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Volume dan Kapasitas Jaringan Jalan di Kawasan Pondok Labu Djamaluddin, Said; Hotnyda, Adella; Hendratmoko, Pungkas
JURNAL MANAJEMEN TRANSPORTASI & LOGISTIK Vol 2, No 02 (2015): JURNAL MANAJEMEN TRANSPORTASI & LOGISTIK
Publisher : STMT Trisakti

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Abstract

Tujuan penelitian ini untuk menganalisis optimalisasi jaringan jalan raya dari Rumah Sakit Fatmawati ke Pondok Labu (UPN “Veteran “ Jakarta), khususnya untuk mengukur rasio volume dan kapasitas terhadap sarana dan prasarana, mengingat tingkat kemacetannya di atas toleransi. Untuk menempuh 2-3 km dari RS Fatmawati-UPN “Veteran“ Jakarta, diperlukan waktu 2-3 jam. Dengan menggunakan metode diagram ikan (fish bone / cause & effect diagram) dan teori Manajemen Risiko, maka, didapat beberapa rekomendasi, yakni membuat arus satu arah (SSA) baik pada waktu pagi dan sore hari. Sementara, rekomendasi lain diusulkan agar garis pemisah di depan mall giant juga dihilangkan, tidak ada parkir sepanjang jalan, fasilitas jalan dilengkapi, pengawasan disiplin berlalu-lintas dan juga relokasi Pasar Pondok Labu.
Volume dan Kapasitas Jaringan Jalan di Kawasan Pondok Labu Djamaluddin, Said; Siregar, Adella Hotnyda; Hendratmoko, Pungkas
JURNAL MANAJEMEN TRANSPORTASI & LOGISTIK Vol 2, No 2 (2015): JULI
Publisher : Sekolah Tinggi Manajemen Transportasi (STMT) Trisakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25292/j.mtl.v2i2.123

Abstract

 The  intent  of  this  study  to  analyze  the  optimization  of  highway  network  of  hospitals Fatmawati to Pondok Labu (UPN “Veteran“ Jakarta). Especially for measuring the ratio of the volume and capacity (V/C) of the facilities and infrastructure, given the congestion level above the tolerance within 2-3 km of the RS Fatmawati-UPN "Veteran" Jakarta, takes 2-3 hours the goal is to repair the target to be achieved to make people gain easy mobility around Pondok Labu Fatmawati according to their desired travel. Some of the recommendations suggested by research, must make a one-way flow (OWF) in the morning of Pondok Labu to Fatmawati hospital and vice versa for in the evening. Another recommendation is proposed, so that the dividing line in front of the giant malls are also eliminated, there is no parking along the road, a road equipped, disciplined pass-traffic control and also realocation Market Pondok Labu.
ANALYSIS OF CUSTOMER LOYALTY THROUGH THE FAST RESTAURANT CUSTOMER SATISFACTION FACTOR Djumarno, Djumarno; Djamaluddin, Said; Hudaya, Agung; Djoko Setyo Widodo
Dinasti International Journal of Digital Business Management Vol. 1 No. 6 (2020): Dinasti International Journal of Digital Business Management (October - Novembe
Publisher : Dinasti Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31933/dijdbm.v1i6.588

Abstract

Economic growth and the growth of restaurant activities is very rapid, will affect many aspects of the economy, the need for staples, and other needs make distribution of merchandise will be increasingly busy. Business people will create strategies to complement the needs of the community or consumers. Nowadays, restaurant business is a solution for entrepreneurs, because the busyness of the community will make them prefer the meaning of fast food. Consumers will see the quality of products from the retail store they will buy, as well as the quality of service, whether the brand image displayed by fast food restaurants is in accordance with customer satisfaction. It is expected that loyalty will arise if satisfaction arises in the minds of these consumers. Data analysis techniques used are correlation analysis techniques and SEM (structural equation model) analysis techniques. Correlation analysis techniques to determine the relationship between variables, while SEM analysis techniques to determine how much influence the independent variable has on the dependent variable. The software used to process and analyze data from this study is Smart PLS version 3.0.
THE IMPACT OF MACRO FACTORS ON COMPOSITE STOCK PRICE INDEX (CSPI) IN INDONESIA STOCK EXCHANGE (IDX) PERIOD 2014-2018 Djamaluddin, Said; Riki Ardoni; Aty Herawati
Dinasti International Journal of Economics, Finance & Accounting Vol. 1 No. 1 (2020): Dinasti International Journal of Economics, Finance & Accounting (March- April
Publisher : Dinasti Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/dijefa.v1i1.205

Abstract

This study aims to determine the effect of the BI rate, the dollar exchange rate, the yuan exchange rate, the Dow Jones index, the Shanghai index and world oil prices on the composite stock price index (CSPI). The data used is the period from January 2014 to December 2018 with the multiple regression analysis method. The results showed that the BI rate, Dollar Exchange, Yuan Exchange, Dow Jones, SSE Composite Index and WTI were able to explain the 91.8% effect on CSPI and the remaining 8.2% explained by other variables not examined. T test results show that partially BI interest rates, the yuan and Shanghai exchange rates do not have a significant effect on CSPI. While the dollar exchange rate, Dow Jones Index and world crude oil prices have a significant influence on the composite stock price index (CSPI) with coefficients respectively - 0.41705, +0.21245 and -7.86373. The independent variable that has the most dominant influence on CSPI is Crude Oil (WTI).
EFFECT OF MACROECONOMIC VARIABLES ON THE TELECOMMUNICATION SECTOR SHARE RETURN Djamaluddin, Said; Gani Hosea, Jefta
Dinasti International Journal of Economics, Finance & Accounting Vol. 1 No. 6 (2021): Dinasti International Journal of Economics, Finance & Accounting (January - Feb
Publisher : Dinasti Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/dijefa.v1i6.686

Abstract

This study aims to see the effect of macroeconomic factors on stock returns in telecommunications companies listed on the Indonesia Stock Exchange for the period 2015 to 2020. The factors analyzed in this study are GDP, inflation, interest rates, and the rupiah exchange rate as independent variables and stock returns. as the dependent variable. The data analyzed in this study belong to the type of quantitative research. By selecting samples using purposive sampling obtained as many as 4 samples of telecommunications companies. The method of analysis of this study uses panel data regression and the data used in this study are secondary data. The results of this study indicate that the coefficient of determination (R2) is 26.32%, while the remaining 73.68% is the fact by other factors outside the study. The results of this study indicate that the GDP variable does no effect on telecommunications stock returns. However, the Inflation and Exchange Rate variables have a significant effect on stock returns with a negative effect. Meanwhile, the interest rate variable has a significant effect on stock returns with a positive effect on stock returns of telecommunications companies listed on the Indonesia Stock Exchange for the 2015-2020 period.
Underpricing Determinants on the Public Offering of Primary Shares (IPO) in Indonesia Stock Exchange 2015-2019 Kirana Astuti, Diah; Djamaluddin, Said
Dinasti International Journal of Economics, Finance & Accounting Vol. 2 No. 1 (2021): Dinasti International Journal of Economics, Finance & Accounting (March - April
Publisher : Dinasti Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/dijefa.v2i1.732

Abstract

This study aims to obtain empirical evidence about the influence of Underwriter's Reputation, Return On Assets, Company Age, Company Size, Debt to Equity Ratio on Underpricing. The independent variables used in this study are Underwriter's Reputation, Return On Assets, Company Age, Company Size, Debt to Equity Ratio. The dependent variable used in this study is underpricing which is measured by initial return. This research was conducted on companies that made initial public offerings (IPO) from 2015-2019 on the Indonesia Stock Exchange. Sampling was done using purposive sampling method resulting in 114 companies as the research sample. The results of this study indicate that the Underwriter's Reputation and Debt to Equity Ratio variables have an effect on Underpricing. Meanwhile, Return On Asset, Company Age, Company Size have no effect on Underpricing. So an underwriter with a good reputation can reduce the level of underpricing and not result in loss of additional capital receipts for the company. And the higher the DER, the higher the level of underpricing. Because companies with high DER indicate a high risk of failure for the company and will influence public or investors interest in investment decision makers.