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PERANCANGAN USER INTERFACE APLIKASI PEMBELAJARAN BAHASA SUNDA PADA SEKOLAH DASAR NEGERI KAMOJING CIKAMPEK MENGGUNAKAN METODE DESIGN THINKING Arif Ramdhani; Yudhi Raymond Ramadhan; Yusuf Muhyidin
Jurnal Cahaya Mandalika ISSN 2721-4796 (online) Vol. 4 No. 3 (2023)
Publisher : Institut Penelitian Dan Pengambangan Mandalika Indonesia (IP2MI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36312/jcm.v4i3.2012

Abstract

Since the implementation of the 2013 curriculum, local language subjects have been taught in elementary schools. Learning local languages is important to maintain and preserve the language. SDN Kamojing Cikampek is located in West Java and is one of the schools for learning local languages, namely Sundanese. Many students are motivated to learn Sundanese at school, but there are also many students who have difficulty learning Sundanese. Given the innovation in the world of education today involves a lot of technology to carry out the learning process. There are many ways to learn Sundanese, one of which is through learning media that utilizes technology such as smartphones. With the support of technological innovation that is increasingly advanced, the role of user interface is important for user problem solving needs. The purpose of this research is to find out how we can use design thinking to meet and understand user needs. With the existence of Sundanese language learning media can help students learn Sundanese easily.
ANALISIS SENTIMEN E-WALLET GOPAY, SHOPEEPAY, DAN OVO MENGGUNAKAN ALGORITMA NAIVE BAYES Widianto, Iqbar Sajidan; Ramadhan, Yudhi Raymond; Komara, Mutiara Andayani
Jurnal Informatika dan Teknik Elektro Terapan Vol. 12 No. 3S1 (2024)
Publisher : Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jitet.v12i3S1.5277

Abstract

Pembayaran secara non-tunai atau cashless yang dilakukan melalui aplikasi dompet digital atau e-wallet merupakan aktivitas digitalisasi yang terus digunakan dalam kehidupan sehari-hari, mulai dari pesan antar makanan, berbelanja online, hingga pembayaran asuransi semua dilakukan dengan mudah dan cepat melalui aplikasi dompet digital. Dari banyaknya pengguna aplikasi dompet digital tersebut tentu saja tidak semua pengguna merasa puas dengan aplikasi yang mereka gunakan dan biasanya para pengguna aplikasi dompet digital sering kali meninggalkan ulasan kepuasannya di salah satu platform distribusi aplikasi yaitu Google Play Store. Namun, jika para calon pengguna aplikasi membaca seluruh ulasan itu bisa menghabiskan banyak waktu, maka dalam hal ini perlu dilakukan analisis sentiment. Tujuan dari penelitian ini adalah untuk menganalisis sentimen ulasan aplikasi dompet digital Shopeepay, Gopay, dan OVO di Google Play Store. Metode penelitian yang digunakan adalah metode Knowledge Data Dictionary (KDD) dengan menggunakan algoritma Naïve Bayes Classifier. Tools yang digunakan untuk mendukung proses penelitian yaitu Jupiter Notebook dengan bahasa pemrograman Phyton. Objek penelitian berfokus pada tiga aplikasi dompet digital yaitu Gopay, Shopeepay dan OVO. Setelah dilakukan pengujian menggunakan algoritma Naïve Bayes Classifier hasil nilai akurasi aplikasi Shopeepay memiliki nilai paling besar yaitu sebesar 88%, disusul aplikasi OVO 86% sebesar dan aplikasi Gopay sebesar 82%. Dari hasil akurasi tersebut dapat disimpulkan bahwa algoritma Naïve Bayes Classifier bekerja dengan baik terhadap analisis aplikasi Shopeepay
Implementation Of A Decision Support System In Determining Recipients Of Rice Seed Aid For Farmers Groups Using Smart Method Fathan Naufal Rosidin; Yudhi Raymond Ramadhan; Dede Irmayanti
RISTEC : Research in Information Systems and Technology Vol. 6 No. 2 (2025): RISTEC: Research in Information Systems and Technology
Publisher : Institut Pendidikan Indonesia Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31980/4wnrf953

Abstract

The Purwakarta Regency Food and Agriculture Service plays a crucial role in distributing rice seed aid to farmer groups. However, the process of determining recipients is often time-consuming and not entirely objective. To address this issue, this study developed and built a web-based system that can assist the agency in making decisions quickly and fairly. This system applies the SMART (Simple Multi-Attribute Rating Technique) method, a technique that evaluates and assigns weights to several criteria, such as land area, harvest yield, harvest target, number of group members, and the volume of seeds submitted. The system was developed using the waterfall method, which includes planning, design, construction, and testing. Test results show that this system is capable of providing accurate calculations and assisting the agency in determining aid recipients more easily and transparently. By inputting criteria, sub-criteria, and alternatives from the data obtained using 10 data as samples to display the ranking of farmer groups entitled to receive rice seed assistance, namely the Mekar Jadi farmer group from Tegalwaru sub-district, and Batutumpang village with a final value of 0.7833 as one of the priorities in the distribution of rice seed assistance.