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All Journal NOTARIUS Jurnal Kesehatan Lingkungan indonesia Semantik Techno.Com: Jurnal Teknologi Informasi Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI) Abdimas PRIVATE LAW Journal of Economics, Business, & Accountancy Ventura The Indonesian Accounting Review JAIS (Journal of Applied Intelligent System) Jurnal Teknik Sipil Journal of Information System Majalah Lontar Journal of Development Research JOIV : International Journal on Informatics Visualization Sinkron : Jurnal dan Penelitian Teknik Informatika International Journal of Artificial Intelligence Research AKRUAL: Jurnal Akuntansi FENOMENA Al Qalam: Jurnal Ilmiah Keagamaan dan Kemasyarakatan Jurnal Meta-Yuridis Martabe : Jurnal Pengabdian Kepada Masyarakat Voice Of Informatics Fair Value: Jurnal Ilmiah Akuntansi dan Keuangan Jurnal Pengabdian Hukum Indonesia (Indonesian Journal of Legal Community Engagement) JPHI JURIKOM (Jurnal Riset Komputer) JURTEKSI AT-TURAS: Jurnal Studi Keislaman Jurnal Ilmu Manajemen dan Akuntansi Terapan Indonesian Journal of Advocacy and Legal Services Proceedings of Annual Conference for Muslim Scholars Manajemen Agribisnis: Jurnal Agribisnis Abdimasku : Jurnal Pengabdian Masyarakat Seminar Nasional Hukum Universitas Negeri Semarang Budapest International Research and Critics Institute-Journal (BIRCI-Journal): Humanities and Social Sciences Jurnal Teknik Informatika (JUTIF) International Journal of Educational Research and Social Sciences (IJERSC) Sibatik Journal : Jurnal Ilmiah Bidang Sosial, Ekonomi, Budaya, Teknologi, Dan Pendidikan Jurnal Bisnis Mahasiswa An Nawawi Audito Comparative Law Journal (ACLJ) Abimanyu: Journal of Community Engagement Jurnal Multidisiplin Dehasen (MUDE) Jurnal Locus Penelitian dan Pengabdian Jurnal Pengabdian Masyarakat Bhinneka Al-Istinbath: Jurnal Hukum Islam Proceeding International Conference on Malay Identity J-ABDIPAMAS (Jurnal Pengabdian Kepada Masyarakat) Electronic Journal of Education, Social Economics and Technology Al-Musyrif : Jurnal Bimbingan dan Konseling Islam Managere: Indonesian Journal of Educational Management Amsir Accounting & Finance Journal JUDIKAT: Jurnal Pengabdian Kepada Masyarakat Jurnal Pengabdian Masyarakat Kesehatan Indonesia FENOMENA: Journal of Social Science Journal of Law and Legal Reform Scientific Journal of Informatics Media Penelitian dan Pengembangan Kesehatan Jurnal Pengabdian Hukum Indonesia Indonesian Journal of Advocacy and Legal Services Journal of Business and Information System
Pujiono Pujiono
Fakultas Ilmu Komputer, Universitas Dian Nuswantoro Semarang
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PEMBERDAYAAN MASYARAKAT DENGAN KETERPADUAN ANTARA SOSIALISASI UPAYA SANITASI DAN RESPON PELATIHAN PEMILAHAN SAMPAH DI SEKOLAH BERBASIS IT Mulyati, Sri Slamet; Pujiono, Pujiono; Hidayah, Nurul; Nurjaman, Ujang; Herdhianta, Dhimas
Jurnal Pengabdian Masyarakat Kesehatan Indonesia Vol. 3 No. 2 (2024): Jurnal Pengabdian Masyarakat Kesehatan Indonesia
Publisher : Poltekkes Kemenkes Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34011/jpmki.v3i2.2623

Abstract

Background: The activity of sorting waste is simple but requires awareness and commitment from the individual concerned. Scientific understanding in sorting is also needed to become a basis that can strengthen individual commitment and responsibility in handling waste. Public facilities whose sanitary conditions do not meet the requirements will be synonymous with slum and dirty conditions. Sanitation facilities and facilities that meet the requirements will certainly support the existence of healthy schools. Healthy schools are also one of the themes of community service that has been carried out by many community service teams in various educational institutions. Objective: This community service activity aims to find out efforts to improve soil environmental health, waste management, and find out the response to IT-based waste management in the school. Methods: Direct field surveys at school locations, conducting outreach, and demonstrations of IT-based tools are the methods used in our team's community service. Results: Soil quality at both school locations for pH and humidity parameters in the categories meets the requirements, indicating that there are no activities that have the potential to pollute the soil at these locations. Waste management efforts are already at the sorting and processing/composting stage which continues to be processed by partner 1. There is a positive response from both partners to the IT-based waste sorting tool. There was an increase in students' knowledge at both schools regarding waste sorting before and after the counseling. Conclusion: Environmental sanitation efforts and good IT-based training responses need to continue to be followed by good and sustainable waste processing practices..Key words: smart sorting bin, waste sorting
Language Transformation: Tracing the Word Formation of Netspeak in the Digital Age Sitorus, Nurhayati; Nasution, Khairina; Pujiono, Pujiono; Rangkuti, Rahmadsyah
Proceeding International Conference on Malay Identity The 2nd International Seminar on Language, Literature, Education, Arts and Culture
Publisher : Jurusan Sejarah, Seni, dan Arkeologi, FKIP, Universitas Jambi

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

Abstract

In the digital era, communication through online platforms has undergone a significant transformation. This phenomenon gave birth to a new form of language called Netspeak, which reflects the way the younger generation communicates in cyber media. Netspeak is characterized by the simplification of language structures, the use of acronyms and abbreviations, and the replacement of words with symbols and numbers. In addition, the use of emojis and emoticons further enriches the variety of expressions used in online communication. This study aims to analyze and understand word formation process of Netspeak in cyber media. The approach used in this study is a qualitative approach with a virtual ethnography method. Data collection was carried out through full observation, screenshots, and diary routines without conducting interviews. After the data was collected, the data was analyzed using the Boellstorff concept, namely 1) systematizing data, 2) creating data thematization, and 3) narrating and building arguments. The results of the study shown that the word formation process found in this study includes acronyms, blending, clipping, borrowing, special symbols, combinations of symbols with numbers, combinations of letters with numbers, use of letter symbols as representations, derivation, reduplication, use of Emoticons or Emojis, use of capital letters and abbreviations which reflect the adaptive behavior of language users towards the need for fast and efficient communication.
Relevansi Nilai Informasi Akuntansi dan Kepemilikan Non Publik Terhadap Keputusan Pengambilan Investasi Fatihul Barokah; Pujiono, Pujiono
Jurnal Bisnis Mahasiswa Vol 4 No 4 (2024): Jurnal Bisnis Mahasiswa
Publisher : PT Aksara Indo Rajawali

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60036/jbm.v4i4.art11

Abstract

Penelitian ini bertujuan untuk mengetahui pengaruh dari relevansi nilai informasi akuntansi meliputi Return on Assets (ROA), Earnings per Share (EPS), dan Kepemilikan Non Publik (KNP) memengaruhi terhadap keputusan investasi. Penelitian ini menggunakan metode kuantitatif serta 82 sampel dari perusahaan sektor keuangan. Sebagai uji hipotesis, penelitian ini menggunakan metode regresi linier berganda untuk mengetahui seberapa besar pengaruh variable-variabel terhadap harga saham. Hasil penelitian menunjukkan bahwa ROA, EPS, dan Kepemilikan Non Publik berpengaruh terhadap harga saham. Keterkaitan dari penelitian ini menunjukkan bahwa pentingnya melihat besarnya ROA untuk mempertimbangkan nilai informasi akuntansi dengan tetap memperhatikan risiko yang terkait dengan nilai EPS dan Kepemilikan Non Publik (KNP) selama proses pengambilan keputusan investasi.
The Relevance of Accounting Information Value and the Portion of Non Public Ownership in Investment Decision Making Sahninda, Berian Putra; Pujiono, Pujiono
Amsir Accounting & Finance Journal Vol 3 No 1 (2025): Januari
Publisher : Fakultas Bisnis Institut Ilmu Sosial dan Bisnis Andi Sapada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56341/aafj.v3i1.566

Abstract

The purpose of this research is to analyze the effect of the relevance of the value of accounting information which includes Return on Assets (ROA), Return on Equity (ROE), Earning Per Share (EPS), and Non Public Ownership (KNP) in making investment decisions. The research method used is quantitative method with 15 companies in the agriculture industry sector as the sample. This research uses multiple linear regression techniques as hypothesis testing. The results of the research show that ROA, EPS and Non-Public Ownership are proven to have an effect on the fluctuation of stock prices, while ROE is proven to have no effect on stock prices. The implication of this research is the importance of looking at the size of the KNP and the relevant value of accounting information in the forms of ROA and EPS while still considering the risks associated with the value of ROE in the investment decision-making process
Akselerasi Pelatihan Pengembangan Produk Unggulan Aprila, Bord Nandre; Rahman, Sarli; Fransisca, Luciana; Irman, Mimelientesa; Fitriyani, Fitriyani; Syahputra, Hidayat; Pujiono, Pujiono; Setyawan, Onny
JUDIKAT: Jurnal Pengabdian Kepada Masyarakat Vol 4 No 2 (2024): JUDIKAT: Jurnal Pengabdian Kepada Masyarakat
Publisher : Institut Bisnis dan Teknologi Pelita Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35145/judikat.v4i2.4731

Abstract

Superior product development is a strategic step in creating competitive products and meeting consumer needs effectively. The training held in Pekanbaru aims to increase the capacity of business actors in producing innovative and high-quality products, as well as build a network of collaboration with academics and industry. The focus of the training is directed at accelerating the product development process through various topics, including business feasibility analysis, marketing strategies, consumer behavior, and market segmentation techniques. With an approach that involves presentations, simulations, and interactive discussions, participants gain an in-depth understanding and practical skills to apply the training materials. The evaluation conducted through feedback aims to assess the effectiveness of the training and identify the need for further training. The results of this activity show an increase in participants' understanding and strengthen collaboration between business actors, academics, and the government in supporting the development of competitive superior products in the market.
Optimasi Support Vector Machine Dengan PSO Untuk Klasifikasi Kelayakan Export Kerang Batik Putro, Bagus Prindo Sugihartono; Soeleman, M Arief; Pujiono, Pujiono
Techno.Com Vol. 24 No. 1 (2025): Februari 2025
Publisher : LPPM Universitas Dian Nuswantoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62411/tc.v24i1.11793

Abstract

Kerang Batik (Paphia undulata) memiliki pola cangkang yang mirip batik, dengan warna dasar cangkang yang bervariasi dari kuning cerah hingga gelap. Sebagai komoditas ekspor Indonesia yang permintaannya terus meningkat, penting untuk menjaga standar kualitas tinggi agar kerang siap ekspor. Penelitian ini menyelidiki metode kontrol kualitas yang efektif untuk kerang batik yang layak ekspor dengan mengambil sampel dari perusahaan terkait. Setelah proses pra-pemrosesan citra, dilakukan ekstraksi fitur, termasuk fitur bentuk (eccentricity, metric) dan fitur tekstur (GLCM). Fitur-fitur ini digunakan dalam algoritma SVM (Support Vector Machine) dengan kernel RBF, yang dipilih karena kemampuannya menangani data non-linear, untuk mencapai akurasi optimal. Metode optimasi PSO (Particle Swarm Optimization) juga diterapkan untuk meningkatkan akurasi lebih lanjut. Penelitian menunjukkan bahwa SVM dengan kernel RBF mencapai akurasi tertinggi sebesar 96,43% pada sudut 45° dan 90°. Setelah dioptimalkan dengan PSO, akurasi meningkat menjadi 97,86% pada sudut 90°. Dengan demikian, penerapan PSO pada algoritma SVM secara signifikan meningkatkan akurasi klasifikasi.   Kata kunci: SVM, PSO, Kerang Batik, Kernel RBF, GLCM
Frugal Living in Islamic Finance: How QRIS Supports Ethical Spending? Fielnanda, Refky; Pujiono, Pujiono; Hermawan, Iwan; Novida, Irma; Istiyanti, Istiyanti; Nofriza, Eri
JURNAL AT-TURAS Vol 12, No 1 (2025)
Publisher : Universitas Nurul Jadid

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33650/at-turas.v12i1.10076

Abstract

Frugal living, or a frugal lifestyle, embodies a concept that coincides with Islamic financial principles, emphasising equilibrium, sustainability, and the avoidance of excessive consumerism. The concept of frugal living has gained increasing relevance in modern economic discourse, particularly in response to financial instability, environmental concerns, and the need for responsible resource management. In the digital age, the payment system utilising the Quick Response Code Indonesian Standard (QRIS) has gained prominence as a tool for facilitating more efficient and transparent financial transactions.  This study examines how the use of QRIS within the Islamic financial framework can enhance ethical consumption practices aligned with the tenets of frugal living.  This research, employing a qualitative methodology through literature analysis, determined that QRIS effectively diminishes cash utilisation, which may foster impulsive spending, enhances precise financial documentation, and reinforces Sharia financial principles such as justice, transparency, and sustainability.  This approach promotes more inclusive and efficient transactions, aligning with the maqashid shariah objectives of preserving individual and societal welfare.  This research suggests that the digitalisation of Islamic finance via QRIS can serve as a strategic tool for fostering more ethical and responsible consumer practices.
Analisis Metode Happy When Sick (HWS) dalam Bimbingan Rohani di Rumah Sakit Pujiono, Pujiono; Haryanto, Budi
Al Musyrif: Jurnal Bimbingan dan Konseling Islam Vol 7 No 1 (2024): April
Publisher : Program Studi Bimbingan dan Konseling Islam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38073/almusyrif.v7i1.1744

Abstract

Along with the times and the complexity of the problems faced by humans, especially those who are facing illness, the problems of patients in hospitals are not only physical but also psychological, such as anxiety. Therefore, spiritual guidance is considered important to support the healing process by helping patients accept their condition with sincerity, patience and trust. An effective method is needed so that the aims and objectives of achieving healing, both physical and spiritual, can be achieved. This study aims to analyze the effectiveness of the HWS (Happy When Sick) method in Islamic spiritual guidance at Muhammadiyah Hospital using qualitative descriptive methods. Data was collected through observation and in-depth interviews, then analyzed using the interactive model of Miles, Huberman, and Saldana. The results show that the application of the HWS method has a positive impact on the psychological and spiritual condition of patients from various generations, families and medical personnel. Patients show increased calm, enthusiasm for worship, and optimism regarding recovery, as well as reduced anxiety and increased compliance with medical recommendations. This research recommends the integration of holistic and adaptive spiritual guidance methods to optimally support patients' physical and spiritual health.
PREDICTING OF BREAST CANCER RISK USING MACHINE LEARNING WITH FEATURE SELECTION THROUGH XGBOOST Al Azhar, Cahya Mutiara; Pujiono, Pujiono
JURTEKSI (Jurnal Teknologi dan Sistem Informasi) Vol 11, No 2 (2025): Maret 2025
Publisher : Universitas Royal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33330/jurteksi.v11i2.3661

Abstract

Abstract: Breast cancer is the leading cause of death for women globally, exacerbated by late detection. This study proposes a breast cancer risk prediction framework using XGBoost with SelectKBest feature selection. It aims to improve the accuracy and efficiency of early detection through exploratory data analysis, coding, SMOTE to address class imbalance, and feature selection (k=29). As a result, the XGBoost model achieved 98.1% accuracy, 98.1% recall, 98.1% f1-score, and 98.2% precision on test data, highlighting the importance of feature selection. These results are promising in patient prioritization (triage) for further examination, helping medical personnel identify high-risk patients, thus improving resource allocation efficiency. These findings validate SelectKBest and pave the way for the development of a machine learning-based clinical decision support system for breast cancer early detection workflows. This research contributes significantly to the application of machine learning to support early breast cancer detection.            Keywords: breast cancer; feature selection; machine learning; risk prediction; XGBOOST.  Abstrak: Kanker payudara menjadi penyebab utama kematian wanita global, diperparah deteksi yang terlambat. Penelitian ini mengusulkan kerangka prediksi risiko kanker payudara menggunakan XGBoost dengan seleksi fitur SelectKBest. Tujuannya meningkatkan akurasi dan efisiensi deteksi dini melalui analisis data eksploratif, pengkodean, SMOTE untuk mengatasi ketidakseimbangan kelas, dan seleksi fitur (k=29). Hasilnya, model XGBoost mencapai akurasi 98.1%, recall 98.1%, f1-score 98.1%, dan presisi 98.2% pada data uji, menyoroti pentingnya seleksi fitur. Hasil ini menjanjikan dalam penentuan prioritas pasien (triage) untuk pemeriksaan lebih lanjut, membantu tenaga medis mengidentifikasi pasien berisiko tinggi, sehingga meningkatkan efisiensi alokasi sumber daya. Temuan ini memvalidasi SelectKBest dan membuka jalan bagi pengembangan sistem pendukung keputusan klinis berbasis machine learning untuk alur kerja deteksi dini kanker payudara. Penelitian ini berkontribusi signifikan dalam penerapan machine learning untuk mendukung deteksi dini kanker payudara. Kata kunci: kanker payudara; pembelajaran mesin; prediksi risiko ; seleksi fitur; XGBOOST. 
The PENERAPAN PENCEGAHAN PAPARAN PESTISIDA PADA PETANI PENYEMPROT HAMA TANAMAN SAYURAN MELALUI UPAYA KESEHATAN LINGKUNGAN: PENERAPAN PENCEGAHAN PAPARAN PESTISIDA PADA PETANI PENYEMPROT HAMA TANAMAN SAYURAN MELALUI UPAYA KESEHATAN LINGKUNGAN Lubis, Lubis Bambang Purnama; Pujiono, Pujiono; Somad, Agus; Kahar, Kahar; Wahyudi, Payzar
Jurnal Pengabdian Masyarakat Kesehatan Indonesia Vol. 4 No. 1 (2025): Jurnal Pengabdian Masyarakat Kesehatan Indonesia
Publisher : Poltekkes Kemenkes Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34011/jpmki.v4i1.2734

Abstract

The increasing demand for food has driven agricultural intensification, including the use of pesticides to control pests. However, improper pesticide usage can pose health and environmental risks. This Community Service Program (PKM) aimed to enhance the knowledge and skills of vegetable crop pesticide sprayers in West Bandung agricultural area, regarding safe pesticide spraying practices through education and training. The methods included observation, training, assistance, and evaluation through pre-tests and post-tests. The results showed a significant improvement in farmers' knowledge levels, from the "Poor" category before training (<50%) to "Good" after training (100%). The program also increased farmers' awareness of using personal protective equipment (PPE) and implementing proper pesticide spraying procedures. The program's recommendations include ongoing education and the establishment of local facilitator teams to support program sustainability.
Co-Authors A.A. Ketut Agung Cahyawan W Abulebu, Henny I. Adhe Irham Thoriq Affandy Affandy Ahmad Zainul Fanani Aini, Triska Rahmatul Aisyaturrahmi Al Azhar, Cahya Mutiara Alik Katur Rofiah, Binti Alwani, Alwani Amiruddin , Amiruddin Andry Setiawan, Andry Anggun Pambudi Anugroho, Rohmat Aprila, Bord Nandre Arif Hidayat Arif Widagdo Asih Rohmani B. Pakpahan, Irnovia Bayu, Yoni Setyo Nugroho Budi Haryanto Budiono Budiono Busriyanti Busriyanti, Busriyanti Cantika Sari Siregar Catur Supriyanto Chamdan, Umar Chandra, Jennifer Chusnia, Vina Maulidah David S. V. L Bangguna Dedi Dedi Dewi Sulistianingsih Diah Restu Wardani Diah Restu Wardani Dian Anita Nuswantara Dianwicaksih Arieftiara E. Wuon, Orva Edi Noersasongko Eka Putri, Libryawati Eko Prasetyo Elanda Fikri Eni Wuryani Estu, Ahmad Zulkarnaen Eti Rimawati Etika Kartikadarma Fadhil, Azhar Fadrul, Fadrul Fadzil, Rozlinda Mohamed Fahmi Amiq Fatihul Barokah Firdaus, Gilbert Fitriya, Vina Syayidatul Fitriyani Fitriyani Fransisca, Luciana Fredy Susanto Freza Surya Asrina Guruh Fajar Shidik Hariyati Hariyati Haryati Haryati Herdhianta, Dhimas Heri Susanto Hernawan Hadi Heru Agus Santoso Hidayat, Rendra Syarief Holmes Rolandy Kapuy Ibad, Sholihul Iin Purnamasari Imam Bukori Indriani, Azizah Defi Irianti, Lingga Resvita Irma Cahyaningtyas, Irma Istiyanti, Istiyanti Ita Mowidu Iwan Hermawan Junaidi Junaidi Jutono Gondohanindijo, Jutono Kahar Kahar, Kahar Kasman Kasman Khoirul Anwar Kusharyanti Kusharyanti Lazuardi, Afried Lintang Venusita Lubis, Lubis Bambang Purnama M. Anwar Sadat M. Tangkeallo, Marthen Made Dudy Satyawan Mahazam Afrad Marita Marita, Marita Martitah Martitah Merlyana Dwinda Yanthi Mimelientesa Irman Moch Arief Soeleman Moch Arief Soeleman, Moch Arief Moch. Eko Rustiyono Mubarok, Ahmad Hasan Muchammad Shidqon Prabowo Muhamad Haris Zuhri Muhtarom Muljono Muljono Muljono, - Mursalim Mustajab Mustajab Nanik Prasetyoningsih Nasution, Khairina Ni Nyoman Alit Triani Nofriza, Eri Noor Ageng Setiyanto, Noor Ageng Nova Rijati Novida, Irma Novitriansyah, Bob Nurhayati Sitorus Nurhayati, Ati Nurtantio, Pulung NURUL HIDAYAH O. Pandoyu, Ebelhart Pandoyu, Ebelhart O Pandoyu, Ebelhart O. prabawa, randy aditya Pramana, Hendri Julian Pramitasari, Ratih Pratama, Arfian Nanda Yogi Pulung Nurtantio Andono Purwanto Purwanto Purwanto Purwanto Putra, S.E., MSA, Rediyanto Putra, Tegar Islami Putri, Yeni Nor Diana Putro, Bagus Prindo Sugihartono R Arief Nugroho Rahman, Fathor Rahman, Sarli Rangkuti, Rahmadsyah Ravindo, Besky Pramudya Rediyanto Putra Refky Fielnanda Rendra Arief Hidayat Retno Sunu Astuti Ridha Rahmawati Rini Fidiyani ROHMAWATI KUSUMANINGTIAS Romi Ilham, Romi Roy Aprianto, Roy Sahbar, Robi Sahninda, Berian Putra Saputra, Aries Gilang Sari Ayu Wulandari Septian Enggar Sukmana Setiawan, Dicky Setyawan, Onny Sifai, Izzatul Alifah Siti Muslifah, Siti Slamet Sumarto Soeleman, Arief Soeleman, M Arief Solichul Huda Somad, Agus Sri Astuti Sri Slamet Mulyati, Sri Slamet Sudarto Usuli SUGIARTO, LAGA Sugiarto, Triga Agus Sugito - Suharnawi Suharnawi Suharnawi Syahputra, Hidayat Syaiful A. Septemuryantoro Tangkeallo, Marthen M. Teguh Budi Prijanto, Teguh Budi Ujang Nurjaman, Ujang Ulum, Nafi' Fahrur Wacana, Gitit I.P Wahyu Adi Nugroho Wahyudi, Payzar Wicaksono, Duta Firdaus Widianto, Dhoni WIJAYANTO WIJAYANTO Wuryantoro, Tri Yetri Hasan Yolanda, Oppie Yudistira, Ivan Bhakti Yuli Prasetyo Adhi Yuliana, Dhea Arsinta Yundari, Yundari Yusrizal Yusrizal