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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Psikologika : Jurnal Pemikiran dan Penelitian Psikologi dCartesian: Jurnal Matematika dan Aplikasi Reaktor JURNAL SISTEM INFORMASI BISNIS Prosiding KOMMIT Jurnal Sains dan Teknologi Jurnal Buana Informatika TELKOMNIKA (Telecommunication Computing Electronics and Control) Indonesian Journal of Mathematics and Natural Sciences Jurnal Ilmiah Kursor Jurnal Produksi Tanaman Noetic Psychology Jurnal Teknologi Informasi dan Ilmu Komputer Jurnal Transformatika JUITA : Jurnal Informatika Scientific Journal of Informatics Psikodimensia: Kajian Ilmiah Psikologi Khazanah Informatika: Jurnal Ilmu Komputer dan Informatika Jurnal Sains Matematika dan Statistika Proceeding of the Electrical Engineering Computer Science and Informatics MNJ (Malang Neurology Journal) Al-Jabar : Jurnal Pendidikan Matematika Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Jurnal Mercumatika : Jurnal Penelitian Matematika dan Pendidikan Matematika Inquiry: Jurnal Ilmiah Psikologi Resona : Jurnal Ilmiah Pengabdian Masyarakat BAREKENG: Jurnal Ilmu Matematika dan Terapan IJEBD (International Journal Of Entrepreneurship And Business Development) JOURNAL SPORT AREA Philanthropy: Journal of Psychology MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer Jurnal Nasional Pendidikan Teknik Informatika (JANAPATI) Evangelikal: Jurnal Teologi Injili dan Pembinaan Warga Jemaat Aptisi Transactions on Technopreneurship (ATT) Insight: Jurnal Ilmiah Psikologi Jurnal Abdi Insani Jurnal Pembelajaran Pemberdayaan Masyarakat (JP2M) Computer Science and Information Technologies Jurnal Sains dan Edukasi Sains SPEKTA (Jurnal Pengabdian Kepada Masyarakat : Teknologi dan Aplikasi) Indonesian Journal of Applied Research (IJAR) Journal of Science and Science Education JAMBURA JOURNAL OF PROBABILITY AND STATISTICS Information System Journal (INFOS) Lingue : Jurnal Bahasa, Budaya, dan Sastra Jurnal Teknologi Pendidikan : Jurnal Penelitian dan Pengembangan Pembelajaran International Journal of Engineering, Science and Information Technology Jurnal Hurriah: Jurnal Evaluasi Pendidikan dan Penelitian Dinamis Tri Dharma Mandiri: Diseminasi dan Hilirisasi Riset Kepada Masyarakat (Jurnal Pengabdian Kepada Masyarakat) Eksergi: Jurnal Teknik Energi Prosiding Konferensi Nasional Penelitian Matematika dan Pembelajarannya INJURITY: Journal of Interdisciplinary Studies ENDLESS : International Journal of Future Studies d'Cartesian: Jurnal Matematika dan Aplikasi Tesseract: International Journal of Geometry and Applied Mathematics Journal of Mechanical Engineering and Fabrication JuTISI (Jurnal Teknik Informatika dan Sistem Informasi) Study of Scientific and Behavioral Management (SSBM)
Adi Setiawan
Universitas Kristen Satya Wacana
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Empowering Renewable Energy Awareness through Promoting Sustainable Cooking Solution with Biomass Stove Demonstration towards Energy Self-sufficiency at a Rural Islamic Boarding School in North Aceh Alchalil, Alchalil; Setiawan, Adi; Syahputra, Azhar; Safitri, Dinda
JURNAL HURRIAH: Jurnal Evaluasi Pendidikan dan Penelitian Vol. 6 No. 2 (2025): Jurnal Hurriah: Journal of Educational Evaluation and Research
Publisher : Yayasan Pendidikan dan Kemanusiaan Hurriah Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56806/jh.v6i2.302

Abstract

The growing need for sustainable and affordable energy in rural Islamic boarding schools presents both a challenge and an opportunity for innovation. This community service project showed the use of woodchip-fueled biomass stoves as an alternative cooking fuel at Al-‘Urwatul Wutsqa Islamic Boarding School in Aceh Utara. It took place in Cot Seurani Village, Muara Batu Subdistrict. The scarcity and rising cost of LPG as the main cooking fuel were the main issues, limiting cooking options in the boarding school and remote communities. Onsite training and a practical demonstration of a rocket-type biomass stove using available woodchips comprised the activity. The team conducted a simple efficiency test and distributed an illustrated operational manual to support knowledge transfer. Results showed high student interest and positive response because of the stove’s affordability, environmental benefits, and ease of use. This initiative raised awareness of renewable energy options, empowered the local community with practical solutions, and encouraged reduced reliance on fossil fuels (LPG). The program also laid the foundation for future development of energy self-sufficiency in the boarding school atmosphere.
Social Media: A Bibliometric Analysis Maharani, Siska; Lutpiani, Anisa; Setiawan, Adi
International Journal of Engineering, Science and Information Technology Vol 5, No 2 (2025)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v5i2.880

Abstract

This research discusses the development and role of social media in modern life, especially Within digital marketing and consumer behavior. Social media, defined as internet-based platforms that enable user creation and exchange of content, has experienced a rise from 2003 to 2013, with significant influence on communication, social interaction, and business strategy. The method used in this study is bibliometric analysis with VOSviewer software, which maps data from scholarly articles published in leading journals such as Elsevier, Emerald, Springer, Willey, Sagepub, and Taylor. Data was collected using Publish or Perish software with specific keywords related to social media, digital marketing, and consumer behavior. From the bibliometric analysis, 1,550 articles with 4,961 keywords were found and analyzed using co-occurrence and co-authorship methods, resulting in 111 specific keywords divided into 11 clusters. The study revealed the importance of social media in building customer-business relationships, the influence of the power of social ties on consumer behavior, and the role of social media in developing effective marketing strategies. The research also identifies author collaborations in social media-related studies and shows how research trends and patterns evolve. The findings provide deep insights into the use of social media in modern marketing strategies. They can form the basis for further research development in management, business, and digital marketing. The findings of this study offer valuable contributions to the academic and professional understanding of social media. They serve as a foundational reference for future research aiming to explore the strategic applications of social media in business, the psychology of online consumer engagement, and the technological advancements that continue to reshape digital communications. The study also provides insights into the evolution of research patterns, visualizing how scholarly focus has shifted from early platforms like MySpace and Flickr to contemporary and emerging platforms such as YouTube, TikTok, and Instagram. Using overlay visualization and keyword density maps, the research identifies recent trends and research gaps, highlighting areas that require further academic exploration. For instance, the dominance of "YouTube" in recent literature indicates a growing interest in multimedia marketing, influencer culture, and community-driven content. At the same time, some topics, such as mobile-integrated social platforms, remain underexplored.
Deep Learning-Based Visualization of Network Threat Patterns Using GAN-Generated Infographic Wibowo, Mars Caroline; Setyawan, Iwan; Setiawan, Adi; Sembiring, Irwan
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 9 No 4 (2025): August 2025 (in progress)
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29207/resti.v9i4.6717

Abstract

Despite the growing sophistication of cyberattacks, current network traffic analysis tools often lack intuitive visual support, limiting human analysts’ ability to interpret complex threat behaviors. To address this gap, this study proposes a novel deep learning-based visualization framework using a Deep Convolutional Generative Adversarial Network (DCGAN) to synthesize threat-specific infographics from structured numerical features in the CICIDS 2017 dataset. Unlike conventional methods, such as PCA or static dashboards, which often result in abstract or non-adaptive visuals, our approach generates class-distinct grayscale images that preserve the behavioral patterns of various attacks, including denial-of-service, brute force, and port scanning. The preprocessing pipeline reshapes the selected flow-based features into 28×28 matrices to train the generative model. Evaluation using the Frechet Inception Distance (FID) yielded a score of 28.4, whereas a CNN classifier trained on the generated images achieved 91.2% accuracy, confirming visual fidelity and semantic integrity. Additionally, a panel of human experts rated the interpretability of the generated images at 4.3 out of 5.0. These findings demonstrate that generative visualization can enhance human-centered threat analysis by bridging raw data with interpretable imagery, thereby offering a scalable and explainable approach for integrating AI into real-time security workflows.
Performance test of a parabolic reflector solar cooker in the Lhokseumawe Region Faisal, Faisal; Setiawan, Adi; Sayuthi, Muhammad; Suryadi, Suryadi; Syukri, Syukri
Journal of Mechanical Engineering and Fabrication Vol. 2 No. 2 (2025): September
Publisher : Journal of Mechafa Engineering and Fabrication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64273/jmef.v2i2.27

Abstract

The utilization of solar energy as a renewable energy source is becoming increasingly important to reduce dependence on fossil fuels. One of its applications is the parabolic reflector solar cooker, which harnesses solar radiation for cooking purposes. This study aims to evaluate the performance of a solar cooker equipped with a parabolic reflector through a water heating test. The study presents an analysis of the performance of a solar cooker using a parabolic reflector collector. The solar reflector was constructed from mirror fragments arranged to form a parabolic shape with a surface area of 1.05 m². The experiment was conducted in the Lhokseumawe region, Aceh Province, Indonesia, located at coordinates 5°12’11.01’’ N and 97° E, with an altitude of 18.3 m above sea level. Performance measurements were carried out using a water heating method with a vessel containing 3.2 kg of water placed at the focal point of the reflector. The solar radiation received by the collector was reflected toward the focal point, heating the water directly. The results showed that the water temperature increased to 82.4 °C within 60 minutes, from 12:00 to 13:00 local time (WIB). The overall efficiency of the solar cooker was found to be 33.9%. These findings indicate that the parabolic reflector solar cooker has strong potential as an environmentally friendly alternative energy source suitable for application in tropical regions
Dukungan Sosial, Ketangguhan Pribadi, dan Stres Akulturasi Mahasiswa Nusa Tenggara Timur di Salatiga Keo, Jitro Jemryes; Kristinawati, Wahyuni; Setiawan, Adi
Psikologika: Jurnal Pemikiran dan Penelitian Psikologi Vol. 25 No. 1 (2020)
Publisher : Universitas Islam Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20885/psikologika.vol25.iss1.art2

Abstract

Penelitian yang berfokus pada pengaruh dukungan sosial dan ketangguhan pribadi (hardiness) terhadap stres akulturasi masih perlu dikaji lebih lanjut. Hipotesis penelitian ini adalah adanya pengaruh simultan dan parsial antara dukungan sosial dan ketangguhan pribadi terhadap stres akulturasi pada mahasiswa perantau asal Nusa Tenggara Timur (NTT) di Salatiga. Alat ukur yang digunakan dalam penelitian ini adalah skala Stres Akulturasi, skala Ketangguhan Pribadi, dan skala Dukungan Sosial. Hasil pengumpulan data penelitian ini dianalisis menggunakan analisis regresi linier. Penelitian ini melibatkan 85 orang mahasiswa asal NTT. Hasil uji statistik menunjukkan bahwa secara simultan, ketangguhan pribadi dan dukungan sosial berpengaruh terhadap stres akulturasi dengan nilai F = 5.32 dan tingkat signifikansi 0,007 (p < .05); tampak secara parsial, ketangguhan pribadi tidak berpengaruh terhadap stres yang ditunjukkan dari nilai t = -1.74 dan p > .05. Di sisi lain, dukungan sosial memberikan pengaruh yang signifikan terhadap stres akulturasi yang ditunjukkan dari nilai t = -2.33 dan p < .05. Selanjutnya, berdasarkan analisis koefisien determinasi (R = .115), variabel ketangguhan pribadi dan dukungan sosial berpengaruh sebesar 11.50% terhadap stres akulturasi dengan sumbangan efektif variabel ketangguhan pribadi sebesar 4.39%, dukungan sosial sebesar 7.12%, dan sisanya sebesar 89.50% dipengaruhi oleh variabel lainnya yang tidak diteliti dalam penelitian ini. Hasil ini menunjukan bahwa dukungan sosial memiliki peran yang penting dalam menurukan stres akulturasi.Kata Kunci: dukungan sosial, ketangguhan pribadi, stres akulturasiSocial Support, Hardiness, and Acculturation Stress among East Nusa Tenggara’s Students in SalatigaAbstract. This research related to the influence between social support and hardiness on acculturative stress is still need to be examined further. The hypothesis of this study indicated that there was a simultaneous and partial influence between social support and hardiness on acculturative stress among overseas students from East Nusa Tenggara (NTT) in Salatiga. The data is collected by using Acculturation Stress scale, Hardiness scale, and Social Support scale as well as analyzed by linear regression analysis. This study involved 85 students from NTT. Statistical test results indicate that simultaneous hardiness and social support affect the acculturative stress with a value of F = 5.32 with a significance level of .007 (p < .05); and it appears that partially hardiness has no effect on stress as indicated by the value of t = -1.74 and p > .05. On the other hand, social support has a significant influence on acculturation stress as indicated by the value of t = -2.33 and p < .05. Furthermore, based on the analysis of the coefficient of determination (R = .115), hardiness and social support variables influence 11.50% on acculturative stress with an effective contribution of hardiness variables at 4.39%, social support at 7.12%, and the remaining 89.50% were influenced by other variables which were not examined in this study. The results indicate that social support contributed greater on acculturative stress compared to hardiness.Keywords: hardiness, social support, stress acculturationArticle History:Received 6 November 2019Revised 24 February 2020Accepted 30 May 2020
Implementasi proses sertifikasi halal self declare dalam mendukung pertumbuhan UMKM Ariska, Nenda; Setiawan, Romi Adetio; Setiawan, Adi; Zaki, Khozin
Jurnal Pembelajaran Pemberdayaan Masyarakat (JP2M) Vol. 4 No. 4 (2023)
Publisher : Universitas Islam Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33474/jp2m.v4i4.21335

Abstract

Dalam konteks pertumbuhan ekonomi negara, Usaha Mikro, Kecil, dan Menengah (UMKM) memegang peran sentral. Undang-Undang Nomor 33 Tahun 2014 tentang Jaminan Produk Halal (UU JPH) telah mengubah status sertifikasi halal dari yang semula sukarela menjadi wajib. Penerapan Undang-Undang ini menekankan pentingnya peran Pendamping Proses Produk Halal (P3H) untuk membantu pelaku usaha dalam mengurus sertifikasi halal. Tujuan utama dari pendampingan ini adalah meningkatkan jumlah UMKM yang memperoleh sertifikasi halal, memperkuat kepercayaan konsumen, memberikan jaminan dalam proses produksi bagi para produsen, meningkatkan daya saing produk, merangsang pertumbuhan omset penjualan, membuka peluang pemasaran global, serta mematuhi ketentuan pemerintah terkait regulasi halal. Pelaksanaan program pendampingan ini terdiri dari tiga tahap, yaitu: pra pengabdian, pelaksanaan pendampingan, dan evaluasi pasca pendampingan. Kegiatan pendampingan melibatkan beberapa aspek, seperti memberikan pemahaman akan pentingnya sertifikasi halal bagi UMKM, membantu dalam pengurusan legalitas usaha melalui Nomor Induk Berusaha (NIB), dan memfasilitasi program sertifikasi halal gratis (SEHATI). Selanjutnya, pemberian NIB, sertifikat halal, serta logo halal menjadi bagian dari upaya pendampingan ini. Kegiatan ini difokuskan pada pelaku UMKM yang berlokasi di kecamatan tertentu di Kota Bengkulu. Pendampingan dilaksanakan dalam rentang waktu antara 1 Juli hingga 1 November 2023, yang melibatkan 11 pelaku usaha. Melalui kurasi dan sosialisasi self declare, sebanyak 10 UMKM memenuhi persyaratan yang ditetapkan. Hingga akhir Oktober, telah terbit 10 sertifikat halal yang dikeluarkan oleh Majelis Ulama Indonesia (MUI) berdasarkan hasil pendampingan.
Accuracy of long short-term memory model in predicting YoY inflation of cities in Indonesia Leipary, Harfely; Setiawan, Adi
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 14, No 5: October 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijai.v14.i5.pp3887-3896

Abstract

Our  research  evaluates  the  effectiveness  of  the long  short-term  memory (LSTM) model in forecasting annual year-on-year (YoY) inflation across 82 cities in Indonesia based on time series data from BPS economic reports for 2014-2024. This study tests the accuracy of the model in reconstructing past inflation patterns, then evaluates the capabilities and limitations of the model in  various  urban  area  contexts  with  the root  mean  square  error (RMSE), mean  absolute  percentage  error (MAPE),  and coefficient  of  determination(R2)  metrics.  The  findings  show  that  LSTM  performs  well  in  metropolitan areas  such  as  Jakarta,  Bandung,  and  Surabaya  with R2values  >0.8  and  the lowest  MAPE  of  10.91%  in  Jakarta.  However,  in  small  cities  with  higher economic  volatility  such  as  Tanjung  Pandan,  the  model  shows  significant prediction   errors   (R²<0.50   and   MAPE   up   to   283.11%).   Moderate performance  (0.50≤ R²≤0.80)  was  found  in  cities  such  as  Palembang, Semarang, and Makassar, reflecting the model's adaptive ability to moderate inflation  patterns.  These  results  emphasize  the  important  role  of  structured economic data in improving the reliability of predictions, so that the policy implications  of  this  study  include  the  use  of  the  LSTM  model  as  an  early warning system by fiscal and monetary authorities, as well as the need for a data-based  inflation  control  strategy  to  strengthen  regional  and  national economic    resilience    in    supporting    sustainable    development    towards Indonesia Emas 2045.
Analisis Program Pemberdayaan Ibnu Sabil di Badan Amil Zakat Nasional Setiawan, Adi; Putra, Trisno Wardy
Study of Scientific and Behavioral Management Vol 4 No 2 (2023): Literasi Keuangan 2023
Publisher : Universitas Islam Negeri Alauddin Makassar, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24252/ssbm.v4i2.16513

Abstract

ABSTRAK Fokus penelitian ini membahas tentang program pemberdayaan yang dilakukan Badan Amil Zakat Nasional kepada salah satu mustahik zakat yakni Ibnu Sabil. Metode penelitian yang digunakan adalah metode kualitatif, yaitu metode yang akan menghasilkan data deskriptif, berupa kata-kata tertulis atau lisan. Sedangkan teknik pengumpulan data yang digunakan adalah teknik interview (wawancara), dan dokumentasi.  Dari hasil penelitian Badan Amil Zakat Nasional mempunyai program khusus yang terkait dengan ibnu sabil yaitu Program Konter Layanan Mustahik (KLM). Hanya saja, dalam program KLM bantuan yang disalurkan kepada ibnu sabil berbentuk hibah (program karitas). Sehingga yang tersentuh oleh program ini terbatas kepada kategori ibnu sabil yang mengadakan perjalanan bukan di negerinya, dan belum menyentuh musafir yang mengadakan perjalanan di negerinya sendiri seperti anak jalanan, tunawisma, dan anak-anak miskin yang terkena narkoba.   Kata Kunci: Baznas, Ibnu Sabil, Pemberdayaan  
Comparison of Convolutional Neural Network (CNN) Models in Face Classification of Papuan and Other Ethnicities Yenusi, Yuni Naomi; Suryasatriya Trihandaru; Setiawan, Adi
JST (Jurnal Sains dan Teknologi) Vol. 12 No. 1 (2023): April
Publisher : Universitas Pendidikan Ganesha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23887/jstundiksha.v12i1.46861

Abstract

Klasifikasi objek pada citra menjadi salah satu problem dalam visi komputer. Komputer diharapkan dapat meniru kemampuan manusia dalam memahami informasi citra. Salah satu pendekatan yang berhasil yaitu dengan menggunakan Jaringan Syaraf Tiruan (JST) dimana pendekatan ini terinspirasi dari jaringan syaraf pada manuasia yang dikembangkan lebih jauh menjadi Deep Learning. Convolutional Neural Network (CNN) merupakan salah satu jenis Deep Learning yang sangat terkenal dengan keemampuannya dalam melakukan klasifikasi citra. Dengan mengimplementasikan beberapa model CNN akan dilakukan perbandingan antara model arsitektur CNN dalam klasifikasi wajah etnis Papua dan wajah etnis lainnya untuk melihat model dengan akurasi terbaik pada kasus ini. Model CNN yang dipilih yaitu VGG16, VGG-19, ResNet-50 dan MobileNet v1 dan Mobilenet v2. Model terbaik adalah model arsitektur Mobile Net v1 untuk Pengenalan Wajah Papua dan Non Papua dengan akurasi 95%. Pada penelitian ini disimpulkan bahwa MobileNet V1 adalah model yang terbaik. Model ini menghasilkan akurasi, precision, recall, dan f1-score dengan nilai 95%, 99%, 91%, dan 94%. Adapun saran untuk penelitian selanjutnya adalah dilakukan modifikasi terhadap layer pada masing-masing molde untuk meninggkatkan performa model arsitektur CNN.
Design of Alternative Energy Using Thermoelectricity by Utilizing a Dispenser Heat Tank Using IOT Pratama, Legenda Prameswono; Wilyanti, Sinka; Setiawan, Adi; Hamzah, Hamzah; Manfaluthy, Mauludi; Arief, Yanuar Zulardiansyah; Al-Humairi, Safaa Najah Saud
Eksergi Vol. 20 No. 02 (2024): MAY 2024
Publisher : Politeknik Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32497/eksergi.v20i02.5805

Abstract

Energy is an object that can move through essentialreactions; increasing population growth is one of the factors forincreasing energy needs. One of the initiatives initiated was thecreation of a Thermal Electric Generator (TEG). The formulationof the problem in this study is to determine the output voltage,current, and power generated by the thermoelectric as analternative energy and to determine the effect of temperature onthe thermoelectric. The goal is to determine the amount of outputthe thermoelectric generates when it gets a heat source from thedispenser. The data source in this study was obtained from testingthe tools made. The test results show the effect of temperature onthe thermoelectric tested for 120th minutes test of max 5.96 Voltswith a water temperature in the dispenser tank of 73C withoutusing a step up using six pieces of thermoelectric arranged inseries.
Co-Authors Absa, Munzir Adella Septiana Mugirahayu Agik Nur Efendi Agus Suryanto Aini Nurul Al-Humairi, Safaa Najah Saud Albet Maydiantoro Alchalil Alchalil Aldian Umbu Tamu Ama Aldian Umbu Tamu Ama Alfida Tegar Nurani Alicia Anggelia Lumbantoruan ALOYSIUS JOAKIM FERNANDEZ Ariani, Dwi Setya Ariska, Nenda Atina Rahmatalia Bambang Susanto Barlian Henryranu Prasetio Baskoro Arie Nugroho Bayu Wijayanto Beni Utomo Christiana Hari Soetjiningsih Christina Maya Indah Susilowati Cut Aja Rahmawati D. B. Nugroho, D. B. Dabet, Abubakar Daivi Wardani, Daivi Delsylia Tresnawaty Ufi Denny Indrajaya Denny Indrajaya Deswita, Yenny Dewi Anisa Istiqomah Dewi Lukitasari Dhevyantoa, Benny Didit Budi Nugroho Djoko Hartanto Dodi Wirawan Irawanto E. D. Saputri, E. D. Edita Rosana Widasari, Edita Rosana Effendy, Ahmad Hidayat Eko Sediyono Eko Widaryanto Elsa Septyana Endang Sulistyaningsih Faisal Faisal Faldy Tita Fika Widya Pratama Fiyas Mahananing Puri Haay, Happy Alyzhya Hamzah Hamzah Hanifa Maulani Ramadhan Hanna Arini Parhusip Hari Slamet Trianto Hari Slamet Trianto Hariyanto Hariyanto Hartiningsih, Tri Henderi . Henry Junus Wattimanela Ignatius Agus Supriyono Ilham Hizbuloh Irwan Sembiring Iwan Setiawan Iwan Setyawan Johanes Dian Kurniawan Joko Siswanto JT Lobby Loekmono Keo, Jitro Jemryes Krisdiana Krisdiana, Krisdiana Kurniawan, Johanes Dian Kurniawan, Titus Antonius David Legenda Prameswono Pratama Leipary, Harfely Leonardo Refialy Leonardo Refialy, Leonardo Leopoldus Ricky Sasongko Lilik Linawati Lindin Anderson Lukman Hakim Lutpiani, Anisa Lydia Soepriyani Fallo M. Iqbal Maharani, Siska Manfaluthy, Mauludi masipupu, Frangky Aristiadi Maufiquddin, Fiqih Ma’arif, Syahrul Meydelina, Gloria Mitha Febby R. Donggori Mitha Febby R. Donggori Modjo, Marchella Ellena Mohammad Ridwan Mufti, Rijalul Muhammad Sayuthi Nabiela, Noorsy Zidna Nadeak, Nathalia Ully Nafisah Riskya Hasna Natalia Christy Waney Ninda Lutfiani Nisa, Syarifah Rahimatun Novelia, Riana Novelyn, Ruth Nugraha, Anggit Ferdita Nukuhaly, Nur Apriani Nur Edy Suminarti Olivia Rumahpasal Pariama, Aprillia Mauren Pradani, Wynona Adita Priatna , Wowon Purbaratri, Winny Purwoko, Agus Putra, Trisno Wardy Qurotul Aini Rachayu, Laras Andriani Rachel Wulan Nirmalasari Wijaya Rahma Anugraheny Raunica, Elsha Afry Rayhan, Fathan Andhika Riana Dewi Risma Margaretha Sinaga Rizkina, Shafira Rizqon Hasibuan Romauli Basaria Rosa, Angela Griya Adinda Rozanna Dewi Rudhito, Andy Safitri, Dinda Saitama, Akbar Salomina Patty SARI, EMMA NOVITA Setiawan, Romi Adetio Setivani, Febi sitawati Soeharto Soeharto Sri Suwartiningsih Sulistio Sulistio Surya Tri Atmaja Ramadhani Suryadi Suryadi Suryasatriya Trihandaru Sutarto Wijono Syahputra, Azhar Syam, Azhari Muhammad Syukri Syukri Tamaela, Jemaictry Theo Sarita, Fetriks Theopillus J. H. Wellem Tri Wahyuningsih Tundjung Mahatma Untung Rahardja Untung Rahardja Vikky Aprelia Windarni Vikky Aprelia Windarni Vincentia Pawestri Wa Mirna Wahyuni Kristinawati Wattimanela, Henry Junus Wibowo, Mars Caroline Wilyanti, Sinka Windarni, Vikky Aprelia Wisnu Anendya Sekti Yanuar Zulardiansyah Arief Yenusi, Yuni naomi Yulius Yusak Ranimpi Zaki, Khozin