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PENGARUH MOTIVASI KERJA DAN KOMPENSASI TERHADAP KINERJA PADA KANTOR DESA PASIRSARI KECAMATAN CIKARANG SELATAN KABUPATEN BEKASI Gunawan, Ahmad; Sucipto, Imam; Suryadi, Suryadi
IKRA-ITH EKONOMIKA Vol 3 No 1 (2020): IKRAITH-EKONOMIKA Vol 3 No 1 Bulan Maret 2020
Publisher : Universitas Persada Indonesia YAI

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (871.242 KB)

Abstract

Tujuan dari penelitian ini adalah untuk mengetahui dan menjelaskan pengaruh motivasi kerjadan kompensasi terhadap kinerja pegawai. Jenis penelitian yang digunakan adalah penelitiankuantitatif, dengan dua variabel independen yang terdiri dari motivasi kerja (X1) dan kompensasi(X2) serta variabel dependen kinerja pegawai (Y). Subyek penelitian ini adalah pegawai di kantordesa Pasir Sari Kecamatan Cikarang Selatan Kabupaten Bekasi. Teknik pengambilan sampelpada penelitian ini menggunakan teknik sampling jenuh atau teknik total sampling, yangberjumlah 68 pegawai. Pengumpulan data menggunakan angket atau quisioner sedangkan teknikanalisis data menggunakan analisis regresi linier berganda dengan pengujian hipotesismenggunakan uji t dan uji f. Hasil penelitian menunjukan bahwa motivasi kerja berpengaruhsignifikan terhadap kinerja pegawai yang ditunjukan dari hasil pengujian secara parsial bahwahasil uji t untuk variabel motivasi kerja (X1) diperoleh hasil t hitung sebesar 2,621 dengansignifikansi 0,011. Sementara itu nilai pada tabel distribusi 5% t tabel sebesar 1,668. Makathitung > t tabel (2,621 > 1,668). Nilai Signifikansi t lebih kecil dari 0,05 (0,011 < 0,05).Kompensasi berpengaruh signifikan terhadap kinerja pegawai yang ditunjukan dari hasilpengujian secara parsial bahwa hasil uji t untuk variabel kompensasi (X2) diperoleh hasil t hitungsebesar 4,218 dengan signifikansi 0,000. Sementara itu nilai pada tabel distribusi 5% t tabelsebesar 1,668. Maka t hitung > t tabel (4,218 > 1,668). Nilai Signifikansi t lebih kecil dari 0,05(0,000 < 0,05). Motivasi kerja dan kompensasi terhadap kinerja pegawai menunjukan adanyapengaruh secara bersama-sama variabel motivasi kerja dan kompensasi terhadap kinerjapegawai, di tunjukan dengan nilai F hitung sebesar 39,638 lebih besar dari f tabel distribusi 5%yaitu 3,13 dan Signifikansi F sebesar (0,000 < 0,05).
Characteristics Of Nata De Guava Peels With Variation Of Concentration Guava (Psidium Guajava) Peels And Time Of Fermentations Gunawan, Ahmad; Karyantina, Merkuria; Mustofa, Akhmad
JITIPARI (Jurnal Ilmiah Teknologi dan Industri Pangan UNISRI) Vol 6, No 2 (2021): JITIPARI
Publisher : Universitas Slamet Riyadi Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33061/jitipari.v6i2.5150

Abstract

Nata is a kind of jelly white or clear chewy jelly, which is generally derived from the fermentation process of coconut water. The fermentation process of nata is assisted by Acetobacter xylinum. These bacteria have chemo-organotrophic properties, which are able to convert the sugar in coconut water into cellulose fiber sheets. Nata is not only made from coconut water. This research uses guava (Psidium guajava) peels extract to replace coconut water. Guava peels contains antioxidant compounds that are much higher than the fruit fraction. This study used factorial RAL, namely the concentration of guava peel extract and the time of the fermentation. The first factor is the ratio of guava peels extract, namely 50 grams / 300 ml, 75 grams / 300 ml and 100 grams / 300 ml. Factor 2 is the time of fermentation, namely 5 days, 10 days and 15 days. Testing for nata de guava peels includes chemical tests (antioxidant activity, total sugar, pH, moisture content, ash and crude fiber content) and organoleptic tests (color and texture). The results of the best treatment formulation of chemical tests on the manufacture of nata de guava peels are the ratio of 100 / 300ml guava extract and 10 days of fermentation, where antioxidant activity is 89.88%, crude fiber is 3.55%, total sugar is 5.636%, ash content is 0.407 %, pH 4 and water content of 82.77%. Organoleptic results were 3.48 texture test and 3.23 color test.
Comparative Analysis of Arima Model and Exponential Smoothing in Predicting Inventory in Automotive Companies Pujiharta, Pujiharta; Darma, Yuki Dwi; Wiyanti, Novita Riska; Gunawan, Ahmad
Budapest International Research and Critics Institute (BIRCI-Journal): Humanities and Social Sciences Vol 5, No 1 (2022): Budapest International Research and Critics Institute February
Publisher : Budapest International Research and Critics University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33258/birci.v5i1.3707

Abstract

Forecasting is an activity to predict future events by using and considering data from the past. Forecasting is an important tool in effective and efficient planning. So that demand forecasting can be predicted and the amount of inventory can be determined in order to anticipate the number of varied and fluctuating demand. In order to obtain good forecast results, a forecasting method is used that can predict seasonal data. This study aims to determine the best forecasting model using ARIMA and exponential smoothing methods and to compare the forecasting results with the two methods in order to obtain the best method. Data on the number of requests for cars PT. Suzuki Indomobil Motor 2017 – 2019 is data that contains seasonal patterns so that ARIMA and Holt-Winters exponential smoothing can be used. Data obtained by means of documentation with secondary data collection and literature study. The results show that PT Suzuki Indomobil Motor is more appropriate to use the Holt-Winters Additive exponential smoothing method because the resulting error rate is smaller.