Article Per Year (5 Year)
p-Index From 2021 - 2026
4.407
P-Index
This Author published in this journals
All Journal Media Statistika Jurnal Sains dan Seni ITS IPTEK The Journal of Engineering IPTEK Journal of Science IPTEK Journal of Proceedings Series IPTEK The Journal for Technology and Science Jurnal Statistika Universitas Muhammadiyah Semarang CAUCHY: Jurnal Matematika Murni dan Aplikasi Journal of the Indonesian Mathematical Society Jurnal Teknobisnis Kubik Syntax Literate: Jurnal Ilmiah Indonesia BAREKENG: Jurnal Ilmu Matematika dan Terapan Jambura Journal of Mathematics Accounting and Management Journal Inferensi Journal of Infrastructure and Facility Asset Management Madaniya KUBIK: Jurnal Publikasi Ilmiah Matematika JAMBURA JOURNAL OF PROBABILITY AND STATISTICS J-SAKTI (Jurnal Sains Komputer dan Informatika) JURNAL ILMIAH GLOBAL EDUCATION Golden Ratio of Marketing and Applied Psychology of Business COMSERVA: Jurnal Penelitian dan Pengabdian Masyarakat Journal Research of Social Science, Economics, and Management PERMANA : Jurnal Perpajakan, Manajemen, dan Akuntansi UNP Journal of Statistics and Data Science Sewagati Jurnal Ekonomi Kreatif dan Manajemen Bisnis Digital (JEKOMBITAL)
Vita Ratnasari
Jurusan Statistika Institut Teknologi Sepuluh Nopember
Religion Arts Humanities Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Mechanical Engineering Physics Public Health Social Sciences Transportation Other

Published : 68 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 68 Documents
Search

 3   4   5   6   7 
Analysis of the Influence of 7P Marketing Mix on Customer Satisfaction and Loyalty: A Case Study of Nanda Gift & Souvenir Shop Ananda, Dwi Shinta; Ratnasari, Vita
COMSERVA : Jurnal Penelitian dan Pengabdian Masyarakat Vol. 4 No. 11 (2025): COMSERVA: Jurnal Penelitian dan Pengabdian Masyarakat
Publisher : Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/comserva.v4i11.3003

Abstract

In the midst of increasingly fierce market competition, Nanda Gift & Souvenir Shop, as a provider of a wide range of gift products for various events, faced the challenge of increasing customer satisfaction and loyalty. The background of this problem arises from the level of customer satisfaction that is not optimal, which then has an impact on the low level of loyalty and the frequency of purchases of regular customers. This study aims to identify the factors that affect customer satisfaction at Nanda Gift & Souvenir Shop and evaluate the effectiveness of using Marketing Mix 7P to strengthen customer loyalty. The analysis was carried out by quantitative method through the distribution of questionnaires with 202 respondents, then analyzed using Structural Equation Modeling Partial Least Square (SEM-PLS). Based on the results of SEM-PLS analysis, it was found that the factors of product, price, place, promotion, labor, process, and physical evidence have a significant influence on customer satisfaction. The labor factor has the most dominant influence, followed by product, promotion, and physical evidence. Furthermore, the results of the study show that customer satisfaction has a significant and positive influence on customer loyalty. Customers who are satisfied with the products and services they receive tend to have higher levels of loyalty.
Semiparametric Bivariate Probit Model Early Breastfeeding Initiation and Exclusive Breastfeeding Amalia, Suci; Ratnasari, Vita; Zain, Ismaini
Journal of the Indonesian Mathematical Society Vol. 31 No. 3 (2025): SEPTEMBER
Publisher : IndoMS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22342/jims.v31i3.1952

Abstract

Regression analysis in which the response variable is categorical can be processed using the probit model. The probit model is based on the normal distribution, in addition to its interpretation based on marginal effect values. A probit model consisting of two response variables is called the bivariate probit model, in which the response variables each consist of two categories. The predictor variables in bivariate probit model can be either categorical and also continuous data. Bivariate probit model both response variables have a relationship. One of the developments of the bivariate probit model is the semiparametric bivariate probit model, where the bivariate probit model in which there is a parametric and a nonparametric model in this case in the form of a continuous covariate smooth function. Semiparametric bivariate probit model have the advantage of being able to address the problem of nonlinearity of undetected continuous predictor variables that can cause modeling inaccuracies that can effect the results of estimation accuracy. Parameter estimation of semiparametric bivariate probit model uses the Penalized Maximum Likelihood Estimation approach, but the equation obtained is not closed form so iteration are needed to solve it. The iteration used is Fisher Scoring. The semiparametric bivariate probit model was applied to data on early breastfeeding initiation and exclusive breastfeeding in East Java Province in 2021 with variables that affect early breastfeeding initiation being birth attendants while those affecting exclusive breastfeeding are maternal age and maternal education level.
Estimasi Produksi Beras dengan Estimator Campuran Spline Truncated – Kernel di Jawa Timur Dani, Andrea Tri Rian; Putra, Fachrian Bimantoro; Budiantara, I Nyoman; Ratnasari, Vita
Jambura Journal of Mathematics Vol 7, No 2: August 2025
Publisher : Department of Mathematics, Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37905/jjom.v7i2.33379

Abstract

This study aims to apply a nonparametric regression model using a mixed estimator of Truncated Spline and Kernel to estimate Rice Production in East Java Province. This model combines several predictor variables, namely Harvested Area of Rice Plants, Rice Productivity, Population, and Human Development Index. The selection of the best combination of variables is based on the lowest Generalized Cross-Validation (GCV) value to obtain a stable and accurate model. The results show that the model with a combination of variables Harvested Area of Rice Plants and Rice Productivity set as Truncated Spline components with three knot points, and Population and Human Development Index as Kernel components produces a minimum GCV value of 85,504,949, RMSE of 242,723.6, and R² of 91.24%. This model successfully captures non-linear relationship patterns and provides more stable estimates. The implication of this finding is that the resulting model can be used to design more efficient agricultural policies, by considering the factors that interact dynamically in rice production.
ANALISIS KUALITAS LAYANAN BONGKAR MUAT DI PT TERMINAL PETIKEMAS SURABAYA DENGAN METODE SERVQUAL DAN QFD Bastian, Endhy; Ratnasari, Vita; Achmadi, Fuad
JURNAL AKUNTANSI DAN MANAJEMEN Vol 2 No 1 (2018): Accounting and Management Journal
Publisher : Universitas Nahdlatul Ulama Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33086/amj.v2i1.65

Abstract

PT Terminal Petikemas Surabaya (TPS) has become one of the port services company has been trusted by various Indonesian and international companies in the management of international and domestic containers as well as various other loading and unloading services. PT TPS in providing international container management services is required to adjust its service level in accordance with international standards. Based on the Key Performance Indicator (KPI), the performance of PT TPS compared to some international ports in terms of Trund-Around Time (TRT), Gross Mover Per Hour (GMPH), and Berth Move Per Hour (BMPH) are still far behind with ports in UAE, Asia Pacific and India. The low performance of PT TPS based on the three indicators shows that the quality of service PT TPS still needs to be repaired. In this research, perception analysis and customer expectation with Service Quality (SERVQUAL) method to measure service quality of PT TPS. The gap between perception and customer expectation from Service Quality (SERVQUAL) is improved by Quality Function Deployment (QFD) method. And based on the two analysis, the preparation of strategies that should be applied by PT TPS to improve the quality of service. The results obtained show that all dimensions have satisfaction level “satisfied” which means that customers value the services provided by PT TPS is enough to meet expectations but still not maximal. Furthermore, Cartesius diagram analysis showed that there are 5 indicators that need improvement either immediately. The QFD analysis is performed to determine the recommended improvements on 5 indicators. Indicators that require top priority are indicators related to the competence of officers, especially administrative officers. So the management recommendation is to make Standard Operating Procedure (SOP) for each activity in port for administration officer
ANALISIS KLASIFIKASI ARTIST MUSIC MENGGUNAKAN MODEL REGRESI LOGISTIK BINER DAN ANALISIS DISKRIMINAN DANI, ANDREA TRI RIAN; RATNASARI, VITA; NI'MATUZZAHROH, LUDIA; AVIANTHOLIB, IGAR CALVERIA; NOVIDIANTO, RADITYA; ADRIANINGSIH, NARITA YURI
Jambura Journal of Probability and Statistics Vol 3, No 1 (2022): Jambura Journal Of Probability and Statistics
Publisher : Department of Mathematics, Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34312/jjps.v3i1.13708

Abstract

Characteristics of a song are an important aspect that must be kept authentic by a singer. Using the Spotify API feature, we can extract the characteristics or elements of a song sung by a singer.  There are eight (8) elements that we can get from the extraction of a song, namely: Danceability, Energy, Loudness, Speechiness, Acousticness, Liveness, Valence, and Tempo. Based on the extraction results, we can label the music artist using the classification analysis method. In this study, the labels are music artists, namely Ariana Grande and Taylor Swift. This study aims to obtain the classification of music artist labels using binary logistic regression methods and discriminant analysis. The response variable used in this study is Artist Music (Y) which is categorized into two categories, namely Ariana Grande (Y=0) and Taylor Swift (Y=1). The data will be divided into training and testing data with the proportion of data 90:10 and 80:20. Based on the results of the analysis, the binary regression model that was built, with the proportion of training testing data that is 90:10 has a classification accuracy for data testing of 90.00%.
Pemodelan Kadar Hemoglobin pada Pasien Demam Berdarah di Kota Samarinda Menggunakan Regresi Semiparametrik Spline Truncated Dani, Andrea Tri Rian; Putra, Fachrian Bimantoro; Zen, Muhammad Aldani; Sifriyani, Sifriyani; Fauziyah, Meirinda; Ratnasari, Vita; Adrianingsih, Narita Yuri
Jambura Journal of Probability and Statistics Vol 4, No 2 (2023): Jambura Journal Of Probability and Statistics
Publisher : Department of Mathematics, Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37905/jjps.v4i2.18923

Abstract

This article discusses the innovation of statistical modeling in regression analysis with a semiparametric approach applied to health data. Regression analysis is a method in statistics that takes a lot of roles in statistical modeling. Regression analysis is used to model the relationship between the independent variable (x) and the dependent variable (y). There are three approaches to regression analysis, namely parametric, nonparametric, and a combination of the two, namely semiparametric. Semiparametric regression is used when the dependent variable has a known relationship with some of the independent variables and has an unknown pattern of a relationship with some of the other independent variables. The purpose of this study was to model hemoglobin levels in dengue fever patients, with the independent variables used being the number of hematocrits (x1) and the number of leukocytes (x2). The method used is spline truncated semiparametric regression. The truncated spline estimator was chosen for the nonparametric component because it has many advantages in modeling, one of which is being able to model patterns where the form of the relationship is unknown. The parameter estimation used is the maximum estimation. Selection of the optimal knot point using Generalized Cross-Validation (GCV). Based on the results of the analysis, the truncated spline semiparametric regression model was obtained which was applied to the hemoglobin level data in a model with three knots which have a coefficient of determination of 89.074%. Based on the results of testing the hypothesis simultaneously, it can be concluded that simultaneously the independent variable has a significant effect on the dependent variable. In the partial test, it is concluded that the variables x1 and x2 have a significant influence on the dependent variable y .
Analysis of the Influence of 7P Marketing Mix on Customer Satisfaction and Loyalty: A Case Study of Nanda Gift & Souvenir Shop Ananda, Dwi Shinta; Ratnasari, Vita
COMSERVA : Jurnal Penelitian dan Pengabdian Masyarakat Vol. 4 No. 11 (2025): COMSERVA: Jurnal Penelitian dan Pengabdian Masyarakat
Publisher : Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/comserva.v4i11.3003

Abstract

In the midst of increasingly fierce market competition, Nanda Gift & Souvenir Shop, as a provider of a wide range of gift products for various events, faced the challenge of increasing customer satisfaction and loyalty. The background of this problem arises from the level of customer satisfaction that is not optimal, which then has an impact on the low level of loyalty and the frequency of purchases of regular customers. This study aims to identify the factors that affect customer satisfaction at Nanda Gift & Souvenir Shop and evaluate the effectiveness of using Marketing Mix 7P to strengthen customer loyalty. The analysis was carried out by quantitative method through the distribution of questionnaires with 202 respondents, then analyzed using Structural Equation Modeling Partial Least Square (SEM-PLS). Based on the results of SEM-PLS analysis, it was found that the factors of product, price, place, promotion, labor, process, and physical evidence have a significant influence on customer satisfaction. The labor factor has the most dominant influence, followed by product, promotion, and physical evidence. Furthermore, the results of the study show that customer satisfaction has a significant and positive influence on customer loyalty. Customers who are satisfied with the products and services they receive tend to have higher levels of loyalty.
Pemilihan Skala Prioritas Lokasi Pemasangan Sisip Trafo Distribusi dengan Metode Ahp – Topsis di PT. PLN ULP Pangkalan Bun Bachtiar, Raditya Fahmi; Ratnasari, Vita
Syntax Literate Jurnal Ilmiah Indonesia
Publisher : Syntax Corporation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36418/syntax-literate.v8i12.14217

Abstract

In this study, a total of 57 transformers with a load measurement status above 95% (overload) were recorded in the year 2022 and require transformer insertions. Every year, PLN ULP Pangkalan, on average, carries out a transformer insertion program of 10 transformers due to budget limitations. With this number, it is necessary to prioritize locations based on 6 criteria: transformers with overloads >95%, maneuvering up to 50% of existing transformers, a waiting list of ready-to-connect customers, business tariff (B) customers, landowner permits required, and the need for adding new network extensions. The Analytic Hierarchy Process (AHP) method is used for weighting the criteria, followed by the Technique for Other Preference by Similarity of Ideal Solution (TOPSIS) method to determine the priority sequence of distribution transformer insertion locations. The results of the AHP method show that the highest weight is assigned to the criteria of transformers with overloads >95%, with a weight of 59.3%. The lowest weight is assigned to the criteria of having business tariff (B) customers, with a weight of 3.8%. Using the TOPSIS method, the top priority location for distribution transformer insertion is at substation PBN-0262, with a preference value of 0.721038962870702. Meanwhile, the lowest priority location is found at transformer PBH-0054, with a preference value of 0.157302058325342. The sensitivity analysis results show that the priority sequence of distribution transformer insertion locations remains consistent and does not significantly change, indicating that the TOPSIS method's prioritization results in this study are consistent.
The Influence of Digitalization Readiness, Digital Mindset and Digital Culture on Digitalization Value in Multibusiness Companies Barlian, Noer Aisyah; Ratnasari, Vita
Jurnal Ekonomi Kreatif dan Manajemen Bisnis Digital Vol 4 No 2 (2025): NOVEMBER
Publisher : Transpublika Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55047/jekombital.v4i2.1082

Abstract

In an era of increasingly massive technological disruption, companies are required to adapt and transform to remain relevant and competitive. Digital transformation has become a necessity, even for companies operating in regions with low technology adoption due to low human development indices. Therefore, multi-business companies undergoing digital transformation face various challenges, both internally and externally. This research aims to determine whether digitalization readiness, digital mindset, and digital culture influence digitalization value. The analysis method is quantitative, using a questionnaire that is subsequently analyzed with Structural Equation Modeling- Partial Least Square (SEM-PLS). The data used in this research is the result of a questionnaire survey aimed at employees in multi-business companies that use technology in their operational processes. The findings showed that Digitalization Readiness influences Digital Mindset and Digital Culture but does not have a direct effect on Digitalization Value. Digitalization Readiness has an effect on Digitalization Value through Digital Mindset, but not through Digital Culture. Ultimately, the key to maximizing the benefits of digitalization for multibusiness firms lies not only in being prepared and having a supportive culture, but also in cultivating a digital mindset. This mindset serves as the crucial path for creating value and should be the main focus for organizations aiming to fully embrace digital transformation.
Pengembangan Kapasitas Lembaga Desa Dalam Membangun Data Untuk Evaluasi Ketercapaian SDGs Desa Ratnasari, Vita; Rumiati, Agnes Tuti; Zain, Ismaini; Budiantara, I Nyoman; Nuroini, Husna Miratin; Pramaningrum, Dea Saraswati
Madaniya Vol. 7 No. 1 (2026)
Publisher : Pusat Studi Bahasa dan Publikasi Ilmiah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53696/27214834.1688

Abstract

Kabupaten Mojokerto memiliki tantangan dalam pelaksanaan dan pemantauan ketercapaian SDGs Desa, khususnya dalam hal kualitas data dan kapasitas sumber daya manusia di tingkat desa. Berdasarkan pengalaman serupa di Kabupaten Sidoarjo, diketahui bahwa peningkatan kapasitas aparatur desa melalui pelatihan, penyusunan SOP, dan penggunaan sistem informasi digital sangat efektif dalam memperbaiki tata kelola data pembangunan berkelanjutan. Permasalahan utama yang dihadapi mitra meliputi rendahnya literasi data SDGs di desa, ketiadaan panduan operasional, dan belum adanya sistem yang memungkinkan monitoring ketercapaian indikator secara mandiri di tingkat desa. Solusi yang diusulkan meliputi empat pendekatan utama. Pertama, pelatihan kepada perangkat desa terkait konsep dan indikator SDGs Desa serta teknik pendataan. Kedua, penyusunan dokumen SOP yang memberikan panduan teknis pengelolaan data. Ketiga, pengembangan dashboard digital berbasis web sebagai alat bantu untuk input, visualisasi, dan pelaporan data SDGs Desa. Keempat, pendampingan teknis daring selama dua bulan untuk memastikan penerapan SOP dan pemanfaatan dashboard berjalan efektif. Target luaran kegiatan ini mencakup produk-produk berbasis IPTEK seperti dashboard SDGs Desa, SOP pengelolaan data SDGs, serta dokumen ilmiah dan publikasi berupa jurnal nasional, book chapter, artikel media populer, video dokumentasi, dan policy brief. Semua luaran disesuaikan dengan karakteristik pusat kajian yang berfokus pada penguatan sistem informasi dan literasi data masyarakat desa. Kegiatan ini direncanakan berlangsung selama enam bulan (Mei–Oktober 2025) dan melibatkan sepuluh desa dampingan di bawah koordinasi Bappeda Kabupaten Mojokerto. Pelaksanaan dimulai dari survei awal dan pemetaan kebutuhan, dilanjutkan dengan pelatihan intensif, pengembangan sistem digital, pendampingan implementasi, hingga evaluasi dan publikasi hasil. Melalui kegiatan ini, diharapkan akan tercipta sistem pengelolaan data SDGs yang berkelanjutan dan dapat direplikasi di desa-desa lainnya di Jawa Timur maupun secara nasional.
Co-Authors A. Tuti Rumiati Achmad Choiruddin Adatul Mukarohmah Agnes Tuti Rumiati Almira Qattrunnada Qurratu'ain Ananda, Dwi Shinta Andrea Tri Rian Dani Anita Susanti Arif Khoirul Anam AVIANTHOLIB, IGAR CALVERIA Bachtiar, Raditya Fahmi Bastian, Endhy Bastian, Endhy Bintang A. Banewang Budiantara, I Cinde Pristi Kurnia Merdiko Citto Pacama Fajrinia Clara Dewanti Dani, Andrea Tri Rian Deby Lolita Permatasari Dedy Dwi Prastyo Dian Widiana Kuswara Dwi Maumere Putra Dwiky Nugraha Eko Wahyu Wibowo Elika Tantri Eling Anindita, Raden Erma Oktania Permatasari Fachrian Bimantoro Putra Farid Achmadi Farony, Rivan Faurizal Limansyah Fauziyah, Meirinda Febriliani Masitoh Feni Ira Puspita, Feni Ira Fithriasari, Kartika Fitriana, Dewi Fuad Achmadi Gita Prestalita Halistin, Halistin Haryono Haryono Hesikumalasari Hesikumalasari Hitapriya Suprayitno, Hitapriya Husna Miratin Nuroini I Budiantara I Nyoman Budiantara I Putu Artama Wiguna Ida Nur Indah Sari Insan Amalia Mutfi Ismaini Zain Karimah, Aprilia Fitri Khaerun Nisa' Leti S. Gaimau Ludia Ni’matuzzahroh Made Ayu Dwi Octavanny Madu Ratna Marshiela, Jessie Reyna Maulidiah Nitivijaya Mokh. Suef Muhammad Aldani Zen Muthahharah, Sidratul NARITA YURI ADRIANINGSIH Ni'matuzzahroh, Ludia Nina Saraswati Nina Saraswati Nina Saraswati Nisa Andini Noer Aisyah Barlian Noer Aisyah Barlian, Noer Aisyah Novidianto, Raditya Nuraga Isma Affandi Nuroini, Husna Miratin Okka Kusumawati Asmoyo Pramaningrum, Dea Saraswati Purhadi Purhadi Putra, Fachrian Bimantoro Qonita Qurrota A'yun R Sutjipto Reny Nadlifatin Retno Dewi Yulianti Rhifda Zukhrufi Ria Asih Aryani Soemitro Ridho Bayuaji Rifani Nur Sindy Setiawan Rizfanni Cahya Putri Rizky Amalia Yulianti Ruri Agung Wahyuono Santi Puteri Rahayu Setiawan Setiawan Shofi Andari Sidratul Muthahharah Sifriyani, Sifriyani Sitti Imaslihkah Suci Amalia Tandri Patih Taufiqotul Masrukha Tesha Nisva Tiza Ayu Virania Veniola Forestryani Vida Faiza Rochmah Wahyu Indri Astuti Wibawati Wibawati Winarni Kurniasari Yashintia Arien Epriliyanti Yollafie Asmara Yossy Candra Yovita Liana Salsabila Yuanita Damayanti Zen, Muhammad Aldani