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All Journal International Journal of Public Health Science (IJPHS) Jurnal Pendidikan Akuntansi Indonesia Indonesian Journal of Educational Studies Tadris: Jurnal keguruan dan Ilmu Tarbiyah Lentera Pendidikan : Jurnal Ilmu Tarbiyah dan Keguruan Assets : Jurnal Ekonomi, Manajemen dan Akuntansi Equilibrium JURIKOM (Jurnal Riset Komputer) Jurnal Pendidikan dan Konseling Klasikal: Journal of Education, Language Teaching and Science Journal of Applied Science, Engineering, Technology, and Education Jurnal Ilmiah Akuntansi Peradaban Jurnal Teknik Informatika (JUTIF) Mattawang: Jurnal Pengabdian Masyarakat PENGABDI: Jurnal Hasil Pengabdian Masyarakat Jurnal Dedikasi Panrannuangku Jurnal Pengabdian Masyarakat EduLine: Journal of Education and Learning Innovation ADMA: Jurnal Pengabdian dan Pemberdayaan Masyarakat Jurnal Iqtisaduna Jurnal Pengabdian Masyarakat Formosa (JPMF) Chemistry Education Review Online Learning in Educational Research Seminar Nasional Pengabdian Kepada Masyarakat Jurnal Ilmiah Edutic : Pendidikan dan Informatika Indonesian Journal of Fundamental Sciences Journal of Economic Education and Entrepreneurship Studies Teknovokasi : Jurnal Pengabdian Masyarakat Jurnal Pendidikan Terapan Vokatek : Jurnal Pengabdian Masyarakat Information Technology Education Journal Journal of Embedded Systems, Security and Intelligent Systems Jurnal Kemitraan Responsif untuk Aksi Inovatif dan Pengabdian Masyarakat Journal of Deep Learning, Computer Vision and Digital Image Processing Jurnal Polimesin Jurnal MediaTIK Jurnal MEKOM: Media Komunikasi Pendidikan Kejuruan Media Elektrik Study of Scientific and Behavioral Management (SSBM) Jurnal Sipakatau Journal of Economic Education and Entrepreneurship Studies Journal of Education for Creativity and Innovation JESI : Journal of Engineering Service and Innovation
M. Miftach Fakhri
Universitas Negeri Makassar
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PKM Pelatihan Konseling Sebaya untuk Mahasiswa Jurusan Teknik Informatika dan Komputer Dwi Rezky Anandari Sulaiman; Sanatang; M Miftach Fakhri; Shabrina Syntha Dewi; Della Fadhilatunisa
Vokatek: Jurnal Pengabdian Masyarakat Volume 1: Issue 3 (Oktober 2023)
Publisher : Sakura Digital Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61255/vokatekjpm.v1i3.243

Abstract

The purpose of implementing Peer Counseling Training for students is to provide knowledge and skills on how to conduct peer counseling and to instill an understanding that peer counseling is a form of social support for fellow students. The training method employs structured learning with the stages of preparation, assessment, implementation, and evaluation (3PE). The training activities were attended by 26 student representatives who would subsequently provide support to new students. The outcomes of the training indicate that students are capable of understanding the benefits and stages of implementing peer counseling through the conducted simulations. Evaluation results demonstrate that students comprehend that the execution of peer counseling serves as a form of social support for their fellow students.
Dari Pengetahuan ke Tanggung Jawab: Penguatan Kognitif dan Etika Artificial Intelligence Mahasiswa melalui Pembelajaran Berbasis Proyek Kolaboratif M. Miftach Fakhri; Furqan Ali Yusuf; Dewi Fatmarani Surianto; Ahnaf Riyandirga Ariyansyah Putra Helmy; Della Fadhilatunisa
Vokatek: Jurnal Pengabdian Masyarakat Volume 2: Issue 3 (Oktober 2024)
Publisher : Sakura Digital Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61255/vokatekjpm.v2i3.522

Abstract

The low cognitive skills and ethical understanding of students in utilizing AI technology are major challenges in higher education in the digital era. This community service aims to improve these aspects through a Participatory Action Research (PAR) approach based on collaborative project-based learning. The method consists of four stages: building collaborative relationships between students, lecturers, and the campus community; implementing real-case-based projects supported by intensive training on AI, ethics, and the preparation of Student Creativity Program Proposals (PKM); reflective analysis of student ideas; and proposal presentations for evaluation. The results show significant improvements in pre-test and post-test scores, both in cognitive aspects (15.52 to 20.52) and ethical understanding (15.52 to 19.31). The implication of this service is that collaborative project-based learning effectively builds students' cognitive and ethical competencies holistically and can be adopted as a learning model to prepare students for responsibly facing technological challenges.
Pemanfaatan Kecerdasan Artifisial Generatif sebagai Co-Author Asistif dalam Penulisan Artikel Ilmiah Mahasiswa dengan Pendekatan Classroom Action Research M. Miftach Fakhri; Dary Mochamad Rifqie; Asham Bin Jamaluddin; Wahyu Hidayat M; Muhalim; Pramudya Asoka Syukur
Vokatek: Jurnal Pengabdian Masyarakat Volume 3: Issue 1 (Februari 2025)
Publisher : Sakura Digital Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61255/vokatekjpm.v3i1.611

Abstract

Banyak mahasiswa mengalami kesulitan dalam menulis artikel ilmiah berbasis permasalahan nyata karena kurangnya kemampuan berpikir sistematis, reflektif, dan keterampilan literasi digital. Penelitian ini bertujuan untuk meningkatkan kemampuan menulis ilmiah mahasiswa melalui integrasi teknologi kecerdasan artifisial generatif dalam proses pembelajaran. Metode yang digunakan adalah Classroom Action Research (CAR) yang dilaksanakan dalam dua siklus terhadap 31 mahasiswa Program Studi Pendidikan Teknik Informatika dan Komputer pada matakuliah Inovasi Teknologi, Universitas Negeri Makassar . Hasil penelitian menunjukkan adanya peningkatan signifikan dalam kualitas penulisan artikel ilmiah mahasiswa dari siklus pertama ke siklus kedua, khususnya dalam hal relevansi topik, struktur artikel, dan pemanfaatan kecerdasan artifisial generatif. Mahasiswa juga menunjukkan kemampuan yang lebih baik dalam menyusun argumen kritis, menyunting hasil keluaran Kecerdasan Artifisial, serta menyusun kajian pustaka yang lebih relevan dan mendalam. Selain itu, penggunaan kecerdasan artifisial dilakukan secara reflektif dan etis, di mana mahasiswa tidak hanya menerima hasil dari teknologi, tetapi juga mampu mengkritisi dan mengembangkannya sesuai konteks akademik. Integrasi kecerdasan artifisial generatif dalam pembelajaran terbukti efektif dalam mendorong mahasiswa menjadi penulis ilmiah yang mandiri, etis, dan berorientasi pada pemecahan masalah nyata.
Pelatihan SmartPLS Berbasis Online sebagai Upaya Peningkatan Kompetensi Analisis Data Mahasiswa Annajmi Rauf; Andi Dio Nurul Awalia; Rosidah; Irwansyah Suwahyu; Asham Bin Jamaluddin; M. Miftach Fakhri
Vokatek: Jurnal Pengabdian Masyarakat Volume 3: Issue 3 (Oktober 2025)
Publisher : Sakura Digital Nusantara

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

Abstract

Percepatan transformasi digital di perguruan tinggi menuntut kesiapan infrastruktur dan ketersediaan materi pembelajaran yang relevan untuk mendukung proses belajar berbasis teknologi. Namun, berbagai laporan menunjukkan masih adanya kesenjangan akses teknologi dan materi digital yang memadai, sehingga berdampak pada rendahnya keterlibatan dan kepercayaan diri mahasiswa dalam mengikuti pelatihan online, termasuk pelatihan analisis data menggunakan software SmartPLS. Kondisi ini menegaskan perlunya kajian empiris mengenai peran Availability of Learning Materials (ALM) dan Accessibility and Connectivity (AC) terhadap tingkat Participant Engagement (PE) dengan Confidence (C) sebagai variabel psikologis yang berpengaruh. Penelitian ini menggunakan metode pre-experimental dengan desain One-Shot Case Study (X → O), di mana 62 mahasiswa menerima perlakuan berupa pelatihan SmartPLS dan kemudian mengisi kuesioner posttest. Hasil analisis deskriptif menunjukkan bahwa ALM berada pada kategori sangat baik, AC berada pada kategori baik, C meningkat meskipun belum optimal, dan PE berada pada kategori baik. Temuan ini menegaskan bahwa kualitas materi serta akses teknologi yang memadai berperan penting dalam membangun self-efficacy mahasiswa dan meningkatkan keterlibatan peserta pada pelatihan daring. Penelitian ini memberikan implikasi praktis bagi pengembangan pelatihan teknis berbasis teknologi, terutama pentingnya menyediakan materi komprehensif, memastikan dukungan konektivitas, serta menambah sesi praktik mandiri guna meningkatkan efektivitas pelatihan di masa mendatang.
Klasifikasi Penyakit Pada Padi Dengan Ekstraksi Fitur LBP dan GLCM Ananta Dwi Prayoga Alwy; M Syahid Nur Wahid; Bukhari Naufal Nur Ag; M Miftach Fakhri
Journal of Deep Learning, Computer Vision, and Digital Image Processing Volume 1 Issue 1 Maret 2023
Publisher : CV. Sakura Digital Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61255/decoding.v1i1.51

Abstract

Padi merupakan salah satu komoditas penting di Indonesia yang menjadi sumber utama pangan, namun sering terancam oleh berbagai penyakit yang dapat menyebabkan gagal panen. Deteksi dini penyakit pada padi sangat penting, namun sulit dilakukan secara manual oleh petani. Penelitian ini bertujuan untuk mengembangkan sistem klasifikasi penyakit pada tanaman padi menggunakan ekstraksi fitur GLCM (Gray Level Co-occurrence Matrix) dan warna. Metode yang digunakan meliputi akuisisi citra, segmentasi citra menggunakan Otsu thresholding, operasi morfologi dengan area-open, ekstraksi fitur LBP (Local Binary Pattern) dan GLCM, serta klasifikasi dengan algoritma Decision Tree. Dataset yang digunakan terdiri dari 120 citra daun padi yang terinfeksi oleh tiga jenis penyakit: Brown Spot, Hispa, dan Leaf Blast. Berdasarkan hasil pengujian, sistem klasifikasi ini berhasil mencapai akurasi sebesar 90%. Hasil ini menunjukkan bahwa kombinasi ekstraksi fitur LBP dan GLCM mampu meningkatkan akurasi dalam mendeteksi penyakit pada padi jika dibandingkan dengan metode K-Nearest Neighbor (KNN) yang hanya mencapai akurasi sekitar 77%. Meskipun demikian, kesalahan klasifikasi masih terjadi pada penyakit dengan gejala yang serupa, seperti Leaf Blast yang terkadang terdeteksi sebagai Brown Spot. Oleh karena itu, penelitian ini menyarankan pengembangan teknik ekstraksi fitur yang lebih kompleks atau penggabungan metode lain untuk meningkatkan akurasi sistem. Diharapkan, sistem ini dapat diimplementasikan di lapangan untuk membantu petani dalam mendeteksi dan menangani penyakit padi lebih cepat, meningkatkan hasil pertanian, serta ketahanan pangan di Indonesia.
How ChatGPT Usage and AI Over-Reliance Influence Student Integrity: The Moderating Role of Academic Misconduct Salam, Fitria Nur Dina; Rahman, Edi Suhardi; Fakhri, M. Miftach; Soeharto, Soeharto
Tadris: Jurnal Keguruan dan Ilmu Tarbiyah Vol 11 No 2 (2026): Tadris: Jurnal Keguruan dan Ilmu Tarbiyah
Publisher : Universitas Islam Negeri Raden Intan Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24042/tadris.v11i2.29449

Abstract

The rapid adoption of generative artificial intelligence in higher education has intensified debates about whether ChatGPT supports responsible learning or weakens academic integrity through over-reliance and misconduct. This study examined the direct effects of ChatGPT usage and AI over-reliance on student integrity and tested academic misconduct as a moderating variable. A quantitative cross-sectional survey was conducted with 571 Indonesian undergraduate students who had experience using ChatGPT or comparable AI tools for academic purposes. Data were collected using a validated 20-item questionnaire measured on a five-point Likert scale and analyzed through Partial Least Squares Structural Equation Modeling (PLS-SEM) with 5,000 bootstrap resamples. The results show that purposive ChatGPT usage positively predicts student integrity (β = 0.482, t = 10.419, p < .001), whereas AI over-reliance has a significant negative effect (β = -0.215, t = 3.853, p < .001). Academic misconduct also shows a significant direct path to integrity (β = 0.159, p = .005) and moderates the relationship between AI over-reliance and student integrity (β = 0.247, t = 5.143, p < .001), but it does not significantly moderate the ChatGPT usage-integrity relationship. These findings demonstrate that the ethical consequences of generative AI depend on how students engage with the technology. The study implies that universities should not merely prohibit AI use, but should develop clear AI governance, digital ethics instruction, and assessment designs that encourage critical, transparent, and accountable use of ChatGPT.
Pengaruh Model Blended Learning Terhadap Perkembangan Kognitif Mahasiswa Andika Isma; M. Miftach Fakhri; Muhammad Fardan; Ainun Zahra Adistia; Della Fadhilatunisa
Jurnal MediaTIK Volume 6 Issue 1, Januari (2023)
Publisher : Jurusan Teknik Informatika dan Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/mediatik.v6i1.1346

Abstract

Dengan merebaknya virus Covid-19 di dunia, mendatangkan dampak yang fundamental terhadap psikologis manusia, khususnya dibidang pendidikan. Sistem pembelajaran dirombak agar dapat disesuaikan dengan tuntutan yang ada, salah satunya dalam proses pembelajaran. Proses pembelajaran yang sebelumnya dilaksanakan secara tatap muka (synchronous) menjadi dominan dilaksanakan secara daring (asynchronous) atau bahkan dilaksanakan secara campuran (blended learning). Oleh karena itu, penelitian ini bertujuan untuk mengetahui pengaruh blended learning terhadap perkembangan kognitif mahasiswa. Penelitian ini menggunakan pendekatan kuantitatif dengan metode penelitian deskriptif. Populasi yang digunakan pada penelitian ini sebanyak 108 Mahasiswa Universitas Negeri Makassar. Data diperoleh dengan teknik pengumpulan data berupa penyebaran kuesioner melalui platform Google Form. Analisis data dilakukan menggunakan Skala Likert dengan tujuan untuk memberikan skor dalam bentuk skala pada setiap pernyataan dalam kuesioner. Hasil penelitian menunjukkan bahwa metode blended learning memiliki pengaruh yang baik terhadap perkembangan kognitif mahasiswa.
Minimizing Multiplication of Kernel Computation in Convolutional Neural Networks Using Strassen Algorithm Dary Mochamad Rifqie; Dewi Fatmarani Surianto; Sudarmanto Jayanegara; Muhammad Fajar B; M. Miftach Fakhri
Jurnal MediaTIK Volume 6 Issue 2, Mei (2023)
Publisher : Jurusan Teknik Informatika dan Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/mediatik.v6i2.1397

Abstract

Convolution neural networks (CNN) have been widely applied for the computer vision task. However, the success of CNN is limited by the computational complexity of the network, so it is difficult for the model to run the inference process in real time. In this paper, we apply Strassen matrix multiplication to reduce multiplications in convolution operations in CNN, in order to get faster execution for CNN. First, we transform the convolution operation into a matrix multiplication operation using the Toeplitz mapping method, then after that, we apply the Strassen method to these matrices. In the end, we compare the number of arithmetic operations (multiplication and addition) in the convolutional layer using Strassen and the standard algorithm. We apply this algorithm implementation in convolution layers 1 and 3 in LeNet-5 Architecture.
How are Mathematics Teachers Utilizing Technology in Mathematics Learning During the New Normal? Rosidah Rosidah; Fadhil Zil Ikram; M. Miftach Fakhri; Aprisal Aprisal; Nursyam Anaguna
Jurnal MediaTIK Volume 6 Issue 2, Mei (2023)
Publisher : Jurusan Teknik Informatika dan Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/mediatik.v6i2.1407

Abstract

The use of technology in Mathematics learning is crucial because it can provide convenience for the learning process. This research is a qualitative study that aims to describe how Mathematics teachers use existing technology or applications in Mathematics learning during the new normal. The participants were three high school Mathematics teachers who utilized technology in their learning. The analysis technique used refers to a three-stage analysis technique which includes data condensation, data display, and conclusion. The results showed that the use of applications available in Mathematics learning varied. Some utilized and maximized various kinds of application features, but some only took advantage of a few main features. There were teachers whose learning activities did not involve too much technology integration and there were also those that involved the use of various applications, even those specifically designed to learn mathematical concepts. The purposes of using applications that can help the teaching and learning process were very diverse. The use almost involves all activities in all teaching and learning processes such as creating, providing, and teaching the teaching materials, assessment, discussion, assignment, and announcements and reminders.
The Effect of Gamification-Based Online Learning on Student Learning Outcomes Asriadi; M. Miftach Fakhri; Jumadil Ahmad Safi’i; Muh. Alif; Della Fadhilatunisa
Jurnal MediaTIK Volume 7 Issue 1, Januari (2024)
Publisher : Jurusan Teknik Informatika dan Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/mediatik.v7i1.1439

Abstract

New things are starting to emerge that were not previously considered due to the COVID-19 pandemic, one of which is the shift to online learning. The low level of student participation during the pandemic is a global issue, not limited to Indonesia. One approach that can be used to address this issue is the gamification of online learning. The learning outcomes are essentially the measurement of students' success and achievements in the learning process. Therefore, the relationship between the gamification approach and learning outcomes in online education is a phenomenon that we can understand and further examine. This research is of a quantitative nature with a descriptive research design (data collection, analysis, and presentation). The population and sample are active enrolled students, and the data is collected widely online. The instrument used is a research questionnaire with the data collection technique involving the analysis of questionnaire responses distributed through Google Forms, using a Likert scale model ranging from very positive to very negative. Descriptive techniques involve statistical and correlational methods. The abundance of responses from students indicates that gamified online learning has the potential to significantly influence students' learning outcomes.
Co-Authors A. Nurul Uswatun Hasanah A.M Yusran Mazidan Abdul Muis Mappalotteng Adiba, Fhatiah Aditya Alamsyah Syarif Aditya, Roby Agusnaya, Nurrahmah Ahmad Fadhil Imran Ahmad Fadhil Imran Ahmad Siddiq Mappatunru Ahmar, Ansari Saleh Ahnaf Riyandirga Ariyansyah Putra Helmy Ainun Zahra Adistia Akbar, Muh. Akhmad Affandi Akmal Hidayat Akmal Hidayat Akmal Hidayat Alya Olivia Amelia Syamsuddin Aminuyati Amiruddin Amri Rahman Amukune, Stephen Ana Sulistiana Alwi Ananta Dwi Prayoga Alwy ANDI ABIDAH Andi Akram Nur Risal Andi Baso Kaswar Andi Baso Kaswar Andi Dio Nurul Awalia Andi Dio Nurul Awalia Andi Dio Nurul Awalia Andi Muhammad Fadlih Andi Naila Quin Azisah Aliasyahbana Andi Naila Quin Azisah Alisyahbana Andi Nailah Quin Azisah Alisyahbana Andika Isma Annajmi Rauf Annajmi Rauf Anwar Wahid Aprilianti Nirmala S Aprilianti Nirmala S Aprilianti Nirmalasari Aprisal, Aprisal Arifiyanti, Fitria Arsyanda Arsyanda Arya Putra Abshari Asham Bin Jamaluddin Asis Nojeng Asoka Syukur, Pramudya Asri Ismail Asriadi Asriadi Asriadi Asriadi Aswi, Aswi Auliyanti Sahril Nurfadhilah Awalia, Andi Dio Nurul Awaliah Fitri Nur Ananda Awaluddin Yunus Baso, Fadhlirrahman Bukhari Naufal Nur Ag Dahniar Dary Mochamad Rifqie Dary Mochamad Rifqie Della Fadhilatunisa Desitha Cahya Devi Miftahul Jannah Devi Miftahul Jannah Dewi Fatmarani Surianto Dio Nurul Awalia, Andi Dirawan, Gufran Darma Djawad, Yasser Abd. Dwi Ihza Sari Akis Dwi Rezky Anandari Sulaiman Dwiasta, Andi Yusdy Edi Suhardi Rahman Elma Nur Jannah Elma Nurjannah Elma Nurjannah Ery Sugito Ery Sugito Fadhel Akbar Fadhil Zil Ikram Fadhilarahman Baso Faisal Faisal Faizal Arya Samman Fajriani Azis Fardan, Muhammad Farid Fajrin Fathahillah Fathahillah Fhatiah Adiba Fitria Arifiyanti Fitria Arifiyanti Fitria Arifiyanti Fitriyanty Dwi Lestary Fizar Syafaat Furqan Ali Yusuf Guillermo Bautista Hajar Dewantara Hajar Dewantara Harisma Dita Ansyar Harisma Dita Ansyar Dita Ansyar Hartono Hartono Hartono Hendra Jaya Hidayat M., Wahyu Ika Wahyu Pratiwi Ika Wahyu Pratiwi Ilma Wulansari Hasdiansa Indah Febriyani Asril Iriandy, Iriandy Irwansyah Suwahyu Irwansyah Suwahyu Jannah, Devi Miftahul Jumadil Ahmad Safii Jumadil Ahmad Safi’i Kelvianto Pratama Harum Kurnia Prima Putra La Ode Lisbar Linggi, Cantika Randa Lu'mu M. Al Ihlas M. Syahid Nur Wahid Mappeasse, Muhammad Yusuf Mardiyanah Nastah Mayasari Mayasari, Mayasari Miftahul Jannah , Devi Mudarris, Mudarris Muh Akbar B Muh Bhilal Halim Muh Idul Akbar Pratama Muh Juharman Muh. Alif Muh. Bhilal Halim Muh. Dadang Hawari Muh. Dadang Hawari Muh. Dadang Hawari Muh. Rahmat Wahyudi JY Muh. Sunan Jaya Irmawan Muhalim Muhammad agung Muhammad Akbar Amir Muhammad Alif Leo Muhammad Alif Leo Muhammad Alif Leo Muhammad Ansarullah S. Tabbu Muhammad Fadhil Hani Muhammad Fajar B Muhammad Fardan Muhammad Fardan Muhammad Fardan Muhammad Haristo Rahman Muhammad Ibrahim Muhammad Rakib Muhammad Safar Nur Muhammad Takwin Machmud Muhammad Yahya Muhammad Yusuf Mappeasse Muliana Mursalim Mushaf Nirmala S, Aprilianti Nirmala S., Aprilianti NIRMALA, PUTRI Nirmalasari, Aprilianti Novianti, Andi Fitri Nur Annafiah Nur Annafiah Nur Azizah Ayu Safanah Nur Fadhylah As Nur Qirani Ridhaihi Nur Rahmah Sari Nur Yahya Akhmad Nurdin Nurhayani Nurikhlas Noerpa Gunawan Nurikhlas Nurpa Gunawan Nuril Huda Nuril Huda Nuril Huda Nurjannah, Elma Nurrahmah Agusnaya Nurrahmah Agusnaya Nurrahmah Agusnaya Nursyam Anaguna Poewanto, Bobby Pramudya Asoka Syukur Pramudya Asoka Syukur Pratiwi, Ika Wahyu Putri Nanda Sari Putri Nirmala Putri Nirmala Putri Nirmala Putri Ramdani Raden Mohamad Herdian Bhakti Radha Hasda Halfis Radhiah Raodahtul Jannah Rauf, Annajmi Rezka Haris Rezki Angriani Pratiwi Kadir Riana T Mangesa Ridwan Daud Mahande Rifqa Awalia Ririn Mardhani Syakur Roby Aditiya Rosidah Rosidah Rosidah Rosidah Rosidah Ryketeng, Masdar S, Aprilianti Nirmala Sabran Saharuddin R. Sokku Salam, Fitria Nur Dina Sanatang Sanatang Sanatang Sapto Haryoko Satnur, Muh. Alham Sembiring, Rinawati Setialaksana, Wirawan - Shabrina Syntha Dewi Shera Afidatunisa Shofiyah Rosyadah Sitti Hasbiah Sitti Muthmainnah Sitti Radhiah Soeharto Soeharto Soeharto Soeharto Sofyan, Vina Annisa Sudarmanto Jayanegara Sudarmanto Jayanegara Suhartono Suhartono Sulaiman, Dwi Rezky Anandari Syahrul Syahrul Syariati, Namla Elfa Tabash, Mosab Taufieq, Nur Anny S. Taufik Bahtiar Trisakti Akbar Utami, Nurul Mu'tia Vidiyanto, Vidiyanto Wahyu Hidayat M Wahyu Hidayat M Wahyu Ilahi SS Wahyudi Wahyudi Wulan Purnamasari Wulan Purnamasari S Wulandari WULANDARI Wulandari Wulandari Yuanita B Yuanita B Zainuddin, Zainuddin Zul Jalali Wal Ikram