7115 research outputs found
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Formula for Two-dimensional Shapes and Three-dimensional Shapes: Rumus Bangun Datar dan Bangun Ruang
The Mathematical Pocketbook of Planar Figures and Space Figures is a book designed to make it easier for elementary/MI students to understand basic mathematical concepts related to plane figures and space figures. This pocket book consists of 14 back-to-back pages. This pocket book contains a collection of formulas and properties of flat shapes and geometric figures that are easy to understand, accompanied by relevant examples of questions and online games by scanning the barcode in the pocket book. Thus, it is hoped that the mathematics pocket book about flat shapes and spatial shapes can be a solution to overcome students' difficulties in understanding this material.
 
Application of Artificial Intelligence and Machine Learning in The E-Commerce Services Industry: A Bibliometric Review: Penerapan Kecerdasan Buatan dan Pembelajaran Mesin dalam Industri Layanan E-Commerce: Tinjauan Bibliometrik
This research has a related aim to determine the development map of the scientific publication "Application of Artificial Intelligence and Machine Learning in the E-Commerce Services Industry" which was carried out using the Scopus database using the keywords "artificial intelligence", "machine learning", "E-Commerce". In this research, researchers used quantitative methods using bibliometric analysis. Based on the search results, researchers found 2,715 scientific work documents which were then exported in CSV format, so that they could be processed using R- Packages and WebInterface Biblioshiny software. The results we found were scientific publications containing the Application of Artificial Intelligence and Machine Learning. in the E-Commerce Services Industry has been done a lot as the years go by. This is of course very useful for research that will be carried out in the future as a reference in conducting research related to the Application of AI and ML in the E-Commerce Services Industry
Semiotic Analysis: Representation of Women’s Struggle in Kretek Industry in Kretek Girl Movie: Analisis Semiotika : Representasi Perjuangan Perempuan Dalam Industri Kretek Pada Film Gadis Kretek
This Film is a mass media that can influence our views and beliefs, by combining audio and visual elements to convey the messages contained therein. The presence of women in the media industry is an interesting study to follow. The movie “Gadis Kretek” contains the movement of women's struggle in the kretek industry, highlighting the issue of gender inequality that is still influenced by patriarchal ideology. This research uses John Fiske's semiotic analysis method to understand the representation of women in the film, focusing on three levels: reality, representation, and ideology. The conclusion of this research shows the struggle in facing patriarchal inequality and domination in the movie “Gadis Kretek”
Description of Parenting Stress in Working Mothers at PT TIF-3 ROC Unit: Gambaran Stres Pengasuhan pada Ibu Bekerja di PT TIF-3 Unit ROC
This study is motivated by the existence of problems related to parenting stress in working mothers at PT TIF-3 ROC unit. Working mothers often face dual role challenges, namely professional work responsibilities and childcare, which can increase the risk of parenting stress. This research method is descriptive quantitative with a population of working mothers at PT TIF-3 ROC unit who have children totaling 53 employees. Sample determination using purposive sampling technique. Data collection in this study used a psychological preparation scale Likert scale model adapted from previous research. Data analysis in this study used descriptive statistical tests with the help of Microsoft Excel. The results showed that parenting stress in working mothers at PT TIF-3 ROC Unit was in the moderate to high category with a percentage of 81%. This shows that working mothers face significant pressure in carrying out dual roles as professional workers as well as child caregivers
User Acceptance Analysis of the Multipurpose Financing Analysis Application at Sharia Bank X Using the UTAUT Model : Analisis Akseptasi Pengguna Aplikasi Analisa Pembiayaan Multiguna Pada Bank Syariah X Dengan Model UTAUT
This research aims to determine the level of user acceptance of the Excel application for multi-purpose financing analysis at Bank Syariah X. The use of the application in the financing business process is expected to facilitate the work of AO financing analysts, supported by good technological facilities. The method used by the author is qualitative, delving into the acceptance of computer technology at Bank Syariah X as a tool for analyzing multipurpose financing, and conducting interviews and direct observations to achieve optimal results. The results obtained from this study indicate that the level of acceptance among employees of Bank Syariah X towards the Excel application for multi-purpose financing analysis is considered quite good, with 75% of respondents stating that the use of the application is easy. However, other sources also believe that the use of this Excel application is quite complicated and still requires better improvements
Using K-Nearest Neighbor to Classify Hate Speech and Emotions on Twitter: Penggunaan K-Nearest Neighbor untuk Klasifikasi Hate Speech dan Emosi pada Twitter
Hate speech is an expression that has a purpose against an individual or group. The expression can be in the form of inciting and spreading slander, justifying, or encouraging hatred, even discrimination and violence based on various reasons. This study focuses on the Twitter platform using the k-nearest neighbor method. In this study, the dataset used was 1842 "non-hate speech" data and 2130 "hate speech," which was divided into 80% training data and 20% test data. The results of the evaluation of the test data using the confusion matrix showed an average accuracy value for hate speech classification of 0.855, while for emotion classification it was 0.534. Based on these results, it can be concluded that the k-nearest neighbor algorithm is quite effective in analyzing and classifying hate speech and emotions in Twitter text with certain datasets
Isolation and Identification of Fungal Contaminants in Porang (Amorphopallus muelleri blume) Plant Tissue Culture with the Addition of Hormone BAP (Benzyl Amino Purine): Isolasi dan Identifikasi Kontaminan Jamur pada Kultur Jaringan Tanaman Porang (Amorphopallus muelleri blume) dengan Penambahan Hormon BAP (Benzyl Amino Purine)
This research identifies and describes contaminant fungi in Porang (Amorphophallus muelleri Blume) Madiun variety planlets, providing insights into their characteristics as a basis for contamination control. This is crucial for enhancing Porang cultivation, productivity, and seedling quality. Conducted from August to November 2024 at the Tissue Culture Laboratory of CV. Embryo Multi Agro and the Microbiology and Biotechnology Laboratory of Muhammadiyah Sidoarjo University, the study used a descriptive approach. Planlets in the shoot growth phase were cultured in 1.5 ppm BAP (Benzyl Amino Purine) media. The study examined colony color, growth direction, surface shape, hyphae structure, and spore or conidia production. Five contaminant fungi were identified: Aspergillus flavus, Aspergillus niger, Aspergillus fumigatus, Rhizoctonia solani, and Rhizopus sp. These findings provide essential data for contamination management in Porang tissue culture
The Effect of Content Marketing on Tiktok and FOMO (Fear of Missing Out) on Impulsive Buying in UMSIDA Students: Pengaruh Content Marketing di Tiktok dan FOMO (Fear of Missing Out) Terhadap Impulsive Buying pada Mahasiswa UMSIDA
This study aims to determine the effect of marketing content on TikTok and the FoMO (Fear of Missing Out) phenomenon on impulsive buying at TikTok Shop for Muhammadiayah Sidoarjo University students. The method in this study is quantitative with an associative approach. Respondents were students of Muhammadiyah University of Sidoarjo, totaling 140 people, with purposive sampling technique, and data were taken by distributing questionnaires. The results of the study showed that the content marketing variable has an influence on the impulsive buying variable because it has a significance value of 0.006<0.05 and the FoMO variable has a significant and positive effect on impulsive buying with a significance value of 0.000 <0.05. The F test has a significance value obtained of 0.000 <0.05, which means that content marketing and FoMO together have a significant influence on impulsive buying. The coefficient of determination test value in Adjust R Square is 28.7%
Risk Based Productivity Improvement Strategy in Sugar Factories: Strategi Peningkatan Produktivitas Berbasis Risiko pada Pabrik Gula
PT. XYZ is inseparable from several risks that result in the disruption of the production process such as the suspension of the milling process, production downtime and high repair costs, and sugarcane milling that is not optimal. This research aims to develop a risk mitigation strategy to increase company productivity. The method used to identify potential failures in the production process is FMEA, which serves to detect potential machine failures. In addition, the AHP method is used to assist in hierarchical decision-making based on expert assessment. The results showed that the highest risk damage to the sugarcane grinding gear box, with a RPN value of 270. Therefore, the main strategic recommendations for PT. XYZ which was formulated using the AHP with the help of Expert Choice software produced an improvement proposal with the highest value, namely the regular addition of grease, which had a score of 0.298
Analysis of Total Productivity Factors and Proposed Improvements Using the OMAX and FTA Methods: Analisis Total Faktor Produktivitas dan Usulan Perbaikan dengan Penerapan Metode OMAX dan FTA
This research analyzes the productivity of service and manufacturing companies operating in the fields of consulting, design, fabrication and installation. In the period September 2023 to August 2024, the company was only able to complete 78% of orders, which resulted in customer dissatisfaction and a decrease in the number of orders. This research aims to calculate total productivity factors using the Objective Matrix (OMAX) and analyzing the factors causing the decline in productivity using Fault Tree Analysis (FTA). The OMAX calculation results show a total productivity of 47 with an index of 25.79%, where the number of machines is the main factor influencing operational performance. Meanwhile, FTA analysis revealed various root causes, including unavailable spare parts, mismatched maintenance schedules, untrained operators, as well as external factors such as sudden order requests, changes in production schedules, high machine costs, limited suppliers, and long delivery times