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All Journal Jurnal Sains dan Teknologi JOIV : International Journal on Informatics Visualization JITK (Jurnal Ilmu Pengetahuan dan Komputer) Jambura Journal of Informatics Jurnal Pendidikan Teknologi Pertanian Journal of Applied Science, Engineering, Technology, and Education Jurnal Pendidikan dan Profesi Keguruan Jurnal Minfo Polgan (JMP) Jurnal Nasional Teknik Elektro dan Teknologi Informasi Seminar Nasional Pengabdian Kepada Masyarakat Jurnal Ilmiah Edutic : Pendidikan dan Informatika Home Ec INOVASI: Jurnal Hasil Pengabdian Masyarakat Indonesian Journal of Fundamental Sciences Teknovokasi : Jurnal Pengabdian Masyarakat Jurnal Pendidikan Terapan Seminar Nasional Hasil Penelitian LP2M UNM Information Technology Education Journal Jurnal PGSD UNIPOL International Journal of Environment, Engineering, and Education Jurnal Kemitraan Responsif untuk Aksi Inovatif dan Pengabdian Masyarakat Prosiding Seminar Nasional Dies Natalis Universitas Negeri Makassar INDOPEDIA (Inovasi Pembelajaran dan Pendidikan) Jurnal MediaTIK International Journal of Education, Vocational and Social Science Journal of Computers, Informatics, and Vocational Education Jurnal MEKOM: Media Komunikasi Pendidikan Kejuruan IJHABS Media Elektrik UNM Journal of Technology and Vocational Jurnal Vokasi Keteknikan Aksi Kita: Jurnal Pengabdian Kepada Masyarakat
Abdul Muis Mappalotteng
Universitas Negeri Makassar
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Evaluasi Pengukuran Semantik Sinonim KBBI Menggunakan Pendekatan Word Embedding Muhammad Rafli Aditya H.; Muhammad Ilham; Dewi Fatmarani Surianto; Abdul Muis Mappalotteng
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 14 No 2: Mei 2025
Publisher : Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/jnteti.v14i2.17117

Abstract

Kamus Besar Bahasa Indonesia (KBBI) is a primary resource for data in research on determining word-meaning similarity in Indonesian. This study investigates the effectiveness of word embedding methods and the term frequency–inverse document frequency (TF-IDF) weighting technique in assessing the semantic similarity of synonym pairs. The objective is to measure the similarity of synonym word pairs listed in KBBI by applying cosine similarity, leveraging TF-IDF weighting, various word embedding models, and latent semantic analysis (LSA). The methodology involved data collection, followed by a text preprocessing stage consisting of case folding, stopword removal, stemming, and tokenization. The processed data were transformed into vector representations using word embedding models, including Word2Vec, fastText, GloVe, and sentence-bidirectional encoder representations from transformers (S-BERT), and TF-IDF. LSA was employed for dimensionality reduction of the vectors before similarity testing using cosine similarity, with final evaluation of the results. The findings revealed that fastText significantly improved the similarity scores between synonym pairs, achieving an average similarity score of 0.901 for 30 synonym pairs. Evaluation results indicated an accuracy of 0.88, a recall of 1.00, a precision of 0.81, and an F1 score of 0.90. These results suggest that fastText is more effective in enhancing the accuracy of synonym meaning similarity measurements. Future research is encouraged to expand the corpus and further explore the use of word embedding for semantic similarity tasks. This study contributes to the natural language processing advancement and provides a potential foundation for more accurate language-based applications that assess word meaning similarity in KBBI.
Pengembangan Sistem Informasi Nilai Mahasiswa Berbasis Web Dengan Fitur Sms Autoreply Musawwir, Musawwir; Yusuf, Andi M.; Saidy, Hamdy Nur; Adivar, Ahmad; Taris, Lu’mu; Mappalotteng, Abdul Muis; Asrul, Asrul
Jurnal Minfo Polgan Vol. 14 No. 1 (2025): Artikel Penelitian
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/jmp.v14i1.15118

Abstract

Sistem Informasi Nilai Mahasiswa Berbasis Web dengan Layanan SMS Autoreply merupakan sistem penyampaian nilai untuk mahasiswa yang di implementasikan menggunakan pemrograman PHP dan MySQL. Penelitian ini bertujuan untuk memudahkan dalam melakukan penginputan dan penyampaian nilai kepada mahasiswa sehingga tidak lagi berfokus kepada media manual (kertas) dan website saja untuk melihat nilai. Selain berbasis web, sistem informasi ini memiliki layanan sms autoreply untuk mempermudah akses informasi nilai secara cepat dan mudah. Penelitian ini merupakan penelitian pengembangan perangkat lunak (software development) dengan menggunakan model prototyping. Data penelitian diperoleh dengan observasi dan studi pustaka. Penelitian ini telah menghasilkan sebuah sistem informasi nilai yang dapat mempermudah pengguna untuk mendapatkan informasi nilai secara efektif dan efisien, bisa langsung di akses serta informasi dapat tersampaikan dengan baik. Hasil penelitian disimpulkan bahwa sistem informasi nilai mahasiswa berbasis web dengan layanan sms autoreply dapat membantu proses pengelolaan nilai sehingga memudahkan dalam melakukan penginputan nilai dan membantu dalam menyampaikan informasi nilai kepada mahasiswa sehingga proses penginputan dan penyampaian nilai menjadi lebih efisien.
PENGEMBANGAN MODEL PEMBELAJARAN SOFT SKILL PADA SEKOLAH MENENGAH KEJURUAN Ansar; Yahya, Muhammad; Mappalotteng, Abdul Muis
UNM Journal of Technology and Vocational Volume 9, Issue 2, June (2025)
Publisher : Program Studi S2 Pendidikan Teknologi dan Kejuruan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26858/ujtv.v9i2.6883

Abstract

Unemployment and the competitiveness of human resources are the main challenges for Indonesia, compounded by the demographic bonus of 2030-2040. Industry 4.0 demands adaptive vocational education, focusing on multi-skills, psychomotor skills, and soft skills. Vocational high school graduates often lack mental readiness and soft skills, even though their hard skills are adequate. This research aims to determine the results of developing a soft skills model for Vocational High School teachers, to ascertain whether the developed Vocational High School soft skills model meets the criteria of validity, practicality, and effectiveness, and to understand students' responses to the developed soft skills-based model. This research uses a type of research and development with relevant locations and subjects, through a development procedure that includes needs analysis, model design, material development, program implementation, and model evaluation; the data collected includes both qualitative and quantitative data, using techniques such as interviews, observations, documentation, and questionnaires, which are analyzed using descriptive and inferential data analysis techniques to test the validity, practicality, and effectiveness of the developed product. The research results show that the developed soft skills model meets the criteria of being valid, practical, and effective, and received positive responses from the students. This emphasizes the importance of integrating soft skills into vocational education to enhance graduates' readiness to face the competitive job market in the era of Industry 4.0.
Development of Augmented Reality Based Simulation Media For Computer And Network Engineering Competency in Vocational High Schools Riska, Muhammad; Syahrul; Mappalotteng, Abdul Muis
International Humanity Advance, Business & Sciences Vol 3 No 1.1 (2025): Special Issue
Publisher : PT Maju Malaqbi Makkarana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59971/ijhabs.v3i1.1.336

Abstract

This study aimed to develop and evaluate Augmented Reality (AR)-based simulation media to enhance the Computer and Network Engineering (TKJ) competency in Vocational High Schools (SMK). Employing a Research and Development (R&D) approach, the product was designed as an Android application that integrates interactive 3D models of networking devices, marker-based visualization, and guided configuration tutorials. The development process included needs analysis, design, systematic development, implementation, evaluation, and revision stages. Participants were TKJ teachers and Grade XI students from three SMKs in South Sulawesi, Indonesia. Data were collected through interviews, questionnaires, expert validation, and pre-test/post-test assessments. The results showed a validity score of 98.14% (very valid), practicality score of 97.09% (very practical), and effectiveness with an N-Gain of 0.97 (high). User responses recorded 85.88% positive feedback, indicating high engagement and perceived usefulness. The findings demonstrate that AR simulation media can effectively bridge the gap between theoretical instruction and practical skill development, especially in schools with limited physical resources. Its portability, ease of use, and alignment with vocational learning principles make it a promising solution for improving instructional quality and supporting the revitalization of vocational education.
PENGEMBANGAN MODUL PEMBELAJARAN BERBANTUAN APLIKASI SIMULASI CISCO PACKET TRACER Risnawaty; Muhammad Yahya; Abdul Muis Mappalotteng
UNM Journal of Technology and Vocational Volume 9, Issue 2, June (2025)
Publisher : Program Studi S2 Pendidikan Teknologi dan Kejuruan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26858/ujtv.v9i2.7415

Abstract

Penelitian ini bertujuan untuk mengembangkan modul pembelajaran berbantuan aplikasi siumulasi cisco packet tracer pada mata pelajaran administrasi infrastruktur jaringan kelas XI Teknik Komputer dan Jaringan pada SMK. Jenis penelitian yang digunakan adalah penelitian dan pengembangan (Research and Development/ R&D). Prosedur pengembangan mengacu pada model ADDIE. Pengumpulan data menggunakan observasi, wawancara dan angket. Instrumen yang digunakan dalam penelitian ini adalah angket dengan skala pengukuran yang digunakan adalah skala Likert. Teknik analis yang digunakan adalah Teknik analisis data kualitatif yaitu dapat diperoleh dari hasil wawancara dan data juga diperoleh dari hasil angket validator ahli media dan ahli materi pada bagian komentar atau sarannya dan Teknik analisis data kuantitatif adalah metode yang digunakan untuk mengolah dan menganalisis data numerik(angka)dengan menggunakan statistik dan perhitungan matematis. Hasil data kevalidan modul sebesar 83% oleh ahli media dan hasil 86% oleh ahli materi dengan kategori “sangat valid”. Hasil data kepraktisan diperoleh berdasarkan hasil angket siswa sebesar 85% dengan kategori “sangat praktis”. Hasil data keefektifan diperoleh berdasarkan hasil belajar siswa pada nilai pretest-posttest sebesar 75% dengan kategori “efektif” dan memperoleh peningkatan hasil belajar dengan rata-rata 0,64% pada kategori “sedang”. Hasil ini menunjukkan modul pembelajaran layak digunakan dan diimplementasikan pada mata pelajaran Administrasi Infrastruktur Jaringan kelas XI SMK Jurusan Teknik Komputer Dan Jaringan.
Sistem Early Warning Deteksi Malfungsi pada Motor Listrik 3 Fasa Menggunakan Mikrokontroler Berbasis Lora Terintegrasi Scada Muhammad Irfan; Abdul Muis Mappalotteng; Muhammad Yusuf Mappeasse
JST (Jurnal Sains dan Teknologi) Vol. 14 No. 1 (2025): April
Publisher : Universitas Pendidikan Ganesha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23887/jstundiksha.v14i1.92384

Abstract

Motor listrik tiga fasa banyak digunakan dalam berbagai industri, namun seringkali menghadapi risiko malfungsi yang dapat menyebabkan downtime yang merugikan serta biaya pemeliharaan yang tinggi. Masalah ini menjadi perhatian penting dalam upaya meningkatkan efisiensi operasional dan mengurangi kerugian akibat kerusakan yang tidak terdeteksi lebih awal. Penelitian ini bertujuan untuk mengembangkan sistem peringatan dini (Early Warning System) berbasis mikrokontroler dan teknologi LoRa yang terintegrasi dengan SCADA (Supervisory Control and Data Acquisition) untuk mendeteksi malfungsi pada motor listrik tiga fasa. Sistem ini dirancang untuk memantau parameter kritis motor seperti tegangan, arus, suhu, dan kecepatan putaran (RPM) secara real-time. Data dari sensor dikirim melalui komunikasi LoRa ke base station untuk dianalisis dan mendeteksi anomali operasional yang berpotensi menyebabkan kerusakan. Integrasi dengan SCADA memungkinkan pemantauan visual dan otomatisasi peringatan dini terhadap kondisi kritis. Metode penelitian yang digunakan adalah Research and Development (R&D), yang meliputi tahapan pengumpulan kebutuhan, desain, pembangunan prototipe, evaluasi, dan pengembangan. Hasil pengujian menunjukkan bahwa sistem ini mampu mendeteksi malfungsi dengan akurasi yang baik, dengan kesalahan pengukuran sensor arus, tegangan, suhu, dan RPM masing-masing sebesar 1,98%, 2,9%, 3,7%, dan 3,7%. Sistem ini efektif dalam mengurangi risiko downtime serta meningkatkan efisiensi pemeliharaan motor listrik tiga fasa.
PKM Pelatihan Penerapan Solar Cell Muchtar, Akhyar; Fathahillah, Fathahillah; Prasojo, Kholik; Mappalotteng, Abdul Muis; Suhardi, Iwan
Jurnal Kemitraan Responsif untuk Aksi Inovatif dan Pengabdian Masyarakat Volume 2 Issue No. 1: July 2024
Publisher : Lontara Digitech Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61220/kreativa.v2i1.20245

Abstract

Program Pelatihan Penerapan Solar Cell (PKM) bertujuan untuk memberikan pemahaman mendalam tentang teknologi panel surya dan aplikasinya dalam kehidupan sehari-hari. Pelatihan ini mencakup berbagai aspek, mulai dari pemahaman dasar tentang konsep energi surya hingga teknik instalasi dan pemeliharaan panel surya. Peserta akan dibekali dengan pengetahuan praktis dan keterampilan yang diperlukan untuk merancang, menginstal, dan mengelola sistem panel surya yang efisien dan berkelanjutan. PKM ini bertujuan untuk memperluas pengetahuan tentang energi terbarukan dan mempromosikan penerapannya di masyarakat secara lebih luas. Dengan demikian, diharapkan bahwa pelatihan ini akan memberikan kontribusi positif terhadap upaya global dalam menghadapi tantangan perubahan iklim dan meningkatkan ketersediaan energi bersih.
PENGEMBANGAN MEDIA PEMBELAJARAN E-MODUL PENGETAHUAN DAN PEMELIHARAAN ALAT JAHIT Nurwana; Muhammad Yahya; Abdul Muis Mappalotteng
UNM Journal of Technology and Vocational Volume 9, Issue 3, October (2025)
Publisher : Program Studi S2 Pendidikan Teknologi dan Kejuruan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26858/ujtv.v9i3.6632

Abstract

The purpose of this study is to determine the needs analysis, research design, relevance, practicality, and effectiveness of the digital education module. One type of applied research is research and development (R&D). The development process refers to the ADDIE model. Data will be collected through observation, interview, and questionnaire methods. During the initial phase of development, a needs analysis conducted based on observations and interviews with course instructors revealed that students with limited skills and time constraints were the group most affected by technology. The research design shows that the E-module was developed using Canva and FlippingBook applications. The results of the validity of the module's data showed a score of 95% for media experts and 97% for material experts, which was included in the category of very valid. The results of practical relevance data were obtained from a survey conducted on students, where 81.33% of respondents categorized the module as very practical. The results of the effectiveness data were determined based on the achievement of student learning outcomes, with the pre-test and post-test scores in the effective category with a score of 74.35 points and the average improvement in learning outcomes in the high category with a score of 0.74 points. Based on the results of this study, it can be concluded that this E-module is useful and can be implemented in the course "Knowledge and Maintenance of Sewing Tools" in the Diploma 3 (D3) Fashion Design Program, Faculty of Engineering, State University of Makassar
Cyberlearning Model with Microlearning Strategies to Enhance Edutechpreneurship Skills for University Students H., Nurhikmah; Mappalotteng, Abdul Muis; Hakim, Abdul; Dewi, Laksmi; Hidayanti, Abna; Dewi, Utari
Journal of Applied Science, Engineering, Technology, and Education Vol. 7 No. 3 (2025)
Publisher : PT Mattawang Mediatama Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/454RI.asci4363

Abstract

The rapid growth of the education technology (edutech) sector demands the development of entrepreneurial skills among university students to foster innovation and address educational challenges. This study employed the 4D instructional design model—Define, Design, Develop, and Disseminate—by creating an online platform that features personalized learning paths, interactive modules, collaborative tools, and real-time analytics. This research design was employed with 100 university students specializing in education and technology. Over eight weeks, participants engaged with microlearning modules focused on key entrepreneurial concepts and collaborated on projects simulating real-world Edutech scenarios. The findings show that online microlearning models prioritize technological accessibility, quality content, engagement, and flexibility, which are in high demand. Microlearning with short modules and interactive videos improves comprehension and engagement. Task and Concept Analyses frame learning and deepen understanding of key concepts, enabling students to apply learning outcomes. The cyberlearning model used criterion-referenced exams, evaluation tools, and interactive media like short movies, infographics, and gamification to increase edutechpreneurship. A Wilcoxon Signed Rank Test analysis revealed a significant difference between pre-test and post-test scores (p-value < 0.05). The cyber learning model boosted students' Edutechpreneurship skills. Edutechpreneurship, which combines educational technology and entrepreneurship, improves online learning and promotes entrepreneurship. This model requires entrepreneurship education in online learning platforms. This research offers valuable insights into innovative educational practices that prepare students to lead and innovate in the evolving EdTech industry. The model is effective and relevant to augment depth, readability, and personalization for an optimal learning experience
CLASSIFICATION OF PAPAYA NUTRITION BASED ON MATURITY WITH DIGITAL IMAGE AND ARTIFICIAL NEURAL NETWORK Andi Ahmad Taufiq; Hanum Zalsabilah Idham; Muh Fuad Zahran Firman; Andi Baso Kaswar; Dyah Darma Andayani; Muhammad Fajar B; Abdul Muis Mappalotteng; Andi Tenriola
JITK (Jurnal Ilmu Pengetahuan dan Teknologi Komputer) Vol. 11 No. 2 (2025): JITK Issue November 2025
Publisher : LPPM Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/jitk.v11i2.7070

Abstract

Papaya is a tropical fruit with high nutritional content and significant health benefits. Nutritional components such as sugars, vitamin C, and fibre are strongly influenced by ripeness level. Identifying these nutrients usually requires laboratory tests that are time-consuming and rely on sophisticated equipment. Previous studies have focused on classifying ripeness levels, yet none have specifically addressed the classification of nutritional content. This study proposes a classification system for papaya nutrition based on ripeness using digital image processing and artificial neural networks (ANN). The method consists of six stages: image acquisition, preprocessing, segmentation, morphology, feature extraction, and classification with a trained ANN model. Experiments were conducted to evaluate feature combinations, including colour and texture features. The combination of LAB colour features and texture features-contrast, correlation, energy, and homogeneity-produced the best results. Testing on 75 images achieved an average precision of 97.22%, recall of 96.67%, F1-Score of 96.80%, and accuracy of 97.33%, with an average computation time of 0.02 seconds per image. These findings indicate that the proposed method provides fast and highly accurate classification of papaya’s nutritional content, offering a practical alternative to laboratory testing. Nevertheless, the study is limited by the relatively small dataset and controlled acquisition environment. Future research should extend the dataset, incorporate deep learning approaches, and validate performance under real-world conditions to enhance robustness and generalization
Co-Authors Abduh, Ibrahim Abdul Hakim Abna Mufid Kadir Adivar, Ahmad Adriyansah Adriyansah Ahmad Rifqi Asrib Ainul Hidayah Akhyar Muchtar, Akhyar Al Imran Al Imran al Imran Imran Aldiansyah Nur Alam Alimuddin Sa’ban Miru Alimuddin Sa’ban Miru Amirah Mustarin Anas Arfandi Anas Arfandi Anas Arfandi Andi Ahmad Taufiq Andi Baso Kaswar Andi Baso Kaswar Andi Syahrul Darmawan Andi Tenriola Ansar Ardila Eltari Ningtiyas Ardiwijoyo, Ardiwijoyo Asrul Asrul AYU LESTARI Ayu Lestari BAKHRANI RAUF Budi Afandi Darlan Sidik Darmawang, Darmawang Dewi Fatmarani Surianto Dewi Triantini Dian Ekawati Nur Dian Hardianti Eka Lestari Dirawan, Gufran Darma Djawad, Yasser Abdul Edi Suhardi Rahman Ervi Novitasari Fachrum Firdaus Faradiba Fahnun Putri Fathahillah Fathahillah Fathahillah Fiskia Rera Baharuddin Fitri Fitri Fitria Fitria H, Nurhikmah Hading, Sitti Aisyah Haeril Hamsu Abdul Gani Hamsu Abdul Gani Hanum Zalsabilah Idham Haripuddin Hasrul Hasrul Helmi Said Hendra Jaya Hengki Wijaya Hermila A Hidayanti, Abna Husna Saleh Indah Melisa Indah Melisa Irham Halik Irwansya Irwansya Ivan Th. J. Weismann, Ivan Th. J. Iwan Suhardi Jamaluddin Jamaluddin Kholik Prasojo Laksmi Dewi, Laksmi Laode Muh ZulFardin Syah M. Arwan Setiawan M. Miftach Fakhri M. Syahid Nur Wahid M. Tawahido, Rezki Musbahin Mahdaniar Mahdaniar Mahdaniar Mangesa, Riana T Marhayati Mhammad Fadhil Fikri Miru, Alimuddin Sa'ban Muh Abi Zaid Alkhudri Muh Ardi Muh Fuad Zahran Firman Muh Nasir Malik Muh Yahya Muh. Ichsan Ali Muh. Nasir Malik Muh. Nasir Malik Muhammad agung Muhammad Agung Muhammad Akil, Muhammad Muhammad Fadhil Fikri Muhammad Fajar B Muhammad Ichsan Ali MUHAMMAD ILHAM Muhammad Ilyas Syarif muhammad irfan Muhammad Irfan Muhammad Julmawansa Abdullah Muhammad Nasir Malik Muhammad Rafli Aditya H. Muhammad Yahya Muhammad Yahya Muhammad Yahya Muhammad Yusuf Mappeasse Muhammad Yusuf Mappeasse Mukhlisin Mukhlisin Mukhlisulfatih Latief Muliadi Muntazarah, Fediyatun Musawwir, Musawwir Mustamin Mustari S Lamada Mutiara Mutmainna Nahriana Nahriana Nasrullah, Asmaul Husnah NFH, Alifyah Ni Nyoman Seri Dewi Ninik Septyani Ninik Septyani Nugrah Wulandari AL Nugrah Wulandari AL Nur Ainun Nur Ainun Najibah Nur Alam Fajar Nur Rahmawati Nur Syamsinar Munir Nur, Hasanah - Nur, Istar Al Fatih Malik Nurfidah Nuridayanti, Nuridayanti Nurmila Nurul Mukhlisah Abdal Nurwana Parenreng, Jumadi M. Parenrengi, Syafiuddin Patang Perdana, Am Akbar Mabrur Purnamawati Purnamawati Purnamawati Purnamawati Putri Nanda Sari Raturayawan Reski, Andi Riana T Mangesa Riana T. Mangesa Riana Tangin Mangesa Rida Aulia Fitri Rimba Saputra Riska, Muhammad Riskayani Riskayani Risma Niswaty Risnawaty Rosdiana Rosdiana Rosdiana Ruslan Ruslan Saharuna Saidy, Hamdy Nur Sakwati Abidin Sanatang Sapto Haryoko Siti Rahmawati Sri Ayu Ashari Sri Mentari Pattola SRI WULANDARI Sri Wulandari Sugeng A. Karim Sukma Riski Ananda Supriadi Supriadi Supriadi Suryadi Syamsu, Suryadi Syafiuddin Panrenrengi Syafiuddin Syafiuddin Syahru Syahrul Syahrul Syahrul Syahrul Syahrul Syamsidah Syamsurijal Taris, Lu’mu Utari Dewi Yasser Abd. Djawad Yermia Yunus Yermia Yunus Yuanisah, Aulia Indah Yuanita B Yuliati Hafid Yusuf, Andi M. Zainuddin Zainuddin Zainuddin, Zainuddin