Article Per Year (5 Year)
p-Index From 2021 - 2026
3.749
P-Index
This Author published in this journals
All Journal EKSAKTA: Journal of Sciences and Data Analysis JURNAL MATEMATIKA STATISTIKA DAN KOMPUTASI Media Ekonomi dan Manajemen Jurnal Matematika dan Statistika serta Aplikasinya (Jurnal MSA) DERIVATIF Emerging Science Journal BAREKENG: Jurnal Ilmu Matematika dan Terapan Journal of Honai Math Specta Journal of Technology ESTIMASI: Journal of Statistics and Its Application Science Nature Journal of Science and Science Education International Journal of Digital Entrepreneurship and Business (IDEB) Hasanuddin Journal of Sociology (HJS). Jurnal Manajemen dan Pemasaran Jasa Prosiding Konferensi Nasional Penelitian Matematika dan Pembelajarannya Journal of Mathematics, Computation and Statistics (JMATHCOS) Biodiversitas Journal of Biological Diversity
Georgina Maria Tinungki
Departemen Statistika, Universitas Hasanuddin
Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Physics Social Sciences Transportation Other

Published : 29 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 29 Documents
Search

 1   2   3 
Model Robust Geographically Weighted Regression pada Data Kemiskinan di Sulawesi Selatan Tahun 2019 Rahman, Aqilah Salsabila; Tinungki, Georgina Maria; Herdiani, Erna Tri
ESTIMASI: Journal of Statistics and Its Application Vol. 6, No. 2, Juli, 2025 : Estimasi
Publisher : Hasanuddin University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20956/ejsa.v6i2.18046

Abstract

Geographically Weighted Regression (GWR) is a method of spatial analysis that can be used to perform analysis by assigning weights based on the geographical distance of each observation location and the assumption of having spatial heterogenity. The result of this analysis is an equation model whose parameter values apply only to each observation location and are different from other observation locations. However, when there are outliers at the observation location, a more robust estimation method is needed. One of the robust methods that can be applied to the GWR model is the Least Absolute Deviation method. In this study, model estimation was carried out on the factors that affect poverty in South Sulawesi in 2019 using Robust Geographically Weighted Regression (RGWR) with the Least Absolute Deviation (LAD) method. Determination of weighting is done by using the adaptive kernel bisquare weighting function. The results obtained are RGWR models which are different and apply only to each district/city in South Sulawesi. In addition, it was also found that the RGWR model with the LAD method was the best model for data that experienced spatial heterogenity and contained outliers.
THE APPLICATION OF GUMBEL COPULA TO ESTIMATE VALUE AT RISK WITH BACKTESTING IN TELECOMMUNICATION STOCK Najiha, Alimatun; Herdiani, Erna Tri; Tinungki, Georgina Maria
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 17 No 1 (2023): BAREKENG: Journal of Mathematics and Its Applications
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (384.546 KB) | DOI: 10.30598/barekengvol17iss1pp0245-0252

Abstract

The Value at Risk (VaR) method refers to a statistical risk measurement tool used to determine the maximum loss of an investment, while the distribution that must be met is the normal distribution. This is not in line with the actual situation, because the distribution of the return value is found to be not normally distributed but depends on market conditions that occurred at that time, thus invalidating the VaR estimate and resulting in greater portfolio risk. Therefore, in this study, the estimation of risk value will be carried out using the Gumbel Copula method which can model the dependency structure between stocks and is flexible enough to model financial return data from https://finance.yahoo.com/. The parameter estimates produced by the Gumbel Copula method are then used to calculate the VaR at 90%, and 99% confidence levels. The resulting VaR values ​​are 0,076 and 0.231. To test the feasibility of the VaR model, backtesting was carried out and concluded that the VaR value obtained was valid and suitable for use in the risk assessment of PT. XL Axiata Tbk and PT. Telkomunikasi Indonesia Tbk.
PERFORMANCE COMPARISON OF K-MEDOIDS AND DENSITY BASED SPATIAL CLUSTERING OF APPLICATION WITH NOISE USING SILHOUETTE COEFFICIENT TEST Akbar, Taufiq; Tinungki, Georgina Maria; Siswanto, Siswanto
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 17 No 3 (2023): BAREKENG: Journal of Mathematics and Its Applications
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/barekengvol17iss3pp1605-1616

Abstract

Cluster analysis is a technique for grouping objects in a database based on their similar characteristics. The grouping results are said to be good if each cluster is homogeneous, and can be validated using the silhouette coefficient test. However, the presence of outliers in the data can affect the grouping results, so methods that are robust to outliers are used, such as K-Medoids and Density-Based Spatial Clustering of Applications with Noise. The purpose of this study is to compare the results and performance of the two methods using the silhouette coefficient test on data on human development indicators in South Sulawesi Province in 2021. The results of the analysis show that K-Medoids produced 2 groups, namely the districts/cities group which has indicators of human development that consist of 21 districts/cities, and the high group, which consists of 3 districts/cities, while Density-Based Spatial Clustering of Application with Noise produces 1 group that has the same characteristics, which consists of 19 districts/cities, and the remaining 5 districts/cities are identified as noise. Based on the silhouette coefficient test, K-Medoids have a greater value than Density-Based Spatial Clustering of Application with Noise, namely 0,635 and 0,544, respectively, so that K-Medoids have better performance.
Melacak Melacak Jejak Pa'busur: Investigasi Agresivitas dan Pemetaan Wilayah Rawan sebagai Upaya Meningkatkan Sense of Security Masyarakat di Kota Makassar Muh. Hadrianto; Chendra, Rita Ruth Chendra; Abdul Fathin Fawwaz; Amirullah, Andini Riantika Putri Amirullah; Hamzah, Hadi Siswadi Hamran; Georgina Maria Tinungki
Hasanuddin Journal of Sociology (HJS) VOLUME 6, ISSUE 2, 2024
Publisher : Department of Sociology Faculty of Social and Political Sciences

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

Abstract

Fenomena kriminalitas di Kota Makassar, khususnya tindak pidana pa'busur, perlu mendapat perhatian serius karena berdampak pada keamanan masyarakat. Tindak pidana pa'busur melibatkan penggunaan busur dan anak panah sebagai senjata dan sering dilakukan secara acak. Penelitian ini bertujuan untuk mengidentifikasi dan menganalisis faktor penyebab serta memetakan wilayah rawan tindak pidana pa'busur di Kota Makassar guna meningkatkan keamanan masyarakat. Penelitian ini menggunakan pendekatan metode campuran dengan metodologi kualitatif dan kuantitatif. Data primer dikumpulkan melalui observasi dan wawancara dengan pelaku dan korban. Analisis kualitatif menggunakan model analisis interaktif Miles & Huberman, sedangkan analisis kuantitatif menggunakan klastering K-Means untuk memetakan wilayah rawan. Hasil penelitian menunjukkan bahwa faktor lingkungan, dendam, dan perlindungan diri merupakan faktor utama yang menyebabkan tingginya angka tindak pidana pa'busur. Pemetaan kerentanan mengkategorikan wilayah di Kota Makassar menjadi tiga kategori, yaitu aman, rentan, dan sangat rentan. Wilayah Biringkanaya dan Tallo diidentifikasi sebagai wilayah yang sangat rentan. ABSTRAK Fenomena kriminalitas di Kota Makassar, khususnya pa'busur , memerlukan perhatian serius mengingat dampaknya terhadap rasa aman masyarakat. Pa'busur adalah kejahatan yang menggunakan busur dan anak panah sebagai senjata, seringkali dilakukan secara acak. Penelitian ini bertujuan mengidentifikasi dan menganalisis faktor penyebab serta memetakan wilayah rawan pa'busur di Kota Makassar guna meningkatkan rasa aman masyarakat. Metode penelitian yang digunakan adalah metode campuran ( mixed-methods ) dengan pendekatan kualitatif dan kuantitatif. Data primer diperoleh melalui observasi, wawancara dengan pelaku dan korban. Analisis kualitatif menggunakan model analisis interaktif Miles & Huberman, sementara analisis kuantitatif menggunakan metode K-Means clustering untuk memetakan wilayah rawan. Hasil penelitian menunjukkan bahwa faktor lingkungan, balas dendam, dan perlindungan diri adalah penyebab utama tingginya angka pa'busur . Pemetaan wilayah rawan mengelompokkan daerah di Kota Makassar menjadi tiga kategori: tidak rawan, rawan, dan sangat rawan, dengan Biringkanaya dan Tallo sebagai wilayah sangat rawan.
Strategic Dividend Policy Adaptation and Stock Market Reactions in State-Owned Enterprises Across Crises Georgina Maria Tinungki; Powell Gian Hartono; Nurhafifah Amalina; Dewie Tri Wijayati Wardoyo; Reniati Karnasi; Gatri Lunarindiah; Marieta Ariani; Lidia Wahyuni
Emerging Science Journal Vol. 10 No. 2 (2026): April
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/ESJ-2026-010-02-012

Abstract

This study investigates the strategic adaptation of dividend policy in Indonesian state-owned enterprises across the pre-crisis, crisis, and recovery phases. Adaptation is operationally defined as firm-level, measurable changes in cash dividend indicators during the crisis and post-crisis phases relative to the pre-crisis average. Empirically, dividend behavior is estimated using a dynamic panel framework with system GMM, and an event-study approach evaluates abnormal returns and cumulative abnormal returns around dividend announcement dates in each phase. The results indicate that SOEs increased dividends during the crisis relative to pre- and post-crisis periods, and that the market exhibited stronger positive reactions in the crisis and recovery phases than in the pre-crisis phase. These patterns suggest adaptive choices consistent with managing uncertainty and reinforcing policy credibility within Indonesia’s state-ownership setting. The findings highlight the strategic role of dividend signals in shaping investor perceptions during economic shocks, while theoretically challenging the core cash-conservation premise of the pecking order and reinforcing the relevance of signaling theory for state-controlled firms with complex fiscal and political mandates.
Penggunaan Metode Fuzzy C-Means untuk Pengelompokan Kabupaten/Kota Berdasarkan Jumlah Tenaga Kesehatan Syam, Surya Cahyadi; Tinungki, Georgina Maria; Kalondeng, Anisa
ESTIMASI: Journal of Statistics and Its Application Vol. 7, No. 1, Januari, 2026 : Estimasi
Publisher : Hasanuddin University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20956/ejsa.v7i1.29906

Abstract

Clustering is the process of partitioning data into a number of clusters, which in the cluster have similar characteristics to one another and have differences with other clusters. In this study, clustering is used to group district/cities based on the number of health workers in South Sulawesi using fuzzy c-means. To get the results of grouping, there are 11 health worker variables used. In determining the optimum number of clusters, the Pseudo F-Statistic is used. In the first test, the optimum cluster was obtained in 5 groups and the second test was in 6 groups without makassar and bone. From the clustering analysis in the first test, it was found that groups 2 and 3 only have one member. In the second test, group 1 had 4 members, groups 2 and 6 had 3 members, group 3 had 2 members, and groups 4 and 5 had 5 members.
Did investment opportunity moderate the influence of the COVID-19 crisis on dividend policy? Powell Gian Hartono; Georgina Maria Tinungki; Yuyun Karystin Meilisa Suade; Liana Rahardja; Novika Ayu Triany; Isthi Wahyuning Tyas; Patrick Gunawan Hartono
Jurnal Manajemen dan Pemasaran Jasa Vol. 17 No. 2 (2024): September
Publisher : Lembaga Penerbit Fakultas Ekonomi dan Bisnis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25105/v17i2.20006

Abstract

During the COVID-19 crisis, the investment opportunity experienced a low condition, indicated by a decrease in the market price to book value during the crisis, believed to moderate the impact of the COVID-19 crisis on dividend policy, specifically focusing on companies within the real estate and property sector in Indonesia. Therefore, this study examines the effect of the COVID-19 crisis, measured by GDP growth, on dividend policy moderated by investment opportunity. Employing a quantitative approach, the research spans from 2014 to 2021, using a purposive sampling technique to select 31 real estate and property sector companies as samples. Statistical analysis is conducted using dynamic panel data regression, employing the System-Generalized Method of Moments with a Two-Step estimator to produce more efficient parameter estimates and accommodate the dynamics of dividend policy. The findings reveal that during the COVID-19 crisis, companies in this sector tended to adopt higher dividend policies than non-crisis periods. Furthermore, investment opportunity was proven to positively moderate the influence of the COVID-19 crisis, proxied by GDP growth, on dividend policy. This study has implications for company management when considering investment opportunities that can moderate dividend policy during a crisis. Additionally, it advises investors to pay attention to the moderation of investment opportunities on the impact of the COVID-19 crisis on dividend policy to achieve optimal stock investment returns, especially dividend returns. The originality of this research lies in testing the moderation of investment opportunity on the impact of the COVID-19 crisis on dividend policy.
The Determinants of Dividend Policy: An Empirical Study of Inconsistent Distribution of Dividends Using Balanced Panel Data Analysis Powell Gian Hartono; Wahyuni Rusliyana Sari; Georgina Maria Tinungki; Jakaria Jakaria; Agus Budi Hartono
Media Ekonomi dan Manajemen Vol 36, No 2 (2021): July 2021
Publisher : Fakultas Ekonomika dan Bisnis UNTAG Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (519.718 KB) | DOI: 10.24856/mem.v36i2.2023

Abstract

The inconsistent distribution of dividends is a unique phenomenon and it needs to be examined. Therefore, the purpose of this study is to examine ten predictors affecting dividend policy of the inconsistent distribution of dividends. This study used the purposive sampling method to analyze the data that were obtained from a total sample of 133 observation objects collected in the 19 real estates, property, and building construction companies listed on the IDX Between 2013 - 2019. Furthermore, the method used is hypotheses testing and statistical analysis tool used is the hierarchical multiple panel data regression with the Least Squares Dummy Variables. The results obtained from panel A are firm risk, financial leverage, and investment opportunity that affect the dividend policy. Meanwhile, the panel B results are company risk, financial leverage, investment opportunity, and previous dividend, although the previous dividend had no effect due to the different direction of influence. This study proves the determinants and relevance of the parametric statistical analysis in the inconsistent distribution of dividends. Moreover, it is useful for managerial practitioners to pay attention to predictors for increasing company performances and to ensure investors obtain optimal return of their dividend.
Combining eDNA metabarcoding and conventional method in rapid screening of fish diversity in Maros-Pangkep Global Geopark, South Sulawesi, Indonesia AMBENG AMBENG; MUHAMMAD IQRAM; MAGDALENA LITAAY; ZOHRAH HASYIM; WILMA J. C. MOKA; GEORGINA MARIA TINUNGKI
Biodiversitas Journal of Biological Diversity Vol. 25 No. 2 (2024)
Publisher : Society for Indonesian Biodiversity

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13057/biodiv/d250242

Abstract

Abstract. Ambeng, Iqram M, Litaay M, Hasyim Z, Moka WJC, Tinungki GM. 2024. Combining eDNA metabarcoding and conventional method in rapid screening of fish diversity in Maros-Pangkep Global Geopark, South Sulawesi, Indonesia. Biodiversitas 25: 819-828. A newly designated geopark by UNESCO, Maros-Pangkep Global Geopark, South Sulawesi, Indonesia owns great geodiversity, exceptional cultural heritage, and high biodiversity. However, the global biodiversity crisis that has hit the earth might also occur in Maros-Pangkep river systems, potentially threatening endemic freshwater fish and all other biota. It has been reported that there is high pressure on the environment along the watershed in the Maros-Pangkep rivers, including a high sedimentation rate downstream, which is linked to extreme erosion upstream and could eventually affect fish populations such as endemic ones. This should prompt a call for the authorities to build a strategy for monitoring and documenting aquatic biota such as fish to preserve biodiversity. Environmental DNA (eDNA) could be considered a method for monitoring fish species based on the DNA traces they shed in the water. Hence, this study aims to use eDNA to survey fish biodiversity in several rivers in the Maros-Pangkep Global Geopark and compare the result against the traditional gillnet method. The results showed that using two methods, 29 fish species in 19 families and 15 orders were obtained from the three rivers. Despite the majority of detected species, 25 species, as the result of using eDNA, 4 species were only detected using a traditional method which eDNA failed to identify. Among those species, several endemic and non-native species were successfully identified by either one or both methods. This could eventually be a suggestion for responsible authorities in biodiversity conservation to combine both approaches to monitor and conserve local biodiversity.
Co-Authors A. Muthiah Nur Angriany Abdul Fathin Fawwaz Agus Budi Hartono Agus Budi Hartono AMBENG AMBENG Amirullah, Andini Riantika Putri Amirullah Andi Isna Yunita Andi Kresna Jaya Anisa Anisa Asti Inayati Magfirah Chendra, Rita Ruth Chendra Dewie Tri Wijayati Wardoyo Fachry Abda El Rahman Fahrul Usman Fathanah, Nur Gatri Lunarindiah Hamzah, Hadi Siswadi Hamran Herdiani, Erna Tri Iis Cendrah kasih Isthi Wahyuning Tyas Jakaria Jakaria Kalondeng, Anisa Kiandra Putri Susanto Lestari, Henny Setyo Liana Rahardja Lidia Wahyuni Magdalena Litaay Marieta Ariani Mega Selvia Tjahaya Muh. Hadrianto MUHAMMAD IQRAM Nasrah Sirajang Novika Ayu Triany Nurhafifah Amalina Nurhidaya L NURTITI SUNUSI Patrick Gunawan Hartono Powell Gian Hartono Rahman, Aqilah Salsabila Raja, Nur Alfianingsih Raupong Raupong Raupong, Raupong Reniati Karnasi Richy Wijaya S Siswanto Sahriman, Sitti Sirajang, Nasrah Sonya, Sonya Syam, Surya Cahyadi Taufiq Akbar Trigarcia Maleachi Randa Victor Liman Waibusi, Hendriete Tiur Marowi WILMA J. C. MOKA Yuyun Karystin Meilisa Suade ZOHRAH HASYIM