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Showing 6 articles found for "Swasti"

The Influence of Work Engagement and Work Environment on Employee Performance Through Job Satisfaction at PT. Kiat Ananda Group In Surabaya

Karno, Pertiwi, Tri Kartika, Swastika, Ika Korika
Abstract: This study aims to analyze the effect of work engagement on employee performance, to analyze the effect of work environment on employee performance, to analyze the effect of work engagement on employee performance through… h job satisfaction, and to analyze the effect of work environment on employee performance through job satisfaction. The research method uses a quantitative approach with the population consisting of all employees of PT. Kiat Ananda Group, totaling 80 people. The sample for this study used a census technique, where the entire population was included as the sample. Data processing and analysis were performed using the Partial Least Square (PLS) method with the SmartPLS 3.0 software to test the relationships between variables. The results indicate that work engagement and work environment have a positive effect on employee performance. Moreover, job satisfaction was found to significantly mediate the effects of work engagement and work environment on employee performance. These findings suggest that improving employee performance can be achieved through enhancing work engagement and a conducive work environment, supported by high levels of job satisfaction

Analysis of Lecturer Performance With Job Satisfaction as A Mediation Variable at Nazhatut Thullab Al-Muafa University, Sampang

Maksum, Muhammad Iqbal, Nur, Dhani Ichsanuddin, Swasti, Ika Korika
Abstract: This study aims to analyze the influence of leadership and work motivation on lecturer performance, both directly and indirectly through job satisfaction as a mediating variable at Nazhatut Thullab Al-Muafa University, Sampang.… ampang. This study used a quantitative approach with the SEM-PLS method. The study population was all 66 permanent and non-permanent lecturers, using a census method (total sampling). The primary theory underlying this study is Goal Setting Theory. This study used a quantitative approach with the Structural Equation Modeling-Partial Least Squares (SEM-PLS) method. The results show that leadership can contribute to lecturer performance. Work motivation contributes to lecturer performance. Leadership contributes to lecturer performance through job satisfaction. Similarly, motivation contributes to lecturer performance through job satisfaction. These findings theoretically sharpen and expand the concepts discussed, and practically can serve as guidelines for Nazhatut Thullab Al-Muafa University, Sampang, in improving lecturer performance, evaluating, and driving institutional progress.

The Influence of Competence and Work Experience on The performance of The People's Economy Bank With Democratic Leadership as an Intervening Variable

Yudiarsa, I Nyoman, Yuniningsih, Swasti , Ika Korika
Abstract: This study aims to analyze the influence of leadership and work motivation on lecturer performance, both directly and indirectly through job satisfaction as a mediating variable at Nazhatut Thullab Al-Muafa University, Sampang.… ampang. This study used a quantitative approach with the SEM-PLS method. The study population was all 66 permanent and non-permanent lecturers, using a census method (total sampling). The primary theory underlying this study is Goal Setting Theory. This study used a quantitative approach with the Structural Equation Modeling-Partial Least Squares (SEM-PLS) method. The results show that leadership can contribute to lecturer performance. Work motivation contributes to lecturer performance. Leadership contributes to lecturer performance through job satisfaction. Similarly, motivation contributes to lecturer performance through job satisfaction. These findings theoretically sharpen and expand the concepts discussed, and practically can serve as guidelines for Nazhatut Thullab Al-Muafa University, Sampang, in improving lecturer performance, evaluating, and driving institutional progress.   Kata Kunci:  Leadership, Work Motivation, Job Satisfaction, Lecturer Performance

KLASTERISASI DAERAH PESERTA KB AKTIF DI KABUPATEN ASAHAN MENGGUNAKAN METODE K-MEANS

Munawar, Fajar, Utami, Aftari Swastika Dyah, Manurung, Sari Bunga Tiara
Abstract: Abstract: Active Family Planning (FP) participants are one of the indicators of the success of the FP program. This study aims to cluster the level of activity of active FP participants in Asahan Regency using the K-Means… s method. The data used is data on active FP participants in Asahan Regency in 2021. The results of the study showed that there are three groups of active FP participants based on their level of activity, namely the group with a low level of activity, the group with a medium level of activity, and the group with a high level of activity. The group with a low level of activity consists of 7 districts, namely B.P Mandoge, Pulau Rakyat, Tanjung Balai, Air Batu, Sei Dadap, Pulo Bandring, and Kisaran Barat. The impact of low active FP participants in a district is an increase in the number of unwanted births, an increase in the number of maternal and child deaths, and an increase in population density. The group with a medium level of activity consists of 15 districts, namely Bandar Pulau, Aek Songsongan, Rahuning, Aek Kuasan, Aek Ledong, S. Kepayang, S. Kepayang Barat, S. Kepayang Timur, Teluk Dalam, Buntu Pane, Tinggi Raja, Setia Janji, Meranti, R. Panca Arga, and Silau Laut. The group with a high level of activity consists of 3 districts, namely Simpang Empat, Air Joman, and Kisaran Timur. The impact of the high number of active FP participants in a district is an increase in maternal and child health, an increase in family economy, and an increase in family welfare. The results of this clustering analysis can be used by the National Population and Family Planning Agency (BKKBN) of Asahan Regency to improve public understanding of the importance of birth control. This can be done through socialization throughout the regency, especially in districts where the results of the analysis show that the number of active FP participants is quite large. Keywords: Family Planning, K-Means, Cluster Abstrak: Peserta Keluarga Berencana (KB) aktif merupakan salah satu indikator keberhasilan program KB. Penelitian ini bertujuan untuk melakukan klasterisasi tingkat keaktifan peserta KB aktif di Kabupaten Asahan menggunakan metode K-Means. Data yang digunakan adalah data peserta KB aktif di Kabupaten Asahan tahun 2021. Hasil penelitian menunjukkan bahwa terdapat tiga kelompok peserta KB aktif berdasarkan tingkat keaktifannya, yaitu kelompok dengan tingkat keaktifan rendah, kelompok dengan tingkat keaktifan sedang, dan kelompok dengan tingkat keaktifan tinggi. Kelompok dengan tingkat keaktifan rendah terdiri dari 7 Kecamatan, yaitu B.P Mandoge, Pulau Rakyat, Tanjung Balai, Air Batu, Sei Dadap, Pulo Bandring, dan Kisaran Barat. Dampak dari rendahnya peserta aktif KB di suatu Kecamatan yaitu meningkatnya angka kelahiran tidak diinginkan, meningkatnya angka kematian ibu dan bayi, dan meningkatnya kepadatan penduduk. Kelompok dengan tingkat keaktifan sedang terdiri dari 15 Kecamatan, yaitu Bandar Pulau, Aek Songsongan, Rahuning, Aek Kuasan, Aek Ledong, S. Kepayang, S. Kepayang Barat, S. Kepayang Timur, Teluk Dalam, Buntu Pane, Tinggi Raja, Setia Janji, Meranti, R. Panca Arga, dan Silau Laut. Kelompok dengan tingkat keaktifan tinggi terdiri dari 3 Kecamatan, yaitu Simpang Empat, Air Joman, dan Kisaran Timur. Dampak dari tingginya peserta aktif KB di suatu Kecamatan yaitu meningkatnya kesehatan ibu dan anak, meningkatnya ekonomi keluarga, dan meningkatnya kesejahteraan keluarga. Hasil analisis klasterisasi ini dapat dimanfaatkan oleh Badan Kependudukan dan Keluarga Berencana Nasional (BKKBN) Kabupaten Asahan untuk meningkatkan pemahaman masyarakat tentang pentingnya pengendalian kelahiran. Hal ini dapat dilakukan melalui sosialisasi di seluruh wilayah kabupaten, khususnya di kecamatan-kecamatan yang hasil analisisnya menunjukkan jumlah peserta KB aktif cukup banyak. Kata kunci: Keluarga Berencana, K-Means, Klaster  

Penerapan Metode K-Means Clustering dalam Pengelompokan Data Penjualan Barang Pada PT. Swasti Tunggal Mandiri

Febriyanti, Ade, Bancin, Putri Vina, Amanda, Siska
Abstract: Abstract: The increasingly fierce business competition in this era of globalization requires companies to rearrange business strategies and tactics in order to always survive in business competition. To achieve this, there… re are several things that can be done, namely by improving product quality, adding product types, and reducing company operational costs by  using company data analysis. Data mining is a statistical process that identifies and categorizes data. PT. Swasti is a company engaged in contracting and supplying the engineering needs of palm oil mills. The purpose of this research is to help classify sales data in order to maximize stock management. In this study, the application of clustering using the k-means algorithm was used. The results of the data modeling will group the stock of goods into a number of clusters. The grouping will produce in information about the sale of goods where there are three groups, namely sales that are not selling well, selling well, and selling very well.   Keywords: k-means; data mining; clustering; sales stock.      Abstrak: Persaingan bisnis yang semakin ketat di era globalisasi ini menuntut perusahaan untuk menyusun kembali strategi dan taktik bisnis agar selalu bertahan dalam persaingan bisnis. Untuk mencapai hal tersebut, ada beberapa hal yang bisa dilakukan yaitu dengan meningkatkan kualitas produk, penambahan jenis produk, dan pengurangan biaya operasional perusahaan dengan cara menggunakan analisis data perusahaan. Data mining merupakan proses statistik yang mengidentifikasi dan  mengelompokkan suatu data. PT. Swasti adalah perusahaan yang bergerak di bidang kontraktor dan supplier untuk kebutuhan teknik dari pabrik kelapa sawit. Tujuan diadakan penelitian ini untuk membantu mengelompokkan data penjualan agar dapat memaksimalkan manajemen stock. Pada penelitian ini, digunakan penerapan clustering dengan menggunakan algoritma k-means. Hasil dari pemodelan data tersebut akan mengelompokkan stock barang kedalam sejumlah cluster. Pengelompokkan tersebut akan menghasilkan informasi tentang penjualan barang dimana terdapat tiga cluster yaitu penjualan kurang laris, cukup laris, dan sangat laris.   Kata kunci: k-means; data mining; clustering; stok penjualan.

Penerapan E-Court Dalam Proses Beracara Di Pengadilan Negeri Jakarta Selatan

Pradipa Saraswati Annafi’Ah, Devarra Qeentarizha Prayoga, Randi Arfifi, Indira Swasti Gama Bhakti
Abstract: E-Court merupakan sistem yang digunakan untuk mempermudah pihak-pihak dalam persidangan, mulai dari uang panjar, pembayaran, status perkara hingga pemanggilan persidangan secara elektronik. Meskipun E-Court dapat membantu… u dalam pemantauan status perkara, penggunaannya masih tergolong baru dan dihadapi banyak kekurangan dalam pengimplementasianya kepada masyarakat. Beberapa hambatan termasuk kurangnya pemahaman dan ketidakinginan menggunakan E-Court dibandingkan sistem konvensional. Walaupun dalam praktiknya mungkin masih terdapat kendala dan bug, perbaikan serta peningkatan yang dilakukan pada E-Court dapat menjadi solusi untuk mempermudah proses persidangan bagi para pihak yang terlibat serta instansi seperti pengadilan negeri. Pendidikan dan sosialisasi yang efektif kepada masyarakat juga dianggap krusial dalam menjalankan fungsi E-Court secara optimal. Dalam penelitian ini, metode yang diterapkan adalah metode yuridis normatif, yang mengadopsi pendekatan konseptual dan pendekatan terhadap peraturan perundang-undangan. Pendekatan konseptual digunakan untuk menganalisis secara konseptual landasan teoritis atau konsep-konsep hukum yang mendasari penelitian.