Nelson Roberto Duarte, S. Riyadi, L. Pratomo, F. B. Setiawan
Penggunaan switched reluctance motor (SRM) dalam aplikasi industri banyak diterapkan, hal ini dikarenakan SRM memiliki kelebihan antara lain tidak menggunakan magnet permanen serta kontruksi sederhana berupa inti besi pada rotor dan belitan stator. SRM membutuhkan informasi posisi rotor dalam pengoperasianya. Informasi posisi rotor yang sering digunakan adalah sensor hall effect yang sudah terpasang di dalam body motor walaupun adanya kelemahan terhadap akurasi. Untuk mendapatkan akurasi yang baik maka rotary encoder digunakan sebagai informasi posisi rotor. Rotary encoder memiliki tingkat kepresisian yang tinggi tapi dalam pemasangannya dibutuhkan sinkronisasi terhadap posisi rotor. Injeksi pulsa dilakukan untuk mencari kesesuaian antara posisi rotor dengan rotary encoder. Pada makalah ini diusulkan kendali SRM dengan informasi posisi rotor berasal dari pulsa rotary encoder. Hasil dari injeksi pulsa digunakan untuk menentukan profil induktansi pada posisi tertentu. Berdasarkan profil induktansi didapatkan sinkronisasi antara posisi rotor dengan pulsa rotary encoder. Untuk mendukung tercapainya metode analisis yang diusulkan dilakakukan pengujian pada laboratorium
{"title":"Pulse Injection Method to Increase Precision of Rotary Encoder on Switched Reluctance Motors","authors":"Nelson Roberto Duarte, S. Riyadi, L. Pratomo, F. B. Setiawan","doi":"10.31289/JITE.V4I2.4425","DOIUrl":"https://doi.org/10.31289/JITE.V4I2.4425","url":null,"abstract":"Penggunaan switched reluctance motor (SRM) dalam aplikasi industri banyak diterapkan, hal ini dikarenakan SRM memiliki kelebihan antara lain tidak menggunakan magnet permanen serta kontruksi sederhana berupa inti besi pada rotor dan belitan stator. SRM membutuhkan informasi posisi rotor dalam pengoperasianya. Informasi posisi rotor yang sering digunakan adalah sensor hall effect yang sudah terpasang di dalam body motor walaupun adanya kelemahan terhadap akurasi. Untuk mendapatkan akurasi yang baik maka rotary encoder digunakan sebagai informasi posisi rotor. Rotary encoder memiliki tingkat kepresisian yang tinggi tapi dalam pemasangannya dibutuhkan sinkronisasi terhadap posisi rotor. Injeksi pulsa dilakukan untuk mencari kesesuaian antara posisi rotor dengan rotary encoder. Pada makalah ini diusulkan kendali SRM dengan informasi posisi rotor berasal dari pulsa rotary encoder. Hasil dari injeksi pulsa digunakan untuk menentukan profil induktansi pada posisi tertentu. Berdasarkan profil induktansi didapatkan sinkronisasi antara posisi rotor dengan pulsa rotary encoder. Untuk mendukung tercapainya metode analisis yang diusulkan dilakakukan pengujian pada laboratorium","PeriodicalId":43632,"journal":{"name":"Journal of Information Technology Education-Innovations in Practice","volume":"3 11 1","pages":"317-324"},"PeriodicalIF":1.2,"publicationDate":"2021-01-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78412259","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Informasi yang terdapat pada QR Code dapat dibaca dengan alat pemindainya. Alat pemindai yang digunakan berupa kamera yang terkoneksi ke sistemnya, contohnya webcam. Saat sekarang ini, alat pemindai akan bekerja secara otomatis jika mendeteksi objek QR Code tersebut. Pada penelitian ini, alat pemindai QR Code yang sudah ada akan dikembangkan dengan menambahkan deteksi wajah manusia di dalam sistemnya, yang mana proses memindai dan mendeteksi akan berjalan secara bersamaan di satu sistem. Tanpa deteksi wajah maka sistem tidak bisa bekerja. Metode penelitian yang dipakai adalah jenis research and development (R&D). Sistem yang dihasilkan terdiri dari server penghasil gambar QR Code dan sistem pemindai dengan dua webcam. Fungsi server adalah untuk mendaftarkan informasi yang akan disimpan ke gambar QR Code. Untuk akses ke server menggunakan browser, sedangkan pada sistem pemindai menggunakan aplikasi yang dibuat dengan bahasa pemrograman Processing. Antara server dan sistem pemindai terkoneksi secara otomatis ketika mengekstrak informasi yang ada pada gambar QR Code. Jarak baca agar sistem pemindai bekerja adalah antara 10 cm sampai dengan 55 cm.
{"title":"Qr Code Reader System Assisted With Face Detection Using Multi Webcam","authors":"Julham -, H. A. Adam","doi":"10.31289/JITE.V4I2.4471","DOIUrl":"https://doi.org/10.31289/JITE.V4I2.4471","url":null,"abstract":"Informasi yang terdapat pada QR Code dapat dibaca dengan alat pemindainya. Alat pemindai yang digunakan berupa kamera yang terkoneksi ke sistemnya, contohnya webcam. Saat sekarang ini, alat pemindai akan bekerja secara otomatis jika mendeteksi objek QR Code tersebut. Pada penelitian ini, alat pemindai QR Code yang sudah ada akan dikembangkan dengan menambahkan deteksi wajah manusia di dalam sistemnya, yang mana proses memindai dan mendeteksi akan berjalan secara bersamaan di satu sistem. Tanpa deteksi wajah maka sistem tidak bisa bekerja. Metode penelitian yang dipakai adalah jenis research and development (R&D). Sistem yang dihasilkan terdiri dari server penghasil gambar QR Code dan sistem pemindai dengan dua webcam. Fungsi server adalah untuk mendaftarkan informasi yang akan disimpan ke gambar QR Code. Untuk akses ke server menggunakan browser, sedangkan pada sistem pemindai menggunakan aplikasi yang dibuat dengan bahasa pemrograman Processing. Antara server dan sistem pemindai terkoneksi secara otomatis ketika mengekstrak informasi yang ada pada gambar QR Code. Jarak baca agar sistem pemindai bekerja adalah antara 10 cm sampai dengan 55 cm.","PeriodicalId":43632,"journal":{"name":"Journal of Information Technology Education-Innovations in Practice","volume":"66 1","pages":"364-372"},"PeriodicalIF":1.2,"publicationDate":"2021-01-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77948497","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Asrianda Asrianda, Hafizh Al Kautsar Aidilof, Yoga Pangestu
Artificial intelligence (AI) merupakan bidang ilmu pengetahuan yang saat ini menjadi isu yang menarik dan masih diteliti secara luas. Salah satu cabang dari pengembangan AI adalah computer vision yang di dalamnya terdapat topik pembahasan image classification dan object detection. Machine learning dapat dimanfaatkan di dalam bidang computer vision untuk melakukan object detection dan image classification, yaitu dengan menggunakan algoritma Convolutional Neural Network (CNN). CNN banyak digunakan pada penelitian terdahulu karena akurasinya yang tinggi. Pada penelitian ini, CNN digunakan untuk mendeteksi jenis penyakit daun tanaman kelapa sawit, dengan dataset sebanyak 60 gambar, dimana 50 diantaranya merupakan daun dengan 5 jenis penyakit berbeda, yaitu Curvularia sp, Cochliobolus carbonus, Capnodium sp, Drecshlera, dan defisiensi unsur hara. Sedangkan 10 sisanya merupakan gambar daun sehat. Hasilnya, CNN dapat mendeteksi penyakit daun kelapa sawit dengan akurasi yang dihasilkan mencapai 99%.
{"title":"Machine Learning for Detection of Palm Oil Leaf Disease Visually using Convolutional Neural Network Algorithm","authors":"Asrianda Asrianda, Hafizh Al Kautsar Aidilof, Yoga Pangestu","doi":"10.31289/JITE.V4I2.4185","DOIUrl":"https://doi.org/10.31289/JITE.V4I2.4185","url":null,"abstract":"Artificial intelligence (AI) merupakan bidang ilmu pengetahuan yang saat ini menjadi isu yang menarik dan masih diteliti secara luas. Salah satu cabang dari pengembangan AI adalah computer vision yang di dalamnya terdapat topik pembahasan image classification dan object detection. Machine learning dapat dimanfaatkan di dalam bidang computer vision untuk melakukan object detection dan image classification, yaitu dengan menggunakan algoritma Convolutional Neural Network (CNN). CNN banyak digunakan pada penelitian terdahulu karena akurasinya yang tinggi. Pada penelitian ini, CNN digunakan untuk mendeteksi jenis penyakit daun tanaman kelapa sawit, dengan dataset sebanyak 60 gambar, dimana 50 diantaranya merupakan daun dengan 5 jenis penyakit berbeda, yaitu Curvularia sp, Cochliobolus carbonus, Capnodium sp, Drecshlera, dan defisiensi unsur hara. Sedangkan 10 sisanya merupakan gambar daun sehat. Hasilnya, CNN dapat mendeteksi penyakit daun kelapa sawit dengan akurasi yang dihasilkan mencapai 99%.","PeriodicalId":43632,"journal":{"name":"Journal of Information Technology Education-Innovations in Practice","volume":"20 1","pages":"286-293"},"PeriodicalIF":1.2,"publicationDate":"2021-01-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86719396","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
There are various types of wheat scattered in the world. Usually it takes a long time to recognize the type of wheat seed by manual method because wheat germ has a physical appearance that looks the same as others. One method that can be used is an Artificial Neural Network. In this study, the data used were secondary data which consisted of data from the variable physical characteristics of wheat germ. The types of wheat seeds that are classified are 3. The Artificial Neural Network architecture used in this study is 5. By comparing the 5 Artificial Neural Network architectures, it is concluded that the architecture consisting of 3 layers and 4 layers is more precise in the classification of wheat germ types. The accuracy obtained by the 2 Artificial Neural Network architectures is 90% and 90%, respectively.
{"title":"Classification of Wheat Seeds Using Neural Network Backpropagation Algorithm","authors":"J. Tanjung","doi":"10.31289/JITE.V4I2.4449","DOIUrl":"https://doi.org/10.31289/JITE.V4I2.4449","url":null,"abstract":"There are various types of wheat scattered in the world. Usually it takes a long time to recognize the type of wheat seed by manual method because wheat germ has a physical appearance that looks the same as others. One method that can be used is an Artificial Neural Network. In this study, the data used were secondary data which consisted of data from the variable physical characteristics of wheat germ. The types of wheat seeds that are classified are 3. The Artificial Neural Network architecture used in this study is 5. By comparing the 5 Artificial Neural Network architectures, it is concluded that the architecture consisting of 3 layers and 4 layers is more precise in the classification of wheat germ types. The accuracy obtained by the 2 Artificial Neural Network architectures is 90% and 90%, respectively.","PeriodicalId":43632,"journal":{"name":"Journal of Information Technology Education-Innovations in Practice","volume":"42 1","pages":"335-342"},"PeriodicalIF":1.2,"publicationDate":"2021-01-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91175723","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Definite Integral is one of the most important subjects in calculus. The use of integrals that must be studied is calculating the area and drawing curves based on the equation of functions. However, there are still many students have difficult to understand integral material, especially definite integral. Most students have difficult to understand Integral learning because they do not understand the basic and material that needs to be mastered. The purpose of this study is to find a pattern of relationship to the understanding the topic of integral material about calculation and drawing of integral curves using apriori algorithm. Apriori algorithms can be used to determine learning patterns and linkages between definite integral material. Apriori algorithms can be used to determine learning patterns and linkages between definite integral material. The results of this study indicate that understanding of the material is the topic of calculation with 1 functional equation and 2 functional equations, and the depiction of integral curves at X and Y coordinates with a confidence value of 96% and basic integral material such as understanding basic integral techniques, definite integral formulas, calculations and curve depiction on cartesian diagram coordinates X and Y with a confidence value of 76%.
{"title":"Analysis of Definite Integral Material Topics for Improve Student Learning Using Apriori Algorithm","authors":"N. Dharshinni","doi":"10.31289/JITE.V4I2.4316","DOIUrl":"https://doi.org/10.31289/JITE.V4I2.4316","url":null,"abstract":"Definite Integral is one of the most important subjects in calculus. The use of integrals that must be studied is calculating the area and drawing curves based on the equation of functions. However, there are still many students have difficult to understand integral material, especially definite integral. Most students have difficult to understand Integral learning because they do not understand the basic and material that needs to be mastered. The purpose of this study is to find a pattern of relationship to the understanding the topic of integral material about calculation and drawing of integral curves using apriori algorithm. Apriori algorithms can be used to determine learning patterns and linkages between definite integral material. Apriori algorithms can be used to determine learning patterns and linkages between definite integral material. The results of this study indicate that understanding of the material is the topic of calculation with 1 functional equation and 2 functional equations, and the depiction of integral curves at X and Y coordinates with a confidence value of 96% and basic integral material such as understanding basic integral techniques, definite integral formulas, calculations and curve depiction on cartesian diagram coordinates X and Y with a confidence value of 76%.","PeriodicalId":43632,"journal":{"name":"Journal of Information Technology Education-Innovations in Practice","volume":"119 1","pages":"294-300"},"PeriodicalIF":1.2,"publicationDate":"2021-01-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85224964","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Penelitian ini berdasarkan salah satu roadma p prodi Teknik Telekomunikasi Jurusan Teknik Elektro Politeknik Negeri Medan. Materi dasar dalampraktikum Dasar Telekomunikasi I bersifat dasar suatu sinyal. Sinyal yang diberikan ke sistem atau rangkaian, keluarannya diukur oleh osiloskop dan/atau spectrum analyzer. Rangkaian dasar sistem analog dalam telekomunikasi meliputi filter, penguat, osilator dan mixer. Menurut penelitian rancangan filter terdahulu yang telah dilakukan, kemudian dilanjutkan kepada penelitian karakteristik penguat dan mixer analog pada modul ED-2950P. Penguat dan mixer dikelompokkan menurut RF, IF dan daya.,Rangkaian dibangun berbasis IC 555, μ741 atau LM348 terbaru dan didukung generator sinyal, 10 MHz, 50 MHz. bentuk gelombang dan analisa respon frekuensi menggunakan Osiloskop digital, 100 MHz. Rancang bangun rangkaian tersebut diiringi dengan program simulasi menggunakan MATLAB dengan metode IIR, keduanya akan dibandingkan hasilnya. Hasilnya cukup memadai dengan faktor error bervariasi rata-rata 0,0964 Vpp sampai 0,236 Vpp dan standar deviasi dari 0,070 Vpp sampai 0,0340 Vpp untuk tegangan masukan 1 Vpp. Mixer terdiri dari modulator AM,
{"title":"Design and Simulation of Analog Modulation with the Infinite Impulse Response Method","authors":"R. Anugrahwaty, Indra Yadi","doi":"10.31289/JITE.V4I2.4411","DOIUrl":"https://doi.org/10.31289/JITE.V4I2.4411","url":null,"abstract":"Penelitian ini berdasarkan salah satu roadma p prodi Teknik Telekomunikasi Jurusan Teknik Elektro Politeknik Negeri Medan. Materi dasar dalampraktikum Dasar Telekomunikasi I bersifat dasar suatu sinyal. Sinyal yang diberikan ke sistem atau rangkaian, keluarannya diukur oleh osiloskop dan/atau spectrum analyzer. Rangkaian dasar sistem analog dalam telekomunikasi meliputi filter, penguat, osilator dan mixer. Menurut penelitian rancangan filter terdahulu yang telah dilakukan, kemudian dilanjutkan kepada penelitian karakteristik penguat dan mixer analog pada modul ED-2950P. Penguat dan mixer dikelompokkan menurut RF, IF dan daya.,Rangkaian dibangun berbasis IC 555, μ741 atau LM348 terbaru dan didukung generator sinyal, 10 MHz, 50 MHz. bentuk gelombang dan analisa respon frekuensi menggunakan Osiloskop digital, 100 MHz. Rancang bangun rangkaian tersebut diiringi dengan program simulasi menggunakan MATLAB dengan metode IIR, keduanya akan dibandingkan hasilnya. Hasilnya cukup memadai dengan faktor error bervariasi rata-rata 0,0964 Vpp sampai 0,236 Vpp dan standar deviasi dari 0,070 Vpp sampai 0,0340 Vpp untuk tegangan masukan 1 Vpp. Mixer terdiri dari modulator AM,","PeriodicalId":43632,"journal":{"name":"Journal of Information Technology Education-Innovations in Practice","volume":"136 1","pages":"310-316"},"PeriodicalIF":1.2,"publicationDate":"2021-01-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77417625","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Wayang is a masterpiece of art that has been able to survive centuries of change and development as a reflection of life for the majority of society. Wayang has a high value because it does not only function as a "entertainment" spectacle, but also has many lessons and life values that can be learned from a wayang show. Puppet itself has various types and forms, and these forms have their own uniqueness, because of the many types of Puppet, many people do not know all the names and types of wayang. Therefore, in this research, we will discuss how to recognize wayang objects based on wayang images using the SVM and GLCM methods as feature extraction. The results showed that the classification of wayang using the SVM (Support Vector Machine) method and the GLCM (Gray Level Co-Occurrence Matrix) feature extraction can recognize wayang objects based on wayang images and classify them quite accurately and a maximum total accuracy of 83.2% is obtained.
{"title":"Wayang Image Classification Using SVM Method and GLCM Feature Extraction","authors":"Muhathir Muhathir, M. H. Santoso, D. Larasati","doi":"10.31289/JITE.V4I2.4524","DOIUrl":"https://doi.org/10.31289/JITE.V4I2.4524","url":null,"abstract":"Wayang is a masterpiece of art that has been able to survive centuries of change and development as a reflection of life for the majority of society. Wayang has a high value because it does not only function as a \"entertainment\" spectacle, but also has many lessons and life values that can be learned from a wayang show. Puppet itself has various types and forms, and these forms have their own uniqueness, because of the many types of Puppet, many people do not know all the names and types of wayang. Therefore, in this research, we will discuss how to recognize wayang objects based on wayang images using the SVM and GLCM methods as feature extraction. The results showed that the classification of wayang using the SVM (Support Vector Machine) method and the GLCM (Gray Level Co-Occurrence Matrix) feature extraction can recognize wayang objects based on wayang images and classify them quite accurately and a maximum total accuracy of 83.2% is obtained.","PeriodicalId":43632,"journal":{"name":"Journal of Information Technology Education-Innovations in Practice","volume":"188 1","pages":"373-382"},"PeriodicalIF":1.2,"publicationDate":"2021-01-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77512787","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Tides can be defined as waves generated by the interaction between the earth, sun and moon. The peak of the wave is called the high tide (High Water/HW) and the tide is called low tide (Low Water/LW). The tidal period is the time between the crest or trough of a wave to the crest or tide of the next wave. The time of the tidal period varies from 12 hours 25 minutes to 24 hours 50 minutes. The results of preliminary observations to the desa nelayan in Kuala Langsa found that most of the outskirt fishermen and anglers always look for fish and other marine animals in high tide conditions. Nevertheless, they do not know for sure when the sea water will rise. They detect sea level rise using only a simple tool such as a stick attached to the river and from their house poles under the water. This condition can be detrimental to fishermen both time and economically. The author also began to think about how to create a detection tool that can provide accurate information on sea level conditions at any time to fishermen and anglers via smartphones. The author finally got the best idea, namely creating a "Sea Level Detection System in Kuala Langsa for Fishermen and Anglers Using NodeMCU and Internet of Thing (IoT) Based Waterlevel Sensors and Telegram Messenger. This research has been successfully carried out, where the IoT-based sea level detection tool can work well during experiments in the laboratory and during implementation at the Kuala Langsa estuary, Langsa City.
{"title":"Build Internet of Thing Based Sea Level Detection System","authors":"Rizalul Akram, Liza Fitria","doi":"10.31289/JITE.V4I2.4447","DOIUrl":"https://doi.org/10.31289/JITE.V4I2.4447","url":null,"abstract":"Tides can be defined as waves generated by the interaction between the earth, sun and moon. The peak of the wave is called the high tide (High Water/HW) and the tide is called low tide (Low Water/LW). The tidal period is the time between the crest or trough of a wave to the crest or tide of the next wave. The time of the tidal period varies from 12 hours 25 minutes to 24 hours 50 minutes. The results of preliminary observations to the desa nelayan in Kuala Langsa found that most of the outskirt fishermen and anglers always look for fish and other marine animals in high tide conditions. Nevertheless, they do not know for sure when the sea water will rise. They detect sea level rise using only a simple tool such as a stick attached to the river and from their house poles under the water. This condition can be detrimental to fishermen both time and economically. The author also began to think about how to create a detection tool that can provide accurate information on sea level conditions at any time to fishermen and anglers via smartphones. The author finally got the best idea, namely creating a \"Sea Level Detection System in Kuala Langsa for Fishermen and Anglers Using NodeMCU and Internet of Thing (IoT) Based Waterlevel Sensors and Telegram Messenger. This research has been successfully carried out, where the IoT-based sea level detection tool can work well during experiments in the laboratory and during implementation at the Kuala Langsa estuary, Langsa City.","PeriodicalId":43632,"journal":{"name":"Journal of Information Technology Education-Innovations in Practice","volume":"119 1","pages":"325-334"},"PeriodicalIF":1.2,"publicationDate":"2021-01-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81528436","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Geofencing merupakan suatu batas virtual yang mengelilingi sebuah area geografis. Area geografis terdiri-dari banyak titik yang mana nilai titik dapat diketahui dengan menggunakan perangkat GPS ( Global Potisioning System ). Sekarang ini perangkat GPS sudah ada yang berbentuk hanya modul GPS saja, sehingga bisa dikembangkan secara mandiri sesuai kebutuhan. Contoh dari modul tersebut adalah modul GPS GY-NEO6MV2 (Ublox NEO6MV2). Modul ini dapat berkomunikasi dengan mikrokontroler melalui komunikasi serial. Untuk itu penerapan geofencing ke mikrokontroler dapat dilakukan. Wilayah geofencing-nya berbentuk segitiga sembarang yang lokasinya di sekitar kampus Politeknik Negeri Medan, dimana pendekatan Pertidaksamaan Linear Dua Variabel digunakan dalam menentukan wilayah tersebut. Metode penelitian yang digunakan adalah research and development (R&D). Total rata-rata penyimpangan titik ukur jika dibandingkan dengan GPS buatan pabrik adalah 6,455127033 meter. Dan sistem memberikan indikator OUT jika berada di luar wilayah geofencing dan indikator IN jika berada di dalam wilayah geofencing.
{"title":"Applied Of Geofencing In Microcontroller With Linear Inequality Approach Of Two Variables","authors":"Julham -, H. A. Adam","doi":"10.31289/JITE.V4I2.4470","DOIUrl":"https://doi.org/10.31289/JITE.V4I2.4470","url":null,"abstract":"Geofencing merupakan suatu batas virtual yang mengelilingi sebuah area geografis. Area geografis terdiri-dari banyak titik yang mana nilai titik dapat diketahui dengan menggunakan perangkat GPS ( Global Potisioning System ). Sekarang ini perangkat GPS sudah ada yang berbentuk hanya modul GPS saja, sehingga bisa dikembangkan secara mandiri sesuai kebutuhan. Contoh dari modul tersebut adalah modul GPS GY-NEO6MV2 (Ublox NEO6MV2). Modul ini dapat berkomunikasi dengan mikrokontroler melalui komunikasi serial. Untuk itu penerapan geofencing ke mikrokontroler dapat dilakukan. Wilayah geofencing-nya berbentuk segitiga sembarang yang lokasinya di sekitar kampus Politeknik Negeri Medan, dimana pendekatan Pertidaksamaan Linear Dua Variabel digunakan dalam menentukan wilayah tersebut. Metode penelitian yang digunakan adalah research and development (R&D). Total rata-rata penyimpangan titik ukur jika dibandingkan dengan GPS buatan pabrik adalah 6,455127033 meter. Dan sistem memberikan indikator OUT jika berada di luar wilayah geofencing dan indikator IN jika berada di dalam wilayah geofencing.","PeriodicalId":43632,"journal":{"name":"Journal of Information Technology Education-Innovations in Practice","volume":"16 1","pages":"355-363"},"PeriodicalIF":1.2,"publicationDate":"2021-01-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90602618","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Technology has been proliferating and it has been creating a new term in the world of technology. One of the new terms that have emerged along with technological development is The Fourth Industrial Revolution. In line with the revolution, this research has a purpose of creating a smart manufacturing concept that involves several components such as software, machines, and certain tools such as RFID. This research will be designed and developed using software development method in the form of a waterfall method and this research will use C# programming language released by American multinational technology company, which is Microsoft to create the software. This research will be assisted by several hardware devices such as RFID Reader that will serve as a tool that will read information stored in RFID Tag and RFID Tag that will be used to store information needed by system. The output of this research is a software that is capable of automating voltage adjustment of electroplating machine, monitor the voltage and ampere of the machine, and able to aid users on the electroplating process
{"title":"Implementation of Automation System to Control Machine Voltage of Electroplating Process","authors":"S. Suwarno, C. Chin","doi":"10.31289/JITE.V4I2.4582","DOIUrl":"https://doi.org/10.31289/JITE.V4I2.4582","url":null,"abstract":"Technology has been proliferating and it has been creating a new term in the world of technology. One of the new terms that have emerged along with technological development is The Fourth Industrial Revolution. In line with the revolution, this research has a purpose of creating a smart manufacturing concept that involves several components such as software, machines, and certain tools such as RFID. This research will be designed and developed using software development method in the form of a waterfall method and this research will use C# programming language released by American multinational technology company, which is Microsoft to create the software. This research will be assisted by several hardware devices such as RFID Reader that will serve as a tool that will read information stored in RFID Tag and RFID Tag that will be used to store information needed by system. The output of this research is a software that is capable of automating voltage adjustment of electroplating machine, monitor the voltage and ampere of the machine, and able to aid users on the electroplating process","PeriodicalId":43632,"journal":{"name":"Journal of Information Technology Education-Innovations in Practice","volume":"267 1","pages":"404-413"},"PeriodicalIF":1.2,"publicationDate":"2021-01-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79014026","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：