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All Journal Jurnal Pendidikan Jasmani Indonesia Medikora: Jurnal Ilmiah Kesehatan Olahraga Media Statistika Jurnal Ilmu Dasar Diponegoro Journal of Accounting Jurnal Inovasi Pendidikan Kimia Jurnal Keolahragaan GRADIEN Jurnal Tata Kota dan Daerah SEMIRATA 2015 Psikis : Jurnal Psikologi Islami Psikohumaniora: Jurnal Penelitian Psikologi Indonesian Journal of Chemical Science Jati: Jurnal Akuntansi Terapan Indonesia BAREKENG: Jurnal Ilmu Matematika dan Terapan Motiva: Jurnal Psikologi Jurnal SPORTIF : Jurnal Penelitian Pembelajaran Aqlania Al-Hikmah: Jurnal Agama dan Ilmu Pengetahuan AN-NAFS : Jurnal Fakultas Psikologi Performance PROGRESIF: Jurnal Hukum Jurnal Sporta Saintika Alayasastra: Jurnal Ilmiah Kesusastraan Cendekia : Jurnal Pengabdian Masyarakat JOSSAE (Journal of Sport Science and Education) Dharma Raflesia : Jurnal Ilmiah Pengembangan dan Penerapan IPTEKS Jorpres (Jurnal Olahraga Prestasi) Inferensi International Journal of Research in Community Services UNES Journal of Swara Justisia JAGO TOLIS : Jurnal Agrokompleks Tolis Enthusiastic : International Journal of Applied Statistics and Data Science Journal of Islamic and Contemporary Psychology Cakrawala: Jurnal Pendidikan Journal of Pragmatics and Discourse Research Jurnal Dunia Pendidikan Indonesian Journal of Information Technology and Computing (IMAGING) Jurnal Pengabdian Reformasi Hukum Jurnal Ilmu Kehutanan Tanjungpura Journal of Coaching Research Divinitas Jurnal Filsafat dan Teologi Kontekstual The Manager Reveiew Tematik Jurnal Ekonomi dan Pembangunan Indonesia Journal of Statistics and Data Science
Sigit Nugroho
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Perlindungan Hukum Masyarakat Terhadap Kelalaian Pengelolaan Sampah di TPA Parit Enam Kota Pangkalpinang Kurniawan, Fuji; Marwan; Vira Dila, Sondang; Nugroho, Sigit
UNES Journal of Swara Justisia Vol 8 No 3 (2024): Unes Journal of Swara Justisia (Oktober 2024)
Publisher : Program Magister Ilmu Hukum Universitas Ekasakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31933/heff6w93

Abstract

Tempat Pemrosesan Akhir (TPA) Parit Enam merupakan tempat akhir pengelolaan sampah di Kota Pangkalpinang yang mengalami penumpukan sampah karena tidak dikelola dengan baik. Salah satu faktor penyebab sampah tidak dikelola yakni kurangnya sarana dan prasarana pengelolaan sampah. Tujuan penelitian ini adalah agar pengelolaan sampah  di TPA Parit Enam dapat dilaksanakan sesuai dengan prosedur yang baik dan benar  serta tersedianya fasilitas yang memadai untuk mengelola sampah. Metode penelitian ini yaitu yuridis empiris yang mengumpulkan data primer dan sekunder dengan melalui teknik wawancara dan observasi lapangan secara langsung. Hasil penelitian menjelaskan bahwa pengelolaan sampah sampah di TPA Parit Enam belum dikelola dengan maksimal khususnya terhadap sampah yang disebabkan karena fasilitas pengelolaan sampah yang tidak lengkap. Pengelolaan sampah yang baik merupakan upaya menghindari dampak negatif dari penumpukan sampah dan upaya perlindungan hukum terhadap masyarakat yang merasakan dampak negatif dari pengelolaan sampah yang belum maksimal.
SISI POSITIF SUPORTER SEPAKBOLA SEBAGAI KONSUMEN OLAHRAGA Eka Wahyudhi, Andi Sultan Brilin Susandi; Nasrullah, Ahmad; Nugroho, Sigit
Jurnal Sporta Saintika Vol 8 No 2 (2023): Jurnal Sporta Saintika Edisi September 2023
Publisher : Departemen Kesehatan Dan Rekreasi Fakultas Ilmu Keolahragaan Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/sporta.v8i2.326

Abstract

Football supporters are the lifeblood of a club, because fans can be an income source for a club. The behavior of football fans is greatly influenced by the atmosphere of the match and the safety of all parties involved. Apart from being supporters of a club, supporters can also be consumers of sports, especially football. The presence of supporters can increase the club's income by buying tickets, club marcindace, and becoming television consumers. Supporters can make the atmosphere of the game more interesting by their presence in the stadium, because it can burn the enthusiasm of football players. The other side of the presence of supporters as consumers is to unite differences between ethnicities and cultures, high solidarity between supporters, helping to popularize football through television and social media platforms, helping to maintain the health of spectators and interacting socially with fellow football fans.
Peramalan Produksi, Volume Ekspor dan Nilai Ekspor Kopi Indonesia Tahun 2025-2035 Nugroho, Sigit; Maulana, Rifqi Adrian; Pusparani, Annisa Marchelyn; Wati, Dewi Rohma
JAGO TOLIS : Jurnal Agrokompleks Tolis Vol 5 No 2 (2025): Mei
Publisher : Universitas Madako Tolitoli

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56630/jago.v5i2.764

Abstract

Penelitian ini bertujuan untuk meramalkan produksi, volume ekspor, dan nilai ekspor kopi Indonesia pada tahun 2025–2035 menggunakan metode ARIMA (AutoRegressive Integrated Moving Average). Kopi adalah komoditas unggulan Indonesia yang berkontribusi besar terhadap pertumbuhan ekonomi melalui sektor pertanian. Data yang digunakan merupakan data sekunder dari tahun 1965 hingga 2024, yang diperoleh dari Kementerian Pertanian dan Badan Pusat Statistik. Hasil analisis menunjukkan bahwa produksi kopi Indonesia diproyeksikan meningkat signifikan, didorong oleh ekspansi lahan dan tingginya permintaan global. Namun, volume ekspor kopi diperkirakan stagnan akibat rendahnya kualitas kopi yang menurunkan daya saing di pasar internasional. Sebaliknya, nilai ekspor kopi menunjukkan tren peningkatan, dipengaruhi oleh harga kopi dunia dan fluktuasi nilai tukar. Dengan hasil peramalan ini, diharapkan pemangku kepentingan dapat memaksimalkan potensi kopi sebagai komoditas unggulan di pasar internasional.
EVALUATION OF MULTIVARIATE ADAPTIVE REGRESSION SPLINES ON IMBALANCED DATASET FOR POVERTY CLASSIFICATION IN BENGKULU PROVINCE Sriliana, Idhia; Nugroho, Sigit; Agwil, Winalia; Sihombing, Esther Damayanti
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 19 No 2 (2025): BAREKENG: Journal of Mathematics and Its Application
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/barekengvol19iss2pp1143-1156

Abstract

Classification is a statistical method that aims to predict the class of an object whose class label is unknown. The Multivariate Adaptive Regression Splines (MARS) classification method is a classification model that involves several basis functions with influential predictor variables. The MARS classification model is generally effective in classifying imbalanced data, including poverty data classification. The response variable used is the poverty status of households classified into poor and non-poor households, and the predictor variables consist of several poverty indicators. The problem that often arises in classification methods is a class imbalance in the response variable. Due to the poverty status included in the class imbalance data, the Bootstrap Aggregating (Bagging) and Synthetic Minority Over-sampling Technique (SMOTE) approaches will be used to improve classification accuracy on the MARS model. Bagging works by replicating data to strengthen the stability of classification accuracy, while SMOTE works by synthesizing data from minority data classes. The evaluation results showed that the classification model of poverty in Bengkulu Province using the SMOTE-MARS method provides the best classification accuracy compared to the MARS (25.81%) and Bagging-MARS (32.26%) methods based on the sensitivity value obtained, which is 85.36%.
ANALYSIS OF THE EXISTENCE OF THE AGRICULTURAL SECTOR IN MODELING POVERTY IN BENGKULU PROVINCE USING GAUSSIAN COPULA MARGINAL REGRESSION Nugroho, Sigit; Rini, Dyah Setyo; Novianti, Pepi; Crisdianto, Riki; Karuna, Elisabeth Evelin; Fairuzindah, Athaya
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 19 No 2 (2025): BAREKENG: Journal of Mathematics and Its Application
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/barekengvol19iss2pp1251-1262

Abstract

Bengkulu Province ranks second in the category of the highest percentage of poor people in the Sumatra region, at 14.62% in March 2022, and sixth in Indonesia, which is undoubtedly one of the fundamental problems that requires mutual attention. The phenomenon of high poverty in Bengkulu Province is inseparable from the lives of people whose main livelihood is in the agricultural sector, especially tenant farmers. Therefore, in this study, the Copula and Gaussian Copula Marginal Regression (GCMR) methods are applied to determine how the agricultural sector affects poverty in Bengkulu Province using secondary data obtained from the Bengkulu Provincial Statistics Agency (Susenas 2022). The results show that the Copula model can identify various types of dependency between the number of poor households in each district/city in Bengkulu Province in 2022 and each of the variables, namely the Number of Agricultural Business Households , the Growth Rate of the Agricultural Sector , the Human Development Index , and the Open Unemployment Rate ( ) by considering the different characteristics of dependency such as top-tail, bottom-tail, or negative dependency. Meanwhile, the GCMR model can provide the direction of influence of the independent variables on the dependent variable Y, where it can be seen that the variables , , and have a negative influence on the variable , whie the variable has a positive impact on the variable . Therefore, in general, it can be concluded that either positive or negative dependencies identified by the Copula model can influence the resulting GCMR model by providing more profound complexity regarding the relationship between the variables analyzed.
The impact of teaching games for understanding and direct instruction models on volleyball passing skills based on arm strength Ciptadi, Zaniar Dwi Prihatin; Nugroho, Sigit; Adriani, Desi; Singh, Laishram Thambal
Tanjungpura Journal of Coaching Research Vol. 3 No. 2 (2025): Tanjungpura Journal of Coaching Research
Publisher : Universitas Tanjungpura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26418/tajor.v3i2.89687

Abstract

Background and Study Aim. The Teaching Games for Understanding (TGFU) model emphasizes tactical understanding of the game, while Direct Instruction is more oriented towards explicit instruction and repetitive practice. Therefore, this study aims to analyze the effect of TGFU and Direct Instruction learning models on volleyball lower passing skills based on students' arm strength.Material and Methods. This study used an experimental design with a 2x2 factorial design, involving two independent variables, namely the learning model (TGFU and Direct Instruction) and arm strength (high and low). The sampling technique used was random sampling based on the results of the initial test or pretest and obtained 36 as a sample. Statistical tests used include the Shapiro-Wilk normality test, Levene's homogeneity test, and hypothesis testing using the Paired t-test, Wilcoxon, Independent Samples Test, and ANOVA with the help of SPSS 26.Results. The results of the analysis showed that both learning models (Teaching Games for Understanding and Direct Instruction) had a significant effect on volleyball lower passing skills (p<0.05). However, there is no significant difference between the two learning models (p>0.05), so both have the same effectiveness in improving passing skills. Meanwhile, arm strength showed a significant difference on volleyball passing skills (p=0.000), confirming that this physical factor plays a role in learning outcomes.Conclusions. The results of this study can be used as a reference for educators and coaches in designing learning methods that are more effective and in accordance with the physical characteristics of students. By understanding the interaction between learning models and arm strength, it is hoped that the volleyball learning process can be optimized, so that students can achieve better performance in lower passing skills.
Forecasting A Weekly Red Chilli Price in Bengkulu City Using Autoregressive Integrated Moving Average (ARIMA) and Singular Spectrum Analysis (SSA) Methods Putriasari, Novi; Nugroho, Sigit; Rachmawati, Ramya; Agwil, Winalia; Sitohang, Yosep O
Journal of Statistics and Data Science Vol. 1 No. 1 (2022)
Publisher : UNIB Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33369/jsds.v1i1.21007

Abstract

Red chili occupies a strategic position in the Indonesian economic structure because its use applies to almost all Indonesian dishes. Therefore, controlling the price of red chili is anecessity to maintain national economic stability. The purpose of this research is to forecast a red chili weekly price using ARIMA and SSA based on the weekly data of chili prices from January 2016 - December 2019 sourced from Statistics Indonseia (BPS) Branch Office of Bengkulu Province. The data have been analyzed using software R. Based on MAPE, ARIMA (2,1,2) provides the best forecasting with value 0.49% while SSA 10.64%.
Agglomerative Nesting (AGNES) Method and Divisive Analysis (DIANA) Method For Hierarchical Clustering On Some Distance Measurement Concepts Wijuniamurti, Susi; Nugroho, Sigit; Rachmawati, Ramya
Journal of Statistics and Data Science Vol. 1 No. 1 (2022)
Publisher : UNIB Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33369/jsds.v1i1.21009

Abstract

Clustering data through hierarchical approach could be performed by Agglomerative Nesting (AGNES) Method and Divisive Analysis (DIANA) Method. The objective of this research is to compare both the methods based on Euclid and Manhattan distance measurements. Of this research the clustering procedures of agglomerative method are conducted by exploring all techniques including single linkage, complete linkage, average linkage, and Ward. The data used are the National Socio-Economic Survey (SUSENAS) data which are selected specifically for the percentage of over 5 year old residents in each province, for both living in urban or rural, who access the internet in the last 3 months in 2017 but classified according purpose of accessing. By applying Mean Square Error (MSE) for 2 and 3 clusters, it can be concluded that the single linkage technique is the best performance of clustering procedure for both Euclidean and Manhattan distances.
Partitioned Design Matrix Method for Two Factors Multivariate Design Alvionita, Renny; Nugroho, Sigit; Chozin, Mohammad
Journal of Statistics and Data Science Vol. 1 No. 1 (2022)
Publisher : UNIB Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33369/jsds.v1i1.21010

Abstract

Factorial experiment often involves large data sets and the use of generalized inverse for the data analysis. It becomes less manageable as the data increased. The objective of this study is to evaluate the accuracy of partitioned design matrix method for two factors multivariate design. The design matrix is partitioned into several sub-matrices based on their source of variation. The partitioned design matrix method in two factors multivariate is much simpler than usual sigma summation method in calculating the sum of product matrix and the degrees of freedom. This method could also be used in explaining the derivation of the statistics for testing the hypothesis of the equality of the means which corresponds to the source of variation.
A Comparison of Weighted Least Square and Quantile Regression for Solving Heteroscedasticity in Simple Linear Regression Fransiska, Welly; Nugroho, Sigit; Rachmawati, Ramya
Journal of Statistics and Data Science Vol. 1 No. 1 (2022)
Publisher : UNIB Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33369/jsds.v1i1.21011

Abstract

Regression analysis is the study of the relationship between dependent variable and one or more independent variables. One of the important assumption that must be fulfilled to get the regression coefficient estimator Best Linear Unbiased Estimator (BLUE) is homoscedasticity. If the homoscedasticity assumption is violated then it is called heteroscedasticity. The consequences of heteroscedasticity are the estimator remain linear and unbiased, but it can cause estimator haven‘t a minimum variance so the estimator is no longer BLUE. The purpose of this study is to analyze and resolve the violation of heteroscedasticity assumption with Weighted Least Square(WLS) and Quantile Regression. Based on the results of the comparison between WLS and Quantile Regression obtained the most precise method used to overcome heteroscedasticity in this research is the WLS method because it produces that is greater (98%).
Co-Authors Abda Abda Abiyyu Amajida Achmad Binadja Achmad Djunaedi Adesi, Putri Adi Indrayanto Adriani, Desi Agi Ginanjar Agung Juliarto Agung Tri Prasetya Agwil, Winalia Ahmad Nasrulloh Alvionita, Renny Alwansyah, Muhammad Arib Andri Yanto Ari Agung Nugroho, Ari Agung Arief, Yanwar Arief, Yanwar Aristya, Irma Sendy Arono Arono Asmawati, Puji Ayu Lestari, Wina Azhar Abdul Rahman, Azhar Abdul Bahri, Syuhada Bayubuana, Muhammad Gabdika Bayubuana Betarina , Nurmalia Buyung Keraman Cerika Rismayanthi Cinta Rizki Oktarina Ciptadi, Zaniar Dwi Prihatin Crisdianto, Riki Danny Eka Wahyu Saputra Dewantara, Julian Doni Pranata Duwi Kurnianto Pambudi Dyah Setyo Rini Edmizal, Eval Eka Swasta Budayati Eka Wahyudi, Andi Sultan Brilin Susandi Eken, Özgür Fachri Faisal Fadhlia, Tengku Nila Fadli Ihsan Fairuzindah, Athaya Fakhrurozi, Zaza Afnindar Fakhrurozi5, Zaza Afnindar Fatkurahman Arjuna Feriza, Firman Firdaus Firdaus Firmansyah, Didi Fitrian, Zanzabil Adwa Fransiska, Welly Gumilar, Andri Tresna Haidar, Muhammad Daffa Hardiansyah Hardiansyah Haryanti, Wenny Herawati, Icha Herlin Fransiska Hermalia, Hermalia Hidayat, Bahril Hikmah, Faidatul Idhia Sriliana Iskandar, Doddy Aditya Istislami, Yosuja Jomecho, Tommy Jose Rizal Jose Rizal Judin Purwanto, Judin Juliati, Kurnia Jumrianti, Feni Karuna, Elisabeth Evelin Kurniawan, Fuji Kurniawan, Yohan Lestari, Reza Lestari, Wina Ayu Leybina, Anna V Listyani, Nilla Lubis, Layla Takhfa Mahira, Rina Manihuruk, FransFile Margono, Belinda Arunarwati Mariati, Dian Sri Marwan Maulana, Rifqi Adrian Mohammad Chozin, Mohammad Muhammad Salman Muliadi, Rahmad Mulyawan, Rizki Murgolo, Michael Nanang Wahyudin Napitupulu, Lisfarika Nasution, Silvia Fauziah Naury, Chairullah Neni Lismareni, Neni Novi Susanti Nur Ahmad Ricky Rudianto Nur Fitriyana Okka Adittio Putra Oktarina, Cinta Rizky Pandu Winata, Aji Panganiban, Teejay D. Pantjarani, Ari Pepi Novianti Perdana, Satya Pongsiri, Tatpicha Praningrum Pratiwi, Stevy Cahya Pusparani, Annisa Marchelyn Putriasari, Novi Qorifah, Nasha Nuryati Rachmah Laksmi Ambardini Rahayu, Sundari Putri Ramya Rachmawati Razak, Ateerah Abdul Resi Vusvitasari Reza Pahlepi, Reza Rezha Arzhan Hidayat Rifky Riyandi Prastyawan Riky Dwihandaka Rina Yuniana Rohani, Tri Rulyanti Susi Wardhani Salsabilla, Intan Sari, Meyritha Trifina Sarumpaet, Mey Yanti Seger Handoyo Shahadan, MD Azman Sihombing, Esther Damayanti Singh, Laishram Thambal Sitohang, Yosep O Slamet Widodo Sri Wahyuni SRI WARDANI Stojanović, Stefan Sujadmi, Sujadmi Sulistiyono Sulistiyono Sumarjo, Sumarjo Sumaryanti Sumaryanti Sumaryanti Sumaryanto Sumaryanto, Sumaryanto Sunandi, Etis Sunaryo Sunaryo Suparyono, Sita Wardhani Suryadi Suryadi Syahada, Sri Syahrul Akbar Talib, Kamal bin Tri Hadi Karyono Umi Kalsum Vira Dila, Sondang Wali, Carles Nyoman Wang, Ziyu Wati, Dewi Rohma Wawan Sundawan Suherman Wenni Anggita, Wenni Widiantoro, Didik Widiyatno Widodo, Fanani Haryo Widodo Widodo, Haryo Wijuniamurti, Susi Wiwin Hendriani Yanuar Rachman Sadewa Yassin, Abdulnassir Yudik Prasetyo YULIANA RAHMAWATI, YULIANA