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OPTIMALISASI PELATIHAN SAINS INFORMATIKA/KOMPUTER DENGAN BLENDED E-LEARNING UNTUK PERSIAPAN UTBK PADA SMA BATIK Basiroh, Basiroh; Sudaryanto, Aninditawidagda Pandam; Rahmadzani, Rifqi Fauzi
WIDHARMA - Jurnal Pengabdian Widya Dharma Vol. 4 No. 02 (2025): Agustus 2025
Publisher : LPPM Universitas Widya Dharma Klaten

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54840/widharma.v4i02.346

Abstract

Intensive training in preparation for the Computer-Based Written Exam (UTBK) is a strategic need to support the success of students entering higher education. One of the increasingly relevant and challenging fields is Informatics/Computer Science, which requires mastery of algorithmic concepts, programming, and computational logic. However, conventional training methods are often unable to answer the dynamics of flexible, effective, and broad-reaching learning needs. Therefore, the Blended E-Learning approach—a combination of online and face-to-face learning—is needed to optimize the training process. This objective is to design a Blended E-Learning-based training model that is adaptive, structured, and oriented towards achieving UTBK competencies in Informatics. The methodology used includes analyzing participant needs, designing curriculum, developing digital learning media, and implementing learning outcome evaluations. The results of the study show that the Blended E-Learning approach is able to increase student engagement, strengthen mastery of the material, and provide a more flexible and efficient learning space. With systematic implementation and appropriate technological support, this training model is expected to be a strategic alternative in improving students' academic readiness and expanding access to quality education in the field of Informatics/Computers.
Comparison of Naive Bayes and Support Vector Machine (SVM) Methods in Female Daily Skincare Sentiment Analysis: Perbandingan Metode Naive Bayes dan Support Vector Machine (SVM) dalam Analisis Sentimen Skincare Female Daily Rahmadzani, Rifqi Fauzi; Pratiwi, Riszki Wijayatun; Paradita, Astrid Noviana
RADIANT: Journal of Applied, Social, and Education Studies Vol. 6 No. 2 (2025): RADIANT: Journal of Applied, Social, and Education Studies
Publisher : Politeknik Harapan Bangsa Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52187/rdt.v6i2.316

Abstract

The development of the beauty industry in Indonesia has increased significantly, along with the high participation of consumers in providing online reviews, especially through the Female Daily platform. These reviews contain opinions that can be analyzed to determine consumer sentiment towards a product. This study seeks to perform sentiment analysis on beauty product reviews by applying two text classification techniques: Support Vector Machine (SVM) and Naive Bayes. The research stages include collecting review data from Female Daily, text preprocessing (such as tokenization, stemming, and stopword removal), and sentiment classification into two categories, namely Yes and No. The evaluation results indicate that the SVM method outperforms Naive Bayes, achieving a higher level of accuracy. SVM is able to capture more complex patterns in text data, while Naive Bayes tends to produce lower performance due to the assumption of independence between features. The evaluation results demonstrate that the SVM method performs better than Naive Bayes, achieving higher accuracy scores. SVM excels at recognizing more intricate patterns in textual data, whereas Naive Bayes often shows lower performance due to its assumption of feature independence. Overall, the majority of user reviews are positive, reflecting satisfaction with certain beauty products. This study shows that the SVM method is more recommended for text-based sentiment analysis of reviews in the beauty industry, especially in the context of diverse and unstructured consumer review data. As for the accuracy results of the Naive Bayes method is 80% and the accuracy results of the SVM method is 87%.
Study In The Relationship Among Price, Rating, Popularity, And Size Multimedia Application In Play Store: Studi tentang Hubungan antara Harga, Rating, Popularitas, dan Ukuran Aplikasi Multimedia di Play Store Sudaryanto, Aninditawidagda Pandam; Basiroh, Basiroh; Rahmadzani, Rifqi Fauzi
RADIANT: Journal of Applied, Social, and Education Studies Vol. 6 No. 3 (2025): RADIANT: Journal of Applied, Social, and Education Studies
Publisher : Politeknik Harapan Bangsa Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52187/rdt.v6i3.329

Abstract

Abstrak This study examines the relationship between price, rating, popularity (number of downloads), number of features, and the size of multimedia applications on the Google Play Store. These factors are important as they influence each other and affect the appeal and success of applications in the digital marketplace. Applications that are too large in size may hinder the download process, while an unbalanced number of features can reduce user convenience. This research employs web scraping techniques to collect data from the Google Play Store, which are then analyzed using Spearman and Pearson correlation tests. The results indicate that for paid applications, only size and the number of features have a significant correlation. Meanwhile, for free applications, size is significantly correlated with the number of downloads, ratings, and number of features. Application size and rating show a moderately strong relationship, with Spearman and Pearson coefficients of -0.302 and -0.277, respectively. These findings highlight the importance of balancing size, features, and user perception in formulating application development strategies. This study contributes to developers and researchers by providing insights into the dynamics of application attributes that influence user acceptance and supports more informed decision-making in digital application development.
Pengembangan Website Fakultas Teknik Universitas Batik Surakarta Dengan Menggunakan Prinsip User-Centered Design (UCD) Rahmadzani, Rifqi Fauzi; Pratiwi, Riszki Wijayatun; Supriyanto, Supriyanto; Pantjarani, Ari
Indonesian Journal of Information Technology and Computing (IMAGING) Vol 4, No 2 (2024): 31 Desember 2024
Publisher : Politeknik Harapan Bangsa Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52187/img.v4i2.317

Abstract

Website merupakan alat yang penting dalam menyampaikan informasi secara cepat, akurat, dan mudah diakses oleh berbagai kalangan masyarakat, termasuk dalam lingkungan perguruan tinggi. Website yang user-friendly dapat mempermudah penyampaian informasi akademik, administratif, serta kegiatan kampus kepada mahasiswa, dosen, dan pihak terkait lainnya. Fakultas Teknik Universitas Batik Surakarta (FT UNIBA), sebagai salah satu fakultas yang berperan dalam pengembangan pendidikan di bidang teknik, memerlukan website yang tidak hanya menyediakan informasi yang relevan, tetapi juga memberikan pengalaman pengguna yang optimal. Penelitian ini mengidentifikasi tantangan yang dihadapi oleh mahasiswa dan masyarakat dalam mencari informasi yang akurat terkait fasilitas dan informasi seputar FT UNIBA, yang seringkali kurang mutakhir dan akurat. Meskipun perkembangan teknologi memudahkan pencarian informasi melalui internet, seringkali informasi yang ditemukan tidak memenuhi kebutuhan pengguna. Dengan mempertimbangkan statistik nasional yang menunjukkan bahwa sekitar 70% penduduk Indonesia sudah mengenal sistem informasi berbasis website, pengembangan website FT UNIBA perlu mengusung prinsip User-Centered Design (UCD). UCD adalah pendekatan desain yang berfokus pada kebutuhan, keinginan, dan keterbatasan pengguna untuk menciptakan antarmuka yang mudah digunakan dan intuitif. Dengan penerapan UCD, diharapkan website FT UNIBA dapat meningkatkan kenyamanan pengguna dalam mengakses informasi yang disediakan.
Pelatihan Desain Packaging Produk UMKM Guna Menigkatkan Minat Beli Di Era Digitalisasi Desa Wonorejo Kecamatan Polokarto Kabupaten Sukoharjo Rahmadzani, Rifqi Fauzi; Basiroh, Basiroh; Supriyanto, Supriyanto
Jompa Abdi: Jurnal Pengabdian Masyarakat Vol. 3 No. 2 (2024): Jompa Abdi: Jurnal Pengabdian Masyarakat
Publisher : Yayasan Jompa Research and Development

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57218/jompaabdi.v3i2.1066

Abstract

Desa Wonorejo terletak di Kecamatan Polokarto Kabupaten Sukoharjo terdiri dari 3 kebayanan, 6 RW, 31 RT, dengan jumlah penduduk sebanyak 6.590 jiwa perbulan Desember 2023, jumlah laki-laki sebanyak 3.292 jiwa dan perempuan sebanyak 3.298 jiwa, dengan jumlah KK sebanyak 1.936 KK. Desa Wonorejo merupakan salah satu Desa yang berpotensi menjadi Desa Cerdas yang ada di Kabupaten Sukoharjo karena memiliki banyak varian Home Industri, UMKM, Layanan Pendidikan Formal dan Non Formal, dan Pelayanan Administrasi Pemerintahan yang baik. Untuk itu Ruang Komunitas Digital Desa Wonorejo ingin melaksanakan program Desa Cerdas yang fokus pada enam pilar yaitu Masyarakat Cerdas (smart people), Mobilitas cerdas (smart mobility), Ekonomi cerdas (smart economic), Pemerintahan Cerdas (smart government), Pola Hidup Cerdas (smart living), Lingkungan Cerdas (smart environment) Partisipatif Desa Cerdas dengan melibatkan masyarakat yang nantinya akan menjadi bahan perencanaan pembangunan Desa Cerdas sehingga meningkatkan literasi digital. Literasi digital menjadi dasar untuk mendukung seluruh pilar Desa Cerdas. Kegiatan pelatihan dalam digitalisasi tersebut bertujuan untuk mengembangkan kemampuan masyarakat lebih kreatif, inovatif, dan bermanfaat bagi kemajuan desa.