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All Journal International Journal of Electrical and Computer Engineering IAES International Journal of Artificial Intelligence (IJ-AI) Dinamik Seminar Nasional Aplikasi Teknologi Informasi (SNATI) ELKHA : Jurnal Teknik Elektro Techno.Com: Jurnal Teknologi Informasi Jurnal Simetris Elkom: Jurnal Elektronika dan Komputer TELKOMNIKA (Telecommunication Computing Electronics and Control) Bulletin of Electrical Engineering and Informatics Prosiding Seminar Nasional Sains Dan Teknologi Fakultas Teknik Prosiding SNATIF Jurnal Transformatika Scientific Journal of Informatics Seminar Nasional Informatika (SEMNASIF) Sisforma: Journal of Information Systems JAIS (Journal of Applied Intelligent System) Proceeding SENDI_U Jurnal Ilmiah Dinamika Rekayasa (DINAREK) Journal of Information System Jurnal Informatika Upgris Jurnal Teknologi dan Sistem Komputer Sinkron : Jurnal dan Penelitian Teknik Informatika SISFOTENIKA JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Wikrama Parahita : Jurnal Pengabdian Masyarakat Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Jurnal Eksplora Informatika JOURNAL OF APPLIED INFORMATICS AND COMPUTING Building of Informatics, Technology and Science Jurnal Informatika dan Rekayasa Perangkat Lunak JTIULM (Jurnal Teknologi Informasi Universitas Lambung Mangkurat) Abdimasku : Jurnal Pengabdian Masyarakat Jurnal Pengabdian kepada Masyarakat Nusantara Jurnal Teknik Informatika (JUTIF) JUDIMAS (Jurnal Inovasi Pengabdian Kepada Masyarakat) Jurnal Program Kemitraan dan Pengabdian Kepada Masyarakat Advance Sustainable Science, Engineering and Technology (ASSET) J-SAKTI (Jurnal Sains Komputer dan Informatika) Prosiding Seminar Nasional Hasil-hasil Penelitian dan Pengabdian Pada Masyarakat Jurnal Maklumatika Prosiding Seminar Nasional Teknologi Informasi dan Bisnis Journal of Computing Theories and Applications Seminar Nasional Teknologi dan Multidisiplin Ilmu Scientific Journal of Informatics Journal of Future Artificial Intelligence and Technologies Seminar Nasional Riset dan Teknologi (SEMNAS RISTEK) INOVTEK Polbeng - Seri Informatika
Ajib Susanto
Universitas Dian Nuswantoro
Agriculture, Biological Sciences & Forestry Arts Humanities Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Health Professions Industrial & Manufacturing Engineering Library & Information Science Materials Science & Nanotechnology Mechanical Engineering Physics Public Health Social Sciences Other

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Implementation of Smart Contracts Ethereum Blockchain in Web-Based Electronic Voting (e-voting) Susanto, Ajib
Jurnal Transformatika Vol. 18 No. 1 (2020): July 2020
Publisher : Jurusan Teknologi Informasi Universitas Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26623/transformatika.v18i1.1779

Abstract

The increasing of digital technology today has helped many people to fulfill their needs. But the election system, still conventionally using paper in its implementation. Elections in general still use a centralized system, where there is an organization that manages it. Some of the problems that may occur in traditional electoral systems are that there are organizations that have full control over the database and system, so the possibility of hacking the database is quite a big opportunity.Blockchain innovation is one arrangement that can be utilized in light of the fact that it has a decentralized framework and the whole database is duplicated by all clients. Blockchain itself has been used by Bitcoin and Ethereum cryptocurrency which is known as a decentralized system. By using the blockchain in database recording on an e-voting system can reduce one source of fraud that is database manipulation. This study discusses the recording of voting data using blockchain technology. The implementation of Smart Contracts contained in the Ethereum Blockchain will be implemented to create this voting system
Digitalisasi Pengelolaan Pemasaran Desa Wisata Banjaran Kabupaten Purbalingga Melalui Website Desa Wisata Banjaran Ningrum, Novita Kurnia; Susanto, Ajib; Mulyono, Ibnu Utomo Wahyu; Sudaryanto, Sudaryanto
ABDIMASKU : JURNAL PENGABDIAN MASYARAKAT Vol 8, No 3 (2025): SEPTEMBER 2025
Publisher : LPPM UNIVERSITAS DIAN NUSWANTORO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62411/ja.v8i3.2988

Abstract

Desa Banjaran di Kecamatan Bojongsari Kabupaten Purbalingga memiliki potensi tinggi untuk meningkatkan perekonomian masyarakat melalui kekayaan alam dan budaya yang dimilik masyarakat setempat. Saat ini Desa Banjaran sudah memiliki Desa Wisata Banjaran, akan tetapi belum menjangkau pasar yang luas dikarenakan keterbatasan sumber daya manusia untuk mengelola Desa Wisata Banjaran tersebut. Kegiatan pengabdian masyarakat ini bertujuan  untuk membangun website Desa Wisata Banjaran sebagai media untuk memasarkan dan mempromosikan Desa Wisata Banjaran secara luas. Untuk mengoptimalkan implementasi website Desa Wisata, diberikan pelatihan untuk mengoperasikan website, diantaranya mengelola konten, mengelola sosial media yang terhubung dengan website sebagai pintu utama untuk mempromosikan Desa Wisata Banjaran. Capaian dari kegiatan ini diantaranya adalah pengembangan website Desa Wisata Banjaran, peningkatan softskill warga Desa Banjaran mengelola pemasaran Desa Wisata Banjaran melalui website dan sosial media.
DETEKSI GERAK PADA VIDEO GERAK LANSIA BERBASIS YOLO-V5 DAN YOLO-V7 Susanto, Ajib; Mulyono, Ibnu Utomo Wahyu; Sudaryanto, Sudaryanto
Semnas Ristek (Seminar Nasional Riset dan Inovasi Teknologi) Vol 8, No 01 (2024): SEMNAS RISTEK 2024
Publisher : Universitas Indraprasta PGRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/semnasristek.v8i01.7142

Abstract

Penelitian ini melakukan pembandingan antara metode deteksi gerak YOLO-v5 dan YOLO-v7 dengan tujuan memahami keunggulan dan keterbatasan masing-masing metode dalam konteks deteksi objek dinamis. Hasil eksperimen menunjukkan bahwa YOLO-v5 memiliki kecepatan respons yang tinggi, sementara YOLO-v7 menonjol dalam ketelitian dan kemampuan adaptasi terhadap variasi objek dan situasi. Penelitian ini memberikan pemahaman yang mendalam tentang karakteristik deteksi gerak yang dihadirkan oleh kedua metode, serta merumuskan saran untuk pengembangan metode deteksi gerak yang memanfaatkan keunggulan dari kedua pendekatan ini. Dengan ini, penelitian ini memberikan kontribusi dalam mengarahkan pemilihan metode deteksi gerak yang paling sesuai dengan kebutuhan aplikasi spesifik dan merangsang eksplorasi lebih lanjut dalam pengembangan solusi deteksi objek yang efisien dan akurat.
ANALISA PERFOMA ALGORTIMA JARINGAN SYARAF TIRUAN DALAM KLASIFIKASI KARAKTER HIRAGANA Mulyono, Ibnu Utomo Wahyu; Kusumawati, Yupie; Susanto, Ajib
Semnas Ristek (Seminar Nasional Riset dan Inovasi Teknologi) Vol 8, No 01 (2024): SEMNAS RISTEK 2024
Publisher : Universitas Indraprasta PGRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/semnasristek.v8i01.7134

Abstract

Penelitian ini memfokuskan pada pengembangan sebuah aplikasi inovatif berbasis jaringan saraf tiruan untuk mendukung pembelajaran karakter Hiragana dalam konteks pembelajaran bahasa Jepang. Kurangnya alat bantu pembelajaran yang efisien dan interaktif dalam memahami karakter Hiragana menjadi kendala utama, dan untuk mengatasi masalah ini, kami mengusulkan sebuah aplikasi yang menggunakan jaringan saraf tiruan. Konsep dasar jaringan saraf tiruan, yang mirip dengan fungsi otak manusia, memungkinkan aplikasi ini untuk mengklasifikasikan karakter Hiragana dengan akurasi tinggi. Pengembangan aplikasi melibatkan langkah-langkah seperti pengumpulan dataset karakter Hiragana yang sudah diberi label, preprocessing data, pemilihan dan konfigurasi arsitektur jaringan saraf tiruan, serta pelatihan dan evaluasi model. Hasil pengujian menggunakan tiga optimizer (Adam, SGDM, dan RMSP) menunjukkan performa yang baik, dengan akurasi di atas 87% dan nilai F1-score mencapai 95% dengan penggunaan optimizer Adam. Disarankan untuk menggunakan optimizer Adam dalam pengembangan model ini. Untuk penelitian mendatang, peningkatan jumlah data pelatihan dan eksplorasi hyperparameter lainnya perlu dipertimbangkan guna meningkatkan performa model secara signifikan. Hasil penelitian ini diharapkan dapat memberikan solusi efektif dalam memperkaya pengalaman pembelajaran bahasa Jepang, terutama dalam memahami karakter-karakter Hiragana dengan lebih efisien.
Implementasi Website Desa Pucang, Bawang, Banjarnegara Untuk Promosi Desa Dan Peningkatan Layanan Publik Susanto, Ajib; Sudaryanto, Sudaryanto; Kusumawati, Yupie; Budiman, Fikri
Jurnal Pengabdian kepada Masyarakat Nusantara Vol. 4 No. 4 (2023): Jurnal Pengabdian kepada Masyarakat Nusantara (JPkMN)
Publisher : Lembaga Dongan Dosen

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

Abstract

Desa Pucang, Kec. Bawang, Kab. Banjarnegara adalah desa target pendampingan Abinayamuda Disporapar Provinsi Jawa Tengah. Kegiatan desa, produk UMKM desa, kegiatan karang taruna, badan usaha milik desa (BUMDES), layanan masyarakat dan berbagai potensi desa selama ini masih dikelola belum memanfaatkan teknologi informasi dengan maksimal, sehingga informasi tentang desa dan kegiatannya masih sering belum tersampaikan ke masyarakat yang membutuhkan serta informasi desa Pucang di internet belum tersebar dengan baik, hal ini diperlukan media yang memudahkan untuk dikelola dan tersebar dengan cepat salah satunya dengan mewujudkan web desa dan pemanfaatan media sosial.Tujuan yang ingin dicapai yaitu mengembangkan dan mengoptimalkan website desa Pucang, Kec. Bawang, Kab. Banjarnegara untuk peningkatan layanan publik dan layanan informasi yang dibutuhkan masyarakat saat ini. Hasil sudah dicapai berupa website desa untuk layanan publik, informasi desa, promosi dan penjualan produk UMKM desa.
A Good Result for Blowfish Image Encryption Based on Stepic Cahyani, Anis Putma; Susanto, Ajib
Advance Sustainable Science, Engineering and Technology Vol 6, No 1 (2024): November-January
Publisher : Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/asset.v6i1.17332

Abstract

Information security is important in the era of evolving communications. Security methods are needed to protect data. Strong cryptographic algorithms, such as Blowfish, developed by Bruce Schneier in 1993, offer fast and reliable encryption. Blowfish uses 64 bit blocks and key lengths between 32 and 443 bits. This algorithm is famous for its robustness and encryption speed, with a Feistel Network structure and 16 rounds. This research implements Blowfish with Python and integrates it with steganography to insert secret data in digital images. Evaluation involves metrics such as Mean Squared Error (MSE), Peak-Signal-to-Noise Ratio (PSNR), Average Visibility (AVA), Uniform Average Change Intensity (UACI), and Percentage Pixel Change Value (NPCR) to measure quality and reliability encryption and decryption process by Blowfish.
A ROBUST AND IMPERCEPTIBLE FOR DIGITAL IMAGE ENCRYPTION USING CHACHA20 Nugroho, Widhi Bagus; Susanto, Ajib; Sari, Christy Atika; Rachmawanto, Eko Hari; Doheir, Mohamed
Jurnal Teknik Informatika (Jutif) Vol. 5 No. 2 (2024): JUTIF Volume 5, Number 2, April 2024
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2024.5.2.1470

Abstract

In the current era, data security is mandatory because it protects our personal data from being used by irresponsible people. The objective of this research is to show the robustness of the method we propose to encrypt images using the chacha20 algorithm which is included in the symmetric encryption cryptography technique and uses one key for both encryption and decryption processes. we use the encryption method by reading the bits from a digital image which is processed using the chacha20 algorithm to get the results of the digital image encryption. The results of this study indicate that the Chacha20 algorithm is secure to use when encrypting and decrypting digital images. The average MSE value generated by the chacha20 algorithm is 0.1232. The average PSNR value is 57.4784. The average value of UACI is 49.99%. The average value of NPCR is 99.602%. The test values were acquired by executing encryption and decryption processes on 5 distinct colour digital images with different size. Additionally, this study displays histograms for the original digital image, as well as for the encrypted and decrypted digital images, illustrating the pixel distribution in each. The histogram also serves as material for analysis of the success of the encryption and decryption processes in digital images.
CHATBOT FEATURES ON WEBSITES USING DIALOGFLOW FRAMEWORK WITH RULE-BASED METHOD Nabiha Riandika, Muhammad Afiq; Susanto, Ajib; Respatria, Nabila Maharani
Jurnal Teknik Informatika (Jutif) Vol. 5 No. 5 (2024): JUTIF Volume 5, Number 5, Oktober 2024
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2024.5.5.2688

Abstract

A chatbot is an artificial intelligence (AI) technology that can mimic human conversation in the form of text or voice messages through a website, or mobile application. Chatbots are widely used to facilitate communication, such as finding information, or services. In this research, the difficulty of accessing information in obtaining answers to questions asked by the public, as well as taking too long for the admin to reply when providing information to people who ask questions related to information about the topic raised, is an initial problem that will be solved in this research. Chatbot is a solution that can overcome the above problems, chatbot itself is designed to help food license applicant services on the website of the Semarang City Health Office in the field of Pharmacy and Perbekes. By utilizing the Dialogflow framework, this chatbot will use the Rule-Based method because in this development, the Rule-Based method can adjust common questions and answers that are often asked by the public, and can also be changed and even expanded to manage conversations without experiencing much difficulty in changing them that follow questions that are often asked over time. The system consists of agents, intentions, and training phrases that will be trained to understand various questions and provide relevant responses. This chatbot development aims to improve the efficiency of food licensing services, reduce applicant waiting time, and provide accurate and easily accessible information. The test results in this development are on a chatbot system that can run well, and is able to understand various kinds of questions related to food licensing, and provide appropriate responses in accordance with the predetermined intent. In addition, an evaluation of the level of user satisfaction will be carried out to measure the success of this system. This chatbot can improve the quality of public services in the field of food licensing and provide convenience for the public in processing licenses.
Enhancing MPEG-1 Video Quality Using Discrete Wavelet Transform (DWT) with Coefficient Factor and Gamma Adjustment Krismawan, Andi Danang; Susanto, Ajib; Rachmawanto, Eko Hari; Muslih, Muslih; Sari, Christy Atika; Ali, Rabei Raad
Jurnal Teknik Informatika (Jutif) Vol. 6 No. 2 (2025): JUTIF Volume 6, Number 2, April 2025
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2025.6.2.4422

Abstract

Low-quality video caused by compression artifacts, noise, and loss of detail remains a significant challenge in video processing, affecting applications in streaming, surveillance, and medical imaging. Existing enhancement techniques often struggle with excessive noise amplification or high computational complexity, making them inefficient for real-time applications. This study proposes an improved video enhancement method using Discrete Wavelet Transform (DWT) with optimized coefficient factor and gamma adjustment. DWT is a mathematical approach that decomposes video frames into frequency subbands, enabling selective enhancement of important details. To analyze the impact of different wavelets, this study evaluates Coif5, db1, sym4, and sym8 wavelets. The sym8 wavelet, known for its high symmetry and ability to minimize artifacts, achieves the best results in preserving fine details and structural integrity. The coefficient factor is dynamically adjusted to sharpen details while preventing noise amplification, and gamma adjustment is applied to optimize brightness and contrast. The proposed method was evaluated using Mean Squared Error (MSE), Peak Signal-to-Noise Ratio (PSNR), and Structural Similarity Index (SSIM). Experimental results show that sym8 wavelet with gamma 0.7 and coefficient factor 0.3 provides the best balance, achieving an MSE of 0.062, a PSNR of 12.050 dB, and an SSIM of 0.674, outperforming Coif5, db1, and sym4 wavelets. The results indicate that wavelet selection significantly impacts video enhancement performance, with sym8 providing superior contrast enhancement and noise suppression. This study contributes to real-time video processing and AI-based applications, ensuring enhanced visual quality with minimal computational overhead.
Hiragana Character Classification Using Convolutional Neural Networks Methods based on Adam, SGD, and RMSProps Optimizer Mulyono, Ibnu Utomo Wahyu; Kusumawati, Yupie; Susanto, Ajib; Sari, Christy Atika; Islam, Hussain Md Mehedul; Doheir, Mohamed
Scientific Journal of Informatics Vol. 11 No. 2: May 2024
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/sji.v11i2.2313

Abstract

Purpose: Hiragana image classification poses a significant challenge within the realms of image processing and machine learning. Despite advances, achieving high accuracy in Hiragana character recognition remains elusive. In response, this research attempts to enhance recognition precision through the utilization of a Convolutional Neural Network (CNN). Specifically, the study explores the efficacy of three distinct optimizers like Adam, Stochastic Gradient Descent with Momentum (SGDM), and RMSProp in improving Hiragana character recognition accuracy. Methods: This research adopts a systematic approach to evaluate the performance of a Convolutional Neural Network (CNN) in the context of Hiragana character recognition. A meticulously prepared dataset is utilized for in-depth testing, ensuring robustness and reliability in the analysis. The study focuses on assessing the effectiveness of three prominent optimization methods: Stochastic Gradient Descent (SGD), RMSProp, and Adam. Result: The results of the model performance evaluation show that the highest accuracy was obtained from the RMSP optimizer with an F1-Score reaching 99.70%, while the highest overall accuracy was 99.87% with the Adam optimizer. The analysis is carried out by considering important metrics such as precision, recall, and F1-Score for each optimizer. Novelty: The performance results of the developed model are compared with previous studies, confirming the effectiveness of the proposed approach. Overall, this research makes an important contribution to Hiragana character recognition, by emphasizing the importance of choosing the right optimizer in improving the performance of image classification models.
Co-Authors - Wijanarto - Wijanarto -, Wijanarto -, Wijanarto Abdussalam Abdussalam Abdussalam Abdussalam Abdussalam Abiyyi, Ryandhika Bintang Aceng Sambas Adrian Angga Pramono Afrizal Aziz Maulana Agus Winarno Agus Winarno, Agus Akhmad Rizaldy Ali Muqoddas Ali, Rabei Raad Alif Fadhil Wibowo Alviana Dina Putri Anak Agung Gede Sugianthara Anggia Rizkika Hanin Anggraeny, Tiara Antonio Ciputra Antonius Erick Handoyo Antonius Wibowo Aris Marjuni Atmojo, Cahyo Tri Bayu Wicaksono Briliantino Abhista Prabandanu Bustami, Sri Heri Cahyani, Anis Putma Carmelita, Bastiaans Jessica Christy Atika Sari Ciputra, Antonio D.R.I.M. Setiadi Daniel Nomolas Wicaksono De Rosal Ignatius Moses Setiadi Desi Purwanti Desi Purwanti Kusumaningrum Dian Kristiawan Nugroho Didik Hermanto Dimas Irawan Ihya’ Ulumuddin Doheir, Mohamed Dwi Puji Prabowo Dwi Puji Prabowo, Dwi Puji Eko Hari Rachmawanto Elkaf Rahmawan Pramudya Ericsson Dhimas Niagara Erwin Erwin Etika Kartikadarma Fakhriyan Nur Rofiq Farrel Athaillah Putra Febrian, Muhamad Rizky Fajar Fikri Budiman Fikri Budiman Galih Setyo Wibowo Gan, Hong-Seng Gilang Raharjito Haqikal, Hafidz Hayu Wikan Kinasih Hidayah Rahmalan Hilmi, Muhammad Abror Auliya Hussain Md Mehedul Islam Ibnu Gemaputra Ramadhan Ibnu Utomo Ibnu Utomo W.M. Ibnu Utomo Wahyu Mulyono Ibnu Utomo Wahyu Mulyono Ibnu Utomo Wahyu Mulyono Ibnu Utomo Wahyu Mulyono Ibnu Utomo Wahyu Mulyono Ibnu Utomo Wahyu Mulyono Ibnu Utomo Wahyu Mulyono, Ibnu Utomo Ibnu Utomo WM Ihya Ulumuddin, Dimas Irawan Imam Kurniawan Imam Prayogo Pujiono Imanuel Harkespan Indra Kusuma Islam, Hussain Md Mehedul Istiqomah, Annisa Ayu Karis Widyatmoko Khafiizh Hastuti Krismawan, Andi Danang Kusuma, Tiara Widya Kusumawati, Yupie L. Budi Handoko Laksono, Enggar Adji Lalang Erawan Latifah Diah Kumalasari Lutfi Madiono Md Kamruzzaman Sarker Md Kamruzzaman Sarker Mega Bintang Hatmi Moch Arief Soeleman Mochammad Lukman Mohamad Afendee Mohamed Mohamed A. S. Doheir Mohammad Arif Muttaqin Mohd Yaacob, Noorayisahbe Muhammad Atho’il Maula Muhammad Nur Haztinanto Mulyanto, Ibnu Utomo Mulyono, Ibnu Utomo Wahyu Mulyono, Ibnu Utomo Wahyu Mulyono, Ibnu Utomo Wahyu Musfiqur Rahman Sazal Muslih Muslih Muslih Muslih Muslih Nabiha Riandika, Muhammad Afiq Ningrum, Novita Kurnia Noorayisahbe Mohd. Yaacob Nova Rijati Novita Kurnia Ningrum Novita Kurnia Ningrum Nugroho, Widhi Bagus Ojugo, Arnold Adimabua Ozagastra Caluella Prambudi Ozagastra Caluella Prambudi Panjaitan, Yonathan Gani Panjaitan, Yonathan Gani Purwanto Purwanto Putri, Clara Edrea Evelyna Sony Raga Nufusula Rahadian Kristiyanto Rachman Raihan Yusuf Ramadhan, Aditya Wahyu Respatria, Nabila Maharani Rico Rian Alvian Rosyida, Ghaitsa Ardelia Sabilillah, Ferris Tita Saputra, The Manuel Eric Saraswati, Galuh Wilujeng Sarker, Md Kamruzzaman Sembiring, Rinawati Setiarso, Ichwan Sinaga, Daurat Sinaga, Daurat Sinaga, Daurat Sinar Setyawan Stefanus Santosa Sudaryanto Sudaryanto Sudaryanto Sudaryanto SUDARYANTO SUDARYANTO Sudaryanto Sudaryanto Suprayogi Suprayogi Teresa Enades Hari Setia Tiara Anggraeny Tiara Widya Kusuma Tri Wulandari Utomo W.M, Ibnu Utomo W.M, Ibnu Wellia Shinta Sari Widyatmoko Karis Wijanarto Wijanarto Wijanarto Wijanarto Wijanarto Wijanarto Yupie Kusumawati Zahrotul Umami, Zahrotul Zainal Arifin Hasibuan Zuama, Leygian Reyhan