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Frederik Samuel Papilaya
Universitas Kristen Satya Wacana
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Astronomy Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Library & Information Science Mechanical Engineering Physics Public Health Social Sciences Transportation Other

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Implementasi Pemodelan Topik BERTopic dan Analisis Sentimen BERT terhadap Ulasan Aplikasi Satusehat Berbasis Natural Language Processing Lanjutan Anggiyanti, Jennieta Neysa; Papilaya, Frederik Samuel
JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Vol 11, No 1 (2026)
Publisher : STKIP PGRI Tulungagung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29100/jipi.v11i1.7633

Abstract

Aplikasi PeduliLindungi yang berubah menjadi Aplikasi SATUSEHAT, terus memiliki perkembangan fitur sebagai penyedia layanan kesehatan digital. Faktor utama aplikasi digunakan kembali yaitu adanya program pemerintah yaitu pemeriksaan kesehatan gratis tahunan. Penelitian ini bertujuan untuk menganalisis respons pengguna terhadap Aplikasi SATUSEHAT menggunakan BERT untuk analisis sentimen dan BERTopic untuk pemodelan topik berbasis NLP lanjutan. Analisis sentimen menggunakan BERT berfungsi untuk menganalisis kecenderungan sentimen positif dan negatif terhadap ulasan aplikasi, sedangkan BERTopic untuk untuk mengelompokkan dan mengidentifikasi topik pada ulasan pengguna. Hasil penelitian analisis sentimen dengan tingkat akurasi sebesar 95%, menunjukkan bahwa opini pengguna cenderung negatif yang berpusat pada topik kebergunaan dan aksesibilitas aplikasi berdasarkan hasil analisis pemodelan topik dengan nilai koherensi sebesar 0,6101. Pengalaman pengguna yang kurang optimal menandakan bahwa perlu adanya perbaikan dan peningkatan kualitas layanan pada Aplikasi SATUSEHAT. Selain itu, penelitian ini menunjukkan bahwa adanya efektivitas integrasi analisis sentimen menggunakan BERT dengan pemodelan topik menggunakan BERTopic dalam proses evaluasi respons masyarakat terhadap kebijakan teknologi di sektor kesehatan.
Evaluasi pengelolaan layanan TI Aplikasi SRIKANDI menggunakan Framework ITIL V3 pada Dinas Perhubungan Kota Salatiga Febrianti, Wenny Elisa; Papilaya, Frederik Samuel
Hexatech: Jurnal Ilmiah Teknik Vol. 5 No. 1 (2026): Hexatech: Jurnal Ilmiah Teknik (In Press)
Publisher : ARKA INSTITUTE

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55904/hexatech.v5i1.2208

Abstract

SRIKANDI merupakan aplikasi kearsipan elektronik milik pemerintah sebagai satu inovasi yang diterapkan baik ditingkat daerah maupun pusat. Aplikasi SRIKANDI digunakan untuk mendukung proses administrasi persuratan dan kearsipan yang dilengkapi dengan tanda tangan elektronik. Namun, pada praktiknya masih ditemukan kendala yang dapat mempengaruhi kualitas layanan. Tujuan dari penelitian ini adalah untuk mengevaluasi layanan teknologi informasi terhadap implementasi aplikasi SRIKANDI pada Dinas Perhubungan Kota Salatiga dengan menggunakan framework ITIL (Information Technology Infrastructure Library) Versi 3 dengan fokus pada domain Service Operation. Penelitian menggunakan metode kuantitatif deskriptif dengan penyebaran kuesioner kepada 34 responden yang merupakan pegawai yang berstatus PNS pada Dinas Perhubungan Kota Salatiga dan aktif menggunakan aplikasi SRIKANDI. Instrumen penelitian meliputi lima proses utama domain Service Operation, yaitu Manajemen Insiden, Manajemen Permintaan, Manajemen Akses, Manajemen Masalah, Operasi TI dan satu instrumen Dukungan Pengguna Umum. Hasil penelitian menunjukkan sebagian besar indikator berada pada kategori cukup baik dengan nilai rata-rata 3.30, namun proses Manajemen Masalah masih perlu peningkatan dikarenakan beberapa item penilaian berada pada kategori kurang, kondisi ini dapat menyebabkan menurunnya kualitas layanan Aplikasi SRIKANDI.
Electric Vehicle Sentiment Analysis Using a Comparison of Naïve Bayes and Support Vector Machine Faizah Dian Herawati; Frederik Samuel Papilaya
JUSTINDO (Jurnal Sistem dan Teknologi Informasi Indonesia) Vol. 11 No. 1 (2026): JUSTINDO
Publisher : Universitas Muhammadiyah Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32528/justindo.v11i1.5026

Abstract

The development of electric vehicles in Indonesia has sparked various opinions from the public, which are often shared on social media, especially X. These opinions need to be analyzed to understand how the public views the policies and implementation of environmentally friendly vehicles. This study aims to examine public sentiment toward electric vehicles by comparing two types of text classification algorithms, namely Naïve Bayes and Support Vector Machine (SVM), using the Term Frequency–Inverse Document Frequency (TF-IDF) approach. The data used is Indonesian-language tweets collected through a crawling process, which then undergoes several pre-processing stages such as cleaning, case folding, normalization, tokenizing, stopword removal, and stemming. After that, the data was labeled for sentiment into three categories: positive, negative, and neutral, before being processed using a classification algorithm. To evaluate the model's performance, a confusion matrix was used, which shows the algorithm's performance based on accuracy, precision, recall, and F1-score values. The research results show that the Naïve Bayes algorithm has better results with an accuracy of 92%, while SVM achieves an accuracy of 76%. Therefore, the Naïve Bayes algorithm is considered more suitable for analyzing the sentiment of tweets related to electric vehicles in Indonesia.
Operational Evaluation of the Document and Archive Management Application at Disdukcapil Salatiga using the EUCS Method Florensia Fransisca Florensia; Frederik Samuel Papilaya
Journal of Innovation and Technology Polbeng Series on Informatics (INOVTEK Polbeng - Seri Informatika) Vol. 10 No. 2 (2025): July
Publisher : P3M Politeknik Negeri Bengkalis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35314/w3yzfr51

Abstract

Efficient population administration services require information systems that effectively support staff performance. This study aims to evaluate user satisfaction with the internal application used by the Salatiga Civil Registry Office (Disdukcapil) using the End User Computing Satisfaction (EUCS) method. Data were collected through questionnaires distributed to 10 respondents from two different job functions (service counter and archive), and analysed using descriptive statistics and the Mann-Whitney test. The results show that user satisfaction scores were generally high (ranging from 3.9 to 4.3), with no statistically significant differences in perceptions based on job function or duration of system use (p > 0.05). This suggests that the application is widely accepted among users. However, limitations such as a small sample size and lack of personalised features may affect the generalizability of the findings. The study recommends improving interface design and increasing system flexibility to better align with operational needs. Future research should involve a larger number of respondents and consider evaluating additional technical aspects, such as data security and system integration.
PENGOLAHAN FOTO UDARA UAV (UNMANNED AERIAL VEHICLE) MENGGUNAKAN SOFTWARE AGISOFT METASHAPE Noversa Yafet Pinatik; Frederik Samuel Papilaya
JURNAL PERANGKAT LUNAK Vol 6 No 1 (2024): Jurnal Perangkat Lunak
Publisher : Indragiri Islamic University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/jupel.v6i1.2838

Abstract

This research aims to explain the method of utilizing UAV (Unmanned Aerial Vehicle) for aerial data photography and processing of UAV aerial photos using Agisoft Metashape software. In this context, the author will discuss the key steps in data processing, including aerial photo preprocessing, 3D model generation, digital elevation model (DEM) extraction, orthomosaic extraction, and the provision of processing information from the aerial photo data. The research flow is structured in a series of steps, encompassing all stages performed during the research process, allowing for a clear direction of the research's progression. The final results, in the form of DEM and orthomosaic, hold significant value in mapping and geospatial analysis. This research is expected to enhance the understanding of UAV usage in surveying and mapping, enabling broader applications in various sectors. Careful supervision and control of UAV flights are highly emphasized to ensure data quality. The use of UAVs and Agisoft Metashape opens up new opportunities for accurate, efficient, and effective surveying and mapping.
Perancangan Aplikasi E-Commerce Menggunakan Cloud Computing dan Arsitektur Severless Lambda Liem Margareth Santoso; Frederik Samuel Papilaya
METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi Vol. 8 No. 2 (2024): METHOMIKA: Jurnal Manajemen Informatika & Komputersisasi Akuntansi
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/jmika.Vol8No2.pp155-163

Abstract

E-commerce applications are one area that continues to develop rapidly in the digital industry. The use of cloud computing and serverless lambda technology has provided many advantages in developing and managing e-commerce applications. However, the need for flexibility, scalability, and operational efficiency is increasingly driving the adoption of serverless architecture as an approach to building adaptive and cost-effective e-commerce applications. The app allows sellers to market products, take orders, and manage inventory efficiently, while customers can easily browse the product catalog, add items to their shopping cart, and complete checkout. Through performance analysis and evaluation, we show that the serverless Lambda architecture is capable of automatically providing scalability according to application traffic requirements. Additionally, a serverless approach also reduces the burden of infrastructure administration, allowing developers to focus on developing features and functionality that have a direct impact on the user experience.
Co-Authors Aditya Pranata Wibowo Agustinus Fritz Wijaya Andreas Tunggono Anggiyanti, Jennieta Neysa Cassandra, Chris Danny Manongga Dennis Christian Tallo Devara Liko Ivander Dian Oktaviani Dwi Agung Wicaksono, Dwi Agung Wicaksono Faizah Dian Herawati Febrianti, Wenny Elisa Fevrierdo Nathaniel Shanahan Pradana Florensia Fransisca Florensia Florensia, Florensia Fransisca Harnawan Nurul Asna Hernanda, Dava Putra Jeremi Yohanes Mocodompis Johan Jimmy Carter Tambotoh Josef Allen Kaleo, Anshelmo Christopher Krisnantia Putra Setyawan Leta, Ivena Leoma Liem Margareth Santoso Mahardika, Adrian Wisnu Mahersy Bobode Marboles Kundrat Marcelino, Kevin Michael Bezaleel Wenas Monika Prianti Natan Nael Neti Triana Noversa Yafet Pinatik Oktovio Metusael Kenspasio Kapoh Olivia, Kristiana Pandhu Kanantyo Penidas Fodinggo Tanaem Pinatik, Noversa Yafet Pransiska Ropi Prelin Leunupun Rafsanjani, Mohammad Alifian Riska Vennithasari Sanggup, Salmon Santoso, Liem Margareth Satria Wirabuana Selfiana Pandie Theodorus Deventer Rihulay Titan Kurniawan Vincent Sapakoly Wahyudi, Irawan Parulian Wibowo, Aditya Pranata Wilda Vallensia Latupeirissa