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<![CDATA[PENINGKATAN PROFESIONALISME GURU MELALUI PELATIHAN PEMBELAJARAN BERBASIS LEARNING MANAGEMENT SYSTEM (LMS) DENGAN APLIKASI EDMODO BAGI PARA GURU BIDANG KEJURUAN DI SMK MULTI MEKANIK MASMUR PEKANBARU ]]>
<![CDATA[Finanta Okmayura]]>;
<![CDATA[Noverta Effendi]]>;
<![CDATA[Adlian Jefiza]]>
<![CDATA[ Jurnal Pengabdian UntukMu NegeRI Vol 2 No 2 (2018): Pengabdian Untuk Mu negeRI ]]>
Publisher : <![CDATA[LPPM UMRI ]]>
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DOI: 10.37859/jpumri.v2i2.1095
<![CDATA[The field mastery of technology, especially in the field of Information and Communication Technology, is one of the obligations for teachers to improve their competence. But at this time the teachers are still applying the conventional teaching model, for example when the teacher stands in front of the class then explains about the subject. This is good for students who pay attention what the material explained by teacher, but if there is the student who can not attend that class they will be missed the lesson. One of some ways to overcome this problem needs for an additional mechanism as an additional learning media as teacher assistants, especially for vocational teachers in SMK Masmur Pekanbaru. The additional learning media is a Learning Management System (LMS) based learning. LMS is a form of web-based computer software, by uploading it to the internet, the e-learning system will be accessible anywhere and anytime. This training is based on LMS where the teachers will use the Edmodo application. By using Edmodo, the teachers have more rights to regulate who can join the group that is created, can control the activities of their students, and can directly assess the tasks. It is expected that LMS-based learning with Edmodo application to be able to improve teachers professionalism and make the learning process in the classroom more efficient than before]]>
<![CDATA[Implementation of Backpropagation Artificial Neural Networks to Predict Palm Oil Price Fresh Fruit Bunches ]]>
<![CDATA[Edi Ismanto]]>;
<![CDATA[Noverta Effendi]]>;
<![CDATA[Eka Pandu Cynthia]]>
<![CDATA[ IJISTECH (International Journal of Information System and Technology) Vol 2, No 1 (2018): November ]]>
Publisher : <![CDATA[Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa ]]>
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DOI: 10.30645/ijistech.v2i1.17
<![CDATA[Riau Province is one of the regions known for its plantation products, especially in the oil palm sector, so that Riau Province and regional districts focus on oil palm plants as the main commodity of plantations in Riau. Based on data from the Central Bureau of Statistics (BPS) of Riau Province, the annual production of oil palm plantations, especially smallholder plantations in Riau province has always increased. So is the demand for world CPO. But sometimes the selling price of oil palm fresh fruit bunches (FFB) for smallholder plantations always changes due to many influential factors. With the Artificial Neural Network approach, the Backpropagation algorithm we conduct training and testing of the time series variables that affect the data, namely data on the area of oil palm plantations in Riau Province; Total palm oil production in Riau Province; Palm Oil Productivity in Riau Province; Palm Oil Exports in Riau Province and Average World CPO Prices. Then price predictions will be made in the future. Based on the results of the training and testing, the best Artificial Neural Network (ANN) architecture model was obtained with 9 input layers, 5 hidden layers and 1 output layer. The output of RMSE 0000699 error value and accuracy percentage is 99.97% so that it can make price predictions according to the given target value.]]>
<![CDATA[Design of Expert System for Early Identification for Suspect Bullying On Vocational Students by Using Dempster Shafer Theory ]]>
<![CDATA[Finanta Okmayura]]>;
<![CDATA[Noverta Effendi]]>
<![CDATA[ CIRCUIT: Jurnal Ilmiah Pendidikan Teknik Elektro Vol 3, No 1 (2019) ]]>
Publisher : <![CDATA[PTE FTK UIN Ar-Raniry ]]>
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DOI: 10.22373/crc.v3i1.4691
<![CDATA[Bullying is negatif agresif character to cover and hurt someone physically or physicology continoustly to act hard to other people who is lower than him. Some parents ignore this problem because of unknowing about the result of this problem that give negative effect to their children and other people. This system will identificate early the begining bullying character for teenager by knowing the kinds of the bullying character base on rate of presentation of higest quartel who has bullying character. This system designed by using Dempster-hafer teory to know the begining of bullying character by using basic knowledge and forward chaining technic to know more about basic knowledge. Counting of this metodh by combining some symptoms that happen on children by calculating the possibillity disturbing by rating the symptoms from 0 to 1. Implementation of this system use PHP program and My SQL database. The black box trial on the consultation modul is done by using 12 instruments of tria and found error value 0,88 % on the system and result of the trial expert system have suitable accuration 84 % , so we can conclude that this expert system for early identification for suspect bullying on teenager good for use.]]>
<![CDATA[Rancang Bangun Sistem Pakar untuk Identifikasi Dini Pelaku Bullying pada Remaja Menggunakan Teori Dempster-Shafer ]]>
<![CDATA[finanta22 okmayura]]>;
<![CDATA[noverta effendi]]>
<![CDATA[ Jurnal Pendidikan Teknologi Informatika dan Sains Vol 1 No 1 (2019): Journal of Education Informatic Technology and Science (JeITS) ]]>
Publisher : <![CDATA[Faculty of Teacher Training and Education ]]>
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<![CDATA[Bullying is negatif agresif character to cover and hurt someone physically or physicology continoustly to act hard to other people who is lower than him. Some parents ignore this problem because of unknowing about the result of this problem that give negative effect to their children and other people. This system will identificate early the begining bullying character for teenager by knowing the kinds of the bullying character base on rate of presentation of higest quartel who has bullying character. This system designed by using Dempster-Shafer teory to know the begining of bullying character by using basic knowledge and forward chaining technic to know more about basic knowledge. Counting of this metodh by combining some symptoms that happen on children by calculating the possibillity disturbing by rating the symptoms from 0 to 1. Implementation of this system use PHP program and My SQL database. The black box trial on the consultation modul is done by using 12 instruments of trial and found error value 0,88 % on the system and result of the trial expert system have suitable accuration 84 % , so we can conclude that this expert system for early identification for suspect bullying on teenager good for use.]]>
<![CDATA[Pengembangan Media Pembelajaran Interaktif dengan Lectora Inspire Materi Perakitan Komputer pada Peserta Didik SMK ]]>
<![CDATA[Melly Novalia]]>;
<![CDATA[Alya Andriani Putri]]>;
<![CDATA[Noverta Effendi]]>
<![CDATA[ Jurnal Pendidikan Teknologi Informatika dan Sains Vol 1 No 2 (2019): Journal of Education Informatic Technology and Science (JeITS) ]]>
Publisher : <![CDATA[Faculty of Teacher Training and Education ]]>
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<![CDATA[Normally in many schools, the media used as learning media are textbooks. Then educators explain the material with conventional methods. This can be applied to certain conditions. If done continuously without variation, it will make the students bored. Therefore, this study aims to make interactive learning media in the subject of computer assembly with Lectora Inspire. To achieve the research objectives, educational research is used with the type of Research and Development (R&D). Learning media development refers to the ADDIE model. The ADDIE stages are Analysis, Design, Development, Implementation, Evaluations. Data is collected through questionnaires (Likert scale) during the trial. Assessment results from material experts on the feasibility of interactive learning media achieved a mean score of 4.00 with a good category. The assessment results from media experts on the feasibility of interactive learning media achieved an average score of 4.65 in a very good category. Furthermore, the results of the assessment of educators on the feasibility of interactive learning media in the trial reached a mean score of 4.0 which is in a good category, while the assessment results of students on the feasibility of interactive learning media in the trial reached a mean score of 4.00 with a good category. Based on the results of the research carried out, it can be concluded that this interactive learning media is suitable to be used as an interactive learning media for computer assembly subject. Keywords Interactive Learning Media, Computer Assembly, Lectora Inspire.]]>
<![CDATA[Sistem Kendali Cerdas Untuk Keamanan Sepeda Motor Berbasis Android ]]>
<![CDATA[Noverta Effendi]]>;
<![CDATA[Adlian Jefiza]]>;
<![CDATA[Finanta Okmayura]]>
<![CDATA[ Jurnal Pendidikan Teknologi Informatika dan Sains Vol 1 No 2 (2019): Journal of Education Informatic Technology and Science (JeITS) ]]>
Publisher : <![CDATA[Faculty of Teacher Training and Education ]]>
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<![CDATA[Sistem kendali cerdas untuk keamanan sepeda motor berbasis andorid dibuat untuk memberikan alternatif solusi untuk mengurangi, mencegah, dan melacak keberadaan sepeda motor ketika terjadi curanmor. Sistem ini akan dapat memberikan data posisi sepeda motor dan status engine sepeda motor melalui sistem pemantauan yang dimiliki oleh pihak keamanan kampus maupun pihak kepolisian. Selain itu sistem kendali cerdas keamanan sepeda motor ini juga dapat memberikan alternatif sistem keamanan melalui penguncian yang dapat dilakukan melalui android. . Sistem kendali cerdas ini berfungsi berdasarkan inputan dari Modul GPS dan Modul relay yang terhubung ke mikrokontroler yang dapat dimonitor oleh aplikasi android, apabila kendaraan pada kondisi terkunci di aplikasi android, maka sepeda motor tidak akan dapat dihidupkan oleh pihak lain sebelum diberikan akses untuk menghidupkan melalui aplikasi android. Selain itu melalui aplikasi dapat juga di monitor posisi sepeda motor apabila sepeda motor bergerak tanpa izin dari pemilik sepeda motor. Informasi dari mikrokontroler akan diteruskan ke aplikasi android melalui media penghubung berupa modul wireless berdasarkan sinyal hotspot dari perangkat android. Hasil pengujian menunjukkan aplikasi dapat menampilkan hasil monitoring status mesin dan posisi sepeda motor secara realtime]]>
<![CDATA[Penerapan E-Modul Pelatihan Mikrotik pad Guru Teknik Komputer Jaringan ]]>
<![CDATA[Khairul Anshari]]>;
<![CDATA[noverta effendi]]>;
<![CDATA[fitri farida]]>
<![CDATA[ Jurnal Pendidikan Teknologi Informatika dan Sains Vol 2 No 2 (2020): Journal of Education Informatic Technology and Science ]]>
Publisher : <![CDATA[Faculty of Teacher Training and Education ]]>
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DOI: 10.37859/jeits.v2i2.2107
<![CDATA[Penelitian penerapan e-modul pelatihan mikrotik bertujuan untuk melihat dampak langsung dari e-modul yang sudah dikembangakan dan diterapkan kepada guru teknik komputer jaringan di sekolah. Metode penelitian yang digunakan adalah pre-eksperimental dengan design penelitian one group pretest posttest (test awal dan test akhir pada kelompok tunggal), penelitian dilaksanakan dengan menilai hasil pretest dengan posttest. Penilaian dengan cara peserta menjawab soal yang disediakan pada e-modul lalu membandingkan hasil nilai peserta dari sebelum menggunakan e-modul pelatihan mikrotik (pretest) dengan setelah menggunakan e-modul pelatihan mikrotik (posttest). Berdasarkan hasil penelitian diperoleh peningkatan nilai yang cukup baik antara nilai pretest yang diperoleh sebelumnya dengan nilai posttest setelah menggunakan e-modul pelatihan mikrotik , sehingga bisa dikatakan bahwa e-modul pelatihan mikrotik memberikan dampak nilai positif.]]>
<![CDATA[Pengembangan Media Pembelajaran Blended Learning Berbasis Edmodo pada Mata Kuliah Fisika Dasar di Program Studi Pendidikan IPA ]]>
<![CDATA[Defrizal Hamka]]>;
<![CDATA[Noverta Effendi]]>
<![CDATA[ Journal of Natural Science and Integration Vol 2, No 1 (2019): JNSI ]]>
Publisher : <![CDATA[Universitas Islam Negeri Sultan Syarif Kasim Riau ]]>
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DOI: 10.24014/jnsi.v2i1.7111
<![CDATA[Penelitian ini bertujuan untuk mengembangkan media pembelanjaran blended learing berbasis edmodo pada pada mata kuliah fisika dasar di program studi pendidikan IPA, mengetahui kelayakan media pembelajaran blended learning berbasis edmodo, dan mengetahui respon mahasiswa dan dosen dalam menggunakan media pembelajaran blended learning berbasis edmodo. Penelitian ini menggunakan metode Research & Development (R&D) dengan pendekatan kuntitatatif dan kualitatif yang dilaksanakan di program studi pendidikan IPA. Berdasarkan pengujian kelayakan media dan materi yang dilakukan oleh 2 validator ahli materi dan 2 validator ahli media, diperoleh hasil penelitian bahwa media pembelajaran blended learning berbasis edmodo menurut para ahli dinyatakan layak. Hasil validasi oleh ahli materi mendapat presentase rata-rata 86%, dan ahli media mendapat presentase rata-rata 85%, Media Pembelajaran Blended learning berbasis edmodo hasil uji telaah pakar memperoleh presentase skor rata-rata 79%, hasil uji coba kelompok kecil diperoleh hasil presentase skor rata-rata 82%, dan hasil uji coba lapangan diperoleh presentase skor rata-rata sebesar 81%. Sehingga media pembelajaran blended learning berbasis edmodo ini dapat digunakan sebagai media pembelajaran untuk menyampaikan materi fisika dasar.]]>
<![CDATA[Implementation of Backpropagation Artificial Neural Networks to Predict Palm Oil Price Fresh Fruit Bunches ]]>
<![CDATA[Edi Ismanto]]>;
<![CDATA[Noverta Effendi]]>;
<![CDATA[Eka Pandu Cynthia]]>
<![CDATA[ IJISTECH (International Journal of Information System and Technology) Vol 2, No 1 (2018): November ]]>
Publisher : <![CDATA[Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa ]]>
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DOI: 10.30645/ijistech.v2i1.17
<![CDATA[Riau Province is one of the regions known for its plantation products, especially in the oil palm sector, so that Riau Province and regional districts focus on oil palm plants as the main commodity of plantations in Riau. Based on data from the Central Bureau of Statistics (BPS) of Riau Province, the annual production of oil palm plantations, especially smallholder plantations in Riau province has always increased. So is the demand for world CPO. But sometimes the selling price of oil palm fresh fruit bunches (FFB) for smallholder plantations always changes due to many influential factors. With the Artificial Neural Network approach, the Backpropagation algorithm we conduct training and testing of the time series variables that affect the data, namely data on the area of oil palm plantations in Riau Province; Total palm oil production in Riau Province; Palm Oil Productivity in Riau Province; Palm Oil Exports in Riau Province and Average World CPO Prices. Then price predictions will be made in the future. Based on the results of the training and testing, the best Artificial Neural Network (ANN) architecture model was obtained with 9 input layers, 5 hidden layers and 1 output layer. The output of RMSE 0000699 error value and accuracy percentage is 99.97% so that it can make price predictions according to the given target value.]]>
<![CDATA[Perancangan Sistem Penyiraman Tanaman Otomatis Menggunakan Sensor Kelembapan Tanah Berbasis IoT ]]>
<![CDATA[Noverta Effendi]]>;
<![CDATA[Witri Ramadhani]]>;
<![CDATA[Fitri Farida]]>
<![CDATA[ Computer Science and Information Technology Vol 3 No 2 (2022): Jurnal Computer Science and Information Technology (CoSciTech) ]]>
Publisher : <![CDATA[Universitas Muhammadiyah Riau ]]>
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DOI: 10.37859/coscitech.v3i2.3923
<![CDATA[Perkembangan teknologi pada saat ini semakin hari semakin meningkat,manusia selalu ingin menerapkan sebuah alat ataupun teknologi yang dapat membantu pekerjaan manusia,sehinga teknologi menjadi kebutuhan bagi manusia. Air dibutuhkan bagi tanaman untuk pertumbuhan, selain digunakan pada proses fotosintesis, air juga dimanfaatkan oleh tanaman untuk melarutkan mineral yang diserap akar dari tanah sebagai proses perkembangan tamanaman tersebut. Penyiraman tanaman secara rutin dapat menjaga serta merawat tanaman agar dapat tumbuh dengan baik. Penyiraman tanaman secara otomatis menggunakan perangkat NodeMCU ESP8266 memungkinkan user untuk mengontrol dan memonitor alat penyiraman tanaman berbasis IoT. Hasil dari penelitian ini menunjukkan sistem penyiraman tanaman otomatis berbasis IOT bekerja dengan baik. Sistem yang telah dibuat mampu memantau penyiraman otomatis secara realtime dan menampilkan status pompa air untuk 3 kondisi yang di kirimkan oleh sensor kelembapan tanah.Penelitian ini bertujuan Untuk mempermudah proses penyiraman tanaman dan mempermudah para petani dalam mengecek tanaman yang Di jaganya. Sehingga petani terhindar dari Kelalaian dalam menjaga tanaman dan tamanan pun dapat tumbuh Subur dengan asupan air yang diberi secara otomatis. Penelitian ini terdiri dari Mikrokontroler Node MCU ESP8266, Soil Moisture Sensor,Relay,Kabel Jumper dan Pompa. Hasil penelitian menujukkan sistem penyiraman tanaman otomatis berjalan dengan baik dan mampu melakukan monitoring kondisi kadar air dalam tanah dan status pompa air.]]>
