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All Journal JUTIM (Jurnal Teknik Informatika Musirawas) Jurnal Puan Indonesia Eduvest - Journal of Universal Studies Jurnal Desain dan Analisis Teknologi JUAN: Jurnal Pengabdian Nusantara
Rifky Akbar Vetian
Universitas Putera Batam
Aerospace Engineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Engineering Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Neuroscience Public Health Social Sciences Other

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Corpus Development and Pos Tagging Evaluation for Riau Malay Dialect Using Hidden Markov Model in A Low-Resource Setting Rifky Akbar Vetian; Koko Handoko; Andi Maslan; Alfannisa Annurrullah Fajrin
Eduvest - Journal of Universal Studies Vol. 6 No. 4 (2026): Eduvest - Journal of Universal Studies
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/eduvest.v6i4.53066

Abstract

Natural Language Processing (NLP) plays a crucial role in enabling machines to process and understand human language. One of the fundamental tasks in NLP is Part-of-Speech (POS) tagging, which serves as the foundation for various downstream applications such as parsing, information extraction, and machine translation. However, the development of POS tagging models for low-resource languages remains a significant challenge due to the limited availability of annotated corpora. This study aims to develop a POS-tagged corpus for Bahasa Melayu Dialek Riau (BMDR) and evaluate the performance of a Hidden Markov Model (HMM) as a baseline approach for POS tagging. The dataset consists of approximately 600 sentences with around 10,000 tokens, which were manually annotated and validated using Inter-Annotator Agreement. The annotated corpus was then divided into training and testing sets with a ratio of 80:20. Experimental results show that the HMM model achieved an accuracy of 86.8%, with precision, recall, and F1-score values of 85.9%, 85.3%, and 85.6%, respectively. The results indicate that HMM remains a competitive approach for POS tagging in low-resource language settings. Error analysis reveals that lexical ambiguity, Out-of-Vocabulary (OOV) words, and limited training data are the primary factors affecting model performance. This research contributes by providing the first annotated POS corpus for BMDR, evaluating the effectiveness of HMM in a low-resource context, and offering insights into linguistic challenges in regional languages. Future work may explore larger datasets and advanced deep learning models to improve tagging performance.
PENINGKATAN KOMPETENSI DIGITAL MELALUI PELATIHAN COLLABORATIVE TOOLS (GOOGLE WORKSPACE & NOTION) UNTUK MANAJEMEN ORGANISASI Rifky Akbar Vetian; Alfannisa Annurrallah Fajrin; Alvina Leony; Josiah Bryan Lim
JUAN: Jurnal Pengabdian Nusantara Vol. 3 No. 1 (2026): Januari 2026
Publisher : CV Sentra Nusa Connection

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63545/juan.v3.i1.202

Abstract

Tata kelola organisasi kemahasiswaan sering terhambat oleh manajemen administrasi konvensional yang tidak efisien. Mitra kegiatan ini, Himpunan Mahasiswa Teknik Informatika di Batam, menghadapi masalah pengarsipan yang tidak terpusat dan koordinasi tugas yang tumpang tindih. Kegiatan pengabdian ini bertujuan meningkatkan kompetensi digital pengurus melalui pelatihan collaborative tools (Google Workspace dan Notion). Metode pelaksanaan menggunakan pendekatan Participatory Action Research (PAR) yang meliputi tahapan sosialisasi, demonstrasi teknis, dan pendampingan intensif. Hasil kegiatan menunjukkan peningkatan signifikan pada pemahaman peserta, dibuktikan dengan kenaikan nilai rata-rata pretest 45,5 menjadi 88,0 pada posttest. Selain itu, secara psikomotorik peserta berhasil membangun sistem arsip digital terintegrasi dan dashboard manajemen proyek. Kegiatan ini berdampak positif dalam mendorong transformasi budaya kerja organisasi menjadi lebih produktif, transparan, dan nirkertas (paperless), yang krusial bagi keberlanjutan organisasi di era digital.
Implementasi Metode Certainty Factor dalam Sistem Pakar Diagnosis Penyakit Kucing Berbasis Android Alfannisa Annurrallah Fajrin; Rifky Akbar Vetian
Jurnal Desain Dan Analisis Teknologi Vol. 5 No. 1 (2026): Januari
Publisher : Aptikom Kepri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58520/jddat.v5i1.100

Abstract

Kucing merupakan salah satu jenis hewan mamalia yang banyak dipelihara sebagai hewan kesayangan namun masih rentan terhadap berbagai jenis penyakit akibat kesalahan perawatan, lingkungan, dan kurangnya pengetahuan pemilik. Keterbatasan akses terhadap dokter hewan menjadi kendala utama dalam proses diagnosis penyakit kucing secara cepat dan akurat. Oleh karena itu, penelitian ini bertujuan untuk mengimplementasikan metode Certainty Factor (CF) dalam sistem pakar diagnosis penyakit kucing berbasis Android guna membantu pengguna dalam mengidentifikasi penyakit secara mandiri. Metode Certainty Factor digunakan untuk menangani ketidakpastian dalam proses penalaran berdasarkan tingkat keyakinan pakar terhadap hubungan antara gejala dan penyakit. Sistem dikembangkan menggunakan platform Android agar mudah diakses dan digunakan oleh masyarakat luas Sistem ini diharapkan dapat menjadi solusi pendukung dalam membantu pemilik kucing melakukan diagnosis awal penyakit serta meningkatkan kesadaran akan pentingnya perawatan yang tepat.
PEMBERDAYAAN TRANSFORMASI DIGITAL KEPADA MASYARAKAT DALAM DUNIA TECHNOPRENEURSHIP Alfannisa Fajrin; Rifky Akbar Vetian
PUAN INDONESIA Vol. 8 No. 1 (2026): Jurnal PUAN Indonesia Vol. 8 No. 1 Juli 2026
Publisher : ASOSIASI IDEBAHASA KEPRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37296/jpi.v8i1.556

Abstract

Digital transformation has become a major catalyst for creating new opportunities in various sectors, including technopreneurship. This research aims to examine community empowerment strategies in the digital era and how technology can be integrated into technology-based entrepreneurial activities. This empowerment focuses not only on the use of digital devices but also on strengthening human resource capacity through training, digital literacy, and access to digital platforms that support technopreneurial activities. The method used in this research is a descriptive qualitative study using observation and interviews with small- to medium-scale technology entrepreneurs in urban and semi-urban areas. For example, Cake House Aurora is still a home-based business. They still use manual marketing methods, resulting in limited sales. However, increasing digital literacy and the success of technology-based businesses will help Cake House Aurora. Furthermore, empowerment initiatives through digital communities, business incubators, and cross-sector collaboration play a crucial role in accelerating technology adoption. Therefore, empowerment in digital transformation must be directed at developing an innovative, collaborative, and adaptive mindset to change. In conclusion, a digitally educated population has great potential to become resilient, creative, and competitive technopreneurs in the digital economy era.
DEVELOPMENT OF AN ANDROID-BASED LAUNDRY APPLICATION SYSTEM WITH SELF-SERVICE FEATURES Anis Lelitasari; Reza Ilyasa; Rifky Akbar Vetian; Rangga Gading Satria; Eko Kurniawan; Yudha Wibowo; Muhammad Roffi Suhendry; Wayan , Deva Adhisthanaya
JUTIM (Jurnal Teknik Informatika Musirawas) Vol. 10 No. 2 (2025): JUTIM (JURNAL TEKNIK INFORMATIKA MUSIRAWAS) DESEMBER
Publisher : LPPM UNIVERSITAS BINA INSAN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32767/jutim.v10i2.2788

Abstract

The increasing societal mobility and consumer demand for independent solutions have amplified the need for efficient and convenient laundry services. Traditional laundry operations often struggle with common issues such as long waiting times, potential order inaccuracies, and limited transparency. The primary objective of this research was to develop an Android-based laundry application system featuring robust self-service capabilities. This application empowers customers to seamlessly perform online ordering, secure digital payments, and real-time laundry status tracking, effectively minimizing the need for direct staff intervention. This innovative approach is designed to significantly reduce customer wait periods and enhance the precision of order data. The system was developed using the systematic Waterfall Model. The process involved in-depth requirements analysis, detailed system design, program code implementation, and thorough testing to ensure optimal and bug-free operation. The culmination of this research is a functional prototype of the Android-based application, featuring an intuitive interface and comprehensive self-service functions. This application is expected to both enhance the operational efficiency for laundry providers and deliver a more practical, modern, and independent experience for users managing their laundry needs.
Co-Authors alfannisa annurrallah fajrin Alfannisa Annurrullah Fajrin Alfannisa Fajrin Alvina Leony Andi Maslan Anis Lelitasari Eko Kurniawan Handoko, Koko Josiah Bryan Lim Muhammad Roffi Suhendry Rangga Gading Satria Reza Ilyasa Wayan , Deva Adhisthanaya Yudha Wibowo