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    347 research outputs found

    EMPLOYEE ATTENDANCE APPLICATION AT UNIVERSITAS MUHAMMADIYAH SIDOARJO BASED ON WHATSAPP

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    Objective: Effective employee attendance management is crucial for optimizing operational efficiency in higher education institutions. This study aims to develop a WhatsApp-based attendance system to enhance accuracy, efficiency, and accessibility at Muhammadiyah University of Sidoarjo. Method: A web-based application was designed and integrated with the WhatsApp API, enabling employees to record attendance by sending messages via WhatsApp. The system includes automated data processing features for administrative monitoring. The research follows a system development life cycle (SDLC) approach, incorporating requirements analysis, design, implementation, and evaluation phases. Results: The implementation of the system demonstrated improved attendance efficiency, minimized human error in data recording, and reduced reliance on additional applications. The administrative panel facilitated real-time monitoring, enhancing managerial oversight. Novelty: This study presents an innovative approach by leveraging WhatsApp—a widely used communication platform—as a cost-effective alternative to conventional attendance systems. The integration of WhatsApp API eliminates the need for dedicated mobile applications, reducing maintenance costs and improving user adoption. This solution offers a practical model for universities seeking to modernize attendance management while maintaining ease of use for employees

    EVALUATING THE SECURITY PERFORMANCE OF USING NEURAL NETWORK IN INDUSTRIAL INTERNET OF THINGS

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    Objective:  The aim of this research is to develop group-based classifications that improve the accuracy of intrusion detection. Method: So far, various methods and algorithms have been presented for data mining, and in this research, machine learning, neural network and optimization of weights with the help of genetic algorithm were used. For this purpose, kdd 99 dataset was used for data preprocessing and Convolutional Neural Network (CNN) algorithm was evaluated along with SVM and KNN algorithms. SVM and KNN algorithms were implemented using R software and convolutional neural network algorithm in MATLAB. Results: The results show that the use of machine learning and the neural system have acceptable results in intrusion detection. However, the weights optimized by the genetic algorithm show higher accuracy than the case with the original weights. Novelty: Comparing these results with the results of previous studies shows that the speed of convergence is much faster, which is one of the advantages of this algorithm

    RAT REPELLENT IN RICE FIELDS USING SOUND SENSORS AND SOLAR-POWERED BEN 5M-MFR AUTONIC SENSORS

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    Objective: Rice is a staple food in Indonesia, but pests such as rats and birds often cause significant crop failures. This research developed a technological solution using solar power to deter these pests and optimize yields. Method: The study utilized a research and development approach, testing components such as solar panels, a timer, an FC-04 sound sensor, and an autonic BEN5M-MFR sensor. Results: The results indicate that the sensor can detect pests within a 7m range, triggering ultrasonic waves regulated by the timer to effectively repel rats and birds. The solar panel maintained a consistent 13V throughout the day, and the battery powered the system for 7 hours, demonstrating the viability of the solar-powered design to meet operational requirements. Novelty: This innovation contributes to enhancing food security by mitigating the impact of pests on rice cultivation through the integration of renewable energy technology

    TRACTOR PAINT QUALITY CONTROL BY INTEGRATING THE SIX SIGMA METHOD AND FAIL MODE AND EFFECT ANALYSIS (FMEA) PT. XYZ

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    Objective: The aim of this research is to find out the main factors that cause defects in painting parts and make appropriate suggestions/improvements to reduce and prevent defects in the painting process. Methods: The Method employed is that The method used is the Six Sigma method and the FMEA (Failure Mode Effect and Analysis) method. Six Sigma in technical methods is oriented towards a statistical approach to calculating product defects. The goal is to reduce process variance by eliminating defects that interfere with customer satisfaction. FMEA is a technical analysis which, if carried out correctly and at the right time, will provide great value in helping the decision making process. Results: The Results show that The research results show that the average DPMO value for tractor product production on weekdays from January 1 2023 to April 30 2023 is 107618.46 with an average sigma value of 2.74. Novelty: The recommendation for improvement from the FMEA method is that the cause of the defect with the highest RPN value is painting that does not comply with the SOP of 576. The proposed improvement for the cause of this defect is supervision of painting employees. The Novelty is derived from the specific application and findings of the Six Sigma and FMEA methods in addressing the painting defects at PT. XYZ

    RECORDING WASTEWATER TREATMENT PLANT OUTLET WATER DISCHARGE USING GOOGLE SHEETS

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    Objective: The use of IoT-based waste outlet flowmeters is increasingly growing in wastewater monitoring and management. Method: The Method employed in this context is that This technology allows users to monitor the volume and flow rate of waste water in real-time via the internet network. Results: The primary Results obtained are that Its main advantage is in providing accurate and direct data related to actual conditions on the ground, enabling efficient and effective monitoring and better analysis of usage trends. Novelty: Finally, the Novelty of this approach is that Integration with IoT systems also enables the adoption of advanced automation solutions, improving overall operational responsibility, reliability and efficiency

    IMPROVING AIR QUALITY IN THE CLASSROOM THROUGH THE AIR CONDITIONING CLEANING PROGRAM AS AN EFFORT TO MAINTAIN STUDENT HEALTH IN THE LEARNING PROCESS AT THE ANNUR SIDOARJO ISLAMIC BOARDING SCHOOL

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    Objective: A clean, tidy classroom with adequate lighting and a cool, stable temperature will encourage students to focus and feel comfortable during the learning process. Room temperatures that are too hot or too cold can disrupt concentration, cause drowsiness, and even cause physical discomfort, which ultimately reduces learning effectiveness. Managing room temperature through good ventilation or optimal use of air conditioning is important. Additionally, a pleasant classroom environment—characterized by positive teacher-student relationships, the use of interactive learning methods, and a supportive emotional atmosphere—is essential. Method: The Waterfall Method is one of the linear and sequential methods used in system or project development. This method includes the initial observation and coordination stage, scheduling of AC cleaning activities, AC cleaning implementation, counseling and education, monitoring and evaluation, which must be completed before proceeding to the next stage, like a waterfall. Results: The classroom AC cleaning program has proven to have a positive impact on air quality and the comfort of the teaching and learning process. Comprehensive AC unit cleaning successfully reduced dust and dirt that could potentially harm the health of students and teachers. Novelty: Observations and questionnaires showed an increase in learning comfort and awareness of the importance of regular AC maintenance. The educational activities conducted also successfully fostered knowledge and awareness among teachers, staff, and students about the importance of maintaining a clean learning environment. This program is expected to serve as the first step in establishing a culture of regular school facility maintenance as a preventive measure to safeguard the health of school community members

    IMPROVING THE OPERATIONAL TECHNICAL SKILLS OF LIVESTOCK EQUIPMENT AT INDRAPURI BPTU-HPT

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    Objective: BPTU -HPT Indrapuri is one of the places for refining Aceh cattle and procuring green fodder seeds. Indrapuri BPTU-HPT also functions as a place for Field Practice, Field trips, and student research. Along with the development of technology and digitalization in the world of animal husbandry, it is necessary to conduct field visits for students. These field visits aim to better understand the knowledge and use of livestock machinery. Method: Students visited Indrapuri BPTU-HPT in order to observe and interview officers operating livestock equipment. The methodology for implementing field visits to the use of livestock operational machinery at Indrapuri BPTU-HPT is carried out by holding field practicums on livestock operational machinery. Results: The study found that Indrapuri BPTU-HPT uses various types of livestock operational machines such as feed choppers, feed mixers, milkers, manure vacuum cleaners, and egg incubators to support livestock activities. The machines serve specific functions: the chopper cuts the greens, the mixer mixes the feed, the milker facilitates hygienic milking, and the manure vacuum cleaner cleans the cage. The use of these machines brings several advantages, including time efficiency, improved product quality, and labor reduction. However, challenges such as high costs, maintenance, and electricity dependence remain. These operational machines play a significant role in increasing productivity and efficiency by enabling faster feed provision and cleaner cages, which contribute to the improved purification of Aceh cattle and the overall quality of livestock feed at Indrapuri BPTU-HPT. Novelty: The development of livestock tools and machinery is advancing continuously. Therefore, students, in addition to studying on campus, need to gain practical experience in the field of animal husbandry. This helps them to better understand the use of tools and machinery, as well as to gain insights into livestock feed preservation and livestock care management. This hands-on learning through field visits provides students with valuable knowledge and skills that will prepare them for their future careers

    PSYCHOEDUCATION OF ASSERTIVE COMMUNICATION TO IMPROVE BULLYING PREVENTION KNOWLEDGE IN JUNIOR HIGH SCHOOL STUDENTS

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    Objective: This psychoeducational activity aims to increase understanding related to bullying and assertive communication in SMPN 1 Purwosari students. Method: The method used in this psychoeducational activity uses the lecture method by psychologists, accompanied by pre-post-test evaluation, to measure participants' understanding. Results: The data analysis technique used the T test paired sample T-test, with a result of 0.001, meaning that there was a significant difference in participants' understanding before and after psychoeducation. Novelty: The psychoeducational approach and the use of paired sample T-test for measuring understanding before and after the activity may contribute to the novelty

    OPTIMIZING THE ROLE OF PARENTS THROUGH LITERACY AND HEALTH AWARENESS IN SUPPORTING CHILD DEVELOPMENT

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    Objective: The Community Service Program (KKN) in Balongdowo Village, Candi Sub-district, Sidoarjo Regency aimed to increase early childhood reading interest while strengthening parents’ role in supporting children’s growth and development. The background of this program was the low reading motivation among children, influenced by limited literacy facilities, health problems, and parents’ lack of awareness regarding the importance of early literacy. Method: The activities were carried out using a participatory approach through literacy workshops for parents, the establishment of a child-friendly reading corner, and basic health examinations to detect risks of stunting and malnutrition. KKN students collaborated with the local ‘Aisyiyah branch and TK/KB institutions in providing reading materials, conducting outreach, and mentoring children.  Results:  The program successfully established a reading corner with various attractive books for children, organized a literacy seminar that raised parents’ awareness, and implemented health checks that provided an overview of children’s growth conditions. Active participation of partners strengthened the program’s success, creating synergy among students, educational institutions, parents, and health cadres.  Novelty: This KKN program offers an integrated model that combines literacy improvement and early childhood health monitoring simultaneously. Unlike conventional literacy programs, it provides a holistic impact by addressing both educational and health aspects while directly involving parents. This combined approach becomes the novelty that distinguishes the program from similar activities

    OPTIMIZATION OF FLOOR CERAMIC PRODUCTION PROFIT USING SIMPLEX METHOD AND SENSITIVITY ANALYSIS

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    Objective:  This study aims to find the optimal production strategy by considering these limitations. Method: Simplex method based on linear programming using LINGO software is applied to determine the best production combination. Results: The results of the analysis show that to obtain optimal profits of Rp680,963,542, the company needs to produce 14,815 m² of 60×60 granite, 21,297 m² of 60×60 ceramic, and 8,334 m² of 60×120 ceramic. This figure is 3% higher or equivalent to IDR 21,103,292 compared to the initial profit of IDR 659,860,250. Sensitivity analysis shows that all selected production variables have a reduced cost of zero, indicating that production conditions are optimal. A price change to the lower bound could potentially decrease revenue by 5% to Rp625,515,731, while an increase in price to the upper bound could increase revenue by 13% to Rp745,599,549. This result shows that there is flexibility in adjusting prices to maximize profits. Novelty: The problem of optimization in achieving maximum profit due to limited machine capacity and production targets is a challenge for ceramic companies

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