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All Journal Jurnal Ilmu Komputer dan Informasi Jurnal Buana Informatika Teknosains: Media Informasi Sains dan Teknologi Jurnal Teknologi Informasi dan Ilmu Komputer SIGMA: Jurnal Pendidikan Matematika AlphaMath: Journal of Mathematics Education JOIV : International Journal on Informatics Visualization Al Ishlah Jurnal Pendidikan Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) JPM (Jurnal Pemberdayaan Masyarakat) Faktor Exacta Jurnal Penjaminan Mutu JITK (Jurnal Ilmu Pengetahuan dan Komputer) JMM (Jurnal Masyarakat Mandiri) JTAM (Jurnal Teori dan Aplikasi Matematika) International Journal of Pedagogy and Teacher Education CARADDE: Jurnal Pengabdian Kepada Masyarakat JURNAL PENDIDIKAN TAMBUSAI Jurnal Nasional Pendidikan Teknik Informatika (JANAPATI) JURNAL MathEdu (Mathematic Education Journal) JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) GERVASI: Jurnal Pengabdian kepada Masyarakat TELKA - Telekomunikasi, Elektronika, Komputasi dan Kontrol Techno Xplore : Jurnal Ilmu Komputer dan Teknologi Informasi Jurnal Sistem Informasi dan Informatika (SIMIKA) Reswara: Jurnal Pengabdian Kepada Masyarakat Jurnal Teknik Informatika (JUTIF) Unri Conference Series: Community Engagement Jurnal Dedikasi International Journal of Electronics and Communications Systems Jurnal Pengabdian Inovasi dan Teknologi Kepada Masyarakat Online Learning in Educational Research Seminar Nasional Pengabdian Kepada Masyarakat Catimore: Jurnal Pengabdian Kepada Masyarakat Jurnal Ilmiah Edutic : Pendidikan dan Informatika Internet of Things and Artificial Intelligence Journal Jurnal Penjaminan Mutu Indonesian Journal of Fundamental Sciences IPTEK: Jurnal Hasil Pengabdian kepada Masyarakat Teknovokasi : Jurnal Pengabdian Masyarakat Vokatek : Jurnal Pengabdian Masyarakat Information Technology Education Journal Pengabdian Jurnal Abdimas Journal of Embedded Systems, Security and Intelligent Systems Ininnawa: Jurnal Pengabdian Masyarakat Jurnal Kemitraan Responsif untuk Aksi Inovatif dan Pengabdian Masyarakat Jurnal Ilmu Pengetahuan dan Teknologi Bagi Masyarakat Jurnal MediaTIK Mekongga: Jurnal Pengabdian Masyarakat Media Elektrik Malaqbiq : Jurnal Pengabdian kepada Masyarakat. Sasambo: Jurnal Abdimas (Journal of Community Service) JuTISI (Jurnal Teknik Informatika dan Sistem Informasi) Journal of Emerging Research in Computer Science and Artificial Intelligence

Andi Baso Kaswar Andi Baso Kaswar

Universitas Negeri Makassar

Author-ID : 2746634

Religion Agriculture, Biological Sciences & Forestry Arts Humanities Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions 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

Published : 104 Documents Claim Missing Document

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Pengembangan Sistem Informasi Kepegawaian SMA Negeri 2 Polewali Berbasis Web Sanatang; Andi Baso Kaswar; Jamila
Information Technology Education Journal Volume 1, Issue 3, September 2022
Publisher : Jurusan Teknik Informatika dan Komputer

Tujuan daripada penelitian ini adalah untuk mengetahui hasil pengujian sistem informasi kepegawaian SMA Negeri 2 Polewali berbasis web dan keefektifan dan kepraktisan sistem informasi kepegawaian SMA Negeri 2 Polewali berbasis web. Penelitian ini merupakan jenis penelitian dan pengembangan Research and Development (R&D) yang menggunakan model pengembangan prototype dengan menggunakan pengujian standar ISO 25010. Hasil pengujian menunjukkan hasil yang sangat baik berdasarkan 8 aspek karakteristik ISO 25010 yakni: functional suitability dengan hasil 100% dengan kategori dapat diterima, usability dengan hasil pengujian 30 responden sebanyak 22 orang atau 73,3% pada kategori sangat baik dan 8 orang atau 26,7% pada kategori baik, performance efficiency hasil page speed sebesar 94% dengan waktu load 1,3 detik, reliability dengan hasil 100%, Portability dengan hasil dapat berjalan dengan baik di berbagai macam sistem operasi dan browser, maintainability telah memenuhi aspek yang ditentukan yaitu instrumentation, consistency, dan simplicity, compatibility dengan hasil 100% dengan kategori sangat layak, security berada pada tingkat keamanan level C low.

Pengembangan E-Modul Mata Kuliah Sistem Operasi di Program Studi PTIK Universitas Negeri Makassar Ikra Ain Fahwa; Riana T. Mangesa; Andi Baso Kaswar
Information Technology Education Journal Volume 2, Issue 2, Mei 2023
Publisher : Jurusan Teknik Informatika dan Komputer

Penelitian ini bertujuan untuk mengetahui validitas, kepraktisan, dan keefektifan pengembangan e-modul mata kuliah Sistem Operasi di Jurusan Teknik Informatika dan Komputer Fakultas Teknik Universitas Negeri Makassar. Penelitian ini merupakan penelitian pengembangan (Research and Development), rancangan pengembangannya menggunakan model 4-D. Subjek pada penelitian ini adalah mahasiswa Program Studi PTIK Universitas Negeri Makassar. Instrumen pengumpulan data dilakukan melalui lembar uji validasi, angket respon mahasiswa, dan instrumen penilaian hasil belajar. Teknik analisis data yang digunakan adalah analisis data deskriptif. Dari penelitian ini, hasil yang diperoleh menunjukkan bahwa e-modul Sistem Operasi di Program Studi PTIK Universitas Negeri Makassar dinyatakan valid berdasarakan hasil validasi oleh ahli materi dan media yang berada pada kategori sangat valid. E-modul Sistem Operasi dinyatakan praktis berdasarkan frekuensi tanggapan responden pada uji coba kelompok kecil dan uji coba kelompok besar dengan kategori sangat baik. E-modul Sistem Operasi dinyatakan efektif karena memberikan kemudahan bagi mahasiswa dalam proses pembelajaran sehingga efektif meningkatkan hasil belajar, ditinjau dari hasil belajar mahasiswa dengan kategori lulus dengan nilai tinggi sehingga dinyatakan efektif. Berdasarkan data tersebut dapat disimpulkan bahwa e-modul Sistem Operasi valid, praktis, dan efektif untuk digunakan sebagai bahan ajar bagi mahasiswa Program Studi PTIK Universitas Negeri Makassar.

Sistem Klasifikasi Tingkat Kematangan Buah Cabai Katokkon Berdasarkan Fitur Warna LAB Menggunakan Artificial Neural Network Backpropagation Andi Baso Kaswar; Fhatiah Adiba; Dyah Darma Andayani
Journal of Embedded Systems, Security and Intelligent Systems Vol 4, No 2 (2023): November 2023
Publisher : Program Studi Teknik Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/jessi.v4i2.996

Chili is one of the horticultural commodities that has a very significant economic and cultural value in Indonesia. One type of chili that is unique but widely cultivated in Indonesia is katokkon chili (Toraja chili). Seeing the great potential that katokkon chili has, the chili is finally widely cultivated. However, various problems in the cultivation process until harvest have emerged. One of them is in the process of identifying the level of maturity. The stage of identifying the maturity level of chilies is an important aspect of cultivation and post-harvest handling. This is because the maturity level significantly affects the quality, nutritional content, and market value of chili katokkon. Many studies have utilized digital image processing and machine learning in fruit ripeness detection. However, until now, the detection of the maturity level of katokkon chili fruit is still done manually, which has an impact on the potential inaccuracy of classification results due to various factors. Therefore, this research proposes a classification system for the maturity level of katokkon chili fruit based on LAB color features using artificial neural network backpropagation. The proposed method consists of six main stages, namely image acquisition, preprocessing, segmentation, morphological operations, LAB feature extraction, and backpropagation artificial neural network modeling. The proposed method can classify the maturity level of chili katokkon into three classes with 96,00% accuracy, 96,40 % precision, and 96,00% recall. These results show that the proposed method can classify the maturity level of chili katokkon accurately.

Utilizing the K-Means Clustering Algorithm for Analyzing Student Achievement Assessment at SMK Negeri 1 Gowa Andi Akram Nur Risal; Dyah Darma Andayani; Muh Ilham Suherman; Andi Baso Kaswar
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.v5i1.2178

Student achievement assessment is an integral part of the educational process that aims to measure student learning achievement. This study aims to analyze student achievement assessments at SMK Negeri 1 Gowa using the K-Means algorithm. This study uses student data from the 2021–2022 school year, grouped into three clusters: highest, medium, and sufficient. The analysis results show that K-Means successfully clusters students based on academic achievement. The first cluster displays focused students who excel in a few key subjects (PPKN, Physics, Chemistry, and Math); the second cluster shows students with excellence in certain subjects (PAI, Bahasa Indonesia, and History); and the third cluster displays students with the highest academic achievement in all subjects. Evaluation using the silhouette coefficient shows that cluster one has a range of 0.49–0.54, cluster two has a range of 0.49–0.56, and cluster three has a value of 0.50–0.55, indicating that the data density in each cluster is good. SMK Negeri 1 Gowa can use the results of this study as a basis for school evaluation to enhance student achievement.

INTEGRATION OF OTSU THRESHOLDING AND MORPHOLOGICAL OPERATIONS FOR CAROLINA REAPER CHILI IMAGE SEGMENTATION Andi Baso Kaswar; Labusab; Ismail Aqsha
Journal of Embedded Systems, Security and Intelligent Systems Vol 5, No 3 (2024): November 2024
Publisher : Program Studi Teknik Komputer

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

Segmentation is an important step in building a fruit-quality classification system. Previous research has shown the success of the Otsu Thresholding method for fruit image segmentation, but its application to Carolina Reaper chili images in Indonesia has not been carried out specifically. This research proposes the integration of the Otsu Thresholding method with morphological operations to improve the accuracy of Carolina Reaper chili image segmentation based on the ripeness level. The process starts with RGB image acquisition using a controlled camera, followed by red channel extraction as the segmentation input. The Otsu method is used to separate the object and background based on pixel intensity, resulting in a binary image that is enhanced through morphological operations, including dilation, imfill, and bwareaopen. The results show high accuracy, with averages of 99.85% (mature), 99.38% (almost mature), and 99.67% (raw). The average computation time is less than one second which shows the potential for real-time applications. This research contributes to the efficiency of technology-based postharvest processing of Carolina chili peppers

Accuracy and Detection Efficiency in Stacked PVC-based Transparent Markers for Augmented Reality Systems Kurnia Prima Putra; Andi Baso Kaswar; Muh. Ihsan Zulfikar; Tri Afirianto
Journal of Embedded Systems, Security and Intelligent Systems Vol 6, No 3 (2025): September 2025
Publisher : Program Studi Teknik Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/jessi.v6i3.10447

Augmented Reality (AR) marker-based tracking has evolved from single-marker systems, which limit spatial coverage and robustness, to multi-marker approaches that enable simultaneous detection for expanded interactivity. Prior research using libraries like Vuforia and AR.js has applied multi-markers in education (e.g., solar system simulations) and interactive media, improving redundancy and workspace; however, stacked transparent overlays—treating layers as unified yet distinct entities—remain underexplored, especially for alignment precision and opacity effects in translucent materials like PVC.This study evaluates tracking accuracy and detection efficiency of stacked transparent markers (2–7 layers) in AR.js, printed on 0.3 mm PVC sheets and tested with a Vivo V30 Pro camera under controlled lighting. Well-aligned configurations maintain accuracy near single-marker baselines (0.85 mm to 1.15 mm deviation), with detection rates from 98.5% to 88.3%, though processing time rises from 16.9 ms to 25.9 ms, lowering frame rates from 59.2 FPS to 38.6 FPS. Translational (2–5 mm) and rotational (5°–15°) misalignments sharply degrade performance, reducing 7-layer detection to 65.4% and 58.2%, respectively.The primary contribution is quantitative benchmarks for PVC-based overlays in AR.js, confirming feasibility for multi-layered tracking while defining tolerances (<2 mm translation, <3° rotation) to sustain >90% detection in 3–5 layers. These insights guide AR design for robust, extended applications in education and industry.

Enhancing Computational Thinking Skills through Digital Literacy and Blended Learning: The Mediating Role of Learning Motivation Putri Nirmala; Iwan Suhardi; Andi Baso Kaswar; Dewi Fatmarani Surianto; Muhammad Fajar B; Soeharto Soeharto; Zsolt Lavicza
Online Learning In Educational Research (OLER) Vol. 5 No. 1 (2025): Online Learning in Educational Research
Publisher : CV FOUNDAE

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58524/oler.v5i1.504

In the digital era, computational thinking becomes an essential skill to overcome technological challenges in 21st centuryeducation. This study investigates the impact of digital literacy and blended learning on computational thinking skills, focusing on the mediating role of learning motivation. A total of 413 university students from blended learning environments participated, using a structured questionnaire with validated scales for digital literacy, computational thinking, and learning motivation. Data were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM) to test direct and mediation relationships. The results showed that digital literacy and blended learning significantly influenced computational thinking, with learning motivation acting as a mediator that strengthened this relationship. Digital literacy showed a greater influence than blended learning. These findings highlight the importance of integrating digital literacy and motivational strategies into blended learning to optimize the development of computational thinking skills, as well as providing insights for learning design that is relevant to the needs of the 21st century.

Peningkatan Keterampilan Guru Dalam Pembuatan Media Pembelajaran Berbasis Teknologi Informasi dan Komunikasi Dyah Darma Andayani; Fhatiah Adiba; Andi Baso Kaswar; Gufran Darma Dirawan; Ridwansyah; Marwan Eka Ramdhany
Vokatek : Jurnal Pengabdian Masyarakat Volume 1: Issue 2 (Juni 2023)
Publisher : Sakura Digital Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61255/vokatekjpm.v1i2.109

Penerapan kurikulum merdeka belajar menuntut guru untuk lebih menerapkan penggunaan teknologi dalam proses belajar mengajar. Namun, ketersediaan teknologi tidak membuat penggunaan media pembelajaran berbasis teknologi informasi dan komunikasi menjadi lazim dalam kelas terutama di sekolah-sekolah kabupaten Takalar. Pengabdian kepada masyarakat ini bertujuan untuk melatih guru-guru di Kabupaten Takalar dalam memanfaatkan aplikasi media yang tersedia secara online dalam mengembangkan media pembelajaran sebagai bagian perangkat pembelajaran pada kurikulum Merdeka Belajar yang digunakan. Pelatihan dilakukan dengan menggabungkan metode case-based method dan project-based learning. Hasil pelatihan menunjukkan bahwa guru-guru di kabupaten Takalar telah mampu mengembangkan media pembelajaran yang interaktif dan inovatif baik dalam menyampaikan materi pembelajaran maupun dalam bentuk evaluasi pembelajaran .

Membangun Keterampilan Pendidik Melalui Pelatihan Pembuatan Media Pembelajaran Berbasis Artificial Intelligence Andi Baso Kaswar; Nurjannah; Meisaraswaty Arsyad; Dewi Fatmarani Surianto; Rosidah
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.v1i3.248

In this digital era, artificial intelligence (AI) technology plays a crucial role in driving innovation in the education sector. This article discusses efforts to address challenges in understanding and practical skills among educators regarding the implementation of AI in learning. The focus is on training conducted at SMP Negeri 2 Kahu, which faces challenges in using AI to enhance the quality of learning media. The training begins with a basic understanding of AI, involving definitions, fundamental concepts, recent developments, and ethical aspects of AI usage. The final session of the training emphasizes the utilization of AI in developing interactive and adaptive learning media, particularly using Chat GPT. Participants engage in practical demonstrations and collaborative discussions to design the integration of this technology into the learning process. Post-training evaluations indicate an improvement in participants' understanding, although challenges in technology access need to be addressed. This training is expected to stimulate innovation, create an adaptive educational ecosystem, and provide a relevant and adaptive learning experience for students in the digital era.

Pelatihan Pembuatan Media Pembelajaran Interaktif Berbasis Kahoot Bagi Pendidik di SMAS Islam Ibadurrahman A Mutahharah; Ninik Astuti; Nurbaitul Afyan; Nurjannah; Andi Baso Kaswar
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.v1i3.257

This training activity is motivated by the challenges faced by our partners, namely that most educators primarily use traditional teaching methods, relying on chalkboards and occasionally incorporating PowerPoint slides. A significant number of educators employ lecture-style teaching during the learning process, resulting in a classroom environment that becomes monotonous and causes students to lose focus. Consequently, learners are unable to concentrate on the lessons being delivered in the classroom. Therefore, there is a pressing need for engaging learning media that meet the needs of students and enhance their learning determination. This training program is specifically designed for educators at SMAS Islam Ibadurrahman, as many educators there encounter difficulties in applying various media or applications in teaching, especially in the field of mathematics. The objective of this training is to enhance the educators' ability to utilize existing technology, particularly the Kahoot platform, as a means of teaching. The aim is to make educators more creative and capable of increasing students' interest in learning. The training activities was focus on the used and creation of Kahoot-based learning media. The outcome of this initiative was expected to increased the knowledge and skills of educators at SMAS Islam Ibadurrahman regarding the use of Kahoot as a teaching tool in the classroom.

Co-Authors A Mutahharah A. Farha Adella A. Muhammad Idkhan A. Mutahharah A. Mutahharah Mutahharah A.Farha Adella Abd. Rahman Patta Abdul Muis Mappalotteng Abdul Wahid Adiba, Fhatiah Afdhaliyah, Mukhlishah Aglaia, Alifya Nuraisyar Agung, Andi Sadri Agus Zainal Arifin Agus Zainal Arifin Agustinus Suria Darme Ahmad Adzan Lain Ahmad Fudhail Majid Ahmad Khan, Sardar Faroq Ahmad Mustofa Hadi Ahmad Mustofa Hadi Ainun Zahra Adistia Aisyah Ramadani Akbar, Trisakti Aksa, Muhammad Alfian Firlansyah Ananta Dwi Prayoga Alwy Andi Ahmad Taufiq Andi Akram Nur Risal Andi Alamsyah Rivai Andi Fitri Novianti Andi Nurul Izzah Andi Rosman N Andi Tenri Ola Rivai Andi Tenriola Anggy Heriyanti Anggy Heriyanti Annajmi Rauf Anny Yuniarti Aprilianti Nirmala S Aqsha, Ismail Aras, Muh Riski Farukhi Arifky, Reza Arinanda Alviansyah Arliandy, Arliandy Arya Yudhi Wijaya Arya Yudhi Wijaya Aryadi Nurfalaq Ashadi, Ninik Rahayu Asmi Ulfiah Asnidar Asnidar Asrofi, Muhammad Ghufran Aswar Aswar Aulia, Magfirah Awalia, Nur Ayu Futri Azis, Putri Alysia Azis, Salsabila Bantun, Suharsono Bugdady, Andi Jaedil Bukhari Naufal Nur A.G Burhan, Rafli Ananta Chairati, Chairati Cyahrani Wulan Purnama Cyahrani Wulan Purnama Rasyid Darma Andayani, Dyah Darme, Agustinus Suria Della Fadhilatunisa Desitha Cahya Dewi Fatmarani Surianto Dhanendra, Fadhil Dina Salam, Fitria Nur Dirawan, Gufran Darma Edy, Marwan Ramdhany Elva Amalia Elva Amalia Eman Wahyudi Kasim Eriyani, Nindy Sri Fachriansyah, Zaky Farid, Muhammad Miftah Farros Taufiqurrahman Fathahillah Fathahillah Fauzi, A. Arfan Fazli Arif Fhatiah Adiba Fhatiah Adiba Hafidz Muhtar Hanum Zalsabilah Idham Hartanto Tantriawan Heriyanti, Anggy Herman Hermansyah Hermansyah Hersyam, Muh Syachrul Hidayat, Muh. Taufik Ibnu Fikrie Syahputra Idkhan, A. Muhammad Idkhan, Andi Muhammad Idris, Muh Gimnastiar Ihlasul Amal Ikra Ain Fahwa Ilham, Muh Ilham, Muhammad Ryan Ilyas, Muh. Imran, Al Indri Pratiwi Ramadhani Intam, Reski Nurul Jariah S Irwansyah Suwahyu ISHAK Israwati Hamsar Iwan Suhardi Jamaluddin, Bunga Mawar Jamila Jamila Jamila Jariah S.Intam, Rezki Nurul Jasruddin Daud Malago Jayanti Yusmah Sari Jessica Crisfin Lapendy Juliano Nufiansyach Dini Jumadi Mabe Parenreng Jusrawati Jusrawati Jusrawati Kaparang, Adam Indra Kaswar, A Baso Kurnia Prima Putra Kurnia Wahyu Prima Labusab Labusab Labusab Labusab, Labusab Lapendy, Jessica Crisfin M. Miftach Fakhri Makmur, Haerunnisya Mappaita, Al Haytsam Marhayati Marwan Eka Ramdhany Marwan Ramdhany Edy Massie, Gary Jeremi Maulana Muhammad Maulana Muhammad Mawaddah, Arini Ulfa Meisaraswaty Arsyad Muammar Muammar Muh Aldhy Fatahillah Muh Devan Fahresi Muh Fuad Zahran Firman Muh Ilham Suherman Muh Omar Hassan ST Muh. Dirgafa Anugra Rais Muh. Dirgafa Anugrah Rais Muh. Fardika Pratama Putra Muh. Fauzan Arifuddin Muh. Ihsan Zulfikar Muh. Rais Muh. Rasul D Muhammad Agung Muhammad Agung Muhammad Akbar Muhammad Akbar Muhammad Akil, Muhammad Muhammad Atthariq Muhammad Fajar B Muhammad Naim Muhammad Nur Yusri Maulidin Yusuf Muhammad Nur Yusri Maulidin Yusuf Muhammad Rais Muhammad Yahya Muhiddin Palennari Muhira Muhira Muhtar, Hafidz Mukhtar Mukhtar Mulia, Musda Rida Muliaty Yantahin Musdar, Devi Miftahul Jannah Mustari Lamada Naim, Muhammad Nasrullah, Asmaul Husnah NFH, Alifya Ninik Astuti Nirsal Nur Anny S. Taufieq Nur Fadillah Bustamin Nur Inayah Yusuf Nurbaitul Afyan Nurfalaq, Aryadi Nurfitri, Andi Aisyah Nurhidayat Nurhidayat Nurhikma Nurhikma Nurhikma Nurjannah Nurjannah Nurjannah Nurjannah Nurjannah Nurjannah Nurjannah Nurul Amanda Pratiwi Hasbullah Nurul Isra Humaira B Nurul Istiqamah Qalbi Nurul Izzah Dwi Nurul Izzah Dwi Nurdinah Nurwijayanti Patongai, Dian Dwi Putri Ulan Sari Perdana, Am Akbar Mabrur Pramudya Asoka Syukur Pratama, Azir Zuldani Putri Nirmala Putri Ramdani R, Muh Raflyawan R, Ranir Aftar Radha Hasda Halfis Ranggareksa, Andi Ranir Atfar R Rapa, Wiwi Resky, Andi Aulia Cahyana Riana T. Mangesa Ridwan Daud Mahande Ridwansyah Ridwansyah Riswansyah , Muh Fikra Junian Riyama Ambarwati Rosidah Rosidah Rosidah Rusli, Risvan S, Mushawwir Sahribulan Sahribulan Saiful Bahri Musa Sakira, Tiara Putri Sam, Muh Hadal Ali Sanatang Saparuddin Saparuddin Saprina Mamase Saputra, Nikola Sartika Sari Sartika Sari Sasmita Sasmita Sasmita SATRIYAS ILYAS Silvia Andriani Soeharto Soeharto SR, Amin Farid Dirgantara Sri Rahayu St. Fatmah Hiola Suharsono Bantun Suhartono, Suhartono Supria Supria Surianto, Dewi Fatmawati Susiana Sari Syamsuddin Syasikirani. N, Adelia Tenriajeng, Andi Afrah Tenriola, Andi Tri Afirianto Tsabita Syalza Billa Tsabita Syalza Billa Irawan Umar, Nur Fadhilah Wahda Arfiana AR WAHYUDI Wanda Hamidah Wardani, Ayu Tri Wiwi Rapa WULANDARI Yasser Abd Djawad Yuliarni, Tarisa Yusuf, Zulfatni Zsolt Lavicza

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