Development of a tracer study system for graduates of the Integrated Science Department, Universitas Negeri Semarang

Dewi,; Listiaji, Prasetyo; Taufiq, Muchamad; Savitri, Erna Noor; Yanitama, A; Herianti, A P

doi:10.1088/1742-6596/1918/4/042010

Cited by 6 publications

(5 citation statements)

References 3 publications

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“…The number and model of questionnaires, which were significantly different from the previous system, also contributed to the decision to replace the system and enhance the website's appearance. However, the online process for filling out the Tracer Study at Tanjungpura University differs from the system at Semarang State University (UNNES) [19] and the Indonesian Adventist University or Universitas Advent Indonesia (UNAI) [21], which provides graduates with Tracer Study access codes via email. Access to the questionnaire on the Tanjungpura University Tracer Study website does not require graduates to receive a private pin or code beforehand (Figure 4).…”

Section: Jurnal Teknologi Informasi Dan Pendidikanmentioning

confidence: 99%

The Chronology of Development Tracer Study System at Tanjungpura University

Kurniatuhadi,

Hadary,

Sulistyarini

et al. 2024

J. teknol. inf. pendidik.

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The implementation of the Tracer Study at Tanjungpura University has been carried out since 2011 and became an electronic or online system in 2015. The system and design of the online tracer study at Tanjungpura University experienced dynamics that were adjusted to internal and external factors from 2015 to 2022. The influencing factors included changes in the mandate Dikti/Belmawa, resources, and the development of tracer study instruments. These factors cause several obstacles and challenges in creating an efficient Tracer Study system and desain. The purpose of As discussion is to review an overview of the development of the Tracer Study system and design at the Tanjungpura University to create a more efficient Tracer Study system. The research method is carried out by identifying a system model developed from 2015 to 2022 with the Borg and Gall models. The search results show that there have been system and design changes four times from 2015 to 2022. Furthermore, some systems and designs are less efficient in implementing the tracer study from 2015 to 2019 by making an online surveyor input system to reduce the tracer study's essence and function. However, in 2020, the online filling process has all been directed by alumni to fill in directly.

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Section: Jurnal Teknologi Informasi Dan Pendidikanmentioning

confidence: 99%

The Chronology of Development Tracer Study System at Tanjungpura University

Kurniatuhadi,

Hadary,

Sulistyarini

et al. 2024

J. teknol. inf. pendidik.

View full text Add to dashboard Cite

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“…Tracer study merupakan aktivitas penting bagi suatu perguruan tinggi untuk melacak lulusan yang telah dihasilkan dalam hal mengukur hubungan antara tujuan serta proses pendidikan dengan kondisi lulusan saat ini [1], [2]. Hal ini dibuktikan dengan adanya komponen penelusuran lulusan (tracer study) pada penilaian Akreditasi Institusi Perguruan Tinggi (AIPT) [3].…”

Section: Pendahuluanunclassified

Implementasi Data Mining Untuk Menemukan Pola Asosiasi Data Tracer Study Menggunakan Algoritma Apriori

Yani

Nazir

Affandes

et al. 2022

JNKTI

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Abstrak - Mengetahui sebaran alumni dari suatu perguruan tinggi sangat bermanfaat sebagai bahan evaluasi dan tolak ukur aktivitas belajar mengajar di perguruan tinggi terkait. Salah satu cara untuk mendapatkan sebaran alumni adalah dengan melaksanakan tracer study. Pada penelitian ini akan dilakukan tracer study dan selanjutnya data tersebut akan diolah dengan teknik data mining menggunakan algoritma apriori. Hasil data berupa pola hubungan antar atribut akan memudahkan para pemegang keputusan di perguruan tinggi dalam mendapatkan pengetahuan baru tentang lulusan dan dapat digunakaan untuk meningkatkan dan menjamin kualitas pendidikan tinggi tersebut. Tracer study yang dilakukan berfokus pada mahasiswa Teknik Informatika UIN Suska Riau yang lulus pada tahun 2019 dan 2020. Hasil penelitian ini memperoleh pengetahuan baru seperti pekerjaan pertama lulusan dengan masa tunggu kurang dari 6 bulan adalah sebagai pegawai kontrak atau honorer dengan gaji antara 3-5jt dan memiliki ipk antara 3-3,5.Kata kunci: data mining, pola asosiasi, tracer study, apriori Abstract - Knowing the distribution of alumni from a university is very useful as an evaluation and a benchmark for teaching and learning activities in related universities. One way to get the distribution of alumni is to carry out a tracer study. In this research, a tracer study will be carried out and then the data will be processed using the apriori algorithm data mining techniques. The results of the data in the form of relationship patterns between attributes will make it easier for decision makers in higher education to gain new knowledge about graduates and it can be used to improve and guarantee the quality of these higher education institutions. The tracer study carried out was focused on Informatics Engineering students at UIN Suska Riau who graduated in 2019 and 2020. The results of this study are in the form of new knowledge, such as graduates with a waiting period are fewer than 6 months getting their first job as a contract or honorary employees with salaries of between 3-5 million and a GPA between 3-3.5.Keywords: data mining, association rule, tracer study, apriori algorithm

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“…Tracer study merupakan studi yang dilakukan terhadap lulusan perguruan tinggi yang terkait dengan transisi perguruan tinggi dan dunia kerja. Tracer study juga bisa diartikan sebagai salah satu mekanisme yang diterapkan oleh perguruan tinggi untuk melacak lulusan di dalam hal untuk mengukur hubungan antara proses pendidikan dengan kondisi lulusan saat ini [1]. Istilah lain untuk tracer study sering disebut sebagai survei alumni atau survei "tindak lanjut" atau studi terhadap lulusan penyelenggara pendidikan tinggi [2].…”

Section: Pendahuluanunclassified

Penerapan Data Mining Pada Hasil Tracer Study Alumni Untuk Menemukan Pola Asosiasi Dengan Algoritma Fp-Growth

Andika

Nazir

Wulandari

et al. 2022

JNKTI

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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

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Development of a tracer study system for graduates of the Integrated Science Department, Universitas Negeri Semarang

Cited by 6 publications

References 3 publications

The Chronology of Development Tracer Study System at Tanjungpura University

The Chronology of Development Tracer Study System at Tanjungpura University

Implementasi Data Mining Untuk Menemukan Pola Asosiasi Data Tracer Study Menggunakan Algoritma Apriori

Penerapan Data Mining Pada Hasil Tracer Study Alumni Untuk Menemukan Pola Asosiasi Dengan Algoritma Fp-Growth

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