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Nur Yanti
Politeknik Negeri Balikpapan
Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Public Health Social Sciences

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Neural Network Application For The Analysis Of The Nutrition And Environment Effect To Microbial Growth Rate On Fermented Soybean Patty (Tempe) Fermentation Nur Yanti; Fathur Zaini Rachman
Jurnal Teknologi Terpadu Vol 4, No 2 (2016): JTT ( Jurnal Teknologi Terpadu )
Publisher : Pusat Penelitian dan Pengabdian Kepada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32487/jtt.v4i2.171

Abstract

The problems that still often faced by the industry in the processing of soybeans into tempe today is the lengthy process of fermentation is about 72 hours. The Long of fermentation will certainly slow down the productivity tempe. The long fermentation process is influenced by several factors such as the growth of microbial as microorganisms that do fermentation activity. The growth rate of microbes in the fermentation process is influenced by the content of the nutrient or nutrients that support the microbes can multiply rapidly perform cell division. In addition to nutrients, environmental factors such as acidity and temperature also affects to the growth rate of microbes. By applying Neural Network (Artificial Neural Networks), can produce a proper analysis to take into account the adequacy of nutrients, temperature stability and pH which accelerates the growth of tempe mold, so the fermentation process will go faster and the quality of tempe like the flavor and the aroma produced is better. The method that used is the combination method of qualitative and quantitative. The results of this study are the output data analysis results using a neural network to identify the composition of the nutrient content, temperature and pH is good and right for the fermentation process. The learning process of the neural network generates output data with high accuracy, namely with 2-4-1 architecture, learning rate 0:02, MSE 0.000999 <target error at epoch 315 0001 for nutrient content analysis. As for the temperature and pH stability analysis, learning outcomes network architecture yields 2-3-1, with learning rate 0:02, MSE 0.000986 <target error at epoch 295. 0001 performance results for the performance of the neural network is better than other architectures.
Implementasi Programable Logic Control Dan Wonderware Intouch Untuk Otomasi Smart Home Sarifuddin Sarifuddin; Nur Yanti
Jurnal Teknologi Terpadu Vol 2, No 1 (2014): JTT ( Jurnal Teknologi Terpadu )
Publisher : Pusat Penelitian dan Pengabdian Kepada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32487/jtt.v2i1.41

Abstract

Abstract The development of technology in the field of automation today, allows humans to create an automatic control system that is monitored in order to provide all the comfort, safety, security and energy savings in the home. it requires a control system programmed through a computer that controls almost all of the equipments in home. With smart home control center using a PLC (Programmable Logic Control) Omron CPM1A 30 CDR. This has a smart home control lighting system using LEDs for lighting inside and outside home, security systems function in the accident of theft by using magnetic door sensor and PIR with alarm indication, then to the security system of a gas leak using MQ6 used in the accident of a gas leak especially LPG gas with shutdown output system that has function for the security in home, Smart home automation system is only using a sensor LDR when dark / night light automatically turns on terrace home and the smart socket to control appliances in the smart home using a miniature fan and TV. This control can be done with dual systems that by manual system using deep switch and the remote system using the SCADA HMI (Human Machine Interface). HMI here is using Wonderware Intouch software that has functions as a liaison between the human (operator) with a smart home appliance via a computer or smart Phone. By using smart home system is capable of providing many benefits and advantages to the home owner in the future in terms of energy, cost and effort.Keywords : Smart Home, Programable Logic Control, Wonderware Intouch AbstrakPerkembangan teknologi dalam bidang otomasi saat ini, memungkinkan manusia untuk menciptakan suatu sistem kontrol otomatis yang termonitor guna memberikan segala kenyamanan, keselamatan, keamanan dan penghematan energi didalam suatu rumah. Untuk itu dibutuhkan sistem kontrol yang terprogram melalui sebuah komputer yang mengendalikan hampir semua perlengkapan dan perlatan rumah. Dengan Pusat pengontrolan smart home menggunakan PLC (Programmable Logic Control) Omron CPM1A 30 CDR. Dalam smart home ini terdapat pengontrolan sistem lighting menggunakan LED untuk penerangan di dalam dan luar rumah, sistem keamanan berfungsi apabila terjadi kemalingan dengan mengunakan sensor magnetic door dan PIR dengan indikasi alarm, kemudian untuk sistem keamanan dari kebocoran gas menggunakan MQ6 yang digunakan jika terjadi kebocoran gas khususnya gas LPG dengan output shutdown system yang berfungsi untuk mengamankan suatu rumah, sistem otomasi dalam smart home ini hanya mengunakan sensor LDR ketika gelap/malam hari lampu teras rumah menyala secara otomatis dan smart socket untuk kontrol peralatan rumah dalam smart home ini mengunakan miniature kipas dan TV. Pengontrolan ini dapat dilakukan dengan dual sistem yaitu dengan sistem manual mengunakan deep switch dan sistem remote dengan mengunakan SCADA HMI (Human Machine Interface). HMI disini mengunakan software Wonderware Intouch yang berfungsi sebagai penghubung antara manusia (Operator) dengan alat smart home melalui  sebuah computer atau smart Phone. Dengan mengunakan sistem smart home ini mampu memberikan banyak manfaat dan keuntungan kepada pemilik rumah kedepanya dari segi energi, biaya dan tenaga.Kata kunci : Smart Home, Programable Logic Control, Wonderware Intouch
Implementasi Jaringan Syaraf Tiruan Untuk Menguji Kualitas Penyaringan Air Berbasis Arduino Nur Yanti
Jurnal Teknologi Terpadu Vol 9, No 2 (2021): JTT ( Jurnal Teknologi Terpadu)
Publisher : Pusat Penelitian dan Pengabdian Kepada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32487/jtt.v9i2.1242

Abstract

Pada era modern seperti sekarang ini, perkembangan teknologi sudah mencakup tidak hanya pada teknologi itu sendiri, melainkan juga mencakup bidang lainnya seperti lingkungan, dan lain-lain. Basis pemroses data yang digunakan adalah melalui Arduino dan Parameter yang digunakan adalah berdasarkan PERMENKES Nomor 32 Tahun 2017. Berdasarkan hasil pelatihan jaringan yang dilakukan dengan aplikasi MATLAB, jaringan mengenal pola data 97.61% yang dibuktikan dengan perbandingan target dengan keluaran jaringan. Air yang dianggap layak akan memunculkan indikator lampu berwarna hijau dan air yang dianggap tidak layak akan memunculkan indikator lampu berwarna merah disertai dengan karakter yang muncul pada LCD. Metode penyaringan 2 tahap yang telah dibuat berhasil mengurangi tingkat kekeruhan sebesar 38.39 NTU atau 0.08%, dan dapat menetralkan tingkat keasaman air dengan angka rata-rata 7.02 pH per sampel penyaringan.
Portable Baby Incubator Based On Fuzzy Logic Qory Hidayati; Nur Yanti; Nurwahidah Jamal; Mey Adisaputra
Journal of Telematics and Informatics Vol 8, No 1 (2020)
Publisher : Universitas Islam Sultan Agung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/jti.v8i1.

Abstract

The Global Action Report on Preterm Birth (2012) The United Nations Agency says, 15 million babies are born prematurely every year worldwide. Among them, more than one million babies die from complications due to premature birth. In 2010, Indonesia ranked fifth in the world with the highest number of premature babies in the world. The high birth rate for premature babies and the limited ability of parents to access health facilities to care for premature babies. The baby incubator serves to maintain a stable internal temperature and humidity so that it can help babies born prematurely to survive. This study aims to design and implement portable baby incubator control using fuzzy logic which consists of two fuzzy modules: based on Temperature and humidity. This baby incubator control uses fuzzy logic designed so that the system can display information on the baby's incubator temperature and humidity conditions, the baby's weight and the baby's heart rate without opening the incubator. The temperature in the system to be designed ranges between 36 ℃ -37 ℃, and the humidity is between 40% RH-60% RH. This incubator has a measurement and regulation system using temperature and humidity, namely the DHT22 sensor, the AC Dimmer Module to control PWM (Pulse Width Modulation), the acuator in the form of AC 220V incandescent lamps with a power of 60W and Arduino uno as a controlling microcontroller and an artificial fuzzy logic system Sugeno control method with a setting point value of 37 ℃ to maintain the stability of the temperature in the incubator in accordance with what is needed by premature babies. With the setting point at 37 ℃ the temperature in the baby incubator will survive in the range 37 ℃ -38 ℃.
Pengendalian Kestabilan Terbang Robot Penjelajah Udara Dengan Metode Hybrid PID-FUZZY Nur Yanti; Fathur Zaini Rachman; Suhaedi Suhaedi
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 5 No 6: Desember 2018
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (181.771 KB) | DOI: 10.25126/jtiik.2018561134

Abstract

Abstrak Pengembangan robot dengan sistem kecerdasan buatan memiliki keunggulan, seperti pada robot penjelajah udara dimana pemanfaatannya dapat digunakan sebagai robot pemadam api pada kebakaran hutan, pengambilan gambar. Robot penjelajah udara beroperasi menggunakan empat rotor dan empat buah baling-baling. Karena kombinasi inilah sistem mampu mengendalikan gaya angkat pesawat,  melalui kondisi torsi yang seimbang. Robot mampu melakukan pitch, yaw, dan roll menggunakan kendali empat rotor. Ketika robot penjelajah udara melakukan gerakan manuver, gerakan melayang (hovering) memerlukan kestabilan terbang, sehingga robot penjelajah udara ini dirancang dengan menggunakan sistem kendali hibrid PID-Fuzzy agar dihasilkan kestabilan terbang sesuai posisi ketinggian tertentu dan proses pendaratan. Metode penelitian meliputi perancangan rangkaian dan alat, pembuatan program untuk remote dan motor brushless, implementasi program pada kontroler, serta pengujian alat. Dengan kendali hibrid PID-Fuzzy diharapkan mengatasi berbagai masalah kendali saat terbang dengan mengubah nilai gain Kp, Ki, dan Kd dan mampu mengatasi sistem kendali robot yang nonlinier, sehingga dihasilkan kestabilan terbang robot yang baik sesuai tingkat ketinggian terbang dan saat pendaratan.    Abstract  The development of robots with artificial intelligence systems has advantages, such as in air explorers robots where their utilization can be used as fire fighting robots in forest fires, shooting. The air explorer robot operates using four rotor and four propellers. Because of this combination the system is able to control the lifting force of the aircraft, through a balanced torque conditions. The robot is able to pitch, yaw, and roll using the four rotor controls. When the air-cruise robot performs a maneuvering motion, hovering requires flying stability, so the air explorer robot is designed using a PID-Fuzzy hybrid control system to generate flying stability in a certain altitude position and landing process. Research methods include circuit design and tools, programming for remote and brushless motors, program implementation on controllers, and tool testing. With PID-Fuzzy hybrid control is expected to overcome the problems of control when flying by changing the gain value Kp, Ki, and Kd and able to overcome the nonlinear robot control system, resulting in good robot flying stability according to the level of flying altitude and when landing.
Jaringan Syaraf Tiruan Untuk Pengenalan Citra Sidik Jari Pada Smart Home Berbasis MYSQL Nur Yanti; Fathur Zaini Rachman; Nurwahidah Jamal; Era Purwanto; Fachrurozy Fachrurozy
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 5 No 5: Oktober 2018
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (652.279 KB) | DOI: 10.25126/jtiik.2018551032

Abstract

 Sistem keamanan yang bertujuan sebagai sistem monitoring pada smart home seperti memonitoring pengguna laboratorium, perpustakaan, atau ruangan penyimpanan dan peminjaman peralatan praktek di program studi suatu kampus, ruang penyimpanan senjata, hingga rumah tinggal, memerlukan sekuritas yang handal untuk memudahkan identifikasi pengguna ruangan atau pencegahan dari tindak pencurian, maka dirancang sistem monitoring melalui pengenalan citra sidik jari menggunakan sensor ZFM60, jaringan syaraf tiruan dan MySQL. Tujuannya agar di dapat pola yang relevan dari citra dan mengeliminasi informasi atau variabel yang tidak relevan. Metode yang digunakan yaitu experimental, terdiri dari pengumpulan data sidik jari, perancangan sistem pengolahan citra, pembuatan dan pengujian hardware dan software, serta implementasi sistem. Hasil proses pengenalan atau klarifikasi citra sidik jari melalui GUI Matlab, nilai error hasil pengolahan dan pelatihan citra sidik jari dengan jaringan syaraf tiruan, digunakan sebagai ciri citra dan disimpan sebagai data base pada MySQL, kemudian dibandingkan dengan nilai error citra sidik jari baru yang di klarifikasi. Nilai citra yang dapat dikenali berada diantara -0,0005 hingga 0,0005, diluar batas tersebut merupakan citra yang tidak dikenali. Selisih (nilai error) antara ciri citra yang tersimpan pada data base dan ciri citra yang diklarifikasi menghasilkan nilai error yang kecil yaitu < 0.0005, menunjukkan jaringan syaraf tiruan backpropagation handal diimplementasikan pada pengenalan sidik jari untuk melatih pola citra dari sidik jari. Konfigurasi jaringan yaitu maksimal epoch = 3000, learning rate = 1, target error = 0.1, hidden layer = 17. Pelatihan jaringan syaraf tiruan pada konfigurasi tersebut menghasilkan nilai error terkecil dari ciri citra sebesar 0.0000085. Abstract The security system that aims as a monitoring system in smart home such as monitoring laboratory users, libraries, or storage rooms and borrowing practical equipment in the study program of a campus, weapons storage room, to a residence, requires reliable securities to facilitate identification of room users or prevention from theft, it is designed a monitoring system through fingerprint image recognition using ZFM60 sensors, artificial neural networks and MySQL. The goal is to get relevant patterns from the image and eliminate irrelevant information or variables. The method used is experimental, consisting of fingerprint data collection, image processing system design, hardware and software manufacturing and testing, and system implementation. The result of the process of recognition or clarification of fingerprint images through the Matlab GUI, the error value of processing and training of fingerprint images with artificial neural networks, is used as a feature of the image and stored as a data base on MySQL, then compared with the error value of the new fingerprint image that is clarified. The recognizable image value is between -0,0005 to 0,0005, beyond this limit is an unrecognized image. The difference (error value) between the characteristics of the image stored in the data base and the clarified image feature produces a small error value of <0.0005, indicating a reliable backpropagation artificial neural network is implemented in fingerprint recognition to train the image pattern of fingerprints. Network configuration is maximum epoch = 3000, learning rate = 1, target error = 0.1, hidden layer = 17. Artificial neural network training in the configuration produces the smallest error value of the image characteristics of 0.0000085.
Implementasi Jaringan Sensor Nirkabel Zigbee Menggunakan Topologi Mesh Pada Pemantauan Dan Kendali Perangkat Ruang Fathur Zaini Rachman; Armin Armin; Nur Yanti; Qory Hidayati
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 4 No 3: September 2017
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (802.12 KB) | DOI: 10.25126/jtiik.201743438

Abstract

AbstrakSistem pemantau dan kendali memiliki fungsi untuk merekap data dan mengakses perangkat ruangan yang terpasang pada setiap titik pemasangan. Komunikasi yang digunakan adalah komunikasi nirkabel ZigBee dengan menggunakan topologi mesh. Coordinator merupakan pusat data yang  terhubung langsung ke komputer,  dan hasilnya  ditampilkan dalam bentuk HMI, sehingga seorang operator dapat dengan mudah memantau dan mengendalikan perangkat-perangkat yang terpasang pada ruangan. Perangkat ruangan terdiri dari sensor diantaranya PIR, arus, pendeteksi asap dan sidik jari, yang kesemuannya terhubung dengan arduino yang bertugas sebagai pemroses data untuk membentuk protokol-protokol yang akan dikirim dari titik end device ke coordinator. Hasil pengujian jarak pengiriman antara titik pemasangan ZigBee maksimal 93 meter tanpa halangan dan 30 meter dengan halangan. Adapun throughput pengiriman data dari end device dan simulator ke titik coordinator akan semakin besar jika delay diperkecil dan paket data diperbesar dalam setiap pengirimannya. Hasil dari  packet loss pada pengujian didapatkan 4,94 %, ini dikarenakan faktor floating  yang terjadi pada arduino.Kata kunci: ZigBee, topologi mesh, throughput, packet lossAbstractThe monitoring and control system has the function of recording data and accessing the installed room equipment. The communication used is ZigBee wireless communication with mesh topology. The coordinator is a data center connected directly to the computer, and the results are displayed in the form of HMI, so that an operator can easily monitor and control the devices installed in the room. The room equipment consists of sensors such as PIR, current, smoke detector and fingerprint, all of which are connected to the arduino that serves as data processors in the form of protocols to be sent from the end device point to the coordinator. The result of test, delivery distance between ZigBee installation point is 93 meters away without obstruction and 30 meter with obstacle. The data transmission throughput from the end device and simulator to the coordinator point will be greater if the delay is reduced and the data packet enlarged in each delivery. The result of packet loss in the test is 4.94%, this is due to floating factor.Keywords: ZigBee, topologi mesh, throughput, packet loss
Aplikasi Jaringan Syaraf Tiruan Untuk Clustering Polutan Kimia Penyebab Pencemaran Udara Nur Yanti; maria ulfah
Jurnal Teknologi Terpadu Vol 3, No 2 (2015): JTT ( Jurnal Teknologi Terpadu )
Publisher : Pusat Penelitian dan Pengabdian Kepada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32487/jtt.v3i2.82

Abstract

AbstractThe problemof air pollutionis a serious problemfaced bybig citiesinIndonesiaeveninthe world. Air pollutioncancome froma wide range,among others: motor vehicle fumes, factory smoke, industrieswaste, household waste, etc.The current airpollutionhas reachedalarminglevels, as supportedby the development ofthe industrial world, increasing human population, the greater the resultingenvironmental pollution. Decreasedair qualitydue tothe content ofchemical substancesaspollutantshave negative impacts onhuman lifethat ishealthyenvironmental degradation, health problems, toserious environmental damage.Increasedair pollutionasthe negative impactcausedby pollutants, pollutantsrequiredclusteringbased on the loadof pollutantscontaininghazardouschemicalsareproduced. Groupingpollutantsby usingArtificial Neural Network(ANN). Clusteringchemical pollutantsusing artificial neural networkmethodLearning Vector Quantization(LVQ) produce0.0011719learning rate, with a targeterror0001epochreached onthe 10th.Clusteringis generatedin the form ofareain the city ofBalikpapanas a regionalclusterbasedchemical pollutantscauseair pollutionandthe negative impact ofthese pollutants, as well asusedasinformationforregional development policiesin particular, in order totake appropriate measuresto preventandcope withair pollution.Keywords: Artificial Neural Networks, LVQ, ChemicalPollutants, Air Pollution. AbstrakMasalah pencemaran udara merupakan masalah serius yang dihadapi oleh kota-kota besar di Indonesia bahkan di dunia. Pencemaran udara dapat bersumber dari berbagai macam, antara lain : asap kendaraan bermotor, asap pabrik, limbah indutri, limbah rumah tangga dan sebagainya. Pencemaran udara saat ini sudah mencapai tingkat mengkhawatirkan, karena didukung oleh perkembangan dunia industri, meningkatnya populasi manusia mengakibatkan semakin besar pula terjadinya pencemaran lingkungan. Menurunnya kualitas udara akibat kandungan zat-zat kimia sebagai polutan membawa dampak negatif bagi kehidupan manusia yaitu menurunnya kualitas lingkungan sehat, gangguan kesehatan, hingga kerusakan lingkungan yang serius. Meningkatnya pencemaran udara sebagai dampak negatif yang disebabkan oleh polutan, diperlukan clustering polutan berdasarkan beban polutan yang mengandung zat-zat kimia berbahaya yang dihasilkan. Pengelompokan polutan dengan menggunakan Jaringan Syaraf Tiruan (JST). Clustering polutan kimia menggunakan Jaringan Syaraf Tiruan dengan metode Learning Vector Quantization (LVQ) menghasilkan learning rate 0.0011719, dengan target error 0.001 tercapai pada epoch ke-10. Clustering yang dihasilkan berupa daerah di wilyah Kota Balikpapan sebagai daerah cluster berdasarkan polutan kimia penyebab pencemaran udara dan dampak negatif akibat polutan tersebut, serta digunakan sebagai informasi untuk kebijakan pembangunan daerah khususnya, agar mengambil langkah yang tepat dalam mencegah dan mengatasi pencemaran udara.Kata Kunci : Jaringan Syaraf Tiruan, LVQ, Polutan Kimia, Pencemaran Udara.
Implementation of Fuzzy Logic in Fish Dryer Design Nur Yanti; Taufik Nur; Randis Randis
ILKOM Jurnal Ilmiah Vol 14, No 1 (2022)
Publisher : Teknik Informatika Fakultas Ilmu Komputer Univeristas Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The fish drying process aims to preserve fish, so as to reduce losses due to the spoilage process. There is sunlight, the drying process does not experience obstacles, however if it is raining, it will take a longer time, and give a smell effect that disturbs the surrounding environment for a relatively long time. Fish dryer designed to work automatically, aims to speed up drying time using fuzzy logic, thus minimizing rot and air pollution due to the smell of the fish drying process. The design of the tool used experimental methods through literature study as a source of study, planning and manufacturing of fish drying equipment consists of hardware using the Arduino Mega 2560 microcontroller, temperature sensor of DHT 22, load cell sensor, humidity sensor, fan, heating element and LCD and software using the Fuzzy Mamdani method. The results obtained are the weight of the fish that has undergone a drying process using an automatic drying device, namely 500 grams, indicating that the drying process is 50% of the initial weight of 1000 grams, with a drying time of 4.48 hours, while drying time by drying or manually takes 45 hours. Shows the control system using fuzzy logic on fish drying equipment,  speed up the drying time about 10 hours faster than the drying time by drying in the sun.  So that it can increase the amount of dry fish production, reduce the smell in the environment around the drying, because the fish are in the dryer closed. 
Intelligent Control System of Fire-Extinguishing and Obstacle-Avoiding Hexapod Robot Qory Hidayati; Fathur Zaini Rachman; Nur Yanti
Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Vol 3, No 1, February-2018
Publisher : Universitas Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (599.267 KB) | DOI: 10.22219/kinetik.v3i1.470

Abstract

This hexapod fire extinguisher robot is constructed based on technological developments evolving very rapidly, especially in the field of robotics technology. The hexapod robot has become a big concern in the development of robotics technology with many existing contests of hexapod robot. This hexapod fire extinguisher robot is designed based on Fuzzy Mamdani Logic. The navigation of fire extinguisher hexapod robot is based on distance detection with ultrasonic sensor determining the movement of robot’s legs utilizing Fuzzy Logic. A fire extinguisher hexapod robot will explore a tunnel arena having several rooms created for the robot to explore. This hexapod robot uses Arduino as a microcontroller and uses 18 servo motors in which each foot requires 3 servo motors. Moreover, good navigation will be aimed by utilizing Fuzzy Logic in the hexapod robot design. The application of many rules on Fuzzy Logic makes the better navigation; furthermore, the results present the ultrasonic sensor having an average error of 1.256%, the Fuzzy Logic applied showing 0% error, and the overall success rate presenting approximately 80%.
Co-Authors Aditya Kurniawan Armin Armin Era Purwanto Fachrurozy Fachrurozy Fathur Zaini Rachman Hadiyanto Hadiyanto Ihsan Ihsan Lesmideyarti, Dwi Maria Ulfah Mey Adisaputra Novita Novita Nurwahidah Jamal Nurwahidah Jamal Nurwahidah Jamal Qory Hidayati Randis Randis Sarifuddin Sarifuddin Sri Susilawati Islam Suhaedi Suhaedi Suhaedi Taufik Nur