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All Journal Jurnal Online Mahasiswa (JOM) Bidang Ilmu Hukum Jurnal Teknologi Informasi dan Ilmu Komputer Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Jurnal Mahasiswa Bina Insani Jurnal SOLMA Jurnal Teknologi Sistem Informasi dan Aplikasi Prospek: Jurnal Manajemen dan Bisnis Tematik : Jurnal Teknologi Informasi Komunikasi Prosiding Seminar Nasional Sisfotek (Sistem Informasi dan Teknologi Informasi) Jurnal Buana Pengabdian Jurnal Sains Student Research The Indonesian Journal of Computer Science
Nadya Safitri
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Religion Automotive Engineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Law, Crime, Criminology & Criminal Justice Medicine & Pharmacology Public Health Social Sciences Other

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Knowledge Management Foundation and Solutions Implementation in Indonesian Government Higher Educational Institution Sihombing, Boy Sandi Kristian; Fatoumatta Binta Jallow; Ghina Fitriya; Dana Indra Sensuse; Sofian Lusa; Damayanti Elisabeth; Nadya Safitri
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 8 No 6 (2024): December 2024
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29207/resti.v8i6.6005

Abstract

The performance of XYZ, a Government Higher Educational Institution (GHEI) in Indonesia is assessed through two unintegrated applications. The 2023 target performance was missed due to miscalculations outside applications while transforming large data amounts. Thus, business intelligence (BI) serves as a knowledge management (KM) tool to integrate those applications to achieve XYZ's target. Because BI is costly and has a 70% failure rate of development plans, a research model was evaluated to look at the current XYZ innovation capability for successful BI adoption from the KM foundation and KM solution implementation. This study used a quantitative method, employing a questionnaire for 94 civil servants and the partial least squares-structural equation model (PLS-SEM) for data analysis. Results indicate in the KM foundation, organizational (O) negatively influences KM process application (KMP) (β = -0.292, Pv = 0.010) while KM infrastructure (I) and process (P) positively influence KMP, but KM technology (T) does not. In KM solutions, KMP is proven to be linked to innovation capability when KM systems are lacking. Hence, several activities are suggested to activate T through T, O, P, and I. The model validated 80% of the hypotheses, laying the groundwork for future studies into which aspects of T strengthen innovation capabilities in GHEI.
PEMANFAATAN APLIKASI CANVA SEBAGAI MEDIA PEMBELAJARAN DI HIMPAUDI MUSTIKA JAYA Ari Nurul Alfian; Nadya Safitri; Muhamad Baydhowi; Gilang Mukti Setio Bekti
JURNAL BUANA PENGABDIAN Vol. 4 No. 2 (2022): JURNAL BUANA PENGABDIAN
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat, Universitas Buana Perjuangan Karawang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36805/jurnalbuanapengabdian.v4i2.2780

Abstract

Kemampuan penguasaaan teknologi dan informasi khususnya media pembelajaran pada para Pendidik dalam penguasaan konsep media pembelajaran sangat diperlukan. Persoalan yang dihadapi para pendidik dari HIMPAUDI masih belum memanfaatkan penggunaan media pembelajaran dalam proses pembelajaran. Selain itu, masih belum memahami pembuatan media pembelajaran menggunakan aplikasi canva. Solusi dari permasalahan di atas adalah membuat media pembelajaran serta video pembelajaran menggunakan Canva aplikasi desain alat bantu desain dan publikasi online dengan misi memberdayakan semua orang di seluruh dunia agar dapat membuat desain apa pun dan mempublikasikannya. Metode dalam pelaksanaan PkM ini dengan memberikan pelatihan dan demonstrasi kepada peserta dalam penggunaan aplikasi dari Canva. Sasaran utama adalah para Pendidik pada HIMPAUDI Kecamatan Bekasi Barat dimana terdapat 2 orang Narasumber, 1 orang Moderator dan 1 orang Techinal Support. Pelaksanaan PkM ini didukungan media online berupa zoom, YouTube dan Link Google Drive. Luaran dari PkM ini adalah Streaming YouTube dan draft Jurnal PkM Terindeks Sinta Ristek BRIN. Kata kunci—Canva, Media Pembelajaran, Himpaudi The ability to master technology and information, especially learning media for educators in mastering the concept of learning media is very necessary. The problems faced by educators from HIMPAUDI are still not utilizing the use of learning media in the learning process. In addition, they still don't understand how to make learning media using the Canva application. The solution to the problems above is to create learning media and learning videos using Canva, a design application, design aids and online publications with the mission of empowering everyone around the world to create any design and publish it. The method for implementing this PkM is by providing training and demonstrations to participants in using Canva's applications. The main targets are educators at HIMPAUDI, West Bekasi District where there are 2 resource persons, 1 moderator and 1 technical support person. The implementation of this PkM is supported by online media in the form of zoom, YouTube and Google Drive links. The outputs of this PkM are YouTube Streaming and the draft of the BRIN Sinta Ristek Indexed PkM Journal. Keywords— Canva, Himpaudi, Learning Media
Arsitektur Hybrid Berbasis Aturan dengan Fuzzy Matching dan Klasifikasi Intent SVM untuk Chatbot Pengaduan pada Layanan Nadya Safitri; Farisi, Imam; Putro Dwi Mulyo
TEMATIK Vol. 12 No. 2 (2025): Tematik : Jurnal Teknologi Informasi Komunikasi (e-Journal) - Desember 2025
Publisher : LPPM POLITEKNIK LP3I BANDUNG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38204/tematik.v12i2.2669

Abstract

Abstract This study proposes a hybrid architecture for complaint-handling chatbots in the public-service domain by integrating rule-based response generation, fuzzy string matching, and Support Vector Machine (SVM)-based intent classification. Rule-based approaches ensure fast and consistent responses but fail to handle linguistic variations, while fuzzy matching provides tolerance to misspellings and synonyms but lacks measurable evaluation. Meanwhile, NLP-based classifiers such as SVM enable quantitative performance assessment but do not guarantee deterministic control over chatbot outputs in sensitive domains. To address these limitations, a fallback mechanism is designed in which deterministic rules and fuzzy similarity are prioritized, and the SVM classifier is invoked only when no match is detected. The model was trained on 500 annotated conversational entries and evaluated using standard metrics. The results indicate perfect performance with precision, recall, F1-score, and accuracy reaching 1.00 for both intent classes (FAQ/Request and Report), and all dialogue flows passed black-box functional testing. Nevertheless, this performance may be influenced by dataset homogeneity and limited size. Future work will focus on dataset expansion, cross-validation, and out-of-domain evaluation to mitigate overfitting risks. The proposed hybrid architecture demonstrates strong potential for reliable deployment of complaint chatbots in public-service contexts where deterministic control and measurable accuracy are both required. Keywords: hybrid chatbot, rule-based, fuzzy matching, SVM, public-service complaints. Abstrak Penelitian ini mengusulkan sebuah arsitektur hybrid untuk chatbot pengaduan pada layanan publik dengan mengombinasikan pendekatan rule-based, fuzzy matching, dan klasifikasi intent berbasis Support Vector Machine (SVM). Pendekatan rule-based mampu memberikan respons yang cepat dan konsisten, namun gagal menghadapi variasi input bahasa, sedangkan fuzzy matching toleran terhadap kesalahan ketik dan sinonim tetapi tidak memungkinkan pengukuran akurasi. Sementara itu, model NLP seperti SVM dapat memberikan evaluasi kinerja secara kuantitatif, namun tidak menjamin kendali deterministik atas keluaran chatbot pada domain sensitif. Untuk menjembatani keterbatasan tersebut, dirancang sebuah mekanisme fallback yang memprioritaskan aturan deterministik dan fuzzy similarity, kemudian mengaktifkan SVM saat input tidak teridentifikasi. Model dilatih menggunakan 500 entri percakapan teranotasi dan dievaluasi menggunakan metrik standar. Hasil menunjukkan nilai precision, recall, f1-score, dan akurasi sebesar 1.00 untuk dua kelas intent (FAQ/Permintaan dan Lapor), serta seluruh alur percakapan lulus uji fungsional black-box. Meskipun demikian, capaian ini berpotensi dipengaruhi oleh homogenitas korpus dan ukuran dataset yang terbatas. Penelitian lanjutan diarahkan pada perluasan dataset, penerapan validasi silang, serta pengujian pada data di luar domain untuk mengurangi risiko overfitting. Arsitektur hybrid yang diusulkan berpotensi menjadi pendekatan yang andal untuk chatbot pengaduan pada konteks layanan publik yang membutuhkan respons deterministik sekaligus akurasi terukur. Kata kunci: : chatbot hybrid, rule-based, fuzzy matching, SVM, pengaduan layanan publik
Knowledge Discovery System and Their Challenges in Property Company: A Systematic Literature Review Erisa Rizkyani; Dea Valentina; Jonathan Sofian Lusa; Nadya Safitri
Jurnal Teknologi Sistem Informasi dan Aplikasi Vol. 9 No. 1 (2026): Jurnal Teknologi Sistem Informasi dan Aplikasi
Publisher : Program Studi Teknik Informatika Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/jtsi.v9i1.55838

Abstract

In the era of digital transformation and data-driven decision-making, property companies are increasingly challenged by the complexity of managing vast, diverse, and unstructured data. Knowledge Discovery Systems (KDS) have emerged as vital tools for extracting valuable insights to support strategic functions such as property valuation, market analysis, and urban planning. This paper aims to investigate the trends and challenges in implementing KDS in property companies through a Systematic Literature Review (SLR) using the PRISMA framework. A total of 23 relevant publications from 2020 to 2025 were reviewed. The study finds that KDS applications span from real estate price prediction using machine learning to knowledge representation using semantic models. However, the implementation of KDS still faces significant barriers such as limited interdisciplinary collaboration, poor data quality, domain-specific constraints, and resistance to technological adoption. The results of this review contribute to a better understanding of how KDS can be effectively utilized in the property sector. It also highlights the need for future research to improve system adaptability, model explainability, and integration with domain knowledge to foster more intelligent, data-driven organizations
ETIKA DALAM PRAKTIK AKUNTANSI KEUANGAN (STUDI KASUS PT GARUDA INDONESIA TBK) Citra Amalia; Nadya Safitri; Lily Zahrani; Elly Ami Wardani; Saridawati Saridawati
JOURNAL SAINS STUDENT RESEARCH Vol. 2 No. 3 (2024): Juni : Jurnal Sains Student Research
Publisher : CV. KAMPUS AKADEMIK PUBLISING

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61722/jssr.v2i3.1476

Abstract

Financial statements are reports that describe the financial condition and performance of the company in a certain period. And every business entity in carrying out business activities is required to report its performance in the form of financial reports applicable in Indonesia, whether monthly, quarterly or even annual reports. The financial accounting department is needed in business entities to prepare financial reports. This research concludes that the management of PT Garuda Indonesia has violated business ethics and has harmed the parties responsible for the expected profits. This is due to the agreement made by PT Garuda with PT Mahata not going well. it is known that PT Garuda Indonesia (Persero) Tbk is proven to have violated OJK regulation Number 29 / PJOK.04 / 2016 regarding the annual report of issuers or public companies and is subject to administrative sanctions.
Co-Authors Abda Abda Ahmad Safei Anggoro, Muhammad Seno Ari Nurul Alfian Citra Amalia Damayanti Elisabeth Dana Indra Sensuse Dea Valentina Elly Ami Wardani Erisa Rizkyani Fachri Munandar Fatoumatta Binta Jallow Ferdian Maulana Akbar Gede Putu Agus Jana Susila Ghina Fitriya Gilang Mukti Setio Bekti Husain Husain Imam Farisi Lathiful Alamsyah Lily Zahrani Lusa, Sofian Muhamad Baydhowi Muis, Saludin Mukhlis R Putro Dwi Mulyo Rayhan Wahyudin Ratu Lolly Ridwan Afandi Rita Wahyuni Arifin Robby Hermansyah Rully Pramudita Saridawati Saridawati Shafirawati, Fitri Sihombing, Boy Sandi Kristian Sofian Lusa Stepphanus Manurung Syamsul Anwar