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All Journal Mimbar Agribisnis: Jurnal Pemikiran Masyarakat Ilmiah Berwawasan Agribisnis ILKOM Jurnal Ilmiah
Ardiansyah, Ikhsan
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Agriculture, Biological Sciences & Forestry Computer Science & IT

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Penerapan Bauran Pemasaran Agrowisata Jeruk Dekopon di Mupu Jeruk Kota Bandung Ardiansyah, Ikhsan; Suminartika, Eti; Wiyono, Sulistyodewi Nur; Kusumo, Rani Andriani Budi
Mimbar Agribisnis : Jurnal Pemikiran Masyarakat Ilmiah Berwawasan Agribisnis Vol 11, No 2 (2025): Juli 2025
Publisher : Universitas Galuh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25157/ma.v11i2.17870

Abstract

Agrotourism is an alternative form of tourism that utilizes Indonesia’s natural wealth, such as agriculture, plantations, livestock, and forestry, as attractions for tourists. The number of visitors to Mupu Jeruk agrotourism has fluctuated, tending to stagnate with an average value of 0.0006%. This indicates the need for an effective marketing strategy, especially through the application of marketing mix models. This study aims to describe the implementation of the 7P marketing mix and to identify the 7P marketing mix variables which need improvement. In this study, the researcher used descriptive analysis with a qualitative approach and a case study method. The result shows that (1) The product strategy includes the availability of an orange-picking attraction for visitors and two additional facilities, namely a restaurant and a café. (2) The cost-based pricing strategy applied is still quite affordable for visitors. (3) The location strategy is good because of strategic location and easy access. (4) Promotional strategies via social media still need to be improved and promotional discounts on tourist prices must be consistently carried out. (5) By having a training process and providing appropriate SOPs to employees, the services and employee skills are rated well by visitors. (6) The service process planning consumer convenience, with various payment methods. (7) Mupu Jeruk supports consumer activities well, as seen from the physical facilities including toilets and mushola, but Mupu Jeruk needs to improve their parking area and also add signs in the entrance. 
Optimizing K-Means Using Greylag Goose Optimization Algorithm for Household Energy Consumption Pattern Segmentation Arini, Florentina Yuni; Heryansyah, Ahmad Rozaq; Dewanti, Rahima Ratna; Saputro, Rizky Aulia Adi; Romadhoni, Awan Saputra; Wibowo, Muhammad Lutfi; Ardiansyah, Ikhsan; Duankhan, Poomin
ILKOM Jurnal Ilmiah Vol 17, No 3 (2025)
Publisher : Prodi Teknik Informatika FIK Universitas Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33096/ilkom.v17i3.2851.302-311

Abstract

Electricity is a crucial resource in everyday life, and rising household energy demand requires smarter monitoring and management approaches. Analyzing consumption data enables the discovery of typical energy usage behaviors that support efficient resource planning. Clustering techniques are widely used to group usage profiles without predefined categories, with K-Means being one of the most popular methods because of its speed and practical implementation. However, this algorithm is highly dependent on the initial centroid selection and may generate inaccurate grouping results if trapped in local optima. To overcome these drawbacks, this research combines K-Means with the Greylag Goose Optimization (GGO) algorithm, a nature-inspired metaheuristic that simulates the adaptive navigation and social coordination of migratory grey geese. By enhancing both exploration and exploitation, GGO improves the accuracy of centroid placement and overall clustering performance. The research utilized Individual Household Electric Power Consumption dataset, which consists of minute-by-minute measurements of several electrical attributes. After preprocessing and exploratory analysis, clustering was executed using three approaches: conventional K-Means, GGO, and a hybrid K-Means–GGO model. Based on the Silhouette Score evaluation, clustering performance improved significantly from 0.6236 with standard K-Means to 0.9675 using the hybrid approach. The resulting segmentation provides deeper insights into household consumption behaviors.
Co-Authors Dewanti, Rahima Ratna Duankhan, Poomin Eti Suminartika Florentina Yuni Arini, Florentina Yuni Heryansyah, Ahmad Rozaq Rani Andriani Budi Kusumo Romadhoni, Awan Saputra Saputro, Rizky Aulia Adi Sulistyodewi Nur Wiyono Wibowo, Muhammad Lutfi