{"title":"Watering Stimulation of Alliun cepa L Plants Based on IoT Through the ESP32 Microcontroller and MQTT Protocol","authors":"Sirmayanti Sirmayanti","doi":"10.31289/JITE.V4I2.4456","DOIUrl":"https://doi.org/10.31289/JITE.V4I2.4456","url":null,"abstract":"Allium cepa L. (Shallots) is classified as a seasonal plant that requires special water treatment techniques correct ly and precise watering methods. Farmers in the highlands of Enrekang Regency, South Sulawesi, mostly still prefer watering this plant traditionally and manually even though it is in large garden areas. Farmers also find it difficult to handle watering crops on large tracts of land and are overwhelmed by not having enough time to care for water evenly. Implementation of Internet of Things (IoT) based onion watering method utilizes an ESP32 microcontroller with the Message Queuing Telemetry Transport (MQTT) protocol, and is very easy for farmers to implement. The MQTT work system implements Publish and Subscribe data. The method and system for designing this tool is that if the shallot plant is 1-10 days old, this tool will water twice a day evenly, the morning and evening. Then if the shallot plant is 11-60 days old, this tool will water only once, i n the morning. When the watering automation is implemented, the information system is in the form of a message (on the smartphone) signing by logic 0. Conversely, if this tool does not flush, then the message that comes on the smartphone is as logic 1.","PeriodicalId":43632,"journal":{"name":"Journal of Information Technology Education-Innovations in Practice","volume":null,"pages":null},"PeriodicalIF":1.2,"publicationDate":"2021-01-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76621804","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}
{"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":null,"pages":null},"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
{"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":null,"pages":null},"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}
{"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":null,"pages":null},"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}
{"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":null,"pages":null},"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}
{"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":null,"pages":null},"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}
{"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":null,"pages":null},"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}
{"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":null,"pages":null},"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}
{"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":null,"pages":null},"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}
{"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":null,"pages":null},"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}