RANCANG BANGUN ROBOT PELAYAN MEDIS UNTUK PASIEN KARANTINA COVID-19 DENGAN KENDALI BERBASIS ANDROID

Virus Corona (COVID-19) adalah virus yang sedang menjadi pandemi di dunia. Di Indonesia, tercatat lebih dari 700 ribu kasus positif dengan lebih dari 21 ribu orang meninggal akibat infeksi virus corona. Penanganan pasien COVID-19 tentu perlu menjadi perhatian untuk mengurangi penyebaran virus tersebut. Upaya yang bisa dilakukan adalah meminimalkan kontak kecuali memang sangat mendesak dan darurat. Penggunaan robot sebagai pelayan medis menjadi alternatif untuk mengurangi kontak dengan pasien yang dikarantina. Robot pelayan medis dapat digunakan untuk melaksanakan pelayanan rutin seperti mengantar makanan, obat atau keperluan lain yang sifatnya tidak mendesak. Dalam penelitian ini, Robot yang telah dirancang mampu dikendalikan menggunakan gawai berbasis Android yang dikoneksikan menggunakan jaringan tanpa kabel. Robot yang telah dirancang juga memiliki fitur untuk video call sebagai sarana konsultasi jarak jauh dengan tenaga kesehatan. Selain itu, Robot tersebut juga mampu membawa beban hingga 40 kilogram.

PERBANDINGAN KEMAMPUAN REGRESSION TESTING TOOL PADA REGRESSION TEST SELECTION: STARTS DAN EKSTAZI

Regression testing as an essential activity in software development that has changed requirements. In practice, regression testing requires a lot of time so that an optimal strategy is needed. One approach that can be used to speed up execution time is the Regression Test Selection (RTS) approach. Currently, practitioners and academics have started to think about developing tools to optimize the process of implementing regression testing. Among them, STARTS and Ekstazi are the most popular regression testing tools among academics in running test case selection algorithms. This article discusses the comparison of the capabilities of the STARTS and Ekstazi features by using feature parameter evaluation. Both tools were tested with the same input data in the form of System Under Test (SUT) and test cases. The parameters used in the tool comparisons are platform technology, test case selection, functionality, usability and performance efficiency, the advantages, and disadvantages of the tool. he results of the trial show the differences and similarities between the features of STARTS and Ekstazi, so that it can be used by practitioners to take advantage of tools in the implementation of regression testing that suit their needs. In addition, experimental results show that the use of Ekstazi is more precise in sorting out important test cases and is more efficient, when compared to STARTS and regression testing with retest all.

PERBANDINGAN PERFORMANSI MESIN REFRIGERASI KOMPRESI UAP CHEST FREEZER MENGGUNAKAN PIPA KAPILER dan ORIFICE

Teknologi refigerasi saat ini memberikan pengaruh yang penting dalam peningkatan kualitas produk makanan. Chest dalam bahasa Inggris adalah peti, sedangkan freezer adalah pembeku. Chest freezer artinya adalah peti beku. Bentuknya adalah kotak kubus atau persegi panjang dan diletakkan di atas lantai. Akses pintu chest freezer berbentuk pintu buka atas, dan sangat efektif untuk menyimpan bahan makanan beku supaya kualitas makanan tetap baik setiap saat Tujuan dari penelitian ini adalah Mengetahui seberapa besar perbedaan performansi yang dihasilkan dari alat ekspansi berupa pipa kapiler dengan orifice dengan diameter yang berbeda dan mengetahui daya konsumsi listrik yang dipakai, sehingga mengetahui daya listrik per-hari. Metode yang dipakai dalam penelitian kali ini adalah melakukan pengujian pada sistem refrigerasi mesin pembuat es krim, dengan menguji performansinya dengan mengukur temperatur dan tekanan di setiap komponen utamanya saat sistem dalam keadaan steady. Hasil penelitian nilai COP aktual rata-rata diameter pipa kapiler 0,028 inchi adalah 2,16 sedangkan nilai COP aktual rata-rata orifice 0,031 inchi adalah 2,74. Dan nilai COP Aktual pipa kapiler diameter 0,028 inchi memiliki nilai lebih besar yaitu 2,16 sedangkan untuk orifice diameter 0,031 inchi memiliki nilai lebih kecil yaitu 1,88. Sedangkan untuk nilai efisiensi refrigrasi terbesar pada nilai rata-rata adalah pipa kapiler diameter 0,028 inchi sebesar 63,58 %. Sedangkan untuk orifice diameter 0,031 inchi lebih kecil memiliki nilai efesiensi refrigrasi rata-rata 59,49% dan temperatur kabin pada pipa kapiler diameter 0,028 inchi nilai rata-rata dengan temperatur sebesar -9,82 0C. Sedangkan untuk orifice diameter 0,031 inchi lebih kecil memiliki nilai rata-rata lebih dingin yakni sebesar -9,09 0CKata Kunci: pipa kapiler,orifice dan COP.

STUDI PERANCANGAN PISAU PADA MESIN PENCACAH PLASTIK MENGGUNAKAN FINITE ELEMENT ANALYSIS

The amount of plastic waste each year will increase by 10% every year which is a problem for a country. Therefore, proper processing of plastic waste needs to be done. Before being processed into plastic waste processing, it is necessary to have a chopping process using a plastic chopping machine. The plastic chopping machine has an important component, namely the chopping knife. Before carrying out the knife manufacturing process, it is necessary to validate the design of the blade that is used with its loading. Model simulation using software is one way to quickly validate the model. This study aims to determine the effect of loading variations on stress, strain, deformation and safety factors of the model. The use of ANSYS R17.2 software is used to analyze the chopping machine knife model with a variation of 5kg / hour, 10kg / hour, 20kg / hour and 50kg / hour capacities. The result is that the stress, strain and deformation parameters have an increase in value with increasing loading variations. The greatest values of stress, strain and deformation are in the variation of 50kg / hour respectively 64.995 Pa; 336.76 and 56,358 x 10-11mm. The value of the safety factor for all variations of loading has a value of 15. The value of the safety factor means that the design of the plastic chopping knife is safe to use up to a loading of 50kg / hour

Sistem Penjadwalan Sidang Tugas Akhir menggunakan Algoritma Genetika

Objective this research is to automatically schedule student final assignments using genetic algorithms in the Automation Engineering Technology Study Program of the Manufacturing Polytechnic in Bandung. Genetic Algorithm (GA) is a heuristic method or a method of finding optimal values using the principles of evolution. GA is used as a solution search algorithm in this research. The solution was implemented into a program that can create a schedule automatically based on the limitations set by program users. Scheduling parameters that are focused on in this study are duplication or clash issues and category suitability between the final project and examiners. Based on these parameters the program can produce the optimal schedule with varying success rates depending on the ratio between the number of trial examiners and the number of examiners needed at one time, where a ratio above 2: 1 result in success above 90% for duplication cases, and the ratio is above 1.5: 1 for category conformance cases.

Pendeteksi Kehadiran menggunakan ESP32 untuk Sistem Pengunci Pintu Otomatis

The design of the detection system in this study using ESP32 module that includes Wi-Fi: 802.11 b / g / n and Bluetooth: v4.2 BR / EDR and Bluetooth Low Energy (BLE). In general, the automatic door lock system using a fingerprint or RFID card in its implementation, but this study using BLE which is a component of iBeacon which has a function as a result of the fingerprint and RFID card. ESP32 have a duty to control the door lock in order to open and lock the door using relays and solenoid system, in addition to the BLE on ESP32 serves to detect the presence of individuals where Bluetooth Device Address (BD_ADDR) smartwatch or individual gadget is already registered on ESP32. Based on the experimental results, the system can detect a user's presence smartwatch on the Received Signal Strength Indicator (RSSI), which is determined on the program was uploaded to ESP32. This system can also be developed in the future and applied to a variety of special purposes such as absenteeism, indoor mapping, and smart home.

Pengaruh Perubahan Dimensi Filter-Drier Dan Pipa Kapiler Terhadap Coefficient Of Performance (COP) Mesin Pendingin Kulkas 2 Pintu

COP on a cooling machine is used to reveal the performance of a cooling engine. To increase the COP value in the system, it can be done by changing the dimensions of the filter-drier and capillary pipes used. Therefore, this study was conducted to determine the effect of changing the dimensions of the filter-drier and capillary pipe on the COP and the consumption of electrical power produced by the 2-door refrigerator unit. The method used was an experimental method, namely by varying the filter drier and capillary tube dimensions of the 2-door refrigerator. Variations of filter driers used were filter driers with sizes 7 cm and 9 cm. While the capillary pipes used were 0.31 inches in diameter and 0.51 inches in diameter with a length of 200 cm and 250 cm respectively. The results obtained from this study indicate that the greatest COP value is obtained when using a 7 cm filter-drier and a capillary pipe with a diameter of 0.31 inches with a length of 200 cm, which is 2.80. The COP value also continues to decline as the size of the filter-drier and capillary pipes used increases.

SISTEM PEMANTAUAN DAN KONTROL OTOMATIS KUALITAS AIR BERBASIS INTERNET OF THINGS (IOT) MENGGUNAKAN PLATFORM NODE-RED UNTUK BUDIDAYA UDANG

Kualitas air dalam budidaya udang adalah faktor penting yang perlu diperhatikan. Sehingga kualitas air yang baik menjadi tolak ukur tingkat keberhasilan budidaya udang. Permasalahan utamanya adalah buruknya kualitas air selama masa pemeliharaan. Untuk mengatasi masalah tersebut, penelitian ini bertujuan menggunakan perangkat Internet of things (IoT) yang dapat memantau kondisi kualitas air dan melakukan tindakan pencegahan berupa perberitahuan dini dan kontrol otomatis pada tiap-tiap aktuator di kolam budidaya. Beberapa sensor yang digunakan seperti Dissolved Oxygen (DO), Hydrogen Potential (pH), Turbidity, Suhu air dan Ketinggian air (Sensor ultrasonic). Selanjutnya data kualitas air akan dikirimkan ke server (Node-Red Platform) menggunakan komunikasi protokol MQTT (Message Queue Telemetry Transport). Pengolahan data yang dilakukan di Server menggunakan metode IFTTT (If This Then That) dan menghasilkan keputusan berupa perintah (command set) untuk mengontrol aktuator pada Node kontrol aktuator. Dari hasil pengujian performa, delay yang terjadi pada pengiriman data dari publisher ke subscriber diperoleh rata-rata 260 ms dengan menggunakan publik Broker HIVEMQ. Sedangkan pada pengujian kontrol otomatis, grafik respon menunjukan adanya aksi yang dilakukan oleh alat kontrol aktuator setelah mendapatkan command set yang dihasilkan metode IFTTT pada platform Node-Red.

Analisis Kontrol Aliran Fluida Bervikositas Tinggi dengan Sensor Flow YF-S201 pada Otomatisasi Dispenser Minyak Goreng

The purpose of Automation system on the Hygenist Automatic Frying Oil Dispenser making is to assist the frying oil sellers or suppliers in measuring the oil accurately and minimize the frying oil contamination. The dispenser is designed using pump and flowsensor to measure the frying oil pumped out. Electric valve or faucet is used to prevent contamination of the oil as the substitute of manual faucet. This study is focused on designing and making automation system on the frying oil dispenser, measuring time and volume accuracy of dispenser. Dispensers can be moved, capable of accommodating 50 Kg of oil and have a choice of two quantities; 500ml and 250ml. As a result, flowsensor reading shows the same average frequency of 25 Hz and 35 Hz for filling 250 mL oil and 500 mL respectively. Time consumption for pumping 250 mL and 500 mL oil out from the dispenser is 8.85 s and 15,3 s respectively. Using delay program, the oil pumped out for 250 mL and 500 mL target volume need 5.75 s and 12 s delay time.

EFEK MEDAN ELEKTROMAGNET PADA MESIN BENSIN TERHADAP EMISI GAS BUANG DAN ENERGI PEMBAKARAN

The purpose of this study was to analyze the effects of electromagnetic fields on combustion quality, especially on gasoline engines. One of the indicators of good combustion quality was environmentally friendly exhaust emissions and relatively large combustion energy. This research uses an experimental method, with the independent variables magnetic field strength and fuel. The field strength used in this study consisted of 4 variations, namely 647 Gauss, 847 Gauss, 1068 Gauss and 1419 gauss, while the fuel used was E0 (premium 100% bioethanol 0%), E10 (premium 90% bioethanol 10%), E20 (premium 80% bioethanol 20%), and E30. (premium 70% bioethanol 30%). The parameters of the electromagnetic field strength and various types of fuel composition were used to test exhaust gas emissions and combustion energy (as the dependent variable) on the 125cc MIO gasoline motorbike in 2018.The result was that the levels of CO2 exhaust emissions increased by 35% and CO levels decreased by 71%, combustion energy increases in the range of 13-21%. The greater the electromagnetic field provided, the more environmentally friendly the exhaust emissions are and the greater the combustion energy.