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All Journal Journal of Economic, Bussines and Accounting (COSTING) Journal of Applied Data Sciences Jurnal Ilmiah MEA (Manajemen, Ekonomi, dan Akuntansi) Strata Business Review Multidiscience: Journal of Multidisciplinary Science
Achsan, Harry Tursulistyono Yani
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Engineering Medicine & Pharmacology Social Sciences

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Efficient Web Mining on MyAnimeList: A Concurrency-Driven Approach Using the Go Programming Language Putra, Muhammad Daffa Arviano; Dewi, Deshinta Arrova; Putri, Wahyuningdiah Trisari Harsanti; Achsan, Harry Tursulistyono Yani
Journal of Applied Data Sciences Vol 5, No 3: SEPTEMBER 2024
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/jads.v5i3.352

Abstract

Anime is a globally popular form of entertainment, with the industry experiencing rapid growth in recent years. Despite the wealth of anime data available on MyAnimeList, the largest community-driven platform for anime enthusiasts, existing publicly available datasets are often outdated and incomplete. This presents a challenge for data science research, as the increasing volume of anime information requires more efficient data extraction methods. This research aims to address this challenge by developing a concurrent web mining program using the Go programming language. Leveraging Go's concurrency capabilities, our program efficiently extracted anime data from MyAnimeList, iterating through anime pages from ID 1 to 52,991. To overcome potential issues like rate limits and server timeouts, we implemented a two-phase execution strategy. As a result, the program successfully gathered 23,105 anime records within 8.5 hours. The extracted data has been transformed into a comprehensive dataset and made publicly available in CSV format. This research demonstrates the effectiveness of concurrent web mining for large-scale data extraction and offers a valuable resource for future data-driven research in the anime industry.
A Literature Review on Current Application of Artificial Intelligence Technology in Medical Devices Manufacturing Putro, Bayu Suryo; Nugrah, Evans Afriant; Maulana, Galuh; Achsan, Harry Tursulistyono Yani
Multidiscience : Journal of Multidisciplinary Science Vol. 2 No. 1 (2025): January
Publisher : CV. Strata Persada Academia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59631/multidiscience.v2i1.271

Abstract

The medical device industry is currently an industry with very high growth in Indonesia. The growth of this manufacturing industry must be accompanied by the development of aspects in it along with the industrial revolution 5.0. Manufacturing and quality assurance are essential aspects of the medical device industry. They have a substantial impact on the safety, efficacy, and adherence to strict regulations of products. This systematic literature review aims to provide a discusses the critical role of AI in optimizing aspects of quality control and quality assurance in the medical device industry. In manufacturing, AI optimizes quality control through AI-enabled inspection systems that can detect microscopic defects and ensure compliance with stringent regulatory standards. The visual inspection process utilizes AI technology via computer vision and machine learning. In addition, automation of documentation processes for regulatory compliance by performing complex analysis and tasks involving large amounts of regulatory data. AI-based technology has revolutionized medical device manufacturing by enhancing quality control. However, challenges remain for its swift implementation in Indonesia, including issues with data availability and accuracy. It is anticipated that this issue will be resolved promptly to enable the swift implementation of this AI-based technology in Indonesia.
PERANCANGAN SISTEM INFORMASI MANAJEMEN UNTUK MENURUNKAN QTY RETURN KUE DARI CABANG KE PUSAT DENGAN PENERAPAN METODE RAD (RAPID APPLICATION DEVELOPMENT) PADA SYSTEM IPOS Alwika, Maresha Andratama; Anwar, Khairul; Fibriani, Mega; Achsan, Harry Tursulistyono Yani
Journal of Economic, Bussines and Accounting (COSTING) Vol 7 No 6 (2024): COSTING : Journal of Economic, Bussines and Accounting
Publisher : Institut Penelitian Matematika, Komputer, Keperawatan, Pendidikan dan Ekonomi (IPM2KPE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31539/costing.v7i6.13479

Abstract

Perkembangan perusahaan memerlukan manajemen sistem informasi yang dapat meningkatkan efisiensi kerja. Perusahaan kue A, yang mengalami peningkatan aktivitas operasional akibat ekspansi cabang, menghadapi tantangan besar terkait tingkat pengembalian kue, yang berdampak buruk pada kinerja finansial. Penelitian ini bertujuan untuk merancang sistem informasi manajemen yang dapat mengurangi jumlah pengembalian kue dari cabang ke pusat dengan menerapkan metode Rapid Application Development (RAD) pada sistem IPOS. Hasil implementasi menunjukkan penurunan yang signifikan dalam jumlah pengembalian selama tiga bulan setelah penerapan sistem. Penelitian ini membuktikan bahwa sistem informasi manajemen yang dirancang tidak hanya mengurangi pengembalian kue, tetapi juga meningkatkan efisiensi produksi dan kepuasan pelanggan.
Implementasi Cash Management System dalam Meningkatkan Efisiensi dan Transparansi Pengelolaan Kas pada Industri Manufaktur: Studi Kasus PT Cahaya Sejati Metal Sebagai Pengguna Kopra by Mandiri Tasya, Mutiara Septiani; Thoha, Muarif; Wardana, Muhammad Rezky; Achsan, Harry Tursulistyono Yani
Strata Business Review Vol. 2 No. 2 (2024): November
Publisher : CV. Strata Persada Academia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59631/sbr.v2i2.265

Abstract

When facilitating transparent cash management, deploying the Cash Management System (CMS) is practical and efficient. Through a qualitative descriptive case study approach, this research seeks to understand the function that CMS Kopra by Mandiri plays in the management of cash at PT Cahaya Sejati Metal. The data for this study comes from a review of the relevant literature, interviews, and observations. Even though the change from authorization that was previously dependent on hardware to approval that is based on smartphone applications creates obstacles, the findings provide evidence that CMS has the potential to improve the effectiveness and transparency of cash management. It is necessary to provide user training, technical support, and security assurances to fulfill the requirements for a successful transition.
TRANSFORMASI DIGITAL DALAM PENGEMBANGAN PRODUK MANUFAKTUR : KEUNGGULAN DATA LAKEHOUSE SEBAGAI SOLUSI TERINTEGRASI Rumanto, Yuliadi; Susilawati, Yulianti Ika; Maslahah, Ulfah; Yusuf, Yusuf; Achsan, Harry Tursulistyono Yani
Jurnal Ilmiah Manajemen, Ekonomi, & Akuntansi (MEA) Vol 8 No 3 (2024): Edisi September - Desember 2024
Publisher : LPPM STIE Muhammadiah Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31955/mea.v8i3.4829

Abstract

Transformasi digital telah mengubah cara perusahaan manufaktur mengelola data dan mengembangkan produk mereka. Data Lakehouse, sebagai solusi arsitektur data yang inovatif, menggabungkan keunggulan Data Lake dan Data Warehouse untuk mengatasi tantangan pengelolaan data yang terstruktur dan tidak terstruktur. Penelitian ini mengeksplorasi dampak implementasi Data Lakehouse dalam mengoptimalkan pengembangan produk dan kolaborasi antar departemen di industri manufaktur, dengan studi kasus dari Procter & Gamble (P&G), Shell, Comcast, dan ABB. Hasil penelitian menunjukkan pengurangan siklus pengembangan produk hingga 40% dan peningkatan efisiensi kolaborasi lintas tim sebesar 60%. Penelitian ini menyimpulkan bahwa Data Lakehouse merupakan solusi yang kuat untuk mempercepat pengembangan produk dalam industri yang semakin terdisrupsi oleh teknologi digital.
Co-Authors Alwika, Maresha Andratama Dewi, Deshinta Arrova Fibriani, Mega Khairul Anwar Maslahah, Ulfah Maulana, Galuh Nugrah, Evans Afriant Putra, Muhammad Daffa Arviano Putro, Bayu Suryo Rumanto, Yuliadi Susilawati, Yulianti Ika Tasya, Mutiara Septiani Thoha, Muarif Wahyuningdiah Trisari Harsanti Putri Wardana, Muhammad Rezky Yusuf Yusuf