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ANALISA PENGARUH TINGKAT SUKU BUNGA, INFLASI, KURS, DAN JUMLAH UANG BEREDAR TERHADAP VOLUME PERDAGANGAN SAHAM PADA LQ-45 Fera Yuliana; Errin Yani Wijaya; Haryetti '
Jurnal Online Mahasiswa (JOM) Bidang Ilmu Ekonomi Vol 1, No 2 (2014): wisuda oktober 2014
Publisher : Jurnal Online Mahasiswa (JOM) Bidang Ilmu Ekonomi

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

Abstract

The capital market is one of investment alternative that able to yield optimal advantage for investor. Each investor is requiring of relevant information with transaction development in stock. This is very important to be made in consideration in compiling strategy and decision making of investment in capital market. The objectives of this research to analyze the influence of interest rate, inflation, exchang rate, and money supply to volume of stock trading on LQ-45 that listed on BEI in 2009-2012 periods.This research using time series data from IDX Statistic ICMD (Indonesian Capital Market Directory) and Indonesian Bank monthly published on BEI in January 2009 until December 2012. Population in this research is all company which included on LQ-45 that is 45 companies and number of samples 16 companies by passing phase purposive sample. Analyze technique to use in this research is multiple linier regression to obtain describe which totally regarding relationship between one variable with other variable. And use aplication Statistical Package For Social Sciences (SPSS) Statistics 21 program. The result of this reseacrh shows that interest rate variable has a negative and not significant to volume of stock trading, while inflation variable has a positive and not significant to volume of stock trading intrading, exchang rate and money supply variable has a negative and significant to volume of stock trading on LQ-45.Result of Adjuts R SquareKeywords : Volume of Stock Trading, Interest Rate, Inflation, Exchange Rates, Broad Money
USE AND UTILIZATION OF VILLAGE INFORMATION SYSTEM TO MAXIMIZE POPULATION AND ADMINISTRATIVE DATABASES IN PLOSOBUDEN VILLAGE LAMONGAN REGENCY eko; Sugianto; Erly Ekayanti Rosyida; Pipit Sari Puspitorini; AH. Hasan Bashori; Fera Yuliana
IJCDE (Indonesian Journal of Community Diversity and Engagement) Vol. 3 No. 2 (2023): Vol. 3 No. 2 , 2023
Publisher : LEMBAGA PENELITIAN, PENGABDIAN PADA MASYARAKAT, PENINGKATAN AKTIVITAS INSTRUKSIONAL, PENINGKATAN DAN PENJAMINAN MUTU UNIVERSITAS ISLAM MAJAPAHIT

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36815/pengabdian.v4i1.2487

Abstract

Weak archiving systems, correspondence related to services to village communities and the lack of village government regarding population and population data, so this service has the goal of developing Plosobuden Village a village website to facilitate archiving and population administration. The method carried out in the service process is carried out in several stages, namely location surveys, maturation of concepts in the internal service team, asking for input and criticism of village web creations to village officials, finalizing village web concepts and contents internally for the service team, training and assistance in village web operations. to village officials and evaluation. The results of the service show that village officials are very enthusiastic about the village web to facilitate archiving in terms of correspondence and population data archiving. The results of the evaluation are the lack of basic population input data so that the use of the village web cannot be maximized.
Supervision in Improving the Quality of Educational Administration at SMAN 2 Rejang Lebong Yuliana, Fera; Warlizasusi, Jumira; Harahap, Emmi Kholilah
AL-IDARAH: JURNAL KEPENDIDIKAN ISLAM Vol 12 No 1 (2022): AL-IDARAH: JURNAL KEPENDIDIKAN ISLAM
Publisher : Universitas Islam Negeri Raden Intan Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24042/alidarah.v12i1.11973

Abstract

The objective of this paper was to obtain information about supervision in improving the quality of educational administration at SMAN 2 Rejang Lebong. Supervision was carried out for improving the quality of educational administration where the principal of SMAN 2 Rejang Lebong supervised the teachers, especially for the educational administration. Improving the quality of educational administration needed to be carried out to improve the quality of learning in a programmed and planned manner. The principal of SMAN 2 Rejang Lebong supervised every beginning of each semester and at least once per semester. The main procedure taken by the principal of SMAN 2 Rejang Lebong as a supervisor was to make direct observation with the aim of obtaining data objectively, so that the data obtained can be used to analyze the difficulties faced by the teachers. This research used quantitative methods which produced several findings through several statistical procedures or other methods of quantification (measurement). The supervision carried out by the principal could not be separated from coordinating all efforts in the school environment which included: every teacher's effort to self-actualize and participate in improving school activities. Therefore, it was necessary to have directed coordination to support the whole program.  
Analyzing Potential Rice Harvest Area in Mojokerto Regency in 2021 Using Area Sample Framework (ASF) Nugroho, Moh. Alfian; Yuliana, Fera; Sholikhan, Arief Krisnah; Rosita, Yesy Diah
Enthusiastic : International Journal of Applied Statistics and Data Science Volume 3 Issue 2, October 2023
Publisher : Universitas Islam Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20885/enthusiastic.vol3.iss2.art3

Abstract

The agricultural sector is crucial for achieving SDG 2, addressing hunger, ensuring food security, and promoting sustainable agriculture. This study applies the Area Sample Framework (ASF) to estimate rice harvest yields in Mojokerto Regency, emphasizing the importance of accurate agricultural data for effective policy formulation and SDG support. ASF utilizes square segment-based sampling units to provide potential rice harvest area data. However, research on the accuracy of ASF-derived data, especially for predicting the next year’s rice harvest, is limited. This study evaluates ASF data accuracy for 2019, 2020, and 2021 using three key metrics: Mean Absolute Error (MAE), Root Mean Square Error (RMSE), and Mean Absolute Percentage Error (MAPE). Results show varying accuracy each year. In 2019, MAPE was 91%, with MAE and RMSE around 2,714.75 ha and 15,463,954.79 ha, indicating high accuracy. Conversely, in 2021, MAPE rose to 107%, with MAE and RMSE near 2,680.09 ha and 14,677,241.22 ha, revealing lower prediction accuracy. This study underscores the importance of continuous monitoring and enhancing data accuracy to support sustainable agriculture and food security, especially in regions like Mojokerto Regency. Further research should investigate factors affecting harvested area efficiency and ways to improve prediction accuracy for effective SDG implementation.