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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 Indonesian Journal of Applied Statistics BAREKENG: Jurnal Ilmu Matematika dan Terapan JTAM (Jurnal Teori dan Aplikasi Matematika) Motiva: Jurnal Psikologi Teorema: Teori dan Riset Matematika Jurnal SPORTIF : Jurnal Penelitian Pembelajaran Aqlania Al-Hikmah: Jurnal Agama dan Ilmu Pengetahuan AN-NAFS : Jurnal Fakultas Psikologi Performance PROGRESIF: Jurnal Hukum Jurnal Public Policy Jurnal Sporta Saintika Alayasastra: Jurnal Ilmiah Kesusastraan Cendekia : Jurnal Pengabdian Masyarakat Jurnal Pengabdian Masyarakat Bumi Raflesia 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 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 Journal of Global Strategic Studies 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 Jurnal Jurisprudence
Sigit Nugroho
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Journal : journal of statistics and data science

 1 
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%).
Simulation of Sample Determination Quick Count Legislative Elections In Bengkulu City Gumilar, Andri Tresna; Nugroho, Sigit; Keraman, Buyung
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.v1i1.21012

Abstract

In this research illustrates the simulation of quick count of sampling for the year 2014 Legislative Election in Bengkulu City, which has a data acquisition result for 589 TPS. The problem in this research is how to know the sample size and the right sampling method for Legislative Election in Bengkulu City on Year 2014. The purpose of this research is to know the sample size and the quick count calculation sampling method that can predict the actual vote result for Legislative Election. The method used in the calculation of fast calculation consists of three methods, simple random sampling, cluster random sampling and multistage random sampling. From the population data of 589 polling stations (TPS) into the population, the sample size was taken as much as 120 TPS or about 20% of the population, based on the results of calculations for sample sizes in a limited population. After the sample was selected, a sample simulation of 100 times for each method and simulation results was tested for compatibility with the chi-squared test. Based on the test results, it can be concluded that for sample size 120 TPS taken by simple random sampling method, cluster random sampling or multistage random sampling can predict the actual vote result in Legislative Election Year 2014 in Bengkulu with margin of error 5%. For efficiency consideration simple random sampling method can be selected.
Sentiment Analysis of Twitter User’s Perceptions of the Campus Merdeka Using Naïve Bayes Classifier and Support Vector Machine Methods Salsabilla, Intan; Alwansyah, Muhammad Arib; Nugroho, Sigit; Agwil, Winalia
Journal of Statistics and Data Science Vol. 2 No. 2 (2023)
Publisher : UNIB Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33369/jsds.v2i2.30577

Abstract

The Campus Merdeka program is being implemented by the government to realize autonomous and flexible learning in tertiary institutions to create a learning culture that is innovative, not restrictive, and the needs of students. The Campus Merdeka provides added value and is attractive and provides various responses from the public both directly and on different social media platforms. One of the social media platforms is Twitter. Therefore, research was conducted on the community's response to the Campus Merdeka program on Twitter social media. Twitter documents in the form of community response tweets to the Campus Merdeka program are classified into two categories, namely positive responses and negative responses. The method used in this study is the Naïve Bayes Classifier (NBC) and Support Vector Machine (SVM) with a Polynomial Degree 2 kernel. The highest level of accuracy resulting from this research is 73.5% with a parameter value of  of 0.5, a constant value  is 0.5, with training data of 309 documents for training data and 132 documents for test data. The accuracy results obtained for the Naïve Bayes Classifier method are 65.9% and for the Support Vector Machine method, an accuracy is 73.5%.
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

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 a necessity 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 K (2,1,2) provides the best forecasting with value 0.49% while SSA 10.64%.
The Disparity of Maternal and Neonatal Death Modeling in Sumatra Region Using Geographically Weighted Bivariate Negative Binomial Regression Bayubuana, Muhammad Gabdika Bayubuana; Nugroho, Sigit; Rini, Dyah Setyo; Alwansyah, Muhammad Arib
Journal of Statistics and Data Science Vol. 3 No. 2 (2024)
Publisher : UNIB Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33369/jsds.v3i2.41285

Abstract

The Sumatra region occupies the second highest rank in terms of Maternal Mortality Rate (MMR) and Neonatal Mortality Rate (NMR) in Indonesia in 2020. Many factors are thought to have influenced these two cases, both directly and indirectly. So it is necessary to do an analysis to find out what factors influence MMR and NMR. The methods that can be used to determine these factors are Bivariate Negative Binomial Regression (BNBR) and Geographically Weighted Bivariate Negative Binomial Regression (GWBNBR). The results of the analysis show that the Deviance Information Criterion (DIC) in GWBNBR is smaller than BNBR, so GWBNBR is better than BNBR in modeling MMR and NMR in the Sumatra Region in 2020.
Forecasting Export Value of Bengkulu Province Through Pulau Baai Harbour with ARIMA, ANN, and Hybrid ARIMA-ANN Approach Lestari, Wina Ayu; Nugroho, Sigit; Widodo, Fanani Haryo Widodo
Journal of Statistics and Data Science Vol. 3 No. 1 (2024)
Publisher : UNIB Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33369/jsds.v3i1.41289

Abstract

Forecasting is a process of predicting future events based on past event data. One of the time series models that can be used for forecasting is the Autoregressive Integrated Moving Average (ARIMA). The advantages of ARIMA are in the accuracy and flexibility of its forecasting in representing several different types of time series, but the main limitation is the linear form of the model which causes ARIMA to be unable to capture non-linear patterns in the data. An alternative model for time series modeling is Artificial Neuron Network (ANN). ANN can overcome the weaknesses of ARIMA, but cannot handle linear and nonlinear patterns of the data simultaneously. As an effort to improve forecasting accuracy, Hybrid ARIMA-ANN is carried out by taking advantage of the supremacy of ARIMA and ANN. This study aims to obtain the best model for forecasting the export value of Bengkulu Province, a model generated by the time series data of export values issued by Pulau Baai Harbour from January 2014 to June 2022. The result shows that the best model for predicting the export value of Bengkulu Province is the ARIMA-ANN hybrid model with MAAPE of 0.5289 and MASE of 0.7664.
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 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 Pangesti, Riwi 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 Hersiana, Sivi Herza, Herza Hidayat, Bahril Hidayat, Novendra Hikmah, Faidatul Idhia Sriliana Iskandar, Doddy Aditya Istislami, Yosuja Jomecho, Tommy Jose Rizal Jose Rizal Judin Purwanto, Judin Juliati, Kurnia Jumrianti, Feni Juniarti, Aisa Karuna, Elisabeth Evelin Kurniawan, Fuji Kurniawan, Yohan Lestari, Reza Lestari, Wina Ayu Leybina, Anna V Listyani, Nilla Lubis, Layla Takhfa Luthfiyah, Aisyah Enggel Mahira, Rina Manihuruk, FransFile Margono, Belinda Arunarwati Mariati, Dian Sri Marwan Maulana, Rifqi Adrian Mohammad Chozin, Mohammad Mudin Simanihuruk Muhammad Salman Muliadi, Rahmad Mulyawan, Rizki Murgolo, Michael Mursalim, Rahmat Mutiara Pratiwi, Mutiara MUTMAINAH Nanang Wahyudin Napitupulu, Lisfarika Nasution, Silvia Fauziah Naury, Chairullah Neni Lismareni, Neni Novi Susanti Nur Afandi Nur Fitriyana Nurul Hidayati Okka Adittio Putra Oktarina, Cinta Rizky 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 Rohmatiah, Ahadiati Salsabilla, Intan Sari, Meyritha Trifina Sarumpaet, Mey Yanti Sebastian, Leonard Seger Handoyo Shahadan, MD Azman Sihombing, Esther Damayanti Singh, Laishram Thambal Sitohang, Yosep O Slamet Widodo Solly Aryza 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 Susi Wijuniamurti Swita, Baki 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 Yoga Pratama Yudik Prasetyo YULIANA RAHMAWATI, YULIANA