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All Journal Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI) Jurnal Pendidikan Ilmu Komputer (JPIK) Jurnal Ilmu Komputer (JIK) Jurnal Computech & Bisnis (e-Journal) Jurnal Teknologi Informasi dan Ilmu Komputer Indonesian Journal of Science and Technology METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer KOMPUTIKA - Jurnal Sistem Komputer Jurnal Pemberdayaan: Publikasi Hasil Pengabdian Kepada Masyarakat Aptisi Transactions on Management Jurnal Teknologi Terpadu Jurnal Komputer Teknologi Informasi Sistem Komputer (JUKTISI) Digital Transformation Technology (Digitech) JATIKOM: Jurnal Aplikasi dan Teori Ilmu Komputer Journal of Electronics Technology Exploration (JOeTEx) Journal of Computers for Society
Eddy Prasetyo Nugroho
Universitas Pendidikan Indonesia
Arts Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Languange, Linguistic, Communication & Media Library & Information Science Mathematics Social Sciences Other

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Model of Integrated System for Feeding Catfish and Monitoring Pond Temperature Based on IoT Turnip, Franklin; Suryoatmojo, Jason Rafif Pangestu; Nuris, Nuris; Nugroho, Eddy Prasetyo
Journal of Electronics Technology Exploration Vol. 2 No. 2 (2024): December 2024
Publisher : SHM Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52465/joetex.v2i2.385

Abstract

Indonesia is renowned for its rich biodiversity, including a diverse array of ornamental and consumable fish species. These fish are widely cultivated in aquariums, ponds, and cages, with prices varying greatly depending on the species. However, the current method of manual fish feeding remains inefficient and time-consuming. To address this challenge, an automated fish feeding system has been developed to streamline and enhance the feeding process.This research project was conducted using a simulation approach to lay the groundwork for a future prototype. The simulation involves an IoT-based model capable of providing automated feeding for catfish and monitoring the temperature of their pond. The system is designed for future implementation at Botani UPI, where traditional manual feeding methods are still prevalent.The primary objectives of this research are to automate catfish feeding and monitor the temperature of their pond. Feed will be dispensed according to a predetermined schedule stored in a database, allowing for flexible adjustments via the internet.Testing has demonstrated the successful operation of the website, fulfilling its core functions: adjusting pond water temperature as needed, automatically providing catfish feed, and scheduling regular feeding intervals. Users can control these functions remotely, enabling effective pond monitoring and management without physically being present at the site.The success of this testing underscores the immense potential of the integrated system to elevate catfish farming productivity and efficiency. By maintaining optimal pond temperatures, the health and growth of catfish can be better sustained, while scheduled and accurate feeding helps minimize feed wastage and ensures adequate nutrition for the fish. Additionally, the system reduces the manual workload for farmers, allowing them to focus on other aspects of pond management. Overall, the implementation of this technology not only offers economic benefits through increased production yield but also promotes more sustainable and modern fish farming practices.
Pengembangan E-Marketing Menggunakan Model Double Diamond Berbasis Web Untuk Meningkatkan Minat Konsumen di Zenitland Robbani, Zuhal; Siregar, Herbert; Nugroho, Eddy Prasetyo; Kusnendar, Jajang
Digital Transformation Technology Vol. 4 No. 2 (2024): Periode September 2024
Publisher : Information Technology and Science(ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/digitech.v4i2.5044

Abstract

Zenitland merupakan salah satu perusahaan yang bergerak pada bidang pengembangan properti. Proses bisnisnya berawal dari pemasaran melalui media iklan seperti Google dan Meta. Kemudian, konsumen yang tertarik akan menghubungi pihak Zenitland dan mengunjungi proyek hingga melakukan pembayaran. Setelah diteliti lebih lanjut, ketertarikan konsumen masih rendah sehingga jumlah orang yang survey dan melakukan pembayaran menjadi rendah. Berdasarkan masalah tersebut, peneliti akan mengembangkan website marketing dengan metode Double Diamond. Double Diamond dapat membantu dalam mengeksplorasi masalah dan mengembangkan solusi yang inovatif dengan berfokus pada pengguna. Karena itu, website yang dikembangkan akan memiliki pengalaman pengguna yang baik sehingga konsumen akan nyaman dan tertarik dengan produk yang ditawarkan. Untuk mengetahui tingkat keberhasilan website, penelitian ini akan diuji menggunakan User Experience Questionnaire (UEQ). UEQ dapat memberikan penilaian secara menyeluruh dengan cepat pada user experience sebuah produk. Hasil dari pengujian tersebut menunjukkan bahwa website yang dikembangkan dapat diterima dengan baik oleh calon konsumen.
Pengukuran Kelayakan Simulator Forensik Digital Menggunakan Metode Multimedia Mania Eddy Prasetyo Nugroho; Irawan Afrianto; Rini Nuraini Sukmana
MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer Vol. 21 No. 2 (2022)
Publisher : Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/matrik.v21i2.1556

Abstract

Pengujian kelayakan suatu media pembelajaran merupakan hal yang penting dilakukan untuk menjamin keberlangsungan, keberlanjutan dan keterikatan (engagement) antara aplikasi dengan penggunanya. Tujuan dari penelitian ini adalah menguji kelayakan dari aplikasi simulator forensik digital sebagai media ajar untuk menginvestigasi keamanan sistem pada lingkungan jaringan komputer menggunakan metode multimedia mania. Bidang jaringan komputer dan internet merupakan lingkungan yang memiliki kerentanan yang sangat tinggi, dimana berbagai macam jenis eksploitasi terhadap lingkungan ini sering terjadi dan menyebabkan kerugian yang besar, sehingga pembelajaran pada bidang ini menjadi suatu hal yang penting dilingkungan sekolah, khususnya pada Sekolah Menengah Kejuruan bidang teknik dan jaringan komputer serta informatika. Multimedia mania merupakan suatu metode pengukuran kelayakan berupa rubrik yang menilai aspek-aspek teknis pada aplikasi multimedia. Rubrik ini digunakan untuk menggali lebih banyak informasi terkait keselarasan media pembelajaran dengan kebutuhan dan kenyamanan pengguna. Penilaian pada rubrik ini terdiri dari 5 aspek penting, yaitu mekanisme, elemen multimedia, struktur informasi, dokumentasi, dan kualitas konten multimedia. Hasil pengujian kelayakan simulator forensik digital di 4 sekolah menegah kejuruan mendapatkan nilai kelayakan sebesar 89,22% dari ahli media dan 96,55% dari penilaian siswa. Hasil ini menunjukkan bahwa simulator forensik digital layak untuk dijadikan sebagai media pembelajaran dan bahan ajar multimedia pada bidang investigasi keamanan jaringan komputer.
Rancang Bangun Aplikasi Real-Time Information Angkutan Kota dengan Location-based Service Menggunakan Metode Prototyping Maulana, Rachman Faiz; Wibisono, Yudi; Nugroho, Eddy Prasetyo
Digital Transformation Technology Vol. 6 No. 1 (2026): Periode Maret 2026
Publisher : Information Technology and Science(ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/digitech.v6i1.7362

Abstract

Penelitian ini dilatarbelakangi oleh menurunnya minat masyarakat dalam menggunakan angkutan kota di Kota Bandung, salah satunya disebabkan oleh tidak tersedianya informasi posisi angkot secara real-time yang membuat penumpang sulit memperkirakan waktu tunggu. Ketidakpastian ini berdampak pada rendahnya kenyamanan dan kepercayaan pengguna terhadap layanan angkutan kota. Untuk menjawab permasalahan tersebut, penelitian ini bertujuan merancang dan membangun aplikasi real-time information untuk angkutan kota berbasis Android dengan memanfaatkan teknologi Location-Based Service (LBS). Tujuan utama pengembangan adalah menyediakan informasi posisi angkot secara langsung, memudahkan navigasi penumpang, dan meningkatkan transparansi serta kualitas layanan. Metode Prototyping digunakan agar proses pengembangan dapat dilakukan secara iteratif melalui umpan balik pengguna hingga menghasilkan desain yang sesuai kebutuhan. Pengujian sistem menggunakan metode Black Box menunjukkan seluruh fitur berjalan sesuai dengan spesifikasi. Evaluasi usability dengan System Usability Scale (SUS) melibatkan 15 responden dan menghasilkan skor rata-rata 73,67 yang berada pada kategori Acceptable dan Grade C. Hasil ini menunjukkan bahwa aplikasi dapat diterima dengan baik, cukup mudah dipahami, dan layak digunakan oleh pengguna. Secara keseluruhan, penelitian ini berhasil menghasilkan prototipe aplikasi yang berfungsi sesuai tujuan serta berpotensi mendukung peningkatan kualitas layanan angkutan kota, meskipun masih terbuka peluang pengembangan lebih lanjut untuk penyempurnaan fitur dan pengalaman pengguna.
Visual Trend Analysis of E-Commerce Thumbnails Using Parallel Computing for Image Big Data Muhamad Tio Ariyanto; Haris Maulana; Muhammad Rifky Afandi; Eddy Prasetyo Nugroho
Komputika : Jurnal Sistem Komputer Vol. 15 No. 1 (2026): Komputika: Jurnal Sistem Komputer
Publisher : Computer Engineering Departement, Universitas Komputer Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34010/komputika.v15i1.19194

Abstract

The rapid growth of e-commerce platforms has led to the massive accumulation of product thumbnail images, making manual visual analysis inefficient and conventional sequential processing methods insufficient to handle such data volumes in a timely manner. Given the crucial role of thumbnails in influencing consumer purchasing decisions, computational strategies are required to accelerate the analysis process without compromising classification accuracy. This study applies a parallel computing approach combined with deep learning to improve the efficiency of visual trend analysis using two primary datasets: 2,608 images for model training and validation, and 40,254 images for large-scale inference. The proposed framework integrates parallel image preprocessing on multi-core CPUs, the development of a Convolutional Neural Network based on MobileNetV2 using a transfer learning approach, and batch-based parallel inference on GPUs. The developed model demonstrates stable and convergent performance, achieving a training accuracy of 0.85 and a validation accuracy of 0.83. Efficiency testing during the preprocessing stage shows that the parallel approach is more effective under large data workloads, providing a speed improvement of up to 1.58×. During the inference stage, predictions for 500 images can be completed in 1.84 seconds compared to 41.76 seconds using the sequential method, resulting in a significant computational speedup of 22.8×. Big data analysis reveals a polarization of visual strategies, where technology product categories are dominated by infographic-style thumbnails, fashion categories rely heavily on human model representations, and household product categories emphasize clean product visuals supported by promotional elements. This study concludes that the application of parallel computing significantly enhances the efficiency and scalability of visual big data analysis in e-commerce and supports more operational and strategic mapping of visual trends.
Pengembangan Sistem Monitoring Prestasi Mahasiswa Berbasis Data Management Framework Mia Karisma Haq; Rani Megasari; Eddy Prasetyo Nugroho
Jurnal Komputer Teknologi Informasi Sistem Komputer (JUKTISI) Vol. 4 No. 2 (2025): September 2025
Publisher : LKP KARYA PRIMA KURSUS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62712/juktisi.v4i2.485

Abstract

The issue of limited structured data has often hindered the role of academic advisors in effectively monitoring students’ participation and achievements. At Universitas Pendidikan Indonesia (UPI), student achievement data, both academic and non-academic, is still largely processed manually through forms or online messaging groups, which does not support comprehensive analysis. This study aims to develop a Student Achievement Monitoring System based on the Data Management Framework (DAMA-DMBOK) to ensure that data management is standardized, integrated, and supports data-driven decision-making. The research method includes data collection through literature studies, observation, and interviews; designing the data architecture; formulating key performance indicators (KPIs); developing data visualization and reporting features; and evaluating data management maturity using the Data Management Maturity Assessment (DMMA). The implementation results show that the system has successfully increased the maturity level of data management in key areas such as Data Modeling and Design, Data Storage and Operations, Data Integration & Interoperability, Metadata Management, and Business Intelligence, reaching the Optimizing level. With its analytical dashboard, reporting features, and dynamic data filters, the system supports academic advisors in monitoring student achievement more accurately, continuously, and in a well-documented manner. This study is expected to serve as a reference for developing more adaptive and integrated student achievement monitoring systems at the study program level in higher education institutions.
Integrasi YOLOv11 dan Intersection-Based Method Untuk Estimasi Karakteristik Parkir Berdasarkan Parking Lot Surveillance Video Muhammad Kamal Robbani; Yudi Wibisono; Eddy Prasetyo Nugroho
Jurnal Komputer Teknologi Informasi Sistem Komputer (JUKTISI) Vol. 4 No. 2 (2025): September 2025
Publisher : LKP KARYA PRIMA KURSUS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62712/juktisi.v4i2.502

Abstract

The rapid growth of vehicles without a corresponding increase in parking space availability has led to various issues such as traffic congestion, fuel waste, and excessive emissions. This study develops a computer vision-based parking analysis system using the YOLOv11 model to automatically detect vehicles in parking areas. The system integrates an intersection-based method and the BoT-SORT object tracking algorithm to classify parking spot availability. The classification results are then used to extract parking characteristic data. Video data were obtained from a publicly accessible livestream on YouTube in Kusatsu, Japan, and used for training and evaluating the model. The model achieved an mAP@50-95 of 0.926 under bright lighting conditions and 0.859 in low-light conditions. Additionally, estimation accuracy was evaluated using MAE and R² metrics, showing promising results, with MAE of 1.27 and R² of 0.989 during daytime, and MAE of 0.91 and R² of 0.91 at night.
Sistem Pendukung Keputusan Penerima Bantuan Zakat Menggunakan Random Forest dan Fuzzy Analytical Hierarchy Process Azka Naufal Nurrahman; Eddy Prasetyo Nugroho; Yudi Ahmad Hambali
Jurnal Komputer Teknologi Informasi Sistem Komputer (JUKTISI) Vol. 4 No. 2 (2025): September 2025
Publisher : LKP KARYA PRIMA KURSUS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62712/juktisi.v4i2.510

Abstract

Salah satu tantangan utama dalam penyaluran zakat adalah keterbatasan dana yang tersedia dibandingkan dengan jumlah pengajuan bantuan yang terus meningkat. Kondisi ini menyebabkan lembaga seperti BAZNAS harus melakukan seleksi secara ketat dan menentukan prioritas penerima bantuan secara adil. Dalam upaya menjawab permasalahan tersebut, penelitian ini mengembangkan Sistem Pendukung Keputusan (SPK) menggunakan kombinasi metode Random Forest dan Fuzzy Analytical Hierarchy Process (F-AHP). Metode Random Forest digunakan untuk melakukan klasifikasi kelayakan calon penerima zakat berdasarkan lima kriteria utama, yaitu pendapatan, jumlah tanggungan, status tempat tinggal, Riwayat penerimaan bantuan, dan nominal ajuan. Sementara itu, Fuzzy Analytical Hierarchy Process (F-AHP).digunakan untuk menentukan tingkat prioritas dari calon yang telah dinyatakan layak. Penelitian ini menggunakan data dari BAZNAS Kota Bandung, yang dikumpulkan melalui observasi, wawancara. Hasil evaluasi menunjukkan bahwa model Random Forest yang dibangun memiliki tingkat akurasi sebesar 88,98%, dengan precision dan recall masing-masing di atas 93%, menunjukkan performa klasifikasi yang tinggi. Selanjutnya Proses pembobotan Fuzzy Analytical Hierarchy Process (F-AHP) menghasilkan bobot dominan pada kriteria pendapatan sebesar 0,408, diikuti oleh status tempat tinggal dan jumlah tanggungan. Sistem ini berhasil membantu proses seleksi dan pemeringkatan calon penerima zakat secara objektif, efisien, dan transparan. Dengan pendekatan ini, diharapkan pengelola zakat dapat mengoptimalkan distribusi zakat sesuai dengan prioritas kepada mereka yang membutuhkan.
Predictive Classification Model dalam Tahapan Framework NIJ untuk Otomatisasi Investigasi Digital Forensik (Studi Kasus: Cyberbullying) Khana Yusdiana; Rizky Rahman J.P; Eddy Prasetyo Nugroho
Jurnal Komputer Teknologi Informasi Sistem Komputer (JUKTISI) Vol. 4 No. 2 (2025): September 2025
Publisher : LKP KARYA PRIMA KURSUS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62712/juktisi.v4i2.521

Abstract

This study aims to apply the National Institute of Justice framework in the digital forensic process for conversations retrieved from LINE and Telegram applications, as well as to explore the utilization of a Predictive Classification Model for automated text-based comment classification in cyberbullying cases. Cyberbullying is a growing form of digital crime, particularly on private and encrypted instant messaging platforms that are difficult to monitor. The research employs two machine learning algorithms within the PCM framework Complement Naive Bayes and Random Forest to detect potentially abusive comments. The forensic process follows several stages: Preparation, Evidence Assessment, Evidence Acquisition, Evidence Examination, and Documenting and Reporting, with a secure and forensically sound data extraction approach from both applications. Due to data limitations from LINE and Telegram, the classification analysis is conducted using an Instagram comment dataset that reflects the cyberbullying context. Evaluation results show that the Complement Naive Bayes model outperforms Random Forest, achieving an accuracy of 86% with balanced F1-scores, while Random Forest achieves 75% accuracy. These findings support the use of PCM as an effective aid for automatically identifying high-risk content on social media. The integration of digital forensics and artificial intelligence has significant potential to enhance the effectiveness of cyberbullying investigations. Keywords: Cyberbullying, Predictive Classification Model, Complement Naive Bayes, Random Forest, LINE, Telegram, Digital Forensics, National Institute of Justice
Co-Authors Al Fathin, Deva Shofa Al Husaeni, Dwi Novia Amadudin, Muhammad Nur Yasin Anisyah , Ani Anisyah, Ani Arif Zuhud R Asep Wahyudin Azka Naufal Nurrahman Bisulthon, Ibrahim Danial Caesar Firdaus Dr Munir Eggy Ryana Agustian Enjang Ali Nurdin Enjun Junaeti Fathimah, Nusuki Syari’ati Haris Maulana Havid, Sabian Annaya Hidayat, Kurniawan Imam Wiyanto Irawan Afrianto Jundurrahmaan, Irham Kesuma, M Salman Khana Yusdiana Kusnendar, Jajang Mahkota, Fachri Veryawan Mamat Rahmatullah Maulana, Rachman Faiz megasari, Rani Megasari Mia Karisma Haq Muhamad Tio Ariyanto Muhammad Adnan Khairi A.S. Muhammad Kamal Robbani Muhammad Rifky Afandi Nuris, Nuris Nurkhofifah, Eva Nursalman, Muhammad Panji Nugroho Piantari, Erna Rachman, Irfan Haydar Ramadhani, Muhammad Satria Rani Megasari Rini Nuraini Sukmana Rizky Rachman J. Rizky Rachman Judiputra Rizky Rahman J.P Robbani, Zuhal Siregar, Herbert Suryoatmojo, Jason Rafif Pangestu Turnip, Franklin Umar Syahid Aulia Rahman Wahyudin Wahyudin Waslaluddin MT Wibisono, Yudi Yosafat Yudha, Apri Anggara Yudi Ahmad Hambali