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"[Proyek Pengembangan Infrastruktur Sosial Ekonomi Wilayah (PISEW) merupakan salah satu Program Nasional Pemberdayaan Masyarakat (PNPM). Keterlibatan dan interfensi pemangku kepentingan pada setiap tahapan proyek menyebabkan keterlambatan waktu penyelesaian proyek yang mengakibatkan buruknya kinerja waktu proyek. Hal tersebut diakibatkan oleh penyampaian informasi pada setiap tahapan pada setiap pemangku kepentingan yang membutuhkan koordinasi dan metoda yang berbeda sehingga menyita waktu yang cukup banyak. Dalam penelitian ini telah dilakukan identifikasi stakeholder internal dan eksternal, kekuatan dan wewenang masing-masing stakeholder yang paling berpengaruh pada kinerja waktu proyek, yang kemudian dianalisa dengan metoda Structural Equation Modelling (SEM).Hasil yang didapatkan berupa penerapan manajemen stakeholderpada rencana kerja dalam keterlibatan, peran, dan perlakuan kepada para stakeholder untuk mereduksi kemungkinan terjadinya keterlambatan waktu penyelesaian proyek dan meningkatkan kinerja waktu proyek.;The Rural Infrastructure for Social Economic Development (PISEW) is one of National program of community empowerment (PNPM).Stakeholder engagement and intervention in each project step are the reason of the project completion delay causing low projectperformance. This caused by information transfer in each step for each stakeholder needed coordination dan different method. In this thesis, stakeholder identification has been done to conclude who are internal and external stakeholder, what are they roles, interest, and the potential impact to the project with Structural Equation Modelling(SEM) method. Result of the research is the implementation of Stakeholder management in the project’s work plan include: stakeholder engagement, power & interest, and strategies to reduce project completion delay, and the project time performance willincrease., The Rural Infrastructure for Social Economic Development (PISEW) is one of Nationalprogram of community empowerment (PNPM).Stakeholder engagement and interventionin each project step are the reason of the project completion delay causing low projectperformance. This caused by information transfer in each step for each stakeholderneeded coordination dan different method. In this thesis, stakeholderidentification hasbeen done to conclude who are internal and external stakeholder, what are they roles,interest, and the potential impact to the project with Structural Equation Modelling(SEM) method. Result of the research is the implementation ofStakeholder managementin the project’s work plan include: stakeholder engagement, power & interest, andstrategies to reduce project completion delay, and the project time performance willincrease.]"

"This work starts from the empirical observation that all three dimensions, namely time, space, and structural functional forms, are important for an integrative framework of modern empirical analysis in regional science. The work thus aims at combining up-to-date econometric tools from the fields of spatial econometrics, panel time-series analysis and structural simultaneous equation modelling to analyse the different research questions at hand. Most of the topics dealt within this work start from a concrete empirical problem, while problem solving also aims at generating some new knowledge in a methodological way, e.g. by the complementary use of Monte Carlo simulation studies to compare the empirical performance of different estimators for specific data samples. Following a first introductory chapter, the work is structured in three parts addressing major issues in building up a stylized regional economic model such as interregional migration, factor and final demand estimation. All empirical applications use German regional data."

"Penelitian ini bertujuan untuk menemukan faktor-faktor terpenting dalam menciptakan loyalitas konsumen di lingkungan e-commerce dan memberikan usulan pengembangan perusahaan sesuai dengan hasil penelitian. Penelitian ini menggunakan metode Structural Equation Modelling (SEM) untuk menemukan faktor yang signifikan. Hasil penelitian menunjukkan bahwa Customization dan Assurance merupakan dua faktor utama yang mempengaruhi kepuasan pelanggan, kepercayaan, dan loyalitas pelanggan yang diamati melalui purchase intention dan word of mouth.

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This study aims to find most important factors in creating consumer loyalty in e- commerce setting and give suggestions for company development based on the study. This study applies Structural Equation Modelling (SEM) to find factors significancy. The result shows that Customization and Assurance play the biggest role towards customer satisfaction, trust, and loyalty which is observed through purchase intention and word of mouth."

"Penelitian memiliki tujuan untuk menganalisis dampak pandemi COVID-19 pada performa pasar saham di negara ASEAN-5 dengan menggunakan pendekatan Bayesian Structural Time Series. Sampel pada penelitian ini menggunakan data harian indeks pasar saham di negara ASEAN-5 dan sektor yang terdapat di pasar saham tersebut. Penelitian memiliki rentang waktu penelitian antara 1 Oktober 2019 hingga 30 Juni 2020. Hasil penelitian menunjukkan adanya dampak negatif signifikan yang diberiakn pandemi COVID-19 pada performa pasar saham di negara ASEAN-5 maupun sektor yang terdapat di pasar saham tersebut. Selain itu penelitian juga melihat bahwa pemulihan pasar saham hanya terdapat di tiga negara ASEAN-5 yaitu Indonesia, Malaysia, dan Thailand.

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This study aims to analyze the impact of the COVID-19 pandemic on stock market performance in ASEAN-5 countries using the Bayesian Structural Time Series approach. The sample in this study uses daily stock market index data in ASEAN-5 countries and the sectors contained in the stock market. This research has a research time span between October 1, 2019 to June 30, 2020. The results show that there is a significant negative impact that the COVID-19 pandemic has had on stock market performance in ASEAN-5 countries and sectors in the stock market. In addition, the study also saw that stock market recovery was only found in three ASEAN-5 countries, namely Indonesia, Malaysia, and Thailand."

"Isu kesehatan mental di Indonesia masih dikelilingi oleh banyak stigma negatif. Padahal angka prevalensi gangguan mental ringan cukup banyak, terutama pada kelompok usia 18-25 tahun. Oleh karena itu, penulis ingin membuat tayangan terkait kesehatan mental, yang sesuai dengan prefensi khalayak sasaran.

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Mental health issues in Indonesia, up until now, are still being surrounded by some disabling stigma. While the prevalence number of the moderate mental disorder in the age group of 18-25 years old, is quite high. Therefore, the writer wants to create an audiovisual product related to mental health to help tackle this issue, which will also be adjusted to the targeted audience rsquo;s preferences."

"Penelitian ini bertujuan untuk meningkatkan prediksi time series pada jaringan seluler dengan memasukkan variabel lagged ke dalam model peramalan yang berbeda. Penelitian ini berfokus pada memprediksi Total Traffic Volume (Payload) pada jaringan seluler menggunakan model statistik dan machine learning. Teknik feature engineering melibatkan pemilihan variabel lagged, termasuk beban PRB, CQI, dan pengguna RRC, bersama dengan variabel waktu. Model yang memasukkan variabel lagged tambahan, yaitu SARIMAX, LSTM Multi, dan SVR Multi, memiliki performa lebih baik daripada model sebanding univariat tambahan, dengan hasil RMSE yang lebih rendah, MAE yang lebih rendah, dan nilai R-squared yang lebih tinggi. Penelitian ini menekankan pentingnya memasukkan variabel lagged dan menghitung peningkatan akurasi peramalan pada model multi-variabel dibandingkan dengan model variabel tunggal. Temuan ini berkontribusi pada pemahaman tentang peramalan time series pada jaringan seluler dan memberikan panduan untuk prediksi traffic volume yang akurat.

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This research aims to improve time series prediction in cellular networks by incorporating lagged variables into different forecasting models. The study focuses on predicting the Total Traffic Volume (Payload) in cellular networks using statistical and machine learning models. Feature engineering involves selecting lagged variables, including PRB load, CQI, and RRC users, along with time variables. The models incorporating additional lagged variables, namely SARIMAX, LSTM Multi, and SVR Multi, outperform their counterparts without additional variables, resulting in lower RMSE, MAE, and higher R-squared values. The study highlights the importance of incorporating lagged variable and calculates the improvement of forecasting accuracy at multi-variable models compared to single variable models. These findings contribute to the understanding of time series forecasting in cellular networks and provide insights for accurate traffic volume prediction."

"Kebutuhan akan energy listrik di Indonesia semakin tinggi seiring berkembangnya pembangunan peningkatan pembangunan baik di bidang industri, teknologi dan informasi. Pembangunan yang dilakukan dalam jumlah besar membutuhkan Project Management Office PMO untuk meminimalkan kegagalan.Penelitian ini bertujuan untuk mengetahui peran PMO terhadap pengelolaan proyek ketenagalistrikan dengan menggunakan metode Partial Least Square PLS dimana data akan diperoleh melalui hasil survey dan wawancara kepada pakar dan responden. Hasil yang didapat akan menjadi masukan bagi perusahaan yang bergerak dalam bidang pembangunan ketenagalistrikan.

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The need for electric energy in Indonesia is getting higher as the development of the construction of an increase both in the construction industry, and information technology. Large scale development requires project management office PMO to minimize failures project management office PMO to minimize failures.

This study aims to determine the role of the PMO on the performance of electrification projects using the Partial Least Square methode where the data will be obtained through surveys and interviews to experts and respondents. The results will be input for companies which engaged in the field of electricity development."