Judul: Prediksi Perbaikan Layanan Menggunakan Metode Analisis Bertahan (Survival Analysis) (Studi Kasus PT. Mitra Nasional Kualitas)
Abstrak: Pelanggan adalah aset yang penting dari sebuah perusahaan. Suatu bisnis tidak mungkin bertahan tanpa pelanggan yang puas dan tetap setia. Hal ini yang menyebabkan suatu perusahaan ylu merencanakan dan menggunakan strategi yang jelas untuk menangani pelanggan (Tsiptsis dan Chorianopoulos, 2009), Strategi untuk membangun hubungan dengan pelanggan menggunakan najemen hubungan pelanggan (Customer Relationship Management) atau biasa disebut CRM. stomer Relationship Management (CRM) didefinisikan dalam empat kerangka elemen sederhana: wow, target, sell, service (Rygielski et al., 2002). Perusahaan perlu mengenal pelanggan dengan baik now). Pengetahuan tentang pelanggan digunakan untuk menargetkan pelanggan yang paling enguntungkan (target). CRM membangun cara menawarkan produk ke pelanggan (sell). Selain itu a menahan pelanggan dengan memberikan pelayanan yang baik bagi pelanggan (service). Kerangka terakhir CRM menunjukkan pelayanan merupakan bagian penting untuk membina bungan dengan pelanggan. Pelayanan yang tepat kepada setiap pelanggan dapat meningkatkan kepuasan pelanggan. puasan pelanggan terhadap perusahaan berdasarkan atas evaluasi pelanggan terhadap pelayanan ang telah diberikan oleh perusahaan. Pelanggan yang puas dapat meningkatkan tingkat bertahannya langgan dengan perusahaan atau disebut retensi pelanggan. Retensi pelanggan memiliki dampak ang signifikan bagi perusahaan. Peningkatan retensi dapat meningkatkan nilai perusahaan sebesar 1% (Gupta et al., 2004). Kebutuhan pelanggan dapat berubah-ubah sesuai keadaan pasar yang terus berubah. Layanan yang diberikan perusahaan perlu terus diperbaiki agar dapat sesuai dengan kebutuhan pelanggan. Hal ini menyebabkan perlu dievaluasi pelayanan yang telah dilakukan dengan memprediksi kapan perlu dilakukan perbaikan layanan. Prediksi kapan perusahaan perlu khawatir dan memperbaiki layanan dapat dilakukan dengan metode analisis bertahan (survival analysis). Survival analysis memberitahukan kapan mulai perlu mengkhawatirkan pelanggan melakukan hal yang penting seperti mengakhiri hubungan dengan perusahaaan (Berry dan Linoff, 2004). Tujuan penelitian ini diantaranya menilai variabel layanan yang dianggap penting olch pelanggan. Selain itu, memprediksi perlunya dilakukan perbaikan layanan berdasar komponen Survival analysis yaitu retention curve, hazard curve dan survival curve. Bogor Peningkatan kepuasan pelanggan dapat meningkatkan loyalitas pelanggan dengan perusahaan. Berdasarkan hal tersebut, perusahaan perlu mengetahui variabel-variabel layanan yang diinginkan Och pelanggan. Sampel pelanggan PT. Mitra Nasional Kualitas menilai variabel layanan kehandalan dengan total penilaian 80 sedangkan jaminan mendapat 76,25. Sesuai skala penilaian yang telah Litentukan, kehandalan dan jaminan dinilai sangat penting sehingga pelanggan menginginkan atribut Wanan pada variabel ini dilakukan dengan baik. Agricultura Setiap variabel layanan diwakili oleh beberapa atribut pelayanan. Atribut pelayanan pada ariabel layanan kehandalan yang dianggap sangat penting yaitu ketepatan waktu pengiriman, cepatan tanggapan atas pemesanan, dan kesesuaian jenis produk yang dikirim dengan yang dipesan. ariabel layanan jaminan memiliki atribut pelayanan yang dianggap sangat penting yaitu kualitas orang ketika sampai di tujuan dan kenyamanan bertransaksi…dst
Keyword: Customer Relationship Management, Survival Analysis, Service Variable

Judul: Implementasi Perbaikan Layanan Menggunakan Metode Analisis Bertahan (Survival Analysis) Pada PT Mitra Nasional Kualitas
Abstrak: Keeping customer satisfaction are important thing to maintain customer loyalty by implementing Customer Relationship Management (CRM). CRM is the main objective to improve customer retention through improved customer satisfaction. Provide appropriate services to gain customer satisfaction. Given appropriate services based on customer ratings of the importance of the level of service variables. In addition, service evaluation is done by applying the method of survival analysis, information on the decline gets customer satisfaction based on customer retention. The purpose of this study was to assess the variables that are important to customer service. Then, the implementation needed to build a recovery service is based on the 4P's of marketing aspects of the company. Research at the National Quality Partners, Ltd. Jakarta, show resulting in customers assess the reliability and security attributes of the service is very important variable. Decline in retention rates and survival rates as well as the slope indicates the level of danger that companies need to do a recovery service. recovery services performed by approaching the 4P's of marketing with services variables that are considered important. then be sorted by priority service which should be rectified by the company using the Analysis Hierarchy Process (AHP).
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Judul: Biology and ecology of the buffalo fly, haematobia exigua de meijere (diptera:muscidae)
Abstrak: The life history of the buffalo fly was observed at room temperature of 27°-29.5°C and at a relative humidity of 48-68 percent. The eggs hatched after 17-22 hours, with an average of 18 hours. First instar larvae measured 1.25 + 0.16 mm long and 0.27 + 0.037 mm wide. reach the second larval stage. It took 6-12 hours to the second instar larvae measured 2.676 +0.187 mm long and 0.353 +0.028 mm wide. The second instar took about 12-24 hours to reach the third larval stage. The third instar measured 6.833 + 0.189 mm long and 0.919 + 0.051 mm wide. It took about 2-3 days for the third instar to become pupae. Duration of the pupal stage was about 5-7 days before the adults emerged. Under laboratory condition, the buffalo fly completed its life cycle in 9.5 to 10.5 days, whereas under field condition it took 9-14 days with an average of 10.5 days. The growth ratio which was based on the measurements of the cephalo-pharyngeal skeleton of each instar was 1.797. The preoviposition period was 8-12 days and mating usually occurred on the 6th or 7th day. The longevity of the male was 29 days, whereas it was 32 days in the female. The range of egg production under laboratory condition was between 20-139 per female fly. The belly and hind legs of the carabao were the most preferred habitat either during cloudy and cool dry or shiny and warm day. When the weather was clear and the carabao was in the shade, the flies tended to be more distributed particularly on the shoulder, dewlap, back and horns. The carabaos had relatively fewer Musca sp. and Stomoxys calcitrans than cattle; never the less carabaos had a higher infestation of buffalo fly than cattle. Oviposition occured either during the day or night but the buffalo flies were more active during the night than in the day time. The effect of various lengths of exposure time of manure in relation to the oviposition was profound. observed, the maximum number of the buffalo flies was occurred when the dung was exposed for 30 minutes. With increasing time of exposure the number and variety of insects also increase. It was evident that Sepsidae and psychodidae were the most dominant insects emerging from the dung. The number of buffalo flies also increased with increasing
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