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All Journal PROCEEDING IC-ITECHS 2014 JOIN (Jurnal Online Informatika) JOIV : International Journal on Informatics Visualization Jurnal Informatika Universitas Pamulang Applied Information System and Management JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Jurnal Teknik Informatika (JUTIF) Jurnal Teknologi dan Sistem Tertanam Journal Social Science And Technology For Community Service Journal of Soft Computing Exploration Jurnal Pendidikan dan Teknologi Indonesia Jurnal Telematics and Information Technology (TELEFORTECH) Jurnal Locus Penelitian dan Pengabdian Malcom: Indonesian Journal of Machine Learning and Computer Science Jurnal Informatika: Jurnal Pengembangan IT
Styawati, Styawati
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Aerospace Engineering Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Languange, Linguistic, Communication & Media Mathematics

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Duck Egg Hatching Incubator Technology Based On Internet of Things Kurniawan, Medy Dwi; Styawati, Styawati; Hepri, Alfian
IC-ITECHS Vol 5 No 1 (2024): IC-ITECHS
Publisher : LPPM STIKI Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/ic-itechs.v5i1.1592

Abstract

The egg incubator was originally a simple tool using a lamp to produce heat without other supporting tools, So the incubation process has a big influence on traditional egg hatching through the mother duck incubating the eggs. However, temperature control at the time Incubation of eggs by the parent certainly has certain limitations due to the parent which is difficult to control in order to incubate it which ultimately causes the egg to suffer hatch failure. In the process of hatching duck eggs, you must pay attention to temperature and humidity and egg rotation which must be maintained regularly, is necessary continuous supervision and monitoring so that the eggs can hatch well. By utilizing applicable Internet of Things technology in the field of animal husbandry, it is a solution to monitor the condition of hatching duck eggs automatic and real-time, so it can help farmers in monitoring conditions such as temperature and humidity as well as the condition of the eggs in the hatching room. So A research was conducted entitled "Duck Egg Hatching Incubator Technology Internet of Things” was carried out with the aim of making things easier for breeders monitor temperature and humidity and monitor conditions inside real time drip space.
Implementation of IoT Technology for Optimization Shrimp Feeding in SMKN2 Kalianda Shrimp Ponds Febriyansyah, Akhmad Febriyo; Styawati, Styawati
IC-ITECHS Vol 5 No 1 (2024): IC-ITECHS
Publisher : LPPM STIKI Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/ic-itechs.v5i1.1593

Abstract

Shrimp farming in Indonesia, particularly at SMKN 2 Kalianda, faces inefficiencies in manual feeding methods, leading to wasted feed and suboptimal shrimp growth. This research proposes an IoT-based automatic shrimp feeding system designed to address these issues by automating the feeding process and integrating real-time water temperature monitoring. The system utilizes the NodeMCU ESP8266 microcontroller, servo motors for feed distribution, and a DS18B20 sensor for monitoring water temperature. Data is communicated via HTTP to a web application, providing real-time monitoring capabilities. The system was successfully tested at SMKN 2 Kalianda's shrimp pond, demonstrating efficient feed distribution, with distances of up to 1.5 meters. It also ensured timely and accurate feeding, reduced labor costs, and minimized feed wastage. Additionally, the system can be further enhanced by integrating data analytics and machine learning to optimize feeding schedules and water quality management. These advancements promise to improve shrimp farming efficiency, reduce human error, and contribute to sustainable aquaculture practices.
Iot-Based Iot-Based Smart Controller (Sponcer) To Optimize Freshwater Fish Production In Pagelaran, Pringsewu, Lampung Anggita, Rizki Devi; Styawati, Styawati
IC-ITECHS Vol 5 No 1 (2024): IC-ITECHS
Publisher : LPPM STIKI Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/ic-itechs.v5i1.1594

Abstract

An Internet of Things (IoT) based control system for optimal fish production in Pagelaran, Pringsewu, Lampung is a modern fish farming solution that uses IoT technology to automatically monitor and assess various fish environmental parameters. The system is equipped with various sensors that can measure critical parameters such as water level, pH, turbidity, and water temperature. This data is sent in real-time to a web-based application, allowing users to continuously monitor conditions remotely through devices connected to the internet. This helps maintain ideal fish environmental conditions for growth, reduces the risk of disease, and increases productivity. One of the striking features of this system is its automatic feed regulation capacity. With this system, feed is provided timely and accurately according to the needs of the fish, which is very important to ensure optimal growth. The purpose of developing an IoT-based system in Pagelaran, Pringsewu, Lampung is to increase productivity and fish production in the area. It is expected that with more careful monitoring and wiser feed handling, fish production can be increased in terms of both quantity and quality. In short, IoT-based system controllers not only improve operational efficiency but also reduce environmental damage. Farmers can reduce excessive resource use and lower operational costs by minimizing manual intervention and using technology for smarter pond management. It is expected that this system will become a model for more modern, efficient, and environmentally friendly fish farming practices, not only in Pagelaran, Pringsewu, Lampung but also in other areas.
Drip Irrigation Technology for Watermelon Crops with IoT-Based Solar Panels for Efficient Use of Energy Resources Azahra, Maulida; Styawati, Styawati
IC-ITECHS Vol 5 No 1 (2024): IC-ITECHS
Publisher : LPPM STIKI Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/ic-itechs.v5i1.1597

Abstract

Water scarcity and energy inefficiency are major challenges in modern agriculture, particularly for water-intensive crops like watermelon. This study aims to develop a sustainable solution by integrating drip irrigation technology with IoT-based solar panels to optimize water and energy use. The purpose of this research is to design and test a system that uses renewable solar energy and IoT sensors to monitor soil moisture and control irrigation automatically, providing an efficient and environmentally friendly solution for watermelon farming. The methodology involves the development of a prototype system powered by solar panels and equipped with IoT sensors for real-time data collection and system management. The findings demonstrate that the solar-powered IoT drip irrigation system significantly reduces water consumption and energy costs compared to conventional irrigation methods, ensuring efficient water use while operating off-grid. The practical implications of this study suggest that this integrated system can be scaled for large-scale farming operations, improving crop yields and contributing to sustainable agricultural practices. The results highlight the potential of combining renewable energy, IoT, and modern irrigation techniques as a viable solution to address global challenges of water conservation, energy efficiency, and sustainable farming.
Implementation of Fish and Plant Nutrition Technology On Aquaponic Systems Khoiri, Rizky Dafa; Styawati, Styawati; Afredha, Arya
IC-ITECHS Vol 5 No 1 (2024): IC-ITECHS
Publisher : LPPM STIKI Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/ic-itechs.v5i1.1684

Abstract

Catfish farming often faces challenges due to high stress levels in fish caused by instability in water pH and temperature, which disrupt metabolism, reduce appetite, and harm their health. This can lead to nutrient deficiencies for plants in aquaponic systems, causing ecological imbalances. Many farmers still rely on instinct to monitor pond conditions, making it difficult to detect changes in pH, temperature, and nutrient levels promptly, resulting in suboptimal water conditions and high fish mortality rates. To address this, a device equipped with sensors for real-time monitoring of pH, water temperature, and nutrient levels is necessary, helping farmers maintain ecological balance and reduce fish mortality. This research aims to ease catfish farming by integrating an automatic feeding system controlled by a servo and RTC and monitoring critical parameters like pH, temperature, and plant color through Thingspeak. Using the prototype method, the system was developed with ESP32, Arduino Microcontroller, pH sensor, DS18B20 temperature sensor, TCS3200 color sensor, buzzer, and servo. The aquaponics system design included scheduled nutrient supply for fish feed and an accurate feeding process activated at 12:00 PM, running the servo for 2 seconds with a buzzer alert. Testing confirmed the sensors’ ability to transmit data to Thingspeak and display it via LCD. However, the temperature sensor requires periodic calibration, as weather conditions significantly influence readings. During the rainy season, the lowest temperature recorded was 27.10°C, while the highest temperature during summer reached 29.32°C, demonstrating the system’s adaptability across seasons.
IoT-based implementation of rickshaws for real-time monitoring and measuring the weight of cattle Satrya, Alan; Styawati, Styawati; Ismail, Izudin; Alim, Syahirul
Journal of Soft Computing Exploration Vol. 5 No. 1 (2024): March 2024
Publisher : SHM Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52465/joscex.v5i1.265

Abstract

In the era of modern agriculture that is increasingly dependent on technology, livestock management has become crucial to increasing efficiency and productivity. An important aspect in livestock management is providing appropriate feed to fattening cattle. Manual monitoring of feed weight is often complex and prone to errors, which can have a significant impact on operational efficiency and result in losses. Accuracy in monitoring feed weight is the key to maintaining optimal health and growth of cattle. Internet of Things (IoT) technology is emerging as an innovative solution to overcome these challenges. The use of Angkong load cells, a tool connected to IoT, allows automatic monitoring of feed weight with a high level of precision. The test results show an error rate close to zero, with a Mean Absolute Percentage Error (MAPE) of around 0.158%, making the Angkong load cell a reliable tool. With this capability, farmers can monitor cow feed weight in real-time with minimal error rates. This not only increases the operational efficiency of the farm but also optimizes the health and growth of livestock more efficiently, having a positive impact on overall farm productivity. The aim of this research is to monitor the amount of feed given to cows with an adequate level of accuracy. Rickshaw load cells can be well suited for this use due to their ability to handle relatively large weights with fairly good accuracy, but do not necessarily have the level of precision required in laboratory measurements or the pharmaceutical industry.
Automation of aquaponics systems through integration of RTC modules, turbidity sensors, and water level sensors Jaya, Dicky Suman; Styawati, Styawati; Syahirul, Alim
Journal of Soft Computing Exploration Vol. 4 No. 4 (2023): December 2023
Publisher : SHM Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52465/joscex.v4i4.267

Abstract

Automation of aquaponics systems is key in increasing agricultural efficiency and productivity. A system considered an innovative method of sustainable food production that combines fish farming with agriculture simultaneously. The problem that often occurs is crop failure, due to the lack of technology that can monitor automatically, so that farmers experience losses as a result of fish and plant growth does not thrive, and problems in urban areas that require land for planting and fish farming due to limited land in urban areas. There is another problem with the lack of accurate timing and monitoring of water quality in aquaponics. The purpose of this research is to implement an IoT system in aquaponics that is connected to various sensors, such as Turbidity sensors, Water Level sensors, and RTC Modules. To monitor water quality conditions in tilapia habitat and accurate time measurement to provide fish feed automatically so as to improve fish health and growth and support better and consistent yields. The findings of this study show that the implementation of IoT systems in aquaponics can overcome environmental monitoring and control problems effectively. Using the integration of RTC modules, turbidity sensors, and water level sensors effectively improves the automation of aquaponics systems. This optimized system provides better monitoring of environmental conditions, reduces reliance on manual maintenance, and increases overall productivity. It helps increase tilapia growth and plant productivity in a modern aquaponics system. This research demonstrates the great potential of IoT technology in increasing efficiency and productivity in aquaponics aquaculture, so that it can push the fisheries sector towards a more advanced and competitive direction. So the main conclusion is expected that this automation can increase the productivity of ecosystem balance, and can face food security challenges and move towards more environmentally friendly solutions, towards effective management in the future.
Implementasi Lowk-Rank Adaptation of Large Langauage Model (LoRA) Untuk Effisiensi Large Language Model Mahendra, Anton; Styawati, Styawati
JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Vol 9, No 4 (2024)
Publisher : STKIP PGRI Tulungagung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29100/jipi.v9i4.5519

Abstract

Model transformator seperti LlaMA 2 sangat kuat untuk memproses berbagai tugas bahasa alami, namun memiliki kekuatan pemrosesan yang signifikan dan keterbatasan memori yang membuatnya sulit untuk diimplementasikan. Tantangan terbesarnya terletak pada konsumsi sumber daya penyimpanan yang besar dan kebutuhan daya komputasi dalam jumlah besar. Untuk mengatasi permasalahan tersebut, dikembangkan solusi berupa implementasi LoRA (Low Rank Adapter). LoRA, khususnya di LlaMA 2, menggunakan pendekatan adaptif dalam mengompresi model Transformer menggunakan adaptor berdaya rendah. Penerapan LoRA pada model ini mengurangi jumlah operasi floating-point, sehingga mempercepat proses pelatihan dan inferensi.  Secara signifikan mengurangi  konsumsi daya dan penggunaan memori. Tujuan utama penerapan LoRA di LlaMA 2 adalah untuk mengoptimalkan efisiensi model, dengan fokus pada pengurangan operasi floating-point dan meningkatkan penggunaan memori GPU.
Pelatihan Pembuatan Pupuk Organik dari Feses Sapi di PT Sanjaya Farm Bandar Lampung Styawati, Styawati; Samsugi, Selamet; Indraningtyas, Lathifa; Agustian, Rezi Dwi; Saputra, Dian Tri; Asyad, Chafidz
Journal of Social Sciences and Technology for Community Service (JSSTCS) Vol 5, No 2 (2024): Volume 5, Nomor 2, September 2024
Publisher : Universitas Teknokrat Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33365/jsstcs.v5i2.4710

Abstract

Penggunaan pupuk kimia secara berlebihan dalam sektor pertanian telah menyebabkan masalah lingkungan seperti penurunan kesuburan tanah dan pencemaran air tanah. Pupuk kimia, yang diproduksi melalui proses industri, menggabungkan unsur hara seperti nitrogen, fosfor, dan kalium untuk kebutuhan tanaman. Sementara itu, limbah peternakan, terutama feses sapi, sering tidak dimanfaatkan dengan optimal dan dapat menjadi sumber polusi. PT Sanjaya Farm, sebuah perusahaan peternakan di Bandar Lampung, telah memanfaatkan feses sapi sebagai bahan dasar pembuatan pupuk organik, meskipun masih memerlukan peningkatan keterampilan bagi pekerja dan anggota kelompok peternak Sepakat Makmur Bersama dalam pengolahan limbah tersebut. Untuk itu, tim PKM dari Universitas Teknokrat Indonesia bekerja sama dengan dosen Universitas Lampung mengadakan pelatihan pembuatan pupuk organik dari feses sapi di PT Sanjaya Farm pada 13 Juli 2024. Pelatihan ini bertujuan meningkatkan pengetahuan dan keterampilan karyawan PT Sanjaya Farm dan kelompok peternak Sepakat Makmur Bersama dalam mengelola limbah peternakan secara efektif dan ramah lingkungan. Pelatihan yang dilakukan berhasil meningkatkan pemahaman dan keterampilan peserta terkait pembuatan pupuk organik dari feses sapi. Hal ini dibuktikan dengan hasil kuesioner yang diisi oleh peserta pelatihan sebelum pelaksanaan pelatihan dan sesudah pelaksanaan pelatihan. Berdasarkan hasil kuesioner tersebut, terdapat peningkatan pengetahuan sebesar 45,71%, hal ini menunjukkan bahwa pelatihan yang dilakukan berhasil meningkatkan pemahaman peserta tentang pembuatan pupuk organik dari feses sapi.
Teknologi Pemberian Nutrisi Ikan Lele dan Tanaman Kangkung pada Sistem Aquaponik Menggunakan Teknologi IoT Aldo Pramana; Rizki Dalimunthe, Ernando; Styawati, Styawati
Jurnal Pendidikan dan Teknologi Indonesia Vol 5 No 3 (2025): JPTI - Maret 2025
Publisher : CV Infinite Corporation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jpti.708

Abstract

Dalam budidaya ikan lele, masalah utama dalam sistem akuaponik adalah tingginya tingkat stres akibat ketidakstabilan pH dan suhu air. Kondisi ini mengganggu metabolisme ikan, menurunkan nafsu makan, dan berdampak negatif pada kesehatan ikan serta keseimbangan nutrisi tanaman, yang berujung pada ketidakseimbangan ekologi. Saat ini, banyak petani hanya mengandalkan firasat dalam memantau kondisi kolam, sehingga sulit mendeteksi perubahan pH, suhu, dan nutrisi dengan cepat. Penelitian ini bertujuan untuk mengembangkan sistem pemantauan kualitas air otomatis berbasis Internet of Things (IoT) menggunakan platform ThingSpeak untuk meningkatkan efisiensi dan keberlanjutan akuaponik. Sistem ini juga mencakup pemberian pakan otomatis yang dikendalikan oleh servo dan RTC untuk mengurangi beban kerja petani. Metode yang digunakan adalah metode prototipe, yang mencakup perancangan, implementasi, dan pengujian sistem. Alat yang digunakan terdiri dari ESP32, Arduino, sensor pH, sensor warna TCS3200, sensor suhu DS18B20, buzzer, dan servo. Pengujian dilakukan dengan mengukur akurasi sensor dalam membaca parameter air dan membandingkannya dengan alat standar. Hasil uji coba menunjukkan bahwa ketiga sensor berhasil mengirim data ke ThingSpeak dan menampilkannya pada LCD. Suhu terendah tercatat 27,10°C pada musim hujan dan tertinggi 29,32°C pada musim panas, menegaskan pentingnya pemantauan suhu kolam secara berkelanjutan. Penelitian ini berkontribusi dalam meningkatkan efisiensi budidaya akuaponik dengan menyediakan sistem pemantauan otomatis yang lebih akurat dan praktis bagi petani.  
Co-Authors Adrian, Qodhli Jafar Afredha, Arya Agustian, Rezi Dwi Al Faroqi, M. Ibnu Aldo Pramana Amanda, Feby Andi Nurkholis Andika, Rio Andrey Ferriyan, Andrey Anggita, Rizki Devi Apriyadi, Chandra Ardani, Ravi Ari Tri Arfat, Muhammad Fadilah Asyad, Chafidz Azahra, Maulida Bagas Setiawan, Bagas deviana, lyla putri Dewa, Ananda Asmoro Edistira, Khusnul Febriyansyah, Akhmad Febriyo Hepri, Alfian I Komang Arya Ganda Wiguna Ida Bagus Gede Sarasvananda Indra Kurniawan Indraningtyas, Lathifa Ismail, Izudin Jaya, Dicky Suman Jupriyadi, Jupriyadi Khoiri, Rizky Dafa Kurniawan, Medy Dwi Kuswara, Muhammad Shidiq Mahendra, Anton Pranata, Rangga Prastowo, Agung Tri Pratama, Ariski Qadhli Jafar Adrian Rahayu, Usman Puji Rifai, Jefri Andri Rizki Dalimunthe, Ernando S. Samsugi Saputra, Dian Tri Saputra, Hendi Satrya, Alan Suhartanto, Alvi Syahirul Alim Syahirul, Alim Wijaya, Rio Yudha, Sandy Yulistiani Yulistiani, Yulistiani Yuri Rahmanto