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All Journal International Journal of Power Electronics and Drive Systems (IJPEDS) International Journal of Advances in Applied Sciences TELKOMNIKA (Telecommunication Computing Electronics and Control) Jurnal Pengabdian Kepada Masyarakat Sakai Sambayan Jurnal EECCIS Jurnal Informatika dan Teknik Elektro Terapan JURNAL PENGABDIAN KEPADA MASYARAKAT Science and Technology Indonesia Matrix : Jurnal Manajemen Teknologi dan Informatika Jurnal Teknoinfo JCRS (Journal of Community Research and Service) Jurnal Teori dan Aplikasi Fisika Journal of Engineering and Scientific Research (JESR) Journal of Applied Data Sciences TEKTAN Journal of Innovation and Technology Journal of Multidisciplinary Applied Natural Science Prosiding Seminar Nasional Hasil Penelitian Sains, Teknik dan Aplikasi Industri Fakultas Teknik Universitas Lampung Electrician : Jurnal Rekayasa dan Teknologi Elektro Analit: Analytical and Environmental Chemistry SNTE Journal of Digital Market and Digital Currency Nemui Nyimah Analit: Analytical And Environmental Chemistry
Sri Ratna Sulistiyanti
[Scopus ID: 36606902600] Department Of Electrical Engineering Faculty Of Engineering University Of Lampung Jl. Sumantri Brojonegoro 1, Bandar Lampung
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Sistem Akuisisi Data Pemantauan Suhu dan Kadar Keasaman (pH) Lingkungan Perairan dengan Menggunakan Unmanned Surface Vehicle Yudi Eka Putra; Sri Ratna Sulistiyanti; Muhamad Komarudin
Electrician : Jurnal Rekayasa dan Teknologi Elektro Vol. 12 No. 3 (2018)
Publisher : Department of Electrical Engineering, Faculty of Engineering, Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/elc.v12n3.2090

Abstract

Intisari — Air merupakan sumber kehidupan yang sangat penting bagi kehidupan manusia sebagai bahanbaku air minum, keperluan rumah tangga, dan sumber energi pembangkit listrik tenaga air. Kondisi perairansangat dipengaruhi oleh aktifitas manusia. Salah satu dampak negatif dari aktifitas manusia yaitu timbulnyalimbah yang dapat merusak ekosistem perairan, dengan mengetahui kondisi perairan kita dapatmengoptimalkan penggunaaan air dalam kehidupan. Oleh karena itu, diperlukan sistem yang dapat memantaukondisi suhu dan kadar keasaman (pH) perairan secara real-time menggunakan PC dan nirkabel. Sistem inidinamakan sistem akuisisi data yang menggunakan sensor suhu, modul analog pH meter, telemetri, dan USV.Pemeroses data menggunakan Arduino Mega 2560. Media transmisi data nirkabel menggunakan Telemetri Kit433 MHz. Media penampil data menggunakan PC berbasis GUI (Graphical User Interface) dengan perangkatlunak LabVIEW. Dalam menentukan kondisi perairan, dapat dilakukan dengan mengetahui kondisi beberapaparameternya yaitu parameter fisik (suhu) dan parameter kimir (pH). Berdasarkan hal tersebut dilakukanpengukuran nilai suhu dan pH pada perairan. Sistem akuisisi data yang dilengkapi dengan sensor suhu DB10S20, Analog pH meter, Arduino Mega 2560, dan Telemetri Kit 433 Mhz. Sistem ini diletakan pada USV yangtelah diatur untuk bergerak menuju titik waypoint, melakukan pengukuran pada titik waypoint tersebut danmenampilkan data serta menyimpan data dengan data logger. Sensor DB 10S20 dikalibrasi menggunakanFLUKE 62 MAX IR Thermometer dan Analog pH meter menggunakan pH indikator universal. Sistem ini dapatdigunakan selama sumber tegangan mencukupi serta jarak pengiriman data yaitu line of sight ≤ 50 m dandalam bangunan ≤ 15 m. Pemantauan suhu dan kadar keasaman (pH) pada daerah resapan air UniversitasLampung diketahui bahwa setiap kenaikan suhu sebesar 1° Celcius maka terjadi kenaikan pH sebesar 0,09.Kata Kunci — Air, Analog pH Meter, Arduino, DB 10S20, FLUKE 62 MAX IR Thermometer, LabVIEW, pH,Sistem Akuisisi, Suhu, Telemetri, USV,Waypoint.Abstract — Water is one of many important natural resource that human need to consume for many necessitieslike house-need and electricity. But there are some negative impact that produced by human activity that coulddamages the water as important life resource. Yet, by analyzing the water condition, we may optimalize theusage of water. Then, it is necessery to have a proper system which able to supervise the water temperature andacid content (pH) in real-time by using PC and wireless equipment. This system is called by data acqusitionsystem which include the usage of temperature sensor, an analogue modul pH meter, telemetry and USV.Arduino Mega 2560 is chosen as data processor in this research case. Wireless transmission data isacommodated by Telemetry Kit 433 MHz. While data performance media is provided by GUI (Graphical UserInterface) based PC as specified software known as LabVIEW. There are some parameters to be connected tothe water condition, which are physical parameter (temperature) and chemical parameter (pH). Based onmethod above water temperature and pH is measured. Data acquisition system is supported by DB 10S20temperature sensor, pH meter analogue, Arduino Mega 2560 and Telemetry Kit 433 Mhz. This system is placedon USV which systemized to move forward to the waypoint spot, then it start to measure at the waypoint spot,perform and save the data by data logger. DB 10S20 sensor is calibrated by FLUKE 62 MAX IR Thermometerand the pH meter analogue is using pH universal indicator. The system could be occupied as long as the powerresource is able to covered the data delivering in line of sight of ≤ 50 m and ≤ 15 m indoor. Temperaturemonitoring and pH in water absorbtion area at Lampung University is known when every 1° Celcius thetemperature increased then pH increase to be 0,09.Keywords — Acqusition System, Arduino, DB 10S20, FLUKE 62 MAX IR Thermometer, Labview, pH, pH MeterAnalogue, Telemetry, Temperature, USV, Water, Waypoint
Rancang Bangun Perangkat Kendali ROV Berbasis Joypad Dan Aplikasi Pemantauan Kondisi Bawah Air Berbasis Video Streaming Yogi Aldino; Sri Ratna Sulistiyanti; Muhamad Komarudin
Electrician : Jurnal Rekayasa dan Teknologi Elektro Vol. 12 No. 3 (2018)
Publisher : Department of Electrical Engineering, Faculty of Engineering, Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/elc.v12n3.2091

Abstract

Intisari — ROV merupakan sebuah robot penjelajah bawah air yang dikendalikan oleh operatormenggunakan sistem pengendali ROV dengan perangkat remote control. Pada penelitian ini digunakanperangkat remote control berupa Joypad yang telahdiintegrasikan denganJoypad dan mikrokontrolerArduino Pro Mini.ROV dilengkapi dengan Raspberry Pi, kamera, sensor suhu, sensor gyroscope, sensortegangan dan sensor tekanan air untuk mengakuisisi data kondisi bawah air untuk kemudian dikirimkanke laptop operator dan kemudian ditampilkanpada sebuah aplikasi pemantauan berupa GUI (GraphicUser Interface) yang dibangun denganbahasa pemrograman Python 2.7. Hasil pengujian diperolehbahwa GUI dapat memantau kondisi bawah air dengan menampilkan video streaming, data suhu, dankedalaman ROV secara realtime. Perangkat kendali pada ROVmampu mengendalikan laju pergerakanROV untuk turun, naik, belok kanan, belok kiri, maju dan mundur tanpa adanya halangan padakedalaman 0 meter – 4,2 meter dengan jangkauan radius 20 meter.Kata kunci — ROV, Aplikasi Pemantauan, Sistem Kendali ROV, Joypad, Phyton 2.7.Abstract — ROV is an underwater explorer robot that is controlled by the operator using the ROVcontroller system with a remote control device. In this study a remote control device in the form ofJoypad was integrated with Joypad and Arduino Pro Mini microcontrollers. The ROV is equipped withRaspberry Pi, cameras, temperature sensors, gyroscope sensor, voltage sensor and water pressuresensors to acquire underwater conditions to be sent to the operator's laptop and the displayed on anmonitoring application in the form of a GUI (Graphic User Interface) built in Python 2.7 programming.The test results are obtained that the GUI can monitor underwater conditions by displaying videostreaming, temperature data, and ROV depth in realtime. Control devices in the ROV are able to controlthe movement of the ROV to go down, up, turn right, turn left, forward and backward without anyobstacles at a depth of 0 meters - 4.2 meters with a radius range of 20 meters.Keywords — ROV, Monitoring Aplication, ROV Control System, Joypad, Phyton 2.7.
Deteksi Tingkat Kematangan Buah Tomat dengan Metode Fuzzy Logic Menggunakan Modul Kamera Raspberry PI Nadia Muthiati; Herlinawati Herlinawati; Sri Ratna Sulistiyanti; Sri Purwiyanti
Electrician : Jurnal Rekayasa dan Teknologi Elektro Vol. 13 No. 2 (2019)
Publisher : Department of Electrical Engineering, Faculty of Engineering, Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/elc.v13n2.2105

Abstract

Intisari — Proses pemanenan buah tomat dapat dilakukan menggunakan metode visual dengan memperhatikan warna atau ukuran dari buah. Kemajuan teknologi menggunakan bantuan komputer membuat pemanenan dan pendeteksian kematangan buah tomat semakin mudah. Informasi kematangan buah tomat dapat diperoleh dengan cara pengolahan citra dengan bantuan fuzzy logic menggunakan metode Tsukamoto. Pada penelitian ini beberapa sampel buah tomat diambil nilai RGB melalui pengolahan citra sesuai dengan tingkat kematangannya, diantaranya mentah, setengah matang, dan buah matang. Setelah nilai RGB didapat maka akan diproses ke dalam fuzzy logic untuk mendapatkan informasi kematangan melalui aturan-aturan yang telah dibuat dan diintegrasikan menggunakan Raspberry Pi. Hasil penelitian ini menunjukan bahwa kondisi yang baik untuk melakukan pendeteksian buah tomat salah satunya yaitu pada kondisi indoor 100 Lux berlatar belakang gelap. Hal ini mungkin dikarenakan tidak terdapat pantulan cahaya berlebih sehingga citra yang diambil nilai RGBnya tidak terlalu tinggi dan mengurangi terjadinya kesalahan pembacaan informasi kematangan dalam proses fuzzy logic.Kata kunci — Image Processing, Fuzzy Logic, Modul Kamera Raspberry Pi.Abstract — The process of harvesting tomatoes is usually done by the visual method by looking at the color or the size of the fruit. Technological advancements by using computer assistance make harvesting and detecting the ripening process of tomatoes easier. The information of the process of Tomato’s ripening can be obtained by the image processing by using Tsukamoto Fuzzy-Logic. In this research some samples of tomatoes’ RGB values were taken through image processing in accordance with the ripening level, between unripe, under-ripe, and ripe fruit. After the RGB value is obtained, it will be processed into fuzzy logic to obtain the ripening level information through rules that have been created and integrated by using Raspberry-Pi. The result of this research indicates that a good condition for detecting tomatoes is in 100 Lux conditions with dark background. This might be because there is no excessive light reflection, so that the RGB value of the image is not too high and reduces the error of reading the ripening level in the fuzzy logic process.Keywords—  Image Processing, Fuzzy Logic, Raspberry Pi Camera Module.
Substraksi RGB untuk Identifikasi Jenis Daging Konsumsi Berbasis Pengolahan Citra Afri Yudamson; Sri Ratna Sulistiyanti; Syaiful Alam; FX Arinto Setyawan; Titin Yulianti
Electrician : Jurnal Rekayasa dan Teknologi Elektro Vol. 14 No. 2 (2020)
Publisher : Department of Electrical Engineering, Faculty of Engineering, Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/elc.v14n2.2148

Abstract

Intisari Kesenjangan nilai ekonomis yang cukup tinggi yang terjadi pada komoditas beberapa jenis daging konsumsi menjadi penyebab utama terjadinya kecurangan pada proses penjualannya. Secara kasat mata, beberapa jenis daging akan terlihat sama sehingga sulit untuk diidentifikasi. Dengan menggunakan pengolahan citra, data matriks dari beberapa jenis daging konsumsi akan menampilkan kecenderungan tertentu sehingga dapat dijadikan ciri identifikasi. Sampel pada penelitian ini adalah daging Kambing, daging Anjing, daging Babi, dan daging Celeng. Metode Substraksi RGB merupakan turunan dari matriks citra RGB. Dengan menggunakan metode ini, citra masing-masing jenis daging konsumsi dapat diidentifikasi. Hasil penelitian menunjukkan bahwa daging Kambing dan daging Celeng dapat diidentifikasi menggunakan substraksi GB, sedangkan daging Anjing dan daging Babi dapat diidentifikasi menggunakan substraksi GB yang dilanjutkan dengan substraksi RB.Kata kunci kecurangan penjualan daging, identifikasi daging, pengolahan citra, substraksi RGBAbstract High gap of the economic values that occurs in several types of meat commodities is a major cause of fraud of the meat sales. In plain view, several types of meat will be look similar so these were difficult to identify. By using image processing, matrix data from several types of meat will display certain trends so that it can be used as an identification feature. Samples in this study were goat meat, dog meat, pork meat, and boar meat. The RGB Substraction Method is a derivative of an RGB image matrix. Using this method, images of each type of meat can be identified. The results showed that goat meat and boar meat could be identified using GB substraction, while dog meat and pork meat could be identified using GB substraction followed by RB subtraction.Keywords meat sales fraud, meat identification,image processing, RGB substraction
Identifikasi Karakteristik Accumulator Menggunakan Citra Termal Berbasis Pengolahan Citra Sri Ratna Sulistiyanti; F.X. Arinto Setyawan; Tiya Muthia; Yudi Eka Putra
Jurnal Teori dan Aplikasi Fisika Vol 11, No 2 (2023): Jurnal Teori dan Aplikasi Fisika
Publisher : Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jtaf.v11i2.7984

Abstract

Batteries are an important part of the power generation system, both solar power plants and motorized vehicle electrical systems. Battery capacity is something that must be considered for these various activities, because a decrease in battery capacity results in disruption of power distribution to users. The battery in this study is a battery or accumulator. The sample image is obtained using a thermal camera to determine the characteristics of the battery based on color. The basis for identifying characteristics is obtained by separating the RGB color components in the thermal image. Each color component will calculate the average pixel intensity value and see the difference in the resulting value. The results showed that the distinguishing characteristic between the sampling conditions was that the green pixel intensity mean value when the battery was being charged was higher than the condition of the battery before being charged and the condition of the battery when it was loaded. The average value when the battery is on the power side is 107 pixels green, while the average value when the battery is before charging is 81 pixels green and when the battery is loaded the average green value is 82 pixels.
Penerapan Jaringan Saraf Tiruan / JST (Backpropagation) untuk Prakiraan Cuaca di Bandar Udara Radin Inten II Lampung Adi Saputra; Sri Ratna Sulistiyanti; Roniyus Marjunus; Yanti Yulianti; Junaidi Junaidi; Arif Surtono
Jurnal Teori dan Aplikasi Fisika Vol 11, No 1 (2023): Jurnal Teori dan Aplikasi Fisika
Publisher : Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jtaf.v11i1.3164

Abstract

Prediksi cuaca diperlukan dalam perencanaan kehidupan sehari-hari, salah satunya untuk membuat keputusan. Keberhasilan dari suatu prediksi cuaca akan berdampak pada pengambilan keputusan di berbagai bidang, antara lain pada bidang pertanian dan penerbangan. Pada bidang penerbangan, prediksi cuaca penting untuk menentukan waktu, lokasi, arah gerak, ketinggian serta merencanakan pergerakan pesawat untuk memperhitungkan gangguan operasi yang dapat disebabkan jika cuaca sedang buruk dan juga untuk mempertimbangkan dalam menentukan rute penerbangan atau menentukan dalam membawa tambahan bahan bakar jika dalam suatu kasus pesawat harus kembali dikarenakan kondisi cuaca yang tidak memungkinkan. Oleh karena itu perlunya sebuah metode prediksi cuaca yang baik sehingga dapat mengurangi kerugian dan kerusakan. Parameter maksimum dalam pengembangan perancangan informasi prakiraan cuaca berbasis Jaringan Saraf Tiruan / JST (Backpropagation) dengan menambah inputan data curah hujan, suhu, kelembaban, penyinaran matahari, tekanan udara, arah angin dan kecepatan angin. Penelitian ini dilakukan di wilayah Bandar Udara Radin Inten II Lampung. Data yang digunakan dalam penelitian ini adalah berupa data harian kondisi meteorologi di wilayah Bandar Udara Radin Inten II Lampung dari Stasiun Meteorologi Radin Inten II selama 3 tahun terakhir yaitu dari tahun 2017 hingga tahun 2019. Data tersebut dibutuhkan sebagai data masukan untuk algoritma yang akan digunakan dalam penelitian. Berdasarkan pada hasil penelitian, diperoleh akurasi pelatihan terbaik sebesar 100% pada arsitektur jaringan syaraf tiruan dengan parameter fungsi pelatihan levenberg-marquardt (trainlm) dan scaled conjugate gradient (trainscg), fungsi aktivasi sigmoid biner dan sigmoid bipolar, dan jumlah neuron 20, 40, 60, 80, dan 100. Sedangkan akurasi pengujian terbaik sebesar 74.359% pada arsitektur jaringan syaraf tiruan dengan parameter fungsi pelatihan gradient descent wit momentum and adaptive learning rate (traingdx) dan fungsi aktivasi sigmoid biner (logsig) dan jumlah neuron 20 dan 80.Kata kunci: Penerapan Jaringan Saraf Tiruan, Prakiraan Cuaca, Bandar Udara Radin Inten II Lampung.Weather prediction is needed in planning daily life, one of which is to make decisions. The success of a weather prediction will have an impact on decision making in various fields, including agriculture and aviation. In the field of aviation, weather prediction is important to determine the time, location, direction of motion, altitude and plan the movement of aircraft to take into account operational disturbances that can be caused if the weather is bad and also to consider in determining flight routes or determining in carrying additional fuel if in an emergency. In the case of the aircraft having to return due to unfavorable weather conditions. Therefore the need for a good weather prediction method so as to reduce losses and damage. In this case the author tries to focus on the maximum parameters in the development of weather forecasting information design based on Artificial Neural Networks / Backpropagation by adding input data of rainfall, temperature, humidity, sunlight, air pressure, wind direction and wind speed. This research was conducted in the area of Radin Inten II Airport, Lampung. The material used in this study is in the form of daily data on meteorological conditions in the Radin Inten II Lampung Airport area from the Radin Inten II Meteorological Station for the last 3 years, from 2017 to 2019. This data is needed as input data for the algorithm that will be used in study. Based on the research results, the best training accuracy is 100% on the artificial neural network architecture with levenberg-marquardt training function parameters (trainlm) and scaled conjugate gradient (trainscg), binary sigmoid and bipolar sigmoid activation functions, and the number of neurons 20, 40, 60, 80, and 100. Meanwhile, the best test accuracy is 74,359% on the artificial neural network architecture with the training function parameters gradient descent wit momentum and adaptive learning rate (trainingdx) and binary sigmoid activation function (logsig) and the number of neurons 20 and 80. Keywords: Application of Artificial Neural Networks, Weather Forecast, Radin Inten II Airport Lampung
Dynamic evolution control for the DC/DC boost converter design and implementation Samosir, Ahmad Saudi; Sulistiyanti, Sri Ratna; Gusmedi, Herri; Mardiyah, Luthfiyyatun
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 15, No 1: March 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v15.i1.pp357-366

Abstract

This paper introduces the design and hardware implementation of the dynamic evolution control for a DC/DC boost converter. The development of the controller aims to effectively regulate the output voltage of the DC/DC boost converter with a high degree of precision. A comprehensive examination of the duty cycle formula for the boost converter is conducted using a non-linear analysis approach. This study introduces a methodology for the synthesis of a converter controller utilizing the principles of dynamic evolution control theory. The converter's output consistently aligns with the target voltage by following the dynamic evolution path determined by the designed controller. The performance evaluation of the proposed boost converter controller utilizing dynamic evolution control is being validated through the utilization of MATLAB/Simulink simulation software. The effectiveness of the proposed controller is further validated through the presentation of hardware results. The performance of the controller was evaluated by varying the values of parameters k and m.
PROTOTIPE SISTEM PULLY MEKANIK HIGH TORQUE PENGGERAK ALAT PEMBERSIH PANEL SURYA OTOMATIS DENGAN MASSA 40 KG Rakhmat, Riko; Repelianto, Ageng Sadnowo; Setyawan, FX Arinto; Fitriawan, Helmy; Sulistiyanti, Sri Ratna
Jurnal Teknoinfo Vol 18, No 2 (2024): Juli 2024
Publisher : Universitas Teknokrat Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33365/jti.v18i2.3802

Abstract

Solar energy is one of the New Renewable Energy (EBT) which is used specifically to meet electrical energy needs by converting it using a device often called a solar panel. Solar panels are generally arranged in PLTS in open areas so they have the potential to be exposed to dirt such as dust which can accumulate over a certain time and cause a reduction in the efficiency of sunlight irradiance on the surface of the solar panels. The solar panel cleaning system in solar power plants (PLTS) usually still uses conventional methods, namely cleaning by human power. In current technological developments, many automatic cleaning tools have been developed, but most of them in the field are only able to support a tool mass of under 10 kg. To clean a large 330 Wp solar panel, a frame construction is needed as a panel holder that can support a device mass of more than 10 kg, so in this paper a solar panel frame is designed that can support a weight of up to 40 kg. This tool is designed with a mechanical system that is able to support a larger mass of tools than is generally available in the field. In terms of mechanical system, the frame design of this tool uses a rectangular shape with hollow iron material to maintain a balanced position and is driven by a motor with a pully system as a kinetic energy transmission system for rotational motion using a High Torque motor. From the research results, it was found that the tool was able to work with a mass of 40 kg, a power consumption of 53.15 Watts with a tool operating time of 4 hours.
INTRODUCING INTERNET OF THINGS (IOT) FOR A COMMUNITY VILLAGE BASED ON INDUSTRIAL REVOLUTION 4.0 Sulistiyanti, Sri Ratna; Setyawan, F.X. Arinto; Komarudin, M.; Warsono, Warsono
Journal of Community Research and Service Vol 2, No 2: July 2018
Publisher : Universitas Negeri Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24114/jcrs.v2i2.13148

Abstract

AbstractA house is a gathering place for a family, where each family member has a different passion and busyness. If at any time a family member is traveling and wants to monitor and control conditions from a distance, an electronic device is used. One solution to determine the condition of home security at all times, an internet connection is needed by using the concept of the Internet of Things (IoT). IoT is a concept of using an internet network to transfer data or share information with certain applications. The IoT concept is one of the IR 4.0 based systems. In Indonesia, the system has not been widely implemented, especially for village areas. The purpose of this activity is to introduce the concept of IoT in a region as a system of monitoring and controlling homes. The method used is socialization and training of IoT-based smart home models. The system that is introduced is setting lights, monitoring gas (kitchen security), and monitoring using a camera. The results obtained were an increase in knowledge from 45.4% to 79%, and increased skills from 33% to 63%.Keywords: IoT, Village, Industrial Revolution 4.0.
THE TECHNOLOGY INDUCTION FOR PREVENTING LIVESTOCK OF ANIMAL FEED FARMER GROUPS IN DISTRICT OF EAST LAMPUNG Sulistiyanti, Sri Ratna; Hartono, Madi; Wijaya, Agung Kusuma
Journal of Community Research and Service Vol 1, No 2: July 2017
Publisher : Universitas Negeri Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24114/jcrs.v1i2.9337

Abstract

AbstractThe common problem of livestock is abundant greenery during the rainy season and shortages in the dry season. The condition is bad for the health and productivity of livestock Preservation of animal feed technology is conducted by a team from Institute of Research and Community Service (LPPM) of Universitas Lampung, in Toto Mulyo Village, Way Bungur District, East Lampung. The purpose of the processing and preservation of forage feed source of fiber is to utilize forage in the rainy season, maintain the quality of forage, overcome the difficulty of forage in the dry season, improve the quality of forage fiber sources that have low nutrient content. Preservation technique is made silage (to maintain the quality of forage), while to improve the forage quality is done by fermentation and amoniation. The activities were carried out with the design of preserved livestock feeding equipment, training on the use and care of targeted farmer groups (Karya Makmur and Jati Diri 6), group management assistance, the handover of the preserved animal feed technology package, and formed a pilot group. The result of community service is a package of livestock feed preservation technology (silage and ammoniasi).Keywords: ammoniation, livestock feed preservation, fermentation, productivity, silage
Co-Authors A S Samosir Achmad Yahya Teguh Panuju Adi Saputra Admi Syarif Afri Yudamson Afri Yudamson Ageng Sadnowo Ageng Sadnowo Repelianto Agus Trisanto Agus Wantoro Ahmad Pauzi, Gurum Ahmad Saudi Samosir Ahmad Saudi Samosir Ainita, Okta Anjarwati, Arie Arie Anjarwati Arie Setya Putra Arief, Khollaqul Dedyk Erryyanto dhika, eduar Dyah Indriana Kusumastuti Eko Efendi Eko Rismawan Endro Prasetyo Wahono F.X. Arinto F.X. Arinto Setyawan Ferika Shaumi, Rahma Fitria Yunita Fitriwan, Helmy Frisky Volino Andreas Gurum Ahmad Pauzi Gurum Ahmad Pauzi Gusri Akhyar Ibrahim Haris Murwadi Helmy Fitriawan Helmy Fitriawan Hendro Utomo Herlinawati -, Herlinawati Herlinawati Herlinawati Herlinawati Herlinawati Herri Gusmedi Herti Utami Herti Utami Junaidi Junaidi Khairudin Khairudin Khairun Nisa Khollaqul Arief Komalasari, Agrianti Komarudin, M. Kris Sivam Kurnia Muludi Kurniawan, Dendi Luh Putu Ratna Sundari Lukita, Jimmy M Jerry Juliandr Suja M Said Hasibuan M Yusuf Tamtomi M. Dyan Susila Madi Hartono Mahfut Mardiana Mardiana Mardiyah, Luthfiyyatun Marjunus, Roniyus Meizano Ardhi Muhammad Minhajjul Abidin Jaya Muhamad Komarudin Muhamad Komarudin Muhamad Komarudin Muhammad David Muhammad Ifan Saputra Muthia, Tiya Nadia Muthiati Nisa, Mia Abi Noer Sudjarwanto Nurul Hudayani Pami Ruli Setiawan Pauzi, Gurum Ahmad Rahmat, Rafli Dwi Rakhmat, Riko Ranny Dwidayanti Riza Muhida Rudi Darmawan Setyawan, F X Arinto Setyawan, FX Arinto Sony Ferbangkara Sri Purwiyanti Sri Purwiyanti Sri Purwiyanti Sri Wahyu Suciyati Sumadi Sumadi SUMADI SUMADI Surtono, Arif Suryadiwansa Harun Sutyarso Sutyarso Syafriadi Syafriadi Syaiful Alam Syaiful Alam Syaiful Alam Titin Yulianti Tiya Muthia Tiya Muthia Trismahargyono Trismahargyono ubaidah ubaidah Ubaidah, Ubaidah Umi Murdika Wahyu Eko Sulistiono Warsito Warsito Warsono Warsono Wasinton Simanjuntak Wasinton Simanjuntak Wasinton Simanjuntak Wijaya, Agung Kusuma Winanti, Diki Danar Tri Winarto Winarto Y E Putra Yanti Yulianti Yogi Aldino Yudi Eka Putra Yudi Eka Putra Yuli Darni Yuli Darni Yuli Darni