4272 research outputs found
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Analisis Pengaruh Struktur Modal, Likuiditas, Pertumbuhan Aset terhadap Profitabilitas Perusahaan Property dan Real Estate yang Terdaftar di Bursa Efek Indonesia Tahun 2018-2022
No full textThis study aims to determine and analyze the effect of capital structure, liquidity, asset growth on profitability. This study takes objects in Property and Real Estate companies listed on the Indonesia Stock Exchange (IDX) for the period 2018-2022. The population in this study were 92 Property and Real Estate companies, while the sample was obtained using purposive sampling method based on predetermined criteria, so that a sample of 12 Property and Real Estate companies was obtained. The dependent variable in this study is Return on Asset, while the independent variables are Debt to equity ratio, current ratio and Asset Growth. The data analysis method uses multiple linear regression analysis, F test, t test and the coefficient of determination which is tested using the classical assumption test. The results of this study indicate that simultaneously Debt to Equity ratio, Current Ratio and Asset Growth have a significant effect on Return on Asset in Property and Real Estate companies for the period 2018 2022. Partially, Debt to Equity Ratio have a significant negative, Current Ratio and Asset Growth have a significant positive effect on Return on Asset
Pengaruh Profitabilitas, Likuiditas, dan Ukuran Perusahaan terhadap Nilai Perusahaan (Studi pada perusahaan Food & Beverage yang Terdaftar di BEI 2018-2022)
No full textThis study aims to determine and analyse the effect of profitability, liquidity and company size on firm value. This research takes objects in food and beverage companies listed on the Indonesia Stock Exchange (IDX) for the period 2018-2022. The population in this study were 35 food and beverage companies, while the sample was obtained using purposive sampling method based on predetermined criteria, sothat a sample of 21 food and beverage companies was obtained. The dependent variable in this study is firm value, while the independent variables are profitability, liquidity, and company size. The data analysis method uses multiple linear regression analysis, F test, t test and the coefficient of determination which is tested using the classical assumption test. The results of this study indicate that simultaneously profitability, liquidity and company size have a significant effect on firm value in food and beverage companies for the period 2018-2022. Partially profitability and liquidity have a significant positive effect on firm value while company size has a significant negative effect on firm value
Analisis Pengaruh Kecepatan Putaran Cetakan dan Temperatur Peleburan Pengecoran Sentrifugal Terhadap Kekerasan dan Struktur Mikro Aluminium 6061
Full text linkPengecoran logam adalah proses pembuatan komponen dengan cara melelehkan logam dan menuangkannya ke dalam cetakan, yang kemudian dibiarkan mendingin dan mengeras.
Penelitian ini menggunakan metode pengecoran sentrifugal, di mana cetakan diputar sehingga gaya sentrifugal menyebar logam cair ke tepi cetakan tanpa menggunakan inti. Bahan yang
digunakan adalah aluminium 6061 dengan variasi putaran cetakan antara 400 rpm, 800 rpm, dan 1200 rpm pada suhu peleburan aluminium sebesar 800℃. Selain itu, variasi suhu peleburan juga dilakukan pada 800℃, 900℃, dan 1000℃ dengan putaran cetakan tetap pada 800 rpm. Hasil
pengujian kekerasan menunjukkan peningkatan seiring dengan peningkatan putaran cetakan, dari 93,8 HRH pada 400 rpm, 95,6 HRH pada 800 rpm, hingga 96,5 HRH pada 1200 rpm. Sedangkan pada variasi suhu peleburan, kekerasan meningkat dari 97,1 HRH pada 800℃, 96,7 HRH pada 900℃, hingga 96,1 HRH pada 1000℃. Selanjutnya, pengujian struktur mikro dilakukan dengan metode planimetri, menghasilkan ukuran rata-rata butir mikro. Ukuran butir mikro menunjukkan
kecenderungan berkurang seiring dengan peningkatan putaran cetakan, dengan ukuran rata-rata sebesar 90 µm pada 400 rpm, 65 µm pada 800 rpm, dan 45 µm pada 1200 rpm. Sebaliknya, suhu peleburan yang lebih tinggi menghasilkan butir mikro yang lebih besar. Terlihat bahwa semakin kecil ukuran butir mikro, maka kekerasan benda cor juga semakin tingg
The Effect of Teamwork and Organizational Commitment on Employee Performance
Full text linkThis research aims to analyze the effect of teamwork on employee performance, analyze the effect of organizational commitment on employee performance, and analyze the effect of teamwork and organizational commitment simultaneously on employee performance. The sample in this research was 100 employees of PT Telkom Indonesia. The data analysis technique uses multiple regression analysis. The results of the analysis show that teamwork influences employee performance. Organizational commitment influences employee performance. Teamwork and organizational commitment simultaneously influence employee performance
The Work Environment And Work Motivation On Employee Performance: What Is The Impact? (Case Study At The Manggarai Regency Livestock Service Office, Ruteng Ntt-Indonesia)
Full text linkEmployee performance is a description of the level of achievement of the implementation of an activity program or
policy in realizing the goals, objectives, vision and mission of the organization as outlined through the strategic planning
of an organization. The purpose of this study is to determine the influence of the work environment and work motivation
on the performance of employees of the Livestock Office of Manggarai Regency, East Nusa Tenggara. The sample in
this study was 50 employees who worked at the Ruteng Livestock Office, because all populations in this study were
sampled, the sampling method was using census sampling techniques. Data collection techniques using questionnaires,
interviews and documentation. The analysis techniques used are descriptive statistics, multiple linear regression,
classical assumption testing, and hypothesis testing. The results showed that the work environment did not affect
employee performance. While work motivation has a significant and positive influence on employee performance
Analisis Pengukuran Kualitas Layanan Website Beasiswa DISDIKBUD KALTIMPROV Menggunakan Metode Servqual
Full text linkAnalysis of Measuring the Service Quality of the Kaltimprov Disdikbud Scholarship Website is a process, planning, organizing and directing effort to fulfill all the wishes and needs of users so that delivery decisions can be balanced with the expectations of the users. With certain tools aimed at finding out whether the Kaltimprov Disdikbud Scholarship website has quality that is efficient and effective for its users.
In this research, the data collection method that will be used is a questionnaire and literature study which is the theoretical basis that will be used. The method that will be used is Service Quality at the East Kalimantan Province Education and Culture Service as a case study.
This research using the Service Quality method aims to measure the quality of web services at the East Kalimantan Province Education and Culture Service. The final result of this research is that using the Servqual method can produce Gap values from Perception and Reality in each variable
Efektivitas Penggunaan Media Sosial Instagram Sebagai Media Promosi Pada Aldyan Store and Travel
Full text linkThis research evaluates the effectiveness of using Instagram social media as a
promotional medium at Aldyan Store and Travel. In the digital era, Instagram has become a
strategic platform for marketing because of its visual and interactive features. Quantitative
research methods are used by collecting data through Aldyan Store and Travel customer surveys,
which measure effectiveness indicators such as the level of user engagement (likes, comments,
shares), increase in the number of followers, and the impact of promotions on purchasing
decisions. The research results show that Instagram is effective as a promotional medium. This
is evidenced by high user engagement on promotional posts as well as a significant increase in
the number of followers. Promotions via Instagram also have a positive influence on purchasing
decisions, with many respondents stating they were more interested in purchasing products or
services after seeing promotions on Instagram. In conclusion, Instagram is an effective
promotional media for Aldyan Store and Travel. It is recommended to continue utilizing
Instagram and optimizing its features to increase user engagement and attract more potential
customer
Penerapan Business Intelligence Dan Visualisasi Data Sanitasi Periode 2015-2023 Menggunakan Power Bi (Studi Kasus Pada Dinas Pekerjaan Umum Dan Perumahan Rakyat Kabupaten Malaka)
Full text linkTechnology called business intelligence is used to collect, examine and display relevant data to help people make better decisions. A problem that still exists in the Public Works and Public Housing Office of Malacca Regency, which is responsible
for the maintenance of sanitation data: the office still provides an overview of the state of sanitation in Malacca Regency using manual techniques. The purpose of this research is to apply Power BI for data visualization and implementation of
Business Intelligence (BI) system on sanitation data of Malacca Regency from 2015 to 2023. This research method consists of several stages, namely collecting data from relevant sources (primary data from field surveys and secondary data from
annual reports), analyzing data, and cleaning data to ensure data quality. The findings show that BI and Power BI data visualizations can provide a clear and complete picture of the condition of the sanitation system in Malacca District. The
resulting data visualizations make it easy to identify places with limited access to sanitation, analyze variables that affect sanitation conditions, and track progress over time. The planning and implementation of sanitation improvement projects is aided by the strategic decision-making provided by these data visualizations. By supporting initiatives and policies aimed at improving sanitation standards, this application provides added value. Recommendations from this study include creating a more complete and durable BI system and teaching staff members how to run and use BI and Power BI efficientl
Rancang Bangun Website Brv Tour & Travel Menggunakan Metode Waterfall Simplisius Ignasius Kodo Losa
Full text linkWith the digital era, travel entrepreneurs are competing to create a ticket booking website that is easy to use. This research focuses on the web-based ticket booking information system at Brv Tour and Travel. The study aims to simplify the ticket booking process for users and make it easier for the admin to manage data through the admin dashboard. By creating an easy-to-understand booking system, it will make customers happy because they don’t need to spend a lot of time just to book travel tickets. Admins also won’t have to bother responding to individual chats from customers regarding ticket booking
Perbandingan Metode K-Nearest Neighbor (Knn) Dan Naïve Bayes: Klasifikasi Resiko Diabetes (Studi Kasus Posbindu Desa Bulupitu Kabupaten Malang)
Full text linkDiabetes mellitus is among the fastest-growing health problems in the 21st century. One of the causes is the lack of public awareness for regular health check-ups, while the lifestyle they lead is generally unhealthy. The hemoglobin A1c (HbA1c) test is highly recommended for detecting diabetes, but this service is not yet available at the Posbindu in Bulupitu Village. Therefore, an alternative approach is needed to detect the risk of diabetes early, using data mining. The data mining methods used in this study are the Naïve Bayes and k-Nearest Neighbor (kNN) classification methods. The variables used to determine diabetes risk include gender, age, family history of diabetes, frequent urination, Body Mass Index (BMI), blood sugar level, and the output of diabetes risk. The dataset was split for testing and training using cross-validation and various ratios (60:40, 70:30, 80:20, and 90:10). The best accuracy for the Naïve Bayes method was obtained with a k-fold cross-validation split of 2, yielding 96.1%. Meanwhile, the best results for the kNN method were obtained with an 80:20 dataset ratio, with the Manhattan distance being the most effective distance calculation compared to Euclidean distance and Chebyshev distanc