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All Journal Priviet Social Sciences Journal Teknofile, Jurnal Sistem Informasi Komputasi : Jurnal Ilmiah Ilmu Komputer dan Matematika
Uya Asy Syuura Anandri
Universitas Islam Indragiri
Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Mathematics Social Sciences

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Business plan and financial feasibility study of “Prata Bubuhan” breakfast UMKM stall in Indragiri Hilir Regency Uya Asy Syuura Anandri
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.
PENDEKATAN MATEMATIS PERSENTASE DAN PECAHAN DESIMAL PADA DATA PILKADA INDRAGIRI HILIR M. Ardianto; Gita Parwati Saputri; Muhammad Reyvan Anugrah; Maykell Apryan; Hanisa Pebria Almunawarah; Hica Nida; M. Fikri Haikal; Nadia Asparosa; Uya Asy Syuura Anandri
TEKNOFILE : Jurnal Sistem Informasi Vol. 4 No. 5 (2026): Mei 2026
Publisher : PT. ZIVANA CENDEKIAWAN BANGSA

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Abstract

Pemilihan Kepala Daerah (PILKADA) merupakan mekanisme demokratis penting di Indonesia yang melibatkan analisis data kuantitatif seperti pecahan desimal dan persentase untuk memahami distribusi suara dan partisipasi pemilih. Penelitian ini bertujuan mengisi kekosongan studi yang menggabungkan aspek matematika menggunakan metode kuantitatif dengan kasus Pilkada Kabupaten Indragiri Hilir, khususnya dalam analisis pecahan desimal dan persentase untuk menilai distribusi suara pasangan calon dan tingkat partisipasi pemilih. Menggunakan pendekatan metode kuantitatif deskriptif, penelitian ini menganalisis data sekunder dari Komisi Pemilihan Umum (KPU) Kabupaten Indragiri Hilir, Badan Pusat Statistik (BPS) dan sumber ilmiah terkait. Hasil analisis menunjukkan tingkat partisipasi pemilih sebesar 51,39%, dengan 278.195 pemilih dari 541.352 pemilih terdaftar yang menggunakan hak pilih. Distribusi suara pasangan calon bupati dan wakil bupati menunjukkan Pasangan Calon Nomor 4 (H. Herman, S.E., M.T & Yuliantini, S.Sos., M.Si) memperoleh suara terbanyak (160.286 suara atau 57,61%), diikuti Pasangan Calon Nomor 2 (27,47%), Nomor 1 (12,25%) dan Nomor 3 (2,67%). Penggunaan pecahan desimal dan persentase memfasilitasi perbandingan objektif, meningkatkan transparansi dan mendukung interpretasi hasil pemilu. Penelitian ini menegaskan relevansi matematika dalam analisis Pilkada untuk penguatan demokrasi lokal dan akuntabilitas penyelenggaraan pemilu.
Analysis and design of a web-based integrated inventory information system using the PIECES framework: A case study of PT. Asia Persada Nusantara Uya Asy Syuura Anandri; 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 Integrating Business Intelligence and Food Supply Chain Analytics to Support National Nutrition Programs (MBG): Evidence from Rice Production Dashboard in Indonesia Uya Asy Syuura Anandri; Lilis Indawati; Muh. Rasyid Ridha
Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika Vol. 23 No. 2 (2026): Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika
Publisher : Program Studi Ilmu Komputer, Universitas Pakuan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33751/komputasi.v23i2.113

Abstract

This study provides the development and implementation of a food supply chain analytics-based Business Intelligence (BI) dashboard for assisting the Indonesian national nutrition programmes, specifically in the monitoring of rice production. Rice is the number one staple food and a key part of nutrition strategies implemented through mass interventions like the National Nutrition Fulfillment Program, therefore, guaranteeing data-driven decision making all along the rice value chain is crucial. The data for this research are secondary data covering rice production, harvested area, rice productivity 2020 – 2024 processed and visualised with the software Tableau Public. The proposed dashboard is a combination of various analytical views: such as temporal trend analysis (line graph), spatial distribution mapping (geographical visualization), comparative regional performance (bar chart) and proportional productivity assessment (donut chart). These visualisations allows stakeholders to discover production patterns and regional inequalities in an interactive and concise format, and possible supply risks. The findings show the efficiency of the BI dashboard in visualizing large amounts of agricultural data into actionable information, which can be used to guide and shape agriculture strategies and policy formulation. The system successfully identifies the major provincial differences in harvested area as well as the differences in production areas and over time, and is important for adopting food production to meet the operational requirements of the nutrition service unit. This research adds to the extensive research work about the parallel between Business Intelligence and public policies and its applications to data-driven agriculture and food supply chain analytics. The study highlights the opportunities of BI-based dashboards to improve transparency, efficiency and responsiveness in national level food systems to foster nutrition program sustainability and scale. This approach can be further enhanced by incorporating real-time data sources and predictive analytics in future studies to further improve the decision support process.
Co-Authors Gita Parwati Saputri Hanisa Pebria Almunawarah Hica Nida Ilyas, Ilyas Lilis Indawati M. Ardianto M. Fikri Haikal Maykell Apryan Muh. Rasyid Ridha Muhammad Reyvan Anugrah Nadia Asparosa