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All Journal Teknika Journal of Scientific Research, Education, and Technology
Vierke, Intan Maria Lewiayu
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Computer Science & IT Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Social Sciences

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Analysis of Fiscal Incentive Policies in The Electronic Industries Using Regulatory Impact Analysis (RIA) Vierke, Intan Maria Lewiayu; Budhi, Dharma; Achmad Sanusi; Syaiful Ahmar
Journal of Scientific Research, Education, and Technology (JSRET) Vol. 2 No. 1 (2023): Vol. 2 No. 1 2023
Publisher : Kirana Publisher (KNPub)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58526/jsret.v2i1.78

Abstract

As one of the sectors that are the focus of the development of Making Indonesia 4.0, the electronics industry is one of the sectors that must accelerate itself in facing high competition in the era of the industrial revolution 4.0, where the development of digital technology and global needs for various technology support instruments are very high. The competitiveness of the electronics industry must be a concern; for this reason, this research will analyse the fiscal incentives applied to the electronics industry sector, especially the Government Borne Import Duty (BMDTP). The implementation of RIA supports the policy-making process by including valuable empirical data for a policy decision and constructing a rational decision framework to examine the potential implications of regulatory policy choices. Based on the analysis conducted, the data shows that the BMDTP policy is to encourage the ease of importing raw materials that can increase industrial competitiveness; the application of the BMDTP policy is clear and understandable; only inconsistencies in the timing of its implementation, and the performance of the electronics sector industry shows the benefits of implementing the BMDTP policy.
Optimalisasi Proses Data Warehouse Melalui Business Process Optimization (BPO) Untuk Meningkatkan Efisiensi Pengambilan Keputusan Bani, Fajar Ciputra Daeng; Wahyudin, Agus; Sutjiatmo, Bayu Prabowo; Vierke, Intan Maria Lewiayu; Tyasti, Avia Enggar
Teknika Vol. 13 No. 3 (2024): November 2024
Publisher : Center for Research and Community Service, Institut Informatika Indonesia (IKADO) Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34148/teknika.v13i3.928

Abstract

Proses pengambilan keputusan yang cepat dan tepat merupakan kebutuhan utama dalam lingkungan bisnis yang dinamis. Namun, banyak perusahaan freight forwarder menghadapi permasalahan dalam efisiensi pengambilan keputusan karena ketidaksempurnaan proses pengolahan data di dalam data warehouse. Untuk mengatasi permasalahan tersebut. Penelitian ini bertujuan untuk mengoptimalkan proses Data Warehouse (DWH) guna meningkatkan produktivitas dalam pengambilan keputusan di perusahaan freight forwarder di Indonesia. Dalam konteks lingkungan bisnis yang semakin kompleks dan dinamis, kebutuhan akan informasi yang tepat waktu dan akurat sangat penting untuk mendukung pengambilan keputusan yang efektif. DWH telah menjadi solusi populer untuk mengintegrasikan dan menganalisis data dari berbagai sumber guna mendukung proses pengambilan keputusan. Business Process Optimization (BPO) diterapkan untuk menganalisis dan merancang ulang proses bisnis yang terkait dengan pengolahan data, sehingga meningkatkan efisiensi dan akurasi pengolahan data dalam DWH. Dalam penelitian ini, digunakan model optimasi yang dirancang untuk memaksimalkan efisiensi proses ETL dan meningkatkan kinerja sistem Online Analytical Processing (OLAP) serta Online Transaction Processing (OLTP). Metode-metode ini diharapkan dapat meningkatkan kualitas dan kecepatan pengambilan keputusan, serta efisiensi operasional perusahaan freight forwarder. Hasil dari penelitian ini diharapkan dapat memberikan produktivitas dan daya saing bagi perusahaan di industri logistik.
Co-Authors Achmad Sanusi Agus Wahyudin Avia Enggar Tyasti, Avia Enggar Bani, Fajar Ciputra Daeng Budhi, Dharma Sutjiatmo, Bayu Prabowo Syaiful Ahmar