Claim Missing Document
Check
Articles

Found 38 Documents
Search

Financial Literacy, Risk Perception, Overconfidence Moderated by Financial Education on Investment Decisions Pambudi, Titis Rena Siwi; Sudarno; Sabandi, Muhammad
Economic Education Analysis Journal Vol. 13 No. 2 (2024): Economic Education Analysis Journal
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/8x7g2419

Abstract

This study aims to determine: effect of financial literacy on investment decision making; effect of risk perception on investment decision making; effect of overconfidence on investment decision making; effect of financial education on strengthening financial literacy and risk perception on Investation decision. This research uses quantitative type with investors in Surakarta as population. The sample of 160 was taken using a non probably sampling technique. Data collection techniques used a questionnaire with a Likert scale of 1-5 points and a dummy variable with a value of 0 or 1, distributed via Google form. Validity test using Confirmatory Factor Analysis (CFA) and reliability test using Cronbach Alpha. The hypothesis was tested through Hierarchical Regression after a descriptive statistical test and classic assumption test were performed. The data were processed using SPSS 25 software. The results of the study proved that (1) there was a significant positive effect of financial literacy on investment decision making; (2) there was a significant positive effect on perceived risk on investment decision making; (3) there was a significant negative effect of overconfidence on investment decision making; and (4) financial education moderates financial literacy, risk perception, and overconfidence in investment decision making.
PERBANDINGAN HASIL PENGOMPOSAN MENGGUNAKAN METODE BATA TERAWANG DAN METODE OPEN WINDROW Ilham; Sumiyati, Sri; Sudarno
Jurnal Penelitian Pendidikan IPA Vol 11 No 2 (2025): February
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v11i2.8184

Abstract

Composting is a waste management process that converts organic material into humus that can be reused. Composting can be applied using several methods such as the open windrow method, this method is a way of making compost that will get sufficient aeration so that it will help the compost maturity process more quickly. The aim of this research is to compare the results of composting using the open brick method and open windrow based on chemical parameters. During the composting process, a different bioactivator was added to each compost, using two bioactivators, namely MoL and M-Bio, and periodic checks were carried out every three days during the six weeks of composting. Based on the comparison results, the C, P content and C/N ratio in the two methods produced content values ​​that were not significantly different, however, in the overlay brick method, the control compost was superior in terms of P content and C/N ratio. Meanwhile, the open windrow method has a consistent increase in C, P content and C/N ratio.
Motivation, Organizational Culture, and Organizational Commitment on Job Satisfaction and Teacher Performance at State Junior High School, Bangko Rokan Hilir, Riau Kersiati; Wijaya, Evelyn; Sudarno
Journal of Applied Business and Technology Vol. 4 No. 1 (2023): Journal of Applied Business and Technology
Publisher : Institut Bisnis dan Teknologi Pelita Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35145/jabt.v4i1.120

Abstract

This study aims to analyze the effect of motivation, organizational culture, and commitment on job satisfaction and teacher performance at SMP Negeri BangkoRohil, Riau. This study took a sample of 78 civil servant teachers at SMP Negeri Bangko District, Rohil, Riau. Data were collected by using a questionnaire or questionnaire and then statistically analyzed using smart PLS. The results of the hypothesis test state that work motivation have a positive and significant effect on job satisfaction but is not significant positive on teacher performance, organizational culture has a positive and significant effect on job satisfaction but is negative and not significant on teacher performance, organizational commitment has a positive and insignificant effect on teacher performance. But job satisfaction is negative and not significant on teacher performance, then job satisfaction has a positive and significant effect on teacher performance at SMP Negeri Bangko, Rohil District.
Leadership Style, Work Environment, and Compensation on Job Satisfaction and Teacher Performance Sriadmitum, Ike; Sudarno; Nyoto
Journal of Applied Business and Technology Vol. 4 No. 1 (2023): Journal of Applied Business and Technology
Publisher : Institut Bisnis dan Teknologi Pelita Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35145/jabt.v4i1.122

Abstract

This study aims to analyze the effect of leadership style, work environment, and compensation on job satisfaction and performance of state high school teachers in Tandun and Ujung Batu sub-districts. This research is quantitative research by distributing questionnaires to respondents. The population in this study were all public high school civil servant teachers in Tandun and Ujung Batu sub-districts. The sample selection technique uses the census method. The sample in this study amounted to 90 respondents. The data analysis technique used Structural Equation Modeling (SEM) PLS. The results of this study indicate that leadership style has no significant effect on job satisfaction, leadership style has no significant effect on teacher performance, positive and significant work environment on job satisfaction, the work environment has no significant effect on performance, compensation has no significant effect on job satisfaction, compensation does not significant effect on teacher performance, teacher performance has no significant effect on job satisfaction.
Emotional Intelligence, Workload, and Cyberloafing on Organizational Commitment and Performance of Teachers at the Pelalawan High School Level Nyoto; Sudarno; Priyono; Surikin; Renaldo, Nicholas
Journal of Applied Business and Technology Vol. 4 No. 2 (2023): Journal of Applied Business and Technology
Publisher : Institut Bisnis dan Teknologi Pelita Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35145/jabt.v4i2.129

Abstract

Schools as the spearhead of education are required to improve the quality and quantity of learning outcomes. The number of problems in schools certainly cannot be separated from the concern of students, teachers, and education staff in achieving the school's vision and mission. This study aims to analyze the influence of emotional intelligence, workload, and cyberloafing on organizational commitment and performance of Indonesian language teachers at the Pelalawan high school level. The population of this study was all Indonesian language teachers at the high school level in Pelalawan Regency as many as 61 samples. This study used descriptive analysis and PLS Structural Equation Model analysis. The results of this study indicate that emotional intelligence is positively significant to organizational commitment, but not significant to teacher performance. The negative workload variable is not significant to organizational commitment but the positive is not significant to teacher performance. The cyberloafing variable is significantly positive on organizational commitment and not significantly negative on teacher performance.
Klasifikasi Berita Bahasa Indonesia Dengan Menggunakan Metode K-Nearest Neighbor Dan Naive Bayes Komariah Kukum Manieh Nuryasin; Taswanda Taryo; Sudarno
Jurnal Ilmu Komputer Vol 3 No 1 (2025): Jurnal Ilmu Komputer (Edisi Juli 2025)
Publisher : Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

In the era of rapid development of information technology, the need for a news classification system is crucial to manage the increasing volume of information. This study aims to develop a news classification system in Indonesian into five main categories: Politics, Economy, Health, Security, and Poverty. The methods used include the K-Nearest Neighbor (KNN) algorithm and Naïve Bayes. The dataset consists of 2,000 news items obtained from Kaggle, with preprocessing stages including cleaning, tokenizing, normalization, and TF-IDF weighting. The evaluation was carried out through three data sharing scenarios: 70%-30%, 80%-20%, and 90%-10%. The results showed that the KNN algorithm achieved the highest accuracy of 89% in the 80%-20% and 90%-10% scenarios, while Naïve Bayes produced the best accuracy of 78.66% in the 70%-30% scenario. KNN proved to be more reliable for data with balanced category distribution, while Naïve Bayes required further adjustment, especially for underrepresented data categories. This research provides significant contributions to the development of an automatic news classification system, which can be implemented to improve user experience in accessing information.
KLASIFIKASI PHISHING URL PADA WEBSITE BERBASIS METODE ENSEMBLE Bahrul Ulum; Taswanda Taryo; Sudarno
Jurnal Ilmu Komputer Vol 3 No 1 (2025): Jurnal Ilmu Komputer (Edisi Juli 2025)
Publisher : Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

This study analyzes the performance of ensemble learning algorithms in detecting phishing URLs using the PhiUSIIL Phishing URL dataset. The three algorithms compared are CatBoost, XGBoost, and LightGBM. The research stages include data preprocessing, data division into an 80:20 train-test split, and performance evaluation based on accuracy, precision, recall, and F1-score metrics. The results show that XGBoost has the best performance with an accuracy of 97.54% and an ROC AUC of 93.05%, followed by CatBoost with an accuracy of 97.46% and an ROC AUC of 92.94%. LightGBM, although it has lower performance, still shows good results with an accuracy of 96.99% and an ROC AUC of 91.85%. The data cleaning process successfully improves efficiency by eliminating irrelevant attribute analysis. This study confirms that ensemble algorithms can be implemented for the development of more effective and accurate phishing detection systems. XGBoost is recommended as the primary algorithm in detecting phishing threats in cybersecurity applications, thanks to its ability to handle large and complex data.
Peningkatan Hasil Tangkapan Nelayan Melalui Rekayasa Alat Bantu Berbasis Kearifan Lokal di Pesisir Sambuli. Abdullah; Hasnia Arami; Muslim Tadjuddah; Syamsul Kamri; Naslina Alimina; Ahmad Mustafa; Indrayani, Indrayani; Sudarno
Jurnal Pengabdian Magister Pendidikan IPA Vol 8 No 4 (2025): Oktober-Desember 2025
Publisher : Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jpmpi.v8i4.13363

Abstract

This research aims to increase the catch of traditional fishermen in Sambuli Village, Kendari City, by introducing and utilizing fishing aids such as coconut shell fish aggregating devices and artificial bait (jigs). The service method used is participatory action research (PAR) with the stages of socialization, training, field practice, and evaluation and mentoring. The results of the service show that coconut shell fish shelters are effective in concentrating fish, thus increasing catch productivity, while artificial bait helps to extend fishing time and location. Fishermen successfully adopted this technology independently, resulting in reduced operational costs and increased revenue. The participatory approach has proven effective in empowering fishing communities while also preserving aquatic resources. This research provides an innovative model that can be replicated for the sustainable development of traditional fisheries in other coastal regions.