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All Journal International Journal of Social Science and Business Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Jurnal Saintekom : Sains, Teknologi, Komputer dan Manajemen
Bahruni Bahruni
AMIK Indonesia
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Social Sciences

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The Role of Information Technology on Employee Performance in Universities at New Normal Life Order After Covid-19 Pandemic Upik Sri Sulistyawati; Bahruni Bahruni
International Journal of Social Science and Business Vol. 5 No. 2 (2021): May
Publisher : Universitas Pendidikan Ganesha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23887/ijssb.v5i3.34584

Abstract

Social restrictions have become a serious problem with regard to employee performance. In order to maximize employee performance, it is necessary to use information technology in the new normal life. The purpose of this study was to determine the effect of the use of information technology (X) on employee performance (Y). The type of research used is explanatory research with a quantitative approach. The sample used in this study were 46 respondents. The data analysis used is descriptive analysis, inferential analysis, and multiple linear regression. The sampling technique used is a saturated sample. The results of this study can be concluded that the independent variables have a significant influence on employee performance simultaneously and partially. The use of IT because it has the largest beta coefficient and t count. From the results of multiple linear regression, it can be concluded that the independent variable has a significant influence on the dependent variable, employee performance, which is 64.7%. While the remaining 35.3% is another variable that can affect employee performance. Other variables that can affect employee performance include employee motivation and ability. Information Technology has had an influence on employee performance at universities in the new normal life order during the Covid-19 period.
Analisis Trend Topik Penelitian pada Web Of Science dan SINTA untuk Penentuan Tema Tugas Akhir Mahasiswa AMIK Indonesia Banda Aceh Bahruni Bahruni; Fathurrahmad Fathurrahmad
Jurnal SAINTEKOM Vol. 10 No. 1 (2020): Maret 2020
Publisher : STMIK Palangka Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (410.261 KB) | DOI: 10.33020/saintekom.v10i1.91

Abstract

Penelitian ini mencoba melakukan penambangan dengan menggunakan teknologi web untuk mengumpulkan data informasi yang berasal dari Web of Science dan SINTA yang dikumpulkan. Metodologi Cross Industry Standard Process for Data Mining (CRISP–DM) digunakan sebagai standard proses data mining sekaligus sebagai metode penelitian. Peneliti mengumpulkan data melalui daftar jurnal Web of Science dan SINTA. Untuk melacak trend topik penelitian, peneliti memilih rentang waktu dari tahun 2018 sampai dengan 2019 dan mengekspor data dari Web of Science Core Collection pada April 2019. Ada 38.162 publikasi yang berhasil diambil di Web-Science-defined kategori Ilmu Komputer dan Sistem Informasi dan 230 diambil dari website SINTA. Tetapi, penulis hanya mengambil 20 Jurnal dengan H-Index Tertinggi di Web of Science Core Collection. Sedangkan pada SINTA, penulis juga mengambil 20 Jurnal dengan rangking SINTA 1 dan 2. penelitian ini menyimpulkan topik penelitian dalam jurnal Web of Science dan dikaitkan dengan dengan tren topik penelitian dan yang muncul terbanyak adalah learning, network, analysis, system, control, data, image, optimization, systems, dan neural. Adapun untuk klasifikasi menggunakan model Naive Bayes, Generalized Linear Model, Logistic Regression, Fast Large Margin, Deep Learning, Decision Tree, Random Forest, Gradient Boosted Trees, dan Support Vector Machine. Berdasarkan hasil akurasi, model Generalized Linear Model dan Decision Tree memiliki akurasi sebesar 94.3%, sedangkan Gradient Boosted Trees memiliki persentase akurasi sebesar 93.8%. Naive Bayes menunjukkan tingkat akurasi sebesar 91.4%, diikuti dengan model Fast Large Margin, Deep Learning, Random Forest, dan Support Vector Machine memiliki akurasi sebesar 91.4%. Nilai dengan akurasi terendah menggunakan model Logistic Regression sebesar 65.2%. Hal ini menunjukan bahwa tingkat akurasi tertinggi yaitu dengan menggunakan model Generalized Linear Model dan Decision Tree sehingga hasilnya dapat memprediksi cukup akurat.
Evaluasi Usability Test e-Repository dengan menggunakan Metode Nielsen’s Attributtes of Usability (NAU) Taufiq Iqbal; Bahruni Bahruni
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 3 No 2 (2019): JULY-DECEMBER 2019
Publisher : KITA Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v3i2.85

Abstract

In meeting good software standards, testing of software quality is required. Usability is an aspect of software The purpose of this study is to obtain the usability test evaluation results on AMIK Indonesia's e-Repository with the efficiency and error factor based on the Nielsen's Attributes of Usability (NAU) questionnaire method, so that later it will be made as a suggestion and recommendation for the development of AMIK Indonesia's e-Repository based on the results The test is to improve the quality of the website in the usability aspect. This research method is divided into 4 stages consisting of activities in it, consisting of; 1) Initiation, 2) Pre-User Testing, 3) Pre-User Testing, and 4) Post User Testing. The sample of users was 22 students consisting of Class 2015, 2016, 2017 and 2018 who were active students of AMIK Indonesia. From the results of the achievement of research conducted that the usability test with Nielsen's Attributes of Usability (NAU) model can be applied in finding the quality level of a website. From the test results, the level of success in the UT-7, UT-8, and UT-10 tests with achievements of less than 80% of respondents failed to answer. For success rates above 80% on testing UT-1, UT-2, UT-3, UT-4, UT-5, UT-6, and UT-9. The results of the analysis carried out very satisfying interpretation of 14, Satisfied 1, Satisfied 2, Not Satisfied 1. As for the interpretation of dissatisfaction with questions with the ER14 code and quite satisfied with the ER12 and ER13 codes which are all three dimensions of error.
Analisis Trend Topik Pengembangan Rekayasa Perangkat Lunak dalam mendukung Strategi Kurikulum Perguruan Tinggi Bahruni Bahruni; Fathurrahmad Fathurrahmad
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 3 No 2 (2019): JULY-DECEMBER 2019
Publisher : KITA Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v3i2.89

Abstract

The development of software becomes important now and almost every point of view of our lives, many trends in various countries of the world in 2018 and will be interesting to follow in the following year for educational software-related developers. This study aims to analyze the relevance of the subject matter to the trend of device development research topics in order to produce sequential research between software development practicum subjects and trending topics in the world. The methodology used is a qualitative descriptive method used in analyzing the compatibility between courses, with trends in computer learning topics at the world level. Data collection is carried out through documents related to the outline categorized into 2 (two) groups. The first group deals with information relating to research trends related to publications in the journal Web of Science, SINTA, and Final Projects (TA) for Students. AMIK Indonesia. Relevance between AMIK Indonesia subject matter material and trends in relevant and supporting research topics for practicum material As a qualification of relevance for the category of high relevance with a value of 75% and above only 4 subjects, 7 moderate categories with a value of 55% to 74%, and 21 subjects with a low level of relevance, the findings that can produce material for the development of course material by supporting lecturers in each subject are specific to trending topics that are irrelevant or not supported by practicum courses that will have a positive influence on improvement quality.
Co-Authors Fathurrahmad Fathurrahmad Sulistyawati, Upik Sri Taufiq Iqbal