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All Journal Sosio e-kons JABE (Journal of Applied Business and Economic) STRING (Satuan Tulisan Riset dan Inovasi Teknologi)
Indra Suyahya
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Computer Science & IT Economics, Econometrics & Finance Education Mathematics Social Sciences

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KELEMBAGAAN USAHA MIKRO KECIL DAN MENENGAH DAN PEMBANGUNAN EKONOMI MASYARAKAT Indra Suyahya
JABE (Journal of Applied Business and Economic) Vol 1, No 1 (2014): JABE
Publisher : UNIVERSITAS INDRAPRASTA PGRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (206.692 KB) | DOI: 10.30998/jabe.v1i1.1361

Abstract

Generally the number of entrepreneurs reached 3,75 million as per January 2012 or 1,56 percent of the total population of Indonesia. In 2010, there were still 0,24 percent while the Government is targetting the ratio of the number of entrepreneurs in Indonesia could reach 2,50 percent in 2013.Once problem to increase Small and Medium Enterprise is about the SME Institutional. By using descriptive methods and use the secondary data, research was designed to answer the following research problem:bureauctic system, capital problem, networking and ma rke tin g problem and also human resources capability to manage business unit . The result of study showed that there is a lo t of issues related to SME development and the cooperation on an SME institutional involving all related agencies needed to devel op s mall and medium enterprises and also give economic impact on the community reinforcement.
Prediksi Kurs Rupiah Terhadap Dolar Amerika Menggunakan Metode Fuzzy Time Series Chen dan HSU Wulan Anggraeni; Indra Suyahya
STRING (Satuan Tulisan Riset dan Inovasi Teknologi) Vol 1, No 1 (2016)
Publisher : Universitas Indraprasta PGRI Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1707.937 KB) | DOI: 10.30998/string.v1i1.965

Abstract

Tujuan dari penelitian ini adalah untuk mengetahui apakah metode fuzzy time series Chen dan Hsu dapat dipergunakan dalam memprediksi Kurs rupiah terhadap dolar Amerika. Proses peramalan menggunakan metode fuzzy time series Chen dan Hsu (2014) menggunakan data pada periode 1 April 2016 sampai dengan 18 Juni 2016. Berdasarkan hasil peramalan menggunakan metode fuzzy time series Chen dan Hsu untuk tanggal 21, 22, 23, 24, dan 25 pada bulan juni secara berturut-turut adalah Rp. 13355, Rp. 13375, Rp. 13395, Rp. 13465, Rp 13.475 dengan tingkat kesalahan peramalan sebesar 0,6%. Dikarenakan tingkat kesalahan sebesaer 0,6% maka metode fuzzy time series Chen dan Hsu dapat dipergunakan untuk memprediksi nilai tukar rupiah terhadap dolar Amerika.
PREDIKSI NILAI TUKAR RUPIAH MENGGUNAKAN METODE MAMDANI Indra Suyahya; Wulan Anggraeni
Sosio e-Kons Vol 8, No 1 (2016): sosio e-kons
Publisher : Universitas Indraprasta PGRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (412.917 KB) | DOI: 10.30998/sosioekons.v8i1.767

Abstract

The main purpose of this study was to find out whether the mamdani methode can predict foreign exchange rate based on inflation rate. The result of descriptive calculation using SPSS 22 show that the mean, median, mode, standard deviation, minimum and maximum based on the inflation rate in order are 6.0548; 6.0650; 4.53; 1.63194; 3.56; and 8.79. While the mean, median, mode, standard deviation, minimum and maximum respectively for fpreign exchange is, 11164.48; 11431.5; 9687; 1554.65; 9026; 14369. The result of MAPE value was 9,35%. It’s mean mamdani method can be used as reference for predicting foreign exchange rate. Keywords: Prediction, Exchange Rate and Mamdani
Co-Authors Wulan Anggraeni