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Priviet Social Sciences Journal
Published by PRIVIETLAB
ISSN : 2798866X     EISSN : 27986314     DOI : 10.55942/pssj
Core Subject : Economy, Education, Social,
Economics, Econometrics & Finance Education Environmental Science Law, Crime, Criminology & Criminal Justice Social Sciences
PSSJ: Priviet Social Sciences Journal is an open access, monthly peer-reviewed international journal published by PRIVIETLAB. It provides an avenue to academicians, researchers, managers and others to publish their research work that contributes to the knowledge and theory of Social Sciences. PSSJ is published twelve a year. Publisher of Open Access Journals & Books designed to make it easy for worldwide researchers to discover leading-edge scientific research. Working closely with the global scientific community has been at the heart of our book and journal publishing activity. With a portfolio including journals, books, conference proceedings, we focus on Social Sciences and many more. PRIVIETLAB also publishes on behalf of other scientific organizations and represents their needs and those of their members. With worldwide impact, we support researchers, librarians and societies in their endeavours. PRIVIETLAB is an international center for supporting distinguished researchers, teachers, scholars and students who are researching various areas of Business, Science, and Technology. PRIVIETLAB wishes to provide good chances for academic and industry professionals to discuss recent progress in various areas of Business, Science, and Technology. PRIVIETLAB organizes many international conferences, symposia and workshops every year, and provides sponsor or technical support to researchers who wish to organize their own conferences and workshops.
Arjuna Subject : Ilmu Sosial - Ilmu Sosial (Lain-Lain)
Articles 383 Documents
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Analysis and design of a web-based integrated inventory information system using the PIECES framework: A case study of PT. Asia Persada Nusantara Anandri, Uya Asy Syuura; Ilyas, Ilyas
Priviet Social Sciences Journal Vol. 6 No. 1 (2026): January 2026
Publisher : Privietlab

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55942/pssj.v6i1.1514

Abstract

This study aims to analyze and develop a systematic or analytical web-based integrated inventory information system for PT. Asia Persada Nusantara, analytical used by PIECES framework. Based on a case-study approach, both with the SDLC methodology with a prototyping model, the requisite data were acquired by a complete review of documents and by conducting interviews with stakeholders. The Object Oriented Tool Development was modeled using the Unified Modeling Language (UML) to define the functional and non-functional requirements. The resultant design captures role-based authentication, stock reservation systems, processing of goods receipts including the processing of delivery notes, keeping of discrepancies, payment and reconciliation systems, and role-based audit trails as a way of enforcing operational control. The shared schema of the relational database using ERD supports the atomic transactions of the key turbines (reservation, transaction creation, commitment) and helps to reduce the risk of overselling and information inconsistency. It is proposed that a staged implementation plan (Minimum Viable Product) should be used with an initial focus on real-time inventory and reservation logic to achieve more immediate operations payoffs. The indicators of future improvement in stock accuracy and process efficiency are stated by impact assessment, whereas the real benefits depend on piloting testing, initial data quality, and organizational readiness. This research provides a technical map that is suitable for developing prototypes and validating them empirically.
The effectiveness of assistance provided by the department of agriculture, food, and fisheries in enhancing fishermen’s empowerment in Pariaman City Alghiffari, Habib; Slipilia, Intan
Priviet Social Sciences Journal Vol. 6 No. 1 (2026): January 2026
Publisher : Privietlab

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55942/pssj.v6i1.1562

Abstract

This study examines the effectiveness of assistance provided by the Department of Agriculture, Food, and Fisheries of Pariaman City in enhancing fisherfolk empowerment. Fishermen in coastal areas face various challenges, including limited access to modern fishing gear, fluctuating fish prices, and environmental uncertainties that affect productivity and welfare. Government assistance programs are expected to address these issues by strengthening the capacity, independence, and economic resilience of the fishermen. This study employed a qualitative descriptive design. Data were collected through observations, in-depth interviews, and documentation involving key informants from the Department of Agriculture, Food, and Fisheries, Fisheries Extension Officers, community representatives, and fishermen in Pariaman City. Data analysis was conducted using Miles and Huberman’s interactive model, which consists of data reduction, data display, and conclusion-drawing. The findings indicate that assistance programs have generally been effective in improving fisher empowerment. Assistance in the form of fishing gear and supporting facilities has contributed to increased fishing activity, improved catch efficiency, and reduced operational costs of fishing. In addition, training and mentoring activities have enhanced fishermen’s knowledge, skills, and awareness of sustainable marine-resource management. However, the effectiveness of the assistance has not been fully optimal because of uneven distribution, limited participation of fishermen in program planning, and insufficient program adaptation to diverse socio-economic conditions. Overall, the study concludes that the assistance provided has a positive impact on fishermen’s empowerment in Pariaman City, although improvements in participation, integration, and sustainability are necessary to achieve long-term empowerment of the fisher community.
E-WOM, influencers, and online reviews in Wardah cosmetics purchase decisions on Shopee Syarifah, Tengku; Wahyuni, Dian; Andriani, Tri; Sandini, Putri
Priviet Social Sciences Journal Vol. 5 No. 11 (2025): November 2025
Publisher : Privietlab

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55942/pssj.v5i11.1599

Abstract

This study aims to determine the Influence of E-WOM, Influencers, and Online Customer Reviews on Purchasing Decisions. The population in this study was Shopee platform users in the Kisaran City area, the number of which cannot be known for certain. This study used the Wibisono formula. The data used were primary data, and this study was conducted online using an electronic questionnaire, namely Google form. The data analysis tool used multiple linear regression. The results of the study show the Influence of E-WOM, Influencers, and Online Customer Reviews on Purchasing Decisions. Simultaneously, E-WOM (X1), Influencer (X2), and Online Customer Review (X3) influence Purchasing Decision (Y), Fcount > Ftable (44.226 > 2.70) with a significance of 0.000 < 0.05. This shows that the research results H1 were accepted and H0 was rejected. While partially E-WOM (X1) has a positive and significant effect on Purchasing Decisions (Y), with a calculated t value > ttable, namely 3.693 > 1.98580 with a sig t value for the E-WOM variable (X1) 0.000 smaller than α 0.05, namely 0.000 < 0.05, Influencer (X2) has a positive and significant effect on Purchasing Decisions (Y), with a calculated t value > t-table, namely 3.693 > 1.98580 with a sig t value for the Influencer variable (X2) 0.000 smaller than α 0.05, namely 0.000 < 0.05 and Influencer (X2) has a positive and significant effect on Purchasing Decisions (Y), with a calculated t value > ttable, namely 2.067 > 1.98580 with a sig t value for the Influencer variable (X2) 0.042 is smaller than α 0.05, which is 0.042 <0.05, it can be concluded that H0 is rejected, H2 is accepted and the R Square coefficient is 0.577 or 57.7%. This shows that the Purchase Decision (Y) can be explained by the E-WOM variable (X1), influencer (X2), and Online Customer Review (X3), amounting to 457.7%, and the remaining 42.3% is explained by other factors not examined in this study.

Page 39 of 39 | Total Record : 383

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