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All Journal Jurnal Ners Indonesia Komunikasi Fisika Indonesia Jurnal Online Mahasiswa (JOM) Bidang Teknik dan Sains Sinergi Jurnal Informatika dan Teknik Elektro Terapan Jurnal Pengabdian UntukMu NegeRI JURNAL MEDIA INFORMATIKA BUDIDARMA IT JOURNAL RESEARCH AND DEVELOPMENT Prosiding Seminar Nasional Teknoka INOVTEK Polbeng - Seri Informatika JPPM (Jurnal Pengabdian dan Pemberdayaan Masyarakat) International Journal of Electrical, Energy and Power System Engineering (IJEEPSE) Jurnal Teknologi Informatika dan Komputer JINAV: Journal of Information and Visualization Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer) Journal of Applied Computer Science and Technology (JACOST) Jurnal PkM (Pengabdian kepada Masyarakat) Journal of Ocean, Mechanical and Aerospace -science and engineering- (JOMAse) Malcom: Indonesian Journal of Machine Learning and Computer Science SATIN - Sains dan Teknologi Informasi BATOBO: Jurnal Pengabdian Kepada Masyarakat CSRID INOVTEK Polbeng - Seri Informatika
Feri Candra
Universitas Riau
Religion Aerospace Engineering Arts Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Nursing Physics Public Health Social Sciences Veterinary Other

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Klasifikasi Kualitas Varietas Benih Jagung Bima 20 Menggunakan Metode Random Forest Muhamad Zahara Anugrah Putra; Feri Candra; Esa Prakasa
Jurnal Teknologi Informatika dan Komputer Vol. 10 No. 2 (2024): Jurnal Teknologi Informatika dan Komputer
Publisher : Universitas Mohammad Husni Thamrin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37012/jtik.v10i2.2177

Abstract

Varietas benih jagung Bima-20 merupakan salah satu varietas yang populer dan banyak digunakan oleh petani. Namun, untuk memastikan kualitas benih yang dihasilkan, diperlukan metode yang dapat membedakan kualitas benih Bima-20 dengan akurasi tinggi. Salah satu cara untuk meningkatkan akurasi dalam proses grading benih jagung adalah dengan menggunakan teknologi pengolahan citra digital. Beberapa fitur yang dapat diekstraksi dari citra digital antara lain bentuk, tekstur, dan warna. Karakteristik bentuk benih jagung dapat diekstraksi dengan menggunakan metode segmentasi citra dan ekstraksi fitur bentuk seperti area dan perimeter atau keliling. Sedangkan karakteristik tekstur benih jagung dapat diekstraksi dengan menggunakan fitur gray-level co- occurrence matrix (GLCM) serta dapat diklasifikasi menggunakan metode Random Forest. Metode Random Forest adalah salah satu metode yang populer dalam klasifikasi citra. Metode ini menggunakan kombinasi dari beberapa pohon keputusan (decision tree) untuk mengklasifikasikan data. Kelebihan dari metode Random Forest adalah kemampuannya dalam mengatasi overfitting dan mampu menghasilkan prediksi yang akurat. Dengan menerapkan ekstraksi fitur dan metode tersebut menghasilkan bahwa ekstraksi fitur tekstur menggunakan Gray Level Co- occurrence Matrix (GCLM) dan ekstraksi fitur bentuk memperoleh nilai yang dapat diklasifikasikan menggunakan metode random forest. Hasil klasifikasi yang diperoleh tersebut memiliki tingkat akurasi 100% akurat sesuai dengan pernyataan melalui survei yang dilakukan kepada seorang kepala SMK di Pesantren Teknologi Riau dan juga seorang guru dalam bidang pertanian di Pesantren Teknologi Riau yaitu ibu Azrida Syamsi M.Si.
Analisis Sentimen Ulasan Toko Online Halona Beauty Care Untuk Peningkatan Layanan Menggunakan Algoritma Naïve Bayes Rani, Mutia Mustika; Candra, Feri
Jurnal Inovtek Polbeng Seri Informatika Vol 8, No 2 (2023)
Publisher : P3M Politeknik Negeri Bengkalis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35314/isi.v8i2.3348

Abstract

Pesatnya perkembangan teknologi telah memberikan dampak yang luar biasa bagi kehidupan manusia, termasuk dalam bidang e-commerce. E-commerce memberikan kesempatan kepada pengguna untuk melakukan transaksi barang dan jasa tanpa batasan jarak dan waktu, selama pengguna memiliki akses internet. Namun, karena maraknya penipuan online, tidak jarang pelanggan ragu untuk membeli produk secara online. Hal ini membuktikan bahwa kepercayaan pelanggan berpengaruh signifikan terhadap niat membeli produk di e-commerce. Review dari customer akan sangat berpengaruh kepada calon pelanggan sebagai acuan tolok ukur untuk menemukan informasi. Penelitian ini bertujuan untuk mengklasifikasikan dan menganalisis review customer terhadap toko online Halona Beauty Care yang ada di shopee menggunakan algoritma Naive Bayes Classifier (NBC). Hasil analisis dengan menggunakan NBC menunjukkan hasil akurasi sebesar 93%. Hasil dari sentimen positive dapat dijadikan sebagai acuan untuk menjaga kualitas layanan, sedangkan hasil dari sentimen negative digunakan sebagai bahan evaluasi untuk peningkatan layanan.
Rancang Bangun Sistem Realtime Notification Progress to Customer Berbasis Website Novtarina, Dita Aulia; Candra, Feri
Jurnal Inovtek Polbeng Seri Informatika Vol 9, No 1 (2024)
Publisher : P3M Politeknik Negeri Bengkalis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35314/isi.v9i1.4199

Abstract

PT Agung Automall SM. Amin Pekanbaru is a branch of PT Agung Automall, a company operating in the automotive sector. PT Agung Automall SM. Amin, there are several divisions of work, one of which is the Body Paint (BP) division. Problems that arise in the Body Paint (BP) division is that the current system in Body Paint (BP) is less effective, it's because customers have difficulty knowing the progress of their cars. Customers are required to ask the service advisor to find out the progress of their car service. However, with a work system like this, human error often occurs, such as service advisors forgetting/being late in providing information on customer car service progress to customers. Therefore, a system is needed that can provide WhatsApp notifications of customer car service progress. This system uses the WhatsApp API to send notifications to customers. The design stages of this system use the prototype development method. This research produces a Website-based Realtime Notification Progress System that can be used by customers to see the progress of their car. Testing of this system was carried out using black box testing and showed that the system was running well.
The Best Smartphone Brand using The Preference Selection Index Method Angriawan, Sherkhing; Dewi Nasien; M. Hasmil Adiya; Roni Sanjaya; Yenny Desnelita; Feri Candra
International Journal of Electrical, Energy and Power System Engineering Vol. 5 No. 2 (2022): International Journal of Electrical, Energy and Power System Engineering (IJEEP
Publisher : Electrical Engineering Department, Faculty of Engineering, Universitas Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31258/ijeepse.5.2.37-44

Abstract

The existence of the Covid-19 pandemic has had a tremendous impact in all aspects, including the educational aspect. Before the pandemic, education generally is done by face-to-face learning, but after the pandemic hit, it changed to online learning. Several problems often occur during online learning education, especially for college students, such as a mobile phone that does less support for online learning activities. Hence, the author wants to build an application that has the function of helping users to choose a mobile phone which supports online learning activities. The selection decision used by the author is the Preference Selection Index method since it can determine the value for each attribute and continue with a ranking that is able to select each attribute from the best alternative from several existing alternatives, with the help of a decision support system and application of the PSI (Preference Selection Index) method. The result indicates that the highest value obtained from smartphone selection with an average price under 3 million rupiah is infinix by 90.88%. The application's output meets the purpose because it is able to provide recommendations to buyers in determining which smartphone to buy and can simplify the decision-making process to become more accurate, effective, and efficient in generating information.
Design Android-Based Car Rental Management Application Using Prototype Method Naufal Fikri Aulia; Feri Candra
International Journal of Electrical, Energy and Power System Engineering Vol. 6 No. 3 (2023): The International Journal of Electrical, Energy and Power System Engineering (I
Publisher : Electrical Engineering Department, Faculty of Engineering, Universitas Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31258/ijeepse.6.3.176-182

Abstract

Inayah's car rental is one of the business sectors in the field of transportation services at Pekanbaru, Riau. Inayah car rental carries out management activities for car rental management that can be rented from daily to monthly. Management of rental transactions is currently done manually by recording customer data and storing customer guarantees in the archives that have been provided. Problems arise when the data is lost or damaged while the car is on the customer's side. In addition, other issues arise when a customer cancels suddenly on that day, or the customer's uncertainty about car rental will impact other customers who are serious about renting a car at that time. From these problems, we need a system that can automatically manage, store, and manage car rental transactions using Android. The development method in this study uses the prototype development method. The Prototype is a development method that involves users in system development. Based on the research results, we get a very good interpretation of the standard quality of the ISO 25010 system test, functional, performance, reliability, maintainability, security, usability, and efficiency.
Implementation of Apriori Algorithm for Data Mining on Sales Transaction Data Hana Bernika Sabila; Feri Candra
International Journal of Electrical, Energy and Power System Engineering Vol. 6 No. 3 (2023): The International Journal of Electrical, Energy and Power System Engineering (I
Publisher : Electrical Engineering Department, Faculty of Engineering, Universitas Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31258/ijeepse.6.3.189-193

Abstract

Angkasa Mart Store is currently experiencing a decline in sales for specific products, leading to the implementation of the Apriori Algorithm to create bundled offerings that combine less popular items with top-selling products, aiming to revitalize sales and promote the underperforming inventory. Following the CRISP-DM methodology, the study analyzes sales transaction data from June to July 2022, covering 65,892 purchased items, to extract ten critical association rules essential for devising bundled packages. The study's findings propose two strategies for package composition: first, the development of bundled packages comprising strongly related products, identified through comprehensive data analysis and positively received by the store; second, the introduction of 21 bundled packages consisting of products with a relatively weaker relationship, effectively expanding consumer choices and encouraging additional purchases within the store. By implementing the Apriori Algorithm and adhering to the CRISP-DM methodology, this study effectively formulates bundled product packages for Angkasa Mart Store, addressing the challenge of declining sales and contributing to an overall improvement in business performance and customer satisfaction.
DESAIN SISTEM DATA POTENSI DESA BERBASIS ANDROID UNTUK PEMBANGUNAN WILAYAH Andhi, Rahmat Rizal; Susilo, Edi; Candra, Feri
Jurnal Informatika dan Teknik Elektro Terapan Vol 12, No 3 (2024)
Publisher : Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jitet.v12i3.4944

Abstract

Percepatan pembangunan desa berkelanjutan di Provinsi Riau membutuhkan data potensi desa sesuai karakteristik desa dan indikator capaian SDGs yang akurat dan komprehensif. Upaya pendataan potensi desa telah dilakukan dengan monografi desa namun memiliki permasalahan berupa: (1) terbatasnya kapasitas sumber daya manusia; (2) terbatasnya pendanaan; (3) sistem pendataan dilakukan secara manual (pencatatan); (4) Data usang (Outdate); (5) Akses data terbatas (Offline); dan (6) Waktu pencarian data saat dibutuh lama. Untuk itu diperlukan penyediaan data potensi desa yang bersifat komputerisasi dan dalam jaringan (online). Berdasarkan kondisi tersebut maka dilakukan penelitian Desain Sistem Data Potensi Desa Berbasis Android untuk mendukung SDGs Riau. Penelitian ini bertujuan untuk merancang sistem data potensi desa berbasis android yang memuat data sesuai indikator Potensi Desa (BPS) dan SDGs terpilih sesuai kebutuhan masyarakat dalam perencanaan pembangunan desa yang berkelanjutan. Pengembangan sistem data potensi desa berbasis android dilakukan dengan metode System Development Life Cycle (SDLC). Hasil penelitian diperoleh 673 indikator kebutuhan data potensi desa yang perlu dikembangkan. Penelitian ini telah menghasilkan produk aplikasi Sistem Data Potensi Desa (SidaPodes) yang dapat diakses di Google Play Store. Aplikasi SidaPodes tersebut telah digunakan oleh 600 pengguna dan menerima 1.300 data. Penilaian pengguna terhadap aplikasi tergolong sangat baik.
Design and Implementation of Arduino-Based PID Control System for Water Level Regulation Using Ultrasonic Sensors Efendi, Mas; Candra, Feri
Journal of Ocean, Mechanical and Aerospace -science and engineering- Vol 69 No 1 (2025): Journal of Ocean, Mechanical and Aerospace -science and engineering- (JOMAse)
Publisher : International Society of Ocean, Mechanical and Aerospace -scientists and engineers- (ISOMAse)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36842/jomase.v69i1.527

Abstract

Water resource management is a critical aspect of various sectors, including agriculture, industry, and household applications, where maintaining optimal water levels is essential for efficiency, sustainability, and safety. Traditional water level control methods often rely on manual operations, leading to inefficiencies, resource wastage, and potential system failures. To address these challenges, this study presents the design and implementation of an automated water level control system using a Proportional-Integral-Derivative (PID) controller, an HC-SR04 ultrasonic sensor, and an Arduino Uno microcontroller. The system is designed to enhance accuracy and reliability in liquid level regulation, particularly in industrial and domestic settings. By systematically tuning the Proportional Gain (Kp), Integral Gain (Ki), and Derivative Gain (Kd), the optimal parameter values were determined as Kp = 20.0, Ki = 11.0, and Kd = 1.0. Experimental results demonstrated that the proposed system achieves stable water level regulation with rapid response times and minimal deviations. This research contributes to the advancement of automated liquid control technologies, offering a cost-effective and efficient solution for real-world water management applications.
News Classification using Natural Language Processing with TF-IDF and Multinomial Naïve Bayes Nadira Alifia Ionendri; Feri Candra; Afdi Rizal
Journal of Applied Computer Science and Technology Vol 6 No 1 (2025): Juni 2025
Publisher : Indonesian Society of Applied Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52158/jacost.v6i1.1099

Abstract

Online news contains valuable insights into public phenomena that can support statistical analysis by institutions like BPS Riau. However, current methods of classifying news are manual, time-consuming, and prone to human error. This study proposes an automated news classification system using Natural Language Processing (NLP) techniques with Term Frequency–Inverse Document Frequency (TF-IDF) for feature extraction and the Multinomial Naïve Bayes algorithm for classification. The dataset was collected via web scraping and manually labeled across five statistical categories: poverty, unemployment, democracy, inflation, and economic growth. The system achieved a validation accuracy of 83%, a test accuracy of 90%, with an average precision of 0.85, recall of 0.93, and f1-score of 0.87. These results demonstrate that the proposed system can significantly reduce the manual workload of news classification and be practically implemented by BPS Riau to support accurate and timely statistical reporting.
Pengembangan Virtual Lab Menggunakan Animasi 3D di Sekolah Alam CEFA Islamic School Provinsi Riau Andhi, Rahmat Rizal; Candra, Feri; Susilo, Edi; Ramadhani, Dian; Taufik Ali, Irsan; Yudi Hadiwandra, Tengku
BATOBO: Jurnal Pengabdian Kepada Masyarakat Vol 1 No 1 (2023): BATOBO: Juni 2023
Publisher : Jurusan Teknik Elektro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31258/batobo.1.1.17-28

Abstract

Pengabdian Kepada Masyarakat dilatar belakangi oleh pentingnya media pembelajaran virtual lab berbasis android pada materi suhu dan kalor. Tujuan Pengabdian Kepada Masyarakat ini untuk medeskripsikan tampilan media pembelajaran virtual lab berbasis android pada materi suhu dan kalor, menganalisis hasil uji validasi, dan kelayakan media. Metode Pengabdian Kepada Masyarakat Research and Development (R&D) dengan model ADDIE (Analysis, Design, Development, Implementation, and Evaluation). Tampilan virtual lab terdiri dari delapan menu utama, yaitu splash screen, menu awal, kompetensi inti, kompetensi dasar, praktikum, glosarium, daftar pustaka, daftar isi. Virtual lab menyajikan praktikum suhu dan kalor yang berkaitan dengan kehidupan sehari-hari yang dilengkapi dengan animasi, gambar dan soal-soal. Kemudian pengguna harus mengisi pretest untuk mengetahui pemahaman awal, mengikuti serangkaian praktikum dan mengisi posttest untuk mengetahui pemahamannya. Informasi data peneliti dapat dilihat pada menu penyusun. Hasil uji validasi diperoleh dengan nilai rata-rata 89,32 %. Hasil uji kelayakan diperoleh nilai rata-rata 90,25 %. Berdasarkan hasil uji validasi dan kelayakan produk, virtual lab ini layak digunakan dalam proses pembelajaran.
Co-Authors Adiya, M. Hasmil Afdi Rizal Ahmad Syahfrizal Akbar, Nurhadi Aminuyati Anand, Barri Andhi, Rahmat Rizal Angriawan, Sherkhing Anhar Anhar Antonius Rajagukguk Bayu Fharadila Chairun Nisa Chi-chi Salsa Amaza Dani, Febry Rachma Darwin Manurung Delsavonita, Delsavonita Desnelita, Yenny Dewi Nasien Dina Lovita Sari Dina Veranita Edi Susilo Edi Susilo Efendi, Mas Esa Prakasa Esa Prakasa, Esa Faisal Karim Fathra Annis Nauli Fathur Rohman, Fathur Febiola, Dwi Suci Giovan Alshary Gressiva, Gressiva Hadiwandra, T Yudi Hamdani, Eddy Hana Bernika Sabila Herman Herman Hidayat, Ilham I. Yasri Indra Yasri IRSAN TAUFIK ALI JR Lessy Eka Putri Khairy, Khafizh Kurniawan Kurniawan Lukmannil Hakim Luthfi Afif Mailestari Wina Yance Minarni Minarni Minarni Shiddiq, Minarni Misrawati Misrawati Mohammad Fisal Rabin Monica Oktavianti Muhamad Zahara Anugrah Putra Muhammad Rizki Radhelan Muhammad Sandy Prastyo Muhammad Syafii Muhammad Syafii Nadira Alifia Ionendri Naufal Fikri Aulia Ningsih, Sri Purnama Noprizal Noprizal Noprizal, Noprizal Noveri Lysbetti M Novtarina, Dita Aulia Nurhalim Dani Ali Putra, Muhamad Zahara Anugrah Rabil Kurniawan RAHMAT WIBOWO Ramadhan Ramadhan Ramadhan Ramadhani, Dian Rani, Mutia Mustika Refli Erdinal Restuyoda, Raka Rezkiana, Nisa Tri Roby Esta Sunara Roni Sanjaya Saktioto Saktioto Salhazan Nasution Salsabilla Azahra Putri Setiabudi, Muhamad Indra Siti Komariah Siti Komariah Soesilo, Eddy Sri Wahyuni Suryani Suryani Syafiqoh, Nidya Nur Warman Fatra, Warman Yanda Sepri Yanifal Yudi Hadiwandra, Tengku Yusnita Rahayu Zulharman Zulharman Zulharman Zulharman