Article Per Year (5 Year)
p-Index From 2021 - 2026
0.61
P-Index
This Author published in this journals
All Journal Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer) Jurnal Ilmu Komputer dan Sistem Informasi JKTi - Jurnal Keilmuan Teknologi Informasi
Adika Sri Widagdo
Universitas Muhammadiyah Klaten
Computer Science & IT Decision Sciences, Operations Research & Management Library & Information Science

Published : 3 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 3 Documents
Search

 1 
Analisis sentimen terhadap pelayanan Kesehatan berdasarkan ulasan Google Maps menggunakan BERT Ardiansyah; Adika Sri Widagdo; Krisna Nuresa Qodri; Fachruddin Edi Nugroho Saputro; Nisrina Akbar Rizky P
JURNAL FASILKOM Vol 13 No 02 (2023): Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer)
Publisher : Unversitas Muhammadiyah Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37859/jf.v13i02.5170

Abstract

The utilization of technology has developed in various scientific fields, without exception in health. Hospitals, health centers, and clinics are part of the health sector. Thus, it must evolve according to health service standards and patient measures or service user satisfaction that needs to be measured using sentiment analysis. The Media to give opinions to Health service providers is Google Maps. However, the anomaly is that the reviews and the given text are sometimes not correlated. Thus, The utilization of sentiment analysis using the scientific branch of artificial intelligence, namely Natural Language Processing (NLP), is an effective way to infer opinions. The research concluded that the BERT indobenchmark/indobert-base-p1 model has good performance to use of Indonesian text classification with a dataset of 4228 data after preprocessing, which at the beginning of the collection process obtained data as much as 4748 data. Split datasets into 3 data, namely training, validation, and test data, with a ratio of 70:30:30. The experimental results, The researchers found that the model allows the use of the model with other Indonesian texts. The results are 0.85 for accuracy and weighted avg, and macro avg 0.75 on the validation data training process. While the testing data training process is 0.86 for accuracy and weighted avg, the macro avg 0.73. In addition, researchers found that services are the most frequent topic in Health Services. Even though health services have improved, positive sentiment is the highest compared to other sentiment classes.
Implementasi Metode Goal-Directed Design Dalam Perancangan Antarmuka Website MDMC Kabupaten Klaten Berbasis Kebutuhan Pengguna Adika Sri Widagdo; Fachruddin Edi Nugroho Saputro; Krisna Nuresa Qodri; Nisrina Akbar Rizky Putri; Rizal Adimas Ronaldo
Jurnal Ilmu Komputer dan Sistem Informasi Vol. 5 No. 2 (2025): Mei 2026
Publisher : LKP Unity Academy

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70340/jirsi.v5i2.355

Abstract

This research is driven by the need for structured information media, specifically a website, to support disaster response reporting at MDMC Klaten Regency. Previously, information remained fragmented on social media, necessitating a more comprehensive platform. This study aims to design the MDMC Klaten Regency website interface based on user needs to ensure effective information delivery. The method employed is Goal-Directed Design (GDD), consisting of Research, Modeling, Requirement, Framework, Refinement, and Support stages. Data were collected through observations, interviews, and document studies, then transformed into Volunteer and General Public personas. The result is a website interface prototype featuring report publication workflows and location mapping visualization as primary features. Usability evaluation using the System Usability Scale (SUS) instrument with 59 respondents yielded an average score of 87.97. These results place the system in the "Acceptable" category with a "Grade A" rating and an "Excellent" Adjective Rating. In conclusion, the GDD approach is effective in producing interface designs aligned with user goals, characterized by high levels of navigation ease and information clarity. This study recommends further development of map interactivity to continuously optimize the user experience.
Analisis Usability Antarmuka e-learning Menggunakan Metode System Usability Scale Pada Universitas Swasta Adika Sri Widagdo; Sintia Darma Pamuja
JKTI Jurnal Keilmuan Teknologi Informasi Vol 1 No 2 (2025)
Publisher : Universitas Muhammadiyah Klaten

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61902/jkti.v1i2.2286

Abstract

Online learning systems, or e-learning, have become a crucial infrastructure in higher education, enabling a better learning process. However, their success depends heavily on the usability of the interface presented to students. This study aims to evaluate the usability of the e-learning system interface at a private university to identify barriers to user interaction and provide recommendations for improvement. The evaluation was conducted using the System Usability Scale (SUS) method as a standard and reliable quantitative measurement instrument. This study involved 45 student respondents selected using purposive sampling techniques to complete the SUS questionnaire consisting of 10 statements. The results showed that the average SUS score obtained was 68.2. Based on the SUS score interpretation criteria, this value places the system in the Acceptable category based on the acceptability ranges, receiving a Grade C predicate on the grade scale, and is in the Good category based on the adjective rating. Although the system is considered suitable for use, the score position that is at the marginal threshold indicates a need for optimization in the navigation aspect and the consistency of visual elements. These findings recommend simplifying the flow of material access and improving the layout of key features to increase efficiency and user satisfaction as a reference for improvements to improve the digital learning ecosystem in the future at the university.
Co-Authors Ardiansyah Ardiansyah Fachruddin Edi Nugroho Saputro Krisna Nuresa Qodri Krisna Nuresa Qodri Nisrina Akbar Rizky Putri Rizal Adimas Ronaldo Sintia Darma Pamuja