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All Journal Jurnal Informatika dan Teknik Elektro Terapan Jurnal SOLMA Jurnal TAM (Technology Acceptance Model) METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi Jurdimas (Jurnal Pengabdian Kepada Masyarakat) Royal EDUMATIC: Jurnal Pendidikan Informatika Jurnal Abdimas PHB : Jurnal Pengabdian Masyarakat Progresif Humanis Brainstorming Viva Medika: Jurnal Kesehatan, Kebidanan dan Keperawatan Jurnal Sistem Informasi Kaputama (JSIK) JSAI (Journal Scientific and Applied Informatics) Respati Jurnal Peduli Masyarakat Journal of Innovation Information Technology and Application (JINITA) Jurnal Teknik Informatika (JUTIF) Jurnal Teknologi dan Bisnis Mitra Mahajana: Jurnal Pengabdian Masyarakat Joong-Ki : Jurnal Pengabdian Masyarakat Buletin Sistem Informasi dan Teknologi Islam Jurnal Pengabdian Masyarakat Jurnal Ilmu Komputer dan Teknologi (IKOMTI) Jurnal Borneo Informatika dan Teknik Komputer (JBIT) Blend Sains Jurnal Teknik JSITP SEMINAR NASIONAL PENELITIAN DAN PENGABDIAN KEPADA MASYARAKAT Jurnal Pengabdian Pada Masyarakat METHABDI Journal Of Computer Science And Technology SENAPAS Journal of Advanced Health Informatics Research Joong-Ki Jurnal Multidisiplin Pengabdian Masyarakat (JMPM) Joong-Ki Jurnal TAM (Technology Acceptance Model) Scientific Journal of Engineering Research Jurnal Informatika, Komputasi, Aplikasi & Bisnis (INFOKABIN)
Raden Bagus Bambang Sumantri
Universitas Al-Irsyad Cilacap
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IMPLEMENTASI SISTEM INFORMASI AKADEMIK DI SD N GRUGU 03 BERBASIS WEB MENGGUNAKAN LARAVEL Azkiyatun Nadroh; Kiki Alfaini Nurrizki; R. Bagus Bambang Sumantri; Retno Agus Setiawan
Journal of Computer Science and Technology (JOCSTEC) Vol 1 No 3 (2023): JOCSTEC - September
Publisher : PT. Padang Tekno Corp

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59435/jocstec.v1i3.178

Abstract

Saat ini belum semua lembaga pendidikan menerapkan sistem informasi akademik, diharapkan dalam waktu dekat sistem informasi akademik pendidikan ini dapat diterapkan di setiap lembaga pendidikan dan menghasilkan aplikasi yang benar-benar mendukung fungsi dunia pendidikan pada umumnya. SD N Grugu 03 adalah salah satu lembaga pendidikan di provinsi Jawa Tengah yang saat ini belum memiliki sistem informasi akademik tersediri. Penelitian ini menggunakan metode Waterfall sebagai metode pengembangan sistemnya dimana framework Laravel diterapkan untuk membangun sistem informasi akademik. Hasil penelitian menunjukan bahwa Sistem informasi akademik berbasis web yang dikembangkan dapat mendukung pengelolaan data guru, siswa, mata pelajaran, ruang kelas, jadwal, daftar hadir, dan penilaian siswa. Selain itu, hasil pengujian sistem menunjukan bahwa sistem telah berhasil menerapkan semua fiturnya dengan baik.
A Thirdweb-Based Smart Contract Framework for Secure Sharing of Human Genetic Data on the Ethereum Blockchain Tri Stiyo Famuji; Bernadine Grancho; Galih Pramuja Inggam Fanani; Hidear Talirongan; Raden Bagus Bambang Sumantri
Scientific Journal of Engineering Research Vol. 1 No. 3 (2025): September
Publisher : PT. Teknologi Futuristik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64539/sjer.v1i3.2025.30

Abstract

Human genetic data, crucial for advancing personalized medicine, requires secure and privacy-preserving management solutions. Traditional approaches face challenges in scalability, security, and decentralized access control. This study proposes a blockchain-based framework leveraging Thirdweb and Ethereum smart contracts to address these issues. The framework integrates decentralized storage via IPFS for cost-efficient off-chain genetic data storage, while on-chain smart contracts manage access control, encryption, and audit trails. Utilizing Solidity for smart contract development, the system ensures role-based permissions, wallet-based authentication, and immutable transaction logging. Genetic data in FASTA format, sourced from NCBI, is encrypted and linked to IPFS hashes stored on the blockchain. The architecture supports dual interfaces—command-line for developers and a Thirdweb dashboard for end-users—enabling secure data upload, access, and monitoring. Testing demonstrated functional efficacy in data integrity, access verification, and audit capabilities. Results highlight the system’s ability to enhance privacy, eliminate intermediaries, and provide transparent data governance. The integration of Thirdweb further decentralizes operations, aligning with Web 3.0 principles. Key contributions include a scalable model for genetic data sharing, a customizable smart contract template, and a user-centric design. Future work should explore advanced encryption, real-world healthcare integration, and performance optimization under high-throughput conditions. This research bridges biotechnology and blockchain, offering a robust foundation for secure genomic data ecosystems.
Implementasi QR Code untuk Sistem Penyewaan Lapangan Futsal Berbasis Android Fajar Mahardika; Raden Bagus Bambang Sumantri; Rizki Ripai; Riki Aldi Pari
METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi Vol. 8 No. 2 (2024): METHOMIKA: Jurnal Manajemen Informatika & Komputersisasi Akuntansi
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/jmika.Vol8No2.pp147-154

Abstract

This research aims to implement QR code technology in an Android-based futsal field rental system. The development method used is an Android-based software development method (Mobile Apps Development). QR codes are used as a medium for user identification and verification when ordering a futsal field. This system is designed to make it easier for users to make field reservations quickly and efficiently. Users can make orders via the Android application by scanning the QR code available at the futsal field location. The implementation results show that using QR codes can speed up the reservation process and reduce the possibility of data input errors. Apart from that, using this system can also improve the user experience in ordering futsal fields. It is hoped that the implementation of QR codes in this system can increase efficiency and convenience in the overall futsal field ordering process.
Sistem Informasi Penjualan dan Pemesanan Online Berbasis Web pada Apotek Dua Farma Kiki Alfaini Nurrizki; Raden Bagus Bambang Sumantri; Arif Setia Sandi A
METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi Vol. 8 No. 2 (2024): METHOMIKA: Jurnal Manajemen Informatika & Komputersisasi Akuntansi
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/jmika.Vol8No2.pp164-173

Abstract

Indonesian society increasingly relies on information technology in various aspects of life, including business and healthcare services. Pharmacies, as vital entities in healthcare, require information systems to manage data effectively. However, the Indonesian Ministry of Health states that more than 80% of healthcare facilities in Indonesia have not yet adopted digital technology, including Apotek Dua Farma, which manages 700 types of medicines and 100 manual transactions daily. This research aims to develop an online-sales and ordering information system based on a website using the Laravel framework at Apotek Dua Farma to address the difficulties in recording products and sales processes. The method used is Rapid Application Development (RAD), a fast and iterative linear sequential software development model. The research results indicate that the web-based information system developed has four types of users: admin, owner, pharmacist, and customer. This system successfully implements features such as product management, cashier system, online order processing, transaction tracking, reporting, and successfully applies the QRIS payment method. Blackbox testing shows that all features function well and meet the operational needs of Apotek Dua Farma, thereby improving the efficiency and accuracy of product recording and sales.
Klasifikasi Status Gizi Balita Menggunakan Algoritma Support Vector Machine dengan Optimasi Grid Search Cross-Validation Azkiyatun Nadroh; Deny Nugroho Triwibowo; R. Bagus Bambang Sumantri
METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi Vol. 8 No. 2 (2024): METHOMIKA: Jurnal Manajemen Informatika & Komputersisasi Akuntansi
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/jmika.Vol8No2.pp250-257

Abstract

Toddlers are children aged 0 to 59 months who experience rapid growth and development and require a higher intake of nutrients. This study aims to classify the nutritional status of toddlers using the Support Vector Machine (SVM) algorithm with Grid Search optimization. The quality of a toddler's nutrition significantly affects their growth and development, and malnutrition is a major issue in Indonesia. Data were obtained from Posyandu Desa Jagalempeni, comprising a total of 512 toddler data entries. After undergoing pre-processing and feature engineering, the data were classified using SVM. The initial results showed an accuracy of 80%. Following the application of Grid Search optimization with the Radial Basis Function (RBF) kernel, accuracy increased to 86.17%. These results indicate that Grid Search is effective in optimizing SVM model parameters and improving classification performance.
Efisiensi Pemesanan Makanan dengan Aplikasi Android Berbasis Metode Rapid Application Development Raden Bagus Bambang Sumantri; Fadli Anadrea; Lina Endarwati; Evan Irmansyah W.
METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi Vol. 9 No. 2 (2025): METHOMIKA: Jurnal Manajemen Informatika & Komputersisasi Akuntansi
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/jmika.Vol9No2.pp226-237

Abstract

Technological advancements have provided efficient solutions for various activities, including those in the culinary business sector. With the growing use of smartphones, especially Android-based devices, there is a rising demand for a practical and fast food ordering system. This study aims to design and develop an Android-based food delivery application to address the limitations of manual ordering methods in restaurants, such as miscommunication and long queues. The development process adopts the Rapid Application Development (RAD) method, involving stages such as business modeling, data modeling, and application generation. Data were collected through observation, interviews, and literature review, and analyzed using qualitative methods. The implementation results show that the “PESANMAKAN” application improves the ordering process by providing complete menu information, order tracking, and transaction history features. Testing using the black-box method confirmed that all application functions operate as intended. In conclusion, this application effectively enhances restaurant operational efficiency and customer satisfaction, serving as a relevant digital solution for modern food ordering needs.
Penggunaan Algoritma Naive Bayes Untuk Analisis Sentimen pada Ulasan Aplikasi Threads Di Google Play Store Raden Bagus Bambang Sumantri; Dede yusuf; Tri Stiyo Famuji; Walidy Rahman Hakim; Retno Agus Setiawan
INFOKABIN (Informatika Komputasi Aplikasi dan Bisnis) Vol 1 No 2 (2026): Juli 2026
Publisher : Universitas Al-Irsyad Cilacap

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36760/ifkb.v1i2.758

Abstract

Kemajuan teknologi informasi mendorong pengguna untuk memberikan ulasan terhadap aplikasi digital, termasuk Threads, platform berbasis teks yang dirilis oleh Meta Platforms Dengan menggunakan Algoritma Naive Bayes, penelitian ini bertujuan menganalisis ulasan pengguna aplikasi Threads di Google Play Store. Tahapan penelitian meliputi pengumpulan data melalui teknik scraping, pemrosesan awal data (preprocessing), pembobotan menggunakan metode TF-IDF, serta klasifikasi sentimen dengan membagi data ke dalam set pelatihan (training) dan pengujian (testing). Hasil penelitian menunjukkan bahwa sebagian besar ulasan pengguna memiliki sentimen yang positif, dengan akurasi klasifikasi sebesar 84%. Untuk sentimen negatif, precision, recall, dan f1-score masing-masing mencapai 74%, 65%, dan 69%. Sementara itu, sentimen positif memiliki precision sebesar 84%, recall 89%, dan f1-score 86%. Meskipun model berhasil mengklasifikasikan sentimen dengan baik, masih terdapat kesalahan identifikasi pada ulasan negatif, disebabkan oleh hal-hal seperti bahasa yang tidak jelas dan sentimen yang beragam. Penelitian ini membantu pengembang meningkatkan pengalaman pengguna dan kualitas aplikasi. Untuk penelitian selanjutnya, disarankan membandingkan algoritma lain seperti k-Nearest Neighbour atau kernel RBF serta menerapkan metode k-fold cross validation untuk meningkatkan keakuratan model.
Pengaturan Perancangan Aplikasi Mobile Goletkos Untuk Kemudahan Cari Hunian Kos Riska Suryani; Retno Agus Setiawan; Hadi Jayusman; Akhmad Noval Khusen; Arif Dermawan; Raden Bagus Bambang Sumantri
INFOKABIN (Informatika Komputasi Aplikasi dan Bisnis) Vol 1 No 2 (2026): Juli 2026
Publisher : Universitas Al-Irsyad Cilacap

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36760/ifkb.v1i2.760

Abstract

Abstrak Peningkatan jumlah mahasiswa, pekerja, dan pendatang di kota-kota besar mendorong naiknya permintaan akan hunian sementara seperti kos. Namun, proses pencarian kos seringkali tidak efisien karena sulitnya mendapatkan informasi yang lengkap mengenai fasilitas, harga, serta lokasi. Perancangan ini bertujuan untuk mengembangkan aplikasi bernama GoletKos, aplikasi ini berbasis Android yang dibuat untuk mempermudah pengguna dalam mencari dan memilih kamar kos sesuai dengan keinginan mereka. Aplikasi berbasis Android ini dirancang untuk mempermudah pengguna dalam menemukan kamar kos yang sesuai dengan kebutuhan dan preferensi mereka. Dengan memanfaatkan teknologi geolokasi, GoletKos mampu merekomendasikan kos-kosan terdekat secara real-time. Dilengkapi dengan fitur pencarian yang fleksibel, pengguna dapat menyaring pilihan berdasarkan harga, fasilitas, lokasi, dan kriteria lainnya. Selain itu, GoletKos juga menyajikan informasi yang lengkap mengenai setiap kos, mulai dari foto-foto ruangan, fasilitas yang tersedia, hingga ulasan dari pengguna lain. Antarmuka yang user-friendly dan desain yang intuitif membuat GoletKos mudah digunakan oleh siapa saja. Melalui metodologi pengembangan waterfall, GoletKos telah berhasil melewati berbagai tahap pengembangan dan pengujian, sehingga menghasilkan aplikasi yang berkualitas dan handal. Hasil evaluasi menunjukkan bahwa GoletKos mampu meningkatkan efisiensi pencarian kos secara signifikan dibandingkan dengan metode konvensional. Dengan GoletKos, mencari kos tidak lagi menjadi kegiatan yang membosankan dan melelahkan. Kata kunci—Android, pencarian kos, geolokasi, efisiensi pencarian, hunian sementara.
A Performance Trade-Off Analysis Between Minutiae-Based Algorithm and Convolutional Neural Networks in Fingerprint Image Identification Raden Bagus Bambang Sumantri; Fajar Mahardika; Dede Yusuf; Tri Stiyo Famuji
Jurnal Teknik Informatika (Jutif) Vol. 7 No. 4 (2026): JUTIF Volume 7, Number 4, August 2026
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2026.7.4.5609

Abstract

Fingerprint image identification plays a crucial role in biometric authentication systems; however, selecting an appropriate algorithm remains challenging due to trade-offs between identification accuracy and computational efficiency. This study aims to comparatively evaluate the performance of a traditional Minutiae-Based algorithm and a Convolutional Neural Network (CNN) for fingerprint image identification to determine their respective strengths and limitations. The Minutiae-Based method extracts distinctive ridge features, such as ridge endings and bifurcations, followed by a similarity-based matching process. In contrast, the CNN model automatically learns discriminative features from raw fingerprint images through deep learning. Experiments were conducted on a multi-subject fingerprint dataset, and performance was assessed using identification accuracy, False Acceptance Rate (FAR), False Rejection Rate (FRR), and computation time per image. The results show that CNN achieved a higher identification accuracy of 98.6%, with a FAR of 1.2% and FRR of 1.4%, outperforming the Minutiae-Based algorithm, which obtained 92.3% accuracy, 4.8% FAR, and 3.9% FRR. However, the Minutiae-Based approach demonstrated superior computational efficiency, requiring an average processing time of 0.42 seconds per image compared to 1.35 seconds for CNN. These findings highlight a clear performance trade-off between accuracy and processing speed. The novelty of this study lies in providing a structured quantitative comparison that integrates accuracy, security metrics, and computational cost within a unified evaluation framework. The results contribute to the development of biometric systems by offering practical guidance for selecting fingerprint identification algorithms based on application-specific requirements, whether prioritizing high recognition accuracy or real-time computational efficiency.
Co-Authors Abdul Hakim Prima Yuniarto Abdurrahman Hakim, Nurfadhli Akhmad Noval Khusen Ali Sya'bana S Amanah Tri Wulandari Anandita, Chairunnisa Al Majra Ratri Ardiyani, Amalia Arfianto, Irfan Ariansyah, Awal Ariefah Khairina I Arif Dermawan Arif Setia Sandi A. Asharryadi Noegroho Azkiyatun Nadroh Bernadine Grancho Chairunnisa Al Majra Ratri Anandita Cipta Sigitta Haryono, Rito Dede Yusuf Dede Yusuf Dede Yusuf, Dede Deny Nugroho Triwibowo Deny Nugroho Triwibowo Dewa, Bala Putra Diky Setiawan Dimas Febri Kuncoro Dinar Danan Sukmawati Dwita Urip Natasa Eko Agus Priatno Ema Utami Estu Prayoga Evan Irmansyah W Evan Irmansyah W. Fadila Nur Kamala Fadli Anadrea Fadli Anadrea Fahrudin, Imam Fajar Mahardika Fajar Syafani, Henky Galih Pramuja Inggam Fanani Guntur Subari Hadi Jayusman Hadi Jayusman Hadi Jayusman Hakim, Walidy Rahman Hani Istiqomah Hidear Talirongan Husna, Aqmal Miftahul Iis Setiawan Mangku Negara Ilham Sidik Saksena Imam Ahmad Ashari Imam Ahmad Ashari Imam Ahmad Ashari, Imam Ahmad Irfani Zuhrufillah Iskandar, Sandi Najib Iwan Purnawan Iwan Safi’i Jayusman, Hadi Jessa Syahputra Khoirun Nisa Khoirun Nisa Kiki Alfaini Nurrizki Korisaputri Korisaputri Korisaputri, Korisaputri Kurnia Sari, Ina Lina Endarwati Lina Endarwati Lutviana, Lutviana Mahardika, Fajar Mayji Danardono miftahul Khoeri, Amarulloh Nadroh, Azkiyatun Nugroho Triwibowo, Deny Nuni Wulansari Nur Arifin Nurhalizah, Ria Suci Nurrizki, Kiki Alfaini Nurul Alfiah Pari, Riki Aldi Prayoga, Estu Purnama Sari, Sri Purnomo, Jouska Brillian Putra Purwayanto, Evana Anugrah Putri, Sari Andini Ratih ratih ratih Retno Agus Setiawan Ria Suci Nurhalizah Riki Aldi Pari Riska Suryani Riska Suryani Ristianingsih Rizki Ripai Rofi Taufiqurrohman Rohman, Taufik Fadhil Rokhadi, Reza Safitri Dwi Lestari Salim Nurul Umam Samodra, Galih Sandi Najib Iskandar Sari Andini Putri Setiawan, Retno Agus Somaida, Mochammad Hasymi Suryani, Riska Syifa Marsyanda Chairunnisa TRI KUSUMA WARDANI Tri Stiyo Famuji Triwibowo, Deny Nughoro Triwibowo, Deny Nugroho Tukiman, Hellena Indriani Ulan Juniarti Walidy Rahman Hakim Walidy Rahman Hakim Widadi, Budi Willy Setiawan Wirakhmi, Ikit Netra Wirasto, Anggit Wulandari, Amanah Tri Ziyan Walidanaen Fandol Zulfikar Yusya Mubarak