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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) Teknika Jupiter Sinergi JITK (Jurnal Ilmu Pengetahuan dan Komputer) Jusikom : Jurnal Sistem Komputer Musirawas Communications in Science and Technology Dinamisia: Jurnal Pengabdian Kepada Masyarakat ILKOM Jurnal Ilmiah JUTIM (Jurnal Teknik Informatika Musirawas) Jurnal Teknologi Informasi MURA Krea-TIF: Jurnal Teknik Informatika JURNAL TEKNOLOGI DAN ILMU KOMPUTER PRIMA (JUTIKOMP) Jurnal Informatika Global Progresif: Jurnal Ilmiah Komputer Jurnal Digital Teknologi Informasi Infotek : Jurnal Informatika dan Teknologi Idealis : Indonesia Journal Information System KLIK: Kajian Ilmiah Informatika dan Komputer JUSTIN (Jurnal Sistem dan Teknologi Informasi) Brilliance: Research of Artificial Intelligence Jurnal Sistem Informasi, Teknik Informatika dan Teknologi Pendidikan (JUSTIKPEN) Locus Journal of Academic Literature Review Jurnal Media Computer Science SENTRI: Jurnal Riset Ilmiah Digital Transformation Technology (Digitech) International Journal Cister International Journal of Multidisciplinary Sciences and Arts Jurnal Teknologi Informasi Mura Kohesi: Jurnal Sains dan Teknologi Journal of Authentic Research INOVTEK Polbeng - Seri Informatika Jurnal Cakrawala Akademika
Zulhipni Reno Saputra Elsi
Universitas Muhammadiyah Palembang
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ESP32-CAM Camera Integration and Android Control for Portable Real-Time Surveillance Solution Zulhipni Reno Saputra Elsi; Dedi Haryanto; Muhammad Ihsan
Progresif: Jurnal Ilmiah Komputer Vol 21, No 2 (2025): Agustus
Publisher : STMIK Banjarbaru

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35889/progresif.v21i2.2700

Abstract

The development of Internet of Things (IoT) technology has encouraged the creation of a more flexible and efficient intelligent surveillance system. This research aims to design and implement an ESP32-CAM-based surveillance car prototype capable of real-time visual monitoring via Wi-Fi connection. The system integrates an ESP32-CAM microcontroller, an L298N motor driver, and four DC motors, and is controlled through a specially developed Android application to set the direction of motion and receive live video displays from the camera. Test results show that the system has stable connectivity performance with an average delay of 0.88 seconds, motor control response of 0.48 seconds, and good quality video streaming with an average delay of 1.09 seconds. The effective operational range was recorded up to 30 meters with acceptable connection quality. The system shows potential as a cost-effective, portable, and easily accessible surveillance solution for applications in hard-to-reach or high-risk areas. This research opens up further development opportunities with the integration of artificial intelligence, additional sensors, as well as expansion of the communication range.Keywords: IoT; ESP32-CAM; Real-Time Surveillance; Surveillance RC Car; Video Streaming AbstrakPerkembangan teknologi Internet of Things (IoT) telah mendorong terciptanya sistem pengawasan cerdas yang lebih fleksibel dan efisien. Penelitian ini bertujuan untuk merancang dan mengimplementasikan prototipe mobil pengawasan berbasis ESP32-CAM yang mampu melakukan pemantauan visual secara real-time melalui koneksi Wi-Fi. Sistem ini mengintegrasikan mikrokontroler ESP32-CAM, driver motor L298N, dan empat motor DC, serta dikendalikan melalui aplikasi Android yang dikembangkan khusus untuk mengatur arah gerak dan menerima tampilan video langsung dari kamera. Hasil pengujian menunjukkan bahwa sistem memiliki performa konektivitas yang stabil dengan rata-rata delay 0,88 detik, respons kendali motor sebesar 0,48 detik, dan streaming video berkualitas baik dengan delay rata-rata 1,09 detik. Jangkauan operasional efektif tercatat hingga 30 Meter dengan kualitas koneksi yang masih dapat diterima. Sistem ini menunjukkan potensi sebagai solusi pengawasan yang hemat biaya, portabel, dan mudah diakses untuk aplikasi di area yang sulit dijangkau atau berisiko tinggi. Penelitian ini membuka peluang pengembangan lebih lanjut dengan integrasi kecerdasan buatan, sensor tambahan, serta perluasan jangkauan komunikasi.Kata kunci: IoT; ESP32-CAM; Pengawasan Real-Time; Mobil RC Pengintai; Streaming Video 
SISTEM PEMESANAN TRAVEL ANTAR KOTA : (Sungsang–Palembang) pada Terminal Haji Rohman Berbasis Website Oji Prandi; Jimmie Jimmie; Zulhipni Reno Saputra Elsi
Jurnal Sistem Informasi, Teknik Informatika dan Teknologi Pendidikan Vol. 5 No. 2 (2026): Jurnal Sistem Informasi, Teknik Informatika dan Teknologi Pendidikan
Publisher : Utiliti Project Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55338/justikpen.v5i2.465

Abstract

Kemajuan teknologi informasi membawa dampak besar pada banyak bidang kehidupan, salah satunya transportasi. Proses pemesanan tiket travel yang sebelumnya dilakukan secara manual sering menimbulkan kendala seperti keterlambatan layanan, kesalahan pencatatan, dan keterbatasan akses informasi. ini bertujuan untuk melakukan perancangan dan mengembangkan Sistem Pemesanan Travel Antar Kota (Sungsang–Palembang) pada Terminal Haji Rohman Berbasis Website guna meningkatkan efisiensi, akurasi, dan kemudahan dalam proses pemesanan tiket. Penelitian ini menggunakan metode deskriptif kualitatif dengan pendekatan Research and Development (R&D), serta menerapkan model System Development Life Cycle (SDLC) jenis Waterfall. Tahapan penelitian meliputi analisis kebutuhan, desain sistem, implementasi sistem, dan pengujian dengan metode black-box testing. Dari hasil pengujian diperoleh bahwa seluruh fitur utama, seperti login, registrasi pengguna, manajemen jadwal keberangkatan, pemesanan tiket, dan laporan transaksi, telah berfungsi sesuai dengan kebutuhan fungsional tanpa adanya kesalahan sistem. Sistem ini dinilai mampu meningkatkan efektivitas pelayanan, mempercepat proses pemesanan, serta mendukung transformasi digital pada layanan transportasi antar kota, khususnya di Terminal Haji Rohman. Ke depannya, sistem dapat dikembangkan lebih lanjut dengan penambahan fitur pembayaran online dan notifikasi otomatis agar layanan semakin optimal.
Information technology governance in University of Muhammadiyah Palembang using framework COBIT 5 domain; Evaluate, Direct and Monitor (EDM) Elsi, Zulhipni Reno Saputra; Karnadi, Karnadi; Jimmie, Jimmie; Putra, Fajrie Agus Dwino; Hartini, Hartini; Agustanti, Sri Primaini
ILKOM Jurnal Ilmiah Vol 14, No 3 (2022)
Publisher : Prodi Teknik Informatika FIK Universitas Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33096/ilkom.v14i3.1136.294-302

Abstract

This study aims to find out about Information Technology management at Muhammadiyah University of Palembang and to get right advice in managing Information Technology from the University level to the Study Program. Regarding benchmarks in Information Technology Governance use the Cobit 5 framework with the Evaluate, Direct and Monitor domains. Monitoring and evaluation was carried out using a questionnaire distributed to lecturers and employees at the Muhammadiyah University of Palembang and the researchers did observations on the management of higher education information technology governance. Based on the questionnaire result, the highest gap occurs in sub domain 4, which is 3.65 while the observation result towards the capability level is at level 3 with a value of 56.67%, the sub domain ensuring resource optimization has the highest capability value of 66.67%. Based on the data obtained using the EDM domain, the University of Muhamadiyah Palembang has to set Standard Operating Procedures (SOP) and Work Instructions (IK) so every five processes can run well to create good IT governance.
Systematic Literature Review Sistem Monitoring Kualitas Air pada Budidaya Ikan Berbasis Internet of Things (IoT) Haryanto, Dedi; Elsi, Zulhipni Reno Saputra; Jimmei, Jimmei; Ihsan, Muhammad
Locus Journal of Academic Literature Review Vol 5 No 4 (2026): April
Publisher : LOCUS MEDIA PUBLISHING

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56128/ljoalr.v5i4.901

Abstract

Budidaya ikan merupakan salah satu sektor penting dalam mendukung ketahanan pangan dan peningkatan ekonomi masyarakat. Salah satu faktor yang sangat mempengaruhi keberhasilan budidaya ikan adalah kualitas air kolam. Pemantauan kualitas air secara manual memiliki beberapa keterbatasan, seperti tidak dapat dilakukan secara real-time dan membutuhkan waktu yang relatif lama. Perkembangan teknologi Internet of Things (IoT) memberikan solusi inovatif dalam sistem monitoring kualitas air yang memungkinkan pemantauan kondisi air secara otomatis dan jarak jauh. Penelitian ini bertujuan untuk menganalisis perkembangan teknologi IoT dalam sistem monitoring kualitas air pada budidaya ikan melalui pendekatan Systematic Literature Review (SLR). Kajian literatur dilakukan terhadap 22 artikel penelitian yang diperoleh dari berbagai sumber jurnal ilmiah. Analisis dilakukan dengan mengidentifikasi parameter kualitas air yang digunakan, jenis sensor, arsitektur sistem, serta kelebihan dan keterbatasan dari masing-masing penelitian. Hasil kajian menunjukkan bahwa sebagian besar penelitian menggunakan sensor pH, suhu, dan kekeruhan yang terintegrasi dengan mikrokontroler seperti Arduino, ESP8266, dan ESP32. Sistem monitoring berbasis IoT memungkinkan pemantauan kondisi air secara real-time melalui platform web atau cloud. Namun demikian, sebagian besar penelitian masih berfokus pada fungsi monitoring dengan parameter yang terbatas serta belum sepenuhnya mengintegrasikan sistem kontrol otomatis. Oleh karena itu, pengembangan sistem monitoring kualitas air berbasis IoT yang lebih komprehensif masih diperlukan untuk meningkatkan efektivitas pengelolaan budidaya ikan.
Design Construction of an Automatic Liquid Soap Dispenser Based on an Infrared (IR) Sensor Riski Riski; Kemas Muhammad Wahyu Hidayat; Zulhipni Reno Saputra Elsi
Brilliance: Research of Artificial Intelligence Vol. 6 No. 2 (2026): Brilliance: Research of Artificial Intelligence, Article Research May 2026
Publisher : Yayasan Cita Cendekiawan Al Khwarizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/brilliance.v6i2.8520

Abstract

This study aims to design and implement an automatic liquid soap dispenser based on an infrared (IR) sensor to Hand hygiene is an important factor in preventing the spread of disease, especially those caused by bacteria and viruses. The use of conventional liquid soap dispensers still requires physical contact, thus potentially causing cross-contamination. Therefore, this study aims to design and build an automatic liquid soap dispenser based on infrared (IR) sensors that can work without contact. The research method used is Research and Development (R&D), which includes the stages of needs analysis, system design, prototyping, and tool testing. This tool uses an infrared sensor to detect the presence of hands, Arduino Uno as the main controller, and a TDR Delay module to set the active duration of the liquid soap pump. When a hand is detected by the infrared sensor, the signal will be processed by the Arduino Uno to activate the delay module, then the DC pump will turn on for a predetermined duration so that liquid soap is dispensed automatically. After the set time is reached, the pump will automatically turn off and the system will return to standby mode. The test results show that the automatic liquid soap dispenser can work well and responsively in detecting hands and dispensing liquid soap consistently according to the set duration. This system is able to reduce direct physical contact, improve hygiene, and has a simple design, is energy efficient, and is easy to implement.
A comprehensive evaluation of broad learning system for deep feature- based chili leaf disease classification Rudi Kurniawan; Lukman Sunardi; Bunga Intan; Zulhipni Reno Saputra Elsi; Fatma Susilawati Mohamad
Communications in Science and Technology Vol 11 No 1 (2026)
Publisher : Komunitas Ilmuwan dan Profesional Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21924/cst.11.1.2026.1997

Abstract

The early detection of plant leaf diseases is essential for the enhancement of crop productivity and the promotion of sustainable agricultural practices. While deep learning models have been shown to be achieve remarkable success in the recognition of plant disease, conventional classifiers commonly rely on iterative gradient-based optimization, resulting in increased training complexity. This present study investigates a hybrid framework for the classification of chili leaf disease that combines DenseNet201-based deep feature extraction with a Broad Learning System (BLS) classifier. The DenseNet201 model is employed to generate discriminative feature representations, whereas the BLS approach employs a closed-form ridge regression solution for classification. The present study involved experiments conducted by means of the publicly available Chili Plant Leaf Disease Dataset containing 1,856 original images from six different disease categories. To prevent data leakage, the dataset was initially partitioned into training, validation, and test subsets at the original-image level, with data augmentation being applied exclusively to the training set, thereby increasing it to 9,093 images. The proposed DenseNet201+BLS framework achieved a test accuracy of 99.28% and a macro F1-score of 99.00%. Furthermore, the performance of the proposed model was compared with that of Softmax, Logistic Regression, Random Forest, Multilayer Perceptron, and Support Vector Machine (SVM) classifiers using identical DenseNet201 feature representations. Among the evaluated classifiers, SVM demonstrated the highest level of accuracy (99.64%), whereas BLS exhibited a favorable balance between predictive performance and computational efficiency, requiring less than one second for training while outperforming Softmax, Logistic Regression, and Random Forest. Grad-CAM visualizations further demonstrated that the extracted deep features focus on disease-relevant regions such as lesions, discoloration patterns, and abnormal leaf structures. The findings indicate that the integration of DenseNet201 feature extraction with a Broad Learning System offers a competitive and computationally efficient alternative for the automated classification of chili leaf disease. The proposed framework facilitates accurate disease recognition with substantially reduced training costs, making it a promising solution for resource-efficient agricultural monitoring and decision-support applications.
Website Utilization to Optimize Kurnia Laundry's UMKM Business Operations in Ogan Ilir Apriansyah; Dedi Haryanto; Arka Dafa Haqiki; Zulhipni Reno Saputra
Journal of Innovation and Technology Polbeng Series on Informatics (INOVTEK Polbeng - Seri Informatika) Vol. 11 No. 1 (2026): February
Publisher : P3M Politeknik Negeri Bengkalis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35314/k4ybzz13

Abstract

The ever-evolving information technology has a significant impact on many industries, one of which is micro, small, and medium enterprises (MSMEs). Kurnia Laundry is an MSME in Ogan Ilir, still using a manual system in recording transactions, stock management, and customer service, which causes inefficiencies and operational delays. The main purpose of the research focuses on the development of a website-based Point of Sale (POS) system that can optimize Kurnia Laundry's business operations. This research adopts the Research and Development (R&D) method with a waterfall model approach, which includes the phases of analysis, design, implementation, system testing, and maintenance. The results of the study show that the POS system is able to increase the efficiency of transaction recording, speed up the service process, and provide transparent service information to customers. The implementation of this system also helps business owners monitor business performance in real time, manage customer data, and optimize stock management. Thus, the use of the website as a POS system has a significant impact on increasing the efficiency and competitiveness of laundry MSMEs.  
Implementasi Ensemble Weighted Voting Pada Arsitektur Densenet Mobilenet Xception Untuk Klasifikasi Penyakit Diabetic Retinopathy Lucky Indra Kesuma; Des Alwine Zayanti; Anita Desiani; Purwita Sari; Zulhipni Reno Saputra; Muhammad Ihsan; Fathona Nur Muzayyadah
IDEALIS : InDonEsiA journaL Information System Vol. 9 No. 1 (2026): Jurnal IDEALIS Januari 2026
Publisher : Universitas Budi Luhur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36080/idealis.v9i1.3714

Abstract

Convolutional Neural Network (CNN) merupakan salah satu pendekatan deep learning yang banyak digunakan pada tugas klasifikasi dan segmentasi citra, termasuk pada bidang kesehatan. Salah satu penerapan penting CNN adalah pada analisis citra Diabetic Retinopathy (DR), yaitu penyakit pada retina mata yang disebabkan oleh komplikasi diabetes jangka panjang dan dapat menyebabkan gangguan penglihatan hingga kebutaan apabila tidak terdeteksi secara dini. Namun, penggunaan arsitektur CNN tunggal sering mengalami keterbatasan, seperti overfitting, kebutuhan komputasi yang tinggi, atau kemampuan ekstraksi fitur yang belum optimal. Oleh karena itu, metode ensemble dapat digunakan untuk mengombinasikan keunggulan dari beberapa model guna meningkatkan kinerja klasifikasi. Pada penelitian ini diusulkan metode ensemble berbasis weighted voting dengan menggabungkan tiga arsitektur CNN, yaitu DenseNet, MobileNet, dan Xception, untuk klasifikasi biner Diabetic Retinopathy. DenseNet dipilih karena kemampuannya dalam mengekstraksi fitur yang kaya melalui konektivitas antar lapisan, MobileNet dipilih karena efisiensi komputasi dan ukuran model yang ringan, sedangkan Xception digunakan karena kemampuannya menyeimbangkan kedalaman jaringan dan efisiensi komputasi melalui depthwise separable convolution. Tahapan penelitian meliputi pengumpulan data, pelatihan model, pengujian, serta evaluasi kinerja. Dataset EyePACS digunakan sebagai data pelatihan, sedangkan dataset APTOS dimanfaatkan sebagai data pengujian untuk menguji kemampuan generalisasi model. Hasil eksperimen menunjukkan bahwa metode ensemble yang diusulkan menghasilkan kinerja yang baik dengan nilai akurasi sebesar 85,22%, sensitivitas 70,63%, spesifisitas 99,40%, F1-score 87,21%, serta nilai Cohen’s Kappa sebesar 0,7032. Hasil ini menunjukkan bahwa pendekatan ensemble mampu meningkatkan kinerja klasifikasi dan mengurangi permasalahan overfitting dibandingkan model CNN tunggal, serta berpotensi dikembangkan sebagai sistem pendukung keputusan untuk skrining otomatis Diabetic Retinopathy.
Implementasi Sistem Informasi Manajemen Aset Inventaris Alat Kerja Karyawan Pustekinfo DPR RI Berbasis Web David Agustianto Rapel; Zulhipni Reno Saputra; Lucky Indra Kusuma
Infotek: Jurnal Informatika dan Teknologi Vol. 9 No. 1 (2026): Infotek : Jurnal Informatika dan Teknologi
Publisher : Fakultas Teknik Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/jit.v9i1.33771

Abstract

Pustekinfo DPR RI plays an important role in supporting information technology operational activities, including the management of employees’ work equipment inventory assets. Asset management that is still carried out using conventional methods has the potential to cause various problems, such as disorganized data, difficulties in monitoring asset transactions, and suboptimal supervision of asset usage. This study aims to design and implement a web-based Information System for Managing Employees’ Work Equipment Inventory Assets at Pustekinfo DPR RI in order to improve the effectiveness of asset management. The system development method used is the Waterfall method, which consists of the stages of requirements analysis, system design, implementation, testing, and maintenance. Data collection techniques include observation, interviews, and literature study. The results indicate that the developed information system is able to support structured asset management, where the Admin can manage users, asset transactions, and monitor employee data, while Users (employees) are able to manage their personal profiles independently. The results of black box testing confirm that all main system functionalities operate properly in accordance with the specified requirements, with no significant functional errors identified. Therefore, the system is considered feasible for implementation and is expected to improve efficiency, accuracy, and transparency in managing work equipment inventory assets within the Pustekinfo DPR RI environment.
Sistem Informasi Penjualan Kebaya Pada Butik Purwaningsih Berbasis Web di kota Palembang Dela caressa Adio; Zulhipni Reno Saputra Elsi
TEKNIKA Vol. 19 No. 2 (2025): TEKNIKA
Publisher : Politeknik Negeri Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.14635834

Abstract

Perkembangan teknologi informasi telah memberikan dampak yang signifikan dalam dunia bisnis, termasuk memudahkan proses transaksi dan pemasaran melalui media berbasis web. Namun, Butik Purwaningsih di Kota Palembang, yang bergerak di bidang penjualan kebaya seperti kebaya dress, kebaya atasan, dan baju batik pria. Masih mengandalkan sistem penjualan konvensional. Proses manual ini mengakibatkan kendala seperti kesalahan pencatatan, kehilangan data, keterbatasan jangkauan pemasaran, dan minimnya efisiensi dalam pengelolaan stok barang serta pembuatan laporan. Penelitian ini bertujuan untuk merancang dan mengimplementasikan sistem informasi penjualan berbasis web yang dapat membantu Butik Purwaningsih dalam mengelola data penjualan, stok barang, dan laporan secara terintegrasi. Metode pengembangan sistem menggunakan model Waterfall, dengan teknologi PHP dan MySQL sebagai basis implementasi. Sistem ini dilengkapi fitur katalog produk, pencatatan transaksi, pengelolaan stok, serta pembuatan laporan otomatis yang dapat diakses dengan mudah melalui internet. Hasil implementasi menunjukkan bahwa sistem informasi penjualan berbasis web mampu meningkatkan efisiensi operasional butik, memperluas jangkauan pasar hingga ke luar Kota Palembang, serta memberikan kemudahan dan kenyamanan bagi pelanggan dalam melakukan transaksi. Dengan demikian, sistem ini diharapkan dapat menjadi solusi yang efektif untuk mengatasi kendala yang dihadapi Butik Purwaningsih sekaligus mendukung keberlangsungan bisnisnya di era digital.
Co-Authors Aan Ripangga Adi Saputra Agustanti, Sri Primaini Akbar Wijaya Al Amalul Khoir Al-Faris, Muhammad Ghozi Alamsyah, Dedy Andrean Hendri Andriani, Dhira Afiffah Anita Desiani Apriansyah Apriansyah Apriansyah, Apriansyah Arka Dafa Haqiki arkhan, muhammad ghozi Ayundha Lathary Bunga Intan Dafa Haqiki, Arka David Agustianto Rapel David Agustianto Rapel Dedi Haryanto Dedi Haryanto Dedi Haryanto Dedi Haryanto Dela caressa Adio Deris Stiawan Des Alwine Zayanti Fajrie Agus Dwino Putra Fathona Nur Muzayyadah Fatma Susilawati Mohamad Ferro Luis Juliansyah Gita Rohana Hartini Hartini Hartini Hartini Hartini Hartini Hartini Hartini Hendra Pratama M Hendri Maulana M Herri Setiawan Hidayat, KMS. M. Wahyu Jimmei Jimmei Jimmei, Jimmei Jimmie Jusmawati Jusmawati, Jusmawati Karnadi Kemas Muhammad Wahyu Hidayat Kusuma, Winanto Aji Lingga Wijaya, Harma Oktafia Lucky Indra Kesuma Lucky Indra Kusuma Luh Putu Ratna Sundari Lukman Sunardi M. Ikhsan Meilyana Winda Perdana Meli Astriani Meliana Winda Perdana Moehammad Irfansyah Muhammad Ihsan Muhammad Ihsan Nabilah Dwi Agustin Nabilah, Rihhadatul Nurhayati Nurhayati Oji Prandi Oktariani, Nandita Perdana, Meilyana Winda Primaini, Sri Probo Sukadi Sumarno Purwita Sari Putra, Fajrie Agus Dwino Rahmat Budiarto Randy Hidayat Rapel, David Agustianto Rara Viona Angelia Rihhadatul Nabilah Riski Riski Rudi Kurniawan Saputra, Pirman Sari, Nurlayli Indah Solekhan, Ahmad Sri Primaini Sri Primaini Sri Primaini Sri Primaini Sri Primaini Agustanti Supli, Ahmad Affandi Syamsul Arifin, M. Agus Toni Ismail Tri Hasanah Bimastari Aviani Vera Nuranjani Vindy Rizky Putri Safira Widyastuti, Mia Aulia Yazid Idris, Mohd. Yogi Candra Pratama Yudho Suprapto, Bhakti