cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Yuhefizar
Contact Email
yuhefizar@pnp.ac.id
Phone
-
Journal Mail Official
yuhefizar@pnp.ac.id
Editorial Address
https://abecindonesia.org/proceeding/index.php/abec/about/editorialTeam
Location
Unknown,
Unknown
INDONESIA
Proceeding Applied Business and Engineering Conference
Published by ABEC: Konsorsium Politeknik Se-Sumatra
ISSN : -     EISSN : 27762343     DOI : -
Core Subject : Religion, Economy, Humanities, Science, Education, Social, Engineering,
Religion Humanities Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Physics Social Sciences Transportation Other
Prosiding konferensi Politeknik se Sumatra, ruang lingkup: teknik elektro, teknik mesin, teknik komputer, teknik sipil, ilmu sosial, administrasi bisnis, akuntansi, bahasa inggris, pertanian, pariwisata
Arjuna Subject : Teknik (semua kategori) - Teknik (Lain-Lain)
Articles 103 Documents
 1   2   3   4   5 
Search results for , issue "Vol. 12 (2024): 12th Applied Business and Engineering Conference" : 103 Documents clear
Implementation of an Early Warning System Integrated with AIS-POLBENG Remote Base Station for the Safety of Traditional Ships in the Malacca Strait Enda, Depandi; Supria, Supria; Romadhoni, Romadhoni; Hardiyanto, Hardiyanto; Faizi, M. Nur; Afridon, M.
ABEC Indonesia Vol. 12 (2024): 12th Applied Business and Engineering Conference
Publisher : Politeknik Negeri Bengkalis

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

Abstract

Referring to the Indonesian Minister of Transportation Regulation No. PM 7 of 2019 and IMO regulations onthe use of AIS devices, it is stated that AIS devices must be installed on passenger ships, cargo ships with a minimum sizeof 35GT, and fishing vessels of at least 60GT. However, smaller vessels under 60GT are also highly recommended to equipAIS devices to enhance maritime safety and security. This recommendation is based on several maritime accidentsinvolving traditional fishing vessels, which often lack safety equipment such as navigation tools and AIS devices.Therefore, the role of AIS devices is crucial for the safety of fishermen at sea, especially in preventing ship collisions,illegal fishing, and supporting SAR (Search and Rescue) operations. The high cost of AIS equipment presents a challengefor small-scale fishermen to afford these devices. This research aims to develop a more affordable alternative AIS devicebased on Lora technology, which offers similar functionality to standard AIS devices. The developed Lora Transpondercan also be integrated with the existing AIS-POLBENG system, thereby facilitating monitoring activities and providingearly warnings of potential hazards during sailing activities to traditional fishing vessels equipped with the device. Thesystem implementation results show that the Early Warning System operates as expected. The maximum coverage of AISTransponder data transmission is 49.87 Nautical Miles (92.36 Km). On the other hand, 3 units of lora transponder deviceshave successfully sent sensor and location data to the gateway every 30 seconds with the device set at class C andrecommended using binary format for more efficiency.
Implementation of Digital Image Processing to Determine The Body Dimensions of Nile Tilapia Fish Supriyatna, Agiska Ria; Oktaviana, Adni; Subyantoro, Eko
ABEC Indonesia Vol. 12 (2024): 12th Applied Business and Engineering Conference
Publisher : Politeknik Negeri Bengkalis

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

Abstract

The present work aimed to use digital image processing techniques for identifying body dimensions of NileTilapia. The total number of exoskeleton measurements made on fish body dimension are high in aquaculture as it is usedto predict the weight, feeding schedule, breeding and market value. Current fish measuring methods can be time-consumingand susceptible to human error. In this research, an automated and effective fish measurement system with digital imageprocessing is proposed. It consists of taking images of the fish, segmenting the fish body from its background and finallyusing contour detection to measure a set of dimensions such as length, height and width. This analysis is applied on thesedimensions to find the weight of specific fish. Overall, the results reveal that the image processing methodology maysuccessfully reproduce manual measurements with a great degree of accuracy and hence can be a suitable tool forapplications in aquaculture practice. This may greatly cut down on operations.
Automatic Door Lock Based on Knock Pattern and Face Detection Zulhaq, Danang Fariz; Fahruzi, Iman
ABEC Indonesia Vol. 12 (2024): 12th Applied Business and Engineering Conference
Publisher : Politeknik Negeri Bengkalis

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

Abstract

Residential burglaries are prevalent offenses, frequently occurring during the absence of homeowners. These offensesgenerally entail breaching doors or windows. An innovative home security system is important to resolve this issue. This researchseeks to create an automated door locking mechanism utilizing knock patterns and facial recognition to improve residential security.The system incorporates a piezoelectric sensor for detecting knock patterns and an ESP32-Cam for facial recognition. The studymethodology entails the development and evaluation of a system that integrates two primary components, guaranteeing that thedoor unlocks solely upon the recognition of both an accurate knock pattern and a registered facial image. The system's accuracywas assessed under varying lighting situations and distances to determine its efficacy. The results indicate that the face detectionsystem operates effectively under optimal lighting settings, and the knock pattern system activates the door lock mechanism whenthe knock intervals correspond to the pre-registered pattern. Nonetheless, the system encounters difficulties in recognizing faces inlow-light conditions. The door lock is secure, as it will only unlock when both the appropriate facial recognition and knock patterncriteria are satisfied, thus improving security relative to conventional locks. This dual-layer security strategy mitigates the dangersinherent in traditional systems, such as keys or PINs, which are susceptible to theft or circumvention. The proposed technologysignificantly enhances home security, presenting a more secure and user-friendly alternative to current options. Futureenhancements may concentrate on augmenting the precision of facial detection in low-light environments and refining the systemfor wider practical applications.
The Urgency of Financial Literacy, Financial Attitude, and Lifestyle on Personal Financial Management of Kartu Indonesia Pintar Scholarship Recipients in the Era of Increasing Digital Fraud Rosmida, Rosmida; Nurhazana, Nurhazana
ABEC Indonesia Vol. 12 (2024): 12th Applied Business and Engineering Conference
Publisher : Politeknik Negeri Bengkalis

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

Abstract

Kartu Indonesia Pintar Kuliah (Indonesia Smart Card for College), is one of the government programs in theeducation sector. The purpose of KIP is to provide wider educational opportunities for prospective students fromunderprivileged families who have academic achievements across Indonesia. To achieve the nation's goals andaspirations, it is expected that KIP recipients can complete their studies on time and acquire competencies to improvetheir family's economic condition in the future. Therefore, KIP recipients must wisely manage their personal finances,especially in this era where digital crimes are rampant. Students should understand financial literacy, possess goodfinancial attitudes, and maintain a simple lifestyle. The purpose of this research is to determine the effect of financialliteracy, financial attitudes, and lifestyle on the personal financial management of KIP recipients. The respondents in thisstudy are 100 KIP students from the Public Financial Accounting study program in semesters 3, 5, and 7. The data wereanalyzed using multiple linear regression with the statistical SPSS 25. The results of the t-test and F-test show thatfinancial literacy and financial attitudes have a significant influence on the personal financial management of KIPrecipients, while lifestyle has no significant influence on personal financial management. Simultaneously, financialliteracy, financial attitudes, and lifestyle have a significant effect on the personal financial management of KIP recipients.The coefficient of determination test shows that financial literacy, financial attitudes, and lifestyle variables explain43.7% of the personal financial management variable, while the remaining 56.3% is explained by other variables.
Application of Rhizobium Inoculum and Plant Population on Nodulation and Productivity of Edamame (Glycine max (L.) Merr.) Rochman, Fajar; Rahmadi, Rizky; Sari, Evi Yunita
ABEC Indonesia Vol. 12 (2024): 12th Applied Business and Engineering Conference
Publisher : Politeknik Negeri Bengkalis

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

Abstract

Root nodulation is a crucial process for legumes, including edamame (Glycine max (L.) Merr.), as it enablesbiological nitrogen fixation, enhancing nitrogen availability for plant growth. The implementation of Rhizobium inoculumhas been demonstrated to reduce the necessity for synthetic fertilizers, thereby enhancing the health and yield of the plantsin question. Furthermore, optimal plant population management ensures adequate access to light, water, and nutrients,maximizing productivity. The combination of Rhizobium inoculation and population management represents a crucialstrategy for enhancing the productivity and sustainability of legume crops, such as edamame. This study examines theimpact of Rhizobium inoculation and plant population management on the nodulation and productivity of edamame. Theresearch was conducted using a randomized block design, with two factors: the application of Rhizobium (Bradyrhizobiumjaponicum) at two levels (without inoculation and with inoculation) and plant spacing (20 x 15 cm and 20 x 30 cm). Eachtreatment was replicated five times. The observed parameters included number of root nodulations, plant height, leaf area,leaf greenness, number of filled and empty pods, weight of filled and empty pods, wet weight, and 100 seed weight. Thedata were subjected to analysis of variance, followed by Duncan's Multiple Range Test. The findings indicated thatRhizobium inoculation markedly enhanced root nodulation, with the 20 x 15 cm spacing in conjunction with inoculationyielding the highest total nodulation, number and wight filled pods, wet weight, and 100 seed weight.
The Role of SMOTE in Enhancing Naive Bayes Classification for Major Choice Prediction Rahmi, Elvi; Yumami, Eva
ABEC Indonesia Vol. 12 (2024): 12th Applied Business and Engineering Conference
Publisher : Politeknik Negeri Bengkalis

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

Abstract

This study examines the application of the Synthetic Minority Oversampling Technique (SMOTE) to addressclass imbalance within a dataset used for predicting high school major selection. The dataset comprises 468 traininginstances, including 306 labeled as 'IPA' and 162 labeled as 'IPS'. Despite the implementation of SMOTE, the results revealno significant enhancement in the predictive performance of the models, as both the SMOTE and non-SMOTE modelsachieved an accuracy of 100%, an F1-score of 100%, and a recall of 100%. This finding suggests that other factors, suchas the selection of relevant features, hyperparameter tuning, and model complexity, may have a more substantial impact onprediction performance. Additionally, the study proposes several recommendations for future research, includingconducting a more in-depth feature analysis, exploring alternative classification algorithms with advanced class imbalancehandling mechanisms, and performing meticulous hyperparameter optimization to improve overall model performance.
Comparative Analysis of Filtering Techniques for Efficient Data Aggregation in Smart Hydroponic Systems Qomariyah, Nurul; Putra, Septafiansyah Dwi; Asrowardi, Imam
ABEC Indonesia Vol. 12 (2024): 12th Applied Business and Engineering Conference
Publisher : Politeknik Negeri Bengkalis

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

Abstract

The rapid evolution of digital technologies has transformed traditional agriculture into a more efficient andintelligent system. This study focuses on the development of a data aggregation strategy in Smart Hydroponic Systems tooptimize network consumption without sacrificing data accuracy. By utilizing Threshold Filtering and Delta-BasedFiltering techniques, significant reductions in data transmission were achieved while maintaining essential temperaturemonitoring capabilities. Experimental results demonstrated that both techniques effectively reduced data points andoptimized bandwidth usage, particularly in temperature-stable environments. This research contributes to theadvancement of sustainable digital agriculture by providing an efficient approach to managing network resources in IoTbasedhydroponicsystems.
PRISMA-Guided Systematic Review on Machine Learning for University Student Dropout Prediction Elza, Sari Fauzia; Widyasari, Yohana Dewi Lulu
ABEC Indonesia Vol. 12 (2024): 12th Applied Business and Engineering Conference
Publisher : Politeknik Negeri Bengkalis

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

Abstract

This systematic review examines the application of machine learning techniques to predict students dropout.The prisma 2020 guidelines were followed to ensure a comprehensive and transparent review process. As the behaviour ofstudents who drop out becomes increasingly complex due to factors such as academic performance, personal characteristicsand socio-economic conditions, machine learning offers promising solutions for the early identification of students at risk.This review summarises findings from peer-reviewed studies published between 2014 and 2024 and indexed in the scopusdatabase. The focus is on the performance, strengths and limitations of different machine learning models such as decisiontrees, support vector machines and neural networks. The selection of the 2014-2024 timeframe reflects the significantadvances in machine learning technologies, the improved quality and availability of educational data, and the evolvingresearch trends in education. This timeframe also coincides with changes in education policy and ensures that the studycaptures current and relevant findings. The report concludes with recommendations for future research, including theintegration of complex data characteristics and the development of universal models that can be adapted to different studentpopulations.
Design and Build of a Temperature Monitoring System for Charcoal Burning Pipes Using Arduino Uno Setyawan, Reynaldi Teguh; Bambang, Bambang; Rahma, Yosie
ABEC Indonesia Vol. 12 (2024): 12th Applied Business and Engineering Conference
Publisher : Politeknik Negeri Bengkalis

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

Abstract

Charcoal burning is a traditional method widely used in industries such as power generation, steel production,and manufacturing. This process involves high-risk equipment components, such as pipes that have a certain meltingpoint limit, so continuous temperature monitoring is very important to maintain operational efficiency and safety.Anjangg village, as a producer of charcoal from mangrove tree trunks, faces air pollution problems due to the smokeproduced during the burning process. As a solution, a tool has been developed that can convert smoke into liquid (liquidsmoke). However, the high temperature of the smoke poses a risk to the PVC pipe material used in liquid smokecondensers which can melt at a temperature of 85℃. The tool that will be made in this research is a tool that can monitorthe temperature of the pipe to help maintain the durability of the condenser pipe material. This monitoring system tool isrun using an automatic Arduino Uno microcontroller system and uses a type K thermocouple temperature sensor as atemperature detection tool in the pipe. The test results show that the system is successful in detecting temperatures up to83.75℃ well, with consistent voltage when detecting smoke or not.
Implementation of Customer Relationship Management: The Effect of Brand Image on SMES in Siak Regency Asra, Yunelly; Mubarak, Husni; Maulana, Hutomo Atman; Aulia, Aulia; Syahputri, Melviana
ABEC Indonesia Vol. 12 (2024): 12th Applied Business and Engineering Conference
Publisher : Politeknik Negeri Bengkalis

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

Abstract

This study aims to determine the effect of brand image on the implementation of customer relationshipmanagement by SMEs in Siak Regency. The population of this study was all the SMEs in Siak Regency and used theslovin formula as a sampling technique. Data collection techniques used surveys, observational and In Deph Interviews.Data analysis technique used simple linear regression. The result of this study show that: The brand image have positiveand significant effect on implementation of customer relationship management with contribution of 75,4%.

Page 1 of 11 | Total Record : 103

 1   2   3   4   5 

Filter by Year

2024 2024


Reset
Filter By Issues
All Issue Vol. 12 (2024): 12th Applied Business and Engineering Conference Vol. 11 (2023): 11th Applied Business and Engineering Conference Vol. 10 (2022): 10th Applied Business and Engineering Conference Vol. 9 (2021): 9th Applied Business and Engineering Conference