Komunikasi Interpersonal dengan Peningkatan Kinerja Pegawai di PD. BPR Kabupaten Bandung (Studi Korelasional terhadap Pegawai PD. Bank Perkreditan Rakyat Kabupaten Bandung, Jln. Raya Soreang No 26 Desa Pamekaran Kecamatan Soreang Kabupaten Bandung)

Komunikasi interpersonal merupakan komunikasi yang terjadi antara dua orang atau lebih yang dapat diketahui langsung balikannya. Komunikasi interpersonal membentuk hubungan dengan orang lain dan terjadi secara verbal maupun non verbal. Komunikasi interpersonal yang baik jika dimiliki oleh setiap pegawai akan meningkatkan sikap saling menghargai, empati, kerja sama dan kepuasan kerja. Adanya komunikasi interpersonal yang sangat baik dapat meningkatkan kinerja pegawai secara perorangan yang kemudian akan berdampak pada kinerja secara keseluruhan. Tujuan penelitian ini adalah untuk mengetahui hubungan antara (1) komunikasi interpersonal dalam hal bijaksana dan kesopanan dengan kinerja pegawai (2) komunikasi interpersonal dalam hal penerimaan umpan balik dengan kinerja pegawai (3) komunikasi interpersonal dalam hal berbagi informasi dengan kinerja pegawai (4) komunikasi interpersonal dalam hal maskulintas dengan kinerja pegawai. Penelitian ini dilakukan di PD. Bank Perkreditan Rakyat Kabupaten Bandung, Jln. Raya Soreang No. 26 Desa Pamekaran Kecamatan Soreang Kabupaten Bandung. Metode yang digunakan dalam penelitian ini adalah metode asosiatif kuantitatif. Teknik pengumpulan data pada penelitian ini diperoleh dari penyebaran angket dan dokumentasi. Sampel yang menjadi responden pada penelitian pegawai PD. Bank Perkreditan Rakyat Kabupaten Bandung. Jumlah sampel pada penelitian ini sebanyak 44 responden. Hasil penelitian menunjukkan bahwa terdapat hubungan yang signifikan antara komunikasi interpersonal dalam hal bijaksana dan kesopanan dengan kinerja pegawai, terdapat hubungan yang signifikan antara komunikasi interpersonal dalam hal penerimaan umpan balik dengan kinerja pegawai, terdapat hubungan yang signifikan antara hubungan komunikasi interpersonal dalam hal berbagi informasi dengan kinerja pegawai, terdapat hubungan yang signifikan antara komunikasi interpersonal dalam hal maskulinitas dengan kinerja pegawai

ANALISIS KAJIAN OPERASIONAL PT. UNILEVER, TBK

Perusahaan besar seperti Unilever tetap perlu memperhatikan kegiatan operasionalnya yang meliputi pengembangan produk, peramalan kebutuhan, pengelolaan kualitas, perencanaan strategi proses, perencanaan pengembangan lokasi, dan rancangan tata letak. Penelitian ini bertujuan untuk mengetahui dan menganalisis bagaimana pengembangan produk, peramalan kebutuhan, pengelolaan kualitas, perencanaan strategi proses, perencanaan pengembangan strategi lokasi, dan rancangan tata letak dari PT. Unilever, Tbk. Metode penelitian yang digunakan yaitu menggunakan studi pustaka dengan membandingkan antara teori dan fakta yang terjadi di perusahaan. Hasilnya menunjukkan bahwa perusahaan telah melakukan penganekaragaman portofolio merek yang dibagi dalam dua kelompok, yaitu kategori produk keperluan rumah tangga dan perawatan tubuh. Perusahaan menangani keluhan dan pertanyaan konsumen melalui sebuah layanan konsumen khusus yang disebut “Suara Konsumen.” Melalui Suara Konsumen, perusahaan berupaya untuk mempererat hubungan dengan memberikan respon atas aspirasi dan ekspektasi konsumen terhadap produk-produk Unilever sekaligus untuk meningkatkan kepuasan konsumen dalam mengkonsumsi produk-produk Unileve

Misconfiguration Discovery with Principal Component Analysis for Cloud-Native Services

International audienceCloud applications and services have significantly increased the importance of system and service configuration activities. These activities include updating(i) these services, (ii) their dependencies on third parties,(iii) their configurations, (iv) the configuration of the execution environment, (v) network configurations. The high frequency of updates results in significant configuration complexity that can lead to failures or performance drops.To mitigate these risks, service providers extensively rely on testing techniques, such as metamorphic testing, to detect these failures before moving to production. How-ever, the development and maintenance of these tests are costly, especially the oracle, which must determine whether a system’s performance remains within acceptable boundaries. This paper explores the use of a learning method called Principal Component Analysis (PCA) to learn about acceptable performance metrics on cloud-native services and identify a metamorphic relationship between the nominal service behavior and the value of these metrics. We investigate the following research question: Is it possible to combine the metamorphic testing technique with learning methods on service monitoring data to detect error-prone reconfigurations before moving to production? We remove the developers’ burden to define a specific oracle in detecting these configuration issues. For validation, we applied this proposal on a distributed media streaming application whose authentication was managed by an external identity and access management services.This application illustrates both the heterogeneity of the technologies used to build this type of service and its large configuration space. Our proposal demonstrated the ability to identify error-prone reconfigurations using P

Perancangan dan Implementasi Jaringan Komputer Lan dan Wlan dengan Quality of Service

The internet has an important role in supporting activities against the routines of the users, the activities can be carried out in various interests such as entertainment, education, business and so on with the condition that if they have an access to an internet network connection. There is an network at the company PT. Satu Tujuan Kapital with the internet connection access, but the network architecture scheme is inadequate for that scope requirements as evidenced by signal strength testing with a value of -81 dBm and an output QOS parameter Throughput with a index value of 0 which is categorized as bad  according to the TIPHON standard. The purpose of this research is to improve the quality of internet network quality based on QOS by implementing the development of Lan and wlan networks as a method to meet network needs within that scope. The test results are carried out via iperf by connecting a public server with the address iperf.biznetnetworks.com and wireshark as a data packet catcher, an increase is obtained with QOS results in the throughput parameter output which is worth 3 categorized as fair enough and there are also delay, jitter, and packet loss parameters that tends to be perfect and there is an increase in signal strength results with a value of -46 dBm from the client or user side

ChaT: Evaluation of Reconfigurable Distributed Network Systems Using Metamorphic Testing

International audienceDetecting faults in distributed network systems is challenging because of their complexity, but this is required to evaluate and improve their reliability. This paper proposes ChaT, a testing and evaluation methodology under system reconfigurations and perturbations for distributed network systems, to evaluate QoS reliability by discriminating safe and failure-prone behaviors from different testing scenarios. Motivated by metamorphic testing technique that removes the burden of defining software oracles, we propose some metamorphic relationships that correlate system inputs and outputs to find patterns in executions. Classification techniques based on machine learning (principal component analysis and support vector machine) are used to identify system states and validate the proposed metamorphic relationships. These metamorphic relationships are also used to help anomaly detection. We verify this with several anomaly detection techniques (isolation forest, one-class SVM, local outlier factor, and robust covariance) that categorize experiments belonging to either safe or failure-prone states. We apply ChaT to a video streaming application use case. The simulation results show the effectiveness of ChaT to achieve our goals: identifying execution classes and detecting failure-prone experiments based on metamorphic relationships with high level of statistical scores

Misconfiguration Discovery with Principal Component Analysis for Cloud-Native Services

International audienceCloud applications and services have significantly increased the importance of system and service configuration activities. These activities include updating(i) these services, (ii) their dependencies on third parties,(iii) their configurations, (iv) the configuration of the execution environment, (v) network configurations. The high frequency of updates results in significant configuration complexity that can lead to failures or performance drops.To mitigate these risks, service providers extensively rely on testing techniques, such as metamorphic testing, to detect these failures before moving to production. How-ever, the development and maintenance of these tests are costly, especially the oracle, which must determine whether a system’s performance remains within acceptable boundaries. This paper explores the use of a learning method called Principal Component Analysis (PCA) to learn about acceptable performance metrics on cloud-native services and identify a metamorphic relationship between the nominal service behavior and the value of these metrics. We investigate the following research question: Is it possible to combine the metamorphic testing technique with learning methods on service monitoring data to detect error-prone reconfigurations before moving to production? We remove the developers’ burden to define a specific oracle in detecting these configuration issues. For validation, we applied this proposal on a distributed media streaming application whose authentication was managed by an external identity and access management services.This application illustrates both the heterogeneity of the technologies used to build this type of service and its large configuration space. Our proposal demonstrated the ability to identify error-prone reconfigurations using P

ChaT: Evaluation of Reconfigurable Distributed Network Systems Using Metamorphic Testing

International audienceDetecting faults in distributed network systems is challenging because of their complexity, but this is required to evaluate and improve their reliability. This paper proposes ChaT, a testing and evaluation methodology under system reconfigurations and perturbations for distributed network systems, to evaluate QoS reliability by discriminating safe and failure-prone behaviors from different testing scenarios. Motivated by metamorphic testing technique that removes the burden of defining software oracles, we propose some metamorphic relationships that correlate system inputs and outputs to find patterns in executions. Classification techniques based on machine learning (principal component analysis and support vector machine) are used to identify system states and validate the proposed metamorphic relationships. These metamorphic relationships are also used to help anomaly detection. We verify this with several anomaly detection techniques (isolation forest, one-class SVM, local outlier factor, and robust covariance) that categorize experiments belonging to either safe or failure-prone states. We apply ChaT to a video streaming application use case. The simulation results show the effectiveness of ChaT to achieve our goals: identifying execution classes and detecting failure-prone experiments based on metamorphic relationships with high level of statistical scores