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All Journal JITEK (Jurnal Ilmiah Teknosains) JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Jusikom : Jurnal Sistem Komputer Musirawas Jurnal Informatika Universitas Pamulang Jurnal Teknologi Informasi MURA EDUMATIC: Jurnal Pendidikan Informatika JUSIM (Jurnal Sistem Informasi Musirawas) Jurnal Ilmiah Betrik : Besemah Teknologi Informasi dan Komputer JATI (Jurnal Mahasiswa Teknik Informatika) Jurnal Pengabdian Dharma Wacana Jurnal Abdimas Bina Bangsa JUSTIN (Jurnal Sistem dan Teknologi Informasi) Ngabdimas : Pengabdian Pada Masyarakat Jurnal Ilmiah Betrik : Besemah Teknologi Informasi dan Komputer
Alfis Arif
Sekolah Tinggi Teknologi Pagar Alam
Agriculture, Biological Sciences & Forestry Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Engineering Languange, Linguistic, Communication & Media Mathematics Mechanical Engineering Medicine & Pharmacology Social Sciences Veterinary Other

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IMPLEMENTASI METODE WEIGHTED AGGREGATED SUM PRODUCT ASSESMENT DALAM MENENTUKAN KEDELAI TERBAIK PRODUKSI TAHU, TEMPE Anggraini, Inda; Arif, Alfis; Ningrum, Ichda Utami
JUSIM (Jurnal Sistem Informasi Musirawas) Vol 9 No 1 (2024): JUSIM : Jurnal Sistem Informasi Musi Rawas JUNI
Publisher : LPPM UNIVERSITAS BINA INSAN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32767/jusim.v9i1.2263

Abstract

This research aims to implement the Weighted Aggregated Sum Product Assessment method in identifying soybeans as raw materials in the production of tofu and tempeh. Tofu and tempeh production often experiences production failures, such as the tofu compaction process being insufficient or the texture being too dense, the tempeh fermentation process being less than optimal and so on. This is influenced by poor soybean raw materials, both in terms of texture and color and the selection of soybeans which is still done directly by looking at the color and brand. Meanwhile, these two things do not necessarily correspond to the right criteria for tofu and tempeh production. In this research, the Weighted Aggregated Sum Product Assessment method was used in making decisions to determine the best soybeans for producing tofu and tempeh based on 4 selection criteria, namely soy color, soy size, soy moisture and soy texture. All these criteria are then processed to obtain the best soybean results that are appropriate for the raw material for making tofu and tempe, namely soybeans from the Ahok supplier with a value of 4.475.
IMPLEMENTASI ALGORITMA K-MEANS CLUSTERING DALAM MENENTUKAN BLOK TANAMAN SAWIT PRODUKTIF PADA PT ARTA PRIGEL Pitaloka Anggriani, Yesi; Arif, Alfis; Febriansyah, Febriansyah
JATI (Jurnal Mahasiswa Teknik Informatika) Vol. 8 No. 2 (2024): JATI Vol. 8 No. 2
Publisher : Institut Teknologi Nasional Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36040/jati.v8i2.9225

Abstract

Pt Arta Prigel merupakan perusahaan perkebunan kelapa sawit yang telah beroperasi secara komersial sejak tahun 1983 terletak di kota Lahat. Dan memiliki 3 divisi dan 51 blok. Akan tetapi blok blok tanaman sawit tersebut tidak ada rekap bloknya sehingga kurangnya analisis terhadap lahan perkebunan yang mengakibatkan turunnya produksi hasil panen dan salah mengambil keputusan. Tujuan penelitian ini untuk mengimplementasikan metode K-Means Clustering dalam menentukan pola hasil produksi sawit yang produktif berdasarkan bloknya di Pt Arta Prigel Lahat. Menggunakan metode pengembangan CRISP-DM dan metode pengujian silhouette coefficient. Setelah dilakukan proses clustering diketahui cluster_0 dengan tingkat produksi cukup produktif berjumlah 38 blok di tahun 2021 sampai 2023, cluster_1 dengan tingkat produksi produktif berjumlah 15 blok di tahun 2021 sampai 2023, dan cluster_2 dengan tingkat tidak produktif berjumlah 47 blok untuk tahun 2021 sampai 2023. Metode pengujian menggunakan silhouette coefficient dengan menghitung hasil silhouette score. Hasil dari pengujian metode silhouette coefficient pada aplikasi Google Colab dengan Bahasa Pemrograman Python untuk menghitung hasil silhouette score terbentuk 3 cluster (K=3) dengan nilai 0.61.
Sistem Cerdas Deteksi Status Gizi Anak melalui Eksplorasi Algoritma C.45 dan Forward Feature Selection Arif, Alfis; Gusmaliza, Debi
Jurnal Pendidikan Informatika (EDUMATIC) Vol 8 No 2 (2024): Edumatic: Jurnal Pendidikan Informatika
Publisher : Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/edumatic.v8i2.28014

Abstract

The problem of high rates of child malnutrition remains in Pagar Alam City. The lack of understanding of nutritional interventions and the limited ability of Posyandu cadres to conduct accurate nutritional assessments are the main factors. This situation makes it difficult for the community to monitor the nutritional status of children and provide appropriate nutritional intake. This research aims to create an intelligent system for detecting children's nutritional status through the exploration of C.45 algorithm and Forward Feature Selection in Pagar Alam City. This system is designed to detect children's nutritional status and provide recommendations for appropriate nutritional intake based on detection results with variables of children's weight and height. The data used amounted to 7519 data obtained from the Pagar Alam City Health Office. The model we use to build this system is waterfall with stages of planning, analysis, design, development, testing and implementation. Then the method we apply to this system is CRISP-DM and the C.45 algorithm and Forward Feature Selection technique. Our results are in the form of an intelligent system for detecting children's nutritional status, with the results of system testing using test data and training data showing 100% accuracy. In addition, black box testing also proves that the system works well as expected.
Co-Authors Desi Puspita Elpita Aisyah Febriansyah Febriansyah Ferry Putrawansyah Fitria Rahmadayanti Gusmaliza, Debi Inda Anggraini Masdalipa, Risnaini Ningrum, Ichda Utami Nurmaleni Okta Lesva Pitaloka Anggriani, Yesi Sasmita Sasmita Yogi Mukti