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All Journal Teknomekanik Journal of Computer Networks, Architecture and High Performance Computing Jurnal Teknoif Teknik Informatika Institut Teknologi Padang International Journal of Advanced Science Computing and Engineering
Sukma, Fanni
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Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Mechanical Engineering

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Comparative analysis of the least squares method and double moving average technique for forecasting product inventory Yondri, Surfa; Meidelfi, Dwiny; Lestari, Tri; Sukma, Fanni; Mutia, I.S
Teknomekanik Vol. 7 No. 1 (2024): Regular Issue
Publisher : Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/teknomekanik.v7i1.29672

Abstract

The cosmetics industry necessitates efficient inventory management to balance customer demand with stock control. This case study explores how Liza Cosmetics Shop optimized inventory for Lip Cream Implora 01, a popular product, using data-driven forecasting techniques. Traditional trend-based methods often resulted in inaccurate forecasts. This study proposed implementing the SDLC Waterfall Model to apply two forecasting techniques: Least Squares and Double Moving Average. Historical sales data (April 2021 - June 2022) was analyzed to identify demand patterns, seasonality, and trends. The Least Squares method was chosen for its suitability in capturing stable, linear relationships between sales and time, while the Double Moving Average method catered to data exhibiting both long-term trends and short-term fluctuations. Rigorous testing using white-box and black-box methods ensured the accurate functionality and system behavior of the implemented models. The Mean Absolute Percentage Error (MAPE) determined the method best suited for predicting July 2022 demand. This case study contributes insights into data-driven inventory management in cosmetics, highlighting benefits such as optimized stock levels, reduced costs, and enhanced customer satisfaction through improved demand fulfillment. This studys’ limitations including unforeseen marketing campaigns and economic fluctuations impacting forecasts were acknowledged. Despite these challenges, the study emphasizes the potential of data-driven techniques to optimize inventory management and meet customer demands effectively.
The Implementation of the Simple Multi Attribute Rating Technique Method for Evaluating the Guidance Process for the Final Project of the Applied Software Engineering Technology Students Idmayanti, Rika; Meidelfi, Dwiny; Rahmayuni, Indri; Sukma, Fanni; Ramadhani, -
International Journal of Advanced Science Computing and Engineering Vol. 3 No. 3 (2021)
Publisher : SOTVI

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (231.571 KB) | DOI: 10.62527/ijasce.3.3.71

Abstract

Simple Multi Attribute Rating Technique (SMART) is a method that is able to solve problems with multi criteria. In the evaluation of the final project guidance process students of applied software engineering technology are intended to identify supporting factors as well as obstacles for students in completing the final project. Used several criteria such as liveliness of guidance, guidance response, how to communicate, mastery of materials, problem solving and report writing. The problem in determining the cause of the hampered completion of the final project is the lack of tools that can help in processing the criteria data. The solution is to utilize the SMART method with multi criteria problem solving as a tool in decision making. With the utilization of this method is expected to provide solutions in evaluating the guidance process so that the results can be accepted by all students objectively. With the decision support system model, it is expected to be able to know the problem factor in completing the final project so as to help in the implementation of the final project in the next period.
Boundary Value Analysis Techniques for Testing Geographic Information System Applications for Public Facilities Idmayanti, Rika; Meidelfi, Dwiny; Erianda, Aldo; Sukma, Fanni; Zazkia, Rahmi
International Journal of Advanced Science Computing and Engineering Vol. 4 No. 3 (2022)
Publisher : SOTVI

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (575.419 KB) | DOI: 10.62527/ijasce.4.3.91

Abstract

The Geographic Information System for Public Facilities is a system that makes it easier for the public to search and find locations. The more people use this system, the more problems will arise. Because people still use the manual method, namely by asking about the location of public facilities in the surrounding community. This is very ineffective and accurate. Therefore, a public facility information system was built using CI 3, Java, and PHP in the form of android. The method used in this development system is the waterfall method. With this GIS, the public can search for the location of public facilities, find public facilities, and provide a route to the location using the Tracking process to find out where the current position is.
Academic Advisory Guidance Application Website-Based Sukma, Fanni; Kasmar, Andre Febrian; Afyenni, Rita; -, Defni; Azizah, Nur
International Journal of Advanced Science Computing and Engineering Vol. 4 No. 3 (2022)
Publisher : SOTVI

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (433.556 KB) | DOI: 10.62527/ijasce.4.3.111

Abstract

Academic Advisory Guidance at the Information Technology Department  Politeknik Negeri Padang is currently carried out manually, causing several obstacles, including time and place. To help with problems that occur, a website-based academic guidance system was built using the waterfall method. The stages of implementation methodology carried out are Analysis, System Design, Program Code Generation, and Program Testing. With this system, students and academic advisors can interact anytime and anywhere without having to meet face-to-face. This can also be a solution for students who have both academic and personal problems.
Analysis of Eye Disease Classification by Comparison of the Random Forest Method and K-Nearest Neighbor Method Meidelfi, Dwiny; Hendrick; Sukma, Fanni; Kharisma, Srintika Yunni
International Journal of Advanced Science Computing and Engineering Vol. 5 No. 2 (2023)
Publisher : SOTVI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/ijasce.5.2.151

Abstract

Eye disease is a serious issue all over the world, and image-based classification systems play an important role in the early detection and management of eye disease. This research compares the performance between Random Forest (RF) and K-Nearest Neighbor (KNN) classification models in identifying eye disorders using image datasets divided into four classes: "normal," "glaucoma," "cataract," and "diabetic retinopathy."   The dataset is converted into a feature vector and then divided into training data and test data subsets. The analysis results show that the RF model achieved an accuracy level of 80%, whereas the KNN model achieved 70%. Based on these findings, it is possible to conclude that the RF model outperforms the other models in categorizing the types of eye illnesses in the dataset. A Python-based website was also built utilizing the Flask framework to build an interactive and real-time eye illness diagnosis system. Users can upload photos of their retinas to this website and quickly receive eye disease detection results. The adoption of this technology has a tremendous impact, making eye disease detection solutions more accessible. Furthermore, this solution plays an important role in the early detection and effective management of eye health cases.
Information System and Population Data Search Using the Boyer-Moore Algorithm in Nagari Kotobaru Simalanggang Sukma, Fanni; Hadi, Ronal; Chairani, Fitri; Sariani; Wardhani, Aditya
International Journal of Advanced Science Computing and Engineering Vol. 5 No. 3 (2023)
Publisher : SOTVI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/ijasce.5.3.185

Abstract

The growth of information technology throughout the world is now faster and stronger than before, one of which is Information Systems. The development of the Nagari information system in Kotobaru Simalanggang aims to increase the efficiency of Nagari administrative staff in searching for population data while making it easier for the public to manage administrative documents such as correspondence. This system enables users to process documents such as letters through a special website. To improve the accuracy of data searches, the Boyer-Moore algorithm was used, with Population Identification Numbers (NIK) and resident names as search criteria. The Laravel framework with Model-View-Controller (MVC) architecture is used to create this website. The waterfall technique is used in the research process. This strategy was chosen because each stage must wait for the preceding stage to be completed before proceeding. In data search, the implementation of the Boyer-Moore method yields a 100% accuracy rate. This guarantees that the public receives the most relevant information.
IMPLEMENTASI SISTEM KEAMANAN DAN HIGH AVAILABILITY PADA CLOUD SERVER MENGGUNAKAN AMAZON WEB SERVICES (AWS) Febrian Kasmar, Andre; Wahyuna, Wahyuna; Sukma, Fanni; Amalia, Sitti
Jurnal Teknoif Teknik Informatika Institut Teknologi Padang Vol 13 No 1 (2025): TEKNOIF APRIL 2025
Publisher : ITP Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21063/jtif.2025.V13.1.40-47

Abstract

Service availability and security are critical aspects in web server management, particularly for educational institutions utilizing cloud-based technologies. This study aims to implement a high availability and security system on the SMKN 5 Padang web server using Amazon Web Services (AWS). The methods employed include load balancing using Elastic Load Balancing to evenly distribute workloads, Auto Scaling to dynamically adjust the number of instances based on traffic load, and Wazuh as a security monitoring system to detect and respond to cyber threats such as Denial of Service (DoS) attacks. System performance was evaluated through stress testing and security log analysis. The implementation results indicate that load balancing effectively optimizes network traffic distribution, Auto Scaling maintains service availability during traffic spikes, and Wazuh successfully detects and mitigates security threats in real time. The main contribution of this research is the enhancement of cloud-based web server architecture through a high availability and adaptive security approach, which can be adopted by other educational institutions. Future research is recommended to optimize the system using artificial intelligence to improve proactive cyber threat detection and response efficiency.  
Android Based Spark and Gas Leak Detection and Monitoring Meidelfi, Dwiny; Moodutor, Hanriyawan Adnan; Sukma, Fanni; Adnin, Sandri
Journal of Computer Networks, Architecture and High Performance Computing Vol. 4 No. 2 (2022): Article Research Volume 4 Number 2, July 2022
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v4i2.1489

Abstract

LPG cylinder leakage is one of the causes of fires in the community. To prevent fires, a fire and gas leak detection and monitoring device were made using a fire detector sensor and an Android-based MQ-6 to trigger it. Data collection techniques in the manufacture of gas and fire leak detection using a flame detector and the MQ-6 sensor can be obtained from datasheets, journals, books and articles, and several internet sites that support the manufacture of this device. In the manufacture of gas leak detection devices or tools, there are also two parts, namely the first to make hardware (hardware), then software (software). The result of this tool detection is that users can find out the level of LPG due to leaking of LPG cylinders and detect fire using Android notifications in real-time and the data is displayed in detail on the browser page. The conclusion of this study is that users are safer because there is a gas leak, the tool will detect LPG gas, then a message will be displayed on the LCD screen and a notification on Android and the buzzer will automatically turn on. If there is a fire from detecting the gas leak, the fire detector will detect the fire, which will result in a notification sent to Android that there is a fire and the buzzer will turn on
Co-Authors -, Defni Adnin, Sandri Aldo Erianda, Aldo Chairani, Fitri Dwiny Meidelfi Febrian Kasmar, Andre Hendrick Indri Rahmayuni Kasmar, Andre Febrian Kharisma, Srintika Yunni Moodutor, Hanriyawan Adnan Mutia, I.S Nur Azizah Ramadhani, - Rika Idmayanti Rita Afyenni Ronal Hadi Sariani Surfa Yondri Tri Lestari Wahyuna, Wahyuna Wardhani, Aditya Zazkia, Rahmi