INGKAR JANJI (WANPRESTASI) TERHADAP PERJANJIAN BANTUAN HUKUM (Studi Putusan Nomor 704/Pdt.G/2017/PN.Mdn)
نویسندگان
چکیده
Perjanjian bantuan hukum memuat ketentuan yang mengatur bahwa pemberi kuasa tidak dapat membatalkan, mencabut atau mengakhiri khusus diberikan. kedudukan klausula larangan pencabutan dalam perjanjian adalah para pihak surat dengan alasan apapun juga, kecuali apabila penerima melaksanakan Pembuktian atas perkara wanprestasi tindakan telah diberikan kepada kuasa. Tergugat Hj. Syarifah Hasibuan melakukan ingkar janji (wanprestasi) terhadap Bantuan Hukum dan menghukum tergugat untuk membayar menyerahkan hasil perdamaian sebesar Rp. 15 % dari Rp.7.000.000.000,- (tujuh miliar rupiah) yaitu Rp.1.050.000.000,- (satu lima puluh juta secara tunai. Disarankan agar memenuhi isi pemberian hak kewajiba disepakati, sehingga menimbulkan kerugian pada lain mengakibatkan digugatnya salah satu ke pengadilan.
منابع مشابه
Authors: Ray Chambers* and Hukum Chandra*
An accurate estimate of the uncertainty associated with a parameter estimate is important if we want to avoid misleading inference. The bootstrap technique (Efron, 1979; Efron and Tisbshirani, 1993) is a very general way of measuring the accuracy of estimators, and was originally developed for parameter estimation given independent identically distributed (i.i.d.) data. However, random effects ...
متن کاملDegli Studi Dell ’ Insubria
Acknowledgements I would like to thank Prof. Paolo Massazza, my first algorithm professor, for the supervision of the final drafting of the thesis and his precious suggestions; I also would like to express my gratitude to Prof. Jyrki Katajainen, coau-thor of the two articles presented in the thesis, for what he taught me, his constant encouragements and all the time he dedicated to our collabor...
متن کاملUniversità Degli Studi Di Perugia
A Support Vector Machine (SVM ) is a powerful classifier method, already used in many problems, which can be viewed as a learning problem bringing to a convex optimization. In recent years, a considerable attention has been given on semisupervised learning, differing from traditional supervised learning by making use of unlabeled data. In fact, in many applications, labeling examples may cost l...
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ژورنال
عنوان ژورنال: Jurnal Ilmiah Metadata
سال: 2023
ISSN: ['2745-5262', '2723-7737']
DOI: https://doi.org/10.47652/metadata.v5i2.365