Article Per Year (5 Year)
p-Index From 2021 - 2026
14.223
P-Index
This Author published in this journals
All Journal Techno.Com: Jurnal Teknologi Informasi JURNAL PENGABDIAN KEPADA MASYARAKAT Sistemasi: Jurnal Sistem Informasi Sinkron : Jurnal dan Penelitian Teknik Informatika MODELING: Jurnal Program Studi PGMI IT JOURNAL RESEARCH AND DEVELOPMENT PROCESSOR Jurnal Ilmiah Sistem Informasi, Teknologi Informasi dan Sistem Komputer Jurnal Teknik Informatika UNIKA Santo Thomas INTECOMS: Journal of Information Technology and Computer Science Zero : Jurnal Sains, Matematika, dan Terapan ALGORITMA : JURNAL ILMU KOMPUTER DAN INFORMATIKA JISTech (Journal of Islamic Science and Technology) AXIOM : Jurnal Pendidikan dan Matematika Jurnal Teknologi Sistem Informasi dan Aplikasi J-SAKTI (Jurnal Sains Komputer dan Informatika) IJISTECH (International Journal Of Information System & Technology) KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) The IJICS (International Journal of Informatics and Computer Science) JURIKOM (Jurnal Riset Komputer) JOURNAL OF SCIENCE AND SOCIAL RESEARCH Kurawal - Jurnal Teknologi, Informasi dan Industri Jurnal Riset Informatika AL-ULUM: JURNAL SAINS DAN TEKNOLOGI Jurnal Ilmiah Binary STMIK Bina Nusantara Jaya Jurnal Review Pendidikan dan Pengajaran (JRPP) Progresif: Jurnal Ilmiah Komputer Jurnal Informatika dan Rekayasa Elektronik JSR : Jaringan Sistem Informasi Robotik Jatilima : Jurnal Multimedia Dan Teknologi Informasi Jurnal Teknik Informatika C.I.T. Medicom G-Tech : Jurnal Teknologi Terapan Science Midwifery JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) JIKA (Jurnal Informatika) INFOKUM Community Development Journal: Jurnal Pengabdian Masyarakat TIN: TERAPAN INFORMATIKA NUSANTARA U-NET Jurnal Teknik Informatika Journal of Computer Science, Information Technology and Telecommunication Engineering (JCoSITTE) MEANS (Media Informasi Analisa dan Sistem) Journal of Computer Networks, Architecture and High Performance Computing JiTEKH (Jurnal Ilmiah Teknologi Harapan) IJISTECH Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer) Jurnal Pendidikan dan Teknologi Indonesia Journal La Multiapp Jurnal Teknologi Sistem Informasi dan Sistem Komputer TGD Bulletin of Computer Science Research KLIK: Kajian Ilmiah Informatika dan Komputer Instal : Jurnal Komputer J-SAKTI (Jurnal Sains Komputer dan Informatika) Jurnal Info Sains : Informatika dan Sains Jurnal Mandiri IT Jurnal Teknik Informatika Unika Santo Thomas (JTIUST) Jurnal Armada Informatika Journal of Information Systems and Technology Research Jurnal Sains dan Teknologi JOMLAI: Journal of Machine Learning and Artificial Intelligence Jurnal Ilmiah Sistem Informasi dan Ilmu Komputer Jurnal Pemberdayaan Sosial dan Teknologi Masyarakat Innovative: Journal Of Social Science Research Jurnal Komputer Antartika Scientica: Jurnal Ilmiah Sains dan Teknologi Jurnal Pengabdian Masyarakat Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen) Jurnal Ilmiah Nusantara Modem : Jurnal Informatika dan Sains Teknologi Polygon: Jurnal Ilmu Komputer dan Ilmu Pengetahuan Alam Neptunus: Jurnal Ilmu Komputer dan Teknologi Informasi Teknologi : Jurnal Ilmiah Sistem Informasi
Abdul Halim Hasugian
Unknown Affiliation
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities 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 Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Neuroscience Nursing Physics Public Health Social Sciences Veterinary Other

Published : 138 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 138 Documents
Search

 10   11   12   13   14 
ANALISA DAN PERANCANGAN SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN PASANGAN HIDUP MENURUT BUDAYA KARO DENGAN MENGGUNAKAN METODE ANALITYCAL HIERARCHY PROCESS (AHP) Hasugian, Abdul Halim; Cipta, Hendra
Algoritma: Jurnal Ilmu Komputer dan Informatika Vol 2, No 1 (2018): April 2018
Publisher : Universitas Islam Negeri Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (481.258 KB) | DOI: 10.30829/algoritma.v2i1.1612

Abstract

Kajian ini bertujuan untuk membuat analisa dan perancangan sistem pendukung keputusan pemilihan hidup menurut budaya karo dengan menggunakan metode analytical hierarchy process (AHP). Objek utama sistem pendukung keputusan ini adalah memberikan saran memberikan saran kepada pengguna aplikasi terhadap pasangan hidupnya sesuai dengan kriteria yang ditentukan. Hasil yang diberikan bukan paksaan dan hanya berupa saran semata. Sehingga pengguna dapat melihat hasil calon pasangan yang berdasarkan bantuan sistem pendukung keputusan ini. Hasil yang dicapai adalah terciptanya suatu aplikasi sistem pendukung keputusan yang dapat digunakan untuk memilih pasangan hidup menurut budaya karo daan sesuai dengan kriteria yang dibutuhkan. Sistem ini membantu mendukung proses pengambilan keputusan untuk pemilihan pasangan. Kata kunci : Sistem, keputusan, pemilihan pasangan, Analytical Hierarchy Process (AHP)
Application Of Apriori Algorithm in Coffee Supply Planning in Coffee Shops (Case Study: Setuju Coffee) Yazid Hulaini Habbani Nasution; Abdul Halim Hasugian
Progresif: Jurnal Ilmiah Komputer Vol 21, No 1 (2025): Februari
Publisher : STMIK Banjarbaru

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35889/progresif.v21i1.2611

Abstract

This study applies the Apriori algorithm in coffee supply planning at Agree Kopi. The problem addressed is the accumulation of coffee raw materials, leading to financial losses due to spoilage. To overcome this, data mining techniques using the Apriori algorithm are employed to identify sales patterns and product relationships. The research involves collecting daily transaction data from October 2023 to October 2024 through observation and interviews. Data analysis is conducted using Python on Google Colaboratory. The results reveal 69 association rules, with confidence levels ranging from 80% to 100%. These findings help optimize stock management, reduce excess inventory, and improve customer service. This study provides practical insights for better inventory planning and supports data-driven business decision-making.Kata kunci: Apriori algorithm; Data Mining; Inventory Planning; Sales Patterns; Stock Management  Abstrak Penelitian ini menerapkan algoritma Apriori dalam perencanaan stok kopi di Agree Kopi. Permasalahan yang dihadapi adalah penumpukan bahan baku kopi yang menyebabkan kerugian finansial akibat kerusakan selama penyimpanan. Untuk mengatasinya, digunakan teknik data mining dengan algoritma Apriori guna mengidentifikasi pola penjualan dan hubungan antar produk. Penelitian ini mengumpulkan data transaksi harian dari Oktober 2023 hingga Oktober 2024 melalui observasi dan wawancara. Analisis data dilakukan menggunakan Python pada Google Colaboratory. Hasil penelitian menunjukkan 69 aturan asosiasi dengan tingkat kepercayaan antara 80% hingga 100%. Temuan ini membantu mengoptimalkan manajemen stok, mengurangi kelebihan persediaan, dan meningkatkan layanan pelanggan. Studi ini memberikan wawasan praktis dalam perencanaan stok yang lebih baik serta mendukung pengambilan keputusan bisnis berbasis data.Kata kunci: Algoritma Apriori; Data Mining; Perencanaan Stok; Pola Penjualan; Manajemen Persediaan
Penerapan Metode ANP-SAW Untuk Rekomendasi Penerima Reward Bulanan Customer Pada Jasa Laundry Mhd Rafly Syah Pahlevi; Abdul Halim Hasugian
Progresif: Jurnal Ilmiah Komputer Vol 21, No 1 (2025): Februari
Publisher : STMIK Banjarbaru

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35889/progresif.v21i1.2612

Abstract

This study discusses the application of the ANP-SAW method in the recommendation of monthly customer awards recipients in laundry services. Analytical Network Process (ANP) is used to determine the weight criteria based on the relationship between factors, with the following weight results: frequency of visits (0.633), total expenditure (0.293), and customer satisfaction (0.074). Furthermore, the Simple Additive Weighting (SAW) method is applied to rank customers based on the preference value obtained from data normalization and the calculation of the final score by summing the results of the multiplication between the normalization value and the weight of each criterion. The first five customers in the dataset were analyzed using the SAW method, where the data included the number of visits, total expenditure, and level of satisfaction. The results showed that customers with the highest SAW scores were customers who had higher frequency of visits and total expenditure, although customer satisfaction also contributed to the ranking. The implementation of this method is expected to help laundry managers in increasing customer loyalty and providing more targeted appreciation. With this system, business owners can efficiently assess and select the best customers based on predetermined criteria, thereby encouraging an increase in service quality and overall customer satisfaction.Keywords: ANP-SAW; Reward; Customer; Laundry AbstrakPenelitian ini membahas penerapan metode ANP-SAW dalam rekomendasi penerima penghargaan bulanan pelanggan pada layanan laundry. Analytical Network Process (ANP) digunakan untuk menentukan bobot kriteria berdasarkan hubungan antar faktor, dengan hasil bobot sebagai berikut: frekuensi kunjungan (0.633), total pengeluaran (0.293), dan kepuasan pelanggan (0.074). Selanjutnya, metode Simple Additive Weighting (SAW) diterapkan untuk melakukan perangkingan pelanggan berdasarkan nilai preferensi yang diperoleh dari normalisasi data dan perhitungan skor akhir dengan menjumlahkan hasil perkalian antara nilai normalisasi dan bobot masing-masing kriteria. Lima pelanggan pertama dalam dataset dianalisis menggunakan metode SAW, di mana data mereka mencakup jumlah kunjungan, total pengeluaran, dan tingkat kepuasan. Hasil penelitian menunjukkan bahwa pelanggan dengan skor SAW tertinggi merupakan pelanggan yang memiliki frekuensi kunjungan dan total pengeluaran yang lebih tinggi, meskipun kepuasan pelanggan juga memberikan kontribusi dalam penentuan peringkat. Implementasi metode ini diharapkan dapat membantu pengelola laundry dalam meningkatkan loyalitas pelanggan serta memberikan apresiasi yang lebih tepat sasaran. Dengan adanya sistem ini, pemilik usaha dapat secara efisien menilai dan memilih pelanggan terbaik berdasarkan kriteria yang telah ditentukan, sehingga mendorong peningkatan kualitas layanan dan kepuasan pelanggan secara keseluruhan.Kata Kunci: ANP-SAW; Reward; Customer’ Laundry
Analysis Of Public Sentiment Towards Naturalized Players In The Indonesian National Team Using The Naïve Bayes Method T. Raihan Yudisthira; Abdul Halim Hasugian
Jurnal Riset Informatika Vol. 7 No. 4 (2025): September 2025
Publisher : Kresnamedia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34288/jri.v7i4.398

Abstract

The increasing number of naturalized Indonesian national team players in the Garuda squad has triggered various reactions and opinions among the public, both pro and con. This study aims to identify and classify these sentiments, whether positive, negative, or neutral. The method used in this study is to use Naive Bayes because of its excellent ability to classify text based on the probability of word occurrence. In order to obtain more accurate results, several preprocessing stages need to be carried out through several steps, namely cleaning, case folding, normalization, stopword removal, tokenizing, and stemming on the data to be processed for maximum results from each stage. The results of the study showed that the majority of public sentiment tends to be more neutral towards the contribution of naturalized Indonesian national team players. To determine the percentage of results from the specified classification, a Confusion Matrix will be used. The results of the classification process using the Naive Bayes method produce data into 3 types, namely 33 positive classes, 357 neutral classes, and 13 negative classes with an accuracy value of 89%, precision 63%, recall 34%, and f1-score 33%. This sentiment analysis provides an overview of public comments regarding the presence of naturalized Indonesian national team players regarding public acceptance of the naturalization policy and can be input for PSSI in making decisions regarding the development of the national team in the future in order to improve the quality of the national team in the future
Sistem Deteksi Dan Monitoring Jendela Rumah Berbasis Sensor Magnetik Dengan Logika Fuzzy Mamdani Ariansyah, Rino; Halim Hasugian, Abdul
JURNAL RISET KOMPUTER (JURIKOM) Vol. 13 No. 2 (2026): April 2026
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/jurikom.v13i2.9563

Abstract

Home security is often disrupted by false alarms because conventional systems rely solely on binary logic that does not consider the context of time and the magnitude of window opening. This study designs and implements an Internet of Things (IoT)-based window detection and monitoring system that integrates an MC 38 magnetic sensor and a HY SRF05 ultrasonic sensor, with inference processing using Mamdani Fuzzy Logic on a NodeMCU ESP8266 microcontroller. The system is equipped with a DS3231 RTC module and an NTP synchronization mechanism to maintain timeliness, and provides adaptive responses through LED indicators, buzzer sound patterns, Telegram notifications, and a Flutter-based mobile application. The research objective is to produce contextual alarm decisions (Safe, Alert, Danger) to reduce false alarms without sacrificing response speed. The main contribution is the implementation of a time-aware multi-sensor approach and edge processing so that the system is able to assess the level of urgency based on the physical status of the window, the distance of damage, and the time of the incident. Testing was carried out in tightly closed scenarios, small edits during the day, wide edits at night, and disturbances due to wind or vibration. Test results showed a resolution accuracy of 93.85%, an average ultrasonic measurement error of 0.63% (a difference of <0.5 cm at the test distance), and an average notification latency to the app and Telegram of around 5 seconds. These findings demonstrate that the integration of redundant sensors with fuzzy inference improves intrusion detection evidence in smart home windows
Data Mining of Rural Digital Technology Adoption Factors Using Apriori Algorithm Wanda Windary; Abdul Halim Hasugian
Journal of Information Systems and Technology Research Vol. 4 No. 3 (2025): September 2025
Publisher : Ali Institute or Research and Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55537/jistr.v4i3.1324

Abstract

Digital technology adoption in rural communities remains a major challenge due to limited infrastructure, weak internet connectivity, and low levels of digital literacy, which contribute to persistent gaps in digital inclusion. This study aims to analyze the socio-economic factors that influence technology adoption in Kuta Baru Village by applying data mining techniques with the Apriori algorithm within the Knowledge Discovery in Database (KDD) framework. A survey was conducted on 50 respondents selected using purposive sampling, and variables such as education, income, occupation, and internet access were encoded into binary items for analysis. The Apriori algorithm was executed with a minimum support threshold of 15% and a minimum confidence threshold of 60% to extract association rules. Results show that the strongest rule was “Low Internet Access ⇒ Weak Signal” with 100% confidence and 30% support, highlighting infrastructure as the most critical barrier. Another key finding revealed that respondents with education levels above high school had an 85% confidence of using the internet, while those with monthly incomes greater than IDR 3 million demonstrated a 78% confidence of adopting digital technologies. Furthermore, formal sector occupations were associated with consistent internet usage at 72% confidence. These findings suggest that improving infrastructure must be complemented by strengthening socio-economic conditions, particularly education and income, to accelerate rural digital transformation. The study provides empirical evidence and practical implications that can inform policymakers in designing targeted programs to bridge the rural digital divide.
Web-Based Decision Support System for Superior Corn Seed Selection Using FMADM and AHP Algorithms Donny Dwi Putra; Abdul Halim Hasugian
Journal of Information Systems and Technology Research Vol. 4 No. 3 (2025): September 2025
Publisher : Ali Institute or Research and Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55537/jistr.v4i3.1331

Abstract

Indonesia as an agricultural country still faces challenges in meeting national corn demand due to dependency on imports. One critical issue is the inaccurate selection of superior seeds that suit local conditions. This study aims to develop a web-based decision support system (DSS) for superior corn seed selection using the Fuzzy Multi-Attribute Decision Making (FMADM) algorithm combined with the Analytical Hierarchy Process (AHP) method.The research was conducted in Sei Tembo Village, Langkat Regency, with data obtained through observation, interviews with farmers, and literature review. The AHP method was applied to determine the weights of five criteria: water content, pest resistance, productivity, fruit size, and harvest time. Consistency testing produced a CR value of 0.028, indicating reliable weighting. The FMADM method was then used to rank 142 seed alternatives based on these weights.The results showed that the proposed system successfully ranked Srikandi Putih 1 (A32) as the best alternative with a score of 0.950, while Bima5 Bantimurung (A130) had the lowest score of 0.632. Productivity was identified as the dominant factor (weight = 0.484) in determining superior seeds.These findings demonstrate that the web-based DSS can improve accuracy and objectivity in seed selection, helping farmers reduce trial-and-error decisions. Practically, this system supports agricultural productivity improvement and contributes to strengthening national food security by reducing reliance on corn imports.
Klasifikasi Teks Komentar Penggunaan Listrik Gratis di Youtube Menggunakan Metode Naïve Bayes Harahap, Mikho Alfatih; Hasugian, Abdul Halim
TIN: Terapan Informatika Nusantara Vol 6 No 12 (2026): May 2026
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/tin.v6i12.9731

Abstract

The growth of social media has made YouTube one of the platforms used by the public to express opinions regarding government policies, including the free electricity program. The large number of comments makes manual analysis difficult; therefore, a text classification method is needed to automatically categorize comments. This study aims to classify YouTube user comments related to the free electricity program using the Naïve Bayes algorithm. The research data were obtained through a crawling process from ten YouTube videos discussing the free electricity policy, resulting in 910 comments, which were reduced to 906 comments after data cleaning. The data processing stages included cleaning, case folding, tokenizing, normalization, stopword removal, stemming, and term weighting using TF-IDF. Furthermore, the data were classified into four categories: Public Discussion and Information, Policy Support and Appreciation, Complaints and Technical Issues, and Non-Electricity. Model evaluation was conducted using a confusion matrix with accuracy, precision, recall, and F1-score metrics. The results showed that the Naïve Bayes algorithm provided fairly good classification performance with an accuracy of 70.9%, precision of 0.62, recall of 0.80, and F1-score of 0.70. The Non-Electricity category achieved the best performance with precision of 0.77, recall of 0.90, and F1-score of 0.83. Based on these findings, the Naïve Bayes method is considered effective for classifying public opinion from social media comment data.
Co-Authors Abdillah, Ibnu Faiz Adam Damiri Manurung Adi Hartono Aditya Maulana Azanzi Girsang Afandi Sahputra Afiksih, Mufliha Afriani, Dina Aidil Halim Lubis Aidil Halim Lubis Ajeng Dwi Pratiwi Alfarizi, Muhammad Alhabib, Muhammad Farhan Ali Darta Ali Ikhwan Alwy Azyari Harahap Amalia Daulay, Rizki Amelia Anggraini, Arizka Anggraini, Sindi Annisa Shafira Zuhri Apriani, Puja Ariansyah, Rino Arif, Mhd. Fakhrozi Armansyah Armansyah Armansyah Aruan, Nur Jamilah Asrul Suwondo AULIA, RIZKA Auliani, Wirna Rizka Azhar, Joehari Azhari, Wahyu Bandaharo, Bandaharo Bermiko Kasah Padang Bunga Nurul Manisa Dalimunthe, Ayu Sahriani Dea Amallia Deni Fahrizal Dewi Afrianti Dharma, Fahri Dinda Zukhoiriyah Donny Dwi Putra Eferoni Ndururu Elsa Azila Rahman Fakhriza, M. Farah Zaida Gema Ramadhan Gilang Armawan Saka Ginting, Masitha Putri Ardhana Girsang, Aditya Maulana Azanzi Gunawan, Gunawan Gunawan, Helmi Hanny Puput Eliyarista Saragih Harahap, Mikho Alfatih Harahap, Muhammad Fitrah Affandi Harahap, Nasywa Al Afif Hasibuan, Ardina Khoirunnisa Hendra Cipta Heni Pujiastuti Heri Santoso Heri Santoso Heri Santoso HERI SUSANTO Hidayah, Adinda Fita Hidayati, Risma Hsb, Munawir Siddik Ibnu Rusydi Ikhsan, Muhammad Ilham Ilham Ilka Zufria Imam Zaki Husein Nst Irawan, Muhammad Arief Irene Sri Morina Januar, Bagus K Khairunnisa Khaidir Hanafi Khairuna Khairuna Khairunnisa, K Kusuma, Sintiawati Lubis, Akbar Maulana Lubis, Desy Ramadhani Lubis, Indah Alfitri M Mahyudi M. Fakhriza M. Khalil Gibran M. RIZKY RAMADHAN M.Alif Fahrezy Mahara, Elvida Futri Maimunah Rahmadani Marpaung, Rizq Alwi Marwah, Khoirul Wijak Alfaizh Maulida, Dzikra Maya Khairani Mhd Furqan Mhd Ikhsan Rifki Mhd Rafly Syah Pahlevi Miftahul Jannah Muhammad Ezar Raditya Muhammad Ikhsan Muhammad Ikhsan Muhammad Ridzki Hasibuan Muhammad Sayuthi Muhammad Siddik Hasibuan Muhammad Suhery Mulya Alfan Simatupang Murdani Nadyah Almirah Simanjuntak Nasution, Yurika Nst, Fakhrurrozi Nurmaiyah Nurmaiyah Ong, Russell Pazri Prasetio, Muhammad Aditya Prayoga, M. Irsan Pristiwanto, Pristiwanto Putri Hanifah Putri, Cindy Ananda Putri, Pebriani Rahadian Fatta Batubara Rahmad Prayogi Harahap Rahmawati Rahmawati Raissa Amanda Putri Rajani, Attila Rakhmat Kurniawan R Ramadhani, Muthia Ramadhani, Silvia Rano, Rano Irawan Reza Muhammad Rijal, Mhd. Nanda Khairul Rina Anggraini, Rina Rina Widyasari Rizki Amalia Rizky Pratama Putra Rizky Ramadhan Rizqi Hidayat Tanjung RR. Ella Evrita Hestiandari Ryo Vikri Alif S, Amri Yuda Sabuki, Robi Saefuddin, Anan Saka, Gilang Armawan Sela, Dhea Shania Oktawijaya Sheila Safira Siahaan, Ahmad Taufik Al Afkari Simanjuntak, Salmah Simatupang, Aidil Akbar Siregar, Muhammad Faisal Siregar, Nora Arianti Siti Hayatul Fauziah Ritonga Siti Juhroini Ritonga Siti Nurhaliza Sofyan Siti Sumita Harahap Sitorus, Ridha Saryani Situmorang, Rantouli Solifiah Batubara, Febi Sri Wulan, Sri Sriani Sriani Sriani Sriani, S Suandi Padang Suendri Suendri, Suendri Suhardi Suhardi Suhardi, Suhardi Sulindawaty T. Raihan Yudisthira TONNI LIMBONG Tria Elisa Ulfah, Auliana Wahyudi, Zul Attoriq Farhan Wanda Windary Wina Fadia Ardianti Yani, Sri Suci Yazid Hulaini Habbani Nasution Yusuf Karim Rambe Yusuf Ramadhan Nasution Yusuf Ramadhan Nasution Yusuf Ramadhan Nasution Yusuf Ramadhan Nasution, Yusuf Ramadhan Zaidan, Muhammad Zidanul Akbar Ziqra Addilah