Open Journal - Universitas Komputer Indonesia
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Analisis Video Animasi Kampanye Anti Bunuh Diri WHO Tahun 2019
No full textPreventing suicide: Information for teachers is a 42-second animated video, publication media for the WHO 2019 anti-suicide campaign, discussing suicide among adolescents is a real and inherent phenomenon in society, through this illustration other important information will be conveyed through animated videos. Against this background, the urgency in this research is to analyze the content of the animated video which contains elements of framing devices (methaphors, catchphrases, exemplars, depictions, and visual images) and reasoning devices (roots, and appeal to principle) based on Gamson and Modiglani\u27s framing theory model. The results of this research can show the visual elements in the animated video that contain elements of framing devices and reasoning devices displayed in the animated video. The benefit of this research is to understand how framing analysis frames or conveys problems by displaying creative visuals that can attract the attention of its target audience.Preventing suicide: Information for teacher merupakan video animasi berdurasi 42 detik, media publikasi kampanye anti bunuh diri WHO 2019, membahas tentang bunuh diri dikalangan remaja merupakan fenomena nyata dan melekat dengan masyarakat, melalui ilustrasi inilah informasi penting lainnya akan disampaikan melalui video animasi. Melatarbelakangi hal tersebut, urgensi dalam penelitian ini adalah menganalisis isi dari video animasi tersebut yang memuat unsur framing device (methaphors, catchphrases, exemplars, depictions, dan visual image) serta reasoning device (roots, dan appeal to principle) berdasarkan teori framing model Gamson dan Modiglani. Hasil dari penelitian ini dapat menunjukan elemen - elemen visual dalam video animasi tersebut yang memuat unsur framing device dan reasoning device yang ditampilkan pada video animasi tersebut. Manfaat dari penelitian ini adalah memahami bagaimana analisis framing membingkai atau menyampaikan masalah dengan menampilkan visual yang kreatif yang dapat menarik perhatian target audiensnya
Development of Science and Technology Areas in Koi Fish Cultivation
Get PDFThe purpose of making this research in the area of science and technology aims to increase production yields and the quality of cultivation in order to improve the regional economy. To support the development of an area, the methods used are qualitative and quantitative methods to be used as material for analysis along with observations to directly review the area to be developed in Ciuyah Village, Kab. Sumedang. The results of the development of science and technology-based cultivation areas will involve the role of academics and government actors in accordance with the mandate of Permenristekdikti No. 25 of 2019 concerning Governance for the Implementation of Science and Technology Areas (KST). By involving the role of academics and government, it is hoped that it can accelerate the regional economy. In this case, the role of academics and government is needed to provide an innovation and supporting technology through assistance in it. Of course, with the role of academics and the government, it can affect the Development of Science and Technology-Based Cultivation Areas and improve the regional and regional economy
KLASIFIKASI MOLTING KEPITING SOKA MENGGUNAKAN ALGORITMA CONVOLUSIONAL NEURAL NETWORK
Get PDFKepiting Soka memiliki nilai ekonomi tinggi karena seluruh bagian tubuhnya dapat dimakan selama fase molting, saat cangkangnya lunak. Proses ini berlangsung singkat, hanya sekitar 5 jam sebelum cangkang mengeras kembali. Deteksi molting secara otomatis sangat diperlukan untuk mengoptimalkan waktu panen dan mencegah kehilangan produksi. Teknologi deep learning menggunakan arsitektur MobileNetV2 telah menunjukkan efisiensi dalam klasifikasi gambar. Penelitian ini bertujuan untuk mengklasifikasi kepiting soka dalam kondisi molting menggunakan arsitektur MobileNetV2, berbeda dengan metode pembelajaran mesin sebelumnya. MobileNetV2 dipilih karena kemampuannya dalam klasifikasi citra dengan sumber daya komputasi terbatas. Dataset berisi 260 citra kepiting, dengan fokus pada kepiting soka molting dan tidak molting, diproses melalui augmentasi, resize, dan pembagian data (80% data training, 10% validasi, dan 10% testing). Model ini menghasilkan akurasi tinggi pada pelatihan dan validasi sebesar 100%, membuktikan kemampuannya untuk mendeteksi kepiting molting secara efisien dan model tidak mengalami overfitting. Arsitektur MobileNetV2 berpotensi untuk diaplikasikan dalam sistem klasifikasi kepiting soka berbasis perangkat seluler
Optimizing Career Choices in the World of Programming: A Web-Based Decision Support System with the Simple Additive Weighting (SAW) Method
Get PDFThis study proposes the development of a web-based Decision Support System (DSS) using the Simple Additive Weighting (SAW) method to help students choose a career in programming. By integrating data from online questionnaire surveys and observations, this research highlights the complexity of career choice in the world of programming. Criteria such as salary, work location, and educational requirements were identified as key factors in decision-making. The SAW method was chosen because of its ease of understanding, flexibility, and ability to handle complex problems. The system implementation process involves data collection, observation, web-based system design, and website development. The final results show that alternative A3 (Software development) received the highest preference weight, confirming it as the best choice based on the specified criteria. The use of DSS is expected to provide effective guidance for students in making more informed career decisions.Studi ini mengusulkan pengembangan Sistem Pendukung Keputusan (SPK) berbasis web menggunakan metode Simple Additive Weighting (SAW) untuk membantu mahasiswa dalam memilih karir di bidang pemrograman. Dengan mengintegrasikan data dari survei kuesioner online dan observasi, penelitian ini menyoroti kompleksitas pemilihan karir di dunia pemrograman. Kriteria-kriteria seperti gaji, lokasi kerja, dan persyaratan pendidikan diidentifikasi sebagai faktor utama dalam pengambilan keputusan. Metode SAW dipilih karena kemudahan pemahaman, fleksibilitas, dan kemampuannya menangani masalah kompleks. Proses implementasi sistem melibatkan pengumpulan data, observasi, perancangan sistem berbasis web, dan pengembangan website. Hasil akhir menunjukkan bahwa alternatif A3 (Pengembangan perangkat lunak) mendapatkan bobot preferensi tertinggi, menegaskan sebagai pilihan terbaik berdasarkan kriteria yang ditetapkan. Penggunaan SPK diharapkan dapat memberikan panduan yang efektif bagi mahasiswa dalam membuat keputusan karir yang lebih terinformasi
Tree-based Ensemble Machine Learning for Phishing Website Detection
Get PDFPhishing remains a prevalent and perilous cyber threat in the digital age, exploiting human vulnerabilities to deceive individuals into disclosing sensitive information. This paper presents a method to achieve high accuracy in phishing website detection using Tree-based Ensemble Machine Learning techniques. Through rigorous experimentation and evaluation, we identified RandomForest and ExtraTrees as the top-performing models, achieving accuracy, precision, recall, and F1 scores all exceeding 98%. Additionally, our study highlights the significance of feature selection techniques in enhancing model performance, with thresholding methods proving effective in retaining relevant features for classification. By addressing imbalanced datasets and optimizing hyperparameters, our models demonstrate robust detection capabilities against phishing attacks. These findings contribute to the advancement of cybersecurity measures and underscore the potential of ensemble machine learning in combatting online threats, ultimately enhancing internet user security
Prediksi Kelulusan Mata Kuliah Mahasiswa Teknologi Informasi Menggunakan Algoritma K-Nearest Neighbor
Get PDFThis research aims to develop a predictive model using the K-Nearest Neighbor (KNN) method to forecast the course completion of students in the Information Technology program. The issue at hand is the uncertainty in predicting student success based on historical data and specific attributes. This study focuses on the importance of understanding the factors that influence student success in the Database Management Systems course to provide accurate predictions and help improve student pass rates in this course. The objective of this research is to build a predictive model using the KNN algorithm and to implement this model using the PHP programming language. The study aims to offer valuable insights for educational institutions to enhance teaching and learning processes and to expand understanding of data mining concepts in specific case studies. The prediction aims to determine whether a student will pass or fail the Database Management Systems course based on predetermined training and testing data. By calculating the nearest distance between the training data and the test data. The results showed an accuracy rate of 90% for predicting course completion using k=5, with a dataset consisting of 40 training data points and 20 testing data points
Tinjauan Literatur Manajemen Risiko Cyber dalam Proyek: Identifikasi, Evaluasi, dan Mitigasi Ancaman
Get PDFIn today\u27s digital era, business projects are increasingly vulnerable to cyber threats, which can result in significant financial and reputational losses. This journal discusses an effective cyber risk management approach for projects, encompassing the identification, evaluation, and mitigation of digital threats. The objective is to provide an overview of risk management in projects. This journal explains how to identify risks by thoroughly analyzing various potential cyber threats, such as malware, phishing, and DDoS attacks that could impact the project. Subsequently, risk evaluation is conducted by assessing the vulnerability and potential impact of each identified threat, using a literature review method. The literature review includes the analysis of data obtained from relevant articles and books on the topic. The final stage involves risk mitigation, which includes developing strategies to reduce or eliminate the impact of threats, such as implementing security controls, providing employee education and training, and developing incident response plans. This study emphasizes the importance of a proactive and holistic approach to cyber risk management to ensure the success and sustainability of projects. The journal aims to provide an overview of risk management in projects, demonstrating that the integration of comprehensive cyber risk management practices can significantly enhance the resilience of projects against digital threats
PENGARUH TAX AVOIDANCE TERHADAP NILAI PERUSAHAAN PADA PERUSAHAAN MANUFAKTUR SEKTOR ANEKA INDUSTRI YANG TERDAFTAR DI BEI 2018-2021
Get PDFThe value of the company, which is indicated by the share price, is one of the factors considered by investors when investing in the company. The higher the share price, the higher the profit value that investors will receive. One way that companies increase company value is by practicing tax avoidance. When a company is able to minimize tax payments, the company is able to maintain its profits, this is a positive signal for investors. So the aim of this research is to prove empirically whether there is a connection between tax avoidance practices that occur in various industrial sector manufacturing companies and company value. The research was carried out using a quantitative approach, where the author will test the influence of the independent variable, namely Tax Avoidance, on the dependent variable, namely company value, which is proxied by Price to Book Value (PBV). The research population is Manufacturing Companies in the Various Industrial Sector spanning 2018-2021, while the research sample consists of 29 companies. The research results show that tax avoidance has a positive but not significant effect.Nilai Perusahaan yang diindikasikan dengan harga saham menjadi salah satu faktor pertimbangan investor untuk berinvestasi pada Perusahaan. Semakin naik harga saham maka semakin tinggi nilai keuntungan yang akan diterima investor. Salah satu cara yang dilakukan perusahaan dalam meningkatkan nilai perusahaan adalah dengan melakukan praktik penghindaran pajak. Ketika perusahaan mampu meminimalkan pembayaran pajak maka perusahaan mampu mempertahankan labanya, hal ini menjadi sinyal positif bagi investor. Sehingga tujuan dari penelitian ini untuk membuktikan secara empiris adakah keterkaitan praktik penghindaran pajak yang terjadi pada perusahaan Manufaktur Sektor Aneka Industri terhadap nilai perusahaan. Penelitian dilakukan dengan menggunakan pendekatan kuantitatif, dimana penulis akan menguji pengaruh variabel independen yaitu Tax Avoidance terhadap variabel dependen yaitu nilai perusahaan yang diproksikan dengan Price to Book Value (PBV). Populasi penelitian adalah perusahaan Manufaktur Sektor Aneka Industri dengan rentang tahun 2018-2021, sedangkan sampel penelitian berjumlah 29 perusahaan. Hasil penelitian menunjukkan bahwa tax avoidance berpengaruh positif tetapi tidak signifikan
The Influence of Social Media, Creator Content, and Brand Image on the Promotional Strategy of Music School Located in Bandung West Java Province
No full textSaat ini, banyak orang menggunakan media sosial untuk pemasaran. Media sosial dapat meningkatkan kemampuan komunikasi pasar. Bisnis dapat menggunakan media sosial untuk menampilkan produk mereka, memberikan detail produk, dan menanggapi pertanyaan dari publik dengan mengirimkan pesan langsung. Penelitian ini bertujuan untuk menguji bagaimana Yovie Music School (YMS) Antapani Bandung yang terletak di Kota Bandung, Provinsi Jawa Barat, menggunakan media sosial, pembuat konten, dan citra merek untuk mempromosikan dirinya. Regresi Linier Berganda digunakan dalam analisis statistik sebagai bagian dari metodologi penelitian kuantitatif. Sebanyak 314 siswa YMS Antapani Bandung menjadi populasi penelitian ini. Temuan penelitian menunjukkan bahwa media sosial, pembuat konten, dan citra merek tidak berpengaruh terhadap strategi promosi, tetapi media sosial, pembuat konten, dan citra merek memiliki dampak positif dan signifikan terhadap strategi promosi YMS Antapani Bandung secara bersamaan.Nowadays, a lot of people use social media for marketing. Social media can enhance market communication abilities. Businesses can use social media to display their items, give product details, and respond to inquiries from the public by sending direct messages. This study aims to examine how Yovie Music School (YMS) Antapani Bandung, situated in the City of Bandung, West Java Province, uses social media, content producers, and brand image to promote itself. Multiple Linear Regression is used in statistical analysis as part of the quantitative research methodology. 314 YMS Antapani Bandung students make up the study\u27s population. The findings indicated that social media, content creators, and brand image had no effect on promotion strategy, but that social media, content creators, and brand image all had a positive and significant impact on YMS Antapani Bandung\u27s promotion strategy at the same time
Perancangan Label Kemasan UMKM Kirihuchi Sebagai Media Promosi Untuk Meningkatkan Pemasaran Produk
No full textProduct packaging is an effective marketing tool that can influence buyer decisions, increase product selling value, and increase sales. The packaging of the Kirihuci, MSME product from Bandung produces chips made from Cilembu sweet potato has little selling value because it only uses ordinary plastic with packaging labels attached and does not contain complete information needed by consumers. The problem is Cilembu sweet potato chips are prone to breakage. Design packaging and attractive packaging labels are necessary to keep good quality of food and influence consumers. Qualitative research methods are used by conducting observations, interviews, and literature studies to collect design audits and obtain creative briefs. Then the analysis is carried out to get the packaging design references. The research is to purpose a packaging design with the Primary Display Panel standards (color, typography, visuals, and elements on the packaging). So, it can influence consumer purchasing decisions and can improve product marketing.Kemasan produk merupakan alat pemasaran efektif yang dapat mempengaruhi keputusan pembeli, meningkatkan nilai jual produk, dan meningkatkan penjualan. Kemasan produk UMKM Kirihuci asal Bandung yang memproduksi keripik berbahan baku ubi Cilembu kurang memiliki nilai jual karena hanya menggunakan plastik biasa yang ditempelkan label kemasan dan belum memuat informasi lengkap yang dibutuhkan oleh konsumen. Keripik ubi Cilembu merupakan makanan yang rawan hancur, sehingga dibutuhkan perancangan kemasan yang dapat menjaga makanan tidak rusak dan label kemasan yang menarik agar dapat mempengaruhi konsumen. Metode penelitian kualitatif digunakan untuk mengumpulkan audit desain dan mendapatkan creative brief. Kemudian analisis dilakukan untuk mendapatkan referensi desain kemasan. Tujuan dari penelitian ini adalah menyesuikan rancangan kemasan dengan standar Primary Display Panel (warna, tipografi, visual, dan elemen pada kemasan) sehingga dapat mempengaruhi keputusan pembelian konsumen dan dapat meningkatkan pemasaran produk