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Raw Material Inventory Control on Probabilistic Demand and Lead Time Using Continuous Review System Ali Parkhan; Imam Djati Widodo; Erlangga Fausa; Qurtubi
Journal of Industrial Engineering and Halal Industries Vol. 4 No. 2 (2023): Vol. 4 No. 2 December (2023): Journal of Industrial Engineering and Halal Indus
Publisher : Industrial Engineering Department, Faculty of Science and Engineering, UIN Sunan Kalijaga Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14421/jiehis.4277

Excess inventory will lead to high inventory costs caused, among others, by damage and possible loss of stored goods embedded capital; on the other hand, a list is needed to ensure fulfillment of needs and reduce demand fluctuations and supply fluctuations to avoid loss of profit opportunities. This study aims to manage the uncertainty of usage and lead time in a wooden toy company, which can result in an excess or shortage of raw materials in the inventory system. It is necessary to control inventory to ensure optimal inventory; that is, needs can be met with minimal inventory costs and adequate service levels. The result, optimal condition is achieved if the company orders wood when the amount of inventory is (r) = 24,422 units with an order quantity of (Q) = 10,010 units each time you place an order, with a total inventory cost in 2023 of IDR 362,156,168, this policy will result in a service level (η) = 95.14%.

Identifying Improvement Strategic from User Application Reviews Group Using K-Means Clustering and TF-IDF Weighting Istiqomah, Khairunnisa Nurul; Widodo, Imam Djati; Mufid, Nisrina Faiza; Qurtubi, Qurtubi
International Journal of Artificial Intelligence Research Vol 7, No 2 (2023): December 2023
Publisher : STMIK Dharma Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29099/ijair.v7i2.1062

PT ABC is one of the companies that provide online ticket-purchasing facilities amidst the rise of the digitalization era. So, companies need to see how application users complain as a form of evaluation and improvement. The rating results given by application users show a score of 3.3 from 172,000 reviews. The review results that will be examined are user reviews from January 2022 to April 1, 2023, which is more or less the last year of user comments. This research aims to form a review group using K-Means Clustering, the Elbow method, TF-IDF weighting, and analysis of review improvement strategies. The Elbow method is used to determine the optimal number of clusters so as not just to use assumptions. The success of the Elbow method in processing categorical data can be supported by assigning weights based on word frequency sequences using TF-IDF. The research analysis results show the formation of 4 clusters, with two tending to have negative sentiment, one neutral sentiment, and one positive sentiment. Mapping is carried out on each cluster to find out the characteristics of each cluster and possible causes of reviews, as well as providing solutions and strategies as a form of improvement. The problem of negative reviews appearing in each review group is different. It can be corrected with the proposed strategies, such as improving the appearance of features at the registration, ordering, and payment stages, adding payment methods, and carrying out regular system maintenance.

The Identification and Elimination of Waste Activities in The Gray Yarn Processing Company Arifa, Dhinar Elma; Widodo, Imam Djati; Fausa, Erlangga
Journal of Industrial Engineering and Halal Industries Vol. 5 No. 2 (2024): Journal of Industrial Engineering and Halal Industries (JIEHIS)
Publisher : Industrial Engineering Department, Faculty of Science and Engineering, UIN Sunan Kalijaga Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14421/jiehis.4913

This study aims to identify the types of waste and recommend improvements to minimize waste that occurs in the gray yarn processing company. Value Stream Mapping (VSM) is used to analyze the flow of materials and information throughout the production process. The main objective is to identify and eliminate waste, thereby improving efficiency and productivity in manufacturing operations. The biggest types of waste in the grey yarn processing production process of the preparation department are Unnecessary motion and Overprocessing waste types at 30% each, Unnecessary Inventory at 20%, and transportation at 20%. The recommendations given can reduce the overall leadtime from 58967 seconds to 58771 seconds.

Analisis Pengendalian Risiko Keselamatan dan Kesehatan Kerja (K3) dengan Metode Failure Mode and Effect Analysis (FMEA) pada PT. ABC Saputra, Bisma Rahmad; Widodo, Imam Djati
JMPM (Jurnal Material dan Proses Manufaktur) Vol. 7 No. 2 (2023): Desember
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jmpm.v7i2.19405

PT. ABC is engaged in metal casting such as drinking water pipe connections and quality drainage components. Existing manufacturing processes involve direct interaction of workers with equipment in production situations that have sufficiently high safety risks. The research aims to identify the type or source of hazard, determine the value of high risk, and appropriate risk control measures. Using the Failure Mode and Effect Analysis (FMEA) method to identify failures from facilities, systems or equipment that have an impact on work accidents. The results of the study found 48 hazards with identifying the risk of work accidents with categories are very low (7), low (48), medium (17), high (10) and there is no risk of work accidents with very high categories. Work accidents that have a high risk in the metal casting process at PT. ABC is at the die-making, smelting and pouring, roughing, and finishing work stations. Potential risks to work safety include dust from mixing, being crushed by solid iron, exposed to sparks, exposed to molten liquids, electrocuted, and exposed to odors from paint. Risk control measures are proposed in the metal casting process at PT. ABC is carried out with engineering control and the use of PPE according to the source of danger.

Stochastic Queuing System Model Design Based on Stakeholder Aspirations Widodo, Imam Djati; Parkhan, Ali; Qurtubi, Qurtubi
Journal of Applied Data Sciences Vol 5, No 4: DECEMBER 2024
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/jads.v5i4.314

A good queuing system will provide satisfaction and trust for consumers and operational cost efficiency for service providers. This study aims to obtain the optimal number of service facilities by considering the aspirations of stakeholders, namely customers and service providers. Using aspiration theory, this research contributes to obtaining a dynamic solution to the number of service facilities with reference to service operating costs that can be determined with certainty and waiting costs that vary based on customer profiles. The study began by designing sampling for arrival time and service time data based on simple random sampling. The probability distributions of arrival time and service time are determined based on the data collection results of the sampling design. Based on the queuing profile and distribution of the two data, a suitable queuing model is built. Poisson distribution-based multi-channel queue model is constructed ((M/M/c):(GD/∞/∞)), and an optimization analysis is carried out on the number of service facilities provided by considering the aspirations of the two stakeholders. The results showed that based on stakeholder aspirations, optimal conditions were achieved at the number of servers c = 2 if the waiting cost (C2): IDR 0/hour≤ C2 ≤ IDR 11,076/hour, and the number of servers c = 3 if the waiting cost (C2): IDR 11,076/hour ≤ C2 ≤ IDR 120,690/hour. Given that there are two conditional alternatives, the company can decide subjectively to take preventive and adaptive actions proactively according to the customer's appreciation of the waiting time in the company. Flexibility in opening service facilities will require the availability of workers and facilities to be provided. Multi-skilled workers will significantly help the flexibility of the system being built. Future research certainly needs to conduct a more in-depth study related to monthly fluctuations in arrival and service times within that period.

Supply Chain Performance Measurement Model at PT. Metito Indonesia Based On Business Intelligence Power BI Hanistia Pahlavi, Banggas; Djati Widodo, Imam
Interdiciplinary Journal and Hummanity (INJURITY) Vol. 2 No. 12 (2023): INJURITY: Journal of Interdisciplinary Studies.
Publisher : Pusat Publikasi Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58631/injurity.v2i12.154

Supply chain is one of the important aspects in a company. An effective supply chain can help companies to increase efficiency, effectiveness, and profitability. The purpose of this research is to develop a supply chain performance measurement model at PT Metito Indonesia based on Power BI Business Intelligence. This research is a type of qualitative research that uses a descriptive approach. The data collection technique in this research was carried out by observation and literature study. This research was conducted at PT Metito Indonesia which is located at Jl. Ampera Raya No. 18A, East Cilandak, Kemang, South Jakarta. Data validity tests in this study include tests, credibility, transferability, dependability, and confirmability. The research results show that measuring supply chain performance at PT Metito Indonesia can increase its competitiveness by adopting strategies that are more adaptive and responsive to market changes. Using BI Power BI helps companies to be more proactive in making strategic decisions that have a direct impact on increasing competitiveness in the market, increasing operational efficiency, and strengthening the company's position in a competitive industry.

Intelligent optimisation for multi-objectives flexible manufacturing cells formation Purnomo, Muhammad Ridwan Andi; Widodo, Imam Djati; Zukhri, Zainudin
Jurnal Sistem dan Manajemen Industri Vol. 8 No. 1 (2024): June
Publisher : Universitas Serang Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30656/jsmi.v8i1.7974

The primary objective of conventional manufacturing cell formation typically uses grouping efficiency and efficacy measurement to reduce voids and exceptional parts. This objective frequently leads to extreme solutions, such as the persistently significant workload disparity among the manuÂfacturing cells. It will have a detrimental psychological impact on operators who work in each formed manufacturing cell. The complexity of the problem increases when there is a requirement to finish all parts before the midday break, at which point the formed manufacturing cells can proceed with the following production batch after the break. This research examines the formation of manufacturing cells using two widely recognized intelligent optimization techniques: genetic algorithm (G.A.) and particle swarm optimisation (PSO). The discussed manufacturing system has flexible machines, allowing each part to have multiple production routing options. The optimisation process involved addressing four simultaneous objectives: enhancing the efficiency and efficacy of the manufacturing cells, minimizing the deviation of manufacturing cells working time with the allocated working hours, which is prior to the midday break, and ensuring a balanced workload for the formed manufacturing cells. The optimisation results demonstrate that the G.A. outperforms the PSO method and is capable of providing manufacturing cell formation solutions with an efficiency level of 0.86, efficacy level as high as 0.64, achieving a minimum lateness of only 24 minutes from the completion target before midday break and a maximum difference in workload as low as 49 minutes.

ANALISIS POTENSI BAHAYA SEBAGAI UPAYA PENCEGAHAN TERJADINYA KECELAKAAN KERJA DI AREA CRUSHER MINING LIMESTONE P.10 DENGAN METODE HIRARC S. Wirayudha; Imam Djati Widodo; E. Fausa; A. Parkhan
Science and Technology (SciTech) The 3rd National Seminar and Proceedings Scitech 2024
Publisher : Science and Technology (SciTech)

Show Abstract | Download Original | Original Source | Check in Google Scholar

Fokus penelitian ini adalah pemetaan nilai risiko dan dan pengendalian bahaya dari aktivitas para pekerja terutama di area produksiÂ khusussnya pada Loading & Hauling untuk mesin Crusher Mining P.10 Limestone. Penelitian dilakukan dengan metode Hazard Identification, Risk Assessment, and Risk Control (HIRARC). Adapun proses penelitian dimulai dengan mengidentifikasi potensi resiko dan dilanjutkan dengan analisis resiko dengan menghitung skornya. Penelitian diakhiri dengan menentukan rekomendasi pencegahan terjadinya resiko. Hasil penelitian menunjukkan bahwa terdapat beberapa bahaya (hazard) antara lain debu material, kebisingan, jalan licin, kelistrikan, dan kemiringan medan. Rekomendasi mengatasi masalh tersenut adalah dengan rekayasa teknik terhadap mesin, administrasi, dan penggunaan Alat Perlindungan Diri (APD)

SIMPLIFIED SUPPLIER SELECTION CRITERIA IN SMALL AND MEDIUM ENTERPRISES: A FUZZY AHP APPROACH Harwati; Widodo, Imam Djati; Cahyo, Winda Nur
JEMIS (Journal of Engineering & Management in Industrial System) Vol. 13 No. 2 (2025)
Publisher : Industrial Engineering Department, Faculty of Engineering, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/

Many SMEs struggle when it comes to supplier selection due to the large number of criteria available. Because SMEs lack sufficient human resources and sufficient time, they cannot use complex supplier selection criteria and calculations. This research aims to create an efficient and straightforward supplier selection model. At the commencement, a literature review of 46 articles (2021-2022) generates 15 key suppliers selection criteria. The 80/20 Pareto principles state that delivery, price, quality, and service are the four main criteria. The Fuzzy Analytical Hierarchy Process is used to calculate the weighting of each criterion. According to the preferences of ten experts, the weights for price, delivery, quality, and service are 40%, 30%, 25% and 5% respectively. Ten supplier selection cases from literature are used to validate the process. This means that a simple model using the Fuzzy AHP approach will produce supplier rankings of identical supplier types which is 80% similar to the complex model of multi-criteria. This study contributes theoretically to the MCDM literature through a demonstration that reduced-criteria models can retain decision quality while increasing applicability. The model enables SMEs to easily make a reliable supplier selection choice.

Analisis Pengendalian Risiko Keselamatan dan Kesehatan Kerja (K3) dengan Metode Failure Mode and Effect Analysis (FMEA) pada PT. ABC Saputra, Bisma Rahmad; Widodo, Imam Djati
JMPM (Jurnal Material dan Proses Manufaktur) Vol. 7 No. 2 (2023): December
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jmpm.v7i2.19405

PT. ABC is engaged in metal casting such as drinking water pipe connections and quality drainage components. Existing manufacturing processes involve direct interaction of workers with equipment in production situations that have sufficiently high safety risks. The research aims to identify the type or source of hazard, determine the value of high risk, and appropriate risk control measures. Using the Failure Mode and Effect Analysis (FMEA) method to identify failures from facilities, systems or equipment that have an impact on work accidents. The results of the study found 48 hazards with identifying the risk of work accidents with categories are very low (7), low (48), medium (17), high (10) and there is no risk of work accidents with very high categories. Work accidents that have a high risk in the metal casting process at PT. ABC is at the die-making, smelting and pouring, roughing, and finishing work stations. Potential risks to work safety include dust from mixing, being crushed by solid iron, exposed to sparks, exposed to molten liquids, electrocuted, and exposed to odors from paint. Risk control measures are proposed in the metal casting process at PT. ABC is carried out with engineering control and the use of PPE according to the source of danger.

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