Trade Impediments in Indonesia

Barli Suryanta,Arianto Arif Patunru 세종대학교 경제통합연구소 2023 Journal of Economic Integration Vol.38 No.2

This study investigates the effect of various types of trade impediments on Indonesia's trade flows. We categorize tariff measures, non-tariff measures (NTMs), and the lack of trade facilitation measures into at-the-border and behind-the-border barriers. A gravity model is applied to a panel dataset covering 177 of Indonesia's trade partners from 2007 to 2016. This study shows that Indonesia's trade protection remains high, particularly due to the increasing use of NTMs. Furthermore, the lack of trade facilitation also contributes to increasing trade costs, particularly those associated with trade logistics and administration. We also demonstrate why feasible generalized least square is preferable to ordinary least squares and pseudo-Poisson maximum likelihood when estimating a gravity model using panel data that are auto-correlated and contain a large number of zero observations.

Strength Map of Presidential Candidates 2019 in Indonesia Based on a NodeXL Analysis of Big Data from Twitter

Suratnoaji, Catur,Arianto, Irwan Dwi,Sumardjijati, Sumardjijati Center for Asian Public Opinion ResearchCollaborat 2018 Asian journal for public opinion research Vol.6 No.1

Leading up to the 2019 presidential election in Indonesia, campaigns have emerged through social media, particularly Twitter, using various hashtags, such as #2019GantiPresiden (2019 Change President) and #TetapJokowi (Always Jokowi). This paper tries to understand the presidential candidates' power map in forming opinions and influencing voter behavior by analyzing Twitter from August 6, 2018 to September 15, 2018, just before the beginning of the official campaign period, by searching for the keyword "pemilihan presiden RI Tahun 2019" (RI presidential election in 2019). According to our NodeXL's analysis, there were 1,650 active Twitter users talking about the 2019 presidential election. The 1,650 Twitter users have formed a communication network of 46,750 relationships formed from messages in the form of tweets, comments, and retweets. Our analysis found that those mentioning "pilihan presiden 2019" form large communication networks around four clusters: one for each of the two candidates (Jokowi and Prabowo) and two for opinion leaders who are undecided about the election (Gus Mus and Mas Piyu). GusMus is a religious leader, as an official of the PBNU Rais Syuriah (an Islamic organization) and has a large following both on and off Twitter. "MasPiyu" is an unidentified Twitter user; he only has a large following on Twitter, but does not have support offline.

Growth of Two Native Zoysiagrasses Collected from Sea Side and Mountain Area in Indonesia on Growing Media Composed of Sand and Clay

Rahayu, Rahayu,Dewantoro, Hery,Arianto, Dwi Priyo,Bae, Eun-Ji,Choi, Su-Min,Lee, Kwang-Soo,Yang, Geun-Mo,Choi, Joon-Soo The Korean Society of Weed ScienceThe Turfgrass So 2018 Weed & Turfgrass Science Vol.7 No.1

Zoysiagrass (Zoysia spp.) exists spotly in Indonesia and it has potential to be used in parks, golf courses, and football fields. Many football fields and golf course fairways use sand as top soil over native soil. This study aims to analyze growth and quality of two native zoysiagrasses Zis and Zim. Zis is a native zoysiagrass collected in sea-side and Zim is a native zoysiagrass collected in mountain area. Both types of zoysiagrasses were planted at field with altitude of 300 m with various growing media mixes of sand and reservoir's sediment. Thickness of the growing medium was 10 cm over an alfisol clay soil. Experimental plots were constructed using factorial completely randomized design with two native zoysiagrasses and 5 types of growing media. Two ecotypes of native zoysiagrasses showed different in growth habits combined with mixtures of growth media. Zim showed higher growing speed including more vigor with uniformity and texture than Zis. There were not significanthly differences on leaf color and root length between two ecotypes of native zoysiagrasses collected in Indonesia.

Strength Map of Presidential Candidates 2019 in Indonesia Based on a NodeXL Analysis of Big Data from Twitter

Catur Suratnoaji,Irwan Dwi Arianto,Sumardjijati 충남대학교 아시아여론연구소 2018 Asian journal for public opinion research Vol.6 No.1

Leading up to the 2019 presidential election in Indonesia, campaigns have emerged through social media, particularly Twitter, using various hashtags, such as #2019GantiPresiden (2019 Change President) and #TetapJokowi (Always Jokowi). This paper tries to understand the presidential candidates' power map in forming opinions and influencing voter behavior by analyzing Twitter from August 6, 2018 to September 15, 2018, just before the beginning of the official campaign period, by searching for the keyword “pemilihan presiden RI Tahun 2019" (RI presidential election in 2019). According to our NodeXL's analysis, there were 1,650 active Twitter users talking about the 2019 presidential election. The 1,650 Twitter users have formed a communication network of 46,750 relationships formed from messages in the form of tweets, comments, and retweets. Our analysis found that those mentioning "pilihan presiden 2019" form large communication networks around four clusters: one for each of the two candidates (Jokowi and Prabowo) and two for opinion leaders who are undecided about the election (Gus Mus and Mas Piyu). GusMus is a religious leader, as an official of the PBNU Rais Syuriah (an Islamic organization) and has a large following both on and off Twitter. "MasPiyu" is an unidentified Twitter user; he only has a large following on Twitter, but does not have support offline.

Growth of Two Native Zoysiagrasses Collected from Sea Side and Mountain Area in Indonesia on Growing Media Composed of Sand and Clay

Rahayu,Hery Dewantoro,Dwi Priyo Arianto,배은지,최수민,이광수,양근모,최준수 한국잔디학회 2018 Weed & Turfgrass Science Vol.7 No.1

Zoysiagrass (Zoysia spp.) exists spotly in Indonesia and it has potential to be used in parks, golf courses, and football fields. Many football fields and golf course fairways use sand as top soil over native soil. This study aims to analyze growth and quality of two native zoysiagrasses Zis and Zim. Zis is a native zoysiagrass collected in sea-side and Zim is a native zoysiagrass collected in mountain area. Both types of zoysiagrasses were planted at field with altitude of 300 m with various growing media mixes of sand and reservoir’s sediment. Thickness of the growing medium was 10 cm over an alfisol clay soil. Experimental plots were constructed using factorial completely randomized design with two native zoysiagrasses and 5 types of growing media. Two ecotypes of native zoysiagrasses showed different in growth habits combined with mixtures of growth media. Zim showed higher growing speed including more vigor with uniformity and texture than Zis. There were not significanthly differences on leaf color and root length between two ecotypes of native zoysiagrasses collected in Indonesia.

Public Opinion on Lockdown (PSBB) Policy in Overcoming COVID-19 Pandemic in Indonesia: Analysis Based on Big Data Twitter

Catur Suratnoaji,Nurhadi,Irwan Dwi Arianto 충남대학교 아시아여론연구소 2020 Asian journal for public opinion research Vol.8 No.3

The discourse on the lockdown in Indonesia is getting stronger due to the increasing number of positive cases of the coronavirus and the death rate. As of August 12, 2020, the confirmed number of COVID-19 cases in Indonesia reached 130,718. There were 85,798 victims who have recovered and 5,903 who have died. Data show a significant increase in cases of COVID-19 every day. For this reason, there needs to be an evaluation of the government policy of the Republic of Indonesia in dealing with the COVID-19 pandemic in Indonesia. An evaluation of policies for handling the pandemic must include public opinion to determine any weaknesses of this policy. The development of public opinion about the lockdown policy can be understood through social media. During the COVID-19 pandemic, measuring public opinion through traditional methods (surveys) was difficult. For this reason, we utilized big data on social media as research data. The main purpose of this study is to understand public opinion on the lockdown policy in overcoming the COVID-19 pandemic in Indonesia. The things observed included: volume of Twitter users, top influencers, top tweets, and communication networks between Twitter users. For the methodological development of future public opinion research, the researchers outline the obstacles faced in researching public opinion based on big data from Twitter. The research results show that the lockdown policy is an interesting issue, as evidenced by the number of active users (79,502) forming 133,209 networks. Posts about the lockdown on Twitter continued to increase after the implementation of the lockdown policy on April 10, 2020. The lockdown policy has caused various reactions, seen from the word analysis showing 14.8% positive sentiment, 17.5% negative, and 67.67% non-categorized words. Sources of information who have played the roles of top influencers regarding the lockdown policy include: Jokowi (the president of the Republic of Indonesia), online media, television media, government departments, and governors. Based on the analysis of the network structure, it shows that Jokowi has a central role in controlling the lockdown policy. Several challenges were found in this study: 1) choosing keywords for downloading data, 2) categorizing words containing public opinion sentiment, and 3) determining the sample size.

Institutional Model and Strategy for Downstream Development of Shallot Agroindustry in Indonesia

Noveria Sjafrina,Agus Budiyanto,Amos Lukas,Alvi Yani,Puji Astuti,Arief Arianto,Abdullah Bin Arif,Marimin,Faqih Udin,Elisa Anggraeni,I Gusti Ayu Putu Mahendri 대한산업공학회 2023 Industrial Engineeering & Management Systems Vol.22 No.4