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All Journal Jurnal technoscientia Jurnal SOLMA Kilat TERANG : Jurnal Pengabdian Pada Masyarakat Menerangi Negeri Jurnal Ilmu Teknik dan Komputer Jurnal E-Komtek JURNAL TEKNOLOGI TECHNOSCIENTIA

Yessy Asri

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Author-ID : 3884642

Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Earth & Planetary Sciences Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering Other

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KLASIFIKASI PESAN GANGGUAN PELANGGAN MENGGUNAKAN METODE NAIVE BAYES CLASSIFIER Haryono Haryono; Pritasari Palupiningsih; Yessy Asri; Andi Nikma Sri Handayani
KILAT Vol 7 No 2 (2018): KILAT
Publisher : Sekolah Tinggi Teknik - PLN

The application of customer disturbance message classifiers is made because of the process of reporting the interruption by the customer must be done by selection of data disorders by one by the admin to be able to follow-up from the existing customer reports. Naive Bayes is one of machine learning methods that uses probability calculations where the algorithm takes advantage of probability and statistical methods that predict future probabilities based on past experience. The application of the naive bayes classifier method with text mining as the initial data processor of the disorder messaging application can be concluded that this study yields an accuracy of probability values of 95 percent and proves that the Naive Bayes method can be used to help classify interference messages sent by customers.

Sistem Pakar Untuk Mengidentifikasi Penyakit Mata Dengan Metode Certainty Factor Eka Putra; Budi Prayitno; Yessy Asri; Andi Dahroni
KILAT Vol 8 No 1 (2019): KILAT
Publisher : Sekolah Tinggi Teknik - PLN

Eye disease today is no longer a rare disease suffered by humans. Many symptoms encountered makes people become confused if the types of eye diseases from which they suffer. Type of eye disease that often affects people of Indonesia according to the Ministry of Health is conjunctivitis, Pterygium, Cataract and Glaucoma. It's no secret if in a meeting with the ophthalmologist will cost not less. Expert systems are computer-based systems that use knowledge, facts and reasoning techniques in solving problems that normally can only be solved by an expert in the field. Forward chaining inference engine used in this study to chronicling the symptoms are inconclusive, then the certainty factor method so that we can determine what percentage of the disease in the suffering of patients through the results of the count in the method. Application web-based expert system created to provide information to people with eye disease illness is entered in accordance with the symptoms.

Pemanfaatan Web Service Sebagai Integrasi Data Pada Tata Laksana Laboratorium Komputer (Studi Kasus Lab.Komputer Lanjut Informatika STT-PLN) Yessy Asri
KILAT Vol 4 No 2 (2015): KILAT
Publisher : Sekolah Tinggi Teknik - PLN

Web service has an open service for the benefit of data integration and collaboration of information that can be accessed via the internet by various parties using technology owned by each user . Tata Laksana Computer Laboratory is based on client-server application that is implemented in a LAN network. With this application, the assistant and lecturers can convey information related to lab activities for students. The purpose of this paper is to design a mobile-based application program (android) and ASP.NET web service that is used as a link media between android application with a database. So that students can get information whenever they want.

Co-Authors Abdurrasyid Andi Nikma Sri Handayani Azizah Arip Rambe Budi Prayitno Dahroni, Andi Dwina Kuswardani Eka Putra Emillia Emillia Emillia Emillia Haryono Haryono Hendrianto Husada Hengki Sikumbang Herman Bedi Indrianto Joey Andrew Fransisco Sihombing M Yoga Distra Sudirman Meilia Nur Indah Susanti Muhamad Jafar Elly Muhammad Heidyr Hadiningrat Muhammad Jafar Ely Palupiningsih, Pritasari Rahma Farah Ningrum

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