PROTOTYPE METHOD PADA APLIKASI SCHEDULER BERBASIS MOBILE

PT United Tractors is currently implementing digitalization in its various activities. In its implementation, delivering information and archiving documents in the PSD4 Service Division still have obstacles due to the lack of effective and efficient access to information needed to do work. To overcome these problems, the solution that can be provided is to develop a mobile-based document filing system using the Flutter framework to maximize the development of mobile-based systems. For developers to interact directly with teams related to application capabilities, this system development method uses the Prototype method, which has 5 phases: Communication, Quick Plan, Modelling Quick Design, Construction of Prototype, and Development, Delivery, and feedback phases. The result of this research is an Android-based Scheduler Mobile document archiving application that has been made based on the steps in the prototype method. Testing using Black Box and Flutter DevTools is done to find out the results of the application that has been made. Black Box and Flutter DevTools testing results show that the application can run as expected

PERFORMANCE OF THE YOLOV5 ALGORITHM TO DETECT HUMANS IN THE REAR EXCAVATOR AREA

Work involving excavators carries a high risk of accidents that can result in fatalities, making Occupational Safety and Health (OSH) critically important. Most excavator accidents are caused by blind spots at the rear, where the operator's limited field of view increases the risk of hitting nearby objects or workers. Despite safety features such as reverse alarms and rear cameras, these technologies only display real-time video without automatically detecting workers, thus still posing a significant risk. This study aims to develop a human detection system for the rear area of excavators using the YOLOv5 algorithm based on image processing. The system's main features include real-time human detection, distance estimation, and audible warnings if a human is detected within a high-risk distance. The system was tested using three video recordings depicting human objects behind the excavator in different scenarios. Despite the limited number of video samples, the human objects provided sufficient complexity to evaluate the system's effectiveness. The test results showed an average accuracy of 80.5% and an F1-score of 87.78%. These findings indicate that the YOLOv5-based detection system performs well in various video conditions and shows potential effectiveness in real operational situations. Consequently, this system is expected to reduce the risk of work accidents with excavators caused by rear blind spots and improve on-site worker safety. This research contributes to the field of occupational safety by integrating image processing algorithms into the development of heavy equipment safety technology, thereby enhancing worker protection

INVENTORY APPLICATION DESIGN AT INDUSTRIAL WATER DEPO USING EXTREME PROGRAMMING METHOD

Bening Water Depo involves in selling mineral water and refill water and trading with partner entities in the water sector. In the activities of inventory management and storage as well as recording of sales, problems are found because the management of inventory recording and recording of sales made in stores often experiences data loss caused by inventory recording still in paper form or you can say it is still doing manual recording, which has the possibility of collecting lost, damaged paper, or the recorded data cannot be read clearly. The urgency is to track expenses and income if the activity in the store is too crowded and records are still in paper form. The Extreme Programming method is used in this study. Steps of the extreme programming methodology cover the application planning phase, the application design phase, the application coding phase, and finally the application testing phase by doing blackbox testing to test the functional of the system. Results of this study are a website-based inventory application with several types of features including incoming and outgoing data management, then recording goods data, customer recording, recording incoming goods transactions, outgoing transaction reports, incoming goods reports, commodity data reports, customer data reporting, as well as book reports that include sales transaction reports, reseller sales reports, and purchase or restock reports. Implementing an inventory application in a gallon drinking water business can increase operational efficiency, improve customer service, and help in making better decisions for sustainable business growth

PERFORMANCE OF ROBUST SUPPORT VECTOR MACHINE CLASSIFICATION MODEL ON BALANCED, IMBALANCED AND OUTLIERS DATASETS

In the realm of machine learning, classification models are important for identifying patterns and grouping data. Support Vector Machine (SVM) and Robust SVM are two types of models that are often used. SVM works by finding an optimal hyperplane to separate data classes, while Robust SVM is designed to deal with uncertainty and noise in the data, making it more resistant to outliers. However, SVM has limitations in dealing with class imbalance and outliers in the dataset. Class imbalance makes the model tend to predict the majority class, and outliers can interfere with model formation. This research compares the performance of SVM and Robust SVM on normal, unbalanced and outlier datasets. The software uses Python and Scikit-learn for implementation and comparison of the two models. Key features include automatic data preprocessing, model training, and evaluation with metrics such as accuracy, precision, recall, and F1 score. The results show that Robust SVM is superior in accuracy on normal datasets and is very effective in dealing with class imbalance, achieving a maximum accuracy of 100%. On datasets with outliers, Robust SVM maintains stable accuracy, demonstrating its robustness to outliers. This research contributes to correspondence management by providing more reliable classification models, improving data processing accuracy, and supporting more informed decision making in software developmen

MODEL OF INDONESIAN CYBERBULLYING TEXT DETECTION USING MODIFIED LONG SHORT-TERM MEMORY

Cyberbullying, in its essence, refers to the deliberate act of exploiting technological tools to inflict harm upon others. Typically, this offensive conduct is perpetuated repeatedly, as the perpetrator takes solace in concealing their true identity, thereby avoiding direct exposure to the victim's reactions. It is worth noting that the actions of the cyberbully and the responses of the individual being cyberbullied share an undeniable interconnection. The main objective of this study was to identify and analyze Instagram comments that contain bullying words using a model of WLSTML2 which is an optimization of a long short-term memory network with word-embedding and L2 regularization. This experiment using dataset with negative labels as many as 400 data and positive as many as 400 data. In this study, a comparison of 70% training data and 30% testing data was used. Based on experimental results, the WLSTMDR model obtained 100% accuracy at the training stage and 80% accuracy at the testing stage. The WLSTML2 model received an accuracy of 99.25% at the training stage and an accuracy of 83% at the testing stage. The WLSTML1 model obtained an accuracy of 97.01% at the training stage and an accuracy of 80% at the testing stage. Based on the experimental results, the WLSTML2 model gets the best accuracy at the training and testing stages. At the testing stage of 132 data, it was found that the positive label data predicted to be correct was 56 data and the negative label data that was predicted to be correct was 53 data

IMPLEMENTASI METODE WATERFALL DAN SYSTEM USABILITY SCALE TESTING PADA APLIKASI FISIOTERAPI PASIEN BPJS

The background of the problem in this study is that Physiotherapy Services at Permata Hati Hospital for BPJS patients are carried out scheduling or physiotherapy protocol data by writing on the form paper provided and then given to the patient. Besides being given to the patient, the form is also stored by the physiotherapy poly section. The problem that often occurs is that the physiotherapy poly officer must also rewrite the BPJS patient's physiotherapy protocol data in the ledger as data for the next physiotherapy schedule. If you want to find physiotherapy protocol data, it is difficult to do because you have to look one by one in the ledger. The purpose of this research is to make it easier for poly officers to process physiotherapy protocol data in a computerized manner through the design of BPJS patient physiotherapy protocol data applications at Permata Hati Hospital by applying the waterfall method and System Usability Scale (SUS). The results showed that in blackbox testing, the results were obtained in accordance with what was expected starting from the login form test to the patient data input form. Furthermore, testing using the SUS method obtained an average value of 70.75 with a total of 10 respondents and a total of 10 statements. There are 3 components of the System Usability Scale method, namely Acceptable, Grade Scale and Adjective, each component of the results is still at a good value and the level of application is quite comfortable to be used by users

PELATIHAN JURNALISTIK BAGI SISWA SEKOLAH MELALUI PENGGUNAAN MEDIA SOSIAL DI ERA MILENIAL

The dynamics of students in high school currently face various strong and unique challenges related to understanding journalism and the use of social media tools in the millennial era. The use of computers is a real activity of Youth Catholic Community (YCC) which continues to be dynamic. The problems faced by Cenderawasih Catholic High School and Frater High School students in using social media are a lack of good and wise knowledge and understanding, still having an emotional nature or lack of self-control, and not using social media applications constructively. Student learning practices still require serious efforts to increase productivity to be targeted, effective and measurable. The training aims to educate school students in understanding journalistic concepts with 3 (three) main aspects in the use of social media in the millennial era, namely: cognitive (knowledge), affective (attitude), and psychomotor (skills) to produce creative social media content with character constructive. Training methods include pre-training (information questionnaire), training implementation (tutorial, practice, and presentation) and training evaluation (rubric questionnaire). The training has educated students in understanding journalistic concepts with 3 (three) aspects of using social media in the millennial era. The results of the evaluation of 30 students, namely: cognitive aspects of 18 people or 60.00%, affective aspects of 22 people or 73.33%, and psychomotoric aspects of 21 people or 70.00%, so it can be said that in general students have been able to understand the use of social media well good

PENERAPAN INOVASI DIGITAL PEMASARAN UNTUK PENINGKATAN OMZET PEMBERDAYAAN EKONOMI RUMAH TANGGA PKK KELURAHAN RAGUNAN

The background of this Community Service activity is that PKM partners of PKK cadres in Ragunan Village have several limitations in terms of identity, packaging and product marketing. For product identity, there is no logo (label) for packaging, so the product that has been made is less known. In addition, there is no safe packaging design for the delivery of business products sold. So far, sales have only been carried out through event bazaars around Ragunan village so that there is a lack of marketing networks. Limited sales range, and the target market is not wide and diverse, revenue or sales turnover does not increase. The purpose of this PKM activity is to expand market reach, build strong product appeal, increase sales turnover and increase economic independence. The method for this PKM activity is to provide socialization and training regarding new product logos for the packaging production process on packaging labels, packaging design for shipping packaging, socializing the e-commerce application that has been made to PKK cadres of Ragunan Village. Providing training in using e-commerce platforms to market their products. The targeted output is to create an online sales application (e-commerce) to be able to market the business products of PKK cadres in Ragunan Village widely. This community service reached the main conclusion that digital marketing strategies effectively help the economic empowerment of PKK cadres' households and this strategy shows positive results in increasing their economic independence and income

EFEKTIVITAS PELATIHAN PEMBUATAN KONTEN DIGITAL DALAM MENINGKATKAN PEMASARAN PRODUK KELOMPOK WANITA TANI (KWT) PANCASONA

The Women Farmers Group (KWT) Pancasona, located in the Dephan Pondok Rajeg Asri complex, manages 5 plot areas and 1 greenhouse, focusing on providing organic vegetables. However, they face challenges in effectively utilizing social media to promote their harvests and sales, particularly in digital content creation. This community service initiative aims to provide training in digital content creation using the Canva application to enhance product marketing through social media. The methods used include observation to identify the problems faced by the partners, preparation of appropriate training materials, conducting training and mentoring in technology-based content creation with Canva, and evaluation to measure participants' understanding after the training. The results show that participants' understanding of the Canva application increased from 61% in the pretest to 92% in the posttest. Feedback from questionnaires indicated high satisfaction with the materials, facilities, and benefits of the training. Overall, this activity was effective in improving the knowledge and skills of participants, helping to provide solutions to marketing problems by optimizing social media use

PENINGKATAN DAYA SAING KELOMPOK TANI MELALUI PEMANFAATAN TEKNOLOGI PERTANIAN

Indonesia is known as an agricultural region with a wide variety of agricultural and plantation commodities. Plantation commodities such as coffee plants are one of the superior products produced by farmers in Indonesia. Coffee plants grow in mountainous areas with relatively cold weather temperatures. Geographically, natural conditions support coffee plants to grow well even with limited technology. Community service activities aim to increase the competitiveness of coffee farmer groups through the application of technology. The community service activities were carried out in Mekarmanik Village, Cimenyan District, Bandung Regency, West Java Province. Service partner Tiwikrama Mukti Farmer Group is engaged in coffee plantations around Mekarmanik village. Coffee trees in this area are planted intercropped with rubber trees that grow on land owned by the PERHUTANI State-Owned Company. The method of implementing the service activities provides assistance with a set of grass cutting equipment and garden support equipment. This equipment can help farmers clean grass and weeds that often grow around the garden so that the growth of coffee plants can be better. In addition to providing agricultural equipment instruments, the service team provided simulations on the use of tools and counselling to farmer group partners regarding the market potential of coffee commodities. The results of community service activities in farmer groups after carrying out garden maintenance can increase coffee productivity. Coffee farmer groups also have a better understanding of coffee marketing circulation so that farmers obtain more optimal economic returns