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All Journal Jurnal Teknologi Informasi dan Ilmu Komputer Edukasi: Jurnal Pendidikan INVOTEK: Jurnal Inovasi Vokasional dan Teknologi IJIE (Indonesian Journal of Informatics Education) Seminar Nasional Teknologi Informasi Komunikasi dan Industri Dinamisia: Jurnal Pengabdian Kepada Masyarakat Digital Zone: Jurnal Teknologi Informasi dan Komunikasi JOISIE (Journal Of Information Systems And Informatics Engineering) EDUMATIC: Jurnal Pendidikan Informatika Seminar Nasional Teknologi Informasi Komunikasi dan Administrasi [SEMINASTIKA]
Wilda Susanti
Institut Bisnis Dan Teknologi Pelita Indonesia
Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Mathematics Social Sciences Transportation Other

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Journal : Seminar Nasional Teknologi Informasi Komunikasi dan Industri

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Sistem Pakar Diagnosis Kerusakan Mobil MVP Berbasis Internet Sunarti , ST, M. Kom; Wilda Susanti; Monang Adi Candra
Seminar Nasional Teknologi Informasi Komunikasi dan Industri 2012: SNTIKI 4
Publisher : UIN Sultan Syarif Kasim Riau

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Abstract

Car transport is a very valuable tool for people to travel from one place to another. Frequent carusers difficulties when their car was damaged, because lack of knowledge of car users inanalyzing troubleshooting the car in general and there has not been available a proper system model inproviding solutions to the damage of the car. Expert systems is a solution to help car users in givingknowledge to the car user in analyzing the damage of the car. Method of backward chaining and Methodof depth first search (DFS) is a method used to search the damage to the car.The process of tracing the damage done to the car by using a rule-based. Designing aknowledge base (knowledge base) is done by making a tree consisting of inference components, type ofdamage and damage characteristic that describes the problem until they reached the conclusion andsolutions the car problems these are stored into the Database Management System (DBMS). The next willbe determined the weight of the response of each problem so that can be formulated the value of thepercentage of damage to the car.Expert system is expected to perform toubleshooting process (problem solving) cars and canprovide solutions like an expert and can be accessed via the internet.Keyword : Car, Expert System, Backward Chaining, DFS, Database Management System
Perancangan Sistem Berbasis Pengetahuan Untuk Mendeteksi Kerusakan Notebook Menggunakan Web Wilda Susanti, M.Kom; M. Hasmil Adiya; ST, M.A.B, Okto Fenta Riandi
Seminar Nasional Teknologi Informasi Komunikasi dan Industri 2012: SNTIKI 4
Publisher : UIN Sultan Syarif Kasim Riau

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Abstract

There are many problems can happen to Hardware and Software notebook, those problems canbe detected from various symptoms, however in order to know exact problem types, it needs an expert onnotebook troubleshooting. Meanwhile there are small numbers of notebook troubleshooting experts,especially on remote areas. Therefore it needs a system that has ability of an expert on notebooktroubleshooting, whereby the system has notebook troubleshooting expertise about symptoms andproblems. This thesis designs an Expert System using Web-based application to help users in analyzingthe problem. The system uses Personal Home Page (PHP) as its web application language, and MyStructured Query Language (MySQL) as its Database Management System (DBMS). The benefits of theExpert System to detect notebook problems are easy-to-use and easy-to-access whereby users are ableto access the system using mobile phones that support Internet technology.Keywords: Expert System, Troubleshooting, Notebook, Database Management System.
Implementasi TOPSIS pada Rekomendasi Kopi Hendra Ibaraki; Wilda Susanti; Yermias Duha
Seminar Nasional Teknologi Informasi Komunikasi dan Industri 2022: SNTIKI 14
Publisher : UIN Sultan Syarif Kasim Riau

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Abstract

Kopi memiliki karakteristik rasa kopi yang berbeda-beda dikarenakan varietas dan iklim kopi tersebut tumbuh. Terdapat berbagai macam jenis kopi, di antaranya kopi Gayo, kopi Mandailing, kopi Jawa, kopi Toraja, kopi Lintong, dan  kopi Papua. Sehingga, pemilik UMKM kesulitan memilih jenis kopi yang akan distok dan memberikan rekomendari kepada pecinta kopi. Tujuan penelitian ini adalah membantu para pecinta kopi dalam eksplorasi rasa kopi yang terpersonalisasi berdasarkan kriteria yang ada. Rekomendasi kopi berdasarkan lima kriteria yaitu,  aroma, rasa, kepekatan, kemanisan dan keasaman.  Metode penelitian yang digunakan adalah metode TOPSIS. Metode ini merupakan metode analisis keputusan multikriteria.  Hasil dari penelitian ini adalah rekomendari dari hasil perankingan dari 7 varietas kopi yang terdapat dalam sistem. Hasil perakingan  tertinggi terpilihlah salah satu jenis kopi  yang direkomendasikan. Sehingga sistem yang dibangun dapat memudahkan pecinta kopi dalam memilih kopi sesuai dengan seleranya.
Co-Authors Adiya, M. Hasmil Agus Hermawan Alyauma Hajjah Ambiya Ambiya Ambiyar, Ambiyar Arden Simeru Darmanta Sukrianto David David Desnelita, Yenny Dewi Nasien Dochi Ramadhani Dwi Oktarina Gusrianty Gusrianty Gusrio Tendra Gustientiedina Gustientiedina Gustientiedina Gustientiedina Hendra Ibaraki Irwan Irwan Johan Johan Leonardo Yang Marlim, Yulvia Nora Monang Adi Candra Nizwardi Jalinus Ramalia Noratama Putri Rangga Rahmadian Yuliendi Rangga Rahmadian Yuliendi Rangga Rahmadian Yuliendi Rivaldo Famren Silaen Ronny Addenan Rudi Mulya ST, M.A.B, Okto Fenta Riandi Sunarti , ST, M. Kom Torkis Nasution Wakhinuddin Wakhinuddin Wakhinuddin Wakhinuddin, Wakhinuddin Yandri Armi Yenny Desnelita Yermias Duha Yermias Duha Yuliendi, Rangga Rahmadian