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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) Jurnal Ilmu Komputer dan Informasi IPTEK The Journal for Technology and Science CommIT (Communication & Information Technology) Jurnal Teknologi Informasi dan Ilmu Komputer Journal of Information Systems Engineering and Business Intelligence Jurnal IPTEK-KOM (Jurnal Ilmu Pengetahuan dan Teknologi Komunikasi) Sinkron : Jurnal dan Penelitian Teknik Informatika Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) JITK (Jurnal Ilmu Pengetahuan dan Komputer) Jurnal Komtika (Komputasi dan Informatika) Masyarakat Telematika Dan Informasi : Jurnal Penelitian Teknologi Informasi dan Komunikasi Jurnal Nasional Pendidikan Teknik Informatika (JANAPATI) Jurnal Teknologi Dan Sistem Informasi Bisnis Jurnal Informatika Ekonomi Bisnis Computer Science and Information Technologies Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Jurnal Teknimedia: Teknologi Informasi dan Multimedia Jurnal Nasional Teknik Elektro dan Teknologi Informasi Jurnal Pendidikan Indonesia (Japendi) International Journal of Engineering Continuity J-Icon : Jurnal Komputer dan Informatika Jurnal Informatika Ekonomi Bisnis Jurnal Sistem Informasi The Indonesian Journal of Computer Science Jurnal Komtika (Komputasi dan Informatika)
Yova Ruldeviyani
Faculty Of Computer Science, Universitas Indonesia
Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Social Sciences

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DATA QUALITY IMPROVEMENT: CASE STUDY FAST PAYMENT SYSTEM INFRASTRUCTURE Jefree W.L.H Manurung; Yova Ruldeviyani
TEKNIMEDIA: Teknologi Informasi dan Multimedia Vol. 7 No. 1 (2026): June 2026
Publisher : Badan Penelitian dan Pengabdian Masyarakat (BP2M) STMIK Syaikh Zainuddin NW Anjani

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46764/teknimedia.v7i1.379

Abstract

This study aims to assess the data quality of the Fast Payment System infrastructure application. The assessment employs a specialized framework for financial data, namely the QAFD (Quality Assessment Framework for Data), which focuses on five data quality dimensions. Given the high transaction volume and operational criticality of fast payment systems, ensuring reliable data quality is essential to support reporting, analysis, and policy communication. Data quality assessment was conducted through two approaches: objective and subjective assessment, applied to 34 variables. The objective assessment was based on quantitative measurements of the data, while the subjective assessment involved user or stakeholder perceptions of data quality. The objective assessment results showed that the Accuracy dimension reached 99.99%. The Completeness dimension for mandatory data variables was recorded at 84.41%. For the Uniqueness dimension, the variable sending_customers_id_number_hash achieved 87.34%, while receiving_customers_id_number_hash reached 99.96%. Meanwhile, both the Currency and Timeliness dimensions achieved a 100% rate. A comparison between the objective and subjective assessment results indicated discrepancies in the Completeness and Uniqueness dimensions, while the other dimensions were aligned. These findings indicate that data quality challenges extend beyond technical processing aspects and reflect the importance of continuously improving metadata clarity and business rule alignment governing variable usage and identifier relationships. This study contributes by providing empirical evidence of QAFD implementation in fast payment operational data and emphasizes the value of proactive data governance through metadata enhancement and strengthened validation mechanisms to support reliable reporting and institutional credibility.
Peningkatan Manajemen Data Master Rekam Medis Elektronik Rumah Sakit: Studi Kasus di Rumah Sakit XYZ Aloysius Prastowo Setyo Nugroho; Yova Ruldeviyani
Jurnal Pendidikan Indonesia Vol. 6 No. 7 (2025): Jurnal Pendidikan Indonesia (Japendi)
Publisher : Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/japendi.v6i7.8375

Abstract

Rumah Sakit XYZ memiliki sistem elektronik berupa Electronic Medical Record (ERM). Permasalahan yang dihadapi pada ERM rumah sakit adalah kurangnya standar data master ditunjukkan dengan pengecekan manual dependensi dan relasi database tiap perubahan aplikasi. Untuk menanganinya perlu diketahui tingkat maturitas saat ini guna mengetahui potensi masalah, dan proses internal yang dapat dioptimalkan. Frame work md3m Penelitian ini dipilih Master Data Management Maturity Model (MD3M) oleh Spruit-Pietzka karena metode ini berfokus pada lima bidang penting dan tiga belas area yang sesuai dengan kebutuhan penilaian Data Master ERM dan secara praktis dirancang untuk mengukur kematangan manajemen data master. Tujuan dari penelitian ini adalah untuk meningkatkan pengelolaan master data rekam medis yang sesuai bagi rumah sakit XYZ. Hasil pengukuran menunjukkan tingkat maturitas keseluruhan adalah 3, dengan rincian 87% kapabilitas sudah terpenuhi atau terpenuhi 55 kapabilitas dari total 63 kapabilitas yang diukur. Hal ini menunjukkan bahwa organisasi sudah memiliki kolaborasi pertama terjadi pada tingkat taktis memiliki kesadaran untuk adanya inisiatif lain dalam pengelolaan master data ERM rumah sakit. Pentingnya melakukan peninjauan kembali model master data untuk konsisten dan mengurangi redundansi data dan menerapkan Stewardship guna melakukan proses teknis serta memelihara dan mengupdate repositori data.
Optimizing User Satisfaction: A Comprehensive Evaluation of the Info BMKG App Using UEQ+ and IPA Methods Bima Tri Ariyanto; Yova Ruldeviyani; GS Budhi Dharmawan; Maharani IF Bahar
International Journal of Engineering Continuity Vol. 3 No. 1 (2024): ijec
Publisher : Sultan Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58291/ijec.v3i1.242

Abstract

An update to the appearance of the BMKG Info app in November 2022 led to a 0.26 drop in the monthly rating, suggesting that the change may not have met users' expectations. This study aims to identify the cause of the rating drop through a user experience (UX) assessment involving 1,237 app users. Using the User Experience Questionnaire Plus (UEQ+) and Importance Performance Analysis (IPA), this study collected and analyzed user feedback related to five aspects of UX: efficiency, novelty, usability, trust in content, and clarity. IPA results show that efficiency is a highly important but underperforming aspect, indicating that interface updates reduce efficiency and negatively impact user satisfaction. Recommendations include prioritizing efficiency improvements, usability evaluations, collecting additional feedback, and using IPA data to drive improvement priorities. The findings of this study contribute to the field of science by demonstrating the importance of a comprehensive UX analysis for updated apps. For future research, it is recommended to conduct longitudinal studies to monitor changes in user satisfaction over time and explore innovative methods to improve the overall user experience.
Sentiment analysis of online licensing service quality in the energy and mineral resources sector of the Republic of Indonesia Ahmad Hizqil; Yova Ruldeviyani
Computer Science and Information Technologies Vol 5, No 1: March 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/csit.v5i1.p63-71

Abstract

The Ministry of Energy and Mineral Resources of the Republic of Indonesia regularly assessed public satisfaction with its online licensing services. User rated their satisfaction at 3.42 on a scale of 4, below the organization's average of 3.53. Evaluating public service performance is crucial for quality improvement. Previous research relied solely on survey data to assess public satisfaction. This study goes further by analyzing user feedback in text form from an online licensing application to identify negative aspects of the service that need enhancement. The dataset spanned September 2019 to February 2023, with 24,112 entries. The choice of classification methods on the highest accuracy values among decision tree (DT), random forest (RF), naive bayes (NB), stochastic gradient descent (SGD), logistic regression (LR), and k-nearest neighbor (k-NN). The text data was converted into numerical form using CountVectorizer and term frequency-inverse document frequency (TF-IDF) techniques, along with unigrams and bigrams for dividing sentences into word segments. LR bigram CountVectorizer ranked highest with 89% for average precision, F1-score, and recall, compared to the other five classification methods. The sentiment analysis polarity level was 36.2% negative. Negative sentiment revealed expectations from the public to the ministry to improve the top three aspects: system, mechanism, and procedure; infrastructure and facilities; and service specification product types.
Co-Authors Achmad Nizar Hidayanto Adenia Adiresta Adi Gunawan, Adi Afif Gunung , Muhammad Agnes Sondita Payani Ahmad Fadhil, Ahmad Ahmad Hendra Maulana Ahmad Hizqil Ahmad Syaifulloh Imron Al Adawiyah, Rabiah Al Haq, Muhammad Hezby Al Qahar, Muhammad Yazid Aldiansah Prayogi Alfiandi, Rama Alfiany, Noverina Alia Mutia Mayanda Aloysius Prastowo Setyo Nugroho Aloysius Prastowo Setyo Nugroho Amanda Ghaisani Andro Harjanto Arif Hidayat Aris Budi Santoso Astagina, Shania Eriadhani Azis Amirulbahar Belia Rida Syifa Fauzia Bima Tri Ariyanto Brillianto, Bramanti Desiana Nurul Maftuhah Devina, Fakhira Faris Salbari Fathurahman Ma'ruf Hudoarma Fidyawan, Miftahul Agtamas Fitriya, Ghina GS Budhi Dharmawan Hafiz , Muhammad Halida Ernita Handayani, Putu Wuri Hendry, Darell I Made Kurniawan Putra Ibnu Pujiono Ines Dwi Andini Irfan Murtadho Agtyaputra Irvan Ramadhan Zarkasie Jefree W.L.H Manurung Jeri Apriansyah Pagua, Jeri Apriansyah Juliansyah, Mohamad Denis Khairunnas, Rezki Khairunnaziri, Muhammad Krisna Maria Rosita Dewi Kurniawati, Monica Vivi Layungsari Layungsari Layungsari Layungsari Layungsari Layungsari Lelianto Eko Pradana Lia Ellyanti Lukman Yudokusumo Maharani IF Bahar Mahsa Elvina Rahmawyanet Melani Puspasari, Hasna Muhammad Farhan Mukharomah, Ulfah Nur Nabasya, Oristania Wahyu Noverina Alfiany Noviana Pramitasari Nugraha, Tito Febrian Nugraheni, Sani Parmiyanto, Joko Prastowo, Rahardito Dio Pratiwi, Aprilia Priastomo, Ristyo Yogi Prisillia, Galuh Puja Putri Abdullah Purwandaru, Dhanang Putra Hulu, Freddy Richard Putra, Ramadhoni Putri, Azanisa Rahmad Mulyadi Rahman, Henry Aulia Rahmi Julianasari Raksaka Indra Alhaqq Ramayuda, Muhammad Davin Ratna Yulika Go Rina Rahmawati Sidiq, Darmawan Sudarwono, Dianto Adwoko Sulaeman, Achmad Firmansyah Sulistiyo, Rifta Dimas Syalevi, Rahmad Tri Broto Siswoyo Tri Utami, Avita Utami, Aisyah Nurlita Venera Genia Wibowo, Wahyu Setiawan Widoyono, Bambang Wintang, Siti Mawar Rini Yoga Pamungkas Yohan Adhi Styoutomo Yudho Giri Sucahyo Yudho Giri Sucahyo Yudistira, Ricko Dwiki Yuli Astuti Zharif Mustaqim, Ilham Zulmy, Mohamad Faisal