Articles
Application Of Data Mining Using The Naïve Bayes Classification Method To Predict Public Interest Participation In The 2024 Elections
Marcelina Novi Zarti;
Eka Sahputra;
Anisya Sonita;
Yovi Apridiansyah
Jurnal Komputer, Informasi dan Teknologi Vol. 3 No. 1 (2023): Juni
Publisher : Penerbit Jurnal Indonesia
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DOI: 10.53697/jkomitek.v3i1.1192
A big data processing process using a Data Mining technique that will be used in a study in the Application of Data Mining Using the Naïve Bayes classification to predict the participation of the Public Interest in the 2024 election. The data was obtained from the General Election Commission (KPU). The data was tested using the Naïve Bayes classification method with Weka Tools and 7 predetermined attributes. The dataset was taken as much as 96.67% of 11,406 training data, namely 2014 election data and 99.90% of 11,908 testing data, namely 2020 election data. Results It is known that the number of participants in Central Bengkulu Regency for the 2024 election based on participant data in 2020 and the 2014 election results is likely to increase by up to 3.23%, from 96.67% per 11,406 participants to 99.90% per 11,908 participants and the results predictions are likely to increase.
Tourism Travel Agenda Planning Application Bengkulu City Based On Android
Yoan Ardoni;
Yovi Apridiansyah;
Ardi Wijaya;
Dedy Abdullah
Jurnal Komputer, Informasi dan Teknologi Vol. 3 No. 2 (2023): Desember
Publisher : Penerbit Jurnal Indonesia
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DOI: 10.53697/jkomitek.v3i2.1199
Most of the tourists visiting the city of Bengkulu. constrained by a lack of access to information sources. Meanwhile, tourists also really need valid information about the place to be visited which results in a lot of wasted time searching for information related to the location of the object they want to visit. Based on this background, the researcher created an application called the Adroid-Based Tourism Travel Agenda Planning Application, which aims to assist tourists in determining destinations and assist tourists in arranging tourism itinerary scheduling. In conducting this research, the type of research used is qualitative research with a scientific approach and the system design method used is waterfall and for calculating the results of the questionnaire using quantitative methods. This application runs on Android-based smartphones. This application includes two contents namely destinations and agendas. Destination content has five features, namely, lodging, tours, souvenirs, and orders. The development of this application uses the Android Studio software. In modeling this application uses the UML method in the form of uses case digrams and is tested using the blackbox testing method. The results of testing this application conclude that the expected functions are all successful as expected. The conclusion is that the Bengkulu City Tourism Itinerary Planning Application can make it easier for tourists to find destination locations in Bengkulu City and help tourists plan travel agenda schedules with some of the information available on the application.
Implementation Of Augmented Reality As A Media To Improve DSLR Camera Knowledge
Arif Tri Novian;
Agung Kharisma Hidayah;
Yovi Apridiansyah;
Dandi Sunardi
Jurnal Komputer, Informasi dan Teknologi Vol. 3 No. 2 (2023): Desember
Publisher : Penerbit Jurnal Indonesia
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DOI: 10.53697/jkomitek.v3i2.1266
The Augmented Reality Implementation application is an application or computer software designed in general to make it easier to learn about Multimedia material at SMK N 03 Padang Jaya school. AR has the advantage of being interactive and real time so that AR is widely implemented in various fields. The purpose of this study is to provide information on augmented reality technology to increase DSLR camera knowledge so that students can find out and make it easier for students to learn the shape of a DSLR camera, namely telephoto, camera body, lighting, and tripod. This application was created using the Blender application for making 3D models, and the Vuforia engine for making Maker, and Unity is the final step for building 3D models and Maker into an Android-based application. The results of this research can be seen that applying Augmented Reality technology can make it easier to study DSLR cameras so as to provide detailed information as expected based on the menu being tested.
Implementasi E-Tourism Desa Wisata Kabupaten Seluma Menggunakan Lbs
Sapitri Ramadhani;
Muntahannah;
Sastya Hendri Wibowo;
Yovi Apridiansyah;
Yulia Darnita
Jurnal Komputer, Informasi dan Teknologi Vol. 4 No. 1 (2024): June
Publisher : Penerbit Jurnal Indonesia
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DOI: 10.53697/jkomitek.v4i1.1793
Pariwisata dikabupaten seluma memiliki berbagai potensi pariwisata yang masih dalam tahap pengembangan. Sektor pariwisata memiliki peran penting dalam meningkatkan perekonomian yang ada di Kabupaten Seluma. Tempat wisata di daerah seluma masih banyak tertinggal dan terbengkalai karena kurangnya pengelolahan serta kurangnya informasi tentang tempat wisata tersebut. Permasalahan tersebut dapat diselesaikan dengan solusi pembuatan sistem berbasis online sehingga informasi dari tempat – tempat wisata yang ada di kabupaten seluma dapat diketahui oleh pihak lain. Solusi tersebut berupa pembuatan implementasi E-Tourism desa wisata kabupaten seluma menggunakan LBS dimana LBS merupakan layanan yang menggunakan informasi lokasi pengguna untuk menyediakan berbagai jenis informasi serta akses yang menyediakan informasi seperti galeri foto lokasi, sejarah lokasi, serta daftar lokasi yang dikunjungi. sehingga dapat memudahkan para pengunjung untuk mencari serta mengunjungi wisata tersebut. Pengujian pada penelitian sistem ini dilakukan menggunakan pengujian BETA sebanyak 40 responden dengan hasil 92,5%.
IDENTIFIKASI JENIS DAUN MENGGUNAKAN EKSTRASI FITUR
Ahmad Nur Habibullah Chan;
Yovi Apridiansyah;
Yuza Reswan;
Harry Witriyono
Journal of Technopreneurship and Information System (JTIS) Vol 8 No 3 (2025): Desember
Publisher : Fakultas Teknik Universitas Muhammadiyah Bengkulu
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DOI: 10.36085/jtis.v8i3.10024
Penelitian ini membahas implementasi dan evaluasi sistem identifikasi jenis daun menggunakan metode ekstraksi fitur berbasis pengolahan citra digital. Sistem dikembangkan menggunakan Graphical User Interface (GUI) Matlab dan melalui beberapa tahapan utama, yaitu pemrosesan citra, ekstraksi fitur, dan identifikasi. Dataset citra daun diproses dengan teknik pra-pemrosesan seperti cropping dan resizing untuk meningkatkan akurasi sistem. Metode ekstraksi fitur yang digunakan dalam penelitian ini meliputi analisis bentuk, tekstur, dan warna untuk membedakan jenis daun secara akurat. Hasil pengujian menunjukkan bahwa sistem ini memiliki tingkat akurasi sebesar 80%, presisi 90%, dan recall 86%. Hasil ini menunjukkan bahwa metode yang digunakan cukup efektif dalam mengidentifikasi jenis daun. Penelitian ini diharapkan dapat dikembangkan lebih lanjut dengan meningkatkan jumlah dataset dan menerapkan metode optimasi fitur yang lebih kompleks guna meningkatkan akurasi identifikasi.
Penerapan Fungsi Metode Rolling Hash Pada Algoritma Winnowing Untuk Mendeteksi Kemiripan Teks Abstrak Berbasis Web
Yovi Apridiansyah;
Ardi Wijaya;
Ari Purjiawan
Jurnal Media Infotama Vol 18 No 1 (2022): April
Publisher : UNIVED Press
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DOI: 10.37676/jmi.v18i1.1695
Plagiarisme merupakan pengambilan karangan atau pendapat orang lain dan menjadikannya seolah-olah karangan atau pendapat sendiri, misalnya menerbitkan karya tulis orang lain atas nama dirinya sendiri. Dalam hal mengantisipasi pendapat karangan orang lain yaitu dibutuhkan cara dalam menganalisis suatu dokumen, salah satunya yaitu dengan menerapkan fungsi metode rolling hash pada algoritma winnowing karena metode winnowing ini algoritma yang digunakan untuk melakukan proses pengecekkan kesamaan kata (document fingerprinting) untuk mengidentifikasi plagiarisme atau penjiplakan. Dengan menerapkan fungsi metode rolling hash pada algoritma winnowing dapat menghasilkan perbandingan persentase plagiat atau kemiripan suatu dokumen atau teks abstrak. Dari Percobaan membandingkan teks abstrak dalam salah satu jurnal mendapatkan nilai persentase 50,06% dengan menggunakan persamaan Jaccard Coeficient.
Pengembangan Media Pembelajaran Sejarah Indonesia Berbasis Android Mengunakan Algoritma Fisher Yates
Muntahanah Muntahanah;
Ahmad Novianto;
Ardi Wijaya;
Yovi Apridiansyah
Jurnal Media Infotama Vol 18 No 1 (2022): April
Publisher : UNIVED Press
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DOI: 10.37676/jmi.v18i1.1725
This study was an application development from former research that makes an android-based Indonesian history learning media application. From previous studies, the researcher did not employ randomization or algorithms. Meanwhile, in this study, it was developed using the Fisher-Yates algorithm. This study utilized the UCD method which conducted interviews with users or research sites so that they could get results on the needs, designs, and feasibility as well as tests on applications or learning media. From the results of the research that has been conducted, it is found that this learning media can aid the learning system for students of State Junior High School 38. As a necessity and feasibility, this learning media is calculated using a Likert Scale and gets 81.2% results which are included in the statement strongly agree.
Aplikasi Chatbot Sebagai Media Pembelajaran Interaktif SD N 17 Kota Bengkulu Berbasis Android
Ria Parina;
Ardi Wijaya;
Yovi Apridiansyah
Jurnal Media Infotama Vol 18 No 1 (2022): April
Publisher : UNIVED Press
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DOI: 10.37676/jmi.v18i1.1772
Kriteria kualitas media pembelajaran interaktif dapat dinilai berdasarkan kualitas materi dan kualitas pembelajaran, dan kualitas teknik. Seperti halnya yang terjadi di SD Negeri 17 Kota Bengkulu, masih banyak guru yang masih menggunakan metode konvensial. Permasalahan dalam pembelajaran menurut siswa yaitu kurangnya materi serta soal yang interaktif dan menarik sehingga mengakibatkan siswa kurang termotivasi dalam mengikuti kegiatan pembelajaran. Dengan memperhatikan hal tersebut, perlu adanya media pembelajaran alternatif untuk memudahkan siswa dalam mendapatkan materi pembelajaran. Chatbot merupakan agen cerdas yang dapat meniru kemampuan manusia untuk melakukan percakapan dengan pengguna yaitu manusia. Chatbot pada bidang pendidikan dapat dimanfaatkan sebagai pengembangan media pembelajaran sebagai penyaji bahan materi dan soal yang interaktif dan menarik.
Integrasi library Json Retrofit Dengan Framework Codeigniter Pada Aplikasi UMKM UD Rahma
Wahid Hidayat;
Yovi Apridiansyah;
Harry Witriyono;
Agung Kharisma Hidayah
Jurnal Media Infotama Vol 18 No 2 (2022): Oktober
Publisher : UNIVED Press
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DOI: 10.37676/jmi.v18i2.2923
MSMEs (Micro, Small and Medium Enterprises) are businesses established by individuals / individuals / business entities that meet the criteria, MSMEs usually have limited capital, because capital only comes from business owners or a small group of people who invest capital for these MSMEs. Code Igniter is one of the widely used frameworks, where the main purpose is to minimize the code when creating a website. The advantages of Code Igniter include being open source, being able to run in all PHP versions, the program only requires few resources so that the program runs lightly and quickly, using the Model View Controller (MVC) so that it makes it easier for programmers when a website change occurs, has complete documentation, ranging from installation steps to code or functions / classes in website creation. From the results of this study, it has succeeded in integrating the JSON retrofit library in applications built for ordering products in android applications with the CI framework also successfully used to create its web-based backend application with beta test results in terms of appearance and user convenience of 72%.
Segmentasi Warna Kulit Menggunakan Ruang Warna YCBCR Untuk Deteksi Wajah Manusia
Yovi Apridiansyah;
erwin dwika putra;
Diana Diana;
Angtyas Candra Pratama
Jurnal Media Infotama Vol 19 No 1 (2023): April
Publisher : UNIVED Press
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DOI: 10.37676/jmi.v19i1.3808
Image processing is a system where the process is done by entering in the form of imagery and the result is also in the form of imagery. At first this image processing was done to improve the quality of the image, but with the development of the world of computing which is characterized by increasing the capacity and speed of computer processes. In this research image processing will be used for skin color detection which is the initial process in image processing. Success in detecting pixel imagery can be a category of skin or not skin seen from the results of processing processes such as the process of detecting human faces. Skin detection is also a process of finding skin pixels of color in the area of the image or video, this process is usually used as a preprocessing step to find areas that could potentially have a human face. In this study by applying the color space YcbCr we were able to detect faces in humans with a high percentage accuracy rate with a precession percentage of 77%, Recal 87% and an accuracy rate of 72% from the results of 10 image samples.