ANALISIS FAKTOR-FAKTOR YANG MEMPENGARUHI KEPUASAN KONSUMEN DIDALAM PEMBAYARAN PAJAK KENDARAAN BERMOTOR DI KOTA PEMATANG SIANTAR (Studi Kasus Pembayaran Pajak Kendaraan Bemotor di Gerai Samsat Pematang Siantar)

Analisis dan Perancangan Wireless Roaming (Studi Kasus Universitas Baturaja)

Wireless roaming is one way to improve the reliability of a network of hotspots that are still using the topology Basic Service Set (BSS). When the user walks away from one access point (AP) or one AP die then begins to lose the signal, the mobile station (MS) is automatically connected with the AP to another without reconfiguring. Devices that support wireless roaming is the AP TP-Link TL-WR74...

Factors affecting cyanide content in cassava (Manihot esculenta Crantz) [Faktor yang mempengaruhi kandungan sianida dalam ubi kayu (Manihot esculenta Crantz)]

Concern over poisoning as a result of eating cassava roots or shoots has led to these studies to determine factors which lead to high cyanide content in these tissues and how detoxification can be carried out. Plant age or stage of development does not seem to have a clear influence on root or shoot cyanide content. Genetic control on cyanide content seems significant as varieties may be identi...

Exploring Factors Influencing Adherence to Oral Hygiene Care among Periodontal Patients: A Pilot Study (Menyelami Faktor-faktor yang Mempengaruhi Tahap Penjagaan Kebersihan Mulut yang Baik dalam Kalangan Pesakit Periodontal: Suatu

The objective of this study was to investigate in-depth factors influencing adherence to oral hygiene care among periodontal patients. This qualitative research was based on patients undergoing initial phase of periodontal therapy at the Universiti Kebangsaan Malaysia (UKM) Periodontic Clinics. The data collection were obtained using a focus group discussion (FGD) and the session was recorded a...

Università degli Studi di Siena

Università 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...