cover
Contact Name
Rizki Fadhillah Lubis
Contact Email
inventory@poltekatipdg.ac.id
Phone
+6285270764141
Journal Mail Official
inventory@poltekatipdg.ac.id
Editorial Address
Kampus Politeknik ATI Padang Jalan Bungo Pasang Tabing Padang, 25171 Indonesia
Location
Kota padang,
Sumatera barat
INDONESIA
INVENTORY : Industrial Vocational E-Journal On Agroindustry
Published by Politeknik ATI Padang
ISSN : -     EISSN : 27231895     DOI : -
Core Subject : 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)
Articles 6 Documents
Pengaruh Faktor Psikologis dan Regulasi Terhadap Perilaku Konsumsi Energi Listrik Sektor Rumah Tangga Berdasarkan Usia Senjawati, Maria Isfus; Susanti, Lisa; Raimona, Hilma; Putri, Gustiarini Rika
INVENTORY: Industrial Vocational E-Journal On Agroindustry Vol 1, No 2 (2020): Published in December 2020
Publisher : INVENTORY: Industrial Vocational E-Journal On Agroindustry

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Abstract

The increase in household electrical energy causes shrinkage of energy so that efforts are needed to conserve energy, especially electrical energy. One attempt to reducing the scarcity of electrical energy is by changing behavior. Changes in the behavior of electricity consumption can be influenced by psychological factors (norms, awareness, etc.), demographic factors (age, gender, income, etc.), and other factors such as regulations or policies from the government to conserve energy. This study seeks to determine the effect of psychological and regulatory factors on the behavior of household electricity consumption based on age. The method used was to conduct a survey by distributing questionnaires, the respondents obtained were 808 respondents. The results of the questionnaire were processed using the Structural Equation Model Partial Least Square (SEM-PLS) using the Smart-PLS software. The results of this study indicate that psychological and regulatory factors can explain their effect on the behavior of electrical energy consumption for ages <30 years of 50.9%. For 30-50 years old it is 49.5% while those> 50 years old are 59.3% and the rest is explained by other factors / variables outside those that have been studied so that it can be concluded that psychological factors and regulatory factors have a significant and significant influence. positive behavior towards household electrical energy consumption at all ages. it is expected that the results of this study can become the basis for making stronger regulations or policies in the field of energy conservation.
Supply Chain Management Agroindustri : Sebuah Literature Review Deperiky, Dedet; Santosa, Santosa; Hadiguna, Rika Ampuh; Nofialdi, Nofialdi
INVENTORY: Industrial Vocational E-Journal On Agroindustry Vol 1, No 1 (2020): Published in June 2020
Publisher : INVENTORY: Industrial Vocational E-Journal On Agroindustry

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Abstract

Agroindustry needs further attention from the relationship between supply chain actors to improve efficiency in terms of partnerships and the application of modern technology today. Supply chain management in agroindustry emphasizes a management approach to a network of facilities and distribution channels that includes procurement of materials, production, and delivery of agroindustry products to end consumers. The research methodology used is the Systematic Literature Review (SLR) method, which is the literature review method that identifies, evaluates, and interprets all findings on a research topic, to answer research questions. The results of the study imply that in order to manage the agroindustry supply chain the entire supply chain structure must be well understood by focusing more on the quality of external relations with supply chain actors and who focus actor on partnership, trust and sustainability in conducting agroindustry supply chain activities. Agroindustry managers must investigate why they must manage, what must be managed and how to manage agroindustry supply chains. To explore the agroindustry supply chain that a manager must integrated the system, examine the nature, linkages and dependencies between business operations in the agroindustry supply chain. Suggestions from researchers that this four-step approach to meeting sustainability must be implemented in the agroindustry supply chain, and optimalized or later all organizations will adopt the SCM concept in achieving competitive advantage.
Analisis Beban Kerja Dan Jumlah Tenaga Kerja Pada Bagian Bahan Baku Menggunakan Metode Workload Analysis Candrianto, Candrianto; Ningsih, Radna; Satrianto, Alpon; Lubis, Rizki Fadhillah
INVENTORY: Industrial Vocational E-Journal On Agroindustry Vol 1, No 1 (2020): Published in June 2020
Publisher : INVENTORY: Industrial Vocational E-Journal On Agroindustry

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Abstract

This research was conducted at PT. XYZ in the garden section, a company engaged in the forestry sector of industrial plants and products that produce HVS paper (such as paper one, otc), paperboard, kiky books, tissue (teas). PT.XYZ manages raw materials that are not in accordance with the target, the purpose of this study is to determine the amount of workload and the number of workers in the garden section at PT. XYZ. To collect the data needed in this study, data collection techniques were used through direct observation of the object under study, interviews and various other reference sources. Data analysis using the Workload Analysis method. From the results of calculations using the method, workload is one aspect that must be considered by every company, and workload must be considered for a worker to get harmony and high work productivity. By using the Workload Analysis method and to find out how much the optimal number of workers is in the raw material section. After analyzing the data using this analysis, it can be obtained that the average workload on the raw material section is 184.39%, which means that the workload is excessive. In order for the workload of each workforce in the garden to be optimal, it is advisable to increase the workload with an average workload of 92.19% so that effectiveness can be achieved.
Pengembangan Model Economic Production Quantity Mengakomodasi Continue dan Discrete Demand serta Kebijakan Rework Secara Simultan Oktavia, Nurike; Henmaidi, Henmaidi; Fithri, Prima
INVENTORY: Industrial Vocational E-Journal On Agroindustry Vol 1, No 1 (2020): Published in June 2020
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Abstract

Inventory of finished goods needs to be planned and controlled regularly. Fulfilling customer demand whenever and wherever is the main purpose of the supply. This issue is related to production activities. Many companies use the Economic Production Quantity (EPQ) Model in determining the size of their lot productions. This model is able to show how to minimize total production costs by reducing inventory costs. Customer behavior at PT XYZ makes product delivery divided into 2 types. The first type, finished goods is sent continuously in small amounts called continue demand. The second type, products is sent between certain time intervals in large quantities called discrete demand. Basic EPQ Model’s parameters do not accommodate a system like this. In addition, PT XYZ requires rework for products that do not pass the quality test. Therefore, this research was developed to formulate EPQ model that can accommodate two types of demand, continue and discrete, as well as the existence of rework policy. This study tries to provide another approach in solving the derivation problem using the "Arithmetic-Geometric Mean" method. The results of this study will display a mathematical formulation to find the optimal production cycle time for PT XYZ. Numerical examples are discussed to show practical models.
Pengendalian Kualitas Proses Pengemasan Gula Karung Menggunakan Metode Statistical Process Control (SPC) Sardani, Rizaldi; Faradila, Devi; Viarani M, Suci Oktri; Supriadi, Eko
INVENTORY: Industrial Vocational E-Journal On Agroindustry Vol 1, No 1 (2020): Published in June 2020
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Abstract

Quality is a benchmark to determine the level of good and bad of a product. The level of quality of a product will affect customer satisfaction, hence, to produce high quality products, it is necessary for a company to have a quality control process. Quality control is a process that aims to maintain the quality of products and services that have been promised to consumers. In this study, quality control is carried out in the sugar packaging process. Where in the sugar packaging process found the resulting product has a poor quality, defective and not in accordance with specifications. This study uses the Statistical Process Control (SPC) method which aims to determine the causes of defective products with the intention that the packaging process can further minimize the level of product defects. The SPC method is a statistical analysis technique with seven statistical tools or seven tools. Based on the results of the study it can be seen that the cause of product damage / defects in the product packaging process is caused by three types of damage namely damage due to conveyor (38.17%), damage due to machine pinched (35.82%), and damage due to loose seams (26,00%) This type of damage can be caused by human error and other factors such as engine condition, engine cleanliness and the monitoring process. Proposed improvements recommended for the company are to provide training to employees, make clear work instructions, conduct periodic maintenance for the machines used, supervise all work areas, and carry out quality control for every acceptance of raw materials.
Evaluasi Kinerja Tenaga Kerja Bagian Sortasi Biji Pinang (Areca catechu, L.) Pada CV. ABC Berdasarkan faktor-Faktor Yang Berpengaruh Arsil, Fikri; Santosa, Santosa
INVENTORY: Industrial Vocational E-Journal On Agroindustry Vol 1, No 1 (2020): Published in June 2020
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Abstract

Evaluation of influental factors to labors productivity will get the recommendation on human resource development and increase labors performance by company. The aim of this research to know about the effect on motivation, working environmental, salary, working responbility, and lifespan ofareca nuts sorting labors in CV. ABC based on influental factors. The research uses survey method and doubled linear regression analysis for data processing. The result shows that motivation, working environmental, salary, working responbility, and lifespan have effect on sorting labors in CV. ABC with doubled linear regression analysis is    Y = -4,640 + 0,210 X1 + 0,089 X2 + 0,080 X3 - 0,070 X4 + 0,813 X5.  This equality shows coefficient value from lifespan variable is biggest, it is 0,813. Thus, evaluation to sorting labors get 5 recommendations for increasing labors performance. 

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