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M. Miftach Fakhri

Universitas Negeri Makassar

Author-ID : 6806845

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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

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.

Digital Literacy Training and Introduction to Artificial Intelligence Ethics to Realize Digital Literate Teachers: Pelatihan Literasi Digital dan Pengenalan Etika Kecerdasan Buatan untuk Mewujudkan Guru Melek Digital Fakhri, M. Miftach; Isma, Andika; Hidayat M., Wahyu; Ahmar, Ansari Saleh; Surianto, Dewi Fatmarani
Mattawang: Jurnal Pengabdian Masyarakat Vol. 5 No. 1 (2024)
Publisher : Yayasan Ahmar Cendekia Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/454RI.mattawang2603

The problems identified are the level of digital literacy that needs to be improved and the need for an understanding of AI ethics among teachers, which can hinder the education process in the digital era. The purpose of this service is to improve the digital competence and understanding of AI ethics of teachers, so that they can be more effective in teaching and guiding students towards responsible use of technology. Through an Action Research approach, the teachers were directly involved in the process of improving and developing their skills in digital literacy and scientific article writing. The methods used in this training involved lectures, discussions, and practical exercises using various interactive media such as Quizziz, videos, infographics, and educational games. The training was attended by 35 teachers on 4 March 2024. The results of the training showed a significant increase in participants' knowledge and skills related to digital literacy and AI ethics. In addition, there was a positive shift in attitudes towards the use of digital technology. The implication of the training results is the improvement of education quality in the participating schools, as more digitally literate teachers can be more effective in integrating technology in the learning process. In addition, these teachers can act as agents of change in society, helping to build a community of smart and responsible digital technology users. Abstrak Masalah yang diidentifikasi adalah tingkat literasi digital yang perlu ditingkatkan dan perlunya pemahaman etika AI di kalangan guru, yang dapat menghambat proses pendidikan di era digital. Tujuan Pengabdian ini adalah untuk meningkatkan kompetensi digital dan pemahaman etika AI para guru, sehingga mereka dapat lebih efektif dalam mengajar dan membimbing siswa menuju penggunaan teknologi yang bertanggung jawab. Melalui pendekatan Action Research, para guru terlibat secara langsung dalam proses peningkatan dan pengembangan kemampuan mereka dalam literasi digital dan penulisan artikel ilmiah. Metode yang digunakan dalam pelatihan ini melibatkan ceramah, diskusi, dan latihan praktis dengan menggunakan berbagai media interaktif seperti Quizziz, video, infografis, dan permainan edukatif. Pelatihan ini diikuti oleh 35 guru pada tanggal 4 Maret 2024. Hasil dari pelatihan menunjukkan peningkatan signifikan dalam pengetahuan dan keterampilan peserta terkait literasi digital dan etika AI. Selain itu, terdapat pergeseran sikap yang positif terhadap penggunaan teknologi digital. Implikasi dari hasil pelatihan ini adalah peningkatan kualitas pendidikan di sekolah-sekolah peserta, karena guru yang lebih melek digital dapat lebih efektif dalam mengintegrasikan teknologi dalam proses pembelajaran. Selain itu, guru-guru ini dapat berperan sebagai agen perubahan dalam masyarakat, membantu membangun komunitas pengguna teknologi digital yang cerdas dan bertanggung jawab.

Transforming Inclusive Entrepreneurship Through Economic AI Literacy and Infographics: An Empowerment Program Fakhri, M. Miftach; Andika Isma; Putri Nirmala; Nurrahmah Agusnaya; Rosidah
Mattawang: Jurnal Pengabdian Masyarakat Vol. 6 No. 1 (2025)
Publisher : Yayasan Ahmar Cendekia Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/454RI.mattawang3986

Limited access to inclusive entrepreneurial literacy, especially in areas with minimal access to education and economic resources, is a major concern. This research aims to improve teachers' competencies in using modern technologies, such as economic AI literacy, data visualization, and augmented reality, in teaching. The research method used an Action Research approach that involved three main stages, namely the preparation, implementation, and reporting stages. The results of the pre-test and post-test data showed significant improvement in the teachers' understanding and application of technology. This study concludes that the integration of economic AI and infographics is able to improve teachers' pedagogical competence in supporting inclusive entrepreneurship. However, additional time and special training are needed to optimize the application of technology in daily learning activities.

Strengthening the Innovation Capacity of Student PKM Proposals through an AI-Generative-Based Co-Creation Learning Model with a Classroom Action Research Approach Agusnaya, Nurrahmah; Nirmala, Putri; Fakhri, M. Miftach; Hidayat M, Wahyu; Rosidah, Rosidah
Jurnal Sipakatau: Inovasi Pengabdian Masyarakat Volume 2 Issue 3 April 2025: Jurnal Sipakatau
Publisher : PT. Lontara Digitech Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61220/jsipakatau.v2i3.2514

The low quality of student innovation in preparing Student Creativity Program (PKM) proposals remains a challenge in higher education, caused by limited research experience, weak team collaboration, and low utilization of Artificial Intelligence (AI) technology. This study aims to describe the implementation of an AI-based Co-Creation Learning model in improving students' abilities to prepare PKM proposals. This research used the Classroom Action Research (CAR) method, which was conducted in two cycles: the first cycle applied the Project-Based Learning (PjBL) model, and the second cycle applied the AI-based Co-Creation Learning model. The results showed an increase in the students’ average scores from 86.1 in the first cycle to 88.4 in the second cycle, with a decrease in the standard deviation from 2.32 to 1.37. Inferential analysis using a paired samples t-test revealed a t-value of -9.25 with p < 0.001 and an effect size (Cohen’s d) of -1.46, indicating a statistically significant improvement in learning outcomes. This model effectively supports collaboration, creativity, and students' skills in developing more relevant PKM proposals. Thus, the implementation of the AI-based Co-Creation Learning model is effective in enhancing students’ innovation capacity and supports the Merdeka Belajar Kampus Merdeka policy in strengthening excellent human resources in the digital era.

AGILE DEVELOPMENT OF THE RE-QUEST INCENTIVE-BASED SURVEY APPLICATION: ENSURING ETHICAL FAIRNESS IN DATA COLLECTION Asoka Syukur, Pramudya; Miftach Fakhri , M.; Nirmala S, Aprilianti; Miftahul Jannah , Devi; Nurjannah, Elma; Dio Nurul Awalia, Andi
Jurnal Media Elektrik Vol. 22 No. 2 (2025): MEDIA ELEKTRIK
Publisher : Jurusan Pendidikan Teknik Elektro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/metrik.v22i2.7466

Low response rates in digital surveys due to survey fatigue and challenges in maintaining data quality. To develop an incentive-based survey application using the Agile method to enhance participation and data quality. The study used the Agile methodology within the framework of the Software Development Life Cycle (SDLC), focusing on iterative sprints for planning, analysis, design, implementation, and testing using the Black Box method to ensure application functionality and reliability. The "Re-Quest" application was successfully developed with key features such as survey management, an incentive calculator, and incentive redemption. The Agile method improved development flexibility and implementation efficiency. Fairness-based incentives, grounded in ethical principles of justice and equality, increased respondent responsiveness without compromising data quality. Testing results showed all application functionalities operated as designed. The "Re-Quest" application provides an innovative solution for improving participation and data quality in digital surveys through a fairness-based incentive approach, offering significant benefits for scientific research and education.

Learning Motivation Mediates Growth Mindset, Self-Efficacy, and AI Usefulness Impact on Programming Problem-Solving Skills Fardan, Muhammad; Fathahillah, Fathahillah; Fakhri, M. Miftach; Sanatang, Sanatang; Adiba, Fhatiah; Soeharto, Soeharto; Amukune, Stephen
Tadris: Jurnal Keguruan dan Ilmu Tarbiyah Vol 10 No 1 (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.v10i1.23743

Artificial Intelligence has rapidly developed, especially in education and programming, providing advantages in improving learning efficiency and personalizing educational content. This study examines the relationships between learning motivation and problem-solving skills, as well as factors influencing learning motivation, namely growth mindset, self-efficacy, and perceived usefulness of Artificial Intelligence. Data collected from 276 students were analyzed using Partial Least Squares Structural Equation Modeling. The results show that growth mindset, self-efficacy, and perceived usefulness significantly influence learning motivation. Additionally, learning motivation strongly predicts problem-solving skills in programming tasks. These findings emphasize the critical role of psychological factors in fostering learning motivation and improving problem-solving abilities within Artificial Intelligence-enhanced programming environments. This research offers valuable insights for educators and instructional designers to develop effective strategies that integrate psychological support and Artificial Intelligence tools, ultimately enhancing student learning outcomes.

Harnessing Digital Skills For Academic Success: Unveiling The Power of Learning Motivation in Computational Thinking and Tech Integration Rauf, Annajmi; Fakhri, M. Miftach; Fathahillah, Fathahillah; Surianto, Dewi Fatmarani; Baso, Fadhlirrahman; Arifiyanti, Fitria; Amukune, Stephen
Online Learning In Educational Research (OLER) Vol 4, No 2 (2024): Online Learning in Educational Research
Publisher : CV FOUNDAE

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58524/oler.v4i2.501

The workforce's demand for critical thinking and innovation highlights the need to improve students' problem-solving skills, thus encouraging educational institutions to adopt technology-based strategies for an engaging learning environment. Previous studies have explored the relationship between learning motivation and academic outcomes and the role of technology and web-based media in improving problem-solving skills. However, limited research has comprehensively examined the interaction between computational thinking, technology integration, learning motivation, and student performance. This study aims to examine how Computational Thinking (CT) and Technology Integration (TI) influence Learning Motivation (LM) and Student Performance (SP), providing insights into optimizing digital skills for academic success in the digital age. Data were collected from 426 respondents' university students in Indonesia randomly. A questionnaire with a 5-point Likert scale consisting of several variables such as Computational Thinking, Technology Integration, Learning Motivation, and Student Performance were used in this study. Then, the data were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM) to check the measurement and assessment model. The results showed that CT and TI positively and significantly impacted LM and SP. In addition, LM serves as an important mediator, strengthening the influence of CT and IT on academic outcomes. Specifically, technology integration has a greater impact on LM than CT, while LM significantly improves SP. This study presents a detailed framework for educators to enhance learning experiences by integrating digital skills and fostering student motivation. The findings offer practical implications for developing effective educational strategies that meet the changing demands of the digital age. Future research is recommended to investigate the long-term effects of CT and IT in various educational environments.

AI Literacy Meets Ethics: Critical Appraisal's Mediating Role in Shaping Ethical Awareness in Higher Education Syukur, Pramudya Asoka; Fakhri, M. Miftach; Firdaus, Firdaus; Putra, Kurnia Prima; Adiba, Fhatiah; Arifiyanti, Fitria
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.v5i1.508

As artificial intelligence increasingly permeates higher education systems worldwide, developing students' ethical awareness has become essential for responsible AI implementation. This study seeks to examine the connections between technical understanding, applied knowledge, and critical appraisal in shaping ethical awareness within the context of AI literacy. The study utilizes a quantitative method, applying Partial Least Squares Structural Equation Modeling (PLS-SEM) to data gathered from 322 university students. The findings indicate that technical understanding has a direct favorable influence of 0.180 on ethical awareness, while applied knowledge demonstrates a stronger impact of 0.467. Critical appraisal serves as a significant complementary partial mediator, with indirect path coefficients of 0.083 for technical understanding and 0.155 for applied knowledge, strengthening their relationships with ethical awareness. This study concludes that AI literacy educational programs should not only emphasize technical and applied knowledge but also foster critical appraisal skills to promote ethical AI usage.

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

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.

Integration of EMI (English as Medium of Instruction) through a collaborative teaching scheme to improve the quality of teachers Affandi, Akhmad; Fadlih, Andi Muhammad; Nastah, Mardiyanah; Fakhri , M. Miftach; Mursalim, Muliana
Panrannuangku Jurnal Pengabdian Masyarakat Vol. 5 No. 3 (2025)
Publisher : Lembaga Penelitian dan Pengembangan Teknologi dan Rekayasa, Yayasan Ahmar Cendekia Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/panrannuangku4315

This community service activity aims to improve teachers' ability to implement Collaborative Teaching based on English Medium Instruction (EMI) at SMA Negeri 5 Gowa. The program was carried out using a Participatory Action Research (PAR) approach involving 23 teachers from various subjects. The instrument was in the form of a pre-posttest questionnaire with 20 Likert scale statements (1–5) which included four dimensions: EMI ability, understanding collaborative teaching, collaborative implementation of collaboration, and effectiveness and feedback. The results of the analysis showed a significant increase with an average of +1.27 points in all dimensions. The biggest improvement was in the aspect of collaboration implementation (+1.29), particularly the skill of designing a 20-minute micro-lesson and providing clear collaborative instructions. These findings confirm that the EMI-based Collaborative Teaching Scheme is able to strengthen teacher confidence, increase pedagogical understanding, and foster a peer-mentoring culture in schools. The use of PAR as a framework of service has proven to be effective because it places teachers as active partners in the planning, implementation, and reflection process. The program not only improves short-term skills, but also forms an ecosystem of continuous reflective learning. Thus, this model has the potential to be replicated in other secondary schools as a strategy to improve the quality of education that is in line with the Impact Campus policy and SDGs targets

Co-Authors A. Nurul Uswatun Hasanah Abdul Muis Mappalotteng Adiba, Fhatiah Aditya Alamsyah Syarif Aditya, Roby Agusnaya, Nurrahmah Ahmad Fadhil Imran Ahmar, Ansari Saleh Ainun Zahra Adistia Akbar, Muh. Akhmad Affandi Akis, Dwi Ihza Sari Akmal Hidayat Akmal Hidayat Akmal Hidayat Amelia Syamsuddin Aminuyati Amiruddin Amri Rahman Amri Rahman Amukune, Stephen Ana Sulistiana Alwi Anaguna, Nursyam Ananta Dwi Prayoga Alwy ANDI ABIDAH Andi Akram Nur Risal Andi Baso Kaswar Andi Baso Kaswar Andi Dio Nurul Awalia Andi Naila Quin Azisah Aliasyahbana Andi Nailah Quin Azisah Alisyahbana Andika Isma Annajmi Rauf Anwar Wahid Aprilianti Nirmala S Aprisal Aprisal, Aprisal Aprisal, Aprisal Arifiyanti, Fitria Arsyanda Arya Putra Abshari Asham Bin Jamaluddin Asis Nojeng Asoka Syukur, Pramudya Asri Ismail Asriadi Asriadi Aswi, Aswi Auliyanti Sahril Nurfadhilah Awalia, Andi Dio Nurul Awaliah Fitri Nur Ananda Azis, Fajriani Azisah Alisyahbana, Andi Nailah Quin Baso, Fadhlirrahman Bukhari Naufal Nur Ag Dahniar Dary Mochamad Rifqie Della Fadhilatunisa Devi Miftahul Jannah Dewi Fatmarani Surianto Dewi, Shabrina Syntha Dio Nurul Awalia, Andi Dirawan, Gufran Darma Djawad, Yasser Abd. Dwiasta, Andi Yusdy Edi Suhardi Rahman Elma Nur Jannah Elma Nurjannah Ery Sugito Fadhel Akbar Fadhil Zil Ikram Fadhilarahman Baso Fadhilarahman Baso Faisal Faisal Faizal Arya Samman Fajriani Azis Fajrin, Farid Fardan, Muhammad Fathahillah Fathahillah Firdaus Firdaus FItria Arifiyanti Fitriyanty Dwi Lestary Fizar Syafaat Furqan Ali Yusuf Guillermo Bautista Hajar Dewantara Harisma Dita Ansyar Harisma Dita Ansyar Dita Ansyar Hartono Hasbiah, Sitti Helmy, Ahnaf Riyandirga Ariyansyah Putra Hendra Jaya Hidayat M., Wahyu Ika Wahyu Pratiwi Ilma Wulansari Hasdiansa Indah Febriyani Asril Iriandy, Iriandy Irwansyah Suwahyu Jannah, Devi Miftahul Jumadil Ahmad Safii Jumadil Ahmad Safi’i Karim, Sugeng A. Kelvianto Pratama Harum Kurnia Prima Putra La Ode Lisbar Linggi, Cantika Randa Lu'mu M Syahid Nur Wahid M. Al Ihlas M. Al Ihlas Mangesa, Riana T Mayasari Mayasari, Mayasari Mazidan, A.M Yusran Miftahul Jannah , Devi Mudarris, Mudarris Muh Akbar B Muh Bhilal Halim Muh Juharman Muh. Alif Muh. Bhilal Halim Muh. Bhilal Halim 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 Ansarullah S. Tabbu Muhammad Fadhil Hani Muhammad Fajar B Muhammad Fardan Muhammad Fardan Muhammad Haristo Rahman Muhammad Ibrahim Muhammad Rakib Muhammad Safar Nur Muhammad Takwin Machmud Muhammad Yahya Muhammad Yahya Muhammad Yusuf Mappeasse Mursalim, Muliana Mushaf Namla Elfa Syariati Nastah, Mardiyanah Nirmala S, Aprilianti Nirmala S., Aprilianti NIRMALA, PUTRI Nirmalasari, Aprilianti Nur Annafiah Nur Azizah Ayu Safanah Nur Fadhylah As Nur Qirani Ridhaihi Nur Rahmah Sari Nur Yahya Akhmad Nurdin Nurdin Nurdin Nurhayani nurhayani Nurikhlas Noerpa Gunawan Nurikhlas Nurpa Gunawan Nuril Huda Nuril Huda Nurjannah, Elma Nurrahmah Agusnaya Nursyam Anaguna Olivia, Alya Poewanto, Bobby Pramudya Asoka Syukur Pratama, Muh Idul Akbar Pratiwi, Ika Wahyu Putri Nanda Sari Putri Nirmala Raden Mohamad Herdian Bhakti Radha Hasda Halfis Radhiah Raodahtul Jannah Rauf, Annajmi Rezki Angriani Pratiwi Kadir Ridwan Daud Mahande Rifqa Awalia Roby Aditya Rosidah Rosidah Rosidah Rosidah Rosidah Ryketeng, Masdar S, Aprilianti Nirmala Sabran Saharuddin R. Sokku Sanatang Sapto Haryoko Satnur, Muh. Alham Sembiring, Rinawati Setialaksana, Wirawan - Shabrina Syntha Dewi Shera Afidatunisa Sitti Hasbiah Sitti Muthmainnah Sitti Muthmainnah Sitti Radhiah Soeharto Soeharto Sofyan, Vina Annisa Sudarmanto Jayanegara Suhartono Suhartono Suhartono Sulaiman, Dwi Rezky Anandari Syahrul Syahrul Syamsidah, Syamsidah Syariati, Namla Elfa Syukur, Pramudya Asoka Tabash, Mosab Taufieq, Nur Anny S. Trisakti Akbar Utami, Nurul Mu'tia Vidiyanto, Vidiyanto Wahyu Hidayat M Wahyudi Wahyudi Wahyudi Wulan Purnamasari Wulan Purnamasari S Wulandari WULANDARI Yuanita B Yuanita B Zainuddin, Zainuddin Zul Jalali Wal Ikram

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