Article Per Year (5 Year)
p-Index From 2021 - 2026
2.636
P-Index
This Author published in this journals
All Journal Jurnal Karya Pendidikan Matematika Jurnal Pendidikan Matematika Raflesia Jurnal Cendekia : Jurnal Pendidikan Matematika Jurnal Saintika Unpam : Jurnal Sains dan Matematika Unpam Jurnal Abdidas Jurnal Statistika dan Matematika (Statmat) Indonesia Berdaya Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistika Jurnal Sains Indonesia PENA ABDIMAS : Jurnal Pengabdian Masyarakat Ceddi Journal of Education International Journal of Mathematics, Statistics, and Computing
Gerry Sastro
Universitas Pamulang
Arts Humanities Chemistry Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Energy Health Professions Mathematics Medicine & Pharmacology Nursing Physics Public Health Social Sciences Veterinary Other

Published : 22 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 22 Documents
Search

 1   2   3 
Penyelesaian Sistem Persamaan Linear Dua Variabel Menggunakan Bahasa Pemograman Python Di SMK Letris Indonesia Sastro, Gerry; Rahman, Andi Nur; Ilmadi, Ilmadi; Apriliani, Dewi; Nurholisah, Nurholisah; Simarmata, Sania Chelsy; Dina, Stefania Safitri Yulita
PENA ABDIMAS : Jurnal Pengabdian Masyarakat Vol 5 No 2 (2024): Juli 2024
Publisher : LPPM Universitas Pekalongan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31941/abdms.v5i2.4908

Abstract

Proyek pengabdian kepada masyarakat ini bertujuan untuk meningkatkan keterampilan komputasi siswa di SMK Letris Indonesia, Tangerang Selatan-Banten dengan mengajarkan mereka menyelesaikan sistem persamaan linear dua variabel menggunakan bahasa pemrograman Python. Tujuan utamanya adalah mengatasi kesulitan siswa dalam memahami dan menyelesaikan masalah matematika ini secara manual serta memperkenalkan aplikasi praktis pemrograman. Metode pelaksanaan mencakup serangkaian lokakarya dan sesi pelatihan langsung di mana siswa belajar dasar-dasar pemrograman Python dan menerapkannya untuk menyelesaikan persamaan linear. Hasil menunjukkan peningkatan signifikan dalam kemampuan siswa menyelesaikan persamaan tersebut, seperti yang dibuktikan oleh skor pre-test dan post-test mereka. Proyek ini tidak hanya meningkatkan kemampuan matematika mereka tetapi juga membangkitkan minat mereka dalam pemrograman, yang sangat penting untuk prospek karir mereka di masa depan.Kata Kunci : pemrograman Python, persamaan linear, keterampilan komputasi
Clustering of Regencies and Cities in West Java Province Based on Horticultural Indicators Using the K-Means Method Lakui, Rivani; Sastro, Gerry; Setiawan, Tabah Heri
International Journal of Mathematics, Statistics, and Computing Vol. 3 No. 4 (2025): International Journal of Mathematics, Statistics, and Computing
Publisher : Communication In Research And Publications

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46336/ijmsc.v3i4.249

Abstract

National food security largely depends on the capacity of domestic production. However, Indonesia continues to rely on food imports, including horticultural products. West Java Province, as one of the country’s main food-producing regions, possesses diverse geographical conditions that support the cultivation of various commodities and therefore becomes the focus of this study. This research aims to classify the 27 districts and cities of West Java Province based on horticultural indicators in order to identify spatial patterns and development potential. The study employed secondary data from the Central Bureau of Statistics (BPS) of West Java and World Climate for 2023, including horticultural production (ornamental plants, bio-pharmaca, vegetables, and fruits), annual average rainfall, and temperature. The analysis used the K-Means clustering method, with the Silhouette Index as an evaluation measure to determine the optimal number of clusters. Results indicate that three clusters provided the best accuracy. Cluster 1 (e.g., Cianjur and Bandung Regencies) consists of areas with high horticultural production, low temperatures, and moderate rainfall. Cluster 2 (e.g., Bogor and Sukabumi Regencies) represents regions with low production, moderate temperature, and high rainfall. Cluster 3 (e.g., Cirebon and Indramayu Regencies) includes areas with moderate production, high temperature, and low rainfall. The findings provide a foundation for local and national governments to design targeted horticultural development strategies that enhance productivity, improve farmers’ welfare, and support sustainable food security.
Co-Authors Aden Aden Aden Aden Aden Aden Andi Nur Rahman Anisa Muthia Anita Fujia Apriliani, Dewi Apriliani, Dewi Choirul Basir Dede Nurbaiti Dewi Purnama Sari Dhea Rezky Febrianty Dian Sugianti Dina, Stefania Safitri Yulita Dina, Stefania Safitri Yulita Ernima Gulo Fani Oktaviani Fikria Fauziah Fince Rauna Rehi Bota I ilmadi Ilmadi Ilmadi Ilmadi Ilmadi Ilmadi Ilmadi Ilmadi Ilmadi Ilmadi Ilmadi, Ilmadi Ilmadi, Ilmadi Intan Idaman Halawa Irvana Arofah Irvana Arofah Isnurani Isnurani Isnurani Isnurani Kenny Cendana Lakui, Rivani Mitha Hudriyah Mohamad Nuryadi Sirajudin Nina Valentika Nina Valentika Nirmala Sari, Deka Nisa Ariffah Novita Putri Amir Nurholisah, Nurholisah Nurholisah, Nurholisah Nursyirwan , Vivi Iswanti Pandi Zufikar Puji Indah Lestari R. Aditama Rahman, Andi Nur Rahman, Andi Nur Ramzil Huda Zarista Rusdiana, Yulianti Saefullah, Rifki Sella Oktavian Simarmata, Sania Chelsy Simarmata, Sania Chelsy Siti Maesaroh Sri Intani Syafiih, Abdullah Tabah Heri Setiawan Vingky Nurmelani Vivi Vitania N Wijaya, Deni Yana Yana Yana Yana Yulianti Rusdiana Yulianti Rusdiana Yulianti Rusdiana