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All Journal Media Statistika Jurnal Statistika Universitas Muhammadiyah Semarang Jurnal Kesehatan Masyarakat Inferensi Jurnal Abdiraja Sewagati Jurnal Pengabdian Masyarakat Kesehatan Journal of Research on Community Engagement Kesmas: Jurnal Kesehatan Masyarakat Nasional (National Public Health Journal)
Shofi Andari
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Religion Agriculture, Biological Sciences & Forestry Arts Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Dentistry Economics, Econometrics & Finance Education Energy Engineering Health Professions Immunology & microbiology Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Medicine & Pharmacology Nursing Public Health Social Sciences Other

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APLIKASI GENERALIZED SPACE TIME AUTOREGRESSIVE (GSTAR) PADA PEMODELAN VOLUME KENDARAAN MASUK TOL SEMARANG Anggraeni, Dian; Prahutama, Alan; Andari, Shofi
MEDIA STATISTIKA Vol 6, No 2 (2013): Media Statistika
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (625.794 KB) | DOI: 10.14710/medstat.6.2.61-70

Abstract

Time series data from neighboring separated location often associated both spatially and through time. Generalized space time autoregrresive (GSTAR) model is one of the most common used space-time model to modeling and predicting spatial and time series data. This study applied GSTAR to modeling vehicle volume entering four tollgate (GT) in Semarang City: GT Muktiharjo, GT Gayamsari, GT Tembalang, and GT Manyaran. The data was collected by month from 2003 to 2009. The best model provided by this study is GSTAR (21)-I(1,12) uniformly weighted with the smallest REMSE mean 76834. Key words: GSTAR, Vehicle Volume, Space-Time Model
Assessing the Quality of Life Among Commuting Workers and Uncomfortable Travel Kusmawan, David; Andari, Shofi; Susilowati, Indri H
KEMAS: Jurnal Kesehatan Masyarakat Vol 16, No 3 (2021)
Publisher : Department of Public Health, Faculty of Sport Science, Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/kemas.v16i3.25467

Abstract

Many studies conclude commuting that has an impact on the quality of life of the commuter both in the physical, psychological, health, and environmental aspects of the commuter. Increased risk of musculoskeletal disorder (MSD), obesity, increased blood pressure, and low physical health conditions are found in prolonged commuting activities as the existing problem in public health. This study using cross sectional design with WHO QOL BREF questionnaire.  The total sample 155 respondents of commuting working using KRL Commuter Line Bogor to Jakarta in 2018. The initial model for assessing the relationship directly and indirectly between quality of life among commuting workers and travel uncomfortable, health complaint, psychological condition, bad experience, and income was constructed on the basis of severe hypotheses Based on the results of the path analysis it was found that income has a direct effect on quality of life. Psychological conditions have a direct effect on quality of life. Psychological condition is intervening variable for travel uncomfortable and health complaints as indirect effect. These results may help to identify the direct factor to improve the quality of life among commuting workers and as a basis for developing policies to improve the quality of public transportation services for commuting workers, and as a basis for formulating policies related to housing development locations that are integrated with public transportation facilities.
SMOOTH SUPPORT VECTOR MACHINE DAN MULTIVARIATE ADAPTIVE REGRESSION SPLINE UNTUK MENDIAGNOSIS KANKER PAYUDARA Shofi Andari; Santi W. Purnami; Bambang W. Otok
Jurnal Statistika Universitas Muhammadiyah Semarang Vol 1, No 2 (2013): Jurnal Statistika Universitas Muhammadiyah Semarang
Publisher : Department Statistics, Faculty Mathematics and Natural Science, UNIMUS

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (473.431 KB) | DOI: 10.26714/jsunimus.1.2.2013.%p

Abstract

Kanker payudara merupakan kanker yang paling umum menyerang wanita dan menjadi kanker penyebab kematian utama bagi wanita di seluruh dunia. Penyebab dari kanker payudara masih belum dapat dipastikan sehingga metode preventif yang spesifik untuk penyakit ini juga belum dapat ditentukan, oleh karena itu diagnosis terhadap kanker payudara sedini mungkin menjadi sangat penting bagi para dokter dan tenaga medis untuk menyelamatkan pasien maupun orang-orang yang memiliki faktor risiko kanker payudara. Beberapa penelitian telah dikembangkan dengan ide dasar mengklasifikasikan kanker payudara berdasarkan rekaman gambar radiologi dan usia pasien terhadap hasil biopsi. Berdasarkan keunggulan smooth SVM (SSVM) serta potensi MARS dalam menyelesaikan permasalahan diagnosis kanker payudara, tulisan ini mengkaji dan memaparkan kedua metode tersebut digunakan untuk mengklasifikasikan kanker payudara ke dalam dua kelompok yaitu kelompok malignant dan kelompok benign. Secara umum baik SSVM maupun MARS mampu menghasilkan tingkat akurasi yang sama-sama tinggi. Tingkat akurasi kedua metode dalam mendiagnosis kanker payudara ke dalam kelompok benign dan malignant yang cukup tinggi dipercaya dapat mendukung prosedur pemeriksaan dan diagnosis kanker payudara.Kata Kunci : kanker payudara, klasifikasi, smooth SVM, MARS
Edukasi Peningkatan Kemampuan Pengenalan dan Pengelolaan Stress, Kecemasan, dan Depresi di Kalangan Mahasiswa di Surabaya Timur Wulandari, Diah Puspito; Purnami, Santi Wulan; Rahmawati, Novi Agung; Andari, Shofi; Suprapto, Yoyon Kusnendar; Boedinugroho, Hanny; Juniastuti, Susi; Zaini, Ahmad; Kurniawan, Arief; Fandiantoro, Dion Hayu
Sewagati Vol 8 No 4 (2024)
Publisher : Pusat Publikasi ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j26139960.v8i4.1068

Abstract

Jiwa merupakan salah satu unsur yang membentuk kesehatan pada manusia. Jiwa yang sehat membuat seorang individu mampu mengembangkan dirinya secara fisik, mental, spiritual dan sosial. Ketika seseorang memasuki usia produktif, yaitu 15-64 tahun, seharusnya ia bisa memaksimalkan pengembangan potensi dirinya. Akan tetapi justru di rentang usia ini bermunculan permasalahan yang bersumber dari jiwa yang tidak sehat, mulai dari tingkat ringan hingga yang paling berat, yaitu tindakan bunuh diri. Sebagaimana laiknya penyakit yang lain, gangguan kesehatan jiwa bisa tertangani dengan baik atau tingkat harapan kesembuhannya meningkat jika permasalahannya bisa terdeteksi sejak dini. Pada umumnya pasien tidak mendapatkan penanganan yang baik karena dia tidak mengetahui bahwa gejala-gejala yang dimilikinya mengindikasikan penyakit kejiwaan, cenderung meremehkan, atau khawatir mendapat stigma yang buruk dari masyarakat. Melalui sebuah seminar tentang pengelolaan stress dan deteksi dini, mahasiswa sebagai bagian dari angkatan usia produktif mendapatkan pembekalan tentang tanda-tanda gangguan kesehatan mental, penyebab dan penanganannya.
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

Abstract

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.
Estimating Confidence Intervals for Hazard Ratio with Composite Covariates in the Cox Models Andari, Shofi
Inferensi Vol 8, No 2 (2025)
Publisher : Department of Statistics ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j27213862.v8i2.22710

Abstract

Hazard ratio (HR) estimation is fundamental in survival analysis, particularly in Cox proportional hazards models, where covariates influence time-to-event outcomes. When covariates are combined into composite variables, constructing confidence intervals (CIs) for the resulting HRs becomes challenging due to potential multicollinearity, interaction effects, and violations of the proportional hazards assumption. This paper presents a systematic approach for constructing confidence intervals for HRs associated with composite covariates, comparing standard methods such as the Wald, likelihood ratio, and bootstrap-based intervals. Through simulation studies for different scenarios of Cox regression models, we evaluate the performance of these methods in terms of bias, coverage probability, and robustness under various data conditions. The findings of this study provide practical recommendations for researchers dealing with composite covariates in survival analysis, ensuring reliable inference in epidemiological and clinical studies.
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.
PENDAMPINGAN DAN PENINGKATAN KUALITAS ANALISIS DATA DALAM PUBLIKASI ILMIAH BAGI CIVITAS AKADEMIK STIKES MAJAPAHIT MOJOKERTO Bambang Widjanarko Otok; Jorge Mateu; Purhadi; Sutikno; Santi Wulan Purnami; Jerry Dwi Trijoyo Purnomo; Achmad Choiruddin; Shofi Andari; Eka Diah Kartiningrum
JURNAL PENGABDIAN MASYARAKAT KESEHATAN (ABDIMAKES) Vol 4 No 1 (2024): FEBRUARI
Publisher : Jurnal Pengabdian Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55316/amk.v4i1.1012

Abstract

Efforts to assist and improve the quality of data analysis in scientific publications for the academic community of Stikes Majapahit Mojokerto are held as an effort to increase the achievement of scientific publications in reputable publications which are very important to improve the accreditation status of universities. The purpose of this activity is to improve participants' understanding of the preparation of reputable scientific articles, participants' ability to model in SEM using AMOS, and the ability of the academic community to write and discuss the results of modeling analysis in scientific articles. This activity was carried out from April-June 2023 at Stikes Majapahit Mojokerto. The results of the activity showed an increase in participants' understanding of the concepts of SEM and Multivariate, CFA and path analysis and scientific article management. This activity should be an annual event that can boost the achievement of scientific publications, especially in the health academic community. keywords: Mentoring, improvement, quality, analysis, publication.
A Path Analysis Model for Explaining the Factors Influencing Wearing a Mask among Commuting Workers Using Commuter Line Bogor-Jakarta Kusmawan, David; Andari, Shofi; Gustina, Ira; Susilowati, Indri Hapsari; Wirawan, Mufti
Kesmas Vol. 16, No. 2
Publisher : UI Scholars Hub

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

Abstract

Jakarta is one of the most air-polluted cities in the world, which can increase the health risk of commuting workers exposed to pollutants. This study aimed to determine the factors that directly and indirectly affect healthy behavior (wearing a mask) for commuters using the Bogor-Jakarta Commuter Line. Furthermore, a total of 155 respondents participated and the data collected were analyzed using descriptive and path analysis. The commuters aware of the hazard potential related to air pollution during commuting were 137 people (88.4%). While 104 people (67.1%) were aware of the good perception of pollution and 125 uses masks during commuting (80.6%). The healthy behavior in commuting workers using Commuter Line was affected by some factors, both directly and indirectly. The knowledge and commuting experience toward healthy behavior were two variables that significantly influenced on healthy behavior. The knowledge was also the only mediated variable with a significant indirect effect of education on healthy behavior.
Co-Authors Achmad Choiruddin Ahmad Zaini Alan Prahutama Anak Agung Gede Sugianthara Angga Dwi Mulyanto Arief Kurniawan Bambang W. Otok Bambang Widjanarko Otok Bambang Widjanarko Otok Boedinugroho, Hanny Choiruddin, Achmad Cindy Cahyaning Astuti David Kusmawan Diah Puspito Wulandari Eka Diah Kartiningrum Fandiantoro, Dion Hayu Gustina, Ira Hargandi, Priyanka Indri Hapsari Susilowati Jerry Dwi Trijoyo Purnomo Jorge Mateu Juniastuti, Susi Purhadi Purhadi Purhadi Rahmawati, Novi Agung Santi W. Purnami Santi Wulan Purnami Santi Wulan Purnami SUTIKNO Wirawan, Mufti Yoyon Kusnendar Suprapto