Jurnal STRATEGI - Jurnal Maranatha

Analisis Tingkat Keberhasilan Studi melalui Visualisasi Data menggunakan Microsoft Power BI pada Perguruan Tinggi Swasta di Bandung

2023-11-22T01:34:20+00:00

The development of the flow of information that is easily and quickly obtained, especially in the field of education, creates competition among universities. Improving the quality of education is one of the efforts of tertiary institutions to remain competitive. The quality of education at each tertiary institution is indicated by the accreditation rating. To obtain Superior accreditation, tertiary institutions must meet predetermined assessment indicators, including an assessment of the average GPA, the average length of study, the percentage of timely graduates and the percentage of study success. Data visualization is one way to find out the achievement of each of these assessment indicators. With the help of Microsoft SQL server studio in carrying out data processing, it can help carry out data analysis, especially through descriptive analysis methods, which are then presented through data visualization in the form of dashboards with the help of Microsoft Power BI tools. Presentation of data aims to determine the level of study success as well as a basis for evaluating higher education leaders, faculties and study programs in making decisions.

Pengembangan Model Kecerdasan Mesin Extreme Gradient Boosting Untuk Prediksi Keberhasilan Studi Mahasiswa

2023-11-22T01:34:20+00:00

The purpose of this study is to investigate the application of the Extreme Gradient Boosting (XGBOOST) model in machine learning for a dataset on student academic achievement. The research employs a quantitative approach, utilizing student retention data and conducting data processing in Jupyter Notebook. The primary outcome of this study is the performance evaluation of the Extreme Gradient Boosting machine learning model. The significance of this research lies in the development of a machine learning model that can aid higher education institutions in forecasting student academic success. The key discoveries of this study encompass predictive factors associated with student academic achievement. The Extreme Gradient Boosting model has demonstrated its effectiveness in predicting the student academic success dataset with an accuracy rate of 76.8%.

Pembuatan Aplikasi Berbagi Resep Masakan

2023-11-22T01:34:20+00:00

Cooking is an activity that is already ingrained in the daily lives of indonesian people. However, cooking sometimes can be a difficult task to accomplish due to the difficulty in finding information on how to prepare a dish or finding ingredients to make a particular dish. Sometimes, a person's intention to cook is abandoned due to these difficulties. A recipe-sharing application that also provides an in-app purchasing service is expected to be the solution to these problems. The development of a recipe-sharing application called Recipee is divided into two main parts: the development of the back-end application and the development of the mobile application. With the help of Flutter and Ruby on Rails frameworks, this recipe-sharing application has passed several testing phases and is ready for use. Unfortunately, there are still some limitations that prevent this application from being widely used or operated commercially.

Kesiapan Pengenalan Dasar Teknologi Informasi Dengan Virtual Youtuber Menggunakan Analisis Kuesioner

2023-11-22T01:34:20+00:00

YouTube is one of the biggest video platform that were most widely used today, and YouTube also has a new feature called YouTube Shorts. With the YouTube Shorts feature, YouTube has more selling value to its users. One of its users is Virtual Youtuber, with the arrival of Virtual Youtuber, many young people came to the platform to watch Virtual Youtuber content. Users come and watch Virtual Youtuber because of the attractive design and the various unique personalities of the characters. Information Technology (IT) itself is a hard to discuss and understand topics. The purpose of this research is to see whether YouTube Shorts combined with Virtual Youtuber with basic introduction to Information Technology (IT), are ready to make Information Technology (IT) much more easier to understand and more interesting. Shorts video will be combined with a questionnaire and analyzed to determine the level of readiness.

Interpretasi Model Machine Learning Terhadap Data Siswa Siswi di Sekolah Internasional

2023-11-22T01:34:20+00:00

This TA report is entitled "Machine Learning Interpretation of International Student Data". This report contains an interpretation effort that can be made by a machine learning on international student data. This report aims to find an insight from plots that have been created and interpreted using machine learning algorithms. The dataset in this report is a dataset related to scores of international students. To perform the interpretation, the algorithm used is a linear regression algorithm. The applications and IDEs used in carrying out the machine learning interpretation process are Jupyter Notebook and R Studio. Jupyter Notebook is used to try to find the most suitable algorithm in the case of international student data. R Studio is used to create plots which will later be used to interpret the data. In R Studio, created plot is an effect plot and also an ALE plot. Both will be interpreted and the results of the interpretation can be used as an insight to find the cause of the predicted result of the value to be predicted.

Asistensi Mengajar Digital Marketing di SMP Santa Ursula Bandung (STRATEGI)

2023-11-22T01:34:20+00:00

Nowadays, in the field of education, particularly in the scope of junior high schools, there is empowerment to respond to the needs of 21st-century skills among students through digital marketing activities in schools. In this opportunity, the author attempted to teach digital marketing at Santa Ursula Junior High School Bandung and create marketing content at Lentera Bangsa School. The program will run for five months, from February 1st, 2023, until June 20th, 2023. This program aims to provide students with an understanding of the online marketing world and facilitate them in harnessing the potential of digital marketing. Several evaluations were identified in evaluating the work results, such as the limited time allocated for teaching and the lack of devices during practical exercises. The conclusion of this final project explains that the author has completed teaching Digital Marketing to the students of Santa Ursula Junior High School Bandung and the production of marketing content at Lentera Bangsa School Bandung. The author suggests condensing the material in each session and allowing students to bring their own devices to generate more output.

Perancangan Website Virtual Reality untuk Dekranasda Kota Bandung menggunakan A-Frame

2023-11-22T01:34:21+00:00

This research aims to design and implement a virtual reality website using A-Frame for Dekranasda Kota Bandung. The purpose of this research is to overcome the limitations of the existing 360° photo gallery on the Dekranasda website, which has limitations in providing more complete product information and is limited in its display. In this research, the development of virtual reality websites is carried out to improve the visitor experience in exploring SME (small and medium-sized enterprise) products displayed through the virtual reality websites. Within the virtual reality website, there are NPCs (non-player characters) that move randomly to product or art positions to add to the atmosphere in the gallery. This website can be dynamically managed on the gallery management page which stores data such as 2D images, videos, and 3D models. In addition, the use of a gallery editor, which is a modification of the three.js editor, can facilitate gallery management with just drag and drop. The research results show that the designed virtual reality website successfully provides a more interactive and effective experience for visitors in exploring displayed SME products

Analisis dan Prediksi Default Kartu Kredit dengan Model Machine Learning

2023-11-22T01:34:21+00:00

This research aims to study dataset partitioning, prediction, and model selection with the best performance in the case of credit card default classification. The trained models include logistic regression, k-nearest neighbor, artificial neural networks, decision trees, support vector machines, random forests, and gradient boosting. The objective is to determine the best model and the most suitable model for credit card default classification. The research involves dataset visualization, dataset preprocessing, model selection, parameter tuning for each model, and using machine learning models to predict the test dataset. Dataset visualization is conducted to understand dataset characteristics and identify patterns among features. Dataset preprocessing is performed to handle missing values, feature normalization or standardization, outlier removal, and encoding or transformation of categorical features. Model selection is carried out to choose the most appropriate machine learning model for credit card default classification. Parameter tuning for each model aims to improve model performance and generalization. Finally, the trained machine learning models are utilized to predict the test dataset and provide the final evaluation of model performance, specifically the F1 score.

Analisa Model Convolutional Neural Networks Lanjutan Terhadap Model Klasifikasi Pakaian

2023-11-22T01:34:21+00:00

Penelitian ini dilakukan dengan tujuan untuk mempelajari bagaimana cara untuk melakukan pelatihan dan pemilihan model yang baik. Pada penelitian ini dilakunan pelatihan terhadap model- model Convolutional Neural Networks Lanjutan, dengan tujuan untuk melakukan perbandingan kinerja model dan menentukan model mana yang tepat untuk digunakan untuk dalam kasus klasifikasi pakaian. Penelitian ini akan dilakukan terhadap beberapa model Convolutional Neural Networks Lanjutan yang superpower atau memiliki tingkat akurasi yang tinggi diantaranya adalah DenseNet, EfficientNetB6, EfficientNetB7, dan Xception. Dalam penelitian ini akan dilakukan dengan menggunakan dataset yang sama sebagai patokan untuk menilai kinerja tiap model. Berikut adalah hal-hal yang akan dilakukan dalam penelitian ini : Preprocessing dataset, Hyperparameter Tuning, Training Final Model, dan Penilaian F1_scores terhadap model yang akan diteliti. Tahapan Preprocesing dataset dilakukan untuk menghindari bias data, Hyperparameter Tuning guna memaksimalkan kinerja model, dan penilaian F1_scores terhadap final model dari setiap modelnya untuk melakukan perbandingan terhadap kinerja maksimum dari tiap model. Penilaian model yang akan dilakukan akan meliputi analisis terhadap model, durasi dan penilaian F1_Scores.

Pengembangan Aplikasi Mobile HabiTroops

2023-11-22T01:34:21+00:00

In this research, the development of a mobile application named HabiTroops was conducted with the aim of assisting in achieving regular habits. This application was developed using the Kotlin programming language and designed to easily and systematically manage habits. HabiTroops provides a convenient and practical solution for users to digitally manage habits. The main objective of this research is to develop this application in order to provide effective support in improving better habits. It is expected that the HabiTroops application can serve as a useful tool for users to achieve desired habit goals more easily and efficiently.

Pengembangan Customer Relationship Management System Pada Palangkaraya Petshop

2023-11-22T01:34:21+00:00

Petshop is a business shop that sells various types of pets and provides pet supplies, and pet grooming services. The problem that exists in this pet shop is regarding the product marketing system because it still uses ineffective methods such as managing product data, transactions, and interacting between sellers and buyers. The implementation of these interactions is carried out using the customer relationship management method. Customer relationship management is one way to make it easier for sellers to retain these customers. In addition, sellers can manage data obtained from interactions or relationships with these customers. The data that has been obtained from marketing and customers will increase and will increase in number over time. From these problems, an application is needed to facilitate operations in carrying out product marketing that can improve processes that are more optimal, effective, and efficient. The purpose of making this application is not only to make it easier to do product marketing but also to make it easier for sellers to recap data or archive data in making reports.

Sistem Informasi Penjualan Barang Berbasis Web (Studi Kasus : SRC Herlinah)

2023-11-22T01:34:21+00:00

In the current era of globalization, information media develops in line with technological developments. Information is something that is needed by all parties, for example, the company or management, information has become a very basic need. SRC stands for Sampoerna Retail Community. Sampoerna has been developing and increasing the competitiveness of traditional grocery stores since 2008. Herlinah store is one of the shops that partners with SRC. The Herlinah store sells various types of goods for daily needs, such as rice, sugar, oil, and other products. The manual system is still in effect at this store and the sales method is carried out by recording the process manually using notes. Such a process often creates problems in the data storage process in the form of documents that are easily damaged or even disappear and make consumers have to wait quite a long time when making payment transactions. The purpose of discussing this research is to create an application for selling goods that can help the Herlinah Shop to improve the performance of the Herlinah Store's SRC itself. The development model for creating the Toko Herlina SRC application use the waterfall method, with the PHP programming language, and XAMPP as the database. Testing on this application uses the Blackbox method.

Analisis Penjualan di Cabang Toko Serba Ada dengan Algoritma Machine Learning

2023-11-22T01:34:21+00:00

This research aims to analyze the factors influencing sales performance in a convenience store. The main focus of this study is to identify the factors affecting sales based on location zones and demographic characteristics. The research methodology involves collecting sales data from the convenience store over a period of time, as well as gathering data on store locations and zone demographics. Based on the collected data, various machine learning models such as multiple linear regression, Ridge Regression, Lasso, Elastic-Net, Bayesian Regression, Support Vector Machines (SVM), Gradient Boosting, and Random Forest are employed to analyze the relationship between the factors influencing sales. The scientific findings of this research provide a better understanding of the contributing factors to sales performance in the convenience store. These analysis results can guide store management in improving sales by optimizing the location and marketing strategies tailored to the local demographic characteristics.