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Teknologi Deteksi Dini Banjir Daerah Aliran Sungai menggunakan Heltec Wifi LoRa 32 V2 Amanda, Feby; Samsugi, Selamet; Styawati, Styawati; Alim, Syahirul
Jurnal Informatika: Jurnal Pengembangan IT Vol 9, No 1 (2024)
Publisher : Politeknik Harapan Bersama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30591/jpit.v9i1.5892

Abstract

In Indonesia there are often natural disasters, one of which is flooding. Flooding is a natural disaster that is marked by the overflowing of river water irrigation channels in urban areas, one is the river Irrigation that exists at the Technokrat University of Indonesia. Therefore, the study aims to develop a flood early detection tool using LoRa (Long Range) technology to monitor potential flooding in Kalibalau, Indonesian Technocratic University, Bandar Lampung. The research method involves installing an ultrasonic sensor in the Kalibalau River and connecting it to the Heltec Wifi LoRa 32 V2 microcontroller. Test results show that the LoRa transmitter and receiver operate as planned. This tool does not require an internet connection because it uses the Heltec Wifi LoRa 32 V2. The status of the river is categorized into four: Safe, Alert 1, Alert 2, and Danger, with appropriate warnings. The test showed a delay of 5 seconds on the water height reading. At safe (water height 44 cm), the buzzer does not sound. At morning 1 (water altitude 82 cm), it sounds once with a 1 minute delay. The device has a communication capacity of up to 400 meters. Thus, the tool is effective in monitoring the Kalibalau river and giving early warning of potential floods. This research has contributed to the development of flood monitoring technology to increase public alertness and safety in flood-prone areas
Implementasi Sistem Monitoring Lingkungan Pada Budidaya Tanaman Hidroponik Berbasis IoT Pratama, Ariski; Styawati, Styawati; Samsugi, Selamet; Alim, Syahirul
Jurnal Informatika: Jurnal Pengembangan IT Vol 9, No 1 (2024)
Publisher : Politeknik Harapan Bersama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30591/jpit.v9i1.6649

Abstract

The increase in population and the reduction of agricultural land are major concerns in Indonesia. The country's population rose from 244,016,173 in 2010 to 277,534,122 in 2023, raising food needs. Population growth promotes the use of pesticides to protect agriculture;ntegration of hydroponic automation technology in households with limited land, such as for salad and sawmills, is expected to meet increasing food needs, reduce environmental impact, and improve well-being, in line with the SDGs.  however,excessive use can lead to environmental damage, water pollution, and health risks for humans. In addressing this problem, hydroponic planting media became a potential solution. Hydroponics is the cultivation of plants without soil, using a nutrient solution. This technology supports the Sustainable Development Goals (SDGs) with clean and sustainable crop growth. Integration of hydroponic automation technology for households with limited land, such as for salad and sawmills, is expected to meet increasing food needs, reduce environmental impact, and improve well-being, in line with the SDGs. Thus, hydroponics can be an effective solution in addressing the agricultural challenges facing Indonesia
Implementasi Elliptic Curve Digital Signature Algorithm Untuk Smart Gerobak Sorong Dalam Monitoring Pakan Ternak Alvi Suhartanto; Heni Sulistiani; Selamet Samsugi; Reflan Nuari; Izudin Ismail
SMATIKA JURNAL : STIKI Informatika Jurnal Vol 14 No 01 (2024): SMATIKA Jurnal : STIKI Informatika Jurnal
Publisher : LPPM UBHINUS MALANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/smatika.v14i01.1231

Abstract

The Internet of Things (IoT) implementation in the livestock sector includes the use of sensors, software and internet-based platforms to monitor, manage and optimize in real-time. This research is intended to solve problems at PT. Indo Prima Beef noted that the use of animal feed is still based on estimates, resulting in the calculation of the selling price of cattle being inaccurate and potentially detrimental. Manual recording which is prone to errors and less efficient causes uncertainty in feed management and costs. Therefore, this research develops an IoT-based tool that is integrated in a wheelbarrow. This tool is capable of reading the results of weighing animal feed and storing the data in real-time in a database connected to web monitoring. Apart from that, the monitoring application can display recap results of cow feed weights, there are also features that support optimal use of the Smart Gerobak Sorong. The method used in this research is applying the Elliptic Curve Digital Signature Algorithm as a safeguard for data communication between IoT and the database. Based on the test results on a cow's feed weight of 10.6 kg, a difference value of 0.11 kg was obtained. This means that the average error value is 0.01%. So, it can be concluded that the loadcell sensor can read mass data for weighing cattle feed with the same load. With this tool, PT. Indo Prima Beef can increase the efficiency of feed use, optimize business income, and provide innovative and effective solutions in overall animal feed management.
Pelatihan Pembuatan Teknologi Irigasi Tetes berbasis IoT di SMK AL HUDA Jati Agung Styawati Styawati; Selamet Samsugi; Jefri Andri Rifai; Rizki Devi Anggita; Akhmad Febriyo Febriyansyah; Imelda Dwi Mariska; Moris Cahyadi
Dharma Nusantara: Jurnal Ilmiah Pemberdayaan dan Pengabdian kepada Masyarakat Vol. 2 No. 1 (2024): Dharma Nusantara: Jurnal Ilmiah Pemberdayaan dan Pengabdian kepada Masyarakat
Publisher : LPPM Universitas Bhinneka Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/dharma.v2i1.1357

Abstract

SMK Al HUDA Jati Agung Lampung Selatan memiliki jurusan yang mempelajari Internet of Things (IoT) yaitu jurusan Teknik Komputer dan Jaringan (TKJ). Pemanfaatan teknologi dapat berperan dalam mendukung kecerdasan buatan yang menggunakan jaringan sebagai perantaranya. Pelatihan pembuatan teknologi irigasi tetes ini meningkatkan pengetahuan terkait penerapan IoT kepada siswa siswi SMK AL HUDA Jati Agung. Hal ini dibuktikan dari hasil kuesioner yang dilakukan sebelum kegiatan dan setelah kegiatan. Hasil kuesioner menunjukan bahwa terjadi peningkatan keterampilan mitra dalam pemahaman pembuatan teknologi irigasi tetes berbasis IoT sebanyak 44.59%.
Co-Authors Achmad Irvandi Yusuf Adam Saputra Ade Setiawan Ade Surahman Ady Candra Nugroho Ady Chandra Agum Anantama Agustian, Rezi Dwi Ajeng Savitri Puspaningrum Akhmad Febriyo Febriyansyah Aldi Bagus Prasetyo Alita, Debby Alvi Suhartanto Alvi Suhartanto Amalia, Zahrina Amanda, Feby Anang Burlian Andi Nurkholis Anisyah Apriyantina Ardian syah Ardiansyah Ardiansyah Arinda Rifaini Ashabi Tohir Asyad, Chafidz Bagas Setiawan Bagas, Prasetyo Berlintina Permatasari Bima Ghafaral Candra, Arif Mei Chafizd Chafizd Cinthya Bella Damayanti, Damayanti desi damayanti Dewa, Ananda Asmoro Dian Nursintawati Dian Pratiwi Dian Tri Saputra Doni Elvis Silaban Dwi Gema Dyan Kastutara Edistira, Khusnul Eliasta Ketaren Emi Suwarni Erliyan Redy Susanto Erliyan Redy Susanto Euis Amanah Fahri Aulia Hasbi Fandi Dian Nugraha Farli Rossi Feby Amanda Feby Amanda Fenty ariany Fika Trisnawati Harry Anggono Heni Pujiastuti Heni Sulistiani Hilma Putri Fidyandini I Gusti Made Ngurah Desnanjaya Ida Bagus Gede Sarasvananda Imam Ahmad Imelda Dwi Mariska Indraningtyas, Lathifa Izudin Ismail Jaka Persada Sembiring Jefri Andri Rifai Jupriyadi, Jupriyadi Krisna, Anan Lathifah L Lathifah Lathifah Leny Meilisa Lili Andraini Lulud Oktaviani M. Fitratullah mai diana Megawati, Dyah Ayu Meitrinova Y.S Moris Cahyadi Muhamad Taufik Adha Pratama Muhammad Bakri Muhammad Fitratullah Muhammad Irfan Hafidhin Muhammad Randyka Rojat Ndaru Kristiawan Neneng Neneng Neneng, N Nike Kristanti Parjito, Parjito Permata Permata Pindrayana, Kadek Prabowo, Rizky Prasetyawan, Purwono Prasetyo, Bagas Prastowo, Agung Tri Pratama, Ariski Pratama, Edvan Agus Priandika, Adhie Thyo Prio Agung Nugroho Putra, M. Pajar Kharisma Rahmat Dedi Gunawan Reflan Nuari Rendy Pratama Restu Ibrahim Adam Richo Fajar Pratama Ridho, Yusuf Riska Amalia Praptiwi Rizki Devi Anggita Rohmat Indra Borman Ryan Ajie Prasetyo Ryan Dika Pratama Sampurna Dadi Riskiono Saputra, Dian Tri Setiawansyah Setiawansyah Sinta, Ratna Sari Roma Siska Ayu Widiana Siti Suliah Styawati Styawati Styawati, Styawati Suhadi, Miki Suprapto, Galih Naufal Falikh Syahirul Alim Syaiful Ahdan Tiara Azizul Andika Titin Yulianti Tri Widodo Wawan Kurniawan Wibowo Wulan Agustin Yogi Irawan Yuri Rahmanto Yusra Fernando Zainabun Mardiyansyah Zidane, Ahmad Rifqi