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Returns to Postgraduate Education in Indonesia: Province-Level Evidence and Policy Implications Farisy, Ahmad Arib Al; Sartika, Devi; Elfianty, Lena; Wahyudi, Jusuf; Mayangsari, Chisillia; Amany, Sarah Ulfah Al
International Journal of Artificial Intelligence Research Vol 8, No 1.1 (2024)
Publisher : Universitas Dharma Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29099/ijair.v8i1.1.1708

Abstract

This study investigates the relationship between postgraduate education (Master's and Doctoral degrees, designated S2/S3 in Indonesia's educational system) and provincial-level economic outcomes using comprehensive 2022 data from Indonesia's Central Statistics Agency (BPS). Drawing on human capital theory (Becker, 1964; Mincer, 1974) and signaling theory (Spence, 1973), we examine how the concentration of advanced degree holders correlates with key development indicators across Indonesia's 34 provinces. Our cross-sectional analysis employs Pearson correlations with heteroscedasticity-robust standard errors and multiple regression specifications controlling for urbanization, industrial composition, and geographic factors. Results reveal significant positive correlations between postgraduate education rates and economic prosperity. Provinces with higher concentrations of S2/S3 degree holders demonstrate substantially higher GDP per capita (r = 0.52, p < 0.01), Human Development Index scores (r = 0.71, p < 0.001), and lower poverty rates (r = -0.48, p < 0.01). DI Yogyakarta leads with a postgraduate rate of 1.11%, while Nusa Tenggara Timur lags at 0.21%, highlighting significant regional disparities. These findings are robust to the exclusion of outliers (DKI Jakarta, Papua) and persist across alternative model specifications. While cross-sectional data precludes causal inference, the strength and consistency of associations provide empirical support for expanding government scholarship programs such as LPDP (Lembaga Pengelola Dana Pendidikan). We recommend targeted scholarship investments in underrepresented provinces and fields with high economic multiplier effects to address regional disparities and maximize returns from educational investment
The Use of Apriori Method in Forecasting the Number of New Students Elfianty, Lena; Fredricka, Jhoanne; Alinse, Rizka Tri
International Journal of Artificial Intelligence Research Vol 8, No 1 (2024): June 2024
Publisher : Universitas Dharma Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29099/ijair.v8i1.1709

Abstract

The development of information technology has significantly influenced many sectors, including education. Higher education institutions are required to manage and analyze data effectively in order to support decision-making processes. One of the challenges faced by universities is predicting the number of new students each academic year. The uncertainty in the number of applicants can affect academic planning, facility preparation, and marketing strategies carried out by the institution. This study aims to apply the Apriori method to analyze new student admission data in order to discover patterns and relationships within the data that can be used as a basis for forecasting the number of new students in the following academic year. The research method used includes data collection through observation, interviews, and literature study. The data used in this study are historical data of new student registrations from previous years.The analysis process is carried out using the Apriori algorithm to identify frequent itemsets and association rules based on support and confidence values. The results of the study indicate that the Apriori method is capable of identifying patterns and relationships among variables in the new student registration process. The information generated from this analysis can assist universities in developing more effective strategies for student recruitment and admission planning. By implementing a data mining approach using the Apriori method, educational institutions are expected to utilize their existing data to generate valuable information that supports strategic decision making and improves forecasting accuracy for new student admissions
Pengelolaan Sampah dan Penanaman Bibit untuk Lingkungan Berkelanjutan Edettri, Tesa; Anto, Hardi; Vianis, Adittia Okta; Putra, Relissyah; Wijaya, Ermy; Sumantri, Ajis; Elfianty, Lena
Jurnal Gotong Royong Vol 3 No 1 (2026): Mei
Publisher : LPPM Universitas Dehasen Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/goro.v3i1.10704

Abstract

Environmental cleanliness and sustainability are important factors in supporting community quality of life. Waste problems are still frequently found in residential areas due to low public awareness and inadequate waste management. This community service activity aims to increase community concern for waste management and environmental preservation through seed planting programs. The method used is a participatory approach involving the community in environmental education, clean-up activities, waste sorting practices, and seed planting around the neighborhood. The results indicate an increase in public awareness in maintaining environmental cleanliness and the formation of positive behavior toward waste management. In addition, seed planting activities contribute to environmental aesthetics and quality. It can be concluded that collaboration between students and the community is effective in creating a clean and sustainable environment.
Co-Authors Aan Herwansah Abdussalam Al Akbar Adriansa, Mezi Alfarisy, Ahmad Arib Alinse, Rizka Tri Amany, Sarah Ulfah Al Andika, Ryndry Annisa Putri Pratiwi Anto, Hardi Ardhi Pratomo Ariantara, Yudi Baggash Adytia Pratama Candra Alexander Desi Tosary Dewi Suranti Dewi Yuliansari, Intan Edettri, Tesa Edison Edison Edy Hermansyah Eko Suryana Eko Suryana Erpan Syahputra Evandi, Rahmad Evi Andriani Fadhilah, Abyyu Farisy, Ahmad Arib Al Febriansyah, Angga Trio Firdaus, Muhammad Bintang Fredricka, Jhoanne Fredricka, Jhoanne Hari Aspriyono Harjoni Saputra Herlin Herlin Herlin, Herlin Herlina Latipa Sari Hesti Nur’aini Ila Yati Beti Indra Kanedi Juju Jumadi Jusuf Wahyudi Jutriansyah, Dodon Kanedi, Indra Kanedi Kanita Febianda Kubroh, Darojatul Kurniawan, Dwiki Leni Natalia Zulita Lesmana, Ferdi Lianda, Deri Lina Widawati Liza Yulianti Liza Yulianti Maryaningsih Maryaningsih Maryaningsih, Maryaningsih Mayangsari, Chisillia Mesterjon, Mesterjon Miki Andika Muhammad Fadhil Z, Rusdi Noor Rosa (p:43-50) Mutiara Octa Sari Neri Susanti Ninosari, Devina Nofi Qurniati Ockhy Jey Fhiter Wassalam Panca Nugraha Pratama, Baggash Adytia Putra, Redo Osi Putra, Relissyah Qurniati, Nofi Qurniati, Nofi Ragil Fadilla Rahma Dani Revolina, Elya Rianda, Reszha Ricky Zulfiandry Rina Trisna Yanti Rina Trisna Yanti, Rina Riska Riska Robi Saputra S Siswanto Sabda Novita Sallaby, Achmad Fikri sapri sapri Saputra, Ryu River Sari, Lidiya Okta Sarjuni, Muhammad Sartika, Devi Septianto, Muhamad Diecky Silvia Wahyu Hastuti Siti Sundari Sri Handayani Suartana, Gede Sukmawati Sukmawati Sulisti Afriani Sulisti Afriani, Sulisti Sumantri, Ajis Supardi, Reno Suranti, Dewi Syaputra, Sandy Ulandari, Puspa Vianis, Adittia Okta Weeildyalihumarita Weeildyalihumarita Wijaya, Ermy Wiradiansya, Edoar Wiranto, Fenggi Yesi Indian Ariska Yilistriyani Yilistriyani Yilistriyani Yilistriyani, Yilistriyani Yupianti, Yupianti Yupianti, Yupianti Yusran, Yandra Muhammad Zahesya, Favien Riza