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Leads Property Service Indonesia is a company operating in the services and services sector. PT. Leads Property Service Indonesia is widely known and many buildings use PT's services. Leads Property Service Indonesia for rent office space including the BRIpens Tower Building. To promote the office building area that will be rented only through the website so that there are problematic factors such as the lack of being able to go directly to provide brochures with clients because the website and social media promotions are more dominant and rental prices are less competitive with competitors in other companies. The solution is an evaluation so that it can become a future benchmark for marketing strategies for renting office buildings at the BRIPens PT Tower Branch Office. Leads Property Service Indonesia using the SWOT method. In essence, the SWOT method is a field of science that uses reasoning about the environment's internal strengths and weaknesses and also external opportunities and threats, then calculated using IFAS or EFAS using variables from these 4 parameters.

Waterpark Matua is one of the land use objectives that can generate development attraction as a water recreation destination that offers the potential attraction of a beautiful natural panorama because it offers a view consisting of plantations and rocky hills surrounding the tourist area so that it has a beautiful and exotic photo spot. This study aims to determine the characteristics of visitors, what factors affect the attractiveness of visitors, and the growth rate factor of future visitor attraction using the furness method. This research was conducted for 2 months with questionnaire data collection, and processed using the SPSS 24 application. The results showed that the characteristics of visitors according to gender showed that most visitors were female based on a percentage of 66%, age 11-20 years with a percentage of 38%, most visitors from the Alla, Anggeraja, Curio districts with a percentage level of 38%, Students with a percentage level of 47%, the most visitors' transportation mode is motorbike with a percentage level of 70% and the movement attraction model with multiple linear regression analysis method is Y = 2.839 + 0.340 (x1) - 0.473 (x2) + 0.196 (x3) - 0.228 (x5) + 0.190 (x9) + 0.419 (x12). Factors that influence the occurrence of attraction are variables of home distance (x1), transport costs (x2), length of travel time (x3), destination to tourist attractions (x5), food prices (x9), and building conditions (x12). The growth rate factor from the analysis results using the Furness method obtained a growth factor value of Ed = 0.9897 which has met the requirements of the error tolerance limit, with an expected visitor attraction value of Dd = 3214.

Salah satu bentuk dari pemanfaatan kemajuan teknologi berupa penerapan aplikasi web menggunakan web server untuk berbagi informasi, memberikan layanan, dan menyimpan data. Dibalik kemudahan dalam penggunaan aplikasi web yang dapat diakses darimana pun, terdapat risiko ancaman keamanan siber yang cukup besar dimana aplikasi web dapat menjadi target serangan oleh penjahat siber yang ingin mencuri informasi sensitif atau mengambil alih sistem. Masalah keamanan tersebut dapat diatasi dengan pendekatan reaktif yaitu penerapan sistem keamanan yang mampu mendeteksi dan menganalisa insiden keamanan pada aplikasi web secara cepat dan efektif. Salah satu solusi yang dapat digunakan adalah dengan mengimplementasikan Security Information and Event Management (SIEM). SIEM adalah sistem yang dapat digunakan untuk mengelola log yang dihasilkan dari berbagai sumber data seperti endpoint, perangkat jaringan, maupun firewall, Salah satu aplikasi SIEM yang bersifat open source dan dapat digunakan untuk deteksi serta analisa insiden serangan siber adalah Wazuh. Wazuh adalah perangkat lunak open source yang berfungsi sebagai sistem deteksi berbasis host (endpoint) yang menyatukan kemampuan XDR (External Data Representation). Metode yang digunakan dalam penyelesaian masalah tersebut menggunakan metode Eksperimental, ada 5 tahapan dalam metode eksperimental ini yaitu analisis kebutuhan, desain, implementasi, pengujian, evaluasi. Hasil dari pengujian tersebut dapat di deteksi oleh Wazuh sebagai SIEM untuk memonitoring keamanan server dan deteksi penyerangan.

Pada proses penilaian penentuan RT Terbaik mengalami kesulitan karena biasanya penilaiannya hanya berdasarkan pengamatan lingkungan saja, sehingga mengakibatkan dalam penilaian untuk menentukan RT terbaik tidak tepat sasaran sehingga menimbulkan permasalahan pada wilayah tersebut. Dari permasalahan tersebut diatas maka perlu adanya sistem iformasi pendukung keputusan untuk menentukan lingkungan RT Terbaik dengan berbagai indicator penliaan, sehingga dalam proses penentuan RT terbaik bisa tepat sasaran, maka perlu adanya Sistem Informasi Pengambilan Keptusan dalam menentukan Lingkungan Rukun Tetangga ( RT ) Terbaik dengan Metode AHP.

The purpose of this study was to analyze the relationship between service recovery, switching barriers and brand image variables on purchasing decisions. The independent variables analyzed in this study are service recovery, switching barriers and brand image variables. The dependent variable analyzed in this study is the purchase decision.                             The sample used in this study consisted of 100 respondents who are permanent employees. Sampling was carried out by purposive sampling method by distributing questionnaires. Data analysis in this study used SPSS data processing software version 21. Data analysis in this study used validity and reliability tests, classical assumption tests, multiple linear regression tests and tests. The results showed that the service recovery variable had a positive and significant effect on purchasing decisions, while the switching barrier variable had a positive and significant effect on purchasing decisions and the last result was that brand image variable had a positive and significant effect on purchasing decisions.

This study aims to test and analyze the influence of product quality, service quality, price, location and product innovation on the purchase decision of Martabak Favorite Pak Man in Sumpiuh District, Banyumas Regency, Java Jengah Province. Data collection was carried out with a data questionnaire using a likert scale of 5 options. Populasi dati this study is the buyer of mr. man's favorite martabak in sumpiuh district of Banyumas regency, Central Java Province, which numbers 96 people. Technical sampling using Accidental sampling is a direct sampling technique for this type of research data that can be done with easy and convenient steps by not getting into difficulties even if done accidentally or by chance. Data collection techniques use questionnaires and observations. The method used in analyzing the data is multiple linear regression analysis which includes the T test and F Test or Model Feasibility which previously the data was tested first with validity tests, reliability tests, and classical assumptions, classical assumption tests consisting of multicollinearity tests, heteroscedasticity tests and normality tests with the help of the SPSS program. The results showed that product quality had a significant effect, service quality had a significant effect, price had a significant effect, location had a significant effect and product innovation had a significant effect on the purchase decision of Mr. Man's favorite Martabak in Sumpiuh District, Banyumas Regency, Central Java Province

The purpose of this study was to determine the effect of product quality, price perception, and brand image on purchasing decisions and to find out the indicators that influence these variables in PRODUCT QUALITY ANALYSIS, PRICE PERCEPTION AND BRAND IMAGE ON PURCHASE DECISIONS OF VIT BRAND DRINKING WATER IN VILLAGES BANJARNEGARA GRIPIT.                 The independent variables in this study are product quality, perceived price and brand image. The dependent variable in this study is the Purchase Decision using the Reo Purba formula in selecting the sample used based on chance encountered or whoever the researcher sees as suitable as a data source, namely 100 respondents.                The method used in analyzing the data is multiple linear regression analysis which includes the t test and f test where previously the data was tested with validity, reliability and classic assumption tests, for the classical assumption test consisting of multicollinearity tests, heteroscedasticity tests and normality tests with SPSS program assistance. The results of the study show that product quality has a significant effect, price perception has a significant effect, brand image has no significant effect on purchasing decisions for bottled drinking water with the VIT brand in the village of Gripit, Banjarnegara.  

This research aims to analyze customer satisfaction at the UD.Rini Mulyo material store. This research uses service quality, price and promotion variables as independent variables. Sampling was carried out using Accidental Sampling, obtaining 100 respondents. The data collection method uses a questionnaire given to customers who visit and make transactions at the UD.Rini Mulyo material store. The data analysis technique in this research uses multiple regression analysis which is processed using the SPSS 21 program. The results of the research show that the customer satisfaction variable for the UD.Rini Mulyo material store is influenced by 37.1% of service quality, 29.3% of price and 7.8% of promotions. Overall the independent variables have an influence of 87.2% and the remaining 12.8% is influenced by other variables not found in this research.

This study aims to analyze learning difficulties in Bahasa Indonesia among 4th grade students at SDN Margamulya VI Bekasi. The researcher employed a qualitative research method for this study. The instruments used were questionnaires and interviews. The research was conducted at SDN Margamulya VI among 4th grade students in the academic year 2024/2025.The findings of this study indicate that the learning difficulty in Bahasa Indonesia experienced by the 4th grade students at SDN Margamulya VI is related to the understanding of paragraph types according to their positions. Factors influencing these difficulties include the students' inability to grasp the abstract concepts of the material.

Cats (Felis catus) are a type of carnivorous mammal from the Felidae family that was domesticated and has been one of the animals that has mingled with humans since time immemorial. Domestic cats are broadly divided into 2 types, namely village cats and purebred cats. Purebred cats have quite a varied number of types. Therefore, confusion often occurs in determining the type or breed of cat. Meanwhile, in practice, each race does not have the same treatment (especially in the aspect of care). In digital image processing, Machine Learning and Deep Learning are the main aspects in the process of applying technology that can overcome this problem, so research related to this problem was designed. This research was conducted to add insight for further research in a more sophisticated and effective image recognition process. In the experiments carried out in this research, the SVM, KNN, and CNN methods were tested with the Xception and EfficientNet-B1 architectures. Based on the final results obtained from this test, the CNN method with the Xception architecture is the best model. By using fine-tuning and a learning-rate of 1e-5, this method produces a micro average value of 0.974, on a cat breed image dataset of 13 classes and 7800 images. Meanwhile, the method that produces the fastest ETA Training and Testing is obtained by the KNN method, with an ETA Training time of 0.194 seconds, and an ETA Testing time of 1.782 seconds.      

This research was carried out with the aim of finding out how to calculate Trend  Analysis (Index Number Series Analysis) in PT Timah Tbk financial reports and how to explain the results of calculations using Trend Analysis (Index Number Series Analysis). The research approach uses a quantitative type using secondary data collected using documentation and literature study methods. By analyzing financial report data at PT Timah Tbk. The technique for collecting secondary data is carried out using documentation techniques. namely by collecting company financial reports from December 31 2020. 2021. 2022. 2023 and March 31 2024. Data is collected from the official IDX website. namely (www.idx.co.id) by downloading . The research results show that the financial trend analysis of PT Timah Tbk from 2020 to 2024 shows significant changes in various aspects of the company's finances. PT Timah Tbk succeeded in increasing its total equity. major challenges in maintaining revenue and cost efficiency led to a decrease in overall profitability. In research. researchers have an interest in time and knowledge. which results in less comprehensive research results and obtaining limited information.

PT Astra International BMW Semarang operates in the automotive sector, focusing on sales, aftersales, and spare parts for BMW cars. The availability of spare parts is crucial for customer satisfaction, as stock shortages can lead to disappointment. Using data from 52,162 spare parts sales transactions from January 2019 to June 2023, the study applies data mining techniques with the a priori and eclat algorithms to identify consumer purchasing patterns and prevent stock shortages. The research aims to provide recommendations for prioritizing spare parts stock. Utilizing the CRISP-DM methodology and R programming, the study found that the highest confidence in purchasing patterns occurs with a combination of three itemsets: if a customer buys an oil filter set (B11.42.8.593.186) and washer cleaner (B83.12.5.A1A.683), they will also buy BMW engine oil (Z99000000333) with 100% confidence. These findings can help PT Astra International BMW Semarang manage spare parts stock more effectively.

Pada tahun 2024, Indonesia akan menyelenggarakan pemilihan umum serentak yang meliputi pemilihan presiden dan pemilihan wakil rakyat di seluruh Indonesia. Masyarakat menanggapi kejadian ini dengan perasaan campur aduk, membagikan pemikirannya di situs media sosial seperti Twitter. Penelitian analisis sentimen calon presiden Indonesia tahun 2024 dilakukan terkait peristiwa ini. Sebanyak 1458 tweet digunakan dalam penelitian ini. Dengan 40,31% responden menyatakan sikap positif dan 43,46% menyatakan sentimen negatif, temuan analisis menunjukkan keseimbangan antara kedua sentimen tersebut. Menggunakan frasa "calon presiden," program Python di situs web Google Colab mengambil data twitter. Pendekatan K-Nearest Neighbor digunakan dalam proses klasifikasi. Selain itu data latih dibagi 6 : 4. 40% data uji dan 60% data latih. Nilai evaluasi yang diperoleh dari pengujian model dengan teknik K-Nearest Neighbor adalah akurasi sebesar 90,95%, presisi sebesar 62,17%, recall sebesar 62,33%, dan F-Measure sebesar 61,87%.

Science and technology have developed along with human development in this universe. The history of human civilization requires efforts to manifest values ​​within the scope of their own perspective. The above facts can be proven with strong support for the purposes of science and technology itself, these are values ​​and include cultural views formed by humans themselves.

Pengkajian ini bertarget guna menganalisa strategi pemasaran yang diterapkan oleh UMKM Kedai Kita untuk mengembangkan pemasaran serta persaingan. Pengkajian ini bermetode studi kasus secara berpendekatan kualitatif, di mana data dihimpun dari wawancara mendalam, analisa dokumen serta observasi. Perolehan pengkajian menampilkan bila Kedai Kita menerapkan strategi pemasaran yang berfokus pada pemanfaatan word of mouth marketing, kualitas produk, serta pelayanan pelanggan. Selain itu, Kedai Kita juga konsisten menjaga kualitas produk dan memberikan pelayanan yang ramah dan cepat sebagai nilai tambah. Tantangan yang dihadapi dalam implementasi strategi ini antara lain adalah persaingan yang ketat dengan usaha sejenis dan keterbatasan sumber daya. Oleh karena itu, Kedai Kita diharapkan dapat terus berinovasi dalam strategi pemasaran dan memperkuat hubungan dengan pelanggan untuk mempertahankan dan meningkatkan pangsa pasar.

In the era of rapid digitalization, understanding consumer behavior through data is becoming increasingly important for retail businesses. Shopping trends, such as those contained in this study, provide in-depth insights into various aspects of consumer behavior, from demographics to purchasing preferences and patterns of discount usage. This data is invaluable in formulating effective marketing strategies, improving customer experience, and optimizing business operations. The data used in this study included a variety of relevant variables, such as age, gender, location, product categories purchased, number of purchases, payment methods, and frequency of purchases. This information allows for a comprehensive analysis of how these factors affect consumer spending decisions. For example, analytics can reveal seasonal trends in purchases, product color and size preferences, and the impact of discounts and promo codes on sales volume. In addition, this dataset also reflects the changes in consumer behavior that have occurred over the past few years. Quantitative methodology is a research approach used to collect and analyze numerical data to understand patterns, relationships, and events in a given population. Data is collected from various sources such as online sales transactions, consumer surveys, Naive Bayesian algorithms are applied to the dataset that has been processed. The data was divided into two sets: training (80%) and testing (20%).    

Control chalrts alre one of the most widely used quallity interpretaltion tools to determine whether al process is within control limits or whether the calpalbility of al process is within the expected limits alnd criterial. In every production process problems alre often found such als product rejects alnd product defects. Control chalrts caln be used to monitor current alnd ongoing production processes. Observaltions were malde alt the Wilis Valn Jalval coffee industry localted in Kalre District, Maldiun Regency with robustal coffee types. The method used in this observaltion is descriptive with al qualntitaltive alpproalch through observaltion, interviews alnd documentaltion. The technique used in daltal alnallysis is using al P-chalrt. The alnallysis results show thalt coffee defects alccount for 1l0l% of the totall ralw malterialls used. To alchieve optimall production levels, compalnies must paly alttention to detalils thalt caluse production defects to optimize revenue alnd reduce loss falctors.

Rohingya in Indonesia has become trending conversation on social media. Sentiment analysis can get public responds. Big data makes the problem time efficiency labeling process, therefore the lexicon dictionary is needed for the labeling process. Data is growing and circulating very rapidly so it takes a fast and efficient time. Although it is fast and makes it easier to solve problems, it is still necessary to question the accuracy produced when using the lexicon labeling. A comparison of the labeling process between the InSet lexicon and the VADER lexicon was conducted to determine the accuracy of the labeling. It was done by combining lexicon with machine learning method of support vector machine and TF-IDF weighting and accuracy result calculated using confusion marix. Data from social media X as many as 9117 lines and labeled with InSet lexicon result 5241 negative sentiments, 1369 positive, and 521 neutral. Then the labeling results with VADER produced 2749 positive, 2523 negative, and 1881 neutral. After labeled, processed SVM and calculated accuracy with results of InSet lexicon accuracy having an average of 85.8% while the VADER SVM lexicon has an average of 82.65%.  

Grha Kedoya Hospital in West Jakarta faces significant challenges in document management, including medical records, financial reports, and administrative documents. This study aims to analyze the document storage system in the Secretariat Unit of Grha Kedoya Hospital using the User Acceptance Testing (UAT) method. The results show that the security, functional, and non-functional aspects of the document storage system are rated very well by respondents, with average scores of 80.4%, 81.4%, and 76.4% respectively. Despite challenges in transitioning to a digital system such as staff adaptation and infrastructure investment, the majority of respondents support this change to enhance efficiency and security. The UAT method proves effective in identifying the system's strengths and weaknesses, providing constructive feedback for improvement.

Tanjung Jati B Unit 3 & 4 Steam Power Plant (PLTU) is a steam power plant that uses coal as fuel. Burning coal produces exhaust emissions containing sulfur dioxide (SO2) which is dangerous for the environment. To overcome this, PLTU Tanjung Jati B Units 3 & 4 uses Flue Gas Desulphurization (FGD) to reduce SO2 emissions. This research aims to analyze the factors that cause FGD failure in reducing SO2 emissions, formulate efforts to overcome FGD failure and improve its performance, and develop a method for evaluating the effectiveness of FGD in reducing SO2 emissions. The research method used is literature study, primary data collection through observation and interviews, and data analysis. The research results show that the factors that cause FGD to fail in reducing SO2 emissions are blockage of the spray pipe and header pipe, blockage of the tray, and a decrease in the performance of the booster fan and absorber recirculation pump. The method for evaluating the effectiveness of FGD in reducing SO2 emissions is by analyzing de-Sox efficiency, flue gas flowrate and temperature, pressure drop, and ARP discharge pressure. Keywords: PLTU, FGD, SO2 emissions, de-Sox efficiency, flue gas flow rate, pressure drop, ARP discharge pressure. The method for evaluating the effectiveness of FGD in reducing SO2 emissions is by analyzing de-Sox efficiency, flue gas flowrate and temperature, pressure drop, and ARP discharge pressure.