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All Journal Nurse Media Journal of Nursing Media Statistika Jurnal Ilmu Dasar Jurnal Natur Indonesia Jurnal Sains dan Seni ITS CAUCHY: Jurnal Matematika Murni dan Aplikasi Jurnal Widya Manajemen & Akuntansi Journal of Regional and City Planning Prosiding Seminar Matematika dan Pendidikan Matematik Jurnal Desain Interior Jurnal Teknik Industri: Jurnal Keilmuan dan Aplikasi Teknik Industri BAREKENG: Jurnal Ilmu Matematika dan Terapan J Statistika : Jurnal Ilmiah Teori Dan Aplikasi Statistika Sainmatika: Jurnal Ilmiah Matematika dan Ilmu Pengetahuan Alam Inferensi International Journal of Advances in Data and Information Systems Jurnal Abdiraja Eduvest - Journal of Universal Studies Sewagati Research Horizon Indonesian Journal of Statistics and Its Applications Journal of Research on Community Engagement
Bambang Widjanarko Otok
Departemen Statistika Institut Teknologi Sepuluh Nopember
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SIMILARITY CHECKING OF CCTV IMAGES USING PEARSON CORRELATION: IMPLEMENTATION WITH PYTHON Mulyanto, Angga Dwi; Otok, Bambang Widjanarko; Aqsari, Hasri Wiji; Harini, Sri; Astuti, Cindy Cahyaning
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 18 No 4 (2024): BAREKENG: Journal of Mathematics and Its Application
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/barekengvol18iss4pp2703-2712

Abstract

Video surveillance technology, such as CCTV, is increasingly common in various applications, including public safety and business surveillance. Analyzing and comparing images from CCTV systems is essential for ensuring safety and security. This research implements the Pearson Correlation method in Python to measure the similarity of CCTV images. Pearson Correlation, which assesses the linear relationship between two variables, is employed to compare the pixel values of two images, resulting in a coefficient that indicates the degree of similarity. We used a quantitative approach with experiments on two scenarios to test the program's effectiveness in measuring image similarity. The results demonstrate that Pearson Correlation is highly effective in distinguishing between identical and other images, providing a more accurate and comprehensive assessment of image similarity compared to histogram analysis. However, the findings are constrained by the specific scenarios and dataset utilized. Further research with more diverse empirical data is required to generalize these results across a broader range of CCTV conditions.
RANDOM EFFECTS META-REGRESSION USING WEIGHTED LEAST SQUARES (CASE STUDY: EFFECTIVENESS OF ACCEPTANCE AND COMMITMENT THERAPY IN REDUCING DEPRESSION) Arumningtyas, Felinda; Otok, Bambang Widjanarko; Purnami, Santi Wulan
MEDIA STATISTIKA Vol 18, No 1 (2025): Media Statistika
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/medstat.18.1.49-60

Abstract

Meta-analysis is a statistical method for synthesizing quantitative data from multiple related studies, yet heterogeneity among studies often complicates interpretation. Meta-regression extends this approach by incorporating study-level covariates to explain variations in outcomes. With the global increase in depression, Acceptance and Commitment Therapy(ACT) has attracted attention as an effective psychological intervention. Therefore, a deeper understanding of the factors that influence its effectiveness across studies is needed. However, to date, only a few meta-analyses have quantitatively examined moderator variables that influence ACT outcomes using a random effects meta-regression approach. This study aims to fill this gap. This study estimated the model parameters using the Weighted Least Squares (WLS) method. Thirty-three published studies testing the effectiveness of ACT in reducing depression were collected from PubMed, Google Scholar, and Science Direct. The homogeneity test results showed significant heterogeneity, supporting the use of a random effects model. The combined effect size of -0.321 indicates that ACT significantly reduces depression levels compared to the control group. Meta-regression analysis revealed that variation in effect size was significantly influenced by differences in the average age of patients and duration of therapy. These findings provide new insights into the conditions and characteristics that make ACT therapy more effective.
Uneven Transitions in Container Ship Capacity Across Indo-Pacific Economies (2010–2022): Integrating PCA, ANOVA, and Clustering Evidence Setiawan, Ariyono; Otok, Bambang Widjanarko; Handoko, Wisnu; Hadi, Abdul Razak Abdul; Onn, Choo Wou; Arli, Denni
International Journal of Advances in Data and Information Systems Vol. 7 No. 1 (2026): April 2026 - International Journal of Advances in Data and Information Systems
Publisher : Indonesian Scientific Journal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59395/ijadis.v7i1.1442

Abstract

We examine uneven transitions in container ship capacity (TEU per ship) across five Indo-Pacific economies  China, Singapore, Australia, Vietnam, and Indonesia  during 20102022 using an integrated statistical framework that combines ANOVA, Welch ANOVA, GamesHowell post-hoc tests, Principal Component Analysis (PCA), and clustering. Results reveal persistent divergence: China and Singapore maintain high-capacity fleets (>10,000 TEU/ship), Australia stabilizes in the mid-tier range (~7,000 TEU/ship), while Indonesia and Vietnam experience rapid but low-level growth (<6,000 TEU/ship). ANOVA confirms significant cross-country differences (F=28.33; p<0.001; 0.65), with Welch ANOVA yielding consistent results under unequal variances (p<0.01). PCA indicates one dominant component (PC199.5%) explaining most variance, forming three readiness clusters: high, medium, and low capacity economies. These patterns suggest that policy inertia, infrastructure bottlenecks, and green transition constraints drive the uneven capacity development. The study contributes by introducing TEU per ship as a cross-national indicator for maritime readiness, linking statistical divergence to SDG targets 8, 9, 10, 13, and 14, and offering empirical guidance for low-carbon fleet transition and port modernization in emerging economies..
SEM-PLS Training at Universitas Islam Negeri Maulana Malik Ibrahim Bambang Widjanarko Otok; Cindy Cahyaning Astuti; Angga Dwi Mulyanto; Purhadi Purhadi; Shofi Andari; Achmad Choiruddin; Santi Wulan Purnami
JRCE (Journal of Research on Community Engagement) Vol 7, No 1 (2025): Journal of Research on Community Engagement
Publisher : Universitas Islam Negeri Maulana Malik Ibrahim Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/jrce.v7i1.32959

Abstract

At Universitas Islam Negeri Maulana Malik Ibrahim Malang in 2024 SEM-PLS training will develop data analysis capabilities for lecturers and students to enhance their work on quality scientific publications. The Department of Mathematics at Faculty of Science and Technology conducted the session on May 21, 2024, where 40 people participated. Training and mentoring stands as the service method which features instruction about SEM-PLS theory alongside practical utilization of SmartPLS software for implementation. Observation activities together with documentation assessment and satisfaction questionnaire responses determine the program's outcome. Participant satisfaction reached an exceptional level because they showed positive feedback about the material presented. Time constraints together with a constrained space area negatively affected  this event. This training achieved success in providing extensive SEM-PLS understanding to students and lecturers. The activity builds campus research capacity. The organization of similar consecutive training courses is highly suggested because it will boost academic knowledge in data analysis fields.
Actual Purchase on Live Streaming TikTok Shop: The Influence of Trust, Flow Experience, and IT Affordance Satria Adi Nugraha; Bambang Widjanarko Otok
Eduvest - Journal of Universal Studies Vol. 5 No. 1 (2025): Journal Eduvest - Journal of Universal Studies
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/eduvest.v5i1.1565

Abstract

The use of live streaming technology has transcended its marketing function, evolving into a platform for fostering deeper interactions between sellers and consumers. The accessibility of technology, trust, and the flow experience play crucial roles in facilitating transactions within the context of live streaming commerce. These factors influence consumer desire to make purchases and ultimately drive actual purchases. This research aims to investigate the influence of these factors on purchase intention and actual purchases within the context of live streaming commerce services in Indonesia. The data analysis method employed is SEM-PLS, with TikTok as the research subject. TikTok, through its TikTok Shop platform, has become one of the primary choices for live streaming commerce services in Indonesia, with 6 million users as sellers and 7 million users as affiliates. The results of this study show that visibility affordance, metavoicing affordance, and guidance shopping affordance can affect purchase intention which in turn affects actual purchases by customers through trust in seller, trust in platform, and immersion. This research not only provides valuable insights for practitioners and sellers in the field of live streaming commerce, but also provides a foundation for the development of technology platforms that meet market needs.
PENGGUNAAN PROPENSITY SCORE STRATIFICATION-SUPPORT VECTOR MACHINE UNTUK MENGESTIMASI EFEK PERLAKUKAN AKTIVITAS OLAHRAGA PADA PENDERITA DIABETES MELITUS Ernawati Ernawati; Bambang Widjanarko Otok; Sutikno Sutikno
Indonesian Journal of Statistics and Applications Vol 4 No 3 (2020)
Publisher : Statistics and Data Science Program Study, SSMI, IPB University, in collaboration with the Forum Pendidikan Tinggi Statistika Indonesia (FORSTAT) and the Ikatan Statistisi Indonesia (ISI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/ijsa.v4i3.653

Abstract

Randomized Controlled Trial (RCT) is not possible to do in observational studies, mainly in health cases, because it is directly related to human life. Actually, good randomization is needed to make the treatment and control groups have no large differences in the observed variables, so it results from unbiased treatment One alternative method that is increasingly used in statistical analysis in the field of health is the Propensity Score (PS). If the propensity score had estimated using the SVM method and divided into groups of strata that have a similar propensity score, it is known as the Propensity Score Stratification (PSS-SVM). The purpose of the PSS-SVM is to balance the observed variables between the treatment group and the control group by dividing them into several strata groups so that a balanced trend is obtained or the propensity score is called balance. This eliminates the influence of the confounding variables and unbalance of the treatment and control groups and obtain an unbiased estimation of the treatment effect. In this Research, the PSS-Method applied in case of disease complication in patients with Diabetes Mellitus Type 2 at the Regional Public Hospital of Pasuruan with respondents who counted 96 patients. The purpose of using PSS-SVM, in this case, is to reduce the confounding effects (sports activity) that influence disease complications. In strata of 4 reduce the largest bias with the percent bias reduction (PBR) is 86.39% with the smallest standard error is 0.103.
Model Structural Equation Modelling (Studi Kasus: Kenyamanan Emosional Pasien Kanker Anak Berdasarkan Healing Environment) Nazihah Ekasari; Muhammad Mashuri; Bambang Widjanarko Otok; Anggra Ayu Rucitra
Jurnal Desain Interior Vol 11 No 1 (2026)
Publisher : Direktorat Penelitian dan Pengabdian kepada Masyarakat (DRPM), ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/jdi.v11i1.9073

Abstract

Healthcare facilities play a crucial role in the patient recovery process. The condition of healthcare facilities has a direct impact on the psychological and emotional well-being of patients. Several previous studies have identified a relationship between the care environment and patient quality of life. Most studies employ literature reviews or observational methods to determine this relationship; however, to date, no quantitative measurements have been used to substantiate this relationship. Therefore, based on these issues, the effect of the healing environment on the quality of life of cancer patients, especially pediatric cancer patients, was analyzed using structural equation modeling (SEM). Data were collected through observation and questionnaires covering six factors that affect the quality of life of cancer patients at Hospital in Surabaya. PLS-SEM methods was used in the hope of obtaining a model of latent variable relationships with good accuracy. PLS SEM is a development of the SEM method, in which parameter estimation does not require specific distribution assumptions and can be performed on sample sizes.
Co-Authors Abdul Khair Abima Aunur Rochman Achmad Choiruddin Adeni - Adeni Agus Suharsono Amin Tohari Angga Dwi Mulyanto Anggra Ayu Rucitra Anisa Ramadhan Aqsari, Hasri Wiji Ari Fitriani Arief Wibowo Arief Wibowo Arifah Nur Ngafiyah, Arifah Nur Arli, Denni Asih Kurniasih Lumaela Cindy Cahyaning Astuti Diah Puspito Wulandari Dimas Achmad Fadhila Dukalang, Hendra Eko Saputro Eko Saputro Eta Dian Ayu A, Eta Dian Felinda Arumningtyas Fredi Suryadi Fredi Suryadi Ghazali, Muhammad Hadi, Abdul Razak Abdul Handoko, Wisnu Hargandi, Priyanka Harmin Sulitiyaning Titah Harun Al Azies Hasanah, Silviatul Herlina Jusuf I Nyoman Budiantara Ikacipta Mega Ayuputri Isnawati, Isnawati Jerry D. T. Purnomo Koesmono, Teman Mahpolah Mahpolah Masnatul Laili Mastari Rizki Fadillah Millatur Rodliyah muhammad mashuri Nazihah Ekasari ningrum, amanda ratna Oktiva Dhani Arleina Onn, Choo Wou Purhadi Purhadi Rahmawati Erma Standsyah Rakhmah Wahyu Maya Rama Hiola Riza Inayah Santi Martini Santi Wulan Purnami Sarmanu, Sarmanu Satria Adi Nugraha Setiawan, Ariyono Shofi Andari Shofi Andari Sri Harini Sri Haryatmi Subanar . Subanar, . Sugiharto Suharto Suharto Suharto Suharto Suharto Suharto suhartono - Suroto Suroto Suryo Guritno Suryo Guritno Sutikno Sutikno Sutikno Sutikno Wahyuning Pintowati Wati, Nurul Linda Wiwiek Natalya Yoyok Setyo Hadiwidodo