Article Per Year (5 Year)
p-Index From 2021 - 2026
2.986
P-Index
This Author published in this journals
All Journal jurnal niara INOVTEK Polbeng - Seri Informatika Dinamisia: Jurnal Pengabdian Kepada Masyarakat Digital Zone: Jurnal Teknologi Informasi dan Komunikasi IJISTECH (International Journal Of Information System & Technology) JOURNAL OF SCIENCE AND SOCIAL RESEARCH JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Jurnal Pengabdian Masyarakat Multidisiplin Brahmana : Jurnal Penerapan Kecerdasan Buatan IJISTECH J-SAKTI (Jurnal Sains Komputer dan Informatika) J-COSCIS : Journal of Computer Science Community Service TRIMAS: Jurnal Inovasi dan Pengabdian Kepada Masyarakat
Bayu Febriadi, Bayu
Universitas Lancang Kuning
Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Astronomy Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Immunology & microbiology Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Medicine & Pharmacology Nursing Public Health Social Sciences Other

Published : 37 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 37 Documents
Search

 1   2   3   4 
The Role of Multimedia in Religious Learning for Students with Disabilities in The Inclusive System (Case Study: Lancang Kuning University) Nijal, Lasri; Zamzami, Z; Siswanto, Didik; Febriadi, Bayu
IJISTECH (International Journal of Information System and Technology) Vol 8, No 4 (2024): The December edition
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/ijistech.v8i4.364

Abstract

Lancang Kuning University (Unilak) has committed to the success of the disability-friendly Inclusive Indonesia movement program, by providing opportunities for students with disabilities to study at Lancang Kuning University. Delivering Islamic religious lecture material in inclusion classes requires special attention. So by using qualitative research methods, based on direct observation in the classroom and through journals, guide books and expert information, the use of multimedia is very necessary for inclusive classes. Among the media used for learning Islamic Religious Education are; Two-Dimensional Learning Media such as; powerpoint or slide, whiteboard, module book, three-dimensional learning media such as; Equipment for holding corpses and practicing prayer movements, learning media in the form of applications such as applications that can convert sound into writing. Apart from appropriate learning media and various religion lecturers, they also need to master this multimedia and also need to learn to use sign language for the deaf. For supporting facilities, Unilak has provided all sufficient facilities so that inclusion classes at Unilak run well.
APRIORI ALGORITMA DALAM MENENTUKAN POLA PRODUKSI DENGAN PENERAPAN COUPLING DAN COHESION Siswanto, Didik; Nijal, Lasri; Febriadi, Bayu; Zamzami, Zamzami; Agusviyanda, Agusviyanda
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol 8, No 3 (2025): August 2025
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v8i3.4002

Abstract

Abstract: Efficient production planning is key to increasing the profitability of manufacturing companies. One of the biggest challenges is understanding the relationships between products that are frequently produced together. This study proposes the application of the Apriori Algorithm to discover association patterns (association rules) from historical production data. The primary goal is to identify the most frequently co-occurring product itemsets, thereby aiding production schedule planning, inventory management, and bundling strategies. Uniquely, this study also introduces the application of software engineering concepts, namely Coupling and Cohesion, as metrics to evaluate the quality and strength of the association patterns discovered. Coupling is used to measure the strength of the dependencies between items in a pattern, while Cohesion is used to measure the close relationship of items within an itemset. Using hypothetical production transaction data, the algorithm successfully identified association rules with significant support, confidence, and lift values. The analysis using Coupling and Cohesion provides a new perspective in validating the business relevance of the formed rules, demonstrating that patterns with high coupling and high cohesion are the most stable and reliable production patterns. Keywords: Apriori Algorithm, Data Mining, Production Pattern, Association Rules,                 Coupling, Cohesion, Production Planning. Abstrak: Perencanaan produksi yang efisien merupakan kunci utama dalam meningkatkan profitabilitas perusahaan manufaktur. Salah satu tantangan terbesar adalah memahami hubungan antar produk yang sering diproduksi bersamaan. Penelitian ini mengusulkan penerapan Algoritma Apriori untuk menemukan pola asosiasi (association rules) dari data historis produksi. Tujuan utamanya adalah untuk mengidentifikasi itemset produk yang paling sering muncul bersamaan, sehingga dapat membantu dalam perencanaan jadwal produksi, manajemen inventaris, dan strategi bundling. Uniknya, penelitian ini juga memperkenalkan penerapan konsep rekayasa perangkat lunak, yaitu Coupling (keterkaitan) dan Cohesion (kepaduan), sebagai metrik untuk mengevaluasi kualitas dan kekuatan pola asosiasi yang ditemukan. Coupling digunakan untuk mengukur seberapa kuat ketergantungan antar item dalam suatu pola, sedangkan Cohesion digunakan untuk mengukur seberapa erat hubungan item di dalam sebuah itemset. Dengan menggunakan data transaksi produksi hipotetis, algoritma berhasil mengidentifikasi aturan asosiasi dengan nilai support, confidence, dan lift yang signifikan. Analisis menggunakan Coupling dan Cohesion memberikan perspektif baru dalam memvalidasi relevansi bisnis dari aturan yang terbentuk, menunjukkan bahwa pola dengan high coupling dan high cohesion adalah pola produksi yang paling stabil dan dapat diandalkan. Kata kunci: Algoritma Apriori, Data Mining, Pola Produksi, Aturan Asosiasi, Coupling, Cohesion, Perencanaan Produksi.
Rancang Bangun Sistem Pelayanan Publik Pada Polsek Padang Barat Berbasis Web Dengan Php Dan Database Mysql Hadi, Abrar; Putra, Pandu Pratama; Syam, Febrizal Alfarasy; Febriadi, Bayu
Brahmana : Jurnal Penerapan Kecerdasan Buatan Vol 5, No 1 (2023): Edisi Desember
Publisher : LPPM STIKOM Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/brahmana.v5i1.275

Abstract

Police in the SPKT (Integrated Police Service Center) have a function that serves complaints from people who are involved in criminal acts, namely reports of fraud, robbery, embezzlement, robbery, loss of valuables, and so on. Due to complaints from the public at this time, the community needs fast service at the SPKT section. Because SPKT is the spearhead of the police service in providing services to the community to improve and facilitate the services needed by software. At the West Padang Police, if the community makes a complaint or request to the SPKT (Integrated Police Service Center), officers still use a conventional or un-computerized system the weakness of this system is that it is very possible that during the process there is an error in recording, inaccurate reports made, delays in finding the required data STTLP (Police Report Receipt), the officer must rewrite the book for archiving, then if the public makes a second request the officer must rewrite the applicant's data because it takes a long time to search for data.
Pengembangan Lanjut Sistem Informasi Pelayanan Dan Pendataan UMKM Provinsi Riau (Kasus Dinas Perindustrian, Perdagangan, Koperasi Usaha Kecil Dan Menengah Provinsi Riau) Siswanto, Didik; Darmayunata, Yuvi; Zamzami, Z; Febriadi, Bayu
Brahmana : Jurnal Penerapan Kecerdasan Buatan Vol 5, No 1 (2023): Edisi Desember
Publisher : LPPM STIKOM Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/brahmana.v5i1.276

Abstract

Based on the previous authors, it was concluded that the Department of Industry, Trade, Small and Medium Enterprises Cooperatives of Riau Province had limitations in collecting data on the status of MSMEs that had attended training or had not attended training, making the government's training incomplete and not on target. Efforts have been made to develop an information system that can verify MSME data using optical character recognition to record MSMEs that are spread across Riau Province has a lack of features so that the government can manage all products uploaded by MSME actors and MSME actors can register with a registered NIK. Application of Services and Data Collection for UMKM in Riau Province This further research includes developing features according to the analysis to the Disperindagkop UKM. The conclusion from the results of the development of this information system has successfully developed a feature where MSME actors cannot register with the same NIK, there is a feature so that the admin can manage all products that have been uploaded by MSME actors, product data collection where currently there is a product category that is produced by MSMEs and the categories of each type of service prepared so that it is hoped that it will make it easier for users to operate the information system.
PELATIHAN DRAW.IO SEBAGAI PENYUSUNAN DIAGRAM STANDAR OPERASIONAL PROSEDUR BERBASIS ONLINE PADA KANTOR KKP WILKER BUATAN Febriadi, Bayu; Pratama Putra, Pandu; Zamzami; Siswanto, Didik; Nijal, Lasri
J-COSCIS : Journal of Computer Science Community Service Vol. 4 No. 2 (2024): J-COSCIS : Journal of Computer Science Community Service
Publisher : Fakultas Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31849/jcoscis.v4i2.19594

Abstract

Kantor Kesehatan Pelabuhan (KKP) Wilayah Kerja Buatan merupakan Kantor pemerintahan yang bergerak di bidang kesehatan khususnya mengenai lingkungan. Dalam pelaksanaan kegiatan dan pelayanan seperti surveilans kesehatan kapal, surveilans kesehatan masyarakat, bimbingan teknis, pengawasan dokumen kesehatan, surveilans faktor penyakit tidak menular baik pelayanan kepada masyarakat masih sangat minim pedoman ataupun panduan dalam pelaksanaan kegiatan dan pelayanan yang diberikan, sehingga pihak kantor selalu kesulitan dalam penerapan prosedur yang harus dilakukan oleh pegawai dan masyarakat. Dan kegiatan ini selalu dilakukan tiap kegiatan sehingga diperlukan sebuah Pedoman atau panduan sistem yang dapat mengontrol pelaksanaan kegiatan dan pelayanan yang dibutuhkan dalam pembuatan laporan kegiatan. Hal inilah yang menjadi ketertarikan penulis untuk membantu permasalahan yang dihadapi karyawan di Kantor Kesehatan Pelabuhan Pekanbaru Wilayah Buatan supaya lebih efisien dalam menjalankan kegiatan dan pelayanan. Dengan memanfaatkan draw.io sebagai diagram pemenuhan Standar Operasional Prosedur dan informasi berbasis online, diharapkan proses pelaksanaan dan pelayanan dapat berjalan dengan sesuai prosedur yang telah ditetapkan, dengan demikian diharapkan dapat membantu pihak kantor dalam memonitoring dan evaluasi pelaksanaan kegiatan dan layanan pada KKP Wilayah Kerja Buatan.
Creative Design Training in the Gen Z Era: Teacher Training at Vocational Schools Using Canva for Innovative Learning Media: Pelatihan Desain Kreatif di Era Gen Z: Pelatihan Guru SMK Menggunakan Canva untuk Media Pembelajaran yang Inovatif Sahputri, Desi Nori; Siswanto, Didik; Zamzami, Zamzami; Nijal, Lasri; Febriadi, Bayu; Agusviyanda, Agusviyanda
Dinamisia : Jurnal Pengabdian Kepada Masyarakat Vol. 8 No. 5 (2024): Dinamisia: Jurnal Pengabdian Kepada Masyarakat
Publisher : Universitas Lancang Kuning

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31849/dinamisia.v8i5.22078

Abstract

This study examines Canva training for teachers at SMK Muhammadiyah 2 Pekanbaru to enhance their skills in creating innovative and engaging learning media for Generation Z. This generation tends to prefer learning methods that are more visual and digital, making graphic design skills an important aspect to increase student engagement. The training was conducted using an interactive workshop approach, which included pre-and post-training surveys and direct classroom observation.The results show that this training successfully improved teachers’ skills in using Canva. Teachers were able to create learning media such as posters, presentations, and interactive quizzes tailored to modern students' learning styles. With more appealing media, student engagement in the learning process increased significantly, and the quality of learning improved.This study recommends integrating graphic design platforms like Canva into the educational curriculum to support a more creative and effective teaching-learning process. This integration is expected to drive educational innovation and provide students with a richer and more relevant learning experience in the digital era. Adopting this technology not only facilitates teaching but also motivates students to actively participate in learning activities, boosting their confidence and critical thinking skills suited to the demands of the modern era. Thus, Canva serves as a tool that supports sustainable education and adapts to the needs of today’s generation.
APRIORI ALGORITMA DALAM MENENTUKAN POLA PRODUKSI DENGAN PENERAPAN COUPLING DAN COHESION Didik Siswanto; Lasri Nijal; Bayu Febriadi; Zamzami Zamzami; Agusviyanda Agusviyanda
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol. 8 No. 3 (2025): August 2025
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v8i3.4002

Abstract

Abstract: Efficient production planning is key to increasing the profitability of manufacturing companies. One of the biggest challenges is understanding the relationships between products that are frequently produced together. This study proposes the application of the Apriori Algorithm to discover association patterns (association rules) from historical production data. The primary goal is to identify the most frequently co-occurring product itemsets, thereby aiding production schedule planning, inventory management, and bundling strategies. Uniquely, this study also introduces the application of software engineering concepts, namely Coupling and Cohesion, as metrics to evaluate the quality and strength of the association patterns discovered. Coupling is used to measure the strength of the dependencies between items in a pattern, while Cohesion is used to measure the close relationship of items within an itemset. Using hypothetical production transaction data, the algorithm successfully identified association rules with significant support, confidence, and lift values. The analysis using Coupling and Cohesion provides a new perspective in validating the business relevance of the formed rules, demonstrating that patterns with high coupling and high cohesion are the most stable and reliable production patterns. Keywords: Apriori Algorithm, Data Mining, Production Pattern, Association Rules,                 Coupling, Cohesion, Production Planning. Abstrak: Perencanaan produksi yang efisien merupakan kunci utama dalam meningkatkan profitabilitas perusahaan manufaktur. Salah satu tantangan terbesar adalah memahami hubungan antar produk yang sering diproduksi bersamaan. Penelitian ini mengusulkan penerapan Algoritma Apriori untuk menemukan pola asosiasi (association rules) dari data historis produksi. Tujuan utamanya adalah untuk mengidentifikasi itemset produk yang paling sering muncul bersamaan, sehingga dapat membantu dalam perencanaan jadwal produksi, manajemen inventaris, dan strategi bundling. Uniknya, penelitian ini juga memperkenalkan penerapan konsep rekayasa perangkat lunak, yaitu Coupling (keterkaitan) dan Cohesion (kepaduan), sebagai metrik untuk mengevaluasi kualitas dan kekuatan pola asosiasi yang ditemukan. Coupling digunakan untuk mengukur seberapa kuat ketergantungan antar item dalam suatu pola, sedangkan Cohesion digunakan untuk mengukur seberapa erat hubungan item di dalam sebuah itemset. Dengan menggunakan data transaksi produksi hipotetis, algoritma berhasil mengidentifikasi aturan asosiasi dengan nilai support, confidence, dan lift yang signifikan. Analisis menggunakan Coupling dan Cohesion memberikan perspektif baru dalam memvalidasi relevansi bisnis dari aturan yang terbentuk, menunjukkan bahwa pola dengan high coupling dan high cohesion adalah pola produksi yang paling stabil dan dapat diandalkan. Kata kunci: Algoritma Apriori, Data Mining, Pola Produksi, Aturan Asosiasi, Coupling, Cohesion, Perencanaan Produksi.
Co-Authors Abrar Hadi Agusviyanda Agusviyanda Agusviyanda, Agusviyanda Ahmad Zamsuri, Ahmad Alexsander Yandra, Alexsander Anisya Anisya Budianto Hamuddin Dafwen Toresa Darmayunata, Yuvi Didik Siswanto Fana Wiza, Fana Febrizal Alfarasy Syam Guntoro, Guntoro Herdi Lasri Nijal Loneli Costaner Mariza Devega Muhammad Luthfi Musfawati Nijal, Lasri Nurliana Nasution, Nurliana Pandu Pratama Putra, Pandu Pratama Pratama Putra, Pandu rahmat, adi RR. Ella Evrita Hestiandari Sahputri, Desi Nori Siswanto, Didik Susi Handayani Syaifullah Syam, Febrizal Alfarasy Viranti Wahyu Hidayat Walhidayat Walhidayat Walhidayat, Walhidayat Wenni Syafitri Wirdah Choiriah, Wirdah Yundari, Yundari zamzami Zamzami, Z Zamzami, Zamzami