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Dahlan Abdullah

Universitas Malikussaleh

Author-ID : 217988

Religion Agriculture, Biological Sciences & Forestry Humanities Astronomy Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Nursing Physics Social Sciences Transportation Other

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Pelatihan Konservasi Terumbu Karang Untuk Berkelanjutan Ekosistem Laut Pada Kabupaten Simeulue Hafli, Teuku Mudi; Fauzan, M; Abdullah, Dahlan; Imanullah, Imanullah; Zulfan, Zulfan; Fazil, M
Jurdimas (Jurnal Pengabdian Kepada Masyarakat) Royal Vol. 7 No. 4 (2024): Oktober 2024
Publisher : STMIK Royal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33330/jurdimas.v7i4.3391

Most of the Simeulue population depends on marine products for their livelihoods. However, the use of bombs in fishing has posed a serious threat to the sustainability of fish resources, which are crucial assets for the community's welfare. The practice of fishing with bombs not only damages marine habitats, including coral reefs, but also threatens the sustainability of fish resources in the future. If allowed to continue, this can harm marine ecosystems and jeopardize the sustainability of the local economy. To address this problem, training and implementing coral reef conservation using the Coral Adoption method is crucial. This initiative, which involves the Simeulue Regency government, Simeulue Police, and TNI, focuses on the community, especially fishermen. The Coral Adoption method is a marine environmental rehabilitation technique that aims to conserve marine biota, accelerate coral reef growth, and restore threatened ecosystems. The training provides participants with knowledge about the negative impacts of fish bombing and the importance of marine environmental rehabilitation. It also empowers them to stop such destructive practices. Furthermore, participants recognize the long-term impacts of fish bombing on their socio-economic aspects, which ultimately increases their commitment to preserving the marine environment for a better future. Keywords: fish bomb; coral reef; fishing; fisherman Abstrak: Sebagian besar penduduk Simeulue bergantung pada hasil laut untuk mata pencaharian mereka. Namun, penggunaan bom dalam penangkapan ikan telah menimbulkan ancaman serius terhadap kelestarian sumber daya ikan yang menjadi aset penting bagi kesejahteraan masyarakat. Praktik penangkapan ikan dengan bom tidak hanya merusak habitat laut, termasuk terumbu karang, tetapi juga mengancam keberlanjutan sumber daya ikan di masa depan. Jika dibiarkan berlanjut, hal ini dapat berdampak buruk pada ekosistem laut dan mengancam keberlanjutan ekonomi lokal. Untuk mengatasi masalah ini, pelatihan dan penerapan konservasi terumbu karang dengan metode Rock Pile menjadi sangat penting. Pelatihan ini, yang melibatkan pihak pemerintah Kabupaten Simeulue, Polres Simeulue, dan TNI, difokuskan pada masyarakat, terutama nelayan. Rock Pile adalah teknik rehabilitasi lingkungan laut yang bertujuan untuk melestarikan biota laut, mempercepat pertumbuhan terumbu karang, dan memulihkan ekosistem yang terancam. Manfaat dari pelatihan ini, peserta tidak hanya memperoleh pengetahuan tentang dampak buruk pengeboman ikan dan pentingnya rehabilitasi lingkungan laut, tetapi juga menjadi lebih percaya diri dalam menghentikan praktik destruktif tersebut. Selain itu, mereka menyadari dampak jangka panjang pengeboman ikan terhadap aspek sosial ekonomi mereka, yang pada akhirnya meningkatkan komitmen mereka untuk melestarikan lingkungan laut demi masa depan yang lebih baik.Kata kunci: bom ikan; terumbu karang; penangkap ikan; nelayan

Penyuluhan Pembuatan Biopori Limbah Kulit Kopi di Desa Kenine Bener Meriah Al Kautsar Aidilof, Hafizh; Yulisda, Desvina; Yusdartono, Habib Muharry; Fitria, Rahma; Razi, Ar; Abdullah, Dahlan
Jurnal SOLMA Vol. 12 No. 1 (2023)
Publisher : Universitas Muhammadiyah Prof. DR. Hamka (UHAMKA Press)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22236/solma.v12i1.10496

Background: Salah satu faktor penentu kualitas dan produktivitas kopi yang dihasilkan adalah kualitas lahan kebun kopi. Diharapkan para petani dapat menjaga kualitas tanaman dengan perawatan melalui dukungan peningkatan unsur hara tanah pada lahan dengan bantuan pupuk kompos. Kegiatan ini dapat dilaksanakan dengan dukungan penuh dari kepala desa Kenine Bener Meriah dengan jumlah peserta sebanyak 26 orang masyarakat desa Kenine. Metode: Pada tahap pertama dilakukan pembuatan alat biopori dan alat sensor pH berbasis IoT yang kemudian di praktekkan langsung pada salah satu lahan kenun kopi masyarakat desa Kenine. Tim penyuluhan juga mengarahkan masyarakat untuk terjun langsung ke lapangan untuk melakukan simulasi penggunaan alat biopori ini. Selanjutnya tim memberikan pengarahan dan manfaat penggunaan alat biopori di bandingkan dengan kegiatan yang biasa dilakukan masyarakat untuk menyuburkan kebun mereka. Selanjutnya pada tahap evaluasi tim juga memantau hasil yang di dapat setelah penerapan biopori serta memantau pemakaian sensor pada kebun warga. Hasil: Peningkatan pada tumbuhan kopi yang dipakai alat biopori dan diharapkan produktivitas kopi juga meningkat seiring dengan pertumbuhan pokok kopi tersebut. Kesimpulan: Penggunaan pipa biopori untuk pembusukan limbah kulit kopi bermanfaat untuk menggemburkan tanah, menjadi pupuk kompos dan dapat menambah volume penyerapan air hujan.

Hesitant Fuzzy-Stochastic Data Envelopment Analysis (HF-SDEA) Model for Benchmarking Abdullah, Dahlan; Hartono, -; Erliana, Cut Ita
JOIV : International Journal on Informatics Visualization Vol 5, No 1 (2021)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30630/joiv.5.1.405

The Data Envelopment Analysis (DEA) method is a method commonly used in benchmarking. The Dynamic Data Envelopment Analysis (DDEA) method was proposed to improve the DEA method in the benchmarking process. The DDEA method proposed can determine the effectiveness of the Decision Making Unit (DMU). The disadvantage of the DDEA model is that it cannot handle problems that involve benchmarking for stochastic data. To improve the DDEA method, the Stochastic Data Envelopment Analysis (SDEA) method is proposed which can be used for benchmarking involving stochastic data. The SDEA method itself has weaknesses in dealing with noise and uncertainty problems that will appear in the assessment process. The purpose of the research conducted by the researcher was to use the Hesitant Fuzzy method in optimizing the SDEA method so that the Hesitant Fuzzy model - Stochastic Data Envelopment Analysis (HF-SDEA) could be carried out benchmarking process in a situation where the assessment contained many elements of uncertainty. The results of this study are benchmarking methods that can do benchmarking for stochastic data on conditions that contain elements of uncertainty.

PEMETAAN DAN ANALISIS SPASIAL PRODUKTIVITAS PERTANIAN MENGGUNAKAN GIS DI KABUPATEN TANAH DATAR Ramlan, Rifqi; Abdullah, Dahlan; Phonna, Rizky Putra
JUSIM (Jurnal Sistem Informasi Musirawas) Vol 10 No 2 (2025): JUSIM : Jurnal Sistem Informasi Musi Rawas DESEMBER
Publisher : LPPM UNIVERSITAS BINA INSAN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32767/jusim.v10i2.2705

Perkembangan teknologi informasi telah mendorong pemanfaatan Sistem Informasi Geografis dalam berbagai bidang, termasuk sektor pertanian. Di Kabupaten Tanah Datar, sektor pertanian memiliki peran vital dalam perekonomian masyarakat, namun masih dihadapkan pada tantangan variasi produktivitas antar wilayah. Penelitian ini bertujuan untuk melakukan pemetaan dan analisis spasial produktivitas lima komoditas utama padi, jagung, ubi jalar, ubi kayu, dan kacang tanah dengan menggunakan GIS. Hasil analisis menunjukkan bahwa pola produktivitas pertanian sangat bervariasi antar kecamatan, yang dipengaruhi oleh faktor-faktor seperti kesesuaian lahan, agroklimat, sistem irigasi, dan praktik budidaya. Kecamatan seperti X Koto, Batipuh, Pariangan, dan Salimpaung memiliki produktivitas tinggi, sedangkan wilayah Padang Ganting, Tanjung Emas, dan sebagian Lintau Buo menunjukkan produktivitas rendah. GIS terbukti efektif dalam memvisualisasikan data spasial dan mendukung perumusan kebijakan pertanian yang tepat sasaran. Informasi ini dapat dimanfaatkan oleh pemerintah daerah untuk menyusun strategi peningkatan produktivitas berdasarkan potensi wilayah. Kata Kunci : Sistem Informasi Geografis, produktivitas pertanian, analisis spasial, pemetaan

Designing a Community Reporting System for Online Gambling Activities in Aceh Ardian, Zalfie; Abdullah, Dahlan; Yunizar, Zara; Tarigan, Tasya Amelia; Agil, Helvina
JINAV: Journal of Information and Visualization Vol. 6 No. 2 (2025)
Publisher : PT Mattawang Mediatama Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/454RI.jinav4336

The rapid proliferation of online gambling in Aceh, despite the formal implementation of Qanun Jinayah as the legal framework for Islamic law, has posed a significant challenge to law enforcement and community governance. One of the most pressing issues is the absence of a secure, anonymous, and accessible reporting mechanism for citizens to report online gambling activities. This study addresses that gap by developing and evaluating a web-based reporting system named SIPELRA (Sistem Pelaporan Rakyat Aceh/Aceh People’s Reporting System). Employing a Research and Development (R&D) approach, the research was conducted through four stages: needs analysis, system design, implementation, and testing. The system was built using the Laravel framework and MySQL database, with strong emphasis on responsive design and data security to ensure user anonymity. Needs analysis revealed that community members prioritize simplicity, anonymity, and reliability in reporting mechanisms. System design was modeled using UML tools, including use case and activity diagrams, while the interface was developed with a minimalistic and culturally contextual design. Testing consisted of blackbox testing to validate functionality and a user satisfaction survey administered to 30 respondents. Results indicated that all core features operated successfully without major errors, and user satisfaction achieved an average score of 4.5 (90%), with data security receiving the highest rating (92%). Case analysis in North Aceh demonstrated diverse gambling practices, including slot-based games and chip trading, with mobile devices as the dominant medium. The findings confirm that SIPELRA is both technically feasible and socially acceptable, offering a strategic innovation for enhancing community participation and strengthening the enforcement of Qanun Jinayah in Aceh

Food Security Optimization Forecasting Fertilizer Production With Method Weighted Moving Average (WMA) Rifkial Iqwal; Dahlan Abdullah; Nunsina
Proceedings of International Conference on Multidisciplinary Engineering (ICOMDEN) Vol. 2 (2024): Proceedings of International Conference on Multidisciplinary Engineering (ICOMDEN)
Publisher : Faculty of Engineering, Malikussaleh University

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

This research focuses on optimizing food security through the application of fertilizer production forecasting method at PT Pupuk Iskandar Muda (PIM) using Weighted Moving Average (WMA). Effective food security relies heavily on stable and adequate fertilizer availability, which in turn requires accurate production predictions to ensure efficiency. In this study, historical data of urea and ammonia fertilizer production from January 2019 to December 2023 is used to build a forecasting model that can provide an overview of future production trends. The WMA method was chosen due to its adaptive nature, where greater weight is given to the most recent data, allowing the model to be more responsive to changes and emerging trends. The results showed that for urea production, WMA produced a MAPE value of 1773.8% and MAD of 13,223.2, while for ammonia production, the MAPE was recorded at 3085.5% with MAD of 7,538.5. Total production showed a MAPE of 69.7% with a MAD of 20,568.9, indicating significant fluctuations in production during the period under study. Nevertheless, the WMA method still provides a fairly good prediction and can be used as a reference in future production planning. In addition, the results of this study also provide valuable insights into the production dynamics at PIM, which is critical in supporting the national food security strategy. This research recommends further exploration of other more advanced forecasting methods, such as ARIMA or machine learning techniques, to improve prediction accuracy and better anticipate changes in production patterns. Keywords: Food security, Weighted Moving Average, Fertilizer Production Forecasting, MAPE, MAD.

Application of the Naïve Bayes Method in Optimizing Marketing Performance at PT. Semen Indonesia Mahesa Reglisalo; Dahlan Abdullah; Yesy Afrillia
Proceedings of International Conference on Multidisciplinary Engineering (ICOMDEN) Vol. 2 (2024): Proceedings of International Conference on Multidisciplinary Engineering (ICOMDEN)
Publisher : Faculty of Engineering, Malikussaleh University

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

This study examines the application of the Naïve Bayes method to improve marketing performance at PT. Semen Indonesia. In an increasingly competitive business environment, effective data management is crucial for strategic decision-making. Currently, PT. Semen Indonesia utilizes the SAP system to manage sales and financial data, but it lacks an automated system to analyze marketing performance. This research aims to develop a Naïve Bayes-based classification system to monitor marketing performance, considering attributes such as profit, market share, sales volume, and customer satisfaction. The Naïve Bayes method was chosen for its accuracy in handling large-scale data and its ability to provide fast and efficient predictions. Marketing performance data is processed using this method to categorize marketing performance as “good” or “poor.” The analysis results show that the developed system achieves a classification accuracy of 43.75% for the “good” category and 56.25% for the “poor” category. This system assists management in designing more effective marketing strategies by leveraging historical data to predict trends and market needs. Keywords: Naïve Bayes, marketing performance, PT. Semen Indonesia, data analysis, classification system, profit, market share

Prediction of Trash in Aceh Province Using the Autoregressive Integrated Moving Average (ARIMA) Method Nefo Preyandre; Dahlan Abdullah; Said Anshari
Proceedings of International Conference on Multidisciplinary Engineering (ICOMDEN) Vol. 2 (2024): Proceedings of International Conference on Multidisciplinary Engineering (ICOMDEN)
Publisher : Faculty of Engineering, Malikussaleh University

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

The increase in trash production in Aceh Province presents challenges for trash management, particularly in planning adequate infrastructure. This study applies the Autoregressive Integrated Moving Average (ARIMA) model to predict trash volume in Aceh. The data utilized originates from the National Trash Management Information System (SIPSN) and the Central Bureau of Statistics (BPS) from 2020 to 2023. The prediction results indicate that ARIMA can capture the primary trends in trash volume but has limitations in accounting for seasonal fluctuations in certain trash categories. Accuracy evaluation using the Mean Absolute Percentage Error (MAPE) shows varying accuracy levels across trash types, with some categories requiring additional models to enhance accuracy. These findings are expected to support planning and policy for trash management in Aceh.

Pilgrimage and Cultural Heritage: Understanding Tourist Motivations at the Tomb and Sunan Drajat Museum at Lamongan East Java-Indonesia Nuruddin; Wirawan, Putu Eka; Susanti, Putu Herny; Nashihin; Wiarti, Luh Yusni; Abdullah, Dahlan
Pusaka : Journal of Tourism, Hospitality, Travel and Business Event Vol. 8 No. 1 (2026): Vol. 8 No. 1 (2026): February-July
Publisher : Politeknik Pariwisata Makassar, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33649/pusaka.v6i2.598

Motivation is a key factor in tourists’ decision-making, including visits to historical sites related to the development of religion. This study aims to analyze the motivation of tourists visiting historical sites such as the tombs of saints and museums preserving their legacy. A qualitative method with a thematic and interpretive approach was used. Data were collected through interviews, field observations, and literature review. The findings reveal two main motivational perspectives: religious and cultural. Religious motivation includes the pursuit of blessings, spiritual merit, and inner peace, while cultural motivation involves interest in history, architecture, and cultural heritage. This study offers both theoretical and practical contributions to the development of tourism based on local and spiritual values. Its uniqueness lies in combining religious and cultural motivations in the context of visits to the Tomb and Museum of Sunan Drajat Lamongan—a site that has received little scholarly attention. Unlike previous studies that tend to separate the two aspects, this research integrates spiritual and historical dimensions to better understand tourist behavior.

Comparison of Logistic Regression and Random Forest Methods in Predicting Vehicle Tax Payment Compliance Khairul Fuadi; Taufiq Taufiq; Arnawan Hasibuan; Dahlan Abdullah; Nurdin Nurdin
Jurnal Informatika Vol. 13 No. 1 (2026): April
Publisher : Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/informatika.v13i1.11944

Motor vehicle tax is a major source of Regional Original Income (PAD). However, the level of motor vehicle tax payment compliance in North Aceh Regency is still suboptimal, particularly related to late payments. A data-driven approach is needed to predict and understand taxpayer compliance patterns more accurately. This study aims to compare the performance of the Logistic Regression and Random Forest methods in predicting motor vehicle tax payment compliance, as well as to identify factors that influence taxpayer compliance behavior at the North Aceh Samsat (Sat). This study uses secondary data in the form of motor vehicle tax payment transactions at the North Aceh Samsat for the 2022–2024 period, totaling 100,000 observations. The response variable is the tax payment compliance status (compliant and non-compliant), while the predictor variables include vehicle age, type of ownership, vehicle type, and vehicle brand. The data is divided into 70% training data and 30% testing data. The performance evaluation model is conducted using accuracy, precision, recall, and Area Under Curve (AUC) metrics. The analysis results show that Random Forest has better predictive performance than Logistic Regression, with higher accuracy and AUC values. Vehicle age and type of ownership are the most influential variables in predicting tax payment compliance, while vehicle brand has a relatively smaller influence. Logistic Regression provides a clear interpretation of the variable relationship, but has lower discrimination ability than Random Forest. Random Forest has proven to be more effective as a prediction model for motor vehicle tax payment compliance at the North Aceh Samsat. The application of machine learning-based predictive models has the potential to support more targeted policy making in an effort to improve motor vehicle tax payment compliance, especially in reducing late payments.

Co-Authors - Hartono . Zulfan Abdul Wahab Abdullah A. Z Achmad Harristhana Mauldfi Sastraatmadja Aditia, Donny Adli Zain, Razlan Afisman, Heri Juni Afriza, Muhammad Ridho Agil, Helvina Agus Sukoco Akbar, Abdul Hanif Al Kautsar Aidilof, Hafizh Al- Amin Al-Amin Ali Nasith Alimul Haq, Nur Ambas, Jamin Amny Yasira Amrina, Amrina Ananda Faridhatul Ulva Andik Bintoro ani, Muli Anni Zulfia Annisa Karima Ansyari, Taufik Habib Anuar Bahri, Khairil Ar Razi Ar Razi, Ar Razi Arifah, Mutia Arifin, Arifin Arnawan Hasibuan Aslam Aslam, Aslam Aswita Indah Luthfiana Hasibuan Aulia Barus, M Farhan Ayu Anggreni, Made Berkah Nadi, Muhammad Abi Chaliza Nur, Wan Amalia Cindy Rahayu Cut Agusniar Cut Ita Erliana Cut Yusra Novita Daniel Akhyar Darmawanta Sembiring Dedi Fariadi Defi Irwansyah Defi Irwansyah Deisye Supit Deslana Roidja Hapsarini Devin Mahendika Dita Amelia, Dita Eko Prastyo Elviwani Elviwani Elviwani Elviwani Elviwani, Elviwani Emy Yunita Rahma Pratiwi, Emy Yunita Rahma ER. UMMI KALSUM Erianto Ongko Erlina Erlina Erlina Erlina Fachry Abda El Rahman Fadlisyah Fadlisyah Fadlisyah Fajriana, Fajriana Fakhruddin Ahmad Nasution Farida Juliarta, Evie Fazil, M Fidyatun Nisa Fikri, Khusnul Firman Aziz Fuzna Febriani Gamar Al Haddar Gio, Prana Ugiana H. Hartono Habib Muharry Yusdartono Haedir, Haedir Halim, Paisal Hamdhana, Defry Hapsarini, Deslana Roidja Haris Danial Hartono Hartono Hartono, Natalia Rumanti Hasanun Hasibuan, Abdurrozzaq Hasibuan, Fadilah Suryani Hasibuan, Muammar Faturrahman Heri Juni Afisman Herry Rachmat Widjaja Hery Budiyanto HS, Nurmadina I Ketut Sutapa I MADE MULIARTA . I P G. Adiatmika I Putu Agus Dharma Hita Ika Rahayu Satyaninrum IKhwanda Putra, Al Malikul Imanullah, Imanullah Indah Sulistiani Indra Pilianti D Indra Tjahyadi Indrawati Indrawati Irdanil Kamal, Irdanil Irianto, Sugeng Irma Oktari Irwansyah, Defi Islam, Khoirul Iswan Riyadi Iswandi Iswandi Iswandi Iswandi Iylia Azlan, Rabiatul Juarni Siregar Judijanto, Loso Kamilah, Muna Kartika Kartika Kartini Rahayu Khairul Fuadi Khairullah Yusuf Komang Ayu Krisna Dewi Kosasih Kosasih , Kosasih Kurniawansyah, Kurniawansyah Kurniawati Kurniawati La Ode Muhammad Idrus Hamid B Lahap, Johanudin Lamsir, Seno Laros Tuhuteru Latif, Sarifudin Andi Lestari, Nana Citrawati Lestari, Veronika Nugraheni Sri Lidya Rosnita Limbong, Hendra Putranta Lisa Mulia Al Ikhlas Luana Sasabone Lubis, Fauzan Arbi Luh Yusni Wiarti M Farhan Aulia Barus M Fauzan Maharani Asnur, Sardian Mahesa Reglisalo Manik, Aktina Marganda Simarmata Marlina Sari Maryana Maryana Maryana Maryana, Maryana Masriadi Maulana, Fatur Rahman Maulinda, Rerin Maya Savira Meilyana Meilyana Meutia Rahmi Mirna Dewi Misbahul Jannah Miswar Miswar Miswar Mochamad Gilang A Mubarok Mohammad, Wily Mohd Said, Noraslinda Mohd Syahrin Muchlis Abdul Muthalib Muhamad Stiadi Muhammad Chaizir Muhammad Daud Muhammad Fikry Muhammad Hanafi Sahar Lubis Muhammad Ichsan Muhammad Ihsan Dacholfany Muhammad Ikhsan Setiawan Muhammad Ikhsan Setiawan Muhammad Ikhwani Muhammad Iqbal Muhammad Khahfi Zuhanda Muhammad Khalis, Muhammad Muhammad Riansyah Muhammad Zarlis Muhammad Zarlis, Muhammad Muharam, Suhari muli ani Munirul Ula Muslem Muslem Muslem Muthmainnah Muthmainnah Muzaffar Rigayatsyah Muzaffar Rigayatsyah N. Nazaruddin Nadia Karunia, Meutia Nadya Raudathul Sofa Nanda Imanda Nashihin Nasution, Zainannur Nefo Preyandre Ni Ketut Dewi Irwanti Noviany, Henny Nunsina, Nunsina Nurdin Nurdin Nurhasanah Nursyamsi SY Nuruddin Nuruddin Oksfriani Jufri Sumampouw Pasaribu, Hafni Maya Sari Pertiwi, Anggun Pikri, Faizal Poetri AL-Viany Maqfirah Puji, Ari Andriyas Putra, Arwin Putu Eka Wirawan Rafi’i, Rafi’i Rahma Fitria, Rahma Rahmat, Rezqiqah Aulia Ramlan, Rifqi Ramli, Rahmat Rasna, Rasna Razi, Ar Reskiawan, Bimas - Reza Pratama Rezzy Eko Caraka Riansyah, Muhammad Richki Hardi Rifkial Iqwal Rini Meiyanti Risawandi, Risawandi Rizka Salsabila Nasution Rizki Suwanda Rizki Wahyuri Rizky Putra Fhonna Roslaini Roslaini S, Syarifuddin Sabriana, Riska Safwandi Safwandi Safwandi Safwandi, Safwandi Said Anshari Said Fadlan Anshari salamah salamah Salat, Junaidi Samsul A Rahman Sidik Hasibuan Sandya, Deasy Saputra, Nanda Saputra, Rizwan Sasabone, Luana Satria Pati Alam Sayed Fachrurrazi Selamat Meliala Setiawan, Muhammad Ikhsan Silvia Nanda Sima, Yenny Simarmata, Marganda Sitti Nur Alam Subhan, Roni Sulistyandari, Sulistyandari Surnihayati Surnihayati Susanti, Putu Herny Sutarna, Agus Syamsiah Badruddin Syarifuddin Syarifuddin Tahulending, Anneke A Tarigan, Tasya Amelia Taufiq Taufiq Teuku Mudi Hafli Touwe, Yohana S Touwe, Yohana S. Tri Suryowidiyanti Ulfa, Nur Saufani Ultra Prayogi Ulumul Haq, Bahrul Utomo, Muhammad Fikri Veronika Nugraheni Sri Lestari Victor E. D Palapessy Wa Ode Riniati Wahyu Pertiwi, Yuarini wandi, risa Wawan Syahputra Wenny J, Syilvia Widiyani, Maya Yeni Risyani Yesy Afrillia Yuarini Wahyu Pertiwi Yuliah, Yuliah Yulisda, Desvina Yuniningsih Yuniningsih Yusra, Muhammad Zafera Adam, Jeanne d'Arc Zahratul Fitri, Zahratul Zainannur Nasution Zalfie Ardian Zara Yunizar Zega, Subhansah Zulfahmi Zulfahmi

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