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All Journal International Journal of Electrical and Computer Engineering Lembaran Ilmu Kependidikan JURNAL PENELITIAN KEISLAMAN World Chemical Engineering Journal The Indonesian Journal of Planning and Development BERITA BIOLOGI Jurnal DIDIKA: Wahana Ilmiah Pendidikan Dasar Economica: Jurnal Ekonomi Islam Tarbawi : Jurnal Pendidikan Islam Journal of Education and Instruction (JOEAI) KACANEGARA Jurnal Pengabdian pada Masyarakat JURNAL EDUCATION AND DEVELOPMENT Reka Buana : Jurnal Ilmiah Teknik Sipil dan Teknik Kimia PARAMUROBI Jurnal Golden Age Jurnal Tarbiyah : Jurnal Ilmiah Kependidikan Biota Jurnal Ilmiah Mandala Education (JIME) JISIP: Jurnal Ilmu Sosial dan Pendidikan JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Jurnal Penelitian dan Pengkajian Ilmu Pendidikan: e-Saintika Jurnal Inovasi Teknik Kimia Edification Journal : Pendidikan Agama Islam Unistek: Jurnal Pendidikan dan Aplikasi Industri Jurnal Ilmiah Profesi Pendidikan Tamumatra : Jurnal Seni Pertunjukan BIO-EDU: Jurnal Pendidikan Biologi JIIP (Jurnal Ilmiah Ilmu Pendidikan) JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Jurnal Teknik Industri Terintegrasi (JUTIN) ABSYARA: Jurnal Pengabdian Pada Masyarakat AL-ARBAH: Journal of Islamic Finance and Banking Equilibrium Journal of Chemical Engineering Jurnal Riset Teknologi Pencegahan Pencemaran Industri Bioscientist : Jurnal Ilmiah Biologi Jurnal Riset dan Inovasi Pembelajaran Dharmas Education Journal (DE_Journal) Ar Rehla: Journal of Islamic Tourism, Halal Food, Islamic Traveling, and Creative Economy Jurnal Media Informatika DIKSI: Jurnal Kajian Pendidikan dan Sosial Journal Evaluation in Education (JEE) NUSRA: Jurnal Penelitian dan Ilmu Pendidikan Jurnal Dinamika Informatika (JDI) Jurnal Pustaka AI : Pusat Akses Kajian Teknologi Artificial Intelligence Jurnal Informatika Teknologi dan Sains (Jinteks) Mudabbir: Journal Research and Education Studies Journal of Educational Sciences Malcom: Indonesian Journal of Machine Learning and Computer Science Media Bina Ilmiah Tadris: Jurnal Pendidikan Islam Jurnal Pengabdian kepada Masyarakat Innovative: Journal Of Social Science Research International Journal of Essential Competencies in Education Jurna Beta Kimia Barista : Jurnal Kajian Bahasa dan Pariwisata Journal of Religious Policy Ar Rehla: Journal of Islamic Tourism, Halal Food, Islamic Traveling, and Creative Economy International Journal of Ethnoscience and Technology in Education Iqtishadia: Jurnal Ekonomi dan Perbankan Syariah Journal of Primary Education PESHUM Madania: Jurnal Kajian Keislaman Al-Bahtsu: Jurnal Penelitian dan Pendidikan Islam Al Fitrah: Journal Of Early Childhood Islamic Education Jurnal Indonesia Studi Moderasi Beragama Indonesian Journal of Research in Islamic Studies Jurnal Ilmiah Syi'ar Maneggio At-Ta'lim : Media Informasi Pendidikan Islam
SUHIRMAN SUHIRMAN
SPs Universitas Islam Negeri (UIN) Syarif Hidayatullah Jakarta
Religion 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 Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science 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 Physics Public Health Social Sciences Other

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STUDI LITERATUR AUDIT ISO 27001, COBIT, DAN ITIL PADA LAYANAN SISTEM INFORMASI Dessan Putra, Kristianto Pratama; Sutopo, Joko; Suhirman, Suhirman
Jurnal Media Informatika Vol. 6 No. 6 (2025): Edisi Desember 2025
Publisher : Lembaga Dongan Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55338/jumin.v6i6.7446

Abstract

Proses audit memegang peranan penting dalam evaluasi suatu layanan informasi. Dengan adanya proses audit, celah-celah kecurangan ataupun kendala-kendala dapat diketahui dan melalui proses audit juga dapat memberikan rekomendasi perbaikan terhadap sistem informasi tersebut. Proses audit dapat memberikan perbaikan pada proses bisnis agar dapat berjalan lebih efektif dan efisien, serta minim dari risiko. Ada berbagai macam kerangka kerja audit sistem informasi, diantaranya ISO 27001, COBIT, dan ITIL dengan fokus dan karakteristik yang berbeda-beda. Menjadi hal penting untuk mengetahui perbedaan dari masing-masing kerangka kerja audit tersebut sehingga proses audit yang dipilih sesuatu dengan kebutuhan dari sistem informasi tersebut. Oleh karena itu, penelitian ini bertujuan untuk memberikan sumber referensi untuk memilih kerangka kerja audit sistem informasi yang tepat sesuai kebutuhan dari masing-masing pengguna.Hasil dari penelitian adalah ISO 27001 memiliki fokus pada keamanan dan perlindungan data sistem informasi, COBIT memiliki fokus pada tata kelola dan manajemen risiko sistem informasi, dan ITIL memiliki fokus pada peningkatan kualitas layanan dan keberlangsungan peningkatan sistem informasi. Selain itu, penelitian ini juga memberikan informasi latar belakang, kelebihan – kekurangan, serta langkah-langkah implementasi dari masing-masing kerangka kerja audit tersebut. Diharapkan penelitian ini dapat menjadi sumber referensi untuk menentukan kebutuhan audit dari masing-masing sistem informasi.
MOBILE APPLICATION DEVELOPMENT FOR INVENTORY MANAGEMENT USING BARCODE TECHNOLOGY Sahetapy, Revy Ravly Sabbathino; Suhirman, Suhirman
Jurnal Informatika Teknologi dan Sains (Jinteks) Vol 7 No 4 (2025): EDISI 26
Publisher : Program Studi Informatika Universitas Teknologi Sumbawa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51401/jinteks.v7i4.6929

Abstract

Efficient inventory management plays a crucial role in ensuring accuracy, reducing operational delays, and supporting data-driven decision-making. This study develops a mobile inventory management application that integrates barcode scanning technology to enhance process efficiency. The research method includes requirement analysis, system design, development, and system evaluation. System testing involves black-box testing for functional validation, performance testing to measure response time, and usability evaluation using the System Usability Scale (SUS). Experimental results show that the application increases data entry speed by 43%, achieves barcode scanning accuracy up to 98.5%, and reduces human input errors by 72% compared to manual recording. Performance testing indicates an average response time of 1.2 seconds, meeting mobile application usability standards. These findings demonstrate that the proposed system significantly improves accuracy, speed, and reliability in inventory operations. The scientific contribution of this research is the formulation of a validated and replicable mobile–barcode integration model optimized for small and medium-scale businesses requiring real-time inventory control.
Penerapan Face Recogniton untuk Presensi Berbasis WEB dan Mobile di MAN 3 Kulon Progo: Sistem Presensi Siswa Menggunakan Face Recognition di MAN 3 Kulon Progo Falah, Eko Fajrul; Suhirman, Suhirman
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.v5i3.1407

Abstract

Penelitian ini mengembangkan sistem presensi siswa berbasis face recognition yang terintegrasi dengan dashboard web untuk admin dan aplikasi mobile bagi guru. Sistem dibangun menggunakan Next.js untuk platform web, Flutter untuk platform mobile, serta MongoDB Atlas sebagai basis data berbasis cloud. Tujuan penelitian ini adalah memodernisasi proses pencatatan kehadiran agar lebih akurat, mengurangi kesalahan manusia, dan meningkatkan efisiensi administrasi sekolah. Sistem diimplementasikan di MAN 3 Kulon Progo dan menghasilkan waktu respon rata-rata 2 detik serta tingkat akurasi pengenalan wajah sebesar 95%. Hasil penelitian menunjukkan bahwa sistem yang dikembangkan dapat diterapkan secara efektif untuk mendukung transformasi digital dan penerapan konsep smart school.
Pengembangan Sistem Prediksi Risiko Diabetes Menggunakan Algoritma Support Vector Machine (SVM) Setiawan, Alfon; Suhirman, Suhirman
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.v5i3.1437

Abstract

Diabetes melitus merupakan gangguan metabolik kronis yang ditandai dengan meningkatnya kadar glukosa darah akibat gangguan pada produksi atau fungsi insulin. Deteksi dini penyakit ini sangat penting untuk mencegah komplikasi jangka panjang. Penelitian ini berfokus pada pengembangan sistem prediksi risiko diabetes berbasis web menggunakan algoritma Support Vector Machine (SVM). Dataset yang digunakan adalah Pima Indians Diabetes yang diperoleh dari Kaggle, terdiri dari 768 data dengan delapan parameter medis seperti kadar glukosa, tekanan darah, indeks massa tubuh (BMI), insulin, dan usia. Sistem dikembangkan menggunakan bahasa pemrograman Python dan framework Flask tanpa penerapan StandardScaler maupun SMOTE untuk menjaga keaslian distribusi data. Pengujian dilakukan dengan memisahkan data latih dan data uji untuk validasi performa model. Hasil penelitian menunjukkan bahwa algoritma SVM mampu mencapai tingkat akurasi tinggi dalam klasifikasi risiko diabetes serta memberikan hasil prediksi secara interaktif melalui antarmuka web. Penelitian ini menyimpulkan bahwa sistem yang dikembangkan dapat menjadi alat bantu pengambilan keputusan yang efektif bagi tenaga medis dan berkontribusi pada penerapan machine learning dalam diagnosis kesehatan digital.
Penerapan Long Short-Term Memory dalam Prediksi Harga Mingguan Bitcoin Berbasis Data Historis Bintang, Andi Muhammad; Suhirman, Suhirman
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.v5i3.1582

Abstract

Bitcoin merupakan salah satu aset kripto yang memiliki tingkat volatilitas harga yang tinggi, sehingga prediksi pergerakan harganya menjadi tantangan tersendiri. Penelitian ini bertujuan untuk menerapkan metode Long Short-Term Memory (LSTM) dalam memprediksi harga mingguan Bitcoin berdasarkan data historis. Data yang digunakan berupa data historis harga Bitcoin dengan frekuensi mingguan yang telah melalui tahapan pra-pemrosesan, normalisasi, dan pembentukan data deret waktu. Model LSTM dilatih menggunakan data pelatihan dan dievaluasi menggunakan data pengujian. Kinerja model dievaluasi menggunakan metrik Mean Absolute Error (MAE), Mean Squared Error (MSE), dan Mean Absolute Percentage Error (MAPE). Hasil penelitian menunjukkan bahwa model LSTM mampu menghasilkan prediksi harga yang mengikuti pola dan arah tren pergerakan harga Bitcoin aktual pada sebagian besar periode pengujian. Meskipun demikian, tingkat kesalahan prediksi cenderung meningkat pada periode dengan volatilitas harga yang tinggi. Hasil penelitian ini menunjukkan bahwa metode LSTM dapat digunakan sebagai pendekatan untuk memodelkan pergerakan harga Bitcoin berbasis data historis mingguan.
The Effect of Kinesthetic Learning Style on Students' Motivation and Learning Interest Jonivan, Yoven; Suhirman, Suhirman; Saepudin, Saepudin
Journal of Educational Sciences Vol. 10 No. 1 (2026): Journal of Educational Sciences
Publisher : FKIP - Universitas Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31258/jes.10.1.p.60-71

Abstract

This research is based on the importance of learning styles in the teaching and learning process. Generally, learning styles are divided into three types: visual, auditory, and kinesthetic. However, among these, usually only one learning style tends to dominate in each individual. This study focuses on the kinesthetic learning style, which is characterized by physical activity and movement. The purpose of this study is to determine whether there is an influence of kinesthetic learning style on students’ motivation and interest in learning at SMPN 16 Bengkulu City. This research is a field study using a quantitative associative approach. The sample consisted of 68 respondents, and data collection techniques included observation, documentation, and questionnaires. The hypothesis was tested using simple and multiple regression analysis. The results of the study indicate that there is a significant influence of kinesthetic learning style on students’ motivation and interest in learning Islamic Religious Education at SMPN 16 Bengkulu City.
The Future Of Sharia Based Village Business Agencies Religious Response Management Of Village-Owned Enterprises In Central Lombok Suhirman, Suhirman
AL-ARBAH: Journal of Islamic Finance and Banking Vol. 2 No. 1 (2020)
Publisher : Universitas Islam Negeri (UIN) Walisongo Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21580/al-arbah.2020.2.1.5677

Abstract

AbstractPurpose - This study aims to uncover and explain the opportunities and future of Village-Owned Enterprises (BUMDes) in Central Lombok managed by the Islamic financial system which is viewed from the perspective of the manager's religious response.Method - This research is a qualitative-descriptive research. Data collection methods using questionnaires and unstructured interviews. The data used in this study are primary data and analyzed qualitatively. The population of this study is the managers of BUMDes in Central Lombok with a sample of 52 people.Result - This research shows that based on organizational affiliation and Islamic character as well as Islamic commitment of managers, BUMDes in Central Lombok is very likely to be managed syariah. Whereas in terms of the manager's response to the sharia bank system and its products, the BUMDes argumentation that is not managed in a sharia way shows the opposite opportunity.Implication - Activists, practitioners, and Islamic economic stake holders need to provide education and dissemination to BUMDes managers and stakeholders about the advantages and strengths of sharia-based financial management, both in terms of religiosity and profitability.Originality- This study focuses on revealing the opportunities and future of Sharia-based BUMDes management from the perspective of the religious response of BUMDes managers in Central Lombok. 
Strategies for Preventing Radicalism: A Case Study at Pondok Pesantren (Islamic Boarding School) Lubis, Bachtra Dona; Suhirman, Suhirman; Kasmantoni, Kasmantoni
Jurnal Indonesia Studi Moderasi Beragama Vol. 2 No. 2 (2025): JISMB, Volume 2, Issue 2 (2025): October-March Period
Publisher : Academia Edu Cendekia Indonesia (AEDUCIA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64420/jismb.v2i2.370

Abstract

Background: This study examines the strategies employed at Pondok Pesantren Makrifatul Ilmi in South Bengkulu to prevent radicalism, a growing concern in educational institutions, especially Islamic boarding schools. Objective: The primary objective is to identify the steps taken by the pesantren to combat radicalization and to assess the factors that support and hinder these efforts. Method: A descriptive qualitative approach was employed to collect data through interviews, observations, and documentation. Result: The findings reveal that the pesantren implements three key strategies: religious functions, educational activities, and social engagement. Supporting factors include heightened student awareness, strong internal cooperation within the pesantren, and active parental involvement. However, the study also highlights several challenges, including students' diverse social backgrounds, varying interpretations of nationalism, and the pervasive influence of technology. Conclusion: While the pesantren's strategies for preventing radicalism are effective, overcoming these barriers requires sustained cooperation and adaptability. Contribution: This research contributes to a deeper understanding of counter-radicalism strategies in pesantren and offers insights into the unique challenges faced by Islamic educational institutions in South Bengkulu.
PENGOLAHAN LIMBAH TEKSTIL (METHYLENE BLUE) MENGGUNAKAN ADSORBEN KARBON AKTIF KULIT MANGGIS (GARCINIA MANGOSTANA) TERAKTIVASI HIDROGEN PEROXIDE Suhirman, Suhirman; Arvianto, Rizky Ibnufaatih; Pradana, Arfando Yudha; Wijaya, Panji
Jurnal Inovasi Teknik Kimia Vol. 10 No. 4 (2025): October| INTEKA - Jurnal Inovasi Teknik Kimia
Publisher : Fakultas Teknik Universitas Wahid Hasyim

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31942/inteka.v10i3.14352

Abstract

Textile wastewater is a major contributor to aquatic pollution because synthetic dyes such as Methylene Blue (MB) are toxic, persistent, and resistant to biodegradation. This study investigates the adsorption performance of activated carbon derived from mangosteen peel (Garcinia mangostana) activated with hydrogen peroxide (H₂O₂) for MB removal from aqueous solution. Activated carbon was prepared by carbonization at 850 °C, followed by chemical activation with diluted 50% H₂O₂. Adsorption tests were performed using 50 mg of adsorbent in 250 mL of MB solution (50 ppm) for 120 min, and residual concentrations were determined by UV–Vis spectrophotometry at 663 nm. H₂O₂ activation enhanced the specific surface area from 522 to 700 m²/g and enriched oxygen-containing functional groups (–OH, C=O) on the carbon surface. The contact angle decreased from 134,01° to 55,83°, indicating improved hydrophilicity. The activated carbon achieved 68% MB removal, significantly higher than the non-activated carbon (16%). Adsorption kinetics were well described by the pseudo-second-order model, with a high determination coefficient (R² = 0.988).
Pengembangan Sistem Manajemen Keanggotaan dan Pelatihan Gym Berbasis Web Menggunakan Metode Traditional Analysis dan Prototype: Development of a Web-Based Gym Membership and Training Management System Using the Traditional Analysis and Prototype Methods Ravelino, Muhammad Iqbal; Suhirman, Suhirman
MALCOM: Indonesian Journal of Machine Learning and Computer Science Vol. 6 No. 1 (2026): MALCOM January 2026
Publisher : Institut Riset dan Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57152/malcom.v6i1.2354

Abstract

Proses manajemen keanggotaan dan pelatihan pada banyak gym masih dilakukan secara manual, sehingga menimbulkan masalah seperti kesalahan pencatatan, ketidaktepatan jadwal, dan keterbatasan dalam pemantauan aktivitas anggota. Kondisi ini berdampak pada rendahnya akurasi data dan menurunnya efisiensi operasional. Penelitian ini bertujuan merancang dan mengembangkan sistem manajemen keanggotaan dan pelatihan gym berbasis web untuk menurunkan kesalahan administrasi minimal 50%, mempercepat proses pendaftaran anggota hingga 40%, serta meningkatkan ketepatan jadwal pelatihan hingga akurasi 95%. Pengembangan sistem dilakukan menggunakan metode Prototype, melalui proses pembuatan desain awal, evaluasi bersama pengguna, serta siklus penyempurnaan berulang hingga sistem memenuhi kebutuhan operasional. Evaluasi sistem dilakukan melalui pengujian User Acceptance Testing (UAT) untuk menilai tingkat penerimaan pengguna terhadap fungsionalitas, kemudahan penggunaan, akurasi proses, dan kesesuaian sistem dengan kebutuhan gym. Hasil pengujian UAT menunjukkan bahwa seluruh fitur utama pendaftaran anggota, pengaturan jadwal pelatihan, pencatatan kehadiran, serta pelaporan aktivitas memenuhi kriteria yang diharapkan pengguna dengan tingkat kepuasan berada pada kategori “sangat baik”. Penelitian ini berkontribusi pada pengembangan solusi digital yang adaptif untuk manajemen gym, khususnya dalam integrasi layanan keanggotaan dan pelatihan berbasis web. Secara keseluruhan, sistem yang dihasilkan dapat menjadi fondasi bagi transformasi digital layanan kebugaran yang lebih modern, terukur, dan terintegrasi.
Co-Authors Abdul Aziz Abdul Fatah Abdul Fattah Albetrik Meizontara Alhafizin, M. alimni, alimni Alkusaeri Alkusaeri, Alkusaeri Amelia Ismi, Penti Andjanie, Isabella Fitria Annisa Lazuardina Annisa, Annisa Tusadia Apriliansyah, Apriliansyah Ardian, Adna Ivan Arsonariya, Arsonariya Artiningsih, Typuk Arvianto, Rizky Ibnufaatih Asli, Nihi Asmawati, Ainun Aswasulasikin Auliya, Anisa Ayu Anggita, Esi Azis, Ahmad Bahrudin Bahtiar Bahtiar Bintang, Andi muhammad Citra, Desy Eka Daheri, Mirzon Dahlia Hidayati, Dahlia Dali, Zulkarnain Daniswara, Nirwasita Dea Yusuf Yudanto, Dea Yusuf Dennis Farina Nury Dessan Putra, Kristianto Pratama Desy, Desy Eka Citra Dewi Dewi Septia, Rafika Dewi, Desy Eka Citra Dian Yulie Reindrawati Dina Apriana Drezewski, Rafał Eka Citra Dewi, Desy Eka Citra, Desy Faeruz, Ratna Falah, Eko Fajrul Fathurrahman Muhtar Fauzi, Isman Fikrah Dian Indrawati Sawali Fitiriani, Rohyana Gita Mentari Hafith, Abdul Hariadi Hariadi Hayati Umajan, Lulu Hanifa Hayati, Eza Qurnia Hemlan Elhany Herwint Simbolon, Herwint Hery Widijanto Hidayani, Masrifa Hidayat, Ahmad Tri Husnul Mukti Ibrahim, Doni Septu Marsa Ihwan Ghazali Ikbal, Moch. Iqbal Syaichurrozi Ismail Ismail Jerry, Jerry Jonivan, Yoven Julita Julita Kasmantoni, Kasmantoni Kencana Putra, Ahmad Agung krisnajaya, Bogi Kurniasih Nur Afifah Kusuma, M. Apriandi Latipah, Nurlia Lestari, Maghfira Arum Lestari, Meri Lubis, Bachtra Dona Lugi, Fitriana Mahdalena, Siti Mardian, Della Martiana, Istikazah Mashilal, Mashilal Maulidian, Muslihatul Mindani Mindani Mita Napitasari, Mita Mitsuru Osaki Moh. Azhar Afandy Muhammad Hafizin Muhammad Husni Muhammad Iqbal Muhammad Zulfikar Luthfi Muslimin Muslimin Muthia, Farah Nainggolan, Denny Hendrik Najamuddin Najamuddin, Najamuddin Nararya Budiyono Ningsih, Sapitria Nirmalasari, Emalia Nopitasari, Mona Novianto, Enggar Novriyana, Yola Nur Wening, Nur Nurhasanah Nurhasanah Nurlaili Nurlaili Nurlali, Nurlali Oetalu, Reki Oktoberi, Panca Pradana, Arfando Yudha Prasetyo, Damar Pratama, M. Arifky Pujiani, Sri Pulungan, Muhammad Rezki Purwanto Purwanto Pusvita Dewi, Yenni Puteri, Denanda Clarasati Putra, Muhamad Iqbal Putra, Muhammad Iqbal R. Rusli Rahayu, Vina Putri Rahmat, Azwar Ramdhani, Sandy Ramdhani, Zuhut Ravelino, Muhammad Iqbal Rayyan, Fathan Awwalur Refriana, Isna Regina Ananda Rini Fitria, Rini Riska Damayanti, Riska Rizki Febriansyah Rohimin Rohimin Rohmi, Rohmi Rohyana Fitriani Ruhana, Siti Rusdianto Rusdianto, Rusdianto Saepudin Saepudin Sahala, Fika Sahetapy, Revy Ravly Sabbathino Saifuddin Fahri Saifullah, Shoffan Santoso, Achmad Erwin Saputra, Marwan Adi Sari, Niken Purnama Satria, Irwan Satrianto, Muhammad Ditya Sela Kong Setiawan, Alfon Sholehah, Inayatu Sirajuddin M, Sirajuddin M Sirajuddin Sirajuddin Sisilia, Debbi Slamet Untung Sri Sofiati Umami, Sri Sofiati Sukmawati, Ade Irma Sukran, Sukran Suparji, Muhamad Supratman Supratman, Supratman Suradi, Ahmad Surahman, Iman Suranda, Novalyo Suryansah Sutopo, Joko Toni, Afri Andrean Topik Hidayat Toron, Yustinus S. Toyibi, Dzurriyun Tri Agustina, Tri Tri Sunaryo Tri Widodo Trisnantari, Tamaratritania Citta Viana Novia Wahyudin Wahyudin Walid, Ahmad Warsyah, Idi Widodo, Rakhmat Sigit Wijaya, Panji Windi Maharani Wiratama, Ihsan Yonani, Sarmi Yoo, Ri Yudhi Setiawan Yul Alfian Hadi . Zuhut Ramdani