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Transportasi umum hingga saat ini masih banyak digunakan oleh masyarakat dengan berbagai alasan. Salah satu alasan masyarakat masih menggunakan transportasi umum adalah menghindari kemacetan dan ketidakpraktisan jika menggunakan kendaraan pribadi. Angkot salah satu transportasi umum yang diminati masyarakat terutama masyrakat Indonesia kalangan menengah ke bawah. Angkot sendiri mengalami tantangan dimana pertumbuhan angkutan mulai berkompetisi dengan mode transportasi sharing (ojek online) yang diakses melalui handhpone untuk melakukan pemesanan dan pembayarannya. Penelitian ini mengusulkan sebuah design aplikasi untuk memfasilitasi transportasi umum khususnya angkot untuk menjadi lebih baik lagi. Adanya aplikasi ini dapat mempermudah penumpang dalam mencari angkot sesuai rute tujuan serta membangkitkan kembali gairah masyrakat untuk menggunakan angkot. Metode yang digunakan untuk pengembangan aplikasi ini yaitu user-centered design dan metode yang digunakan untuk melakukan evaluasi perancangan adalah system usability scale (SUS). Hasil evaluasi dari aplikasi diperoleh peningkatkan pengalaman penumpang saat menggunakan transportasi angkot, dimana penumpang dapat lebih mudah mengetahui angkot mana yang harus digunakan untuk sampai tempat tujuan. Selain itu, pada aplikasi ini sudah adanya penetapan tarif yang jelas sesuai dengan kebutuhan pengguna.Public transportation is still widely used by the community for various reasons. One of the reasons people still use public transportation is to avoid congestion and the impracticality of using private vehicles. Angkot is one of the most popular public transportations, especially the lower middle-class Indonesians. Angkot itself is experiencing challenges where the growth of transportation begins to compete with the sharing mode of transportation (online motorcycle taxis) which is accessed via cell phones to place orders and make payments. This study proposes an application design to facilitate public transportation, especially public transportation, to be even better. The existence of this application can make it easier for passengers to find public transportation according to the destination route and revive the passion of the community to use public transportation. The method used for the development of this application is user-centered design and the method used to evaluate the design is the system usability scale (SUS). The results of the evaluation of the application obtained an increase in the passenger experience when using Angkot transportation, where passengers can more easily find out which Angkot should be used to get to their destination. In addition, this application has a clear tariff setting according to user needs.

The current economic growth in Indonesia is clearly closely related to the development of the digital era which is always evolving and transforming. Technological developments have not gone unnoticed, especially the economy and the increasing number of applications during the pandemic. Poverty rates and rates of increase are also increasing. One solution in today's digital era is the digital ecosystem. Digital ecosystems can help the process of exchanging information that is integrated with each other and contains various platforms in one container. In the survey of the need for the application of a digital ecosystem, 55.3% answered the need for a digital ecosystem, and the crowdfunding platform was the most preferred choice by 59.6% of respondents. There are many generous people who have more sustenance and want to help others in need, but are afraid to donate and meet in person, so an online crowdfunding platform is needed in this digital ecosystem called Ihya. This crowdfunding platform helps donors who want to donate, as well as fundraisers who need help and want to raise money. Back-end website development using Laravel with iterative incremental method. At the end of the development of the crowdfunding website platform, testing is carried out using black-box testing, namely scenario testing, as well as load testing, and user acceptance tests. The results of the user acceptance test that get a value of 88.8% which shows the user has felt helped by the features that have been made.

Recommender system is a tool that can help human find their preferences from a massive amount of data based. One of the practical implementation is for geogprahical recommender system. In this study, we propose such as geographical recommender system that recommend multiple Point of Interest (POI) in sequence manner. The usage of this method is for overland tourism. Overlan tourisme is one type of tourism that is currently chosen by many travelers or tourists. Tourists who choose the overland method tend to use a long time to visit several destination objects for a long time. The traveler will choose to start from one city and end in another city. Throughout the trip from the city, a traveler will visit several destination objects. Some travelers have problem when they want to plan their itenary or travel plans within in certain constrains such as certain budget. They find it difficult to visit anything and anywhere within the available budget. This research propose some algoritm solution to solve this problem by developing a recommendation system in list of tourist destinations with a constraint on the budget. The proposed method have several stages. One of the important stages is selecting a list of recommended destination object to be visited. This algorithm would produce set or list of recommended tourist in sequence of destination according to the available budget for a certain duration of time.

This study aims to explore the feasibility of implementing a chatbot for an interview process. The development of chatbots evolved rapidly to efficiently collect information in numerous fields, including customer service, health care, and etc. However, there was limited discussion of how chatbots are used to conduct an interview process autonomously. A human-driven interview also has some major limitations, e.g., it may only be conducted on a small-scale and is susceptible to bias. Hence, this study provides the design of a chatbot to conduct an interview, as well as processing the interview result by using Artificial Intelligence (AI) or machine learning. We have identified the difference between the typical chatbot communication method and the interview bot. This finding can be an opportunity to make a new interview bot or improve the implementation of a chatbot. In the end, we also discuss the challenges and benefits of the development of an interview bot.

Agricultural sector has been facing great challenges in order to feed the increasing number of population living in the world. In the future, it will be very difficult to rely on traditional farming to produce food. Some researchers and industry experts have begun developing smart farming by utilizing information technology. This paper presents the conceptual model and system design for decision support of smart farming with network sensor applications in order to perform necessary tasks required for farmers. We propose a comprehensive model using Internet of Things (IoT) approach which will be applied to agriculture. Data acquisition via sensors, control and tasks management, and data analysis are considered in the development of model and system design. In this system, we propose a solution to help farmers facing problems of tasks management and planning, environment factors measurements, and information distribution.

Electric Railway (KRL) in Jabodetabek is one of the most reliable land transportation because it can carry passengers in large quantities. Timetables, fares, seat availability, travel time, and travel routes are the most needed information for KRL passengers. Currently, information technology has not been fully utilized to convey information to passengers, such as the process of information delivery is still with the help of officers at the station. The information is very necessary, such as to obtain certainty, reduce anxiety, and support the process of making travel decisions for passengers. This research will design and build a display system of KRL Commuter Line Jabodetabek passenger information by using ReactJS framework which will be applied to the kiosk display at every Commuter Line KRL station. Implementation of this passenger information system is expected to help operators work effectively and to help passengers know KRL information quickly and accurately. Abstrak: Kereta Rel Listrik (KRL) di Jabodetabek adalah salah satu transportasi darat yang paling diandalkan karena dapat mengangkut penumpang dalam jumlah banyak. Jadwal, tarif, ketersediaan tempat duduk, waktu tempuh, dan rute perjalanan merupakan informasi yang paling dibutuhkan oleh penumpang KRL. Saat ini teknologi informasi belum secara utuh dimanfaatkan untuk menyampaikan informasi kepada penumpang, seperti proses penyampaian informasi masih dengan bantuan petugas di stasiun. Informasi tersebut sangatlah diperlukan, seperti untuk memperoleh kepastian, mengurangi kecemasan dan mendukung proses pengambilan keputusan perjalanan bagi penumpang. Penelitian ini akan merancang dan membangun sistem display informasi penumpang KRL Commuter Line Jabodetabek dengan menggunakan ReactJS framework yang akan diterapkan pada display kiosk di setiap stasiun KRL Commuter Line. Implementasi dari sistem informasi penumpang ini diharapkan akan membantu operator agar lebih efektif dalam pekerjaannya dan membantu penumpang untuk mengetahui informasi KRL secara cepat dan tepat.