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Classification of Employee Attendance Categories Using the Gradient Boosted Trees Algorithm Safitri, Mutia; Saepudin, Sudin; Irawan, Carti; Mupaat
Indonesian Journal of Data and Science Vol. 6 No. 3 (2025): Indonesian Journal of Data and Science
Publisher : yocto brain

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56705/ijodas.v6i3.301

Abstract

Employee attendance is a crucial factor in human resource management as it affects productivity and operational efficiency. However, the recording and analysis of employee attendance often encounter challenges, particularly in terms of the accuracy and effectiveness of the systems used. This study aims to develop an employee attendance classification model using the Gradient Boosted Trees algorithm to improve the accuracy of grouping attendance categories such as Present, Permission, Sick, Leave, and Absent into attendance level categories: High, Medium, and Low. The research method includes collecting employee attendance data throughout the year 2024. The model evaluation is carried out using metrics such as accuracy, precision, recall, and the confusion matrix. The results indicate that the developed model achieves an accuracy of 100.00%, with a mean precision of 100.00% and a mean recall of 100.00%.
TRANSFORMASI LITERASI DIGITAL GURU SEKOLAH DASAR MELALUI PEMANFAATAN TEKNOLOGI PEMBELAJARAN: SEBUAH STUDI LITERATUR Safitri, Mutia; Rahayu, Rusnai; Nurazani, Adilah; Nasution, Khoirunnisah; Darwin, Nurul Asikin
EDUTECH : Jurnal Inovasi Pendidikan Berbantuan Teknologi Vol. 6 No. 1 (2026)
Publisher : Pusat Pengembangan Pendidikan dan Penelitian Indonesia (P4I)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51878/edutech.v6i1.8294

Abstract

The rapid development of technology requires elementary school teachers to possess high levels of digital literacy in order to adapt to the changes in 21st-century learning systems. However, many teachers, particularly at the elementary school level, still face challenges in optimally integrating technology into instructional activities. This study aims to examine various forms of utilizing learning technology to enhance elementary school teachers’ digital literacy and to analyze effective strategies for strengthening these competencies. The method employed is a literature review that examines scientific articles, academic journals, and previous research relevant to digital literacy and educational technology. The findings indicate that the use of digital-based technologies, such as online learning platforms, collaborative applications, and interactive media, can improve elementary school teachers’ technical, cognitive, and social competencies. This study emphasizes the importance of continuous professional development for teachers, institutional support, and educational policies that are responsive to technological advancements in order to support the transformation of teachers’ digital literacy. ABSTRAK Perkembangan teknologi yang semakin pesat menuntut guru sekolah dasar untuk memiliki kemampuan literasi digital yang tinggi agar mampu menyesuaikan diri dengan perubahan sistem pembelajaran abad ke-21. Namun, masih banyak guru khususnya guru sekolah dasar yang mengalami kendala dalam mengintegrasikan teknologi ke dalam kegiatan pembelajaran secara optimal. Penelitian ini bertujuan untuk mengkaji berbagai bentuk pemanfaatan teknologi pembelajaran dalam meningkatkan literasi digital guru sekolah dasar serta menganalisis strategi yang efektif untuk memperkuat kompetensi tersebut. Metode yang digunakan adalah studi literatur dengan menelaah berbagai artikel ilmiah, jurnal, dan hasil penelitian sebelumnya yang relevan dengan tema literasi digital dan teknologi pendidikan. Hasil kajian menunjukkan bahwa penggunaan teknologi berbasis digital, seperti platform pembelajaran daring, aplikasi kolaboratif, dan media interaktif, mampu meningkatkan kemampuan guru sekolah dasar dalam aspek teknis, kognitif, dan sosial. Penelitian ini menekankan pentingnya pelatihan berkelanjutan bagi guru, dukungan institusional, serta kebijakan pendidikan yang responsif terhadap perkembangan teknologi agar transformasi literasi digital guru sekolah.
Karakterisasi Morfologi dan Patogenisitas Colletotrichum sp. dan Lasiodiplodia sp. dari Daun Kelengkeng yang Terinfeksi Penyakit Anraknosa dan Bercak Daun di Merangin Hibatullah, Juanita; Safitri, Mutia
Biospecies Vol. 19 No. 1 (2026): Januari 2026
Publisher : Universitas Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22437/biospecies.v19i1.45879

Abstract

Longan Merangin Regency, Jambi Province. However, longan production is frequently constrained by is an economically important fruit crop widely cultivated in Indonesia, particularly in foliar diseases, notably anthracnose and blight, which significantly reduce both yield and fruit quality. This study aimed to isolate and identify the fungal pathogens associated with anthracnose and blight symptoms on longan leaves collected from Pulau Rengas, West Merangin. Symptomatic leaf samples were subjected to fungal isolation, followed by macroscopic and microscopic characterization. Pathogenicity assays were conducted in vitro to confirm the disease-causing potential of the isolates. Two distinct fungal species were identified: Colletotrichum sp., exhibiting gray, cottony colonies with septate hyphae and cylindrical conidia, and Lasiodiplodia sp., characterized by dark gray to black, fluffy colonies and ellipsoid to obovoid conidia. In vitro, inoculation of healthy longan leaves with these isolates resulted in the development of characteristic lesions: brownish-gray spots for Colletotrichum sp. and dark necrotic lesions for Lasiodiplodia sp., confirming their pathogenicity. These findings are consistent with previous reports implicating these genera as causal agents of anthracnose and blight in longan and other tropical crops. This study represents the first report of Lasiodiplodia sp. associated with blight spot disease in longan leaves.