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Segmentasi Citra Berbasis Vektor Quantization Nahari, Rosida Vivin; Rachmad, Aery; Haryanto, Haryanto; Alfita, Riza; Pramudia, Mirza
Nusantara of Engineering Vol 3, No 1 (2016)
Publisher : Fakultas Teknik - Universitas Nusantara PGRI Kediri

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Abstract

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.
PERANCANGAN SOLAR TRACKER FOUR AXIS BERBASIS INTERNET OF THINGS (IOT) ALFITA, RIZA; IBADILLAH, ACHMAD FIQHI; RAHMAWATI, DIANA; KUSUMA, M.KURNIAWAN HADI; KURIAWAN, ADI; NAHARI, ROSIDA VIVIN; PRAMUDIA, MIRZA
ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika Vol 8, No 2 (2020): ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektro
Publisher : Institut Teknologi Nasional, Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26760/elkomika.v8i2.404

Abstract

ABSTRAKPanel surya merupakan energi terbarukan yang menjadi solusi untuk masa depan. Tetapi efisiensi menjadi masalah tersendiri pada panel surya, dengan efisiensi yang rendah mengakibatkan daya yang dihasilkan kecil dan tidak sebanding dengan harga yang dikeluarkan. Pada penelitian ini dilakukan perancangan untuk meningkatkan efisiensi panel surya ke titik maksimal dengan berbagai fitur yaitu sistem tracking, cermin reflector dan monitoring IoT. Sistem ini menggunakan sensor Light Dependent Resistor (LDR) yang digunakan untuk mendeteksi intensitas cahaya dan dilengkapi juga motor penggerak untuk mengatur sudut elevasi, cermin reflector sebagai pemantul cahaya, dan IoT untuk monitoring jarak jauh. Hasil penelitian menunjukkan bahwa penggunaan cermin reflector mampu meningkatkan daya pada siang hari tetapi turun ketika pagi dan sore hari, sedangkan sistem tracking mampu memproduksi daya lebih baik pada waktu kapanpun.Kata kunci: panel surya, sensor, reflektor ABSTRACTSolar panels are renewable energy which is the solution for the future. But efficiency is a problem in solar panels, with low efficiency resulting in small power generated and not worth the price incurred. In this research, the design is carried out to increase the efficiency of solar panels to the maximum point with various features, namely the tracking system, mirror reflector, and IoT monitoring. This system uses an LDR sensor that is used to detect light intensity and is also equipped with a motor to adjust the elevation angle, reflector mirror as a reflection of light, and IoT for remote monitoring. The results showed that the use of reflector mirrors can increase power during the day but go down in the morning and evening, while the tracking system is able to produce better power at any time. Keywords: Solar panels, sensor, reflector
Rancang Bangun Alat Theraphy Infrared Berbasis STM 32 Untuk Deteksi Nyeri Otot Riza Alfita; Achmad Fiqhi Ibadillah; Rosida Vivin Nahari; Kunto Aji Wibisono; Hendra Wahyu Aprilyanto
Jurnal Teknologi Elektro Vol 13, No 1 (2022)
Publisher : Electrical Engineering, Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/jte.2022.v13i1.007

Abstract

Tangan adalah salah satu bagian tubuh manusia yang sering digunakan. Aktivitas berlebihan bisa menjadikan otot pada tubuh manusia mengalami kelelahan sehingga mengakibatkan nyeri. Penyembuhan nyeri otot bisa dilakukan menggunakan salah satu alat medis yaitu therapy infrared. Terapi infrared adalah penyinaran lampu pijar inframerah ke bagian tubuh yang menembus bagian kulit sehingga dapat melancarkan peredaran darah. Penggunaan metode VAS sebagai nilai indikator tingkat nyeri. Metode ini dilakukan dengan uji coba ke pasien di RSUD Jombang. Penelitian ini dilakukan dengan 3 percobaan yaitu pasien diminta untuk melakukan handgrip 10, 20 dan 30 kali, dan masing-masing akan diukur tegangan sensor ototnya baik sesudah disinari infrared maupun sebelum disinari, sehingga dihasilkan data sebagai berikut : jika memakai 10 handgrip terjadi penurunan tegangan otot dari 250,784 mV menjadi 240,833 mV, jika pasien memakai 20 handgrip dihasilkan penurunan tegangan otot dari 255,375 mV menjadi 246,94 mV dan percobaan memakai 30 handgrip dihasilkan penurunan tegangan dari 278,026 mV menjadi 264,566 mV, sehingga terdapat hasil yang signifikan antara sebelum dan sesudah penyinaran inframerah
Ekstrasi Fitur Daun Tembakau Berbasis Discrete Cosine Transform (DCT) Rosida Vivin Nahari; Arda Surya Editya; Riza Alfita
Journal of Applied Informatics and Computing Vol 4 No 1 (2020): Juli 2020
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (831.819 KB) | DOI: 10.30871/jaic.v4i1.1756

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The success of the tobacco leaf classification process is very dependent on the extraction of tobacco leaf features. Several stages of digital image processing can improve the ability to identify the best quality tobacco automatically through extracting leaf texture features. This study aims to apply the leaf texture feature extraction system using the Discrete Cosine Transform method. Classification results measure the accuracy of the success of the system in extracting the best texture features. The classification of tobacco leaves requires extensive knowledge and complex terminology, even professional graders require significant time in this field for mastery of the subject. This is because tobacco leaves are usually considered to have characteristics that are useful for identification of tobacco quality where the extraction of appropriate features through leaf images can be considered a research problem that plays an important role for classification. The proposed research aims to find a suitable extraction model for obtaining color features through YCbCr color space conversion and tobacco leaf texture obtained from the transformation of the Discrete Cosine Transform frequency space. On classification stage in this research uses the maximum likelihood method. The trial results show an accuracy of success in the classification of tobacco leaves by 90% through the extraction of 12 features.
PKM Pembangkit Listrik Tenaga Hybrid di Desa Sabiyan Kabupaten Bangkalan Riza Alfita; Rosida Vivin Nahari; Mirza Pramudia; Kartika
Dinamisia : Jurnal Pengabdian Kepada Masyarakat Vol. 5 No. 2 (2021): April 2021, Dinamisia: Jurnal Pengabdian Kepada Masyarakat
Publisher : Universitas Lancang Kuning

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31849/dinamisia.v5i2.4371

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The Community Partnership Program (PKM) is a community service program that carried out in the village assisted by the Electrical Engineering Study Program at the University of Trunojoyo Madura. the program is a continuation of the Real Work Lecture program (KKN) which is carried out in the Even semester 2019/2020 involving students, as well as village officials. The village of Sabiyan is located on the coast of Madura where the average population still relies on electricity for daily activities. The problems faced by the people of Sabiyan village Bangkalan Regency are: the people of Sabiyan Village do not yet have the knowledge and skills to utilize renewable energy, lighting facilities are still limited so that not all citizens can get electricity, the price of Basic Electricity Tariff (TDL) is higher so it is necessary renewable energy reserves. With these problems, it is necessary to have a hybrid power plant training. Based on the results of the pre-test conducted on the training participants, the average value was 62.50 and the post-test value was 75.83, with a paired sample correlation of -13.33 so that it could be concluded that there was an increase in knowledge after the training was held
Planning and Manufacturing of Four Axis Solar Panels With Reflector Angle Adjustments Miftachul Ulum; Adi Kurniawan Saputro; Koko Joni; Riza Alfita; Rosida Vivin Nahari; Siti A’isya; Achmad Ubaidillah
JEEE-U (Journal of Electrical and Electronic Engineering-UMSIDA) Vol 6 No 1 (2022): April
Publisher : Muhammadiyah University, Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/jeeeu.v6i1.1628

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Solar thermal energy is one type of renewable energy, so this type of energy can be converted into other energy. This study uses a four-axis solar tracker with angle settings on the reflector to get optimal sunlight, scanning to determine the optimal lighting angle, measurement results are stored in real-time in the data logger. This study uses an LDR (Light Dependent Resistor) as a sunlight detector, equipped with several sensors, namely: current, voltage and power sensor (INA219), light sensor (MAX4409), and temperature sensor (DS18B20), and reflector angle as a parameter of solar efficiency panels. . The results showed that a four-axis solar tracker equipped with a reflector was able to increase the output power. The maximum power production produced by solar panels is: At a reflector angle of 300, the maximum power generated by a static panel is 143.43 W while a solar tracker is 175.15 W. At a reflector angle of 450 the maximum power generated by a static panel is 170.01 W and solar tracker 236.36 W. At an angled reflector of 600 the full power generated by a static panel is 87.77 W, and a solar tracker is 123.36 W. This study concludes that a solar tracker panel with an angle setting of 300 is more capable of maximizing power output than a static solar panel.
Rancang Bangun Mesin Pres Vacuum Sealer Menggunakan Mikrokontroler Berbasis Android Heru Cahyono; Haryanto; Diana Rahmawati; Rosida Vivin Nahari
SinarFe7 Vol. 4 No. 1 (2021): SinarFe7-4 2021
Publisher : FORTEI Regional VII Jawa Timur

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Abstract

Mesin vacuum sealer merupakan sebuah teknologi yang dapat digunakan untuk memudahkan pekerjaan manusia dalam hal pengemasan. Mesin ini cukup bagus untuk menjaga kualitas barang dan juga mampu mengawetkan makanan secara alami. Android smartphone merupakan teknologi yang sudah banyak digunakan oleh manusia pada saat ini. Pada penelitian ini menggunakan android sebagai alat untuk mengontrol sistem kerja dari mesin pres vacuum sealer. Hal ini dilakukan supaya memudahkan manusia untuk memberikan perintah secara wireless dengan menggunakan bluetooth sebagai komunikasi jaringan. Pada penelitian mesin pres vacuum sealer menggunakan mikrokontroler berbasis android dihasilkan sebuah nilai uji coba pada 2 ukuran plastik yaitu 17 x 25 cm dan 12 x 20 cm secara random kurang memuaskan. Pada percobaan plastik ukuran 17 x 25 cm dengan nilai konstan lama vacuum sebesar 8 detik dan lama pemanas 5 detik , dari 20 kali percobaan 17 kali berhasil tervacuum dan terseal dan 3 kali gagal. Sehingga didapatkan nilai keberhasilan sebesar 80%. Sedangkan pada percobaan plastik ukuran 12 x 20 cm dengan nilai konstan lama vacuum sebesar 8 detik dan lama pemanas 5 detik , dari 20 kali percobaan 17 kali berhasil tervacuum dan terseal dan 3 kali gagal. Sehingga didapatkan nilai keberhasilan sebesar 85%.
ANALISIS NILAI OUTPUT RANCANG BANGUN TENAGA HYBRID PADA PAYUNG PANEL SURYA Domas Wisnu; Miftachul Ulum; Haryanto; Rosida Vivin Nahari
SinarFe7 Vol. 4 No. 1 (2021): SinarFe7-4 2021
Publisher : FORTEI Regional VII Jawa Timur

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (961.309 KB)

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Dalam berkembangnya kehidupan modern dengan berjalan yang begitu cepat, tetapi berbanding terbalik dengan faktor sumberdaya yang lainnya, seperti sumber daya energi listrik, dimana suatu sumber daya energi listrik yang berasal dari energi fosil sehingga suatu saat bisa habis, maka diperlukan suatu sumber energi terbarukan dengan memanfaatkan energi dari alam, maka para seorang ilmuan mengembangkan energi baru terbarukan dengan memanfaatkan energi dari alam yang tidak dapat habis dan bisa diubahnya ke energi listrik, seperti energi cahaya matahari yang merupakan suatu energi terbarukan dari alam yang sangat melimpah terutama letak indonesia merupakan negara tropis, dimana setiap 8-9 jam cahaya matahari bersinar, dengan energi tersebut dapat dimanfaatkan lalu diubah menjadi energi listrik dengan menggunakan sebuah alat yang bernama panel surya. Panelsurya merupakan sebuah alat yangmampu mengkonversika sebuah cahaya matahari menjadi energi listrik sehingga mampu memenuhi kebutuhan listrik sehari – hari, dengan alat tersebut dapat juga dikembangankan lagi seperti panel surya tenaga hibrid dibuat dengan bertujuan mengembangkan suatu alat di Universitas Trunojoyo.
Rancang Bangun Automatic Transfer Switch (ATS) - Automatic Main Failure (AMF) Untuk Otomatisasi Genset Berbasis Mikrokontroller Menggunakan Metode Fault Tolerance M. Dikhyak Falakhul Akmal; Riza Alfita; Miftachul Ulum; Haryanto Haryanto; Mirza Pramudia; Rosida Vivin Nahari
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 | Full PDF (729.12 KB) | 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 Clarisna Evita; Riza Alfita; Haryanto Haryanto; Rosida Vivin Nahari; Miftachul Ulum; Mirza Pramudia
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 | Full PDF (918.606 KB) | 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.