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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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Penyuluhan Kesehatan Gigi dan Mulut di Kecamatan Minasatene Kabupaten Pangkajene Kepulauan Palapessy, Victor E D; Abdullah, Dahlan; Prastyo, Eko; Nurhaedah, Nurhaedah; Tahulending, Anneke A; Andi Latif, Sarifudin; Erliana, Cut Ita
Sahabat Sosial: Jurnal Pengabdian Masyarakat Vol. 1 No. 3 (2023): Sahabat Sosial: Jurnal Pengabdian Masyarakat (Juni)
Publisher : Asosiasi Guru dan Dosen Seluruh Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59585/sosisabdimas.v1i3.69

Dental and oral health is the most important thing for human life and is part of general health. What society needs to pay attention to. To achieve optimal dental and oral health, regular maintenance must be carried out. Treatment can be started from paying attention to the food diet, limiting foods that contain sugar and sticky foods. Cleaning plaque and remaining food debris and brushing teeth must use techniques and methods that do not damage the tooth structure. The aim of the Dental and Oral Health PkM is to achieve changes in knowledge. Individual counseling methods are used to develop new behaviors, or to coach someone who is becoming interested in a behavior change or innovation. This individual approach is used because everyone has different problems or different reasons regarding the acceptance or new behavior. including: 1) Guidance and Counseling 2) Interviews (Interview). The expected result is an increase in understanding, attitude and skills that will change behavior towards healthy behavior and can carry out healthy behavior in daily life, especially regarding dental and oral health.

Pentingnya Imunisasi Dasar Pada Bayi Di Kelurahan Bonto Kio Kecamatan Minasatene Kabupaten Pangkep Sabriana, Riska; Sima, Yenny; Abdullah, Dahlan; Aditia, Donny; Sumampouw, Oksfriani Jufri; Ramli, Rahmat; Rahmat, Rezqiqah Aulia
Sahabat Sosial: Jurnal Pengabdian Masyarakat Vol. 1 No. 3 (2023): Sahabat Sosial: Jurnal Pengabdian Masyarakat (Juni)
Publisher : Asosiasi Guru dan Dosen Seluruh Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59585/sosisabdimas.v1i3.72

Immunization is an effort to create or actively increase a person's immunity to a disease so that if one day they are exposed to the disease they will not get sick or only experience a mild illness. The specific objectives of this program are to provide information about the importance of immunization for children, to achieve complete basic immunization coverage for infants according to village/kelurahan targets and to achieve advanced immunization targets for children under two years of age (baduta) and elementary school-age children. The method of implementing activities uses the planning stage and the implementation stage. PKM activities in the form of Health Education about Basic Immunization of Infants began with assessment and data collection of the number of families who have babies/toddlers, starting on May 8 2023. Meanwhile the counseling was carried out at Posyandu in the working area of the Minasatene Health Center in Bonto Kio Village, Minasatene District, Pangkep Regency. The results obtained after the implementation of this activity are: 1) increasing parents' knowledge about the importance of basic immunization in infants; and 2) increasing parents' understanding of the side effects that arise after being immunized and how to deal with these side effects.

REKONFIGURASI JARINGAN DISTRIBUSI 20KV DI PT PLN (PERSERO) ULP KRUENG GEUKUEH DENGAN METODE BINARY PARTICLE SWARM OPTIMIZATION (BPSO) Afriza, Muhammad Ridho; Abdullah, Dahlan; Jannah, Misbahul; Kartika, Kartika; Meliala, Selamat
Jurnal Energi Elektrik Vol. 13 No. 1 (2024): Jurnal Energi Elektrik 2024
Publisher : Universitas Malikussaleh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/jee.v13i1.15915

Sistem listrik yang disediakan oleh PT. PLN (Persero) memainkan peran krusial dalam memenuhi kebutuhan energi listrik di Indonesia. Dengan pertumbuhan pesat permintaan energi, terutama dalam sektor industri, komersial, dan rumah tangga, tekanan semakin besar pada jaringan distribusi listrik untuk menjaga keandalan pasokan daya. Salah satu tantangan utama adalah rugi-rugi daya dalam jaringan distribusi 20 kV, yang mengakibatkan kerugian finansial yang signifikan bagi PT. PLN (Persero) dan memengaruhi kualitas layanan kepada pelanggan. Penelitian ini mengusulkan penggunaan metode Binary Particle Swarm Optimization (BPSO) untuk merancang ulang konfigurasi jaringan distribusi 20 kV dengan tujuan mengurangi rugi-rugi daya. Rekonfigurasi jaringan dilakukan dengan mengubah status kabel penghubung antar trafo distribusi, tetapi mempertahankan struktur jaringan radial dan memperhatikan batasan operasi. Metode BPSO mengoptimalkan topologi jaringan dengan meminimalkan kehilangan daya nyata. Penelitian ini dilakukan di PT. PLN (Persero) ULP Krueng Geukueh dengan menggunakan simulasi software Electrical Transient Analizer Program (ETAP) versi 19.0.1 dan Matlab 2018b. Hasil penelitian menunjukkan bahwa rekonfigurasi berhasil mengurangi rugi daya nyata secara signifikan, dengan penurunan dari 19.732 menjadi 19.4 kW.

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

Identification of Ergonomic Risk on Workers Using Quick Exposure Check and Rapid Upper Limb Assessment Methods Erliana, Cut Ita; Irwansyah, Defi; Abdullah, Dahlan; Zega, Subhansah; Hasibuan, Muammar Faturrahman
International Journal of Artificial Intelligence Research Vol 6, No 1.1 (2022)
Publisher : STMIK Dharma Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29099/ijair.v6i1.432

Pulau Tiga Palm Oil Mill (PKS) is one of the business units of PT. Nusantara I Plantation located in Pulau Tiga Village, Tamiang Hulu District, Aceh Tamiang Regency, is engaged in palm oil processing. Some workstations at PKS Pulau Tiga still use a manual work system, then the factor of long working hours, which is 12 hours of work/day, can make it easier for workers to experience fatigue and result in musculoskeletal complaints for workers. The purpose of this study is to identify which workstations are most at risk and which workstation facilities must be improved. The methods used in this study are the QEC, NBM, and RULA Methods.

Bibliometric analysis of model vehicle routing problem in logistics delivery Zuhanda, Muhammad Khahfi; Hartono, Hartono; Sidik Hasibuan, Samsul Abdul Rahman; Abdullah, Dahlan; Gio, Prana Ugiana; Caraka, Rezzy Eko
Indonesian Journal of Electrical Engineering and Computer Science Vol 37, No 1: January 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v37.i1.pp590-600

This bibliometric analysis focuses on the vehicle routing problem (VRP) model in the field of logistics delivery. The study utilizes a comprehensive dataset of 2,000 VRP-related publications obtained from the Scopus database, spanning the years 2007 to 2023. Through the application of bibliometric methods, this research aims to uncover key insights regarding research trends, country contributions, and recent topics within the VRP research network. Various bibliometric indicators, including publication count, author productivity, relevant sources, institutional affiliation, and citation frequency, are employed to conduct the analysis. The findings shed light on the evolution and trajectory of VRP research, while also highlighting noteworthy countries and topics that have received significant attention. This study not only enhances the overall understanding of VRP but also serves as a foundation for future investigations aimed at enhancing the efficiency and effectiveness of logistics delivery.

Plagiarism Detection Application for Computer Science Student Theses Using Cosine Similarity and Rabin-Karp Ansyari, Taufik Habib; Abdullah, Dahlan; Rosnita, Lidya
International Journal of Engineering, Science and Information Technology Vol 5, No 1 (2025)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v5i1.686

Plagiarism detection is critical in maintaining academic integrity, particularly in higher education. This study focuses on developing a plagiarism detection application for Computer Science student theses. The application leverages the Cosine Similarity and Rabin-Karp algorithms to accurately and efficiently detect textual similarities. Developed using JavaScript, the application provides an intuitive interface and reliable performance, making it a practical tool for educational institutions. The application includes features allowing users to upload thesis documents, analyze textual content, and measure plagiarism levels by comparing them to an existing dataset. The Cosine Similarity algorithm measures the overall similarity between documents, while the Rabin-Karp algorithm focuses on identifying exact matches in phrases and sentences. The results demonstrate the efficacy of both algorithms. For titles, the Cosine Similarity algorithm achieved a 100% similarity rate for identical documents while detecting minor plagiarism with a similarity level of 5.86% for other documents. For abstracts, it achieved 100% similarity for the first document, 2.78% for the second document, and 8.37% for the third document. These findings highlight the algorithm's ability to detect exact matches and partial overlaps in textual content. The Rabin-Karp algorithm showed comparable performance, particularly in detecting phrase-level similarities. For titles, it recorded 100% similarity for identical documents, 11.42% for the second document, and 16.92% for the third document. For abstracts, the algorithm also achieved 100% similarity for the first document, 11.42% for the second document, and 16.81% for the third document. The study confirms that both algorithms complement each other in detecting different forms of plagiarism. The Cosine Similarity algorithm excels in identifying global patterns of similarity, while the Rabin-Karp algorithm is more suited for finding exact matches in specific phrases or sentences. This dual approach provides a comprehensive solution for detecting plagiarism in academic theses. The findings from this research are promising and highlight the potential of the application as a reliable tool for ensuring academic integrity. Future improvements could include expanding the dataset, enhancing the user interface, and integrating additional algorithms for cross-language plagiarism detection. This application contributes to academic honesty and is a valuable resource for educators, researchers, and students in combating plagiarism effectively.

Application of Multiple Linear Regression Method for Predicting Fish Production Based on Cultivation Type Limbong, Hendra Putranta; Abdullah, Dahlan; Anshari, Said Fadlan
International Journal of Engineering, Science and Information Technology Vol 5, No 1 (2025)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v5i1.717

One of the contributors to Indonesia's economy is the fisheries sector, which has a high potential for development. Fisheries are a highly promising subsector for development in Indonesia's growth efforts. Based on data from the Central Bureau of Statistics of Dairi Regency, three types of aquacultures remain actively utilized in each subdistrict: ponds/freshwater ponds and paddy fields. This research aims to develop a fish production prediction system based on aquaculture types using the Multiple Linear Regression method. The accuracy of the prediction results will be measured using the Mean Absolute Percentage Error (MAPE). The results of this study indicate that in almost every subdistrict, especially pond aquaculture, the MAPE value is 20%, which means it has good accuracy. However, exceptions are found in the Siempat Nempu Hulu subdistrict, which has a MAPE value of 34.29%, and the Silahisabungan subdistrict, which has a MAPE value of 43.78%. Despite these values, they are still categorized as sufficient since they are 50%. The lower the MAPE value, the more accurate the prediction results. The findings of this research show that the multiple linear regression method can be considered correct. For future predictions, some results show negative values. For instance, in Silimapunggapungga subdistrict, a decline in production is predicted for 2024 with -114.779 tons and 2025 with -134.316 tons. The pessimistic prediction results are caused by the decrease in the X2 variable (area size), leading to a minor Y (production) value, potentially becoming negative if the contribution of X2 is no longer sufficient to balance the values of X1 (b1) and a. On the other hand, the Lae Parira subdistrict is predicted to experience an increase in production in 2024 by 87.024 tons and in 2025 by 84.380 tons. This system is implemented using the Python programming language. It is expected to help relevant stakeholders understand production trends and enhance the efficiency of fisheries resource management in the Dairi Regency.

Prediction of Plantation Crop Production Based on Environment Using Linear Regression and Single Exponential Smoothing Methods Sari, Marlina; Abdullah, Dahlan; Maryana, Maryana
International Journal of Engineering, Science and Information Technology Vol 5, No 1 (2025)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v5i1.669

Indonesia, as an agrarian country, heavily relies on the plantation sector as a key driver of its national economy. One significant region contributing to this sector is West Aceh Regency, which consists of 12 districts and is renowned for cultivating five main plantation commodities: oil palm, coconut, rubber, coffee, and cocoa. This research aims to develop a plantation crop production prediction system to support efficient resource planning and management in this sector. The system employs Linear Regression and Single Exponential Smoothing (SES) with a smoothing constant (alpha) of 0.2. The system's primary objective is to analyze historical production data at the district level and generate reliable predictions of future production trends. Linear Regression models the relationship between time (independent variable) and production volume (dependent variable), effectively capturing long-term trends. SES complements this by addressing short-term fluctuations, applying a weighted average where recent data carries greater importance. Prediction accuracy is evaluated using the Mean Absolute Percentage Error (MAPE). Findings reveal that Linear Regression consistently achieves high accuracy, with MAPE values below 20% in most districts, particularly for coffee and cocoa. Conversely, SES demonstrates varying results, performing well in some cases, such as coconut production in Arongan Lambalek (MAPE 20%), but poorly in others, such as oil palm in Bubon (MAPE = 91.06%). In comparison, Linear Regression in Bubon yields a more moderate MAPE of 35.16%. The system is integrated into a user-friendly, web-based platform, accessible to stakeholders like farmers, policymakers, and government agencies. By offering actionable insights into production trends, it aids in mitigating risks, optimizing resource allocation, and enhancing plantation management efficiency. This research underscores the importance of predictive analytics in agricultural planning, with potential applications in other agrarian regions.

Implementation of Data Mining for Nutrition Clustering of Toddlers at Posyandu Using K-Means Algorithm Kamilah, Muna; Abdullah, Dahlan; Suwanda, Rizki
International Journal of Engineering, Science and Information Technology Vol 5, No 1 (2025)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v5i1.718

This study aims to determine the nutritional status of toddlers in the Peulimbang sub-district using a clustering method that can group toddlers based on their dietary indicators, such as gender (jk), age (u), height (tb), weight (bb), and upper arm circumference (Lila). By using data analysis techniques such as K-Means clustering, this study successfully identified several groups of toddlers with different nutritional statuses, ranging from malnutrition to good nutrition to obesity nutritional status. The data for this study were taken directly from the Peulimbang Health Center, and as many as 765 toddler data were collected from 16 villages in the Peulimbang area. The programming language used in this study is PHP, which functions in web development and is often used to process data sent via web formula, interact with databases, and manage user sessions. Based on the results of clustering with the K-Means method using Euclidean Distance as a measurement between points, toddler data has been grouped into three Clusters, namely C1, C2, and C3. Cluster C1 covers 22.81% of 147 malnourished toddlers, C2 covers 48% of 323 well-nourished toddlers, and C3 covers 29.19% of 205 obese toddlers. Based on the clustering results, improving nutrition education programs for parents is essential, especially in areas with poor or lacking nutritional status. This program can include counseling on the importance of balanced nutrition, nutritious cooking methods, and choosing the right Food for toddlers. Thus, this study is expected to contribute to improving toddlers' nutritional status and overall public health in the Peulimbang District area.

Co-Authors - Hartono . Zulfan A. Z, Abdullah Abdul Wahab Achmad Harristhana Mauldfi Sastraatmadja Aditia, Donny Adli Zain, Razlan Affiza, Denhaz Pattra Afisman, Heri Juni Afriza, Muhammad Ridho Agil, Helvina Agus Sukoco Akbar, Abdul Hanif Akhyar, Daniel 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 Annisa Karima Ansyari, Taufik Habib Anuar Bahri, Khairil 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 Chaizir, Muhammad Chaliza Nur, Wan Amalia Cindy Rahayu Cut Agusniar Cut Ita Erliana Cut Yusra Novita 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 Fikri, Khusnul Firman Aziz Gamar Al Haddar Gio, Prana Ugiana Habib Muharry Yusdartono Haedir, Haedir Halim, Paisal Hamdhana, Defry Hapsarini, Deslana Roidja Haris Danial Hartono Hartono 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 Imanda, Nanda 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 Luana Sasabone Lubis, Fauzan Arbi Lubis, Muhammad Hanafi Sahar 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 Misbahul Jannah Miswar Miswar Miswar Mochamad Gilang A Mubarok Mohammad, Wily Mohd Said, Noraslinda Mohd Syahrin Muchlis ABD Muthalib Muhamad Stiadi Muhammad Daud Muhammad Fikry Muhammad Ichsan Muhammad Ihsan Dacholfany Muhammad Ikhsan Setiawan Muhammad Ikhsan Setiawan Muhammad Ikhwani Muhammad Khahfi Zuhanda Muhammad Khalis, Muhammad Muhammad Riansyah Muhammad Zarlis Muhammad Zarlis, Muhammad Muharam, Suhari muli ani Munirul Ula Muslem Muslem Muslem Muslem, Muslem Muthmainnah Muthmainnah Muzaffar Rigayatsyah Muzaffar Rigayatsyah N. Nazaruddin Nadia Karunia, Meutia Nashihin Nasution, Zainannur Nefo Preyandre Ni Ketut Dewi Irwanti Nisa, Fidyatun Noviany, Henny Nunsina, Nunsina Nurdin Nurdin Nurhasanah Nursyamsi SY 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 Rahma, Hilmia Rahmat, Rezqiqah Aulia Ramlan, Rifqi Ramli, Rahmat Rasna, Rasna Razi, Ar Reskiawan, Bimas - Rezzy Eko Caraka Riansyah, Muhammad Richki Hardi Rifkial Iqwal Rini Meiyanti Risawandi, Risawandi 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 Sima, Yenny Simarmata, Marganda Sitti Nur Alam Subhan, Roni Sulistyandari, Sulistyandari Surnihayati Surnihayati Susanti, Putu Herny Sutarna, Agus Syahputra, Wawan Syamsiah Badruddin Syarifuddin Syarifuddin Tahulending, Anneke A Tarigan, Tasya Amelia Taufiq Taufiq 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 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 Zulfia , Anni

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