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Rahmaniah Malik
Universitas Muslim Indonesia
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Energy Engineering Industrial & Manufacturing Engineering Mathematics Transportation

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THE INFLUENCE OF EMPLOYEE SELECTION PROCESS ON EMPLOYEE PERFORMANCE AT THE CAMMING SUGAR FACTORY Dirgahayu Lantara; Abd Mail; A. Sriani Bulqis; Anis Saleh; Nur Ihwan Saputra; Rahmaniah Malik; Nurul Chairany; Taufik Nur
Journal of Industrial Engineering Management Vol 7, No 3 (2022): Journal of Industrial Engineering and Management Vol 7 No 3
Publisher : Center for Study and Journal Management FTI UMI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33536/jiem.v7i3.643

Abstract

Human resources are one of the resources that exist in the organization which consists of people and their activities this is the most resources compared to other resources. At the Camming Sugar Factory, human resources are the main means to achieve the desired goals of the company, especially in the production section in order to achieve maximum production results with the aim of maintaining the survival of the company and employees being able to perform optimally in the form of work productivity. To achieve this goal, qualified human resources are needed, one way is through a good and correct selection process. The performance of employees at the camming sugar factory is said to be less than good. This can be seen from the conditions that have occurred in the Camming sugar factory, namely the threat of bankruptcy with an average loss of more than Rp. 100 billion per year due to production results which are only 30 percent of the maximum potential since 2001. Based on the parameters that cause losses at the Camming Sugar Factory which is thought to be caused by weak management which is considered to be the main trigger, it is necessary to research and review what factors influenced the decline of the factory..The method used in this research is linear regression method, in which the method can determine the hypothesis and the relationship between the independent variable and the bound variable. The research results obtained from the coeficients table obtained a significance value of 0.000 0.05, so it can be concluded that the Selection variable (X) affects the Performance Variable (Y). From the statistical calculation of the t test, t count is 6,731 from t table then H1 is accepted and Ho is rejected. This means that there is a significant and positive effect of the employee selection process on the performance of employees at the Camming Sugar Factory. Thus the hypothesis is proven
ANALYSIS OF QUALITY CONTROL OF T-SHIRT SCREEN PRINTING PRODUCTS WITH SIX SIGMA DMAIC METHOD ON CV. MACCA CLOTHING. Nurhayati Rauf; Ahmad Padhil; Takdir Alisyahbana; Anis Saleh; Muhammad dahlan; Rahmaniah Malik; Andi Pawennari; Nurul Chairany
Journal of Industrial Engineering Management Vol 7, No 1 (2022): Journal of Industrial Engineering and Management Vol 7 No 1
Publisher : Center for Study and Journal Management FTI UMI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33536/jiem.v7i1.1147

Abstract

CV. Macca Clothing is a company engaged in Clothing screen printing. The resulting product is a short sleeve t-shirt screen printing. In producing the production, on average per month there are defective products of 6% types of defects, namely blurred colors, wrong colors, and wrong screen printing. Therefore, this study aims to providelevels sigma and DPMOand then analyze the factors causing disability and provide suggestions for improvements to reduce defective products at CVMacca Clothing. The data collection method used is to conduct interviews with CV.Macca Clothing. Then in analyzing the data using the method DMAIC and theapproach six sigma.From the research results, thevalue DPMO is 21,000 and the conversion result is 3.53, which means that out of a million opportunities there will be 3.53 possibilities for the production process to produce defective products. in thelevel stage  sigma CV.Macca Clothing has not yet reached thelevel Six Sigma, but it is still in the average industrial condition because in the production process there are still product defects that have not reached zero defect. The factors that cause defects in the product are the operator is not careful in doing the work, the quality of raw materials is not good, the cleanliness of the equipment is not maintained, and the production room facilities are inadequate. From the results of the analysis based on the implementation tools kaizen , the control and improvement to reduce defects that must be carried out by CV.Macca Clothing is to carry out stricter supervision or control, carry out regular machine maintenance, and provide complete facilities. 
To Optimization Of Chicken Feed Production Using Goal Programming Method At PT. Japfa Comfeed Indonesia Tbk. Unit Makassar Hanin Fitria; Dwijayanti Hasti Widyaningrum; Rahmaniah Malik; Nur Ihwan Safutra; Yan Herdianzah
Journal of Industrial System Engineering and Management Vol. 1 No. 1 (2022): Journal of Industrial System Engineering and Management (Edisi March - )
Publisher : PT. SAFARI AMALIA

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (428.576 KB) | DOI: 10.56882/jisem.v1i1.3

Abstract

PT Japfa Comfeed Indonesia Tbk is one of the largest and most integrated agri-food companies in Indonesia. The company's main business units are the manufacture of animal feed, chicken breeding, poultry processing, and agricultural cultivation. This company will automatically continue to increase its production results both in terms of quantity and in terms of quality to be able to compete in the market so that it can expand market share and offer products at affordable costs for consumers. At present, business progress is strongly influenced by fluctuations and variations in consumer demand. This also has an impact on the production of chicken feed carried out by PT Japfa Comfeed Indonesia Tbk Makassar unit. With the increasing demand for chicken feed, an effort is needed so that the production process runs according to available and profitable resources. This research aims to determine the optimal amount of production to generate optimal company profits. The method used in this study is the goal programming method because it can solve problems optimally with more than one goal. The results of this research show that the product of goal programming optimization is more profitable than the companies. The results obtained from this research are the optimal number of products is 4,967,155 kg, and the minimum production cost is Rp. 1,382,685,942,075, and the sales profit is Rp. 314,569,267,925 for a period of one year.
Analysis of the Effect of Temperature, Lighting and Noise on Employee Work Productivity in the Noodle Production Section at CV. Kartika Makassar Yan Herdianzah; A Dwi Wahyuni P; Rahmaniah Malik; Muhammad Aqsan Pratama
Journal of Industrial System Engineering and Management Vol. 2 No. 1 (2023): Journal of Industrial System Engineering and Management (Edisi March)
Publisher : PT. SAFARI AMALIA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56882/jisem.v2i1.17

Abstract

A comfortable work environment is needed by humans to be able to carry out activities optimally and productively. Therefore the work environment must be handled and designed properly. A good temperature in the workplace will support the activities carried out by workers by meeting predetermined standards.. The objectives to be achieved in this study are to find out how much influence temperature / temperature, noise and lighting in the work environment have on employee work productivity in the noodle production section at CV. Kartika Makasar. This research will be conducted at CV. Kartika Makassar, which is located at Jalan Setia 1 Blok AB No. 4 Ex. Buntusu Kec. Tamalanrea Makassar City, South Sulawesi Province. In the analytical method where data processing uses the Classical Assumption Test in the form of a Linear Regression Test which is used to determine the direction and how much influence the independent variables have on the dependent variable. Based on the results of the analysis and discussion, it shows that in the physical work environment, namely temperature (X1) with a value of 0.560 > 0.05 and lighting (X2) 0.516 > 0.05 indicates that the hypothesis is rejected. Thus the temperature and lighting at CV Kartika Makassar are good because together they do not affect the work productivity of employees or operators. As for Noise (X3) 0.034 <0.05, indicating that the hypothesis is accepted thus it has a significant effect on the work productivity of employees or operators.
SCHEDULING MAINTENANCE PROPOSAL FOR TURBINE MACHINES USING THE AGE REPLACEMENT METHOD AT BALAMBANO HYDROELECTRIC POWER PLANT PT. Vale Indonesia Tbk. Rahmaniah Malik; Nurhayati Rauf; Takdir Alisyahbana; Arfandi Ahmad; Asrul Fole
Journal of Industrial Engineering Management Vol 9, No 1 (2024): Journal of Industrial Engineering and Management Vol 9 No 1
Publisher : Center for Study and Journal Management FTI UMI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33536/jiem.v9i1.1841

Abstract

PT. Vale Indonesia Tbk. is a company engaged in the mining industry, particularly in nickel processing (Ni). The company operates a power plant at Balambano Hydroelectric Power Plant (2x68.5 MW). The company's usual maintenance practice is limited to corrective maintenance, which involves replacing or repairing components only when they are damaged. The aim of this research is to determine the optimal replacement time for preventive maintenance on turbine machines in order to minimize downtime. The age replacement method is used to calculate the replacement interval for components based on their usage life. The research findings show that the mean time to failure (MTTF) of the wicket gate is 2217.824 hours or 92.41 days, which means that the component may experience failure again after operating for that MTTF duration. Therefore, the recommendation is to replace the component every 85 days of operation and perform inspections every 15 days.
DISTRIBUTION ROUTE ANALYSIS WITH SAVING MATRIX METHOD IN DETERMINING HOT MIX ASPHALT (HMA) DISTRIBUTORS Muhammad Fachry Hafid; Muhammad Dahlan; Nurhayati Rauf; Takdir Alisyahbana; Rahmaniah Malik
Journal of Industrial Engineering Management Vol 8, No 3 (2023): Journal of Industrial Engineering and Management Vol 8 No 3
Publisher : Center for Study and Journal Management FTI UMI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33536/jiem.v8i3.1370

Abstract

The Gorontalo Regency Public Works Department is responsible for a road construction program, in this case, the Public Works Department will conduct project auctions from several existing road projects and there will be one contractor company that will get an auction, where the contractor will produce asphalt in one of the Asphalt companies. Mixing Plant (AMP). The asphalt distribution process of course has routes and distribution costs where this needs to be optimized to get efficient planning in the distribution process, in the project data of the Public Works Department in 2022 there are five road projects and in the Gorontalo Regency area there are five (5) Asphalt Mixing Plants ( AMPs). Distribution is one part of the activities of Supply Chain Management which distributes goods and services from producers to consumers. The idealism of distribution is to distribute or deliver the right amount and type of product at the right time and place at the lowest possible cost to generate maximum profit. The Vehicle Routing Problem (VRP) is related to determining the route for the problem of distributing goods or products involving more than one vehicle with a certain capacity to serve some customers with their respective requests. The results of this study found that the determination of the distribution route of hot mix asphalt with the saving matrix method found that, the Otopade-Liyoto Project (F1) with 1,639 Ton Asphalt Demand, the selected asphalt distributor was (F0-E) PT.PETRA with a distance of 14.4 Kilometers with a total cost of Rp42,508,800. Project (F2) road project Construction of the Buhu - Iloponu Perintis road with an asphalt demand of 609 tons, the selected asphalt distributor is (F0A) PT. Cahaya Nusa Sulutarindo with a distance of 9.6 Kilometers with a Total Cost of Rp 11,712,000. Project (F3) Pilomonu – Pasir Putih road with 763 Ton Asphalt Demand, the selected asphalt distributor is (F0-E) PT.PETRA with a distance of 38.1 Kilometers with a total cost of Rp52,806,600. Project (F4) of Molohu – Langge road with 656 Tons of Asphalt Demand, the selected asphalt distributor is (F0-E) PT.PETRA with a distance of 42.4 kilometers with a total cost of Rp 50,371,200. For the project (F5) of the Helume Bihe - Sukamaju road with an asphalt demand of 1,564 Tons, the selected asphalt distributor is (F0-E) PT.PETRA with a distance of 32.6 Kilometers with a total cost of Rp 92,127,600. Keywords: Distribution, Supply Chain Management, Vihicle Routing Problem, Asphalt Mixing Plant, Hot Mix Asphalt, Direct Shipment, Routes, Cost
Co-Authors A Dwi Wahyuni P A. Sriani Bulqis Abd Mail Ahmad Padhil Alisyahbana, Takdir Andi Pawennari Anis Saleh Arfandi Ahmad Asrul Fole Dirgahayu Lantara Dwijayanti Hasti Widyaningrum Hanin Fitria Muhammad Aqsan Pratama Muhammad Dahlan Muhammad Dahlan Muhammad Fachry Hafid Nur Ihwan Safutra Nur Ihwan Saputra Nurhayati Rauf Nurul Chairany Takdir Alisyahbana Taufik Nur Yan Herdianzah