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All Journal International Journal of Management Science and Information Technology (IJMSIT) Bhakti Nagori (Jurnal Pengabdian kepada Masyarakat)
Laili Fitriyani
Universitas Muria Kudus
Agriculture, Biological Sciences & Forestry Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Environmental Science Languange, Linguistic, Communication & Media

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PENDAMPINGAN RANCANG BANGUN SISTEM INFORMASI INVENTORY BAHAN BAKU PRODUKSI UNTUK MENINGKATKAN EFEKTIFITAS PRODUK ROTI DI RAHAYU BAKERY Laili Fitriyani; Fajar Nugraha
BHAKTI NAGORI (Jurnal Pengabdian kepada Masyarakat) Vol. 5 No. 2 (2025): BHAKTI NAGORI (Jurnal Pengabdian kepada Masyarakat) Desember 2025
Publisher : LPPM UNIKS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36378/bhakti_nagori.v5i2.5054

Abstract

Permasalahan pencatatan stok yang masih dilakukan secara manual menjadi kendala utama bagi Rahayu Bakery karena menimbulkan ketidaksesuaian data, keterlambatan pelaporan, serta sulitnya memantau persediaan secara akurat. Kegiatan pengabdian ini bertujuan mendukung digitalisasi pengelolaan bahan baku melalui penerapan sistem informasi inventaris berbasis web. Pelaksanaan program dilakukan melalui observasi, wawancara, analisis kebutuhan, perancangan sistem, pembangunan aplikasi, serta pelatihan bagi pemilik dan karyawan. Hasil implementasi menunjukkan adanya peningkatan akurasi pencatatan sebesar 20–25 persen, percepatan waktu input dari beberapa menit menjadi kurang dari 30 detik per transaksi, serta kemudahan dalam menghasilkan laporan otomatis. Fitur peringatan stok minimum juga membantu mencegah keterlambatan pengadaan bahan baku dan menjaga keberlanjutan proses produksi. Kebaruan kegiatan ini terletak pada penerapan sistem digital pertama di Rahayu Bakery serta model pendampingan sederhana yang dapat direplikasi oleh UMKM lain. Secara keseluruhan, program ini memberikan kontribusi nyata terhadap peningkatan efisiensi operasional dan memperkuat langkah transformasi digital UMKM dalam pengelolaan persediaan.
A Multicriteria Decision Support System for Used Smartphone Price Determination Using CRITIC–MARCOS Laili Fitriyani; Anteng Widodo; Yudie Irawan
International Journal of Management Science and Information Technology Vol. 6 No. 2 (2026): July - December 2026
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA), Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijmsit.v6i2.7929

Abstract

Used smartphone price determination at FS Phone Store Jepara has relied mainly on the seller’s subjective judgment, resulting in inconsistent valuation across units with comparable specifications and condition. This study developed a multicriteria decision support model that integrates the Criteria Importance Through Intercriteria Correlation (CRITIC) method for objective criteria weighting with the Measurement of Alternatives and Ranking according to Compromise Solution (MARCOS) method for alternative ranking, applied to 100 used smartphone alternatives evaluated on nine criteria: physical condition, RAM, ROM, chipset, camera, battery health, usage age, warranty, and completeness. To align the technical assessment with real market conditions, a market-price correction (85% MARCOS utility score plus 15% normalized market-price score) was applied to the final ranking. The proposed ranking was compared with Weighted Product (WP), MOORA, and Simple Additive Weighting (SAW) using Spearman rank correlation, and the accuracy of the resulting price recommendation was evaluated against an Independent Market Reference Price using Mean Absolute Error (MAE) and Mean Absolute Percentage Error (MAPE). The results show that Usage Age obtained the highest CRITIC weight (21.12%) and Camera the lowest (8.22%). The final price-corrected ranking achieved a strong to very strong correlation with SAW (rₛ = 0.9291), WP (rₛ = 0.8015), and MOORA (rₛ = 0.8256), and produced price recommendations with an MAE of IDR 90,600 and a MAPE of 4.63%, classified as highly accurate. The proposed model was implemented as a web-based decision support system, validated through black-box testing, user acceptance testing, and manual calculation verification, providing FS Phone Store Jepara with an objective, consistent, and market-aware tool for used smartphone price determination.
Co-Authors Anteng Widodo Fajar Nugraha Yudie Irawan