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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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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%.
Enhancing Data Visualization Competencies Through Power BI Training Agwil, Winalia; Sunandi, Etis; Rizal, Jose; Faisal, Fachri; Nugroho, Sigit; Syahada, Sri; Hermalia, Hermalia
International Journal of Research in Community Services Vol 6, No 2 (2025)
Publisher : Research Collaboration Community (RCC)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46336/ijrcs.v6i2.901

Abstract

Vocational High School (SMK) aims to prepare students with the skills and knowledge required to meet industry demands. Recognizing the importance of data analysis and visualization in the workforce, this community service focuses on enhancing these competencies among SMKN 04 Kota Bengkulu students, particularly those in the Software Engineering program. A community service program was conducted to train students in utilizing Power BI for real-time and interactive data visualization. The training program included preparatory surveys, module development, and practical workshops. Students actively participated, demonstrating a greater interest and understanding of data visualization concepts. Evaluation results showed that 89% of participants found the training beneficial, and 84% mastered Power BI’s visualization techniques. The outcomes highlight the program's effectiveness in equipping students with industry-relevant skills, emphasizing the need for similar initiatives targeting broader student groups. This project bridges the gap between vocational education and the digital economy's demands.
Forestry Spatial Planning Policy Direction: Concerning the Long-Term National Development Plan 2025-2045 Margono, Belinda Arunarwati; Purwanto, Judin; Nugroho, Sigit; Widiyatno, Widiyatno
Jurnal Ilmu Kehutanan Vol 19 No 1 (2025): March
Publisher : Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/jik.v19i1.18426

Abstract

The role of forests is related to the challenges of balancing food, water, and energy, which are likely to increase significantly in the near future. A science-based conception is needed to support the correct application of forest adequacy in terms of forestland and forest cover over a watershed or island to address these challenges and to strengthen the role of forests in performing economic, social, and ecological functions, mainly in the context of water, food, and energy security. However, the minimum extent of forest over land is still debatable. The determination of what is named forest adequacy, in terms of both forestland (kawasan hutan) and forest cover (penutupan hutan), needs to consider roles of biogeophysical factors, environmental carrying capacity, watershed characteristics, along with flora and fauna diversity. Spatial planning plays a crucial role in implementing the concept of determining the forest's adequacy based on spatial considerations to support the Forestry Spatial Planning Policy in the 2025-2045 National Development Plan to ensure the future security of water, food, and energy supply.
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.
EXPLORING THE RELATIONSHIP BETWEEN PHYSICAL ACTIVITY AND LIFE SATISFACTION AMONG INTERNATIONAL STUDENTS AT INDONESIAN UNIVERSITIES LOCATED IN JAVA Salman, Muhammad; Perdana, Satya; Nugroho, Sigit; Nasrulloh, Ahmad
MEDIKORA Vol. 24 No. 1 (2025): April
Publisher : Faculty of Sports Sciences, Universitas Negeri Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/medikora.v24i1.83115

Abstract

Internationalization has grown from an insignificant challenge to a crucial priority in recent decades, becoming a vital part of global higher education systems. The key objevtive of this study was to investigate the relationship between physical activity and life satisfaction among international students attending Indonesian institutions in Java. Importance to promoting their overall well being and adaptation in a foreign academic evironmentThis study included 220 foreign students (121 (55%) male, aged 18 to 52, mean age 26.7 and SD = 5.9 years old) from various countries who were studying at several institutions in Java, Indonesia. Physical activity data were collected using IPAQ(International Physical Activity Questionnaire), and life satisfaction was measured using the Satisfaction with Life Scale (SWLS). The non probability convenience sampling method used to collect the data and pearson statistical used to analysis the correlation between life satisfaction and physical activity. The findings showed that life satisfaction and physical activity were strongly positively correlated, with a Pearson correlation coefficient (r) of 0.806, the coefficient of determination (R2) was 0.63, indicating that variations in physical activity levels account for 63% of the variance in life satisfaction. A p-value of 0.002, well below the conventional threshold of 0.05, validated the statistical significance of this association. Regular physical exercise was associated with better levels of life satisfaction among international students. These results emphasise how important it is to include physical exercise in daily routines in order to increase foreign students' life satisfaction. To further understand the basic processes and show how physical activity and life satisfaction are related in this student population, more study is required.
Filsafat Ilmu: Moral dan Ilmu Nasution, Silvia Fauziah; Suherman, Wawan Sundawan; Nasrulloh, Ahmad; Nugroho, Sigit
Divinitas Jurnal Filsafat dan Teologi Kontekstual Vol 1, No 1 (2023): Divinitas January
Publisher : Fakultas Teologi, Universitas Sanata Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24071/div.v1i1.5529

Abstract

Kaitan ilmu dan moral merupakan kontroversi yang tak pernah kunjung padam. Gejala ini menyebabkan kekacauan dan salah tafsir mengenai hakekat keilmuan serta kecurigaan dan ketidakpercayaan terhadap ilmuwan. Kontroversi yang berkepanjangan itu disebabkan oleh kaitan ilmu dan moral dibahas dari segi yang terlalu umum, dan bukan dari unsur-unsur yang membentuknya. Materi penelitian  berdasarkan penelitian pustaka, maka data yang dikumpulkan merupakan data kualitatif dari berbagai sumber pustaka yang diolah dengan metode reflektif, dilengkapi dengan metode ’verstehen’.
ONLINE DISINHIBITION AND ANONYMITY IN ADOLESCENT TIKTOK DISCOURSE: IMPLICATIONS FOR CYBERBULLYING AND DIGITAL EDUCATION Juliati, Kurnia; Nugroho, Sigit; Qorifah, Nasha Nuryati
Journal of Pragmatics and Discourse Research Vol 5, No 2 (2025)
Publisher : ppjbsip

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51817/jpdr.v5i2.1357

Abstract

This study explores the relationship between online disinhibition, perceived anonymity, and cyberbullying behavior among adolescent TikTok users through a psychological and educational discourse lens. As social media becomes increasingly integrated into youth identity formation, understanding how digital environments shape speech patterns and behavioral norms is crucial. The research surveyed 297 adolescents aged 13–20 using validated psychometric scales and analyzed results via multiple linear regression. Findings reveal that both online disinhibition and anonymity significantly predict cyberbullying behavior, with anonymity (β = 0.670) exerting a stronger influence than disinhibition (β = 0.173). These results suggest that adolescents are more likely to engage in aggressive digital discourse when they feel untraceable or emotionally disconnected from their targets. TikTok’s unique algorithmic environment, pseudonym options, and asynchronous comment features reinforce this behavioral pattern. From an educational discourse perspective, these findings demonstrate that cyberbullying is not merely a behavioral outcome, but also a discursive shift where ethical communication norms erode under perceived invisibility. This study highlights the need for digital literacy programs that go beyond rule-based safety education to address the discursive realities of online interaction, emphasizing moral reasoning, identity accountability, and empathetic speech. Schools and educators should integrate reflective tasks that analyze online comment culture, encourage discourse analysis of aggressive digital speech, and cultivate a sense of online moral agency. Future research should investigate how specific language forms (e.g., sarcasm, mockery, tag-chaining) evolve in anonymous platforms and affect adolescent behavior. This research contributes to both cyberpsychology and education by providing a nuanced understanding of how digital speech patterns fueled by anonymity and disinhibition construct and normalize cyber aggression among youth
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