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All Journal Martabe : Jurnal Pengabdian Kepada Masyarakat Journal Of Artificial Intelligence And Software Engineering
Febriansyah Febriansyah
Institut Teknologi Pagar Alam
Agriculture, Biological Sciences & Forestry Arts Humanities Computer Science & IT Education Social Sciences

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IDENTIFIKASI FAKTOR RESIKO STUNTING DAN UPAYA PENCEGAHAN DENGAN INTERVENSI SECARA KOLABORATIF DI KABUPATEN EMPAT LAWANG Febriansyah Febriansyah; Nely Murniati; Hamzah Hasyim; Fenny Etrawati; Widya Lionita; Rahmatillah Razak; Anggun Budiastuti; Indah Yuliana
Martabe : Jurnal Pengabdian Kepada Masyarakat Vol 6, No 4 (2023): Martabe : Jurnal Pengabdian Kepada Masyarakat
Publisher : Universitas Muhammadiyah Tapanuli Selatan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31604/jpm.v6i4.1510-1511

Abstract

Stunting merupakan proses terlambatnya tumbuh kembang anak karena kekurangan gizi kronik, inveksi penyakit berulang dan stimulasi psikosial pada 1000 Hari Pertama Kehidupan (HPK). Permasalahan Stunting merupakan masalah nasional sesuai dengan Perpres 42/2013 Tentang Gerakan Nasional Percepatan Perbaikan Gizi untuk mencapai generasi emas pada 2045. Berdasasrkan data dari SSGI 2021 angka stunting Indonesia masih cukup tinggi yaitu 24,4 % dan di targetkan 14% pada tahun 2024 dan pada kabupaten Empat Lawang masih sebesar 26% di tahun 2021 dengan jumlah lokasi utama penangan stunting 58 desa sekabupaten Empat lawang pada tahun2022 serta di targetkan sebesar 15% pada tahun 2024. Permasalahan yang muncul ialah kurangnya kesadaran masyrakat dan upaya kerjasama antar elemen di kabupaten Empat Lawang yang menyebabkan keadaan Stunting di Kabpupaten Empat lawang ini masih tinggi.. Metode yang dipakai dalam Pengabdian ini ialah metode penyuluhan dan di lanjutkan dengan Focus Group Discussion (FGD) antar Elemen penggerak penanganan Stunting Empat Lawang. Hasil yang didapatkan melalui kegiatan ini ialah meningkatnya pemahaman tentang pentingnya penangnan stunting bagi elemen penggerak penanganan Stunting di tingkat Kabupaten Empat Lawang, meningkatnya fungsi kordinasi antar elemen.
Classification of Taste Levels in Gerga Oranges Using the K-Cluster Classification Tree (K-CT) Method Asep Sayaputra; Febriansyah Febriansyah; Buhori Muslim
Journal of Artificial Intelligence and Software Engineering Vol 6, No 2 (2026): Juni (OnProgress)
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/jaise.v6i2.9416

Abstract

ABSTRACTTechnological advancements have accelerated the adoption of various machine learning methods to support decision-making processes in the agricultural and horticultural sectors. One of the persistent challenges in fruit quality assessment is the identification of taste levels, which is commonly performed subjectively based on visual observation and individual experience. Such an approach may lead to inconsistencies in product quality evaluation. Therefore, this study aims to apply the K-Cluster Classification Tree (K-CT) method to classify the taste levels of Gerga oranges based on their physical characteristics. The K-CT method is a hybrid approach that integrates the K-Means Clustering algorithm with a Classification Tree to enhance classification performance while maintaining computational efficiency. The research utilized primary data collected through direct observation of 700 Gerga orange samples obtained from farmers and fruit traders in Tanjung Sakti District, Lahat Regency. Each sample was represented by six physical attributes, namely peel color, pore size, thrips presence, fruit shape, peel texture, and fruit diameter, while taste level served as the target variable. The dataset was divided into 80% training data and 20% testing data. The experimental results demonstrated that the K-CT method achieved a classification accuracy of 94.57%, outperforming Classification Tree, Random Forest, and Gradient Boosting models. Furthermore, the proposed method exhibited competitive computational efficiency and successfully identified fruit diameter as the most influential attribute affecting the taste level of Gerga oranges. These findings indicate that the K-CT method has considerable potential to be implemented as an objective, accurate, and efficient decision support system for fruit quality classification.
Co-Authors Anggun Budiastuti Asep Sayaputra Buhori Muslim Fenny Etrawati Hamzah Hasyim Indah Yuliana Nely Murniati Rahmatillah Razak Widya Lionita