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Kondisi Perekonomian Nusa Tenggara Barat pada Gelaran MotoGP Mandalika dengan Pendekatan Big Data di Sektor Pariwisata Dewi Krismawati; Satria Bagus Panuntun
Seminar Nasional Official Statistics Vol 2022 No 1 (2022): Seminar Nasional Official Statistics 2022
Publisher : Politeknik Statistika STIS

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1305.245 KB) | DOI: 10.34123/semnasoffstat.v2022i1.1486

Abstract

The COVID-19 pandemic that occurred two years ago was a factor that greatly influenced the economic slowdown, both at the global and national levels. The International Pertamina Grand Prix MotoGP Mandalika was enthusiastically welcomed by the Indonesian people. The existence of the 2022 MotoGP event is an opportunity to encourage economic recovery both at the level of the Province of West Nusa Tenggara (NTB) and nationally. This study aims to see the impact of the Mandalika MotoGP event on the economy, especially the tourism sector in NTB by utilizing Big Data technology. The results of this study indicate a significant increase in community mobility during the event, especially in transit areas and parks. The increase in TPK also occurred quite significantly in March 2022 compared to February 2022. The number of flights to Lombok International Airport increased sharply from 18 to 21 March 2022. Some of these indicators show that the MotoGP mandalika event is a moment for the revival of the NTB economy.
Pengaruh Pemberian Pupuk Hayati Mikoriza dan Pupuk NPK Terhadap Pertumbuhan dan Hasil Tanaman Kedelai (Glycine max (L.) Merrill) Varietas Biosoy : Kedelai, Pupuk hayati Mikoriza, NPK, Biosoy Satria Bagus Panuntun; Sumarmi Sumarmi; Sartono Joko Santosa
Innofarm:Jurnal Inovasi Pertanian Vol. 25 No. 2 (2023): JURNAL INNOFARM : Jurnal Inovasi Petanian
Publisher : FAKULTAS PERTANIAN UNIVERSITAS SLAMET RIYADI

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The research entitled the effect of mycoriza's biofertilizer and NPK fertilizer on the growth and produce of soybean plants (Glycine max (L.) Merrill ) Biosoy varieties took place on December 7, 2022 until March 7, 2023, In crops and horticulture Sidoharjo, Kayuloko Village, Sidoharjo Subdistrict, Wonogiri District. The study aims to learn the effects of various doses of mycoriza biofertilizer and NPK fertilizer 16:16:16 for growth and resulting from Biosoy varieties. The study used a Randomized Completely Block Design (RCBD) consisting of 2 factors namely the doses of mycoriza biofertilizer (M) and the doses of NPK fertilizer 16: 16: 16 (N), each repeated 3 times. The first is the treatment of mycoriza biofertilizer with 4 tiers (M0 ) without treatment, (M1) 2.5 g / plant, (M2) 5 g / plant, and (M3) 7.5 g / plant. The second factor is the treatment of NPK fertilizer (N0) without treatment, (N1) 1 g/plant, (N2) 2 g / plant, and (N3) 3 g/plant. The parameters observed are plant high, leaves number, wet weight, dry weight, pods number, fresh pods weight, dry seeds weight, 100 dried seeds weight, and spindle seeds weight. The result of the research showed that (1) the treatment of mycoriza biofertilizer had a real impact on 100 dried seeds weight (25.97 g) and spindle seeds weight (154.23 g). (2) NPK fertilizer treatment gives a real impact on on plant high (33.17 cm), fresh pods weight (29.11 g), 100 dried seeds weight (25.97 g) and on spindle seeds weight (154.23 g). (3) The interaction of treatment between mycoriza's bio fertilizer and NPK fertilizer has a real effect (29.11 g) on the fresh pods weight and dry seeds weight (10. 43 g). (4) The best doses of both treatment is M2N2 is giving mycoriza 5 g/ plant and NPK 2 g/ plant had a impact on plant high (33.17 cm), leaves number (83.25 strands), wet weight (25.20 g), dry weight (9.18 g), pods number (29.83 fruit), fresh pods weight (29.11 g), dry seeds weight (10.43 g), 100 dried seeds weight (25.97 g). Keywords: Soybean, Mycoriza’s bio fertilizer, NPK, Biosoy
Text Analysis Study on Urban farming News Toward Food Security in Indonesia: Sentiment Analysis, Named Entity Recognition, Topic Modelling, and Social Network Analysis Dewi Krismawati; Satria Bagus Panuntun
Proceedings of The International Conference on Data Science and Official Statistics Vol. 2023 No. 1 (2023): Proceedings of 2023 International Conference on Data Science and Official St
Publisher : Politeknik Statistika STIS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34123/icdsos.v2023i1.352

Abstract

Urban farming is an increasingly popular trend in agricultural activities. Urban farming is an attempt to achieve urban sustainability from an environmental, social and economic perspective. In order to understand the phenomenon of urban farming in society, one of the media used is a news portal. This research aims to gain an in-depth understanding of community perceptions, social networks and issues related to the urban farming phenomenon. Data was collected using the web-scraping method on three national news portals in Indonesia. Data analysis was carried out using sentiment analysis, NER, topic modelling and social network analysis methods. Sentiment analysis shows that there is a generally positive sentiment towards urban farming. Government officials and environmental activists are frequently mentioned as supporting and promoting urban agriculture. Social network analysis reveals interactions between government agencies, non-governmental organisations and the media. The relationships between these stakeholders form a network that plays a role in building awareness, cooperation and knowledge exchange to strengthen food security through urban agriculture.
Time-Series Clustering of the Regencies Hotel Room Occupancy Rate in Indonesia after the COVID-19 Pandemic Ladisa Busaina; Setia Pramana; Satria Bagus Panuntun
Proceedings of The International Conference on Data Science and Official Statistics Vol. 2023 No. 1 (2023): Proceedings of 2023 International Conference on Data Science and Official St
Publisher : Politeknik Statistika STIS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34123/icdsos.v2023i1.387

Abstract

After COVID-19 pandemic, Indonesia entering the recovery era. The government provides incentives for tourism industry recovery. This policy was created because the impact of COVID-19 pandemic on tourism industry at each regencies/cities are different. This study investigates a different recovery pattern at regencies/cities across Indonesia. The data of this study consist of the room occupancy rate (ROR) from Badan Pusat Statistik (BPS) Indonesia and from web scraping monthly data from Agoda website between 1 January 2021 until 1 August 2023. The regencies/cities are clustered by ROR category using the dynamic time warping method. The result of study, there is a difference of tourism industry recovery at regencies/cities across Indonesia, which is the speed are fast, medium, or slow. This could be the result of differences of different policy in each regency/city to respond COVID-19 pandemic on their tourism industry.