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IoT-Based System of Monitoring Realtime Air Quality with MQ135 and Automatic Chicken Feeding Dani Sasmoko; Reni Veliyanti; Rozi Azwar Pradana
Journal of Technology Informatics and Engineering Vol. 1 No. 2 (2022): August: Journal of Technology Informatics and Engineering
Publisher : University of Science and Computer Technology

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/jtie.v1i2.136

Abstract

IoT technology is useful for chicken farming to control the condition of the farm concerning some problems such as odour, temperature fluctuations and feeding time system. This study used MQ135 to detect ammonia odour level, DHT11 to check room temperature, and RTC3231 to regulate feeding time. The data obtained from the sensor was sent by wemos to the fire base and MySQL to be read on android so that it can be monitored directly by the breeder. When the ammonia level is above normal it will turn on the odour fan. If DHT11 reaches the value above 300C, it will turn on the cooling fan, and turn on the heating light when the temperature is below 250C. As RTC3231 sets the time at 07.00 and 14.00, the chicken feeder will automatically open to feed the chickens according to the time set. Table 1 and 2 show that the experiment obtained a value of 100% working well. This study succeeded in monitoring environmental conditions through Android and executing automatic feeding at the predetermined time. Thus, it can be concluded that the use of IoT technology for monitoring and feeding system automation in chicken farms is highly recommended.
PELATIHAN ADMINITRASI BAGI PENGURUS DAWIS RT 1 RW 2 KELURAHAN PONGANGAN KECAMATAN GUNUNGPATI KOTA SEMARANG Reni Veliyanti; Dani Sasmoko; Arie Atwa Magriyanti; Muhammad Sidik
Community : Jurnal Pengabdian Pada Masyarakat Vol. 2 No. 3 (2022): November : Jurnal Pengabdian Pada Masyarakat
Publisher : LPPM Sekolah Tinggi Ilmu Ekonomi - Studi Ekonomi Modern

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/community.v2i3.233

Abstract

Administrasi adalah sebuah bentuk usaha dan aktivitas yang berkaitan dengan pengelolaan kebijaksanaan untuk mencapai tujuan tertentu. Tujuan administrasi tentunya sangat penting bagi perkembangan sebuah organisasi atau perusahaan. apabila diartikan lebih sempit lagi, administrasi merupakan aktivitas yg mencangkup catat-mencatat, surat menyurat, pembukuan ringan, ketik-mengetik, agenda, & lain sebagainya yg bersifat teknis ketatausahaan. Tujuan administrasi berperan penting pada penyusunan aktivitas sampai penilaian pada sebuah organisasi atau perusahaan. Setiap anggota organisasi perlu mengenali pengertian, unsur, fungsi, hingga ciri-cirinya agar tidak salah dalam memahami administrasi ini.
DEVELOPMENT INVENTORI SYSTEM METODE TREND MOMENT UNTUK OPTIMALISASI BERBASIS RFID Muhamad Sidik; Reni Veliyanti
Teknik: Jurnal Ilmu Teknik dan Informatika Vol. 2 No. 2 (2022): Oktober : Teknik: Jurnal Ilmu Teknik dan Informatika
Publisher : LPPM Sekolah Tinggi Ilmu Ekonomi - Studi Ekonomi Modern

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/teknik.v2i2.198

Abstract

In the warehouse department or warehouse in companies including PT. Semarang Packing Indonesia has a service system that still has not maximized the current technological developments that are growing rapidly. Included in the warehouse inventory system which often occurs is not available stock and excessive stock. This causes the inventory function in the warehouse not to work optimally. From these problems,. This system includes controlling inventory in the warehouse for purchases so as to reduce excessive or insufficient stock so that the stockter inventory is controlled, as well as the data input process that utilizes RFID so as to speed up the time in the data input process. This system uses the PHP and MYSQL programming languages as the database and utilizes the PHP Framework, namely CodeIgniter, in making this website. With a web-based system, it makes it easier for employees to process data in a timely manner.
Iot-Based Cattle Pen Security System Prototype with Wemos Sasmoko, Dani; Veliyanti, Reni; Ra’ifa, Muhammad Naufal
Circuit: Jurnal Ilmiah Pendidikan Teknik Elektro Vol. 8 No. 2 (2024)
Publisher : PTE FTK UIN Ar-Raniry

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22373/crc.v8i2.23399

Abstract

Cattle theft in cow barns frequently occurs in Central Java, Indonesia, highlighting the need for a monitoring system to prevent such thefts. The system developed uses Wemos integrated with a PIR sensor, employing Internet of Things (IoT) methods to detect human movement within the cow barn. A magnetic sensor will be installed on the barn door to provide remote monitoring. The monitoring system activates a buzzer and sends theft data to the cow barn owner from different locations. Testing of this monitoring system was successful, as evidenced by the PIR and magnetic sensors detecting breaches by triggering the buzzer. However, test results indicated that sending data to smartphones requires an internet connection within the barn. Compared to a CCTV system, this setup can deter theft by emitting a loud sound from the buzzer, but it lacks video and photo recording capabilities since it does not include a camera. Based on the design and testing results, it can be concluded that this cattle theft monitoring system has effectively detected suspicious movements in the barn
Desain dan Implementasi Smart Classroom Berbasis Sensor PIR dan DHT22 untuk Efisiensi Energi Reni Veliyanti; Dani Sasmoko; Fatahul Febry Dzuhur
Joined Journal (Journal of Informatics Education) Vol 8 No 1 (2025): Volume 8 Nomor 1 (2025)
Publisher : Universitas Ivet

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31331/joined.v8i1.3812

Abstract

Permasalahan pemborosan energi listrik di lingkungan pendidikan, terutama akibat lampu dan kipas yang sering dibiarkan menyala saat ruangan kosong, menjadi latar belakang penelitian ini. Penelitian ini bertujuan merancang sistem otomatisasi lampu dan kipas angin berbasis Internet of Things (IoT) dengan memanfaatkan mikrokontroler ESP32, sensor PIR untuk mendeteksi keberadaan manusia, dan sensor DHT22 untuk mengukur suhu ruangan. Sistem ini terhubung dengan aplikasi Blynk guna memudahkan pemantauan dan pengendalian secara real-time. Penelitian dilakukan di SMKS Budi Luhur Guntur selama satu bulan dengan pendekatan eksperimen terapan. Hasil pengujian menunjukkan bahwa sistem berfungsi dengan baik, mampu memberikan respons cepat dan akurat terhadap perubahan kondisi di ruangan. Efisiensi energi meningkat signifikan, dengan penghematan estimatif sebesar 25–30% di satu ruang kelas. Jika diimplementasikan secara menyeluruh, sistem ini berpotensi mengurangi konsumsi listrik hingga lebih dari 66 kWh per bulan. Penelitian ini memberikan kontribusi nyata dalam penerapan teknologi IoT untuk efisiensi energi di sektor pendidikan.
Perbandingan Prediksi Status Pompa Tandon Air Berbasis IoT Menggunakan Random Forest dan XGBoost Reni Veliyanti; Dani Samoko; Ummi Hanik
Joined Journal (Journal of Informatics Education) Vol 8 No 2 (2025): Volume 8 Nomor 2 (2025)
Publisher : Universitas Ivet

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31331/joined.v8i2.4294

Abstract

Pengelolaan air bersih di lingkungan rumah tangga dan instansi pemerintahan sering kali bergantung pada mekanisme manual atau saklar pelampung yang kurang efisien, menyebabkan pemborosan energi dan keterlambatan respons. Penelitian ini bertujuan mengembangkan model prediktif status pompa tandon air berbasis data sensor IoT, termasuk ketinggian air, kekeruhan, suhu, curah hujan, dan fitur temporal, untuk meningkatkan otomasi yang adaptif. Metodologi mencakup praproses data (normalisasi dengan StandardScaler, split 80:20), pelatihan enam algoritma machine learning (Logistic Regression, K-Nearest Neighbors, Support Vector Machine, Random Forest, XGBoost, Multi-Layer Perceptron) menggunakan Python di Google Colab, dengan hyperparameter tuning via GridSearchCV dan 5-fold cross-validation. Evaluasi menggunakan akurasi, precision, recall, F1-score, serta analisis interpretabilitas melalui feature importance dan SHAP. Hasil menunjukkan Random Forest dan XGBoost mencapai performa sempurna (100%), sementara model lain di atas 96%, dengan water_level_cm sebagai fitur dominan (>55-78%). Analisis SHAP mengonfirmasi konsistensi logis model. Kontribusi utama adalah dataset IoT realistis untuk skenario tandon air, evaluasi komparatif model, dan interpretabilitas yang mendukung SDGs 6 dan 9, memungkinkan implementasi otomasi efisien di konteks tropis Indonesia.