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All Journal Dinamik Techno.Com: Jurnal Teknologi Informasi JSI: Jurnal Sistem Informasi (E-Journal) CESS (Journal of Computer Engineering, System and Science) Jurnal ELTIKOM : Jurnal Teknik Elektro, Teknologi Informasi dan Komputer Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) RABIT: Jurnal Teknologi dan Sistem Informasi Univrab JITK (Jurnal Ilmu Pengetahuan dan Komputer) JURNAL TEKNOLOGI DAN ILMU KOMPUTER PRIMA (JUTIKOMP) STRING (Satuan Tulisan Riset dan Inovasi Teknologi) Journal of Information System, Applied, Management, Accounting and Research International Journal of Informatics and Computation JATI (Jurnal Mahasiswa Teknik Informatika) REMIK : Riset dan E-Jurnal Manajemen Informatika Komputer Jurnal Sistem Informasi dan Sains Teknologi Jurnal Teknologi Informatika dan Komputer Journal of Computer Networks, Architecture and High Performance Computing Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Bulletin of Information Technology (BIT) Pelita Teknologi : Jurnal Ilmiah Informatika, Arsitektur dan Lingkungan Jurnal Ilmiah SIGMA: Informatics Engineering Journal of UPB Joong-Ki : Jurnal Pengabdian Masyarakat Joutica : Journal of Informatic Unisla Journal of Practical Computer Science (JPCS) Prosiding Seminar Nasional Sisfotek (Sistem Informasi dan Teknologi Informasi) Malcom: Indonesian Journal of Machine Learning and Computer Science Riwayat: Educational Journal of History and Humanities VIDHEAS: Jurnal Nasional Abdimas Multidisiplin SAINTEK Joong-Ki JPMAS : Jurnal Pengabdian Masyarakat Dedikasi : Jurnal Pengabdian Lentera RECORD Journal of Loyality and Community Development Jurnal ilmiah teknologi informasi Asia Joong-Ki
Agung Nugroho
Universitas Pelita Bangsa
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Social Sciences Other

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Optimalisasi Website Sekolah untuk Peningkatan Layanan Informasi Digital Widiyatmoko, Arif Tri; Nugroho, Agung; Hidayati, Nur
Dedikasi: Jurnal Pengabdian Lentera Vol. 2 No. 04 (2025): April 2025
Publisher : Lentera Ilmu Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59422/djpl.v2i04.878

Abstract

Kegiatan pengabdian masyarakat ini bertujuan untuk mengoptimalkan website sekolah sebagai sarana peningkatan layanan informasi digital. Metode pelaksanaan meliputi asesmen website, diskusi dengan pihak sekolah, dan optimalisasi website (konten, SEO, tampilan), serta implementasi langsung. Hasil kegiatan diharapkan meningkatkan efektivitas website dalam menyajikan informasi profil, layanan, dan kegiatan sekolah kepada siswa, orang tua, calon siswa, dan masyarakat luas. Optimalisasi ini bertujuan untuk menciptakan platform informasi yang lebih mudah diakses, menarik, dan dikelola secara berkelanjutan oleh pihak sekolah. Kegiatan ini berkontribusi pada peningkatan citra sekolah, transparansi informasi, dan kualitas layanan pendidikan di era digital
Pengembangan Sistem Interaksi Robotik berbasis Speech Recognition untuk Layanan Publik di Kampus Alviyan, Eric; Nugroho, Agung; Fauzi, Ahmad
Dinamik Vol 30 No 2 (2025)
Publisher : Universitas Stikubank

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35315/dinamik.v30i2.10242

Abstract

ABSTRACT Information services on campus are often delayed due to reliance on staff, resulting in long queues and inefficient waiting times. This study aims to design and develop a robotic interaction system based on speech recognition and Natural Language Processing (NLP), equipped with a virtual button as an alternative activation method. The system allows users to interact with the robot using voice, while the virtual button provides an additional option for users who are more comfortable with touch-based interaction. The research method employed is prototype development, which includes the design, implementation, and evaluation of the system. Testing was conducted to assess the effectiveness of the system in delivering information services quickly and accurately. The results show that the developed system can enhance service efficiency, reduce dependence on staff, and facilitate faster and more practical interactions between users and the robot. This study is expected to contribute to the development of technology-based public service systems, especially in the campus environment. Keywords: robotic interaction, speech recognition, NLP, virtual button, public service
Penerapan Machine Learning untuk Prediksi Kenaikan Harga Beras Premium Menggunakan Algoritma Regresi Linier: Application of Machine Learning for Premium Rice Price Increase Prediction Using Linear Regression Algorithm Widiyatmoko, Arif Tri; Butsianto, Sufajar; Nugroho, Agung
MALCOM: Indonesian Journal of Machine Learning and Computer Science Vol. 5 No. 3 (2025): MALCOM July 2025
Publisher : Institut Riset dan Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57152/malcom.v5i3.2123

Abstract

Ketidakstabilan harga beras premium sebagai komoditas pangan pokok memerlukan solusi prediksi yang akurat untuk membantu perencanaan ekonomi. Penelitian ini menerapkan algoritma Machine Learning, yaitu Regresi Linier, untuk memprediksi kenaikan harga beras premium. Model dilatih menggunakan data historis harga dan dievaluasi kinerjanya dengan metrik MAE (0.244), MSE (0.092), dan R-squared (0.893), menunjukkan tingkat akurasi yang cukup baik dalam memprediksi harga. Selanjutnya, model yang berhasil dikembangkan diimplementasikan ke dalam aplikasi web interaktif berbasis Streamlit. Aplikasi ini memungkinkan pengguna untuk memasukkan tanggal dan secara langsung mendapatkan prediksi harga beras premium. Hasil penelitian menunjukkan bahwa Regresi Linier efektif dalam memprediksi harga beras premium, dan implementasi ke dalam aplikasi Streamlit berhasil menyediakan alat prediksi yang mudah diakses. Meskipun demikian, penelitian lanjutan dapat berfokus pada peningkatan akurasi model dan eksplorasi algoritma Machine Learning lainnya untuk prediksi harga komoditas
Development of A We-Based Clinic Information Service System Application Using PHP And MySQL Ilyas, Abdi; Sasongko, Ananto Tri; Nugroho, Agung
Riwayat: Educational Journal of History and Humanities Vol 8, No 4 (2025): Oktober, Social Issues and Problems in Society
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24815/jr.v8i4.50002

Abstract

This research, titled "DEVELOPMENT OF A WEB-BASED CLINIC INFORMATION SERVICE SYSTEM APPLICATION USING PHP AND MySQL" aims to optimize efficiency and service quality at Atlantic Clinic through the implementation of a web-based information system. Analysis and testing indicate that the current conventional service method is no longer adequate, leading to inefficiencies in service processes. The newly designed system enhances administrative efficiency by accelerating patient data recording and retrieval. Additionally, the queue system provides better time estimates for patients, while the medical record system ensures the security and accuracy of patient data. The integrated cashier system improves payment transaction efficiency, reducing billing errors. Master data management, which includes medication, medical procedures, doctors, and users, becomes more structured and accurate. The implementation of this system is expected to bring significant improvements to the quality of service at Atlantic Clinic, making it more modern, effective, and efficient.
COMPARATIVE ANALYSIS OF CLASSIFICATION ALGORITHMS IN HANDLING IMBALANCED DATA WITH SMOTE OVERSAMPLING APPROACH Nugroho, Agung; Wiyanto; Maulana, Donny
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.v11i2.6956

Abstract

Most machine learning algorithms tend to yield optimal results when trained on datasets with balanced class proportions. However, their performance usually declines when applied to data with significant class imbalance. To address this issue, this study utilizes the Synthetic Minority Oversampling Technique (SMOTE) to improve class distribution before model training. Several classification algorithms were employed, including Decision Tree, K-Nearest Neighbors, Logistic Regression, Support Vector Machine, and Random Forest. Experimental results reveal that the Random Forest model produced the highest accuracy (95.70%) and the best F1-score, demonstrating a well-balanced trade-off between precision and recall. In contrast, the Logistic Regression algorithm achieved the highest recall (74.20%), indicating better sensitivity in identifying positive instances despite a lower F1-score. These outcomes highlight the importance of choosing appropriate classification methods based on the specific evaluation goals whether prioritizing accuracy, recall, or overall model balance.
Perancangan Sistem Informasi Monitoring Produksi pada PT. NOK Indonesia Metode Rapid Application Development (RAD) Tiaraningsih; Agung Nugroho; Karsito
REMIK: Riset dan E-Jurnal Manajemen Informatika Komputer Vol. 9 No. 3 (2025): Volume 9 Nomor 3 Agustus 2025
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/remik.v9i3.15196

Abstract

PT. NOK mengalami kendala karena proses pengelolaan data dan informasi masih dilakukan secara manual, sehingga sering terjadi keterlambatan, duplikasi data, dan kesalahan pencatatan. Kondisi ini menghambat efisiensi kerja serta mengurangi ketepatan informasi yang dibutuhkan oleh manajemen. Untuk mengatasi permasalahan tersebut, Penelitian ini menerapkan metode Rapid Application Development (RAD), yang memungkinkan proses pengembangan sistem berlangsung lebih cepat dengan melibatkan pengguna secara intensif pada setiap tahap pengembangannya. Proses perancangan meliputi analisis kebutuhan, pemodelan sistem menggunakan use case, activity diagram, dan sequence diagram, pembuatan antarmuka, serta pengujian sistem dilakukan dengan metode blackbox testing guna memverifikasi bahwa seluruh fungsi beroperasi sesuai dengan spesifikasi yang telah ditetapkan. Hasil dari penelitian menunjukkan bahwa penerapan metode RAD mampu menghasilkan sistem informasi yang efektif, user-friendly, dan sesuai dengan kebutuhan operasional PT. NOK, dengan waktu pengembangan yang relatif singkat dibandingkan metode tradisional.
Co-Authors Abdul Halim Anshor Adi Kusuma Adi Kusuma Afrizal Ardiansyah Agus Suwarno, Agus Ahmad Rivaldi Ahmad Santoso Ahmad Turmudi Zy Ahmad Turmudi Zy Ahmad Turmudi Zy Al Abdilah, M. Akmal Alfatan Dzulatkha Alviyan, Eric Ananto Tri Sasongko Angga Kurniadi Hermawan Ansor, Abdul Halim Ari Maulana Arif Tri Widiyatmoko Aswan S Sunge Aswan Supriyadi Sunge Ayu Indriyanti Bima Randy Gumilang Butsianto, Sufajar Chandra, Ahmad Alfian Donny Maulana Edora Elkin Rilvani Endrik Fauzi Ahmad Muda Fitri, Retno Ike Yunia Pasa Ikhsan Romli Ilyas, Abdi Irfan Afriantoro Jamaludin Jamaludin Karsito Londong, Riko Reky Maulana, Donny Muhammad Abdul Rahman Wahid Muhammad Rizki Sani Nisa, Khilyatun Nur Hidayati Nur Hidayati Nurjeli Nurjeli Priatna , Wowon Rusdi, Adi Salman Alfaridzi Sasongko, Ananto Tri Septiawan Dwi Pramukti Supriadi, Asmadi Tiaraningsih Turmudi Zy, Ahmad Wahyono Wahyono Wahyu Hadikristanto Widiyatmoko, Arif Tri Wiyanto Wiyanto Wiyanto - Wiyanto Wiyanto Wiyanto, Wiyanto Yoga Religia