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EMPOWERING STRAWBERRY CULTIVATION: HARNESSING THE POTENTIAL OF IOT-BASED TECHNOLOGY IN SMART FARMING Kartika Sari; Rahmi Hidayati; Irma Nirmala; Uray Ristian
JITK (Jurnal Ilmu Pengetahuan dan Teknologi Komputer) Vol. 10 No. 1 (2024): JITK Issue August 2024
Publisher : LPPM Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/jitk.v10i1.4162

Abstract

Agro-tourism is a form of tourism that uses agricultural land or related facilities to attract tourists. One popular agro-tourism site in Rasau Jaya Tiga is the Inspirasi Strawberry Park. Until now, the manual watering has been a common practice for strawberry plants. The Problem in watering strawberry plants manually is that inconsistent watering schedules often lead to overwatering or underwatering, affecting plant health and yield. Therefore, there is a necessity for an automated system to ensure precise and consistent watering, optimizing plant growth, water efficiency, and overall crop quality. By developing an Internet of Things (IoT) integrated irrigation system for strawberry plants, strawberry plants can be watered automatically and controlled through the Internet or mobile devices, using soil moisture sensors, air temperature, and intelligent decision-making. The results of this study indicate that the automatic watering system is able to accurately collect real-time data on temperature, humidity, time, and date of data collection. Additionally, the automatic scheduling system for watering plants and lighting system can operate as intended. With the implementation of an IoT-based automatic irrigation system for strawberry cultivation, labor costs are reduced, and crop yields are increased, contributing to enhanced agricultural productivity and economic sustainability.
SISTEM NAVIGASI OTONOM ROBOT MOBIL BERBASIS ROS PADA ROBOT PENGGERAK DIFERENSIAL Nirmala, Irma; Hidayati, Rahmi
INFOTECH journal Vol. 10 No. 2 (2024)
Publisher : Universitas Majalengka

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31949/infotech.v10i2.11219

Abstract

Penelitian ini mengembangkan simulasi navigasi otonom pada TurtleBot3 menggunakan Robot Operating System (ROS) dan Gazebo. Dua skenario diuji: lingkungan tanpa hambatan dan dengan hambatan. Algoritma SLAM digunakan untuk pemetaan lingkungan, sedangkan AMCL digunakan untuk melokalisasi posisi robot secara dinamis. Hasilnya menunjukkan bahwa TurtleBot3 dapat bernavigasi dengan baik, mendeteksi hambatan, serta merencanakan jalur secara efisien. Namun, beberapa kegagalan terjadi di area sempit, yang mengakibatkan robot terjebak. Untuk mengatasi masalah ini, dilakukan penyesuaian pada parameter kecepatan dan perencanaan jalur lokal, yang terbukti meningkatkan kinerja robot. Simulasi ini menunjukkan potensi besar penggunaan teknologi robot mobile dalam berbagai sektor, seperti industri dan layanan, dengan efisiensi yang lebih tinggi dan risiko yang lebih rendah dibandingkan pengujian fisik.
Implementasi metode radial basis function untuk kendali lampu berdasarkan kebiasaan penghuni rumah Andreni, Gracella; Nirmala, Irma; Hidayati, Rahmi
JITEL (Jurnal Ilmiah Telekomunikasi, Elektronika, dan Listrik Tenaga) Vol. 4 No. 1: March 2024
Publisher : Jurusan Teknik Elektro, Politeknik Negeri Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35313/jitel.v4.i1.2024.19-32

Abstract

Lampu merupakan sumber cahaya yang sangat penting sebagai pengganti matahari. Saat ini, pengguna harus menekan tombol ON/OFF pada sakelar untuk mengendalikan lampu secara manual. Dikarenakan berbagai macam kegiatan yang dimiliki oleh pengguna, mengakibatkan pengguna lupa mematikan lampu saat meninggalkan rumah sehingga kendali secara manual ini seringkali menjadi tidak efisien. Otomatisasi menjadi salah satu solusi untuk dapat memberikan pencahayaan otomatis tanpa perlu menghidupkan dan mematikan lampu secara manual. Kendali otomatis berdasarkan kebiasaan menjadi solusi untuk dapat memberikan kemudahan dan kenyamanan dengan mengenali kebiasaan pengguna. Pada penelitian ini telah dibangun sebuah sistem kendali lampu berdasarkan kebiasaan penghuni rumah dengan mengimplementasikan metode radial basis function. Data penelitian ini diperoleh dari 6 lampu yang menghasilkan 620 data pelatihan yang dikumpulkan selama 15 hari dan juga menghasilkan 48 data hasil pengujian yang dilakukan selama 2 hari. Jaringan ini terdiri dari 1 neuron input layer, 6 neuron output layer, dan variasi jumlah neuron hidden layer. Berdasarkan pengamatan jumlah neuron hidden layer, semakin banyak neuron hidden layer maka tingkat akurasi cenderung semakin tinggi dan waktu pelatihan cenderung semakin lama. Hasil dari implementasi dengan menggunakan 30 neuron hidden layer, sistem menunjukkan keberhasilan pada pengujian dengan mencapai precision sebesar 98,413%, recall sebesar 95,384%, dan akurasi sebesar 97,222%.
SISTEM PEMANTAUAN KUALITAS UDARA SECARA REAL-TIME MENGGUNAKAN ESP32 DAN TEKNOLOGI IOT Hidayati, Rahmi
Djtechno: Jurnal Teknologi Informasi Vol 5, No 2 (2024): Agustus
Publisher : Universitas Dharmawangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46576/djtechno.v5i2.4619

Abstract

Air quality is the level of cleanliness or air pollution in a certain area. Poor air quality hurts human health and the environment. One of the negative impacts of air quality is caused by forest burning, which causes haze. To overcome this problem, we can use Internet of Things (IoT) technology by building an air quality monitoring system. This research aims to provide air quality information to users by accessing a website that will display real-time data. This system can be utilized by the community to find out the air quality around their residence. The research method uses a waterfall model, which includes requirements analysis, system design, implementation, and testing. The data used is air quality data in Pontianak City, including temperature, humidity, CO, CO2, O2 and dust. The test results for 18 days showed normal values for temperature, humidity, and CO2, while the dust and CO2 sensors showed an increase in value with different category levels, with the lowest value of the dust sensor being 21 µg/m3 and the highest value being 497 µg/m3, while the CO2 value ranged from 433 ppm to 5441 ppm.
SISTEM PENYELEKSIAN KESEGARAN IKAN OTOMATIS BERBASIS ARDUINO UNO Herawati, Yunita; Nirmala, Irma; Hidayati, Rahmi
JURNAL TEKNOLOGI INFORMASI DAN KOMUNIKASI Vol 15 No 2 (2024): September
Publisher : UNIVERSITAS STEKOM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/jtikp.v15i2.881

Abstract

Fish is one of the foods that contain protein and has a high nutrient content, including minerals, vitamins, and unsaturated fats. The protein content in fish is relatively high. However, fish also contains adverse effects if it has undergone spoilage. Therefore, it is necessary to select fresh fish and non-fresh fish. Currently, fish freshness selection is still done manually by fishermen. This research builds a system that can identify freshness in mackerel which is expected to be an alternative solution in the process of selecting freshness of fish manually which takes a long time. By utilizing the TCS3200 sensor to identify the color of the fish and MQ135 to detect the smell of ammonia gas in the fish. This system uses Arduino Uno as the controller of the whole system. The results obtained from the selection process are in the form of fresh and not fresh fish that have been separated based on color and odor indicators, the data will be displayed on the LCD in the form of the accumulated weight of each fish that has been selected. The results of 30 times testing the entire system as much as 30 data obtained an accuracy value of 86.7%.
SISTEM PEMANTAUAN DAN KENDALI KUALITAS AIR BERBASIS ARDUINO CLOUD Hidayati, Rahmi; Ikhsan, Afif Muhammad; Nirmala, Irma
JURNAL TEKNOLOGI INFORMASI DAN KOMUNIKASI Vol 15 No 2 (2024): September
Publisher : UNIVERSITAS STEKOM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/jtikp.v15i2.885

Abstract

Fish farmers often face the problem of difficulty monitoring water quality from time to time. One method that can make it easier for fish farmers is to develop a system using the forward chaining method. This research aims to make it easier for fish farmers to monitor and control water quality automatically. This system can monitor and control automatically based on facts collected. Things to pay attention to in the system are the suitability level of temperature, pH, and turbidity in the water. The monitoring and control system using the forward chaining method functions 100% by the rules that have been fully implemented
INTEGRASI TEKNOLOGI BIOMETRI, RFID DAN GPS PADA SISTEM KEAMANAN KOPER PINTAR Aji, Maulana Setia; Hidayati, Rahmi; Sari, Kartika
Jurnal Teknologi dan Sistem Tertanam Vol 5, No 2 (2024): Vol 5 No 02, Agustus 2024
Publisher : Universitas Teknokrat Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33365/jtst.v5i2.4512

Abstract

Eng:Luggage is a storage medium used to carry important items. Generally, the suitcase locking system uses a PIN password as security which is less secure because it is easier to penetrate. This research builds a suitcase security system with RFID and fingerprint sensors that aims to protect and improve security. RFID is a contactless card technology that contains a chip with a unique UID data code that is difficult to duplicate. Fingerprint biometry is a security technology using identity identification and has unique properties because it will not be the same as other people. The location of the suitcase can be seen with Ublox Neo 6m GPS via Telegram bot, as well as the additional security of a warning notification will be active when the RFID sensor detects an unregistered card. Based on the tests carried out, the RFID sensor and fingerprint can work with a minimal error rate and a time delay of 1.21 seconds is obtained for the fingerprint test. The warning system against unregistered RFID access attempts obtained a time delay of 7.63 seconds. GPS tracking gets an accuracy level in providing information on the location of the suitcase with an average distance difference from the original location of 1.9 meters.ind:Koper adalah suatu media penyimpanan barang yang digunakan untuk membawa barang-barang penting. Umumnya sistem penguncian koper menggunakan sandi PIN sebagai pengamanannya yang kurang aman dikarenakan lebih mudah ditembus. Penelitian ini membangun sebuah sistem keamanan koper dengan sensor RFID dan fingerprint yang bertujuan untuk melindungi dan meningkatkan keamanan. RFID adalah teknologi kartu tanpa kontak yang terdapat chip dengan UID kode data unik yang sulit untuk digandakan. Biometri sidik jari merupakan teknologi keamanan menggunakan identifikasi identitas dan memiliki sifat unik karena tidak akan sama dengan orang lain. Lokasi koper dapat dilihat keberadaannya dengan GPS Ublox Neo 6m melalui bot Telegram, serta keamanan tambahan notifikasi peringatan akan aktif ketika sensor RFID mendeteksi kartu yang tidak terdaftar. Berdasarkan pengujian yang dilakukan sensor RFID dan fingerprint dapat bekerja dengan tingkat error minim dan diperoleh delay waktu 1,21 detik untuk pengujian fingerprint. Sistem peringatan terhadap upaya akses RFID tidak terdaftar memperoleh delay waktu 7,86 detik. GPS tracking mendapatkan tingkat akurasi dalam memberikan informasi lokasi keberadaan koper dengan rata–rata selisih jarak dari lokasi aslinya sejauh 1,9 meter.
Utilization of The Internet as an Educational Tool in the Punggur Kecil Village: Pemanfaatan Internet Sebagai Sarana Edukasi Di Desa Punggur Kecil Hasfani, Hirzen; Irma, Irma Nirmala; Rahmi, Rahmi Hidayati; Suhardi, Suhardi
CONSEN: Indonesian Journal of Community Services and Engagement Vol. 4 No. 2 (2024): Consen: Indonesian Journal of Community Services and Engagement
Publisher : Institut Riset dan Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57152/consen.v4i2.1498

Abstract

Internet, as a global computer network, plays a crucial role in connecting local and regional networks worldwide. This network offers various functions, including communication, information access, e-commerce, entertainment, and education. In Punggur Kecil Village, Kubu Raya Regency, West Kalimantan Province, the implementation of the internet has provided significant benefits such as improved information access, new business opportunities, expanded social connections, and a learning resource for the village community. Education is a fundamental pillar in building an advanced and educated village, as it enhances the skills and knowledge of the residents. However, most villagers still primarily use the internet for entertainment. To optimize the use of the internet as an educational medium, training and outreach are effective strategies. One proposed approach is video creation training using the CapCut application, aimed at improving the digital skills of the villagers. This training is expected to help them utilize the internet more productively, enrich their knowledge, and broaden their insights into the potential of digital technology.
Sistem Pemantauan dan Klasifikasi Kondisi Lampu dengan Metode Naïve Bayes Hidayati, Rahmi; Nirmala, Irma; Suhardi, Suhardi
Techno.Com Vol. 23 No. 1 (2024): Februari 2024
Publisher : LPPM Universitas Dian Nuswantoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62411/tc.v23i1.9680

Abstract

Smarthome adalah sebuah sistem yang telah direncanakan dan dikembangkan dengan tujuan menyederhanakan beragam proses yang terjadi di dalam rumah. Dalam konteks ini, salah satu aspek utama yang diterapkan di rumah pintar adalah pemantauan pencahayaan ruangan. Pencahayaan merupakan faktor kunci dalam kenyamanan dan fungsionalitas kehidupan sehari-hari. Oleh karena itu, peran lampu dalam lingkungan rumah sangat dibutuhkan. Seringkali penghuni rumah cenderung lalai dalam mematikan lampu ketika tidak digunakan, hal ini dapat menyebabkan peningkatan konsumsi energi yang tidak efisien dan pemborosan sumber daya. Untuk mengatasi masalah ini, dibutuhkan teknologi yang mampu memantau dan mengendalikan pencahayaan secara otomatis. Pada penelitian ini, sebuah sistem pemantauan dan klasifikasi kondisi lampu dikembangkan dengan menerapkan metode naïve bayes. Dataset yang digunakan dalam penelitian ini terdiri dari 672 data latih dan 168 data uji. Pengujian dilakukan, dengan confusionmatrix, menghasilkan tingkat accuracy sebesar 98.71%, precision sebesar 98.16%, recall sebesar 98.42%, dan F-1 score sevesar 98.29%. Hasil penelitian ini menunjukkan bahwa metode naïve bayes sangat efektif dalam sistem pemantauan dan klasifikasi kondisi lampu lampu pada ruangan.
Implementasi Support Vector Machine untuk Kendali Lampu Ruangan Adam, Chairul; Hidayati, Rahmi; Suhardi, Suhardi
Jurnal Sistem Komputer dan Informatika (JSON) Vol 5, No 3 (2024): Maret 2024
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/json.v5i3.6964

Abstract

The use of lights in daily activities is a necessity for everyone. Lights are useful as lighting when the room has minimal light, so lights are needed in the room in the house. If there are many rooms in a house, there are also many lights used. Often users forget to turn on and off the lights in each room if done manually. An automatic control is needed to make it easier for users to turn on and off lights according to user habits. Support Vector Machine is used in this in this study to classify the condition of lights based on user habits when turning on and off the lights. User habit data used for 15 days with a total of 620 data. Testing was carried out for 3 days with a total of 72 data. The results of system testing obtained the accuracy value of kitchen lights by 87.50%, accuracy of main room lights by 95.83%, accuracy of second room lights by 91.67%, accuracy of living room lights by 95.83%, accuracy of terrace lights by 95.83%, and accuracy of toilet lights by 94.44%.