Jurnal JEETech
Jurnal JEETech: Journal Of Electrical Engineering And Technology. Electrical Engineering. Journal of Darul Ulum University Jombang in collaboration with the Faculty of Engineering, Darul Ulum University Jombang with the Indonesian Electrical Engineering Higher Education Forum (FORTEI). Region VII. East Java. This journal contains research results in the fields of Power Engineering, Telecommunication Engineering, Computer Engineering, Control and Computer Systems, Electronics, Information Technology, Informatics, Data and Software Engineering, Biomedical Engineering. All submitted articles must report original, previously unpublished, experimental or theoretical research results that are not published and are being considered for publication elsewhere. Submissions must be made online through the JEETech submission site. Published twice a year in May and November p-ISSN: 2964-7320 (Print); e-ISSN: 2722-5321 (Online)
Articles
94 Documents
<![CDATA[Deteksi Penyakit Brown Eye Spot pada Daun Kopi Menggunakan Metode Euclidean Distance dan Hough Transform ]]>
<![CDATA[Ike Fibriani]]>;
<![CDATA[Widjonarko]]>;
<![CDATA[Catur Suko Sarwono]]>;
<![CDATA[Firecky Dwika]]>
<![CDATA[ Jurnal JEETech Vol. 1 No. 1 (2020): Nomor 1 May ]]>
Publisher : <![CDATA[Universitas Darul Ulum ]]>
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DOI: 10.48056/jeetech.v1i2.120
<![CDATA[Pengolahan citra digital memiliki manfaat yang bisa digunakan dalam lingkup yang beragam, salah satunya dalam lingkungan perkebunan kopi. Dengan memanfaatkan pengolahan citra, citra daun yang didapat dalam perkebunan kopi, bisa diketahui jenis kopi beserta penyakit yang diderita. Untuk mengetahui jenis daun akan menggunakan metode euclidean distance, dimana daun yang digunakan sebagai objek penelitian merupakan daun kopi robusta dan daun kopi arabika. Untuk penyakit pada daun kopi terdapat berbagai macam, namun penyakit yang digunakan sebagai objek penelitian hanyalah penyakit brown eye spot. Pendeteksian penyakit dilakukan menggunakan metode hough transform, dikarenakan metode ini dapat digunakan untuk mendeteksi lingkaran yang merupakan gejala dari penyakit brown eye spot. Tujuan dalam penelitian ini yaitu untuk menganalisa keefektifan dari metode yang digunakan, yang pertama yaitu tingkat akurasi euclidean distance untuk mendeteksi daun uji coba antara daun kopi arabika dan daun kopi robusta. Metode yang kedua menganalisa tingkat keefektifan tingkat akurasi dalam pendeteksian penyakit brown eye spot pada daun uji coba menggunakan hough transform. Uji coba dilakukan terhadap 7 daun kopi arabika dan 4 daun kopi robusta menggunakan Matlab R2017a, dimana hasil tidak terjadi kekeliruan terhadap pendeteksian terhadap daun uji coba, ketujuh daun kopi arabika dikenali sebagai daun kopi arabika, dan keempat daun kopi robusta dikenali sebagai daun kopi robusta. Pada metode kedua untuk pendeteksian penyakit brown eye spot pada daun uji coba didapatkan keakurasian pada daun arabika sebesar 55% dan untuk daun kopi robusta sebesar 50%.]]>
<![CDATA[Rancang Bangun Alat Pengaman Sepeda Motor Menggunakan GPS Berbasis IOT ]]>
<![CDATA[Hilal Indra Ramadhan, Hilal]]>
<![CDATA[ Jurnal JEETech Vol. 1 No. 2 (2020): Nomor 2 November ]]>
Publisher : <![CDATA[Universitas Darul Ulum ]]>
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DOI: 10.48056/jeetech.v1i2.8
<![CDATA[Perkembangan teknologi telah merambah ke berbagai bidang termasuk pada pengaman motor. Sistem penguncian standar pabrikan dinilai tidak cukup untuk melindungi kendaraan bermotor dari pencurian. Dibutuhkan kombinasi antara perangkat lunak dan perangkat keras dalam menciptakan system keamanan tambahan. Tujuan dari penelitian ini untuk merancang bangun alat Pengaman Sepeda Motor Menggunakan GPS Berbasis IoT. Sistem yang dirancang pada saat terjadi perampasan yang dapat mematikan mesin, membunyikan klakson, dan mendeteksi lokasi sepeda motor yang dikendalikan melalui smartphone dengan aplikasi Blynk. Rancang bangun alat menggunakan sensor optocoupler untuk mengirim notifikasi ke aplikasi Blynk pada saat motor sedang dicuri. Menggunakan sensor GPS Neo6mv2 sebagai sensor koordinat, menggunakan Mikrokontroler NodeMCU V3 sebagai pengolah data dan komunikasi dengan modem WiFi, lalu menggunakan modem WiFi merk Bolt sebagai penghubung ke jaringan internet, dan menggunakan Relay sebagai tombol yang dikendalikan lewat aplikasi Blynk untuk menyalakan atau mematikan mesin, klakson, dan lampu sein. Semua komponen membutuhkan supply tegangan sebesar 5V yang dihasilkan dari Accu motor 12V yang diturunkan jadi 5V dengan modul LM2596.]]>
<![CDATA[Pemodelan Nilai Pecahan Pada Bahasa Mesin ]]>
<![CDATA[Giovanni Dimas Prenata]]>
<![CDATA[ Jurnal JEETech Vol. 2 No. 1 (2021): Nomor 1 May ]]>
Publisher : <![CDATA[Universitas Darul Ulum ]]>
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DOI: 10.48056/jeetech.v2i1.147
<![CDATA[Nilai pecahan pada bahasa mesin tidak dapat diimplementasikan, dikarenakan bahasa mesin hanya mengenal bilangan biner. Untuk bisa mengimplentasikan nilai pecahan pada bahasa mesin, perlu pemodelan dan pemisalan. Setelah nilai pecahan dimodelkan dan dimisalkan, nilai tersebut diubah menjadi bilangan biner. Pada bilangan biner yang telah dimodelkan dan dimisalkan, dapat dilakukan semua operasi aritmatika. Untuk mengetahui nilai sebenarnya, maka nilai biner hasil operasi aritmatika perlu dikembalikan lagi kebentuk tanpa pemodelan dan pemisalan.]]>
<![CDATA[A Perbandingan Daya Listrik Panel Surya Menggunakan MPPT P&O terhadap MPPT Logika Fuzzy ]]>
<![CDATA[Hermawan, Indra Budi]]>;
<![CDATA[Annisa Harumwidiah]]>
<![CDATA[ Jurnal JEETech Vol. 2 No. 1 (2021): Nomor 1 May ]]>
Publisher : <![CDATA[Universitas Darul Ulum ]]>
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DOI: 10.48056/jeetech.v2i1.148
<![CDATA[The electricity generated by solar panels up and down is influenced by weather, panel angle to the sun, ambient temperature and so on. When there is a change in the radiation level, the electric current generated by the solar panel also changes, causing a non-conformity with the load characteristics. This result in the electrical power generated by the solar panel is not optimal. Maximum Power Point Tracker (MPPT) can solve this problem by tracking the changes of electric current generated by the solar panel. The tracking apparatus is then connected to a control device and a DC / DC converter that converts and adjusts the optimum voltage and current according to the load. This study compares the amount of electricity generated by solar panels by using the Perturb and Observe (P & O) MPPT algorithm against the Fuzzy Logic Controller MPPT (FL). This research will be conducted on 100 Watt Solar Power Plant (PLTS) module by using Microcontroller ATMega318 as the controller. The results obtained are MPPT Fuzzy Logic Controller (FL) produce 5.61% more power than the Perturb and Observe (P&O) MPPT algorithm.]]>
<![CDATA[Penggunaan Algoritma Color-Based Filtering Sebagai Pendeteksi Nominal Pada Uang Kertas ]]>
<![CDATA[Anisa Harumwidiah]]>;
<![CDATA[Dewantoro, Totok]]>;
<![CDATA[Lince Markis]]>;
<![CDATA[Dedi Wahyu Ashari]]>
<![CDATA[ Jurnal JEETech Vol. 2 No. 1 (2021): Nomor 1 May ]]>
Publisher : <![CDATA[Universitas Darul Ulum ]]>
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DOI: 10.48056/jeetech.v2i1.149
<![CDATA[As a legal tender, banknotes have several drawbacks in terms of their use. for people with visual impairments they have, it is very likely that they will be confused, misplaced, and even some ignorant people take advantage of their weaknesses in using the money. Based on this problem, in this paper we propose to make a banknote detector with sound output. The method used for the nominal identification process is the color based filtering algorithm using the Pixy2 CMUcam5 camera and Arduino as the data processor. Tests were carried out on 1000, 2000, 5000, 10000, 20000 and 50000 banknotes. From the test results, it was found that the success rate was 90% with the optimal distance for the camera scan process being 7 to 10 cm in an average time of about 5.7 seconds.]]>
<![CDATA[Rancang Bangun Sepeda Listrik 250 Watt Dengan Mengukur Kecepatan Dan Daya Baterai ]]>
<![CDATA[Miftachul Ulum]]>;
<![CDATA[Mutiara Hikmah]]>;
<![CDATA[Achmad Fiqhi Ibaidillah]]>;
<![CDATA[Kunto Aji Wibisono]]>
<![CDATA[ Jurnal JEETech Vol. 2 No. 1 (2021): Nomor 1 May ]]>
Publisher : <![CDATA[Universitas Darul Ulum ]]>
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DOI: 10.48056/jeetech.v2i1.150
<![CDATA[Electric bicycles are one of many vehicles with alternative fuels. This electric bike uses electric power as its power source. Whose electrical energy is converted into motion energy. To convert that electrical energy into motion energy is needed which is called an electric dynamo. The electric dynamo here becomes an engine core on an electric bike. The performance of electric bicycles is measured based on high power efficiency, low energy consumption levels and stable electric bicycle components in their use. To monitor the performance, a speed and battery power scrolling system was designed on a 250W electric bike. An electric motorcycle is a type of vehicle consisting of brushless direct current (BLDC) to move the wheel, controller as energy flow regulator on BLDC, and battery as a power source. The main parts of this monitoring system include two 12 volt batteries in the series, controller, BLDC, throttle, proximity sensor, liquid crystal display (LCD). Throttle works as a BLDC speed controller. DC power meter as a measuring detector for the amount of electric current, electrical voltage, electrical energy, and electrical power displayed on the LCD.]]>
<![CDATA[Perancangan Prototype Mesin Pengayak Pasir Semi Otomatis Menggunakan Photovoltaic ]]>
<![CDATA[Rue, Dionisia]]>;
<![CDATA[Irrine Budi Sulistiawati]]>;
<![CDATA[Ni Putu Agustini]]>
<![CDATA[ Jurnal JEETech Vol. 2 No. 1 (2021): Nomor 1 May ]]>
Publisher : <![CDATA[Universitas Darul Ulum ]]>
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DOI: 10.48056/jeetech.v2i1.152
<![CDATA[The sand sieving system is generally still done manually which requires full human power for the sieving process. This is quite time consuming and the resulting fine sand mass is far from what is required for a construction project. Therefore the author made the idea of designing a sand sieving machine that can be applied anywhere. This machine uses a driving system of a Brushless Direct Current electric motor with a capacity of 350W as the driving motor. Brushless Direct Current Motor is used because it has the advantage of a large starting torque, higher speed because it does not use a brush. As a source of electricity, new renewable energy solar panels with a capacity of 400Wp are used which are more environmentally friendly and efficient. This machine works when the solar panels supply a power source to the driving motor and then transmitted by the chain and gear to the sieve tube for the sieving process. This machine has a faster sand sieving process than manual sieving and the type of motor used is more efficient.]]>
<![CDATA[Rancang Bangun Alat Pendeteksi Kendaraan Dari Arah Berlawanan Pada Tikungan Tajam Berbasis Arduino UNO ]]>
<![CDATA[Ayuni Finda Rika]]>;
<![CDATA[Nuzul Hikmah]]>
<![CDATA[ Jurnal JEETech Vol. 2 No. 1 (2021): Nomor 1 May ]]>
Publisher : <![CDATA[Universitas Darul Ulum ]]>
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DOI: 10.48056/jeetech.v2i1.158
<![CDATA[A sharp bend is a bend that has an acute angle with the level of difficulty when the vehicle crosses the road. In sharp turns frequent vehicle accidents occur. Accidents are caused by vehicles traveling at high speeds when they will cross the bend in the road. In addition, the driver also wants to overtake the vehicle when going through the bend. By making this warning system, it is expected to reduce accidents on the road bends. This tool can detect the presence of a vehicle and will give a warning in the form of an indicator light that is controlled by the Arduino UNO microcontroller using an Ultrasonic sensor and will light up if within 10 m before crossing the road bend there is a vehicle that will pass]]>
<![CDATA[Pemantauan Suhu Air Pada Sistem Tanaman Hidroponik Menggunakan Sensor DS18B20 Waterproof ]]>
<![CDATA[Wahyu S J Saputra]]>;
<![CDATA[Faisal Muttaqin]]>
<![CDATA[ Jurnal JEETech Vol. 2 No. 2 (2021): Nomor 2 November ]]>
Publisher : <![CDATA[Universitas Darul Ulum ]]>
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DOI: 10.48056/jeetech.v2i2.165
<![CDATA[Hydroponics is a method of growing plants without using soil media. Some vegetables such as spinach are more suitable to be planted during the rainy season with a cool atmosphere, and some other vegetable crops have different temperature requirements so that environmental temperature monitoring and planting media are very important in the hydroponic method of planting. Temperature is a condition that can be measured using a temperature measuring device called a thermometer. The DS18B20 sensor is one of the sensors that can be used to measure water temperature. In this study, the LCD Matrix which has been connected to Arduino displays data from temperature sensors installed at several measurement points, namely on the storage tube at the bottom and surface and in areas close to the planting media. The temperature generated by the system is then validated using a mercury and alcohol thermometer. The use of a microcontroller can help store temperature changes from time to time and can be displayed again. This makes temperature monitoring activities more effective and efficient.]]>
<![CDATA[Sun Position Forecasting Menggunakan Metode RNN – LSTM Sebagai Referensi Pengendalian Daya Solar Cell ]]>
<![CDATA[Eros Fikri Syahram]]>
<![CDATA[ Jurnal JEETech Vol. 2 No. 2 (2021): Nomor 2 November ]]>
Publisher : <![CDATA[Universitas Darul Ulum ]]>
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DOI: 10.48056/jeetech.v2i2.169
<![CDATA[Solar energy is used as electrical energy for daily life by using solar cell. There are several models for maximizing the absorption of solar cell power by using reflectors and solar tracking. Reflector focuses sunlight on the solar cell to get maximum light. Solar tracking real-time tracking the sun by moving two motors and sensors to read the direction of the sun's angle. Both have the disadvantage of tracking the sun continuously. So it is necessary to optimize the system to determine the tilt angle of the actuator and be able to streamline the intensity of sunlight that can be absorbed by solar cells with the identification system that can be done in realtime or directly to minimize the occurrence of power wastage. Prediction is one of the most important elements for decision-makers of the problems that occur above. In this paper, the method used in predicting the sun's angle is by using the Recurrent Neural Network (RNN) method which has a Long-Short Term Memory (LSTM) structure in the RNN system. In this reseacrh, the data used to predict the sun angle from the sunscalc.org site in the area of the University of Muhammadiyah Malang campus 3 with a period of one year. Testing with the RNN-LSTM structure is done with two different prediction models, namely weekly, monthly, and annual data for daily data results, and hourly data for daily data for one week. The test results on weekly data detect Root Mean Square Error of 0.12%, the monthly data is 0.1% and the annual data is 0.24%. The monthly data model has the fewest error values, so predictive data has a high degree of accuracy.]]>
