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All Journal Informatika Mulawarman: Jurnal Ilmiah Ilmu Komputer JTT (Jurnal Teknologi Terpadu) Dinamisia: Jurnal Pengabdian Kepada Masyarakat JSAI (Journal Scientific and Applied Informatics) Just TI (Jurnal Sains Terapan Teknologi Informasi) TIN: TERAPAN INFORMATIKA NUSANTARA Community Empowerment Journal of Artificial Intelligence and Engineering Applications (JAIEA) ETAM: Jurnal Pengabdian kepada Masyarakat Adopsi Teknologi dan Sistem Informasi Jurnal Nasional Komputasi dan Teknologi Informasi
Irwansyah Irwansyah
Politeknik Negeri Samarinda
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Implementasi Internet of Things dalam Pemantauan Kondisi Burung Kacer Rizka Upa’ Mallisa’; Agus Triyono; Irwansyah
Jurnal Nasional Komputasi dan Teknologi Informasi Vol. 9 No. 4 (2026): Agustus, 2026
Publisher : Program Studi Teknik Komputer, Fakultas Teknik. Universitas Serambi Mekkah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32672/f2sn4432

Abstract

Abstrak - Pemeliharaan burung kacer memerlukan pemantauan kondisi lingkungan yang meliputi suhu, kelembapan, kualitas udara, serta ketersediaan air minum agar kesehatan burung tetap terjaga. Metode pemantauan manual sering menimbulkan keterlambatan dalam memperoleh informasi sehingga berpotensi mengganggu kenyamanan dan kesejahteraan burung. Berdasarkan permasalahan tersebut, penelitian ini merancang dan mengimplementasikan sistem pemantauan berbasis Internet of Things (IoT) yang mampu memonitor kondisi lingkungan kandang burung kacer secara real-time. Sistem ini menggunakan mikrokontroler ESP32 sebagai pengendali utama, dengan sensor DHT22 untuk mengukur suhu dengan kelembapan, sensor MQ-135 untuk memantau kualitas udara, serta water level sensor untuk mendeteksi ketinggian air minum. Hasil pembacaan sensor dikirim secara terus-menerus ke Firebase Realtime Database dan ditampilkan melalui website monitoring agar dapat diakses dari jarak jauh. Selain pemantauan data, sistem juga dilengkapi aktuator seperti kipas pendingin dan pompa air mini DC yang bekerja berdasarkan nilai sensor guna membantu menjaga stabilitas lingkungan kandang. Pemantauan parameter-parameter tersebut dilakukan secara real-time karena fluktuasi lingkungan kandang berpengaruh langsung terhadap kondisi kesehatan, tingkat stres, dan kualitas suara burung kacer. Hasil pengujian menunjukkan bahwa sistem dapat beroperasi secara stabil dan responsif  dalam memantau habitat secara akurat, sehingga membantu pemilik dalam menjaga kondisi burung kacer tetap prima dan meminimalkan risiko kematian akibat stres lingkungan. Kata kunci : Burung Kacer; IoT; Firebase; Website; Abstract – The maintenance of vultures requires monitoring environmental conditions including temperature, humidity, air quality, and the availability of drinking water to keep birds healthy. Manual monitoring methods often cause delays in obtaining information, thus potentially disturbing the comfort and well-being of birds. Based on these problems, this study designed and implemented an Internet of Things (IoT)-based monitoring system capable of monitoring the environmental conditions of the birdhouse in real-time. The system uses the ESP32 microcontroller as its primary controller, with a DHT22 sensor to measure temperatur with humidity, an MQ-135 sensor to monitor air quality, and a water level sensor to detect drinking water level. Sensor readout results are sent continuously to the Firebase Realtime Database and displayed via the monitor website to be accessible remotely. In addition to data monitoring, the system also features actuators such as cooling fans and DC mini water pumps that work based on sensor values to help maintain stability in the enclosure environment. Real-time monitoring of these parameters is done because the fluctuations in the cage environment directly affect the health condition, stress level, and sound quality of the vultures. Tests showed that the system could operate in a stable and responsive manner in monitoring habitats accurately, thus helping owners in maintaining primal conditions and minimizing the risk of death from environmental stress. Keywords: Mackerel; IoT; Firebase; Website;
Rancang Bangun Sistem Pelacakan dan Pemantauan Hewan Peliharaan Berbasis Internet of Things Menggunakan Global Positioning System Muhammad Hasan; Fara Triadi; Irwansyah
Adopsi Teknologi dan Sistem Informasi (ATASI) Vol. 5 No. 2 (2026): Adopsi Teknologi dan Sistem Informasi (ATASI)
Publisher : Mulawarman University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30872/atasi.v5i2.4591

Abstract

Kekhawatiran pemilik akan hewan peliharaan yang hilang atau keluar dari area aman menjadi masalah umum yang dapat diatasi melalui penerapan teknologi Internet of Things (IoT) untuk pemantauan real-time. Penelitian ini bertujuan merancang dan mengimplementasikan sistem pelacakan dan pemantauan hewan peliharaan yang mengintegrasikan teknologi GPS, komunikasi nirkabel LoRa, dan fitur Geofencing. Hasil penelitian menunjukkan sistem telah berhasil diimplementasikan secara fungsional, dibuktikan dengan akurasi pelacakan GPS yang mencatatkan error rata-rata 0,41% pada sumbu latitude dan 0,051% pada sumbu longitude. Teknologi LoRa juga berhasil digunakan untuk komunikasi data nirkabel, di mana pengujian sinyal menunjukkan pelemahan yang signifikan seiring bertambahnya jarak, dari -76 dBm  (20 meter) menjadi -116 dBm (200 meter). Selain itu, fitur Geofencing berbasis poligon mampu berfungsi dalam mendeteksi batas area yang ditentukan. Seluruh data lokasi dan status geofence berhasil dikirimkan dan disimpan secara real-time ke Firebase Realtime Database, memungkinkan visualisasi data yang efektif oleh pengguna melalui dashboard pemantauan.
Camera-Based Parking Slot Monitoring System using Adaptive Brightness Thresholding and HSV Color Filtering Muhammad Rifky Elviandy; Irwansyah; Agus Triyono
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 6 No. 1 (2026): October 2026
Publisher : Yayasan Kita Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59934/jaiea.v6i1.2622

Abstract

Traditional parking systems have been known to cause traffic queues and difficulty in locating parking spaces. This study proposes a camera-based parking slot monitoring system that combines Region of Interest (ROI), adaptive brightness thresholding, and HSV color detection, without relying on any artificial intelligence algorithm such as CNN or YOLO. This approach was chosen so that the system can run lightly in real time on a low-power embedded device such as a Raspberry Pi 4, without requiring a training dataset or GPU acceleration. A USB camera was used as the visual sensor, a Raspberry Pi 4 as the computing unit, Firebase Realtime Database as the data storage, and a web-based dashboard as the monitoring interface. A small-scale parking prototype consisting of 20 slots was tested under two lighting conditions. As a result, detection accuracy reached 87.5% under bright lighting conditions and 65% under low-light conditions, with an average data update latency of 1–2 seconds. These findings indicate that a rule-based, pixel-brightness approach is sufficiently effective for small-scale parking monitoring, although performance under low-light conditions still requires improvement through additional lighting or more adaptive thresholding methods.
Design and Construction of a Storage Box with Facial Recognition for Authentication Andika Julian Pratama; Abdullah Hanif; Irwansyah
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 6 No. 1 (2026): October 2026
Publisher : Yayasan Kita Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59934/jaiea.v6i1.2704

Abstract

Conventional storage box systems still rely on physical keys that are prone to being lost. This study aims to design a smart storage box system based on facial recognition to enhance security and efficiency. The approach utilizes an ESP32-CAM module integrated with the Haar Cascade method for real-time face detection. The system's operation involves stages of face detection, feature extraction, and database matching. Upon successful authentication, the solenoid lock opens automatically; conversely, access is denied if the face is unrecognized. Testing on 30 facial image samples demonstrated a 100% success rate under normal lighting conditions. Additionally, the system recorded an average response time of one second for the lock to open. It can be concluded that the system operates stably and effectively as a keyless security alternative for storage boxes.
Early Flood Warning System in Samarinda City Gusvi Ainur Ikhsan Isnor; Abdullah Hanif; Irwansyah
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 6 No. 1 (2026): October 2026
Publisher : Yayasan Kita Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59934/jaiea.v6i1.2709

Abstract

This study aims to design and implement an Early Flood Warning System in Samarinda City to help the community monitor potential flooding in real-time. The system uses an ESP32 microcontroller connected to the Firebase Realtime Database and is equipped with two main sensors: a raindrop sensor to detect rainfall intensity and an ultrasonic sensor to measure water surface height. The sensor data are displayed on an LCD 16x2 and sent directly to Firebase, which can then be accessed via an Android application or a local web interface based on HTML. The system also includes a buzzer that serves as an alarm when the detected condition reaches a danger level. In addition, a fuzzy logic method is applied to determine the flood risk level based on the combination of rainfall intensity and water surface distance. Based on the test results, the system operates stably with a high level of 80% accuracy in displaying data and delivering timely warning notifications. Therefore, this system can serve as an effective and practical flood mitigation tool for communities in the Samarinda area.
Pelatihan Aplikasi Pendataan Penduduk untuk Pengurus RT Kota Samarinda Ahmad Rofiq Hakim; Karyo Budi Utomo; Irwansyah; Agus Triyono; Wahyuni Ekasari
Jurnal ETAM Vol. 4 No. 2 (2024): JUNE
Publisher : Politeknik Negeri Samarinda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46964/etam.v4i2.699

Abstract

Pelatihan Aplikasi Pendataan Penduduk untuk Pengurus RT Kota Samarinda merupakan program pelatihan yang ditujukan kepada para pengurus Rukun Tetangga (RT) di Kota Samarinda untuk meningkatkan kemampuan mereka dalam mengelola data penduduk secara efisien. Pelatihan ini bertujuan untuk memperkenalkan dan memberikan pemahaman kepada peserta mengenai penggunaan aplikasi pendataan penduduk yang dapat mempermudah proses pengumpulan, pengolahan, dan pemeliharaan data penduduk di tingkat RT.Selama pelatihan, peserta akan diberikan pengetahuan dan keterampilan dasar dalam penggunaan aplikasi pendataan penduduk yang mencakup pendaftaran penduduk baru, pemutakhiran data penduduk, pencatatan perubahan status penduduk, dan manajemen data penduduk secara keseluruhan. Pelatihan juga akan melibatkan sesi praktik langsung menggunakan aplikasi, sehingga peserta dapat mengaplikasikan pengetahuan yang telah mereka peroleh. Dengan adanya pelatihan ini, diharapkan para pengurus RT di Kota Samarinda akan mampu menjalankan tugas mereka dengan lebih efektif dan efisien dalam mengelola data penduduk. Aplikasi pendataan penduduk akan membantu mengurangi risiko kesalahan data, meningkatkan akurasi informasi penduduk, dan mempercepat proses pengambilan keputusan berdasarkan data yang valid. Dalam jangka panjang, hal ini diharapkan dapat berdampak positif terhadap pembangunan dan perencanaan kota Samarinda, serta pelayanan publik yang lebih baik kepada warga masyarakat.
Robot Line Follower sebagai Alat Permainan Edukatif bagi Anak Usia Dini: Line Follower Robot as An Educational Game Media for Early Childhood Wahyuni Eka Sari; Agus Triyono; Irwansyah; Karyo Budi Utomo; Ahmad Rofiq Hakim
Jurnal ETAM Vol. 4 No. 3 (2024): OCTOBER
Publisher : Politeknik Negeri Samarinda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46964/etam.v4i3.1039

Abstract

Fine motor skills in children that involve movements using small muscles in the hands and wrists need to be trained through writing, eating, dressing, and playing activities. These skills develop gradually from birth to adulthood and require regular practice. One of the play activities to train fine motor skills in early childhood is assembling robots. This activity can improve children's fine motor skills, improve hand-eye coordination, dexterity, accuracy, strength, creativity, problem solving, and spatial awareness. The robot used in this activity is a line follower robot. There are 3 types of robots used in this activity. This activity was carried out with students of Kartika V-16 Samarinda Kindergarten which began with interviews with teachers, preparing activity materials, and presenting materials while practicing them with students and parents. The results of this activity show that assembling robots from used goods is not only fun, but also educational and improves the relationship between parents and children. This activity can also be an effective and fun way to introduce children to the world of technology and support the development of their essential skills.
Analisis Kinerja Sistem Monitoring Multi Gas Berbasis Sensor MQ-Series Yhunike Widiya Pratama; Ahmad Rofiq Hakim; Irwansyah
Jurnal Teknologi Terpadu Vol 14 No 2 (2026): JTT (Jurnal Teknologi Terpadu)
Publisher : Pusat Penelitian dan Pengabdian Kepada Masyarakat

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

Abstract

Kualitas udara merupakan salah satu faktor penting yang mempengaruhi kesehatan dan keselamatan lingkungan. Monitoring gas diperlukan untuk mendeteksi keberadaan gas berbahaya dan perubahan kualitas udara secara lebih dini. Penelitian ini bertujuan untuk menganalisis kinerja sistem monitoring multi gas berbasis sensor MQ-series menggunakan beberapa sensor gas, yaitu MQ-3, MQ-5, MQ-6, MQ-7, MQ-9, dan MQ-135. Sistem dirancang menggunakan mikrokontroler Arduino UNO R4 Wi-Fi sebagai pusat pengendali, LCD Nextion sebagai media tampilan, serta LED Bar RGB sebagai indikator visual kondisi gas. Metode penelitian menggunakan pendekatan eksperimen melalui pengujian respons sensor, validasi sistem terhadap alat ground truth KKMOON JSM-131 SC Gas Analyzer, serta analisis error menggunakan parameter Mean Absolute Error (MAE), Root Mean Square Error (RMSE), dan Mean Absolute Percentage Error (MAPE). Hasil pengujian menunjukkan bahwa seluruh sensor mampu memberikan respons terhadap perubahan kondisi udara sesuai karakteristik gas target masing-masing sensor. Hasil validasi menunjukkan nilai MAE sebesar 15.26 ppm, RMSE sebesar 17.84 ppm, dan MAPE sebesar 9.73%, sehingga sistem memiliki tingkat kesesuaian pembacaan yang cukup baik terhadap alat referensi. Selain itu, hasil perbandingan karakteristik resistansi sensor terhadap sensor referensi industri menunjukkan margin error di bawah 25%. Berdasarkan hasil penelitian, sistem monitoring multi gas berbasis sensor MQ-series mampu bekerja sesuai rancangan dan dapat digunakan sebagai sistem monitoring gas berbiaya rendah untuk pemantauan kualitas udara secara sederhana.
Co-Authors Abdul Najib Abdullah Hanif Agus Triyono Ahmad Rofiq Hakim Ahmad Saiful Mutaqi Azis Andika Julian Pratama Anton Topadang Arif Dwi Prasetya Bambang Cahyono Bintang Tmur Chntya Dwi Anggraini Devara Putra Sajjana Fara Triadi Fara Triadi Gusvi Ainur Ikhsan Isnor Haidi Nurhadinata Hardiyanto Wardana Karyo Budi Utomo Muchamad Zainul Rohman Muh Taufiq Nur Hidayat Muhammad Aji Pangestu Muhammad Aji Pangestu Muhammad Bagus Muhammad Farman Andrijasa Muhammad Hasan Muhammad Rifky Elviandy Nia Fitriani Noor Alam Hadiwijaya Rindy Mauliddina Rizka Upa’ Mallisa’ Safruddin Safruddin Susanna Susanna susanna Susanna Wahyuni Eka Sari Wahyuni Ekasari Yhunike Widiya Pratama