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INVENTORY : Industrial Vocational E-Journal On Agroindustry
Published by Politeknik ATI Padang
ISSN : -     EISSN : 27231895     DOI : -
Core Subject : Engineering,
Control & Systems Engineering Engineering Industrial & Manufacturing Engineering
INVENTORY mainly focuses on applied research in Agro-industrial systems and its technology. Therefore, INVENTORY will only process and publish submitted research articles or review articles in the area of: 1. Production Planning and Inventory Control 2. Ergonomic and Work Study 3. Product Design and Development 4. Optimization of Production System 5. Information System 6. Manufacturing Facility Design 7. Maintenance System 8. Energy and agro-industrial machinery 9. Related Topic in Industry 4.0 10. Warehouse 11. Procurement 12. Transportation and Distribution 13. Logistic Decision Making 14. Management and measurement of supply chain performance 15. Other related topics with an object of agro-industry, its products (food and non-food) and services (under the decision from editorial board)
Arjuna Subject : Teknik (semua kategori) - Tenik Industri dan Manufaktur
Articles 112 Documents
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Pengukuran Kesiapan Industri Minuman Teh Menjangkau Revolusi Industri 4.0 dengan Metode INDI 4.0 Irna Ekawati; Puji Rahayu
INVENTORY: Industrial Vocational E-Journal On Agroindustry Vol 2, No 2 (2021): Published in December 2021
Publisher : Politeknik ATI Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52759/inventory.v2i2.62

Abstract

Rapid technological developments greatly affect the demand for products and services. So the industry needs to improve to maximize production achievements in order to meet market needs. The development of industry 4.0 provides an opportunity to revitalize the Indonesian manufacturing sector. Moreover, the Ministry of Industry has compiled "Making Indonesia 4.0" as a strategy and roadmap to develop industry 4.0 in Indonesia. Indonesia focuses on five main sectors for the development of industry 4.0, including the food and beverage, chemical, electronics, textile and clothing, and automotive industries. This research was conducted to determine the level of readiness of the manufacturing industry, especially the food and beverage industry at PT. Perkebunan Nusantara VIII to face industry 4.0 based on organizational and technological aspects. The measurement method used is the Indonesia Industry 4.0 Readiness Index (INDI 4.0). With these results, it can help the industry know the current level of achievement and know what needs to be done to get to the level of industry 4.0. Based on online and offline assessments carried out at the level of readiness, the people and culture aspects as well as the technology aspect have the highest level of use but are at Level 2. The technological aspect has the lowest readiness at Level 1. Overall, the company's readiness is at Level 1 (readiness stage). early) almost reached moderate readiness (Level 2).
Peramalan Penjualan Olein Curah di Perusahaan Pengolahan Kelapa Sawit Menggunakan Double Moving Average Nurike Oktavia; Alya Agustina; Ridha Luthvina
INVENTORY: Industrial Vocational E-Journal On Agroindustry Vol 2, No 2 (2021): Published in December 2021
Publisher : Politeknik ATI Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52759/inventory.v2i2.53

Abstract

Bulk olein is one of the products produced by Palm Oil Processing Company. Bulk cooking oil controls 75 percent of the production market share in Indonesia and about 77.5 percent of households in Indonesia use bulk cooking oil because the price is cheaper than packaged cooking oil. Demand for olein in the future is predicted to be continued to increase, so it is necessary to estimate future sales so that production activities become more effective and efficient. The method used in this study is the double moving average (DMA), which is one of the forecasting methods with data that has a trend. The calculation will be done by comparing the result of 3 moving, 4 moving and 5 moving. Forecasting error is calculated using mean absolute percentage error (MAPE). The calculation results show that the average MAPE from DMA with 5 moving has the smallest value. To verify these results, an analysis of the processed data was carried out, namely looking for data with the furthest distance from the linear line, namely t3 data and t7 data. The data is omitted in data processing and then the MAPE error value is recalculated. The results obtained are that DMA with 3 moving results have the smallest error, which is 11.863 percent. For this reason, the chosen forecasting calculation is a double moving average with 3 moving.
Analisis Pengendalian Mutu Kadar Air Teh Hitam pada Industri Pengolahan Teh Gustiarini Rika Putri; Rizki Fadhillah Lubis; Asri Yenita
INVENTORY: Industrial Vocational E-Journal On Agroindustry Vol 2, No 2 (2021): Published in December 2021
Publisher : Politeknik ATI Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52759/inventory.v2i2.60

Abstract

Quality control is intended to maintain and improve quality and maintain the safety of the products produced. This study uses Statistical Process Control by using several tools such as check sheets, control charts and fishbone diagrams to determine the cause of the decline in quality in tea with the aim that the next process can minimize the level of product quality decline. This study aims to determine the dominant cause of the decline in tea quality when viewed from the water content in tea. Based on the results of the study, it can be seen that the dominant cause of the decline in tea quality is the highwater content of dry tea. This type of deterioration can be caused by human error and other factors such as machine condition, raw materials and process monitoring.
Komparasi Metode Regresi Linier, Exponential Smoothing dan ARIMA Pada Peramalan Volume Ekspor Minyak Kelapa Sawit di Indonesia Trisna Yuniarti; Juli Astuti; Irfan Rusmar; Ika Widiana; Fajar Ciputra Daeng Bani
INVENTORY: Industrial Vocational E-Journal On Agroindustry Vol 3, No 1 (2022): Published in June 2022
Publisher : Politeknik ATI Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52759/inventory.v3i1.74

Abstract

This study aims to compare several methods to get the best methods on forecasting the volume of Indonesian palm oil exports. In addition, this study also aims to estimate the volume of Indonesian palm oil exports for the next five years. Some of the forecasting methods used in this study are linear regression, exponential smoothing, and ARIMA. The data used is historical data on the volume of palm oil exports from 1981 to 2020. The results of calculations and analysis show that the exponential smoothing model of the damped trend method produces the smallest error value compared to other methods, the MAD value is 860,353, the MSE value is 1,707,738,707,222, the RSME value is 1,306,805, and the MAPE value is 20.6%. This method has chosen to be the best forecasting method for the next five years. The forecast results obtained that the volume of Indonesian palm oil exports for the next five years are28.864.223,31 tons, 28.967.062,92 tons, 29.064.976,80 tons, 29.158.200,89 tons, and 29.246.959,81 tons.
Persepsi Pengguna Layanan Sistem E-Procurement Pengadaan Barang dan Jasa Pada PT. Sapta Sari Tama Muhammad Alde Rizal; Ifa Saidatuningtyas; Vutikha Cahya Melati
INVENTORY: Industrial Vocational E-Journal On Agroindustry Vol 3, No 1 (2022): Published in June 2022
Publisher : Politeknik ATI Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52759/inventory.v3i1.69

Abstract

The COVID-19 pandemic has caused the demand for health goods and services to increase. Medicine is one of the important components in the success of the implementation of health efforts. This study aims to evaluate the implementation of electronic procurement of goods and services at PT Sapta Sari Tama, a drug distributor. The results of this study are useful for evaluating the implementation of electronic procurement (E-Procurement) and the basis for developing the E-Procurement system there. This research uses validity test to determine valid variables, reliability test (alpha coefficient) to assess the consistency of answers from sources. Descriptive statistics are used to see the distribution of respondents' answers. The results showed that development can be done on the X5 variable which describes the informativeness of the E-procurement system used.
Pengendalian Persediaan Bahan Baku Penolong Menggunakan Metode Economic Order Quantity di Industri Makanan Olahan Wahyu Fitrianda Mufti; Zulhamidi Zulhamidi; Salman Alfarissi Rusmin; Musdirwan Musdirwan
INVENTORY: Industrial Vocational E-Journal On Agroindustry Vol 3, No 1 (2022): Published in June 2022
Publisher : Politeknik ATI Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52759/inventory.v3i1.77

Abstract

CV. XYZ is a company engaged in food processing, it processes meat as the main raw material. Beef rollade is one of the products produced by CV. XYZ using "Fort Quarter" (FQ) beef as raw materials and auxiliary ingredients, i.e spices, eggs, onions, TVP (Texture Vegetable Protein) Red, and flour. TVP Red is an important auxiliary raw material in beef rollade production. A shortage of auxiliary materials for TVP Red during the production process will disrupt the process and if production continues, the product quality will decrease. Currently, the inventory policy carried out by CV. XYZ is to check the inventory of and auxiliary materials just before carrying out production activities so that if there is a shortage of auxiliary materials, new orders are made at that time. Therefore, the aim of this study is to determine the number of orders and the optimal frequency of ordering TVP Red using the EOQ method and determining the total cost of TVP Red inventory before and after using the EOQ method. Based on the results of calculations carried out using the EOQ, it can be concluded that the number of economical purchases of TVP Red is 1,007.6 Kg per order. With that number of purchases, the frequency of ordering by CV. XYZ is reduced to 13 times in one year. The difference in the frequency of these purchases is 25 times in one year. With purchase frequency of 13 times in one year, it can save the total inventory cost of Rp. 163.972,4.
Decision Support System Menggunakan Analytic Hierarchy Process dan Analytical Network Process Pada Pemilihan Supplier Bahan Baku Isra Mouludi; Muthia Ramdhanti; Firdaus Jamsan
INVENTORY: Industrial Vocational E-Journal On Agroindustry Vol 3, No 1 (2022): Published in June 2022
Publisher : Politeknik ATI Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52759/inventory.v3i1.80

Abstract

This study aims to determine the best supplier for the selection of raw materials for NPK fertilizer based on three suppliers as an alternative in making supplier selection decisions with 4 criteria (price, quality, service, and delivery) and sub-criteria that have been determined and then arranged into a hierarchical structure. The use of Super Decision software which contains analytical capabilities from AHP (Analytic Hierarchy Process) and Analytic Network Process (ANP) can analyze priority and selectability levels by prioritizing the weight of each criterion against other criteria. the most influential in the selection of suppliers of raw materials for NPK fertilizer with the first priority being the quality criteria, the second priority being the price criteria, the third priority being the delivery criteria and the fourth priority being the service, based on the criteria and sub-criteria in the supplier selection being the main priority, supplier PT.A with the highest weight value 0.56492.
Penerapan Pengendalian Persediaan Bahan Baku Ban dengan Model Probabilistik dan Sistem Kuantitas Pemesanan Tetap Rizki Alfi; Muhammad Harif; Pharmayeni Pharmayeni
INVENTORY: Industrial Vocational E-Journal On Agroindustry Vol 3, No 1 (2022): Published in June 2022
Publisher : Politeknik ATI Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52759/inventory.v3i1.71

Abstract

Inventory of raw materials is very important for the smooth production of the company and meet consumer demand for the company in market demand. The demand for tire production fluctuates and causes the demand for products not to need to be met to order, due to the shortage of raw materials. To solve the shortage of raw materials, the company holds special orders in consideration of savings in ordering the cost of ordering messages. To overcome the shortage of raw materials, the company holds special orders or sudden orders which will increase the cost of the message. The purpose of this study is to determine the optimum ordering of raw materials to minimize total inventory costs by using a probability model of raw material inventory control with a fixed order quantity system (Q method). From the results of research using the probabilistic model of inventory control method Q method, obtained the optimal order quantity (q*), reorder point (rop), and safety stock (ss) with total inventory costs more efficient compared to the total inventory costs of the company's current policies. what is to be achieved in inventory control is to minimize the cost of ordering, and the cost of savings to the company.
Penerapan Model ARIMA Dalam Memprediksi Penjualan Produk Minuman Teh Botol Sosro Ukuran 350 mL Iga Dwi Wahyuni; Trisna Yuniarti; Amrin Rapi
INVENTORY: Industrial Vocational E-Journal On Agroindustry Vol 3, No 2 (2022): Published in December 2022
Publisher : Politeknik ATI Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52759/inventory.v3i2.99

Abstract

This study aims to provide suggestions for improvements in overcoming stock shortages of soft drink products using a forecasting method. The results of such forecasting will be compared with the forecasting methods used by the company at this time. The Autoregressive Integrated Moving Average (ARIMA) method was used in this study to improve the accuracy of demand forecasting in soft drink products (TBE 350 mL K12 Aseptic). This study used product sales data for the period January 2016 to January 2022. Based on the results of calculation and data processing, it is known that the best model is ARIMA (2,1,0) with a MAPE value of 35,966%. Meanwhile, the method used by the company has a MAPE value of 36.569%. It Shows that the ARIMA method (2,1,0) has better forecasting accuracy compared to the company's forecasting method with a MAPE difference of 0.604%.  The validation results were obtained forecasting in January 2022 with ARIMA (2,1,0) of 22,569 cartons, while the company's method was 21,194 cartons. This shows that the ARIMA method (2,1,0) is more accurate in forecasting because it has a forecast value in the January 2022 period close to the actual demand value, which is 23,193 cartons. The ARIMA model equation (2,1,0) for forecasting soft drink products in the following month is Zt = 0,494Zt-1 + 0,210Zt-2 + 0,297Zt-3
Pengukuran dan Analisis Kinerja Laboratorium Kalibrasi Untuk Meningkatkan Daya Saing Perusahaan Dita Indah Rahmawati; Evi Yuliawati
INVENTORY: Industrial Vocational E-Journal On Agroindustry Vol 3, No 2 (2022): Published in December 2022
Publisher : Politeknik ATI Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52759/inventory.v3i2.86

Abstract

Calibration Laboratory PT. ABC is one of the calibration specialist laboratories, offering calibration service facilities and tool sales via a job order system under the warranty and ISO departments. Currently, performance measurement in the Calibration Laboratory is based on incoming order targets being met by the warranty and ISO departments. This method of measuring performance cannot be used as a benchmark. As a result, the Calibration Laboratory must implement an adequate performance measuring method to determine whether or not the company's performance has been satisfactory. This study uses the Sink's Seven Performance Criteria technique to assess firm performance based on seven criteria: productivity, effectiveness, efficiency, quality, profitability, work life, and innovation. The performance measurement results obtained using this method can identify 23 Key Performance Indicators (KPI) at PT. ABC's Calibration Laboratory (Persero). The use of a scoring system based on the Objective Matrix (OiMAX) and the Traffic Light System is known to obtain a performance index of 7.78 for the Calibration Laboratory of PT. ABC in 2021. According to the Traffic Light System, Calibration Laboratory's total performance value is in the yellow category, indicating that average performance has also not met the aim. Management must strive harder to improve its performance by selecting criteria that are poor and have a high weight. They are then assessed and suggestions for improvement are made using Fishbone diagrams and 5W+1H.

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