HOME Metris: Jurnal Sains dan Teknologi is published 2 (twice) a year. Since Volume 14 in 2013, Metris: Jurnal Sains dan Teknologi has been published in June and December. The contents of the journal discuss research results in the field of industrial engineering. p-ISSN: 1411-3287 E-ISSN: 2808-4810 DOI : https://doi.org/10.25170/metris Editor in Chief Ronald Sukwadi (Orcid , Scopus , Google Scholar ) Email: jurnal.metris@atmajaya.ac.id The complete list of names of the Editorial Team can be seen at the following link [link to Editorial Team] Metris: Jurnal Sains dan Teknologi provides a place of publishing for researchers, academics, scientists, and practitioners in Industrial Engineering. The aims of this initiative are: to gather and distribute information regarding the latest advancements in industrial engineering and management. to cover the entire spectrum of engineering and management development, including the implementation of managerial policies and strategies. to promote additional advancements in engineering and management techniques and applications. Thus, innovative, excellent, theoretical, and application-focused research as well as general surveys, critical reviews, and case studies in industrial engineering and management are encouraged to be submitted to Metris: Jurnal Sains dan Teknologi. Main topics of interest but not limited to: Smart Production; Lean Manufacturing; Product Design & Development; Human Factors Engineering; Management Science and Operation Research; Logistics and Supply Chain Management; Decision Science in Business and Management; Quality Engineering. Metris: Jurnal Sains dan Teknologi Indexing by: GARUDA (Garba Rujukan Digital) https://garuda.kemdiktisaintek.go.id/journal/view/32268 Dimensions https://app.dimensions.ai/discover/publication?search_mode=content&or_facet_source_title=jour.1421618 Publisher: Published by Atma Jaya Catholic University of Indonesia Managed by Department of Industrial Engineering, Atma Jaya Catholic University of Indonesia Kampus 3 Cisauk, Jalan Raya Cisauk Lapan No. 70, Cisauk, Tangerang, Banten, 15345 Telp: 021-80827207 To submit a manuscript, the Author can first read the Author Guideline [link to Author Guideline]
Prodi Teknik Industri, Fakultas Teknik - Universitas Katolik Indonesia Atma Jaya
Analisis Efektivitas Mesin Injection Moulding pada Lantai Produksi Menggunakan Metode Overall Equipment Effectiveness (OEE)
The plastic manufacturing industry operating under a make-to-order system demands a high level of efficiency and effectiveness in the operation of production equipment to meet demand targets. Production processes that utilize injection molding machines with high utilization rates and a two-shift work system have the potential to generate various problems that can negatively affect production performance. Therefore, measuring machine effectiveness is necessary to identify factors contributing to performance deterioration. This study aims to measure the level of machine effectiveness using the Overall Equipment Effectiveness (OEE) method and to identify the dominant problems through Pareto diagram analysis. The research employs a quantitative approach, with data collection consisting of operating time, downtime, and production output. The results indicate that the OEE value is 69%, which is still below the industry standard of 80%. The primary issue influencing the low OEE value is the high frequency of idling and minor stoppages, which leads to significant losses in production time. Consequently, focused improvement efforts are required to enhance machine effectiveness and achieve sustainable improvements in production performance.
Copyright (c) 2026 Metris: Jurnal Sains dan Teknologi
Analisis Perbaikan Efektivitas Organisasi Berbasis McKinsey 7S Framework pada Department Business Process Innovation
This research was conducted in the Business Process Innovation (BPI) Department of PT XYZ, by assessing the effectiveness of the organizational structure and its role in supporting innovation performance. Key issues were identified, including suboptimal cross-functional coordination, inconsistent SOP compliance, and staff competency gaps in process analysis and innovation management. The McKinsey 7S Framework was used, supported by the Balanced Scorecard, RACI Analysis, and Competency Gap Analysis. The results indicate that organizational strategy and systems are scored; however, the innovation culture has not been uniformly implemented, and a largely directive leadership style tends to restrict collaboration. Proposed solutions include strengthening inter-unit coordination, developing project-based competencies, and adopting a more participative leadership approach. These improvements are expected to enhance organizational effectiveness and support sustainable innovation.
The Synergy of e-Procurement and e-Coupon Subsidies: An Innovation for Transparent Public Spending to Stimulate National Economic Circulation
The government is crucial in driving national economic growth through effective, transparent public spending strategies. This study examines two innovative approaches implemented by the government to strengthen public purchasing power and accelerate the circulation of money across various economic levels. First, implementing an electronic procurement system (e-procurement) ensures that goods and services are conducted openly, competitively, and accountably. This improves efficiency, reduces the risk of corruption, and maximizes the benefits of public spending for society. Second, the e-coupon-based consumption subsidy strategy directly incentivizes citizens, notably lower- and middle-income groups, to purchase essential goods or strategic services. This approach stimulates domestic consumption and revitalizes the retail and MSMEs sectors. Integrating e-procurement and e-coupons creates a dual effect: efficient public expenditure upstream and increased public consumption downstream. The analysis shows that this strategy enhances fiscal transparency, stimulates economic growth, and sustainably improves public welfare through widespread and equitable money circulation.
Risk Analysis of Operator Work Posture Using the Rapid Entire Body Assessment (REBA) Method in Industrial Machine Production Processes
In industrial manufacturing environments, non-ergonomic working postures are a major contributing factor to the development of musculoskeletal disorders (MSDs) among machine operators. In spare part production processes, operators are often required to maintain static and awkward postures for prolonged periods, which may increase biomechanical load on the body. This study aims to analyze the risk of operator working postures using the Rapid Entire Body Assessment (REBA) method in an industrial machine spare part production process. The research employed a descriptive observational approach conducted under actual working conditions without modifying existing work methods. Postural data were collected through direct observation and photographic documentation of operators at four main workstations, namely lathe, milling, cylindrical grinding, and surface grinding. Body segment angles, including the neck, trunk, legs, upper arms, lower arms, and wrists, were measured using the APECS application and evaluated using the REBA worksheet. The results indicate that operators at three out of four workstations exhibited forward-bending neck postures, resulting in relatively high neck angle deviations. All analyzed workstations were classified as having a medium level of MSD risk, with REBA scores ranging from 4 to 7. The milling workstation recorded the highest risk level with a REBA score of 7, primarily due to excessive trunk flexion, neck inclination, and prolonged static postures. These findings highlight the need for ergonomic improvements, such as adjusting machine height using platforms or height-adjustable bases, to enable operators to work in a more neutral posture and reduce musculoskeletal risk.
Integrated Production Planning for Shoulder Leader Pin at PT XYZ
Accurate production planning plays a critical role in balancing market demand and a company’s production capacity. PT XYZ, a manufacturing company producing industrial spare parts, faces production planning issues for its shoulder leader pin product due to the absence of a structured demand forecasting system. This study aims to develop an integrated production planning framework by applying demand forecasting, Master Production Schedule (MPS), Rough-Cut Capacity Planning (RCCP), and Material Requirement Planning (MRP). One year of historical demand data was analyzed using the Double Moving Average (DMA) and Double Exponential Smoothing (DES) methods of Brown. Forecasting accuracy was evaluated using Mean Absolute Percentage Error (MAPE), with the DMA method achieving a lower MAPE of 3.10%, indicating better accuracy than DES Brown. The selected forecasting results were used as input for the development of the MPS. RCCP analysis demonstrated that the available production capacity at all workstations was sufficient to meet the planned production requirements throughout the planning horizon, without requiring additional capacity. Furthermore, MRP was conducted to determine the quantity and timing of raw material procurement for SUJ2 steel with a one-period lead time. The MRP results indicate that material requirements can be fulfilled precisely in each period without excess inventory. Overall, the implementation of an integrated production planning system enables PT XYZ to improve planning accuracy, align production capacity with demand, and enhance operational efficiency.
Risk Analysis of Work Accidents Using HIRADC and JSA to Achieve Zero Accident in the Electricity Industry
Workplace accidents remain a serious problem across industrial sectors because they can lead to severe injuries, fatalities, and material losses. In Indonesia, workplace accident cases reached 356,383 as of October 2024, indicating the urgent need for more effective occupational safety risk control. This research identifies and analyzes occupational safety risks in the electricity industry, which is characterized by potential exposure to chemical, mechanical, ergonomic, and physical hazards. This research integrates Hazard Identification, Risk Assessment, and Determining Control (HIRADC) with Job Safety Analysis (JSA). HIRADC was used to identify, classify, and assess hazard levels across eight work areas, while JSA was applied to examine the most critical activity identified from the risk assessment results. Based on observations, interviews, and company reports in 2024, 498 findings were identified, of which 59% were negative findings caused by unsafe actions and unsafe conditions. The risk recapitulation showed that 76% of potential hazards were classified as high risk, 22% as moderate risk, and 2% as low risk. Area 2 recorded the highest average risk score of 9.20, while Area 4 had the largest number of hazards, with 10 findings and a maximum risk score of 12. Mechanical hazards were the most frequently identified hazard type, accounting for 18 findings, or 42.9% of the total hazards, whereas physical hazards had the highest average risk score of 8.90. The JSA results indicated that generator maintenance was the most critical activity because it involved multiple hazard types, including electrical, mechanical, physical, and chemical hazards. The proposed control measures were formulated based on the hierarchy of controls, particularly administrative controls and personal protective equipment. These findings suggest that integrating HIRADC and JSA can support electricity companies in identifying critical hazards, prioritizing preventive actions, and strengthening occupational safety management toward zero accident performance.
Pengembangan Strategi Bisnis pada UKM Pabrik Tahu melalui Pendekatan Business Model Canvas (Studi Kasus: UD Sumber Makmur)
UD Sumber Makmur, a small-scale tofu manufacturer in Bangkalan, currently faces significant business stagnation due to limited market reach. This study aims to formulate comprehensive business development strategies to solve this distribution limitation and address stiff competition. The research employs a qualitative descriptive method, with data collected directly through in-depth interviews and observations at the production site. The Business Model Canvas (BMC) is utilized to map the current business architecture. The resolution strategy involves integrating these tools to design a new business model that specifically targets market expansion. The results recommend actionable strategies, including expanding distribution channels to all areas Bangkalan, adopting digital marketing to reach broader consumer segments, diversifying into processed tofu products, and modernizing machinery to support increased demand. These measures are expected to resolve the limited market reach issue and ensure future business sustainability.
Pengembangan Strategi Bisnis pada CV. XYZ Menggunakan Pendekatan Business Model Canvas
The construction industry in Indonesia continues to grow but often faces inefficiencies in conventional construction methods. This study aims to analyze and develop a business strategy for CV. XYZ, a manufacturer of Rekabrick interlock bricks, using the Business Model Canvas (BMC) approach. The research methodology employed is descriptive qualitative and quantitative, with data obtained through direct observation and interviews with management regarding operational activities. The BMC mapping results indicate that CV. XYZ has a strong business foundation, particularly in its value proposition of project time and cost efficiency. However, this study formulates improvement strategies by expanding customer segments to include home improvement enthusiasts and interior designers, as well as optimizing digital channels through VR/AR preview features. The recommended strategies focus on market education and digitalization to expand market reach and ensure business sustainability amidst competitive industry pressure.
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Strategi Pengembangan Usaha Mikro Kecil Menengah (UMKM) V-Fie Bakery dengan Pendekatan Business Model Canvas (BMC)
UMKM V-Fie Bakery is a manufacturing business focused on producing cakes and bread. This study aims to develop the business and map the business model of V-Fie Bakery using the Business Model Canvas (BMC) approach. The research was conducted using a descriptive qualitative method through interviews with the business owner as the primary data source. UMKM V-Fie Bakery was selected because it faces various challenges in business management, making it important to analyze its business model comprehensively. The identification results show several issues across the nine BMC elements, including dependence on a single main supplier and limited partnerships (key partners), suboptimal digital promotion (key activities), limited production capacity and employee skills (key resources), product value that is not yet aligned with its price (value propositions), the absence of a customer loyalty system (customer relationship), a narrow market segment (customer segments), distribution channels that do not yet include delivery services (channels), relatively high operational costs (cost structure), and revenue streams that are not yet diversified (revenue streams). Through development analysis, improvements were proposed for all elements, including expanding partnerships with schools, offices, and delivery service providers; enhancing promotional activities and employee training; adding additional skills as key resources; providing bundling packages and seasonal promotions; implementing a membership card; expanding customer segments to include children; adding delivery order services; and diversifying income through hampers and snack box packages. Based on the overall results, UMKM V-Fie Bakery demonstrates strong growth potential if the recommended development strategies for each BMC element are implemented consistently.
Analisis Usability Commuter Line Vending Machine (C-VIM)
To improve the quality of its services, PT. KRL Commuter Line has implemented various innovations to enhance the commuter line experience. One such innovation is the introduction of ticket vending machines, known as Commuter Line Vending Machines (C-VIM), for ticket purchase transactions. Implementing a new system often encounters various challenges that hinder its smooth operation, including the C-VIM implementation. Therefore, this study aims to determine the usability level of C-VIM. The analysis is based on usability dimensions, which include efficiency, error, learnability, memorability, and satisfaction. The methods are using performance measurement techniques, retrospective think-aloud (RTA), the System Usability Scale (SUS) questionnaire, and the Questionnaire for User Interaction Satisfaction (QUIS). A minimum sample of 40 subjects was allocated to each category. Ascertaining the population size is not feasible, considering the volatile daily passenger count. The usability score based on the SUS questionnaire was 66,43. Testing the efficiency dimension revealed that C-VIM does not yet have a high level of efficiency. However, in terms of error, learnability, and memorability, the system performed well. Regarding satisfaction, the QUIS score obtained was 60.99, indicating that customer satisfaction is fairly satisfactory. The proposed remediation process involves rearranging the physical layout of the screen, the placement of tickets, cash receptacles, and several other attributes. Furthermore, improvements are required for the on-screen display of several pages which were assessed to have low usability based on respondent feedback following the usability measurement.
questionnaire for user interaction satisfaction (QUIS)
Faktor Penentu Pemilihan Aplikasi Navigasi di Kalangan Pengguna Kendaraan Bermotor Muda
With the development and growth of science and technology, various navigation applications are available to everyone, including motorcyclists. The main objective of this study is to provide several aspects that can influence young motorcyclists to choose their navigation application. Samples were taken from 100 motorcyclists aged 18-25 years in the BSD area. The main method used is factor analysis, using SPSS 2021 software as an analysis tool. By implementing KMO and Bartlett's test, the results have passed the validity and reliability tests. Based on the analysis of the size of the sample adequacy (MSA) and Bartlett's test, the anti-image matrix, the component matrix, and the rotated component matrix, there are three factors that can influence motorcyclists aged 18-25 years in the BSD area to choose their navigation application: the quality of navigation services, the features and benefits of the interface, and also the image of the application itself. These factors can be used for future research to analyze their influence on the selection or comparison of several navigation applications with a more specific scope. Furthermore, navigation application developers can consider these three factors to develop their businesses and remain competitive in the market.
Analisis Penerapan K3 di Laboratorium dengan Metode Failure Mode and Effect Analysis dan Fault Tree Analysis di PT Mutuagung Lestari
Occupational Health and Safety (OHS) is a critical component in high-risk laboratory environments. This study analyzes the implementation of safety measures in the laboratory of PT Mutuagung Lestari using Failure Mode and Effects Analysis (FMEA) and Fault Tree Analysis (FTA). Accident and incident data from the past year were examined to identify failure modes, root causes, effects, and risk levels. The FMEA results indicate that failure modes with the highest Risk Priority Numbers (RPN), such as gas leaks and electrical short circuits, require immediate corrective action. The FTA further reveals that equipment malfunction and human error are the primary contributors to laboratory accidents. Although several OHS protocols are currently in place, shortcomings remain in equipment maintenance and safety supervision. Recommended improvements include strengthening preventive maintenance, redesigning critical work areas, and enhancing safety training programs. The findings provide actionable insights for developing a more robust OHS management system and offer practical implications for reducing accident risks and improving laboratory operational reliability
Design and Analysis of Smart Laptop Table Production with an Ergonomic Approach and Minimalist Design
This study focuses on the design and development of a smart ergonomic laptop table with a modern and minimalist aesthetic to enhance user comfort and prevent musculoskeletal disorders during prolonged laptop use. Using the Stanford Design Thinking methodology, the research was conducted through six stages: empathize, define, ideate, prototype, test, and assessment. Data were collected from 26 respondents through surveys and interviews to identify key user needs, including adjustable height and tilt, integrated cooling pad, power socket, and portability. The prototype, constructed from Dutch teak wood and a hollow iron frame, was analyzed through stress, displacement, and strain simulations to ensure structural reliability and durability. The results demonstrated that the final design effectively supports ergonomic posture, reduces discomfort in the neck, back, shoulders, and wrists, and prevents repetitive strain injuries. Additionally, the product combines functional efficiency with an appealing minimalist appearance suitable for modern workspaces. The proposed design not only improves user well-being and productivity but also contributes to sustainable and space-efficient furniture innovation.
Application of Project Management Model with Theory of Constraints to Minimize Project Completion Time and Direct Labor Costs
Small and medium-scale manufacturing industries generally face difficulties in minimizing their operational costs. The company's Make-to-Order strategy causes fluctuations in the number of jobs received, so it minimizes fixed costs such as labor wages. This phenomenon occurs in rectifier panel manufacturing companies and various other companies. Companies minimize the number of permanent employees and recruit daily contract employees. Unfortunately, daily contract employees are recruited when orders are received (t=0) so that employees are still paid even though work is not yet available. This study attempts to determine the timing of recruiting daily contract employees that is adjusted to the scheduled work. The method used is a combination of project management with the theory of constraints. The study focuses on three things, namely: (1) Determining the number of workers based on the workload in each position. (2) Conducting project scheduling using the PDM (Precedence Diagram Method) project scheduling method. (3) Applying the Theory of Constraint (TOC) method at problematic workstations so that product flow is balanced. The results of the study show efficient performance, namely: the number of workers decreased from 24 people to 17 people, and the duration of the project decreased from 171 working days to 94 working days
Pengaruh Penggunaan Modifikasi Komponen pada Sistem Pengereman Motor Terhadap Behavior Pengendara Motor Berkapasitas Mesin 150-250 Cc
Vehicles are a means of mobility for society. However, the use of vehicles cannot be separated from the risk of accidents that may occur. In Indonesia, 133 million motorcycle accident cases were recorded in 2019. Accidents are influenced by many factors, one of which is brake failure. Brake failure itself is caused by overheating of the brake disc. Modifying the braking system is one of the measures taken to prevent overheating in the braking system. The application of braking system modifications on motorcycles may also influence rider behavior when on the road. In this study, an identification was carried out regarding the use of modifications to braking system components and their impact on motorcycle rider behavior, observed from several aspects: speeding, lane filtering, and panic braking. The identification was conducted using a questionnaire containing questions on the braking components modified by riders and their riding behavior related to such modifications. Based on the analysis of the data obtained, it was found that there were no significant differences in rider behavior across the three aspects—speeding, lane filtering, and panic braking—between different types of motorcycle braking system modifications.
Analisis Penggunaan Earbuds atau Earphone di Telinga Saat Berkendara Roda Dua
Using earphones or earbuds while driving positively and negatively impacts the driver. Congestion is a condition that causes motorists to use these hearing aids. However, the use of hearing aids while driving can threaten the safety of drivers and other drivers. The Bumi Serpong Damai (BSD) area is an area with many motorcyclists, so it can be a reference for motorists to pay attention to the dangers of using earphones while driving. Using earphones while driving, motorcyclists often do not focus on road conditions. Moreover, motorists can be indifferent to signs and other motorists. Therefore, a study was conducted on the use of hearing aids by two-wheeled riders in the BSD area to reveal the underlying problems associated with the use of hearing aids when driving. This study was conducted through the distribution of questionnaires and data processing using the chi-square test and logistic regression. This study aimed to determine motorcyclists’ level of awareness about the dangers of using earphones while driving. The result showed that a relationship exists between the frequency of use and driving comfort; the dominant factor affected by using hearing aids while driving is a reduction in emotions due to traffic jams. This study recommends that the government address traffic congestion due to its strong impact on driver emotions. For motorcyclists, it is advised to keep the earphone volume low to maintain focus on traffic signs and surrounding sounds.
Analisis dan Optimalisasi Proses Bisnis LPPM Universitas Swasta di Jakarta melalui Pendekatan IDEF0
The business process improvement at the Research and Community Services Center (LPPM), at a private university in Jakarta, was initiated due to unclear Standard Operating Procedures (SOPs) and the introduction of a new operational mechanism. The main objective of this research is to analyze and map the current business processes to clarify existing workflows. The IDEF0 method is used to identify and evaluate these processes, while the overall analysis follows Business Process Improvement (BPI) principles. The focus is on three core processes: proposal submission, fund disbursement, and reporting—each essential to research, community service, and publication activities. Improvements are proposed through the development of a revised SOP and the design of an online database system. These enhancements are based on interviews with key stakeholders, including the Head of the Center for System Development, LPPM officials, and staff. The use of the IDEF0 method significantly assists in identifying the roles and responsibilities of involved parties in each process. It provides a structured approach to evaluating and refining workflows. As a result, a new database system is being designed to support better data management and documentation at LPPM. This system will be built upon the improved processes identified through the IDEF0 analysis, ensuring more efficient and transparent operations.
Simulasi Perbaikan Sistem Antrian untuk Mengurangi Waktu Tunggu Pasien Poli Umum di Klinik XYZ Menggunakan ProModel
The long patient waiting time in general outpatient services has become a major problem at Clinic XYZ, particularly during the screening stage and doctor consultations at peak hours. This condition negatively affects patient satisfaction and service effectiveness. This study aims to identify the causes of prolonged waiting times, propose alternative improvements, and evaluate the effectiveness of solutions through simulation using ProModel software. The simulation model was developed to represent real conditions and test several improvement scenarios. The results show that nearly 50% of patients’ time in the system is spent waiting. Four improvement proposals were suggested, namely adding more doctors, redistributing nurses’ tasks, increasing screening capacity, and implementing a single-queue system. The best proposal, which applies consistently to both morning and afternoon sessions, is the addition of doctors. Based on the analysis, this solution proved to be the most effective, reducing total waiting time by 39.75% in the morning scenario and 33.74% in the afternoon scenario. This recommendation provides a strategic basis for improving service efficiency and patient satisfaction at Clinic XYZ.
Continuous Method: A Flexible Solution for Metal Length Expansion Measurement in the Modern Manufacturing Industry
Measurement of metal length expansion is crucial in the modern manufacturing industry as it impacts product design, production, and performance. Current conventional method (Discrete Methods/DM) relies on an initial reference length (L0), which limits the flexibility of in-situ and continuous measurements. This study compares the accuracy and flexibility of DM with the Continuous Method (CM), an approach that potentially eliminates the need for L0 after the initial measurement. Using numerical simulations on five metals, this study analyzes calculations for estimating metal length expansion under various heating scenarios. The results show that both methods provide similar differences in metal length thermal expansion values (difference <0.0001 m), confirming their comparative accuracy. However, CM proves significantly more flexible as it allows the calculation of metal length thermal expansion estimates at arbitrary temperatures without the need to refer to L0, unlike DM, which requires L0 for consistency. This flexibility makes CM more practical for both incremental and real-time measurements, supporting the integration of automation into precision manufacturing processes. Implications for the manufacturing industry include increased efficiency of in-situ measurements, reduced reliance on initial data, and the potential for better integration with continuous quality control systems and Digital Twins.
Strategi Peningkatan Traffic Media Sosial Instagram Sebagai Media Promosi Dengan Menggunakan Epic Model Dan Social Media Optimization (Studi Kasus : UKM Buketby.06)
This research aims to increase social media traffic on Instagram of Buketby.06 by applying the Social Media Optimization (SMO) and the EPIC (Empathy, Persuasion, Impact, Communication) model. Buketby.06, an MSME engaged in the production of flower bouquets, faces challenges in increasing social media reach and interaction which impacts sales. Using the EPIC model, promotional effectiveness is analyzed through four main dimensions: empathy, persuasion, impact, and communication. This research also utilizes the SMO method to optimize the content and visual strategy of the Buketby.06 Instagram account. The research results show that the persuasion dimension has the greatest influence on increasing social media traffic, with the highest average score of 3.72. Implementing SMO, including optimizing visual content, using relevant hashtags, and interactive captions, has significantly increased user engagement. Instagram insights before and after improvements show increased engagement (37%), including the number of likes, comments, and shares. The designed strategy not only increases Buketby.06's visibility but also strengthens brand identity through content that is interesting and in line with audience preferences. This research concludes that the combination of the EPIC and SMO models is an effective approach to overcoming social media traffic problems in MSMEs. It is hoped that consistent and data-based strategy implementation will provide long-term benefits for Buketby.06's business development.
Identification of Inconsistent Reviews and Ratings on Apps Using Sentiment Analysis: Case Study on Indonesian Digital Media Platform
Reviews and ratings on apps store show how users perceive an app. This is an important aspect that companies must pay attention to in order to plan improvement strategies. However, there is an inconsistency between reviews and ratings, which makes it difficult to take corrective action. Detikcom, one of the main players in the digital media industry in Indonesia, also faces this similar problem. On Google Play Store platform, it is known that Detikcom's 1-star rating (13%) is one of the highest compared to its competitors. However, the inconsistency between ratings and reviews can be found frequently in the review section. Reflecting on this case, this study focuses on building a model that can identify sentiment using the Naïve Bayes Classifier method and identifying the main driving factors of each sentiment category using K-means Clustering and word cloud. Based on the results of the developed model, the tendency of Detikcom user sentiment is generally positive (67.16%) with a test accuracy of 87.84%. The presence of positive sentiment is based on keywords such as “accurate”, “trusty”, and “up to date”, while negative sentiment is based on keyword “ads”.
Prioritas Perbaikan Aplikasi M-commerce dengan Importance Performance Matrix Analysis (IPMA)
The utilization of mobile commerce (m-commerce) applications is closely linked to the examination of consumer loyalty. A substantial body of research underscores the significance of m-commerce services and user acceptance in enhancing customer retention. This study aims to investigate the correlation between usability and user loyalty within m-commerce platforms by applying Importance-Performance Matrix Analysis (IPMA) to identify critical areas for improvement. The research sample comprised 149 users of m-commerce applications. Findings from the IPMA indicate that the key areas for enhancement in terms of (1) loyalty include users’ ability to exercise control, the simplicity of control mechanisms, and overall ease of use; while for (2) usability, the priority aspects for improvement are error notification features, accuracy, and completeness of the application’s functionalities
importance-performance matrix analysis (IPMA);
Perancangan Sistem Informasi Berbasis Web untuk Pengelolaan Pemesanan dan Produksi pada UMKM Konveksi CV. Florence Collection
The development of information technology has impacted current business behavior, affecting both users (customers) and business owners. Everyone is competing to maximize the use of information technology, whether to facilitate transactions or to improve business management efficiency. This situation is also experienced by CV. Florence Collection, a micro, small, and medium enterprise (MSME) operating in the garment industry, which faces several challenges in managing its business using a manual system. For instance, customer and transaction records are managed using Microsoft Excel, resulting in manually generated reports that are prone to recording errors. Additionally, customers have limited access to information during the ordering process, and payment verification by the business owner is not efficient. Based on these challenges, this study proposes the design of a web-based system for managing the operations of CV. Florence Collection. The system design follows the System Development Life Cycle (SDLC) method, consisting of four stages: planning, analysis, design, and implementation, using PHP as the programming language and MySQL as the database. The proposed system is tested using the blackbox testing method. The designed information system can be implemented by incurring implementation costs, such as hosting, domain, maintenance, and development expenses.
Usulan Perbaikan Kinerja Mesin Produksi Kulkas Dengan Metode Overall Equipment Effectiveness Dan Failure Mode And Effect Analysis (PT. XYZ)
PT XYZ is a company engaged in the household electronic equipment industry, one of which is refrigerator products. Two machines that are also responsible for the refrigerator production process are cold roll forming machines and PU injection machines. The refrigerator production process at PT XYZ is still considered ineffective because it does not reach the predetermined production target. The overall equipment effectiveness (OEE) method can assess the level of effectiveness of a machine based on three categories, namely availability, performance, and quality. Based on the results of calculating machine effectiveness using the OEE method, the two machines are below the ideal limit, namely 71.5% for the CRF machine and 57.22% for the injection machine, with a CRF machine performance value of 73.99% and 59.89% for the PU injection machine. An analysis of causes and solutions was carried out using the failure mode and effect analysis (FMEA) method using the risk priority number (RPN) assessment. The causes of low machine performance levels can provide solutions to improvements that must be made by the company. The recommended solution for the company is to apply preventive measures by adding UPS and generators to the factory, adding machine component damage detection sensors, and redesigning the jig.
Determinan Surplus (Defisit) Underwriting Dana Tabarru’ Pada Perusahaan Asuransi Umum Syariah Indonesia
This study aims to examine the effect of claims, reinsurance and investment returns on the tabarru' underwriting surplus (deficit) which is moderated by the proportion of tabbaru' funds. The approach used in this research is a quantitative approach. The sample used in this research is companies in the Islamic financial institution industry, especially general Islamic insurance companies that are registered with the Financial Services Authority (OJK) as of December 31, 2021, totaling 18 companies. Research data were analyzed using panel regression analysis techniques with the Eviews program 12.0. The results of this study indicate that claims have a significant effect on the underwriting surplus (deficit) of tabarru' funds, likewise the proportion of tabbaru' funds can moderate the effect of claims on the underwriting surplus (deficit) of tabarru' funds. The results of this study also prove that reinsurance and investment returns are not a factor that can partially affect the underwriting surplus (deficit) of tabarru' funds, but simultaneously, claims, reinsurance and investment returns and the moderating effect of the proportion of tabarru' funds can affect the surplus (deficit) underwriting tabarru' funds with a contribution of 17.19%.
underwriting surplus (deficit) of tabarru' funds
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Opportunities and Challenges of Embedding AI in SINTA: A Systematic Literature Review
The incorporation of Artificial Intelligence (AI) into Indonesia's Science and Technology Index (SINTA) offers both significant opportunities and challenges for advancing research management, evaluation, and development. This paper examines the advantages of embedding AI into SINTA, such as the ability to automate the identification of predatory journals, provide personalized research recommendations, and enhance the accuracy of institutional rankings. Furthermore, AI can help analyze citation trends, streamline the peer review process, and detect plagiarism or other forms of academic misconduct. However, this integration also brings several obstacles, including the need to ensure high-quality data, uphold transparency and fairness in AI-driven outcomes, protect data privacy, and address the substantial technological investments required. While AI holds the potential to greatly strengthen SINTA as a platform for overseeing and supporting research activities in Indonesia, overcoming these challenges is critical for its effective implementation. The study concludes that, with proper oversight and investment, integrating AI into SINTA could significantly boost the country's research ecosystem, fostering greater innovation and scientific productivity.
Pengurangan Risiko Musculoskeletal Disorder Melalui Perancangan Alat Bantu Meja Painting Menggunakan Metode REBA
PT.XYZ is an automotive company that produces various automotive components, one of which is the body reinforcement frame (Reinforce). The problem that arises occurs in the posture of workers who are not ergonomic in the painting process. This can lead to MSDs disease in the spine. The purpose of this research is to minimize the waste motion experienced by painting operators. The method used to minimize waste motion is Rapid Entire Body Assessment (REBA). From the results of this study obtained a REBA score of 7 which is classified as medium risk, to reduce the REBA score we propose designing a tool in the form of a painting table.
Optimasi Panjang Mainroll pada Industri Pulp & Paper untuk Kebutuhan Kertas HVS dengan Integer Programming
PT. XYZ is a company engaged in the production of paper and pulp. These are two products are interrelated because to produce paper, raw materials are neededin the form of pulp. And often the paper production in the factory is excessive. This study aims to determine the optimal mainroll length according to demand so that overproduction will be minimized. The approach used is Integer Programming with the Branch and Bound method, where previously obtained combinations of possible paper arrangements on the mainroll with a maximum length of 80 km and a the width of 8,5 m. based on the optimal calculation results for the December 2022 production period, the mainroll length produced is 139,23 km which produced 14.891 reams for A4 paper, 10.539 reams for F4 paper and 10.239 reams for Q4 paper. The excess production of each type of paper was 0.34 %, 0,02 % dan 1,82 %, respectively. While the total overproduction for all types of paper sizes was 0,67 %. Production results in December 2022, overproduction of A4, F4 and Q4 were 1,15 %, 3,26 % and 2,92 %, respectively. While the total overproduction for all types of paper sizes was 2,28 %. The standart deviation of the calculation of real conditions is 1,13%, meaning that the deviation of excess production in real conditions is greater.
Analisis Integrasi Metode Quality Risk Management dan Hoshin Kanri Sebagai Upaya Peningkatan Produktivitas
Quality is the level of the inherent character of a product. One of the company's efforts is to produce quality products that consumers want while still managing risks that can affect the quality of each product. But the company still finds products that do not meet standard specifications, Quality Risk Management is carried out to identify risks through brainstorming and analyzing, and determining what factors can cause product defects and managing risks using the House of Risk to reduce risks that occur, and 29 risk agents cause the product does not meet specifications and 14 preventive actions as mitigation measures. At Hoshin, Kanri produces efforts to achieve company goals by providing improvement suggestions, Targets to Improve-Top level Improvement-Annual Objectives-3-5year Breakthrough Objectives.
Usulan Peningkatan Kapasitas Produksi Bracket 78 Berdasarkan Waktu Siklus (PT XYZ)
PT XYZ is a manufacturing company engaged in producing dies and other components that go through the stamping part/press, welding, and fabrication processes. Currently, in carrying out production, the company has not been able to determine the target because there is no production capacity data, especially for the Bracket 78 component. The calculation of the bracket 78 product production capacity will use the Stopwatch Time Study to then produce the cycle time. The results of the measurement show a Bracket 78 product cycle time of 7.45 seconds. The cycle time will then be divided by the available time capacity. From this division, the Bracket 78 production capacity will be obtained at 3624 units per day. In this case, the company also wants to increase its production capacity to meet its long-term goal of becoming a Tier 1 supplier of PT Astra Honda Motor. Therefore, the improvement idea that can be given to the company to increase production capacity by utilizing the resources it has is to activate the machines and dies it has. Based on the calculation results, it can be proven that activating the machine at work station 2 can increase production capacity to 6102 units per day, or an increase of 68.37% compared to the production capacity before improvement.