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All Journal Infotech Journal InfoTekJar (Jurnal Nasional Informatika dan Teknologi Jaringan) Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Jurnal Teknik Komputer AMIK BSI Bina Insani ICT Journal Informatics for Educators and Professional : Journal of Informatics IndoMath: Indonesia Mathematics Education KOPERTIP: Jurnal Ilmiah Manajemen Informatika dan Komputer JURIKOM (Jurnal Riset Komputer) Jurnal ICT : Information Communication & Technology Building of Informatics, Technology and Science Infotekmesin Respati 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 Jurnal Digit : Digital of Information Technology Mosharafa: Jurnal Pendidikan Matematika JUSTIN (Jurnal Sistem dan Teknologi Informasi) Jupiter Journal of Computer & Information Technology Experimental Student Experiences AMMA : Jurnal Pengabdian Masyarakat Jurnal Accounting Information System (AIMS) INTERNAL (Information System Journal)
Odi Nurdiawan
STMIK IKMI Cirebon
Arts Humanities 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 Nursing Social Sciences Transportation Other

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Estimasi Kemampuan Computational Thingking Pemain Game Dota Dua Menggunakan Teknik Machine Learning Arif Rinaldi Dikananda; Odi Nurdiawan; Ahmad Faqih; Agus Surip; Dias Bayu Saputra
JURIKOM (Jurnal Riset Komputer) Vol 9, No 5 (2022): Oktober 2022
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/jurikom.v9i5.5025

Abstract

Computational thinking is a way of analytic thinking, a general mathematical thinking approach that may be used in solving a problem, a general engineering thinking approach that allows designing and evaluating large and complex systems that exist in the real world, as well as a general scientific thinking approach in understanding computing ability, intelligence, human mind and behavior. With the existence of online games at a time like today, there is a tendency for many students to play online games because it has its own challenges, many of them even spend a lot of money and even forget the time to play online games. there is an urgency to the level of computational thinking of dota two players, so it is necessary to estimate using machine learning techniques to determine the level of computational thinking of dota two game players. The results of this study provide information that in Estimating the Computational Thinking Ability of Dota Dua Game Players Using Machine Learning Techniques using attribute 6 and rapidminer tools version 10 with operators to be used, including retrieval dataset, role set, correlation matrix, selected by weighted, split data, linear regression, apply model and performance. Produces an error accuracy rate in this study, namely, root mean squered error 0.383 +/- 0.000 Squared error 0.146 +/- 0.016 Squared Correlation 1.000, then this value is the best value from several test results. So it can be estimated as follows that the results of the Computational Thinking Ability are good as much as 36 while the Computational Thinking Ability is sufficient as much as 47
Implementation of Data Mining to Predict Graduation of SMK Al Huda Kedungwungu Students Using the Naïve Bayes Classifier Algorithm Putriyana Putriyana; Odi Nurdiawan
Experimental Student Experiences Vol. 1 No. 4 (2023): April
Publisher : LPPM Sunan Doe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58330/ese.v1i4.202

Abstract

The purpose of prediction is to become decision makers and make policies. Understanding the uncertainties and risks that may arise can be considered when making plans. By making these predictions, planners and decision makers will be able to consider other alternatives, so they can take advantage of student graduation data. The algorithm that will be used is the Naive Bayes Classifier Algorithm which is a simple probability classification method based on the application of Bayes' theorem with the assumption that explanatory variables are independent, clues and supporting data in predicting student graduation, namely student behavior, school exams, grades. In practice, the application of the Naive Bayes method applies data train to produce the probability of each criterion for different classes, so that the probability value of these criteria can be optimized to determine predictions of student graduation quickly and efficiently based on the classification carried out using the Naive Bayes method, then from the results of testing with the Naive Bayes method the results obtained an accuracy value of 76 .25%, so this result has very good accuracy. That way this method can be applied in predicting student graduation.
NAIVE BAYES DAN WORDCLOUD UNTUK ANALISIS SENTIMEN WISATA HALAL PULAU LOMBOK Irvandi; Bambang Irawan; Odi Nurdiawan
INFOTECH journal Vol. 9 No. 1 (2023)
Publisher : Universitas Majalengka

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31949/infotech.v9i1.5322

Abstract

Lombok merupakan salah satu destinasi wisata halal di Indonesia dan sudah diakui dunia. Untuk membuktikan asumsi tersebut berdasarkan sumber dari opini wisatawan, maka perlu dilakukan analisis sentimen apakah keberadaannya sesuai dengan yang diharapkan. Google Maps merupakan salah satu platform yang dapat menunjukkan lokasi pulau Lombok beserta ulasan tertulis dari wisatawan yang pernah berkunjung. Pengumpulan data ulasan dilakukan melalui teknik Web Scraping pada Google Maps Review, kemudian data diolah menggunakan RapidMiner dengan algoritma Naive Bayes. Visualisasi Wordcloud juga ditampilkan untuk memunculkan kata-kata yang sering diutarakan wisatawan. Text preprocessing yang dilakukan meliputi tokenize, filter token by length, transform case, stopword, dan stemming. Dari hasil pengujian model algoritma Naive Bayes didapatkan tingkat akurasi sebesar 74,75%. Visualisasi Wordcloud juga menemukan kata terbanyak teratas antara lain "indah", "wisata". “pantai”, “alam”, “gunung”, dan “masjid”.
PKM E-Commerce Pengrajin UMKM Batik Desa Trusmi Odi Nurdiawan; Ahmad Faqih; Ade Irma Purnamasari; Salsa Billa Agistina; Nanda Permatasari
AMMA : Jurnal Pengabdian Masyarakat Vol. 1 No. 10 (2022): AMMA : Jurnal Pengabdian Masyarakat
Publisher : CV. Multi Kreasi Media

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Abstract

The development of information technology has also changed the views of information technology activists to create breakthroughs in the business sector and promotions to increase competitiveness in developing business. Breakthroughs in the business world, especially the buying and selling business, have led to the use of mobile phones. The use of mobile phones has changed its function to become a multifunctional device for running various kinds of mobile applications, both media for accessing and processing information. Marketplace is an electronic market (virtual market) where the market is a meeting place for buyers and sellers to carry out transactions. Marketplaces are in principle and function the same as traditional markets, only if this marketplace is computerized and connected to the internet. Marketplace or electronic market that brings together sellers and buyers who are connected through electronic transactions that can be accessed quickly, safely, and can be done anywhere and at any time [1] [5] Problems in Community Service The marketing and sales system in craftsmen is still manually, namely the batik craftsman gives the results to the collector (showroom), the showroom or shop owner will resell it at a high price, for example the batik craftsman working on written batik cloth with a Mega Mendung motif is priced at IDR 250,000 by the showroom, then the showroom owner resells the batik cloth at a price a fantastic Rp. 500,000. The urgency of Community Service is how to shorten the distribution of sales of batik craftsmen's products using dodolan application technology. The purpose of the "Dodolan" application is a place for marketing and selling products made by batik craftsmen in Trusmi village, Cirebon district, which is made in the form of an Android-based application. The presence of the Dodolan Application is an effort to realize the attention of batik craftsmen in terms of marketing and sales. In achieving the goal of Community Service, we use the Agile Software Development Cycle with the Extreme Programming (XP) method. The Community Service Stage consists of 5 stages, namely: 1. Meeting Stage, namely brainstorming with users about plans to create a system; 2. Planning stage, namely making Iterations Schedule and Milestones; 3. Design stage, namely making UX-UI Design; 4. Development and Testing stage carried out by the programmer; and 5. Evaluation stage which consists of testing by users, patching by programmers, and project documentation.
Pemanfaatan Sistem Informasi Layanan Berbasis Digital Desa Sinarancang Odi Nurdiawan; Ahmad Faqih; Ade Irma Purnamasari; Adisty Tri Putra; Kurniawan Fajar Abdulloh
AMMA : Jurnal Pengabdian Masyarakat Vol. 2 No. 8 : September (2023): AMMA : Jurnal Pengabdian Masyarakat
Publisher : CV. Multi Kreasi Media

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Abstract

Utilization of Digital-Based Service Information Systems has become a major concern in efforts to improve service quality and progress in various rural areas. Sinarancang Village, as an example of a village facing various challenges in terms of access to information and services, has taken bold steps to adopt a digital-based information system as the main tool to overcome this problem. This Community Service explains how Sinarancang Village has integrated information technology into their services with the aim of increasing efficiency and accessibility. Community Service is an initiative that has been taken by the village government, community, and local partners in developing an inclusive information technology infrastructure. In addition, the success of Community Service has been achieved through the use of digital-based information systems in increasing access to health, education and village administration services. By combining a participatory approach and community education, Sinarancang Village has succeeded in creating an environment that supports the adaptation of information technology at the community level. The results of implementing this digital-based service information system show great potential for improving the quality of life of rural communities, promoting inclusivity, and encouraging economic growth in rural areas, one of which was initiated by the Anti Galau Sinarancang tourism village.
Penerapan Data Mining Menggunakan Metode Clustering Untuk Mengetahui Kelompok Kepatuhan Wajib Pajak Bumi dan Bangunan Medina Aprilia Putri; Nining Rahaningsih; Fadhil M. Basysyar; Odi Nurdiawan
Jurnal Accounting Information System (AIMS) Vol. 5 No. 2 (2022)
Publisher : Ma'soem University

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Abstract

Local taxes are taxes set by local governments whose collection authority and tax proceeds are used to fund regional expenditures. One of the taxes included in the authority of local governments is the Land and Building Tax (PBB). Land and Building Tax is one of the taxes that can be paid through the village government. With the increasing number of taxpayers in the village, the data on payment of tax contributions that go directly to the state treasury causes the Kendal Village government, Astanajapura District, Cirebon Regency not to know how many taxpayers are obedient and disobedient. This study uses data mining techniques namely the Clustering Method using the K-Means method. This study uses the Knowledge Discovery in Database (KDD) stage with the amount of data used as much as 1,159 in the form of taxpayer data for the Kendal Village community in 2021. The results of the RapidMiner test using the Davies Bouldin Index calculation obtained a cluster determination value with a value of 4 (0.862). Cluster 0 contains members who have a low level of compliance in paying PBB, Cluster 1 contains members of taxpayers with a moderate level of compliance in paying PBB, Cluster 2 has a high level of taxpayer compliance and Cluster 3 is a cluster with a very high level of taxpayer compliance. By having the most dominant average price determined by PBB in each cluster is Rp. 18.000,-.
Sistem Informasi Reservasi Kamar Hotel Snukel Menggunakan Metode Analisis System Usability Scale Melisa Hikari; Nana Suarna; Odi Nurdiawan
Jurnal Accounting Information System (AIMS) Vol. 6 No. 1 (2023)
Publisher : Ma'soem University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32627/aims.v6i1.700

Abstract

Web-Based Snukel Hotel Reservation Information System, is an information system that focuses on reservation data entered by the receptionist relating to reservations in the hotel's business transactions. In the previous system, data was entered manually using MS.Excel. The risk that is owned is management that is less effective and efficient. The purpose of building this system is to help manage reservation data to be more effective and efficient, make it easier to enter reservation data and help manage data. So that transactions are recorded and stored properly. The system design is made using the system development life cycle (SDLC) approach with the Waterfall design method, the stages include system requirements analysis, system design, system implementation, system testing and system maintenance. Hotel guest reservation system, using PHP programming language MySql. The results of this study are systems that have been tested with a black box, the results of the black box test state that the system is running well and as expected. System analysis uses the SUS method so that it gets a score or accuracy of 77.33 which means that the system is feasible and well received by the user.
Rancang Bangun Sistem Ujian Online SMP Berbasis Website dengan Menggunakan Metode SDLC pada SMPN 6 Kota Cirebon Haidar Fakhri; Odi Nurdiawan; Kaslani Kaslani; Edi Wahyudin; Nining Rahaningsih
INTERNAL (Information System Journal) Vol. 5 No. 1 (2022)
Publisher : Masoem University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32627/internal.v5i1.512

Abstract

SMP NEGERI 6 Cirebon City is a school that has an A accreditation score and gets the title as a National Standard School. However, there are still problems including when the exam is still visible cheating, the lack of types of questions and seating positions that allow students to work together, the values ??obtained from each lesson are still manually inputted from each class by each eye teacher. lessons, and there are teachers who feel tired to count and match the answers for each subject being tested. The method used is the Systems Development Life Cycle (SDLC), using the earliest SDLC approach used for software development, namely WaterFall. The results of the study indicate that this online-based exam system can help improve the effectiveness of online exams at SMP Negeri 6 Cirebon City for the better.
Convolutional Neural Networks for Classification Motives and the Effect of Image Dimensions Siti Aisyah; Rini Astuti; Fadhil M Basysyar; Odi Nurdiawan; Irfan Ali
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 8 No 1 (2024): February 2024
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29207/resti.v8i1.5623

Abstract

Although Indonesian batik patterns vary by location, they usually depict local customs and cultures. Each batik has a unique quality and, to correctly identify the batik designs, you need to understand the design patterns. However, many people struggle to identify and categorize these kinds of motivation because they don't have the requisite knowledge, understanding, or access to sufficient information. This study used photo data to classify batik patterns into 15 different groups. Batik Kawung, Megamendung, Lasem, Pole, Machete, Gills, Nutmeg, Karaswasih, Cendrawasih, Geblek Renteng, Bali, Betawi, and Dayak are all included in this category. 1,350 images were used in the research. Google supports the collection of data. To provide the highest level of precision and to evaluate how image dimensions affect the classification of batik designs, this study employs convolutional neural networks (CNNs). The results of this study show that Multi-Layer Perceptron (MLP) is a well-liked deep learning method for data classification, especially in domains where picture classification is involved. The size of the images utilized affects the accuracy of computational neural network (CNN) algorithms. The results showed that the test using training data comparisons of 60%, 30% and 10% resulted in a 01.89% loss of 1.18% and a 100% improvement in accuracy.
Co-Authors Abdul Robi Padri Ade Bani Riyan Ade Irma Purnamasari Ade Irma Purnamasari Ade Irma Purnamasari Ade Irma Purnamasari Ade Rizki Rinaldi Adisty Tri Putra Agis Maulana Robani Agus Surip Ahmad Faqih Ahmad Faqih Ahmad Faqih Ahmad Zam Zami Ananda Rafly Andi Setiawan Anwar Musaddad Aria Pratama Arif Rinaldi Dikananda Bambang Irawan Basysyar, Fadhil Muhammad Cep Lukman Rohmat Cep Lukman Rohmat Dias Bayu Saputra Dikananda, Arif Rinaldi Dilla Eka Lusiana Dita Rizki Amalia Dwi Teguh Afandi Edi Tohidi Edi Wahyudin Eko Wiyandi Fadhil M. Basysyar Fadrin Helmi Febriansyah, Feggy Fidya Arie Pratama Fidya Arie Pratama Gifthera Dwilestari Haidah Putri Haidar Fakhri Hira Wahyuni Azizah Husein Subandi Ibnu Ubaedila Irfan Ali Irfan Ali Irfan Ali, Irfan Irma Purnamasari, Ade Irvandi Jaelani Sidik Julia Eka Yanti Kaslani Khamim Surya Hadi Kusuma Al Atros Kurniawan Fajar Abdulloh Lukmanul Hakim Martanto . Medina Aprilia Putri Melia Melia Melisa Hikari Mia Fijriani Mohammad Rosihin Amar Muchamad Sobri Sungkar, Muchamad Sobri Mulyana Mulyana Mulyawan Mulyawan Nana Suarna Nana Suarna Nana Suarna Nanda Permatasari Nining Rahaningsih Noval Salim Nur Atikah Nurhadiansyah Nurhadiansyah Nurhadiansyah, Nurhadiansyah Pratama, Fidya Arie Pratiwi, Fitriyani Purnamasari, Ade Irma Putriyana Putriyana R, Nining Rifki Nurcholis Rini Astuti Riyan Suryatana Rohmat, Cep Lukman Rudi Hartono Ruli Herdiana Ruli Herdiana Rully Pramudita Saeful Anwar Saeful Anwar Saeful Anwar, Saeful Saepul Hadi Salsa Billa Agistina Siti Aisyah Tio Prasetiya Tio Prasetya TOMAS TOMAS Topan Hadi Tuti Hartati Tuti Hartati Wiyandi, Eko Yudhistira Arie Wijaya