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Achievement & Project
Buku “Integrasi Toko Offline dan Online”
Created
1/15/2024Ringkasan
Buku ini menggali esensi integrasi yang krusial antara toko fisik (offline) dan platform digital (online), dengan menggunakan Odoo sebagai katalisator penghubung. Menyoroti konsep dasar dan manfaat dari sinergi ini, buku membimbing pembaca untuk memahami teknologi Odoo secara mendalam, serta memandu langkah-langkah integrasi yang tepat.
Dari penjelasan konsep dasar hingga strategi pemasaran yang efektif, buku ini mencakup semua aspek penting dari integrasi toko offline dan online. Dengan memberikan gambaran lengkap dan studi kasus mendalam, pembaca akan diajak untuk merancang strategi terpadu yang memungkinkan pertumbuhan bisnis yang mantap diera perdagangan modern.Buku ini dirancang sebagai panduan komprehensif bagi pengusaha, manajer, dan siapa pun yang tertarik untuk memaksimalkan potensi bisnis mereka dengan menggabungkan kekuatan toko offline tradisional dan fleksibilitas platform online melalui platform Odoo.
Buku ini terdiri dari beberapa pembahasan, diantaranya:
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Sales Data Analysis Using Python Pandas, Numpy
Created
11/23/2023Ringkasan
Sales Data Analyst
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Predictive Modeling for Diabetes Diagnosis: A Machine Learning Approach Using Pima Indians Diabetes Database
Ringkasan
Predictive Modeling for Diabetes Diagnosis: A Machine Learning Approach Using Pima Indians Diabetes Database
Objective: To predict whether a patient has diabetes using a subset of the Pima Indians Diabetes Database provided by the National Institute of Diabetes and Digestive and Kidney Diseases.
Dataset:
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Top 10 scientific paper at the Labma Scientific Fair Conference 2022
Created
12/16/2020Ringkasan
December 15-17, 2022, it's a great experience is being a participant of the Oral Presentation "Automatic Quranic Arabic Completion for Quran Language Based on Recurrent Neural Network" Conference Labma Scientific Fair 2022 Universitas Islam Indonesia. Image 6
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Automatic Quranic Completion for Quran Completion for Quran Language Based on Recurrent Neural Network
Ringkasan
Automatic Quranic Arabic Project Summary
Objective: The project aims to develop an innovative deep learning application that automatically adds diacritical marks (harakat) to unvoweled Arabic text, specifically targeting Quranic Arabic.
Background:
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Prediction Plant Varieties Based on Soil Organic Matter and Climatic Conditions Using Machine Learning Models
Created
1/25/2023Ringkasan
Objective The project aims to develop a predictive model for determining suitable plant varieties based on soil organic matter and climatic conditions using machine learning techniques.
Key Components
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Sentimen Analysis Tragedi Kanjuruhan #Usutsampaituntas 2022 di Youtube najwa shihab
Created
12/25/2022Ringkasan
Sentimen Analysis Tragedi Kanjuruhan
Project Summary:
The project focuses on sentiment analysis related to the Kanjuruhan tragedy that occurred on October 1, 2022. This tragic event, which resulted in the loss of over a hundred lives, has sparked significant discussion and debate among the public, especially on social media platforms. The analysis specifically targets comments and opinions under the hashtag #UsutSampaiTuntas on Najwa Shihab's YouTube video discussing the incident.
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Penerapan Algoritma Support Vector Machine dan Multi-Layer Perceptron pada Klasifikasi Topik Berita
Created
7/8/2022Ringkasan
Objective The project aims to improve the automatic classification of online news articles to help Indonesian readers better access information by categorizing news into relevant topics.
Background
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