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All Journal Jurnal Maksipreneur: Manajemen, Koperasi, dan Entrepreneurship Jurnal Teknik Industri Terintegrasi (JUTIN) Indonesian Journal of Innovation Studies JURNAL INOVASI TEKNIK INDUSTRI Karya Nyata: Jurnal Pengabdian Kepada Masyarakat Journal of Rural Community Development (JRCD)
Belia Afifah
Politeknik Kampar
Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Energy Engineering Environmental Science Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Mechanical Engineering Social Sciences

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Performance Measurement in Service and Consultant Company with Balanced Scorecard-AHP Afifah, Belia; Muflihat, Syakia
Jurnal Maksipreneur Vol 13 No 2 (2024)
Publisher : Universitas Proklamasi 45

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30588/jmp.v13i2.1228

Abstract

PT XYZ is a services and consulting firm that wants to measure the company's overall performance. Currently, the company only measures financial aspects and cannot describe the company's overall performance. It was conducted to measure the company’s performance by identifying key metrics from three perspectives: financial, customer, internal processes, and learning and growth. Underpinned by the Analytical Hierarchy Process weighting system, the Objective Matrix, and the Traffic Light System rating system, the company's performance achieved an overall index score of 9.15. Of a total of 30 KPIs, 10 are yellow KPIs, which means the company's performance is in line with realistic goals, and the remaining 20 are green KPIs. It shows that the company's overall performance is in line with company goals. The 30 KPIs consist of 4 KPIs for financial, 8 KPIs for customer, 12 KPIs for business internal process, and 6 KPIs for learning and growth.
Optimalisasi Manajemen Persediaan dengan Metode EOQ: Studi Kasus pada UMKM Lopek Bugi Kabupaten Kampar Bamatraf, Lutfia; Afifah, Belia; Zulfikar, Zulfikar; Nurkholis, Nurkholis; Habibie, Indra
Jurnal Teknik Industri Terintegrasi (JUTIN) Vol. 8 No. 3 (2025): July
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jutin.v8i3.47808

Abstract

Lopek Bugi MSME in Kampar Regency, Riau, is one of the traditional regional food producers that faces challenges in raw material inventory management. The main problem is the imbalance between supply and demand, especially during periods of high demand, which often leads to raw material shortages and loss of sales potential. This study aims to optimize inventory management using the Economic Order Quantity (EOQ) method. A quantitative approach with case studies is used in this study, with data collected through direct observation, interviews, and historical documentation. The results of the study indicate that the EOQ method is able to determine the optimal order quantity that minimizes total inventory costs. In addition, this method helps in determining the reorder point (ROP) and safety stock to prevent stock shortages and anticipate demand fluctuations. This study provides practical benefits for Lopek Bugi MSME in managing its inventory efficiently and economically. The results of this study are expected to be a reference for the development of local government policies in supporting the optimization of MSME inventory management.
Pelatihan dan Pedampingan Kapasitasi Wirausaha Melalui Manajemen Keuangan dan STOK Pada UMKM Kuliner Afifah, Belia; Bamatraf, Lutfia; Nurkholis, Nurkholis; Zulfikar, Zulfikar
Journal Of Rural Community Development Vol. 2 No. 2 (2025): Volume 2 Nomor 2 Tahun 2025
Publisher : Jurusan Ilmu Sosial dan Ilmu Politik

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22437/jrcd.v2i2.29

Abstract

Abstrak Industri kuliner skala kecil berbasis rumahan atau UMKM menjadi pilihan utama karena fleksibilitas produksi dan risiko yang lebih rendah. Namun, banyak UMKM kuliner menghadapi kendala dalam manajemen keuangan dan stok, termasuk Warung Sarapan Pagi Simp. Manunggal di Kampar Kiri. Tantangan utama yang dihadapi adalah pencatatan keuangan yang belum sistematis dan pengelolaan stok yang kurang efektif, yang menyebabkan pemborosan bahan baku dan kesulitan dalam menentukan harga jual yang kompetitif. Oleh karena itu, tim pengabdian kepada masyarakat dari Program Studi Teknologi Rekayasa Logistik menginisiasi program pelatihan dan pendampingan dalam manajemen keuangan dan stok bagi pemilik usaha. Pelatihan ini mencakup pencatatan keuangan sederhana, analisis keuangan, perencanaan anggaran, serta strategi pengendalian biaya, sementara pendampingan manajemen stok berfokus pada pencatatan persediaan, serta perencanaan kebutuhan bahan baku. Pelatihan dan pedampingan pencatatan keuangan dan stok dilakukan menggunakan aplikasi SIAPIK (Sistem Informasi Aplikasi Pencatatan Informasi Keuangan). Program Pengabdian ini bertujuan untuk meningkatkan efisiensi operasional, profitabilitas, dan keberlanjutan usaha. Diharapkan, model pendampingan ini dapat diterapkan oleh UMKM kuliner lainnya guna meningkatkan daya saing dan ketahanan bisnis mereka.
Performance measurement design using objective matrix (Case study: an egg-laying chicken farming) Afifah, Belia; Habibie, Indra; Zulfikar, Zulfikar; Nurkholis, Nurkholis; Am, Andri Nofiar; Putri, Dini Amalia
Jurnal Teknik Industri Terintegrasi (JUTIN) Vol. 8 No. 1 (2025): January
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jutin.v8i1.38942

Abstract

Increased demand and quality pressures are affecting businesses, as experienced by an Egg Laying Chicken Farming, a small and medium-sized enterprise (SME) Poultry Farm located in Salo Subdistrict, Kampar Regency, Riau Province. Previously, performance evaluations were solely based on monthly egg product sales. Therefore, this research aims to analyze the potential and constraints, and to prioritize strategies for business owners by comprehensively measuring business performance, thus allowing for the provision of suitable strategic recommendations. The measurement model is based on several indicators such as Productivity of Laying Hens, Effective Working Hours, Ratio of defect product, Equipment Productivity, and Productivity of Labor Involved, using the Objective Matrix (OMAX) method. The measurement results are analyzed using the Traffic Light System (TLS) to identify the ratio of indicators that fall below the standards set by the business owner, allowing for further analysis to obtain useful strategic recommendations for future productivity improvement.
ANALISIS PERAMALAN PRODUKSI STANDARD INDONESIA RUBBER (SIR) MENGGUNAKAN APLIKASI POM QM DI PTPN 7 BENGKULU Ramadhani, Siti Dinar Rezki; Afifah, Belia
Jurnal Inovasi Teknik Industri Vol 4, No 2 (2025): JURNAL INOVASI TEKNIK INDUSTRI
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat Universitas Muhammadiyah Gombong

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26753/jitin.v4i2.1764

Abstract

Pada penelitian ini berdasarkan perhitungan dan analisis menggunakan metode time naive method, moving average 3 bulan, moving average 5 bulan dan exponential smoothing dapat dilihat dari nilai MAD, MASE, dan MAPE terkecil terdapat pada metode Singel Exponential Smoothing dengan α = 0.117 ≈ 0.12. Metode Singel Exponential Smoothing diperoleh nilai MAD (Mean Abusolute Deviation) sebesar 130.63, sedangkan MSE (Mean Squared Error) sebesar 27635.69, kemudian MAPE (Mean Absolute Precent Error) sebesar 0.25 atau sebesar 25%, sehingga dapat disimpulkan bahwa metode ini merupakan metode yang efektif digunakan untuk meramalkan produksi SIR PTPN VII  di periode berikutnya dibandingkan dengan 3 metode lainnya. Hasil permalan produksi SIR memiliki rata-rata produksi sebesar 663.25 palet ≈ 664 palet/bulan dengan hasil peramalan per bulan berikutnya selama satu tahun dapat dilihat pada gambar 11. Sehingga dalam penelitian ini metode terpilih yang dapat digunakan untuk penentuan peramalan produksi adalah Exponential Smoothing yang dapat diterapkan pada PT. Perkebunan Nusantara VII karena memilik nilai error  terkecil.
Peningkatan Mutu dan Efisiensi Keripik Ubi dengan Teknologi Rendah Minyak di UMKM Bu Inun Bangkinang, Kampar Putri, Dini Amalia; Kurniaty, Tri; Afifah, Belia; Dewi, Ilma Satriana; Yogy Rasihen; Agung Pramono; Rezki Putra
Karya Nyata : Jurnal Pengabdian kepada Masyarakat Vol. 2 No. 4 (2025): Desember : Karya Nyata : Jurnal Pengabdian kepada Masyarakat
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/karyanyata.v2i4.2568

Abstract

Food-based micro, small, and medium enterprises (MSMEs) play a crucial role in supporting household economic growth, including in Sialang Village, Bangkinang Subdistrict. One of the local businesses, “Keripik Cabe dan Mie Kuning Bu Inun,” produces cassava chips using traditional frying methods, which result in high oil absorption, inconsistent quality, short shelf life, and low production efficiency. Limited knowledge of food processing technology, sanitation, and food safety standards further hinders business development. This community service program aims to address these challenges through the application of low-oil frying technology, training on Good Manufacturing Practices (GMP), production assistance, and periodic evaluation. The implementation method includes field observation, technical training, technology demonstration, production mentoring, and monitoring. The results show significant improvements in product quality, indicated by lower oil content, crispier texture, brighter color, and longer shelf life. Efficiency in oil usage and process stability also increased. Moreover, the knowledge and skills of MSME actors in sanitation, food safety, and production management improved considerably. Overall, the program successfully enhanced the competitiveness of the MSME, strengthened production sustainability, and provided positive economic impacts. This initiative can serve as a replicable model for other food MSMEs facing similar challenges.
Developing a Supply Chain Management Application for Laying Hens with Integrated Egg Quality Detection Based on Computer Vision (Case Study of a Laying Hen MSME) : Pengembangan Aplikasi Manajemen Rantai Pasok untuk Ayam Petelur dengan Deteksi Kualitas Telur Terintegrasi Berbasis Penglihatan Komputer (Studi Kasus Usaha Mikro, Kecil, dan Menengah (UMKM) Ayam Petelur) Bamatraf, Lutfia; Akbar, Rahmad; Rahman, Zumardi; Afifah, Belia; Nurkholis, Nurkholis
Indonesian Journal of Innovation Studies Vol. 27 No. 1 (2026): January
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/ijins.v27i1.1873

Abstract

Manual egg grading and fragmented supply chain management in poultry SMEs often cause inconsistent egg quality decisions, inaccurate inventory records, and avoidable distribution losses. This study aims to develop and evaluate an integrated supply chain management system that embeds computer vision–based egg quality detection to improve real-time operational control and decision-making. The system is implemented as a digital SCM application connected to a convolutional neural network model trained on 1,200 labeled egg images across five quality categories (good, cracked, dirty, fertile, non-fertile), with performance assessed using accuracy, precision, recall, F1-score, and inference time, alongside before–after operational and economic measurements in an SME workflow. Results show the CNN achieves 92% validation accuracy with average precision 0.92, recall 0.94, F1-score 0.93, and 0.11 seconds per egg inference, enabling practical real-time classification. After integration, egg sorting accuracy increases from 75.5% to 90.2%, inspection time decreases by 81.3%, sorting capacity rises 5.3×, and inventory accuracy improves from 82% to 98%, reducing daily stock discrepancies by 85%. The novelty lies in tightly coupling computer vision quality outputs with SCM inventory and distribution modules, creating immediate stock updates and automated control points. The findings imply that AI-enabled digital supply chain management strengthens quality assurance, inventory optimization, and SME profitability, supporting scalable modernization of food supply chains through deployable computer vision systems. Highlights: Integrated computer vision raises egg sorting accuracy from 75.5% to 90.2%. Real-time CNN classification reaches 92% validation accuracy with 0.11 s inference. Digital SCM lifts inventory accuracy to 98% and delivers 193% ROI payback. Keywords: Computer Visio, Supply Chain Management, Egg Quality Detection, Convolutional Neural Network, Poultry SMEs, Inventory Optimization
Co-Authors Agung Pramono Am, Andri Nofiar Bamatraf, Lutfia habibie, indra ILMA SATRIANA DEWI Muflihat, Syakia Nurkholis Nurkholis Nurkholis Nurkholis PUTRI, DINI AMALIA Rahmad Akbar Rahman, Zumardi Ramadhani, Siti Dinar Rezki Rezki Putra Tri Kurniaty Yogy Rasihen Zulfikar