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All Journal Martabe : Jurnal Pengabdian Kepada Masyarakat Jurnal Algoritma
Peter Gelu, Leonard
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Agriculture, Biological Sciences & Forestry Arts Humanities Computer Science & IT Education Social Sciences

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PELATIHAN DIVERSIFIKASI KELAPA MENJADI BRIKET DALAM UPAYA MENINGKATKAN PENDAPATAN KELOMPOK TANI Eduardo Simarmata, Justin; Bukifan, Melkisedik; Peter Gelu, Leonard; Chrisinta, Debora; Sukerti, Ni Wayan; Erlina, Nia; Mardana, Ida Bagus Putu
Martabe : Jurnal Pengabdian Kepada Masyarakat Vol 8, No 3 (2025): MARTABE : JURNAL PENGABDIAN KEPADA MASYARAKAT
Publisher : Universitas Muhammadiyah Tapanuli Selatan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31604/jpm.v8i3.943-950

Abstract

Kegiatan pengabdian ini dilaksanakan untuk meningkatkan kemampuan Kelompok Tani Nifunan di Desa Nian dalam mendiversifikasi limbah tempurung kelapa menjadi briket sebagai produk bernilai tambah. Metode yang digunakan meliputi sosialisasi, sosialisasi, pelatihan teknis, dan workshop pemasaran, dengan partisipasi aktif 21 anggota kelompok tani. Evaluasi dilakukan melalui angket, observasi, dan wawancara, baik selama kegiatan berlangsung maupun pasca kegiatan. Hasil pengabdian menunjukkan peningkatan hardskill peserta sebesar 70%, dengan 85% peserta memahami teknik pembuatan briket setelah pelatihan. Selain itu, 50% peserta mulai memproduksi briket untuk kebutuhan rumah tangga atau pemasaran lokal, yang berpotensi meningkatkan pendapatan ekonomi mereka. Kegiatan ini juga membuka peluang kolaborasi untuk pengembangan lebih lanjut di bidang pemasaran digital dan produksi skala besar.
Implementasi Algoritma Apriori Dalam Menentukan Penyusunan Buku di Perpustakaan Peter Gelu, Leonard; Chrisinta, Debora; Eduardo Simarmata, Justin
Jurnal Algoritma Vol 22 No 2 (2025): Jurnal Algoritma
Publisher : Institut Teknologi Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33364/algoritma/v.22-2.2956

Abstract

University libraries play an important role in supporting the learning and research processes. However, book borrowing transaction data is often not optimally utilized to understand user needs. This study aims to identify book borrowing patterns at the University of Timor Library in order to find associations between book types that can be used for reading recommendations and collection management. The method used is association rule mining with the Apriori algorithm on book borrowing transaction data for the 2023–2024 period. The analysis results show strong association patterns between several book titles, particularly in the fields of finance and taxation, such as “Financial Statement Analysis and Its Application,” “Value Added Tax,” and "Techniques for Drafting Local Regulations: Regarding Local Taxes and Local Levies," which had a support value of 0.011494, confidence of 100%, and lift of 87. Another strong pattern was found in the field of information technology, namely between the books “Data Mining: [For Data Classification and Clustering]” and “A Brief Introduction to Python 3 Programming” with a lift of 58, indicating a correlation between the topics of programming and data analytics. These findings confirm that library users tend to borrow books with related themes, so the results of this study can be used for collection planning, shelf arrangement, and the development of data-based recommendation systems in libraries.
Co-Authors Chrisinta, Debora Erlina, Nia Ida Bagus Putu Mardana Melkisedik Bukifan Ni Wayan Sukerti Simarmata, Justin Eduardo