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Pemilihan Skala Prioritas Lokasi Pemasangan Sisip Trafo Distribusi dengan Metode Ahp â€“ 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

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

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.

Employee Engagement sebagai Strategi Peningkatan Kinerja Karyawan pada Pembangkit Listrik Joint Venture Indonesia–Tiongkok Affandi, Nuraga Isma; Ratnasari, Vita
Permana : Jurnal Perpajakan, Manajemen, dan Akuntansi Vol. 17 No. 3 (2025): Special Issue
Publisher : Faculty of Economics and Business, University of Pancasakti Tegal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24905/permana.v17i3.1393

Penelitian ini bertujuan untuk mengkaji peran employee engagement sebagai strategi peningkatan kinerja karyawan pada pembangkit listrik joint venture Indonesia–Tiongkok. Penelitian menggunakan pendekatan kuantitatif dengan metode survei terhadap karyawan operasional dan non-operasional. Analisis data dilakukan menggunakan Structural Equation Modeling–Partial Least Squares (SEM-PLS) untuk menguji hubungan antar variabel penelitian. Hasil penelitian menunjukkan bahwa employee engagement berpengaruh positif dan signifikan terhadap kinerja karyawan. Karyawan dengan tingkat keterikatan kerja yang tinggi mampu menunjukkan produktivitas, kualitas kerja, dan efektivitas pelaksanaan tugas yang lebih baik. Temuan ini menunjukkan bahwa peningkatan keterlibatan karyawan menjadi faktor penting dalam mendukung kinerja organisasi pada lingkungan kerja joint venture yang memiliki perbedaan budaya dan sistem manajemen. Penelitian ini memiliki keterbatasan pada penggunaan data cross-sectional dan lingkup penelitian yang terbatas pada satu pembangkit listrik. Meskipun demikian, hasil penelitian ini memberikan implikasi praktis bagi manajemen untuk memprioritaskan program peningkatan employee engagement sebagai strategi peningkatan kinerja karyawan. Penelitian ini memberikan nilai tambah dengan menyajikan bukti empiris mengenai peran employee engagement terhadap kinerja karyawan pada sektor ketenagalistrikan, khususnya pada pembangkit listrik joint venture Indonesia–Tiongkok.

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

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

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.

Modeling The Open Unemployment Rate Using A Ridge-Fourier Series Estimator In Nonparametric Regression Muthahharah, Sidratul; Budiantara, I; Ratnasari, Vita
KUBIK Vol 10 No 2 (2025): IN PRESS
Publisher : Department of Mathematics, Faculty of Science and Technology, UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/kubik.v10i2.55078

Nonparametric regression is widely used to model relationships between variables when the functional form of the regression curve remains unspecified. The Fourier series estimator is effective for capturing periodic and complex nonlinear patterns. However, in multivariable settings, strong correlations among predictors may lead to multicollinearity, resulting in unstable parameter estimates due to the near-singularity of the design matrix. Although Fourier-based estimators have been extensively developed, their formulation has not explicitly addressed this issue. This study proposes a ridge-Fourier series estimator for nonparametric regression to obtain stable parameter estimation in the presence of multicollinearity. The estimator is derived within a penalized likelihood framework by incorporating a ridge penalty into the Fourier series representation and estimating the parameters. The oscillation and ridge penalty parameters are selected simultaneously using the Generalized Cross Validation (GCV) criterion. The proposed method is applied to the 2024 Open Unemployment Rate data covering districts and cities in West Java. The optimal model is obtained at the oscillation combination of [4, 4, 4, 2] with a ridge parameter of 0.0336, accompanied by a coefficient determination of 91.1%, indicating that the proposed ridge-Fourier estimator provides more stable estimation and improved predictive performance under multicollinearity conditions.

Modeling The Open Unemployment Rate Using A Ridge-Fourier Series Estimator In Nonparametric Regression Muthahharah, Sidratul; Budiantara, I; Ratnasari, Vita
KUBIK Vol 10 No 2 (2025): IN PRESS
Publisher : Department of Mathematics, Faculty of Science and Technology, UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/kubik.v10i2.55078

Nonparametric regression is widely used to model relationships between variables when the functional form of the regression curve remains unspecified. The Fourier series estimator is effective for capturing periodic and complex nonlinear patterns. However, in multivariable settings, strong correlations among predictors may lead to multicollinearity, resulting in unstable parameter estimates due to the near-singularity of the design matrix. Although Fourier-based estimators have been extensively developed, their formulation has not explicitly addressed this issue. This study proposes a ridge-Fourier series estimator for nonparametric regression to obtain stable parameter estimation in the presence of multicollinearity. The estimator is derived within a penalized likelihood framework by incorporating a ridge penalty into the Fourier series representation and estimating the parameters. The oscillation and ridge penalty parameters are selected simultaneously using the Generalized Cross Validation (GCV) criterion. The proposed method is applied to the 2024 Open Unemployment Rate data covering districts and cities in West Java. The optimal model is obtained at the oscillation combination of [4, 4, 4, 2] with a ridge parameter of 0.0336, accompanied by a coefficient determination of 91.1%, indicating that the proposed ridge-Fourier estimator provides more stable estimation and improved predictive performance under multicollinearity conditions.

Poverty Modeling in East Nusa Tenggara Using Fourier Nonparametric Regression with Cosine–Sine Comparison and Hypothesis Testing Narita Yuri Adrianingsih; Andrea Tri Rian Dani; I Nyoman Budiantara; Vita Ratnasari; Yossy Candra; Bintang A. Banewang; Leti S. Gaimau
UNP Journal of Statistics and Data Science Vol. 4 No. 2 (2026): UNP Journal of Statistics and Data Science
Publisher : Departemen Statistika Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/ujsds/vol4-iss2/493

Poverty is a complex multidimensional issue and remains a major development challenge in Indonesia, particularly in East Nusa Tenggara (NTT), which consistently records one of the highest poverty rates nationally. Conventional parametric approaches, such as linear regression, are often inadequate to capture the nonlinear and complex relationships between socioeconomic factors and poverty levels. Therefore, this study proposes a nonparametric regression approach based on Fourier series to model poverty in NTT. The novelty of this research lies in the systematic comparison between cosine-based and sine-based Fourier components within a nonparametric regression framework, combined with inferential statistical testing to identify significant determinants of poverty. The study uses cross-sectional data from 22 districts/cities in NTT for the year 2025. Model estimation is conducted using the Ordinary Least Squares (OLS) method, while the optimal oscillation parameter is determined using Generalized Cross-Validation (GCV). Model performance is evaluated using MSE, RMSE, MAPE, and coefficient of determination (R²). The results show that the cosine-based Fourier model with three oscillations outperforms the sine-based model, achieving MSE of 1.903, RMSE of 1.379, MAPE of 5.817%, and R² of 95.146%. Hypothesis testing indicates that all predictor variables significantly influence poverty levels both simultaneously and partially. These findings demonstrate that the Fourier nonparametric regression approach is highly effective in capturing complex and fluctuating poverty patterns, and it provides a more accurate and interpretable model for supporting targeted poverty alleviation policies.

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