Abstract:This study aims to determine the effect of short-term and long-term macroeconomic factors on the financial performance of Islamic banking in Indonesia. The dependent variables in this study are Return on Assets (ROA), Financial…
nancial to Deposit Ratio (FDR) and Operating Costs of Operating Income (BOPO) as proxies of financial performance. While the independent variables are industrial production index (IPI), inflation, BI rate, composite stock price index (CSPI) and exchange rates. The analytical method used is Vector Error Correction Models (VECM). The data used in this study are monthly time series data from January 2010 - December 2015. The results of the study state that in the long term the influence of the Industrial Production Index (IPI), inflation and exchange rates have a negative and significant effect on Return on Assets ( ROA) and Financial to Deposit Ratio (FDR). Meanwhile, the BI rate and the Composite Stock Price Index (JCI) have a positive and significant impact on Return on Assets (ROA) and Financial to Deposit Ratio (FDR). Industrial Production Index (IPI), inflation and exchange rates have a positive and significant influence on the Operating Cost of Operating Income (BOPO). Meanwhile, the BI rate and the Composite Stock Price Index (JCI) have a negative and significant effect on the Operating Cost of Operating Income (BOPO). The short-term effect of macroeconomic variables on financial performance (ROA, FDR and BOPO) does not show a significant relationship.
Abstract:This paper aims to determine: 1) the Benefits of using organic fertilizers for soil fertility, and 2) Knowing about soil productivity as a medium for supporting plant growth. The research method qualitative approach, which…
ch is a scientific approach that produces descriptive data in the form of written words from the narratives of the sources or objects under study. The results of this research is that in the current era of globalization, organic is very important for the development of people who want to live healthily and without damaging the surrounding environment by utilizing natural materials or the remnants of kitchen waste. So farmers are expected to be more aware and creative in the use of organic fertilizers and it is hoped that farmers' income will also increase.
Abstract:Abstract: Sipaku Area Village currently has a population of 1963 family cards with a density of 7423 people divided into 8 hamlets. Villages can still register people who do not have an Indonesia Smart Card with the concerned…
erned office by recording the data on the people who have KPS, PKH or SKTM, to get the Indonesia Smart Card (KIP) program, because many people submit applications and there are many criteria that must be taken into account. faced by the Sipaku Area Village Head Office in determining the priority of potential KIP recipients is very difficult, not transparent and inefficient. Therefore, to overcome this problem, it is necessary to have a system for determining the priority of potential KIP recipients by adding some more basic criteria. In this study a decision support system was designed using the AHP (Analitycal Hierarchy Process) method. The results of calculations using the pairwise comparison matrix for the use of criteria show that the most important priority is shown in the status of an active applicant of 0.391, the second priority is the completeness of the files of 0.406, the third priority is the orphanage of 0.095, the fourth priority is parental income of 0.066, and the priority the fifth is a dependent of 0.041. Meanwhile, for alternative use, the data obtained is that the highest value weight determines the recipient of Smart Indonesia Card Assistance (KIP), namely Rizky Amelia Ritonga with a value of 0.171, the second alternative is Rangga Pranata with a value of 0.141 and the third alternative is Elva Radis with a value of 0.124.
Keywords: Smart Indonesian Card Recipients (KIP), AHP Method, PHP and MySQL.
Abstrak: Desa Sipaku Area yang sekarang ini mempunyai jumlah penduduk 1963 kartu keluarga dengan kepadatan 7423 jiwa yang terbagi dalam 8 Dusun. Desa tetap bisa mendaftarkan masyarakat yang tidak memiliki Kartu Indonesia Pintar ke Dinas yang bersangkutan dengan mendata masyarakatnya yang memiliki KPS, PKH atau SKTM, untuk mendapat program Kartu Indonesia Pintar (KIP), karena banyaknya masyarakat mengajukan permohonan dan banyak kriteria yang harus diperhitungkan, sehingga Kendala yang dihadapi oleh pihak Kantor Kepala Desa Sipaku Area dalam menentukan prioritas calon penerima KIP sangat sulit, tidak transparan dan tidak efesien. Oleh Karena itu, untuk mengatasi permasalahan tersebut perlu adanya sistem dalam menentukan prioritas calon penerima KIP dengan menambahkan beberapa kriteria yang lebih mendasar. Pada penelitian ini dirancang sistem pendukung keputusan menggunakan metode AHP (Analitycal Hierarchy Process). Hasil perhitungan menggunakan matrik perbandingan berpasangan untuk penggunaan kriteria menunjukkan bahwa prioritas yang paling utama ditunjukkan pada status Pemohon aktif sebesar 0.391, prioritas kedua yaitu Kelengkanpan Berkas sebesar 0.406, prioritas ketiga yaitu kondisi yatim piatu sebesar 0.095, prioritas keempat yaitu penghasilan orangtua sebesar 0.066, dan prioritas kelima yaitu tanggungan sebesar 0.041 Sedangkan untuk penggunaan alternatif diperoleh data yaitu bobot nilai paling tinggi menentukan Penerima Bantuan Kartu Indonesia Pintar (KIP) yaitu Rizky Amelia Ritonga dengan nilai 0.171, alternatif kedua Rangga Pranata dengan nilai 0.141 dan alternatif ketiga Elva Radis dengan nilai 0.124.
Kata kunci : Penerima Bantuan PIP, Metode AHP, PHP dan MySQL.