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All Journal Jurnal Ilmu Administrasi Bisnis Jurnal Indonesia : Manajemen Informatika dan Komunikasi
Rhodiyah Rhodiyah
Jurusan Ilmu Administrasi Bisnis
Computer Science & IT Economics, Econometrics & Finance Languange, Linguistic, Communication & Media Library & Information Science

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ANALISIS JUMLAH PRODUKSI OPTIMAL DALAM MEMPERLANCAR PENJUALAN (Studi kasus pada PT. Rumpun Sari Kemuning I, Kabupaten Karanganyar, Jawa Tengah) Eka, Okky Kurniawati; Rhodiyah, Rhodiyah; Suryoko, Sri
Jurnal Ilmu Administrasi Bisnis Volume 2, Nomor 2, Tahun 2013
Publisher : Departemen Administrasi Bisnis, FISIP Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (174.324 KB)

Abstract

Total production of the company is the dominant factor in influencing the sale of goods for the economical production can determine whether the goods sold in the market. Type of research used is descriptive. Analisys of the data used to determine method Economic Production Quantity (EPQ)the production optimal and economical expendirure. The purpose of this study was to determine the general optimal production level, the view of the cost, yield, production and availability of finished products of green tea. In particular, are (1) To determine the quantity of wet production for each production. (2) To determine the amount of the costs incurred in each production.(3) To determine the optimal production quantities according to the company. (4) To determine the optimal production quantities according to the EPQ. The analysis showed that production is determined from production wet dry, wet production quantities can be influenced by several factors such as the condition of shoots in the garden is not good for plant disease, climate and rainfall, and the availability timed. Levels rendement average is 22.40%. Rendement The higher the better, the percentage yield levels generated. Optimal production level achieved Economic Production, the most economical in the year 2011 according to the calculation method of EPQ Optimal month production level achieved by calculation EPQ company that in 2010 April 96.750 Kg at a cost of Rp 148.309.229.  From the analysis of the total costs incurred where companies show a greater value than the sum of the cost of reckoning EPQ. Suggested EPQ method is used, as it will result in optimal production with minimum expenses. The Company takes into account the results of the product with the sale of product inventory that needs can be met.
Analisis Pola Penyakit Kronis pada Lansia Menggunakan K-Means Clustering di Puskesmas Kelurahan Semper Barat Ardini, Dea Zerlinda; Rhodiyah, Rhodiyah
Jurnal Indonesia : Manajemen Informatika dan Komunikasi Vol. 6 No. 3 (2025): September
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM) STMIK Indonesia Banda Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63447/jimik.v6i3.1595

Abstract

Chronic diseases have become a major health problem as well as the leading cause of death worldwide. The main chronic diseases causing death globally are cardiovascular diseases, chronic respiratory diseases, and metabolic diseases such as diabetes (WHO, 2018). Semper Barat Subdistrict is an area with a significant number of elderly residents, with healthcare services centered at the Semper Barat Community Health Center (Puskesmas). However, so far, there has been no study that specifically analyzes the patterns of chronic diseases among the elderly in this area using a data mining approach. This study presents a novelty in the form of a case study on clustering chronic diseases within the community of the subdistrict using data mining with the K-Means algorithm. The results show that this model is capable of providing precise values in clustering chronic diseases. The clustering results can be utilized by the Semper Barat Community Health Center as a basis for decision-making in conducting targeted outreach and treatment, thereby facilitating better access to elderly individuals who already have a history of chronic diseases according to their disease group. The testing results from the previous Cluster Distance Performance showed an evaluation value of 0.579 for two clusters, which was the closest to zero compared to other numbers of clusters. In the context of the K-Means algorithm, values closer to zero indicate that the data within a cluster have greater similarity, and the distance between clusters is sufficiently distinct.
Penerapan Metode Naive Bayes untuk Klasifikasi Produk Kurang Diminati Berdasarkan Data Penjualan di Toko Laris Eksis Rhodiyah, Rhodiyah; Rahmawati, Dwita
Jurnal Indonesia : Manajemen Informatika dan Komunikasi Vol. 6 No. 3 (2025): September
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM) STMIK Indonesia Banda Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63447/jimik.v6i3.1601

Abstract

This study aims to apply the Naïve Bayes algorithm to classify in-demand and less in-demand products at Toko Laris Eksis based on sales data, including attributes such as the number of product page views (view), the number of products added to the cart (cart), and the number of products sold (sales). The dataset consists of 245 products from 516 sales transactions after data cleaning. The results show that, despite the class imbalance, the Naïve Bayes algorithm achieved an accuracy of 97.26%, with 100% precision and 96.8% recall for the Less In-Demand class, and 84.6% precision and 100% recall for the In-Demand class. This model outperforms the majority baseline accuracy of 89%. These findings indicate that the Naïve Bayes method is highly effective in detecting in-demand products, even with imbalanced data. Practically, this model can support decisions related to promotions, bundling, and stock clearance in retail. Future research is recommended to use k-fold stratification for evaluation, test adaptive thresholds, and integrate the model into an interactive visual dashboard.
Co-Authors Ardini, Dea Zerlinda Okky Kurniawati Eka Rahmawati, Dwita Sri Suryoko