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MENGOPTIMALKAN PROSES MANAJEMEN RISIKO INDUSTRI FURNITUR DENGAN IMPLEMENTASI ISO 31000 PENGELOLAAN RISIKO YANG SISTEMATIS Karunia, Wilis Arum; Ilham, Ilham
Jurnal MANAJERIAL Vol 23, No 2 (2024): Manajerial Volume 23 No. 2
Publisher : Universitas Pendidikan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17509/manajerial.v23i2.76988

Abstract

Implementasi ISO 31000 dalam manajemen risiko di industri furnitur memberikan solusi sistematis untuk mengidentifikasi, menganalisis, dan memitigasi berbagai risiko operasional dan strategis, seperti gangguan rantai pasok, kenaikan harga bahan baku, dan masalah pengiriman. Dengan menggunakan pendekatan kualitatif melalui studi kasus, analisis menunjukkan peningkatan efisiensi operasional, pengurangan kerugian, dan penguatan ketahanan bisnis setelah penerapan ISO 31000. Manfaat lain termasuk proses pengambilan keputusan yang lebih baik dan pengelolaan risiko yang lebih terukur. Rekomendasi utama adalah memperluas penggunaan ISO 31000 ke seluruh aspek operasi, termasuk rantai pasok dan manajemen keuangan, untuk meningkatkan efektivitas pengelolaan risiko. Meskipun demikian, terdapat keterbatasan dalam jumlah perusahaan yang dianalisis serta ruang lingkup data yang digunakan. Penelitian lanjutan dapat difokuskan pada integrasi ISO 31000 dengan teknologi untuk lebih mengoptimalkan pengelolaan risiko di industri furnitur.
Evaluasi Ancaman Baru Dalam Keamanan Informasi: Systematic Literature Review Tentang Kerentanan Cyber Security Pasca-Pandemi : Evaluating Emerging Threats In Information Security: A Systematic Literature Review On Post-Pandemic Cybersecurity Vulnerabilities Karunia, Wilis Arum; Zahra, Awanda Fitya; Amrozi, Yusuf
Cyber Security dan Forensik Digital Vol. 8 No. 1 (2025): Edisi Mei 2025
Publisher : Fakultas Sains dan Teknologi UIN Sunan Kalijaga Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14421/csecurity.2025.8.1.4889

Abstract

Pandemi COVID-19 telah mempercepat transformasi digital di berbagai sektor, yang disertai dengan peningkatan risiko dan ancaman keamanan siber. Penelitian ini menggunakan pendekatan Systematic Literature Review (SLR) untuk mengidentifikasi ancaman keamanan siber yang muncul selama pandemi serta strategi mitigasi yang telah diterapkan. Hasil penelitian menunjukkan bahwa serangan seperti phishing, malware, ransomware, dan serangan DDoS meningkat signifikan, dengan sektor kesehatan dan keuangan menjadi target utama. Selain itu, faktor manusia, seperti stres kerja jarak jauh dan kurangnya pelatihan keamanan, turut berkontribusi pada kerentanan sistem. Strategi mitigasi yang terbukti efektif mencakup implementasi autentikasi multi-faktor (MFA), enkripsi data, pelatihan kesadaran keamanan, dan pemantauan real-time. Namun, transformasi digital yang dilakukan secara terburu-buru tanpa perencanaan keamanan menjadi tantangan utama yang harus diatasi. Penelitian ini memberikan wawasan penting bagi organisasi untuk meningkatkan ketahanan siber melalui integrasi teknologi, kebijakan keamanan, dan pelatihan karyawan yang berkelanjutan. Implikasi dari penelitian ini diharapkan dapat membantu pengembangan strategi keamanan siber yang lebih tangguh untuk menghadapi tantangan di masa depan. Kata kunci: keamanan siber, pandemi covid-19, ancaman siber, mitigasi, transformasi digital, pelatihan keamanan ------------------------ Abstract The COVID-19 pandemic has accelerated digital transformation across various sectors, accompanied by increased risks and cybersecurity threats. This study aims to identify cybersecurity threats that emerged during the pandemic and evaluate the mitigation strategies that have been implemented, using a Systematic Literature Review (SLR) approach. The research identified 53 articles during the initial search phase. Subsequently, a preliminary analysis was conducted by reviewing the titles and abstracts to assess the relevance of the articles, narrowing the selection to 21 articles. At the final stage, an in-depth evaluation was performed to ensure the quality and relevance of the articles to the research focus, resulting in 12 articles being selected for the literature review. The findings reveal a significant increase in attacks such as phishing, malware, ransomware, and DDoS, with the healthcare and financial sectors being primary targets. Additionally, human factors, such as stress from remote work and a lack of security training, contributed to system vulnerabilities. Effective mitigation strategies included the implementation of multi-factor authentication (MFA), data encryption, security awareness training, and real-time monitoring. However, the rapid digital transformation carried out without proper security planning posed a major challenge that needs to be addressed. This research provides valuable insights for organizations to enhance cyber resilience through the integration of technology, security policies, and continuous employee training. The implications of this study are expected to aid in the development of more robust cybersecurity strategies to address future challenges. Keywords: cybersecurity, covid-19 pandemic, cyber threats, mitigation, digital transformation, security training  
Classification of Vegetable Types Using the Convolutional Neural Network (CNN) Algorithm Karunia, Wilis Arum; Puspita, Safriya Murni; Rolliawati, Dwi; Yusuf, Ahmad
Paradigma - Jurnal Komputer dan Informatika Vol. 27 No. 1 (2025): March 2025 Period
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/p.v27i1.7577

Abstract

This study aims to classify vegetable types using the Convolutional Neural Network (CNN) algorithm with a dataset encompassing 15 vegetable classes and a total of 31,000 images. By utilizing the TensorFlow and Keras libraries, the CNN model was designed with convolutional, pooling, and dense layers to recognize visual features such as color, texture, and shape. The results indicate a highest validation accuracy of 95.83% and a testing accuracy of 93%. This research contributes to the application of the CNN algorithm for image classification and demonstrates its potential in handling multi-class datasets effectively. However, since the vegetables used have very distinct shapes and textures, this study is more relevant in the context of the technical application of the CNN algorithm rather than practical benefits. The research would be more impactful if applied to vegetables with similar shapes and characteristics, thereby supporting farmers or individuals studying vegetable traits in greater depth. Additionally, such an approach could address challenges in differentiating visually similar vegetable types, making the technology more valuable in real-world agricultural or educational settings.
Analisis Komunikasi Interpersonal Terhadap Kinerja Pegawai Kemendukbangga/ BKKBN Provinsi Jawa Timur Karunia, Wilis Arum; Illah, Aina Nur; Puspita, Safriya Murni; Mohammad Khusnu Milad
Jurnal Intelek Insan Cendikia Vol. 2 No. 5 (2025): MEI 2025
Publisher : PT. Intelek Cendikiawan Nusantara

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

Abstract

Interpersonal communication is a key factor in enhancing work effectiveness and employee performance in government organizations. This research seeks to examine the influence of interpersonal communication on employee performance at BKKBN East Java Province. Utilizing a qualitative approach, data collection methods include observation, interviews, and documentation. The results reveal that effective interpersonal communication enhances coordination, increase productivity, and create a harmonious work environment. However, several barriers hinder communication effectiveness, such as a lack of openness, differences in communication styles, rigid organizational culture, and limitations in communication technology. To address these challenges, several strategies are recommended, including enhancing communication training, promoting an open communication culture, optimizing the use of technology, and fostering more responsive leadership. With the right strategies, interpersonal communication can serve as a critical factor in improving employee performance and achieving organizational goals.