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SULIWA: Jurnal Multidisiplin Teknik, Sains, Pendidikan dan Teknologi
Published by Lembaga Kajian Pembangunan Pertanian dan Lingkungan
ISSN : 30646103     EISSN : 30646103     DOI : https://doi.org/10.62671/suliwa.v1i1.12
Core Subject : Science, Engineering,
Computer Science & IT Electrical & Electronics Engineering Engineering
SULIWA: Jurnal Multidisiplin Teknik, Sains, Pendidikan dan Teknologi adalah jurnal multidisiplin, peer-review, dan akses terbuka yang menyediakan platform untuk menghasilkan penelitian asli berkualitas tinggi, Ulasan, Surat, dan laporan kasus dalam ilmu alam, sosial, terapan, formal, seni, dan semua bidang terkait lainnya. Tujuan kami adalah untuk meningkatkan distribusi cepat ide dan hasil penelitian baru dan memungkinkan para peneliti untuk menciptakan pengetahuan, studi, dan inovasi baru yang akan membantu sebagai alat referensi untuk masa depan. Artikel yang dikirim ke SULIWA tidak boleh dipublikasikan di tempat lain. Naskah harus mengikuti pedoman penulis yang disediakan oleh SULIWA dan harus ditinjau dan diedit. SULIWA diterbitkan tiga kali dalam satu tahun, yaitu pada bulan Maret, Juli dan Nopember.
Arjuna Subject : Umum - Umum
Articles 47 Documents
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RANCANG BANGUN DETEKSI BANJIR BERDASARKAN TINGKAT KETINGGIAN AIR DAN INTENSITAS HUJAN BERBASIS INTERNET OF THINGS (IOT) Amelia, Helsi; Dewi, Ratna; Nita, Sri
SULIWA: Jurnal Multidisiplin Teknik, Sains, Pendidikan dan Teknologi Vol. 3 No. 1 (2026): SULIWA: Jurnal Multidisiplin Teknik, Sains, Pendidikan dan Teknologi, Maret 202
Publisher : LEMBAGA KAJIAN PEMBANGUNAN PERTANIAN DAN LINGKUNGAN (LKPPL)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62671/suliwa.v3i1.127

Abstract

 Flooding is a natural disaster that frequently occurs in various regions of Indonesia. It cause material losses as well as casualties, and significantly impact the lives of affected communities. To reduce these risks and damages, an early detection system that can monitor environmental conditions in real-time is needed. This study aims to design and implement a flood detection system based on the Internet of Things (IoT) by utilizing the JSN-SR04T ultrasonic sensor to measure water levels and a rainfall sensor to detect rainfall intensity. The data collected from the sensors is transmitted via LoRa E220 communication, which is known for its long-range capability and low power consumption. The system consists of a transmitter node and a receiver node, where the received data is analyzed to determine flood potential. In addition, the system is integrated with the Telegram platform to automatically send notifications to Telegram users. The test results show that the system is capable of accurately monitoring water levels and rainfall, and can provide timely alerts. Therefore, this system offers an effective solution to increase awareness of potential flood hazards.
RANCANG BANGUN SISTEM DETEKSI KANTUK PENGEMUDI PADA KENDARAAN BERBASIS RASPBERRY PI DENGAN ALARM DAN NOTIFIKASI D'coen, Muhammad Aziz; B, Firdaus; Dewi, Ratna
SULIWA: Jurnal Multidisiplin Teknik, Sains, Pendidikan dan Teknologi Vol. 3 No. 1 (2026): SULIWA: Jurnal Multidisiplin Teknik, Sains, Pendidikan dan Teknologi, Maret 202
Publisher : LEMBAGA KAJIAN PEMBANGUNAN PERTANIAN DAN LINGKUNGAN (LKPPL)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62671/suliwa.v3i1.128

Abstract

Drowsiness-related traffic accidents are one of the leading causes of road fatalities. Drowsiness reduces concentration and slows a driver’s reaction time to road conditions. This research aims to design and implement a drowsiness detection system based on the Raspberry Pi 4 Model B+, capable of providing early warnings through an audible alarm and sending notifications to an administrator via email. The system employs a web camera to capture real-time facial images of the driver, which are then processed using the Eye Aspect Ratio (EAR) method with the OpenCV and Dlib libraries. If the EAR value falls below a predefined threshold for a certain duration, the system triggers a speaker alarm and sends notifications to the administrator. The system was tested under various lighting and distance conditions to evaluate its accuracy. The results show that the system can detect drowsy eye conditions with an accuracy good. This system is expected to serve as a preventive solution to reduce the risk of accidents caused by drowsiness, particularly for both private and commercial vehicle drivers.
PENERAPAN INTERNET OF THINGS UNTUK SISTEM PENDETEKSI DAN PENGENDALIAN ASAP DAN SUHU DALAM RUANGAN Pratama, Farhan Abdi; Rifka , Silfia; Lifwarda, Lifwarda
SULIWA: Jurnal Multidisiplin Teknik, Sains, Pendidikan dan Teknologi Vol. 3 No. 1 (2026): SULIWA: Jurnal Multidisiplin Teknik, Sains, Pendidikan dan Teknologi, Maret 202
Publisher : LEMBAGA KAJIAN PEMBANGUNAN PERTANIAN DAN LINGKUNGAN (LKPPL)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62671/suliwa.v3i1.136

Abstract

Clean air and comfortable temperature are important factors for the health and comfort of indoor occupants. Smoke, especially cigarette smoke, and high temperatures can reduce air quality and have a negative impact on health. This research aims to design and implement an Internet of Things (IoT)-based indoor smoke and temperature monitoring and control system. The system uses MQ2 sensor for smoke detection and DHT22 sensor for temperature measurement, controlled by ESP32 microcontroller connected via Wi-Fi. Sensor data is processed in real-time to automatically activate the exhaust fan and fan based on predetermined thresholds. In addition, the system provides manual control through a mobile application developed in MIT App Inventor, and data is stored in Google Sheets for historical monitoring. Test results show the system is can to accurately monitor smoke levels and temperature and control actuators both automatically and manually. Sensor data was successfully transmitted and stored in Google Sheets with minimal delay. This system provides an effective solution to improve air quality and space comfort using IoT technology.
ANTENA ARRAY LINIER VERTIKAL UNTUK MENINGKATKAN DAYA TERIMA SINYAL TELEVISI DIGITAL PADA WILAYAH PEDESAAN (RURAL AREA) Priatmo, Sandri; Yulindon, Yulindon; Nursal , Firdaus
SULIWA: Jurnal Multidisiplin Teknik, Sains, Pendidikan dan Teknologi Vol. 3 No. 2 (2026): SULIWA: Jurnal Multidisiplin Teknik, Sains, Pendidikan dan Teknologi, Juli 2026
Publisher : LEMBAGA KAJIAN PEMBANGUNAN PERTANIAN DAN LINGKUNGAN (LKPPL)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62671/suliwa.v3i2.233

Abstract

The transition from analog to digital television broadcasting in Indonesia improves picture and sound quality; however, signal reception in rural areas remains a challenge due to long distances from transmitters and unfavorable topography. Conventional antennas and signal boosters have not provided optimal performance. This study aims to design a vertical linear antenna array with a stacking configuration to enhance digital television signal reception in the Ultra High Frequency (UHF) band. The antenna design was carried out through theoretical calculations, simulation, and optimization using CST Studio Suite 2019. The analyzed parameters include return loss, VSWR, gain, bandwidth, and radiation pattern. Simulation and testing results show that the antenna achieves a return loss below −10 dB, VSWR less than 2, gain above 10 dBi, and a unidirectional radiation pattern. The proposed antenna effectively improves digital television reception quality in rural areas.
PENERAPAN INTERNET OF THINGS (IOT) DALAM SISTEM OTOMATISASI PENGISIAN DEPOT AIR GALON Sampurna, Rama; Veronica, Vera; Rifka, Silfia
SULIWA: Jurnal Multidisiplin Teknik, Sains, Pendidikan dan Teknologi Vol. 3 No. 2 (2026): SULIWA: Jurnal Multidisiplin Teknik, Sains, Pendidikan dan Teknologi, Juli 2026
Publisher : LEMBAGA KAJIAN PEMBANGUNAN PERTANIAN DAN LINGKUNGAN (LKPPL)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62671/suliwa.v3i2.236

Abstract

Manually filling gallons of water causes many problems, such as volume inaccuracy, waste, and suboptimal water quality monitoring. This research aims to develop an Internet of Things (IoT)-based gallon water filling automation system using an ESP32 microcontroller and a flow meter sensor for accurate water volume measurement and real-time monitoring via a web dashboard and WhatsApp notifications. The methods used include literature review, hardware and software design, and comprehensive system testing. This system integrates RFID-based user authentication, automatic pump and solenoid valve control, transaction data recording in a MySQL database, and automatic user notifications. Test results show that the system can automatically and accurately fill gallons of water to the desired volume, stop the flow when the gallon is full, minimize human error, and allow users to monitor the filling process remotely. Thus, this system provides a more efficient, modern, and transparent gallon water filling solution for drinking water depot businesses
ANALISIS DATA PENERIMAAN SINYAL ADS-B DALAM MENENTUKAN LOKASI PESAWAT MENGGUNAKAN RTL-SDR DAN LOW NOISE AMPLIFIER Defino, Adam Bintang; Maria, Popy; Ridho, Sahid; Khair, Ummul
SULIWA: Jurnal Multidisiplin Teknik, Sains, Pendidikan dan Teknologi Vol. 3 No. 2 (2026): SULIWA: Jurnal Multidisiplin Teknik, Sains, Pendidikan dan Teknologi, Juli 2026
Publisher : LEMBAGA KAJIAN PEMBANGUNAN PERTANIAN DAN LINGKUNGAN (LKPPL)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62671/suliwa.v3i2.240

Abstract

Automatic Dependent Surveillance-Broadcast (ADS-B) allows real-time monitoring of aircraft positions, but Software Defined Radio (SDR) devices such as the RTL-SDR have sensitivity limitations that can affect signal reception quality, especially at long distances or under less than ideal  conditions. This study designs an ADS-B receiver system based on the RTL-SDR equipped with a Low Noise Amplifier (LNA) to amplify weak signals without adding significant noise. The method includes receiver circuit design, antenna installation, LNA integration, and signal reception testing at various distances. Reception data with and without the LNA are compared based on the maximum distance and the number of messages received. The results show that the LNA increases the maximum reception distance from 309.95 km to 417.90 km and improves signal stability at medium and short distances. This system is able to capture more messages, including from aircraft under less than  ideal  propagation  conditions. The combination of the RTL-SDR and LNA has proven to be effective and economical as an alternative to expensive device-based flight monitoring.
PREDIKSI HARGA MOTOR BEKAS DI KOTA KUPANG MENGGUNAKAN METODE RANDOM FOREST Ulumando, Mohamad Iqbal
SULIWA: Jurnal Multidisiplin Teknik, Sains, Pendidikan dan Teknologi Vol. 3 No. 2 (2026): SULIWA: Jurnal Multidisiplin Teknik, Sains, Pendidikan dan Teknologi, Juli 2026
Publisher : LEMBAGA KAJIAN PEMBANGUNAN PERTANIAN DAN LINGKUNGAN (LKPPL)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62671/suliwa.v3i2.258

Abstract

Used motorcycle prices in the market often fluctuate and are influenced by various factors such as brand, type, year of manufacture, engine capacity, mileage, vehicle condition, and tax status. In Kupang City, the determination of used motorcycle prices is generally still performed manually based on seller estimates or market conditions, which can lead to significant price differences. Therefore, a method is needed to estimate used motorcycle prices more objectively and accurately. This research seeks to develop a model for predicting used motorcycle prices employing the Random Forest algorithm. The dataset used consists of 200 used motorcycle records collected from used motorcycle sales data in Kupang City. The data undergoes a preprocessing stage before being used for model development. Furthermore, the dataset is partitioned into training data and testing to build evaluate prediction. The evaluation results show a Mean Absolute Error (MAE) of Rp.4,418,477, a Mean Squared Error (MSE) of 26,617,157,710,315, and a Root Mean SquSquared Error (RMSE) of Rp.5,159,181. The findings suggest that the Random Forest predict motorcycle prices with reasonably acceptable error rate, making it a useful approach for estimating used motorcycle prices based on vehicle attributes.

Page 5 of 5 | Total Record : 47

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