47 research outputs found
Sistem Penentuan Lokasi dan Penyimpanan Barang Menggunakan LabVIEW dan Sensor Ultrasonik
No full textOne of the important aspects in industrial field is a good material handling in logistics. Automated Guided Vehicle (AGV) can be an alternative to making an optimal logistics system. A widely used type of AGV based on its navigation system is line follower robot. This paper explains about applying the line follower robot integrated with LabVIEW to implement ultrasonic sensor as a radar to determine an empty space in logistic storage. The utilization of ultrasonic radar makes the searching process of empty space in the storage faster. Meanwhile, LabVIEW interface is used to help the operator to monitor material handling process. The result of the testing showed that ultrasonic sensor reading in Virtual Instrument LabVIEW has a good precision level when the line follower robot moves in a straight path. The error rate was 6,19% compared to the real situation.Salah satu aspek penting dalam dunia industri adalah penanganan material yang baik pada bagian logistik. Automated Guided Vehicle (AGV) dapat menjadi alternatif untuk mengoptimalkan sistem logistik tersebut. Jenis AGV yang banyak digunakan berdasarkan jenis navigasinya adalah robot pengikut garis. Pada artikel ini, dipaparkan penggunaan robot pengikut garis yang diintegrasikan dengan LabVIEW untuk mengimplementasikan sensor ultrasonik sebagai radar yang berfungsi menentukan lokasi kosong pada tempat penyimpanan barang. Penggunaan radar ultrasonik membuat pencarian ruang kosong pada tempat penyimpanan menjadi lebih cepat, sedangkan untuk membantu operator dalam memonitor proses penanganan material digunakan antarmuka LabVIEW. Berdasarkan hasil beberapa kali pengujian, pembacaan sensor ultrasonik pada Virtual Instrument LabVIEW memiliki tingkat presisi pembacaan cukup baik pada saat pengikut garis bergerak di lintasan lurus. Adapun kesalahan dalam pembacaan sebesar 6,19% dibandingkan dengan kondisi sebenarnya.</jats:p
The Development of CNC Hot Wire 3D Cutting Foam Tool
No full textWedding decorations are considered incomplete without decoration. The decoration business must prepare a skilled and creative workforce and improve the artistic creation skills of employees to provide several choices of decorating styles to clients. The material that was recently used in decorations is styrofoam. The purpose of this research is to design a CNC machine to get good results and neatly cut Styrofoam using a hot wire. This research also contributes to solving problems with Styrofoam cutting usually a problem with detailed and complicated work that can be solved automatically using a CNC machine. Tool hardware design requires Bluetooth connection, driver to the stepper motor, driver A4988 to CNC shield, and step down to the heating wire. Software design includes uploading GRBL firmware, creating G-code using Inkscape Software, and connecting Android applications to CNC machines. The result shows that for 2-dimensional styrofoam cutting with 1cm thickness, the best results are obtained in the range voltage of 7.4-8.5V. Styrofoam also testing is carried out using the same voltage 8.5V but with different feed rates and the result with 400 mm/min shows the best cut performance. The results of cutting 3-dimensional Styrofoam showed that for a voltage of 8.5V, a feed rate of 300mm/min, and a thickness of 10cm Styrofoam produced the best cutting texture from others. This shows that the heat generated by the wire is directly proportional to the feed rat
Optimalisasi Labview Sebagai Kendali dan Monitoring Arus Tegangan pada Modul Solar Cell Menggunakan Jaringan Lokal
No full textRenewable energy sources in Indonesia have been widely used, one of which is solar energy, for various needs, one of which is for solar power generation by using solar cells as the medium. In generating electricity, solar cells are very dependent on the intensity of the sun so as to produce currents and voltages that are not constant. Because of this, a monitoring system was created to monitor the current and voltage in a solar cell module to determine current and voltage conditions. In this study, the monitoring system used wireless data transmission via the XBee S2C module installed on the Arduino Mega 2560 and Arduino UNO. The INA 219 sensor is mounted on a solar cell module along with a relay module connected to the Arduino Mega 2560 and the XBee S2C module. The test results show that wireless data transmission cannot be used indoors at a distance of more than 20 meters. The INA 219 sensor as a reader for DC current and voltage parameters has an error rate of 0.49% to 0.75% for voltage and for DC current readings it has an error rate of 1.85%. The results of current and voltage readings are displayed on a LabVIEW interface in real-time and can be accessed via a web browser using a local network. Relay control carried out through LabVIEW has a delay time of 6.08 seconds. Logging data can be stored in .xls files and data displayed on a web browser has a delay of one to two seconds
Optimalisasi Daya Output Pada Photovoltaic Penggunakan Sistem Tracking dan Fuzzy Logic Controller
No full textPenerapan Teknologi Pompa Air Tenaga Surya dan Aplikasi Pembukuan Mobile pada Usaha Pertanian di Bunton
No full textThe Kreasi Tani Group in Bunton Village, Cilacap Regency, faces two main challenges in developing oyster mushroom cultivation and pioneering shallot cultivation. First, the significant water requirement for mushroom spraying and shallot seedling watering causes quite burdensome electricity costs for water pump operations. Second, the farmer group does not yet have an adequate financial bookkeeping system, making it difficult for them to accurately monitor financial conditions and make strategic considerations for future business development. This community service activity aims to implement two technological solutions. The first solution is to design and install a Solar power plants system to operate the water pump. Solar power plants system uses 2 200 Wp photovoltaic units, 1 1500 VA inverter unit, and 2 60 AH batteries. The second solution is to develop and train the use of an Android-based mobile bookkeeping application (created with MIT App Inventor) designed to record production results, prices, and summarize sales results of oyster mushrooms and shallots periodically (weekly or monthly). The implementation of Solar Power Plant system can significantly reduce production costs through electricity savings. Meanwhile, mobile bookkeeping applications make it easier for managers to create financial reports, provide accurate data sources, and support strategic decision-making for future business development
Optimalisasi daya output pada Photovoltaic Penggunakan sistem tracking dan Fuzzy Logic Controller
No full textPhotovoltaic is one of the environmentally friendly power plants. One of the problems using photovoltaic is the low efficiency level. Therefore, a method is needed to optimize photovoltaic performance. The use of fuzzy logic control for dual axis tracking system is used in this study to optimize photovoltaic performance. The dual axis tracking system functions to keep the photovoltaic always perpendicular to the direction of the sun\u27s arrival so that it has more optimal output power. The input of the tracking system comes from the LDR sensor which is installed on each side of the Photovoltaic. This sensor is combined with RTC to anticipate weather changes (cloudy). LDR and RTC sensor data as input for fuzzy logic controller. Based on the results of the research, the output power of the Photovoltaic tracking system is 9.363 Watts or 46.82% of the Photovoltaic specifications. Meanwhile, static photovoltaic with conventional installation has a power of 7.247 Watt or 36.23% of the specification. So that Photovoltaic with fuzzy logic control for dual axis tracking system is 29.20% more optimal.Photovoltaic is an environmentally friendly power plant. One of the problems with using photovoltaics is the low-efficiency level, therefore a method is needed to optimize photovoltaic performance. The use of fuzzy logic control for a dual-axis tracking system is used in this study to optimize photovoltaic performance. The dual-axis tracking system functions to keep the Photovoltaic always perpendicular to the direction of the sun so that it has a more optimal output power. The input from the tracking system comes from the LDR sensor which is installed on each side of the Photovoltaic. This sensor is combined with the RTC to anticipate weather changes (cloudy). LDR and RTC sensor data as fuzzy logic controller input. Based on the research results, the output power of the Photovoltaic tracking system is 9.363 watts or 46.82% of the Photovoltaic specifications. Meanwhile, static photovoltaics with conventional installation has a power of 7.247 watts or 36.23% of the specification. So Photovoltaic with fuzzy logic control for dual axis tracking system is more optimal at 29.20%
Implementasi Kontroler Logika Fuzzy sebagai Soft Starting Motor BLDC di Sepeda Listrik
No full textSaat ini, sepeda diakui secara internasional tidak hanya sebagai bentuk rekreasi tetapi juga sebagai sarana transportasi perkotaan dan promotor kesehatan yang baik. Sepeda listrik adalah alat transportasi yang memadukan manfaat dan Kesehatan dari sepeda konvensional dengan keunggulan kendaraan bermotor. Telah kita ketahui juga kendaraan listrik saat pertama kita diberikan tegangan/gas oleh pengemudi terdapat gaya tarik yang kuat atau bisa dikatakan ciri khas dari motor listrik yang mana tarikan tersebut merupakan lonjakan arus yang diberikan. Tujuan dari penelitian ini adalah untuk mengatasi lonjakan arus saat starting, lonjakan tersebut berbahaya dikarenakan dapat mengurangi umur pada motor listrik. Peneliti merancang mekanisme soft starting pada motor BLDC (Brushless DC) dengan cara merancang algoritma kontroler logika fuzzy dan pensaklaran enam tahapan pada rangkaian inverter. Hasil menunjukan bahwa lonjakan arus saat starting sebesar 4,42 Ampere. Kecepatan motor BLDC saat throttle full kecepatan menunjukan 332 rpm dengan respon transient masing-masing sistem sebesar 1.5 s. Ketika diberikan set point kecepatan berubah-ubah, putaran motor BLDC dapat mengikuti yaitu sebesar 88 rpm menuju 180 rpm, kemudian naik sebesar 258 rpm dan puncak sebesar 331 rpm, kemudian turn ke 25 rpm dan terakhir sebesar 145.8 rpm. Saat respon transien sistem layaknya seperti sistem step orde dua, tidak ada overshoot tetapi masih ada osilasi saat mau menuju steady state
Designing a Sea Wave Simulator to Determine the Energy Potential of a Marine Wave Power Plant Using IMU GY-86 Sensor
No full textThis study intended to create a sea wave simulator to find out the potential of ocean wave power plants. To achieve the objective, this study used two systems: generation and reading. Generation used a DC motor as a drive from sea waves, while readings employed an IMU-GY86 sensor for readings of altitude and energy potential generated. The result of this study is that air and air pressure affect the results of measuring the wave height of seawater. Air pressure is inversely proportional to the elevation of a place: the higher the area, the lower the air pressure. The highest potential energy density of seawater waves amounts to 2405.33 J/m2, and the lowest was 550.18 J/m2, with an average value of seawater wave density energy of 1342.41 J/m2
Energy System Audit of Lighting and Air Conditioning in Building E and F Cilacap State Polytechnic
No full textThe purpose of this study was to conduct a review of energy audits in the lighting systems and air conditioning of building E and F of the Cilacap State Polytechnic. The results of the calculation of energy audits in lighting can be used as a guideline to make efficiency in the use of electrical energy. The initial step taken in this study was to look for primary and secondary data. Primary data is obtained by making direct measurements in all building rooms E and F. Secondary data obtained from relevant agencies such as the Cilacap State Polytechnic building data; energy demand data from the Energy and Mineral Resources (ESDM) Office; and data on electricity consumption from the National Electricity Company (PLN). The data is then processed to obtain the value of Energy Use Intensity (IKE) and can also be used as a guide for carrying out measures in energy efficiency. Based on the calculation and processing of the data obtained, the energy consumption of buildings E and F is 3,259.82 kWh/month and 3,650.96 kWh/month. The results of the energy audit calculations performed on the building lighting systems E and F with a building area of 287 m2 and 399 m2 have a building IKE value of 11.37 kWh/ m2/month and 9.16 kWh/m2/month. Based on the IKE criteria index, it was found that building E and F of the Cilacap State Polytechnic were included in the criteria of efficiency
KOPISA: Rancang Bangun Sistem Otomatis Pengemasan Plastik untuk Biji Kopi dengan Fitur Pemantauan Suhu dan Berat
No full textIndustri pada umumnya adalah aktivitas untuk menghasilkan produk. Dalam kegiatan industri terdapat beberapa proses seperti pengumpulan bahan baku, produksi, quality control, pengemasan, dan pemasaran. Salah satu masalah yang sering terjadi adalah pada tahap pengemasan. Jika proses pengemasan tidak efisien, hal ini akan menghambat hasil produksi karena membutuhkan banyak waktu dan tenaga. Oleh karena itu, tugas akhir ini bertujuan untuk merancang dan membuat alat pengemas plastik yang dapat mengubah plastik lembaran menjadi kemasan. Alat ini dilengkapi dengan fitur pemantauan suhu pada pemanas dan pemantauan berat kemasan untuk meningkatkan kualitas hasil kemasan. Sistem ini menggunakan mikrokontroler Arduino Mega2560 sebagai pusat kendali, motor servo untuk katup bak penampungan, sensor load cell untuk penimbangan, motor DC sebagai penggerak sealer, dan LCD untuk menampilkan data. Alat ini mengubah plastik lembaran menjadi kemasan yang direkatkan menggunakan pemanas. Komponen pendukung lainnya meliputi relay dan sensor suhu DS18B20. Hasil pengujian menunjukkan alat ini dapat bekerja optimal pada suhu 60-65°C dengan delay pengepresan 2500 ms. Pengemasan menunjukkan akurasi berat yang baik dengan persentase error rata-rata 8,75% untuk 100gram dan 5,05% untuk 200gram. Selisih berat rata-rata antara load cell dan timbangan konvensional adalah 1,29 gram, dan sensor suhu menunjukkan selisih rata-rata 0,878°C dengan error 1,818%
