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All Journal Pythagoras: Jurnal Matematika dan Pendidikan Matematika Jurnal Ilmu Komputer dan Informasi Media Statistika Jurnal Teknologi Informasi dan Ilmu Komputer UNEJ e-Proceeding Journal of Mathematics and Mathematics Education (JMME) Jurnal Aplikasi Statistika & Komputasi Statistik TIN: TERAPAN INFORMATIKA NUSANTARA Journal of Applied Data Sciences Jurnal Pengabdian kepada Masyarakat Pattimura Proceeding : Conference of Science and Technology Prosiding University Research Colloquium Seminar Nasional Riset dan Teknologi (SEMNAS RISTEK) International Journal of Computing Science and Applied Mathematics-IJCSAM Proceedings International Conference on Economic Business and Social Science
Irwan Susanto
Universitas Sebelas Maret
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Profile Of Tourist Visits In Sangiran Site Area, Sragen Regency Subanti, Sri; Slamet, Isnandar; Sulandari, Winita; Zukhronah, Etik; Sugiyanto, Sugiyanto; Susanto, Irwan
Journal of Mathematics and Mathematics Education Vol 11, No 1 (2021): Journal of Mathematics and Mathematics Education (JMME)
Publisher : Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/jmme.v11i1.52744

Abstract

Tourism activities are chain activities that involve various sectors and related institutions. Tourism is one of the fields in the lives of the people of Sragen Regency, which has become one of the priorities in development in recent years. This is based on the local government's awareness that tourism development can support regional income while at the same time increasing the standard of living of people living in tourist areas. For this reason, evaluating the impact of tourism in an area on the socioeconomic conditions of the community is an important thing to know. Sangiran is one of the most complete paleontological sites in Indonesia. Sangiran has also been designated as a cultural heritage by UNESCO on December 5, 1996, with the designation number C.593. The Sangiran site itself is located in Sragen Regency and Karanganyar Regency, Central Java Province. In general, the background of the population in the Sangiran Site area comes from the Javanese ethnic group, who in daily life communicate using the Javanese language. The Sangiran site has been known as an ancient human area from the Pleistocene. Not only storing archaeological wealth, but Sangiran is also very rich in artistic potential, both from prehistoric times and the present. Many things can be enjoyed in Sangiran. Apart from the museum that presents archaeological findings full of meaning, the public can also enjoy the local culture, including traditional arts, traditional ceremonies, local architecture, and folk crafts, adding value to the site. This study aims to determine the profile of tourist visits in the Sangiran Site Area. This study found that the factors that influence the number of visits to the Sangiran Site Area are travel costs, age, gender, and monthly income of respondents related to visiting the Sangiran Site Area. Furthermore, the factors that influence the respondents' willingness to accept ticket offers in the market hypothesis scenario in the Sangiran Site Area are the nominal price of the entrance ticket to a market hypothesis given to respondents, age, gender, monthly income of respondents, education level of respondents, and origin of the respondent.
APPLICATION OF ARTIFICIAL NEURAL NETWORK METHOD IN CURRENCY CRISIS DETECTION IN INDONESIA BASED ON MACROECONOMIC INDICATORS Rosma Dian Pertiwi; Sugiyanto Sugiyanto; Irwan Susanto
International Conference on Economic Business and Social Science Vol. 1 No. 1 (2023): Proceeding International Conference on Economic Business and Social Science (IC
Publisher : Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/icebss.v1i1.7

Abstract

The global crises of 1997 and 2008 that affected various countries had significant impacts on the economies of developing countries in the world, including Indonesia. If not addressed, these impacts could have adverse effects on Indonesia. Therefore, it is necessary to have an early warning system for currency crises to anticipate the negative effects of such crises. This study employs the Financial Pressure Index (FPI) crisis threshold approach with perfect signal value as the dependent variable and 13 macroeconomic indicators as independent variables to develop an early warning model for currency crises in Indonesia using Artificial Neural Network method with Multilayer Perceptron Backpropagation algorithm and adding Adaptive Moment Estimation (Adam) optimization in weight modification process. The testing results on validation and test data show that Adam optimization produces high accuracy, sensitivity, and specificity. Based on the best model, it is found that the period from July 2021 to June 2022 has a perfect signal value of 0, meaning that there will be no crisis in Indonesia from July 2022 to June 2023. In conclusion, this study shows that the Artificial Neural Network method with Adam optimization can effectively detect currency crises in Indonesia
Co-Authors Adella Okky Herashanti Adi Wicaksono, Nanda Adigama Tri Nugraha Aji Susanto Anindya Apriliyanti Pravitasari Aprilia, Nabila Churin Aristiarto, Rio Brodjol Sutija Suprih Ulama Fhadilla, Nahdatul Fithriasari, Kartika Handajani, Sri Sulistijowati Hidayah, Nurrul Husna Afanyn Khoirunissa Indra Raditya , Dionisius Isnaini, Bayutama Isnandar Slamet Isnandar Slamet Isnandar Slamet Isnandar Slamet, Isnandar Jelita, Nadia Aulia Kadar, Jimmy Abdel Kristoforus Exelsis Pratama Nabila Churin Aprilia Nugraha, Titis Jati Nur Iriawan Pardede, Hilman Ferdinandus Quraini Septy Wardhani Rosma Dian Pertiwi Safira Callisa Shinta Budiati Sri Subanti Sri Sulistijowati Handajani Sri Sulistijowati Handajani Sugianto Sugianto Sugiyanto - Sugiyanto Sugiyanto Sugiyanto, Sugiyanto Sulandari, Winita Supriyadi Wibowo Susilotomoa, Dhestahendra Citra Wahyuni Suryaningtyas, Wahyuni Winita Sulandari Winita Sulandari Yuliana Susanti Yuliana Susanti, Yuliana Zukhronah, Etik