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All Journal Jurnal Akuakultur Indonesia Jurnal Pendidikan Teknologi dan Kejuruan Jurnal Sumberdaya Hayati Jurnal Teknik Otomotif Kajian Keilmuan dan Pengajaran Sinkron : Jurnal dan Penelitian Teknik Informatika Jurnal Riset Akuakultur Fair Value: Jurnal Ilmiah Akuntansi dan Keuangan Jurnal Pelita PAUD JOURNAL OF SCIENCE AND SOCIAL RESEARCH JASa (Jurnal Akuntansi, Audit dan Sistem Informasi Akuntansi) Biolearning Journal Jurnal Riset Hesti Medan Akper Kesdam I/BB Medan Journal of Information System, Applied, Management, Accounting and Research Journal of Vocational Education Studies (JOVES) Jurnal Abdi Insani Jatilima : Jurnal Multimedia Dan Teknologi Informasi INFOKUM Jurnal Promotif Preventif Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer) Journal of Soft Computing Exploration ABDI MOESTOPO: Jurnal Pengabdian pada Masyarakat AEEJ : Journal of Automotive Engineering and Vocational Education UNES Journal of Swara Justisia Jurnal Pustaka Data : Pusat Akses Kajian Database, Analisa Teknologi, dan Arsitektur Komputer Jurnal Pustaka AI : Pusat Akses Kajian Teknologi Artificial Intelligence Jurnal PkM MIFTEK Internet of Things and Artificial Intelligence Journal Jurnal Pemberdayaan Sosial dan Teknologi Masyarakat Nanggroe: Journal Of Scholarly Service Amkop Management Accounting Review (AMAR) MDP Student Conference Jurnal Rekayasa Komputasi Terapan Nanggroe: Journal of Scholarly Service Jurnal Pengabdian Pendidikan Khusus Jurnal Paramaedutama Jurnal Sistem Informasi dan Manajemen Research in Education and Technology (REGY) Jurnal Pelita PAUD Jurnal Komputer Indonesia (JU-KOMI) Jurnal Kesehatan, Rekam Medis dan Farmasi (JUK-Medifa) Jurnal Sains, Ekonomi, Manajemen, Akuntansi dan Hukum Pengabdian Kepada Masyarakat Indonesia SEAN (ABDIMAS SEAN) Marsipature Hutanabe: Jurnal Pengabdian Kepada Masyarakat JES-TM Social and Community Service Jurnal Keilmuan Teknologi Informasi dan Ilmu Manajemen Journal Social Humanity Perspective JIMEKA Balance: Jurnal Ekonomi
Maulana, Fajar
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The Representation of History in Digital Media and Its Influence on Collective Memory Ramadhan, Fahri; Setiawan, Bayu; Maulana, Fajar
Journal Social Humanity Perspective Vol. 2 No. 3 (2024): Journal Social Humanity Perspective
Publisher : Journal Social Humanity Perspective

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Abstract

This paper discusses the effect that the representation of history in digital media has on collective memory with a particular emphasis on its consequences in the sphere of management. In the digital era, history is no longer limited to a textbook, all the archives or institutional accounts; it is being spread globally by the social media and video-sharing sites as well as web communities, where the history is reinterpreted, challenged, and co-created. This study employs the use of a qualitative methodology to research various participants based on their interviews to examine the way audiences interact with digital historical material, how they engage in negotiating meaning, and how the interactions influence the overall formation of common sense about the past. These results indicate that digital media will render history more convenient and personal to experience, especially among younger viewers, yet may also lead to the dissection or watering down of narratives. The interpretations of the audience are also influenced by the active involvement of online dialogue, which gives rise to collective memory due to the interaction, debate, and exchange of other views. Notably, the research indicates that the digital media strengthens national identity and at the same time creates space on which the challenged and plural memory can emerge to challenge institutional authority. On the managerial side, the implications of these dynamics are significant: historical narratives can be seen as strategic assets that can be used to affect the organizational legitimacy, identity construction and accountability. Organizations are no longer able to use one direction storytelling but need to dialogically interact with the various accounts of the past to continue to maintain trust and relevance. Finally, the study will help in understanding further the complexity of digital media, history and collective memory entanglement and provide information on how managers and institutions can negotiate across this shifting landscape in a responsible and strategic way.
PENGARUH PENDAPATAN ASLI DAERAH, DANA ALOKASI KHUSUS, DAN LUAS WILAYAH TERHADAP BELANJA MODAL PADA PEMERINTAH KABUPATEN/KOTA DI PROVINSI ACEH Maulana, Fajar; Fadhlia, Wida
Jurnal Ilmiah Mahasiswa Ekonomi Akuntansi Vol 5, No 3 (2020): Agustus 2020
Publisher : Accounting Departement Economics and Business Faculty Syiah Kuala University

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Abstract

This study aims to examine the effect of Local Revenue, Special Allocation Funds, and Area Size on Capital Expenditures. The data used in this study are secondary data obtained from the Aceh Financial Management Agency. The unit of analysis in this study is the 2014-2018 Regency/City Budget Realization Report. The sample in this study was Aceh Province consisting of 23 Regencies/Cities. The analysis technique used is multiple linear regression using SPSS 24. This study uses the independent variables Regional Original Revenue, Special Allocation Funds, and Area and the dependent variable Capital Expenditure. The results of this study indicate that in the simultaneous testing (F test), the variable Local Revenue, Special Allocation Funds, and Area Size have a significant effect on capital expenditure. . In the partial test, the variable of Original Regional Revenue, Special Allocation Funds, and area size affect capital expenditure.
Analyzing the Impact of Labor Force and Unemployment on Poverty Rates in Gowa District Ua, A. Nur Achsanuddin; Rusdi, Muh.; Maulana, Fajar
Jurnal Ekonomi Balance Vol. 21 No. 1 (2025): June 2025
Publisher : Perpustakaan dan Penerbitan Unismuh Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26618/jeb.v21i1.18603

Abstract

This study aims to analyze the influence of labor force participation and unemployment on poverty rates in Gowa Regency, Indonesia. Employing a quantitative research design, the study utilizes time series data from 2014 to 2023, collected through observation and documentation techniques. The data were analyzed using multiple linear regression with the assistance of SPSS version 2.5. The findings reveal that labor force participation has a negative but statistically insignificant effect on poverty rates. This is evidenced by a t-value of -1.120, which is lower than the critical value of 1.894, and a significance level of 0.300 (p > 0.05). These results suggest that while higher labor participation may contribute to reducing poverty, the relationship is not statistically significant. Additionally, unemployment is found to have a positive but similarly insignificant effect on poverty, with a t-value of 0.010 and a significance level of 0.992 (p > 0.05). These findings indicate that changes in labor force participation and unemployment rates do not have a significant direct impact on poverty levels in the region. The study contributes to the discourse on labor market dynamics and socioeconomic development, providing empirical evidence for policymakers in designing effective poverty alleviation strategies
Destination Image as a Mediator between Digital Marketing, Leadership, Marketing Mix, and Tourist Satisfaction Syafriani, Oza; Relifra, Relifra; Maulana, Fajar; Wahyuni, Cica; Zulbaidah, Zulbaidah
Amkop Management Accounting Review (AMAR) Vol. 5 No. 2 (2025): July - December
Publisher : Sekolah Tinggi Ilmu Ekonomi Amkop Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37531/amar.v5i2.3300

Abstract

This study investigates the role of destination image as a mediator in the relationships among digital marketing, leadership, the marketing mix, and tourist satisfaction. A total of 420 respondents participated in the survey, which was distributed both online and offline to tourists who visited various destinations in West Sumatra, Indonesia. The sampling technique employed was purposive sampling to ensure that respondents were relevant to the research context. Data were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). The findings reveal that digital marketing, leadership, and marketing mix exert significant positive effects on destination image. Furthermore, destination image significantly influences tourist satisfaction, confirming its pivotal role in shaping tourists’ overall experiences. Mediation analysis indicates that destination image partially mediates the relationships between digital marketing, leadership, marketing mix, and tourist satisfaction. Interestingly, the direct effect of leadership on tourist satisfaction was not statistically significant, suggesting that leadership influences satisfaction primarily through enhancing destination image. This study contributes to the tourism marketing literature by providing empirical evidence of the mediating role of destination image in the digital era. The results highlight the importance of integrated marketing strategies and leadership in strengthening destination image to enhance tourist satisfaction. Practical implications suggest that tourism stakeholders should optimize digital marketing tools, adopt effective leadership practices, and improve the marketing mix to build a strong destination image that fosters sustainable tourist satisfaction.
SOSIALISASI RANCANGAN DESAIN PRODUK INDUSTRI DINAMO BLDC SEBAGAI KOMPONEN ALTERNATIF KONVERSI MOTOR BBM KE MOTOR LISTRIK DI SMK NEGERI 1 TAMBUSAI Maulana, Fajar; Anugrah, Pinto; Rizky, Ramanda
Jurnal Pemberdayaan Sosial dan Teknologi Masyarakat Vol 5, No 2 (2025): Desember 2025
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jpstm.v5i2.4620

Abstract

Abstract: The initial step to develop renewable energy conversion technology education is to educate teachers, technicians and students of the Automotive Engineering Department, Motorcycle Engineering and Business Expertise Program about electrical energy conversion in the automotive world. With the discourse of community service carried out by the proposing team, a collaboration will be created between the Automotive Technology Vocational Education Study Program and the TBSM Expertise Program of the Automotive Engineering Department of SMK Negeri 1 Tambusai. This collaboration continues from what the proposing team did during the previous year's research, namely designing a BLDC dynamo design as an alternative component for converting fuel-powered motors to electric motors. Keyword: The Socialization of the BLDC Dynamo Industrial Product Design Plan Abstrak: Langkah awal untuk mengambangkan edukasi teknologi konversi energi terbarukan adalah dengan mengedukasi guru, teknisi dan siswa Jurusan Teknik Otomotif, Program Keahnian Teknik dan Bisnis Sepeda Motor tentang konversi energi listrik di dunia otomotif. Dengan adanya wacana dari pengabdian kepada masyarakat yang dilakukan oleh tim pengusul maka nantinya akan tercipta kolaborasi antara Program Studi Pendidikan Vokasional Teknologi Otomotif dengan Program Keahlian TBSM Jurusan Teknik Otomotif SMK Negeri 1 Tambusai. Kolaborasi tersebut meneruskan dari apa yang tim pengusul lakukan pada saat penelitian tahun sebelumnya yaitu tentang perancangan desain dinamo BLDC sebagai komponen alternatif untuk konversi motor bbm ke motor listrik. Kata kunci: Sosialasi Rancangan Desain Produk Industri Dinamo BLDC
Perbandingan Naïve Bayes dan Random Forest pada Seleksi KIP di Universitas Adzkia Thoriq, Muhammad; Maulana, Fajar; Qurrata Ayun, Aisyah
Jurnal Pustaka AI (Pusat Akses Kajian Teknologi Artificial Intelligence) Vol 5 No 3 (2025): Pustaka AI (Pusat Akses Kajian Teknologi Artificial Intelligence)
Publisher : Pustaka Galeri Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55382/jurnalpustakaai.v5i3.1385

Abstract

Penelitian ini bertujuan untuk membandingkan kinerja algoritma Naïve Bayes dan Random Forest dalam memprediksi hasil kelulusan seleksi pendaftar beasiswa Kartu Indonesia Pintar (KIP) di Universitas Adzkia. Menggunakan dataset berjumlah 829 data pendaftar tahun 2024, penelitian ini menerapkan pendekatan eksperimen kuantitatif berbasis proses Knowledge Discovery in Database (KDD) yang meliputi tahap preprocessing, pembangunan model, dan evaluasi performa. Kedua algoritma diuji menggunakan metode 5-Fold Cross Validation dan pembagian data hold-out 80:20, dengan metrik evaluasi Accuracy, Precision, Recall, F1-Score, dan Precision-Recall AUC (PR-AUC) untuk menangani ketidakseimbangan kelas. Hasil penelitian menunjukkan bahwa algoritma Random Forest memberikan performa terbaik dengan nilai Accuracy 83,9%, Recall 61,5%, F1-Score 66,6%, dan PR-AUC 0,78. Analisis feature importance mengungkapkan bahwa faktor penghasilan ayah, status P3KE, dan jumlah tanggungan keluarga merupakan variabel paling berpengaruh terhadap hasil seleksi. Temuan ini menunjukkan bahwa Random Forest lebih unggul dan adaptif dalam menangani dataset tidak seimbang pada kasus pengambilan keputusan di bidang pendidikan. Secara praktis, penelitian ini menawarkan kerangka kerja berbasis data untuk meningkatkan keadilan dan transparansi proses seleksi beasiswa di perguruan tinggi.
KAJIAN FILOSOFIS PENGEMBANGAN SPESIALISASI MAHASISWA VOKASI OTOMOTIF MELALUI TEORI PERKEMBANGAN KARIER SUPER Maulana, Fajar; Refdinal, Refdinal; Abdullah, Rijal; Mardizal, Jonni
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol 8, No 4 (2025): November 2025
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v8i4.4995

Abstract

Abstract: The rapid transformation of the automotive industry towards digitalization and electric vehicles requires vocational graduates to have new competencies as well as a clear career path based on self-concept. However, students' unpreparedness in determining their specialization and the mismatch between their competencies and the needs of the EV industry make the development of a career guidance model even more important. This study aims to analyze the relevance of Super's career development theory in specialization guidance in the Automotive Engineering Vocational Program and to formulate a Self-concept-based career guidance model that is adaptive to the demands of electric vehicle technology. For this purpose, an analytical-philosophical literature review was conducted, examining 35 scientific articles and primary literature on Super's theory. The results show that the stages of career exploration, crystallization, specification, and implementation in Super's theory are in line with the process of forming EV competencies such as BMS, HV safety, electric motors, and digital diagnostics. Another important finding is that technical self-concept is formed through direct learning experiences and guided reflection, so career guidance needs to integrate self-assessment, exploration, workshops, and field experience. The study concludes that Super's theory is relevant as a foundation for vocational career guidance in the era of electrification and recommends the development of a curriculum that emphasizes career exploration and empirical research to test the effectiveness of the model.Keyword: Vocational Career; Super Theory; Electric Vehicles; Self-Concept; Career Guidance.Abstrak: Transformasi pesat industri otomotif menuju digitalisasi dan kendaraan listrik menuntut lulusan vokasi memiliki kompetensi baru sekaligus kejelasan arah karier yang berbasis Self-concept. Fenomena ketidaksiapan mahasiswa dalam menentukan spesialisasi serta ketidaksesuaian kompetensi dengan kebutuhan industri EV menjadikan pengembangan model bimbingan karier semakin penting. Penelitian ini bertujuan menganalisis relevansi teori perkembangan karier Super dalam pembimbingan spesialisasi pada Program Vokasi Teknik Otomotif serta merumuskan model bimbingan karier berbasis Self-concept yang adaptif terhadap tuntutan teknologi kendaraan listrik. Metode penelitian menggunakan kajian pustaka analitik-filosofis dengan menelaah 35 artikel ilmiah dan literatur primer teori Super. Hasil penelitian menunjukkan bahwa tahapan eksplorasi, kristalisasi, spesifikasi, dan implementasi karier pada teori Super selaras dengan proses pembentukan kompetensi EV seperti BMS, HV safety, motor listrik, dan diagnostik digital. Temuan penting lainnya adalah bahwa Self-concept teknis terbentuk melalui pengalaman belajar langsung dan refleksi terarah, sehingga bimbingan karier perlu mengintegrasikan asesmen diri, eksplorasi, workshop, dan pengalaman lapangan. Penelitian menyimpulkan bahwa teori Super relevan sebagai landasan pembimbingan karier vokasional pada era elektrifikasi dan merekomendasikan pengembangan kurikulum yang menekankan eksplorasi karier serta penelitian empiris untuk menguji efektivitas model yang diusulkan.Kata kunci: Karier Vokasional; Teori Super; Kendaraan Listrik; Self-Concept; Bimbingan Karier.
PENGARUH PENGUASAAN TEKNOLOGI KENDARAAN LISTRIK TERHADAP INOVASI PRODUK OTOMOTIF MELALUI KREATIVITAS MAHASISWA Maulana, Fajar; Ganefri, Ganefri; Yulastri, Asmar; Yuliana, Yuliana
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol 9, No 1 (2026): February 2026
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v9i1.5840

Abstract

Abstract: This study aims to analyze the effect of Electric Vehicle Technology Mastery and Project Team Collaboration on Automotive Product Innovation, with Student Creativity as a mediating variable among students of the Vocational Automotive Technology Education Program at Universitas Lancang Kuning (Unilak). The study is grounded in the increasing demand for advanced electrification skills and collaborative capabilities required in modern automotive industries. A quantitative explanatory approach was used, involving 100 students participating in electrification-based automotive projects. Data were collected using structured questionnaires and analyzed through validity testing, reliability testing, classical assumption tests, multiple regression, and mediation analysis using SPSS. The findings indicate that Electric Vehicle Technology Mastery and Student Creativity have a positive and significant effect on Automotive Product Innovation. Project Team Collaboration shows a significant but negative effect, suggesting that suboptimal teamwork dynamics may hinder the innovation process. Simultaneously, all predictors strongly influence innovation, with an R² value of 0.866. Student Creativity emerges as the most dominant factor. These results highlight the essential role of integrating technical competence, creativity, and collaborative skills to enhance innovation capacity within vocational education settings. Keywords: Electric Vehicle Technology, Team Collaboration, Student Creativity, Automotive Innovation, Vocational Education. Abstrak: Penelitian ini bertujuan untuk menganalisis pengaruh Penguasaan Teknologi Kendaraan Listrik dan Kolaborasi Tim Proyek terhadap Inovasi Produk Otomotif dengan Kreativitas Mahasiswa sebagai variabel mediasi pada mahasiswa Prodi Pendidikan Vokasional Teknologi Otomotif Universitas Lancang Kuning (Unilak). Latar belakang penelitian didasarkan pada tuntutan perkembangan teknologi otomotif modern yang menekankan penguasaan sistem elektrifikasi dan kemampuan kolaboratif sebagai kompetensi utama pendidikan vokasi. Metode penelitian menggunakan pendekatan kuantitatif eksplanatori dengan penyebaran kuesioner kepada 100 mahasiswa yang terlibat dalam proyek otomotif berbasis elektrifikasi. Analisis data dilakukan melalui uji validitas, reliabilitas, asumsi klasik, regresi berganda, dan uji mediasi menggunakan SPSS. Hasil penelitian menunjukkan bahwa Penguasaan Teknologi Kendaraan Listrik dan Kreativitas Mahasiswa berpengaruh positif signifikan terhadap Inovasi Produk Otomotif. Kolaborasi Tim Proyek berpengaruh signifikan namun negatif, menunjukkan bahwa dinamika kerja tim yang kurang optimal dapat menghambat proses inovasi. Secara simultan, ketiga variabel independen memberikan pengaruh yang kuat terhadap inovasi, dengan nilai R² sebesar 0.866. Kreativitas Mahasiswa menjadi variabel yang paling dominan dalam meningkatkan inovasi. Temuan ini menegaskan pentingnya integrasi kompetensi teknis, kreativitas, dan kolaborasi dalam pengembangan kualitas pendidikan vokasional. Kata Kunci: Teknologi Kendaraan Listrik, Kolaborasi Tim, Kreativitas Mahasiswa,
Rancang Bangun Sistem Informasi Berbasis Web untuk Prediksi Stok Obat Kronis pada Penderita Diabetes Melitus Rahmad Mulia, Jefri; Maulana, Fajar; Afif, Ahmad; Manurung, Kiki Hariani; Wendra, Yumai
Jurnal Pustaka Data (Pusat Akses Kajian Database, Analisa Teknologi, dan Arsitektur Komputer) Vol 5 No 1 (2025): Jurnal Pustaka Data (Pusat Akses Kajian Database, Analisa Teknologi, dan Arsitekt
Publisher : Pustaka Galeri Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55382/jurnalpustakadata.v5i1.1021

Abstract

Pengelolaan persediaan obat yang efektif merupakan aspek penting dalam pelayanan kesehatan, terutama untuk penyakit kronis seperti Diabetes Melitus yang membutuhkan ketersediaan obat secara berkelanjutan. Penelitian ini bertujuan untuk merancang sistem informasi berbasis web yang dapat memprediksi kebutuhan stok obat kronis bagi penderita Diabetes Melitus dengan menggunakan metode simulasi Monte Carlo. Sistem ini dikembangkan untuk membantu pihak manajemen rumah sakit dalam melakukan perencanaan pengadaan obat secara lebih efisien dan akurat. Metode penelitian meliputi analisis kebutuhan sistem, pemodelan dengan Unified Modeling Language (UML), dan pembangunan prototipe sistem berbasis web. Data pemakaian obat tahun 2021 hingga 2023 digunakan sebagai dasar perhitungan distribusi probabilitas dan simulasi Monte Carlo.Hasil dari penelitian ini berupa prototipe sistem yang mampu menghitung estimasi kebutuhan obat kronis untuk periode tertentu. Sistem ini tidak hanya meningkatkan efisiensi pengelolaan logistik farmasi, tetapi juga mendukung pengembangan infrastruktur e-health di Indonesia. Sistem dapat dikembangkan lebih lanjut untuk digunakan pada jenis penyakit kronis lainnya.
Explainable AI pada Seleksi Beasiswa KIP Berbasis Machine Learning di Universitas Adzkia Thoriq, Muhammad; Maulana, Fajar; Ali Pitchay, Sakinah; Ridzuan, Farida; Ramanda, Wega
Jurnal Pustaka AI (Pusat Akses Kajian Teknologi Artificial Intelligence) Vol 6 No 1 (2026): Pustaka AI (Pusat Akses Kajian Teknologi Artificial Intelligence)
Publisher : Pustaka Galeri Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55382/jurnalpustakaai.v6i1.1767

Abstract

Program Kartu Indonesia Pintar Kuliah (KIP-K) bertujuan memperluas akses pendidikan tinggi bagi mahasiswa dari keluarga kurang mampu. Namun, peningkatan jumlah pendaftar serta kompleksitas verifikasi kondisi sosial ekonomi sering kali menyulitkan proses seleksi di perguruan tinggi. Penelitian ini mengusulkan pendekatan berbasis machine learning yang terintegrasi dengan Explainable Artificial Intelligence (XAI) untuk mendukung rekomendasi kelayakan penerima beasiswa menggunakan data riil seleksi mandiri Universitas Adzkia. Dataset yang digunakan terdiri dari 829 pendaftar dengan variabel sosial ekonomi seperti status P3KE, penghasilan orang tua, jumlah tanggungan keluarga, pekerjaan orang tua, serta asal sekolah. Model klasifikasi dibangun menggunakan algoritma Random Forest dan divalidasi menggunakan 5-fold cross-validation dengan metrik evaluasi accuracy, precision, recall, F1-score, serta confusion matrix. Karena dataset memiliki distribusi kelas yang tidak seimbang, dilakukan threshold optimization untuk meningkatkan kemampuan model dalam mendeteksi kandidat yang layak menerima beasiswa. Untuk meningkatkan transparansi model, penelitian ini menggunakan metode SHapley Additive exPlanations (SHAP) guna menginterpretasikan kontribusi setiap fitur baik secara global maupun lokal. Hasil penelitian menunjukkan bahwa faktor sosial ekonomi seperti status P3KE, jumlah tanggungan keluarga, penghasilan orang tua, serta wilayah asal sekolah merupakan determinan utama dalam prediksi kelayakan penerima beasiswa. Integrasi machine learning dan SHAP memungkinkan sistem seleksi yang lebih objektif, transparan, dan berbasis data dalam proses pengambilan keputusan.
Co-Authors A. M. Muslihin Abadi, Mitra Abdullah, MT, Dr. Rijal Ade Sutedi, Ade Aditya, Surya Rama Afosma, Pinto Pratama Agus Oman Sudrajat Ahmad Afif Aisyah, Heti Aldo Eko Syaputra Alfian, Dimas Risma Ali Pitchay, Sakinah Aly, Moustafa H Amanah, Farah Sofiatul Nur Anugrah, Pinto Apriana Vinasyiam Ardi, Ahmad Riau Ardiansyah, Fikry Saputro Arisman, Anton Ashim Madani, Muhammad Asih, Tri Sri Noor Asmar Yulastri Asyahri Hadi Nasyuha Aulya, Sofa Tsuroya Aulya Ayun, Aisyah Qurrata Bayu Setiawan Bazzury, Tiara Ardilla Budy Satria Cosmas Samuel Daeli Dasril Aldo Denni M Rajagukguk Devi Indriyani Dinamella Wahjuningrum Dinar Tri Soelistyowati Dwi Sudarno Putra Edidas , Edidas Efendi, Muhammad Raihan Erawati, Rika Fabanyo, Syahrul H Fabanyo, Syahrul H. Fadhilah, Windi Nur Fakhrurradhi Luthfi Febriyanto, Muhammad Agung Firginia, Rissky Firmansyah, Lukman Fitnes, Fitnes Fitrih, Adhana Nur Ganefri . Gopur, Muhammad Halawa, Luk Juni S Hamsar, Ali Hanan, Muhamad Ilham Handayani, Tri Novi Harahap, Devianti Yunita Hardiansyah, La Ode Harton Arfah Hasan, Nabila Nisa Hasanah, Nisaul Hayati , Nova Hayati, Nova Hendra, Yomei Herian, Akmal Muh Hermansyah, M.fikri Ichsan Achmad Fauzi Ika Yusnita Sari Ilham, Vicky Dixondra Irzal Effendi Istifarini, Mita Iswandi, Wiky Asri Iyah Faniyah, Iyah Jaelani, Akmal Abdul Kodir Julia Eka Astarini Julie Ekasari Kamil, Zatnika Insan Khair, Oki Iqbal Khairunisa, Khairunisa Khairunnisa Khairunnisa Kristi, I Sildani Lumbanbatu, Maristella J. Malik, Luthfi Abdul Manalu, Mamed Rofendi Manikam, Menur Manurung, Kiki Hariani Mardizal, Jonni Masdi, Mohammad Rajib Balhaj Mei Lestari, Mei Mendrofa, Anita Mia Setiawati Mufid, Muhammad Fauzan Muh. Rusdi Muhammad Qomaruddin MUHAMMAD THORIQ Mulyani, Lina Mustopa Mustopa Nasution, Dwiana Arianty Nazar, Danella Austraningsih Puspa Nelisa, Nelisa Ni'ma, Eka Savira Novembli, Meta Silfia Nur Ihsan, Irsyad Ahmad Nur ‘Azah Nurlela Nurlela Nursyafti, Yolana O Liza, Ledya Odang Carman Panjaitan, Muhammad Iqbal Permana, Andre Pratama, Guntur Eka Purba, Niki Dwi Nastiti Purnomo, Gigih Attayauban Putra, Angga Tri Adi Putra, Meiyaldi Eka Qurrata Ayun, Aisyah Rahmad Mulia, Jefri Rahman, Zumardi Rahmi, Elvika Rajagukguk, Denni M. Ramadhan, Fahri Ramanda Rizky Ramanda, Wega Ramelda, Meliyani Refdinal, Refdinal Relifra, Relifra Ridzuan, Farida Rizky, Ramanda Rosarina, Risa Sadiah, Rapiah Safitri, Salsha Safrizal Safrizal SAKINAH, PUTRI Salosa, Angga Fatrias Myloudri Sean Marta Efastri, Sean Marta Sholihin, Hidayatush Siddik Karo-Karo Sihombing, Marjones H.H. Sihombing, Marjones Hardy H Sihombing, Monang JT Sihombing, Valencia Helena Andata Sikki, Nurhaeni Sirait, Shelvia Sharon Siregar, Khoirotun Nisa Sitanggang , Alfina Tiurmida Solihin, Khoirul Sony Devano Suarman, M Dani Suroyo Suroyo Suwartika, Wawat Syafriani, Oza Teguh Irawan Thoriq, Muhammad Tunazzila, Nurhikmah UA, A. Nur Achsanuddin Ustafiano, Binta Ustafiano, Bintha Verawati, Ketut Wahyuni, Cica Wakhinuddin Wakhinuddin, Wakhinuddin Wendra, Yumai Wibowo, Kesit Tisna Wida Fadhlia WIDANARNI WIDANARNI Wiguna, Ardiansyah Pratama Wildan Nurussalam YANTO Yofhanda Septi Eirlangga Yogi Yunefri, Yogi Yuliana Yuliana Yunus, Heri Setiawan Zahrahaq, Efica Zahran, Fernuzuar Faiz Zairin Jr., Muhammad Zubaidah Zulbaidah Zulbaidah, Zulbaidah