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Evaluasi User Interface Website Prodi Teknik Informatika UNRI Menggunakan User Experience Questionnaire (UEQ) Edi Susilo; Rahmat Rizal Andhi; Dian Ramadhani
Infotek: Jurnal Informatika dan Teknologi Vol 5, No 2 (2022): Infotek : Jurnal Informatika dan Teknologi
Publisher : Fakultas Teknik Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (711.929 KB) | DOI: 10.29408/jit.v5i2.5939

Abstract

The current website of Informatics Programme at Riau University is being redesign. This process need to be done because the past design had a few shortcomings, such as not being responsive and less attactive to user, in term of UI. To figure out weather the new design meets the UX aspects, it is necessary to make an evaluation. This research does that evaluation about current website User Interface (UI) using UEQ. UEQ,as for today, is consider a fast and simple tools to test UX aspects of certain website.  The UEQ will be distributed to 50 respondents which is Informatics Programme’s student. This respondent consist of 25 men and 25 women. Respondent data was analyzed using UEQ Data Analysis Tools. The result was 4 aspects which is consider good, such as attractiveness, efficiency, dependability and stimulation. There was 1 aspect which score above average, namely perspicuity. One last aspect was score below average, which is novelty. From this research result, in general the UI design and UX aspects of this website is consider good. However, to reach maximum performance some adjustment need to be done. Especially from the perspicuity ascpect. The developer need to clarify the way to use this website. The approach can be taken from general web design principal. As for novelty aspects, improvement need to be done to its content with creative and inovatif idea. This will bring unique value for informatics programme website compare to another sites.
An Information System for Converting of ’Merdeka Belajar Kampus Merdeka’ Programs Dian Ramadhani; Al Aminuddin; Yanti Andriyani; Evfi Mahdiyah; Riki Ario Nugroho
Journal of Information System Research (JOSH) Vol 4 No 2 (2023): January 2023
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v4i2.2320

Abstract

Merdeka Belajar Kampus Merdeka (MBKM) program enables universities to convert independently the programs into department courses hence those can be considered as its course credits. MBKM program guideline requires universities, specifically departments, to carefully convert MBKM program since they have to consider Program Learning Outcomes (PLO) and relevancy of courses in the conversion process. To follow the guideline, departments must explore learning outcomes of each courses and learning outcome of the programs. The job is certainly time and resource consuming. Therefore it needs to be supported by a reliable strategy and system to manage efficiently and effectively relational data between MBKM program, PLO and courses. Through these data, departments then enable to identify quickly related courses with those programs. This paper introduces a model to represent the conversion strategy. We then developed in-house application called e-OBE to implement the model to enable the departments to map PLO, MBKM program and course data efficiently and effectively. The mapping data can be used to retrieve department courses quickly in which their PLO are linked with MBKM program PLO. Finally, a recommendation based on text similarity from courses and MBKM program can be generated automatically to support department decision in the conversion process.
ANALISIS PENERAPAN AKUNTANSI PADA TOKO OLEH-OLEH MAKANAN KHAS RIAU DI PEKANBARU Dian Saputra; Dian Tri Ramadhani
Journal Of Islamic Finance And Accounting Research Vol. 1 No. 2 AGUSTUS (2022): JAFAR 2022
Publisher : UIR Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25299/jafar.2022.8786

Abstract

The study was conducted in the city of Pekanbaru. With regard to this research, the object is a souvenir entrepreneur typical of Riau food (oleh-oleh makanan khas Riau). The problem raised in this study is how the application of accounting carried out by riau food souvenirs in Pekanbaru and its conformity with basic concepts and accounting principles. The purpose of this research is to find out the suitability of the application of accounting carried out by riau food souvenirs in Pekanbaru with basic concepts and accounting principles. There are two types of data used in this study, Primary and Secondary data. The methods of data collection in this study are structured interviews, documentation and observations. While the data analysis technique used is Descriptive analysis. Based on the results of research and discussion that has been outlined, the application of accounting in riau food souvenirs in Pekanbaru has not been in accordance with basic concepts and accounting principles.
Analisa Algoritma Naïve Bayes Classifier (NBC) Untuk Prediksi Penjualan Alat Kesehatan : Naïve Bayes Classifier (NBC) Algorithm Analysis for Prediction Medical Device Sales Ramadhani, Dian; A’yuniyah, Qurotul; Elvira, Winda; Nazira, Nanda; Ambarani, Isnani; Intan, Sofia Fulvi
Indonesian Journal of Informatic Research and Software Engineering (IJIRSE) Vol. 3 No. 2 (2023): Indonesian Journal of Informatic Research and Software Engineering
Publisher : Institut Riset dan Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57152/ijirse.v3i2.941

Abstract

The application of Data Mining in the business scope can be found in the use of Customer Relationship Management (CRM). CRM is a company's effort to manage its sales and customers more optimally. Company Sales Data can be processed into knowledge that can be used to optimize marketing strategies. Purna Karya Scientific is a company engaged in the field of medical/medical devices, laboratory equipment, chemical and dental materials as well as educational aids. In this study has used sales data at PT. After Scientific Work with attributes item code, relation, number of items, and label as class. Then classify medical device sales data by implementing the Naïve Bayes Classifier (NBC) algorithm which can predict sales results by displaying an accuracy value. Implementation was carried out using Google Colab to obtain an accuracy value of 95%, a recall value of 95%, and a precision value of 81%. The results of data on sales of medical devices with 2 classes namely "Selling" and "Not Selling". The resulting value is very good and can be used as a basis for classifying sales of medical devices by analyzing the stock of goods at PT. Full Scientific Work.
Optimization of Feminacare Chatbot Application Using SeaLLM Model Qoniah, Nurul Nyi; Ramadhani, Dian
Indonesian Journal of Informatic Research and Software Engineering (IJIRSE) Vol. 5 No. 1 (2025): Indonesian Journal of Informatic Research and Software Engineering (IJIRSE)
Publisher : Institut Riset dan Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57152/ijirse.v5i1.2043

Abstract

Feminacare, a women's health consultation application with a chatbot, previously used the LSTM model, which had an accuracy of 61% but often gave less relevant responses. This research proposes the use of the SeaLLM model with the Retrieval-Augmented Generation (RAG) approach to improve the accuracy of the chatbot. Based on three trials in the evaluation of 120 questions, the chatbot obtained a mean accuracy of 87%, with a precision of 93%, recall of 89%, and F1-score of 91%. Compared to previous models, this approach produced more relevant and accurate responses. Overall, this research proves that the application of SeaLLM with RAG can improve the effectiveness of chatbots in providing women's health information. However, further improvements are still needed, especially in handling more complex questions by expanding the dataset.
Design and Development of a Makeup Artist Data Management Application : Design and Development of a Makeup Artist Data Management Application Ramadhani, Dian; Anisa, Rahmi
Indonesian Journal of Informatic Research and Software Engineering (IJIRSE) Vol. 5 No. 2 (2025): Indonesian Journal of Informatic Research and Software Engineering (IJIRSE)
Publisher : Institut Riset dan Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57152/ijirse.v5i2.2293

Abstract

The growing beauty industry requires efficient management tools for Makeup Artist (MUA) teams, who often face operational challenges due to the use of manual or non-integrated digital tools. This study contributes by providing an integrated, mobile-first workflow that directly links bookings, schedules, and financial records with role-based access and automated reminders, reducing fragmentation from manual or separate tools and offering consolidated insights for MUAs’ decision-making. The application's quality was validated through Black-Box testing, achieving a 100% success rate across 35 functional test cases that covered all main features. Usability was then evaluated in a case study with a professional MUA and two team members (N=3) who used the application for one week before completing the Computer System Usability Questionnaire (CSUQ). The results yielded an overall mean score of 6.52 out of 7, indicating very high user satisfaction, with subscale scores showing that users found the system both helpful and easy to navigate. Future development may include expanding the dashboard's analytical capabilities or integrating a direct client payment gateway.