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All Journal Internet of Things and Artificial Intelligence Journal Proceeding Applied Business and Engineering Conference ROUTERS: Jurnal Sistem dan Teknologi Informasi Jurnal INFOTEL
Putra, Septafiansyah Dwi
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Autentikasi User Dengan Metode Single Sign-On Berbasis Windows Active Directory Pada PT. XYZ Kemas, Kemas Ocha Khairi Saputra; Supriyatna, Agiska Ria; Putra, Septafiansyah Dwi
ROUTERS: Jurnal Sistem dan Teknologi Informasi Vol. 2 No. 2, Juli 2024
Publisher : Program Studi Teknologi Rekayasa Internet, Politeknik Negeri Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25181/rt.v2i2.3328

Abstract

To connect to the company network, a WPA2-PSK-based security system is in place, requiring users to input the company Wi-Fi password. One of the issues that arises is the difficulty in identifying the status of users attempting to access the network. Apart from security concerns regarding the network, the use of this security key allows non-employees to connect to the network using personal devices. As a solution to enhance the existing authentication system, security systems like RADIUS can be utilized. This system operates to mitigate threats to the network security. The process undertaken through the implementation of this NDLC method commences with identifying and designing network security authentication, progressing through the implementation phase until the design can be regularly utilized. With the introduction of a user authentication system employing a single sign-on method based on Windows Active Directory at XYZ Inc., users will find it easier to connect to the wireless network. With WPA2-Enterprise, access to the network will be restricted.
Analisis terhadap Enkripsi Data SSL di MySQL: Menguji Keamanan In-Transit Haikal, Antoni; Putra, Septafiansyah Dwi; Nelmiawati, Nelmiawati
ROUTERS: Jurnal Sistem dan Teknologi Informasi Vol. 2 No. 2, Juli 2024
Publisher : Program Studi Teknologi Rekayasa Internet, Politeknik Negeri Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25181/rt.v2i2.3446

Abstract

Data transmission security has become a pivotal point in database management, especially in response to the evolving cyber threats. This study examines a critical aspect of data security: the in-transit data encryption using Secure Sockets Layer (SSL) within MySQL. The main focus of the research is on testing data encryption by employing Wireshark, a network analysis tool capable of capturing and displaying transmitted data packets. The testing process consisted of two scenarios: first, data transmission with SSL enabled on the MySQL server; second, data transmission without the use of SSL. The results show a significant contrast between the two scenarios. With SSL, the data packets intercepted by Wireshark appeared unreadable, indicating that encryption was successful in preventing data content exposure. Conversely, without SSL, the data packets could be read as plain text, demonstrating a lack of encryption and a high security risk. This research delves only into the aspect of in-transit data encryption security in MySQL and does not explore the implications related to SSL performance or configuration further. This analysis offers a useful perspective for database administrators in efforts to enhance data security, identifying SSL as a crucial tool to ensure the security of in-transit data.
Design and Performance Analysis of a Fuzzy Logic-Based IoT System for Greenhouse Irrigation Control Ambarwari, Agus; Widyawati, Dewi Kania; Putra, Septafiansyah Dwi
Internet of Things and Artificial Intelligence Journal Vol. 4 No. 3 (2024): Volume 4 Issue 3, 2024 [August]
Publisher : Association for Scientific Computing, Electronics, and Engineering (ASCEE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31763/iota.v4i3.764

Abstract

Automatic irrigation has long been used to efficiently irrigate large agricultural areas through drip irrigation systems to minimize water wastage. In greenhouse irrigation, computerized control is essential to improve productivity, as conventional control methods that rely on on-off or proportional control are often inefficient. This research introduces a novel approach to monitor greenhouse environmental conditions and control irrigation duration. The monitoring system architecture consists of sensor nodes and a gateway. The irrigation duration control uses a Fuzzy Logic Controller (FLC) based on the Mamdani method. The FLC is implemented on a NodeMCU ESP8266 board integrated with a DHT22 sensor and a soil moisture sensor. Temperature and soil moisture parameters are used as inputs for the fuzzy logic system in determining the appropriate irrigation duration. The linguistic variables used in the fuzzy membership function include soil moisture (categorized as water, wet, and dry), temperature (categorized as cold, normal, and hot), and watering time (categorized as zero, short, medium, and long). A rule base consisting of nine fuzzy rules was developed based on these membership functions. Experimental results show that the FLC implemented on the NodeMCU ESP8266 has an average accuracy of 99.41% compared to the MATLAB simulation. This shows the fuzzy logic-based system's high accuracy and effectiveness in controlling the duration of greenhouse irrigation. This developed system offers a promising solution to optimize water usage and improve irrigation management in a greenhouse environment.
Comparative Analysis of Filtering Techniques for Efficient Data Aggregation in Smart Hydroponic Systems Qomariyah, Nurul; Putra, Septafiansyah Dwi; Asrowardi, Imam
ABEC Indonesia Vol. 12 (2024): 12th Applied Business and Engineering Conference
Publisher : Politeknik Negeri Bengkalis

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

Abstract

The rapid evolution of digital technologies has transformed traditional agriculture into a more efficient andintelligent system. This study focuses on the development of a data aggregation strategy in Smart Hydroponic Systems tooptimize network consumption without sacrificing data accuracy. By utilizing Threshold Filtering and Delta-BasedFiltering techniques, significant reductions in data transmission were achieved while maintaining essential temperaturemonitoring capabilities. Experimental results demonstrated that both techniques effectively reduced data points andoptimized bandwidth usage, particularly in temperature-stable environments. This research contributes to theadvancement of sustainable digital agriculture by providing an efficient approach to managing network resources in IoTbasedhydroponicsystems.
Development of Smart Hydroponics System using AI-based Sensing Putra, Septafiansyah Dwi; Heriansyah, Heriansyah; Cahyadi, Eko Fajar; Anggriani, Kurnia; Imron S Jaya, Moh Haris
JURNAL INFOTEL Vol 16 No 3 (2024): August 2024
Publisher : LPPM INSTITUT TEKNOLOGI TELKOM PURWOKERTO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20895/infotel.v16i3.1190

Abstract

This paper proposes a smart hydroponic system that operates automatically using a fuzzy logic algorithm, integrating IoT functionalities to support smart agriculture. The system allows for remote monitoring and control via the internet, providing real-time data on water levels, pH levels, temperature, and nutrient solution temperature. Precise dosing and temperature control are critical for optimal plant growth, and the system schedules temperature measurements to ensure stability. Unstable temperature can affect pH levels, thereby impacting nutrient absorption. The proposed system employs sensors to continuously monitor the electrical conductivity (EC) and pH levels of the nutrient solution. Fuzzy control is utilized to regulate the nutrient solution pump, automatically adjusting EC and pH levels to promote optimal plant growth. This approach reduces the time burden on producers and provides more precise control over the nutrient solution, resulting in improved growth outcomes. The main contributions of this work are as follows: the development and implementation of an AI-based system integrating a controller, IoT environment, fuzzy logic algorithm, and NFT (nutrient film technology) hydroponics; the creation of a user-friendly interface for farmers through the Smart-Hydroponic application, enabling hybrid monitoring and control of hydroponic farms; the establishment of an IoT-based cloud environment for sensor data monitoring; the implementation of a smart hydroponic system for nutrient sensing, monitoring, and control; and a comparative analysis between smart and conventional hydroponics based on morphological results.
Co-Authors Ambarwari, Agus Asrowardi, Imam Eko Fajar Cahyadi Haikal, Antoni Heriansyah Imron S Jaya, Moh Haris Kemas, Kemas Ocha Khairi Saputra Kurnia Anggriani, Kurnia Nelmiawati, Nelmiawati Nurul Qomariyah Supriyatna, Agiska Ria Widyawati, Dewi Kania