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BULLET : Jurnal Multidisiplin Ilmu
Published by CV. Multi Kreasi Media
ISSN : -     EISSN : 28292049     DOI : -
Core Subject : Humanities, Health, Education, Social,
Humanities Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Medicine & Pharmacology Nursing
- Ilmu Komputer - Kemasyarakatan - Kewirausahaan - Manajemen - Ekonomi - Manajemen - Agama - Ilmu Hukum - Pendidikan - Pertanian - Sastra - Teknik - Dan Bidang Ilmu Lainnya
Arjuna Subject : Umum - Umum
Articles 589 Documents
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Asking, Commanding, And Telling In “Over The Moon” Movie: A Study Of Directive Illocutionary Act Ayu Komang Sinta Berlian Pramitha, Gusti; Made Verayanti Utami, Ni
BULLET : Jurnal Multidisiplin Ilmu Vol. 3 No. 1 (2024): BULLET : Jurnal Multidisiplin Ilmu
Publisher : CV. Multi Kreasi Media

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The study aims to answer the research problem, which includes: (1) determining the 3 types of directive illocutionary act used by the characters in Over the Moon movie, and (2) analyzing the context of the situation of selected utterances expressed by the characters in Over the Moon movie. This research only focused on 3 kinds of directive illocutionary act, namely asking, commanding, and telling. The descriptive qualitative method was used to analyze the data, and the quantitative method was used to determine the frequency of the type directive illocutionary act found in the movie. In analyzing directive illocutionary act, the writer used theory from Searle and Vanderveken (1985) and analyzing the context of situation, the writer used theory from Halliday and Hassan (1989). There were 90 utterances found in that 3 types of directive illocutionary act as the result of this study. Asking act becomes dominant directive illocutionary act occured in this analysis, it took 39 utterances from 90 utterances. The second rank was commanding act, it took 27 utterances. Then the least occurrence act is telling act, it only appeared in 25 utterances. This study also focused to analyze the context of each utterance made by the characters in the movie, with the context of situation consisting of field, tenor, and mode..
Pengaruh Tipe Keterlibatan Konsumen Terhadap Kepercayaan Merek Dan Dampaknya Pada Keputusan Pembelian Sepeda Motor Di Kota Lamongan Masruroh; Kusumawan, Ardie
BULLET : Jurnal Multidisiplin Ilmu Vol. 3 No. 1 (2024): BULLET : Jurnal Multidisiplin Ilmu
Publisher : CV. Multi Kreasi Media

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The purpose of this research is examining the influence of type of consumer involvement on the brand trust to the purchase decision for the motorcycle in Lamongan. The instrument of this article is Path Analysis. This research design applies confirmatory study that uses survey approach. The primary data is obtained non probability with purposive sampling methode. The respondence are consumer who is purchase in the motorcycle dealer in Lamongan.The result of this research shows that the type of consumer involvement positively influence to the brand trust to the purchase decision,there is positively influence for brand trust to purchase intention,the variable of situational involvement have dominant influence to the brand trust and purchase intention. There are direct influence to the type of involvement to purchase intention while the brand trust as mediator.
Pengujian Kemurnian Minyak Kayu Putih Berbasis Electronic Nose Menggunakan Metode PCA Dan Neural Network Mujadin, Anwar; Putra Rifaldi, Syachrial; Nur Samijayani, Octarina; Suyono, Hadi; Sukardi; Lastriyanto, Anang
BULLET : Jurnal Multidisiplin Ilmu Vol. 3 No. 1 (2024): BULLET : Jurnal Multidisiplin Ilmu
Publisher : CV. Multi Kreasi Media

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Electronic nose (E-Nose) is one of the latest innovations that plays an important role in the identification of aromatic gases besides using gas chromatography-mass spectrometry (GCMS). Qualitative testing of aromatic materials using E-Nose combined with the multivariate principal component analysis (PCA) and neural network (NN) decision tree analysis methods is very necessary at this time. E-Nose in this research was used as a test tool for the concentration (purity) of aromatic gas from eucalyptus essential oil (Melaleuca leucadendron L.) with alcohol impurities. PCA will place the distribution of sample data then map it and group it. A mixture of eucalyptus oil and alcohol obtained PCA1 of 98.58%, while PCA2 had a value of 1.06% with an accumulation of 99.64%. The sample data was then integrated with the NN decision tree model and obtained excellent classification close to 100% while having good-fitting. by not experiencing a gap between training data and testing data. E-Nose requires a stable control system with accurate gas sensors with measurements in the order of milliVolts (mV).
SOLAR CELL INTEGRATION WITH RADIO WAVE AI FOR ENHANCED BUSINESS SUSTAINABILITY Kelvin Smith
BULLET : Jurnal Multidisiplin Ilmu Vol. 3 No. 1 (2024): BULLET : Jurnal Multidisiplin Ilmu
Publisher : CV. Multi Kreasi Media

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Within the rapidly expanding field of sustainable technology and commercial innovation, the integration of solar cells, radio wave technology, and artificial intelligence (AI) is an exciting prospect. The intricate interactions between these technologies and the substantial business implications they have for various industries are examined in this essay. In the first section of the study, each component—solar cells, radio wave technology, and artificial intelligence—is briefly described, along with its present applications and fundamental concepts. The revolutionary potential presented by these technologies are highlighted in the following sections, which also explore the different ways in which they can coexist harmoniously. Integration of solar cells and radio wave technology is explored in the context of energy generation, wireless communication, and Internet of Things applications. Using case studies and actual installations, we describe how solar-powered radio towers, IoT sensors, drones, and smart infrastructure are transforming industries from telecom to agricultural. The paper examines the crucial function artificial intelligence (AI) plays in the efficient management of energy resources within this well-organized framework. It is said that load forecasting, AI-driven projections, and predictive maintenance are crucial tools for businesses trying to maximize cost savings and energy efficiency. The use of AI to optimize solar cell-radio wave systems is also explored. The commercial benefits and uses of this integration, such as cost savings, resilience, sustainability, energy efficiency, and competitive advantage, are carefully examined. We describe how businesses can employ these technologies in transportation, data centers, manufacturing, and commercial buildings, among other contexts, to attain operational excellence and better environmental stewardship.
Pengaruh Google Maps Sebagai Media Promosi Dan Kualitas Produk Terhadap Keputusan Pembelian Produk Umkm Disablonin Sidoarjo Setiawan, Yoyada; Dwi Nugroho, Agung; Ayu Sanggarwati, Diah
BULLET : Jurnal Multidisiplin Ilmu Vol. 3 No. 1 (2024): BULLET : Jurnal Multidisiplin Ilmu
Publisher : CV. Multi Kreasi Media

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This study aims to determine the effect of Google Maps as a promotional media and product quality on purchasing decisions for MSME products Disablonin Sidoarjo. The type of research applied is explanatory research with a quantitative approach method. The population in this study are consumers of Disablonin and the sample used was 96 respondents. The sampling technique used is purposive sampling. The data collection technique is primary data through questionnaires distributed via link Google Form. Data analysis in this study used multiple linear regression analysis, all tests were carried out using tools SPSS 25.0. From the results of the F test it is known that the significant value is 0.000 which is smaller than the value alpha 5% or 0.05 then Ho is rejected and Ha is accepted. With this it can be concluded that Google Maps as a promotional media (X1) and product quality (X2) simultaneously influence purchasing decisions (Y).
Efek Kuning Telur Terhadap Motilitas Sperma Ikan Lukas (Puntius bramoides Val) Pascakriopreservasi Pertiwi, Primasari; Abinawanto; Farisi, Salman
BULLET : Jurnal Multidisiplin Ilmu Vol. 3 No. 1 (2024): BULLET : Jurnal Multidisiplin Ilmu
Publisher : CV. Multi Kreasi Media

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The research aims to determine the effect of several concentrations of egg yolk as an effective natural cryoprotectant for cryopreservation and to analyze the quality of lukas fish spermatozoa (Puntius bramoides Val) 48 hours after cryopreservation. This research used a 9 treatments and 4 replications. The concentration of egg yolk used as a cryoprotectant was 0% (negative control), 5%, 7%, 9%, 11%, 13%, 15%, 17%, and 1% Carboxymethyl Cellulose (CMC) was used as a positive control. The results showed that the use of several concentrations of egg yolk as a natural extracellular cryoprotectant was able to significantly influence (P<0.005) the quality of Lukas fish spermatozoa 48 hours after cryopreservation. The use of egg yolk concentration of 9% is the optimum concentration in maintaining the motility of Lukas fish spermatozoa with the average percentage obtained each being 80.45 ± 0.93%.
Perbedaan Konsep Diri Antara Siswa Aktif Dan Siswa Pasif Dalam Aktifitas Pendidikan Jasmani Olahraga, Dan Kesehatan Di SDN 1 Slempit Kedamean Gresik Nugraha Murdiansyah, Bayu
BULLET : Jurnal Multidisiplin Ilmu Vol. 3 No. 1 (2024): BULLET : Jurnal Multidisiplin Ilmu
Publisher : CV. Multi Kreasi Media

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Education in a broad sense can cover the entire life process of each individual and their environment. Education is not only focused on receiving information about science but is also focused on forming the self-concept of the individuals involved. One form of education that involves physical activity is physical education, sports and health. Where the focus of research in education is not only limited to grades but how to shape an image of good physical and spiritual health as well as achievements in the field of sports. The general aim of this research is to find out the description of the differences in self-concept between active students and passive students in physical education, sports and health activities. The specific aim of this research is to determine the extent of the differences in self-concept between active and passive students in physical education, sports and health activities at SDN 1 Slempit, in order to form a better self-image for students in the future. This research is quantitative descriptive. The research method used is an ex post facto method where the researcher does not control the independent variable directly because the manifestation of the variable has already occurred, or because the variable basically cannot be manipulated. The data collection instrument in this research used a questionnaire. In this study, the population members were class V students at SDN 1 Slempit, Kedamean District, Gresik Regency, totaling 36 students. Based on the results of calculations carried out in collecting data from two different populations, namely active students and active students and passive students in physical education, sports and health activities, the results of the calculations show that p value = 0.0001 is smaller than pα = 0 .05. Thus, there are differences in self-concept between active students and passive students in physical education, sports and health activities. This shows that physical education, sports and health activities are able to form self-concept (self-image) in students.
Perancangan Desain Antarmuka Website Katalog Produk Furniture (Studi Kasus: UD. Prana Meubel) Kurniawan, Bagas; Karnadi, Karnadi
BULLET : Jurnal Multidisiplin Ilmu Vol. 3 No. 1 (2024): BULLET : Jurnal Multidisiplin Ilmu
Publisher : CV. Multi Kreasi Media

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This study aims to design an optimal furniture product catalog website interface design with a focus on aspects of functionality, clarity, aesthetics, and responsiveness, using UD. Prana Meubel as a case study. Through analysis of the company's business needs, understanding of user preferences, and exploration of effective design trends, this research resulted in an interface design that reflects UD's brand identity. Prana Meubel, pays attention to product search functionality, intuitive navigation, as well as attractive product visualization. It is hoped that the results of this study can contribute to the understanding of the importance of website interface design in the furniture industry, as well as provide practical guidance for similar companies in improving their online presence and user experience.
AI-POWERED HEALTHCARE REVOLUTION: AN EXTENSIVE EXAMINATION OF INNOVATIVE METHODS IN CANCER TREATMENT Murad Khan; Ashish Shiwlani; Muhammad Umer Qayyum; Abdul Mannan Khan Sherani; Hafiz Khawar Hussain
BULLET : Jurnal Multidisiplin Ilmu Vol. 3 No. 1 (2024): BULLET : Jurnal Multidisiplin Ilmu
Publisher : CV. Multi Kreasi Media

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Abstract: This study examines the various ways that artificial intelligence (AI) is being used into the field of cancer medicine, with an emphasis on innovative techniques and advances in healthcare. The article, titled "AI Healthcare and Novel Approaches in the Field of Cancer Medicine," explores how AI is revolutionizing a number of fields, including population health management, clinical decision support, drug discovery, pathology analysis, diagnostic imaging, predictive modeling, and predictive modeling. The essay starts out by exploring the revolutionary role that artificial intelligence (AI) is playing in diagnostic imaging, where algorithms are demonstrating exceptional accuracy in identifying anomalies, especially in MRIs, CT scans, and mammograms. The tailoring of cancer treatments based on unique molecular profiles, bringing in a new age of targeted therapies, and minimizing side effects are the main themes that arise from precision oncology. AI-powered clinical decision support systems analyze a variety of patient data to improve the decision-making process for medical personnel. As a crucial component of cancer medicine, predictive modeling provides insights into disease development, therapeutic responses, survival prognostication, and the identification of high-risk patients. The study highlights how AI can improve clinical trials, speed up drug research and development, and change pathology and histology analysis to provide more precise cancer diagnosis.
Implementation of artificial intelligence in biotechnology for rapid drug discovery and enabling personalized treatment through vaccines and therapeutic products Anirudh Mehta
BULLET : Jurnal Multidisiplin Ilmu Vol. 1 No. 01 (2022): BULLET : Jurnal Multidisiplin Ilmu
Publisher : CV. Multi Kreasi Media

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A new era of healthcare and biomedical research has been brought about by the merging of biotechnology with artificial intelligence (AI). This integration presents previously unheard-of prospects to expand scientific understanding, expedite medication discovery, and tailor therapies. In this study, we examine the ways in which biotechnology and artificial intelligence might work together to improve healthcare in a number of areas, such as individualized treatment plans, quick drug discovery, and the creation of therapeutic items. We go over how artificial intelligence (AI) algorithms use massive amounts of biological and chemical data to forecast medication success, optimize treatment plans, and speed up the search for new treatments. We also look at how biotechnology can be used to translate AI-driven predictions into interventions that are applicable to clinical settings, such as the creation of customized vaccinations, gene therapies, and products for regenerative medicine. We draw attention to the difficulties and constraints that come with integrating biotechnology and AI in healthcare, such as the complexity and interpretability of the data, ethical issues, legal barriers, and societal ramifications. Lastly, we talk about the potential applications of biotechnology and AI in healthcare going forward, such as the creation of more understandable AI algorithms, the fusion of systems biology and multi-omics data, and the development of customized medical devices and regenerative medicine treatments. We can fully utilize biotechnology and AI to change healthcare delivery, enhance patient outcomes, and influence the course of medicine by tackling these issues and embracing these new approaches.

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