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All Journal Jurnal Informatika dan Teknik Elektro Terapan Sinkron : Jurnal dan Penelitian Teknik Informatika JTT (Jurnal Teknologi Terpadu) JTERA (Jurnal Teknologi Rekayasa) JURIKOM (Jurnal Riset Komputer) Jurnal Riset Informatika Jurnal Ilmiah Betrik : Besemah Teknologi Informasi dan Komputer Jurnal Cahaya Mandalika KLIK: Kajian Ilmiah Informatika dan Komputer J-SAKTI (Jurnal Sains Komputer dan Informatika) Jurnal Sistem Informasi, Teknik Informatika dan Teknologi Pendidikan (JUSTIKPEN) RISTEC : Research in Information Systems and Technology Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen) Jurnal Ilmiah Betrik : Besemah Teknologi Informasi dan Komputer Jurnal Riset Sistem Informasi
Ramadhan, Yudhi Raymond
Sekolah Tinggi Teknologi Wastukancana, Jawa Barat, Indonesia
Humanities Civil Engineering, Building, Construction & Architecture 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 Materials Science & Nanotechnology Mechanical Engineering Social Sciences Other

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Rancang Bangun Aplikasi Rentcar Now Pada Rental Mobil Sahabat Purwakarta Berbasis Mobile dengan Metode Prototype Muhammad Reza Mahendra; Yudhi Raymond Ramadhan; Dadi Iskandar
Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen) Vol 4, No 1 (2023): Edisi Januari
Publisher : LPPM STIKOM Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/kesatria.v4i1.115

Abstract

Sahabat Purwakarta Car Rental is a company engaged in services, especially for car rental services in Purwakarta. Ordering and presenting information on car availability is part of the business process activities carried out by Sahabat Purwakarta Car Rental. In the design of the best friend rental car application for mobile-based online ordering, the case study of the friend car rental in Purwakarta, the author uses a prototype software method using the Flutter programming language and uses firebase as the database. The features contained in the rentcar now application at Purwakarta best friend car rental are car availability, car ordering, managing car data, managing order data, and managing report data. The application that was built has been tested using blackbox testing and can run well. In implementing the rentcar now application, it is hoped that ordering and presenting information on car availability will make it easier for consumers and help employees at car rental friends in Purwakarta
PENERAPAN METODE UCD UNTUK PERANCANGAN UI DAN UX DALAM MEMBANGUN FITUR MENTOR ON DEMAND DAN LIVE CHAT PADA WEBSITE SKILVUL Youky Arie Sandi; Imam Ma’ruf Nugroho; Yudhi Raymond Ramadhan
JURNAL ILMIAH BETRIK Vol. 13 No. 03 DESEMBER (2022): JURNAL ILMIAH BETRIK : Besemah Teknologi Informasi dan Komputer
Publisher : P3M Institut Teknologi Pagar Alam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36050/betrik.v13i03 DESEMBER.34

Abstract

The user interface (UI) plays an important role in giving the user a good initial impression of the visuals of an application or website. Meanwhile, User Experience (UX) helps build interaction between users and the application system or website. UI and UX design is very influential for user comfort, so it needs an accurate analysis according to user needs. Skilvul is a technology education platform that currently wants to create Mentor on Demand and Live Chat features. This feature is needed because the number of students is not proportional to the number of existing mentors, therefore this feature was created which aims to help Skilvul students to be able to consult and discuss learning with mentors privately. By making these features, UI and UX design will be carried out first using the User Centered Design (UCD) method. The results of the design in this study were carried out using the Single Ease Questionnaire (SEQ) method. Through the SEQ questionnaire, the average value is 6.5 where the value is included in the easy category. Based on these results, it proves that the results of UI and UX design in building Mentor on Demand and Live Chat features can be categorized as easy and according to user needs.
Perancangan UI/UX Aplikasi Reservasi di Kitchenery Resto and Cafe Purwakarta Menggunakan Metode GDD Dewi, Shintia Kemala; Nugroho, Imam Maruf; Ramadhan, Yudhi Raymond
Jurnal Sistem Informasi, Teknik Informatika dan Teknologi Pendidikan Vol. 3 No. 1 (2023): Jurnal Sistem Informasi dan Teknologi
Publisher : Utiliti Project Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55338/justikpen.v3i1.55

Abstract

User Interface (UI) dan User Experience (UX) memainkan peran integral dalam membantu aplikasi agar lebih menonjol. Oleh karena itu, memiliki UI yang terintegrasi dan harmonis atau UX dalam aplikasi seluler tidak hanya membantu bisnis untuk menarik lebih banyak pengguna tetapi juga meningkatkan kepuasan pelanggan. Kitchenery Resto and Cafe Purwakarta merupakan salah satu tempat makan yang memanfaatkan teknologi untuk memajukan bisnisnya dan membutuhkan desain aplikasi reservasi untuk membantu pelanggan dan karyawan dalam melakukan proses reservasi. Dengan pembuatan aplikasi tersebut akan dilakukan UI dan UX terlebih dahulu dengan menggunakan metode Goal Directed Design (GDD). Hasil perancangan akan dilakukan dengan menggunakan metode pengujian System Usability Scale (SUS). Berdasarkan metode perancangan dan metode pengujian pada penelitian ini, didapatkan nilai rata-rata 78 dengan grade B melalui kuesioner pada tahap support yang dilakukan oleh lima orang responden. Berdasarkan hasil tersebut membuktikan bahwa hasil perancangan UI dan UX aplikasi reservasi ini dapat diterima dan sesuai dengan kebutuhan pengguna.
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
Analisis Marketplace Shopee Untuk Memprediksi Penjualan dengan Algoritma Regresi Linier Syakir, Yusuf; Hermanto, Teguh Iman; Ramadhan, Yudhi Raymond
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 6, No 2 (2022): EDISI SEPTEMBER
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v6i2.501

Abstract

Many methods can be used to predict sales, one of which is the processing of sales data using the method of data mining with a linear regression algorithm. The data in this study used is data on sales of the Ariqa Collection Boutique in the Shopee marketplace starting from May 2020 to April 2022. By using a linear regression algorithm, the Ariqa Collection Boutique can predict sales estimates based on total visitors and total orders. The data mining method used is SEMMA (Sample, Explore, Modify, Model, Assess). With the Rapidminer Studio 9.10 tools the test results Mean Square Error (MSE) value is 5.172.628.212.404, Root Mean Square Error (RMSE) is 2.274.341, and Mean Absolute Percentage Error (MAPE) is 4.34%. Based on the MAPE value obtained, the accuracy of the linear regression algorithm in predicting sales of Ariqa Collection Boutique in the Shopee marketplace provides high accuracy
Analisis Sentimen Terhadap Aplikasi Chatgpt Pada Twitter Menggunakan Algoritma Naïve Bayes Rifaldi, Muhamad Ilmar; Ramadhan, Yudhi Raymond; Jaelani, Irsan
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 7, No 2 (2023): EDISI SEPTEMBER
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v7i2.687

Abstract

Sentiment analysis or opinion mining is the detection of attitudes, opinions and emotions towards an object. The value of sentiment analysis can be divided into 2 types of sentiment, namely positive and negative sentiment. One of the topics that is currently being discussed by the public on Twitter social media is an AI-based chatbot application, ChatGPT. This research makes public tweets on Twitter as sentiment analysis material. Data retrieval is done using the Twitter API with data processing on Rapidminer and visualization using Power BI. The sentiment analysis process uses the Naïve Bayes algorithm by dividing the data of 301 tweets into training data and test data. Then testing using Confusion matrix to calculate the performance of the classification results. From the test results, 80% accuracy was obtained, then the Precission value was 80.95% and the Recall value 89.47%. It can be concluded that public sentiment on Twitter for the ChatGPT application tends to be positive seen from the number of positive tweet data as much as 74%.
Perancangan User Interface/User Experience Aplikasi Mobile Menggunakan Metode Design Thinking Pada Only One Cloth Di Purwakarta Budiharto, Sigit; Ramadhan, Yudhi Raymond; T, Moch. Hafid
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 7, No 1 (2023): EDISI MARET
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v7i1.579

Abstract

The most important stage in making a mobile application is designing an attractive display design. The Only One Cloth store still uses social media to sell products, besides that the factors that are still limited to the Only One Cloth Store are the lack of payment system organization and descriptions, therefore an application display that is needed by the store and potential users is made. The user interface (UI) is a form of graphical display that relates to potential users. User Interface works to connect users with the operating system on the computer so that prospective users can use it easily. Making the application display uses the iterative Design Thinking method where we try to understand the user, challenge assumptions, and redefine the problem in an effort to find alternative strategies and solutions. The Design Thinking method consists of five stages, namely Emphatize, Define, Ideate, Prototype, Test. At the Test stage, a test will be carried out on the value given to the task from the application display that has been made. The values that have been collected will be tested using the Single Ease Question (SEQ) method and get a value of 6.4 from the total tasks that have been assessed, if one task has a value of 5.5 then it must be iterated again. Judging from the SEQ results from the appearance of the application that is made feasible 6.4 then the appearance of the application is already easy to use by potential users
RANCANG BANGUN APLIKASI PENGAJUAN CUTI KARYAWAN BERBASIS WEB PADA PT. INDORAMA SYNTHETICS Risa Nabilah Firmansyah; Yudhi Raymond Ramadhan; Candra Dewi Lestari
Jurnal Riset Sistem Informasi Vol. 2 No. 3 (2025): Juli : Jurnal Riset Sistem Informasi
Publisher : CV. Denasya Smart Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69714/70gd7651

Abstract

PT. Indo-Rama Synthetics Tbk is a company that manufactures Polyester Filament Yarns, “Polyester Stapel Fibers Pet Resin:, Polyester Chips and Polyester Filament Fabrics, where the company started commercial production in 1976 with a cotton spinning factory in Purwakarta which has around ± 1000 employees with various departments and positions. However, the leave application system is still manual. Where employees must make a written leave application and follow several processes that must be carried out. The design and development of the employee leave system uses the rapid application development software development method with stages (requirements planning, user design, construction and cutover), the design uses a unified modeling language (UML) with 4 (four) diagrams, namely use case diagrams, activity diagrams, sequence diagrams and class diagrams, program coding using the PHP framework Codeigniter. The results achieved from this study are an employee leave system for employees by providing several existing features including employee information, submission of leave for employees, and other menus. With the web and mobile based system,  it is hoped that it will make it easier for employees to apply for leave.
Sentiment Analysis of Telemedicine Applications on Twitter Using Lexicon-Based and Naive Bayes Classifier Methods Hasan, Arid; Ramadhan, Yudhi Raymond; Minarto, Minarto
Jurnal Riset Informatika Vol. 5 No. 4 (2023): September 2023
Publisher : Kresnamedia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (751.857 KB) | DOI: 10.34288/jri.v5i4.244

Abstract

Since the onset of the COVID-19 pandemic in Indonesia, many people have turned to telemedicine programs as an alternative to minimize social interactions, opting for consultations from the safety of their homes using smartphones and internet connectivity. Given the necessity for physical distancing and avoiding crowded places, these applications have become indispensable substitutes for in-person medical consultations. Numerous apps facilitating access to healthcare services have been introduced in Indonesia, ranging from business startups to initiatives by the Ministry of Health. Telemedicine can potentially revolutionize healthcare in Indonesia, addressing critical health challenges. A significant issue within Indonesia's healthcare system is the scarcity of doctors and their uneven distribution. With only four doctors per 10,000 people, this figure falls far below the WHO guideline of 10 doctors per 1,000. Sentiment analysis of these applications was conducted to evaluate how telemedicine applications meet public needs and offer an alternative solution. Lexicon-based and naive Bayes methods were employed to classify tweet data into positive, neutral, and negative sentiments. The results revealed 908 positive tweets, 172 negative tweets, and 168 neutral tweets, indicating predominantly positive public perceptions of telemedicine applications. The naive Bayes classifier exhibited a 74% accuracy rate, with a precision of 98% and a recall of 86%. These findings underscore the positive impact and acceptance of telemedicine applications among the Indonesian populace, emphasizing their significance in augmenting the nation's healthcare landscape.
RANCANG BANGUN APLIKASI RESEP CAKE AND BEVERAGE DENGAN API GEMINI BERBASIS MOBILE Insan, Arul; Ramadhan, Yudhi Raymond; Lestari, Chandra Dewi
Jurnal Teknologi Terpadu Vol 13, No 2 (2025): JTT (Jurnal Terpadu Terpadu)
Publisher : Pusat Penelitian dan Pengabdian Kepada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32487/jtt.v13i2.2649

Abstract

Perkembangan teknologi yang begitu pesat menjadikan aplikasi mobile sebagai bagian penting dalam aktivitas sehari-hari. Selain itu perkembangan AI juga menjadi suatu kemajuan dalam menunjukkan sebuah potensi yang begitu signifikan dalam meningkatkan operasional dan pengalaman  pengguna aplikasi mobile. Dengan perkembangan tersebut media informasi seperti resep kuliner juga semakin banyak meskipun aplikasi resep begitu banyak pengguna seringkali kesulitan menemukan resep yang spesifik sehingga harus mencari resep di sumber lain. Penelitian ini bertujuan untuk merancang dan membangun aplikasi resep yang lebih spesifik pada kategori cake and beverage dengan memanfaatkan teknologi kecerdasan buatan melalui integrasi API Gemini berbasis mobile metode penelitian ini menggunakan Research and Development (R&D) dengan model pengembagan perangkat lunak Waterfall. Aplikasi ini di bangun menggunakan framework Flutter dengan bahasa pemrograman Dart. Untuk penyimpanan lokal pada aplikasi menggunakan penyimpanan SQLite. Pengujian fungsionalittas aplikasi dilakukan dengan metode Blackbox Testing untuk memastikan setiap fitur berupa input dan output berjalan sesuai harapan. Hasil dari penelitian ini aplikasi mobile berhasil mengimplementasikan API Gemini untuk menghasilkan resep cake and beverage secara otomatis. Aplikasi ini mampu memberikan resep berdasarkan input berupa gambar yang diambil dari kamera maupun galeri, serta berdasakran kategori bahan yang dipilih oleh pengguna.
Co-Authors Anwar , Imam Khaerul Arif Ramdhani Budiharto, Sigit Candra Dewi Lestari Candra Dewi Lestari Dadi Iskandar Dede Irmayanti Dewi, Shintia Kemala Fathan Naufal Rosidin Hasan, Arid Hermanto, Teguh Iman Imam Maruf Nugroho Imam Ma’ruf Nugroho Insan, Arul Irsan Jaelani Jaelani, Irsan Johanes Florensius Sianipar Lestari, Chandra Dewi Minarto ., Minarto Muhammad Adhitya Dhita Pratama Muhammad Reza Mahendra Muhyidin, Yusuf Mutiara Andayani Komara Nenden Legiawati Nugroho , Imam Maruf Nugroho, Imam Maruf Resmi, Mochzen Gito Rifaldi, Muhamad Ilmar Rintho Rante Rerung Risa Nabilah Firmansyah Sanggir Dyah Fritama Syakir, Yusuf T, Moch. Hafid Teguh Iman Hermanto Widianto, Iqbar Sajidan Youky Arie Sandi Youky Arie Sandi