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Pemberdayaan Kesehatan Remaja : Edukasi Bahaya Rokok Elektrik bagi Siswa SMA Negeri 2 Tegal Agus Susanto; Muladi Putra Mahardika; Heni Purwantiningrum
Jurnal Pengabdian UNDIKMA Vol. 4 No. 3 (2023): August
Publisher : LPPM Universitas Pendidikan Mandalika (UNDIKMA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33394/jpu.v4i3.8178

Abstract

The community service program aims to increase awareness and knowledge about the dangers of e-cigarettes and their impact on adolescent health. The implementation of this service was carried out using the interactive counseling method. The targets of this activity were 10th and 11th-grade students of SMA Negeri 2 Tegal. The evaluation instrument of this activity used pre-test and post-test and was analyzed descriptively. The results of this community service activity showed an increase in student knowledge by 4.68 after participating in counseling activities. The increase in participants' knowledge included knowledge about the safety of e-cigarettes and the chemical content of e-cigarettes. In addition, knowledge about the dangers of e-cigarettes for health, especially for the respiratory system, brain health, heart health, and lung health.
PEMANFAATAN TANAMAN REFUGIA TERHADAP INTENSITAS SERANGAN HAMA KUTU KEBUL (Bemisia tabaci) TANAMAN KEDELAI EDAMAME (Glycine max (L.) Merill) SEBAGAI SUMBER BELAJAR BIOLOGI BERUPA POSTER Rista, Paulina Eva; Susanto, Agus; Anak Agung Oka
EDUBIOLOCK Vol. 6 No. 3 (2025): Bulan September 2025
Publisher : Prodi Pendidikan Biologi FKIP Universitas Muhammadiyah Metro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24127/edubiolock.v6i3.10245

Abstract

The objectives of this study are: 1) To determine the benefits of refugia plants (Zinnia elegans Jacq. and Cosmos caudatus) on the intensity of whitefly (Bemisia tabaci) infestation in edamame soybean (Glycinemax (L.) Merrill) plants, 2) To examine the relationship between edamame soybean plant damage (Glycine max (L.) Merrill) and the harvest results, and 3) To evaluate the research results in the form of a poster that is suitable for use as a biology learning resource. This research uses both descriptive qualitative and quantitative methods. The study employs two treatments: edamame soybean fields planted with refugiaplants and edamame soybean fields without refugia plants. The data were analyzed using pest infestationintensity analysis and the Independent Sample T-Test. Based on the research results, the use of refugia plants had a beneficial effect on reducing the intensity ofwhitefly infestations in edamame soybean plants. The intensity analysis showed that refugia plants are effective in suppressing whitefly infestation. Based on T-test analysis, there was no significant difference in the harvest yield of edamame soybeans between fields with and without refugia plants. The validation analysis of the learning resource indicates that this study is suitable as a biology learning resource in the form of a poster.
Hypocenter relocation to identify hidden faults and their environmental implications in the karst region of Maros-Pangkep, South Sulawesi Wulur, Kevin Hanyu Clinton; Junaedi, Subaer; Susanto, Agus; Purba, Joshua; Priadi, Ramadhan
Journal of Degraded and Mining Lands Management Vol. 12 No. 5 (2025)
Publisher : Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15243/jdmlm.2025.125.8663

Abstract

The Maros-Pangkep region in South Sulawesi is a tropical karst landscape not officially mapped as an active fault zone, yet it has exhibited increasing micro-seismic activity in recent years. This study investigates the potential existence of hidden faults through hypocenter relocation using the double-difference method. A total of 191 earthquake events with magnitudes of 1-2.6 were successfully relocated using BMKG catalog data and the IASP91 global velocity model. The resulting hypocenters form a northwest–southeast-trending cluster, with fault plane geometry of 333°–346° strike, 8°–9° dip, and ~11 km length. These events cluster along boundaries of the Tonasa, Camba, and intrusive rocks, where competence contrast and karstification localize deformation. To complement the spatial analysis, magnitude–frequency characteristics were evaluated using the Gutenberg–Richter relationship. The estimated b-value of 1.34 indicates a low-stress regime dominated by small-magnitude seismicity, consistent with distributed deformation in brittle, heterogeneous lithologies. Although micro-seismic in scale, the spatial and statistical patterns suggest the presence of a structurally weak and potentially seismogenic zone that is not reflected in current tectonic maps. These findings underscore the importance of including the Maros–Pangkep region of South Sulawesi in seismic hazard assessments and land management efforts. The integration of relocation techniques and seismicity statistics proves effective for detecting latent fault structures in complex karst settings. In addition to seismic risks, such activity may accelerate land degradation through sinkholes, aquifer disruption, and ground instability, highlighting the value of geophysical assessments in managing vulnerable karst environments.
Enhancing Malware Detection in IoT Networks using Ensemble Learning on IoT-23 Dataset Anggriani, Kurnia; Az Zahra, Syakira; Susanto, Agus
Jurnal Teknik Informatika (Jutif) Vol. 6 No. 4 (2025): JUTIF Volume 6, Number 4, Agustus 2025
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2025.6.4.4782

Abstract

The Internet of Things (IoT) has become a technological innovation that brings many benefits in various sectors, but also presents challenges, especially in terms of cybersecurity. One of the main threats is malware, which can damage devices, steal data, and disrupt system performance. With the increasing use of IoT, malware attacks on IoT devices are a serious concern. Previous research shows that malware detection models in IoT devices still have shortcomings, especially in terms of accuracy. One of the algorithms used in malware detection, Naïve Bayes, has been shown to provide low accuracy results. This study aims to improve the accuracy of malware detection on IoT networks by applying Ensemble learning techniques using traffic data from the IoT-23 dataset. The methodology used refers to the CRISP-DM (Cross Industry Standard Process for Data Mining) framework, which includes the stages of domain understanding, data understanding, data preparation, modelling, evaluation, and deployment. The results show that Ensemble learning improved the performance of individual models. Naïve Bayes as a single model produces an accuracy of 0.24, increasing to 0.35 when combined with AdaBoost, and 0.99 when combined with XGBoost. The combination of the three models also produced an accuracy of 0.99. These results demonstrate the effectiveness of ensemble learning in improving malware detection accuracy in IoT environments.
THE EFFECT OF METHANOL EXTRACT OF Cerbera odollam LEAVES ON LOCOMOTION AND EXPLORATION ACTIVITIES OF Spodoptera frugiperda LARVAE Subakti Putri, Syifa Nabilah; Susanto, Agus; Bari, Ichsan Nurul
AGROTEK: Jurnal Ilmiah Ilmu Pertanian Vol 9, No 2 (2025): September
Publisher : Percetakan Umi Toaha Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33096/agrotek.v9i2.958

Abstract

The fall armyworm (FAW), Spodoptera frugiperda, is one of the major pests of maize, exhibiting high adaptability and causing significant losses to agriculture in Indonesia. An environmentally friendly approach to controlling FAW infestations involves using local toxic plants, such as Cerbera odollam, also known as Bintaro, which contains cardenolide glycosides, saponins, and alkaloids with potential as botanical insecticides. This study aimed to evaluate the effect of the methanol extract of C. odollam leaves on the locomotion and exploration activities of FAW larvae. The test was conducted using the leaf dip method at concentrations of 0, 1000, 2000, and 4000 ppm, with six replications. The samples were then analyzed and observed using the Organism Video Tracking Application ToxTrac v2.96. Results showed that higher extract concentrations led to a decrease in larval speed, from 17.48 mm/s to 1.83 mm/s, and a reduction in exploration area, from 48 to 9. In addition, larval immobility duration (freeze activity) increased nearly sevenfold compared to the control. These findings indicate that C. odollam shows promise as a natural insecticide that repels FAW larvae by limiting their movement and exploratory behavior.
Penerapan Mesin Pengering Sistem Rotary untuk Membantu Diversifikasi Produk Kunyit di Desa Bedingin Susanto, Agus; Arrosida, Hanum; Shahab, Dahris; Wahyudi, Noorsakti; Pambudi, Rilo; Alfianto, Dwi; Ismiyati, Ismiyati; Busori, Akhmat
E-Dimas: Jurnal Pengabdian kepada Masyarakat Vol 16, No 3 (2025): E-DIMAS
Publisher : Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/e-dimas.v16i3.20756

Abstract

Bedingin merupakan salah-satu desa di Kabupaten Ponorogo yang dapat menghasilkan kunyit mencapai 5 Ton/hektar. Para petani di desa ini digerakkan oleh Kelompok Tani Hutan (KTH) “Argo Dingin Lestari”. Hasil panen tersebut dijual langsung kepada pengepul untuk menghindari pembusukan yang berakibat pada kerugian. Akan tetapi harga yang diberikan oleh pengepul umumnya cukup rendah. Sebenarnya para petani telah melakukan peningkatan produk kunyit melalui pengeringan kunyit. Pengolahan ini dapat meningkatkan nilai tambah karena dapat dijual kepada industri jamu, obat, makanan, minuman, dan bahan kosmetik. Namun, diversifikasi kunyit basah tersebut membutuhkan mesin untuk mengurangi kadar air dalam kunyit menjadi sekitar 10%. Metode tradisional dengan cara menjemur langsung dibawah matahari memiliki banyak kekurangan, diantaranya; dapat merusak kualitas obat karena suhu yang pancarkan tidak sesuai untuk kharakteristik tanaman obat, dapat terkontaminasi bakteri karena metode pengeringan terbuka. Hal ini akan berakibat ditolaknya produk tersebut oleh industri. Oleh karena itu, diperlukan teknologi yang dapat digunakan untuk mengeringkan kunyit dengan cepat dan tepat sehingga dapat mempertahankan kualitas produk yang dihasilkan. Pada program ini, pengusul mendesain mesin, memanufaktur, dan, mendesiminasikan mesin pengering kunyit otomatis yang dilengkapi sistem sangrai otomatis, dan implementasi kontrol temperatur cerdas dengan tujuan untuk menghasilkan produk kunyit kering sehingga dapat didistribusikan ke industri maupun apotek.
Transformasi UMKM Rupat Utara: Strategi Terpadu Pelatihan Pengembangan Kemasan Produk dan Optimalisasi Pemasaran Digital Susanti, Hevi; Angela, Sesdia; Pane, Rico Purnawandi; Susanto, Agus; Wicaksono, Baskoro; Hayati, Isnaria Rizki
Abdimas Indonesian Journal Vol. 5 No. 2 (2025)
Publisher : Civiliza Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59525/aij.v5i2.977

Abstract

This community service program aims to increase the capacity of MSMEs in North Rupat through a comprehensive approach that includes digital skills training and strengthening business management. There are three main problems faced by business actors: first, the low mastery of digital technology; second, less attractive product packaging; and third, marketing strategies that are not yet effective. To overcome this, this program is designed with four main focuses, namely digital marketing, packaging development, creative content creation, integrated business management, and business communication skills development. The implementation uses a hybrid method that combines face-to-face meetings with online mentoring. This program began with a needs survey and focus group discussions (FGD) to prepare training materials that are right on target. The results include improving the quality of digital marketing content, improving product packaging design, and expanding marketing networks which have an impact on increasing business turnover. In the long term, this program is expected to create MSMEs that are independent, highly competitive in the digital era, and able to reach a wider market, including cross-regional markets. In addition to solving technical problems, the program is also committed to building a sustainable business ecosystem through a holistic empowerment approach. This service activity is also inseparable from the role of students in the assistance that is carried out, this activity is expected to make MSMEs understand how to technically use applications in smartphones to produce content, understand how to make attractive packaging designs based on local wisdom and can take advantage of various new media and social media to implement digital marketing. For this reason, cooperation in various teams is needed in the implementation of midwifery.
Evaluasi Morfometrik dan Bobot Badan Sapi Bali di Loka Pengujian Standar Instrumen Ruminansia Besar Nasihin, Ahmad; Susanto, Agus; Haryoko, Imbang
Jurnal Peternakan Vol 22, No 2 (2025): September 2025
Publisher : State Islamic University of Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/jupet.v22i2.36223

Abstract

ABSTRAK. Penelitian ini bertujuan untuk mengevaluasi kesesuaian karakteristik morfometrik dan bobot badan sapi Bali di Loka Pengujian Standar Instrumen Ruminansia Besar berdasarkan persyaratan minimum kuantitatif yang ditetapkan. Sebanyak 30 ekor sapi Bali, terdiri dari 15 jantan dan 15 betina berumur 1-3 tahun, digunakan sebagai sampel. Variabel yang diukur meliputi tinggi pundak, panjang badan, lingkar dada, dan bobot badan, yang kemudian distandardisasi ke umur 2 tahun menggunakan faktor koreksi umur. Analisis data dilakukan secara deskriptif dan diuji dengan one sample t-test satu arah terhadap SNI 7651-4:2020 dan Keputusan Menteri Pertanian No. 325/Kpts/OT.140/1/2010. Pengujian kesesuaian terhadap SNI dilakukan secara bertahap untuk kelas III, II, dan I. Hasil penelitian menunjukkan bahwa rata-rata tinggi pundak, panjang badan, lingkar dada, dan bobot badan sapi Bali jantan berturut-turut adalah 114,85±9,58 cm; 119,67±13,7 cm; 158,98±15,89 cm; dan 263,83±37,65 kg. Sementara pada sapi betina, nilai rata-ratanya adalah 116,27±7,21 cm; 128,61±14,61 cm; 158±11,24 cm; dan 228,23±29,02 kg. Tinggi pundak dan lingkar dada sapi jantan belum memenuhi standar minimum SNI, sedangkan panjang badan telah melampaui standar SNI Kelas III. Di sisi lain, sapi betina secara signifikan (P<0,01) telah melampaui standar minimum SNI Kelas I untuk tinggi pundak, panjang badan, dan lingkar dada. Bobot badan kedua jenis kelamin juga telah melampaui persyaratan SNI dan Keputusan Menteri Pertanian (P<0,01). Secara keseluruhan, sapi betina menunjukkan performa yang lebih baik sehingga dapat dijadikan bibit unggul.Kata kunci: Sapi Bali, ukuran linier tubuh, bobot badan, pengujian SNI Evaluation of Morphometric Measurements and Body Weight of Bali Cattle at The Large Ruminant Instrument Standard Testing CenterABSTRACT. This research was conducted to evaluate the suitability of morphometric characteristics and body weight of Bali cattle at the Large Ruminant Instrument Standard Testing Center based on the minimum quantitative requirements for Bali cattle. A total of 30 Bali cattle, consisting of 15 males and 15 females aged 1-3 years, were used as samples. The variables measured included wither height, body length, chest girth, and body weight, which were then standardized to 2 years of age using age correction factors. Data analysis was performed descriptively and tested using a one-tailed one-sample t-test against SNI 7651-4:2020 and the Minister of Agriculture Decree No. 325/Kpts/OT.140/1/2010. Compliance testing with SNI was conducted in stages for Class III, II, and I. The results showed that the average wither height, body length, chest girth, and body weight of male Bali cattle were 114.85±9.58 cm, 119.67±13.7 cm, 158.98±15.89 cm, and 263.83±37.65 kg, respectively. Meanwhile, for female Bali cattle, the average values were 116.27±7.21 cm, 128.61±14.61 cm, 158±11.24 cm, and 228,23±29,02 kg. The wither height and chest girth of male cattle did not meet the minimum SNI standards, while body length exceeded the Class III SNI standard. On the other hand, female cattle significantly (P<0.01) exceeded the minimum SNI Class I standards for wither height, body length, and chest girth. The body weight of both sexes also exceeded the requirements set by SNI and the Minister of Agriculture (P<0.01). Overall, the female cattle showed better performance and therefore can be considered as superior breeding stock.
Automated Video Recognition of Traditional Indonesian Dance Using Hyperparameter-Tuned Convolutional Neural Network Purwaningrum, Santi; Susanto, Agus; Susanti, Hera; Alkhafaji, Mohammed Ayad
Jurnal Teknik Informatika (Jutif) Vol. 6 No. 5 (2025): JUTIF Volume 6, Number 5, Oktober 2025
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2025.6.5.5157

Abstract

Traditional Indonesian dances serve as a vital expression of cultural identity and regional heritage, yet their preservation through intelligent video recognition remains limited due to technical challenges in motion complexity, costume variation, and the lack of annotated datasets. Prior research commonly employed Convolutional Neural Networks (CNNs) with manually defined hyperparameters, which often resulted in overfitting and poor adaptability when applied to dynamic and real-world video inputs. To overcome these limitations, this study proposes a robust and adaptive classification framework utilizing a hyperparameter-tuned CNN model. The approach automatically optimizes key training parameters such as learning rate, batch size, optimizer type, and epoch count through iterative experimentation, thereby maximizing the model’s ability to generalize across both static and temporal data domains. The model was trained using image datasets representing three traditional dances (Gambyong, Remo, and Topeng), and subsequently tested on segmented frames extracted from YouTube videos. Results indicate strong model performance, achieving 99.67% accuracy on the training set and 100% accuracy, precision, recall, and F1-score across all testing videos. The proposed method successfully bridges the gap between still-image learning and real-world motion recognition, making it suitable for practical applications in digital archiving and cultural documentation. This study’s contribution lies not only in the model’s technical effectiveness but also in its support for preserving intangible cultural assets through intelligent and automated video-based recognition. Future work may incorporate temporal modelling or multi-camera perspectives to further enrich motion understanding and extend the system to broader performance domains.
Analisis Iklan, Teman Sebaya, dan Orang Tua pada Perilaku Merokok Elektrik Remaja di Surakarta Susanto, Agus; Mulyanto, Dody; Kussetyaningrum, Ratih Oktania; Putri, Nadia Rahma
Jurnal Promotif Preventif Vol 7 No 6 (2024): Desember 2024: JURNAL PROMOTIF PREVENTIF
Publisher : Fakultas Kesehatan Masyarakat Universitas Pancasakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47650/jpp.v7i6.1585

Abstract

Peningkatan penggunaan rokok elektrik di kalangan remaja menimbulkan kekhawatiran terhadap dampaknya pada kesehatan. Paparan iklan rokok, pengaruh teman sebaya, dan peran orang tua diyakini memengaruhi perilaku merokok remaja. Penelitian ini bertujuan untuk menganilis dampak faktor-faktor tersebut terhadap penggunaan rokok elektrik. Survei dilakukan pada 330 remaja (usia 14-18 tahun) di Surakarta antara Oktober-November 2024, menggunakan teknik stratified random sampling. Hasil penelitian menunjukkan bahwa paparan iklan rokok meningkatkan kemungkinan penggunaan rokok elektrik (OR = 3,326, p = 0,000) dan pengaruh teman sebaya juga berkontribusi signifikan (OR = 2,683, p = 0,000). Sebaliknya, keterlibatan orang tua memiliki efek perlindungan yang signifikan (OR = 0,210, p = 0,000). Penelitian ini menyimpulkan bahwa iklan dan teman sebaya adalah faktor utama yang memengaruhi perilaku merokok remaja, sementara keterlibatan orang tua dapat mengurangi risiko tersebut.
Co-Authors Abda'u, Prih Diantono Abdillah, Muhammad Adib Achmad Junaedi Sitika Adi Harianto Adi Prasetiyo, Adi Aditama, Bangun Afiansyah, Laksmana Ilyas Afifah Bambang Sutjiatmo, Afifah Bambang Afifah, Putri Nur Agung Puja Kesuma Agus Sutamaya, Agus Agustinah Setyaningrum, Agustinah Ahmad Aniq Barlian Ahmad Nasihin, Ahmad Ahmad Sunardi Ahmad Sunardi Ahmad Sunardi, Ahmad Ahmaluddin, Ahmaluddin Ajat Rukajat Akhmad Aniq Barlian Akil Akil, Akil Alandes, Pirdaus Albert Albert Aldi Budi Riyanta Alfianto, Dwi Alfiyani, Risma Alkhafaji, Mohammed Ayad Amdani, Rima Zuriah Amirudin Amirudin Amri, Aldicky Faizal Anak Agung Oka Andila, Shifa Andrean, Bagas Anggraeni, Nadia Isabela Anggraeni, Rayi Putri Anggy Rima Putri Anik Andriani Annisa Kusumaningrum Anto Budi Listyawan Arrosida, Hanum asep nurhikmat Astini , Rahmi Audina, Pin Kharisma Ayu Rahayu Ayuni, Vini Az Zahra, Syakira Aziz, Farhan Abdul Azri, Huriati Badriah, Dewi Laelatul Balafif, Felisha Febriane Bari, Ichsan Nurul Baskoro Wicaksono, Baskoro Bilqis, Rifka Fauzia Brajamusti, Fendi Busori, Akhmat Dalfi, Keizzy Damaranti, Maria Ervina Damayanti, Darwati Rossa Dattadewi Purwantini Daud, Nur Anisa Deawati, Miwha Dede Hadidjah, Dede Desi Fitriani Devanda, Noval Dewi Puspita Candrasari Dhou, Yutaka Nur Diatri Nari Ratih Diaz Fahrezi, Fathan Dicky Bayu Setiyono Dina Retnoningsih Drajat Tri Kartono Dwiyanti, Eka Dyah Nindita Carolina Dzikril Majid, Akshal Edianto, Ahmad Efendy, Fardhan Ruslan Eko Mindarsih Endah Yulia Endang Puji Astuti Engkesa, Penina Apricia Erni Setiyorini, Erni Euis Reni Yuslianti, Euis Eva Novita Sari Fadilah, Muhammad Arief Fakhrul Hirzi, M. Fatmawati, Fatmawati Febian, Rosa Febriani, Ridha Ferianto Ferianto Ferianto Ferianto Fikhria, Ratu Fitri Widiantini Furqaan Harjanto Gery Fifalia Finalis Guswin, Instreet Helnindys Hadiprasetyo, Dhanar Septyawan Hajimasamae, Muhammatkasibudi Hamjah Arahman Hanniza Dwi Cahyani Hanny Handiyani Harahap, Nur’ain Hartono Hasaniyah, Sitti Hazqon Fuadi Nasution Hendry Heni Purwantiningrum Heni Purwantiningrum Heni Purwantiningrum Hera Susanti, Hera Hersanti - Heru Nurcahyo Hevi Susanti Hidayah, Chomsiatun Nurul Hidayat, Salman Hidayati, Umi Nur Hidayatullah, Mohammad Alief Himadila, Sukmarani Husbuyanti, Irma El-Mira Husni, Thariq Zahir Ibrahim Rahmat Imas Aisyah Imbang Haryoko Ina Hendiani, Ina Indra Budiman Indra Mustika SP, Indra Intan, Vitara Riza Ismiyati, Ismiyati Janti Rusjanti, Janti Januar, Dedy Jasruddin Daud Malago Joko Santoso Kasianingrum, Afinda Kategan, Achmad Keliat, Chrisnasari Yanti Ketaren, Rayhan Khaeruddin Khaeruddin Kosasih, Hengky Krissanti, Petra Sulistya Dian Kristy Natalia Suwito Kuandi Chandra Kurnia Anggriani, Kurnia Kussetyaningrum, Ratih Oktania Latifa, Saldila Lintang Putri Leider, Putri Artha Licia, Rizka Lisda Amalia Listawan, Anto Budi Luisa, Nina M. Rafi Maharani, Nur Endah Dewi Mamlukah, Mamlukah Mandini, Denda Devi Sarah Mangkuanom, Arwin Saleh Marpaung, Ade Putra Masruroh Masruroh Maulana, Gilang Akbar Meisiana, Rista Meliyana Perwita Sari Meliyana Perwita Sari Meliyana Perwita Sari Muarif, Samsul Muchid Mudmainah, Putri Hana Widyaning Muhamad Janadin Ass Saff, Muhamad Muhammad Arsyad Mukarramah, Dian Muladi Putra Mahardika Mulya, Dody Mulyanto, Dody Nadhif, Reyhan Ivan Nainggolan, Enjelia Priskila Nasib Nikous Soter Sihombing Noor Istifadah Noor, Muhammad Faizal Noorsakti Wahyudi Notatema Zebua, Ben Hansel Nugroho, Feri Nur Septiani Nurjihan, Khansa Nurrohman, Faqih Nurul Huda Oktavia Oktavia Oktaviani, Novia Cindi Oviyanti Mulyani Pabontongan, Santonius Sandi Pambudi Yuwono Pambudi, Rahma Ayu Pambudi, Rilo Pane, Rico Purnawandi Pariabti Palloan Parku, Ayu Kaputri Persada, Razak Pide, Andi Mustari Praharasti, Anggita Sari Pramesty, Gustriyani Rolannita Prasetyanti, Dwi Novia Pratiwi , Diocta Ichi Puteri Priadi, Ramadhan Pujiarti, Neni Purba, Joshua Purwaningrum, Santi Purwantingrum, Heni Purwantini, Datta Dewi Purwantiningrum, Heni Purwanto, Diyan Sakti Putra, Dhimas Adha Aji Putra, Rizki Maisar Putra, Sandi Justitia Putranto, Agung Tri Putri Gami, Emelia Rahmadany Putri, Nadia Rahma Qunik Wiqoyah Raden Giazh Zuniar Maretha Raden Mohamad Herdian Bhakti Raharjo, Prayoga Kurnia Rahmadhani, Alvin Rahmandari, Ismi Arifiana Ramdani, Jufri Ratih Sakti Prastiwi, Ratih Sakti Renaningsih, R Restu Razaq, Mhd. Ridho, Fikra Arsyad Rija Sudirja Riko Herdiansah Rista, Paulina Eva Rivai, Ahmad Rizkie, Lilian Rosaria Ika Pratiwi Rozzak, Ilham Abdul Rudi Sugiono Suyono, Rudi Sugiono Ruli Haris Rusyada, Gozin Najah Sabila, Vaza Farihatun Sabri Sahara, Puti Sahat Simbolon Saputri, Yunitya Eka Saragih, Amudi Pandapotan Sari Lubis, Anggi Sari, A Anditha Sari, Kartika Indah Sari, Meliyana Perwita Sasongko, Haidar Fatah Honggo Savitri, Ulva Sembiring, Rinawati Sesdia Angela Setiawan Prabowo , Annas Setiawan Prabowo, Annas Setiyanto, Riyan Setiyanto, Riyan Setiyanto, Ryan Setya Agus Santosa Shahab, Dahris Siregar, Hot Berlian SIska Rasiska, SIska Siswoprayogi, Siswoprayogi Slamet Widodo Sri Aprianti Tarigan Sri Hartati Subaer - Subakti Putri, Syifa Nabilah Subakti-Putri, Syifa Nabilah Sugiyatno, S Suhadi, Miki Sukmawati, Rani Sumartono, Yolanda Vivina Mithaya Supriyono, Abdul Rohman Surna Lastri Susiyarti Sutrisno, Agus Tarkus Suganda Tri Mayanti Tri Wahono Ubaidillah, Feri Ulfah, Maya Ulfatul Latifah, Ulfatul Wahyu Daradjat Natawigena, Wahyu Daradjat WAHYU WIDOWATI Wasillah, Asiah Wawan Sutari Wibowo, Pandhu Wicaksono, Ramadhana Eka Wida Yuliar Rezika, Wida Yuliar Widodo, Hermawan Setyo Wijaya, Elyzabeth Wilyam Dwi Apri Windia, Alna Amelia Nur Wulur, Kevin Hanyu Clinton Yadi Fahmi Arifudin Yandra Rivaldo Yani Maharani, Yani Yasri, Kevin Assidiqi Yudhatama, Ilham ZA, Saida Zainurossalamia Zufri, Armen Zulfa Harirah MS Zulhadi, Zulhadi