Computer and Science Industrial Engineering (COMASIE)

RANCANG BANGUN SISTEM INFORMASI KASIR PADA RUMAH MAKAN AMY KHAS MASAKAN MEDAN

2026-01-15T06:41:53+00:00

Pelaku usaha sering menghadapi kendala dalam pencatatan transaksi manual yang berdampak pada efisiensi operasional. Penelitian ini mengembangkan sistem informasi kasir untuk Rumah Makan Amy guna mengatasi permasalahan tersebut dengan mengutamakan peningkatan kecepatan pemrosesan dan pencatatan data. Metode pengembangan sistem yang digunakan adalah Software Development Life Cycle (SDLC) model Waterfall, yang memberikan struktur tahapan yang jelas mulai dari analisis kebutuhan hingga implementasi. Sistem dibangun dengan arsitektur web menggunakan Visual Studio Code sebagai IDE dan MySQL sebagai manajemen basis data. Fitur utama yang diimplementasikan meliputi pengelolaan menu, pencatatan otomatis transaksi pemesanan dalam bentuk riwayat digital, serta generasi laporan keuangan terintegrasi. Hasil penelitian menunjukkan bahwa sistem ini berhasil mentransformasi proses manual menjadi otomatis, memberikan solusi terhadap kendala pencatatan, dan meningkatkan efisiensi operasional rumah makan. Temuan ini sejalan dengan penelitian sebelumnya yang membuktikan bahwa sistem kasir berbasis teknologi dapat meningkatkan akurasi data, kecepatan layanan, dan kapasitas keuntungan usaha. Implementasi sistem ini tidak hanya menyelesaikan masalah akut pencatatan, tetapi juga membentuk fondasi digital untuk skalabilitas bisnis di masa depan.

RANCANG BANGUN SISTEM INFORMASI ADMINISTRASI GEREJA BETHEL INDONESIA BERBASIS WEB

2026-01-24T03:39:00+00:00

The administration of church operations at GBI Shalom Piayu has historically relied on manual record-keeping, resulting in inefficiencies, data inconsistencies, and limited operational oversight. This study presents the design and implementation of a Church Information System aimed at optimizing the management of congregation data, church activities, tithes, and offerings. Employing the Waterfall development methodology, the research integrates systematic phases of requirement analysis, system design, coding, testing, and deployment. The system features online member registration, dynamic activity management, reporting, all centralized within a relational database. Performance evaluation indicates significant enhancements in operational efficiency: login is completed in under one second, member data entry requires seconds, and updates are processed within two seconds. The system substantially reduces manual workload, mitigates errors, and accelerates access to critical information. Future research is recommended to expand functionality to comprehensive financial management, advanced activity scheduling, and multi-platform accessibility via desktop and mobile applications. This study contributes a foundational framework for the digital modernization of church administration, promoting efficiency, accuracy, and scalability.

ANALISIS PENGENDALIAN KUALITAS PROSES PHOSPHATING PADA PT CITRA TUBINDO TBK

2026-01-14T06:41:19+00:00

This study discusses quality control analysis in the phosphating process at PT Citra Tubindo
Tbk, a manufacturer of Oil Country Tubular Goods (OCTG). The problem identified was the
high rate of non-homogeneous defects in the phosphating process, reaching an average of
4.16% from January to August 2025, which exceeded the company's maximum standard of
2%. This research aims to identify the optimal process parameters to minimize defects and
improve process stability using the Taguchi Method. The experimental design used an L9
(3^3) Orthogonal Array involving three control factors: solution pH, immersion time, and
temperature. Based on the analysis of the Signal-to-Noise (S/N) Ratio and mean response,
it was found that the optimal combination of parameters to minimize defects is a solution pH
of 38, an immersion time of 10 minutes, and a temperature of 70°C. The implementation of
this optimal level combination is expected to reduce process variability and significantly
decrease the defect rate, thereby meeting the company's quality standards.

PERANCANGAN SISTEM PENGENDALIAN KUALITAS PROSES DI PT. VISTA MEGA JAYA

2026-01-15T06:33:20+00:00

PT Vista Mega Jaya, a company engaged in the fabrication of industrial, restaurant, and residential equipment, was identified as lacking quality control in the dome device table production process at PT Vista Mega Jaya. Based on the identified key issues, the objective of this study was to utilize the DMAIC method, one of the six sigma concept tools, to improve product quality by identifying the causes of product defects and developing proposed improvement plans. The DMAIC method can be used to reduce product defects occurring in the dome device table production process at PT Vista Mega Jaya. The results of the DMAIC study revealed that the average defect rate from January 2024 to December 2024 was 5.6%, with a sigma value of 2.4%, as the company aims for a defect rate of less than 3%. The largest number of defects occurred in the welding process. The lack of work process guidelines, disorganized workers, and inadequate maintenance led to a high number of defective products, necessitating rework. After implementing the improvement plan within four months, the dome device table production process achieved a sigma value of 3.57 out of 2.4.

ANALISIS PENGENDALIAN PRODUKSI DAN PERSEDIAAN PRODUK MIE PADA UKM MIE GAJAH MADA

2026-01-15T06:27:01+00:00

UKM Mie Gajah Mada is a small and medium enterprise located in Kavling Bintang, Batam. The company grapples with major production management challenges, as scheduling relies heavily on managerial intuition rather than data, often resulting in inventory depletion. To address this, the study employs Weighted Moving Average (WMA) and Double Exponential Smoothing (DES) to project product demand. The research aims to establish an optimal inventory control system by selecting the best forecasting technique and applying Economic Order Quantity (EOQ), Safety Stock, and Reorder Point (ROP) models. Findings reveal that the 5-period WMA is the most accurate approach according to MAD, MSE, and MAPE indicators. With demand forecasted to fluctuate between 12,815.3 and 2,598 units from April to July, these calculations offer a systematic guide for raw material procurement, helping the firm mitigate the risks of both excess inventory and stock shortages

PERANCANGAN FASILITAS PENYIMPANAN MATERIAL PADA PT BRINJUTAMASAMUDRA BATAM

2026-01-24T04:32:40+00:00

Industrial growth in Batam City has increased rapidly, ranging from small to large scale industries, creating high levels of productivity activity. Ideally, companies must plan proper storage systems to support smooth operations. However, PT Brinjutamasamudra Batam still faces problems related to inadequate storage of tools and materials, which causes delays in work completion, difficulties for employees in accessing equipment, and potential safety risks. The company, located in Batu Aji, specializes in metal fabrication services with a primary focus on stainless steel materials. This research aims to design ergonomic storage facilities for tools and materials that match available space and storage capacity requirements. The study applies Quality Function Deployment and anthropometric approaches with 20 respondents from the turning and welding departments. Data were collected through questionnaires distributed to employees. The results produce a storage cabinet design adjusted to workers’ body characteristics using defined ergonomic parameters. The study concludes that well-organized storage cabinets, designed according to usage frequency, worker needs, and material capacity, are essential to optimize space utilization, improve efficiency, reduce work delays, and support safer and more effective industrial operations. These improvements ultimately enhance employee comfort, productivity, coordination, workflow consistency, equipment protection, and overall operational performance within the manufacturing environment

ANALISIS PERBAIKAN PROSES PRODUKSI PADA UKM TAHU RONGGOLAWE

2026-01-20T13:07:12+00:00

Small and Medium Enterprises (SMEs) play a strategic role in the national economy, especially in the food sector such as tofu production. Many food SMEs still face quality issues due to unstandardized production processes, limited sanitation, and weak quality control. This study analyzes and proposes improvements for the tofu production process at UKM Tahu Ronggolawe, Batam City, to enhance product quality and efficiency. Methods include Six Sigma, Good Manufacturing Practices (GMP), and Work Improvement in Small Enterprises (WISE). Data were collected through observation, interviews, and documentation of production and defect data from January to June 2025. Six Sigma analysis shows an average DPMO of 37,864 and an average sigma level of 3.28, indicating moderate process capability with notable defect opportunities. GMP evaluation reveals sanitation, worker hygiene, equipment, production environment, and documentation mostly fall into less compliant or non-compliant categories. WISE assessment indicates work systems, production layout, machine safety, welfare facilities, and organization are poorly structured and lack written SOPs. Proposed improvements include sanitation SOPs, routine employee work rules, better hygiene practices, and gradual optimization of production layout and environment. Integrating Six Sigma, GMP, and WISE is expected to reduce defects, improve product consistency, and achieve a more efficient, hygienic, and sustainable tofu production process.

PERANCANGAN FASILITAS PRODUKSI TAHU YANG ERGONOMIS PADA IKM TAHU PAK SARNO

2026-01-24T01:48:30+00:00

Pak Sarno Tofu Factory is a small and medium enterprise (SME) in Batam City that still
applies a semi-manual work system, particularly in the tofu whey sedimentation process.
The manual scooping and handling of tofu whey using ladles and buckets potentially cause
musculoskeletal complaints and reduce work efficiency. This study aims to identify the level
of Musculoskeletal Disorders (MSDs) using the Nordic Body Map (NBM), analyze work
posture risk using the Rapid Entire Body Assessment (REBA) method, and design an
ergonomic work facility using the Ergonomic Function Deployment (EFD) method. The
results indicate that workers experience musculoskeletal complaints in the neck, shoulders,
lower back, waist, arms, wrists, and lower limbs, with the highest complaint level occurring
in activities classified as high risk. REBA analysis shows that ergonomic risk levels range
from moderate to high, with the highest REBA score of 9 occurring during the activity of
carrying buckets filled with tofu whey, which is classified as a high-risk activity. Based on the
EFD method, an ergonomic sedimentation tool was designed in the form of a 250-liter
stainless steel drum equipped with a faucet system, a roller-supported table, and dimensions
adjusted to workers’ anthropometry. This design is expected to reduce physical workload,
minimize MSDs complaints, and improve production efficiency.

PENERAPAN ALGORITMA K-MEANS UNTUK PENGELOMPOKAN PADA DATA SUPERMARKET MENGUNAKAN PEMOGRAMAN PYTHON

2026-01-24T01:52:22+00:00

The rapid growth of transactional data in the retail sector, particularly in supermarkets, has resulted in large and complex sales datasets that require effective analytical methods to identify meaningful sales patterns. This study applies data mining through clustering techniques by implementing the K-Means algorithm using Python to classify supermarket sales patterns and group transactions with similar characteristics. The research methodology includes data collection, preprocessing, normalization using StandardScaler, determination of the optimal number of clusters through the Elbow Method, clustering with the K-Means algorithm, and evaluation of clustering quality using the Silhouette Score, Davies–Bouldin Index, and Inertia (Within-Cluster Sum of Squares). The results indicate that from 1,000 sales transactions, three clusters were formed, consisting of 515 transactions in the low sales cluster, 314 in the medium sales cluster, and 171 in the high sales cluster. The clustering evaluation produced a Silhouette Score of 0.6055, a Davies–Bouldin Index of 0.502, and an Inertia value of 122.01, indicating that the resulting clusters are compact and well separated. These findings confirm that the K-Means algorithm is effective for grouping supermarket sales patterns and can support sales management and strategic planning.

ANALISIS PENENTUAN JUMLAH TENAGA KERJA BERDASARKAN BEBAN KERJA PADA IKM PENGRAJIN BANTAL ABC

2026-01-22T07:35:53+00:00

IKM pillow maker ABC is a business that produces various types of pillows, mattresses, and sofas using different fillings such as dacron, cotton, and foam. The pillow production station currently employs 6 workers: 1 worker for cotton grinding, feeding cotton into the machine, and packaging, 2 workers for filling cotton into the pillows, 2 workers for sewing, and 1 worker for final inspection. Based on observations, one of the main problems identified is that the demand level is significantly higher than the average daily production capacity. As a result, the current workforce is unable to complete production tasks on time, leading to delays in meeting customer orders. To address this issue, it is necessary to calculate the workload and determine the optimal number of workers required to achieve the production target. This study applies Workload Analysis and Workforce Analysis to determine the ideal workforce allocation. The results indicate that the optimal number of workers needed includes: 1 worker for cotton feeding and grinding, 10 workers for filling cotton into pillows, 11 workers for sewing, 3 workers for quality inspection, and 3 workers for packaging. By increasing the number of workers in these key areas, the company is expected to significantly improve its productivity and meet customer demand more effectively.

PERANCANGAN ULANG MEJA KERJA ERGONOMIS PADA KANTOR ADMINISTRASI DI PT MCDERMOTT BATAM

2026-01-14T06:26:12+00:00

Administrative employees at PT McDermott Indonesia perform prolonged computer-based tasks, which increases the risk of musculoskeletal disorders due to the use of a non-ergonomic workstation. The existing desk is too low, the monitor position is misaligned with eye level, and the working posture tends to be forward-bending, leading to significant physical discomfort. This study aims to redesign an ergonomic workstation by utilizing anthropometric data and assessing postural risk using the Nordic Body Map (NBM) and Rapid Upper Limb Assessment (RULA) methods. Data were collected through field observations, interviews, documentation, NBM questionnaires, postural angle measurements, and body dimension measurements. The NBM assessment shows that all administrative employees fall into the high-risk category, with scores ranging from 78 to 81. The RULA analysis yields a final score of 6, indicating that immediate corrective action is required. Based on the anthropometric data, an ergonomic desk design is proposed with dimensions tailored to the majority of users, including adjustable height and optimized monitor placement. The redesigned workstation is expected to reduce musculoskeletal risks, improve comfort, and enhance productivity among administrative employees at PT McDermott Indonesia.

RANCANG BANGUN APLIKASI EVALUASI KINERJA KARYAWAN BERBASIS WEB DENGAN SIMULASI DATA DAN PENDEKATAN FUZZY MCDM

2026-01-19T02:16:02+00:00

Employee performance evaluation is an essential activity in manufacturing industries to maintain productivity and product quality. Conventional evaluation methods are often subjective and less effective when performance assessment involves multiple criteria and uncertain data. This study aims to design and implement a web-based employee performance evaluation system using the Fuzzy Multi-Criteria Decision Making (Fuzzy MCDM) method. Employee performance is assessed based on two main criteria: work quantity, measured by production output against dynamic targets, and work quality, measured by the number of defective products. The Fuzzy MCDM approach is applied through fuzzification, weighting, aggregation, and defuzzification processes to produce objective and adaptive performance scores. The system is developed using PHP and MySQL for data processing, while HTML, CSS, JavaScript, and Chart.js are used for interface design and performance visualization. The results show that the system is able to calculate performance scores accurately and present evaluation results clearly through graphical representations. The proposed system can support effective performance monitoring and data-driven managerial decision-making in manufacturing environments.

ANALISIS PENGARUH LINGKUNGAN KERJA TERHADAP KELELAHAN KERJA BAGIAN WELDER DI PT KTU SHIPYARD TANJUNG RIAU

2026-01-24T01:47:58+00:00

Welding activities at PT KTU Shipyard Tanjung Riau are carried out in a work environment
with relatively high exposure to heat and noise, which may potentially cause work fatigue
among welders. This study aims to determine the working environment conditions in terms
of temperature and noise levels, analyze the level of work fatigue. The research method was
conducted through measurements of temperature and noise levels in the work area. The
results showed that the working area temperature obtained an average score of 33 with a
percentage of 66%, and the noise level obtained an average score of 31.6 with a percentage
of 63%, indicating that welders were exposed to heat and noise conditions. The level of work
fatigue was in the moderate category with an average score of 78.8 and a percentage of
53%. The results of multiple linear regression analysis showed that the working area
temperature did not have a significant effect on work fatigue with a significance value of
0.904 (> 0.05), while the noise level had a significant and positive effect on work fatigue with
a significance value of 0.0001 (< 0.05). Therefore, noise level is the dominant factor affecting
work fatigue among welders.

PERENCANAAN KAPASITAS PRODUKSI TAHU PADA IKM TAHU JK JAYA MAKMUR

2026-01-24T06:45:44+00:00

JK Jaya Makmur Tofu Factory is a local tofu producer that still applies a manual cutting process using knives and simple tools. This condition requires high accuracy and potentially causes variations in cutting results due to worker fatigue and differences in working styles, which in turn increase workload and limit production capacity. Based on data from October 2024 to September 2025, the monthly production target of 150,000–157,000 pieces was not achieved, with actual production reaching only 130,000–140,000 pieces per month and an average achievement rate of 88%. This study aims to determine production capacity requirements, compare required capacity with available capacity, and formulate solutions using the Rough Cut Capacity Planning (RCCP) method. The results show that the required production capacity averages 20,049.5 minutes per month and remains relatively stable throughout the planning period. Meanwhile, the available capacity averages only 9,424.8 minutes per month, indicating that production capacity is insufficient. Based on the calculations, there is a shortage of production capacity, which requires the addition of one worker at each workstation and an additional one working hour per day as a solution.

EKPLORASI DATA PENJUALAN DI OTOXPERT MENGGUNAKAN ALGORITMA APRIORI

2026-01-22T07:32:57+00:00

This study aims to explore sales transaction data of spare parts at OTOXPERT Batam using
the Apriori algorithm to identify association patterns among products. The main problem
addressed is that transaction data, although available in large quantities, has not been
optimally utilized to uncover relationships between spare parts, so the potential use of these
patterns to support cross-selling activities and stock management has not been fully
realized. The data used in this study were sales transactions from January 1 to March 31,
2025. The research method includes data preprocessing, transformation of transaction data
into basket form, descriptive analysis, and the application of the Apriori algorithm using
support, confidence, and lift parameters. The results show that the Apriori algorithm is able
to discover frequent itemsets and association rules that describe the tendency of spare
parts to be purchased together. These patterns provide meaningful information about
customer purchasing behavior and can be used as supporting information in decision
making related to sales strategies and inventory management. Therefore, this study
demonstrates that the Apriori algorithm is effective in transforming transaction data into
valuable information for business analysis at OTOXPERT Batam.

PERANCANGAN SISTEM PENGAMBILAN KEPUTUSAN STRATEGI PEMASARAN PADA E COMMERCE PT APS DENGAN MENGGUNAKAN AHP TOPSIS BERBASIS WEBSITE

2026-01-15T06:57:53+00:00

The rapid growth of e-commerce in Indonesia encourages companies to determine appropriate marketing strategies in order to remain competitive amid intense competition. PT Asia Pratama Solusi, a company that manages several e-commerce stores such as KS Computer, APS Comp, Ryzen Comp, and Timothy Acc, faces challenges in determining marketing strategy priorities for product categories, which are still subjective and not yet based on transaction data analysis. This study aims to design and develop a web-based decision support system for marketing strategy determination by applying the Analytical Hierarchy Process (AHP) and the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) methods. The AHP method is used to determine the weight of each promotional criterion based on its level of importance, while the TOPSIS method is applied to rank product categories according to their closeness to the ideal solution. The data used in this study are derived from PT Asia Pratama Solusi’s sales transaction data for the 2024–2025 period. The results indicate that the developed decision support system is able to provide more objective, systematic, and measurable recommendations for product category prioritization compared to previous decision-making methods that relied solely on managerial intuition. The system is developed as a web-based application equipped with features for transaction data management, criteria weighting, AHP–TOPSIS calculations, and recommendation result presentation. With the implementation of this system, the company is expected to determine more targeted marketing strategies, improve promotional effectiveness, and strengthen its competitiveness in the e-commerce industry.

EKSPLORASI DATA PENJUALAN DI PT ABP UNTUK MENGUNGKAP FAKTA-FAKTA SEGMENTASI KONSUMEN PROPERTI MENGGUNAKAN ALGORITMA K-MEANS CLUSTERING

2026-01-15T06:45:27+00:00

Housing sales data in property companies are commonly utilized only for administrative purposes, limiting their potential to generate strategic insights into consumer behavior and purchasing patterns. PT Adi Bintan Permata possesses a substantial volume of housing sales transaction data, yet this data has not been systematically analyzed to support data-driven marketing decisions. This study aims to identify consumer segmentation in the property sector at PT Adi Bintan Permata by applying the K-Means clustering algorithm. A quantitative descriptive research approach was employed using housing sales data from January 2022 to June 2025. The variables analyzed include housing selling price, housing unit type, and payment method. Data processing followed the Knowledge Discovery in Databases (KDD) framework, while the optimal number of clusters was determined using the Elbow Method and Silhouette Coefficient. The clustering process was conducted using RapidMiner and Google Colaboratory. The results reveal three distinct consumer clusters with different purchasing characteristics. These findings indicate that K-Means clustering is effective for property consumer segmentation and provides meaningful insights to support more targeted and effective marketing strategies.

IMPLEMENTASI FRAMEWORK DELONE DAN MCLEAN UNTUK MENGUKUR KEPUASAN DAN KEAMANAN PADA PENGGUNA APLIKASI M-BANKING

2026-01-20T06:22:57+00:00

The development of digital technology has transformed conventional banking services into application-based services, one of which is mobile banking. MyBCA Mobile is the latest application from Bank Central Asia that offers various modern features, but still faces user complaints regarding system stability, slow OTP (On-Time Transaction) requests, and login issues. This condition necessitates a more in-depth evaluation of user satisfaction and perceived security. This study uses the Information System Success Model framework from DeLone & McLean with the addition of a security dimension to measure system quality, information quality, service quality, user satisfaction, and perceived net benefits. The research method used is quantitative, through the distribution of questionnaires to MyBCA Mobile users. Data were analyzed using validity and reliability tests, and multiple linear regression analysis. The results show that system quality, service quality, and security have a significant effect on user satisfaction, while information quality and usage have no significant effect. User satisfaction has been shown to have a significant effect on net benefits. The conclusion of this study indicates that system stability, service quality, and security are the main factors in increasing satisfaction and perceived benefits of using MyBCA Mobile.

Studi Perbandingan Model Hybrid MobileNet-YOLO: Trade-off Akurasi dan Efisiensi Komputasi dalam Deteksi Objek

2026-01-15T07:06:30+00:00

Deploying object detection models on resource-constrained devices requires balancing high accuracy with computational efficiency. This research analyzes the performance trade-off of hybrid architectures combining MobileNet backbones (V2, V3-Small, and V3-Large) with YOLO detectors. The study employs an experimental method using the Pascal VOC dataset across four input resolutions ranging from 320 to 640 pixels to measure Mean Average Precision (mAP@50) and Frames Per Second (FPS). The results demonstrate a significant trade-off between precision and speed. MobileNetV3-Large at 640px achieves the highest accuracy of 58.5% mAP, making it suitable for precision-critical tasks. Conversely, MobileNetV3-Small at 320px proves to be the most efficient model, achieving 165.2 FPS on a GPU and maintaining real-time performance on a standard CPU at 30.4 FPS. These findings provide empirical guidance for selecting optimal hybrid architectures based on specific hardware constraints, proving that MobileNetV3-Small is the superior choice for low-power edge implementation.

PERANCANGAN ALAT BANTU ANGKAT HASIL PANEN BUAH NAGA YANG ERGONOMIS DI PERKEBUNAN DRAGON FRUIT FARM

2026-01-23T01:48:50+00:00

Manual transportation of harvested crops using conventional wheelbarrows poses a high ergonomic risk to workers due to non-ergonomic working postures. Awkward postures such as bending, shoulder elevation, and excessive load on the back and arms may lead to musculoskeletal disorders and reduced comfort and productivity. This study aims to analyze working posture risks during the crop transportation process, design an ergonomic trolley based on workers’ anthropometric data, and evaluate changes in risk levels before and after the trolley implementation. The research methods include Rapid Entire Body Assessment (REBA) to assess working postures, anthropometric measurements to determine trolley dimensions, and Ergonomic Function Deployment (EFD) to translate user requirements into design specifications. The results indicate that the initial working condition using a conventional wheelbarrow produced a REBA score of 12, classified as a very high ergonomic risk. After the implementation of the ergonomic trolley, the REBA score decreased to 1, indicating a very low risk level. In addition, the load capacity increased from 40–50 kg to 60–70 kg per transport cycle, thereby improving work efficiency. The study concludes that the ergonomic trolley effectively improves working posture, reduces ergonomic risk, and enhances comfort, safety, and work effectiveness.