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All Journal Ilomata International Journal of Management Jurnal Ilmu Manajemen Terapan (JIMT) Ilomata International Journal of Management Jurnal Manajemen dan Penelitian Akuntansi (JUMPA)
Noviasari, Tria Putri
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Humanities Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Social Sciences

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Peramalan Permintaan Ayam Segar Menggunakan Simulasi Monte Carlo untuk Pengelolaan Persediaan pada Restoran XYZ Maridelana, Vanya Pinkan; Noviasari, Tria Putri; Prakosa, Setya Widyawan
Jurnal Manajemen dan Penelitian Akuntansi (JUMPA) Vol 18 No 2 (2025): Juli-Desember
Publisher : Sekolah Tinggi Ilmu Ekonomi Cendekia Bojonegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58431/jumpa.v18i2.361

Abstract

ayam segar pada Restoran XYZ selama masa libur mahasiswa menggunakan simulasi Monte Carlo. Penurunan permintaan sebesar 40–50% selama periode libur menyebabkan tingginya risiko ketidaksesuaian antara stok dan kebutuhan aktual, sehingga diperlukan pendekatan prediksi yang mampu menangkap ketidakpastian permintaan bahan baku yang bersifat perishable. Data historis permintaan selama 60 hari digunakan untuk membangun distribusi probabilitas dan probabilitas kumulatif yang menjadi dasar pembangkitan bilangan acak melalui metode Linear Congruential Generator (LCG). Hasil simulasi menunjukkan bahwa rata-rata permintaan ayam segar sebesar 17.15 kg per hari, yang mengindikasikan tingkat akurasi model sebesar 100.41%. Nilai simpangan baku simulasi yang lebih tinggi (5.92) dibandingkan historis (4.97) menunjukkan peningkatan volatilitas permintaan yang perlu diantisipasi. Berdasarkan hasil ini, penelitian merekomendasikan penetapan stok harian sekitar 23.07 kg (rata-rata + SD) sebagai safety stock untuk meminimalkan risiko stock-out dan menjamin kelancaran operasi. Temuan ini membuktikan bahwa simulasi Monte Carlo merupakan pendekatan yang efektif, realistis, dan aplikatif dalam perencanaan persediaan restoran berbasis produk segar di tengah fluktuasi permintaan musiman.
Evaluasi Kualitas Layanan OTA dalam Perspektif Manajemen Operasi Jasa: Pendekatan Text Mining dan Sentiment Analysis pada Aplikasi Traveloka Maridelana, Vanya Pinkan; Prakosa, Setya Widyawan; Noviasari, Tria Putri
Jurnal Ilmu Manajemen Terapan Vol. 7 No. 3 (2026): Jurnal Ilmu Manajemen Terapan (Januari - Februari 2026)
Publisher : Dinasti Review Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/jimt.v7i3.7825

Abstract

Penelitian ini bertujuan untuk menganalisis kualitas layanan aplikasi Traveloka berdasarkan ulasan pengguna di Google Play Store menggunakan pendekatan text mining dan sentiment analysis berbasis IndoBERT. Data yang digunakan terdiri dari 121.498 ulasan berbahasa Indonesia di sepanjang tahun 2025. Analisis dilakukan melalui tahapan preprocessing, klasifikasi sentimen, serta pemetaan ulasan ke dalam empat dimensi E-S-QUAL yaitu efficiency, fulfillment, system availability, dan privacy. Hasil analisis menunjukkan bahwa 48,8% ulasan bersentimen positif dan 23,7% bersentimen negatif dengan rasio 2:1. Model IndoBERT menunjukkan performa yang baik dengan akurasi 89,2% dan skor F1 89,3%. Pengukuran skor kualitas layanan menunjukkan bahwa dimensi efficiency memperoleh skor positif (+0,39), sementara fulfillment (-0,26), system availability (-0,44), dan privacy (-0,71) menunjukkan skor negatif. Temuan ini mengindikasikan bahwa meskipun aplikasi dinilai mudah digunakan, masih terdapat permasalahan pada proses pemenuhan layanan, stabilitas sistem, dan keamanan data. Secara praktis, penelitian ini memberikan kontribusi bagi Traveloka dalam mengidentifikasi area prioritas perbaikan operasional berbasis data ulasan pengguna secara real-time, khususnya pada penguatan integrasi sistem dengan mitra layanan, peningkatan keandalan infrastruktur teknologi, serta optimalisasi perlindungan data dan keamanan transaksi. Pendekatan ini juga dapat dimanfaatkan sebagai mekanisme monitoring kualitas layanan digital secara berkelanjutan guna mendukung strategi peningkatan kepuasan dan loyalitas pengguna.
Control of Notebook Inventory Using an Integrated ABC, EOQ, and ROP Approach for Seasonal Demand Planning in the 2026 Academic Year at PT Senyum Media Utama Johannata, Dimas; Muhsyi, Abdul; Handriyono; Noviasari, Tria Putri
Ilomata International Journal of Management Vol. 7 No. 2 (2026): April 2026
Publisher : Yayasan Sinergi Kawula Muda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61194/ijjm.v7i2.2120

Abstract

This study aims to analyze and optimize notebook inventory control at PT Senyum Media Utama in order to anticipate the demand surge during the 2026 new academic year period (May–August). The current inventory policy relies heavily on experience-based decisions, which may result in overstock or stock shortages during seasonal fluctuations. Therefore, this research proposes a more systematic and quantitative approach by integrating ABC analysis, Economic Order Quantity (EOQ), Safety Stock, and Reorder Point (ROP). Inventory performance is evaluated based on total inventory cost efficiency and the establishment of quantitative reorder thresholds under a specified service level. Demand forecasting is conducted using monthly historical data from 2022 to 2024, with model validation through a train-test split approach. The results show that 9 Category A notebook products account for 70.02% of total annual inventory investment, highlighting their critical importance. Based on model assumptions, the EOQ method reduces projected total inventory costs from IDR 4,511,172 to IDR 3,664,004, resulting in an efficiency improvement of approximately 19%. In addition, Safety Stock and ROP calculations generate measurable reorder thresholds to support inventory availability and reduce stockout risk during peak demand, targeting a 95% service level. However, these findings are model-based and depend on assumptions such as constant holding costs, stable lead times, and the selected service level. Since the framework has not yet been implemented, further validation through real-world application or simulation is required. Future research is recommended to incorporate stochastic demand and lead time variability, as well as cross-company comparisons, to enhance the robustness and generalizability of the proposed approach.
Control of Notebook Inventory Using an Integrated ABC, EOQ, and ROP Approach for Seasonal Demand Planning in the 2026 Academic Year at PT Senyum Media Utama Johannata, Dimas; Muhsyi, Abdul; Handriyono; Noviasari, Tria Putri
Ilomata International Journal of Management Vol. 7 No. 2 (2026): April 2026
Publisher : Yayasan Sinergi Kawula Muda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61194/ijjm.v7i2.2120

Abstract

This study aims to analyze and optimize notebook inventory control at PT Senyum Media Utama in order to anticipate the demand surge during the 2026 new academic year period (May–August). The current inventory policy relies heavily on experience-based decisions, which may result in overstock or stock shortages during seasonal fluctuations. Therefore, this research proposes a more systematic and quantitative approach by integrating ABC analysis, Economic Order Quantity (EOQ), Safety Stock, and Reorder Point (ROP). Inventory performance is evaluated based on total inventory cost efficiency and the establishment of quantitative reorder thresholds under a specified service level. Demand forecasting is conducted using monthly historical data from 2022 to 2024, with model validation through a train-test split approach. The results show that 9 Category A notebook products account for 70.02% of total annual inventory investment, highlighting their critical importance. Based on model assumptions, the EOQ method reduces projected total inventory costs from IDR 4,511,172 to IDR 3,664,004, resulting in an efficiency improvement of approximately 19%. In addition, Safety Stock and ROP calculations generate measurable reorder thresholds to support inventory availability and reduce stockout risk during peak demand, targeting a 95% service level. However, these findings are model-based and depend on assumptions such as constant holding costs, stable lead times, and the selected service level. Since the framework has not yet been implemented, further validation through real-world application or simulation is required. Future research is recommended to incorporate stochastic demand and lead time variability, as well as cross-company comparisons, to enhance the robustness and generalizability of the proposed approach.
Co-Authors Abdul Muhsyi Handriyono Johannata, Dimas Prakosa, Setya Widyawan Vanya Pinkan Maridelana