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All Journal Jurnal Teknologi Informasi dan Ilmu Komputer Riau Journal of Computer Science Jurnal Inovasi Hasil Pengabdian Masyarakat (JIPEMAS) JSAI (Journal Scientific and Applied Informatics) Building of Informatics, Technology and Science Zonasi: Jurnal Sistem Informasi Dinasti International Journal of Economics, Finance & Accounting (DIJEFA) JURNAL MASYARAKAT NEGERI ROKANIA Mejuajua KERNEL: Jurnal Riset Inovasi Bidang Informatika dan Pendidikan Informatika JOURNAL OF ICT APLICATIONS AND SYSTEM RJOCS (Riau Journal of Computer Science)
Budi Yanto, Budi
Program Studi Teknik Informatika Fakultas Ilmu Komputer Universitas Pasir Pangaraian Jl. Tuanku Tambusai, Kumu Kec. Rambah Hilir Kabupaten Rokan Hulu Telp, 081365929997
Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Engineering Environmental Science Languange, Linguistic, Communication & Media Public Health Social Sciences Other

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Penerapan BARS (Behaviorally Anchor Rating Scale) Berbasis Web Dalam Penilaian Kinerja Karyawan Rouza, Erni; Yanto, Budi
ZONAsi: Jurnal Sistem Informasi Vol 1 No 2 (2019): Publikasi Artikel ZONAsi : Jurnal Sistem Informasi, September 2019
Publisher : Universitas Lancang Kuning

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31849/zn.v1i2.3400

Abstract

Universitas Pasir Pengaraian (UPP)  adalah salah satu kampus yang terletak di kabupaten Rokan Hulu Provinsi Riau, sebagai instansi yang bergerak dibidang pendidikan, tentunya UPP membutuhkan suatu model baru untuk penilaian kinerja karyawan dalam mengevalusi dan mengukur kinerja karyawan sehingga harapan dari yayasan dapat tercapai dengan baik. Saat ini proses penilaian dan pengukuran kinerja karyawan masih menggunakan sistem yang manual, belum adanya teknologi IT ataupun sistem informasi sebagai alat bantu yang digunakan untuk proses pengarsipan, pencarian data  dan  mempercepat  proses pelaporan penilaian kinerja karyawan baik itu perbulan, pertiga bulan, bahkan pertahun. Selain itu penyebab lainnya adalah  belum ada pengarsipan pelanggaran yang telah dilakukan oleh pegawai, sehingga pimpinan baik itu di Prodi, Dekan dan lembaga yang ada di Universitas Pasir Pengaraian tidak mempunyai data yang jelas untuk penegasan punishment pelanggar pegawai tersebut. Maka dari itu, tujuan penelitian ini sendiri yaitu menganalisa, merancang, dan membangun suatu sistem informasi baru untuk penilaian kinerja karyawan menggunakan teknik penilaian BARS ( Behaviorally Anchor Rating Scale) berbasis web. Hasil penelitian berupa suatu sistem informasi yang dinamakan SIPENTAJA, yang menggunakan metode penilaian Behaviorally  Anchor  Rating  Scale (BARS). Dengan sistem informasi penilaian kinerja karyawan (SIPENTAJA) ini dapat mempermudah para pimpinan dalam menilai dan melaporkan kinerja pegawai dengan cepat dan tepat.
PENERAPAN BARS (BEHAVIORALLY ANCHOR RATING SCALE) BERBASIS WEB DALAM PENILAIAN KINERJA KARYAWAN Rouza, Erni; Yanto, Budi
ZONAsi: Jurnal Sistem Informasi Vol 1 No 2 (2019): Publikasi Artikel ZONAsi : Jurnal Sistem Informasi, September 2019
Publisher : Universitas Lancang Kuning

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31849/zn.v1i2.3690

Abstract

Universitas Pasir Pengaraian (UPP) adalah salah satu kampus yang terletak di kabupaten Rokan Hulu Provinsi Riau, sebagai instansi yang bergerak dibidang pendidikan, tentunya UPP membutuhkan suatu model baru untuk penilaian kinerja karyawan dalam mengevalusi dan mengukur kinerja karyawan sehingga harapan dari yayasan dapat tercapai dengan baik. Saat ini proses penilaian dan pengukuran kinerja karyawan masih menggunakan sistem yang manual, belum adanya teknologi IT ataupun sistem informasi sebagai alat bantu yang digunakan untuk proses pengarsipan, pencarian data dan mempercepat proses pelaporan penilaian kinerja karyawan baik itu perbulan, pertiga bulan, bahkan pertahun. Selain itu penyebab lainnya adalah belum ada pengarsipan pelanggaran yang telah dilakukan oleh pegawai, sehingga pimpinan baik itu di Prodi, Dekan dan lembaga yang ada di Universitas Pasir Pengaraian tidak mempunyai data yang jelas untuk penegasan punishment pelanggar pegawai tersebut. Maka dari itu, tujuan penelitian ini sendiri yaitu menganalisa, merancang, dan membangun suatu sistem informasi baru untuk penilaian kinerja karyawan menggunakan teknik penilaian BARS ( Behaviorally Anchor Rating Scale) berbasis web. Hasil penelitian berupa suatu sistem informasi yang dinamakan SIPENTAJA, yang menggunakan metode penilaian Behaviorally Anchor Rating Scale (BARS). Dengan sistem informasi penilaian kinerja karyawan (SIPENTAJA) ini dapat mempermudah para pimpinan dalam menilai dan melaporkan kinerja pegawai dengan cepat dan tepat
ELEKTRONIK PEMBELAJARAN SEMESTER (E-RPS) BERBASIS WEB FAKULTAS ILMU KOMPUTER UNIVERSITAS PASIR PENGARAIAN Yanto, Budi; Sari, Rika Perma
Riau Journal Of Computer Science Vol. 5 No. 2 (2019): Riau Journal of Computer Science
Publisher : Riau Journal Of Computer Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (957.074 KB)

Abstract

The teaching plan is a guideline for the learning process which is then known as the Semester Learning Plan (RPS). Objectives should be clearly formulated to be achieved by the material or material to be taught, teaching and learning activities and tools used, evaluation and reference sources in the form of reading books. In the Faculty of Computer Science in filling out the Semester Learning Plan still using a manual system using Microsoft Word. Each Lecturer must fill in the Semester Learning Plan by typing Semester Learning Plan data according to the course taken on the form already made in Microsoft Word. Therefore, it is necessary to make the application of the Computer Science Learning Plan application. The E-RPS aims to make it easier for lecturers to fill out the Semester Learning Plan. The results of this practical work in the form of a website-based application that can facilitate the lecturer in filling out the Semester Learning Plan and with the lecturer no longer need to explain the contents of the Semester Learning Plan to students, because each student can see or print their own results according to the course what our want
Penerapan Metode Inferensi Fuzzy Takagi Sugeno-Kang Untuk Prediksi Hasil Panen Kelapa Sawit Yanto, Budi; Rouza, Erni; Saputra, Edi
Riau Journal Of Computer Science Vol. 5 No. 2 (2019): Riau Journal of Computer Science
Publisher : Riau Journal Of Computer Science

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

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 is needed to be used 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 oil crop predictions well.
INDENTIFIKASI POLA AKSARA ARAB MELAYU DENGAN JARINGAN SYARAF TIRUAN CONVOLUTIONAL NEURAL NETWORK (CNN) Yanto, Budi; -, Basorudin; -, Jufri; Hayadi, B.Herawan
JSAI (Journal Scientific and Applied Informatics) Vol 3, No 3 (2020): Informatics Science and Implementation
Publisher : Fakultas Teknik Universitas Muhammadiyah Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36085/jsai.v3i3.1151

Abstract

Riau province has Malay Arabic script as a traditional cultural heritage of ancient characters that should be preserved; this script is adapted from Arabic writing. This script from Malay Arabic has a unique form that is different from the original Arabic writing adaptation, which is read in a combination of letters forming latin meanings as an introduction to the everyday language of Riau Malay people in the earlier kingdom. Malay Arabic writing became an introduction to the local content of traditional languages in schools. To foster a love for preserving culture, in accordance with current technology that is able to recognize scripting patterns when written in paper, a knowledge base was created by using Matlab software by applying a convolutional Neural Network (CNN) artificial neural network algorithm capable of recognizing script patterns well. The result of image input in the form of handwriting written on paper then in the scanner in the form of JPEG image format. Testing was carried out on four Arabic Malay characters namely alif, ha, la, kho and nun. The result of training for the letter alif (a) epoch is obtained 98 out of 100 iterations with a training length of 3 seconds, furthermore, in validation performance with a result of 0.25013 on epoch 92 of 98 epoch for gradient letters with a value of 0.0071991 on the next epoch 98 in the extras produces an accuracy value of 0.6548 which states the correct result accordingness because it is close to the alif script. In the process of train input the letter kho obtained epoch 80 out of 100 iterations with a training process for 3 seconds, validation performance 0.25153 on epoch 74 out of 80 epoch for check validation with a value of 0.0011682 on the next epoch 80 in the extras obtained an extra value of 0.9326 stated the value is incorrect. Because the result of the extras results in an image that does not come close to the kho letter. Therefore, a study of how the system can recognize Malay Arabic writing patterns with the Convolutional Neural Network (CNN) method because it is very good at identifying image pattern features with an accuracy value of 4.12% of the 10 sample image patterns that have been inputted. With the introduction of imagery patterns from the extraction of features scanned Malay Arabic characters can help the findings of ancient Malay Arabic script as morphological learning of the validity of abstraction of Malay Arabic script is good
Visualization of Covid-19 Data in Indonesia in 2022 through the Google Data Studio Dashboard Putra, Wahyu Eka; Yanto, Budi; Erwis, Fauzi
JOURNAL OF ICT APLICATIONS AND SYSTEM Vol 2 No 2 (2023): Journal of ICT Aplications and System
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56313/jictas.v2i2.238

Abstract

The COVID-19 pandemic has presented significant challenges to governments, researchers and the general public in understanding and monitoring the spread of this disease. In an effort to analyse the spread of COVID-19 disease in Indonesia effectively, this study uses Google Data Studio as a tool for data visualization and better understanding. This review is based on collecting data on the spread of COVID-19 disease in Indonesia which has been collected from various reliable sources. , including the World Health Organization (WHO) and national health agencies. This data is then processed and processed using Google Data Studio to produce informative visualizations. The results of the study show that Google Data Studio can be used effectively to analyse the spread of the COVID-19 disease in Indonesia. Through the use of available features, such as interactive graphs, maps, and tables, researchers can easily describe patterns of disease spread, infection rates, and recovery rates from an area or country. The quality of data collected from different sources may vary, and this can affect the accuracy and reliability of the resulting visualizations. Elements of the Scorecard that displays some important information related to the Covid-19 pandemic from 1 January 2019 to 31 January 2022. Information regarding the Covid-19 displayed on the Scorecard is as follows. The total survivors of the Covid-19 disease are 3,234,336,858 people. This indicates the number of people who have successfully recovered and recovered from infection with the Covid-19 virus during the period in question. The total number of deaths due to Covid-19 is 89,398,496 people. This reflects the number of people who died due to complications caused by the Covid-19 virus in that period.
Perancangan dan Implementasi Konfigurasi Wifi Router dan Jaringan Wireless dengan Rb951ui-2nd Basorudin, Basorudin; Rouza, Erni; Yanto, Budi; Mustafa, Satria Riki
Building of Informatics, Technology and Science (BITS) Vol 3 No 3 (2021): December 2021
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (761.228 KB) | DOI: 10.47065/bits.v3i3.1036

Abstract

Computer networks are growing very rapidly, both in commercial institutions, the academic world, and even people's homes that need internet access. The internet is accessed by many people without exception of hackers and crackers.[1] In the configuration, the output generated is in the form of making a homepage for hotspot user logins, firewalls, namely blocking sites, RADIUS, Blocking internet access at a predetermined time and making SSID. This configuration is very necessary when we access the internet, especially for schools, because with the construction of this configuration, we can limit the use of internet access hours, and students are not allowed to access certain sites during study hours, for example YouTube, Facebook and others, with this configuration Wifi routers and teachers' wireless networks can also limit who can access the internet on certain days and certain hours, especially at SMK N 1 Pendalian 4 Koto. From the results of the trials that have been carried out, it shows success, starting from the internet connection test, both ping to the router and pinging to google, and also when teachers and students access the internet via hotspot login with the voucher that has been provided also successful, then the test results for time restrictions internet access has also been successful, site blocking has also been successfully carried out. So it can be concluded that the research on wifi router and internet configuration at SMK Negeri 1 Pendalian IV Koto has been successful
Klasifikasi Desain Pustaka Digital Wulandari, Silvia; Siregar, Intan; Rahmad Rusli, Miltri; Parabi, Faisal; Sulastri, Ika; Yanto, Budi
RJOCS (Riau Journal of Computer Science) Vol. 8 No. 1 (2022): RJOCS (Riau Journal of Computer Science)
Publisher : Fakultas Ilmu Komputer, Universitas Pasir Pengaraian

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30606/rjocs.v8i01.1190

Abstract

Perpustakaan digital merupakan perpustakaan yang telah mengikuti dalam modren dimana sistem pengoperasian nya sudah menggunakan teknologi otomatis dan format digital telah diterapkan pada Koleksi perpustakaan tersebut dimana format tersebut disimpan dalam bentuk file yang dapat diakses dengan cara komputerisasi,koleksi yang disimpan pada perpustakaan digital biasanya berbentuk file foto,tulisan,Suara,video serta grafik.Perancangan perpustakaan digital meliputi beberapa hal yaitu Knowledge society, Knowledge management, Knowledge Creation, and Knowledge Management System. Sedangkan perancangan nya didasari dari beberapa struktur yaitu struktur rancangan, konfigurasi enam ware, implementasi dan evaluasi koneksi. Perpustakaan digital dirancang mengikuti zaman agar memudahkan mendapatkan informasi dan dapat menemukan buku yang dicari dengan mudah akan tetapi terdapat beberapa masalah dalam perpustakaan digital tersebut salah satunya adalah masalah penginput data dan hak cipta yang dilindungi oleh penerbit
Rancangan Bangunan Aplikasi Pendataan Titik Tower Isp Rokan Hulu Berbasis GIS Nasution, Yandi; Yanto, Budi; Rangga Bakti, Imam; Rahayu, Dian; Fasha, Ulya; Melani, Tasya
RJOCS (Riau Journal of Computer Science) Vol. 8 No. 1 (2022): RJOCS (Riau Journal of Computer Science)
Publisher : Fakultas Ilmu Komputer, Universitas Pasir Pengaraian

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30606/rjocs.v8i01.1192

Abstract

Sistem Informasi Geografis (GIS) atau sistem infomasi keruangan adalah informasi sistem computer yang memungkinkan penangkapan, pencobtohan, pemanupulasian, pemudahan kembali penganalisasian, dan presentasi data acuan geografis, sebagai fasilitan untuk menyiapkan, mempresentasikan, dan menginterpretasi fakta-fakta yang berkaitan dengan permukaan bumi. Dalam pembangunan sistem ini nantinya peneliti menggunakan beberapa tools dan bahasa pemograman seperti PHP dikhususkan untuk pengembangan atatu bahasa pemrograman MYSQL sebagai databases penyimpanan data serta google maps untuk memperlihatkan peta. Tujuan dari kerja praktek ini adalah untuk membuat Aplikasi Pendataan Titik Tower ISP Rokan Hulu Berbasis GIS (studi kasus : Dinas Komunikasi dan Informatika).
Penerapan Finite State Automata Pada Pencarian Rumah Sakit Dan Klinik Terdekat (Studi Kasus: Rumah Sakit Dan Klinik Wilayah Pasir Pengaraian) Irawan Zai, Feri; Rahmadani, Dwi; Listio, Bayu; Supriyanto, Asep; Yanto, Budi
RJOCS (Riau Journal of Computer Science) Vol. 8 No. 1 (2022): RJOCS (Riau Journal of Computer Science)
Publisher : Fakultas Ilmu Komputer, Universitas Pasir Pengaraian

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30606/rjocs.v8i01.1193

Abstract

Pasir Pengaraian adalah kota tropis kecil yang menawarkan berbagai masakan unik dan atraksi. Pasir Pengaraian juga memiliki berbagai fasilitas kesehatan di rumah sakit dan klinik. Ini sangat penting bagi mereka yang membutuhkan. Rumah sakit dan klinik bagi banyak pendatang dari pinggiran kota, terutama dari daerah terpencil. Penelitian ini dilakukan untuk mencari rumah sakit dan klinik terdekat dengan menggunakan finite state machine (FSA) yang menggunakan konsep nondeterministic finite state machine (NDFA). Pengguna membaca input yang mewakili rute ke rumah sakit terdekat. Lokasi klinik. Mesin keadaan hingga sangat cocok untuk studi kasus dalam penelitian ini. Sebagai hasil dari survei ini, kami sekarang dapat mencari rumah sakit atau klinik terdekat sehingga pengguna dapat dengan mudah mengakses informasi.
Co-Authors -, Basorudin Adyanata Lubis Afdol, Pangeran agung setiawan Aini, Yulfita Akhmad Zulkifli Ali Djamhuri Alifiansyah, Eldi Almadison Alvito Dian Deva Amri, Rafelina Andriani Andriani Anjeli, Riri Arfandi, Zirhan ARIF KURNIAWAN Arif Mukti, Muhammad Asmen, Faisal B. Herawan Hayadi Bakti, Imam Rangga Bangkit Habiburrohman Basorudin, Basorudin Crisdianto, Ahlul Cut Nayla Husin Dede Fadhillah Dian Rahayu Dimas Sasongko EDI SAPUTRA Eka Putra, Wahyu Enda Ribka Meganta P ENDRI ENDRI Erni Rouza, Erni Erwis, Fauzi Ezra Ariendy Widodo Fasha, Ulya Fatimah Firmansyah Firdaus Hasri Ainun Pratiwi Hidayatullah, Riski Hutagaol, Ramses Inal, Inal Indah Wahyuni Irawan Zai, Feri Iskandar Zulkarnain, Wisnu Ismi Asmita Jufri -, Jufri Khairul Sabri Kiki Yasdomi Kridoyono, Agung Listio, Bayu Luth Fimawahib Meisaroh Melani, Tasya Muhammad Arif Muhammad Hafis Maulana Muhammad Wali, Muhammad Nasution, Yandi Ni Putu Nina Eka Lestari Ogidia Bella, Novica Parabi, Faisal Pratama, Rinanda Rizki Putra, Wahyu Eka Rahmad Rusli, Miltri Rahmadani, Dwi Rahman, Ripatullah Ramadani, Hendrizal Riski Mai Candra Sabri, Khairul Samsul Bahri Sari, Rika Perma Sastra, Amner Satria Riki Mustafa, Satria Riki Sholehatun, Euis Silvia Wulandari, Silvia Siregar, Intan Sudaryanto, Aris Sulastri, Ika Supriyanto, Asep Syarif Hasyim Zahara Zalzabila, Dea