Objective Matrix Research Articles

Productivity analysis in oil palm plantations using the objective matrix method: case study PT. Dharma Satya Nusantara Tbk.

PT. DSN Group Tbk, a company operating in palm oil plantations, wood products, and renewable energy, manages a 112,450-hectare palm oil plantation, including 84,566 hectares of core plantation and 27,884 hectares of plasma plantation. This research aims to identify and measure productivity criteria in the palm oil plantation and suggest improvements. The Objective Matrix (OMAX) method was used to evaluate productivity, revealing that the highest productivity index in 2021 was 136.67% in March, while the lowest was -36.67% in September. In 2022, the highest index was 101.67% in August, with the lowest at -35% in May. The Fishbone Diagram identified causes for productivity declines: in 2021, human-related issues were the primary factor, while in 2022, failure to meet production targets was the main concern. Proposed improvements include redesigning harvesting tools to reduce worker fatigue, remapping the plantation, conducting regular checks for fruit quality, maintaining farm equipment, and training workers to prevent over-fertilization.

Analysis productivity of the mine facility department using the objective matrix method (OMAX): case study in coal mining company

PT Kideco Jaya Agung is one of the coal mining companies in Paser Regency, East Kalimantan, using an open pit mining system which at the end of 2012 succeeded in realizing the production, transportation, shipping target of 34 million tons. Coal mining is carried out using excavating equipment and hauling equipment. Activities begin with land clearing using bulldozers and / or small excavators, blasting overburden and / or removal of overburden, cleaning coal, loading and transporting coal to the ROM Stockpile. Throughout 2021 there has been a decrease in production results, it is necessary to analyze the productivity of the company's performance, which in this case leads to the Mine Facility department because it is directly related to production. The need to analyze productivity measurements so that it can be seen whether the Mine Facility department in this company is productive or not. The productivity measurement method that can be used to solve the problem is Objective Matrix (OMAX), because the OMAX productivity measurement model overcomes the problems of complexity and difficulty of productivity measurement by combining all important productivity criteria into an integrated form and interrelated with each other and easy to combine.

Analisis Produktivitas Data Center dengan Menggunakan Metode Objective Matrix dan Analytical Network Process di Dinas Kominfo Kaltim

Measurement of productivity in the Diskominfo Kaltim data center is crucial for several reasons. One of these reasons is the significant energy consumption associated with data centers. Furthermore, there has been no prior measurement of productivity in the Diskominfo Kaltim data center. In efforts to measure and analyze data center productivity, the Objective Matrix (OMAX) method can assist in identifying factors influencing productivity improvement. Besides utilizing the OMAX method for productivity measurement, the Analytical Network Process (ANP) method is employed for weighting. ANP can accommodate the interdependencies among criteria and sub-criteria. In August 2023, a performance indicator of -47.48% was obtained, indicating a decrease in productivity by 47.48% compared to the standard performance. In September 2023, the performance indicator was 23.342%, signifying an increase in productivity by 23.342% compared to the standard performance. In October 2023, the performance indicator was 127.809%, indicating a significant increase in productivity by 127.809% compared to the standard performance. Keywords: Analytical Network Process, Objective Matrix, Productivity

Productivity Improvement Based on Lean and Green Productivity in Herbal Tea Production Line CV. DM

Herbal tea is a functional beverage with significant health benefits, produced from processed plants, namely Chinese teak (Cassia angustifolia Vahl) and soursop leaves (Annona muricata L). However, herbal industry faces a productivity problem due to the production process time caused by human factors, machines, and raw materials. Productivity can also be affected by non-value-adding activities in the production processes, such as unnecessary inventory and overproduction. Fossil energy used by industry to generate electricity contributes to the production of solid waste, posing a long-term environmental risk. To address this problem, Objective Matrix (OMAX) is needed to measure the industry production rate, where all non-value-adding activities are reduced in lean and green productivity. The concept of lean and green productivity facilitates the identification of all activities to determine the locus of the highest waste, material, or energy usage. Therefore, this research aimed to propose alternative improvements for enhanced productivity by assessing production rates and identifying generated waste, energy consumption, and emissions. The results show that herbal industry had low productivity, 0.4, on a scale of 1. To improve efficiency, recommendations for lean aspect were based on forecast demand and workload. This improvement was projected to raise Process Cycle Efficiency (PCE) ore from 7.97% to 9.05% and reduce solid waste by maintaining and repairing filling machines. Green aspect could be improved by turning off idle facilities and machines, thereby minimizing electricity energy usage to 43.37%.

Analisis Produktivitas Tenaga Kerja Dinas Kependudukan Kabupaten Ende terhadap Pelayanan Masyarakat

This study aims to find out how the productivity of the Population Service workforce is towards community services at the Ende Regency Population Service Office. Collecting data in this study are observation, interviews and documentation. This research uses a type of qualitative research with the analysis technique used, namely productivity with the Objective Matrix (OMAX) method with criteria for working hours and the products produced. The steps using the OMAX method are determining criteria, determining performance, determining realistic productivity values, determining weights, scores and values, determining productivity indices and determining performance indicators. The results showed that the productivity of the population service workforce towards community services at the Ende Regency Population Service office from April to December fluctuated (up and down). The highest DISPENDUK labor productivity value is in September which is at level 10 and the lowest productivity value is in April which is at level 0. Labor productivity indicators in this study are indicators of hours worked and products produced. The results of the study show that the public services of the Ende Regency Population Service in making KTPs, KKs and birth certificates are not yet responsive to the interests of the community as service users. Based on field observations, many complaints from the people of Ende Regency are related to the services provided by employees or employees of the population service which can lead to fights between employees and the community.

Analisis Pengukuran Produktivitas Menggunakan Metode Pendekatan Objective Matrix (OMAX) pada Proses Pengolahan Air Bersih di PT. Dain Celicani Cemerlang KIM III Mabar

This research aims to measure the productivity level using the objective Matrix (OMAX) approach method based on raw material usage data, available operator hours data, and operator hours data. As well as determining the causes of decreased productivity using a cause-and-effect diagram (Fishbone Diagram). Based on the calculation of the productivity index for the period from January to June 2022, it was 39.89%. While the highest productivity occurs in May with a value of 480 and the lowest productivity is in March with a total yield of 116. Based on the achievement of the lowest productivity ratio score is found in ratio 2, namely, labour productivity with a total score of 15 and the lowest total score is in January, March and May. Changes in performance values indicate that the level of productivity is not yet good, it is necessary to improve the factors that influence it. The causal diagram shows that the machine damage factors also affect the operator’s working hours, which become ineffective. In terms of productivity, we must require pretty good machine maintenance so that production can run smoothly and machine maintenance on a regular basis. The workforce greatly influences the occurrence of low productivity due to inexperienced and unskilled operators and sufficient training for operators must be needed to increase the productivity of the company.
 Keywords: Objective Matrix (OMAX), Productivity, Clean Water.

Omax Application on a T-Shirt SME for Productivity Improvement

Titik Terang Convection is a small industry (SME) that produces t-shirts. They have yet to be able to meet targets according to customer demand. The production activity from May to July 2022 shows the company’s completion rate is 95%. Failure to achieve this target causes a decrease in consumer satisfaction levels. Therefore, this research aims to determine the factors that influence productivity and provide suggestions for efforts that need to be made to increase company productivity. The method used to measure productivity is OMAX (Objective Matrix). These measurements showed that the main factor causing the company’s productivity not to be achieved was low production output, mainly due to inefficient work elements during the production process. This resulted in delays in finished products and decreased consumer satisfaction. Improvement was done by creating a flow process chart (FPC) so that less efficient work elements could be detected and corrected according to the initial chart. The results of this study show improvements by increasing productivity by up to 65% while reducing cycle time by 5.58%. This shows that OMAX can help to see the main factors of low productivity, and FPC supports re-engineering the work elements to make them more efficient.

Robusta coffee processing productivity analysis using objective matrix (OMAX) method (Case study at PT Tinkerbels Permata Indah, Bogor, West Java)

PT Tinkerbels Permata Indah is one of the companies engaged in the coffee processing industry. The high market demand for coffee products made from robusta coffee requires PT Tinkerbels Permata Indah to continuously produce more coffee effectively and efficiently. Therefore, companies need to measure productivity to determine the performance of using several inputs to produce output. This research aimed to analyze the productivity level of robusta coffee bean production and to make a proposed improvement plan for PT Tinkerbels Permata Indah. The method used to measure productivity was the objective matrix (OMAX) method. The weight of each criterion was obtained with the help of the pairwise comparison method by filling out a questionnaire by the three experts involved. The results show that the company's highest productivity achievement was 5.893 in April 2022, and the lowest was in September 2022, with a current value of 0.880. Proposed improvements include companies needing to pay attention to their warehouses by maintaining temperature and humidity so that materials are not damaged by warehouse pests, implementing flexible daily hours to reduce wastage of employee work time, implementing an energy-saving culture, conducting energy audits, and implementing machinery maintenance management.

Productivity Analysis on Liquid Nitrogen (LIN) and Liquid Oxygen (LOX) Production Using Objective Matrix (OMAX) Method

The amount of liquid nitrogen (LIN) and liquid oxygen (LOX) production capacity experienced significant fluctuations, so it took several months before it reached the production target implemented by the company. It is necessary to measure productivity on the production floor. This study aims to determine the level of productivity of the production section, and the results of this measurement can be used to evaluate the company's productivity level. Productivity measurement using the Objective Matrix (OMAX) method. The criteria used in this study are material productivity, energy productivity, labor productivity, and finished product productivity. The highest productivity values achieved during measurements from January to December were 900 in LIN production in July and 790 in LOX production in January. Factors that cause low productivity are workers who are less careful or negligent in handling machine damage, the absence of a quality control system in checking raw materials before being placed in the storage warehouse, the lack of a shut-off valve between pipes, causing free air to enter, causing products to be rejected and also machines that work continuously for 24 hours.

A comprehensive evaluation of a company performance using sustainability balanced scorecard based on picture fuzzy AHP

The Balanced Scorecard (BSC) is a performance management tool that analyzes the relationship between tangible and intangible assets. Its ability to render business strategy visible has earned it the distinction of being a strategic management model. Sustainability has become an important part of daily and business life today. With the increasing importance given by stakeholders to environmental and social issues, companies find it necessary to evaluate sustainability activities in their performance evaluations. In order to meet this need, the Sustainability Balanced Scorecard (SBSC) emerged with the addition of a sustainability perspective or parameters to BSC. The number of academic studies pertaining to the application of BSC, which numerous companies and subjects to research have utilized, is inadequate. Due to its hierarchical structure and the necessity to evaluate numerous criteria, BSC is suitable for using multi-criteria decision-making (MCDM) methods. In this paper, an integrated approach consisting of SBSC, the Picture Fuzzy Analytic Hierarchy Process (PF-AHP), and the Objective Matrix (OMAX) method is proposed for the performance measurement of companies. The PF-AHP method has been reorganized for ease of application in determining the perspectives, strategic objectives, and Key Performance Indicators (KPIs) weights within SBSC. Additionally, the OMAX method has been employed for calculating the performance scores. This proposed approach was implemented in a factory operating in the glass industry. The SBSC created for the company includes five perspectives, 16 strategic objectives, and 34 KPIs. PF-AHP method was used to determine the weights of perspectives, strategic objectives, and KPIs to be used in the performance score calculation with OMAX. The weight of financial perspective is 0.267, the weight of the customer perspective is 0.247, the weight of the internal process perspective is 0.191, the weight of the learning and development perspective is 0.161, and the weight of the sustainability perspective is 0.134. The evaluations made by the decision-makers indicate that the company's performance measurement still adheres to the traditional framework. The performance score of the company is 6.14 out of 10.

Implementation of Objective Matrix and Root Cause Analysis for Productivity Analysis PT. Indomarco Adi Prima SP Deket Lamongan

PT Indomarco Adi Prima Stock Point Deket Lamongan is one of the business units of PT Indofood Sukses Makmur Tbk, which distributes consumer products. The company has 300 outlets in grocery stores and modern stores with a distribution target of 30 outlets for each salesman in a day. However, in its implementation, the target is only sometimes achieved. Other problems, such as product delivery errors and delivery delays, occur frequently. This research aims to analyze the company's productivity level using the Objective Matrix (OMAX) method. Productivity measurement also involves the Analytical Hierarchy Process (AHP) method in determining the weight of each ratio. Based on the calculation of productivity during the measurement period from January 2022 to December 2022 using Objective Matrix (OMAX), the results obtained are productivity index values that decreased during the measurement period, namely February (-4,75%), March (-3.90%), May (-17.48%), June (-11.92%), July (-31.28%), and October (-7.04%). Then, based on the results of productivity indicator analysis, it is known which ratio indicator has the lowest value and causes the productivity index to fall, namely ratio 1, ratio 2, ratio 5, ratio 6, and ratio 7. The decrease in productivity index based on Root Cause Analysis (RCA) using fishbone diagram tools due to no heat reducer, no computer and truck maintenance schedule, less communication between employees, travel time estimation is not good, attendance system updates are not carried out, limited warehouse area, high work intensity, no instructions for the preparation of goods in the warehouse area, stock goods arrive late, rainy season, road repairs, no periodic checks, and unpredictable road conditions.

Measurement of Supply Chain Management Performance in the Wood Pellet Industry Using the SCOR Method Based on AHP, OMAX, and Traffic Light System

Wood pellets are one of the renewable fuels that are environmentally friendly and have the advantage of lower emission values than fossil fuels, so the increasing use of renewable energy fuels today. PT Yale Woodpellet Indonesia is one of the industries engaged in the production of wood pellets. Due to the increasing demand, PT Yale Woodpellet Indonesia once did not reach the production target. The approach that can be used to fix this problem is the SCOR (Supply Chain Operation Reference) model combined with AHP (Analytic Hierarchy Process), OMAX (Objective Matrix) and Traffic Light System to support the research. Based on the results of observations, interviews and distributing questionnaires to the company, 12 performance indicators were selected which were adjusted to the company's conditions. The results showed that there are two KPIs (Key Performance Indicator) that have not reached the target, which are in the yellow category so that corrective action needs to be taken to improve the company's supply chain performance. The KPIs are Qualification Accuracy of Raw Material (Slc) and Number of Trouble Machines (M2a).

Productivity Improvement of Production Unit Using Objective Matrix (OMAX) Method at PT. X

PT. X is one of the industries in Indonesia that processes sugar cane into sugar and is one of the suppliers of national sugar needs. PT. X's production activities in 2022 still cannot reach the target and production per period has fluctuated. Therefore, this study was conducted with the aim of knowing the current level of total and partial productivity and can provide suggestions for improvement to increase the productivity of sugar production at PT. X in the future. The method used is Objective Matrix (OMAX) with the determination of the weight of the criteria using the AHP method. The criteria used in this study are raw materials, labor, boiler machine working hours, electricity and water. Based on the calculations that have been carried out, it can be seen that partial productivity on raw material criteria, the best productivity ratio owned by the company is 6.97, on labor criteria the ratio is worth 1521.86, on the criteria for boiler machine working hours worth 978.91. In the electricity criteria, the best productivity ratio is 3.89. In the water usage criteria, the highest productivity value is 1.83. The company's highest total productivity achieved was 750.7 in the 6th period of August and the lowest productivity with a value of 73.8 in the 2nd period of June. Improvements were made to all criteria, especially labor criteria and boiler machine working hours. With the application of the OMAX method, PT. X can improve partial productivity and total productivity in the future and identify factors that cause productivity to drop in a certain period.

Productivity Analysis on Black Tea Processing Process Using Objective Matrix (OMAX) Method at PT Perkebunan Nusantara VIII Kebun Pasirmalang

PT Perkebunan Nusantara VIII Pasirmalang (PTPN VIII) is one of the tea processing industries that has successfully become a black tea powder stakeholder. The high demand did not cause the achievement of tea processing results to increase. In fact, the achievement of product output in 2020 was always below the production target. The pandemic conditions at that time also affected the activities of black tea processing. The company has not conducted further analysis on what factors cause unstable production. Therefore, it is necessary to measure productivity in production to see the company's performance. The method used is the Objective Matrix (OMAX) method by identifying the company's performance value with various input factors used. The productivity calculation focuses on 3 inputs, namely raw materials, electrical energy, and labor. The results of measuring productivity in the production process using the OMAX method show that during 2020 the highest occurred in December 2020 and the lowest achievement in February 2020.

Productivity analysis and improvement of the production department at PT. Pojur - Madura using the objective matrix (OMAX) method

The growth of the industrial sector in 2023 will increase, this condition is reflected in the trend of the level of expansion in the value of the Industrial Confidence Index (IKI) which has increased. PT. Pojur is a company located in the Sumenep area engaged in the gas cylinder industry. For a business to survive and continue to grow, a business must be able to compete by maintaining product quality. One of the company's strategies that can be used is by measuring the company's productivity. This is used to determine the extent to which the effectiveness of the products produced and the efficiency of the use of resources owned by PT. Pojur. Several variables that affect productivity include raw materials, energy and labor used. The purpose of this study is to find out what the productivity index is at PT. Pojur with the Objective matrix (OMAX) method. The results of measuring productivity during the period January to December 2022 show a productivity of 19%, while the highest productivity occurs in November and December with a total of 26% and the lowest productivity is in January with a total of 0% and the cause of decreased productivity in the production section is lack of maintenance on machines and the lack of operator expertise in carrying out production.

Analysis of Productivity Measurement in CPO Production Using OMAX Method

The primary focus of this research revolves around the measurement of productivity and the factors that impact Crude Palm Oil (CPO) production which currently faces challenges in assessing whether existing productivity falls into the 'satisfactory' category. The contribution of this study is conducting a comprehensive productivity assessment, focusing on metrics and identifying the causes of productivity decline, especially potential points of failure. The measurement indicators use the Objective Matrix (OMAX) method which includes five ratios, including raw material utilization, energy consumption, labor efficiency, optimization of production targets, and production capacity utilization. The Analytical Hierarchy Process (AHP) is used to assign relative weight to factors that contribute to overall productivity. In addition, Failure Modes and Effects Analysis (FMEA) functions as a tool to determine the causes of decreased productivity by considering the potential for failure to occur. The research results show that productivity reached its highest point in March at 219.93% and the lowest in July at -67.33%. Based on the score assessment, this decline was mainly caused by the lack of optimal achievement of production targets, symbolized by a ratio of 4 to a score of 45. Potential causes for this ratio include non-compliance in selecting FFB that meets standards, and production standards that are too ambitious. targets, and mental and physical fatigue and stress. To improve overall performance, proposed improvements include the application of Internet of Things (IoT) technology, such as the use of sensors and automation systems in production processes, as well as investment in agricultural technology as a monitoring system. This increase is aimed at achieving higher production targets and overall efficiency.

Analisis Pengukuran Kinerja Perusahaan menggunakan Metode SMART System

The research aims to analyze company performance using the SMART system method at PT. Mohtra Agung Persada. Data processing in this quantitative research was carried out by weighting using the AHP model, then a scoring system with an objective matrix (OMAX) and determining color indicators using a traffic light system (TLS). The results found that the overall performance of PT Mohtra Agung Persada is considered to be in the yellow category, so the company needs to make efforts to improve the performance. Based on the identification results of 20 key performance indicators (KPI), it was found that 10 KPIs were in the green category, while the other 5 KPIs each were in the yellow and red categories. This indicates the performance of PT. Mohtra Agung Persada still needs improvement.

Analisis Produktivitas Untuk Meningkatkan Hasil Produksi dengan Menggunakan Metode Objective Matrix (Omax) (Studi Kasus : CV Bakso Empal Sapi)

CV. Bakso Empal Sapi is a company engaged in the manufacturing sector whose main work is in the form of operational production of finished food in the form of meatballs, the absence of productivity measurements in the company systematically makes it unable to meet production targets or maximize production capacity. Therefore, CV. Bakso Empal Sapi seeks to improve its productivity by measuring each productivity criteria. The method used to make measurements is the Objective Matrix (OMAX) method and weighting using the Likert Scale, then after obtaining the results of the calculation, an evaluation is carried out and find out the root of the problem that occurs against the worst productivity criteria using the Fishbone Diagram. Then an improvement plan is carried out which aims to increase productivity again. From the results of productivity measurements using the OMAX method, it can be seen that the best productivity occurred in December at 741.45 and for the worst productivity occurred in January at 143.38. Then from the achievement of the score it is known that the criteria that contribute less to the productivity index are criteria 5 with a score of 13 and 2 with a score of 21 and a strategy to increase productivity is to evaluate the root causes of decreased productivity in criteria 5 and criteria 2.

PENGUKURAN PRODUKTIVITAS LANTAI PRODUKSI MENGGUNAKAN METODE OBJECTIVE MATRIX (OMAX) DAN FAULT TREE ANALISIS (FTA)

PT Madubaru Madukismo is a company engaged in the manufacture of granulated sugar. The problem faced by PT Madubaru Madukismo is that the company has not reached the set production target. It is known that the production target set by the company is 30,000 quintals per month. So for measuring productivity using the objective matrix (OMAX) and fault tree analysis (FTA) methods where the objective matrix (OMAX) is a partial productivity measurement system developed to monitor productivity in each part of the company with productivity criteria in accordance with the existence of that part, and fault tree analysis (FTA) is a method used to analyze the risk that causes a failure. There are five measurement ratio criteria, namely production efficiency productivity, raw material efficiency productivity, production target effectiveness productivity, machine work effectiveness productivity and number of employees productivity. Then the results obtained The highest productivity value achieved during measurements in the period May to October 2022 was in August with a productivity level of 864 and the lowest was achieved in May of 35, as well as an analysis of indicators from the calculation of the ratio 1 to 5, it can be seen that the lowest ratio is at the 3, namely the effectiveness of production targets and ratio 1, namely productivity, production efficiency. Based on the minimum cut-set, the basic events that can cause a low ratio 3 and 1 are the lack of suppliers from sugar cane farmers, workers' working hours are reduced because raw materials are late, production room temperature is hot, and does not match the jobdesk
 
 Keywords: Productivity, Ratio, Criteria, Objective Matrix (OMAX), and Fault Tree Analysis (FTA).

Supply Chain Management Performance Measurement. Case Studies from Developing Countries

Supply chain management is critical for companies (suppliers, distributors, manufacturers, and retailers) and researchers. Supply chain sustainability is important in Developing Countries. To evaluate the performance of supply chains in companies located in Developing Countries like Albania and Kosovo, this article will examine the findings of the Supply Chain Operation Reference (SCOR) model. Utilizing the SCOR model can improve a company’s chances of survival and rivalry in the market. The selection of Performance Attributes appears to be the standard for measuring performance. By contrast, Snorm De Boer normalization equates the importance of Key Performance Indicators (KPIs), the Analytical Hierarchy Process (AHP) calculates the weighted criteria of KPIs, and Objective Matrix (OMAX) analyzes the measurement results of the KPIs. This article identifies unexplored areas for future research that will be beneficial in the field of supply chain management, such as the creation of supply chain performance metrics, creation of a model that is tightly integrated into the supply chain, and handling supply chain-related problems and issues.