bluuebunny/crossref_metadata_2025_split huggingface dataset:
Klasifikasi Grade Telur Ayam Negeri secara non- Invasive menggunakan Convolutional Neural Network
Authors: IBRAHIM NUR , SA’IDAH SOFIA , HIDAYAT BAMBANG , DARANA SJAFRIL 
Published: July 2022

ABSTRAKTelur ayam negeri merupakan salah satu sumber protein yang banyak dikonsumsi masyarakat Indonesia. Untuk menjaga kualitas telur ayam negeri yang beredar di Indonesia, diperlukan sistem yang mampu mengidentifikasi grade telur ayam dan mudah digunakan oleh masyarakat. Penelitian sebelumnya telah mengembangkan sistem pengklasifikasian grade telur ayam negeri secara invasive dengan tingkat akurasi 80%, namun sistem ini membutuhkan sampel telur yang dipecahkan sehingga setiap sampel telur tersebut tidak dapat disimpan dalam waktu lama. Oleh karena itu, penelitian ini mengembangkan sistem klasifikasi grade telur ayam tanpa perlu memecahkan sampel telur ayam (non-invasive). Dengan menggunakan metode Convolutional Neural Network (CNN), sistem mampu mengidentifikasi grade telur ayam negeri pada tingkat akurasi 85,86% dengan arsitektur LeNet-5, optimizer Adam, learning rate 0,001, dan epoch 50.Kata kunci: telur ayam negeri, non-invasive, convolutional neural network, LeNet-5 ABSTRACTLocal Chicken egg are one of the sources of protein that is widely consumed by the people of Indonesia. To maintain the quality of local chicken egg in the market, a system that can identified chicken egg’s grade and easy to use is needed. Previous research has developed an invasive chicken egg’s grade classification system with 80% accuracy. However, the system required egg sample to be cracked so the egg sample can’t be stored for too long. This research develop a non-invasive chicken egg’s grade classification system, which doesn’t require egg sample to be cracked. By using Convolutional Neural Network (CNN), system can identified chicken egg’s grade at 85,86% accuracy with LeNet-5 architecture, Adam optimizer, learning rate 0,001, and epoch 50.Keywords: local chicken egg, non-invasive, convolutional neural network, LeNet-5
Automatic Door Lock with Hand Cleaning and Infra-Red Temperature Detection System
Authors: GALINA MIA , PRASETYO GHALIB EKO , SITOMPUL ERWIN , SUHARTOMO ANTONIUS 
Published: July 2022

ABSTRAKKotak pembersih tangan otomatis merupakan perangkat yang dapat membantu proses pembersihan tangan lebih efisien dibandingkan dengan cuci tangan konvensional. Situasi pandemi Covid 19 membutuhkan perangkat yang dapat bekerja non-kontak untuk mengurangi penyebaran virus. Penelitian ini bertujuan mengembangkan sebuah kotak pembersih tangan otomatis yang dapat membaca suhu tubuh menggunakan sensor temperature MLX90614 dikombinasikan dengan kunci pintu solenoid, untuk menjaga seseorang yang ingin memasuki ruangan tertentu harus membersihkan tangan dan memiliki suhu di bawah batas. Saat memasuki ruangan, pengukuran suhu tubuh dilakukan dengan meletakkan tangan pengunjung di sisi kiri dan kanan kotak hand sanitizer otomatis yang dilengkapi sensor MLX90614. Sistem ini bekerja secara akurat dan dapat membaca suhu tubuh secara optimal dari 1 cm - 3 cm, dengan perbedaan dengan pengukuran thermometer guns hanya berkisar -0,27%~-1,92%. Selanjutnya sistem ADHC mampu meningkatkan efisiensi waktu sebesar 83,15% jika dibandingkan dengan metode konvensional. Kata kunci: pembersih tangan otomatis, pengecek suhu tubuh, Bluetooth, RFID ABSTRACTAn automatic hand cleaning box is a device that can help the hand cleaning process be more efficient than conventional hand washing. The Covid 19 pandemic situation requires a device with a contactless system to reduce the spread of the virus. This research aims to develop an automatic hand sanitizer box that can read body temperature using MLX90614 temperature sensor combined with a solenoid door lock to keep someone who enters the room clean their hands and have a temperature below the limit. When entering the room, body temperature measurement is done by placing the visitor's hand on the left and right sides of the automatic hand sanitizer box, equipped with sensor MLX90614. This system works accurately and can read body temperature optimally from 1 cm - 3 cm, with the difference between the thermometer guns only ranging from -0.27%~-1.92%. Furthermore, the ADHC system is able to increase time efficiency by 83,15% if compared with the conventional method.Keyword: automatic hand cleaning, body temperature check, Bluetooth, RFID.
Pengaruh Jenis Restraint pada Kekuatan Mekanik Support Untai FASSIP 03 NT
Authors: HARYANTO DEDY , GIARNO GIARNO , KUSNUGROHO GREGORIUS BAMBANG HERU , ROSIDI AINUR , PAMUNGKAS ADHIKA ENGGAR , JUARSA MULYA 
Published: July 2022

ABSTRAKKegiatan penelitian yang dilakukan dilatarbelakangi oleh kejadian kecelakaan pada PLTN Fukushima Dai-Ichi Jepang. Untai Fasilitas Simulasi Sistem Pasif-03 Nanobubbles Transparent (FASSIP 03 NT) menggunakan fluida Nanobubbles sebagai fluida kerja. Support untai FASSIP 03 NT merupakan salah satu komponen di untai FASSIP-03 NT, berfungsi sebagai penopang seluruh komponen untai FASSIP 03 NT sehingga perlu diketahui kekuatan mekaniknya meliputi tegangan mekanik dan translational displacementnya. Metode pengujian dilakukan secara simulasi menggunakan software CATIA yang merekomendasikan penggunaan restraint jenis slider pada keempat kaki support untai FASSIP 03 NT. Dengan adanya penelitian sistem pasif ini maka kondisi ketiadaan catu daya listrik bagi pompa pendingin teras reaktor PLTN tidak berakibat fatal, karena sistem pendingin pasif dapat mengambil alih fungsi pendinginan pada teras reaktor.Kata kunci: FASSIP 03 NT, tegangan mekanik, translasional displacement, restraint, clamp, slider ABSTRACTThe research activity was carried out against the background of an accident at the Fukushima Dai-Ichi Nuclear Power Plant in Japan. Passive System Simulation Facility Strand-03 Nanobubbles Transparent (FASSIP 03 NT) uses Nanobubbles fluid as the working fluid. The FASSIP 03 NT strand support is one of the components in the FASSIP-03 NT strand, it functions as a support for all FASSIP 03 NT strand components so it is necessary to know its mechanical strength including mechanical stress and translational displacement. Methodology has been done through simulation testing using CATIA software, it is recommended to use a slider type restraint on the four legs of the FASSIP 03 NT strand support. With this passive system research, the condition of the absence of an electric power supply for the nuclear power plant reactor core cooling pump is not fatal, because the passive cooling system can take over the cooling function in the reactor core.Keywords: FASSIP 03 NT, mechanical stress, translational displacement, restraint, clamp, slider
Prototipe Mesin Penjual Air Mineral Otomatis berbasis Arduino Mega 2560 dan RFID-RC522
Authors: SIMATUPANG JONI WELMAN , PRASETYO BAYU , GALINA MIA , SUHARTOMO ANTONIUS 
Published: July 2022

ABSTRAKMeningkatnya jumlah sampah botol plastik sekarang ini telah membawa banyak masalah kesehatan dan lingkungan hidup. Masalah tersebut dapat dikurangi jika seseorang mau membawa botol minum (tumbler) sendiri. Namun, dibutuhkan mesin penjual air mineral untuk mengisi ulang tumbler. Paper ini menjelaskan disain dan implementasi prototipe mesin penjual air mineral otomatis, praktis, dan ekonomis berbasis Arduino Mega 2560 dan RFID-RC522. Pengujian terhadap prototipe ini dilakukan dalam tiga tahap: (1) pengujian jarak baca antara kartu RFID dengan RFID reader, (2) pengujian pada kondisi ideal, dan (3) pengujian pada kondisi tidak ideal. Dari pengujian pertama disimpulkan bahwa RFID-RC522 dapat melakukan pembacaan optimal pada jarak 35 mm. Dari hasil pengujian kedua diperoleh nilai akurasi (keakuratan) pada saat pengisian air sebesar 82%. Sedangkan hasil pengujian ketiga menyatakan bahwa prototipe dapat membaca kemungkinan yang terjadi pada kondisi tidak ideal. Kelemahan dari prototipe ini adalah belum terintegrasi dengan sistem pembayaran uang elektronik (e-money).Kata kunci: Arduino Mega 2560, Mikrokontroller, RFID-RC522, Sampah Plastik. ABSTRACTThe increasing amount of plastic bottle waste today has brought many health and environmental problems. These problem can be minimized when someone brings their own drinking bottle water. But, vending machine-like was needed to refill the tumbler. This paper explains a design implementation of prototype that can provide an automatic, practical, and economical mineral water filling based on Arduino Mega 2560 and RFID-RC522. Testing on this prototype was carried out in three stages: (1) testing of the reading distance between the RFID card and the RFID reader, (2) testing under ideal conditions, and (3) testing under non-ideal conditions. From the first test summarized that the RFID-RC522 can perform optimal readings at a distance of 35 mm. From the second test obtained the accuracy of the prototype when filling water by 82%. And the third test shows that the prototype could read the possibilities occurred in non-ideal conditions. The drawback of this prototype is not yet integrated with e-money payment system.Keywords: Arduino Mega 2560, Microcontroller, RFID-RC522, Plastic Waste.
Perangkat Budidaya Microgreen berbasis Internet of Things
Authors: AFANDI MAS ALY , FADHLAN FATHURROZAQ , ROCHMANTO RADITYA ARTHA , WIDYANTARA HELMY 
Published: July 2022

ABSTRAKMicrogreen merupakan sayuran muda yang lebih kaya akan gizi jika dibandingkan dengan sayuran dewasa. Sayuran ini dibudidayakan dengan waktu yang cepat sekitar 10 – 14 hari setelah proses pembibitan. Masa yang cepat ini menuntut pemeliharaan yang baik. Kebutuhan ini mendorong penelitian tentang perangkat budidaya microgreen yang mampu mengontrol kelembapan dan intensitas cahaya. Penelitian ini bertujuan untuk membuat media sarana perangkat budidaya microgreen berbasis Internet of Things. Perangkat ini memberikan hasil yang baik dengan nilai akurasi pada pembacaan kelembapan 15% 30%, 60%, 80%, dan 90% masing-masing sebesar 93,47%, 96,29%, 98,83%, 97,08%, dan 99,05%. Sedangkan akurasi pada pembacaan intensitas cahaya pada jarak 10 cm dan 15 cm masing-masing sebesar 99,98% dan 99,85%. Waktu tunda yang dibutuhkan untuk mengirim ke IoT platform adalah 0,5 – 2 s. Perangkat ini mampu membaca parameter dengan baik dan dikirimkan ke cloud Antares.Kata kunci: microgreen, sayuran, Internet of Things, akurasi, kelembapan media ABSTRACTMicrogreens are young vegetables but more nutritious compared to mature vegetables. Microgreens are cultivated with a fast time period around 10-14 days after the seeding process. This fast period requires good maintenance by keeping the media moist and light requirements on microgreens. This need encourages research on microgreen cultivation devices that are able to control humidity and light intensity. This study aims to create a microgreen cultivation device based on the Internet of Things. This device gives good results with accuracy values at 15%, 30%, 60%, 80%, dan 90% humidity readings of 93,47%, 96,29%, 98,83% 97,08%, and 99,05% respectively. Meanwhile, the accuracy in light intensity reading at a distance of 10 cm and 15 cm is 99,98% and 99,85%, respectively. The delay time required to send to the IoT platform is 0,5 – 2 s. This device is can read all parameter and send it to Antares IoT platform.Keywords: microgreen, vegetable, Internet of Things, accuracy, soil moisture
Sistem Pendinginan Panel Surya dengan Metode Penyemprotan Air dan Pengontrolan Suhu Air menggunakan Peltier
Authors: LAKSANA EKA PURWA , SANJAYA OKTIVIYANTO , SUJONO SUJONO , BROTO SUWASTI , FATH NIFTY 
Published: July 2022

ABSTRAKSalah satu faktor yang dapat mempengaruhi efisiensi panel surya adalah suhu pada modul panel surya. Efisiensi panel surya akan menurun seiring dengan naiknya suhu panel surya. Oleh karena itu, dibutuhkan suatu mekanisme pendinginan pada sistem panel surya untuk dapat meningkatkan efisiensi panel surya. Pada penelitian ini, dirancang sebuah sistem pendinginan panel surya dengan metode penyemprotan air dan pengontrolan suhu air. Jika suhu telah mencapai 40oC, pompa yang terdapat pada bak penampungan air akan bekerja mengalirkan air ke permukaan panel surya. Dengan demikian, suhu pada panel surya dapat dikontrol agar sesuai dengan set point yang diinginkan yakni di bawah 40oC. Sistem pengontrolan suhu air dengan peltier dan fan dilakukan untuk mengontrol suhu air di dalam bak penampungan air agar tetap berada pada suhu maksimal 39oC. Sistem pendinginan panel surya pada penelitian ini mampu meningkatkan daya keluaran panel surya sebesar 30,19%.Kata kunci: panel surya, pendingin, semprotan air, peltier ABSTRACTThe solar panels efficiency can be affected by the the temperature of the solar panel module. It will decrease as the temperature of the solar panels increases. Therefore, a cooling mechanism in the solar panel system is needed to increase the efficiency of the solar panels. In this study, a solar panel cooling system was designed with the method of spraying water and controlling water temperature. If the temperature has reached 40oC, the pump in the water reservoir will work to circulate water to the surface of the solar panel. Thus, the temperature on the solar panel can be controlled to match the desired set point, which is below 40oC. The water temperature control system with peltier and fan is carried out to control the temperature of the water in the water reservoir so that it remains at the maximum temperature of 39oC. The solar panel cooling system in this study was able to increase the solar panel output power by 30.19% when using the cooling system.Keywords: solar panels, cooling, water spray, peltier
Estimasi Utilisasi Prosesor pada Jaringan Interkoneksi Optik menggunakan Regresi Gaussian
Authors: NUHA HILAL HUDAN , WARDANA AULIA ARIF 
Published: July 2022

ABSTRAKTeknologi prosesor paralel melibatkan lebih dari satu node prosesor dalam interkoneksi optik. Unjuk kerja dari desain dari jaringan optik tersebut harus diestimasi sebelum diimplementasikan. Atribut yang bisa diambil diambil dari desain tersebut yaitu nomor node dan thread, distribusi spasial dan temporal, dan rasio T/R. Kajian ini mengevaluasi teknik estimasi utilitasi prosesor menggunakan regresi Gaussian yang dibandingkan dengan Support Vector Machine untuk regresi dan regresi linear. Hasil percobaan penunjukkan bahwa regresi Gaussian menghasilkan akurasi estimasi paling tinggi dengan nilai koefisien determinasi sebesar 98.75%.Kata kunci: Utilisasi prosesor, interkoneksi optik, regresi Gaussian ABSTRACTParallel processor technology involves more than one processor node in an optical interconnection. The performance of the design of the optical network must be estimated before further deployment. The attributes that can be obtained from the design are the number of nodes and threads, the spatial and temporal distribution, and the T/R ratio. This study evaluates the processor utility estimation technique using Gaussian regression compared to the Support Vector Machine for linear regression and regression. The experimental results show that Gaussian regression produces the highest estimation accuracy with a coefficient of determination of 98.75%.Keywords: Processor Utilization, Optical Interconnection, Gaussian Regression
Sistem Pembangkit Laju-Aliran-Rendah Fluida Cair Presisi Tinggi menggunakan Kendali PID
Authors: SUTANTO HERI , HAQQI MUHAMMAD SABILA , SUBIANTORO ARIES , KUSUMOPUTRO BENYAMIN 
Published: July 2022

ABSTRAKPeralatan infus medis seperti syringe pump dan infusion pump semakin banyak digunakan di rumah sakit dan fasilitas-fasilitas kesehatan. Kalibrasi peralatan tersebut sangat krusial dilakukan untuk mengidentifikasi penyimpangan pengukuran dan menghindari kerugian klinis hingga mortalitas. Peralatan tersebut umumnya dikalibrasi dengan metode perbandingan terhadap Infusion Device Analyzer (IDA). Untuk memastikan ketertelusuran kalibrasi tersebut, IDA perlu dikalibrasi, salah satunya dengan metode gravimetrik. Namun, kendala terbesar dalam kalibrasi IDA adalah membangkitkan laju aliran rendah dengan keberulangan yang baik dan kepresisian tinggi. Pada penelitian ini telah dibangun sebuah sistem pembangkit laju aliran rendah fluida cair presisi tinggi menggunakan kendali PID lingkar tertutup dengan kecepatan motor DC sebagai feedback. Hasil pengujian menunjukkan bahwa sistem dapat membangkitkan laju aliran pada rentang ukur 100 ml/jam kemudian turun ke 10 ml/jam. Ketidakpastian pengukuran yang diperoleh antara 0,06% pembacaan sampai 0,24% pembacaan, pada tingkat kepercayaan 95% dengan faktor cakupan k=2. Sistem yang dikembangkan layak digunakan dalam kalibrasi IDA.Kata Kunci: kalibrasi, peralatan infus medis, laju aliran rendah, kendali PID, ketidakpastian pengukuran ABSTRACTMedical infusion such as syringe pump and infusion pump are widely used in hospitals and health facilities. Calibration of the equipments are crucial in order to identify any measurement errors and to avoid clinical losses which may lead to mortality. The equipments are generally calibrated by an Infusion Device Analyzer (IDA). To ensure the traceability of the calibration results, IDA needs to be calibrated, one of which is by the gravimetric methods. However, the biggest problem in the calibration of IDA is generating low flow rates with good repeatability and high precision. In this research, the high-precision liquid low flow rate generator system has been built using a closed-loop PID control with DC motor speed as feedback. The results showed that the system was able to generate low flow rates at 100 ml/h then down to 10 ml/h. The uncertainty of calibrations range were from 0.06% to 0.24% of reading, at 95% confidence level with a coverage factor k=2. Hence, the system is suitable to be used in IDA calibration.Keywords: calibration, medical infusion, low flow rate, PID control, measurement uncertainty
Optimasi Convolutional Neural Network dan K-Fold Cross Validation pada Sistem Klasifikasi Glaukoma
Authors: FUADAH YUNENDAH NUR , UBAIDULLAH IBNU DAWAN , IBRAHIM NUR , TALININGSING FAUZI FRAHMA , SY NIDAAN KHOFIYA , PRAMUDITHO MUHAMMAD ADNAN 
Published: July 2022

ABSTRAKPada penelitian ini dilakukan perancangan arsitektur Convolutional Neural Network (CNN) yang terdiri dari 5 layer konvolusi dan 1-fully connected layer untuk mengklasifikasikan citra fundus kedalam kondisi normal, early, moderate, deep, dan ocular hypertension (OHT). Selanjutnya, model yang diusulkan dibandingkan dengan arsitektur AlexNet yang memiliki 5 layer konvolusi dan 3- fully connected layer. Data yang digunakan berupa citra fundus yang terdiri dari 3200 data latih, 800 data validasi, dan 1000 data uji. Optimasi model CNN dilakukan dengan melakukan pengujian hyperparameter yang terdiri dari learning rate, batch-size, epoch, dan optimizer. Selain itu, pada tahap training diimplementasikan 5-fold cross validation untuk seleksi model terbaik. Dengan model yang lebih sederhana dari AlexNet, model CNN usulan dapat memberikan performansi yang sama dengan arsitektur AlexNet yaitu akurasi 100%, presisi, recall, f1-score dan AUC score bernilai 1.Kata kunci: glaukoma, citra fundus, convolutional neural network (CNN), AlexNet ABSTRACTThis study proposes a Convolutional Neural Network with 5 convolutional layer and 1-fully connected layer to classify fundus images into normal, early, moderate, deep, and ocular hypertension (OHT) conditions. Furthermore, the proposed model is compared with the AlexNet architecture which has 5 convolution layers and 3- fully connected layers. The data used is a fundus image consisting of 3200 training data, 800 validation data, and 1000 test data. The optimization of the CNN model is performed by testing the hyperparameters consisting of learning rate, batch size, epoch, and optimizer. In addition, at the training stage, 5-fold cross validation is implemented to select the best model to be used in the test stage. With a simpler model from AlexNet, the proposed model provides 100% accuracy performance with precision values, recall, f1-score, and AUC score of 1.Keywords: glaucoma, fundus images, convolutional neural network (CNN), AlexNet
Armor Layer Uniformity and Thickness in Stationary Conditions with Steady Uniform Flow
Authors: Ikhsan Cahyono , Permana Ariva S. , Negara Arlendenovega S. 
Published: July 2022

The continuous movement of riverbed particles due to turbulent flow determines the stability of non-cohesive riverbeds and banks during riverbed and bank erosion and sedimentation. This study emulated the stable channel design by deriving the low maintenance cost of the channel through bed protection by an armor layer. The study investigated the effects of shear stress and grain size uniformity to determine the minimum non-cohesive armor layer thickness for the stability of riverbeds under steady uniform flow conditions. Experiments were conducted with four different discharges, five armor material gradations, and five bed-slope variations in a full-scale flume. We observed and recorded the behaviors of the five gradations of armor materials for given discharges and bed slopes. Eighty data points were recorded and analyzed. The hydraulic analysis of the flow along with the soil mechanics analysis of the armor materials was done. The soil mechanic analysis was particularly focused on the uniformity coefficient of the armor layer, Cu, to derive the armor layer equation. However, for the manageability of the study, we set the limit of the Cu between 3.0 and 6.0. From the viewpoint of non-erodibility, a wider Cu value indicated a thinner armor layer. Variables that govern the armor layer thickness and the layer thickness itself were derived and proposed. The variables, namely Cu, shear stress (t0 and tc), and mean diameter of the bed load and armor materials (Db50 and Da50). Our results show that these variables governed the thickness of the armor layer, and this is expected to contribute to the design of stable natural channels, which can minimize the cost of irrigation canal maintenance and development. Doi: 10.28991/CEJ-2022-08-06-01 Full Text: PDF
Asphalt Elasticity Modulus Comparison Using Modified Laboratory LWD Against UMMATA Method
Authors: Caroles Lucky 
Published: July 2022

Highway consultants need pavement structure strength to examine and design. With advances in computer, sensor, and microelectronic technologies, the light weight deflectometer (LWD) can measure granular and asphalt layers. This portable, easy-to-use tool is suggested. This article was designed to improve LWD Pusjatan's accuracy and distinguish it from other testing methods. This study compares the LWD Pusjatan and UMMATA (Universal Material Testing Apparatus) methods for measuring modulus of elasticity on different materials. Boussinesq elastic theory is used to compute the modulus of most LWDs. In a semi-elastic environment, modulus is the connection between pressure and displacement in a rigid or flexible basis. The deflection value is derived from the process of vibrations caused by a load delivered from a given height onto a test item, with the wave/vibration collected by an acceleration measuring instrument, such as a geophone or accelerometer. The modulus of elasticity provided by the AUDL (Laboratory Deflection Test Equipment) method is less than that produced by the UMMATA method. According to the test results, the average value of AC Base material is 7.52% less than that of AC Base. The average value of AC BC material is just over 0.3%. These results indicate that more testing is necessary when using the AUDL methodology to detect correlations that might serve as a basis for comparison. Thus, the AUDL test method may be used as a nondestructive testing technique. This kind of non-destructive technique should be used frequently so that simulations of field circumstances are more accurate. Doi: 10.28991/CEJ-2022-08-06-012 Full Text: PDF