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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) Jurnal Ilmu Komputer dan Informasi CommIT (Communication & Information Technology) 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 Nasional Teknik Elektro dan Teknologi Informasi Jurnal Pendidikan Indonesia (Japendi) J-Icon : Jurnal Komputer dan Informatika Jurnal Informatika Ekonomi Bisnis Jurnal Sistem Informasi The Indonesian Journal of Computer Science
Yova Ruldeviyani
Fakultas Ilmu Komputer, Universitas Indonesia
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 Mathematics Social Sciences

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Making AI Work for Government: Critical Success Factor Analysis Using R-SWARA Brillianto, Bramanti; Ruldeviyani, Yova; Sidiq, Darmawan
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 8 No 3 (2024): June 2024
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29207/resti.v8i3.5813

Abstract

This study quantifies what makes Artificial Intelligence (AI) work for government, the critical success factors (CSFs) for successful AI implementation within the Directorate General of Taxes (DGT). Analyzing factors such as technology, organization, process, and environment, the research highlights the importance of organizational readiness, strategic vision, and leadership support to drive successful AI integration within DGT. The dimension of the organization became the most critical factor, followed by technology, process, and environment. The findings offer actionable insights for DGT's decision-making processes, aiding in strategic resource allocation and tailored AI strategy refinement. Furthermore, this research is a valuable reference for other public sector organizations that aim to enhance operational efficiency through the adoption of AI. This study empowers decision makers within the DGT and the wider public sector by providing nuanced information on the critical factors that influence the successful implementation of AI, fostering improved operational efficiency and governance practices.
Evaluasi Kualitas Data Pada Daftar Produk Tayang Di Katalog Elektronik Versi 6.0 Pratiwi, Aprilia; Mahsa Elvina Rahmawyanet; Amanda Ghaisani; Tri Broto Siswoyo; Yova Ruldeviyani; Yudho Giri Sucahyo
The Indonesian Journal of Computer Science Vol. 14 No. 3 (2025): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v14i3.4858

Abstract

Data quality is important aspect in supporting transparency, accountability, and efficiency of the government procurement process. Electronic Catalog data acts as a source of information on products, services, and providers of goods/services. The transition from Electronic Catalog v5 to v6 is form of digital transformation in the government procurement of goods/services as form of improving public services. Measuring the quality of Electronic Catalog v6 data has significant role in providing effective, efficient and accountable information. This study aims to evaluate the quality of data on Electronic Catalog v6 product data using the Total Data Quality Management (TDQM) framework. There are 6 dimensions used in evaluating data quality, completeness, accuracy, data integrity, fairness, consistency, and precision. The results of the study show that the dimensions of consistency, accuracy, completeness, fairness and precision reach above 90% while data integrity reaches below 50% and requires improvement on product data quality.
Peningkatan Manajemen Data Master Rekam Medis Elektronik Rumah Sakit: Studi Kasus di Rumah Sakit XYZ Setyo Nugroho, Aloysius Prastowo; Ruldeviyani, Yova
Jurnal Pendidikan Indonesia Vol. 6 No. 7 (2025): Jurnal Pendidikan Indonesia
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.
Co-Authors Achmad Nizar Hidayanto Adi Gunawan, Adi Afif Gunung , Muhammad Ahmad Hendra Maulana Ahmad Syaifulloh Imron Al Adawiyah, Rabiah Al Haq, Muhammad Hezby Al Qahar, Muhammad Yazid Aldiansah Prayogi Alfiandi, Rama Aloysius Prastowo Setyo Nugroho Amanda Ghaisani Andro Harjanto Arif Hidayat Aris Budi Santoso Astagina, Shania Eriadhani Azis Amirulbahar Brillianto, Bramanti Desiana Nurul Maftuhah Devina, Fakhira Faris Salbari Fathurahman Ma'ruf Hudoarma Fidyawan, Miftahul Agtamas Fitriya, Ghina Hafiz , Muhammad Halida Ernita Handayani, Putu Wuri Hendry, Darell Hizqil, Ahmad I Made Kurniawan Putra Ines Dwi Andini 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 Mahsa Elvina Rahmawyanet Melani Puspasari, Hasna Muhammad Farhan Mukharomah, Ulfah Nur Nabasya, Oristania Wahyu Noverina Alfiany Nugraheni, Sani Prastowo, Rahardito Dio Pratiwi, Aprilia Priastomo, Ristyo Yogi Prisillia, Galuh Puja Putri Abdullah Purwandaru, Dhanang Putra, Ramadhoni 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 Syalevi, Rahmad Tri Broto Siswoyo Tri Utami, Avita Utami, Aisyah Nurlita Widoyono, Bambang Yoga Pamungkas Yudho Giri Sucahyo Yudho Giri Sucahyo Yudistira, Ricko Dwiki Yuli Astuti Zharif Mustaqim, Ilham Zulmy, Mohamad Faisal