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Anam, M Khairul

Universitas Samudra

Author-ID : 1573830

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Penerapan Model Technology Readiness Index untuk Mengukur Tingkat Kesiapan Mahasiswa dalam Penerimaan Sistem E-Polvot Anam, M Khairul; Zoromi, Fransiskus; Soni; Nasution, Torkis; Andesa, Khusaeri
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 10 No 6: Desember 2023
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jtiik.2023107368

BEM (Badan Eksekutif Mahasiswa) merupakan ujung tombak dalam menjalankan tata pemerintahan di kalangan mahasiswa dan media untuk menyampaikan aspirasi baik berupa kesejahteraan, keamanan baik secara lisan maupun dalam tulisan kepada perguruan tinggi. Pemilihan BEM di perguruan tinggi rutin dilaksanakan setiap setahun. Namun dalam pemilihan BEM, beberapa mahasiswa tidak dapat menggunakan hak memilih karena keterbatasan waktu yang disediakan oleh panitia pemilihan. Dalam pelaksanaan pemilihan, disediakan 3 jenis waktu perkuliahan, yaitu regular siang jam 08.00 – 17.00, malam jam 17.45 – 09.30, dan non-reguler diadakan perkuliahan jarak jauh atau online setiap akhir pekan. Untuk pemilihan biasanya mahasiswa reguler malam dan non reguler tidak melakukan voting atau pemilihan dikarenakan waktunya diadakan siang hari. Untuk mengatasi permasalahan tersebut perlunya sebuah sistem bisa digunakan dimana saja tanpa harus datang ke kampus. Salah satu sistem yang dapat digunakan adalah e-polvot atau elektronik polling dan voting. Namun untuk menghadirkan sistem tersebut perlu kesiapan baik dari infrastruktur maupun pengguna. Penelitian ini melakukan analisis terhadap kesiapan mahasiswa STMIK Amik Riau dalam penerimaan sistem e-polvot. Tujuan penelitian adalah menganalisis kesiapan mahasiswa menggunakan sistem e-polvot. Analisis kesiapan mahasiswa menggunakan model Technology Readiness Index (TRI). Model ini memiliki 4 variabel yaitu Optimism, Innovativeness, Discomfort dan Insecurity. Populasi yang digunakan dalam penelitian ini adalah seluruh mahasiswa STMIK Amik Riau dengan teknik total sampling. Hasil yang didapatkan pada penelitian ini yaitu mahasiswa STMIK Amik Riau siap untuk menerima sistem e-polvot. Hal ini dilihat dari nilai yang didapatkan dari pengukuran ini adalah 3,93 yang dikategorikan HIGH. Abstract The Student Executive Board (BEM) plays a pivotal role in governing students and serves as a platform to express aspirations, both in terms of welfare and security, through both oral and written means to the university. BEM elections at the university are regularly conducted annually. However, in the BEM elections, some students are unable to exercise their voting rights due to time constraints set by the election committee. The election process offers three types of lecture schedules: regular daytime from 08:00 to 17:00, evening lectures from 17:45 to 09:30, and non-regular lectures held during weekends for distance or online learning. Consequently, regular evening and non-regular students often abstain from voting or participating in the election due to the daytime scheduling. To address this issue, a system is needed that can be accessed from anywhere without physically coming to the campus. One such system that can be used is the e-polvot or electronic polling and voting system. However, implementing such a system requires readiness in terms of infrastructure and user acceptance. This research aims to analyze the readiness of STMIK Amik Riau students in accepting the e-polvot system. The research objective is to assess the readiness of students in using the e-polvot system. The analysis of students' readiness utilizes the Technology Readiness Index (TRI) model, which consists of four variables: Optimism, Innovativeness, Discomfort, and Insecurity. The population used for this study comprises all students of STMIK Amik Riau, and the total sampling technique is employed. The findings of this research indicate that the students of STMIK Amik Riau are ready to accept the e-polvot system, as evidenced by a TRI score of 3.93, which falls into the "HIGH" category.

Comparison of Support Vector Machine and Random Forest Algorithms for Analyzing Online Loans on Twitter social media Hamdani; N.A, Randi; M. Khairul Anam
JAIA - Journal of Artificial Intelligence and Applications Vol. 4 No. 1 (2024): JAIA - Journal of Artificial Intelligence and Applications
Publisher : STMIK Amik Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33372/jaia.v4i1.1087

Online loans represent a form of financial service wherein borrowers can apply for loans through digital platforms without the need to visit physical offices. The application, approval, and disbursement processes are conducted online, leveraging technology to facilitate financial access and transactions. However, some online lending services impose high-interest rates, resulting in a significant financial burden for borrowers. Moreover, there are instances of inappropriate debt collection practices, such as contacting the borrower's friends or family, leading to discussions and comments on social media platforms like Twitter. This research aims to analyze the patterns of comments in Indonesian society regarding online lending. The study utilizes sentiment analysis and compares machine learning algorithms to assess their accuracy. The algorithms employed in this study are Support Vector Machine (SVM) and Random Forest. The results indicate that the SVM algorithm achieves an accuracy of 93.85%, while Random Forest achieves an accuracy of 91.62%.

LITERASI DIGITAL DALAM PENGEMBANGAN PEMBELAJARAN ARTIFICIAL INTELLIGENCE BAGI GURU SMKN 2 PINGGIR Yunefri, Yogi; Ersan Fadrial, Yogi; Sutejo; Sadar, Muhamad; Anam, M. Khairul
J-COSCIS : Journal of Computer Science Community Service Vol. 4 No. 2 (2024): J-COSCIS : Journal of Computer Science Community Service
Publisher : Fakultas Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31849/jcoscis.v4i2.19135

Guru di SMKN 2 Pinggir memerlukan literasi digital yang tinggi untuk mengintegrasikan AI dalam pembelajaran dan mengembangkan media pembelajaran yang relevan dengan teknologi terkini. Pengabdian masyarakat dapat membantu guru-guru ini memahami, mengembangkan, dan mengadopsi AI dalam pendidikan. Melalui analisis situasi mendalam, solusi yang tepat dapat dirancang sesuai kebutuhan mereka. Keterbatasan pengetahuan dan keterampilan dalam literasi digital dan penggunaan AI adalah masalah utama yang dihadapi. Dengan solusi yang dirancang khusus, pengabdian masyarakat dapat membantu guru SMKN 2 Pinggir mengatasi hambatan tersebut, meningkatkan literasi digital, dan mengadopsi teknologi AI dalam pembelajaran. Metode pelaksanaan yang digunakan harus mencakup pengenalan AI, aplikasi AI dalam pembelajaran, alat-alat relevan, dan pengembangan media pembelajaran berbasis AI. Pendekatan ini akan memastikan program pengabdian masyarakat berjalan efektif dan memberikan manfaat nyata bagi guru-guru SMKN 2 Pinggir dalam meningkatkan literasi digital mereka serta mengadopsi teknologi AI dalam proses pembelajaran.

Penerapan Internet of Things Pada Kursi Pintar Menggunakan Arduino Uno Berbasis Android Susanti, Mega; Daryanto, Diki; Wifra, Rizki; Pranata, Angga; Anam, M. Khairul; Emerlada, Esi Tri
InfoTekJar : Jurnal Nasional Informatika dan Teknologi Jaringan Vol 6, No 2 (2022): InfoTekJar Maret
Publisher : Universitas Islam Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30743/infotekjar.v6i2.5091

Permasalahan lingkungan hidup yang sering menjadi sorotan yaitu masalah sampah, mulai dari masalah sampah industri, sampah perkantoran, sampah pusat perniagaan, sampah pasar tradisional, sampah fasilitas publik hingga sampah rumah tangga. Sampah terbagi menjadi beberapa golongan yaitu sampah organik dan non-organik. Perhatian khusus harus lebih diberikan dalam pengelolahan sampah atau limbah non-organik untuk dapat diolah menjadi sesuatu yang memiliki nilai dan manfaat. Salah satu solusi pengelolahan sampah berupa kursi pintar akupuntur berbasis android yang memanfaatkan teknologi IoT (Internet of Things). Kursi pintar yang akan terhubung dengan android sebagai pengatur kecepatan yang akan dihasilkan dan mengatur bagian yang bergerak. Selain menjadi solusi dalam pengelolahan limbah ban bekas yang jarang dimanfaatkan, kursi pintar ini juga menjadi solusi untuk pengobatan alternatif akupuntur. Proses pengobatan alternatif akupuntur yang menekan titik-titik tertentu pada tubuh menggunakan jarum. Namun, pada kursi pintar akan mengganti jarum dengan ban bekas sebagai pengganti jarum yang menjadi solusi untuk seseorang yang fobia terhadap jarum tetapi ingin mendapatkan manfaat dari pengobatan akupuntur.

Improvement of Immune Defense and Survival of Grouper Fish (Ephinepelus sp.) Using the Immuno-Probiosirkulasi System (SI-PBR) Method in Semi-Intensive Ponds in Brondong, Lamongan Mahasri, Gunanti; Woro Hastuti Satyantini; Nina Nurmalia Dewi; Lia Oktavia Ika Putri; Lilis Cahaya Septiana; Elangga Sony Widiharsono; Salman Aldo Alfaresi; Faisol Mas’ud; Fuquh Rahmat Shaleh; M. Khairul Anam; Ika Purnamasari
Grouper Vol. 15 No. 1 (2024): Grouper : Jurnal Ilmiah Perikanan
Publisher : Universitas Islam Lamongan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30736/grouper.v15i1.243

Grouper (Epinephelus sp.) is a marine fishery commodity that is widely cultivated in marine cages and ponds. The export market demand for grouper fish continues to increase every year by 30.75% every year, so there is a need for improvement, through various technological applications. The main obstacle in cultivating grouper fish in ponds is the decline in water quality and disease attacks, which can cause up to 100% crop failure, just 3 – 5 days after infection. One effort that can be implemented is the cultivation method with the Immuno-Probiocirculation System (SIPBR). Brondong sub-district is one of the areas in Lamongan which has large fisheries potential, especially for breakwater water pools, which are the top among other districts. There have been many cases of grouper deaths in ponds to date, which are caused by disease attacks and water quality. The aim of this community service activity is to apply the Immuno-Probioculation System fish aquaculture technology in traditional plus pattern ponds (SI-PBR), increasing grouper fish production in Lamongan Regency, East Java. Observational method which includes socialization / counseling, planning and guidance for implementing SI-PBR technology in one period (three months). These results show positive indications. There is an increase in farmer knowledge, the SI-PBR method can reduce ectoparasite infestation and increase grouper yields from 272.43 kg / ha to 87.66 kg / ha, meaning an increase of 334%. The conclusion from this activity is that the SI-PBR model can increase fish production and can be applied in wider areas in the Lamongan region.

Analysis of Profitability and Profit Margins of Rice-Fish Farming (Integrated Rice-Fish System) in Karangbinangun District, Lamongan Regency, East Java Ika Purnamasari; Nurkholifah Dwi Rahayu; M. Khairul Anam; Dona Wahyuning Laily
Grouper Vol. 15 No. 1 (2024): Grouper : Jurnal Ilmiah Perikanan
Publisher : Universitas Islam Lamongan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30736/grouper.v15i1.262

In its development, rice and fish cultivators (pond rice fields) in Karangbinangun District find it difficult to determine whether the production yields they will receive result a profit or a loss. Because remember that there are many problems by cultivators such as the difficulty of getting fertilizer, the high cost of fertilizer, fish seeds are not always available, labor is hard to find, while the majority of cultivators in Karangbinangun District are small scale, so the capital they have is also small. Therefore, there is a need for research on 1) analysis of the costs incurred by pond rice fields cultivators for one year, 2) profit analysis, and 3) Profitability analysis. The analytical method used in this research is business financial analysis which consists of cost analysis, profit analysis and profitability analysis. The result of the research is average total costs incurred by rice-fish cultivation businesses (pond rice fields) are IDR 69,041,732.03/Ha/Year and the revenue is IDR 153,560,000/Ha/Year so that the profit received is IDR 84,518,267.97/Ha/Year. The R/C Ratio value is 2.22 and the net profit ratio (Net Profit Margin) is 55.04%, which means that the rice-fish cultivation business (pond rice fields) is efficient and the farmer's decision to undertake rice-fish cultivation (pond rice fields) it's still very much worth continuing

Clustering Junior Schools in Implementing Smart School Using The K-Means in Pekanbaru Nisa, Aida; Anam, M. Khairul; Yenni, Helda; Kudadiri, Parlindungan; Gunadi
Jurnal Sains, Nalar, dan Aplikasi Teknologi Informasi Vol. 3 No. 3 (2024)
Publisher : Department of Informatics Universitas Islam Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20885/snati.v3.i3.40

The purpose of this research is to determine the readiness of schools in implementing the Smart School system through various stages. One of the concepts of a Smart City involves integrating information and communication technology into the learning process at every school to create Smart Schools. However, not all schools are ready to implement this technology because it requires suitable technology to support the quality of teaching and learning. Another issue is the absence of information systems that can facilitate administrative tasks and the teaching and learning process. The use of the K-Means method is beneficial for clustering schools based on their stages, characteristics, and readiness to implement the Smart School system. This helps identify schools with the highest level of readiness. This research demonstrates that the use of K-Means can identify school readiness based on the established stages related to the Smart School system. It also can pique students' interest in developing and boosting the school's reputation as the best technology-based school.

Evaluation of An Existing System Using The System Usability Scale (SUS) as A Guideline for System Improvement Anam, M. Khairul; Susanti, Susanti; Nurjayadi, Nurjayadi; Zoromi, Fransiskus; Sari, Atalya Kurnia
JURNAL TEKNIK INFORMATIKA Vol. 18 No. 1: JURNAL TEKNIK INFORMATIKA
Publisher : Department of Informatics, Universitas Islam Negeri Syarif Hidayatullah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15408/jti.v18i1.40766

The e-Polvot system at the University of Science and Technology Indonesia (USTI) is a digital platform used for student elections, replacing traditional paper-based voting to enhance efficiency and minimize election fraud. This study evaluates the system using the System Usability Scale (SUS) to assess its usability, including efficiency, effectiveness, and user satisfaction. However, SUS alone does not determine failure points but provides a usability score that reflects user perception. A survey was conducted with 88 respondents from three different academic programs, which showed that while the system generally received a "Good" usability rating, certain areas require enhancement to improve user engagement and satisfaction. Based on the findings, this study recommends enhancing the user interface, providing targeted user training, and introducing additional features to broaden the system’s application across academic units. Additionally, the study highlights the potential for expanding the system's functionality beyond student elections, supporting activities such as departmental voting and organizational decision-making processes. These improvements aim to increase user satisfaction and usability, making the system a more effective tool for various academic and institutional contexts.

ANALISIS TINGKAT PENGETAHUAN PENANGANAN ASI SERET MENGGUNAKAN OBAT TANAMAN KELUARGA PADA IBU MENYUSUI DI DESA MESANGGOK KECAMATAN GERUNG Muhammad Khairul Anam; Nurul Indriani; I Nyoman Bagus Aji Kresnapati
Indonesian Journal of Health Research Innovation Vol. 1 No. 4 (2024): Indonesian Journal of Health Research Innovation
Publisher : Yayasan Menawan Cerdas Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64094/50904812

Penggunaan tanaman obat keluarga (TOGA) sebagai solusi alami untuk masalah laktasi semakin diperhatikan, terutama di daerah pedesaan. Pengetahuan ibu menyusui mengenai ASI eksklusif dan pemanfaatan TOGA untuk mengatasi ASI seret sangat penting untuk keberhasilan menyusui. Penelitian ini bertujuan untuk mengevaluasi karakteristik demografis dan tingkat pengetahuan ibu menyusui tentang ASI eksklusif serta penanganan ASI seret menggunakan TOGA di Desa Mesanggok. Desain penelitian ini adalah deskriptif kuantitatif. Data dikumpulkan melalui kuesioner yang didistribusikan kepada 52 responden. Validitas data diuji menggunakan perangkat SPSS versi 27. Hasil analisis menunjukkan bahwa mayoritas responden berusia 20-30 tahun (63,46%), diikuti oleh kelompok usia 31-40 tahun (32,70%), dan usia 41-47 tahun (3,84%). Dari segi pendidikan, 9,6% responden memiliki tingkat pendidikan SD, 21,2% SMP, 51,9% SMA, dan 17,3% perguruan tinggi. Tingkat pengetahuan responden tentang ASI eksklusif dan penggunaan TOGA untuk mengatasi ASI seret tergolong baik, dengan 61,54% responden memiliki pengetahuan tinggi, 21,15% sedang, dan 17,31% rendah. Hasil ini menunjukkan bahwa sebagian besar ibu menyusui memiliki pemahaman yang baik tentang pentingnya ASI eksklusif dan manfaat TOGA dalam penanganan ASI seret. Penelitian ini menegaskan pentingnya edukasi berkelanjutan untuk meningkatkan pengetahuan ibu menyusui tentang praktik kesehatan alami yang aman dan efektif.

ACLM Model: A CNN-LSTM and Machine Learning Approach for Analyzing Tourist Satisfaction to Improve Priority Tourism Services Arsyah, Ulya Ilhami; Pratiwi, Mutiana; Fryonanda, Harfeby; Anam, M. Khairul; Munawir, Munawir
Journal of Applied Data Sciences Vol 6, No 4: December 2025
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/jads.v6i4.974

Tourist satisfaction is a key proxy for destination service quality, yet automatic sentiment analysis of online reviews still faces class imbalance, overfitting, and limited deployability. This study proposes ACLM, a hybrid sentiment classification pipeline that learns semantic and temporal features with a CNN-LSTM backbone and evaluates three classifier heads (Softmax, Logistic Regression, XGBoost) on a three-class corpus (neutral, satisfied, dissatisfied). The objective is to deliver an accurate and operational model for decision support in tourism services. The idea combines Word2Vec embeddings, a compact CNN for local patterns, an LSTM for sequence dependencies, and a training workflow with text cleaning, SMOTE based balancing, and regularization to curb overfitting; outputs are exposed through a simple Streamlit interface. Results show that CNN-LSTM with a Softmax head attains accuracy 0.89, macro precision 0.89, macro recall 0.84, and macro F1 0.86, outperforming Logistic Regression (accuracy 0.87, macro precision 0.84, macro recall 0.82, macro F1 0.82) and XGBoost (accuracy 0.85, macro precision 0.80, macro recall 0.82, macro F1 0.80). The findings indicate that deep sequence features paired with a simple Softmax head provide the best tradeoff between accuracy and stability for three-way sentiment classification. The contribution is a reusable, end to end blueprint from preprocessing and balanced training to quantitative evaluation and an inference GUI, and the novelty lies in testing interchangeable classifier heads on a single CNN-LSTM feature extractor while explicitly addressing data imbalance and deployment constraints. The GUI is implemented using the highest accuracy model, namely CNN-LSTM with Softmax.

Co-Authors -, Tashid Abrar Hadi Ade Riyanda Putra Agustin Agustin Agustin Agustin Agustin Agustin Agusviyanda Agusviyanda Agusviyanda Agusviyanda Ahmad Ihsan Ahmad Zamsuri Ahmad Zamsuri, Ahmad Aisum Aliyah Sari Akram, Rizalul Al Amin Fadillah Sani Alfa Saleh Alfisyahrin, Alfisyahrin Alfitra, TM Rezaka Alkadri Masnur Ambiyar, Ambiyar Andesa, Khusaeri Andhika, Imam 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 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 Darma, Adi Surya Daryanto, Diki Dea Safitri Dedy Irfan Devi Yuliana Dewi Sari Wahyuni Didik Sudyana Didik Sudyana Diki Daryanto Diky Daryanto Dona Wahyuning Laily Eddy Kurniawan Pradana Efrizoni, Lusiana Elangga Sony Widiharsono Elva, Yesri Emerlada, Esi Tri Erlin Erlin Erlinda, Susi Ersan Fadrial, Yogi Esi Tri Emerlada Fadli Suandi Fahrul Yamani Faisol Mas’ud 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 Fuquh Rahmat Shaleh Gendhy Dwi Harlyan Gubtha Mahendra Putra Gunadi Gunanti Mahasri Gunawan, Chichi Rizka Habibi Ulayya Hadi Asnal, Hadi Hairah, Ummul Halim, Muhammad Yusuf Hamdani Hamdani - Hamdani . Hamdani Hamdani Hamdani Hamdani Hamdani Hamdani Handayani, Nadya Satya Hanif Aulia Happy Yugo Prasetiya Haris Kurniawan, Haris Harja, Jetno Hartomi, Zupri Henra Hasan J. Alyamani Haviluddin Haviluddin Hazira, Nadila Helda Yeni Helda Yenni, Helda Hendra Saputra Hendrawan, Riki hendri, nofri Herianto Herianto Herwin Herwin Ika Purnamasari Ike Yunia Pasa Ikhsan Ikhsan Indah Mukhlis Tamara Indra Prayogo Indra Prayogo Indri Febrianti Irfan Putra Pratama Irfansyah Irfansyah Irfansyah Irfansyah Irsyad, Akhmad Irwanda Syahputra Irwanda Syahputra Irzal Arief Wisky Istianah Istianah Jamaris, Muhamad Jamaris, Muhammad Jasmarizal Junadhi Junadhi Junadhi Junadhi Junadhi, Junadhi Kadek Mirnawati Karfindo, Karfindo 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 Lia Oktavia Ika Putri Lilis Cahaya Septiana Liza Fitria Lucky Lhaura Van FC Lucky Lhaura Van FC, Lucky Lhaura Lusiana Lusiana Efrizoni Lusiana Lusiana M Syauqi Hafizh M. Ikhsan Wibowo Machdalena Mahamad, Abd Kadir Mahendra, Muhammad Ihza Mahessya, Raja Ayu 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 Budi Saputra muhammad Fuad Muhammad Ikhsan Wibowo Muhammad Nur Ihwan Muhammad Wisdan Pratama Putra Munawir Munawir Munawir N.A, Randi Nadila Rahmadhani Nadya Alinda Rahmi Nanda, Novianda Nanda Nariza Wanti Wulan Sari Nasrul Sani Neci Nirwanda Nina Nurmalia Dewi Nisa, Aida Nora Lizarti Novi Yona Sidratul Munti Nu'man, Nu'man Nurhuda, Agus Tri Nurjayadi Nurjayadi Nurjayadi Nurjayadi Nurjayadi Nurjayadi Nurkholifah Dwi Rahayu Nurul fadillah, Nurul Nurul Indriani Nurwijayanti Pandu Pratama Putra, Pandu Pratama Paradila, Dinda Parlindungan Kudadiri Permana, Randy Pradipta , Rahman Pranata, Angga Pratiwi, Mutiana 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, Rometdo Ruri Hartika Zain Saiful Bukhori Salman Aldo Alfaresi Salsabila Rabbani Salsabila Rabbani Saon, Sharifah Saputra, Eko Ikhwan Sari Irma Yani Sitorus Sari, Atalya Kurnia Sarjon Defit Setyantini, Woro Hastuti 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 Torkis Nasution Tri Putri Lestari Tri Putri Lestari Tri Putri Lestari Tri Putri Lestari, Tri Putri Triyani Arita Fitri Ulfah, Aniq Noviciate Wahyudianto, Mochamad Rizky Wahyuni, Dewi Sari Waksito, Alan Zulfikar Waskita, Ghozi Indra Wifra, Rizki Wirta Agustin Wirta Agustin Yaakub, Saleh Yansyah Saputra Wijaya Yenni, Heda Yesaya Twin Situmorang Yogi Ersan Fadrial Yogi Yunefri, Yogi Yoyon Efendi Yuda Irawan Yudhistira, Dewangga Yumami, Eva Zainal Arifin Zeki Kurniadi zeki Kurniadi

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