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All Journal Petir Kilat TERANG : Jurnal Pengabdian Pada Masyarakat Menerangi Negeri Jurnal E-Komtek
Rizqia Cahyaningtyas
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Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Energy Mechanical Engineering

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The Classification of Relationship between Alumni Competence and Work Using Decision Tree Method Rizqia Cahyaningtyas; Yasni Djamain Djamain; Nur Andhita Ramadanty
PETIR Vol 14 No 1 (2021): PETIR (Jurnal Pengkajian Dan Penerapan Teknik Informatika)
Publisher : Sekolah Tinggi Teknik - PLN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33322/petir.v14i1.947

Abstract

This study discusses the classification of the relationship between personal competence with work on the tracer study data of the PLN Institute of Technology. The results of the data from the alumni survey will be processed using a decision tree method that aims to provide information related to the relationship between personal competencies which have a very close relationship, close enough and not close to the work that the alumni get and become an evaluation material for the campus in the future. Where the decision tree method is one of the data mining classification methods that provides a tree structure that will serve as a decision tree. The tracer study data used from the graduation years of 2015, 2016, 2017, 2018 and 2019 are processed based on the year. And consists of 13 competency attributes and one competency that is used as a label or target. Based on the application of this method each year of graduation has a different level of accuracy based on the state of each data, for tracer study data 2015 graduation year accuracy of 56.03%, 2016 graduation data accuracy of 56.03%, while for tracer data the 2017 graduation year study was 78.90% accuracy, for the 2018 graduation study tracer data the accuracy was 52.94% and for the 2019 graduation tracer study data the accuracy was 40.12%.
Klasifikasi Kompetensi Alumni Berdasarkan Masa Tunggu Alumni untuk Mendapatkan Pekerjaaan Menggunakan Metode Agoritma C4.5 Rizqia Cahyaningtyas; Luqman Luqman; Yolana Inas H
KILAT Vol 9 No 2 (2020): KILAT
Publisher : Sekolah Tinggi Teknik - PLN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33322/kilat.v9i2.950

Abstract

Tracer Study is a search for information about alumni that aims to identify how much higher education graduates can move in the world of work according to the relevance of their education. In this study, tracer study data were obtained from a questionnaire distributed to alumni. The data consists of data from the last 5 years, namely 2015 to 2019, which is processed to find out how long the alumni have to wait for a job from the time of graduation based on competency. C4.5 algorithm is used to form a decision tree to see which competencies have the most influence on alumni in order to get a job in a short time. The results of the analysis carried out there are several competencies that most influence the waiting period of alumni to get a job, namely disciplinary education, time management, analytical skills and computer skills. The highest accuracy was found in 2016, which was 82.86%.
PELATIHAN MS. Office Word dan Excel BAGI PERANGKAT DESA & MASYARAKAT DESA CIARUTEUN ILIR BOGOR Max Teja Ajie; Efy Yosrita; Darma Rusjdi; Meilia Nur Indah Susanti; Indrianto Indrianto; Rizqia Cahyaningtyas; Dewi Arianti Wulandari; Herman Bedi Agtriadi
Terang Vol 1 No 1 (2018): TERANG : Jurnal Pengabdian Pada Masyarakat Menerangi Negeri
Publisher : Sekolah Tinggi Teknik - PLN

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (448.852 KB) | DOI: 10.33322/terang.v1i1.209

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terlampir
THE The Application of TOPSIS Method and Djikstra Algorithm in The Development of Potential Tourist Attractions on The Jakarta to Dieng Route Wiwit Rifayanto; Luqman; Herman Bedi; Rizqia Cahyaningtyas
Jurnal E-Komtek (Elektro-Komputer-Teknik) Vol 9 No 1 (2025)
Publisher : Politeknik Piksi Ganesha Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37339/e-komtek.v9i1.2289

Abstract

Finding the optimal route for several vehicles in determining destinations according to their travel needs, such as serving customers, finding places for tourism, finding destinations for personal, family, or community touring, or logistical distribution, has become an essential need today. Route selection with considerations of fuel cost savings, tolls, regional levies, dining or rest stops, and fuel refilling stations (gas stations) is also a critical basis for achieving travel objectives. This research was conducted through surveys of alternative routes from Jakarta to Dieng in Central Java, and interviews with motorcycle users for this journey (Motor Touring) conducted by a motorcycle community. The application of the TOPSIS method, which is then compared with the results of the Dijkstra Algorithm in determining a route, can be a solution in route selection, in this case, the route from Jakarta to Dieng (Central Java). Alternative routes with attributes such as route, travel time, road conditions, fuel refilling locations, and rest stops for meals or just drinks become significant factors considered by motorcycle enthusiasts for touring to a region. The selection of the right route recommendation makes this route the primary choice for motor vehicle users, with the busy traffic on this route positively impacting the local residents, who were previously vegetable or fruit farmers, by providing additional income through selling snacks, ready-to-eat meals, coffee, parking, rest areas, toilets, and necessities for the stay in Dieng, such as gloves, hats, and jackets.
Co-Authors Darma Rusjdi Dewi Arianti Wulandari Efy Yosrita Herman Bedi Herman Bedi Agtriadi Indrianto Indrianto luqman Luqman Luqman Max Teja Ajie Meilia Nur Indah Susanti Nur Andhita Ramadanty Wiwit Rifayanto Yasni Djamain Djamain Yolana Inas H