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Proceeding of The International Conference on Electrical Engineering and Informatics
Published by Asosiasi Riset Teknik Elektro Dan Informatika Indonesia
ISSN : -     EISSN : 30907039     DOI : 10.62951
Core Subject : Engineering,
Electrical & Electronics Engineering
Proceeding of the International Conference on Electrical Engineering and Informatics, Its a collection of papers or scientific articles that have been presented at the National Research Conference which is held regularly every two years by the Asosiasi Riset Teknik Elektro dan Informatika Indonesia.The paper topics published in the Proceeding of the International Conference on Electrical Engineering and Informatics the sub-groups of Electrical Engineering, Electronics Engineering, Electrical Power Engineering, Telecommunication Engineering, Computer Engineering, Information Systems, Information Technology and other relevant fields and published twice a year (January and July).
Arjuna Subject : Teknik (semua kategori) - Teknik (Lain-Lain)
Articles 30 Documents
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Analysis of Phonological Errors in Banners on Jalan Siliwangi Hana Nurhasanah; Meydita Hidayat; Ira Waridah; Ai Siti Nurja Milah
Proceeding of the International Conference on Electrical Engineering and Informatics Vol. 1 No. 2 (2024): July : Proceeding of the International Conference on Electrical Engineering and
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/iceei.v1i2.17

Abstract

Talking is an activity that cannot be separated from the interaction between people in daily life, starting from oral to written. In written language, there are many linguistic errors, both in terms of phonemes, morphemes, and word writing. This study aims to analyze and describe language errors in external media located on Siliwangi Street, Tasikmalaya. Qualitative descriptive is a method used in this study by grouping data, analyzing data, and drawing conclusions based on the results of the analysis. From this study, it was obtained that the phoneme replacement error was found in the replacement of the phoneme /ai/ with /e/, /u/ with /o/, and /r/ with /e/, the phoneme deletion error was found in the deletion of the phonemes /s/, /n/, and /k/, and the errors in the replacement and addition of phonemes were found in the replacement of the phoneme /o/ to /o/, the replacement of the phoneme /g/ with /k/ and the addition of the phoneme /e/.
Analysis Of Metallize Product Quality Control Using The Plan Do Check Action (PDCA) Methods at PT. Polyplex Films Indonesia Sartono Sartono; Dedy Khaerudin; Mislan Mislan; Ganjar Sidik Gandara; Irma Nurmala Dewi
Proceeding of the International Conference on Electrical Engineering and Informatics Vol. 1 No. 2 (2024): July : Proceeding of the International Conference on Electrical Engineering and
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/iceei.v1i2.18

Abstract

PT. Polyplex Films Indonesia is a manufacturer of Metallize Film products. This polymer film is coated with a tiny aluminum foil coating, giving it a bright metallic appearance. Metalized film materials have extensive use in decoration, food packaging, and specialized uses, including insulation and electronics. The production results of metalized film production show that in the most recent year, 2022, the number of defects was 1.6%, which is higher than the tolerance limit the company set at 0.5% of total annual production. Maintaining the consistency of the quality of the metalized film products that the company produces is much easier. The number of defects settled by the different types: Heat line accounts for 42% of the defects, pinhole accounts for 31%, and Star sky accounts for 27%. The company employs the PDCA method to mitigate issues in the production line. The implementation results demonstrate that the PDCA method has led to a reduction in the number of defects. Specifically, the Heat Line defects decreased from 274 tons to 57 tons, representing a decrease of 79.19%. Similarly, the Star Sky defects decreased from 178 tons to 85 tons, resulting in a reduction of 52%. The pinhole defects decreased from 202 to 51 tons, indicating a 74.8% decrease. The findings of this study should deepen our understanding of how the PDCA technique actually works to enhance product quality. This is because the changes are produced during the action phase, allowing for long-term retention of the gains. Product recommendations for additional investigation include PET (polyethylene terephthalate), BOPP (bi-axially oriented polypropylene), and CPP (cast polypropylene) films.
Evaluation of the Attendance System Using the System Usability Scale Method at the Community Village Empowerment Office of Magetan Regency Yyunan Inan Octafi'istoh; Ridho Pamungkas; Jini Ajeng Novitasari
Proceeding of the International Conference on Electrical Engineering and Informatics Vol. 1 No. 2 (2024): July : Proceeding of the International Conference on Electrical Engineering and
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/iceei.v1i2.19

Abstract

Advances in information technology have encouraged government agencies to implement electronic-based systems to improve the effectiveness, efficiency, and transparency of services. The Community and Village Empowerment Service of Magetan Regency uses the Presence and Performance Application System Si Apik application to record the attendance of State Civil Apparatus as part of the E-Government program. This study aims to evaluate the usability of the Si Apik application using the System Usability Scale method to measure the level of user satisfaction. The research approach involves descriptive qualitative and quantitative methods, with data collection through observation, SUS questionnaires, and semi-structured interviews. The results showed an average SUS score of 52.59, which is in the marginal category, with a grade D and an "OK" rating. This score indicates that the system still has technical constraints, such as network connections and application errors, which affect ease of use. Recommendations for improvement include optimizing features, increasing system stability, and providing clearer technical guidance. This study provides strategic input for the Community and Village Empowerment Service of Magetan Regency in improving the quality of Si Apik application services.
Implementation of Six Sigma to Reduce Defects In Batik Cap Products To Maximize Production Capacity : Case Study: PT. Batik Banten Mukarnas Dedy Khaerudin; Ganjar Sidik Gandara; Budiharjo Budiharjo; Irma Nurmala Dewi
Proceeding of the International Conference on Electrical Engineering and Informatics Vol. 1 No. 2 (2024): July : Proceeding of the International Conference on Electrical Engineering and
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/iceei.v1i2.20

Abstract

Batik Banten Mukarnas is a company that produces stamped batik designs with various patterns and varieties of batik. Problems frequently arise in the company due to increased stamped batik production capacity to meet the demand for stamped batik design products, which continues to rise from stamped batik suppliers. Another impact of growing demand capacity is the high number of defects in stamped batik cloth products, because overall, the company's management, including human resources, tools, and methods, is not prepared for the increase in production capacity to meet the surge in consumer demand, resulting in an impact on the quality of the products produced—consequently, the organization endeavors to regulate the quality of stamped batik cloth at PT. Batik Banten Mukarnas establishes objectives that employ Six Sigma with the DMAIC method (Define, Measure, Analyze, Improve, and Control) in the production of batik stamp designs to meet production objectives. The results of the data processing that has been done obtained a sigma value before improvement for 3 CTQ of 3.54. After improvement, the sigma value increased to 3.86. While for the sigma value before improvement for 1 CTQ of 3.04, the sigma value increased to 3.42 after improvement. The factors contributing to defective products, as illustrated by the fishbone diagram, include methods, personnel, materials, machinery, and environmental conditions. The division leader consistently oversees and regulates operations, enhances the number of brushes, and trains operators to ensure proficient adherence to standard operating procedures (SOP).
Integrating Facial Recognition and GPS Technology for Efficient Attendance Management in Educational Institutions M Rhifky Wayahdi; Fatahul Ahmad Dzikri
Proceeding of the International Conference on Electrical Engineering and Informatics Vol. 1 No. 2 (2024): July : Proceeding of the International Conference on Electrical Engineering and
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/iceei.v1i2.21

Abstract

This study explores the integration of facial recognition and GPS technology to enhance attendance management systems in educational institutions. By employing a two-layer verification process that combines face validation and location validation, the proposed system addresses common challenges of traditional attendance methods, such as proxy attendance and inefficient data management. The system not only improves accuracy and security but also provides valuable insights into attendance patterns through location-based analytics. Despite its advantages, the research highlights the need to address challenges related to data privacy, security, and user acceptance for successful implementation. Overall, this study contributes to the development of modern attendance management solutions, demonstrating the potential for increased efficiency and effectiveness in educational environments.
An Enhancement of A* Algorithm Applied in Automated Vehicle Parking Mary Janelly S Borbon; Rovia Zhen M Indol; Raymund M Dioses; Khatalyn E. Mata
Proceeding of the International Conference on Electrical Engineering and Informatics Vol. 1 No. 1 (2024): January : Proceeding of the International Conference on Electrical Engineering
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/iceei.v1i1.22

Abstract

The A* Algorithm is a path-finding algorithm that primarily uses weighted graphs and focuses on the heuristic values of nodes. However, while effective in generating a near-optimal path in a static environment, the traditional algorithm faces limitations in navigating dynamic environments, often resulting in collisions due to its inability to recognize dynamic and moving obstacles. This limitation makes it inefficient especially in complex environments with real-world scenarios. To address these limitations, an Enhanced A* Algorithm is proposed. This algorithm utilizes Navigation Mesh data structure to generate a more optimal route with local path planning and to dynamically adjust the parameters in two-dimensional non-grid environments. The performance of the algorithms was evaluated using 12 benchmarks, each corresponding to a distinct test case and levels of complexity. Then, in terms of dynamic obstacle avoidance, a comparison between the Enhanced A* Algorithm and the traditional algorithm was conducted. Statistical analyses were also performed to assess the consistency and validity of the findings. The results demonstrated that the Enhanced A* Algorithm successfully avoided all dynamic obstacles and moving objects encountered along the path in all distinct test cases. In contrast to the traditional algorithm, which achieved an average obstacle avoidance rate of 8.33%, the enhanced algorithm consistently demonstrated a 100% average obstacle avoidance rate. The enhanced algorithm outperformed the traditional A* algorithm in generating a path in a complex environment by exhibiting optimal dynamic obstacle recognition and avoidance. The Enhanced A* Algorithm is subsequently applied to autonomous vehicle parking, following standard parking restriction laws.
An Enhancement of Cuckoo Search Algorithm for Optimal Earthquake Evacuation Space Allocation in Intramuros, Manila City Marcus Andre C Villanueva; Charles Matthew L Ching; Khatalyn E Mata
Proceeding of the International Conference on Electrical Engineering and Informatics Vol. 1 No. 1 (2024): January : Proceeding of the International Conference on Electrical Engineering
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/iceei.v1i1.23

Abstract

The Cuckoo Search Algorithm (CSA), while effective in solving complex optimization problems, faces limitations in random population initialization and reliance on fixed parameters. Random initialization of the population often results in clustered solutions, resulting in uneven exploration of the search space and hindering effective global optimization. Furthermore, the use of fixed values for discovery rate and step size creates a trade-off between solution accuracy and convergence speed. To address these limitations, an Enhanced Cuckoo Search Algorithm (ECSA) is proposed. This algorithm utilizes the Sobol Sequence to generate a more uniformly distributed initial population and incorporates Cosine Annealing with Warm Restarts to dynamically adjust the parameters. The performance of the algorithms was evaluated on 13 benchmark functions (7 unimodal, 6 multimodal). Statistical analyses were conducted to determine the significance and consistency of the results. The ECSA outperforms the CSA in 11 out of 13 benchmark functions with a mean fitness improvement of 30% across all functions, achieving 35% for unimodal functions and 24% for multimodal functions. The enhanced algorithm demonstrated increased convergence efficiency, indicating its superiority to the CSA in solving a variety of optimization problems. The ECSA is subsequently applied to optimize earthquake evacuation space allocation in Intramuros, Manila.
Effective Website Development Model for MSMEs to Encourage Innovation in Smart Cities Ridho Pamungkas; Dimas Setiawan; Mei Lenawati; Bayu Saputra
Proceeding of the International Conference on Electrical Engineering and Informatics Vol. 1 No. 1 (2024): January : Proceeding of the International Conference on Electrical Engineering
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/iceei.v1i1.24

Abstract

Micro, Small and Medium Enterprises (MSMEs) are an important sector in the Indonesian economy. However, many MSMEs face obstacles in accessing digital technology to improve competitiveness and innovation. With the development of the Smart City concept, which integrates technology to improve quality of life and access to public services, MSMEs in areas that adopt it have the opportunity to utilise digital technology. Madiun City, as part of the Smart City initiative, has great potential in developing an inclusive digital ecosystem for MSMEs. This research aims to formulate an effective website development model for MSMEs in Madiun City, to support product innovation and marketing and improve competitiveness in the digital market. The analysis shows that website development can improve MSME competitiveness and innovation, with benefits such as wider market access and integration with digital marketing technology. However, the main challenges faced are limited digital knowledge, development costs, and security threats. Therefore, support from the government and related institutions is needed to provide training and resources for sustainable website management.
Evaluation of Accounting Software Learning Limitations at STIE Ganesha Mar'atus Sholehah; Nurdin Nurdin; Ronny Marthin Sitohang; Yandi Asmana; Ujang Kusnaedi; Aep Saefullah
Proceeding of the International Conference on Electrical Engineering and Informatics Vol. 1 No. 1 (2024): January : Proceeding of the International Conference on Electrical Engineering
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/iceei.v1i1.25

Abstract

The purpose of this study is to evaluate the deficiencies in the learning of accounting software at STIE Ganesha. This study will concentrate on factors that potentially hinder the integration of accounting software into the college curriculum. This research started in October 2024. Accounting students at STIE Ganesha are the research subjects. Qualitative research was conducted and data was collected through in-depth interviews. The results showed that learning accounting software has several problems. One of them is the lack of supporting resources and lack of technological infrastructure. In addition, students face difficulties in understanding and accessing accounting software required to meet the needs of the working world. To produce more efficient accounting software learning, this research emphasizes increasing resource capacity and improving supporting infrastructure. This research is expected to help STIE Ganesha develop methods to improve software-based accounting learning.
Classification Methods in Sentiment Analysis of Customers Statisfaction as a Services Improvement Strategy Wiwin Windihastuty; Yani Prabowo; M N Farid Thoha
Proceeding of the International Conference on Electrical Engineering and Informatics Vol. 1 No. 1 (2024): January : Proceeding of the International Conference on Electrical Engineering
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/iceei.v1i1.26

Abstract

Customer satisfaction is a crucial indicator in assessing the quality of a company's products, services and overall experience. This research aims to identify the level of customer satisfaction and optimize the available data for effective use in sentiment analysis. In this study, we analyzed 4,353 customer reviews collected over the past year, with 3,481 reviews used as training data and 871 reviews as testing data. The analysis process was conducted using the Cross-Industry Standard Process for Data Mining (CRISP-DM) approach and leveraged the Logistic Regression algorithm to build a predictive model. Model evaluation using the confusion matrix yielded an accuracy of 94.60%, a precision of 94.26%, and a recall of 94.60%. The analysis was conducted using Jupyter Notebook and the Python programming language. The results indicate that sentiment analysis is effective in identifying and predicting customer satisfaction levels, which in turn can help a company’s products improve its service strategies. The optimization of previously underutilized data now provides deeper insights into customer perceptions and expectations, enabling the company to make more targeted decisions and enhance overall customer satisfaction.

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