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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

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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.
HUBUNGAN SOSIOEKONOMI TERHADAP KEKERASAN DALAM RUMAH TANGGA MELALUI PERNIKAHAN DINI MENGGUNAKAN STRUCTURAL EQUATION MODELLING (SEM) Alfini Yuliyanti; Gerry Sastro
Jurnal Ilmiah Multidisiplin Ilmu Vol. 3 No. 1 (2026): Februari : Jurnal Ilmiah Multidisiplin Ilmu (JIMI)
Publisher : CV. Denasya Smart Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69714/8y30mq10

Abstract

Domestic violence remains a pressing issue, especially for women, and early marriage is often seen as a risk factor that can exacerbate this problem. Early marriages are also more common among communities with low levels of income and education. However, the relationship between these three aspects is rarely explored in a comprehensive way. Using national data and statistical analysis, this study explores how socioeconomic status influences early marriage, and how early marriage contributes to the risk of domestic violence. The results show that regions with lower socioeconomic conditions tend to have higher rates of early marriage. Interestingly, in areas with higher rates of early marriage, reports of domestic violence appear lower—likely due to limited access to reporting mechanisms. The study also finds that socioeconomic status indirectly affects domestic violence through early marriage. The main contribution of this study is to provide empirical evidence based on national data on the role of early marriage as a mediating variable linking socioeconomic status with the dynamics of domestic violence reporting at the regional level. These findings highlight the importance of addressing domestic violence from a broader structural perspective.
Perbandingan metode double exponential smoothing holt dan trend analysis untuk memprediksi penjualan minuman kopi Sinta Nasmia Lizahrotu Alifah; Gerry Sastro
Papanda Journal of Mathematics and Science Research Vol. 5 No. 1 (2026): Volume 5 Nomor 1 Maret 2026
Publisher : Papanda Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56916/pjmsr.v5i1.2998

Abstract

This study aims to identify and compare the most effective forecasting methods in predicting coffee beverage sales in minimarkets using Holt's Double Exponential Smoothing and Trend Analysis methods. The main problem in this study is to determine the forecasting method that can provide the highest level of accuracy to support optimal inventory planning. This research was conducted at a minimarket, namely Indomaret TangCity, as the research location, using secondary data in the form of monthly coffee beverage sales data from January 2022 to June 2025. This research did not involve participants directly but focused on historical sales data as the object of analysis. The research method used was a quantitative approach with a comparative method. The data was analyzed using Holt's Double Exponential Smoothing and Trend Analysis methods, which are suitable for data with trend patterns. The analysis stages included determining the smoothing parameters, calculating the forecasting results, and evaluating the accuracy using the Mean Square Error (MSE), Mean Absolute Deviation (MAD), and Mean Absolute Percentage Error (MAPE) measures. The results show that the Quadratic Trend Analysis method has the best accuracy with an MSE value of 87,337.41, MAD of 224.37, and MAPE of 7.247%. Therefore, this method is used to forecast coffee beverage sales for the period July 2025 to December 2025.
Co-Authors Aden, Aden Alfini Yuliyanti Andi Nur Rahman Anisa Muthia Anita Fujia Apriliani, Dewi Apriliani, Dewi Arofah, Irvana 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 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 Sinta Nasmia Lizahrotu Alifah 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