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Rancang Bangun Mesin Telur Asin Berbasis Proportional Integral Derivative Rahmawati, Diana; Rasyid, Moch Fadlian; Alfita, Riza; Ibadillah, Achmad Fiqhi
Jurnal Teknik Elektro dan Komputer TRIAC Vol 9, No 2 (2022): Special Edition
Publisher : Jurusan Teknik Elektro Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/triac.v9i2.12667

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Proses pembuatan telur asin biasanya memerlukan waktu cukup lama, yaitu antara 15-21 hari sesuai dengan tingkat keasinan. Salah satu cara untuk mempercepat prosesnya dengan memanipulasi tekanan osmotik. Cara memanipulasi tekanan osmotik dengan cara merendamkan telur bebek dalam larutan asam cuka agar cangkang telur bagian luar terkelupas serta proses pengasinannya dengan cara memanaskan telur bebek tersebut dengan suhu tertentu yang dikontrol dengan kontrol Proportional Integral Derivative Zeigler-Nichols. Rancangan bangun mesin ini terdiri dari tiga proses diantaranya proses pertama telur bebek direndam larutan asam cuka dengan pH sebesar 2,4 selama 15 menit, proses kedua dimana telur dalam proses pengasinan dengan perbandingan batubata : abu gosok : garam sebesar 1:1:2 selama 24 jam dengan kondisi suhu 65℃, dan proses ketiga dimana telur dalam proses pemasakan dengan suhu 80℃ selama 5 jam. Lama proses keseluruhan rancang bangun ini selama 1 hari 5 jam 21 menit dengan menghabiskan daya sebesar 5,21 KWh dengan biaya Rp 5731. Hasil keberhasilan telur asin sebesar 83,33% dengan rincian 20 telur asin dengan keadaan baik dan 4 telur dalam keadaan retak. Serta dari hasil uji laboratorium didapatkan nilai kadar garam rata-rata 0,82 %, kandungan mikroba salmonella bernilai negatif serta kandungan staphyloccus aureus nilai rata-rata 6 koloni/25g atau 0,24 koloni/g.
Identifikasi Nilai Nominal Uang Kertas Berdasarkan Warna Berbasis Image Processing Menggunakan Metode Template Matching Alfita, Riza; Ibadillah, Achmad Fiqhi; Prianto, Aries
Jurnal Teknik Elektro dan Komputer TRIAC Vol 9, No 1 (2022): Mei 2022
Publisher : Jurusan Teknik Elektro Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/triac.v9i1.12487

Abstract

Abstract— Mata uang rupiah adalah mata uang negara Republik Indonesia yang digunakan oleh masyarakat Republik indonesia untuk melakukan transaksi jual beli. Dalam perkembangan jaman proses teknologi pada komputer digunakan untuk mengetahui atau mengidentifikasi nilai dari mata uang, akan tetapi komputer juga memiliki kekurangan atau keterbatasan dalam membaca citra nilai pada mata uang dalam percobaanya. Dalam beberapa kasus pembacaan dengan menggunakan teknologi komputer juga melakukan  kesalahan dalam membaca nilai nominal pada mata uang, semua ini dikarenakan permasalahan penglihatan yang menjadi kekurangan teknologi komputer. Penulis sendiri memberikan solusi pendukung yaitu alat bantu mengetahui nilai mata uang yang menggunakan metode template matching. Template matching merupakan sebuat metode pencocokan gambar input dengan gambar uji. Penelitian menggunakan aplikasi matlab untuk alat bantu identifikasi, dalam serangkaian percobaan yang dilakukan dengan metode template matching menggunakan 6 nilai mata uang yang berbeda yaitu mata uang Rp.2000, Rp.5000, Rp.10000, Rp.20000, Rp.50000 dan Rp.100000 dari percobaan tersebut dapat mengdidentifikasi nilai mata uang dengan tingkat akurasi yang sangat baik mencapai 100%. Dalam percobaan yang lain, gambar mata uang tersebut di coba dengan rotasi yang berbeda. Hal ini bertujuan untuk menguji tingkat akurasi yang di miliki oleh metode template maching dan meskipun input gambar dirotasi metode ini masih dapat mengidentifikasi nilai mata uang dengan baik.Kata Kunci— Template Matching, Uang, Matlab
Segmentasi Citra Berbasis Vektor Quantization Nahari, Rosida Vivin; Rachmad, Aery; Haryanto, Haryanto; Alfita, Riza; Pramudia, Mirza
Nusantara of Engineering (NOE) Vol 3 No 1 (2016)
Publisher : Universitas Nusantara PGRI Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (400.247 KB) | DOI: 10.29407/noe.v3i1.252

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Abstrak— Pada penelitian ini, Metode vector quantization yang dioptimasi menggunakan metode K-mean      diimplementasikan untuk mengelompokkan region pada gambar  2 dimensi dengan ekstrasi fitur warna RGB dan fitur warna YcbCr. Fitur warna tersebut kemudian dijadikan sebagai vektor input (3 dimensi). Jumlah cluster yang diujicobakan adalah N = 20 dan N=3. Dari hasil pengujian dapat ditunjukkan bahwa semakin besar ukuran citra dan sebaran histogram yang semakin merata, waktu iterasi yang dibutuhkan semakin lama. Sedangkan semakin banyak jumlah cluster, akan menyebabkan semakin banyak jumlah iterasi dan semakin lama waktu iterasi yang  dibutuhkan. Namun demikian terdapat beberapa pengujian yang mengalami perbedaan antara satu  percobaan dengan percobaan yang lain pada citra  dengan parameter-parameter yang sama. Hal ini disebabkan oleh peletakan nilai RGB k yang pertama  secara acak dari nilai nol sampai dengan dua. Dari lima kali pengujian terhadap citra dengan parameter - parameter yang sama, sebagian besar diperoleh tingkat perubahan jumlah iterasi yang kurang dari 15%     Kata Kunci—Segmentasi Citra, Vector Quantization, cluster.
Sistem Deteksi Kantuk Pada Pengendara Roda Empat Menggunakan Eye Blink Detection Maslikah, Siti; Alfita, Riza; Achmad Fiqhi Ibadillah
Jurnal FORTECH Vol. 1 No. 1 (2020): Jurnal FORTECH
Publisher : FORTEI (Forum Pendidikan Tinggi Teknik Elektro Indonesia)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56795/fortech.v1i1.221

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The number of traffic accidents in Indonesia is increasing. One of the main factors is the condition of a sleepy driver. In general, sleepy occurs at night when the body need to take rest. But in some people sleepy does not appear to depend on time. This situation needs more attention if we are driving so that the accident cause of sleepy can be avoided. The Republic of Indonesia Police noted that the traffic accidents increasing continued throughout the year, where almost the majority occurred because of drivers who were in a sleepy condition. From these problems a system is created that can automatically determine whether the driver is in conscious, sleepy or a sleep using the Haar Cascade Classifier method. The process begin with taking pictures using Pi Camera which is connected to raspberry to detect the face area using the Haar Cascade Classifier method then the regression tress algorithm on facial landmarks detection which is used to detect sleepy eyes with the output of an alarm to react so the driver is not sleepy. From the results of the overall trial conducted, the percentage of success was 90% and the error rate was 10% during the day from 20 experiments. While the percentage of testing at night obtained a value of 85% and an error rate of 15% from 20 experiments. With the distance between the camera and the driver between 30-50 cm and the slope of 0 - 45 degrees
Smart LCD Proyektor Balancing Berbasis Android Andi Pratama, Febrian; Ulum, Miftachul; Alfita, Riza
Jurnal FORTECH Vol. 1 No. 2 (2020): jurnal FORTECH
Publisher : FORTEI (Forum Pendidikan Tinggi Teknik Elektro Indonesia)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32492/fortech.v1i2.226

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A The use of LCD projector as one of the supports media for teaching, and learning activity has been commonplace in the world of education today, for example at the University of Trunojoyo Madura. During this time, the LCD projector is very helpful in the learning process, especially for presentations and others. The LCD projector also very well utilized with the limitations of the remote, often the projector must be turned on manually, by hand or by using a long stick. For a long time, if this continues and is often done it can cause damage to the projector and can disrupt the teaching and learn process in the room. The solution in this case is to make a simulation tool and projector controller application that functions to turn on, turn off, kmow the slope and adjust the direction of movement on the projector. Furthermore, this application can be embedded on mobile devices, especially Android-based mobile phones. This tool uses the Bluetooth module, Arduino as a media connection between Android and Arduino. With the use of the application, it is expected to be implemented to avoid damage to the projector which is too often used manually and certainly will greatly assist the teaching and learn process, especially at the University of Trunojoyo, Madura.
Rancang Bangun Sistem Pengaman Pintu Menggunakan RFID dan Fingerprint Husniyah, Faridatul; Ulum, Miftachul; Aji Wibisono, Kunto; Alfita, Riza
Jurnal FORTECH Vol. 2 No. 1 (2021): Jurnal FORTECH
Publisher : FORTEI (Forum Pendidikan Tinggi Teknik Elektro Indonesia)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32492/fortech.v2i1.232

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In storing valuables such as electronics, money, jewelry, data and so on, it must be in a safe place. Because the safe factor is a social need of every human being. One of the triggers for crime such as theft, burglary or others is a lack of security, especially in the home environment. Another cause of security is that the door locking system still uses manual locks, making it less effective. Because the door is an important thing in a room, where we can always go in and out to store or put things. From these problems, a door guard using RFID (Radio Frequency Identification) or a fingerprint is needed to make the door safe from crime. This security system is designed using Arduino uno r3 ATmega 328 as a microcontroller equipped with an component of RFID reader and fingerprint sensor as well as a door lock solenoid to access the door. By scanning a fingerprint or scanning an RFID card, the data will then be processed and matched with data that has been registered or stored in the database to be able to access the door. Based on the results of the research that has been done, the value of fingerprint accuracy from 3 tests is 80,6%. The safety system can work quite well according to the design..
Rancang Bangun Automatic Transfer Switch (ATS) - Automatic Main Failure (AMF) Untuk Otomatisasi Genset Berbasis Mikrokontroller Menggunakan Metode Fault Tolerance Dikhyak Falakhul Akmal, M.; Alfita, Riza; Ulum, Miftachul; Haryanto, Haryanto; Pramudia, Mirza; Vivin Nahari, Rosida
Jurnal FORTECH Vol. 2 No. 2 (2021): Jurnal FORTECH
Publisher : FORTEI (Forum Pendidikan Tinggi Teknik Elektro Indonesia)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56795/fortech.v2i2.205

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Often electronic equipment is damaged due to a sudden power outage. This often happens due to uncertain natural conditions, forcing PLN to carry out maintenance on its electricity distribution equipment. In addition, many electrical equipment can be damaged by sudden power outages. To be able to overcome this, people usually use generator to overcome supply failures manually. Based on this background, the author created an Automatic Transfer Switch (ATS) – Automatic Main Faillure (AMF) based on the STM32F103C8T6 microcontroller which is applied to generators when there is a power outage. The ATS – AMF device is made using Relays, PZEM004T Voltage Sensors, magnetic contactors, Miniature Circuit Breakers, stepdown circuits, LCD TFT and STM32F103C8T6 as control systems. This system uses the Fault Tolerance method so that the system can continue to run even if there is damage to the main battery by adding a backup battery as a backup. The results of this study, the Automatic Transfer Switch (ATS) circuit found that the average time needed for the generator to start is 2.5 seconds and the time needed for the generator to produce a stable voltage is 5.7 seconds, thus this time is used as the author's reference in determining the right time to switch the load on the microcontroller so that the load is not damaged due to unstable generator voltage. Whereas in the Automatic Main Failure (AMF) it was found that the Stepdown circuit used to detect whether or not PLN electricity was very responsive because the stepdown circuit was installed in parallel at the PLN source and can be proven by the results in the Arduino application.
Rancang Bangun Timbangan Buah Digital Menggunakan Metode YOLO Evita, Clarisna; Alfita, Riza; Haryanto, Haryanto; Vivin Nahari, Rosida; Ulum, Miftachul; Pramudia, Mirza
Jurnal FORTECH Vol. 3 No. 1 (2022): Jurnal FORTECH
Publisher : FORTEI (Forum Pendidikan Tinggi Teknik Elektro Indonesia)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56795/fortech.v3i1.105

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The rapid development of technology has created various conveniences in all aspects of human life. One of the fields of technology that is rapidly developing is the world of electronics, which demands digitization to facilitate human activities. For example in the field of trade, humans want a process that is practical and easy. Weight measurement is one of the problems that hinders the trading process, because it is still done manually and is less efficient. The purpose of making a design of automatic digital scales based on fruit images using the yolo method (you only look once) is to determine the type and weight of fruit using a Load Cell sensor simultaneously and accurately. The working principle of this tool is the first, the detection of fruit types is processed by a USB Webcam by taking video from the Webcam and then processing it using the Yolo method to identify the type of fruit. The second stage is input from the Load Cell sensor sending object data read to the Raspberry Pi as the main controller. to determine the weight of the fruit, then the last stage is displayed on the LCD and the results can be printed out as proof of purchase receipt. From the LCD directly displays output in the form of price, weight and type of object being weighed. The Yolo method can detect objects and colors and has high detection speed and accuracy.
RANCANG BANGUN ALAT SORTIR KUALITAS BUAH KOPI WONOSALAM BERBASIS IMAGE PROCESSING HIDAYATULLOH, MOHAMMAD; Saputro, Adi Kurniawan; Alfita, Riza; Ulum, Miftachul; -, Haryanto; Hardiwansyah, Muttaqin
MULTITEK INDONESIA Vol 17 No 1 (2023): Juli
Publisher : Universitas Muhammadiyah Ponorogo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24269/mtkind.v17i1.7542

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Kualitas kopi sangat ditentukan oleh proses pengolahan biji kopi. Tahap pertama yakni pemetikan buah kopi dari pohonnya yang dilakukan oleh petani kopi Wonosalam. Pemetikan dilakukukan dengan hanya mengambil buah kopi yang benar-benar matang karena jika tercampur dengan buah yang mentah maka akan dapat mempengaruhi kualitas serta rasa dari kopi itu sendiri. Selain dari tingkat kematangan buah, kecacatan buah juga berpengaruh terhadap kualitasnya. Sejauh ini pemetikan dilakukan secara manual oleh petani. Para petani seringkali memetik buah yang masih mentah karena terburu-buru sehingga buah yang belum cukup matang serta buah yang cacat akan ikut dipanen. Akibatnya para petani kemudian melakukan sortir ulang sehingga mengurangi tingkat produktivitas mereka. Untuk mengatasi masalah tersebut diusulkan sebuah alat sortir kualitas buah kopi Wonosalam berbasis image processing. Pada penelitian ini dilakukan dengan membandingkan 2 metode yang digunakan dalam proses klasifikasi buah kopi. Yakni metode yang diusulkan dan metode YOLOv3. Dari penelitian yang dilakukan didapatkan hasil pada proses pengenalan objek akurasi total metode YOLOv3 mencapai 90.89%. Sedangkan pada metode yang diusulkan total akurasi yang didapatkan adalah 88%. Terdapat selisih sebesar 2.89% antara kedua metode tersebut. Akan tetapi pada saat proses sortasi metode yang diusulkan lebih unggul dibanding metode YOLOv3.
Rancang Bangun Acrylic Engraver and Cutting Machine Menggunakan CNC Milling 3 Axis Berbasis Mikrokontroler Choirony, Iklil Vurqon; Hariyanto, Mohammad Slamed; Ulum, Miftachul; Ubaidillah, Achmad; Haryanto, Haryanto; Alfita, Riza
Elektrika Vol. 13 No. 1 (2021): April 2021
Publisher : Universitas Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26623/elektrika.v13i1.3071

Abstract

The purpose of this research is to design and implement an automatic acrylic carving and cutting tool using a microcontroller-based 3-axis CNC machine. Computer Numerical Control (CNC) is a machine technology that is operated automatically to support the demand for a product that has a complex shape and high accuracy. In general, the construction of a 3-axis CNC machine and its working system is synchronization between the computer and its mechanics. This tool has a work process by utilizing the G-Code method as a command on the machine to carry out engraving and cutting automatically. The G-code was obtained from a previously designed image and then converted using the Aspire 9.0 software. Engraving and cutting is done by sending the G-code file to the microcontroller via the Universal G-code Sender software, then the microcontroller sends a signal to drive the motor driver which then drives the stepper motor so that the actuator movement is generated according to the image in the G-code file. Simultaneously the spindle motor will be active to engrave or cut acrylic. In this study, a trial scenario was carried out to determine the precision and accuracy of the tool, namely by engraving and cutting flat shapes such as squares, circles, triangles and segments. The percentage of success generated from this tool is 97,08% to 100%. Furthermore, testing is carried out to make products in the form of engraving writing, logos and calligraphy. Apart from that, we also tested cutting letters and key chains. When the test is carried out, the accuracy level is 1mm.  
Co-Authors - Haryanto Abdul Rozaq Achmad Fiqhi Ibadillah Achmad Jauhari, Achmad Achmad Ubaidillah Achmad Ubaidillah MS Adi Kurniawan Saputro Adi Kurniawan Saputro Aery Rachmad, Aery Aji Wibisono, Kunto Aji, Kunto Andi Pratama, Febrian Arda Surya Editya Ardiansyah, Yul Aris Jujur Prasetyo Choirony, Iklil Vurqon Choirudin, Muhamat Darmawan, Fajar Dwika Dedy Prasetyo Deni Tri Laksono Diana Rahmawati Diana Rahmawati Diana Rahmawati Diana RahmawatiT, Dikhyak Falakhul Akmal, M. Dina Zurayda Erari, Yosua Evita, Clarisna Farid Amir Marzelly Faswia Fahmi, Monika Felix Konstantin Niel Basori Fiqhi Ibadillah , Achmad Fiqhi Ibadillah, Ahmad Firly Abdillah, Fauzan Firman Mardiansyah Giri, Joseph Robert Hafid Wihangga Hairul Anam Hardiwansyah, Muttaqin Harianto Hariyanto, Mohammad Slamed Harnyoto, Harnyoto Haryanto HARYANTO Haryanto - Haryanto Haryanto Haryanto, Haryanto Heri setiawan Hidayah, Muhammad Nurul Hidayatulloh, Mohammad Hujjatur Rofiq Husniyah, Faridatul Ibadillah, Achmad Fiqi Indra Dwi Setiawan Ivan Dwi Cahyo Jaka Tryangga K Kartika Kartika Khabibiy, Odiy Syahnurrokhim Khotibul Umam Koko Joni Kunto Aji Kunto Aji Wibisono Kunto Aji Wibisono Kunto Aji Wibisono Kunto Aji Wibowo KURIAWAN, ADI Kurniawan S., Adi Kurniawan Saputro, Adi KUSUMA, M.KURNIAWAN HADI Lutqin, Jamal Mahmudi, Muhammad Imam Marzelly, Farid Amir MASLIKAH, SITI Maulana, Ahmad Afan MIFTACHUL ULUM Miftachul Ulum, Miftachul Minggu, Desiderius Mirza Pramudia Muhammad , Dian Purnomo Muhammad A’inul Yaqin Muhammad Bahriyan Firdaus Muhammad Nurul Hidayah Muhammad Rinaldi Neipa P., Dian Ningtias, Trisni Wahyu Nur Rohman, Mohammad Izhandi Ifan Oryza Sativa Prasetyo, Galih Adhi Prianto, Aries R. Gerry Franata Rachmat Setiawibawa Rasyid, Moch Fadlian Retno Diyah Pramana Sari ROSIDA VIVIN NAHARI Saputra, Ahmad Reza Sukri, Hanifudin Tri Laksono, Deni Tri Lindah Utari Ubaidillah, Achmad Ulum, Miftachul ulum, miftahul Vivin Nahari, Rosida Yasin, Mohammad Yasin harianto Yundari, Yundari Zain Nur, Achmad