Claim Missing Document
Check
Articles

Found 2 Documents
Search

Menganalisis Nilai IHSG Beserta Faktor-Faktor Yang Mempengaruhi Di Era Pandemik Covid-19 Halwa Annisa Khoiri; Emylia Arghawaty
JAD : Jurnal Riset Akuntansi & Keuangan Dewantara Vol. 3 No. 2 (2020): Juli (2020) - Desember (2020)
Publisher : STIE PGRI Dewantara Jombang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26533/jad.v3i2.677

Abstract

The Covid 19 caused instability in the Indonesian economic. One of the benchmarks is fluctuations of IHSG which dropped significantly when the PSBB began to take effect. According to the previous research, fluctuations of IHSG were influenced by the price of gold, the exchange rate of the IDR against the USD, and the Dow Jones Industrial Average (DJIA). The data used in this research are daily data during the Covid 19 in Indonesia from March to June. The results obtained that all of these factors significantly influence the fluctuation of IHSG. By using four factors, it is able to explain the variation of IHSG fluctuation of 63.9%.
MAKESPAN MINIMIZATION IN BATIK MURNI SMEs WITH PALMER, CAMPBELL DUKDEK SMITH, AND HEURISTIC POUR ALGORITHM Wildanul Isnaini; Emylia Arghawaty; Zahrul Ashari
Spektrum Industri Vol. 18 No. 1: April 2020
Publisher : Universitas Ahmad Dahlan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/si.v18i1.15869

Abstract

Batik Murni is one of the Small and Medium Enterprises (SMEs) in Madiun Region that produces batik tulis and batik cap. However, the production of Batik Murni has not applied the exact method in production scheduling. This SMEs still uses intuition to make the production schedule. This condition can give disadventages for the SMEs, overstock and stockout will be happened. In this study, the researcher wants to offer a solution for the scheduling problems so Batik Murni can increase theri productivity performance. Researchers offer three production scheduling methods aimed at minimizing the makespan of Batik Tulis. The three methods used are Palmer, Champbell Dukdek Smith (CDS), and Heuristic Pour Algorithm. From this research, It can be concluded that the best production scheduling optimization at Batik Murni SMEs is obtained from the Palmer method. With makespan of 4837 minutes or 11 working days so the makespan can be minimized 54,2%.  In the order of the production process is batik sejuta bunga – batik batik turi tabur - batik seger arum - batik pecel.