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INDONESIA
Jurnal Manajemen Informatika dan Bisnis Digital
Published by Yayasan Literasi Sains Indonesia
ISSN : -     EISSN : 28303016     DOI : https://doi.org/10.55123/jumintal
Core Subject : Science,
Computer Science & IT
JUMINTAL (Jurnal Manajemen Informatika dan Bisnis Digital) merupakan wadah jurnal ilmiah yang terbuka bagi peneliti, dosen dan mahasiswa yang ingin mempublikasikan hasil dan pengembangan ilmu baik secara konseptual maupun teknis yang berkaitan dengan bidang Manajemen Informatika dan Bisnis Digital. JUMINTAL ini diterbitkan oleh Yayasan Literasi Sains Indonesia dan terbit 2 (dua) kali dalam setahun pada bulan Mei dan November.
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 59 Documents
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Penerapan Sistem Informasi Geografis untuk Optimalisasi Lahan Pertanian Berkelanjutan di Kabupaten Kupang Vito Daniel Boboy; Yampi R Kaesmetan
JUMINTAL: Jurnal Manajemen Informatika dan Bisnis Digital Vol. 4 No. 1 (2025): Mei 2025
Publisher : Yayasan Literasi Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55123/jumintal.v4i1.5004

Abstract

Kupang Regency in East Nusa Tenggara Province has great potential in the agricultural sector, but faces various challenges that can hinder sustainable productivity, such as declining soil quality, land degradation, and changes in rainfall patterns due to the impact of climate change. Therefore, sustainable agricultural land management is very important in maintaining regional food security and increasing agricultural production. This study aims to develop a web-based Geographic Information System (WebGis) that is capable of mapping agricultural land conditions in Kupang Regency. This system is designed to present spatial information on soil fertility levels, the existence of critical land, and the impact of climate variability on agricultural areas. In the process of land analysis and classification, the Self-Organizing Map(SOM) method is used, an unsupervised learning approach that is effective in grouping data based on certain characteristics. The mapping results are then integrated into the WebGis platform so that they can be accessed interactively and easily used by the Department of Agriculture or related policy makers. With this system, it is expected to assist in making more precise, efficient, and sustainable data-based decisions, especially in agricultural land planning and management. Overall, this research is expected to provide a real contribution in efforts to increase the efficiency of land use and encourage environmentally friendly agricultural practices in Kupang Regency.
Pemetaan Penyakit Hewan Ternak di Timor Tengah Selatan Menggunakan GIS dengan Metode K-Means Clustering Rasti Lani; Yampi R Kaesmetan
JUMINTAL: Jurnal Manajemen Informatika dan Bisnis Digital Vol. 4 No. 1 (2025): Mei 2025
Publisher : Yayasan Literasi Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55123/jumintal.v4i1.5005

Abstract

South Central Timor Regency in East Nusa Tenggara Province faces serious challenges in controlling livestock diseases that impact livestock farmers' welfare and food security. rainfall patterns due to climate change impacts. This study aims to develop a WebGis-based Geographic Information System (GIS) to map the distribution of livestock diseases in the region. This system is expected to assist the Animal Husbandry Service in planning efforts to control and prevent diseases more effectively and on target. The method used is K-Means Clustering to group areas based on disease prevalence, disease type, and environmental factors that influence its spread. Accurate spatial data is collected from various sources and integrated into the WebGis platform, resulting in a livestock disease distribution map that can be easily accessed by related parties. The expected results of this study are the availability of fast, accurate, and efficient disease distribution information to support planning for animal disease control and prevention actions. The developed WebGis allows access to real-time and data-based information, thus supporting more strategic decision-making in improving livestock resilience in South Central Timor Regency
E-Governmet : Pilar Transparansi dan Akuntabilitas Pemerintahan Desa (Studi Kasus Desa Baureno Kecamatan Jatirejo Kabupaten Mojokerto) Dian Wijaya
JUMINTAL: Jurnal Manajemen Informatika dan Bisnis Digital Vol. 4 No. 1 (2025): Mei 2025
Publisher : Yayasan Literasi Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55123/jumintal.v4i1.5108

Abstract

In the presence of the Covid-19 pandemic in Indonesia, many aspects have changed, especially the government aspect. The government is required to issue the latest policies regarding the handling of the Covid-19 pandemic itself. In the village ministry, the village ministry issued the latest policy, namely Permendes No. 6 of 2024 which was not followed up by the village government, in this case the Baureno village government issued several policies. The benefits of this study itself are as information material to find out and analyze the Implementation of Permendes No. 6 of 2024 in the Priority Use of Village Funds in 2024 in Baureno Village, Jatirejo District, Mojokerto Regency. If we relate it to the theory of policy implementation from Merilee S Grindle, there are six aspects that need to be seen, of the six aspects conveyed, this policy implementation theory is very related.Based on the research results that have been obtained through several informants, the implementation of Permendes No. 6 of 2024 in the priority use of village funds in 2024 in Baureno Village with program efforts that can create good conditions. The results of the study prove that the Baureno village community is satisfied with the efforts of the Baureno village government in issuing policies related to Permendes No. 6 of 2024.
Rancang Bangun Sistem Informasi Rekomendasi Produk pada Supermarket Menggunakan Content Based Filtering Berbasis Web Muhammad Ridho Fasya; Muhamad Alda; Adnan Buyung Nasution
JUMINTAL: Jurnal Manajemen Informatika dan Bisnis Digital Vol. 4 No. 1 (2025): Mei 2025
Publisher : Yayasan Literasi Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55123/jumintal.v4i1.5114

Abstract

The advancement of information technology drives transformation in the retail sector, including supermarkets. INDO BALI Supermarket in Tanjung Balai Karimun still relies on brochures for product promotion, which limits customer reach. This study aims to design and develop a web-based product recommendation system using the Content Based Filtering method. The system provides personalized recommendations based on product description similarity. Data processing includes tokenization, stopword removal, stemming, text normalization, TF-IDF calculation, and cosine similarity. The system was developed using PHP and MySQL with the waterfall method. Testing shows the system effectively delivers relevant product recommendations based on user preferences and supports improved promotional strategies and customer satisfaction.
Perkembangan Ekosistem Ekonomi Digital di Indonesia : Sebuah Kajian Literatur Diky Budiman; Sri Iswati; Mey Krisselni Sitompul
JUMINTAL: Jurnal Manajemen Informatika dan Bisnis Digital Vol. 4 No. 1 (2025): Mei 2025
Publisher : Yayasan Literasi Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55123/jumintal.v4i1.5130

Abstract

This research aims to examine in depth the concepts, characteristics, and challenges in the development of the digital economy ecosystem through a literature study approach. The digital economic ecosystem is a complex and interconnected network that includes businesses, consumers, technology service providers, and governments, all operating within a rapidly evolving digital environment. This study specifically focuses on four key components: e-commerce, on-demand services, online travel agents, and financial technology (fintech), which represent the most dynamic sectors in the current digital economy. By analyzing a range of academic literature published within the last five years, this research highlights that while digital technology advancement has unlocked significant opportunities for inclusive and sustainable economic growth, it also introduces challenges such as cybersecurity risks, regulatory uncertainties, and widening digital inequality. The findings are expected to contribute to a deeper and more holistic understanding of the formation and sustainability of digital economic ecosystems, particularly in the context of developing economies like Indonesia, where digital transformation is progressing rapidly across various sectors.
Sistem Penjadwalan dan Notifikasi Petugas Ibadah Kelompok Berbasis Web dengan API Pesan Instan Arifin Paulus Tindi; Oktavianus Lumasuge
JUMINTAL: Jurnal Manajemen Informatika dan Bisnis Digital Vol. 4 No. 1 (2025): Mei 2025
Publisher : Yayasan Literasi Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55123/jumintal.v4i1.5177

Abstract

Managing worship service schedules in churches often encounters various challenges, including delayed dissemination of information, lack of coordination, and frequent miscommunication between administrators and service officers. These issues can lead to confusion, unpreparedness, and reduced effectiveness in church services. To address these problems, this research focuses on designing and developing a web-based worship scheduling system integrated with an automatic notification feature using an Instant Messaging API. The system is developed using the Laravel framework and implemented in the congregation of GMIST Imanuel Petta as a case study. Through this system, administrators can easily create, edit, and distribute worship schedules in real-time. Automatic notifications are sent to each assigned officer according to the schedule, significantly reducing the risk of errors or forgetfulness. The system also includes user access management, history logs, and mobile responsiveness to enhance usability. Testing results show that the system functions effectively, supports better coordination among stakeholders, and improves the efficiency and reliability of worship schedule management. Therefore, this system is expected to be a relevant technological solution to support more modern, structured, and effective church activity management.
Metode Support Vector Machine (SVM) dan Lexicon-Based dalam Analisis Sentiment Ulasan Pengguna Aplikasi Wink Syahrudin, Syahrudin; Fenilinas Adi Artanto; Ahmad Rifqi Maulana; Filsafat, Filsafat
JUMINTAL: Jurnal Manajemen Informatika dan Bisnis Digital Vol. 4 No. 1 (2025): Mei 2025
Publisher : Yayasan Literasi Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55123/jumintal.v4i1.5236

Abstract

Sentiment Sentiment Analysis is an important method in understanding user opinions of an application. This study aims to analyze the sentiment of users of the Wink application on the Google Play Store, which is a popular application that uses Artificial Intelligence (AI) in photo and video editing that has many templates and is easy to use. Sentiment analysis was carried out using the Lexicon-Based approach and the Support Vector Machine (SVM) classification algorithm. Data was taken from reviews on the Google Play Store Wink Application which obtained 1905 review data showing that 78.6% of users gave a rating of 4 to the application, while the Lexicon-Based approach identified 69.5% of reviews with positive sentiment values ​​with many words that appear are "good", "very" and "very" where this is in accordance with the number of good ratings given also providing sentiment reviews that are mostly positive. By using the Support Vector Machine (SVM) classification algorithm, high accuracy results were obtained, namely 95% with a recall value of 1.00 and a precision of 0.93, which shows that the combination of the Lexicon-Based approach and the Support Vector Machine (SVM) algorithm is said to be effective in analyzing sentiment in Wink application reviews.
Digital Marketing Strategy for International Expansion: A Case Study of Doctor Helmet Medan Rahmat Putra Ahmad Hasibuan; Nurfadhilah Ahmad Hasibuan
JUMINTAL: Jurnal Manajemen Informatika dan Bisnis Digital Vol. 4 No. 1 (2025): Mei 2025
Publisher : Yayasan Literasi Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55123/jumintal.v4i1.5306

Abstract

This study aims to analyze the digital marketing strategy employed by Doctor Helmet Medan for expanding its presence in international markets. Using a detailed case study approach, the research examines how the company effectively leverages cultural understanding across various global regions to customize its products and tailor digital marketing campaigns to meet diverse consumer preferences. Data collection methods included observation of digital marketing activities, interviews with key management personnel, and content analysis of social media and e-commerce platforms utilized by Doctor Helmet. The findings highlight that product adaptation aligned with regional cultural preferences, integrated use of social media combined with paid advertising, and optimization of e-commerce platforms are essential factors driving successful penetration into international markets. Additionally, challenges such as intense global competition, varying regulatory environments, and logistical complexities were identified as significant barriers that require continuous strategic adaptation. This study offers valuable practical insights for MSMEs and medium-sized enterprises aiming to design and implement effective digital marketing strategies for sustainable international expansion.
Analisis Pola Pembelian Mobil di Indonesia Menggunakan Metode ID3 Maria Yohana Gabriela Sasi; Yampi R Kaesmetan
JUMINTAL: Jurnal Manajemen Informatika dan Bisnis Digital Vol. 4 No. 1 (2025): Mei 2025
Publisher : Yayasan Literasi Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55123/jumintal.v4i1.5352

Abstract

Indonesia's geographical conditions consisting of islands encourage the need to develop efficient transportation, especially automotive, to improve the country's economy. Cars are seen as safer vehicles than motorbikes, and with the increasing number of automotive companies, competition in the market is getting tighter. Car sales, especially from brands such as Toyota, Honda, and Mitsubishi, have shown rapid growth, with Toyota recording sales growth of 6.5% and Honda increasing by 56% in 2023. This condition requires companies to understand consumer needs and implement the right business strategies. The comfort and quality of the car are the main priorities in choosing a vehicle, although price is also an important consideration. With the growth of marketing through social media, the expected data can be used for further analysis, so that manufacturers can improve the quality of their products. The purpose of using the ID3 Method (Iterative Dichotomiser 3) as an algorithm to explore patterns in car purchasing decisions in Indonesia, given its ability to form decision trees that can reflect alternative choices and decision results. This study aims to analyze car purchase data and provide more insight into consumer preferences in the context of the Indonesian automotive market
Perancangan Aplikasi Mobile untuk Memprediksi Potensi Kanker Paru-Paru Menggunakan Algoritma K-Nearest Neighbors Florenza Jovana; Sunario, Imelda; Phan, Wincent Coleus; Ade Maulana
JUMINTAL: Jurnal Manajemen Informatika dan Bisnis Digital Vol. 4 No. 1 (2025): Mei 2025
Publisher : Yayasan Literasi Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55123/jumintal.v4i1.5460

Abstract

This study aims to develop a lung cancer risk prediction system using the K-Nearest Neighbors (KNN) algorithm. The dataset consists of 5,000 patient medical records. During preprocessing, several steps were conducted, including handling missing values, data normalization, label encoding, and selecting relevant features for prediction. A total of 61 outlier entries were removed using the Interquartile Range (IQR) method, resulting in 4,939 clean data entries. The model was trained by tuning the k parameter, with the best performance achieved at k = 20, reaching a training accuracy of 89%. Model evaluation on the test data produced an accuracy of 88%, along with high precision, recall, and F1-score for both classes. After training, the model was integrated into a mobile-based application called LungHealth, which allows users to assess their lung cancer risk. This system is expected to support early detection in a fast, accurate, and efficient manner, enabling individuals—especially those with high-risk factors—to take preventive actions promptly and improve awareness of their lung health.

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