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All Journal Jatilima : Jurnal Multimedia Dan Teknologi Informasi Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer) Duta Abdimas: Jurnal Pengabdian Masyarakat JKTi - Jurnal Keilmuan Teknologi Informasi
Sri Widagdo, Adika
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Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Law, Crime, Criminology & Criminal Justice Public Health Social Sciences

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UI/UX Prototype Design of Employee Presence Application Using Design Thinking Sri Widagdo, Adika; Sapurtro , Fachruddin Edi Nugroho; Qodri, Krisna Nuresa; Ronaldo, Rizal Adimas
Jurnal Multimedia dan Teknologi Informasi (Jatilima) Vol. 7 No. 02 (2025): Jatilima : Jurnal Multimedia Dan Teknologi Informasi
Publisher : Cattleya Darmaya Fortuna

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54209/jatilima.v7i02.1220

Abstract

Employee Presence management is a crucial aspect of organizational productivity. However, manual Presence systems often result in inefficiencies, requiring alternative technological solutions. This study aims to design a UI/UX prototype for a mobile-based Presence application at Universitas Muhammadiyah Klaten using the Design Thinking approach. The research follows five stages: Empathize, Define, Ideate, Prototype, and Test. Data collection involved surveys and interviews with 62 respondents, including lecturers, staff, and education personnel. The prototype was evaluated using the System Usability Scale (SUS), resulting in a usability score of 76.6% in the "Good" category. The findings indicate that the proposed design effectively addresses the limitations of manual presence systems, enhancing user experience and efficiency. Future improvements include additional features such as a "forgot password" option, different presence button and broader usability testing. This study suggests that a well-designed presence application can streamline presence recording and improve operational effectiveness.
Implementasi Deteksi Tumor Otak Menggunakan YOLOv11 dan Flask Ardiansyah, Ardiansyah; Sri Widagdo, Adika; Nuresa Qodri, Krisna; Hidayani, Diesti; Romadhani, Mustofa
JURNAL FASILKOM Vol. 15 No. 2 (2025): 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.v15i2.9703

Abstract

Kecerdasan buatan (AI) telah mengalami kemajuan yang sangat signifikan untuk membantu kehidupan masyarakat salah satunya adalah bidang kesehatan. Kemajuan AI didorong karena banyaknya kesalahan yang diakibatkan beberapa faktor fundamental dan tingginya permintaan dari masyarakat terhadap layanan kesehatan terus meningkat. AI juga mampu meminimalkan kesalahan diagnosa maupun pengobatan dalam praktik klinis pasien seperti deteksi tumor otak. Algoritma YOLO yang sering digunakan untuk deteksi objek karena akurasi yang tinggi. YOLO juga dapat digunakan untuk real-time diagnosa menjadi nilai tambah pada algoritma tersebut. YOLOv11 merupakan algoritma terbaru dan memiliki performa yang lebih baik dibandingkan seri sebelumnya. Meskipun begitu, tantangan terhadap keterbatasan dataset menjadi salah satu permasalahan yang perlu diselesaikan. Penelitian yang dilakukan memiliki tujuan yaitu meningkatkan jumlah dataset citra medis menggunakan Data Augmentasi dan mengintegrasikan algoritma YOLO dengan Flask untuk memberikan tampilan yang lebih baik kepada pengguna. Penelitian yang dilakukan menggunakan Data Augmentasi pada dataset menggunakan teknik Flip (Horizontal dan Vertical), 90° Rotate (Clockwise, Counter-Clockwise, Upside Down), serta penambahan Noise: Up to 1.5% of pixels. Hasilnya, diperoleh F1-score 0.951 dari 4 kelas (0.902 Glioma, 0.989 Meningioma, 0.915 Pituitary, dan 0.997 No tumor). Sehingga terbukti efektif mengatasi keterbatasan data. Selanjutnya, Integrasi YOLO dengan Flask dapat memberikan tampilan deteksi objek yang lebih baik tanpa menurunkan skor dari hasil deteksi objek tumor otak, sehingga Flask dapat dijadikan framework yang dipertimbangkan untuk pengembangan interface machine learning
Pelatihan Pemanfaatan Media Informasi Dalam Pelayanan Informasi Obat Kepada Masyarakat Di SMK Muhammadiyah 1 Prambanan Nurhaini, Rahmi; Sri Widagdo, Adika; Edi Nugroho Saputro, Fachruddin; Nuresa Qodri, Krisna; Kumalasari, Puput; Pandu Cahyadi, Fian
Duta Abdimas Vol. 2 No. 2 (2023): Duta Abdimas: Jurnal Pengabdian Masyarakat
Publisher : LPPM Universitas Duta Bangsa Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47701/abdimas.v2i2.2806

Abstract

SMK Muhammadiyah 1 Prambanan merupakan salah satu amal usaha muhammadiyah yang bergerak dibidang pendidikan dan salah satu peminatannya adalah bidang Farmasi Klinis dan Komunitas. Sebagai calon farmasis dibidang pelayanan farmasi klinis dan komunitas, siswa diharuskan memiliki pemahaman tentang edukasi pelayanan informasi obat serta pemanfaatan media guna meningkatkan kualitas edukasi dan pemahaman pasien. Salah satu upaya dalam menjamin kompetensi keahlian siswa pada peminatan tersebut, adalah salah satunya dengan Ujian Kompetensi Keahlian (UKK). Salah satu mata uji pada program keahlian tersebut adalah promosi kesehatan atau desain kemasan produk yang sesuai dengan pangsa pasar. Meskipun demikian terdapat beberapa kendala dari siswa yang dihadapi, yaitu masih terbatasnya pelatihan pelayanan informasi obat, masih minimnya pemanfaatan media digital dalam proses pelayanan informasi obat, dan hanya beberapa bagian dari power point yang diajarkan dan belum ada pemanfaatan media lain selain power point yang pernah diajarkan guna memberikan Pelayanan Informasi Obat (PIO). Solusi yang ditawarkan pada pengabdian ini adalah pelatihan tentang macam-macam edukasi untuk meningkatkan pelayanan kefarmasian, pelatihan pemanfaatan media edukasi seperti Microsoft PowerPoint, brosur guna mendukung pelayanan informasi obat dan pendampingan pembuatan media edukasi kepada siswa. Hasil dari kegiatan ini adalah para siswa mengetahui arti penting edukasi terhadap peningkatan pengetahuan tentang kesehatan dan pengobatan, bisa membuat perencanaan edukasi kesehatan dan obat kepada kelompok masyarakat serta mengetahui media edukasi yang sesuai dengan kelompok masyarakat, mengetahui penggunaan aplikasi grafis dan power point lebih mendalam sehingga dapat diterapkan pada produk farmasi, cukup terampil pada proses pembuatan logo sederhana dan berkas presentasi.
Analisis Sentimen Mobil Listrik di Indonesia Menggunakan Long-Short Term Memory (LSTM) Sri Widagdo, Adika; Ardiansyah; Krisna Nuresa Qodri; Fachruddin Edi Nugroho Saputro; Nisrina Akbar Rizky Putri
JURNAL FASILKOM Vol. 13 No. 3 (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.v13i3.6303

Abstract

Vehicles using fuel oil that is converted into mechanical energy were introduced in 1891 by John W. Lambert in America. But with this, the level of air pollution caused by exhaust emissions has become a problem today, until environmentally friendly engine innovations appear. The beginning of the development of these innovations was marked by hybrid technology cars. This technology has not completely abandoned the use of oil as fuel. In general, these vehicles are known as HEV or Hybrid Electic Vehicles. Then came a car that was entirely with an electric motor drive or EV or Electric Vehicle. Although the technology is considered environmentally friendly, on the other hand it does not make all elements of society accept any changes, especially in fuel oil engines to electric motors. With these changes, there are pros and cons that are the focus of researchers by utilizing sentiment analysis which is a Natural Language Processing (NLP) scientific family to analyze what aspects make society pro or con to the emergence of environmentally friendly vehicles. Data collection in this study took from YouTube comments in the form of Indonesian text data carried out using Python programming language and Long-Short Term Memory (LSTM) as an algorithm for analyzing public opinion. The dataset was divided into training data and test data with a ratio of 67:33, The results showed that the model can be used on Indonesian text data well. Then for the process of accuracy test data 63%, then macro avg precision 62%, macro avg recall 60%, macro avg f1-score 60%, weighted avg precision 62%, weighted avg recall 63%, weighted avg f1-score 62%, roc_auc 81%. In this study, it can also be seen that the topic of discussion that often arises, namely prices in all classes. However, negative sentiment is more than other sentiment classes, one of which is due to electric car manufacturers so it is very necessary to pay attention to stakeholders regarding prices that are suitable for the Indonesian market.
Analisis Usability Antarmuka e-learning Menggunakan Metode System Usability Scale Pada Universitas Swasta Sri Widagdo, Adika; Pamuja, Sintia Darma
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 Ardiansyah Edi Nugroho Saputro, Fachruddin Fachruddin Edi Nugroho Saputro Hidayani, Diesti Krisna Nuresa Qodri Kumalasari, Puput Nisrina Akbar Rizky Putri Pamuja, Sintia Darma Pandu Cahyadi, Fian Rahmi Nurhaini, Rahmi Romadhani, Mustofa Ronaldo, Rizal Adimas Sapurtro , Fachruddin Edi Nugroho