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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 ℃.
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%.
Desain Model dan Simulasi PLC-Mikrokontroler sebagai Modul Pembelajaran Berbasis PLC Qory Hidayati; Fathur Zaini Rachman; Nur Yanti; Nurwahidah Jamal; Suhaedi Suhaedi
JTERA (Jurnal Teknologi Rekayasa) Vol 2, No 2: December 2017
Publisher : Politeknik Sukabumi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31544/jtera.v2.i2.2017.73-82

Abstract

Programmable Logic Controller (PLC) merupakan suatu piranti yang dibuat sebagai pengganti kumpulan relai-relai mekanik yang digunakan dalam sistem kontrol. PLC berkerja dengan cara membaca instruksi-instruksi dari masukannya. Karena PLC pada umumnya memiliki harga yang cukup mahal dan hanya beberapa orang yang dapat mempelajarinya, maka dibuatlah PLC trainer. PLC trainer dirancang menggunakan mikrokontroler Arduino Uno, modul input (berupa: toggle switch, push button, dan limit switch), dan modul output (berupa: LED, seven segment, motor DC, dan buzzer). PLC trainer juga dilengkapi prototype lampu lalu lintas sebagai modul output simulasi lampu lalu lintas empat arah. PLC trainer memanfaatkan LDmicro untuk membuat pemrograman ladder diagram dengan instruksi-instruksi sesuai dengan keinginan programmer dan menggunakan software Xloader untuk upload program ke Arduino Uno. Dari hasil pengujian diperoleh bahwa mikrokontroler Arduino Uno dapat dimanfaatkan sebagai PLC trainer untuk modul pembelajaran.
Rancang Bangun Website Sekolah Untuk Peningkatan Kapasitas Sekolah Dasar Negeri Menjadi Sekolah Adiwiyata, Terakreditasi dan Role Model Di Balikpapan Tengah Ihsan Ihsan; Nur Yanti; Dwi Lesmideyarti
Jurnal Sibermas (Sinergi Pemberdayaan Masyarakat) Vol 10, No 3 (2021): Jurnal Sibermas (Sinergi Bersama Masyarakat)
Publisher : Univeristas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37905/sibermas.v10i3.11683

Abstract

The world of education, from elementary school to university levels, is required to be able to adapt to the progress of science and technology that is growing so rapidly, especially in the field of information. And the current state of the Covid-19 pandemic requires every institution to help reduce the number of its spread. One of the lines of society affected by COVID-19 is schools, especially elementary schools that do not yet have school website facilities as a medium of information to the public. In this community service activity, the implementing team designed the website for the SDN 020 Central Balikpapan school as a partner. The problems faced by partners are the location of schools that are not strategically located in the Central Balikpapan area, not having informative media for various aspects of interest, the existence of an online PPDB policy from the Education Office to suppress the spread of Covid19, To overcome these problems, SDN 020 Central Balikpapan must have websites. The benefits of online PPDB activities can be carried out so that parents do not need to go to school during registration, can meet the requirements as an Adiwiyata school, and can facilitate the achievement of school accreditation. The method of implementing community service activities by the team consists of building communication with partners, designing school websites, providing training on the use of websites in the form of filling out content and managing databases, implementing websites in schools, socializing school websites to the community, maintaining and repairing websites after implementation. This series of community service activities is planned for a maximum of 8 months. The service activity took place successfully and could help school operators in data processing and selecting prospective students easily and quickly
SISTEM PENDETEKSI DEHIDRASI DAN SUHU URIN BERBASIS FUZZY LOGIC PADA KLOSET BERDIRI Aditya Kurniawan; Hadiyanto; Suhaedi; Nur Yanti; Fathur Zaini Rachman
PROSIDING SEMINASTIKA Vol 2 No 1 (2019): 2nd SEMINASTIKA 2019
Publisher : Universitas Mulia

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

Abstract

Tujuan penelitian ini adalah mengukur parameter-parameter untuk membandingkan tingkatan dehidrasi dari warna dan kadar amonia pada urin manusia serta suhu urin yang dijadikan indikasi jika terkena infeksi saluran. Penggunaan parameter urin sebagai obyek penelitian dikarenakan kondisi urin mencerminkan kondisi cairan yang ada pada tubuh manusia. Proses penentuan tingkatan dehidrasi melalui warna diperoleh dari nilai hasil pembacaan sensor warna TCS3200 yang berfungsi untuk membaca nilai Red, Green dan Blue, kemudian nilai RGB akan digunakan sebagai parameter proses oleh mikrokontroler Arduino yang menggunakan metode fuzzy logic sugeno dan kadar amonia dan suhu urin menggunakan sensor gas MQ135 dan sensor suhu DS18B20 yang kemudian diproses oleh mikrokontroler Arduino Mega. Dari hasil beberapa pengujian yang dilakukan diketahui pembacaan sensor warna TCS3200 sering mengalami ketidakstabilan dan nilai rata-rata error pembacaan sensor gas MQ135 sebesar 0.14%, serta nilai rata-rata error pembacaan sensor suhu DS18B20 sebesar 0.017%, Selanjutnya metode fuzzy mampu bekerja sesuai dengan yang diinginkan hal ini diperlihatkan dari pengujian kestabilan fuzzy dalam membaca tingkat keputusan pada satu sampel yang sama dan perbandingan keputusan fuzzy dengan hasil matlab memiliki rata-rata error sebesar 0.168%.