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All Journal Tadris: Jurnal keguruan dan Ilmu Tarbiyah Jurnal Informatika dan Teknik Elektro Terapan Sistemasi: Jurnal Sistem Informasi Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Faktor Exacta Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Jurnal Eksplora Informatika JURNAL INSTEK (Informatika Sains dan Teknologi) Jiko (Jurnal Informatika dan komputer) Jurnal Nasional Pendidikan Teknik Informatika (JANAPATI) Digital Zone: Jurnal Teknologi Informasi dan Komunikasi JURIKOM (Jurnal Riset Komputer) KOMPUTIKA - Jurnal Sistem Komputer JURNAL MANAJEMEN BISNIS JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) TELKA - Telekomunikasi, Elektronika, Komputasi dan Kontrol Jurnal Informatika Global Jambura Journal of Electrical and Electronics Engineering Jurnal Informatika dan Rekayasa Perangkat Lunak Klasikal: Journal of Education, Language Teaching and Science Jurnal Teknik Informatika (JUTIF) Mattawang: Jurnal Pengabdian Masyarakat PENGABDI: Jurnal Hasil Pengabdian Masyarakat JUSTIN (Jurnal Sistem dan Teknologi Informasi) Brilliance: Research of Artificial Intelligence International Journal of Electronics and Communications Systems Jurnal Nasional Teknik Elektro dan Teknologi Informasi Online Learning in Educational Research Seminar Nasional Pengabdian Kepada Masyarakat Edukasia: Jurnal Pendidikan dan Pembelajaran Teknovokasi : Jurnal Pengabdian Masyarakat Vokatek : Jurnal Pengabdian Masyarakat Seminar Nasional Hasil Penelitian LP2M UNM Information Technology Education Journal Jurnal Pengabdian Masyarakat Madani: Jurnal Pengabdian Masyarakat dan Kewirausahaan Journal of Embedded Systems, Security and Intelligent Systems Ininnawa: Jurnal Pengabdian Masyarakat Journal of Security, Computer, Information, Embedded, Network and Intelligence System Jurnal Kemitraan Responsif untuk Aksi Inovatif dan Pengabdian Masyarakat Jurnal Informatika Polinema (JIP) Jurnal Informatika: Jurnal Pengembangan IT Jurnal Pengabdian Masyarakat dan Riset Pendidikan Journal of Progressive Information, Security, Computer and Embedded System Paramacitra : Jurnal Pengabdian Masyarakat Jurnal MediaTIK SISFOTENIKA Artificial Intelligence in Educational Decision Sciences
Dewi Fatmarani Surianto
Universitas Negeri Makassar
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Peningkatan Literasi Digital: Bebas dan Terbatas dalam Bermedia Sosial bagi Siswa UPT SPF SMPN 53 Makassar Nurul Fadhillah S; Dewi Fatmarani Surianto; Fitriani Dzulfadhilah; Siti Syarifah Wafiqah Wardah; Muhammad Akil Musi
Ininnawa : Jurnal Pengabdian Masyarakat Vol. 2 No. 1 (2024): Volume 02 Nomor 01 (April 2024)
Publisher : Program Studi Manajemen FEB UNM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26858/ininnawa.v2i1.2847

Abstract

Kemampuan literasi digital menjadi modal utama bagi semua orang yang kini terbiasa menghadapi banjir informasi di media sosial. Belum lagi dengan pesatnya perkembangan teknologi yang tidak disertai dengan kecakapan digital oleh penggunanya. Sebagai sekolah yang berada di ibu kota Sulawesi Selatan, para siswa UPT SPF SMPN 53 Makassar memiliki akses lebih mudah terhadap internet. Akses ini mendukung mereka dalam berinteraksi dengan siapa saja lewat media sosial pribadinya. Peserta pada kegiatan ini berjumlah 56 orang siswa UPT SPF SMPN 53 Makassar. Tujuan dari Pengabdian kepada Masyarakat ini untuk memberikan pembekalan kepada peserta mengenai literasi digital yang fokus pada digital culture, dan tentang kebebasan berpendapat. Peserta juga diberikan pengetahuan tentang hal yang harus diperhatikan sebelum menulis dalam media sosial, akibat jika melakukan ujaran kebencian kepada orang lain, beberapa pertimbangan sebelum berkomentar pada akun media sosial orang lain, etika berpendapat dan mengirim komentar dalam media sosial. Metode pelaksanaan yang digunakan dalam kegiatan ini adalah pre-test untuk mengetahui pemahaman awal, dilanjutkan dengan ceramah (penyajian materi), diskusi dan tanya jawab, serta evaluasi. Hasil dari kegiatan pengabdian ini adalah adanya peningkatan pengetahuan yang terjadi kepada peserta meliputi literasi digital, digital culture, serta hal-hal yang harus perhatian saat berkomentar dalam media sosial. Peserta juga meningkat kesadarannya untuk berhati-hati dalam berkomentar di media sosial.
Digitalisasi Melukis Menggunakan Aplikasi Sketchbook Pada Siswa IX SMPN 25 Cenrana Akmal, Muhammad Syafruddin; S, Nurul Fadhillah; Surianto, Dewi Fatmarani; Adnas, Diny Anggriani
Jurnal Kemitraan Responsif untuk Aksi Inovatif dan Pengabdian Masyarakat Volume 1 Issue No. 2: January 2024
Publisher : Lontara Digitech Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61220/kreativa.v1i2.20243

Abstract

Seni lukis telah menjadi bagian integral dalam kurikulum. Pada banyak sekolah, termasuk SMPN 25 Cenrana di Kabupaten Maros, Sulawesi Selatan, metode pengajaran seni lukis ini masih mengadopsi pendekatan konvensional. Observasi yang dilakukan oleh guru mata pelajaran seni budaya SMPN 25 Cenrana memberikan gambaran bagaimana metode pengajaran tersebut cenderung monoton dan belum sepenuhnya memanfaatkan potensi literasi digital guna mendukung pembelajaran. Pelatihan ini hadir untuk memperkenalkan aplikasi Sketchbook yang bisa diakses oleh siswa kelas IX untuk mulai melukis secara digital menggunakan media. Rangkaian kegiatan dilaksanakan dalam bentuk luring dan daring pada 1 Agustus 2023 hingga 5 September. Tahapannya mulai dari pembukaan dan pre-test kepada siswa, penyajian materi, praktik menggunakan Sketchbook, konsultasi karya, hingga pelaksanaan post-test. Penggabungan pertemuan luring dan daring dalam kegiatan ini dilakukan guna memaksimalkan kesempatan belajar siswa. Alhasil, terlihat peningkatan persentase pengetahuan sebanyak 35% dari pre-test ke post-test yang diberikan kepada siswa. Kegiatan ini menyediakan ruang ekspresi kreatif kepada siswa dalam meningkatkan literasi digital mereka sekaligus beradaptasi dengan perkembangan teknologi. Sebagaimana diketahui, literasi digital tidak hanya berhenti pada penggunaan teknologi, tetapi juga bagaimana teknologi bisa dimanfaatkan oleh manusia.
Transformasi Literasi Digital melalui Pelatihan Pemanfaatan Media Sosial secara Efektif Surianto, Dewi Fatmawati; Baso, Fadhlirrahman; Surianto, Dewi Fatmarani; Mappangara, Surianto; Rifqie, Dary Mochamad
Jurnal Kemitraan Responsif untuk Aksi Inovatif dan Pengabdian Masyarakat Volume 3 Issue No. 1: July 2025
Publisher : Lontara Digitech Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61220/kreativa.v3i1.20265

Abstract

Integrasi media sosial dalam kehidupan sehari-hari telah membawa perubahan besar terhadap pola komunikasi masyarakat Indonesia. Media sosial bukan hanya menjadi sarana interaksi dan hiburan, tetapi juga berperan dalam penyebaran informasi, pendidikan, hingga peluang ekonomi. Namun, penggunaan yang tidak terarah dapat menimbulkan risiko, seperti kecanduan, cyberbullying, penyebaran misinformasi, dan ancaman keamanan data. Kegiatan pengabdian masyarakat ini bertujuan untuk memberikan pelatihan mengenai penggunaan media sosial secara efektif serta dampaknya, baik positif maupun negatif, kepada masyarakat dan mahasiswa di Kabupaten Sinjai. Metode pelaksanaan meliputi tahap persiapan, pelatihan interaktif, pendampingan singkat, serta evaluasi. Hasil pelaksanaan menunjukkan adanya peningkatan pengetahuan peserta mengenai risiko digital, kesadaran terhadap dampak negatif, serta keterampilan dalam memanfaatkan media sosial secara produktif, misalnya untuk promosi usaha dan pengembangan jejaring sosial. Kegiatan diskusi memperlihatkan transformasi sikap peserta dari penggunaan yang konsumtif menuju pemanfaatan yang lebih produktif. Meskipun terdapat kendala berupa perbedaan keterampilan digital dan keterbatasan waktu praktik, kegiatan ini terbukti efektif dalam meningkatkan literasi digital masyarakat. Secara keseluruhan, pelatihan ini berkontribusi dalam membentuk sikap bijak, produktif, dan aman dalam bermedia sosial serta memberikan implikasi positif bagi peningkatan kualitas interaksi sosial dan kesejahteraan masyarakat.
Klasifikasi Mahasiswa Berprestasi Menggunakan Fuzzy C-Means Dan Naive Bayes S.Intam, Rezki Nurul Jariah; Wulandari; Risal, Andi Akram Nur; Surianto, Dewi Fatmarani
Jurnal Ilmiah Informatika Global Vol. 15 No. 1: April 2024
Publisher : UNIVERSITAS INDO GLOBAL MANDIRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36982/jiig.v15i1.3666

Abstract

Success in the world of education is often associated with successful academic achievements. Therefore, processing information is very important to determine the selection of students who excel. However, study programs and student services often face difficulties in recognizing students who have achievements. In this research, outstanding students from the Faculty of Engineering, Makassar State University were determined using the Naive Bayes classification method combined with the Fuzzy C-Means (FCM) method to identify data patterns before classification. The criteria measured are GPA, achievements achieved, organizations attended, and the number of Semester Credit Units (SKS) that have been programmed. By using the Confusion Matrix, the evaluation results show an accuracy level of 98%, recall of 97%, precision of 100%, and F1-Score of 99%.
Integrasi Metode Weighted Product (WP) dan Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) untuk Pendukung Keputusan Penentuan Asisten Dosen Muthmainnah, Aindri Rizky; Pamput, Jessicha Putrianingsih; Adiba, Fhatiah; Surianto, Dewi Fatmarani; Nasrullah, Asmaul Husnah; Budiarti, Nur Azizah Eka
Jurnal Informatika dan Rekayasa Perangkat Lunak Vol. 7 No. 2 (2025): September
Publisher : Universitas Wahid Hasyim

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

Abstract

The selection of teaching assistants requires an objective and effective decision-making system. This study designs a decision support system for selecting assistants in the Algorithm and Basic Programming course at JTIK, Universitas Negeri Makassar, by integrating the Weighted Product (WP) and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) methods. WP assigns weights to evaluation criteria, while TOPSIS identifies the best candidates based on positive and negative ideal distances. The criteria include academic performance, communication, subject mastery, and teaching experience. Testing results show that the system produces consistent selections, aligned with manual calculations and recruitment outcomes, proving its validity and effectiveness in supporting the selection process.
The Impact of Organizational Culture, Socioeconomic Status, and Previous Technology Experience on AI Learning: Mediating Role of AI Anxiety Among University Students S, Aprilianti Nirmala; Rahman, Edi Suhardi; Fakhri, M Miftach; Surianto, Dewi Fatmarani; Baso, Fadhlirrahman; Arifiyanti, Fitria; Amukune, Stephen
Tadris: Jurnal Keguruan dan Ilmu Tarbiyah Vol 10 No 2 (2025): 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.v10i1.23939

Abstract

This study explores the influence of AI anxiety, organizational culture, socioeconomic status (SES), and previous technology experience on AI learning outcomes among university students. Utilizing a quantitative approach, data were collected from 368 students via an online survey. Structural equation modeling (PLS-SEM) was employed to analyze the data, revealing that AI anxiety, often considered a barrier, can enhance learning outcomes when managed effectively. The study further highlights the significant direct and indirect roles of organizational culture and SES in shaping AI learning, with AI anxiety acting as a mediator. The results underscore the importance of designing educational strategies that foster a balance between institutional support and individual autonomy, while addressing disparities in technological access across different social strata. These findings offer valuable implications for developing more inclusive, accessible, and effective AI educational practices. The findings suggest that while AI anxiety is generally seen as a negative factor, its potential to motivate students when effectively managed can be leveraged to enhance learning engagement. Furthermore, the research emphasizes the need for targeted interventions and policies that ensure equitable access to AI tools, particularly for students from lower socioeconomic backgrounds, to foster a more inclusive learning environment.
K-Means-Based Behavioral Segmentation of Social Media Users for Digital Communication Analysis in Indonesia Nurhidayat, Nurhidayat; Nur Fadillah; Dilla, Salsa; Syahrul, Syahrul; Surianto, Dewi Fatmarani
International Journal of Electronics and Communications Systems Vol. 5 No. 2 (2025): International Journal of Electronics and Communications System
Publisher : Universitas Islam Negeri Raden Intan Lampung, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24042/ijecs.v5i2.28749

Abstract

Social media has become a central part of daily life in Indonesia, yet the rapid growth of digital platforms presents challenges in analyzing large, unstructured user data. Responding to this issue, this study aims to cluster the behavioral patterns of Indonesian social media users using the K-Means Clustering algorithm, a data mining technique for unsupervised segmentation. Employing a quantitative approach, data were collected through an online questionnaire from 553 respondents aged 15–80 years. After data cleaning, normalization, and feature encoding, the optimal number of clusters was determined using the Elbow method and Silhouette Coefficient, resulting in two clusters with a Silhouette score of 0.177. Cluster 0 (303 respondents) represents highly interactive multi-platform users active on Instagram, TikTok, and YouTube for 3–6 hours daily, showing strong interest in entertainment and motivational content. Cluster 1 (250 respondents) includes more passive users, mainly on Instagram and TikTok, spending 3–4 hours per day with moderate engagement and a preference for motivational and self-development content. The findings demonstrate that K-Means Clustering effectively maps user behavior based on platform use, content preferences, motivations, and interaction patterns. The implications of these findings suggest that digital communication strategies need to be tailored to the characteristics of each user cluster so that the messages and content conveyed are more effective.
Unraveling the Effects of AI Usage on Burnout among Programmers: An Apriori Algorithm Data Mining Approach Muhammad Fardan; Ana Sulistiana Alwi; Khalil Mubaraq Darwing; Dewi Fatmarani Surianto; Putri Nirmala; Nurrahmah Agusnaya
Information Technology Education Journal Vol. 4, No. 3, August (2025)
Publisher : Jurusan Teknik Informatika dan Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/intec.v4i3.9858

Abstract

Burnout is a growing problem across various industries, particularly among programmers who face high workloads and prolonged stress. In this digital era, the use of technologies such as AI can be a solution to reduce workloads and improve employee well-being. This study aims to identify how the use of AI can reduce burnout levels in programmers. The method used is a cross-sectional research design with data collection through a survey using the Google Form platform, and data analysis using descriptive techniques and the Apriori algorithm to find patterns in the relationship between the duration of AI use, workload, and burnout levels. The results show that the use of AI can help reduce burnout levels by lowering workloads, providing a basis for more effective interventions in the workplace.
Comparative Analysis of the Performance of Hadith Text Classification Methods: A Case Study with ANN and SVM Dewi Fatmarani Surianto; Muhammad Fajar B; Musda Rida Mulia; Indanasufya Indanasufya
Journal of Embedded Systems, Security and Intelligent Systems Vol 5, No 1 (2024): March 2024
Publisher : Program Studi Teknik Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/jessi.v5i1.2942

Abstract

Hadith is the second holy book for Muslims after the Quran, containing instructions from the Prophet Muhammad SAW, and narrated by Ulama / Mufti. As one of the main sources of Islamic teachings, hadith is used to explain and illustrate the teachings of the Quran. This study aims to compare the performance of hadith text classification using Artificial Neural Network (ANN) and Support Vector Machine (SVM) with Hadith Bukhari dataset. The stages include preprocessing, feature extraction with TF-IDF, classification, and evaluation. The evaluation results show different performance between ANN and SVM in two scenarios: with and without stemming. The use of stemming has a significant impact on model performance, reducing word variation and can result in a decrease in accuracy. The SVM model consistently showed higher accuracy than ANN in both scenarios, with the highest accuracy reaching 85% for classification without stemming. This study provides insight into the application of ANN and SVM in hadith text classification, emphasizing the importance of selecting a method that suits the characteristics of the data.
A Hybrid Framework for Plagiarism Detection: Integrating Token-Based Similarity with Density-Based Clustering Muhammad Fajar B; Fitriyanty Dwi Lestary; Dewi Fatmarani Surianto
Journal of Embedded Systems, Security and Intelligent Systems Vol 6, No 1 (2025): March 2025
Publisher : Program Studi Teknik Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/jessi.v6i1.7664

Abstract

Plagiarism detection in academic assignments remains a critical challenge in maintaining academic integrity in higher education. This study proposes an automated method to detect content similarity between student assignment documents by combining Jaccard Similarity and DBSCAN (Density-Based Spatial Clustering of Applications with Noise) algorithms. The process begins with the collection of student assignment files in digital format, followed by text extraction to form a set-based representation of each document. Jaccard Similarity is then used to compute the degree of similarity between every document pair, and the resulting similarity matrix is transformed into a distance matrix as input for DBSCAN. Experiments conducted on 23 documents yielded 253 unique document pairs. The results demonstrate that the method successfully identified pairs with high similarity scores—such as 0.9114 and 0.7226—which were visually confirmed through a heatmap and effectively grouped into clusters by DBSCAN. Parameter settings of eps = 0.3 and min_samples = 1 proved optimal for distinguishing original documents from those exhibiting substantial content overlap. This approach is not only accurate and efficient, but also eliminates the need for predefined cluster numbers, making it suitable for deployment in automated plagiarism detection systems for academic texts.
Co-Authors A. Arianugerah Ilham A. Arianugerah Ilham AA Sudharmawan, AA Abdal, Nurul Mukhlisah Abdul Muis Mappalotteng Abdul Wahid Abdul Wahid Adiba, Fathiah Adiba, Fhatiah Adnas, Diny Anggriani Afrisal Arifin Agusyana, Nurrahmah Ahmar, Ansari Saleh Ahnaf Riyandirga Ariyansyah Putra Helmy Aindri Muthmainnah Aindri Rizky Muthmainnah Ainun Zahra Adistia Akbar, Mohammad Arsan Akbar, Muh. Arsan Akmal Hidayat Akmal Hidayat Akmal, Muhammad syafruddin Aksa, Muhammad Al Amanah, Muh. Nur Hidayat Alwi, Muh Naufal Ramadhani Amanda Putri Lestari Amiruddin Amri, Muh. Aidil Amukune, Stephen Ana Sulistiana Alwi Andi Akram Nur Risal Andi Akram Nur Risal Andi Baso Kaswar Andi Baso Kaswar Andi Dio Nurul Awalia Andi Tenri Ola Rivai Andi, Tenriola Andika Isma Anwar Wahid Arifiyanti, Fitria Arifky, Reza Asis Nojeng Asri Ismail Athiyyah Anandira Awalia, Andi Dio Nurul Awaliah, Widiarti Awaluddin, Muhammad Ghazali Ayu Hasnining Ayu Safitri Ayu Safitri Azis, Putri Alysia Azzah Ulima Rahma B., Muhammad Fajar Bahar, Muhammad Mahdinul Bakri, Muh. Fajrin Baso, Fadhlirrahman Cahyana Resky, Andi Aulia Clarisha, Windi Dary Mochamad Rifqie Della Fadhilatunisa Dhaffa Mulya Rahman Dilla, Salsa Dillah, Salsa Dwi Rezky Anadari Sulaiman Edi Suhardi Rahman Edy, Marwan Ramdhany Eriyani, Nindy Sri Erva Irianti Fadhlirrahman Baso FADIAH, NUR Fani, A. Astri Merilsa Fathahillah Fhatiah Adiba Fhatiah Adiba Firdaus Firdaus Firdaus Fitriani Dzulfadhilah Fitriyanty Dwi Lestary Fizar Syafaat Furqan Ali Yusuf Haekal Febriansyah Ramadhan Hanum Zalsabilah Idham Hardy M, Galang Hartini Ramli Hidayat M., Wahyu Ilyas, Sitti Nurhidayah Indanasufya Indanasufya Inez Sri Wahyuningsi Manguling Irwandi Ivan Fadillah Akram Iwan Suhardi Jariah S.Intam, Rezki Nurul Jariah, Rezki Nurul Jasruddin Jessicha Pamput Jessicha Putrianingsih Pamput Jumadi Mabe Parenreng Jumadil Ahmad Safi’i Jusniar . Khaerunnisa Nur Fatimah Syahnur Khalil Mubaraq Darwing Kurnia Prima Putra Lapendy, Jessica Crisfin Lutfiah Tri Syahyaningsih Lutfiah Tri Syahyaningsih M. Miftach Fakhri M. Syahid Nur Wahid Makmur, Haerunnisya Mappangara, Surianto MARDIAH, AINA Marwan Ramdhany Edy Meisaraswaty Arsyad Muh. Alief Rezky Anisar Muh. Juharman Muhammad agung Muhammad Akil Musi Muhammad Fadhil Hani Muhammad Fadhullah Muhammad Fahrul Rosi Ishaq Muhammad Fajar B Muhammad Fardan MUHAMMAD ILHAM Muhammad Nur Yusri Muhammad Rafli Aditya H. Muhammad Rakib Muhammad Try Dharsana Muharni Muharni Muhtadi, Nashiruddin Sahal Muliadi Muliadi Muliadi Musda Rida Mulia Muthmainnah, Aindri Muthmainnah, Aindri Rizky Mutmainnah R Nafil Rizqullah Rajab Nafil Rizqullah Rajab Nashiruddin Sahal Muhtadi Nasrullah, Asmaul Husnah Natsir, Nasrah Ninik Rahayu Ashadi NIRMALA, PUTRI Nur Fadiah NUR FADILAH Nur Fadilah NUR FADILLAH Nur Fadillah, Nur Nur Isma Nur Risal, Andi Akram Nurhidayat Nurhidayat Nurhidayat Nurjannah Nurjannah Nurjayanti Nurjayanti Nurrahmah Agusnaya Nurul Fadhilah Nurul Fadhillah S Nurul Fadhillah S Nurul Mukhlisah Abdal Pamput, Jessicha Pamput, Jessicha Putrianingsih Parenreng, Jumadi M. Putri Nanda Sari Putri Nirmala Putri Zhachilia Susanto Raden Mohamad Herdian Bhakti Rahman, Dhaffa Mulya Rahmaniar Rahmat Kurniawan Ramadhan, Haekal Febriansyah Resky, Andi Aulia Cahyana Rezki Angriani Pratiwi Kadir Rezki Nurul Jariah Ridwan Daud Mahande Ridwan Daud Mahande Risaldi, Muhammad Rosidah Rosidah Rusli, Risvan S, Aprilianti Nirmala S, Muh. Rizal S, Nurul Fadhillah S.Intam, Rezki Nurul Jariah Safira, Wahyuni Edsa Salam, Fitria Nur Dina Salsa Dillah Sari Wulandari Sasmita Sasmita Setialaksana, Wirawan - Shabrina Syntha Dewi Shasa Inayah Vega Shasa Inayah Vega Siti Syarifah Wafiqah Wardah Soeharto Soeharto Sri Riski Wulandari Sudarmanto Jayanegara Suherman, Muhammad Ilham Surianto, Dewi Fatmawati Syahrul Syahrul Syahrul Syam, Abd. Azis Syamsurijal Syamsurijal, Syamsurijal Tenriola, Andi Udin Sidik Sidin Wahid, M Syahid Nur Wahid, M. Syahid Nur Wahid, Yokogeri Abdullah Wahyu Hidayat M Wahyu Hidayat M Wahyudi Wahyudi Warda Wahyuni Wardani, Ayu Tri WULANDARI Wulandari Wulandari Zsolt Lavicza Zulfikar, Muh Ihsan Zulhajji, Zulhajji