Sistem RPS ini dibuat untuk memudahkan dosen dalam melakukan pengisian Rencana Pembelajaran Semester. Sistem ini menggunakan kerangka kerja CodeIgniter (CI) untuk mempermudah dalam pembuatan sistem. Extreme Programming adalah salah satu metode pengembangan sistem yang dianggap cocok dalam membangun sistem RPS berbasis web yang dilakukan secara efisien dan membutuhkan perubahan yang cepat dan fleksibel di setiap tahapannya. Extreme Programming terdiri dari fase Planning, Design, Coding dan Testing hingga perangkat lunak yang dibuat diriliskan. Sebelum sistem RPS ini dirilis, pengujian diperlukan untuk memprediksi terjadinya kesalahan fungsional. Pengujian yang dilakukan dalam penelitian ini dilakukan menggunakan metodologi pengujian Black Box. Pada setiap tahap, penelitian ini memprioritaskan interaksi berulang (iterative) dengan pengguna untuk memastikan bahwa dapat memenuhi kebutuhan semua pengguna secara memadai dalam mengembangkan sistem perencanaan pembelajaran semester. Penelitian ini menggunakan Bahasa pemrograman Hypertext Preprosessor atau yang biasa dikenal dengan (PHP) dan MySQL sebagai manajemen basis data. Hasil dari penelitian ini adalah sistem Rencana Pembelajaran Semester berbasis web yang dapat mempermudah dosen dalam membuat dan mengumpulkan RPS, serta dapat mempermudah pencarian data saat diperlukan.

Sentiment Analysis of the Convict Assimilation Program on Handling Covid-19 Aniq Noviciatie Ulfah; M Khairul Anam; Novi Yona Sidratul Munti; Saleh Yaakub; Muhammad Bambang Firdaus
JUITA : Jurnal Informatika JUITA Vol. 10 No. 2, November 2022
Publisher : Department of Informatics Engineering, Universitas Muhammadiyah Purwokerto

Coronavirus Disease-19 (Covid-19) is an infectious disease caused by the SARS-CoV-2 virus. The rapid spread of this disease has affected 216 other countries and regions, including Indonesia. In minimizing the spread and increasing losses, it is necessary to have several policies made by the Indonesian government in dealing with this. One of the policies taken by the government is the Convict Assimilation Program to prevent the spread of the virus in prisons. The Prisoner Assimilation Program fosters inmates by integrating prisoners into social life. Many media reported on the assimilation program in various media, including news portals, so that it became a forum for the public to express their opinions. News portals can be a source for getting public opinion. Therefore, sentiment analysis can be done to determine the sentiment of any existing public opinion. In this study, the analysis was carried out by applying one of the data mining methods, namely the Support Vector Machine, with positive, negative, and neutral sentiment labeling. The data used is audience comments in Indonesian with a dataset of 404 comments and then resampled so that the number of data becomes 669. The analysis uses the kernel Radial Basis Function (RBF), RBF with Grid Search, Polynomials, and Polynomials with grid search. Kernel RBF and Kernel Polynomial with Grid Search comparing test and training data 80%:20% with the highest accuracy of 95%.

Sentiment Analysis of Online Lectures using K-Nearest Neighbors based on Feature Selection Junadhi; Agustin; Mi’rajul Rifqi; M. Khairul Anam
Jurnal Nasional Pendidikan Teknik Informatika : JANAPATI Vol. 11 No. 3 (2022)
Publisher : Prodi Pendidikan Teknik Informatika Universitas Pendidikan Ganesha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23887/janapati.v11i3.51531

Online lecture is a distance learning system that utilizes information technology in its implementation. Although it has been agreed, this lecture system has caused controversy. Not infrequently online lectures are considered to bring a variety of new obstacles in lectures, and not a few also consider that online lectures are the most appropriate solution to continue to run lecture activities in the midst of alarming pandemic conditions. In response to this policy, many people expressed various kinds of opinions and views on the implementation of online lectures which are generally stated on social media, one of which is through Twitter. Sentiment analysis is a branch of the science of machine learning that is carried out to obtain useful information or new knowledge by extracting, understanding, and processing text data automatically. Several methods are widely used by researchers to classify sentiment analysis datasets including K-Nearest Neighbor (K-NN). K-NN will be adapted to classify online lecture datasets because K-NN can produce good accuracy on a large number of data. The presence of feature selection also helps machine learning in improving its performance. The purpose of this study was to determine student sentiment toward online lectures and to determine the level of accuracy of the combination of K-NN with various feature selections. Based on 780 tweets data, a classification of 394 positive sentiments, 320 negative sentiments, and 39 neutral sentiments was obtained. So, the results of student opinions are on POSITIVE sentiments. The accuracy result of the K-NN Algorithm was 56% and the accuracy of the K-NN Algorithm + Forward Selection was 51%, the accuracy of the KNN Algorithm + Adabost was 54%, and the accuracy of the KNN Algorithm + Genetic Algorithm was 55%.

Co-Authors -, Tashid Abrar Hadi Ade Riyanda Putra Adi Surya Darma Agustin Agustin Agustin Agustin Agustin Agusviyanda Agusviyanda Agusviyanda Ahmad Ihsan Ahmad Tantoni Ahmad Zamsuri Ahmad Zamsuri, Ahmad Aisum Aliyah Sari Akram, Rizalul Al Amin Fadillah Sani Alfa Saleh Alfisyahrin Alfisyahrin Alkadri Masnur Ambiyar, Ambiyar Andesa, Khusaeri Andi Supriadi Chan, Andi Supriadi Anwar, Reksi Aprillian Kartino Arba, Muhammad Hendra Arda Yunianta Arda Yunianta Arief Hidayat Arita Fitri, Triyani Arsyah, Ulya Ilhami Atalya Kurnia Sari Atmaja, Teuku Hadi Wibowo Ayu Mahessya, Raja Bambang Kurniawan Br.Situmorang, Elisabet Sinta Romaito Budiman, Edy Budiman, Edy Bunga Nanti Pikir Bunga Nanti Pikir Chatarina Umbul Wahyuni Cut, Banta Damar Sanggara Habibie Daryanto, Diki Dea Safitri Dedy Irfan Devi Yuliana Dewi Sari Wahyuni Dewi Sari Wahyuni Didik Sudyana Didik Sudyana Diki Daryanto Diky Daryanto Eddy Kurniawan Pradana Efrizoni, Lusiana Emerlada, Esi Tri Erlin Erlin Erlinda, Susi Ersan Fadrial, Yogi Esi Tri Emerlada Fadli Suandi Fahrul Yamani Fajar Arifandi Fajrizal Fatdha, T.Sy. Eiva Faza Alameka Fernando Elda Pati Fika Felanda Ardelia Firdaus, Muhammad Bambang Fransiskus Zoromi Fransiskus Zoromi Fransiskus Zoromi Fransiskus Zoromi, Fransiskus Fryonanda, Harfebi Gendhy Dwi Harlyan Gubtha Mahendra Putra Gunadi Gunawan, Chichi Rizka Habibi Ulayya Hadi Asnal, Hadi Hairah, Ummul Hamdani Hamdani Hamdani - Hamdani . Hamdani Hamdani Hamdani Hamdani Hamdani Hamdani Hanif Aulia Happy Yugo Prasetiya Haris Kurniawan, Haris Hasan J. Alyamani Haviluddin Haviluddin Hazira, Nadila Helda Yeni Helda Yenni Helda Yenni, Helda Hendra Saputra Hendrawan, Riki hendri, nofri Herianto Herianto Herwin Herwin Herwin Herwin, Herwin Ike Yunia Pasa Ikhsan Ikhsan Imam Andhika Indah Mukhlis Tamara Indra Prayogo Indra Prayogo Indri Febrianti Irfan Putra Pratama Irfansyah Irfansyah Irsyad, Akhmad Irwanda Syahputra Irwanda Syahputra Irzal Arif Wisky Istianah Istianah Jamaris, Muhamad Jamaris, Muhammad Jasmarizal Jetno Harja Junadhi Junadhi Junadhi Junadhi Junadhi, Junadhi Kadek Mirnawati Karfindo, Karfindo Karpen Karpen Kartina Diah K. W. Kharisma Rahayu Khusaeri Andesa Khusaeri Andesa Kresnapati, I Nyoman Bagus Aji Kudadiri, Parlindungan Lathifah Lathifah Lathifah Lathifah Lathifah Lathifah Lathifah Lathifah Lathifah, Lathifah Latifah Liza Fitria Lucky Lhaura Van FC Lucky Lhaura Van FC, Lucky Lhaura Lusiana Lusiana Efrizoni Lusiana Efrizoni Lusiana Lusiana M Syauqi Hafizh M. Ikhsan Wibowo Machdalena Mahamad, Abd Kadir Mahendra, Muhammad Ihza Mardainis Mardainis Mardainis Martilinda Panjaitan Mega Susanti Mega Susanti Melda Royani Michal Dennis Michel Kasaf Mi`rajul Rifqi Mohamad, Nur Ikhwan Bin Muhaimin, Abdi Muhamad Jamaris Muhamad Sadar Muhamad Sadar, Muhamad Muhammad Bambang F Muhammad Bambang Firdaus Muhammad Bambang Firdaus Muhammad Bambang Firdaus Muhammad Budi Saputra muhammad Fuad Muhammad Ikhsan Wibowo Muhammad Nur Ihwan Muhammad Wisdan Pratama Putra Muhammad Yusuf Halim Munawir Munawir Munawir Munawir Munawir Mutiana Pratiwi N.A, Randi Nadila Rahmadhani Nadya Alinda Rahmi Nadya Satya Handayani Nanda, Novianda Nanda Nariza Wanti Wulan Sari Nasrul Sani Neci Nirwanda Nisa, Aida Nora Lizarti Novi Yona Sidratul Munti Novia Arista Nu'man, Nu'man Nurhuda, Agus Tri Nurjayadi Nurjayadi Nurjayadi Nurjayadi Nurul Fadillah Nurul fadillah, Nurul Nurul Indriani Nurwijayanti Pandu Pratama Putra, Pandu Pratama Paradila, Dinda Parlindungan Kudadiri Permana, Randy Pradipta , Rahman Pranata, Angga Purwanto Putra, Ryanda Satria Rahmaddeni Rahmaddeni Rahmaddeni Rahmaddeni Rahmi, Nadya Alinda Rahmiati Rahmiati Rahmiati Rebecca La Volla Nyoto Refni Wahyuni Reksi Anwar Rini Yanti Rini Yanti Rini Yanti Rinno Hendika Putra Rio Andika Malik Rivaldi Dwi Andhika Rohana Yola Parastika Hutasoit Rohmat Romadhoni Rometdo Muzawi Ruri Hartika Zain Saiful Bukhori Saiyaratul Mawaddah Salsabila Rabbani Salsabila Rabbani Saon, Sharifah Saputra, Eko Ikhwan Sari Irma Yani Sitorus Sari, Atalya Kurnia Sarjon Defit Silvyana Dwi Putri Sofiansyah Fadli Sofiansyah Fadli Soni Sovia, Rini suaidah suaidah Sumijan Sumijan Susandri, Susandri Susanti Susanti Susanti Susanti Susanti Susanti Susanti, Mega Susanti, Susanti SUSI ERLINDA Susi Erlinda Susi Erlinda Syam, Salmaini Safitri Syamsiar, Syamsiar T. Sy. Eiva Fatdha Taruk, Medi Tashid Tashid Tashid Tatang Hidayat Taufik Taufik Tejawati, Andi Tengku Alvin Firdaus Teri Ade Putra Tjut Rizqi Maysyarah Hadi TM Rezaka Alfitra Torkis Nasution Tri Putri Lestari Tri Putri Lestari Tri Putri Lestari Tri Putri Lestari Tri Putri Lestari, Tri Putri Triyani Arita Fitri Ulfah, Aniq Noviciate Wahyudianto, Mochamad Rizky Waksito, Alan Zulfikar Waskita, Ghozi Indra Wifra, Rizki Wirta Agustin Wirta Agustin Yaakub, Saleh Yansyah Saputra Wijaya Yenni, Heda Yesaya Twin Situmorang Yesri Elva Yogi Ersan Fadrial Yogi Yunefri, Yogi Yoyon Efendi Yuda Irawan Yudhistira, Dewangga Yumami, Eva Zainal Arifin Zeki Kurniadi zeki Kurniadi Zupri Henra Hartomi

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