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All Journal EDUNOMIC : JURNAL ILMIAH PENDIDIKAN EKONOMI FAKULTAS KEGURUAN DAN ILMU PENDIDIKAN Jurnal Informatika dan Teknik Elektro Terapan Infotech Journal InfoTekJar : Jurnal Nasional Informatika dan Teknologi Jaringan Jurnal Teknik Komputer AMIK BSI Bina Insani ICT Journal Informatics for Educators and Professional : Journal of Informatics IndoMath: Indonesia Mathematics Education JITK (Jurnal Ilmu Pengetahuan dan Komputer) KOPERTIP: Jurnal Ilmiah Manajemen Informatika dan Komputer JURNAL TEKNOLOGI DAN OPEN SOURCE JURIKOM (Jurnal Riset Komputer) Jurnal ICT : Information Communication & Technology Building of Informatics, Technology and Science Infotekmesin JATI (Jurnal Mahasiswa Teknik Informatika) Respati Media Informatika Journal of Computer System and Informatics (JoSYC) Jurnal Sains Teknologi Transportasi Maritim Jurnal Sistem Komputer dan Informatika (JSON) Madani : Indonesian Journal of Civil Society MEANS (Media Informasi Analisa dan Sistem) Jurnal Teknologi Informasi dan Komunikasi Innovation in Research of Informatics (INNOVATICS) Jurnal Teknik Informatika (JUTIF) Jurnal Digit : Digital of Information Technology Mosharafa: Jurnal Pendidikan Matematika JUSTIN (Jurnal Sistem dan Teknologi Informasi) Jupiter Journal of Computer & Information Technology Journal of Artificial Intelligence and Engineering Applications (JAIEA) Jurnal Informatika dan Teknologi Informasi BULLET : Jurnal Multidisiplin Ilmu AMMA : Jurnal Pengabdian Masyarakat Jurnal Sistem Informasi dan Manajemen Jurnal Accounting Information System (AIMS) INTERNAL (Information System Journal) Smatika Jurnal : STIKI Informatika Jurnal

Odi Nurdiawan

STMIK IKMI Cirebon

Author-ID : 3170849

Humanities Automotive Engineering Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Nursing Social Sciences Transportation Other

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Implementasi Dan Analisis Perbandingan Algoritma ID3 Dan C4.5 Dalam Pengukuran Kepuasan Konsumen Kaslani; Nurdiawan, Odi; Muhalim, Alvy
BULLET : Jurnal Multidisiplin Ilmu Vol. 3 No. 1 (2024): BULLET : Jurnal Multidisiplin Ilmu
Publisher : CV. Multi Kreasi Media

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

− Excellent service in order to achieve the goal, to achieve this it is necessary to improve services to these consumers, because these services are still not measured effectively and the services are still not using a method, to assess the services provided to consumers. The main purpose of the consumer satisfaction survey is to calculate customer satisfaction on CV. Bintang Terang Sejahtera by providing questionnaires that have been filled out by consumers, this is to improve and measure the extent of consumer satisfaction. The results of the accuracy of the ID3 algorithm obtained are 99.13% with details, namely Prediction Results Satisfied and Turns True Satisfied with 164 Data, Prediction Results Satisfied and turns True Dissatisfied with 2 Data, Prediction Results Dissatisfied and Turns True Satisfied with 0 Data, Prediction results are not satisfied and it turns out to be true, dissatisfied with 63 data. The results of the accuracy of the algorithm obtained are 95.63% with details, namely the Prediction Results Satisfied and it turns out True Satisfied with 160 Data, Prediction Results Satisfied and turns out to be True Dissatisfied with 6 Data, Predictions Results Dissatisfied and turns True Satisfied with 4 Data, Results Prediction is not satisfied and turns out to be true, dissatisfied with 59 data. comparison of the results of the algorithm, it can be seen from the table that the ID3 algorithm is 99.13% and the Decision Tree Algorithm is 95.63%, meaning that the ID algorithm is better than the decision tree algorithm.

PENERAPAN ALGORITMA RANDOM FOREST DAN DECISION TREE UNTUK MENINGKATKAN AKURASI KLASIFIKASI PENJUALAN PADA TOKO BANGUNAN Riansah, Adam; Nurdiawan, Odi; Herdiana, Ruli
JATI (Jurnal Mahasiswa Teknik Informatika) Vol. 9 No. 3 (2025): JATI Vol. 9 No. 3
Publisher : Institut Teknologi Nasional Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36040/jati.v9i3.13622

Perkembangan teknologi machine learning memberikan peluang bagi sektor ritel untuk memanfaatkan data penjualan dalam pengambilan keputusan berbasis data. Penelitian ini bertujuan untuk membandingkan kinerja algoritma Random Forest dan Decision Tree dalam memprediksi tren penjualan di toko bangunan TB. Buah Hati. Analisis ini diharapkan dapat memberikan rekomendasi algoritma yang lebih efektif dalam membantu perencanaan strategi pemasaran dan pengelolaan stok. Metode penelitian mengikuti tahapan dalam Knowledge Discovery in Databases (KDD), dimulai dengan pengumpulan data penjualan dari TB. Buah Hati. Data kemudian diproses melalui preprocessing yang mencakup pembersihan data, normalisasi, dan seleksi fitur. Selanjutnya, algoritma Random Forest dan Decision Tree diterapkan pada data yang dibagi menjadi training dan testing set. Kinerja model dievaluasi menggunakan metrik akurasi, precision, recall, dan F1-score. Hasil penelitian menunjukkan bahwa algoritma Random Forest lebih baik dengan akurasi 85%, dibandingkan Decision Tree yang memperoleh 84%. Perbedaan ini menunjukkan bahwa Random Forest lebih efektif dalam mengatasi ketidakseimbangan data dan memberikan prediksi yang lebih konsisten. Kesimpulannya, algoritma Random Forest lebih akurat dan stabil, yang dapat mendukung pengambilan keputusan lebih efektif di sektor ritel. Penelitian ini juga membuka peluang untuk penelitian lebih lanjut dengan algoritma lain atau menambah variabel yang mempengaruhi tren penjualan.

Penerapan Algoritma Support Vector Machine dalam Mengukur Kepuasan Pembelajaran Hybrid Learning Nurdiawan, Odi; Herdiana, Ruli; Anwar, Saeful
MEANS (Media Informasi Analisa dan Sistem) Volume 6 Nomor 2
Publisher : LPPM UNIKA Santo Thomas Medan

pembelajaran hybrid learnig di perguruan tinggi STMIK IKMI Cirebon mengukur tingkat kepuasan dengan mengkolaborasikan teori support vector machine. Penelitian ini dibagi menjadi 3 (tiga) tahapan. Tahap 1 (Satu) menentukan kriteria standar mutu pendidikan yang mengacu pada pedoman pendidikan. Kemudian membuat literatur review pustaka dan melakukan analisa data primer Tahap 2 (Dua) melakuan desain modelling dengan mengelolan data primer yang mengacu pada standar pendidikan jarak jauh dan preprocessing guna meminimalisir noise pada data primer kemudian memodelkan Support Vector Machine dengan PSO Tahap 3 (Tiga) Analysis and Result membahas hasil penentuan kepuasan mahasiswa terhadap pembelajaran hybrid learning. hasil akurasi tidak puas ternyata true tidak puas sebanyak 236 data, hasil akurasi tidak puas ternyata true puas sebanyak 10 data, hasil akurasi puas ternyata true tidak puas sebanyak 0 data, dan hasil prediksi puas dan ternyata true puas sebanyak 105 data

Augmented Reality Dalam Mendeteksi Produk Rotan Menggunakan Metode Multimedia Development Life Cycle (MDLC) Dikananda, Arif Rinaldi; Nurdiawan , Odi; Subandi, Husein
MEANS (Media Informasi Analisa dan Sistem) Volume 6 Nomor 2
Publisher : LPPM UNIKA Santo Thomas Medan

The furniture business has developed quite well every year, but the promotions used by the company still use the usual methods, such as using brochures that only display 2D information and images. With so much competition, consumers want something unique and different so they can find out more detailed and real product information offered. Augmented reality is the right technology to meet these consumer needs. Augmented reality is a technology that combines the virtual world with the real world directly. Therefore, an application was designed that functions as a company profile as well as displays 3D rattan chair products using Augmented reality technology on android devices. The method used in this research is the Multimedia Development Life Cycle (MDLC) which includes Concept, Design, Material Collecting, Assembly, Testing, and Distribution. This Augmented reality application requires streaming video taken from a smartphone camera as an input source, then this application will track and detect markers using a tracking system, after the marker is detected, the 3D chair model in the catalog will appear above the marker as if it were a chair model. it's real. the results of the hypothesis test with a significant level of 0.139, which is greater than 0.05, then what is accepted is H1. It can be stated that an augmented reality-based electronic catalog application can increase buying interest in potential consumers of Raffi cushion rotan

Optimalisasi Menggunakan Access Control List Berbasis Mikrotik pada Amami Event Organizer Amar, Mohammad Rosihin; Anwar, Saeful; Nurdiawan, Odi
MEANS (Media Informasi Analisa dan Sistem) Volume 7 Nomor 1
Publisher : LPPM UNIKA Santo Thomas Medan

Technological developments can be used as a medium for disseminating information in order to market products and services. One of them is Amami event organizer, which is a company engaged in services for exhibition events. The company, which is located in the city of Cirebon, has utilized internet services as part of a campaign in their business marketing strategy. The use of the internet network itself cannot be separated from the existence of a problem, and one of them is regarding the quality of the existing network at the Amami event organizer. where there is no bandwidth management that regulates the distribution of bandwidth evenly which includes downloads and uploads, bandwidth management itself is a method for managing bandwidth limits given to a data traffic. Not only the problem of bandwidth management, another problem that the management of Amami event organizers complains about is the lack of control of internet network users in accessing certain websites so that it can interfere with work productivity and smooth use of the internet network. The solution to the problem that is carried out to overcome the problem of bandwidth management is the hotspot user method. Which users will be classified into several groups with the aim of managing bandwidth based on user logins. For user control problems, a filtering address list is used through the firewall features in Mikrotik to filter out which sites cannot be accessed by the user. This study analyzes the quality of internet network services after using the hotspot user method and using the filtering address list method. To measure the quality of the internet network, measurements are used using Quality of Service (QoS) such as throughput, jitter, packet loss, and delay. To measure QoS, a wireshark tool is needed which the tool can capture traffic. From the optimization results obtained quite good results, namely the measurement results can be seen from testing through stable QoS throughput > 1000 kbps, packet loss to 0% maximum at 2%, delay < 300 ms, and the highest Jitter at 2297 ms while the lowest at 0.001 Ms. Therefore, the thing that needs to be done by the Amami event organizer is to do bandwidth management to regulate the distribution of bandwidth for each user. As well as restricting user site access to a certain website

Hybrid Model for Speech Emotion Recognition using Mel-Frequency Cepstral Coefficients and Machine Learning Algorithms Nurdiawan, Odi; Ade Kurnia, Dian; Sudrajat, Dadang; Pratama, Irfan
Jurnal Teknik Informatika (Jutif) Vol. 6 No. 5 (2025): JUTIF Volume 6, Number 5, Oktober 2025
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2025.6.5.5143

Speech Emotion Recognition (SER) is a subfield of affective computing that focuses on identifying human emotions through voice signals. Accurate emotion classification is essential for developing intelligent systems capable of interacting naturally with users. However, challenges such as background noise, overlapping emotional features, and speaker variability often reduce model performance. This study aims to develop a lightweight hybrid SER model by combining Mel-Frequency Cepstral Coefficients (MFCC) as feature representations with three machine learning algorithms: Support Vector Machine (SVM), Decision Tree (DT), and K-Nearest Neighbors (KNN). The methodology involves audio data preprocessing, MFCC-based feature extraction, and classification using the selected algorithms. The RAVDESS dataset, consisting of 1,440 English-language audio samples across four emotions (happy, angry, sad, neutral), was used with an 80/20 train-test split to ensure class balance.. Experimental results show that the KNN model achieved the highest performance, with an accuracy of 78.26%, precision of 85.09%, recall of 78.26%, and F1-score of 77.06%. The Decision Tree model produced comparable results, while the SVM model performed poorly across all metrics. These findings demonstrate that the proposed hybrid approach is effective for recognizing emotions in speech and offers a computationally efficient alternative to deep learning models. The integration of MFCC features with multiple machine learning classifiers provides a robust framework for real-time emotion recognition applications, especially in environments with limited computing resources.

Enhanced U-Net Cnn For Multi-Class Segmentation And Classification Of Rice Leaf Diseases In Indonesian Rice Fields Faturrohman, Faturrohman; Nurdiawan, Odi; Prihartono, Willy; Herdiana, Rully
Jurnal Teknik Informatika (Jutif) Vol. 6 No. 5 (2025): JUTIF Volume 6, Number 5, Oktober 2025
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2025.6.5.5258

Rice is a strategic food crop whose productivity is often threatened by leaf diseases and pests. This study aims to develop an Enhanced U-Net CNN model for multi-class segmentation and classification of rice leaf conditions from field images to support early detection and plant health management. The methodology includes direct field image acquisition of rice leaves, preprocessing for image quality enhancement, expert data labeling, segmentation using a U-Net architecture, and classification using CNN. The dataset was divided into training and testing data with balanced distribution across four classes: Healthy, BrownSpot, Hispa, and LeafBlast. Evaluation results show that the model can identify rice leaf conditions with high accuracy, although signs of overfitting were observed from the performance gap between training and validation data. The implementation of this model is expected to accelerate automatic disease detection in the field, reduce reliance on manual inspection, and support precision agriculture. This study achieved a testing accuracy of 76.36% with a macro-average F1-score of 0.34. While the results indicate limitations in generalization, the proposed Enhanced U-Net CNN demonstrates the feasibility of combining segmentation and classification in field conditions. This research contributes to agricultural informatics by supporting scalable deployment in precision agriculture systems, reducing reliance on manual inspection, and providing a foundation for further optimization studies.

Real-Time Face Attendance System Using CNN Mobilenet and MTCNN Amri, Hajijin; Nurdiawan, Odi; Rinaldi Dikanda, Arif
JURNAL TEKNOLOGI DAN OPEN SOURCE Vol. 8 No. 1 (2025): Jurnal Teknologi dan Open Source, June 2025
Publisher : Universitas Islam Kuantan Singingi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36378/jtos.v8i1.4403

This research presents the development of a real-time attendance system utilizing facial recognition, which incorporates three main components: the MobileNet Convolutional Neural Network (CNN) for classification, Multi-task Cascaded Convolutional Networks (MTCNN) for face detection, and Contrast Limited Adaptive Histogram Equalization (CLAHE) for image preprocessing. The model was trained on a curated subset of the Labeled Faces in the Wild (LFW) dataset, containing 20 categories with 50 images each, and evaluated using a locally captured dataset. Training was conducted on Google Colab using a pre-trained MobileNet model that was fine-tuned with 800 images, while 200 images were used for validation. System performance was assessed through several metrics, including accuracy, precision, recall, F1-score, and a confusion matrix. The model achieved a validation accuracy of 86% and an average F1-score of 0.85, reflecting high classification accuracy. To enhance usability, the system was implemented within a Python-based graphical user interface (GUI), which automates attendance tracking and records data directly into Excel spreadsheets. This study highlights the potential of integrating lightweight CNN architectures with effective preprocessing techniques and real-time GUI applications to create a reliable, efficient, and practical biometric attendance system

Pengembangan Media pembelajaran Multimedia Interaktif Alat Masak Tradisional Berbasis Etnomatematika Faqih, Ahmad; Nurdiawan, Odi; Setiawan, Andi
Mosharafa: Jurnal Pendidikan Matematika Vol. 10 No. 2 (2021): Mei
Publisher : Department of Mathematics Education Program IPI Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31980/mosharafa.v10i2.663

Anggapan mempelajari budaya merupakan hal yang membosankan dan tidak berguna perlu diperbaiki. Menciptakan kombinasi kebudayaan dengan pembelajaran, khususnya pada pelajaran yang dianggap sulit serta membosankan, seperti matematika dapat menjadi solusi. Etnomatematika merupakan salah satu jembatan antara matematika dan kebudayaan. Penelitian ini bertujuan mengembangkan media pembelajaran multimedia interaktif berbasis etnomatematika pada materi bangun datar dan bangun ruang dengan pendekatan four-D model. Metode penelitian yang digunakan adalah eksperimental dengan pendekatan four-D model, terdiri dari tahap define, design, develop, dan desseminate. Subjek penelitian yaitu siswa kelas 5 SD Negeri Gamel. Berdasarkan proses dan hasil penelitian pengembangan dapat diketahui proses produksi bahan ajar dilakukan dalam rangka mengembangkan bahan ajar matematika untuk siswa sekolah dasar dengan materi bangun datar dan ruang. Deskripsi hasil validasi pada tahap pengembangan dan validasi ahli isi atau materi menunjukkan bahwa hasil validasi dari ahli media dalam kategori valid. Bahan ajar layak digunakan dalam pembelajaran. The notion that studying culture is boring and useless needs to be corrected. Creating a cultural combination with learning, especially in subjects that are considered difficult and boring, such as mathematics can be a solution. Ethnomatematics is one of the bridges between mathematics and culture. This study aims to develop interactive multimedia learning media based on ethno-mathematics on plane and solid figure using the four-D model approach. The research method used experimental with a four-D model approach, namely the stages of define, design, develop, and Desseminate. The research subjects were students in grade 5 at SD Negeri Gamel. Based on the process and the results of development research, it can be seen that the production process of teaching materials is carried out in order to develop mathematics teaching materials for elementary school students with flat and room building materials. The description of the validation results at the development stage and the content or material expert validation shows that the validation results from the media experts are in the valid category and worth it to use.

Peningkatan Pemahaman Akuntansi Dengan Menggunakan Software Zahir Pratama, Fidya Arie; Nurdiawan, Odi
Edunomic : Jurnal Ilmiah Pendidikan Ekonomi Fakultas Keguruan dan Ilmu Pendidikan Vol 7 No 2 (2019): EDISI SEPTEMBER
Publisher : FKIP Unswagati

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33603/ejpe.v7i2.2551

STMIK IKMI have a student academic test when the students enter to STMIK IKMI, the result of the test is low. Low in this case will explains by categories the students get D 25% C 37% B 0% and all the students can not get A. The research uses kuasi eksperiments method with time series design that collaborate classroom action research. The result of research shows about pre test 1 until 4, the score of pre test 1 about 54,129, the score of pre test 2 about 55,548, the score of pre test 3 about 56,032, the score of pre test 4 about 56,097. Based on Kruskall Walls Test shows Asymp Sig score about 0,986 it means there is no significance differences between student perception for the first time and students understanding the materials. In second part of research the students learn accounting that use zahir accounting software for 6 meetings. In third part of research the students has a post test for 4 meetings and the results are the score of post test 1 62,6456, the results are the score of post test 2 70,065, the results are the score of post test 3 80,032, the results are the score of post test 4 86,742. The research analyze statistic test focus on pre test and post test by Kruskall Wall Test that shows Asymp Sig score about 0,000 it means there is a differences between the result of pre test and post test. This reality shows accounting learning by Zahir software gives the positive effect for improving (upgrading) student understanding about accounting.

Co-Authors Abdul Rauf Chaerudin Abdul Robi Padri abdullah, nur syarief Ade Irma Purnamasari Ade Irma Purnamasari Ade Irma Purnamasari Ade Kurnia, Dian Ade Rizki Rinaldi Adisty Tri Putra Agis Maulana Robani Agung Nugraha Agus Surip Ahmad Faqih Ahmad Faqih Ahmad Faqih Ahmad Faqih Ahmad Zam Zami Aini, NoviFirda Ainnur Rahman, Rizal Amar, Mohammad Rosihin Amarda, Juan Amri, Hajijin Ananda Rafly Andi Setiawan Andi Setiawan Anwar Musaddad Aria Pratama Arif Fitriyanto, Goffar Arif Rinaldi Dikananda Asyraful Hijrah, Ahmad baihaqqi, Farisky Bambang Irawan Basysyar, Fadhil Muhammad Basysyar, Muhammad Fadhil Cep Lukman Rohmat Cep Lukman Rohmat Cep Lukman Rohmat Dadang Sudrajat Deasiva, Imanda Dewanty Rafu, Maria Dias Bayu Saputra Dikananda, Arif Rinaldi Dilla Eka Lusiana Diniarti, Indah Dita Rizki Amalia Dodi Solihudin Dwi Teguh Afandi Edi Tohidi Edi Wahyudin Eko Wiyandi ETI KURNIAWATI Ezar Qotrunnada Fadhil M. Basysyar Fadrin Helmi FANDI ACHMAD Fathurrohman, Fathurrohman Faturrohman, Faturrohman Fauzi Fauzi Febriansyah, Feggy Fidya Arie Pratama Fidya Arie Pratama Firmansyah Firmansyah Fitriyani, Nur Sifa Gifthera Dwilestari Haidar Fakhri Hanafi, Muhammad Salman Hayati, Umi Heliyanti Susana Herdiana, Ruli Herdiana, Rully Heriyawan, Ikhsan Himawan, Irvan Hira Wahyuni Azizah Ibnu Ubaedila Irfan Ali Irfan Ali Irfan Ali, Irfan Irma Purnamasari, Ade Irvandi Irvandi IRVANDI, IRVANDI Jaelani Sidik Jamalul'ain, Abdul Jayawarsa, A.A. Ketut Julia Eka Yanti Juliadi, Diky Karlina, Lita Kaslani Khamim Surya Hadi Kusuma Al Atros Khoirul Insan, Moh Khoirul Kurnia, Dian Ade Kurniawan Fajar Abdulloh Laturrizqi, Washi Lukmanul Hakim M. Basyisyar, Fadhil M. Iqbal Fadhilah, Aji Mamluah, Karimatul Mariyani, Dinda Martanto . Mauludin, Muhammad Rifqi Medina Aprilia Putri Melia Melia Melia Melia Melisa Hikari Mia Fijriani Muchamad Sobri Sungkar, Muchamad Sobri Muhalim, Alvy Mulyana Mulyana Mulyawan Mulyawan Musliyadi, Mar'i Nana Suarna Nana Suarna Nana Suarna Nanda Permatasari Nining Rahaningsih Nining Rahaninsih Noval Salim Nur Atikah Nurcholis, Rifki Nurdiawan, Rudi Nurhadiansyah Nurhadiansyah Nurhadiansyah, Nurhadiansyah Nurhakim, Bani Nurrohmat, Iman Pratama, Denni Pratama, Fidya Arie Pratama, Irfan Pratiwi, Fitriyani Prihartono, Willy Purnamasari, Ade Irma Putra, Aris Pratama Putri, Haidah R, Nining Riansah, Adam Rinaldi Dikananda, Arif Rinaldi Dikanda, Arif Riyan Suryatana Riyan, Ade Bani Rizki Rinaldi, Ade Rizki, Dicky Miftakhul Rohmat, Cep Lukman Rokhmatan Khaerullah, Rizal Rudi Hartono Rudi Kurniawan Rudi Kurniawan Ruli Herdiana Ruli Herdiana Rully Pramudita Saeful Anwar Saeful Anwar Saeful Anwar, Saeful Saepul Hadi Salsa Billa Agistina Seputra, Nenda Alfadil Suarna, Nana Subandi, Husein Suripno Susana, Heliyanti Syafi'i, Syafi'i Tati Suprapti Taufik Hidayat Tengku Riza Zarzani N Tio Prasetiya Tio Prasetya TOMAS TOMAS Topan Hadi Tuti Hartati Tuti Hartati Wiyandi, Eko Yudhistira Arie Wijaya Yunus, Shofian Zeya Sebastian, Muhammad

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