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All Journal International Journal of Electrical and Computer Engineering Jurnal Inovasi Teknik Informatika Jurnal Pengabdian Masyarakat Bhinneka Malcom: Indonesian Journal of Machine Learning and Computer Science Journal of Artificial Intelligence and Digital Business KOLONI General Multidisciplinary Research Journal Journal on Pustaka Cendekia Informatika JES-TM Social and Community Service Journal of Integrated Knowledge and Innovation
Raja Joko Musridho
Program Studi Teknik Informatika, Universitas Pahlawan Tuanku Tambusai
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Health Professions Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Public Health Social Sciences Other

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Rancang Bangun Sistem Informasi Montir Berbasis Website di Bangkinang Kota (Programming) Akbar, Syahidul; Munti, Novi Yona Sidratul; Musridho, Raja Joko
Journal on Pustaka Cendekia Informatika Vol. 1 No. 1 (2023): Journal on Pustaka Cendekia Informatika: Volume 1 Nomor 1 February-May Tahun 20
Publisher : PT Pustaka Cendekia Group

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70292/pctif.v1i1.10

Abstract

Today, information technology is growing. With the existence of information systems in various fields of companies and other industries, making a company/industry develop. The application of information systems in automotive is important to support data processing, transactions, and easily computerized report generation. In general, Mechanic is a person who has expertise in repairing and installing motorized vehicle engines. According to Arief (2011:7), In writing this final project, the author conducted research in the Bangkinang City area, Bangkinang Kota District, Kampar Regency, Riau Province. To conduct research on the data needed in the mechanic selection process, qualitative methods are used. With this method, interviews and direct observations were conducted. The method used in the development of this system is a prototype. The implementation has 3 parts, namely databaseimplementation, system implementation, and system testing. The test method used is the direct test method, namely blackbox testing. Based on the results obtained from a series of research processes, it can be concluded that: This information system can provide fast and accurate information needed by customers. With the creation of a website it can help and facilitate the community especially motor vehicle users in carrying out service.
Pembuatan Kursi Antropomteri Berbasis Sensor Hc-Sr 04 Hapyansyah, Dio; Sari, Resy Kumala; Musridho, Raja Joko
Journal on Pustaka Cendekia Informatika Vol. 1 No. 2 (2023): Journal on Pustaka Cendekia Informatika: Volume 1 Nomor 2 June-September Tahun
Publisher : PT Pustaka Cendekia Group

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70292/pctif.v1i2.20

Abstract

The industrial revolution is currently entering the industrial 4.0 stage where it is experiencing its peak, with the birth of digital technology which is very useful for human life throughout the world. The Industrial Revolution 4.0 is colored by artificial intelligence, super computers, genetic engineering, nanotechnology, automatic cars and innovation. the data used in making anthropometric chairs is secondary data. This data is obtained from research that has been carried out by previous studies using the House of Quality (HOQ) method. The data taken is in the form of sketches and product designs for anthropometric chairs based on the HC-SR04 sensor. Making anthropometric chairs using the Operation Process Chart (OPC) Diagram Using the HC-SR04 sensor-based anthropometric chair is faster and more accurate when taking measurements of the human body compared to using a meter or manually
SISTEM APLIKASI PEMESANAN BIBIT IKAN BERBASIS WEB (DESIGN) Studi Kasus (Kabupaten Kampar) Muhammad Iqbal; Emon Azriadi; R. Joko Musridho
KOLONI Vol. 1 No. 1 (2022): MARET 2022
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/koloni.v1i1.21

Abstract

The online marketplace can make it easier for fish breeding businesses to promote products and make it easier for consumers to get information about the products owned by the breeder. Limitations of product marketing are an obstacle for a fish breeder in increasing sales, moreover, manual reporting harms fish breeder by recording sales reports, so that sales and inventory reports are obstructed.The purpose of this research is to create an e-commerce-based online sales website that can be accessed online. The method used by the researcher in this research is the waterfall method. This method is used by researchers to build a software sistem by having a software flow starting with sistems engineering, analysis, design, coding, testing, and maintenance. The sistem design uses Unified Modeling Language, PHP programming language, and MySQL database.This research is conducted on a web-based online sales application that provides real-time inventory information, sales reports, inventory reports, fish seed production annual report and sellers can promote the products they sell by fish farmers in kampar district. Because of the process of reporting and checking inventory, the information can be carried out correctly and the seller's marketing reach can be wider so that it can increase income for fish breeding farmers in Riau Province especially in the district of Kampar. Keywords: fish breeder, e-commerce, website, php, mysql
Analisis Dampak Penggunaan Artificial Intelligence Terhadap Lapangan Kerja Pada Mahasiswa Universitas Pahlawan Amra Az Zahra; R. Joko Musridho; Rofdan Azzaky Fauzi; Bayu Gunawan; Amita Apriyani; Ari Hendrawan; Khairun Fadli; Isfi Alyuda; Widia Ningsih; Salsabillah Rahmadhani; Ardiansyah Mulia; Arlian Dinata
General Multidisciplinary Research Journal Vol. 3 No. 2 (2026)
Publisher : Global Sustainability Research Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63453/general.v3i2.84

Abstract

Introduction: The rapid development of Artificial Intelligence (AI) has significantly transformed various sectors, particularly the labor market. While AI offers opportunities to improve efficiency and productivity, it also raises concerns regarding the potential reduction of human labor demand in certain occupations. This study aims to analyze the perceptions of Universitas Pahlawan students regarding the impact of AI on employment and to determine whether AI is predominantly perceived as an opportunity or a threat. Methods:This study employed a quantitative research approach using the Naive Bayes algorithm as the primary classification method. Data were collected through an online questionnaire distributed to 100 Universitas Pahlawan students who had prior experience using AI technologies. The collected data were analyzed to classify respondents' perceptions into opportunity, threat, and neutral categories. Results: The findings revealed that 38% of respondents perceived AI as an opportunity, 37% viewed it as a threat, and 25% expressed a neutral perception. Furthermore, the Naive Bayes classification results indicated that the opportunity category had the highest probability, suggesting that most respondents tend to hold positive perceptions of AI in the context of future employment. Conclusion and Suggestion: The study concludes that Universitas Pahlawan students generally perceive AI as an opportunity rather than a threat in the workplace. Nevertheless, continuous efforts to enhance digital literacy, technological competencies, and adaptability are essential to enable students to respond effectively to the evolving demands of the AI-driven labor market. Future research is recommended to involve a larger and more diverse sample across different universities and demographic backgrounds to improve the generalizability of the findings.
Analisis Sentimen Publik Pada Platform X Terhadap Kebijakan Makan Bergizi Gratis Menggunakan Fine-Tuning Indobert Dan Fasttext Intan Nurzari; R. Joko Musridho; David Ibnu Harris; Regina Sesilia; M. Abdi Ahzani; M. Hasbullah; Irfan Alfalah; Arjunaidi Arjunaidi
Journal of Integrated Knowledge and Innovation Vol. 2 No. 1 (2026): Vol.2 No.1 2026
Publisher : Universitas Pahlawan Tuanku Tabusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jiki.v2i1.35

Abstract

Penelitian ini menganalisis sentimen publik pada platform media sosial X terhadap kebijakan Makan Bergizi Gratis menggunakan pendekatan klasifikasi hibrida yang menggabungkan FastText dan IndoBERT. Analisis sentimen diperlukan untuk memahami respons masyarakat terhadap program yang memiliki alokasi anggaran besar serta menghadapi berbagai tantangan implementasi. Data penelitian diperoleh dari 761 cuitan yang dikumpulkan selama periode April–Juni 2026 menggunakan Tweet Harvest. Setelah proses pembersihan data dan penghapusan duplikat, diperoleh 512 cuitan yang kemudian diberi label secara manual ke dalam tiga kategori sentimen, yaitu positif, netral, dan negatif. Dataset dibagi menjadi data latih (80%) dan data uji (20%) dengan teknik stratifikasi. Penelitian membandingkan model IndoBERT murni dengan model hibrida FastText–IndoBERT. Hasil menunjukkan bahwa model usulan memperoleh akurasi 88% dan F1-score terbobot 0,88, lebih tinggi dibandingkan model dasar yang mencapai akurasi 84% dan F1-score 0,84. Peningkatan kinerja terutama terlihat pada kelas sentimen minoritas. Analisis sentimen menunjukkan bahwa opini negatif mendominasi pembahasan publik terkait kebijakan ini, yang umumnya berkaitan dengan kekhawatiran terhadap penggunaan anggaran dan pelaksanaan program.
Co-Authors Adeswastoto, Hanantatur Akbar, Syahidul Amita Apriyani Amra Az Zahra Ardiansyah Mulia Ari Hendrawan Arif Mudi Priyatno Arjunaidi Arjunaidi Arlian Dinata Bayu Gunawan David Ibnu Harris Egi Firmansyah Emon Azriadi Febi Yanto Fezi Alfarisy, Muhammad Gusman, Deddy Hapyansyah, Dio Intan Nurzari Irfan Alfalah Isfi Alyuda Ivanris Ramadhan Kasini, Kasini Khairun Fadli M. Abdi Ahzani M. Hasbullah Marwa, Safni Muhammad Iqbal Nany Librianty novi yona sidratul munti Regina Sesilia Rimelda Adha Rofdan Azzaky Fauzi Rusnedy, Hidayati Salsabillah Rahmadhani Sari, Resy Kumala Shabri, Muhammad Wahyu Febri Ramadhan Sudirman Widia Ningsih Yusmita, Yesi