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Jurnal Inovatif : Inovasi Teknologi Informasi dan Informatika
Published by Universitas Ibn Khaldun Bogor
ISSN : 26545535     EISSN : 26545519     DOI : 10.32832/inovatif
Core Subject : Science, Education,
Computer Science & IT Other
Perkembangan ilmu Bidang Teknologi Informasi dan Informatika sudah banyak memberikan manfaat bagi peningkatan efektifitas dan efisiensi dalam berbagai kegiatan berbagai bidang ilmu. Jurnal INOVA-TIF (Inovasi Teknologi Informasi dan Informatika) ialah jurnal yang berisi artikel-artikel ilmiah yang meliputi bidang keilmuan tersebut yang memiliki turunan dalam topik Sistem Informasi, Geo Informatika, Net Centric Computing, dan Rekayasa Perangkat lunak. Jurnal ini dikhususkan untuk mengedepankan teknologi terapan dalamnya. Diharapkan Jurnal INOVA-TIF dapat menjadi sebuah sarana diseminasi hasil penelitian yang berkaitan dengan bidang teknologi Infomasi dan Informatika.
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 6 Documents
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Search results for , issue "Vol. 7 No. 2 (2024)" : 6 Documents clear
Comparison of Long Short Term Memory (LSTM) and LightGBM Algorithms to Improve Inventory Stock Efficiency through Forecasting George Rivaldo; Maesaroh, Siti
Jurnal Inovatif : Inovasi Teknologi Informasi dan Informatika Vol. 7 No. 2 (2024)
Publisher : Universitas Ibn Khaldun Bogor

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Abstract

This research aims to address the growing challenges faced by e-commerce businesses in inventory management, particularly the need for accurate forecasting of outgoing goods. The study focuses on comparing the performance of two machine learning algorithms: Long Short Term Memory (LSTM) and LightGBM. Accurate forecasting is crucial to minimize issues such as overstock and stockouts, which can adversely affect profitability. Using evaluation metrics such as Mean Absolute Error (MAE), Root Mean Squared Error (RMSE), and Mean Absolute Percentage Error (MAPE), this study analyzes historical sales data to evaluate the predictive accuracy of both models. The results indicate that the LSTM model provides more accurate predictions compared to LightGBM, demonstrating its effectiveness as a forecasting tool in inventory stock management. These findings highlight the importance of employing advanced machine learning techniques to enhance inventory efficiency, and ultimately, to aid businesses in better decision-making and improved profitability.
Web-Based Waste Recording Application At The Mandiri Waste Bank Of Kayu Putih Village Rachma, Nur; Jayanti, Dewi Estri; Zakaria, Alkat; Ferbrianto, Dannie; Setiabudi, Rachmat
Jurnal Inovatif : Inovasi Teknologi Informasi dan Informatika Vol. 7 No. 2 (2024)
Publisher : Universitas Ibn Khaldun Bogor

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Abstract

The waste bank program launched by the government is a means of education and forming good waste management behavior in the community. The Mandiri waste bank in Kayu Putih subdistrict, East Jakarta, still records its waste management manually and often faces various obstacles, such as recording errors, missing historical data, and a lack of transparency. The aim of this research is to overcome the problems that occur at the Mandiri waste bank, Kayu Putih Village, East Jakarta and implement a web-based application which is expected to increase effectiveness and efficiency in the recording and administration process carried out by the waste bank management. This application is designed to make it easier to record customer data, numbers and the type of waste deposited and calculating the economic value of the waste. The system development method used includes user needs analysis, system design using UML (Unified Modelling Language), coding with framework web-based, and implementation/testing. This research succeeded in increasing the operational efficiency of waste banks, reducing recording errors, and encouraging active community participation in waste sorting and recycling activities. With the results achieved, it is hoped that this web-based waste recording application can become a sustainable waste management solution in the Kayu Putih Subdistrict area, East Jakarta.
Web-Based Scholarship Information System AT Darul Muttaqien Islamic Boarding School Jaenudin, Jejen; Rachmawati, Fitria; Widhyaestoeti, Dahlia; Syarif, Zulkarnaen Noor; Azzahra, Fatimah
Jurnal Inovatif : Inovasi Teknologi Informasi dan Informatika Vol. 7 No. 2 (2024)
Publisher : Universitas Ibn Khaldun Bogor

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Abstract

Darul Muttaqien Islamic Boarding School is an educational institution that provides various scholarships to its students. However, the selection system for receiving scholarships is still done manually using Microsoft Excel, so that the decision-making process becomes inefficient and less targeted. This research aims to design a web-based scholarship acceptance information system to improve the accuracy and efficiency of scholarship recipient selection. The method used in this research is the Weighted Product (WP) method that allows the selection of the best alternative based on five criteria: average report card score, parents' income, number of dependents, non-academic achievement, and social value aspects. The system was developed using PHP and MySQL as the main database. The implementation results show that the system runs well and is able to store and manage scholarship data in a more structured manner, where the process of inputting, editing, and deleting data can only be accessed by authorized users. With this system, the selection process of scholarship recipients becomes faster, more accurate, and more transparent, thus increasing the effectiveness of scholarship management at Darul Muttaqien Islamic Boarding School.
Web-Based Bread Sales Information System Case Study Ro Bakery and Cake Farhan, Ahmad; Fatimah, Fety; Rachmawati, Fitria
Jurnal Inovatif : Inovasi Teknologi Informasi dan Informatika Vol. 7 No. 2 (2024)
Publisher : Universitas Ibn Khaldun Bogor

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Abstract

A Case Study on a Web-Based Roti Online Sales Information System Cakes and Pastries by RO Despite RO Bakery & Cake's best efforts, digital technology has failed to keep up with the industry's rapid expansion. Several problems arise because of business operations that are still primarily manual. The time it takes for the sales administrator to get sales data from each shop and the frequent occurrence of missing or damaged papers are two common problems. An information system is required by RO Bakery & Cake to generate online papers and sales reports to streamline the company's operations and ensure timely delivery to the administrative staff at headquarters. The research was carried out using a waterfall model, which consists of the following stages: (1) data collection (through observation, interviews, and literature reviews); (2) data analysis; (3) system design based on analysis results; (4) system development (using PHP and an object-oriented programming paradigm) and (5) black box testing to ensure the system is functional. The result of this research is a web-based bread sales information system that has 2 users, namely admin and spg outlet. Each user has different access rights according to their respective job duties and responsibilities. The benefits of this research are expected to reduce the risk of delays and damage during the product request process because documents are received by the admin through the system in real time. In addition, the admin can view and present sales data in the form of tables and graphs as support in deciding.
Design of IoT-Based Temperature and Humidity Monitoring System to Support Work Environment Safety in Furniture Workshop Arini, Nuskha Ilma; Etruly, Niki; Prasetya, Juliasari
Jurnal Inovatif : Inovasi Teknologi Informasi dan Informatika Vol. 7 No. 2 (2024)
Publisher : Universitas Ibn Khaldun Bogor

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Abstract

The furniture industry is one of the sectors with high risks to the health and safety of workers. Permenaker No. 5 of 2018 establishes comfortable working temperature standards between 18°C - 28°C, with humidity levels between 40% - 60%. Uncontrolled temperature and humidity conditions in furniture workshop environments can lead to various health and safety issues, including dehydration, fatigue, decreased concentration, and increased risk of workplace accidents. The furniture workshop is a learning facility at Polifurneka, equipped with various machines for furniture production processes. To ensure a safe working environment in the Polifurneka furniture workshop, a system is needed to measure working conditions in real time. This allows workshop managers to identify high-risk areas and take appropriate preventive actions. One preventive measure that can be implemented is the development of an Internet of Things (IoT)-based temperature and humidity monitoring system. This study develops an IoT-based temperature and humidity monitoring system to monitor working conditions in the furniture workshop using two types of sensors: DHT 11 and DHT 22 sensors. From the test results of these two sensors, DHT 22 sensor demonstrates a higher accuracy level, both for temperature and humidity readings compared to the DHT 11 sensor.
The Development of a Deep Learning-Based Chatbot for Stock Keeping Unit (SKU) Management Julianto, Hendra; Wijaya, Gautama; Haeruddin, Haeruddin
Jurnal Inovatif : Inovasi Teknologi Informasi dan Informatika Vol. 7 No. 2 (2024)
Publisher : Universitas Ibn Khaldun Bogor

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Abstract

Digital communications platforms, one of the revolutionary breakthroughs brought by rapid technological development. Such breakthroughs include technology in chatbots, which has now become a mighty tool, especially within the commercial sectors. This research hence focuses on the evolution of a chatbot in solving SKU management problems through deep learning technologies, such as the Multilayer Perceptron neural networks. The chatbot's goal is to deliver precise and effective information on SKU codes, stock levels, and product characteristics. The chatbot showed a high accuracy rate of 98% in answering questions about the given dataset after extensive testing. The findings demonstrate the potential of chatbots with deep learning to improve customer service and operational effectiveness in companies

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