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All Journal Syntax Jurnal Informatika TELKOMNIKA (Telecommunication Computing Electronics and Control) Jurnal Informatika Speed - Sentra Penelitian Engineering dan Edukasi International Journal of Advances in Intelligent Informatics JOIV : International Journal on Informatics Visualization Informatika Mulawarman: Jurnal Ilmiah Ilmu Komputer International Journal of Artificial Intelligence Research RABIT: Jurnal Teknologi dan Sistem Informasi Univrab SISFOTENIKA Jurnal SOLMA JOURNAL OF APPLIED INFORMATICS AND COMPUTING IJEBD (International Journal Of Entrepreneurship And Business Development) JITTER (Jurnal Ilmiah Teknologi Informasi Terapan) International Journal of Supply Chain Management Journal on Education Jurdimas (Jurnal Pengabdian Kepada Masyarakat) Royal JOURNAL OF SCIENCE AND SOCIAL RESEARCH JUSIM (Jurnal Sistem Informasi Musirawas) JISICOM (Journal of Information System, Infomatics and Computing) Journal of Information System, Applied, Management, Accounting and Research Industrial Engineering Journal (IEJ) Jurnal Informasi dan Teknologi Vocatech : Vocational Education and Technology Journal JTIK (Jurnal Teknik Informatika Kaputama) Indonesian Journal of Electrical Engineering and Computer Science Journal of Computer Science, Information Technology and Telecommunication Engineering (JCoSITTE) JINAV: Journal of Information and Visualization International Journal of Engineering, Science and Information Technology Cendikia : Media Jurnal Ilmiah Pendidikan Indonesian Journal of Networking and Security - IJNS SPEED - Sentra Penelitian Engineering dan Edukasi Jurnal Janitra Informatika dan Sistem Informasi Brilliance: Research of Artificial Intelligence TECHSI - Jurnal Teknik Informatika Jurnal Energi Elektrik Jurnal Teknologi Terapan and Sains 4.0 Pusaka : Journal of Tourism, Hospitality, Travel and Business Event Variasi : Majalah Ilmiah Universitas Almuslim Journal on Research and Review of Educational Innovation Sahabat Sosial: Jurnal Pengabdian Masyarakat Journal Of Artificial Intelligence And Software Engineering Bulletin of Engineering Science, Technology and Industry International Journal of Applied Management and Business Jurnal Info Kesehatan Journal of Industrial Engineering and Management Jurnal Informatika Proceedings of International Conference on Multidisciplinary Engineering (ICOMDEN) INTERNATIONAL JOURNAL OF HUMANITIES, SOCIAL SCIENCES AND BUSINESS (INJOSS) International Journal of Teaching and Learning (INJOTEL) Indonesian Journal of Education (INJOE)
Dahlan Abdullah
Universitas Malikussaleh
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The Role of Ergonomic Interventions in Enhancing Employee Well-being: A Case Study from the Hospitality Industry Irwanti, Ni Ketut Dewi; Adiatmika, I Putu Gede; Muliarta, I Made; Abdullah, Dahlan
JURNAL INFO KESEHATAN Vol 22 No 4 (2024): JURNAL INFO KESEHATAN
Publisher : Research and Community Service Unit, Poltekkes Kemenkes Kupang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31965/infokes.Vol22.Iss4.1725

Abstract

The impact of ergonomic interventions and multitasking on employee well-being, particularly in high-demand hospitality settings, explores how these factors interact with perceived organizational support, an essential mediator that could influence employee satisfaction, health, and productivity. This study aims to discover the relationships among ergonomic interventions, multitasking, perceived organizational support, and employee well-being, focusing on employees of the Puri Saron Hotel Group in Bali. The study employs a quantitative methodology, utilizing SEM SmartPLS 3 software. Data was collected over questionnaires spread to a sample of 100 employees, following Slovin’s formula. The findings contribute to the growing field of workplace ergonomics by demonstrating that both physical ergonomic interventions positively, with the with the highest significant impact, and followed by multitasking for employee well-being, as the study is focused on a single hospitality group, the generalizability of the results may be limited. The enhancing ergonomic conditions and multitasking abilities, coupled with strong organizational support, can significantly improve employee well-being, particularly in industries with high physical and cognitive demands. this offering valuable insights into the role of perceived organizational support in mediating these relationships.
Forecasting Palawija Harvest Results In North Aceh Using Multiple Linear Regression Method Fadlisyah, Fadlisyah; Abdullah, Dahlan; Aulia Barus, M Farhan; Riansyah, Muhammad
International Journal of Artificial Intelligence Research Vol 6, No 1 (2022): June 2022
Publisher : STMIK Dharma Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29099/ijair.v6i1.425

Abstract

The agricultural sector is one sector that is very dominant in people's income in Indonesia because most Indonesians work as farmers. One of the plants that play the most crucial role is the palawija plant. An increase in the amount of production and the harvested area will also increase the amount of harvest produced; therefore, to find out which areas have the potential to become producers of productive secondary crops in North Aceh, one of them is by predicting crop yields using the multiple linear regression method. The dataset used for this research is data on the development of palawija crop intensification in North Aceh Regency from 2017 to 2021, taken from the Department of Agriculture and Food Crops, North Aceh Regency. The multiple linear regression method is implemented by entering actual data. Then the data will be calculated in various stages, starting from determining the value of constants and coefficients using a table helper. After getting the result value, then converted into matrix form A and H to find the determinants A1, A2, A3, and A4. After that, enter it into a linear regression pattern and produce a predictive value of crop yield data for the coming year. Calculations in the linear regression method are taken on soybean yields in the Tanah Jambu Aye sub-district in 2022, ranging from 61.00 tons.
ANALISIS KEPUASAN PENGGUNA APLIKASI DANA MENGGUNAKAN METODE END USER COMPUTING SATISFACTION (EUCS) DAN DELONE & MCLEAN Widiyani, Maya; Fachrurrazi, Sayed; Abdullah, Dahlan
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol 8, No 3 (2025): August 2025
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v8i3.4104

Abstract

Abstract: The development of digital technology has driven transformation in the financial sector through the use of e-wallet applications, one of which is DANA, a popular platform in Indonesia. Although it has many users, negative reviews regarding system and information quality are still found, indicating a gap between user expectations and experiences. This study analyzes user satisfaction levels with the DANA application by combining two theoretical approaches: End User Computing Satisfaction (EUCS) and the DeLone & McLean Model. EUCS assesses five satisfaction dimensions: content, accuracy, format, ease of use, and timeliness, while the DeLone & McLean Model adds system quality, information quality, service quality, and net benefits dimensions. Data were collected through an online questionnaire from 352 active DANA users across Indonesia and analyzed using Structural Equation Modeling (SEM) with SPSS 25 and AMOS 25 software. The results show that the indicators content, accuracy, service quality, and net benefits significantly influence user satisfaction, whereas format, ease of use, timeliness, system quality, and information quality do not have a significant effect. Overall, most users are satisfied with the services provided by the DANA application. Keywords: User Satisfaction, DeLone & McLean, EUCS, DANA, e-wallet. Abstrak: Perkembangan teknologi digital telah mendorong transformasi di bidang keuangan melalui aplikasi e-wallet, salah satunya DANA yang populer di Indonesia. Meski memiliki banyak pengguna, ulasan negatif terkait kualitas sistem dan informasi masih ditemukan, menunjukkan adanya kesenjangan antara ekspektasi dan pengalaman pengguna. Penelitian ini menganalisis tingkat kepuasan pengguna aplikasi DANA dengan menggabungkan dua pendekatan teoritis, yaitu End User Computing Satisfaction (EUCS) dan Model DeLone & McLean. EUCS menilai lima dimensi kepuasan yaitu content, accuracy, format, ease of use, dan timeliness, sedangkan Model DeLone & McLean menambahkan dimensi system quality, information quality, service quality, dan net benefits. Data dikumpulkan melalui kuesioner daring kepada 352 responden aktif pengguna DANA di seluruh Indonesia dan dianalisis menggunakan Structural Equation Modeling (SEM) dengan SPSS 25 dan AMOS 25. Hasilnya menunjukkan indikator content, accuracy, service quality, dan net benefits berpengaruh signifikan terhadap kepuasan pengguna, sementara format, ease of use, timeliness, system quality, dan information quality tidak berpengaruh signifikan. Secara keseluruhan, mayoritas pengguna merasa puas dengan layanan DANA. Kata kunci: Kepuasan Pengguna, Delone & Mclean, EUCS, DANA, E-wallet
Toward a Sustainable Rural Tourism Workforce: Current Trends and Future Prospects in Indonesia Kalsum, ER. Ummi; Abdullah, Dahlan; Widjaja, Herry Rachmat
Pusaka : Journal of Tourism, Hospitality, Travel and Business Event Vol. 7 No. 2 (2025): August-December
Publisher : Politeknik Pariwisata Makassar, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33649/pusaka.v6i2.477

Abstract

This study explores the evolving dynamics of Indonesia’s rural tourism workforce, emphasizing its role in regional development and the challenges it faces. As rural tourism grows, driven by unique cultural and natural assets, it creates employment but also exposes workforce limitations, including low digital literacy, seasonal jobs, and skill gaps. The study aims to understand how demographic factors such as age, gender, education, and skills shape the workforce and influence its adaptability. Using a qualitative descriptive approach supported by secondary data analysis, this paper examines trends in workforce composition and the impact of digital transformation on rural employment. Findings indicate a growing demand for digital competencies, yet rural areas often lack training access and strategic workforce development. Challenges like job insecurity and limited career pathways further hinder sustainable growth. The study highlights the need for targeted interventions through human resource development, emphasizing collaboration between government, educational institutions, and industry. It concludes by recommending strategic training programs, strengthened academia-industry partnerships, and policy support to ensure workforce resilience and competitiveness. This research contributes to the discourse on sustainable tourism by offering insights into workforce readiness, serving as a roadmap for strengthening Indonesia’s rural tourism sector.
IMPLEMENTATION OF LONG SHORT TERM MEMORY (LSTM) ALGORITHM FOR PREDICTING STOCK PRICE MOVEMENTS OF LQ45 INDEX (CASE STUDY: BBCA 2017 – 2023 STOCK PRICE) Cindy Rahayu; Dahlan Abdullah; Zara Yunizar
Bulletin of Engineering Science, Technology and Industry Vol. 1 No. 2 (2023): June
Publisher : PT. Radja Intercontinental Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59733/besti.v1i2.6

Abstract

This research aims to implement the Long Short Term Memory (LSTM) algorithm in predicting the movement of LQ45 stock prices. In this study, historical data of BBCA stock prices were used as an example of LSTM method implementation. The development process of the stock price prediction application begins with the collection of historical data, which then undergoes a preprocessing stage for normalization. The data is divided into training and testing sets, and transformed into suitable sequences for LSTM model input. The LSTM model is trained using the backpropagation through time algorithm and tested using the testing data. The predicted results from the LSTM model are compared with the actual labels using RMSE and MAPE metrics. Once satisfactory predictions are obtained, they are stored in a database and presented to users in the form of graphs and comparison tables. The implementation of LSTM in this research demonstrates prediction accuracy with an error percentage below 6%, with MAPE of 5.4772% and RMSE of 6.658%. Furthermore, the implementation of LSTM in the developed application using the latest historical data also yields low error percentages, with MAPE ranging from 3.7763% to 5.8048% for various stock price features. In conclusion, the LSTM method can be used for predicting stock price movements with satisfactory accuracy, providing valuable information for investment decision-making.
ANALISIS METODE FUZZY C-MEANS UNTUK DETEKSI DAN KLASTERISASI PENYAKIT DIABETES DI RSUD PIDIE JAYA Arifah, Mutia; Muthmainnah, Muthmainnah; Abdullah, Dahlan
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol 8, No 3 (2025): August 2025
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v8i3.4201

Abstract

Abstract: Diabetes is a chronic disease with a steadily increasing number of suf Mutia Arifah ferers every year, including in Pidie Jaya Regency. Early detection and clustering of sufferers are crucial to support effective disease management, personalized care, and more targeted allocation of health resources. This study aims to cluster sub-districts based on the number of diabetes sufferers using the Fuzzy C-Means (FCM) method. This method was chosen because it can flexibly group data by calculating the degree of membership of each data item within each cluster. The data used is secondary data on the number of diabetes sufferers from 12 sub- districts in Pidie Jaya Regency during the 2021-2024 period. The clustering process is carried out through several stages: parameter initialization, random creation of an initial partition matrix, calculation of cluster centers, degree of membership, and iterative evaluation of the objective function until convergence. The results show that Fuzzy C-Means successfully divides the data into two clusters: high and low clusters. Subdistricts such as Trienggadeng and Meureudu are in the high cluster, while Cubo and Jangka Buya are in the low cluster. The objective function value decreased significantly and reached convergence at the 13th iteration. The results of this study are expected to assist local governments and health agencies in developing more targeted policies based on the geographic distribution of diabetes sufferers in the Pidie Jaya region.Keyword: Diabetes, Clustering, Fuzzy C-Means.Abstrak: Diabetes merupakan salah satu penyakit kronis yang jumlah penderitanya terus meningkat setiap tahun, termasuk di Kabupaten Pidie Jaya. Deteksi dini dan klasterisasi penderita sangat penting untuk mendukung manajemen penyakit yang efektif, personalisasi perawatan, serta alokasi sumber daya kesehatan yang lebih tepat sasaran. Penelitian ini bertujuan untuk mengklaster wilayah kecamatan berdasarkan jumlah penderita diabetes menggunakan metode Fuzzy C-Means. Metode ini dipilih karena mampu mengelompokkan data secara fleksibel dengan memperhitungkan derajat keanggotaan setiap data terhadap masing-masing klaster. Data yang digunakan berupa data sekunder jumlah penderita diabetes dari 12 kecamatan di Kabupaten Pidie Jaya selama periode 2021, 2022, 2023 hingga 2024. Proses klasterisasi dilakukan melalui beberapa tahap, yaitu inisialisasi parameter, pembuatan matriks partisi awal secara acak, perhitungan pusat klaster, derajat keanggotaan, dan evaluasi fungsi objektif secara iteratif hingga konvergensi. Hasil penelitian menunjukkan bahwa Fuzzy C-Means berhasil membagi data menjadi dua klaster, yaitu klaster tinggi dan rendah. Kecamatan seperti Trienggadeng dan Meureudu termasuk klaster tinggi, sedangkan Cubo dan Jangka Buya termasuk klaster rendah. Nilai fungsi objektif menurun signifikan dan mencapai konvergensi pada iterasi ke-13. Hasil penelitian ini diharapkan dapat membantu pemerintah daerah dan instansi kesehatan dalam membuat kebijakan yang lebih tepat sasaran berdasarkan distribusi geografis penderita diabetes di wilayah Pidie Jaya.Kata kunci: Diabeter, Clustering, Fuzzy C-Means.
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

Abstract

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

Abstract

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

Abstract

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

Abstract

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
Co-Authors - Hartono . Zulfan Abdul Wahab Abdullah A. Z Abdurrozzaq Hasibuan Achmad Harristhana Mauldfi Sastraatmadja Aditia, Donny Adli Zain, Razlan Afisman, Heri Juni Afriza, Muhammad Ridho Agil, Helvina Agus Sukoco Akbar, Abdul Hanif Aktina Manik Al Kautsar Aidilof, Hafizh Al- Amin Al-Amin Alfiya Zahara Ali Nasith Alimul Haq, Nur Ambas, Jamin Amny Yasira Amrina Amrina Ananda Faridhatul Ulva Andik Bintoro ani, Muli Anisa Ratuliza Anni Zulfia Annisa Karima Anuar Bahri, Khairil Ar Razi Ari Andriyas Puji Arifah, Mutia Arifin, Arifin Arnawan Hasibuan Arwin Putra Aslam Aslam Aswita Indah Luthfiana Hasibuan Aulia Barus, M Farhan Ayu Anggreni, Made Cindy Rahayu Cut Agusniar Cut Ita Erliana Cut Yusra Novita Daniel Akhyar Darmawanta Sembiring Dedi Fariadi Defi Irwansyah Defi Irwansyah Defry Hamdhana Deisye Supit Deslana Roidja Hapsarini Devin Mahendika Dita Amelia 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 Faridiansyah, Teuku Iqbal Fatur Rahman Maulana Fazil, M Fidyatun Nisa Fikri, Khusnul Firman Aziz Fitria Apriyulida 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, Fadilah Suryani Hasibuan, Muammar Faturrahman Hendra Putranta Limbong 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 Irdanil Kamal, Irdanil Irianto, Sugeng Irma Oktari Irwansyah, Defi Iswan Riyadi Iswandi Iswandi Iswandi Iswandi Iylia Azlan, Rabiatul Juarni Siregar Judijanto, Loso Junaidi Salat Kartika Kartika Kartini Rahayu Khairul Fuadi Khairullah Yusuf Khoirul Islam Komang Ayu Krisna Dewi Kosasih Kosasih , Kosasih Kurniawansyah Kurniawansyah Kurniawati Kurniawati La Ode Muhammad Idrus Hamid Basri Lahap, Johanudin Laros Tuhuteru Latif, Sarifudin Andi Lestari, Nana Citrawati Lestari, Veronika Nugraheni Sri Lidya Rosnita Lisa Mulia Al Ikhlas Luana Sasabone Lubis, Fauzan Arbi Luh Yusni Wiarti M Farhan Aulia Barus M Fauzan M. KHAIRUL JIMLI ALFUADI Maharani Asnur, Sardian Mahesa Reglisalo Marganda Simarmata Marlina Sari Maryana Maryana Maryana Maryana, Maryana Masriadi Maulinda, Rerin Maya Savira Maya Widiyani Meilyana Meilyana Meutia Nadia Karunia 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 Ikhwanus Muhammad Iqbal Muhammad Khahfi Zuhanda Muhammad Khalis Muhammad Riansyah Muhammad Sayuti Muhammad Zarlis Muhammad Zarlis, Muhammad Muharam, Suhari muli ani Muna Kamilah Munirul Ula Muslem Muslem Muslem Muthmainnah Muthmainnah Muthmainnah Muthmainnah Mutia Arifah Muzaffar Rigayatsyah Muzaffar Rigayatsyah N. Nazaruddin Nadi, Muhammad Abi Berkah Nadya Raudathul Sofa Nanda Imanda Nashihin Nasution, Zainannur Nefo Preyandre Ni Ketut Dewi Irwanti Noviany, Henny Nunsina, Nunsina Nur Saufani Ulfa Nurdin Nurdin Nurhasanah Nursyamsi SY Nuruddin Nuruddin Oksfriani Jufri Sumampouw Pasaribu, Hafni Maya Sari Pertiwi, Anggun Pikri, Faizal Poetri AL-Viany Maqfirah Putu Eka Wirawan Rafi’i, Rafi’i Rahma Fitria, Rahma Rahmat, Rezqiqah Aulia Ramlan, Rifqi Ramli, Rahmat 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 Rizwan Saputra Roslaini Roslaini S, Syarifuddin Sabriana, Riska Safwandi Safwandi Safwandi Safwandi, Safwandi Said Anshari Said Fadlan Anshari Salamah Salamah Samsul A Rahman Sidik Hasibuan Sandya, Deasy Saputra, Nanda Sasabone, Luana Satria Pati Alam Sayed Fachrurrazi Selamat Meliala Seno Lamsir 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 Taufik Habib Ansyari Taufiq Taufiq Teuku Mudi Hafli Touwe, Yohana S Touwe, Yohana S. Tri Suryowidiyanti Ultra Prayogi Ulumul Haq, Bahrul Utomo, Muhammad Fikri Veronika Nugraheni Sri Lestari Victor E. D Palapessy Wa Ode Riniati Wahyu Pertiwi, Yuarini Wan Amalia Chaliza Nur 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 Zainannur Nasution Zalfie Ardian Zara Yunizar Zega, Subhansah Zulfahmi Zulfahmi