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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) HAYATI Journal of Biosciences Indonesian Journal of Electronics and Instrumentation Systems Journal of Tropical Life Science : International Journal of Theoretical, Experimental, and Applied Life Sciences JURNAL KIMIA SAINS DAN APLIKASI Jurnal Kajian Ilmiah Akuntansi Fakultas Ekonomi UNTAN (KIAFE) Mechatronics, Electrical Power, and Vehicular Technology Competitor : Jurnal Pendidikan Kepelatihan Olahraga BERKALA SAINSTEK Biosfer: Jurnal Tadris Biologi Rekayasa Mesin World Chemical Engineering Journal ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika Daya Saing : Jurnal Ilmu Manajemen Journal of Mechanical Engineering Science and Technology SASINDO Jurnal Manajemen Pendidikan Mimbar Agribisnis: Jurnal Pemikiran Masyarakat Ilmiah Berwawasan Agribisnis AGRIKAN Jurnal Ilmiah Agribisnis dan Perikanan Jurnal Ilmiah Universitas Batanghari Jambi JTERA (Jurnal Teknologi Rekayasa) Jurnal Agroqua: Media Informasi Agronomi dan Budidaya Perairan STATOR: Jurnal Ilmiah Mahasiswa Teknik Mesin Jurnal Skala Kesehatan Jurnal Basicedu Jurnal Pengabdian Magister Pendidikan IPA Journal of Innovative Science Education Jurnal Abdimas PHB : Jurnal Pengabdian Masyarakat Progresif Humanis Brainstorming Pena Justisia: Media Komunikasi dan Kajian Hukum Zonasi: Jurnal Sistem Informasi Jurnal ABDINUS : Jurnal Pengabdian Nusantara Budimas : Jurnal Pengabdian Masyarakat Community Development Journal: Jurnal Pengabdian Masyarakat As Sibyan : Jurnal Kajian Kritis Pendidikan Islam dan Manajemen Pendidikan Dasar J-PEN Borneo : Jurnal Ilmu Pertanian Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Jurnal Dinamika Sosial Ekonomi International Journal of Mechanical Engineering Technologies and Applications (MECHTA) Operations Research: International Conference Series Jurnal Agrimanex: Agribusiness, Rural Management, and Development Extension Dharmas Education Journal (DE_Journal) COMMUNITY : Jurnal Pengabdian Kepada Masyarakat Solo Journal of Anesthesi, Pain and Critical Care Humantech : Jurnal Ilmiah Multidisiplin Indonesia SinarFe7 Jurnal Ilmiah SOSIO AGRIBIS Generics: Journal of Research in Pharmacy Teknika Greensphere: Journal of Environmental Chemistry Agrikan: Jurnal Agribisnis Perikanan Makara Journal of Technology Jurnal Basicedu Legal Studies Journal SWARNA Indonesian Journal of Community Empowerment MASALIQ: Jurnal Pendidikan dan Sains ARZUSIN: Jurnal Manajemen dan Pendidikan Dasar Al -Athfal Indonesian Research Journal on Education Health Research Journal of Indonesia Sasindo : Jurnal Pendidikan Bahasa dan Sastra Indonesia Jurnal Abdimas Terapan Global Education Journal Abdinesia: Jurnal Pengabdian Kepada Masyarakat Journal of Geographical Sciences and Education Qanuni : Jurnal of Indonesian Islamic Family Law TPACK-IPA (Technological Pedagogical Content Knowledge) Maximus: Journal of Biological and Life Sciences Bulletin of Islamic Research Generics : Journal of Research in Pharmacy Jurnal Analisis Bisnis Ekonomi
Anam, M. Khairul
Research Centre for Biotechnology, Indonesian Institute of Sciences, Cibinong - Bogor, 16911, Indonesia
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E-Recrutment Sistem Pendukung Keputusan Penerimaan Pegawai BMT NU Cabang Gayam dengan Metode Simple Additive Weighting Anam, Khairul; Susanto, Adi; Baijuri, Achmad
Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Vol 10, No 2 (2025): Edisi Agustus
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/jurasik.v10i2.890

Abstract

In today's digital era, the employee recruitment process which is still carried out manually and subjectively is a challenge for companies, including Islamic microfinance institutions such as BMT NU Gayam Branch. A personal approach in employee selection often results in decisions that are less precise and not based on measurable criteria. To overcome this problem, this study aims to design a web-based Decision Support System (DSS) that can help the selection process for new prospective employees objectively and efficiently. This system utilizes the Simple Additive Weighting (SAW) method combined with criteria weighting using the Analytical Hierarchy Process (AHP) method. The research process was carried out using a qualitative approach, through observation, interviews, and documentation studies. Meanwhile, the system development method used is the Waterfall model, which consists of the stages of needs analysis, design, implementation, testing, and maintenance. The results of this study indicate that the application of DSS with the SAW-AHP method can improve selection accuracy, accelerate decision, making, and reduce the influence of subjectivity in the assessment of prospective employees. With this system, BMT NU Gayam Branch is expected to obtain human resources that are more in line with the needs of the organization.
Rancang Bangun Kerangka Kerja Aplikasi Mobile untuk Edukasi dan Pencegahan Stunting bagi Ibu Hamil Kahfi, Bung Ashabul; anam, khairul
SWARNA: Jurnal Pengabdian Kepada Masyarakat Vol. 4 No. 1 (2025): SWARNA : Jurnal Pengabdian Kepada Masyarakat, Januari, 2025
Publisher : LPPM Sekolah Tinggi Ilmu Ekonomi 45 Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55681/swarna.v4i1.1724

Abstract

Stunting merupakan isu kesehatan publik multidimensional yang menjadi penghambat serius bagi pembangunan sumber daya manusia di Indonesia. Pencegahan stunting yang paling efektif bertumpu pada intervensi selama periode 1000 Hari Pertama Kehidupan (HPK), dengan masa kehamilan sebagai fondasi utamanya. Namun, tantangan signifikan masih ada dalam mendiseminasikan edukasi kesehatan yang berkelanjutan, terpersonalisasi, dan mudah diakses oleh jutaan ibu hamil di seluruh nusantara. Perkembangan teknologi digital, khususnya mobile health (m-Health), menawarkan potensi besar untuk mengatasi kesenjangan ini. Artikel konseptual ini bertujuan untuk merancang dan mengelaborasi secara mendalam sebuah kerangka kerja aplikasi mobile yang komprehensif, berfokus pada edukasi dan pencegahan stunting untuk ibu hamil. Metode yang digunakan adalah perancangan model (design and development) yang didasarkan pada analisis kebutuhan melalui studi literatur ekstensif, perancangan sistem berbasis bukti (evidence-based design), dan penerapan prinsip-prinsip desain yang berpusat pada pengguna (user-centered design). Hasilnya adalah sebuah kerangka kerja terperinci untuk aplikasi bernama "ASA 1000 HPK" (Asupan, Stimulasi, Asah di 1000 Hari Pertama Kehidupan). Kerangka ini dibangun di atas empat pilar fungsional utama: (1) Modul Edukasi Terpersonalisasi yang menyajikan konten multimedia sesuai usia kehamilan; (2) Modul Monitoring Mandiri untuk pelacakan indikator kesehatan kunci; (3) Modul Dukungan & Konsultasi Hibrida yang mengintegrasikan dukungan digital dan manusia; serta (4) Modul Gamifikasi & Apresiasi yang dirancang untuk meningkatkan motivasi dan keterlibatan pengguna jangka panjang. Setiap fitur dalam kerangka kerja ini didukung oleh justifikasi ilmiah yang kuat, mengacu pada pedoman kesehatan nasional, teori perubahan perilaku, dan praktik terbaik dalam desain aplikasi kesehatan. Disimpulkan bahwa kerangka kerja "ASA 1000 HPK" ini dapat berfungsi sebagai cetak biru strategis bagi para pemangku kepentingan untuk mengembangkan alat bantu digital yang efektif, terukur, dan dapat diskalakan, guna meningkatkan literasi dan perilaku kesehatan maternal, yang pada akhirnya berkontribusi secara signifikan pada program nasional percepatan penurunan stunting.
THE EFFECTIVENESS OF TAHFIDZ MANAGEMENT AT PESANTREN AL-HUSAINY BIMA Anam, Khairul; Nurhasanah, Zakia; Al-Maulidi, Asrorul Fuad
Jurnal Manajemen Pendidikan Vol. 10 No. 3 (2025): Regular Issue
Publisher : STKIP Pesisir Selatan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34125/jmp.v10i3.762

Abstract

This study explores various aspects of Qur’anic memorization (tahfidz) management, including planning, organization, implementation, control, and other influencing factors. This research employs a qualitative case study approach, utilizing data collection techniques such as observation, interviews, and documentation. The research design follows a qualitative descriptive method, as the researcher aims to uncover facts and interpret the management of Qur’anic memorization at Al-Husainy Islamic Boarding School in Bima. The data were analyzed using the Miles and Huberman analysis model. The results of the study show that the Qur’anic memorization management implemented by Al-Husainy Boarding School in Bima has a social impact on the students within the pesantren environment. The students are motivated to take part in the tahfidz program, as it serves as an upgrading initiative for them. From a management perspective, this program enhances the quality of Qur’anic education for students by addressing common challenges such as poor recitation, unmet memorization targets, inconsistent memorization methods, and the selection of Qur’anic manuscripts. This study holds significant relevance in the context of Islamic education, as Qur’anic memorization is one of the core pillars of religious learning in Islam.
Pemantauan Perubahan Deformasi Tanah Tahun 2014–2024 Berbasis DInSAR di Kecamatan Cisarua Amaanah, Annisa; Sulastri, Ai; Alfarezy, Alif; Pitaloka, Ghea Redana; Anam, Khairul; Aliyan, Silmi Afina
Journal of Geographical Sciences and Education Vol 3 No 3 (2025): Journal of Geographical Sciences and Education
Publisher : PT. Pubsains Nur Cendekia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69606/geography.v3i03.304

Abstract

Cisarua District, situated on the Lembang Fault line, has a high risk due to its proximity to densely populated settlements and its potential for large-magnitude earthquakes. This study aims to analyze the deformation of the Lembang Fault in Cisarua District from 2014 to 2024 using Sentinel-1A and TerraSAR-X imagery data, as well as Digital Terrain Model (DTM) analysis from an Unmanned Aerial Vehicle, employing the high-resolution Differential Interferometric SAR (DInSAR) method. The deformation levels vary from low to high, with a dominance of moderate deformation levels. High deformation was identified on the north and northeast sides, adjacent to the active tectonic zone. The DTM analysis revealed a steep topographic gradient with an elevation of 975.9–1395 masl. The combination of deformation and steep topography indicates a significant risk of landslides. The results of this study are expected to assist in disaster mitigation in the Cisarua District due to the deformation of the Lembang Fault.
UNIVERSITY GARUT and UIN BANDUNG COMMUNITY SERVICE TEAMS COLLABORATE to RAISE STUDENTS' AWARENESS of CHOOSING HEALTHY SNACKS WISELY Lubis, Novriyanti; Wahyuningsih, Wahyuningsih; Belfa, Muhammad; Chandra, Mahesa Prana; Lindayani, Lindayani; Handayani, Niknik; Aulia, Naila Azqiatul; Anam, Khairul
Indonesian Journal of Community Empowerment (IJCE) Vol 6 No 3 (2025): Indonesian Journal of Community Empowerment (August)
Publisher : Fakultas Kewirausahaan Universitas Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35899/ijce.v6i3.1085

Abstract

Snacking at school is a common practice among students. The availability of snacks in the school environment cannot guarantee that all snacks are healthy. This outreach activity was conducted to increase the knowledge and awareness of students at SDN 1 Kadungora, encouraging them to be wiser in choosing the snacks they consume. Data collection methods included a pre-test and post-test. The material was delivered in the form of a lecture accompanied by PowerPoint slides and printed brochures. The outreach results showed an increase in the percentage of students' understanding of the definition of healthy snacks before the outreach: 82.4% before the outreach and 92.8% after the outreach. For healthy drinks, there was a 10.4% increase in knowledge, and 100% of students understood examples of healthy drinks. This indicates that the outreach activity was successful in educating students.
DETEKSI DEPRESI PADA SISWA BERBASIS WEB (STUDI KASUS: MTs TERPADU RAUDLATUL QUR’AN LAMONGAN) Sholihin, Miftahus; Leksana, Dinar Mahdalena; Hayati, Erna; Kholiq, Abdul; Zamroni, M. Rosidi; Anam, M. Khairul; Sulaiman, Akhmad Nurali; Umam, Moch. Zuhrul; Fatkhul U, M. Miftah; Prastowo, Diko
Jurnal Abdimas Terapan Vol. 3 No. 2 (2024): JURNAL ABDIMAS TERAPAN (MEI)
Publisher : Program Vokasi Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56190/jat.v3i2.58

Abstract

This Students' mental health in the school environment is becoming increasingly important. Depression, as a severe mental health disorder, can have a negative impact on students' well-being and academic achievement if it is not detected and treated appropriately and quickly. This service program aims to detect depression in MTs Roudlatul Qur'an students as early as possible to reduce the risk of ongoing depression. This can be done by building a website-based system that students can use to detect depression independently. This system was created to make it easier for students to recognize the early symptoms of depression by selecting the symptoms according to what they are experiencing. With this system, it is hoped that it can prevent depression as early as possible for students and teachers quickly and more efficiently, thereby reducing students who are at risk of experiencing depression. Apart from that, the system provides valuable information for students and teachers to understand depression more deeply and find ways to overcome it. Through this program, it is hoped that awareness of the importance of mental health in the school environment can increase and create a healthier and more supportive learning environment for all students.
Analisis Persepsi Konsumen dalam Pembelian Produk Otak-Otak Bandeng di Kabupaten Lamongan: Pendekatan IPA dan CSI Anam, M. Khairul; Muntalim, Muntalim; Wulandari, Suci
Jurnal Dinamika Sosial Ekonomi Vol. 24 No. 2 (2023): Jurnal Dinamika Sosial Ekonomi
Publisher : Agribusiness Department, Faculty of Agriculture, UPN "Veteran" Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Analisis mengenai persepsi dan perilaku konsumen dalam pembelian produk olahan perikanan, seperti otak-otak Bandeng di Kabupaten Lamongan, memiliki peran yang krusial dalam merancang strategi pemasaran dan segmentasi pasar yang tepat. Tujuan utama dari penelitian ini adalah untuk mengidentifikasi tingkat kepentingan setiap atribut produk dan mengukur tingkat kepuasan konsumen terhadap otak-otak Bandeng. Metode yang digunakan dalam analisis ini adalah Important Performance Analysis (IPA) dan Customer Satisfaction Index (CSI). Hasil analisis IPA menunjukkan bahwa secara keseluruhan, kinerja produk memiliki rata-rata skor sebesar 3.08, sedangkan tingkat kepentingannya mencapai rata-rata skor 3.44. Dalam matriks IPA, atribut ketersediaan stok menunjukkan tingkat kepentingan yang tinggi namun kinerjanya rendah (kuadran I). Atribut penyajian, kemasan, waktu pelayanan, dan ukuran memiliki tingkat kepentingan tinggi dan kinerja yang baik (kuadran II). Sementara itu, atribut seperti rasa, harga, kualitas, keamanan, dan kepercayaan memiliki tingkat kepentingan dan kinerja yang rendah sehingga memerlukan perbaikan (kuadran III). Atribut kemudahan bertransaksi dianggap kurang penting dan tidak perlu peningkatan (kuadran IV). Hasil perhitungan Customer Satisfaction Index (CSI) menunjukkan bahwa tingkat kepuasan konsumen terhadap pembelian otak-otak Bandeng mencapai nilai 68.5%, yang berada dalam rentang 0.66 hingga 0.80. Ini mengindikasikan bahwa konsumen merasa puas dengan produk tersebut. Penelitian ini memberikan kontribusi penting dengan menyajikan alternatif atribut yang dapat digunakan oleh konsumen dalam memutuskan pembelian produk otak-otak Bandeng, baik melalui saluran offline maupun online.
Integrasi Robot Lengan Beroda Holonomic dan Pengindraan Visual Menggunakan Yolov5 untuk Pemilah Sampah Chaidir, Ali Rizal; Herdiyanto, Dedy Wahyu; Anam, Khairul
IJEIS (Indonesian Journal of Electronics and Instrumentation Systems) Vol 15, No 1 (2025): April
Publisher : IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ijeis.103301

Abstract

The issue of waste management has become a critical topic, particularly in the sorting process, which relies on human labor and poses hygiene risks and inaccuracy. Several technologies have been explored to address this problem, including robotic arms with visual sensing, which are widely used but face challenges such as limited working areas and relatively complex installation processes. This study develops a waste-sorting robot based on a holonomic-wheeled robot integrated with visual sensing and the YOLOv5 algorithm for waste classification. The robot is equipped with a vacuum gripper for waste pickup and placement, as well as sensors for navigation and position control. Tests were conducted on four types of waste: bottles, leaves, metals, and paper. The results demonstrate a classification accuracy rate of 100%, with an average waste placement success rate of 90% for leaves and paper, and 80% for bottles, influenced by the surface characteristics of the waste and the consistency of the robot's positioning. This robotic system offers enhanced efficiency and accuracy compared to manual methods, although there remains room for improvement in the gripping mechanism and synchronization of the robot's movements. Overall, the robot system shows performance with accuracy above 80% with a wider working area than using a robot arm.
OPTIMALISASI ALGORITMA SUPPORT VECTOR MACHINE PADA ASPECT-BASED SENTIMENT ANALYSIS MENGGUNAKAN GRIDSEARCHCV Saputra, Eko Ikhwan; Anam, M. Khairul; Yenni, Heda; Hamdani, Hamdani; Zamsuri, Ahmad
ZONAsi: Jurnal Sistem Informasi Vol. 7 No. 1 (2025): Publikasi artikel ZONAsi: Jurnal Sistem Informasi Periode Januari 2025
Publisher : Universitas Lancang Kuning

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31849/zn.v7i1.17800

Abstract

Support Vector Machine (SVM) merupakan salah satu algoritma Machine Learning yang umum digunakan untuk menyelesaikan permasalahan klasifikasi. SVM sangat baik digunakan untuk klasifikasi biner, tetapi masih kurang optimal dalam melakukan klasifikasi multi-class. SVM masih mendapatkan akurasi yang rendah dalam melakukan klasifikasi multi-class, rentang akurasi yang didapatkan sekitar 52% - 62%. Ketidak konsistenam SVM dalam melakukan klasifikasi multi-class perlu dilakukan perbaruan agar lebih baik lagi. Penelitian ini menggunakan dataset opini masyarakat tentang Pariwisata Yogyakarta, label dari dataset adalah representasi dari wisatawan. Jumlah data wal yang diperoleh adalah 4121 baris, memiliki 5 label dalam hal ini pelabelan Aspect-Based Sentiment Analysis. Penelitian ini memiliki tahpaan data acuisition, pre-processing data, feature extraction, feature selection, modelling dan evaluasi. Penelitian ini melakukan percobaan pada 2 kernel SVM yang berbeda, yaitu linear dan rbf. Kemudian dilakukan hyperparameter tuning menggunakan GridSearchCV untuk mendapatkan parameter terbaik dari algoritma SVM. GridSearchCV dapat meningatkan akurasi SVM dengan kernel linear dengan nilai peningkatan tertinggi nya mencapai 7%. Akurasi pada kernel Rbf lebih tinggi yaitu 67,4% setelah dilakukan hyperparameter tuning.
Pengembangan Penilaian Pembelajaran Pendidikan Agama Islam Berbasis Turnitin, Scribo AI, dan ChatGPT di Pesantren Raudlatul Hasaniyah: Implementasi dan Strategi pada Siswa Madrasah Aliyah Sofa, Ainur Rofiq; Anam, Khairul; Ramadhani, Khoirul; Hasan, Miftahul; Amin, Moh. Hasan Shodiqil; Helmi, Muhammad
Indonesian Research Journal on Education Vol. 5 No. 2 (2025): Irje 2025
Publisher : Fakultas Keguruan dan Ilmu Pendidikan, Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/irje.v5i2.2270

Abstract

Penilaian dalam pembelajaran Pendidikan Agama Islam (PAI) merupakan aspek penting dalam mengukur efektivitas proses pembelajaran dan pemahaman peserta didik. Seiring dengan perkembangan teknologi, berbagai perangkat berbasis kecerdasan buatan seperti Turnitin, Scribo AI, dan ChatGPT dapat dimanfaatkan untuk meningkatkan objektivitas, efisiensi, dan kualitas penilaian pembelajaran. Penelitian ini bertujuan untuk mengembangkan model penilaian pembelajaran PAI dengan memanfaatkan ketiga teknologi tersebut di Pesantren Raudlatul Hasaniyah, khususnya bagi siswa Madrasah Aliyah. Penelitian ini menggunakan metode kualitatif dengan pendekatan deskriptif. Pengumpulan data dilakukan melalui wawancara, observasi, dan analisis dokumen untuk mengevaluasi efektivitas penggunaan teknologi dalam proses penilaian. Hasil penelitian menunjukkan bahwa penggunaan Turnitin dapat membantu dalam mendeteksi tingkat plagiarisme, Scribo AI dalam memberikan umpan balik otomatis pada tugas tulisan, serta ChatGPT dalam memberikan penjelasan tambahan dan bimbingan belajar bagi peserta didik. Implementasi teknologi ini diharapkan dapat meningkatkan kualitas pembelajaran PAI yang lebih objektif, interaktif, dan adaptif terhadap perkembangan zaman.
Co-Authors Abdul Kholiq Abdul Rozaq Achmad Rizal Adi Pramono, Mahasyin Adi Santoso Adi Susanto Adystia, Yusdike Ahmad Rofii Ahmad Zamsuri, Ahmad AHMADI, SOFYAN Ainur Rofiq Sofa Al-Maulidi, Asrorul Fuad Alfarezy, Alif Ali Rizal Chaidir Aliyan, Silmi Afina Amaanah, Annisa Amin Pujiati Amin, Moh. Hasan Shodiqil Amri, Faesal Anggraeni, Sofie Ankardiansyah Pandu Pradana Aozora Tawazun, Jaisyi Ardhiansyah, Dheny Dwi Ardian Syah, Khalif Ari Wahjudi ARIEF RIO MAULANA Arif Hana Sasono, Muchamad Aris Zainul Muttaqin Arizal Mujibtamala Nanda Imron Armila, Sely Asep Akmal Aonullah Asep Gana Suganda Aswan Aswan Aulia, Naila Azqiatul Ayu Purnamasari Azizah, Luluk Nur Azzahra, Salsabila Bahrul Ilmi, Muhammad Baihaki, Raihan Baijuri, Achmad Bambang Wahono Belfa, Muhammad Bhiaztika Ristyanadi Castellini, Claudio Chandra, Mahesa Prana Dahlia Dahlia Dedy Wahyu Herdiyanto Dewi Kusrini Dinar Mahdalena Leksana 1 Dodi Setiabudi Dwi Hudiyanti DWI SUSILANINGSIH EDI SAPUTRA Ekawati, Nuraini Elin Yulinah Sukandar Endah Puji Septisetyani, Endah Puji Endah Sih Prihatini Erna Hayati, Erna Fadlurahman, Muhammad Faisol Masud Faridah, Indah Fathiyyah, Kamiilah Fatkhul U, M. Miftah Fauziah, Fenty Febrian, Herlin Firdausyah, Nalurita Firdauzi, Annisa Fitri Wulandari Fitri, Zilvanhisna Emka Fitria Dina Riana GAMMA ADITYA RAHARDI Habibie, David Fuad Habriyanto Habriyanto Hadi, Vanesha Astri Hadiwijaya Louk, Michael Johannes Haerani, Ega Devana Hamdani Hamdani Hana Sasono, Muchamad Arif Handayani, Niknik Hanifah, Afnan Nur Hanik, Elya Umi Haq, Moh. Wazirul Hariyadi Hartati Wahyuningtyas, Agustina Shinta Hartini, Dina Harvianto, Yudo Harwati, Theresia Umi Hasan, Miftahul Hasyim Helnanelis, Helnanelis Herdhata Agusta Heri Heriyanto Hersugondo Hersugondo Hidayah, Intan Nur Hidayati, Nafisah Arina Hildayani, Suci Himawan, Alayna Lillahida Indri Ika Purnamasari Ike Fibriani Ilham, Syarif Muhammad Illahi, Rhochmad Wahyu Ilmi, M. Bahrul Irawandi, Hamzan Istianah Istianah Jalpi, Agus Jamiliya Susantin Jasminto Kahfi, Bung Ashabul Komang Alit Paramitasari Kuniaji, Ardana Kustanto, M Nurkoyim L Broto S Kardono Lindayani, Lindayani M. Rosidi Zamroni M. Ulul Albab Ma’arif, Mochammad Syamsul Mahmudah Mardhiyah, Chaira Nisaa Marlina Kamelia Mas'ud, Faisol Mas’ud, Faisol Mas’ud, Faisol MG Isworo Rukmi Miftahus Sholihin Moch. Syamsul Ma'arif Mochamad Edoward Ramadhan Mochamat, Mochamat Mohammad Syaffruddin Kuryanto Mubarok, Muhammad Aziz Nur Muhammad Ammar Muhammad Aniq Muhammad Hasjim Bintoro Djoefrie Hasjim Bintoro Djoefrie Muhammad Helmi Muhammad Wahyudi MUKHRODI, FAUZAN AWWAL Muntalim, Muntalim Nahar, Thohirotun Nahela, Safri Nanda Imron, Arizal Mujibtamala NEGARA, MOHAMMAD AGUNG PRAWIRA Neng Herawati, Neng Ningtyas, Rosidah Wahyu Norsita Agustina, Norsita Nova Nova Novriadi, Novriadi Novriyanti Lubis, Novriyanti Nurfadillah, Mursidah Nurhasanah, Zakia Pamungkas, Whilis Aziz Panji Pangeran, Khrisna Parman Komarudin Parmin - Parsaoran Siahaan Pitaloka, Ghea Redana Popi Hadi Wisnuwardhani, Popi Hadi Prabaswara, Ilham Prabhata, Wimzy Rizqy Pramesti Dewi Prasetyaningrum, Pekik Wiji Prastowo, Diko Prihantini, Campina Illa Prihatin, Endah Sih Purwanti, Defiya Putra, Aviq Nurdiansyah Putu Hadi Setyarini Rachmi Masnilah Rahmawati, Aisyah Muthiah rahmawati, meidina Rahmayanti, Mira Ramadani, Ratna Dwi Ramadhani, Khoirul Ramadhani, Mirza RATIH ASMANA NINGRUM Renitasari, Diana Putri Retno Sri Iswari Ridwan Sinurat Rika Dwi Hidayatul Qoryah Risa Wentasari Rizal, Naufal Ainur Rohana, Evieta Rosyadi, Imron - Royhanshah, Moch Freskha Fauzi RR. Ella Evrita Hestiandari Sabar Nurohman Sabrina, Nidia Fitri Salim, Taufik Ibnu Santoso Mulyadi Saputra, Eko Ikhwan Sasikirana, Widyandani Sasono, Muchamad Arif Hana SATRIYO, MOHAMAD BINAWAN Setiandari LO, Elsi Setyana, Sukma Febri Sidiq, Egi Nur Muhamad Simanjuntak, Bungaran David Siti Harnina Bintari Sonief, Achmad As’ad Sridanti, Irma Lisa Suci Wulandari Sudomo, Joko Sudradjat Sugiono Sugiono Suhendar Suhendar, Suhendar Suhendi, Endang Sulaiman, Akhmad Nurali Sulastri, Ai Sumardi Sumardi . Suryanto, Deny Suyoko, Ahmad Syarifudin, H.E. Sylvana Yaka Saputra TATANG HIDAYAT, TATANG Toliang, Ermina Tsania, Ayu Umam, Moch. Zuhrul Utami, Widyaningrum Uzma, Syafia Farihatul Vera Anitra Vivitri Dewi Prasasty Wahyu Muldayani Wahyuningsih Wahyuningsih Wardana, Muhammad Khristamto Aditya Widjonarko . Widya Cahyadi Wijaya, Temmy Yana Rubiyana, Yana Yanova, Muhammad Hendri Yanuandri Putrasari Yati Nurhayati Yenni, Heda Yohanes Adi Nugroho YOPI YOPI Yunarty Yunarty, Yunarty Zadzali, Helmi Zain, Diky Zehru