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Carbon Emission Simulation at the Slamet Riyadi Three-Way Intersection in Samarinda City Using Urban Mobility Simulation Arsan Kumala Jaya; Fara Triadi; Abdullah Hanif
Journal of Embedded Systems, Security and Intelligent Systems Vol 6, No 2 (2025): June 2025
Publisher : Program Studi Teknik Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/jessi.v6i2.8212

Abstract

This study uses Simulation Urban Mobility (SUMO) to simulate carbon emissions at the Slamet Riyadi Samarinda intersection. One of the big cities in Indonesia, Samarinda, faces major problems related to increasing traffic volume and its impact on air quality, especially carbon emissions. This simulation uses various traffic parameters, such as vehicle density, red light duration, and vehicle type. The purpose of this simulation is to evaluate the level of carbon emissions produced by vehicles passing through the intersection. The simulation begins by collecting traffic data and then converting it into an XML file that can be read by SUMO. This XML file contains information about traffic parameters, road networks, and vehicles. According to the simulation results, trucks contributed the most emissions per vehicle, with a total emission of almost 18,500 grams of CO₂ per hour. Traffic scenarios under real-world conditions were simulated using the SUMO tool with HBEFA-based emission models.. This study is expected to provide a clearer picture of the impact of traffic on the environment as well as recommendations for more effective traffic management strategies to reduce carbon emissions in Samarinda City.
Rancang Bangun Alat Penyiraman, Pemupukan, Dan Penyemprotan Pestisida Pada Bibit Kelapa Sawit Berbasis Internet of Things Wawan Hermanto; Wahyuni Eka Sari; Abdullah Hanif
Riau Jurnal Teknik Informatika Vol. 5 No. 2 (2026): Juli 2026
Publisher : Prodi Teknik Informatika Universitas Pasir Pengaraian

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30606/rjti.v5i2.4691

Abstract

Manual care for oil palm seedlings during the nursery stage is often inefficient, labor-intensive, and prone to inaccuracies regarding the dosage and frequency of water, fertilizer, and pesticide application. This study aimed to design and develop an integrated Internet of Things (IoT)-based automation system that combines watering, liquid fertilization, and pesticide spraying functions into a single device capable of remote monitoring and control. The system was constructed using an ESP32 microcontroller, a soil moisture sensor (YL-69), a rain sensor (FC-37), a DS3231 RTC module, three DC pumps, and relays; sensor data is transmitted to the Firebase Realtime Database and displayed via a web dashboard. Test results demonstrated that the soil moisture sensor automatically activates the pump when levels fall below a 30% threshold, the rain sensor responds to weather changes in under one second, and data communication remains stable with an average delay of 1–2 seconds. This IoT system contributes to improved seedling care efficiency, evidenced by an average seedling height growth of 15 cm over 30 days, compared to 12 cm using manual methods.
Alat Pendeteksi Keabsahan Surat Suara Otomatis Berbasis Thresholding Contour Detection Muhammad Ardika; Wahyuni Eka Sari; Abdullah Hanif
Jurnal Teknik Industri Terintegrasi (JUTIN) Vol. 9 No. 3 (2026): July
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jutin.v9i3.60179

Abstract

This research discusses the design of a ballot validation system based on Threshold Contour Detection using ESP32-CAM, Firebase, and OpenCV. The goal is to develop an automated method for identifying holes in ballots to assess their validity. The ESP32-CAM captures ballot images and sends them to Firebase Storage for processing with OpenCV using the Threshold Contour Detection method. The results of the validity analysis are sent to the Firebase Realtime Database for display on a web page. Test results showed the system performed as designed, although there were some errors. Lighting significantly affected the image quality captured by the ESP32-CAM, while internet connection played a crucial role in data synchronization. Performance evaluations demonstrated that implementing this method helped election officials validate ballots, although the detection process still needs improvement. The system successfully detected "valid" ballots with an 86% success rate, indicating that the application is suitable for counting valid ballots.
RANCANG BANGUN ALAT MONITORING DAN KONTROL CAIRAN INFUS BERBASIS INTERNET OF THINGS M Hardianur; Abdullah Hanif; Karyo Budi Utomo
Jurnal Informatika dan Teknik Elektro Terapan Vol. 14 No. 3 (2026)
Publisher : Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jitet.v14i3.10822

Abstract

Teknologi Internet of Things (IoT) diterapkan untuk mengoptimalkan sistem pemantauan cairan infus yang selama ini masih dilakukan secara manual. Penelitian ini merancang dan mengimplementasikan sistem monitoring infus dua kanal berbasis IoT menggunakan mikrokontroler ESP32, sensor load cell dengan modul HX711, sensor warna TCS34725, serta motor servo sebagai aktuator penutup jalur cairan otomatis. Data kondisi cairan dikirim langsung ke Firebase Realtime Database agar dapat dipantau melalui dashboard web secara real-time. Hasil pengujian dari 10 percobaan menunjukkan sistem sensor dan notifikasi berhasil mendeteksi kondisi infus dengan akurasi 100%. Namun, tingkat keberhasilan motor servo dalam menutup aliran otomatis mencapai 60% (6 kali berhasil), di mana 4 kegagalan terjadi akibat ketidaktetapan sudut putar servo sehingga jepitan selang kurang maksimal. Secara keseluruhan, sistem ini mampu meningkatkan efisiensi dan keamanan pemantauan volume cairan infus, meskipun masih memerlukan penyempurnaan mekanis pada aktuator penutup selang.