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All Journal Journal of Computer, Electronic, and Telecommunication (COMPLETE) Priviet Social Sciences Journal Teknofile, Jurnal Sistem Informasi
Anandri, Uya Asy Syuura
Unknown Affiliation
Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Social Sciences

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Business plan and financial feasibility study of “Prata Bubuhan” breakfast UMKM stall in Indragiri Hilir Regency Anandri, Uya Asy Syuura
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.v5i11.746

Abstract

  Prata Bubuhan is a business engaged in the culinary field with a contemporary and modern concept that markets household needs products, such as breakfast and various types of drinks. This study aims to evaluate the economic viability of the venture and provide managerial recommendations for startup implementation. Primary financial analysis is based on projected cash flows and investment appraisal techniques, including Net Present Value (NPV), Internal Rate of Return (IRR), Profitability Index (PI), Break-Even Point (BEP), and payback period, with a discount rate assumed at 10%. The results indicate that the project requires an initial capital of IDR 150,000,000 and yields a positive NPV of IDR 121,560,300, an IRR of approximately 33.51%, a PI of 1.81, and an estimated payback period of about 2.56 years. These findings suggest that the Prata Bubuhan venture is financially viable under the stated assumptions. This study contributes to the literature on micro, small, and medium enterprises (MSMEs, locally known as UMKM) by providing an empirical case of a food-based UMKM in Indonesia, discussing the sensitivity of outcomes to key assumptions (sales growth and cost variations), and offering practical recommendations on pricing, cost control, and operational planning to enhance project sustainability and investor appeal.
ANALISIS STATISTIKA DESKRIPTIF DATA MAHASISWA SISTEM INFORMASI B 2024 UNIVERSITAS ISLAM INDRAGIRI Anandri, Uya Asy Syuura; Mhd. Nabil Arkan; Muhammad Risky; Yesica Elma Sudiarti; Nuraini; Melsa; Achmad Isya Alfassa; Ilyas; Arief Rachman
TEKNOFILE : Jurnal Sistem Informasi Vol. 3 No. 6 (2025): Juni 2025
Publisher : PT. ZIVANA CENDEKIAWAN BANGSA

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Abstract

Peneliatan ini bertujuan untuk mengetahui data mahasiswa Sistem Informasi B 2024 yang mengampu mata kuliah Statistik Teknologi Informasi terutama pada program studi Sistem Informasi. Penelitian ini menggunakan metode penelitian deskriptif dengan pendekatan kualitatif yang subyeknya adalah mahasiswa Sistem Informasi B 2024. Sampel dalam penelitian ini terdiri dari 35 orang mahasiswa yang diberikan tes Kuisioner berbentuk uraian. Hasil dari penilitian ini adalah: 1) Distribusi asal daerah kecamatan terbanyak berasal dari Tembilahan yang sebesar 25,71%; 2) Distribusi Suku terbanyak berasal dari Banjar sebesar 37%; 3) Distribusi Golongan Darah terbanyak berasal dari O sebesar 34,29%; 4) Distribusi Ukuran Sepatu terbanyak 40 sebesar 34.29%. Selain hasil yang telah disebutkan tadi, kesamaan sebesar 100% yang beragama Islam.
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.
Basic Application of Business Intelligence in making E-Commerce Buyer Dashboard Indonesian Using Tableau Tools Development Anandri, Uya Asy Syuura; Abdullah
Journal of Computer, Electronic, and Telecommunication (COMPLETE) Vol. 6 No. 2 (2025): December
Publisher : Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52435/complete.v6i2.747

Abstract

This research examines the implementation of Business Intelligence (BI) for the creation of an Indonesian e-commerce buyer dashboard in 2024 with the aim of increasing the visibility of operational KPI and demonstrating a reproducible pipeline from data cleaning to visualization. The main issues addressed are the quality of order-level data (provincial writing variants, date format, numerical values, and PII anonymization) as well as the need to calculate buyer metrics (unique buyers, repeat rate) which is rarely ava1ilable in public aggregate data. The methods used include: (1) data cleaning and harmonizing using OpenRefine; (2) numerical transformation and validation with Python (pandas); (3) creating interactive worksheets and dashboards in Tableau (sales map per province; monthly trend line; bar with avg sales per product; sales pie by gender); and (4) sensitivity analysis to assess the impact of cleaning step variation on buyer-level KPI. Using the order-level dataset of cleaning results (1,000 transactions), a total revenue of Rp 2,298,975,000, 1,000 orders, and 178 unique buyers were found; seasonal patterns were seen with a peak in the fourth quarter and revenue concentration in urban areas (DKI Jakarta, West Java). The top-10 products contribute a significant portion of revenue, and repeat buyers show an important role in the sales structure
Co-Authors Abdullah Achmad Isya Alfassa Arief Rachman Ilyas Ilyas Ilyas MELSA Mhd. Nabil Arkan Muhammad Risky Nuraini YESICA ELMA SUDIARTI