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All Journal Teknovokasi : Jurnal Pengabdian Masyarakat Journal of Embedded Systems, Security and Intelligent Systems Ininnawa: Jurnal Pengabdian Masyarakat Indonesian Journal of Taxation and Accounting Jurnal Sipakatau International Journal of Education, Vocational and Social Science EDUSOS: Jurnal Edukasi dan Ilmu Sosial Business Research and Administration Innovation (BRAIN)
Yusi Irensi Seppa
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Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Energy Engineering Environmental Science Languange, Linguistic, Communication & Media Public Health Social Sciences Other

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4P Marketing Mix Strategy in Increasing Sales PT. Intan Pariwara Palopo Guritno, Riko; Herlina Sakawati; Andi Muhammad Rivai; Yusi Irensi Seppa
Business Research and Administration Innovation Vol. 2 No. 1 (2025): BRAIN - APRIL
Publisher : Fakultas Ilmu Sosial dan Hukum

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32457/brain.v2i1.29

Abstract

4P Marketing Mix Strategy in Increasing Sales of PT Intan Pariwara Palopo. Thesis of the Faculty of Social Sciences and Law, Business Administration Study Program, Makassar State University. Supervised by Herlina Sakawati and Andi Muhammad Rivai. This study aims to identify and analyze the 4P marketing mix strategy in increasing PT Intan Pariwara Palopo's sales. To achieve this goal, this study used a qualitative approach, this study took 10 (ten) respondents, consisting of Branch Managers, Sales Representatives, postal sales, warehouses and consumers. Data collection procedures used were in-depth interviews and documentation. The interview technique was carried out in a structured manner using interview guidelines. The results of this study indicate that PT Intan Pariwara Palopo has implemented a good and effective marketing mix strategy in accordance with the theory of Kotler & Keller. In implementing the marketing mix, PT Intan Pariwara Palopo conducted product, price, place and promotion research to determine a marketing strategy.
The Role of the National Commission on Disability in Promoting Business Inclusion for Persons with Disabilities in Indonesia Andi Muhammad Rivai; Siti Syarifah Wafiqah Wardah; Yusi Irensi Seppa
International Journal of Education, Vocational and Social Science Vol. 4 No. 04 (2025): September - November, International Journal of Education, Vocational and Socia
Publisher : Cita konsultindo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63922/ijevss.v4i04.2255

Abstract

This study analyzes the role of the National Disability Commission in promoting business inclusivity for persons with disabilities in Indonesia. Based on Law No. 8 of 2016, the National Disability Commission serves to ensure the fulfillment of the rights of persons with disabilities, particularly access to employment and entrepreneurship. Using a descriptive qualitative method, this study found three main roles of the National Disability Commission: policy advocacy, cross-sector collaboration, and empowerment through training and public campaigns. Key challenges include weak coordination, limited authority, and social stigma. The National Disability Commission functions as a moral parliament that strengthens the bargaining position of persons with disabilities in the world of work and has the potential to be a catalyst for transformation towards an inclusive and equitable employment ecosystem.
The Influence of Online Customer Reviews and Content Marketing on Scarlett Whitening's Purchase Decision on Tiktok Users in Makassar City Mega Yuliarsih, Mega Yuliarsih; Haedar Akib; Yusi Irensi Seppa; Siti Syarifah Wafiqah Wardah; Alifia Ainun Rizky
Business Research and Administration Innovation Vol. 2 No. 3 (2025): BRAIN - DECEMBER
Publisher : Fakultas Ilmu Sosial dan Hukum

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32457/brain.v2i3.42

Abstract

The Influence of Online Customer Reviews and Content Marketing on  Scarlett Whitening's Purchase Decisions on Tiktok Users in Makassar City. This study aims to find out how the Influence of Online Customer Reviews  and Content Marketing on Purchase Decisions both Simultaneously and Partially where Scarlett Users and Tiktok Marketplace are the object of research. This research uses Quantitative research type. The data collection technique used is through primary data (questionnaires and observations). The sampling technique uses Purposive Sampling technique with data collection using questionnaires. The data obtained were processed using SPSS 22 which consisted of multiple regression analysis which was first tested using validity tests, reliability tests, and normality tests. The results showed that the Online Customer Review variable had a significant effect on purchasing decisions with a T count of 6,658 > T   table  1.984 with a significance value of 0.000 < 0.05, Content Marketing had a significant effect on purchasing decisions with a calculated T value of 8,252 > T table  1.984 with a significance value of 0.000 < 0.05 and there is a simultaneous influence of online customer review and content marketing on the  purchase decision of Scarlett Whitening on TikTok users in Makassar City with acalculated F value of  42,573 > 3.09 Ftable. The value of the Coefficient of Determination (Adjusted R2) obtained is 0.570, this means that purchasing decisions are  influenced by online customer reviews and content marketing as  much as 57%, while the rest is influenced by other factors.
Privacy-Preserving Deep Learning For Enhancing Privacy for Business Information Processing Using Differential Privacy Muhammad Ayat Hidayat; Yusi Irensi Seppa
Journal of Embedded Systems, Security and Intelligent Systems Vol 6, No 4 (2025): Desember 2025
Publisher : Program Studi Teknik Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/jessi.v6i4.10833

Abstract

Artificial intelligence is a rapidly growing technology that has been implemented in various sectors such as finance, education, the military, healthcare, and business. One form of artificial intelligence is deep learning, which has the capability to perform complex pattern recognition and decision-making using very large datasets. This capability makes deep learning one of the key technologies adopted by companies and organizations to improve their policies and enhance operational stability. However, several studies have shown that deep learning still faces significant challenges, particularly security risks that may expose sensitive business or organizational information. Therefore, in this work, we aim to address this problem and enhance the privacy protection of deep learning by incorporating differential privacy. Differential privacy is a technique that protects sensitive information by adding controlled noise to the data or model outputs, thereby reducing the risk of information leakage. We evaluate our proposed method using marketing data and implement it to 5 different models, and based on the experimental results, Our proposed method achieves its best performance using the linear regression model, yielding an RMSE of approximately 1821.30, an MAE of 1406.45, and an R² of 0.007717 for higher privacy budget. Under a lower privacy budget, the performance of the linear regression model decreases to an RMSE of 3634.24, an MAE of 2799.05, and an R² of –0.008482, yet it still outperforms the other four model approaches.
Co-Authors Alifia Ainun Rizky Andi Sadriani Aris Baharuddin Dyan Paramitha Darmayanti Erdi Fitriani Dzulfadhilah Guritno, Riko Haedar Akib Herlina Sakawati Indra Yustika Maya Kasmita Mega Yuliarsih, Mega Yuliarsih Muhammad Ayat Hidayat Risma Niswaty Rivai, Andi Muhammad S, Muh. Rizal Siti Syarifah Wafiqah Wardah Sulmiah