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Aplikasi Kamus Pembelajaran Bahasa Jepang Pada Sistem Operasi Android Menggunakan Algoritma String Matching Knuth-Morris-Pratt Darnita, Yulia; Hidayat, Muhammad Husni; Toyib, Rozali; Wijaya, Ardi
Jurnal Media Infotama Vol 20 No 1 (2024): April 2024
Publisher : UNIVED Press

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Abstract

As a globally advanced country, Japan attracts the interest of job seekers, especially from developing countries such as Indonesia. The primary motivation behind this interest is the opportunity to obtain better employment, higher income, and experience living in a culturally and linguistically different environment from their place of origin. One of the mandatory requirements for working in Japan is to have fluent Japanese language skills. However, challenges arise for prospective interns or job seekers who need to remain active in their current employment while awaiting their exam schedules or departure to Japan. To address this issue, a solution is needed that allows flexible Japanese language learning accessible anytime and anywhere, one of which is by creating an application that can be downloaded and installed on their smartphones. This application provides filtered Japanese vocabulary, eliminating the need for users to memorize all words like in conventional dictionaries, considering that some words may not be commonly used in daily situations. To enhance user convenience, the application is equipped with a word search function, facilitating the process of finding desired words. The search process in this application utilizes the Knuth-Morris-Pratt String Matching method, an efficient string matching algorithm for finding a specific pattern in a text. The application allows users to match inputted words with the available vocabulary database. This application is divided into two parts, namely the data input section and the output section used by users on their smartphone devices. The application provides various features to assist users in learning Japanese, such as vocabulary pages, conversations, and word searches. The use of the Knuth-Morris-Pratt (KMP) algorithm enables efficient and effective word searches in the vocabulary database. It is hoped that this application can help users in learning Japanese easily and effectively, both for academic and professional purposes.
Klasifikasi Kualitas Buah SawitMenggunakan Metode Gray Level Co-occurrence Matrix Dengan Variasi Arah Obyek Ikhlasul, Ridho; Wijaya, Ardi; Veronica, Nuri David Maria; Toyib, Rozali
Jurnal Media Infotama Vol 20 No 1 (2024): April 2024
Publisher : UNIVED Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmi.v20i1.5679

Abstract

The harvest of fresh fruit bunches (FFB) from palm fruit is done with fruit that is of good quality, namely fruit that is dark red in color or has lots of knots, so that the quality of the palm oil produced increases. Low quality produced will of course further weaken competitiveness. Determining the quality classification of palm oil can be done through image processing techniques. Classification is the process of declaring a data object to one of the previously defined categories. Categorization of data sets can involve grouping them into similar types of classification or identifying similar characteristics across a number of observations. Classification is supported by the concept of pattern recognition, classifying the quality of palm oil products as categories produced. Efforts to achieve the expected quality standards by using quality control. This classification of palm oil is divided into quality classes, namely good and not good. Knowing the quality of palm oil is done by making an application for palm oil quality using image processing. There are quite a lot of methods used in image processing technology. One of them is the Gray Level Co-Occurrence Matrix (GLCM) method. Gray Level Co-Occurrence Matrix (GLCM) is a method used for texture analysis/feature extraction, feature acquisition is obtained from matrix pixel values, which have certain values ​​and form an angle pattern. Palm Fruit Quality Classification Using Gray Level Co-occurrence Matrix With Variations in Object Direction. It is hoped that this application can help determine the quality of palm fruit more easily and efficiently.
ANALISIS PENGENDALIAN PERSEDIAAN PRODUK DENGAN METODE EOQ BERBASIS WEB Thiara, Rekhi; Wijaya, Ardi; Pahriza, Pahriza; Khairullah, Khairullah
Jurnal Media Infotama Vol 20 No 1 (2024): April 2024
Publisher : UNIVED Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmi.v20i1.5749

Abstract

Inventory management is a crucial aspect in maintaining business operations. This article discusses the implementation of the Economic Order Quantity (EOQ) method in inventory control of products using a web-based application. The EOQ method is employed to optimize the most efficient order quantity while considering ordering costs and holding costs. In this study, we emphasize the significance of proper inventory management in ensuring product availability. Distributors or companies require an accurate calculation system to determine the appropriate order quantity and timing. Errors in inventory management may lead to missed sales opportunities or detrimental excess inventory. The utilization of computer technology is pivotal in expediting and enhancing decision-making processes related to inventory. The EOQ method is systematically implemented through a web-based application to facilitate intelligent product inventory planning. This application enables the calculation of crucial parameters such as Economic Order Quantity (EOQ), Reorder Point, and Total Costs. The findings of this research demonstrate that the implementation of the EOQ method in inventory management has positive effects in addressing stockouts and excess inventory issues. Furthermore, companies can reduce overall inventory costs by optimizing resource utilization. The web-based application with the EOQ method provides an effective solution for achieving efficiency and cost reduction in product inventory operations
Pengolahan Citra Berbasis Video Proccesing dengan Metode Frame Difference untuk Deteksi Gerak Yovi Apridiansyah; Wijaya, Ardi; Pahrizal; Rozali Toyib; Arif Setiawan
Journal of Applied Computer Science and Technology Vol 5 No 1 (2024): Juni 2024
Publisher : Indonesian Society of Applied Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52158/jacost.v5i1.790

Abstract

This study discusses the detection of motion of objects in video by utilizing the Frame difference method which aims to process video so as to produce Frames on moving objects. The use of mobile cameras produces video data that is used as test data, the test data is processed with the Frame difference method so as to produce a number of Frames on moving objects in order to detect moving objects in the video because the function of this method is a form of video background reduction that is simplified by a number of pixels in the video. This method process is based on the difference between two consecutive frames in the video aimed at finding differences that occur during the detection process. When processed for detection, the absolute value in the pixel is greater than the predetermined threshold value, it will be considered as a moving object, so that the detection results from the motion detection process will form a box object on the moving object. In this study, the test data used used 20 video data samples with descriptions, 10 test data with bright quality (daytime) and 10 unlit test data (night) with the aim of being able to see how much the level of performance accuracy of the Frame difference method. The test results obtained 16 out of 20 test data that were successfully detected correctly (True Positive), there were 2 test data that resulted in a False Positive error, and 2 test data that resulted in a False Negative error. This shows that the Frame difference method can provide a fairly high level of accuracy in detecting moving objects in the video. The percentage level of accuracy with confussion matrix testing has a precission value of 88%, recal 88% and an accuracy value of 80%.
PENERAPAN ALGORITMA OCR UNTUK EKSTRAKSI INFORMASI DARI CITRA KARTU TANDA MAHASISWA (KTM) Reswan, Yuza; Raffles, Richard; Wijaya, Ardi; Apridiansyah, Yovi
JATI (Jurnal Mahasiswa Teknik Informatika) Vol. 8 No. 5 (2024): JATI Vol. 8 No. 5
Publisher : Institut Teknologi Nasional Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36040/jati.v8i5.11006

Abstract

Kartu Tanda Mahasiswa (KTM) merupakan kartu identitas resmi yang dikeluarkan oleh universitas kepada setiap mahasiswa untuk mengidentifikasi status mahasiswa mereka. Proses pembuatan dan pengelolaan KTM saat ini masih dilakukan secara manual, di mana data mahasiswa harus diinput dan diverifikasi satu per satu, sehingga rawan terjadi kesalahan dan memerlukan waktu yang cukup lama. Untuk mengatasi masalah ini, diperlukan integrasi antara teknologi pengenalan karakter dan pengolahan citra. Oleh karena itu, metode Optical Character Recognition (OCR) sangat tepat diimplementasikan dalam masalah ini. Metode OCR merupakan teknologi yang memanfaatkan algoritma pengenalan karakter untuk mengekstrak informasi dari gambar atau teks cetak. Hasil dari penelitian ini adalah membaca dan mengenali karakter pada KTM secara efisien dan data berupa informasi pribadi dari KTM sudah otomatis tersimpan di Microsoft Word dan telah diuji tingkat keberhasilan penelitian menggunakan Precission, Recall, dan Accuracy. Adapun hasil yang didapat dari Precission, Recall, dan Accuracy dari penelitian ini yaitu Precission sebesar 88%, Recall sebesar 100%, dan Accuracy 88%.
PEMANFAATAN TEKNOLOGI DIGITAL KOMPUTER DALAM PEMBELAJARAN DI SEKOLAH MENENGAH PERTAMA Ade Ferdiansyani; Nurhayati, Nurhayati; Wijaya, Ardi
Jurnal Pengabdian Masyarakat Ilmu Komputer Vol. 1 No. 1 (2024): Januari
Publisher : Yayasan Nuraini Ibrahim Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59407/jpmik.v1i1.560

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Pemanfaatan teknologi informasi dan komunikasi menjadi salah satu prinsip pembelajaran di sekolah menengah pertama dalam rangka meningkatkan efisiensi dan efektifitas pembelajaran. Sosialisasi pemanfaatan teknologi digital dalam memotivasi minat belajar siswa-siswi SMP 07 mampu meningkatkan motivasi guru dalam berinovasi dan meningkatkan pemahaman siswa dalam belajar mengajar. Supaya siswa-siswi SMP Negeri 07 memiliki semangat yang tinggi dalam melakukan kegiatan pembelajaran, sistem pembelajaran yang diisi dengan menyenangkan dapat membuat anak-anak lebih rileks dan tidak malas lagi dalam belajar, terutama dalam pelajaran matematika. Karena teknologi informasi merupakan ilmu yang penting dan dimana pelajaran teknologi informasi ini selalu ada di setiap jenjang pendidikan bahkan sampai ke bangku perkuliahan. Kata Kunci: Teknologi Informasi, Digital, Sekolah Menengah Pertama
PELATIHAN DAN PENGENALAN PERANGKAT KERAS KOMPUTER PADA SISWA SEKOLAH MENENGAH Mawarni, Shindy; Nurhayati, Nurhayati; Wijaya, Ardi
Jurnal Pengabdian Masyarakat Ilmu Komputer Vol. 1 No. 1 (2024): Januari
Publisher : Yayasan Nuraini Ibrahim Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59407/jpmik.v1i1.561

Abstract

Teknologi komputer merupakan hal yang tidak asing lagi dikalangan masyarakat. Komputer tidak hanya dapat digunakan oleh orang dewasa saja, akan tetapi siswa yang duduk di bangku Sekolah Menengah Pertama pun layak untuk diperkenalkan pada teknologi komputer. Mengenal sesuatu ialah hal yang mutlak bagi seorang anak yang duduk dibangku sekolah, yaitu mengenal komputer dan perangkatnya. Untuk belajar mengenal komputer adalah dasar yang wajib dipahami bagi anak pada jenjang pendidikan Sekolah Menengah Pertama. Kegiatan sosialisasi di SMPN 07 Kota Bengkulu ini bertujuan untuk menghasilkan modul interaktif mengenal komputer, sehingga dapat memberikan manfaat yang lebih kepada banyak pihak dan diharapkan dapat meningkatkan kualitas belajar peserta didik Sekolah Menengah Pertama yang pada akhirnya mendorong dunia pendidikan yang lebih maju. Kata Kunci : Komputer, Teknologi, Sosialisasi
PELATIHAN PENGGUNAAN APLIKASI PERKANTORAN MICROSOFT OFFICE PADA ANAK USIA SEKOLAH Raffles, Richard; Nurhayati, Nurhayati; Wijaya, Ardi; Sonita, Anisya
Jurnal Pengabdian Masyarakat Ilmu Komputer Vol. 1 No. 1 (2024): Januari
Publisher : Yayasan Nuraini Ibrahim Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59407/jpmik.v1i1.563

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ABSTRAK Peran teknologi dan informasi kini sudah sangat diperlukan, apalagi di era revolusi industri 4.0 saat ini. Siswa SDN 57 Koa Bengkulu diharapkan memiliki keterampilan lebih dibandingkan siswa-siswi lainnya. Microsoft Office merupakan salah satu aplikasi perangkat lunak yang biasa digunakan untuk menunjang kegiatan belajar mengajar. Saat ini siswa di SDN 57 Kota Bengkulu telah mempunyai sarana dan prasarana untuk melayani kegiatan belajar mengajar, namun siswa belum dapat menggunakan fitur-fitur yang tersedia pada aplikasi Microsoft Office. Pelatihan ini bertujuan untuk meningkatkan keterampilan mahasiswa dalam menggunakan perangkat lunak Microsoft Office (Microsoft Word dan Microsoft Power Point) untuk mendukung kegiatan belajar mengajar. Kegiatan pengabdian ini bertujuan untuk mendukung siswa SDN 57 Kota Bengkulu dalam aplikasi Microsoft Word dan Microsoft PowerPoint. Dengan adanya kegiatan ini, kami berharap siswa akan lebih mudah mengolah teks dan membuat dokumen presentasi yang bermanfaat sehingga memudahkan proses pembelajaran. Kata Kunci: Ms Office, Komputer, Pelatihan
Aplikasi Penjualan Fokus Komputer Menggunakan Bahasa Pemrograman PHP dan Metode Apriori Ramadhan, Arya Gilang; Pahrizal, Pahrizal; Wijaya, Ardi; Toyib, Rozali
Jurnal Media Infotama Vol 20 No 2 (2024): Oktober
Publisher : UNIVED Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmi.v20i2.6446

Abstract

Information technology-based sales applications have emerged as essential solutions for optimizing sales processes, tracking inventory, and understanding customer purchasing patterns. Fokus Computer Store offers a range of products, including computer components, laptops, as well as accessories such as mice, mouse pads, keyboards, USB drives, and other computer components. However, challenges arise in sales efficiency, where certain items tend to accumulate without being sold over extended periods, impacting the store's cash flow. Therefore, an application capable of providing product recommendations based on previous sales data becomes crucial in assisting the store in effective inventory management and maintaining a smooth cash flow. The Apriori method is one form of association rule in the field of data mining. Alongside Apriori, there are other methods within this category, such as Generalized Rule Induction and Hash-Based Algorithms. The Apriori method, being a proven effective algorithm for association analysis, will be employed to uncover potential hidden purchasing patterns within the store's transactional data. By analyzing customer purchase data, this application can identify relationships between frequently co-purchased products. The results of this analysis can be utilized to formulate product recommendations for customers, enhance cross-product sales opportunities, and support inventory management decisions. This application can serve as a point-of-sale system at Fokus Computer Store, with the ability to display the outcomes of the Apriori algorithm calculations based on the input sales data. Despite the application developed by the author having certain limitations, particularly in terms of user interface and data, the author anticipates receiving constructive criticism and suggestions to aid in refining the application for the betterment of its future iterations
PELATIHAN MEMBANGUN WEBSITE MENGGUNAKAN CANVA DI LKSA ‘AISYIYAH KASIH IBU Hikmah, Mutiara; Feni, Rita; Wijaya, Ardi; Mulyadi, Maheran; Yawahar, Jon
Jurnal Gembira: Pengabdian Kepada Masyarakat Vol 2 No 05 (2024): OKTOBER 2024
Publisher : Media Inovasi Pendidikan dan Publikasi

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Abstract

Website sangat dibutuhkan baik untuk promosi, berkomunikasi maupun sebagai sumber  informasi karena terhubung dengan internet dan dapat dengan mudah diakses orang banyak . Tujuan dari pengabdian yang dilakukan oleh penulis adalah agar peserta dapat membuat website tanpa harus  mempelajari pemprograman yang sulit. Sasaran dari pengabdian yaitu anak-anak SMA dan Pengurus di LKSA  ‘Aisyiyah Kasih Ibu. LKSA  ‘Aisyiyah Kasih Ibu Bengkulu yang berada di Kelurahan Kampung Bali menyadari pentingnya penggunaan website, namun terhambat karena minimnya pengetahuan di bidang IT. Metode dalam pengabdian ini menggunakan metode pelatihan yang  meliputi persiapan  materi pelatihan, tahapan pengenalan aplikasi canva, tahapan  praktek  langsung pembuatan website dan evaluasi kegiatan melalui google form untuk mengetahui hasil dari pelatihan. Hasil pengabdian ini menunjukan bahwasannya peserta sudah mampu menggunakan aplikasi canva secara umum dan mampu membuat website. Selain itu peserta mendapat kemampuan baru dan dapat mengembangkan diri salah satunya dapat membuat website portofolio.
Co-Authors Abdul Syukur Abdullah, Dedy Ade Ferdiansyani Agus Setiawan Agustio, Faidillah Alam, RG.Guntur Alamsyah, Malik Fajar Alfarrizi, Jhodie Andilala Anggara, Muhammad Andre Aprianti, Zalia Apridiansyah, Yovi Ardiansyah, Adidi Muhammad Ardoni, Yoan Ariestanto, Dian Arif Setiawan Avida, Meny Dandi Sunardi Darnita, Yulia David Maria Vironika, Nuri Della, Della Rahma Dita, Willia Cahaya Fadli, Rengga Fadlikal Ilham Aditma, Afredo Febitri, Nora Febriani, Lovi Feni, Rita Fernando, Jerry Franata, Heru Gunawan Gunawan Guntur Alam Gustomi, Aldi Hariani, Merti Sri Hendri Wibowo, Sastya hidayah, agung kharisma Hidayat, Muhammad Husni Ikhlasul, Ridho Imanullah, Muhammad Janati, Iffah zafira Juhardi , Ujang Juhardi, Ujang Juliza, Sita Khairullah, Khairullah Kharisma , Agung Kirman Kirman, Kirman Kontesa, Ronaldo Kornengsih, Resnita Kurniawan, Edo marhalim, marhalim Maulana, M Fiqri Mawarni, Shindy Meyzera, Anes Muhammad Danil, Muhammad Mulyadi, Maheran Muntahanah, Muntahanah Mutiara Hikmah Nandika, Arjun Putra Nur'aini, Nur'aini Nurhayati Nurhayati Pahriza, Pahriza Pahrizal Pahrizal, Pahrizal Pirdaus, M Sapta Putra, Muhammad Ardiansah Putra, OJi Herwanda Putra, Riky Ade Putri, Dinda Raffles, Richard Rahmat, Deki Ramadhan, Arya Gilang Rasyid, Muhammad Soelaiman Renaldi Renaldi Rifqo, Muhammad Husni Rohman, Mohammad Abkar Nur Rosalina Rosalina Rozali Toyib Safitri Safitri Sahputra, Eka Selta Jaya Putra Sonita , Anisya Sonita, Anisya Sulaini, Soneta Supriatin Supriatin, Supriatin Surya Ade Saputera Tamara, Vivin Thiara, Rekhi Toyib, Rozali Umasih Umasih Veronica, Nuri David Maria Veronika, Nuri David Maria Waluyo Witriyono, Harry Yawahar, Jon Yuda, Azildjian Arma Yulia Darmi yuliadarnita, yuliadarnita Yuza Reswan