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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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Explaining Tax Digitalization Adoption: The Mediating Role of Digital Literacy in the Effects of AI-Driven Automation, Effort Expectancy, and Facilitating Conditions Fadhilatunisa, Della; Fakhri, M. Miftach; Nirmalasari, Aprilianti; Awalia, Andi Dio Nurul; Soeharto, Soeharto
Journal of Economic Education and Entrepreneurship Studies Vol. 6 No. 3 (2025): VOL. 6, NO. 3 (2025): JE3S, SEPTEMBER 2025
Publisher : Department of Economics Education, Faculty of Economics, Universitas Negeri Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62794/je3s.v6i3.9399

Abstract

The acceleration of tax digitalization through artificial intelligence (AI) has redefined modern taxation systems; however, its success largely depends on users’ digital literacy and readiness to embrace automation. This study investigates the mediating role of digital literacy in the relationship between AI-driven automation, facilitating conditions, and effort expectancy on tax digitalization adoption in Indonesia. Employing a quantitative approach with a cross-sectional survey design, data were collected from 161 individual and professional taxpayers using purposive sampling methods. The analysis was conducted using Partial Least Squares Structural Equation Modeling (PLS-SEM). The results demonstrate that digital literacy exerts the strongest direct and significant influence on the adoption of tax digitalization. It also mediates the effects of AI-driven automation and facilitating conditions, whereas effort expectancy shows a positive but statistically insignificant relationship. These findings underscore that digital literacy is not merely a supporting factor but a fundamental determinant of successful digital tax transformations. This study implies that policies aimed at promoting tax digitalization should prioritize digital literacy enhancement through systematic education, technical training, and user-friendly system design. By strengthening digital competence, tax authorities can increase user engagement, improve compliance, and facilitate an equitable digital transformation within tax administration.
The Role of Artificial Intelligence in Improving Students' Self-Regulated Learning through Adaptive Feedback in Facing Socioeconomic Inequality Nurjannah, Elma; Andi Dio Nurul Awalia; Agusnaya, Nurrahmah; Fakhri, M. Miftach
Jurnal MediaTIK Volume 8 Issue 3, September (2025)
Publisher : Jurusan Teknik Informatika dan Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/mediatik.v8i3.10808

Abstract

The transformation of higher education through artificial intelligence is increasingly relevant in addressing the challenges of access, quality, and diversity of student learning needs. Although this technology promises a more adaptive and personalized learning experience, its use is still influenced by socioeconomic inequalities that create gaps in access to and perceptions of technology. This study aims to analyze how artificial intelligence, through cognitive and affective feedback, can improve students' independent learning abilities, with motivation as an intermediary variable and socioeconomic status as an external factor that influences the effectiveness of technology utilization. This study uses a quantitative approach with a cross-sectional design. The instrument, in the form of a structured questionnaire with a Likert scale, was distributed to 450 students from various universities in Indonesia. The questionnaire was compiled based on theoretical indicators from five main constructs and validated through convergent validity and construct reliability tests using outer loading and average variance extracted. The data were analyzed using partial least squares structural equation modeling to test direct and indirect causal relationships, as well as the mediating role between variables. The main results show that artificial intelligence supports students in understanding material in a structured manner and increases emotional engagement, which ultimately strengthens self-regulation and meaning-making in the learning process. Motivation was found to be a significant link between technology and learning outcomes, while socioeconomic background significantly influenced the intensity of technology use. This study concludes that artificial intelligence can be an effective and inclusive learning innovation if it is developed with consideration of cognitive, affective, motivational, and social inequality aspects in education.
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.
The Effect Of Ai Literacy, Ethics, And Motivation On Student Learning Gains Shofiyah Rosyadah; Ahmad Siddiq Mappatunru; Aprilianti Nirmala S; M. Miftach Fakhri
Jurnal Pendidikan Terapan Vol 3, No 3 September (2025)
Publisher : Sakura Digital Nusantara

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

Abstract

The increase in the use of artificial intelligence (AI) in higher education is happening faster than the readiness of literacy and ethical frameworks, thus creating a need to understand the factors that influence the effectiveness of AI utilization on student learning outcomes. This study aims to examine the influence of AI Literacy, AI Ethical Awareness, and Motivation to Learn with AI on Learning Gains and to identify the most dominant predictors. The study used a cross-sectional quantitative design with a sample of university students in Makassar selected through purposive sampling. The measurement of motivation adapted some items from the Academic Motivation Scale (AIMS) that had been psychometrically tested prior to structural analysis. The model was evaluated using Partial Least Squares Structural Equation Modeling (PLS-SEM). The results showed that the three independent variables had a positive and significant effect on Learning Gains, with coefficients β = 0.208 for AI Literacy, β = 0.236 for AI Ethical Awareness, and β = 0.358 for Motivation to Learn with AI. The R² value of 0.532 indicates the model's explanatory power in the moderate category. The f² effect size shows that motivation makes the largest contribution (0.329), while AI Literacy and AI Ethical Awareness have a small effect. Thus, motivation emerges as the strongest predictor, confirming that the successful integration of AI in learning depends not only on technical competence and ethical awareness, but also on the affective dimension of students. These findings contribute to the development of AIED studies and motivation theory, and emphasize the importance of educational strategies that balance literacy, ethics, and motivational support.
Peningkatan Literasi Pajak Mahasiswa Kewirausahaan Melalui Program Sosialisasi Pajak Della Fadhilatunisa; M. Miftach Fakhri; Andika Isma; Akhmad Affandi; Hartono Hartono
Jurnal Sipakatau: Inovasi Pengabdian Masyarakat Vol. 1 No. 1 (2023): December
Publisher : PT. Global Research Collaboration

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61220/jsipakatau.v1i1.231

Abstract

This programme proposes and evaluates the implementation of a training programme titled "Improving Entrepreneurship Students' Tax Literacy Through Tax Socialisation Programme" which aims to improve tax understanding and skills of tax literacy among students majoring in entrepreneurship. A preliminary study was conducted to analyse the level of tax literacy and students' needs, providing a basis for designing an appropriate socialisation programme. The implementation of the programme was carried out in accordance with the plan and schedule that had been set. Evaluation was conducted through monitoring participants' participation and their responses during the socialisation activities.  The results of this study are expected to provide insight into the effectiveness of tax socialisation programmes in improving the tax literacy of entrepreneurship students. The conclusions from this study can provide a basis for the development of similar programmes in various higher education contexts and different disciplines.
Peningkatan Soft Skill Melalui Program Pelatihan Bebras Challenge Untuk Meningkatkan Kemampuan Computational Thinking Siswa SMK Nuril Huda; Ika Wahyu Pratiwi; Ery Sugito; Ahmad Fadhil Imran; M. Miftach Fakhri
Jurnal Sipakatau: Inovasi Pengabdian Masyarakat Vol. 1 No. 1 (2023): December
Publisher : PT. Global Research Collaboration

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61220/jsipakatau.v1i1.232

Abstract

ABTRACT The purpose of this service activity is to improve the Computational Thinking (CT) skills of vocational students through the Bebras Challenge training program. Since its introduction by Wing in 2006, CT has become a major focus in science, technology, engineering and math (STEM) education. In the context of this service activity, some of the problems identified involved students' lack of proficiency in CT, ignorance of Bebras Challenge activities, and lack of promotion of the use of the internet in CT learning. This training was carried out by applying lecture methods, question and answer sessions, and exercises/practices. The results of the implementation of this service activity show that students can apply Computational Thinking to solve everyday problems. This service method proved effective in motivating students and teachers to actively use technology as a CT learning tool. In addition, this training helps students to better understand the types of challenges faced in Bebras and the concept of CT.
Peningkatan Kompetensi Front End Web Programming: Pelatihan Bahasa Pemrograman HTML dan CSS bagi Mahasiswa M. Miftach Fakhri; Muhammad Fardan; Muhammad Alif Leo; Wulandari Wulandari; Muh. Dadang Hawari
Jurnal Sipakatau: Inovasi Pengabdian Masyarakat Vol. 1 No. 1 (2023): December
Publisher : PT. Global Research Collaboration

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61220/jsipakatau.v1i1.235

Abstract

This program proposes and evaluates the implementation of a training programme titled "Improving Students' Front-End Competencies by focusing on HTML and CSS" to prepare students' web programming competencies. A preliminary study was conducted to analyse students' initial HTML and CSS competency levels which will provide the basis for designing an appropriate training programme. The implementation of the programme was carried out in accordance with the plan and schedule that had been set. Evaluation was conducted through monitoring participants' participation and their responses during the socialisation activities.  The results of this study are expected to provide insight into the effectiveness of a programme to improve HTML and CSS skills in building front end websites. The conclusion of this research can provide a basis for the development of students' web programming front end competence in HTML and CSS.
Inclusive Competitiveness through AI Use in Informal SMEs: Evidence from an Extended TAM–TOE Model Andi Naila Quin Azisah Alisyahbana; Ririn Mardhani Syakur; Andika Isma; M. Miftach Fakhri; Hajar Dewantara
Journal of Economic Education and Entrepreneurship Studies Vol. 6 No. 4 (2025)
Publisher : Department of Economics Education, Faculty of Economics, Universitas Negeri Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62794/je3s.v6i4.2

Abstract

Informal SMEs are pivotal to inclusive growth, yet capability and infrastructure constraints often limit the effective use of artificial intelligence (AI). This study examines how organizational and technological conditions shape inclusive competitiveness through AI use in Indonesian informal SMEs by extending the Technology Acceptance Model (TAM) with Technology–Organization–Environment (TOE) factors and IS-success attributes. Using a cross-sectional survey of 559 SME owners/managers and partial least squares structural equation modeling (PLS-SEM), we test pathways from organizational competence and readiness, system quality, and service quality to perceived usefulness (PU) and perceived ease of use (PEOU), and ultimately to AI usage. Results show that PU and PEOU strongly predict AI usage, and PEOU also reinforces PU. Organizational readiness and system quality significantly enhance both PU and PEOU, while organizational competence primarily strengthens PU rather than PEOU. Service quality improves PEOU but does not significantly affect PU. Mediation tests confirm that PU and PEOU transmit key organizational and technological effects to AI usage. The findings suggest that policies and managerial interventions targeting readiness-building (skills, resources, governance) and robust system design are essential to translate AI adoption into sustained utilization and more inclusive business competitiveness in the informal economy.
Artificial Intelligence Over-Reliance Mediates Performance Expectancy, Social Influence, and Inert Thinking in University Students Novianti, Andi Fitri; Mappeasse, Muhammad Yusuf; Fakhri, M. Miftach; Jannah, Devi Miftahul
Tadris: Jurnal Keguruan dan Ilmu Tarbiyah Vol 11 No 1 (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.v11i1.29451

Abstract

The rapid integration of artificial intelligence (AI) in higher education is reshaping students’ learning behaviors and cognitive engagement. Although AI tools enhance academic efficiency, excessive reliance on these technologies may unintentionally foster inert thinking by reducing independent cognitive processing. This study investigates the mediating role of over-reliance on artificial intelligence in the relationship between performance expectancy, social influence, and inert thinking among university students. A quantitative cross-sectional survey was conducted with 342 undergraduate students from multiple universities. Data were collected using a structured questionnaire grounded in technology acceptance theory and cognitive learning perspectives and analyzed through Partial Least Squares Structural Equation Modeling (PLS-SEM). The results indicate that performance expectancy and social influence significantly predict students’ over-reliance on AI, which in turn significantly mediates their relationship with inert thinking tendencies. These findings suggest that while AI-supported learning environments improve task performance, excessive dependence on AI may weaken students’ independent cognitive engagement. This study contributes empirical evidence to the emerging literature on AI-mediated learning by clarifying the cognitive risks associated with AI dependency and highlighting the importance of designing balanced AI-integrated instructional environments that promote responsible use while sustaining critical thinking development.
Explaining Tax Digitalization Adoption: The Mediating Role of Digital Literacy in the Effects of AI-Driven Automation, Effort Expectancy, and Facilitating Conditions Della Fadhilatunisa; M. Miftach Fakhri; Aprilianti Nirmalasari; Andi Dio Nurul Awalia; Soeharto Soeharto
Journal of Economic Education and Entrepreneurship Studies Vol. 6 No. 3 (2025)
Publisher : Department of Economics Education, Faculty of Economics, Universitas Negeri Makassar

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

Abstract

The acceleration of tax digitalization through artificial intelligence (AI) has redefined modern taxation systems; however, its success largely depends on users’ digital literacy and readiness to embrace automation. This study investigates the mediating role of digital literacy in the relationship between AI-driven automation, facilitating conditions, and effort expectancy on tax digitalization adoption in Indonesia. Employing a quantitative approach with a cross-sectional survey design, data were collected from 161 individual and professional taxpayers using purposive sampling methods. The analysis was conducted using Partial Least Squares Structural Equation Modeling (PLS-SEM). The results demonstrate that digital literacy exerts the strongest direct and significant influence on the adoption of tax digitalization. It also mediates the effects of AI-driven automation and facilitating conditions, whereas effort expectancy shows a positive but statistically insignificant relationship. These findings underscore that digital literacy is not merely a supporting factor but a fundamental determinant of successful digital tax transformations. This study implies that policies aimed at promoting tax digitalization should prioritize digital literacy enhancement through systematic education, technical training, and user-friendly system design. By strengthening digital competence, tax authorities can increase user engagement, improve compliance, and facilitate an equitable digital transformation within tax administration.
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