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Penerapan MIT Inventor Dalam Pemasaran Produk Honda Arista Bengkulu Menggunakan Aplikasi Android Khairullah Khairullah; Ujang Juhardi; Indra Yoga Widianto
Jurnal Media Infotama Vol 20 No 2 (2024): Oktober
Publisher : UNIVED Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmi.v20i2.6474

Abstract

The main objective of this thesis is to design an Android application specifically developed for the Honda Arista dealership in Bengkulu, using the MIT App Inventor platform. This application is designed to provide easy access for customers, allowing them to obtain information related to Honda products, after-sales services, and providing facilities for service appointment reservations. To achieve this goal, the research will adopt a development method using code block programming in MIT App Inventor. During the implementation process, the author will focus on an intuitive user interface design, ensuring compatibility with various Android devices, and integrating features that meet the needs of the Honda Arista dealership and its customers. The importance of creating an application that can be easily accessed by users without a conventional programming background is a primary concern. Therefore, this research will prioritize the use of visual programming provided by MIT Inventor, enabling application development without requiring in-depth programming knowledge. The expected outcome of this research is the development of an Android application that can be used by Honda Arista customers in Bengkulu. This application will not only provide ease of access to product information and service appointments but also enable customers to make reservations easily through the platform. In addition to benefiting customers, this application is expected to enhance the quality of dealership services, increase operational efficiency, and create better interaction with consumers. Through the implementation of this Android application, it is hoped that Honda Arista Bengkulu customers will experience more comfortable and efficient interactions. Additionally, the Honda Arista dealership is expected to leverage this technology to enhance brand image, expand market reach, and gain more advantages in an increasingly competitive business environment
Perancangan Sistem Diagnosa Penyakit Ikan Hias Menggunakan Metode Forward Chaining Wahyu Dharma Putra; Pahrizal Pahrizal; Khairullah Khairullah; Yulia Darnita
Jurnal Media Infotama Vol 21 No 1 (2025): April 2025
Publisher : UNIVED Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmi.v21i1.8130

Abstract

The knowledge of farmers about the types of diseases that can attack Koi fish during cultivation is very small. Prediction of disease indications in Koi fish cultivation is an important thing for the success of cultivation. Disease prediction is obtained from facts in the cultivation process. Determining Koi fish disease can be an obstacle when the information known is not accurate. So an application is needed that has knowledge like an expert (specialist doctor). Forward Chaining is a mathematical theory for proof based on the function of belief and reasonable thinking, which is used to combine separate pieces of information (evidence) to calculate the probability of an event. The method used to obtain diagnostic results by sorting between general and specific symptoms. With this application, it is expected to be able to diagnose and provide treatment solutions like those done by experts
Rancang Bangun Sistem Pendukung Keputusan Tanaman Pangan Kelompok Tani Menggunakan Metode Simple Additive Weighting Gilang Pramudia Fabriandi; Anisya Sonita; Khairullah Khairullah; A.R Walad Mahfuzi
Jurnal Media Infotama Vol 21 No 1 (2025): April 2025
Publisher : UNIVED Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmi.v21i1.8201

Abstract

Abstract— Agriculture is a very important sector for the Indonesian economy, where the majority of the population depends on this sector for their livelihood. Farmer groups play a key role in increasing food production and farmer welfare. However, selecting the right type of food crop is often a challenge for farmers because it involves various criteria and factors. Therefore, a decision support system is needed that can help farmer groups in determining optimal food crop choices. This research aims to design and build a decision support system (DSS) for farmer groups using the Simple Additive Weighting (SAW) method. The SAW method was chosen because of its ease in combining various criteria and factors in decision making. It is hoped that the system being built can help farmer groups increase the efficiency and effectiveness of decision making regarding food crop selection. The research results show that the use of the SAW method in SPK is able to provide accurate and reliable recommendations, so that it can support increased productivity and welfare of farmers.