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All Journal Jurnal Nasional Komputasi dan Teknologi Informasi INFOKUM
Reski Mai Candra
UNIVERSITAS ISLAM NEGERI SULTAN SYARIF KASIM
Aerospace Engineering Automotive Engineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Engineering Neuroscience Transportation

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Penerapan Data Mining Pada Hasil Tracer Study Alumni Untuk Menemukan Pola Asosiasi Dengan Algoritma Fp-Growth Surya Andika; Alwis Nazir; Fitri Wulandari; Muhammad Affandes; Reski Mai Candra; Amany Akhyar
Jurnal Nasional Komputasi dan Teknologi Informasi (JNKTI) Vol 5, No 3 (2022): Juni 2022
Publisher : Program Studi Teknik Informatika, Fakultas Teknik. Universitas Serambi Mekkah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32672/jnkti.v5i3.4407

Abstract

Abstrak - Tracer study adalah studi terhadap lulusan lembaga pendidikan tinggi, yang juga merupakan proses untuk  mendapatkan informasi terkait transformasi alumni dari masa pendidikan ke dunia industri. Hal ini dilakukan untuk menentukan kelayakan pekerjaan lulusan dan juga penilaian retrospektif, seperti apa pelayanan yang diperoleh selama masa studi. Penelitian ini akan melaksanakan  tracer study  pada tingkat program studi di Teknik Informatika di UIN Suska Riau dan kemudian hasil studi lanjutan ini akan diolah untuk mendapatkan pola korelasi atau hubungan yang bermakna. Pengolahan data akan menggunakan teknologi data mining dan algoritma fp-growth.  Berdasarkan hasil analisa pengujian dan interpretasi dari total data bersih 129 alumni teknik informatika UIN Suska Riau yaitu pola yang dihasilkan dari proses mining dengan minimum support 15%  dan minimum confidence 40% adalah sebanyak 608 pola. Peneliti mengambil beberapa pola dengan antecedents berupa ipk, masa tunggu, bidang pekerjaan, gaji,  pekerjaan pertama, jenis kelamin untuk diinterpretasikan.Kata kunci: Data Mining, Tracer study, Fp-growth Abstract - Tracer study is a study of graduates of higher education institutions, which is also a process to obtain information related to the transformation of alumni from their education period to the industrial world. This is done to determine the employability of graduates as well as a retrospective assessment, such as what services were obtained during the study period. This research will carry out a tracer study at the study program level in Informatics Engineering at UIN Suska Riau and then the results of this follow-up study will be processed to obtain a significant correlation pattern or relationship. Data processing will use data mining technology and the fp-growth algorithm. Based on the results of the analysis of testing and interpretation of the total net data of 129 alumni of informatics engineering UIN Suska Riau, the patterns generated from the mining process with a minimum support of 15% and a minimum confidence of 40% are 608 patterns. Researchers took several patterns with antecedents in the form of GPA, waiting period, field of work, salary, first job, gender to be interpreted.Keywords: Data Mining, Tracer study, Fp-growth 
UI/UX Redesign of INHIL Dukcapil Application Using the Design Thinking Method Rosi Yulia; Reski Mai Candra; Muhammad Irsyad; Teddie Darmizal
INFOKUM Vol. 10 No. 5 (2022): December, Computer and Communication
Publisher : Sean Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The population and civil registration office is an agency directly related to the city government that is tasked with providing population registration services and civil registration services. Now technological advances are helping to modernize public services, including population administration services in Riau Province. There are 3 districts that have implemented services using smartphone applications. One of them is Indragiri Hilir Regency with the name Dukcapil Inhil Application. The Dukcapil Inhil application was released to make it easier for people to take care of population administration. However, in its use there are several problems. This research was conducted to develop application recommendations by analyzing and redesigning the UI and UX of the Dukcapil Inhil Application using the Design Thinking method. This method is used to take a solution-based approach that will be used for problem solving, by understanding application users to define existing problems and then make a solution to solve existing problems. Application recommendations are built in the form of prototypes using the Figma application. The prototype built was successfully tested on 10 respondents using System Usability Scale (SUS) testing and the application prototype was rated 78.
Penerapan Data Mining Pada Hasil Tracer Study Alumni Untuk Menemukan Pola Asosiasi Dengan Algoritma Fp-Growth Surya Andika; Alwis Nazir; Fitri Wulandari; Muhammad Affandes; Reski Mai Candra; Amany Akhyar
Jurnal Nasional Komputasi dan Teknologi Informasi (JNKTI) Vol 5, No 3 (2022): Juni 2022
Publisher : Program Studi Teknik Komputer, Fakultas Teknik. Universitas Serambi Mekkah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32672/jnkti.v5i3.4407

Abstract

Abstrak - Tracer study adalah studi terhadap lulusan lembaga pendidikan tinggi, yang juga merupakan proses untuk  mendapatkan informasi terkait transformasi alumni dari masa pendidikan ke dunia industri. Hal ini dilakukan untuk menentukan kelayakan pekerjaan lulusan dan juga penilaian retrospektif, seperti apa pelayanan yang diperoleh selama masa studi. Penelitian ini akan melaksanakan  tracer study  pada tingkat program studi di Teknik Informatika di UIN Suska Riau dan kemudian hasil studi lanjutan ini akan diolah untuk mendapatkan pola korelasi atau hubungan yang bermakna. Pengolahan data akan menggunakan teknologi data mining dan algoritma fp-growth.  Berdasarkan hasil analisa pengujian dan interpretasi dari total data bersih 129 alumni teknik informatika UIN Suska Riau yaitu pola yang dihasilkan dari proses mining dengan minimum support 15%  dan minimum confidence 40% adalah sebanyak 608 pola. Peneliti mengambil beberapa pola dengan antecedents berupa ipk, masa tunggu, bidang pekerjaan, gaji,  pekerjaan pertama, jenis kelamin untuk diinterpretasikan.Kata kunci: Data Mining, Tracer study, Fp-growth Abstract - Tracer study is a study of graduates of higher education institutions, which is also a process to obtain information related to the transformation of alumni from their education period to the industrial world. This is done to determine the employability of graduates as well as a retrospective assessment, such as what services were obtained during the study period. This research will carry out a tracer study at the study program level in Informatics Engineering at UIN Suska Riau and then the results of this follow-up study will be processed to obtain a significant correlation pattern or relationship. Data processing will use data mining technology and the fp-growth algorithm. Based on the results of the analysis of testing and interpretation of the total net data of 129 alumni of informatics engineering UIN Suska Riau, the patterns generated from the mining process with a minimum support of 15% and a minimum confidence of 40% are 608 patterns. Researchers took several patterns with antecedents in the form of GPA, waiting period, field of work, salary, first job, gender to be interpreted.Keywords: Data Mining, Tracer study, Fp-growth 
Co-Authors Alwis Nazir Amany Akhyar Fitri Wulandari Fitri Wulandari Muhammad Affandes Muhammad Irsyad Rosi Yulia Surya Andika Teddie Darmizal