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All Journal SEIKO : Journal of Management & Business YUME : Journal of Management GEMA EKONOMI JTIM : Jurnal Teknologi Informasi dan Multimedia The Indonesian Journal of General Medicine Computer & Science Industrial Engineering Journal
Erick, Erick
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Computer Science & IT Decision Sciences, Operations Research & Management Dentistry Economics, Econometrics & Finance Health Professions Medicine & Pharmacology Public Health Social Sciences Veterinary

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A Literature Review of Pharmacologic Acute and Preventive Treatment for Migraine in Children and Adolescents Richard, Richard; Erick, Erick
The Indonesian Journal of General Medicine Vol. 2 No. 4 (2024): The Indonesian Journal of General Medicine
Publisher : International Medical Journal Corp. Ltd

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70070/xggad890

Abstract

Background: The literature on pharmacologic and non-pharmacologic treatments for migraine in children and adolescents highlights the complexity of managing this condition in a pediatric population. Literature Review: The management of acute migraine pain in pediatric patients necessitates individualized treatment plans that account for the unique pharmacokinetics and pharmacodynamics of medications in this age group. While paracetamol and ibuprofen are effective first-line treatments, some migraine episodes may remain refractory to these analgesics, indicating the need for alternative therapeutic options, such as triptans, despite their limited use in children. Conclusion: In conclusion, the current literature emphasizes the need for a multifaceted approach to migraine management in children and adolescents, integrating both pharmacologic and non-pharmacologic strategies. The limitations of existing pharmacological treatments, coupled with the promising results of non-pharmacological interventions, suggest that future research should focus on developing individualized treatment plans that address the unique needs of this population.
Perbandingan Support Vector Machine, Random Forest Classifier, dan K-Nearest Neighbour dalam Pendeteksian Anomali pada Jaringan DDos Haeruddin, Haeruddin; Erick, Erick; Aripradono, Heru Wijayanto
JTIM : Jurnal Teknologi Informasi dan Multimedia Vol. 7 No. 1 (2025): February
Publisher : Puslitbang Sekawan Institute Nusa Tenggara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35746/jtim.v7i1.628

Abstract

A Distributed Denial of Service (DDoS) attack poses a serious threat to network security and can disrupt online services by overwhelming the target server with excessive traffic. Effective detection of DDoS attacks requires a system capable of identifying anomalies in network traffic. In this context, Machine Learning (ML) offers an effective approach for classification and anomaly detection. However, different ML algorithms have varying strengths and weaknesses when processing large and complex network data. Therefore, this study aims to evaluate the performance of three ML algorithms: Support Vector Machine (SVM), Random Forest Classifier (RFC), and K-Nearest Neighbors (KNN) in detecting DDoS anomalies. The dataset used consists of 225,745 data points with 85 attributes that describe various characteristics of network traffic, such as destination port, flow duration, packet count, and packet size. This dataset is classified into two classes, BENIGN and DDoS, representing normal traffic and DDoS attacks, respectively. Evaluation is performed using several performance metrics, including accuracy, precision, recall, MCC (Matthews Correlation Coefficient), F-Measure, ROC Area, PRC Area, True Positive Rate (TPR), and False Positive Rate (FPR). The results show that the Random Forest Classifier (RFC) delivers the best performance with an accuracy of 99.99%, precision of 99.98%, recall of 100%, and a very low FPR of 0.02%. This is followed by the Support Vector Machine (SVM) with an accuracy of 99.91%, and the K-Nearest Neighbor (KNN) with an accuracy of 99.98%. All three algorithms demonstrate strong performance in detecting DDoS anomalies, with RFC slightly outperforming others in terms of consistency and higher classification capability. The findings of this study provide valuable insights for selecting the best algorithm to detect DDoS attacks in networks.
Analisis Pengaruh Supply Chain dan Enterprise Resource Planning Pada Kinerja PT Toyota Astra Motor Zai, Immanuel; Buntu, Nasar; Erick, Erick; Michelle, Michelle; Cecilia, Cecilia; Conny, Conny; Charlie, Charlie
YUME : Journal of Management Vol 5, No 2 (2022)
Publisher : Pascasarjana STIE Amkop Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37531/yum.v5i2.1740

Abstract

AbstrakSalah satu cara terbaik bagi suatu perusahaan untuk melayani pelanggan dan meningkatkan kinerja perusahaan mereka dengan baik adalah dengan menjadikan supply chain management dan penerapan Enterprise Resource Planning (ERP) yang efektif sebagai prioritas strategis. PT. Toyota Astra Motor memiliki production atau hasil produk dengan kualitas yang baik dengan harga yang berkompetitif yang dikarenakan adanya pengembangan dan perbaikan akan produk yang dihasilkan serta menjaga supply chain dari perusahaannya mulai dari mengembangkan kualitas bahan mentahnya, supplier-supplier, dan distribusi produk sehingga perusahaan akan tetap bertahan dan berkompeten dengan perusahaan-perusahaan otomotif lainnya di luar sana. Pada penelitian ini ditemukan bahwa system ERP dan Supply Chain berpengaruh signifikan terhadap kinerja PT Toyota Astra Motor dan juga akan dibahas mengenai pengaruh supply chain management dan enterprise resource management terhadap kinerja PT Toyota Astra Motor, pengaruh faktor yang dapat mempengaruhi kinerja supply chain management pada PT Toyota Astra Motor, serta penerapan system enterprise resource planning pada PT Toyota Astra Motor.Kata Kunci:  supply chain management, enterprise resource planning, kinerja perusahaan
Analisis Tingkat Resiko Strategis Fourtydays Coffee Jeslyn, Jeslyn; Tantra Wijaya, Antonio; Bernard, Bernard; Edwin, Edwin; Erick, Erick
GEMA EKONOMI Vol 11 No 6 (2022): GEMA EKONOMI
Publisher : Fakultas Ekonomi Universitas Gresik

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55129/https://doi.org/10.55129/.v12i4.2927

Abstract

Tujuan dari penulisan artikel ini adalah menganalisis dan mengidentifikasi resiko bisnis dari Fourtydays Coffee. Metode yang digunakan adalah metode kualitatif yaitu observasi dan wawancara untuk mendapatkan informasi secara detail. Berdasarkan hasil analis, Fourtydays Coffee memiliki resiko bisnis yang lumayan besar. Salah satu alasannya adalah lokasi yang tidak strategis dan jauh dari keramaian maupun pemukiman. Dengan hasil analisis ini, Fourtydays Coffee diharapkan agar dapat meningkatkan kinerja bisnis dan selalu inovatif agar dapat terus berkembang menjadi lebih besar. Saran untuk Fourtydays Coffee adalah selalu memberikan pelayanan terbaik dan memperhatikan kenyamanan pelanggan karena kenyamanan merupakan hal terpenting bagi semua pelanggan.
Analisis Pengaruh Faktor dan Risiko Cultural Environment pada Burger King Suprapto, Yandi; Wijaya, Antonio Tantra; Erick, Erick; Jeslyn, Jeslyn
SEIKO : Journal of Management & Business Vol 6, No 2.1 (2023)
Publisher : Program Pascasarjana STIE Amkop Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37531/sejaman.v6i2.4535

Abstract

Analisis ini dilaksanakan dengan tujuan untuk mengetahui pengaruh faktor dan risiko Cultural Environment dari Burger King. Burger King adalah salah satu perusahaan ritel makanan cepat saji yang besar di dunia. Metode yang digunakan dalam analisis ini adalah metode kualitatif dengan menganalisis, mengumpulkan data dan mengobservasi Burger King secara langsung. Hasil dan pembahasan dari analisis ini adalah Burger King berhasil beradaptasi dan menyesuaikan dengan budaya dari berbagai negara untuk meningkatkan bisnisnya. Selain itu, terdapat juga beberapa faktor penting yang berhasil diterapkan oleh Burger King seperti faktor bahasa, preferensi budaya, etika dan agama. Burger King tentunya juga memiliki dampak dan akibat dari risiko-risiko yang muncul dalam bisnis internasional. Oleh karena itu, saran yang dapat diberikan kepada Burger King adalah selalu konsisten dan harus beradaptasi cepat dengan perkembangan zaman. Burger King juga harus pintar dalam menyesuaikan budaya dari berbagai negara untuk menarik perhatian semua pelanggan yang ada di dunia. Kata Kunci: Faktor, Risiko, Budaya, Adaptasi
IMPLEMENTANSI AUGMENTED REALITY DALAM PEMILIHAN MENU MAKANAN DI FOOD COURT BERBASIS ANDROID Erick, Erick; Ekawati, Nia
Computer Science and Industrial Engineering Vol 4 No 2 (2021): Comasie
Publisher : LPPM Universitas Putera Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Technological developments are currently growing, one of which is augmented reality which is popular with the community, many companies have started using augmented reality to offer goods and food. Therefore, Foodcourt A2 needs to use augmented reality in order to attract customer attention in food selection through the application. The method used is the waterfall method which consists of requirements, design, implementation, testing and maintenance. The result of this study is an android-based food menu selection information system that makes it easier for customers to choose food menus.
Co-Authors Aripradono, Heru Wijayanto Bernard Bernard, Bernard Buntu, Nasar Cecilia, Cecilia Charlie Charlie, Charlie Conny, Conny Edwin Edwin Haeruddin Haeruddin Jeslyn, Jeslyn Michelle, Michelle Nia Ekawati, Nia Richard Richard Suprapto, Yandi Tantra Wijaya, Antonio Wijaya, Antonio Tantra Zai, Immanuel