Article Per Year (5 Year)
p-Index From 2021 - 2026
3.957
P-Index
This Author published in this journals
All Journal IAES International Journal of Artificial Intelligence (IJ-AI) OPERATION EXCELLENCE: Journal of Applied Industrial Engineering Jurnal Teknik Industri : Jurnal Hasil Penelitian dan Karya Ilmiah dalam Bidang Teknik Industri KACANEGARA Jurnal Pengabdian pada Masyarakat JKIE (Journal Knowledge Industrial Engineering) Pena Teknik : Jurnal Ilmiah Ilmu-ilmu Teknik Jurnal Tekno Jurnal Teknik Industri Terintegrasi (JUTIN) JISO : Journal of Industrial and Systems Optimization Jurnal AbdiMas Nusa Mandiri Indonesian Journal of Industrial Engineering & Management Jurnal Teknologi dan Manajemen Industri Terapan Jurnal Teknik Industri Jurnal Kesehatan Masyarakat
Sitania, Farida Djumiati
Unknown Affiliation
Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mathematics Mechanical Engineering Physics Public Health Social Sciences Transportation Other

Published : 27 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 27 Documents
Search

 1   2   3 
Analysis of Dump Truck Spare Parts Inventory Control Using the EOQ Lot Sizing Method at PT XYZ Alnadhif, Delvio Raditya; Sitania, Farida Djumiati; Wahyuda
Journal Knowledge Industrial Engineering (JKIE) Vol 12 No 2 (2025): JKIE (Journal Knowledge Industrial Engineering)
Publisher : Department of Industrial Engineering - Universitas Yudharta Pasuruan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35891/jkie.v12i2.6102

Abstract

PT XYZ operates in hauling, mining, and road maintenance. At one of its operational sites, the company only orders spare parts when stock runs out, leading to frequent orders, increased operational costs, and disruptions due to stock shortages. Effective inventory management is essential to ensuring sufficient stock availability while minimizing costs. This study focuses on optimizing spare parts inventory for Dongfeng dump trucks using the Economic Order Quantity (EOQ) method. EOQ determines the optimal order quantity by balancing ordering and holding costs, aiming to reduce total inventory expenses. Demand forecasting is conducted to support inventory optimization. The findings indicate that implementing EOQ significantly lowers total inventory costs compared to the company’s current approach. The EOQ model results in a total inventory cost reduction of 39.15%, saving IDR 10,514,286. The analysis highlights that ordering and holding costs play a crucial role in inventory expenses. These insights can serve as a reference for PT XYZ in developing more efficient inventory management policies to improve operational continuity and reduce the risk of downtime due to spare parts shortages.
Analysis of Raw Material Inventory Control in The Amplang Production Process (Case Study: UD Taufik Jaya Makmur) Mangkona, Fadhylah Anasia; Wahyuda, Wahyuda; Sitania, Farida Djumiati
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.v6i3.31071

Abstract

UD Taufik Jaya Makmur is an SME that produces amplang in various shapes and packaging sizes. Inventory control at this SME faces several issues, such as the lack of production scheduling, high inventory costs, and changes in raw material prices, especially for tapioca flour and fish. These problems impact the quality of service and provide opportunities for competitors to attract consumers. Therefore, a deterministic method is employed to achieve optimal inventory control, which includes methods such as Economic Order Quantity (EOQ), Period Order Quantity (POQ), Least Unit Cost (LUC), Least Total Cost (LTC), Economic Part Period ( EPP), Part Period Balancing (PPB), Silver Meal, and Wagner Within. Calculations indicate that the optimal inventory for tapioca flour, after considering the minimum purchase lot from suppliers and warehouse capacity, is achieved using the Economic Part Period (EPP), Part Period Balancing (PPB), and Wagner Within methods. The inventory cost for meeting the demand for the next year is IDR733.802, with savings reaching 72% compared to the business policy. For fish, the optimal inventory is achieved using the Period Order Quantity (POQ), Least Unit Cost (LUC), Least Total Cost (LTC), and Wagner Within methods. The inventory cost is IDR9.159.728, with savings reaching 37% compared to the business policy. Sensitivity analysis shows that inventory control for tapioca flour and fish is sensitive to ordering costs (distribution), necessitating recalculations if there are future changes.
Automated ergonomic sitting postures detection for office workstation using XGBoost method Pawitra, Theresia Amelia; Sitania, Farida Djumiati; Septiarini, Anindita; Hamdani, Hamdani
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 15, No 1: February 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijai.v15.i1.pp506-514

Abstract

Sedentary office work increases musculoskeletal risk, underscoring the need for non-intrusive, real-time posture monitoring. This study presents a computer vision approach that classifies ergonomic versus non-ergonomic sitting postures using upper body key points extracted by MoveNet thunder. Images from 30 participants were captured from frontal and side views, and labeled according to SNI 9011:2021 criteria. Seventeen key points were detected, with head-to-hip landmarks retained, then normalized and centered. Three classifiers—adaptive boosting (AdaBoost), extreme gradient boosting (XGBoost), and a multi-layer perceptron (MLP)—were trained and evaluated with 10-fold stratified cross-validation. XGBoost achieved the best performance, with accuracy 93.0%±1.9%, precision 94.6%, recall 91.4%, F1-score 92.9%, and area under the receiver operating characteristic curve (ROC-AUC) 0.974±0.010, outperforming MLP and AdaBoost. The method supports privacy-preserving, on-device inference and is suitable for integration into smart office systems to reduce exposure to high-risk postures. Limitations include controlled capture conditions and an upper body focus; future work will expand posture taxonomy and real-world deployment.
Distribution Truck Route Optimisation at UDMB Using The Clarke and Wright Savings and Cluster First Route Second Maulidina, Fayza; Sitania, Farida Djumiati; Wahyuda, Wahyuda
PENA TEKNIK: Jurnal Ilmiah Ilmu-Ilmu Teknik VOLUME 10 NUMBER 2 SEPTEMBER 2025
Publisher : Faculty of Engineering, Andi Djemma University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51557/mv15pp96

Abstract

UDMB is a distributor company of frozen food products in East Kalimantan and North Kalimantan. Time and distance are the biggest obstacles felt by companies in the distribution process. It is because the product must be at a minimum temperature of -18o Celsius so that the product remains in good condition. Meanwhile, the cooling machine on a distribution truck can only maximize working temperature for 6 hours. These travel time and distance problems have occurred more than 12 times a year in out-of-town distribution. Therefore, this research aims to produce an optimal distribution routes with consideration of the fastest time and shortest distance. This problem is solved using the Clarke and Wright Savings Method with the Head and Tail concept and the Cluster First Route Second Method with Sweep Algorithm and Nearest Neighbor. Then, the total distribution time and distance between the results of the two methods are compared. Based on the first results, the total trucks used are 3 units with a total distribution time of 847 minutes and a total distribution distance of 475.8 km. Based on the second results, the total trucks used are 3 units with a total distribution time of 875 minutes and a total distribution distance of 483.8 km. This shows that the Clarke and Wright Savings Method with the Head and Tail concept is the method that produces the most optimal route with the fastest total distribution time and shortest total distribution distance.   DOI: https://doi.org/10.51557/mv15pp96
Application of the Business Model Canvas in Determining Business Development Strategies at Kedai Kabur Bontang Wardana, Muhammad Harsa; Tosungku, La Ode Ahmad Safar; Sitania, Farida Djumiati
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.v7i1.26632

Abstract

Kedai Kabur is a shop that sells various kinds of porridge, such as chicken porridge, black sticky rice porridge as well as coffee and non-coffee drinks. Kedai Kabur has a problem, namely the lack of interest from customers who come to the shop. This research aims to find out the description of the Kedai Kabur business model when viewed from the Business Model Canvas aspects and to find out the Kedai Kabur Business Model Canvas strategy to be recommended based on the Business Model Canvas Transformation Design. In formulating strategies, researchers use a business model canvas which consists of nine blocks, namely, customer relationships, key partners, value proposition, customer segments, channels, revenue streams, key resources, key activities and cost structure. This research uses qualitative methods with analysis using the business model canvas and also using SWOT. Data collection techniques use observation, interviews and questionnaires. The results of this study show that Kedai Kabur has basically implemented the Business Model Canvas and strategies recommended with the Business Model Canvas model, namely by targeting customers who like porridge and customers among teenagers, serving customers kindly and taking a personal approach to consumers, making sales through Grabfood, and promoting more often.  
Determination of Optimal Cylinder Gas Packaging Distribution Routes Through the Solution of the Capacitated Vehicle Routing Problem at PT Samator Gas Industri Balikpapan Surianto, Vincent; Wahyuda, Wahyuda; Sitania, Farida Djumiati
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.v7i1.31786

Abstract

The distribution of industrial and medical gases in Indonesia faces significant supply chain challenges. In general, the distribution is not yet fully adequate to meet the continuously growing demand. Based on this industrial issues, the researcher conducted an observation of PT Samator Gas Industri Balikpapan distribution activities. The company has not maximized the truck load by only loading 60 to 80 cylinders per truck. The issue has resulted in fuel costs not being optimal. Another issue arises because the distribution routes is done subjectively without considering the best route to deliver products. In this research, the issue was addressed by solving the Capacitated Vehicle Routing Problem (CVRP) using the Clarke-Wright Saving Heuristic Algorithm and the Sweep Algoritm (cluster first, route second), combined with the Nearest Neighbor route sorting method. Based on the research results, the Clarke-Wright Saving Heuristic Algorithm successfully reduced the travel distance to 167.1 km and resulted in fuel cost savings of IDR402,051.67 (49.21%). Meanwhile, the route generated by the Sweep Algorithm also showed better results compared to the initial route. The Sweep Algorithm produced savings of IDR340,465.00 (41.67%). Although the results obtained were not better than those of the Clarke-Wright Saving Heuristic Algorithm, the Sweep Algorithm has the advantage of simplifying the grouping process of delivery points based on their geographical proximity, making the route more efficient even without complex calculation steps.
Maintenance Management Jacro 175 Drill Rig for Coal Exploration Work Using the Reliability Centered Maintenance (RCM) Method in PT Inti Bangun Mulya Jefli, Polii Renaldy; Sitania, Farida Djumiati
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.v7i1.30888

Abstract

PT. Inti Bangun Mulya was established in 2019 and is a company engaged in consulting and contracting services in the mining sector, including mapping, topography, mineral exploration, mineral modeling, mine design, mine economic evaluation, and resource and reserve calculation. This research aims to determine the critical components and to identify an effective and efficient maintenance schedule for the Jacro 175 Rig components. In determining critical components and creating a maintenance schedule, the researchers used Reliability Centered Maintenance (RCM) with the application of an appropriate and systematic maintenance system. This research uses a research method employing RCM and Failure Mode and Effect Analysis (FMEA). Data collection techniques include observation, interviews, and questionnaires. The initial steps taken by the author were to identify functions and failures, analyze system failures occurring in the Yanmar TF 105 machine, analyze critical level criteria, analyze FMEA, determine appropriate task selection, calculate the reliability value of critical components, and provide repair proposals in the form of an efficient maintenance schedule for critical components. The results of this study indicate that PT. Inti Bangun Mulya is known to implement a maintenance management system using a corrective maintenance system that is less effective and efficient for application to all components. Therefore, the author proposes an improvement in the form of a maintenance schedule for critical components.
Co-Authors Abdullah Azzam Alfarisi, Naufal Alnadhif, Delvio Raditya Anindita Septiarini, Anindita Ari Susandy Sanjaya, Ari Susandy Bara, Yogi Zefanya Batu Dedi Irawan dedi irawan Faisal, Donni Gunawan, Suwardi Hamdani Hamdani Jefli, Polii Renaldy Khiyarinnisa, Faza La Ode Ahmad Safar Tosungku, La Ode Ahmad Safar Lina Dianati Fathimahhayati, Lina Dianati Mahendra, Rahul Ihza Mangkona, Fadhylah Anasia Marhani Marhani Mas’ud, Mufid Maulidina, Fayza Mentaruk, Ayup Muhammad Wahyudi Putri, Icha Ayu Azzara Putrianti, Elsa Eka Rahmat Hidayat Ridwan, Syaiful M Riyadi, Aldi Wibawan Surianto, Vincent Surya, Berlian Octaviani Tarigan, Ian Gerson Theresia Amelia Pawitra Wahyuda Wahyuda, Wahyuda Wardana, Muhammad Harsa Widada, Dharma Wijaya, Muhammad Farhanuddin Wulandari, Intan Yudi Sukmono, Yudi