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All Journal OKTAL : Jurnal Ilmu Komputer dan Sains APPA : Jurnal Pengabdian Kepada Masyarakat
Mahardika Paramarta Laia
Universitas Pamulang
Astronomy Chemistry Computer Science & IT Economics, Econometrics & Finance Education Electrical & Electronics Engineering Law, Crime, Criminology & Criminal Justice Medicine & Pharmacology Social Sciences

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Proses Pengumpulan Data Dan Keakuratan Aplikasi Transfermarkt Sebagai Acuan Dari Harga Transfer Pemain Sepakbola Dunia Mahardika Paramarta Laia; Risman Muhammad Hafidz; Melisa Dwi Hestiani; Ahmad Suhendri; Aries Saifudin
OKTAL : Jurnal Ilmu Komputer dan Sains Vol 2 No 05 (2023): OKTAL : Jurnal Ilmu Komputer Dan Sains
Publisher : CV. Multi Kreasi Media

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Currently, the market price for football players is experiencing an uncorrected price increase, especially for young players because there is no official/standard reference for player prices from FIFA as the highest body that oversees world football, therefore Axel Springer created the Transfermarkt site which has a price reference feature. soccer players, even though this site is not under the auspices of FIFA, many clubs use this site to buy/sell players. the working system of this site is very simple, they let their members discuss / create opinions to assess a player's market based on important data as a benchmark, such as age, number of matches, rating for each match, goals etc. After that, transfermarkt makes the final price value based on discussion from site members. Researchers from the London School of Economics and Political Science state that the football player transfer rumors from transfermarkt are highly accurate. This research aims to determine the impact of team status on the market value of professional soccer players, transfer fees on the market value of professional soccer players and salary costs on the market value of professional soccer players. This research is qualitative research with a total of 105 professional soccer players as respondents. Data obtained from transfermarkt site. The sampling technique used was purposive sampling. The data used is secondary data. The research results show that team status has a positive and significant impact on the market value of professional soccer players, transfer fees have a positive and significant impact on the market value of professional soccer players and salary costs have a positive and significant impact on the market value of professional soccer players.
Pemanfaatan Artificial Intelligence dalam Pengembangan Aplikasi Pembelajaran di Era Digital Mahardika Paramarta Laia; Ismatullah; Mizanul Hakim; Muhammad Haikal Abdussalam; Yudi Candra; Harasta Rahman Tri Putra; Tukiyat; Sajarwo Anggai
APPA : Jurnal Pengabdian Kepada Masyarakat Vol 3 No 4 (2025): APPA : Jurnal Pengabdian kepada Masyarakat
Publisher : Shofanah Media Berkah

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Perkembangan teknologi kecerdasan buatan (Artificial Intelligence/AI) telah membawa transformasi signifikan dalam bidang pendidikan, khususnya dalam pengembangan aplikasi pembelajaran digital. Penelitian ini menganalisis pemanfaatan AI dalam meningkatkan efektivitas pembelajaran melalui personalisasi konten, analitik prediktif, dan umpan balik real-time, dengan validasi melalui studi kasus implementasi di SMA Muhammadiyah 08 Ciputat. Dengan menggunakan metodologi studi literatur dan evaluasi empiris, kami mengidentifikasi tiga tema utama: (1) peluang pedagogis melalui pembelajaran adaptif dan penilaian otomatis, (2) peningkatan engagement siswa hingga 60% melalui chatbot dan tutor virtual, dan (3) tantangan etika terkait privasi data dan bias algoritma. Hasil implementasi praktis menunjukkan bahwa penerapan aplikasi pembelajaran berbasis AI meningkatkan pemahaman siswa sebesar 40-50% pada kelompok pilot, meningkatkan motivasi belajar secara signifikan, dan membantu guru dalam memantau perkembangan belajar siswa secara sistematis. Evaluasi terhadap 20 siswa kelas X menunjukkan peningkatan keaktifan belajar, pemahaman konsep yang lebih baik, dan hasil posttest yang lebih tinggi dibandingkan dengan pembelajaran konvensional. Namun, diperlukan kerangka kerja etika yang kuat, pelatihan guru yang komprehensif, dan pendampingan berkelanjutan untuk memaksimalkan manfaat AI dalam pendidikan digital. Penelitian ini menyimpulkan bahwa AI memiliki potensi besar untuk menjadi katalis transformasi pendidikan di era digital, tetapi dengan tetap mempertahankan peran humanistik pendidik dan komitmen terhadap pembelajaran yang inklusif.
Co-Authors Ahmad Suhendri Anggai, Sajarwo Aries Saifudin Harasta Rahman Tri Putra Ismatullah Melisa Dwi Hestiani Mizanul Hakim Muhammad Haikal Abdussalam Risman Muhammad Hafidz Tukiyat Yudi Candra