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All Journal SENTIA 2016 Energi & Kelistrikan Jurnal Pendidikan Teknologi Informasi dan Vokasional Indonesian Journal of Electrical Engineering and Computer Science Jurnal PTI (Jurnal Pendidikan Teknologi Informasi) JEECS (Journal of Electrical Engineering and Computer Sciences)
Endi Permata
Universitas Sultan Ageng Tirtayasa
Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Energy Engineering Mathematics Other

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KLASIFIKASI GLAUKOMA MENGGUNAKAN NEURAL NETWORK BACKPROPAGATION Endi Permata; Ri Munarto; Indra Ginanjar A.T
SENTIA 2016 Vol 8, No 1 (2016)
Publisher : SENTIA 2016

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (808.513 KB)

Abstract

Glaukoma merupakan penyakit pada retina yang disebabkan oleh tingginya tekanan intraokular. Tekanan intraokular pada penderita glaukoma bisa mencapai 60-70mmHg. Penyakit ini ditandai dengan semakin besarnya ukuran cup to disc ratio (CDR). Penyakit glaukoma mempunyai tiga tingkatan yaitu ringan (mild) dengan nilai CDR 0,3-0,5, sedang (moderate) dengan nilai CDR 0,5-0,7 dan parah (severe) dengan nilai CDR diatas 0,7. Untuk analisis retina dan menghitung  nilai CDR yang diambil dari kamera fundus, harus dilakukan oleh dokter mata ahli, namun membutuhkan waktu cukup lama. Oleh karena itu, deteksi ciri dan perhitungan nilai CDR otomatis diharapkan dapat membantu dokter dalam menganalisis penyakit glaukoma. Data yang digunakan sebanyak 60 citra fundus retina yang terdiri dari 20 citra glaukoma ringan, 20 citra glaukoma sedang dan 20 citra glaukoma parah yang diambil dari Rumah Sakit Mata Nasional Cicendo Bandung dan Jakarta Eye Center. Metode yang digunakan untuk mengklasifikasi tingkat glaukoma adalah jaringan saraf tiruan backpropagation. Hasil simulasi pengujian dengan menggunakan software MATLAB R2014b didapatkan nilai akurasi kelas mild sebesar 99% dengan sensitivity 99% dan specificity 97,5%. Akurasi kelas moderate sebesar  85%  dengan  sensitivity 85%  dan  specificity 99%.  Akurasi  kelas  severe sebesar  99%  dengan sensitivity 99% dan specificity 98%. Nilai akurasi rata-rata sistem klasifikasi glaukoma adalah 94,2%.
SMART ALARM RUMAH BERBASIS SHORT MESSAGE SERVICE (SMS) Endi Permata; Mustofa Abi Hamid; Mohammad Fatkhurrokhman
SENTIA 2016 Vol 8, No 2 (2016)
Publisher : SENTIA 2016

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (805.855 KB)

Abstract

Tingginya aktivitas manusia dalam memenuhi kebutuhan ekonomi semakin mengurangi waktu bagi manusia untuk berada di sekitar rumah, baik untuk berkumpul bersama keluarga maupun untuk menjaga keamanan tempat tinggal tersebut, sehingga banyak terjadi hal-hal yang tidak diinginkan seperti kebakaran rumah dan pencurian. Penelitian ini bertujuan untuk merancang peralatan sistem pemantau jarak jauh menggunakan multisensor yaitu sensor api, sensor asap dan motion sensor yang dapat memantau kondisi rumah dari bahaya kebakaran dan pencurian. Sistem ini mampu memberikan informasi dari kondisi rumah secara jarak jauh dengan menggunakan layanan SMS (Short Message Service). Perancangan alat ini menggunakan mikrokontroller ATMega16 yang berfungsi sebagai sarana pengolahan data berupa Protocol Data Unit (PDU) untuk pengiriman/penerimaan SMS (SMSGateway).Hasil pengujian menunjukkan bahwa respon waktu SMS yang dikirim dari sistem tidak lama, sehingga informasi dapat terkirim dengan cepat kepada handphone user untuk mengetahui keadaan rumah dari bahaya kebakaran dan pencurian. Sistem dapat memberikan informasi SMS kepada 3 nomor handphone secara jarak jauh. Sistem ini juga didukung oleh back-up power supply yang berfungsi sebagai suplai tegangan cadangan untuk menedukung kinerja sistem pada saat listrik utama yang berasal dari PLN terputus.
Perancangan Jobsheet Mikroprosesor Zilog 80 Menggunakan Mikroprofesor MPF-1 Endi Permata; Irwanto
JURNAL PTI (PENDIDIKAN DAN TEKNOLOGI INFORMASI) FAKULTAS KEGURUAN ILMU PENDIDIKAN UNIVERSITA PUTRA INDONESIA "YPTK" PADANG Vol. 9 (2022) No. 1
Publisher : Universitas Putra Indonesia YPTK Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35134/jpti.v9i1.102

Abstract

An understanding of the microprocessor is needed for the development of a microcomputer. The Z80 microprocessor was chosen as a learning medium because the programming architecture is still basic. This study uses R&D (Research and Development) and the ADDIE (Analyze, Design, Development, Implement, Evaluate) development model. The final product of this research is learning media in the form of Zilog 80 Microprocessor Jobsheet. students in microprocessor courses and the implementation of microprocessor practicums so that they can run effectively. The research results obtained for the Zilog 80 Microprocessor Jobsheet based on the assessment of media experts get a total percentage of 81.2% and are included in the very eligible category, then the results of the assessment based on material experts get a total percentage of 87.5% and fall into the category very worthy. In addition, the results of questionnaires from users of the Zilog 80 Microprocessor Jobsheet also received a total percentage of 85% and were included in the very eligible category. Based on the results of the assessment obtained, it can be concluded that the Zilog 80 Microprocessor Jobsheet can be said to be eligible as a learning medium
Sistem Kendali On/Off Circuit Breaker 150 kV AD20 Tipe 8DN2 di PT. Krakatau Daya Listrik Endi - Permata; Dimas Aditama
Energi & Kelistrikan Vol 12 No 1 (2020): Energi dan Kelistrikan: Jurnal Ilmiah
Publisher : Sekolah Tinggi Teknik PLN

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (333.955 KB) | DOI: 10.33322/energi.v12i1.920

Abstract

In the transmission and distribution system at PT. Krakatau Daya Listrik there is a security system created. In this case Circuit Breaker (CB), which is a security installation of the electricity network. CB that is used is GIS (Gas Insulated Switchgear) type where CB uses SF6 gas (Sulfurhexaflouride) as an insulating medium to extinguish the arc. This research itself aims to understand how the 150 kV GIS AD20 On / Off Circuit Breaker process control system at PT. Krakatau Daya Listrik and how the work processes, instrumentation, advantages and disadvantages and maintenance of the 150 kV GIS AD20 Circuit Breaker at PT. Krakatau Electric Power. Using research methods directly in the field with interviews and analysis. The results of this study are in the form of an understanding of CB operating systems that can be turned on both locally and via remote control and also the results of routine CB maintenance as an indication of the appropriateness of the equipment for operation so that from the associated analysis can be known the strengths and weaknesses of the device, especially the circuit breaker type GIS.
SISTEM MONITORING PENDETEKSI SUHU DAN KELEMBABAN PADA RUANGAN MENGGUNAKAN ARDUINO R3 Irwanto Irwanto; Endi Permata
Jurnal Pendidikan Teknologi Informasi dan Vokasional Vol 1, No 2 (2019): Edisi Desember
Publisher : Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (449.815 KB) | DOI: 10.23960/20132

Abstract

Sistem pengaman ruangan berbasis mikrokontroler digunakan sebagai kendali alarm atau buzzer. Mikrokontroler yang akan digunakan adalah Arduino. Metode yang digunakan adalah metode perancangan sistem. Adapun permasalahan dalam penelitian ini adalah (1) Bagaimana merancang sebuah sistem monitoring pendeteksi suhu pada ruangan? (2) Bagaimana merancang sebuah sistem monitoring pendeteksi pergerakan pada ruangan? Dan (3) Bagaimana cara menguji hasil rancangan untuk sistem monitoring pendeteksi suhu dan kelembapan pada ruangan? Hasil penelitian adalah (1) Perancangan sebuah sistem monitoring ini pendeteksi suhu ini dilakukan dengan memberikan sebuah masukan yang telah di program dalam bahasa C atau yang bisa disebut dengan mengkoding program tersebut. Sensor suhu dan kelembapan atau sensor DHT11 ini bekerja dengan medeteksi suhu dan kelembapan pada ruangan tertutup. Sensor ini bekerja dengan mendeteksi kadar kelembapan daan tingkat ssuhu di suatu ruangan dan mengirimkan dua sinyal digital sekaligus ke mikrokontroler. (2) Perancangan sebuah sistem monitoring pergerakan dengaan menggunakan sensor PIR (Passive Infra Red) ini bekerja mendeteksi pergerakan melalui gelombang infra merah yang dipancarkan secara menyebar. Sensor ini bekerja saat gelombang infra merah tersebut mengenai objek yang bergerak dan mengirim sinyal analog ke sinyal digital Mikrokontroler. Sistem monitoring ini bekerja dengan menggunakan mikrokontroler berupa Arduino Uno sebagai sistem proses dan berupa inputan yaitu sinyal atau gelombaang infra merah sedangkan outputnya berupa alarm buzzer. (3) Dengan melakukan beberapakali percobaan dengan mengandalkan timer dapat dihasilkan pada suhu ruaangan dengan tingkat rata-rata 29.50°C dan kadar kelembapan pada ruangan tersebut didapatkan rata-rata 69.50°C. hal tersebt dihasilkan dalam kondisi yang stabil atau normal. Penampilan nilai untuk suhu dan kelembapan ini dibantu oleh perangkat LCD yang sudah di perhitungkan melalui bahasa C atau program bahasa C yang sudah dibuat. Kata kunci: Arduino R3, kelembaban,  monitoring, pendetenki, suhu.
IoT and transparent solar cell based automated green house monitoring system for tomato plant cultivation Yus Rama Denny; Endi Permata; Adhitya Trenggono; Vaka Gustiono
Indonesian Journal of Electrical Engineering and Computer Science Vol 22, No 1: April 2021
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v22.i1.pp18-27

Abstract

This study aimed to develop and test the feasibility of a smart greenhouse prototype media that is used as a planting medium with an automatic watering system. The method in this study was research and development using the waterfall model. In order to test the feasibility, the prototype was validated with material expert validators, media expert, and farmers. The questionnaire instrument was compiled based on Walker and Hess instrument. The results of the research found are as follows: the results of feasibility research by media experts has an average score of 4.35 with the category "very feasible", assessment by experts the material has an average score of 4.4 with the category "very feasible", and the assessment of the user has an average score of 4.06 with "feasible". The purposed controlled system of smart greenhouse and as a media for farmers was validated. Our results demonstrated that the smart greenhouse is suitable media to help farmers cultivating the tomatoes plant.
The Identification of Fish Eyes Imagery to Determine the Quality of Fish Meat Based on Fuzzy Logic Method Endi Permata; Ri Munarto; Reza Zembar Yupri
JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 1 No. 1 (2016): JEECS (Journal of Electrical Engineering and Computer Sciences)
Publisher : Fakultas Teknik Universitas Bhayangkara

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (500.44 KB) | DOI: 10.54732/jeecs.v1i1.185

Abstract

The quality of sorting fish meat is required before processing because the fish whose quality is bad will affect the quality of the good fish if processed simultaneously. The classification process manually not only need a long time but also produces the inconsistent product quality. In this research, the selection of fish as an object because the fish which sold in modern and traditional market is dies, so that people do not know the quality of the fish that will be purchased. Because of that, this research tries to classification of the fish meat freshness automatically using HSV color features and Grayscale with classification method using fuzzy logic. Using fuzzy logic method is because it was considered to be able to resolve the problems are not linier. The fish image of the results of image acquisition will go through the process of preprocessing is a Contrast stretching processes, cropping and scaling, after that the fish eyes imagery will be through the feature extraction process, features that is used is a HSV color feature and Grayscale. The final process is classification using Fuzzy Logic method. The classification of the freshness of fish meat are fresh fish, fish that good enough and the fish in a bad condition are using samples of each 50 fish and using 3 types of fish. That are kembung, tongkol, and bandeng fish. The parts of fish that researched is eye. On the fish eye, the eye color is changes when fish is in a bad condition. From the results of the classification program using the GUI method can be determined the classification result process with accuracy of the overall system in kembung fish is 93%, bandeng fish is 89%, and tongkol fish is 88%. The classification result of the freshness of fish meat using a fish eye imagery based on fuzzy logic method has a good result.
Co-Authors Adhitya Trenggono Dimas Aditama Indra Ginanjar A.T Irwanto Irwanto Irwanto Mohammad Fatkhurrokhman Mustofa Abi Hamid Reza Zembar Yupri Ri Munarto Ri Munarto Vaka Gustiono Yus Rama Denny