Dengan kemajuan teknologi yang pesat di era revolusi industri 4.0, sistem manufaktur bertransformasi dan bergeser menuju ke era digitalisasi pabrik. Studi ini menyelidiki bagaimana penerapan artificial intelligence (AI) pada smart manufacturing dibahas dalam literatur akademis saat ini. Berdasarkan teknik bibliometrik, 399 publikasi diambil dari database Scopus dari 2013 hingga 2022 dan dianalisis untuk mengidentifikasi pola perubahan penelitian AI, sumber jurnal yang paling produktif, negara yang paling banyak dikutip, studi yang paling berpengaruh, dan kata kunci yang paling relevan. Topik-topik terbaru terkait penerapan AI pada smart manufacturing juga diidentifikasi. Program VOSViewer dan Biblioshiny digunakan untuk melakukan analisis bibliometrik. Penelitian AI juga berfokus pada peran teknologi lain seperti internet of things (IoT), cloud computing, big data, edge computing, blockchain, dan digital twin dalam mendukung kegiatan manufaktur, seperti meningkatkan otomatisasi, melakukan analisis prediktif, dan mengukur performa. Studi ini menjelaskan pandangan akademisi dan praktisi tentang apa yang telah diteliti dan mengidentifikasi kemungkinan peluang untuk studi masa depan.

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Pengelolaan dan pemeliharaan aset TI (Teknologi Informasi) merupakan salah satu tugas pokok Fungsi Jaringan dan Rujukan Statistik di kantor Badan Pusat Statistik Provinsi Sumatera Barat. Penelitian ini bertujuan untuk merancang dan membangun sistem informasi manajemen dan layanan aset TI dimulai dari pengalokasian sampai pada proses pelaporan terhadap kondisi aset TI. Metode yang digunakan dalam penelitian ini adalah prototyping dengan tipe evolutionary prototype yang terdiri dari tahap kebutuhan user, membuat prototype, menyesuaikan prototype dengan keinginan user, dan menggunakan prototype. Hasil dari penelitian ini adalah sistem informasi manajemen dan layanan aset TI berbasis web menggunakan framework Codeiginiter. Sistem ini mengimplementasikan fitur labelling QR Code dan notifikasi Bot Telegram pada proses layanan aset TI. Sistem ini mampu menjawab kebutuhan organisasi dalam menghasilkan laporan data aset TI yang mutakhir dan proses layanan aset TI yang mudah.

The BPS - Statistics Indonesia classifies villages into urban villages and rural villages to organize statistics. The classification of village areas into urban or rural status is intended to form a stratum used in survey sampling techniques. With this status, it is hoped that the sample taken can represent the entire population well. The BPS - Statistics Indonesia establishes criteria for classifying a village into an urban village. The 2020 urban village criteria use three indicators as its measure, namely: population density per km2, percentage of agricultural families, and the presence or access of urban facilities. In general, the data used in calculating the classification of urban and rural villages in 2020 uses data from the 2019 Village Potential (Podes) survey. This study utilizes data on urban facilities such as schools, markets, shops, and hospitals on the google maps website to calculate the score of indicators of the existence or access of urban facilities. This study used a web scraping method to obtain data on these urban facilities from the google maps website. This study selected eight villages in the Lubuk Sikaping District, Pasaman Regency, West Sumatra Province, as a case study. The results showed that four villages with great potential were classified into urban villages, and three villages with great potential were classified into rural villages.

Regulatory Technology, or RegTech, uses new technology that assists the financial industry, such as FinTech and banks, in meeting regulatory compliance. RegTech automates various regulatory compliance activities that were previously manual, such as regulatory interpretation and regulatory reporting, amidst the challenges of the increasing volume of regulations and operational data. Some cutting-edge technologies discovered at RegTech include big data analytics, artificial intelligence, machine learning, robotic process automation, and cloud computing. Although very dominant in the financial industry, RegTech solutions have the potential to be applied in other regulated industries besides finance. Several studies have explored the potential for applying RegTech in industries other than finance, such as charitable organizations, real estate marketplace, pharmaceuticals, and healthcare. Therefore, this study aims to design a generic RegTech solution architecture so that it can be adopted and applied in various regulated industries achieve regulatory compliance more efficiently. Based on the evaluation results, the proposed architecture can be applied in an industrial environment other than financial to be considered generic. Furthermore, an evaluation of the comparison of regulatory compliance business processes without and by implementing RegTech can produce a time efficiency of 95.16%. These results show that RegTech solutions can achieve regulatory compliance more efficiently.