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All Journal Jurnal Pengolahan Hasil Perikanan Indonesia Jurnal Ekonomi Daerah (JEDA) Jurnal Ekonomi, Bisnis dan Kewirausahaan (JEBIK) Jurnal Informatika Jurnal Teknologi Informasi dan Ilmu Komputer Wardah Jurnal Media Gizi Indonesia (MGI) JOURNAL OF HEALTHCARE TECHNOLOGY AND MEDICINE Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING AcTion: Aceh Nutrition Journal Jurnal Ekonomi Integra JTAM (Jurnal Teori dan Aplikasi Matematika) Al Qalam: Jurnal Ilmiah Keagamaan dan Kemasyarakatan ILKOM Jurnal Ilmiah Martabe : Jurnal Pengabdian Kepada Masyarakat Jurnal Teknologi Pertanian JURNAL PENDIDIKAN TAMBUSAI Amerta Nutrition Journals of Ners Community JRA: Jurnal Riset Akuntansi JIK- JURNAL ILMU KESEHATAN Jurnal Menara Ekonomi : Penelitian dan Kajian Ilmiah Bidang Ekonomi Jurnal Agrotek Lestari Jurnal Ners Community Development Journal: Jurnal Pengabdian Masyarakat Journal of Computer Science, Information Technology and Telecommunication Engineering (JCoSITTE) Management of Zakat and Waqf Journal (MAZAWA)) Rambideun : Jurnal Pengabdian Kepada Masyarakat International Journal of Engineering, Science and Information Technology Yayasan Cita Cendikiawan Al Khwarizmi Jurnal Hurriah: Jurnal Evaluasi Pendidikan dan Penelitian Meukuta Alam : Jurnal Ilmiah Mahasiswa JURNAL ILMIAH GLOBAL EDUCATION Multidiciplinary Output Research for Actual and International Issue (Morfai Journal) Ikhtisar: Jurnal Pengetahuan Islam International Journal of Economic, Business, Accounting, Agriculture Management and Sharia Administration (IJEBAS) MASTER: Jurnal Manajemen Strategik Kewirausahaan Jurnal Teknik Sipil Giratory Upgris Jurnal Minfo Polgan (JMP) Journal of Renewable Energy, Electrical, and Computer Engineering Jurnal Teknologi Lingkungan Lahan Basah TECHSI - Jurnal Teknik Informatika Balanca : Jurnal Ekonomi dan Bisnis Islam Jurnal Ekonomika Dan Bisnis Sisfo: Jurnal Ilmiah Sistem Informasi Tameh : Journal of Civil Engineering Fikruna : Jurnal Ilmiah Kependidikan dan Kemasyarakatan Jurnal Pendidikan Matematika Malikussaleh Jurnal Teknologi Terapan and Sains 4.0 Jurnal Bangun Abdimas Jurnal Ilmiah Ilmu Terapan Universitas Jambi Proceeding Applied Business and Engineering Conference Jurnal Ilmiah Pengabdian dan Inovasi International Journal of Information System & Innovative Technology EJOIN : Jurnal Pengabdian Masyarakat Jurnal Hukum Ekonomi Syariah : AICONOMIA Innovative: Journal Of Social Science Research SINTHOP: Media Kajian Pendidikan, Agama, Sosial dan Budaya Jurnal Pengabdian Masyarakat Bangsa MEUSEURAYA : JURNAL PENGABDIAN MASYARAKAT Journal Of Artificial Intelligence And Software Engineering RESLAJ: Religion Education Social Laa Roiba Journal Jurnal Malikussaleh Mengabdi Jurnal Riset Ilmiah Indonesian Journal of Community Empowerment Jurnal Pengabdian Masyarakat Journal of Advanced Computer Knowledge and Algorithms Jurnal Sains, Teknologi dan Kesehatan Jurnal Solusi Masyarakat Dikara Ruang Komunitas : Jurnal Pengabdian Masyarakat International Journal of Information System and Innovative Technology Journal of Agrotechnology and Sustainability Jurnal Pengembangan dan Pengabdian Masyarakat Asian Journal of Science Education RANGGUK: Jurnal Pengabdian Kepada Masyarakat AICOS Proceeding of The International Conference on Electrical Engineering and Informatics Proceedings of International Conference on Multidisciplinary Engineering (ICOMDEN)
Bustami Bustami
Teknik Informatika Universitas Malikussaleh
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IMPLEMENTATION OF A SMART EMERGENCY LAMP HOME PROTOTYPE BASED ON INTERNET OF THINGS (IoT) USING NODEMCU ESP32 MICROCONTROLLER Muhammad Fajri; Bustami Bustami; Lidya Rosnita
Multidiciplinary Output Research For Actual and International Issue (MORFAI) Vol. 4 No. 4 (2024): Multidiciplinary Output Research For Actual and International Issue
Publisher : RADJA PUBLIKA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54443/morfai.v4i4.3546

Abstract

Power outages in residential environments such as boarding houses often disrupt safety and comfort due to the lack of adequate emergency lighting systems. This study aims to develop a Smart Emergency Lamp Home prototype using the Internet of Things (IoT) with a NodeMCU ESP32 microcontroller. The system is designed to automatically activate emergency lighting during power failures and enable real-time monitoring and control via a web-based interface. The research follows an engineering method involving system design, hardware-software integration, and prototype testing. The hardware includes power sensors (INA219 and PZEM-004T), a 12V battery, inverter, relay module, and TFT display, while the software uses Node.js and a PostgreSQL database for web monitoring. Testing results demonstrate the system's high responsiveness, accurate sensor data transmission, efficient power usage (with power factors above 0.94), and stable operation during simulated blackouts. The notification system also worked effectively, providing timely alerts regarding lamp status and battery conditions. This prototype offers a practical, scalable, and low-cost solution for emergency lighting in residential settings and can be further developed with features like solar charging and mobile-based monitoring.
PEMBERDAYAAN KELUARGA DALAM DETEKSI DINI DAN PENCEGAHAN DIABETIK FOOT ULCER (DFU) Amiruddin, Amiruddin; Bustami, Bustami; Anasril, Anasril
MAJU : Indonesian Journal of Community Empowerment Vol. 3 No. 1 (2026): MAJU : Indonesian Journal of Community Empowerment, January 2026
Publisher : Lembaga Pendidikan dan Penelitian Manggala Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62335/maju.v3i1.2172

Abstract

Diabetes mellitus can cause various complications, including heart disease, nephropathy, retinopathy, and neuropathy. The main cause of foot amputation in individuals with DM is diabetic foot ulcer (DFU). The number of DM patients in Kuala Bhee village continues to increase. As of December 2023, there were 20 DM patients in Kuala Bhee village. Two DM patients suffer from diabetic foot ulcers and are undergoing wound treatment. This community service aims to increase the capacity of families in early detection and prevention of Diabetic Foot Ulcers (DFU) in Gampong Kuala Bhee, Woyla District, West Aceh Regency. The methods used were health education and training in the Ipswich Touch Test (IpTT) screening. The results of the activity showed that the education successfully increased community knowledge, and the community was able to perform screening using the Ipswich Touch Test (IpTT). Follow-up actions are needed regarding efforts to prevent Diabetic Foot Ulcers in DM patients by family members, health centers, and other relevant institutions.  
PEMBERDAYAAN KADER KESEHATAN DAN KELUARGA DALAM PERAWATAN DAN PEMBERANTASAN PENYAKIT TB PARU Anasril, Anasril; Bustami, Bustami; Herlambang, Tri Mulyono
MAJU : Indonesian Journal of Community Empowerment Vol. 3 No. 1 (2026): MAJU : Indonesian Journal of Community Empowerment, January 2026
Publisher : Lembaga Pendidikan dan Penelitian Manggala Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62335/maju.v3i1.2173

Abstract

Tuberculosis (TB) is an infectious disease caused by Mycobacterium tuberculosis. The main problems with TB today are the high prevalence rate and low compliance rate. In the village of Kuta Jeumpa, five new cases of pulmonary TB were found. Another problem is the lack of participation by health cadres in the prevention and eradication of pulmonary TB. This community service program aims to increase the capacity of health cadres and families of pulmonary TB patients in the treatment and eradication of pulmonary TB. The methods used are counseling, simulation, and training for PMO. The results of community service through education showed that the ability of cadres and families of pulmonary TB patients regarding efforts to prevent and eradicate pulmonary TB has increased. Families of pulmonary TB patients also have a better understanding of the role of PMO for pulmonary TB patients. These results indicate that follow-up is needed to improve efforts to prevent transmission and treat pulmonary TB by families, health centers, and other relevant agencies.
Pengabdian Kepada Masyarakat: Implementasi Artificial Intelligence Generatif sebagai Upaya Peningkatan Literasi Digital di Sekolah Sahputra, Ilham; Fadasrsyah, Fadasrsyah; Bustami, Bustami; Fauzan, Fauzan; Faridiansyah, T Iqbal; Irwansyah, Defi
Jurnal Pengabdian Masyarakat Bangsa Vol. 3 No. 11 (2026): Januari
Publisher : Amirul Bangun Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59837/jpmba.v3i11.3766

Abstract

Perkembangan teknologi digital, khususnya AI Generatif, telah memotivasi sekolah untuk meningkatkan literasi digital peserta didik. Program pengabdian ini bertujuan mendampingi sekolah dalam memanfaatkan AI Generatif untuk meningkatkan literasi digital dan memperkenalkan prinsip etika penggunaan teknologi secara bertanggung jawab. Metode yang diterapkan meliputi survei kebutuhan, pelatihan, workshop interaktif, pendampingan di kelas, serta evaluasi dampak. Hasil menunjukkan peningkatan pemahaman siswa tentang AI, etika digital, dan kemampuan verifikasi informasi. Siswa dapat mengintegrasikan AI dalam materi ajar dan evaluasi secara lebih efisien, serta mengembangkan keterampilan berpikir kritis. Penggunaan AI juga meningkatkan efisiensi waktu pengerjaan tugas hingga 60-70% dan memperkaya pembelajaran melalui penjelasan kontekstual adaptif. Meskipun ada kendala teknis, program ini memberikan dampak positif signifikan, meningkatkan literasi digital secara holistik dan mendukung pembelajaran yang lebih inklusif dan kreatif.
Exploratory Data Analysis and Machine Learning Approaches for Early Detection of Student Depression Muhammad Fikry; Bustami Bustami; Ella Suzanna
Proceeding of the International Conference on Electrical Engineering and Informatics Vol. 1 No. 2 (2024): July : Proceeding of the International Conference on Electrical Engineering and
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/iceei.v1i2.31

Abstract

This study conducts an exploratory data analysis combined with machine learning techniques to identify early signs of student depression. We investigated various factors affecting mental health among students, including sleep duration, dietary patterns, history of suicidal thoughts, family history of mental illness, and their relationships with depression across age groups and academic pressure. The study also examined the influence of gender on academic stress levels. Three machine learning models such as Random Forest, Support Vector Machine (SVM), and K-Nearest Neighbors (KNN) were utilized to predict depression. The performance of these models was evaluated, achieving accuracy rates of 84.97% for Random Forest, 84.85% for SVM, and 81.16% for KNN. The findings highlight the effectiveness of these models in predicting student depression and underscore the importance of targeted mental health interventions based on key factors influencing mental health among students.
Sistem Informasi Geografis ( Sig ) Pemetaan Daerah Rawan Bencana Banjir di Kec. Lhoksukon Kab. Aceh Utara Berbasis Web Menggunakan Metode K-Medoids Karimullah Karimullah; Bustami Bustami; Hafizh Al Kautsar
Jurnal Ners Vol. 9 No. 3 (2025): JULI 2025
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jn.v9i3.46244

Abstract

Abstrak Banjir merupakan bencana alam yang sering terjadi di Indonesia, termasuk di Kecamatan Lhoksukon, Kabupaten Aceh Utara. Minimnya informasi spasial mengenai daerah rawan banjir menghambat upaya mitigasi dan penanggulangan bencana secara efektif. Penelitian ini bertujuan untuk membangun sebuah Sistem Informasi Geografis (SIG) berbasis web guna memetakan daerah rawan bencana banjir dengan menerapkan metode clustering K-Medoids. Data yang digunakan berasal dari Badan Penanggulangan Bencana Daerah (BPBD) Aceh Utara tahun 2017–2021 serta hasil wawancara dengan masyarakat setempat. Sistem ini mampu mengelompokkan daerah berdasarkan tingkat kerawanan banjir berdasarkan beberapa parameter seperti struktur tanah, kemiringan tanah, dan penggunaan lahan. Metode K-Medoids dipilih karena memiliki ketahanan yang lebih baik terhadap outlier dibanding metode lain seperti K-Means. Hasil sistem divisualisasikan dalam bentuk peta digital yang dapat diakses melalui web untuk memudahkan pihak BPBD dan masyarakat dalam memahami distribusi kerawanan banjir. Dengan adanya sistem ini, diharapkan dapat membantu dalam pengambilan keputusan yang lebih cepat dan akurat dalam upaya penanggulangan bencana banjir di masa depan. Kata Kunci: Sistem Informasi Geografis, Banjir, K-Medoids, Clustering, Aceh Utara Abstract Flooding is a frequent natural disaster in Indonesia, including in Lhoksukon Subdistrict, North Aceh Regency. The lack of spatial information regarding flood-prone areas hampers effective disaster mitigation and response. This research aims to develop a web-based Geographic Information System (GIS) to map flood-prone areas using the K-Medoids clustering method. The data used were obtained from the North Aceh Regional Disaster Management Agency (BPBD) for the years 2017–2021 and interviews with local residents. The system classifies regions based on flood vulnerability levels using parameters such as soil structure, land slope, and land use. The K-Medoids method was chosen for its superior resilience to outliers compared to other methods such as K-Means. The results are visualized through a web-accessible digital map to help BPBD and the public understand the spatial distribution of flood risk. This system is expected to support quicker and more accurate decision-making for future flood disaster management. Keywords: Geographic Information System, Flood, K-Medoids, Clustering, North Aceh
Application Of Data Mining For Classification Of BLT-DD Recipients Using The Support Vector Machine Method Meliza Putri; Bustami; Ar Razi
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

Abstract

This study focuses on the application of the Support Vector Machine (SVM) algorithm for classifying recipients who are eligible to receive Direct Cash Assistance from the Village Fund (BLT-DD) in Nurussalam District, East Aceh Regency. The background of this research is the difficulty in identifying households eligible for BLT-DD due to increasing poverty and economic inequality exacerbated by the COVID-19 pandemic. This study aims to address this issue by utilizing the SVM algorithm, which can separate household data into two categories: "Eligible" and "Not Eligible." A total of 550 data points from Nurussalam District were used in this study, with 400 data points for training and 150 data points for testing. In the training data, 322 households (80.5%) were classified as "Eligible," while 78 households (19.5%) were categorized as "Not Eligible." The data collected includes variables such as household income, type of employment, education level, history of chronic disease, and home ownership status. After preprocessing the data, such as normalization and encoding, the SVM model was trained to classify BLT-DD recipients. In the testing data, 128 data points (85.33%) were classified as "Eligible," while 22 data points (14.67%) were classified as "Not Eligible." Further analysis of village distribution in Nurussalam District shows that some villages have a high percentage of eligible recipients, such as Blang Rambong and Alue Jagat, with 100% of recipients classified as "Eligible." Other villages, such as Arul Pinang and Alue Dua Muka O, show more varied eligibility rates, with 71.43% and 72.73% classified as "Eligible," respectively. In conclusion, the SVM algorithm provides an effective approach in determining the eligibility of BLT-DD recipients, helping the government to distribute assistance more accurately and efficiently in Nurussalam District.
Recommendation System For Choosing The Best Laptop For Informatics Students Using The SMART Method Depi Sihotang; Bustami; lidyarosnita
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

Abstract

In the rapidly advancing digital era, the use of laptops has become an essential need, especially for students. The problem of choosing the right laptop is still often experienced by many students. This issue arises due to a lack of knowledge in selecting laptops with good specifications and affordable prices, so purchasing decisions are often based on friends' recommendations or advertisements that do not always meet their academic needs optimally. This research uses the Simple Multi Attribute Rating Technique (SMART) method. SMART is a flexible decision-making method. The process of determining the best laptop involves criteria such as price, processor type, monitor screen size, operating system, RAM, VGA type, and storage. The system provides solutions by using the SMART method to evaluate the weights and criteria that have been determined. The ranking process is carried out to determine the best laptop for students majoring in informatics. From 10 data samples for the Informatics department, the highest alternative value (A4) was obtained, namely "ACER Swift X 14 SFX14-71G-70KB" with a final score of 0.866666667, and the lowest alternative value (A8) was "ASUS VivoBook 14 A1404ZA-IPS321" with a final score of 0.166666667. The process of determining the best laptop using the Simple Multi Attribute Rating Technique (SMART) method aims to help informatics students choose laptops that suit their academic needs.
TF-IDF Algorithm For Weighting In Determining The Similarity Of Text In Documents Bustami Bustami
Proceedings of International Conference on Multidisciplinary Engineering (ICOMDEN) Vol. 1 (2018): Proceedings of International Conference on Multidisciplinary Engineering (ICOMDEN)
Publisher : Faculty of Engineering, Malikussaleh University

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

Abstract

The grouping of research documents is needed to facilitate information retrieval. Sometimes we have to read one by one the contents of a document to be able to group it or know the existing information. This research attempts to help in finding information that exists in documents quickly. The information searching in documents by calculating the Term Frequency (TF) and Inverse Document Frequency (IDF) values on each token (word) in each document. The TF-IDF algorithm is an algorithm to calculate the weight of each word that is most commonly used in information retrieval. This algorithm is also known to be efficient, easy and accurate to get results. The accuracy of this algorithm in finding the information in a document reaches above 83,3%.
Evaluating Socio-Economic Impacts of Productive Zakat on Mustahik Empowerment: A Propensity Score Matching Analysis Toni, Hariya; Syafii, Muhammad Hisyam; Bustami, Bustami; Azhari, Husain; Alaldaya, Rudyn
Management of Zakat and Waqf Journal (MAZAWA) Vol. 8 No. 1 (2026): Management of Zakat and Waqf Journal (MAZAWA)
Publisher : Universitas Islam Negeri Sunan Ampel Sunan Ampel

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15642/mzw.2026.8.1.1-23

Abstract

This study assesses the socio-economic effects of productive zakat initiatives on mustahik empowerment in Indonesia through a quasi-experimental methodology employing Propensity Score Matching (PSM). Data from 160 participants across various Zakat Management Organizations were gathered April 2025. The study utilized a multifaceted empowerment paradigm encompassing economic, social, human capital, and psychological components to address gaps in Islamic social finance literature. Results indicate significant empowerment enhancements, evidenced by a 63.1% increase in the composite empowerment index (effect size d=2.29). Economic empowerment showed substantial benefits (72.7% rise, d=2.37), followed by human capital development (82.7% increase, d=2.54). Psychological well-being indicators demonstrated notable improvements in self-confidence (26.9%), life satisfaction (39.7%), and stress management (100%). Correlation analysis revealed mentorship quality as the strongest predictor of comprehensive empowerment (r=0.478, p<0.001). The research confirms the efficacy of integrating financial assistance with capacity-building initiatives, reinforcing theoretical models emphasizing holistic Islamic development. High participant satisfaction rates (92.5% rating ≥8/10) indicate program acceptance and sustainability potential. These findings strengthen strategies for achieving Sustainable Development Goals and provide evidence for effective zakat allocation policies. This research advances Islamic social finance methodology by demonstrating PSM's relevance in evaluating faith-based development interventions, establishing a robust framework for future impact assessments in Muslim-majority contexts.
Co-Authors Abd Mubaraq, S.E.,Sy. M.A Achmad Achmad Adhi Yuniarto Ahmad Farhan, Ahmad Aidilof , Hafizh Al Kautsar Aidilof, Hafizh Al Kausar Ainal Mardhiah alaldaya, Rudyn Alfyansyah, Gusti Alhamidiy, Abdillah Nur Ali Masduqi Alkafi, Alkafi Amalia, Sisi Amiruddin Amiruddin anasril, anasril Anggi Desviana Siregar Desviana Siregar, Anggi Desviana Siregar Desviana Anggraini, Selia Apriyani, Firli Mai Ar Razi Ardelia, Aya Sofia Aris Munandar Arminingsih, Diah Asmirayani Asmirayani Asmirayani, Asmirayani Auliaurrahman, Auliaurrahman Azhar Azhar Azhari, Husain Azrai Putra Barumun Daulay Azzahra, Dea Bagas Wahyu Adhi, Bagas Wahyu Baharuddin Baharuddin Bancin, Udurta Bustami, Alek Wissalam Bustami, Yuserizal Custer, Jhonny Cut Farida Aryani Dea Azzahra Depi Sihotang Desiana Desiana, Desiana Dewiyani, Evi Dwi Kurniawan, Dwi Eka Putra Ekajaya, Candra Ella Suzanna Endah Sri Wahyuni Endang Susilawati Fadasrsyah, Fadasrsyah Fadlisyah Fadlisyah Fahrul Rozi Siregar Faishol Luthfi Fajriana, Fajriana Faridiansyah, T Iqbal Fasdarsyah Fasdarsyah Fatika, Dian Fauzan . Fiasari, Fiasari Gusti Alfyansyah Gusti Alfyansyah Hafidh Rafif, Teuku Muhammad Hafizh Al Kautsar Aidilof Hakim, Kurniawati Halimatussakdiah Halimatussakdiah Hanum, Nisrina Harahap, Elly Wanisyah Harahap, Ilham Taruna Harahap, Samsul Bahry Hariya Toni Harun, Muhazar Hasan Sazali Herlambang, Tri Mulyono Ikhlas, Nur ilham - sahputra INDRAYANI INDRAYANI Irma Mauliza Irwansyah, Defi Iskandar, Fahra Azzahra Ismail Ismail Ismail Ismail Joko Santoso Jufrizal Jufrizal Junita, Dini Jurisman Amin Karimullah Karimullah Katimin, Katimin Khairunnisak Khairunnisak, Khairunnisak Khardawi, Muhammad Kholil, Syukur Lahmuddin Lubis Laksamana, Rio Lenny Hasan, Henny Sjafitri, Nelharosma, Liana, Intan Lidya Rosnita lidyarosnita Luthfiah, Moulana M Fauzan Mahabbati, Suci Maharani, Silfa Mailin, Mailin Mardhatillah, Mardhatillah Maryono Maryono Maulidi Maulidi Mauliza, Irma Meldawati, Yesi Meliza Putri Miftahul Jannah Mubaraq, Abd Muhammad Fajri Muhammad Fauzan Muhammad Fikry Muhammad Hutomi MUHAMMAD KOSIM, MUHAMMAD Muhammad Muhammad Muhammad Muhammad Muhammad Yani, Muhammad Mukhlish Muhammad Nur Mukti Qamal Mukti Qamal Mulyani, Tasya Munirul Ula Murni, Mayang Mutammimul Ula Muthmainnah Muthmainnah Mu’arrif, Zul Ihsan Najah, Nyayu Siti Hidayatun Nastasya, Widia NELI SUSANTI, NELI Ngadimin Ngadimin Nilda, Elvi Nisa, Cut Chairun Nur Hasanah Nurdin Nurdin Nurhasanah Nurhasanah Nurhayani, Melda Vitry Nyak Arief, Teuku Okataria, Welan Pramadani, Kendra Putra Barumun Daulay, Azrai Putri, Dea Rizka Amanda Putri, Mia Yolanda Utami Putri, Rahmatillah Dwi Rahmah Hayati Rahmiati Rahmiati Ravico Ravico, Ravico Razi, Ar Rian Diana Ridhwan Ridhwan, Ridhwan Ridwan, Ridwan Rimin Rini Fitriani Rini Meiyanti Risa Marta Yati Risawandi, Risawandi Rizal Rizal Rizal S.Si., M.IT, Rizal Rizki Putri Ramadhani, Rizki Putri Rizki Suwanda Rizki, Agus Maula Rosyanne Kushargina Rozzi Kesuma Dinata RR. Ella Evrita Hestiandari Rusdi Rusdi Safri, Hayanuddin Safwandi Safwandi, Safwandi Sahputra, Ilham Said Fadlan Anshari Sakdah, Nurul Salhan, Susi Samosir, Dini Kairiyah Sari, Efti Novita Sayed Fachrurrazi Senda, Tito Afwi Setyarini Soemadi, Dian Shayravi Shayravi Shayravi, Shayravi Siregar, Fahrul Rozi Siti Nurhaliza Siti Sahara Suci Fitriani, Suci Suharyon, Suharyon Sujacka Retno Sumanti, Eva Supriaman, Supriaman Suryana Suryana Suryana Suryana Susyanti Susyanti, Susyanti Syafii, Muhammad Hisyam Syafruddin Nurdin syah, Fadli Syahbudi, Syahbudi Syahputra, M Oriza Syahrial, Dopa Syammaun, Tamalkhani Syamsarina, Syamsarina Syarif, Dafiar Syibral Malasyi syukrawati, syukrawati T.M. Rafsanjani Taufik, M. Iman Teuku Mudi Hafli Tiara, Tiara Tri Mulyono Tri Mulyono H, Khairunnisak Utama, Lalu Juntra Yacoub, Yarlina Yanti, Meyi Yesy Afrillia Yonaldi, Sepris Yulia Fitri Yunianto, Andi Eka Yunina Yunina Zara Yunizar Zubir, Zubir Zuleha, Zuleha Zulkarnen Mora, Zulkarnen Zulmi, Syafriade