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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 Jurnal Impresi Indonesia Journal Research of Social Science, Economics, and Management Sewagati Research Horizon Parameter: Jurnal Matematika, Statistika dan Terapannya 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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Determination of Home Purchase Decisions with Technology Adoption as a Moderating Variable Wati, Nurul Linda; Otok, Bambang Widjanarko
Research Horizon Vol. 5 No. 3 (2025): Research Horizon - June 2025
Publisher : LifeSciFi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54518/rh.5.3.2025.666

Abstract

The residential property market in Indonesia has experienced significant growth, with a 1.89% increase in the Residential Property Price Index and a 31.16% rise in sales in the first quarter of 2024, though Surabaya recorded the lowest price growth in Java at 0.34%. This study aims to examine the determinants of home purchase decisions, including purchasing power, price, location, marketing advertisements, and developer brand image, with technology adoption as a moderating variable. Using a quantitative approach, data were collected from 225 respondents across four housing projects in Gresik, East Java, through questionnaires analyzed with Moderated Structural Equation Modeling. The findings reveal that all determinants significantly influence home purchase decisions, with developer brand image having the strongest effect. Technology adoption enhances these relationships by improving information access and consumer trust through digital platforms. The study concludes that developers should prioritize digital marketing strategies, such as virtual tours and social media campaigns, to boost consumer engagement and address declining sales trends. These insights offer strategic guidance for enhancing marketing effectiveness in the evolving digital landscape of the housing sector.
Effectiveness of Esports Sponsorship in Mobile Legends Professional League on Brand Association and Purchase Intention Nathanel, Jeshen Oktavian; Otok, Bambang Widjanarko
Jurnal Impresi Indonesia Vol. 4 No. 8 (2025): Jurnal Impresi Indonesia
Publisher : Riviera Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58344/jii.v4i8.6918

Abstract

The esports industry has experienced significant growth in recent years, attracting the attention of various sponsors to utilize these platforms in achieving their business goals. This study aims to analyze the effectiveness of esports sponsorship in the Mobile Legends Professional League (MPL) on brand associations and consumer purchase intentions. Using a quantitative approach and Structural Equation Modeling (SEM) techniques through SmartPLS, data was collected from 160 respondents who are active in the esports community in Indonesia. The results showed that positive attitudes towards sponsors (?=0.461, p<0.001) and sincerity of sponsorship motives (?=0.177, p=0.039) had a significant effect on brand association. Sponsor-event suitability (?=0.241, p=0.030) and activity engagement (?=0.240, p=0.004) were also shown to strengthen brand associations. For purchase intent, attitudes towards sponsors (?=0.391, p<0.001), sincerity of motives (?=0.223, p=0.013), and activity involvement (?=0.197, p=0.037) showed significant influences. This research model was able to explain 88.3% of brand association variance and 85% of purchase intention variance. These findings provide strategic insights for esports sponsors to optimize their investments through an authentic and relevant approach to the target audience.
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.
SEM-PLS Training at Universitas Islam Negeri Maulana Malik Ibrahim Otok, Bambang Widjanarko; Astuti, Cindy Cahyaning; Mulyanto, Angga Dwi; Purhadi, Purhadi; Andari, Shofi; Choiruddin, Achmad; Purnami, Santi Wulan
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.
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.
COMPARISON OF BINARY PROBIT REGRESSION AND FOURIER SERIES NONPARAMETRIC LOGISTIC REGRESSION IN MODELING DIABETES STATUS AT HAJJ GENERAL HOSPITAL SURABAYA Otok, Bambang Widjanarko; Zulfadhli, Muhammad; Pangesti, Riwi Dyah; Kurniawan, Muhammad Idham; Haryanto, Albertus Eka Putra; Darwis, Darwis; Kurniawan, Iwan
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 20 No 1 (2026): BAREKENG: Journal of Mathematics and Its Application
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/barekengvol20iss1pp0255-0270

Abstract

Diabetes mellitus is a chronic disease with a rising global prevalence, including in Indonesia. Early detection and accurate modeling are crucial for effective prevention and management. Binary Logistic Regression (BLR) is commonly used for binary outcome modeling; however, in practice, the relationship between binary outcomes and continuous predictors is often nonlinear, making BLR less suitable. To address these limitations, alternative methods such as Binary Probit Regression (BPR) and Flexible Semiparametric Nonlinear Binary Logistic Regression (FSNBLR) have been developed. This study aims to compare the performance of BLR, BPR, and FSNBLR models in classifying diabetes mellitus cases at Hajj General Hospital Surabaya. All three models were estimated using the Maximum Likelihood Estimation (MLE) method. Since the resulting estimators do not have closed-form solutions, numerical iteration using the Newton-Raphson method was applied. Model performance was assessed using Area Under the Curve (AUC), accuracy, sensitivity, and specificity. The FSNBLR model outperformed both the BLR and BPR models. It achieved the highest AUC value of 81.86%, while BLR (66.30%) and BPR (66.30%). That is indicated FSNBLR superior discriminative ability. In addition, the FSNBLR model recorded higher accuracy, sensitivity, and specificity compared to the other two models. The FSNBLR model demonstrated better predictive performance in identifying diabetes mellitus cases, especially in scenarios involving nonlinear relationships between predictors and the outcome variable. These findings suggest that flexible semiparametric approaches offer greater effectiveness in medical classification tasks, particularly for chronic conditions like diabetes mellitus.
QUANTILE BASED PLS-SEM WITH WILD BOOTSTRAP Balami, Abdul Malik; Otok, Bambang Widjanarko; Purnami, Santi Wulan
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 20 No 2 (2026): BAREKENG: Journal of Mathematics and Its Application
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/barekengvol20iss2pp1775-1790

Abstract

Partial Least Squares SEM (PLS-SEM) is the recommended technique for structural equation modeling (SEM), which assesses correlations between latent components concurrently, particularly for small samples and non-normal data. But because traditional PLS-SEM only calculates average correlations between constructs, it runs the risk of overlooking variances in the quantile distribution. Consequently, the creation of the Quantile PLS-SEM approach, which incorporates quantile regression, provides a means to examine correlations across the entire data distribution. To improve estimation, wild bootstrap is used to address heteroscedasticity issues and produce more reliable inferences. The purpose of this study is to develop and apply Quantile based PLS-SEM with Wild Bootstrap to analyze the gizi data status of the Indonesian population based on the Survey Status Gizi Indonesia 2024. The analysis's findings indicate that specific and sensitive interventions have a significant impact on the gizi status of different quantities.
Comparing Weighting Schemes in Modeling Child Malnutrition in East Java Alfasanah, Zulfani; Otok, Bambang Widjanarko; Ahsan, Muhammad
Parameter: Jurnal Matematika, Statistika dan Terapannya Vol 4 No 3 (2025): Parameter: Jurnal Matematika, Statistika dan Terapannya
Publisher : Jurusan Matematika FMIPA Universitas Pattimura

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

Abstract

Partial Least Squares is increasingly used as an alternative to covariance-based SEM due to its flexibility in handling non-normal data, small sample sizes, and complex models, as well as its ability to operate under different inner weighting schemes. However, empirical studies rarely compare these weighting schemes, even though they may influence measurement validity and structural interpretations. This study applies PLS-SEM using both the path and factor weighting schemes to evaluate their performance in modeling child malnutrition. Child malnutrition remains a major public health concern, as it is driven by the interaction of socioeconomic, food security, parenting, and access to basic services. The study estimates and evaluates measurement and structural models using PLS under path and factor schemes. The findings show that both schemes produce acceptable measurement and structural models, but the path scheme yields more consistent indicator significance and more stable structural relationships, while the factor scheme is more sensitive to weaker indicators, leading to some nonsignificant loadings and paths. The results suggest that although both weighting schemes are suitable for exploratory analysis, the path weighting scheme provides more robust and interpretable results for explaining child malnutrition, highlighting the importance of weighting scheme selection in applied PLS-SEM research.
The Influence of TikTok-Based Content and Influencer Marketing on Purchase Intention of Eiger Travel Products among Generation Z: The Moderating Role of Gender Akbar, Mhd Furqan; Sabar, Sabar; Otok, Bambang Widjanarko; Noer, Lissa Rosdiana
Journal Research of Social Science, Economics, and Management Vol. 5 No. 7 (2026): Journal Research of Social Science, Economics, and Management
Publisher : Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/jrssem.v5i7.1312

Abstract

The rapid growth of short-video–based social media, particularly TikTok, has transformed the way companies engage with consumers and stimulate purchase intention, especially among Generation Z as digital natives. However, for local brands such as Eiger in the travel and outdoor equipment industry, a key challenge remains in converting digital marketing activities into actual purchase intention, as reflected in the gap between high offline conversion rates and relatively low online sales contributions. This research aims to analyze the effects of content marketing and influencer marketing on purchase intention for Eiger’s travel products among Generation Z using a quantitative approach through a survey of 300 respondents who have been exposed to Eiger’s TikTok content. The research model is analyzed using the Stimulus–Organism–Response (S-O-R) framework and tested with Partial Least Squares–Structural Equation Modeling (PLS-SEM) employing SmartPLS software. The findings indicate that both content marketing and influencer marketing significantly enhance perceived enjoyment, which in turn serves as a strong mediator in increasing purchase intention. Furthermore, gender moderates the relationship between content marketing and perceived enjoyment, with female consumers showing greater responsiveness to storytelling and aesthetically appealing content, while male consumers respond more strongly to informative content. In contrast, gender does not moderate the relationship between influencer marketing and perceived enjoyment, suggesting a relatively homogeneous perception of influencers among Generation Z consumers. This study contributes to the literature by extending the application of the S-O-R theory to short-video marketing contexts and enriching empirical insights into Generation Z consumer behavior in Indonesia.
Model Structural Equation Modelling (Studi Kasus: Kenyamanan Emosional Pasien Kanker Anak Berdasarkan Healing Environment) Ekasari, Nazihah; Mashuri, Muhammad; Otok, Bambang Widjanarko; Rucitra, Anggra Ayu
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/j12345678.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 Ahsan, Muhammad Akbar, Mhd Furqan Alfasanah, Zulfani Amin Tohari Angga Dwi Mulyanto Anggra Ayu Rucitra, Anggra Ayu Anisa Ramadhan Aqsari, Hasri Wiji Ari Fitriani Arief Wibowo Arief Wibowo Arifah Nur Ngafiyah, Arifah Nur Arli, Denni Asih Kurniasih Lumaela Balami, Abdul Malik Choiruddin, Achmad Cindy Cahyaning Astuti Darwis Darwis Diah Puspito Wulandari Dimas Achmad Fadhila Dukalang, Hendra Ekasari, Nazihah 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 Haryanto, Albertus Eka Putra Hasanah, Silviatul Herlina Jusuf I Nyoman Budiantara Ikacipta Mega Ayuputri Isnawati Iwan Kurniawan Jerry D. T. Purnomo Koesmono, Teman Kurniawan, Muhammad Idham Mahpolah Mahpolah Masnatul Laili Mastari Rizki Fadillah Millatur Rodliyah muhammad mashuri Muhammad Zulfadhli, Muhammad Nathanel, Jeshen Oktavian ningrum, amanda ratna Noer, Lissa Rosdiana Oktiva Dhani Arleina Onn, Choo Wou Pangesti, Riwi Dyah Purhadi Purhadi Rahmawati Erma Standsyah Rakhmah Wahyu Maya Rama Hiola Riza Inayah Sabar Sabar Santi Martini Santi Wulan Purnami Sarmanu, Sarmanu Setiawan, Ariyono Shofi Andari Shofi Andari Sri Harini Sri Haryatmi Subanar . Subanar, . Sugiharto Sh 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