Analisis Segmentasi Klien Menggunakan K-Means Clustering Pada Agensi Kreatif Anoorapro

Pemanfaatan media sosial dalam pemasaran digital telah menjadi salah satu strategi utama bagi banyak perusahaan. Semakin banyak pengguna media sosial untuk berbisnis, agensi kreatif juga mulai menawarkan jasa mereka. Anoorapro merupakan sebuah agensi kreatif yang bergerak di bidang visual dan komunikasi kreatif. Karena klien Anoorapro semakin bertambah,pihakmereka ingin mendalami kebutuhan dan berencana untuk melakukan marketingkepadaklien. Oleh karena itu, segmentasi klien perlu dilakukan untuk memahami karakteristik dan kebutuhan para klien. Dengan pemahaman tersebut, pihak Anoorapro dapat terbantu untuk membuat strategi pemasaran yang lebih sesuaidan efektif. Dalam penelitian ini,clusteringakan menggunakan algoritma K-Means.Klien-klien tersebutakan dikelompokkan berdasarkan total anggaran, frekuensi dan recency. Untuk alur proses akan menggunakan metode SEMMA. Hasil dari penerapan Elbow methodmenunjukkan nilai k = 4, tetapi terdapat 3 clusteroutlieryang memiliki nilai bisnis tinggi sehingga tetap dipertahankan dan menghasilkan total 7 clusterclient. Ketujuh clustertersebut memberikan pemahaman bahwa diperlukan strategi pendekatan yang berbeda agar dapat meningkatkan kepuasan client dan efektivitas pemasara

Pengaruh Content Marketing dan Live Streaming Terhadap Keputusan Pembelian Skincare Skintific Pada E-Commerce Shopee

Developments results in internet technology lead to significant changes in societycurrently regarding consumer behavior in shopping which makes sellers changetheir sales and marketing systems to be more modern by using digital marketing,namely creating interesting content based on their desires, needs and followingcurrent trends, conducting live streaming as a form of long-distance interaction inorder to introduce and market its sales so that it can attract potential consumerswhich influence their purchasing decisions. The aim of this study is that todetermine the influence of content marketing and live streaming on purchasingdecisions for Skintific skincare on Shopee e-commerce. Data type in this study wasquantitative data which was processed by using mathematical formulas and inputon a statistical measurement scale. Furthermore, this study used primary dataobtained from distributing questionnaires via Google Form. The populations in thisstudy were people who purchase Skintific skincare products on Shopee e-commercewith an unknown number and the sample size were 140 respondents. The samplingtechnique used non-probability sampling while the sample determination techniqueused purposive sampling. Data analysis in this study used hypothesis testing thatwas the t test by using SPSS 16. The partial result of this study (t test) shows thatthe content marketing variable has a t-count value of 4.785 with a positive valuewith a significance result of 0.000 < 0.005. Therefore, it can be concluded thatcontent marketing has a positive and significant influence on purchasing decisionsfor Skintific skincare products on e-commerce Shopee. In addition, the researchresults for the live streaming variable have a t-calculated value of 5.503 which ispositive with a significance result of 0.000 <0.05. Thus, it can be concluded thatlive streaming has a significant positive influence on Skintific skincare purchasingdecisions on e-commerce Shopee

Penyusunan Laporan Keuangan Umkm Berdasarkan Sak Emkm (Studi Kasus Umkm Beauty X)

MSMEs (Micro, Small, and Medium Enterprises) are an important pillar in the Indonesian economy, contributing significantly to job creation and economic growth. SAK EMKM is designed to simplify and facilitate financial reporting for these small business entities. Financial reports in accordance with financial accounting standards have not been carried out by Beauty X. This study aims to conduct the application of accounting standards for micro, small and medium entities at Beauty X. The method used is quantitative using a case study approach. The data source used is primary data, namely conducting direct interviews with the owner of Beauty X. The results showed that Beauty X had not made financial records so that the profit generated was unknown and no depreciation calculations were made on the assets contained in Beauty X. The implementation of SAK EMKM, MSMEs is expected to increase financial transparency and accountability, facilitate access to financing, and strengthen competitiveness. The implementation of SAK EMKM is expected to help MSMEs manage finances more professionally and support the growth and sustainability of their businesses

Pengaruh Pelatihan dan Soft Skill Terhadap Kesiapan Kerja Pada Peserta di UPT Balai Latihan Kerja Tulungagung

This research aims to determine training and soft skills on work readiness ofparticipants at UPT BLK Tulungagung. In this research, researchers used quantitativemethods by processing data through questionnaires given to all participants at UPT BLKTulungagung. The sampling technique used was saturated sampling with a total of 48respondents who were participants. The data collection technique uses a questionnairedistributed via Google Form. Meanwhile, data analysis techniques were processed usingthe SPSS version 25 application. This analysis includes descriptive analysis tests, multiplelinear regression tests, validity tests, reliability tests, multicollinearity tests,heteroscedasticity tests, normality tests, t tests, and F tests.The results of data analysis show that training and soft skills simultaneously havea significant and positive effect on work readiness of participants at UPT BLK Tulungagung.Training has a significant and positive effect on work readiness because the significantvalue is 0.001 2.014 t table. Meanwhile, softskills have a significant and positive effect on work readiness because the significant valueis 0.022 2.014 t table. Training has a dominantinfluence on work readiness, meaning that the thing that can increase work readinessamong participants at UPT BLK Tulungagung is by improving better training

Komparasi Metode Mean dan KNN Imputation dalam Mengatasi Missing Value pada Dataset Kecil

Missing value pada dataset yang kecil akan mengakibatkan berkurangnya data yang dapat digunakan untuk pembelajaran sehingga prediksi hasil klasifikasi dari data tersebut akan berkurang. Metode Imputasi sebagai solusi metode yang paling umum digunakan untuk menangani masalah dataset yang tidak lengkap. Metode Imputasi proses di mana beberapa teknik statistik digunakan untuk mengganti data yang hilang dengan nilai pengganti. Tujuan penelitian ini dengan kinerja klasifikasi yang dapat dipertahankan dengan metode imputasi missing value, karena metode ini dapat menghindari berkurangnya jumlah dataset yang digunakan dalam proses klasifikasi pada dataset dan meningkatkan kinerja klasifikasi pada dataset yang tidak ideal terutama untuk jumlah dataset yang kecil. Berdasarkan hasil eksperimen yang telah dilakukan dari penelitian ini yaitu bahwa pengujian metode imputasi Mean dan KNN Imputation dengan metode klasifikasi mampu menangani data kosong dengan jumlah missing value sedikit maupun banyak dengan menghasilkan nilai accuracy mencapai kinerja prediksi yang lebih besar dibandingkan dengan menggunakan missing value nilai 0. Kemudian untuk dataset Hepatitis nilai Accuracy tinggi menggunakan metode imputasi KNN Imputasi dengan nilai 0,79 menggunakan metode Logistic Regression dan dataset Ginjal Kronis nilai Accuracy tinggi menggunakan metode imputasi Mean dengan nilai 0,97 dengan menggunakan metode Naïve Bayes. Hal tersebut menunjukkan bahwa proses metode imputasi terhadap nilai kosong di setiap column dataset kecil pada tahap data preprocessing memberikan pengaruh terhadap nilai Accuracy metode Mean dan KNN Imputation pada metode klasifikasi

Pengaruh Rekrutmen dan Seleksi Terhadap Kinerja Karyawan Pabrik Gula Meritjan Kota Kediri

It is now very much realized that the level of competition between companies and other companies is very tight. In this tight competition, companies are encouraged to manage more qualified human resources. Human resources are significant for companies because they can increase the effectiveness and efficiency of the company. To obtain qualified human resources, companies must carry out the recruitment and selection process of employees needed by the company properly. After the recruitment and selection stages are carried out by a company, employees who pass the recruitment and selection stages will be ready to be given responsibility in the company, and the next process will produce a performance produced by employees. This study intends to describe employee recruitment, selection, and performance, analyze the effect of recruitment and selection on employee performance, analyze the effect of recruitment on employee performance, and analyze the effect of selection on employee performance at the Meritjan Sugar Factory in Kediri City. This study uses a quantitative method. In measuring variables in this study, the use of a Likert scale was carried out by filling out a questionnaire designed in the form of a sentence statement. The data was analyzed using multiple regression analysis methods with a sample size of 70 permanent employees. The findings of the analysis show that the influence of recruitment and selection together has a positive and significant effect on employee performance, which means that increasing recruitment and selection will realize the achievement of company goals in terms of good employee performance. As expected by the Meritjan Sugar Factory in Kediri City, the influence of recruitment on employee performance has a positive and significant effect, and the influence of selection on employee performance has a positive and significant effect. At the Meritjan Sugar Factory in Kediri City, recruitment and selection have a significant effect on employee performance

Analisis Komparatif Pengujian Sensitivitas Keakuratan Penggunaan Metode Pengambilan Keputusan Profile Matching, Topsis dan Moora Dalam Menentukan Seleksi Karyawan Terbaik

Almost all large companies create a competitive employee selection system to select and reward their best employees in order to increase productivity, performance and employee motivation. However, unfortunately, there are many factors that cause problems in decision making, such as discrimination factors, the subjectivity of dominant information, etc. For this reason, a decision-making system method was created, but the more advanced the times, the more complex the development of the decision-making methods that have been discovered, this ultimately becomes a challenge in itself to choose which method is more accurate. This research was carried out to compare the Profile Matching, TOPSIS, and MOORA methods to determine their accuracy values by carrying out sensitivity testing. From the experimental results it was found that the Profile Matching method had the highest result A6 with a preference value of 4.77, on the other hand for the Topsis and Moora methods the highest results were obtained for the same alternative, namely A2 with a preference value of 6.84 and 20.34. The conclusion that can be drawn from the results of this research is that if it is based on using sensitivity testing, the Topsis method is a better method which produces the 2 lowest values out of 3 sensitivity tests, with a value of 0.55 for sensitivity 1 and 0.28 for sensitivity 3

Analisis Pengaruh Penggunaan Artificial intellegence Terhadap Proses Penyusunan Tugas Akhir Mahasiswa FTI

This research aims to examine the impact of artificial intelligence (AI) on the process of preparing FTI students' final assignments. Using quantitative methods, this research analyzes survey data collected from 30% of the total FTI student population. Data was analyzed using SPSS software to test the relationship between the use of AI and various aspects of final assignment preparation, including quality, efficiency and level of student satisfaction. The conclusion of this research is that AI has proven to be useful for all FTI Unmer students in completing their theses, especially in terms of finding notes and references, thereby increasing their chances of achieving satisfactory results

Sistem Pengendalian Persediaan Bahan Baku Air Minum Dalam Kemasan (Amdk) Pada Perum Jasa Tirta 1

This researcher aims to find out how the raw material inventory control system is inBottled Drinking Water (AMDK) Perum Jasa Tirta I. The inventory control system isa mechanism used by companies to manage their stock of goods. The goal is to ensurethat inventory is sufficient to meet customer demand without running out of stock.Having too many unsold items can increase storage costs. This research method usesa qualitative method by conducting interviews. The data source for this study is primarydata obtained from research interviews and observations. From the results of thisstudy, it can be concluded that the results of the raw material inventory control systemare still simple, namely if the number of orders is greater, the company will make moreinventory, and vice versa if the order is small, the company will reduce inventor