Hasil Pencarian  ::  Simpan CSV :: Kembali

"Universitas Indonesia sebagai salah satu kampus yang menyediakan berbagai macam moda transportasi bagi pengunjug kampus, salah satunya dengan menyediakan sarana transportasi sepeda Melakukan penelitian transportasi sepeda di kampus UI ini diperlukan untuk mengetahui faktor-faktor apa saja yang mempengaruhi keinginan bagi civitas akademika untuk menggunakan moda transportasi sepeda serta ketersediaan infrastruktur transportasi sepeda.. Penelitian ini menggunakan survey pengamatan langsung dan menggunakan kuisioner tertutup yang ditujukan kepada civitas akademika Universitas Indonesia. Menganalisis data dengan metode statistik deskriptif dan statistic non- parametrik, yaitu mengetahui korelasi dan regresi linier. Hasil analisis pada penilaian infrastruktur transportasi sepeda menunjukkan bahwa variabel fasilitas yang paling berpengaruh kuat. Sedangkan bagi keinginan untuk bersepeda, variabel kehandalan merupakan variabel yang paling berpengaruh kuat.. Kata kunci: Infrastruktur, transportasi sepeda, metode statistik deskriptif

---

University of Indonesia as one of the campus that provides a wide variety of modes of transportation for campus visitors, one of them by providing bicycle transportation facilities A bicycle transportation research in UI campus is needed to determine the factors that influence the availability of bicycle transportation infrastructure for the academic community and the desire to use the bicycle transportation modes. This study uses survey and direct observation using the enclosed questionnaire addressed to the academic community of the University Indonesia. Analyzing the data with descriptive statistical and non-parametrical statistic methods , which determine the correlation and linear regression . The results of the analysis on bicycle transportation infrastructure assessment showed that the most influential variable powerful facilities. While the desire for cycling , reliability variable is the variable that most strongly influences. Keywords : Infrastructure,bicycle transportation,descriptive statistics method"

"ABSTRAKPencucian uang merupakan fenomena umum yang terjadi di seluruh dunia. Sektor keuangan seperti lembaga perbankan merupakan titik kontak tingkat pertama dalam pencucian uang. Untuk itu, setiap bank perlu melakukan pemantauan terhadap kegiatan transaksi nasabahnya melalui penyimpanan data arus transaksi. Penerapan teknik lanjutan dari big data analytics sepeti data mining dapat digunakan sebagai teknik untuk mendeteksi indikasi pencucian uang, Pada penelitian ini, penulis menganalisis data transaksi pada sebuah rekening nasabah di Bank menggunakan teknik statistik deskriptif, regresi, dan visualisasi untuk mengetahui pola yang terjadi pada data histori dan mengidentifikasi transaksi anomali. Hasil interpretasi analisis regresi menunjukkan pada saat tertentu, waktu berpengaruh secara signifikan terhadap jumlah transaksi. Hasil penelitian akhirnya menunjukkan adanya penyimpangan pola transaksi yang mengarah pada adanya indikasi pencucian uang dalam rekening nasabah tersebut.

---

ABSTRACT Money laundering is a common phenomenon that occurs all over the world. The financial sector such as banking institutions is the first point of contact in money laundering. Therefore, every bank needs to monitor its customers 39 transaction activities through storage of transaction flow data. Application of advanced techniques of big data analytics such as data mining can be used as a technique to detect money laundering indications. In this study, a set of a customer rsquo s transaction data in a bank is being analysed using descriptive statistics, regression, and visualization techniques to observe the patterns that occur in historical data and to identify anomalous transactions. Regression analysis interpretation showed that time had significant impact on transaction amount. The result of the research finally showed an existence of unusual transaction pattern which led to an indication of money laundering in the customer 39 s account. "

"Keberadaan rumah sakit sebagai bagian dari sistem pelayanan kesehatan dengan nilai strategis Millenium Development Goals, standar kualitas optimum dan cost effective telah menjadi alasan utama diterapkannya TQM di rumah sakit melalui model generik TQM seperti ISO 9001 dan Joint Commission International (JCI) (Munechika, Sano, Jin & Kajihara, 2014; Milner, 2007). Namun demikian, masih banyak pasien yang mengeluhkan pelayanan yang tidak sesuai Standard Operating Procedure (SOP), sarana dan prasarana yang tidak memadai dan biaya yang tinggi (Guspianto, 2015). Hal ini telah membuktikan bahwa penerapan model generik TQM belum efektif dengan mutu pelayanan rumah sakit pemerintah lebih rendah dibandingkan dengan rumah sakit swasta (Guspianto, 2015; Arasli & Ahmadeva, 2004). Milakovich, 1991 dalam Milner 2007 menyatakan bahwa akreditasi seperti JCI mewakili model yang tidak efektif dalam meningkatkan mutu lintas rumah sakit dan telah menciptakan resistensi bahkan oposisi dari staf rumah sakit. Untuk itulah, penelitian ini ditujukan untuk mengembangkan model TQM untuk rumah sakit.Metode yang digunakan adalah Partial Least Square Structural Equation Modeling terhadap persepsi karyawan dan statistik deskriptif terhadap persepsi pasien dan manajemen. Penelitian ini dilakukan di RSPAD Gatot Soebroto dan RSUP Fatmawati di 8 unit pelayanan dengan 16 manajemen, 64 karyawan dan 170 pasien. Hasilnya adalah model TQM untuk rumah sakit yang fit dengan variabel dan indikator yang valid dan reliabel serta Customer Satisfaction dan Result yang baik. Dengan model ini, ditemukan beberapa variabel yang berhubungan (p-value <0.05) dan tidak berhubungan (p-value > 0.05).Hasil penelitian ini menyarankan bahwa variabel yang berhubungan adalah Continuous Improvement terhadap Process Management (r=0.394, p-value=0.000), Organization Behavior and Culture terhadap Process Management (r=0.392, p-value=0.014), Top Management Commitment terhadap Process Management (r=0.303, p-value=0.005), Training and Education terhadapContinuous Improvement (r=0.372, p-value=0.017), Teamwork and Participation terhadap Continuous Improvement (r=0.353, p-value=0.002). Sementara itu, untuk variabel yang tidak berhubungan adalah Information Managementterhadap Continuous Improvement (p-value= 0.076), Customer Focus and Satisfaction terhadap Process Management (p-value= 0.684), Supplier Management terhadap Process Management (p-value=0.287), dan Resource Managementterhadap Process Management (p-value=0.869). Dalam penelitian ini, manajemen rumah sakit direkomendasikan agar menggunakan model TQM untuk Rumah Sakit dalam rangka mendapatkan manfaat berupa kinerja rumah sakit dan kepuasan pasien yang meningkat.

---

The existence of hospitals as part of health service system with Strategic Millenium Development Goals (MDGs), optimal quality standards and cost effectiveness has been the major rationalization of TQM implementation in hospitals by adopting generic TQM model such as ISO 9001 dan Joint Commission International (JCI) (Munechika, Sano, Jin & Kajihara et. al., 2014; Milner, 2007). However, there are still many complaints from patient`s side regarding hospital`s service that is not comply with standard operating procedure (SOP), inadequacy of hospital`s facility and high cost (Guspianto, 2015). These evidences have proven that the implementation of generic TQM model is ineffective with condition that the quality of service from public hospitals are lower than private hospitals (Guspianto, 2015; Arasli & Ahmadeva, 2004). Milakovich, 1991 in Milner 2007 has revealed that hospital accreditation such as JCI has represented ineffective model in increasing hospital-wide service quality and created resistance among hospital`s personnels. Therefore, this research is intended to develop TQM model for hospital.

The research methods that has been deployed are quantitative research using Partial Least Square Structural Equation Modeling for analyzing insights from employee perspective and descriptive statistics for generating insights from both management and patient perspectives. This research has been taken place at Gatot Soebroto Army Central Hospital and Fatmawati General Central Hospital in 8 working units with 16 management team members, 64 personnels, and 170 patients.

The result has revealed that the TQM model for hospital is fit with valid and reliable variables and indicators with good Customer Satisfaction and Result. Furthermore, this model finds that several constructs are related and some are not related. Those related are Continuous Improvement with Process Management (r=0.394, p-value=0.000), Organization Behavior and Culture with Process Management (r=0.392, p-value=0.014), Top Management Commitment with Process Management (r=0.303, p-value=0.005), Training and Education with Continuous Improvement (r=0.372, p-value=0.017), Teamwork and Participation with Continuous Improvement (r=0.353, p-value=0.002). Those not related are Information Management with Continuous Improvement (p-value= 0.076), Customer Focus and Satisfaction with Process Management (p-value= 0.684), Supplier Management with Process Management (p-value=0.287), and Resource Management with Process Management (p-value=0.869). In this research, hospital management has been suggested to implement this TQM model for hospital in order to increase both hospital performance and customer satisfaction."

"ABSTRAKKnowledge sharing merupakan interaksi sosial yang melibatkan pertukaranpengetahuan, pengalaman, dan keterampilan pegawai dalam suatu organisasi.Knowledge sharing capability adalah kemampuan individu untuk berbagipengalaman, keahlian dan pengetahuan dengan karyawan lain dalam organisasi.Kegiatan knowledge sharing di Pusat Komunikasi Kementerian Luar Negeri(Puskom Kemlu) masih belum optimal, sehingga perlu diidentifikasi faktor-faktorapa saja yang mempengaruhi kemampuan berbagi pengetahuan (knowledgesharing capability) pegawai. Penelitian ini bertujuan untuk mengidentifikasifaktor-faktor yang dapat mempengaruhi kemampuan berbagi pengetahuan(knowledge sharing capability) pegawai dalam hal ini Pejabat Komunikasi (PK)di Puskom Kemlu. Metode pengumpulan data adalah pendekatan kuantitatifmenggunakan metode survei dengan menyebarkan kuesioner kepada 180 PK diPusat Komunikasi Kementerian Luar Negeri maupun Perwakilan RI di luarnegeri. Teknik analisis data yang digunakan adalah statistik deskriptif, analisiskorelasi, analisis regresi linier sederhana dan analisis regresi linier berganda.Model penelitian ini mengajukan 13 (tigabelas) faktor yang terbagi kedalam 4dimensi yaitu individu, budaya organisasi, struktur organisasi (dimensi nonteknis)dan teknologi (dimensi teknis). Hasil dari penelitian ini didapatkan 5(lima) faktor yang secara nyata dapat mempengaruhi kemampuan berbagipengetahuan (knowledge sharing capability) PK di Puskom Kemlu. Kelima faktortersebut adalah job satisfaction (dimensi individu), social network (dimensibudaya organisasi), work process (dimensi struktur organisasi), ICT infrastructuredan end user focus (dimensi teknologi). Dari hasil analisis regresi linier bergandadidapatkan nilai koefisien determinasi yang disesuaikan sebesar 0.463 yangmenyatakan bahwa proporsi variasi keseluruhan variabel dependen (knowledgesharing capability) yang dapat dipengaruhi oleh kelima faktor tersebut adalahsebesar 46.3%, sedangkan sisanya 53.7% dipengaruhi oleh variabel lain yangtidak dijelaskan dalam model ini. Hal tersebut menunjukkan bahwa dalam modelregresi ini, kelima faktor yang dihasilkan cukup baik digunakan untukmenjelaskan variabel dependennya.

---

ABSTRACTKnowledge sharing is a social interaction that involves the exchange ofknowledge, experience, and skills of employees in an organization. Knowledgesharing capability is the ability of individuals to share experiences, expertise andknowledge with other employees in the organization. Knowledge sharingactivities in the Communication Center Ministry of Foreign Affairs is still notoptimal, so it is necessary to identify the factors that influence the ability to shareknowledge (knowledge sharing capability) employees. This study aims to identifythe factors that may affect the ability to share knowledge (knowledge sharingcapability) employees in this regard Communications Officials (PK) at the Centrefor Communication Ministry of Foreign Affairs. Data collection method is aquantitative approach using survey method by distributing questionnaires to 180Communications Officer at the Communication Center Ministry of ForeignAffairs and Indonesian Representative abroad. The data analysis technique used isdescriptive statistics, correlation analysis, simple linear regression analysis andmultiple linear regression analysis. The research model proposes 13 (thirteen)factors were divided into four dimensions: individual, organizational culture,organizational structure (non-technical dimensions) and technology (technicaldimensions). The results of this study found five (5) factors which cansignificantly affect the knowledge sharing capability of CommunicationsOfficials at the Communication Centre Ministry of Foreign Affairs. The fifthfactor is job satisfaction (individual dimension), social networks (dimensions oforganizational culture), work process (dimensions of organizational structure),ICT infrastructure and end user focus (technological dimension). From the resultsobtained multiple linear regression analysis adjusted coefficient of determinationvalue of 0.463 which states that the proportion of the overall variation in thedependent variable (knowledge sharing capability) that can be affected by fivefactors amounted to 46.3%, while the remaining 53.7% is influenced by othervariables that are not explained in this model. It shows that in this regressionmodel, five factors produced quite well used to explain the dependent variable."