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All Journal Foristek ScientiCO : Computer Science and Informatics Journal Indonesian Journal of Electrical Engineering and Computer Science
Indrajaya, Muhammad Aristo
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Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering Mechanical Engineering

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RANCANG BANGUN E-SUPPLY CHAIN MANAGEMENT SYSTEM PADA BRIGHT GAS PERTAMINA MENGGUNAKAN METODE DISTRIBUTION REQUIREMENT PLANNING (DRP) Ngemba, Hajra Rasmita; Syahrullah, Syahrullah; Indrajaya, Muhammad Aristo; Hendra, Syaiful; Lakatjinda, Adiatma
ScientiCO : Computer Science and Informatics Journal Vol 4, No 2 (2021): Scientico : November
Publisher : Fakultas Teknik, Universitas Tadulako

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Proper handling of problems is needed to support distribution activities. E-SCM or Electronic Supply Chain Management is a collaborative use of technology and strategic management to improve speed, performance, real-time monitoring of business processes aimed at integrating combined productive capacity and other resources in a supplier network system (Supply Chain System) through technology. Internet. The development of this system uses an extreme programming model by building Android-based applications that can only be run on mobile devices using at least the Android 5.0 Lollipop operating system. System testing will be tested with Blackbox and User Acceptance. The results of this study are the distribution system design with DRP can minimize the number of orders because the number of orders is optimal so that orders do not need to be made every week.
Classification of weather conditions based on automatic weather station data using a multi-layer perceptron neural network Indrajaya, Muhammad Aristo; Sollu, Tan Suryani; Subito, Mery; Rahman, Yuli Asmi; Saputra, Erwin Ardias
Indonesian Journal of Electrical Engineering and Computer Science Vol 37, No 1: January 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v37.i1.pp540-550

Abstract

Weather is one of the important elements that greatly determines human activities, especially those related to economic factors. Therefore, understanding weather conditions using weather parameters as a reference is important for human life, so a method is needed to classify weather according to its category so that the information produced can be used for various needs. Determining weather conditions in an area will not run well without a reliable method that can analyze existing weather parameters. Therefore, in this study, the weather condition classification process was carried out using the multilayer perceptron algorithm, a type of neural network (NN) algorithm. All data analyzed were weather parameter data collected by mini weather stations placed on land. The weather parameters used were temperature, humidity, air pressure, wind speed, dew point, wind chill, daily rainfall, solar radiation, and UV index. This study was conducted in Palu city, Central Sulawesi Province, Indonesia. The classification process carried out by the multilayer perceptron algorithm was carried out on the Altair AI Studio application and produced an accuracy value of 93.87%, recall of 92.33%, and precision of 91.29%.
LINE TRACER PENYORTIR BARANG DENGAN QR CODE SEBAGAI PENGENALAN POSISI TARGET Putra, Wisnu Rahmat Dwi; Fauzi, Rizana; Ardias, Erwin; Subito, Mery; Indrajaya, Muhammad Aristo; Rahman, Yuli Asmi
Foristek Vol. 15 No. 1 (2025): Foristek
Publisher : Foristek

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54757/fs.v15i1.752

Abstract

Robotic-based sorting systems offer an innovative solution to enhance efficiency and accuracy in the logistics industry. This research aims to design and implement a robotic system capable of automatically sorting goods by integrating barcode scanning technology and line tracer navigation. The system is built using an Arduino Mega 2560 as the main controller and is equipped with Stepper motors, DC motors, mecanum wheels, a GM65 barcode scanner, and various supporting actuators.Experimental results show that the GM65 sensor can optimally read barcodes at distances ranging from 15 to 55 cm. The servo motor demonstrates an accuracy rate of over 98%, while the Stepper motor performs optimally at a minimum voltage of 9.0 V. Additionally, line sensor calibration yields a threshold range between 528 and 573, ensuring accurate line detection. The system also exhibits stable movement with consistent speed and minimal travel time variation, indicating efficient operational performance.By integrating these technologies, the developed robotic sorter system significantly improves productivity, accuracy, and reliability in automated goods sorting processes. The implementation of this system is expected to support automation in the logistics sector and provide a practical solution to distribution management challenges in the era of Industry 4.0.
PERANCANGAN SISTEM ANTRIAN ANTI COVID 19 BERBASIS INTERNET of THINGS MENGGUNAKAN RASPBERRY Pi W ZERO Laksmana, Agum; Amir, Ardi; Sollu, Tan Suryani; Indrajaya, Muhammad Aristo
Foristek Vol. 12 No. 2 (2022): Foristek
Publisher : Foristek

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54757/fs.v13i2.148

Abstract

Utilization of electronic technology in various aspects of human life, both in household needs, education, industry, and human habitation itself. In this discussion is how to design a queuing system based on the Internet of Things using a Raspberry Pi W Zero controller. Internet of Things is a concept in which an object or object is implanted with technologies such as sensors and software with the aim of communicating, controlling, connecting, and exchanging data through other devices while still connected to the internet. In designing this queuing system, a website is needed to support this tool to make it easier for users to register online without having to manually take queue numbers. The programming language used for the Raspberry Pi W Zero controller uses python. Testing this queuing system 100% went well and according to what was designed for the design of an Internet of Things based anti covid 19 queuing system using the Raspberry Pi W Zero. With this tool, it can make it easier for users to register queue numbers and be able to run the appropriate Health protocol system.
IMPLEMENTASI ALGORITMA FORWARD CHAINRING DAN CERTAINTY FACTOR PADA SISTEM PAKAR DIAGNOSA EFEK SAMPING BAHAN PEMUTIH KOSMETIK PADA KULIT Ardiansyah, Rizka; Indrajaya, Muhammad Aristo; Joefrie, Yuri Yudhaswana; Pratiwi, Inten Sakti
Foristek Vol. 13 No. 1 (2023): Foristek
Publisher : Foristek

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54757/fs.v14i1.253

Abstract

Most people, especially women, are generally not educated about what ingredients are contained in a cosmetic and only rely on social media as a reference by looking at influencers who advertise a beauty product. To consult with a dermatologist also requires a lot of money, so they choose not to care about it, this causes many cases handled by dermatologists are cases that are too severe. Therefore, there is a need for awareness and education for women, especially teenagers regarding the use of illegal cosmetics, so through this research, the authors try to propose a free, expert-based platform that can be accessed in general by people from anywhere and anytime to carry out self- assessments or self-examinations. or education that makes it easier for the public to get easy and detailed information access regarding the hazardous ingredients contained in cosmetics. So in this study, we propose an educational media and expert-based assessment of the symptoms of the disease suffered in the form of developing an expert system based on the forward chaining algorithm and certainty factor, which involves a dermatologist. based on the results of testing the accuracy of 20 data samples, 18 data were appropriate and 2 data were not appropriate so that the accuracy obtained was 90%, and from user satisfaction testing it was found that 80% were satisfied with the system created and 20% were not satisfied.
IMPLEMENTASI SENSOR FLEX PADA PENYANDANG DIFABEL MENGGUNAKAN DFPLAYER SEBAGAI INFORMASI AUDIO Rasyid, Anas; Sollu, Tan Suryani; Indrajaya, Muhammad Aristo; Alamsyah, Alamsyah
Foristek Vol. 14 No. 1 (2024): Foristek
Publisher : Foristek

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54757/fs.v14i1.372

Abstract

Sign language is a form of language that can be learned which prioritizes communication with body language, facial expressions, and some non-sounds. This sign language is widely used by the deaf and mute. However, there is still a lack of institutions teaching sign language, books on sign language, and a tool for learning sign language. This study aims to design a hardware system that can translate sign language and output in the form of audio and display on the LCD. The stages of the research included designing the physical form of the device, testing the sensor flex, testing the MPU6050, testing the Nrf24l01, testing the Dfplayer, testing the Liquid Crystal Display (LCD), and testing the overall device on the A-Z alphabet. The results showed that when the Flex sensor was not indented the average error was 1.23%, and when it was indented the average error was 2.01%. The delay time required in sending data using Nrf24l01 media for conditions without obstructions is 0 seconds with a distance of 1 meter, with a barrier of 9.84 seconds with a distance of 3 meters, at a distance of 3 meters the data cannot be sent.
Co-Authors Alamsyah - Ardi Amir Ardias, Erwin Erwin Ardias Saputra Hajra Rasmita Ngemba Lakatjinda, Adiatma Laksmana, Agum Mery Subito Pratiwi, Inten Sakti Putra, Wisnu Rahmat Dwi Rasyid, Anas Rizana Fauzi, Rizana Rizka Ardiansyah Syahrullah Syahrullah Syaiful Hendra Tan Suryani Sollu Yuli Asmi Rahman Yuri Yudhaswana Joefrie