Article Per Year (5 Year)
p-Index From 2021 - 2026
0.61
P-Index
This Author published in this journals
All Journal Journal of Economic, Bussines and Accounting (COSTING) J-COSCIS : Journal of Computer Science Community Service Journal of Business, Social and Technology
Septiandi Putra
Universitas Lancang Kuning
Computer Science & IT Economics, Econometrics & Finance Education Engineering Industrial & Manufacturing Engineering Library & Information Science Social Sciences

Published : 3 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 3 Documents
Search

 1 
THE INFLUENCE OF CASHIER SYSTEM DEVELOPMENT TRAINING USING PYTHON IPYWIDGETS ON BASIC PROGRAMMING SKILLS Septiandi Putra; Muammar Revnu Ohara; Vebby Vebby
Journal of Economic, Bussines and Accounting (COSTING) Vol. 8 No. 3 (2025): COSTING : Journal of Economic, Bussines and Accounting
Publisher : Institut Penelitian Matematika, Komputer, Keperawatan, Pendidikan dan Ekonomi (IPM2KPE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31539/costing.v8i3.16084

Abstract

This study aims to analyze the effect of cashier system development training using Python Ipywidgets on the basic programming skills of students at SMA PGRI Pekanbaru. A quantitative approach was applied using a pre-experimental one-group pretest-posttest design. The sample consisted of 40 students who completed the training and both pre-test and post-test sessions. The research instrument was a multiple-choice test based on core programming competency indicators. Results showed an increase in the average score from 46.75% to 64.63%, with a gain of 17.88%. Inferential statistical analysis using a paired sample t-test confirmed a statistically significant improvement (p < 0.05). These findings indicate that real project-based training supported by interactive media such as Ipywidgets effectively enhances students’ understanding of fundamental programming concepts and strengthens digital literacy at the secondary school level.
Copywriting Technique and Digital Content Design Training Using Canva for Students of SMA PGRI Pekanbaru to Improve Digital Literacy and Creativity Walhidayat Walhidayat; Muhamad Sadar; Septiandi Putra; Mariza Devega; Rifka Zahra; Yuhelmi Yuhelmi
J-COSCIS : Journal of Computer Science Community Service Vol. 6 No. 2 (2026): J-COSCIS : Journal of Computer Science Community Service
Publisher : Fakultas Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31849/4gwmte30

Abstract

This community service activity aims to improve the understanding of SMA PGRI Pekanbaru students in content publication management on social media platforms for digital entrepreneurship purposes. The training focused on three main aspects: (1) content planning, (2) social media algorithm optimization techniques, and (3) content performance analysis. The implementation method included an 8-hour interactive workshop attended by 50 selected students. Evaluation using a combination of questionnaires and quizzes showed significant results: participants' understanding of content management increased by 82.5%. In detail, there were improvements in: Ability to create a content publication schedule (from 25% to 89%), Understanding of strategic hashtag usage (from 18% to 76%), and Ability to analyze content insights (from 12% to 68%). Hands-on practice using case studies showed 73% of participants were able to create a content calendar for the week ahead, while 65% were able to identify the best time to post based on audience analysis. Participatory observation revealed that the learning by doing approach through a dummy business account management simulation was effective in increasing student engagement. The main obstacles encountered were limited internet infrastructure in schools and variations in participants' initial digital literacy levels. The solution provided was an independent module and the division of learning groups based on ability levels. This activity recommends the importance of integrating social media content management materials into the school entrepreneurship curriculum, with an emphasis on continuous practice and periodic evaluation.
Artificial Intelligence and Digital Marketing Performance: A Systematic Review Septiandi Putra
Journal of Business, Social and Technology Vol. 7 No. 4 (2026): Journal of Business, Social and Technology
Publisher : Politeknik Siber Cerdika Internasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59261/bustechno.v7i4.822

Abstract

Background: The evolution of digital technology has transformed how companies market products and interact with consumers, particularly through digital platforms. Intensifying competition has encouraged businesses to use technologies that support more targeted and measurable marketing activities. Artificial intelligence (AI) is one of the technologies increasingly applied in this area. Objective: This study synthesizes how AI is utilized in digital marketing, identifies the performance indicators reported in the literature, and examines the factors that enable or constrain its effectiveness, with particular attention to its relevance to online marketplace contexts. Method: A systematic review was conducted using 17 peer-reviewed articles retrieved from the Scopus database. Results: The reviewed literature identifies four main forms of AI utilization: prediction and targeting, personalization and user experience, customer relationship management and data integration, and segmentation and strategic capability enhancement. Digital marketing performance is assessed through behavioral and conversion indicators, experience and relational indicators, and market and financial indicators. The literature also identifies data quality, organizational capabilities, and strategic clarity as enabling factors, while algorithmic bias, privacy concerns, limited transparency, and inadequate governance constitute important constraints. Conclusion: AI has the potential to support improvements in digital marketing performance, but the reported outcomes depend on the implementation context, organizational capabilities, data quality, and governance practices. This review contributes an integrated conceptual mapping of AI utilization, performance indicators, and enabling and constraining factors relevant to digital marketing and online marketplace research.
Co-Authors Mariza Devega Muammar Revnu Ohara Muhamad Sadar, Muhamad Rifka Zahra Vebby Vebby Walhidayat Walhidayat Yuhelmi Yuhelmi