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Hartati, Misra
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Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Mathematics Mechanical Engineering Social Sciences

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PEMANFAATAN AMPAS KELAPA PADA PROSES PRODUKSI VCO DALAM UPAYA PENINGKATAN PRODUKTIVITAS Anwardi, Anwardi; Hartati, Misra; Brillian Kharisma, Oktaf; Adrian, Andes; Fitri, Khairunnisa
JE (Journal of Empowerment) Vol 4, No 2 (2023): DESEMBER
Publisher : Universitas Suryakancana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35194/je.v4i2.3809

Abstract

ABSTRAK Usaha Komunitas Nyiur Terpadu bergerak pada bidang memproduksi Virgin Coconut Oil (VCO). Proses produksi VCO pada IKM ini sebagian telah menggunakan mesin, namun belum mampu memberikan dampak signifikan terhadap jumlah hasil produksi VCO, sehingga kurang maksimal dalam memenuhi kebutuhan pelanggannya. Penelitian ini bertujauan untuk melakukan eksplorasi ampas kelapa dalam proses produksi VCO sebagai upaya efisiensi waktu proses produksi. Metode penelitian yang digunakan adalah ergonomi partisipatori yang melibatkan stakeholder secara penuh dalam pemanfaatan ampas kelapa sebagai bahan proses proses produksi VCO dengan harapan mampu meningkatkan hasil produksi VCO secara signifikan. Hasil penelitian ini menunjukkan bahwa pemanfaatan ampas kelapa pada proses pemisahan larutan santan menjadi VCO mampu meningkatkan efisiensi waktu sebesar 2 jam. Hasil ini berpotensi untuk menigkatkan produksi VCO pada Usaha Komunitas Nyiur Terpadu dengan memanfaatkan ampas kelapa sebagai solusi yang ramah lingkungan dan berkelanjutan. ABSTRACTNyiur Integrated Community Business is engaged in producing Virgin Coconut Oil (VCO). The VCO production process in this SME has partly used machines but has not been able to have a significant impact on the amount of VCO production, so it is not optimal in meeting the needs of its customers. This research aims to explore coconut dregs in the VCO production process to improve the efficiency of the production process. The research method used is participatory ergonomics which fully involves stakeholders in the utilization of coconut pulp as a material for the VCO production process with the hope of significantly increasing VCO production. The results of this study show that the utilization of coconut pulp in the process of separating coconut milk solution into VCO can increase time efficiency by 2 hours. This result has the potential to increase VCO production in the Integrated Nyiur Community Business by utilizing coconut pulp as an environmentally friendly and sustainable solution.
Analisa Risiko Pendistribusian Kelapa Sawit Pada CV Afri Group Menggunakan Metode FMEA dan FTA Afif, Muhammad; Hartati, Misra; Umam, Muhammad Isnaini Hadiyul; Yola, Melfa; Suherman, Suherman
Jurnal Teknik Industri Terintegrasi (JUTIN) Vol. 6 No. 3 (2023): July 2023
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jutin.v6i3.16042

Abstract

CV Afri Group is one of the middlemen (agents) buying and selling palm oil in Kunto Darussalam, Rokan Hulu Regency, Riau. this company is engaged in distributing palm oil to PKS, the palm oil distribution process does not always run smoothly there are risks that often occur in distribution. The risks that arise cause the distribution is not optimal. Risk management is needed to identify and detect problems in the distribution process. The FMEA method is a method used to identify the distribution process. Based on the FMEA method, there are 6 potential failures and 33 risk sub-indicators from the distribution process, such as Farmer Relations with the highest RPN value of 266.2, and based on the RPN value, 4 critical risks are obtained which will be analyzed by FTA to find roots. of existing problems
Analysis of Haura Mart's Marketing Strategy Using the Marketing Mix Method and the SOAR in Dealing with the Competition Sekar, Intan Ayu; Umam, Muhammad Isnaini Hadiyul; Lubis, Fitriani Surayya; Yola, Melfa; Hartati, Misra
IJIEM - Indonesian Journal of Industrial Engineering and Management Vol 6, No 3: October 2025
Publisher : Program Pascasarjana Magister Teknik Industri Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/ijiem.v6i3.31592

Abstract

This research to analyze the marketing strategy of Haura Mart supermarket in facing competition, namely by using the Marketing Mix (7P) method and the SOAR (Strengths, Opportunities, Aspirations, and Results) if you want to increase sales. Marketing Mix consists of Product, Price, Place, Promotion, Physical Evidence, People, and Process which are used to identify the most dominant factors in marketing objectives. while the SOAR method is the result of the analysis of the most dominant or influential factors of the marketing mix strategy (7P). The results of this study found that the most influential on the Marketing Mix method was  from the results of the t-test, it was found that the factors that influenced sales volume were place with a t-value of 2.784, promotion with a t-value of 2.902, people with a t-value of 2.630, and process with a t-value of 2.133. This is because t-value > t-table (1.986). And SOAR calculations with the result of the total IFE matrix score is 3.518 and the total EFE matrix score is 3.737.So that the SA method, OA method, SR approach, and OR method marketing mixare the most effective strategies to increase Haura Mart supermarket sales in facing competition.
Analysis of Burger Main Raw Material Inventory Control Using the Economic Order Quantity (EOQ) Method and the Just in Time (JIT) Method Rahmadini, Reny; Nurainun, Tengku; Hartati, Misra; Lubis, Fitriani Surayya; Nur, Muhammad
IJIEM - Indonesian Journal of Industrial Engineering and Management Vol 7, No 1: February 2026
Publisher : Program Pascasarjana Magister Teknik Industri Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/ijiem.v7i1.31502

Abstract

Burger Fandawa is an MSME in Pekanbaru that faces problems in managing the inventory of the main raw materials, namely bread, meat, and sauce. The main problem is the uncertainty of demand and inventory irregularities that cause shortages or excess stock, thus disrupting smooth production and cost efficiency. This study aims to analyze the main raw material inventory management method using the Economic Order Quantity (EOQ) and Just In Time (JIT) approaches to determine the most optimal method. The research method used is quantitative analysis based on demand data, ordering costs, storage costs, and lead time of the main raw materials during 2023. The results of the analysis show that the optimal purchase quantity according to EOQ is 236.505 packs of bread, 93.510 kg of meat, and 118.866 kg of sauce, with a total inventory cost of IDR. 2,763,809,416. Meanwhile, the JIT method results in a lower total inventory cost of IDR. 1,142,030,936, with a savings difference of IDR. 1,621,778.48. Based on these results, the JIT method is considered more optimal for managing raw material inventory at Burger Fandawa. The JIT method is more efficient in reducing inventory costs and increasing the effectiveness of managing the main raw material stocks.
Optimization of Blood Clam Supply Control Using the Artificial Neural Network (ANN) Method Suardi, Syafarudin; Hartati, Misra; Lubis, Fitriani Surayya; Nurainun, Tengku; Taslim, Rika
IJIEM - Indonesian Journal of Industrial Engineering and Management Vol 7, No 1: February 2026
Publisher : Program Pascasarjana Magister Teknik Industri Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/ijiem.v7i1.33669

Abstract

Mr. Badul MSME faces problems in managing blood clam inventory, namely excess and shortage of stock. To overcome this, research was conducted to design an inventory prediction system using the Artificial Neural Network (ANN) method with the Backpropagation algorithm. The ANN model used has an architecture with 10 input neurons, 10 hidden neurons, and 1 output neuron. The inventory data is normalized before the training process, then the results are denormalized to get the actual prediction. The developed model shows good performance with a very low Mean Squared Error (MSE) value of 2.7359e-06, as well as a correlation coefficient of 0.91478, which shows a strong relationship between predictions and actual data. The prediction results cover the period from January 2023 to December 2024. In January 2023, the inventory was predicted to be 96,050 kg, declining in February to 89,205 kg, and dropping sharply to 68,670 kg in March and April. Inventory increases again in May to August with fluctuations from 75,515 kg to 89,205 kg. A similar pattern occurs in 2024, starting with 96,050 kg in January, decreasing in March and April, then increasing again in the middle of the year, and decreasing again towards the end of the year, with the lowest inventory of 65,933 kg in November and December.
Analisis Pengendalian Persediaan Kertas pada PT. JKL Menggunakan Metode Algoritma Wagner Within Putri, Chitra Meisya; Nurainun, Tengku; Hartati, Misra; Nazaruddin, Nazaruddin; Nur, Muhammad
Industrika : Jurnal Ilmiah Teknik Industri Vol. 10 No. 2 (2026): Industrika: Jurnal Ilmiah Teknik Industri
Publisher : Fakultas Teknik Universitas Tulang Bawang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37090/qeskpr49

Abstract

The intense competition in the printing industry demands companies to improve efficiency, particularly in managing raw material inventories. PT. JKL faces challenges in controlling paper inventory, including excessive stock reaching up to 32,000 kg per year and inefficient ordering and shipping costs due to mismatches between order quantity and truck capacity. These issues lead to increased costs and the risk of stockouts or overstocking. The purpose of this study is to identify the most efficient quantity and schedule for paper ordering while keeping overall inventory costs low using the WWA (Wagner Within Algorithm) method. A quantitative approach is employed, involving demand forecasting, WWA calculation, safety stock, and reorder point analysis. The results indicate that implementing the WWA method can reduce the number of orders from 24 to 12 annually and achieve inventory cost savings of Rp 375,368,025. Additionally, the company can maintain a safety stock level 3,411 kg and a reorder point set of 13,204 kg. Thus, the WWA method is effective in addressing PT. JKL’s inventory control problems and can be adopted as a strategic tool for operational efficiency. Keywords: Demand Forecasting, Inventory Control, Inventory Cost, Wagner Within Algorithm
Co-Authors Adrian, Andes Alfahrizi, Salman Amanda, Suci Anwardi anwardi, anwardi Aura Irsyaf Putri Candra candra Dharma, Satrio Arya Dwi Arini, Jean Retno Fitri, Khairunnisa Fitriani, Wulan Hadiyul Umam, Isnaini Hadiyul Umam, M. Isnaini Hamdy, Muhammad Ihsan Handika, Puri Tri hanifah hanifah Harpito, Harpito Ihsan Hamdy, Muhammad Ismu Kusumanto Kharisma, Oktaf Brillian Lubis, Fitriani Surayya Lubis, Fitriani Surraya Melfa Yola, Melfa Muhammad Muhammad Afif Muhammad Nur N. Nazaruddin Nazarruddin, Nazarruddin Nofirza Nofirza Putri, Chitra Meisya Rahmadini, Reny Rambe, Ibnu Arbie Natama Rhamadi, Auliaderry Rika Taslim Sekar, Intan Ayu Siti Monalisa Suardi, Syafarudin Suherman, Suherman Tengku Nurainun Umam, Muhammad Isnaini Hadiyul Vera Devani Wilda, Yulia