Filia Sari, Rina
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Peramalan Hasil Panen Kelapa Sawit di PTPN IV Unit Berangir dengan Metode Dekomposisi (Ilmu Matematika) Setiawan, Agun; Filia Sari, Rina; Aprilia, Rima
JURNAL PEMBELAJARAN DAN MATEMATIKA SIGMA (JPMS) Vol 10, No 1 (2024)
Publisher : Fakultas Keguruan dan Ilmu pendidikan (FKIP) Universitas Labuhan Batu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36987/jpms.v10i1.5557

Abstract

Kelapa sawit adalah salah satu barang pokok dari subsektor perkebunan yang telah menarik minat signifikan dari pemerintah, investor dan petani. Dalam proses meramalkan hasil produksi kelapa sawiperusahaan sering kali mengalami kendala dalam proses menghitung hasil produksi tahunannya diantaranya kondisi Sumber daya manusia yang kurang baik, kondisi cuaca yang buruk, serta waktu kerja yang terbatas sehingga hal tersebut mempengaruhi dalam proses memprediksi hasil produksi. Salah satu dari beberapa metode yang dapat digunakan untuk melakukan prediksi adalah metode yang ada dalam ilmu matematika yaitu metode dekomposisi (pemecahan). Tujuan penelitian yaitu meramalkan hasil panen kelapa sawit dengan metode dekomposisi agar hasil prediksi lebih efektif dan waktu lebih efisien. Metode Dekomposisi adalah membagi atau memecah data deret waktu menjadi banyak pola dan mengidentifikasi masing-masing secara independen. Elemen-elemen ini bersifat musiman, siklus, dan berbasis tren. Komponen lainnya, di sisi lain, adalah komponen kesalahan yang bergerak secara acak dan tanpa pola sistematis.Model dekomposisi yang paling baik adalah model dekomposisi Multiplikatif, Hasil keakuratan model terbaik menggunakan Mean Absolute percentage Error (MAPE) sebesar 7.6016 dengan hasil peramalan 119,038.29 ton untuk Model Multiplikatif dan nilai MAPE 7.7829 dengan hasil peramalan 119,596.37ton untuk model aditif, sehingga selisih jarak peramalan antara model Aditif dan Multiplikatif sekitar 1.1813 dalam nilai MAPE atau sekitar 558 ton hasil peramalan hasil panennya. hal ini menunjukkan bahwa model Multiplikatif ini lebih digunakan dari pada model Aditif dalam memprediksi hasil panen kelapa sawit di PTPN IV Unit Berangir pada tahun 2023.
PLANNING OF RAW MATERIAL INVENTORY TO MAKE TOFU METHOD WITH MATERIAL REQUIRETMENSPLANNING (MRP) Damayanti; Filia Sari, Rina; Aprilia, Rima; Iman, Nur
Journal of Mathematics and Scientific Computing With Applications Vol. 3 No. 2 (2022)
Publisher : Pena Cendekia Insani

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1265.46 KB) | DOI: 10.53806/jmscowa.v3i2.79

Abstract

UD. Ai Kampung Bilah Tofu Factory, Labuhan Batu Regency is an industry that is engaged in the processing of Tofu. The purpose of this study is to determine the amount of tofu production from forecasting the number of requests for the previous period. Problem with UD. The aim of the Kampung Bilah Tofu Factory is that it has not implemented rules in controlling the supply of raw materials. In the production process, there are often obstacles, namely the use of raw materials and orders that are not appropriate. Optimum planning and inventory of material requirements is carried out using the Material Requirement Planning method. MRP is a method of planning and scheduling better inventory on a product that is produced. In this study the Material Requirement Planning method, the lot sizing technique used is Lot For Lot, Economic Order Quantity, Priode Order Quantity. Based on the calculation results, Material Requirement Planning using the lot sizing technique, namely Lot For Lot, produces a total cost of Rp. 2,640,000 minimum orders for raw materials.
THE OPTIMIZATION OF PLANTING PATTERN IN FOOD CROPS USING MULTI OBJECTIVE GOAL PROGRAMMING Permata Sari, Suci; Filia Sari, Rina; Ulfa Rahayu, Sri
Journal of Mathematics and Scientific Computing With Applications Vol. 6 No. 1 (2025)
Publisher : Pena Cendekia Insani

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53806/jmscowa.v6i1.991

Abstract

In the agricultural sector, food crops are very important in human life because the results of food crops are basic human needs. This study discusses planting patterns to meet the availability of food crops. Planting patterns are very important to implement because it is to increase food production, so that food remains available and does not lack food needs. The study aims to determine the planting pattern in food crops so that the availability of food crops is met. The method used is Multi objective goal programming. Multi objective goal programming has more than one goal function to be achieved by minimizing deviations from the goal. The research obtained with a land area of 72525 Ha, the number of workers is 1000000, the need for organic fertilizer is 639000 kg / Ha, and the need for urea fertilizer as much as 14000000 kg / Ha can optimize planting patterns by planting types of food crop commodities in the of paddy and green beans.
THE OPTIMIZATION OF PLANTING PATTERN IN FOOD CROPS USING MULTI OBJECTIVE GOAL PROGRAMMING Permata Sari, Suci; Filia Sari, Rina; Ulfa Rahayu, Sri
Journal of Mathematics and Scientific Computing With Applications Vol. 6 No. 1 (2025)
Publisher : Pena Cendekia Insani

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53806/jmscowa.v6i1.991

Abstract

In the agricultural sector, food crops are very important in human life because the results of food crops are basic human needs. This study discusses planting patterns to meet the availability of food crops. Planting patterns are very important to implement because it is to increase food production, so that food remains available and does not lack food needs. The study aims to determine the planting pattern in food crops so that the availability of food crops is met. The method used is Multi objective goal programming. Multi objective goal programming has more than one goal function to be achieved by minimizing deviations from the goal. The research obtained with a land area of 72525 Ha, the number of workers is 1000000, the need for organic fertilizer is 639000 kg / Ha, and the need for urea fertilizer as much as 14000000 kg / Ha can optimize planting patterns by planting types of food crop commodities in the of paddy and green beans.
Optimisasi Pengendalian Persedian Alat Tulis Kantor Menggunakan Metode Min-Max Stock pada BPKP Provinsi Sumatera Utara Aisyah, Siti; Aprianingsih, Melinda; Mutiara, Tia; Filia Sari, Rina; Syuhada Syuhada
Algoritma : Jurnal Matematika, Ilmu pengetahuan Alam, Kebumian dan Angkasa Vol. 3 No. 4 (2025): Algoritma : Jurnal Matematika, Ilmu pengetahuan Alam, Kebumian dan Angkasa
Publisher : Asosiasi Riset Ilmu Matematika dan Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62383/algoritma.v3i4.691

Abstract

The use of office stationery (ATK) plays an important role in supporting the smooth operation and administrative activities of government agencies, particularly the Financial and Development Supervisory Agency (BPKP). As an institution whose primary function is to supervise and evaluate state financial management, BPKP requires adequate logistical support to ensure optimal implementation of its duties. One form of such support is the availability of sufficient, timely, and appropriate ATK. Common problems often encountered in ATK management are overstock, which is excess inventory that leads to wasted budget and storage space, and stockout, which is a shortage of inventory that can hinder work activities. This study aims to control ATK inventory by applying the Min-Max Stock method. This method helps in determining the minimum and maximum inventory limits for each type of ATK, so that procurement of goods can be carried out in a planned and efficient manner. With this approach, agencies can maintain a balance between availability of goods and efficient use of the budget. The results of the study indicate that the application of the Min-Max Stock method in the BPKP environment produces more rational inventory figures. For the type of HVS paper F4 size ATK, the minimum and maximum values are set at 12 reams. Meanwhile, for A4-sized HVS paper, the minimum and maximum values are 72 reams and 98 reams, respectively. For printer ink, the ideal minimum and maximum quantities are 74 and 92 bottles. Meanwhile, BPKP logo folders have a minimum value of 240 sheets and a maximum of 325 sheets. The implementation of this method has a positive impact on the efficiency of the procurement and control process of stationery at BPKP.
PLANNING OF RAW MATERIAL INVENTORY TO MAKE TOFU METHOD WITH MATERIAL REQUIRETMENSPLANNING (MRP) Damayanti; Filia Sari, Rina; Aprilia, Rima; Iman, Nur
Journal of Mathematics and Scientific Computing With Applications Vol. 3 No. 2 (2022)
Publisher : Pena Cendekia Insani

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53806/jmscowa.v3i2.79

Abstract

UD. Ai Kampung Bilah Tofu Factory, Labuhan Batu Regency is an industry that is engaged in the processing of Tofu. The purpose of this study is to determine the amount of tofu production from forecasting the number of requests for the previous period. Problem with UD. The aim of the Kampung Bilah Tofu Factory is that it has not implemented rules in controlling the supply of raw materials. In the production process, there are often obstacles, namely the use of raw materials and orders that are not appropriate. Optimum planning and inventory of material requirements is carried out using the Material Requirement Planning method. MRP is a method of planning and scheduling better inventory on a product that is produced. In this study the Material Requirement Planning method, the lot sizing technique used is Lot For Lot, Economic Order Quantity, Priode Order Quantity. Based on the calculation results, Material Requirement Planning using the lot sizing technique, namely Lot For Lot, produces a total cost of Rp. 2,640,000 minimum orders for raw materials.
EFFICIENCY ANALYSIS OF PALM OIL INVENTORY CONTROL AT PTPN IV USING MONTE CARLO SIMULATION Devitasari; Yani Sitompul, Apri; Cintya Hasmi Pohan, Dian; Indriyani Ningsih, Fani; Filia Sari, Rina
Journal of Mathematics and Scientific Computing With Applications Vol. 6 No. 2 (2025)
Publisher : Pena Cendekia Insani

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53806/jmscowa.v6i2.1146

Abstract

Uncontrolled palm oil inventory can increase operational costs and disrupt production flow. This study aims to validate the effectiveness of the Monte Carlo simulation method in predicting the total palm oil inventory costs at PT. Perkebunan Nusantara IV. Unlike conventional approaches that ignore uncertainty, this study uses Monte Carlo simulation to model cost variability based on historical data from January to December 2024. The simulation process is performed by generating random numbers using the Linear Congruential Generator (LCG) method and determining the probability distribution from historical data. The simulation is run once using the probability distribution obtained from 12 months of historical data. The simulation results show a predicted total inventory cost of Rp 918.117.054.635.00, lower than the actual cost of Rp 919.958.281.123.00, resulting in a potential savings of Rp 1.841.226.488.00. To measure the reliability of the Monte Carlo simulation results, a MAPE calculation was performed by comparing the simulation results with actual data. The calculation results show that the MAPE value is 0.2%. These findings prove that Monte Carlo simulation not only improves forecasting accuracy but also empirically supports more optimal decision-making in inventory management and efficient stock level determination.