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All Journal PROtek : Jurnal Ilmiah Teknik Elektro Sistemasi: Jurnal Sistem Informasi Journal of Science and Engineering Jurnal Teknologi Sistem Informasi dan Aplikasi JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Jurnal Teknologi Informasi dan Pendidikan Building of Informatics, Technology and Science
Ciksadan, Ciksadan
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Arts Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Mechanical Engineering Transportation

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Penerapan Algoritma Yolov3 pada Sistem Cerdas Pendeteksi dan Pengendali Hama Bawang Merah Berbasis IoT As'ad, Avif; Suroso, Suroso; Ciksadan, Ciksadan; Hawayanti, Erni
Building of Informatics, Technology and Science (BITS) Vol 6 No 2 (2024): September 2024
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v6i2.5697

Abstract

Technological advancements play a crucial role in enhancing the efficiency of modern agriculture, particularly in addressing pest management challenges. This study focuses on the development of an automatic pest detection system for shallot crops using a combination of Arduino Uno microcontroller, ESP32-CAM camera module, and YOLOv3 object detection model. The system is designed to detect pests in real-time through images captured by ESP32-CAM and analyzed using YOLOv3, then provide an automatic response by spraying pesticides only in areas where pests are detected. The study began with the development of hardware and software for the automatic pest detection system. Arduino Uno is used as the main microcontroller to control the entire system, while ESP32-CAM is responsible for capturing images and detecting pests. The YOLOv3 model is trained using the COCO dataset, supplemented with sample images of pests on shallot crops to improve detection accuracy. The training process is conducted using a GPU to speed up model learning. Field tests on shallot crops infested with various types of pests show that this system has a high accuracy rate in detecting pests and effectively provides automatic pesticide spraying responses. The spraying system's effectiveness reaches 93%, ensuring pesticides are sprayed only in areas where pests are detected, thus optimizing pesticide use and reducing negative environmental impacts. This system offers an efficient and environmentally friendly solution for pest control and has significant potential for application in various agricultural scenarios. This research contributes to the improvement of agricultural productivity and the welfare of farmers in Indonesia.
Design of Medical Devices to Monitor Body Temperature, Heart Rate And Oxygen Saturation Levels In Human Body Based On IoT Ihsan, Muhammad Nabil; Taqwa, Ahmad; Ciksadan, Ciksadan
Jurnal Teknologi Informasi dan Pendidikan Vol. 16 No. 2 (2023): Jurnal Teknologi Informasi dan Pendidikan
Publisher : Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/jtip.v16i2.766

Abstract

Understanding body temperature and heart rate plays a crucial role in detecting disease symptoms. Heart rate serves as a vital parameter reflecting human body function, with a typical range of 60-100 beats per minute for adults. This study aims to leverage Internet of Things (IoT) technology to create a monitoring system for heart rate and body temperature.The main objective of this final project is to design a device capable of monitoring body temperature, heart rate, and oxygen saturation levels in the human body. The anticipated benefits of this research include facilitating the continuous monitoring of body temperature, heart rate, and oxygen saturation levels, thus aiding in timely health assessments. To achieve this, the study employs the MLX90614 sensor for temperature measurement and the MAX30100 sensor for heart rate and oxygen saturation level readings. These sensors are integrated with the Arduino Nano microcontroller and NodeMCU ESP8266.The study's findings demonstrate that the sensors effectively measure body temperature, heart rate, and oxygen saturation levels, as confirmed by comparison with medical-grade devices. The system developed in this research performs well and is ready for practical application, providing the desired benefits of enhanced monitoring capabilities for healthcare purposes.
Rancang Bangun Modul Pembelajaran High Pass Filter dan Low Pass Filter untuk Praktikum di Laboratorium Teknik Telekomunikasi Politeknik Negeri Sriwijaya Zefi, Susan; Ciksadan, Ciksadan; Alifah, Farah Balqis; Shalama, Maura Fatima
Journal of Science and Engineering Vol 7, No 2 (2024): Journal of Science and Engineering (JOSAE)
Publisher : Fakultas Teknik Universitas Khairun

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33387/josae.v7i2.8929

Abstract

Filters are one of the series that are needed in everyday life. Both in the fields of electronics and telecommunications.This circuit is composed of passive components, namely resistors and capacitors. The research method used is the experimental method for the module design stage which will be tested and prove the output results based on theory. Based on data from experiments that have been carried out, the passive second order high pass filter and low pass filter circuit produces the same frequency response as the theory, namely when the circuit is given a voltage of 1V and a different frequency, it produces the frequency response graph increases where the higher the frequency, the higher and more stable the frequency response graph produced vice versa. According to the data that has been obtained and converted to a frequency response graph, it proves that the frequency response graph of the module made is almost the same as the frequency response graph of the CET-17202B-01 module, only there is a slight difference in the output voltage and tolerance due to the influence of the load on the components used. 
RANCANG BANGUN ALAT CERDAS PENCUCI DAN PENGERING SEPATU OTOMATIS DENGAN MENGGUNAKAN METODE FUZZY SUGENO Ciksadan, Ciksadan; Damayanti, Shinta; Salamah, Irma
JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Vol 10, No 2 (2025)
Publisher : STKIP PGRI Tulungagung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29100/jipi.v10i2.6237

Abstract

Tujuan dari penelitian ini adalah merancang alat untuk mencuci dan mengeringkan sepatu secara otomatis tanpa memerlukan tenaga manusia. sebuah solusi praktis untuk menjaga kebersihan dan perawatan sepatu, terutama bagi pemilik jasa laundry yang sering menghadapi masalah cuaca yang tidak menentu. Proses pengeringan dilakukan menggunakan sensor DS18B20 yang berfungsi untuk mengukur tingkat kekeringan sepatu, memastikan sepatu kering sempurna sebelum digunakan. Alat ini terdiri dari berbagai komponen penting seperti sensor suhu DS18B20, rangkaian power supply, relay, motor driver, ubec dan Arduino Mega yang bekerja bersama untuk memastikan fungsi pencucian dan pengeringan berjalan dengan baik dan efisien. Metode Fuzzy Sugeno digunakan untuk mengatur sistem otomatisasi alat ini, memungkinkan penyesuaian yang lebih akurat dan responsif terhadap kondisi aktual sepatu. Inovasi ini tidak hanya membantu dalam menjaga kebersihan sepatu tetapi juga memberikan kenyamanan dan efisiensi bagi pengguna. Alat ini diharapkan dapat menjadi solusi yang efektif untuk mengatasi tantangan yang ditimbulkan oleh kondisi cuaca yang tidak menentu, yang seringkali menghambat proses mencuci dan mengeringkan sepatu secara manual. Dengan menggunakan teknologi ini, diharapkan dapat memberikan manfaat signifikan bagi masyarakat dalam kehidupan sehari-hari.
Design Build a 4x4 Mimo Microstrip Antenna with Artificial Dielectric Muse Array Technique to increase Antenna Gain pexisting Application 5G Handayani, Ade Silvia; Sugiyanto, Aan; Ciksadan, Ciksadan; Endri, Jon
PROtek : Jurnal Ilmiah Teknik Elektro Vol 10, No 1 (2023): Protek : Jurnal Ilmiah Teknik Elektro
Publisher : Program Studi Teknik Elektro Universitas Khairun

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33387/protk.v10i1.4857

Abstract

The development of fifth-generation cellular technology, commonly referred to as "5G" networks, is believed to be able to maximize data speed access needs. In order to maximize the utilization of the existing 5G network in Indonesia, Telkomsel providers are using a frequency of 2.3 GHz with a bandwidth of 50 MHz. So we need an antenna amplifier that is easy to fabricate and place anywhere to maximize the signal capture range. A microstrip antenna is a suitable antenna for this amplifier. The advantage of this antenna is that it has a light mass and is easy to fabricate. while the drawbacks come in the form of narrow bandwidth and small gains. Therefore, an antenna design with an artificial substrate and array technique was made to overcome this. The design of this microstrip antenna was made in the CST Studio Suite 2019. The design was carried out by entering the antenna dimension values to be simulated and seeing the parameters; if they are not suitable, then they need to be optimized again, and when they are appropriate, the design results are fabricated and printed. In testing the signal capture power using the Xirrus WiFi Inspector, this antenna was able to capture the signal beam, which was 105 meters or 40 meters further than not using the antenna. In addition, from testing, it is known that this antenna has a gain of 16.15 dBi. While in the simulation, it is also known that this antenna has the following characteristics: return loss: -32,353 dB (S11), -32,737 dB (S22), -33,974 dB (S33), -34,423 dB (S44), VSWR: 1,049 (VSWR 1), 1,047 (VSWR 2), 1.040 (VSWR 3), 1.038 (VSWR 4), impedance: 50.7 -111 MHz.
Rancang Bangun Receiver Sinyal ADS-B Pesawat Menggunakan RTL-SDR serta Antena 1090 MHz Irawan, Fery; Ciksadan, Ciksadan; Suroso, Suroso
PROtek : Jurnal Ilmiah Teknik Elektro Vol 7, No 2 (2020): Protek : Jurnal Ilmiah Teknik Elektro
Publisher : Program Studi Teknik Elektro Universitas Khairun

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33387/protk.v7i2.2018

Abstract

Automatic Dependent Surveillance Broadcast (ADS-B) is a surveillance technology used in air navigation. This technology can view information in the form of 24 bit ICAO aircraft addresses, ident or squawk, latitude, altitude, nationality, speed, longitude, track and heading. The current development problem can only be done with the Flight Radar24 web-based application, so it requires an internet connection to operate. To solve this problem, the necessary hardware is needed that can receive ADS-B signal with a frequency of 1090MHz and can translate it into information. The RTL-SDR R820T2 is a software-based hardware device that can receive a wide range of signals from 25 MHz - 1700MHz. To maximize signal reception, an additional omnidirectional antenna is capable of receiving signals from all directions. With this system, it is expected to make it easier to fly directly without an internet connection.
Implementation of Indoor 4G Signal Interference Detection using USRP B210 and RTL-SDR Ciksadan, Ciksadan; Thabroni, Feri; Suroso, Suroso
Sistemasi: Jurnal Sistem Informasi Vol 14, No 5 (2025): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v14i5.5450

Abstract

Signal interference is one of the main challenges in maintaining the quality of 4G network services, particularly in indoor environments with complex propagation characteristics. This study aims to develop a 4G signal interference detection system based on Software Defined Radio (SDR), utilizing a USRP B210 device as the transmitter and two RTL-SDR units as receivers. The system is designed to monitor signals in real time at frequencies of 800 MHz and 1700 MHz, and to analyze Received Signal Strength Indicator (RSSI) and Signal-to-Noise Ratio (SNR) parameters from each RTL-SDR to identify potential signal interference. The test results show that RTL1 consistently received signals of higher quality compared to RTL2. At 800 MHz, the SNR difference between the two receivers reached 21.06 dB, while at 1700 MHz it was 15.46 dB. Although no foreign signals were visually detected in the spectrum, the significantly lower SNR values on RTL2 indicate the presence of non-spectral interference, likely caused by differences in propagation conditions such as multipath effects or physical obstructions. These findings demonstrate that the proposed system is capable of detecting hidden interference through a quantitative comparison between two receivers operating simultaneously. This approach proves effective for indoor signal monitoring and can be further developed to support automation using machine learning techniques.
Analisis Quality of Service Jaringan Wireless Local Area Network di PT PLN Indonesia Comnets Plus Strategic Business Unit Regional Sumbagsel Suroso, Suroso; Ciksadan, Ciksadan; Choirunnisa, Choirunnisa
Jurnal Teknologi Sistem Informasi dan Aplikasi Vol. 6 No. 2 (2023): Jurnal Teknologi Sistem Informasi dan Aplikasi
Publisher : Program Studi Teknik Informatika Universitas Pamulang

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

Abstract

Quality of Service (QoS) adalah pengukuran yang dilakukan untuk mendapatkan informasi tentang hasil kinerja perangkat jaringan yang telah melewati proses instalasi jaringan dan memenuhi persyaratan kelayakan layanan jaringan. Dalam analisis Quality of Service jaringan Wireless Local Area Network ini dilakukan penelitian di PT PLN Indonesia Comnets Plus SBU Regional Sumbagsel dengan melakukan pengukuran dan analisis performansi jaringan menurut standar TIPHON. Melakukan performansi suatu jaringan merupakan hal yang sangat penting untuk selalu diperhatikan dalam manajemen jaringan, dengan berfokus pada pemantauan dan pengukuran performansi jaringan WLAN serta untuk mengetahui seberapa besar kinerja jaringan tersebut misalnya kecepatan koneksi dari titik pengirim ke titik tujuan. Dalam penelitian ini digunakan metode Action Research (AR) dalam membantu menganalisis QoS jaringan WLAN agar memberikan hasil yang akurat dan maksimal. Dari hasil penelitian didapatkan bahwa QoS jaringan WLAN di PT PLN Indonesia Comnets Plus SBU Regional Sumbagsel hasil yang diperoleh termasuk dalam kategori bagus menurut standar TIPHON dengan rata-rata indeks yang diperoleh senilai 3,5 dengan persentase sebesar 87,5%.
Desain dan Pengembangan Website untuk Mendeteksi Malware Menggunakan Framework Flask yang Diintegrasikan dengan Machine Learning Ciksadan, Ciksadan; Soim, Sopian; Jami, Nurlita
Jurnal Teknologi Sistem Informasi dan Aplikasi Vol. 7 No. 3 (2024): Jurnal Teknologi Sistem Informasi dan Aplikasi
Publisher : Program Studi Teknik Informatika Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/jtsi.v7i3.42003

Abstract

One of the most widely used media for information dissemination is the website. A dynamic and informative website will make it easier for users to access information. Web development often requires complex technologies. One method that can simplify the development process is using the Flask framework, which offers flexibility and freedom to developers. A website must also have functionality to be useful; one current issue is the increasing number of malware file cases. Therefore, there is a need for a medium that can analyze a file. However, currently, there are limited services available for this purpose. This research aims to build a website that detects malware files using the Flask framework integrated with machine learning for malware file detection. Through this research, a website with five informative menus has been developed, featuring a dynamic and easily accessible interface with a malware file detection capability reaching 99% accuracy.
Perbandingan Algoritma Support Vector Machine dan Bi-Directional Long Short Term Memory Dalam Mengklasifikasi Berita Hoaks Merinda, Siska; Ciksadan, Ciksadan; Fadhli, Mohammad
Building of Informatics, Technology and Science (BITS) Vol 7 No 1 (2025): June (2025)
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v7i1.7391

Abstract

The rapid advancement of digital technology has made it easier to spread information widely and quickly. However, this ease of access has also contributed to the rise of false or misleading news, commonly known as hoaxes, which can confuse the public. This study aims to evaluate and compare the performance of two machine learning algorithms, namely Support Vector Machine (SVM) and Bi-Directional Long Short Term Memory (BiLSTM), in classifying hoax news written in Indonesian. The research adopts a supervised learning approach, where models are trained using pre-labeled data categorized as either hoax or non-hoax. The process begins with collecting data from trusted sources, followed by several preprocessing steps, including text cleaning, tokenization, stopword removal, and stemming. After preprocessing, the dataset is split into training and testing sets in an 80:20 ratio. The results show that the SVM model achieved an accuracy of 98.46%, with 98% precision and 99% recall for the non-hoax category. In comparison, the BiLSTM model performed better, reaching 99% accuracy, with both precision and recall at 99% for both categories. These findings indicate that BiLSTM is more effective at capturing linguistic context and identifying patterns in hoax-related content. Additionally, the models were implemented into a web-based system to assess their real-world detection capabilities.
Co-Authors Ade Silvia Handayani Ade Silvia, Ade Ahmad Taqwa Alifah, Farah Balqis As'ad, Avif Choirunnisa Choirunnisa, Choirunnisa Damayanti, Shinta Endri, Jon Fadhli, Mohammad Hawayanti, Erni Ihsan, Muhammad Nabil IRAWAN, FERY Irma Salamah Jami, Nurlita Merinda, Siska Ramadonna, Try Feby Shalama, Maura Fatima Sopian Soim, Sopian Sugiyanto, Aan Suroso Suroso Thabroni, Feri ZEFI, SUSAN