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All Journal Riau Journal of Computer Science QALAMUNA: Jurnal Pendidikan, Sosial, dan Agama INOVTEK Polbeng - Seri Informatika Jurnal Sisfokom (Sistem Informasi dan Komputer) Jurnal Inovasi Hasil Pengabdian Masyarakat (JIPEMAS) JISA (Jurnal Informatika dan Sains) Community Development Journal: Jurnal Pengabdian Masyarakat PAKDEMAS : Jurnal Pengabdian Kepada Masyarakat Prosiding Seminar Nasional Sisfotek (Sistem Informasi dan Teknologi Informasi)

Budi Yanto

Fakultas Ilmu Komputer, Prodi Teknik Informatika, Universitas Pasir Pengaraian

Author-ID : 3089414

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STRATEGI ALGORITMA DEPTH-FIRST SEARCH (DFS) DAN ALPA BETA PRUNING PADA PERMAINAN COC (Clash of Clans) Budi Yanto; Erni Rouza; Jufri -
RJOCS (Riau Journal of Computer Science) Vol. 3 No. 2 (2017): Riau Journal of Computer Science
Publisher : RJOCS (Riau Journal of Computer Science)

Game development is supported by the increasingly sophisticated Android technology that exists either in the model or operating system. Android is one of the most sophisticated mobile phone operating systems today. One of the most popular and artificial intelligence games game in the world, such as COC (Clash of Clans) is a Strategy game where players build community, train troops, and attack other players to get gold, trophy, elixir and dark elixir , Build defenses that protect players from other players' attacks, and to train and improve the ability and number of troops .The application of artificial intelligence algorithm with Negamax algorithm optimized with Alpha Beta Pruning can reduce the searchspace so that the evaluation process can be done more quickly.

PENERAPAN METODE SIMPLE ADDITIVE WEIHTING UNTUK MENENTUKAN KUALITAS POHON SAWIT Agung Setiawan; Budi Yanto
RJOCS (Riau Journal of Computer Science) Vol. 4 No. 2 (2018): Riau Journal of Computer Science
Publisher : RJOCS (Riau Journal of Computer Science)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30606/rjocs.v4i2.1623

Tanaman kelapa sawit unggul bisa berasal dari persilangan dari berbagai sumber sperti inter and intra specific crossing, disamping itu bahan tanaman kelapa sawit unggul juga bisa dihasilkan dari pemulihan pada tingkat molikuler yang diperbanyak secara vegetative dengan teknik kultur jaringan, bahan tanaman kelapa sawit yang umum ditanam diperkebunan komersial yaitu persilangan dura x pisifera (D x P) yang disebut tenera. Dari hasil perhitungan dengan menggunakan metode Simple Additive Weighting, didapatkan nilai yang terbesar 0.82 terdapat pada V2, sehingga alternatif A2 yaitu bibit socfindo yang terpilih sebagai alternatif terbaik. Pada sistem pedukukung keputusan pemilihan bibit kelapa sawit ini ada beberapa yang menjadi pokok acuan dasar kriterianya adalah rendemen, jenis tanah, temperatur udara, ketinggian daerah, dan curah hujan (dengan pembagian merata sepanjang tahun) karena berdasarkan kriteria tersebut dapat dijadikan sebagai bahan pemilihan bibit kelapa sawit yang baik dan berkualitas

PROTOTIPE SISTEM PENDUKUNG KEPUTUSAN PENDETEKSIAN KONDISI BAYI DENGAN FUZZY TSUKAMOTO Agung Setiawan; Budi Yanto; Kiki Yasdomi
RJOCS (Riau Journal of Computer Science) Vol. 4 No. 2 (2018): Riau Journal of Computer Science
Publisher : RJOCS (Riau Journal of Computer Science)

Baby condition is a condition that is vulnerable to environmental changes, especially weather changes. Knowledge of a mother in maintaining baby health should also be considered, especially in terms of nutritional intake. A healthy baby's condition affects the baby's growth and development. The creation of a decision support system should be preceded by collecting and analyzing data according to need. In this study using baby feeding variables, namely Body Temperature (37.70c), Fuss (2.4), Restless (4.5), BABSering (3.7), BABEncer (5.6), Bloating (3.5), Nausea (3.7), Vomiting (3.2 ), Stomach Pain (2.7) and Itchy Skin (2.8). The results of the calculations will result in defoliation as follows: Measles (1.48), Septis (1.48), Diarrhea (1.48), ISPA (7.36), Enteritis (0.77), Miliaria (1.48), OMP (1.48) and Varicela (1.48). The range of fuzzy values ranges from 0 to 1, so the results obtained that the baby has enteritis or stomach problems. The calculation of defuzification obtained result of 8.1, so the condition of the baby is very sick and should be handled immediately by bringing to the medical personnel

PELATIHAN PENGEMBANGAN KETERAMPILAN PEMBUATAN BLOG DAN WEBSITE BAGI SISWA SMK TERPADU BINA INSAN MANDIRI Budi Yanto; Danil Sundriyanto; Nindi Novianti; Silvia Silvia; Asep Supriyanto; Yulaini Yulaini
PAKDEMAS : Jurnal Pengabdian Kepada Masyarakat Vol 1 No 2 (2022): April
Publisher : Fakultas Pertanian

Kegiatan ini dibuat bertujuan untuk memecahkan permasalahan yang ada dilapangan seperti kurangnya pemahaman materi yang diberikan guru karena minimnya praktikum, khususnya siswa SMK Terpadu Bina Insan Mandiri Jurusan Teknik Komputer dan Jaringan. Kegiatan pelatihan tersebut diberikan materi mengenai blog dan website serta praktikum. Materi yang diangkat disesuaikan dengan permintaan pihak sekolah. Setelah diadakan pelatihan tersebut selama 1 hari dengan jumlah total 5 jam maka didapatkan hasil kegiatan tersebut siswa SMK sudah bisa memahami materi dan praktikumnya. Para siswa sangat senang karena dapat menambah ilmu pengetahuan dan meningkatkan kreatifitas dalam mendasain blog dan website.

PKM Blended Learning dengan Google Classroom for Education bagi Guru SMA Sederajat di Kecamatan Tambusai Provinsi Riau Budi Yanto; Agung Setiawan; Rijalul Husni
QALAMUNA: Jurnal Pendidikan, Sosial, dan Agama Vol 12 No 1 (2020): Qalamuna - Jurnal Pendidikan, Sosial, dan Agama
Publisher : Lembaga Penerbitan dan Publikasi Ilmiah Program Pascasarjana IAI Sunan Giri Ponorogo

In accordance with its development, especially in the era of disruption 4.0 that future teachers should be able to present the appropriate module that meets passion of students, in the era of the development of emerging technology, the modules used in the study are not always use the conventional modules such as paper-based modules. Rather, the future teacher must be able to present course material in the form of modules that can be accessed online by students. Teachers must be able to present the joyful and innovative learning, i.e. learning that blends hands on and mind on, problem-based leraning and project based learning The goal is to create an active learning, creative and fun. Google Classroom for Education is one of the features of the free Google product that can be used as a medium of blended learning. With a variety of features it has, Google Classroom can be used to demonstrate or visualize concept of lessons with no face to face needed. Community Partnership program is one of the mentoring, coaching, and training activities to high school teachers in Tambusai in Rokan Hulu, Riau. The results of this activity is expected to build teachers who are capable of designing learning program by utilizing Google Classroom for Education as a medium of learning that is blended and occurs in digital paperless classroom. Keywords: blended learning, Google Classroom, paperless Abstrak Sesuai dengan perkembangannya terutama pada era disrupsi 4.0 yaitu guru masa depan harus mampu menyajikan modul sesuai minat siswa, di era perkembangan teknologi yang semakin berkembang, modul yang digunakan dalam pembelajaran tidak selalu menggunakan modul konvensional seperti modul berbasis paper. Melainkan guru masa depan pun harus mampu menyajikan materi pelajaran dalam bentuk modul yang bisa diakses secara daring oleh para siswa. Guru masa depan harus mampu menyajikan pembelajaran yang menyenangkan dan inovatif, yakni pembelajaran yang memadukan hands on and mind on, problem based learning dan project based learning. Tujuannya adalah untuk menciptakan pembelajaran yang aktif, kreatif dan menyenangkan. Google Classroom for Education merupakan salah satu fitur dari produk Google yang dapat dimanfaatkan sebagai media blended learning. Dengan berbagai fitur yang dimilikinya, Google Classroom dapat digunakan untuk mendemontrasikan atau memvisualisasikan konsep-konsep pelajaran secara online tanpa mesti tatap muka. Kegiatan Pengabdian Kemitraan Masyarakat ini merupakan salah satu kegiatan pendampingan, pembimbingan, dan pelatihan kepada Guru SMA di Kecamatan Tambusai di kabupaten Rokan Hulu, Riau. Hasil dari kegiatan pengabdian ini diharapkan dapat melahirkan guru yang mampu merancang pembelajaran dengan memanfaatkan Google Classroom for Education sebagai media pembelajaran blended learning dalam kelas digital tanpa kertas (paperless). Kata kunci: pembelajaran campuran, Google Classroom, pembelajaran tanpa kertas

Smart Home Monitoring Pintu Rumah Dengan Identifikasi Wajah Menerapkan Camera ESP32 Berbasis IoT Budi Yanto; Basorudin Basorudin; Saiful Anwar; Adyanata Lubis; Karmi Karmi
Jurnal Sisfokom (Sistem Informasi dan Komputer) Vol 11, No 1 (2022): MARET
Publisher : ISB Atma Luhur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32736/sisfokom.v11i1.1180

The Smart Home security system for house door locks with the face of the homeowner uses ESP32Cam as a face detection camera in case of problems that occur with a lack of home security so that criminals can break into the door of the house. So the need for a tool that can increase the security of the door so that it is not easily opened. The face protection process is in accordance with what is input to the system camera ESP32Cam; the relay automatically gives the command to open the door to the magnetic solenoid so that the door is opened. Testing tools through the method experimental (trial and error) the tool works well and helps homeowners in increasing home security by 97% suitable for use and functioning with a distance of 5-10 cm.

Klasifikasi Tekstur Kematangan Buah Jeruk Manis Berdasarkan Tingkat Kecerahan Warna dengan Metode Deep Learning Convolutional Neural Network Budi Yanto; Luth Fimawahib; Asep Supriyanto; B.Herawan Hayadi; Rinanda Rizki Pratama
Jurnal Inovtek Polbeng Seri Informatika Vol 6, No 2 (2021)
Publisher : P3M Politeknik Negeri Bengkalis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35314/isi.v6i2.2104

Sweet orange is very much consumed by humans because oranges are rich in vitamin C, sweet oranges can be consumed directly to drink. The classification carried out to determine proper (good) and unfit (rotten) oranges still uses manual methods, This classification has several weaknesses, namely the existence of human visual limitations, is influenced by the psychological condition of the observations and takes a long time. One of the classification methods for sweet orange fruit with a computerized system the Convolutional Neural Network (CNN) is algorithm deep learning to the development of the Multilayer Perceptron (MLP) with 100 datasets of sweet orange images, the classification accuracy rate was 97.5184%. the classification was carried out, the result was 67.8221%. Testing of 10 citrus fruit images divided into 5 good citrus images and 5 rotten citrus images at 96% for training 92% for testing which were considered to have been able to classify the appropriateness of sweet orange fruit very well. The graph of the results of the accuracy testing is 0.92 or 92%. This result is quite good, for the RGB histogram display the orange image is good

KLARIFIKASI KEMATANGAN BUAH NANAS DENGAN RUANG WARNA HUE SATURATION INTENSITY (HSI) Budi Yanto; jufri jufri; Adyanata Lubis; B.Herawan Hayadi; Erna Armita, NST
Jurnal Inovtek Polbeng Seri Informatika Vol 6, No 1 (2021)
Publisher : P3M Politeknik Negeri Bengkalis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35314/isi.v6i1.1882

Pineapple fruit is included in the type of tropical fruit, which is quite popular because it contains a lot of Vitamin C, which is quite high. Pineapple is a local fruit in the Kampar area, this fruit can be consumed directly and become other local processed products. Therefore, the quality of pineapple ripeness must be maintained. The problem that occurs at this time is that the pineapple fruit selection process is still done manually, by looking at it visually, so mistakes can occur in the process of clarifying pineapple fruit identification according to standards. Therefore, it is necessary to research the ripeness of pineapples using the Color Space Algorithm Hue Saturation Intensity (HIS). The variables to be input are based on photos of ripe, half ripe, and raw pineapples using a smartphone camera or DSLR camera with a minimum resolution of 8 MP. Clarifying the results with image processing and Hue Saturation Intensity (HIS) transformation has an accuracy rate of 80% for the 20 image test data. So that the expected results can help pineapple farmers in detecting the level of maturity of pineapple fruit, which is difficult, can minimize errors in determining the ripeness of pineapple fruit

Penerapan Metode Inferensi Fuzzy Takagi Sugeno-Kang Untuk Prediksi Hasil Panen Kelapa Sawit Budi Yanto; erni Rouza; edi saputra
JISA(Jurnal Informatika dan Sains) Vol 2, No 2 (2019): JISA(Jurnal Informatika dan Sains)
Publisher : Universitas Trilogi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31326/jisa.v2i2.496

Palm oil is one of the main crops and seeds in Indonesia. In oil palm plantations, oil palm crops are the most important things. Oil palm crops in the right time and quantity are what the farmers want. Therefore, harvest prediction using as reference of palm oil harvest target. Determination of harvest targets required a method that is able to predict the yield of oil palm. In this research, built a system of fuzzy inference with TSK method (Takagi Sugeno Kang), which aims to predict the yield of oil palm farmers. The fuzzy rules in the form of IF antecedent THEN are consequent, using consequent linear equations of the input variables. The coefficients of each variable of linear equation are consequently derived based on the expected yield of the harvest. The results of prediction testing of Palm Oil harvest production in 3 seasons, namely Dry Season, Rainy Season, Fertilization, input the number by values of variable with to the given range prove that the fuzzy inference of the TSK method can calculate palm il crop predictions well.

Prototype Sistem Deteksi Dini Kebakaran Hutan (Sd2kh) dengan Sensormatik Agung Setiawan; Budi Yanto
Prosiding SISFOTEK Vol 2 No 1 (2018): SISFOTEK 2018
Publisher : Ikatan Ahli Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (580.914 KB)

The island of Sumatra, especially Riau province every year continues to be encroached forest land into plantation land. This land conversion is generally done by burning the land for plantations, resulting in a national disaster in the form of forest fires. The condition of the land in Riau province is largely peat land and resulted in the difficulty of being extinguished during a fire, especially if the fire condition is large and spread. With the condition of peat lands, forest fires have a wider impact with the smoke haze that is difficult to overcome, thus becoming a national disaster. Weather conditions that are increasingly extreme dry season due to global warming, resulting in forest fires become more severe and affect all aspects of community life and animals in the forest. To solve the above problem, we need a detection tool which in the research will be made sistem deteksi dini kebakaran hutan (SD2KH) connected with Internet of Things (IoT), and integrated with mobile phone number of related agencies through SMS gateway. With this tool, it is hoped that the handling of smoke will soon be handled by the relevant agencies, so that the impact of smoke will not become widespread and become a national disaster.

Co-Authors Adyanata Lubis Adyanata Lubis Agung Setiawan Ali Djamhuri Aris Sudaryanto Asep Supriyanto Asep Supriyanto Asep Supriyanto B. Herawan Hayadi Basorudin Basorudin Danil Sundriyanto Dimas Sasongko edi saputra Erna Armita, NST Erni Rouza, Erni Fitri Elfiani Hendri Jufri - Jufri Jufri Karmi Karmi Kiki Yasdomi Kridoyono, Agung Luth Fimawahib Muhammad Wali Nindi Novianti Novica Ogidia Bella Rijalul Husni Rinanda Rizki Pratama Risnofiardi Risnofiardi Rizki Anla Pater Romadhan Lubis Saiful Anwar Satria Riki Mustafa, Satria Riki Silvia Silvia Siska Amelya Siti Rahma Yulaini Yulaini

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