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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 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 Jurnal Abdiraja Jurnal Impresi Indonesia Eduvest - Journal of Universal Studies Sewagati Research Horizon Indonesian Journal of Statistics and Its Applications Journal of Research on Community Engagement Limits: Journal of Mathematics and Its Applications

Bambang Widjanarko Otok

Departemen Statistika Institut Teknologi Sepuluh Nopember

Author-ID : 337886

Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Economics, Econometrics & Finance Education Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Mechanical Engineering Neuroscience Nursing Physics Public Health Social Sciences Transportation Other

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PEMODELAN B-SPLINE DAN MARS PADA NILAI UJIAN MASUK TERHADAP IPK MAHASISWA JURUSAN DISAIN KOMUNIKASI VISUAL UK. PETRA SURABAYA I Nyoman Budiantara; Fredi Suryadi; Bambang Widjanarko Otok; Suryo Guritno
Jurnal Teknik Industri: Jurnal Keilmuan dan Aplikasi Teknik Industri Vol. 8 No. 1 (2006): JUNE 2006
Publisher : Institute of Research and Community Outreach - Petra Christian University

Regression analysis is constructed for capturing the influences of independent variables to dependent ones. It can be done by looking at the relationship between those variables. This task of approximating the mean function can be done essentially in two ways. The quiet often use parametric approach is to assume that the mean curve has some prespecified functional forms. Alternatively, nonparametric approach, .i.e., without reference to a specific form, is used when there is no information of the regression function form (Haerdle, 1990). Therefore nonparametric approach has more flexibilities than the parametric one. The aim of this research is to find the best fit model that captures relationship between admission test score to the GPA. This particular data was taken from the Department of Design Communication and Visual, Petra Christian University, Surabaya for year 1999. Those two approaches were used here. In the parametric approach, we use simple linear, quadric cubic regression, and in the nonparametric ones, we use B-Spline and Multivariate Adaptive Regression Splines (MARS). Overall, the best model was chosen based on the maximum determinant coefficient. However, for MARS, the best model was chosen based on the GCV, minimum MSE, maximum determinant coefficient. Abstract in Bahasa Indonesia : Analisa regresi digunakan untuk melihat pengaruh variabel independen terhadap variabel dependent dengan terlebih dulu melihat pola hubungan variabel tersebut. Hal ini dapat dilakukan dengan melalui dua pendekatan. Pendekatan yang paling umum dan seringkali digunakan adalah pendekatan parametrik. Pendekatan parametrik mengasumsikan bentuk model sudah ditentukan. Apabila tidak ada informasi apapun tentang bentuk dari fungsi regresi, maka pendekatan yang digunakan adalah pendekatan nonparametrik. (Haerdle, 1990). Karena pendekatan tidak tergantung pada asumsi bentuk kurva tertentu, sehingga memberikan fleksibelitas yang lebih besar. Tujuan penelitian ini adalah mendapatkan model terbaik mengenai nilai ujian masuk terhadap nilai IPK (Indek Prestasi Kumulatif) mahasiswa jurusan Disain Komunikasi Visual tahun 1999 di Universitas Kristen Petra Surabaya dengan analisis regresi, baik parametrik maupun nonparametrik. Pendekatan regresi parametrik menggunakan regresi linear sederhana, kuadratik dan kubik, sedangkan regresi nonparametrik digunakan B-Spline dan Multivariate Adaptive Regression Splines (MARS). Secara keseluruhan, model terbaik dipilih berdasarkan koefisien determinasi terbesar. Namun demikian untuk MARS, model terbaik dipilih berdasarkan pada GCV, minimum MSA dan koefisien determinasi terbesar. Kata kunci: regresi nonparametrik, B-Spline, MARS, koefisien determinasi.

The Estimation of Generalized Method Moment Poisson Regression Model on the Prevalence of Acute Respiratory Tract Infection (RTI) in South Kalimantan Mahpolah Mahpolah; Suharto Suharto; Arief Wibowo; Bambang Widjanarko Otok
CAUCHY: Jurnal Matematika Murni dan Aplikasi Vol 5, No 3 (2018): CAUCHY: JURNAL MATEMATIKA MURNI DAN APLIKASI
Publisher : Mathematics Department, Universitas Islam Negeri Maulana Malik Ibrahim Malang

ACUTE (RTI) is still an important health problem because the cause of the death of infants and children under five high enough, 1 from 4 death that happens. The purpose of this research examines the factors that affect the genesis ACUTE (RTI) using poisson regression approach with estimates of the maximum likelihood estimator (MLE) and generalized method moment (GMM). This research done in the area of Health Clinic in South Kalimantan. The results of the study showed that the estimates of the GMM method on Poisson regression model gives better performance in terms of the significance of the parameters than the MLE method. The factors that affect an increasing number of the prevalence of ACUTE (RTI) a region namely persentase Breast Feeding non-exclusive (0.0279), the percentage of low birth weight (0.0569), the percentage of shelter density (0.028), the percentage of the existence of smoker family members in the house (0.0308), the percentage of immunization is not complete (0.0193). While the factors that affect a downturn in the number of the prevalence of ACUTE (RTI) in a region which is the percentage of the number of infants less than 2 (0.0364), the percentage of normal nutrition status (0.0224), the percentage of Mothers Education on high school (0.0339), and the percentage of social economy (UMP enough to top) (0.0194).

Structural Equation Modeling Based on Variance The Density Index of Larvae of The Rainy Season in the City of Banjarbaru Isnawati Isnawati; Bambang Widjanarko Otok; Suharto Suharto; Arief Wibowo
CAUCHY: Jurnal Matematika Murni dan Aplikasi Vol 5, No 3 (2018): CAUCHY: JURNAL MATEMATIKA MURNI DAN APLIKASI
Publisher : Mathematics Department, Universitas Islam Negeri Maulana Malik Ibrahim Malang

Climate change causes changes rainfall, temperature, air humidity and wind direction so that affect the reproduction of vectors of diseases such as the mosquito Aedes, Malaria, etc. that it needs to be monitored the increase in many cases DB. free number of larvae (ABJ) is one of the larva density indicator, although ABJ has more than 90 percent but morbidity remains high. The condition of the ABJ not describes the density of larvae jentik, so that the need to study the density jentik indicator that more can describe as the larvae density index with SEM based Variance approach. The results of the study showed that the structural model nonparametric to larva density is the best model based on the criteria of R2 and Q2. The Ministry of Health and behavior, environment condition and breeding place/site effect on the larva density of 87.7%. The dominant indicator counseling on health services, knowledge on the behavior of the temperature of the water on the conditions in the environment and the material container on the breeding place/sites. While on the larva density each indicator provides value loading, larvae density index (0.864), House index (0.459), Container index (0.894), and Breateau index (0.925). Environmental conditions the dominant factor in affecting larva density decline of 32.4%, with each indicator larvae density index (28%), House index (15%), Container index (29%), and Breateau index (30%).

Geographically Weighted Regression to Predict the Prevalence of Hypertension Based on the Risk Factors in South Kalimantan Suroto Suroto; Bambang Widjanarko Otok; Suharto Suharto; Arief Wibowo
CAUCHY: Jurnal Matematika Murni dan Aplikasi Vol 5, No 3 (2018): CAUCHY: JURNAL MATEMATIKA MURNI DAN APLIKASI
Publisher : Mathematics Department, Universitas Islam Negeri Maulana Malik Ibrahim Malang

Hypertension is one of the disease is not contagious diseases which is a public health problem. Uncontrolled Hypertension can trigger a degenerative diseases such as congestive heart failure, renal failure and vascular disease. Hypertension is called the silent killer because his nature the condition is asymptomatic and can cause a fatal stroke. With the increasing prevalence of cases of degenerative diseases, one only hypertension, then the researchers want to predict the variables very big role as one of the risk factors of Genesis hypertension. With clearly know the risk factors that play against genesis hypertension is expected to be used as a reference for the prevention and control so that they can reduce the prevalence of hypertension and prevent deaths from degenerative diseases, especially hypertension. The results of the study showed that the results of the modeling the prevalence of hypertension in South Kalimantan Province using linier regression there is no factor that affect the genesis of hypertension. The prevalence of hypertension spread spatially because there are heterogenitas between the location of the observation that means that observations of a location depends on the observations in another location that the distance is near so do spatial regression modeling with Adaptive Gaussian kernel function, meghasilkan 5 groups. Group I consists of the districts Tanah Laut and Tanah Bumbu; group II, Kota Baru; Group III consists of Banjar, Kota Banjar Baru, Kota Banjarmasin; Group IV on the Barito Kuala Regency and the Group V consists of Tapin, H S Selatan, H S Tengah, H S Utara, Tabalong, Balangan.

Partitional Clustering of Underdeveloped Area Infrastructure with Unsupervised Learning Approach: A Case Study in the Island of Java, Indonesia Bambang Widjanarko Otok; Agus Suharsono; Purhadi Purhadi; Rahmawati Erma Standsyah; Harun Al Azies
Journal of Regional and City Planning Vol. 33 No. 2 (2022)
Publisher : The Directorate for Research and Community Services, Institut Teknologi Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/jpwk.2022.33.2.3

This study attempted to identify underdeveloped areas in regencies/cities on the island of Java, Indonesia, based on a number of infrastructure indicators. An unsupervised learning approach was used to perform partition clustering with the K-Means, K-Medoids, and CLARA methods. In addition to technically obtaining clustering results and conducting a performance comparison of the three unsupervised learning methods, another objective of this research was to map the clustering results to make it easier to recognize the characteristics of the regions indicated as underdeveloped areas, which should be absolute priorities for infrastructure development. It was found that the best clustering method was the CLARA method, with a connectivity coefficient of 7.4794 and a Dunn’s index value of 0.1042. The partition clustering of regencies/cities on Java Island using the CLARA method based on infrastructure indicators resulted in 99 regencies/cities included in the cluster of areas with underdeveloped infrastructure, while 12 regencies/cities were included in the cluster of areas with developing infrastructure, and 8 regencies/cities were included in the cluster of areas with developed infrastructure.

Perbandingan Metode Propensity Score Matching- Support Vector Machine dan Propensity Score Matching-Regresi Logistik Biner Pada Kasus HIV/AIDS Silviatul Hasanah; Bambang Widjanarko Otok; Adeni - Adeni
Sainmatika: Jurnal Ilmiah Matematika dan Ilmu Pengetahuan Alam Vol. 18 No. 1 (2021): Sainmatika : Jurnal Ilmiah Matematika dan Ilmu Pengetahuan Alam
Publisher : Universitas PGRI Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31851/sainmatika.v17i3.4925

Penelitian non-experimental dapat dilakukan diberbagai bidang salah satunya bidang kesehatan. Dalam bidang kesehatan Randomized Controlled Trials (RCT) tidak dapat dilakukan karena berhubungan dengan nyawa manusia. Kovariat pada penelitian non-experimental biasanya tidak seimbang antara kelompok treatment dan kontrol. Ketidakseimbangan ini menyebabkan estimasi efek perlakuan menjadi bias. Selain itu, adanya variabel confounding juga mengakibatkan estimasi efek perlakuan bias. Metode yang sesuai untuk mengatasi efek perlakuan yang bias adalah metodeÂ Propensity Score (PS). Salah satu metode yang dikembangkan dari propensity score adalah metode Propensity Score Matching (PSM). Pada penelitian ini, peneliti akan membandingkan performa metode propensity score matching-support vector machine dan metode propensity score matching-regresi logistik biner pada kasus infeksi oportunistik HIV/AIDS. Variabel confounding yang digunakan dalam penelitian ini adalah variabel infeksi oportunistik. Data yang digunakan dalam penelitian ini adalah data pasien HIV/AIDS yang di rawat di Puskesmas Grati, Kabupaten Pasuruan pada tahun 2016. Hasil analisis propensity score matching-support vector machine dan metode propensity score matching-regresi logistik biner menunjukkan bahwa variabel pemberian terapi ARV berpengaruh secara signifikan terhadap infeksi oportunistik pada pasien HIV/AIDS. Jika dilihat seberapa bias yang dapat tereduksi, propensity score matching-regresi logistik biner mampu mereduksi bias lebih besar dibanding metode propensity score matching-regresi logistik biner yaitu sebesar 60,25%. Namun, metode propensity score matching-support vector machine dapat menghasilkan nilai bias (setelah matching) yang lebih kecil dibanding metode propensity score matching-regresi logistik biner yaitu sebesar 0,044.

Healthcare Providers’ Knowledge, Attitude, and Perspective regarding Diabetes Self-Management during Ramadan Fasting: A Cross-Sectional Study Sh Sugiharto; Wiwiek Natalya; Bambang Widjanarko Otok
Nurse Media Journal of Nursing Vol 11, No 1 (2021): (April 2021)
Publisher : Department of Nursing, Faculty of Medicine, Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/nmjn.v11i1.33926

Background: Evidence shows that most general practitioners have low knowledge related to diabetes self-management during Ramadan fasting. However, studies on healthcare providers’ competencies related to diabetes self-management during Ramadan fasting are still rare.Purpose: This study aimed to investigate healthcare providers’ knowledge, attitude, and perspective concerning diabetes self-management during Ramadan fasting.Methods: The study applied a cross-sectional design and was conducted in forty-one (41) community health centers in Pekalongan, Central Java, Indonesia. The study participants were medical doctors, nurses, nutritionists, pharmacists, and public health officers. The total sampling technique was used. There were 205 healthcare providers who met the inclusion criteria. Their knowledge, attitude, and perspective were assessed using a questionnaire developed by Zainudin and Hussain. The Wilcoxon test was used to analyze the data. Results: The healthcare providers’ knowledge of Ramadan fasting was very low (36.79±26.11). More than half of the respondents (53.17%) advised diabetic patients to manage diabetes in general, although specific counseling for diabetic patients related to fasting in Ramadan month was not provided (55.12%). The perspective of Ramadan fasting among healthcare providers was moderate (62.68%±30.40). The results also showed that general and safe practice knowledge significantly affected the healthcare providers’ perspective toward Ramadan fasting (Z=-12.49, p=0.000), (Z=-12.02, p=0.000), respectively. Conclusion: Healthcare providers’ knowledge and attitude concerning diabetes self-management during Ramadan fasting were low. Accordingly, this affected their perspective. It is strongly recommended that a formal Ramadan fasting management training program should be given regularly to provide appropriate consultations and services.

Pengelolaan Sampah sebagai Kompos di Wisata Gronjong Wariti Berbasis Pemberdayaan Masyarakat dengan Media Bata Terawang Santi Wulan Purnami; Harmin Sulitiyaning Titah; Diah Puspito Wulandari; Yoyok Setyo Hadiwidodo; Bambang Widjanarko Otok; Purhadi Purhadi; Jerry D. T. Purnomo; Achmad Choiruddin; Shofi Andari; Abima Aunur Rochman
Sewagati Vol 7 No 3 (2023)
Publisher : Pusat Publikasi ITS

Mejono merupakan sebuah desa yang terletak di Kecamatan Plemahan, Kabupaten Kediri, Provinsi Jawa Timur. Di Desa Mejono terdapat sebuah sungai bernama Gronjong Wariti yang dijadikan tempat wisata dengan wahana yang tersebar di sepanjang sungai. Tingginya aktivitas pengunjung dan banyaknya pohon bambu yang tumbuh disepanjang Sungai Gronjong Wariti menimbulkan peningkatan timbunan sampah yang memberikan dampak buruk bagi kesehatan, lingkungan, ekonomi, serta mengurangi nilai estetika. Dari observasi permasalahan yang ada pada mitra, tim pengabdian masyarakat Institut Teknologi Sepuluh Nopember menawarkan solusi yakni edukasi pemilahan sampah dan mengelola sampah organik menjadi kompos menggunakan media bata terawang. Edukasi pemilahan sampah menjadi sampah organik dan anorganik dilakukan kepada pengelola, warga sekitar dan pengunjung wisata Gronjong Wariti. Tempat pilah sampah diberikan di tempat yang mudah dijangkau di area Wisata. Pembangunan Bata Terawang dengan warna yang menarik ditempatkan di titik yang menghasilkan sampah organik terbanyak tiap harinya. Proses pengomposan media Bata Terawang dimulai dengan pengisian sampah organik, penyemprotan EM4, pengadukan dan pemanenan kompos. Waktu yang dibutuhkan mulai dari tahap pengisian sampah sampai tahap pemanenan diperkirakan memakan waktu 40 hari.

Pendampingan Peningkatan Kualitas Analisis Data dalam Publikasi Ilmiah dan Penelitian di Lingkungan Dosen Fakultas Ilmu Kesehatan Universitas Wiraraja Andari, Shofi; Otok, Bambang Widjanarko; Hargandi, Priyanka
Jurnal ABDIRAJA Vol 7 No 2 (2024): Jurnal Abdiraja
Publisher : LPPM Universitas Wiraraja Sumenep, Jalan Raya Sumenep Pamekasan KM. 5 Patean Sumenep 69451, Telp. (0328) 673399 Fax. (0328) 673088

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24929/adr.v7i2.3764

Kualitas analisis data merupakan salah satu aspek krusial dalam menghasilkan publikasi ilmiah yang berkualitas dan relevan. Program pendampingan ini bertujuan untuk meningkatkan pemahaman dan keterampilan dosen Fakultas Ilmu Kesehatan Universitas Wiraraja dalam melakukan analisis data untuk keperluan penelitian dan publikasi ilmiah. Kegiatan ini melibatkan pelatihan dan bimbingan langsung terkait metode mutakhir dalam structural equation modeling dan teknik analisis survival untuk mengevaluasi metode komplementer dalam integrasi pengobatan medis dengan narasumber dari Laboratorium Statistika Lingkungan dan Kesehatan Departemen Statistika Institut Teknologi Sepuluh Nopember. Metode yang digunakan dalam program ini meliputi workshop, diskusi interaktif, serta konsultasi personal terkait permasalahan spesifik yang dihadapi para dosen. Dengan adanya program ini, diharapkan kualitas publikasi ilmiah dosen Fakultas Ilmu Kesehatan dapat meningkat, sehingga berkontribusi positif pada pengembangan ilmu pengetahuan di bidang kesehatan.

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

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.

Co-Authors Abdul Khair Abima Aunur Rochman Achmad Choiruddin Adeni - Adeni Agus Suharsono Amin Tohari Angga Dwi Mulyanto Anisa Ramadhan Aqsari, Hasri Wiji Ari Fitriani Arief Wibowo Arief Wibowo Arifah Nur Ngafiyah, Arifah Nur Arumningtyas, Felinda Asih Kurniasih Lumaela Choiruddin, Achmad Cindy Cahyaning Astuti Diah Puspito Wulandari Dimas Achmad Fadhila Dukalang, Hendra Eko Saputro Eko Saputro Ernawati Ernawati Eta Dian Ayu A, Eta Dian Fadhilah, Rahmi Fredi Suryadi Fredi Suryadi Ghazali, Muhammad 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 Nathanel, Jeshen Oktavian ningrum, amanda ratna Oktiva Dhani Arleina Purhadi Purhadi Rahmawati Erma Standsyah Rakhmah Wahyu Maya Rama Hiola Rini, Dyah Setyo Riza Inayah Santi Martini Santi Wulan Purnami Sarmanu, Sarmanu Satria Adi Nugraha 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

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