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All Journal Tech-E bit-Tech JUSTIN (Jurnal Sistem dan Teknologi Informasi) eCo-Fin SATIN - Sains dan Teknologi Informasi
Ardiane Rossi Kurniawan Maranto
Universitas Buddhi Dharma
Computer Science & IT Economics, Econometrics & Finance

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Journal : bit-Tech

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Academic Dashboard For Monitoring KPI Based Using Data Feeder Dikti Andi Leo; Ardiane Rossi Kurniawan Maranto; Fernando Fanjaya; Jupiter Supriyadi
bit-Tech Vol. 4 No. 3 (2022): bit-Tech
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/bt.v4i3.442

Abstract

University management requires accurate and fast academic reports that make it easier to make strategic decisions and in order to improve the quality of education. Therefore we need a tool that can monitor, evaluate and measure the performance of universities. A common problem is that there is a lot of academic data stored but to present it in reports at the time of evaluating academic activities is difficult and takes a long time. Academic evaluation can be presented with a dashboard so that it becomes easy for decision making. Dashboard is a page that shows graphs as KPIs (Key Performance Indicators) of an organization and provides all the important measurements needed to make key executive decision making. Universities in Indonesia report data on students, lecturers and lecture activities to the PDDIKTI (Higher Education Database). The data contained in the PDDIKTI Feeder is made an academic Dashboard in the form of visualization to assist and support decision making at the academic level and also to monitor using KPI as an evaluation. With the existence of an academic dashboard based on KPI, the presentation of reports becomes faster and easier to understand because it is in the form of visuals and indicators to find out what things need to be improved and the extent to which the achievements of each academic component are used as benchmarks in submitting study program accreditation.
Clustering Mental Health pada Pengguna Instagram Menggunakan Algoritma K-Means Yuliastati Putri Sugiarta Karlim; Aditiya Hermawan; Ardiane Rossi Kurniawan Maranto
bit-Tech Vol. 6 No. 1 (2023): bit-Tech
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/bt.v6i1.880

Abstract

The use of Instagram too often can have an impact on the mental health of its users. Mental health that is not good requires early treatment so that it does not have a widespread impact on other health. Mental illness requires a professional to treat it as an effort to prevent a disease from getting worse. However, the stigma attached to sufferers is one of the significant causes behind the reluctance to seek treatment. Therefore we need a way so that Instagram users can find out for themselves the condition of their mental health. One way is to do Clustering the use of Instagram so that it can provide an early indication of a person's mental health. From the proposed model we can find out the categories of 600 respondents who were collected using a questionnaire with 10 main attributes. The proposed model is k-means with 3 clusters determined using the elbow method. In this study, the last centroid obtained through calculations was used to evaluate the k-means by comparing the results of the k-means calculations with the results of psychologists. The results of the K-means evaluation have an accuracy of 73.83% so that the last centroid can be applied to web-based applications that have been created. This mental health clustering model is expected to be able to help the community to get mental health conditions early and reduce the negative stigma that exists and can be used as evaluation material in using social media more wisely.
User Interface Experience Analysis of PMB Online Buddhi Dharma Using System Usability Scale Junaedi; Ardiane Rossi Kurniawan Maranto; Maysha Permata Putri; Suwitno
bit-Tech Vol. 6 No. 2 (2023): bit-Tech
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/bt.v6i2.1051

Abstract

In the era of advanced digital technologies, the admission process for new students (PMBs) has become a critical aspect of education. To streamline and expedite this process, educational institutions are increasingly utilizing online enrollment applications. One such application, PMB Online Buddhi Dharma, plays a crucial role in this context. However, the success of these applications is not solely determined by technical ease; user experience, particularly the User Interface (UI), plays a pivotal role in influencing user satisfaction and efficiency. This study employs the System Usability Scale (SUS) method to comprehensively analyze the UI of the PMB Online Buddhi Dharma application, providing insights into usability and user satisfaction. Drawing from previous studies utilizing SUS in similar contexts, the research aims to contribute to the development and enhancement of the application's UI. This research evaluates too the effectiveness of Buddhi Dharma University's PMB Online in meeting the digital registration needs of prospective students, emphasizing ease of use and user acceptance. Through the SUS method, the study assesses user satisfaction and ease of use, obtaining an average SUS score of 78 from 30 respondents. This score categorizes Buddhi Dharma University Online PMB as "good," indicating a commendable level of acceptance from users, predominantly prospective students. The research concludes with implications for the application's further improvement and development, emphasizing the importance of user-friendly interfaces in digital admission processes.
Implementasi Sistem Verifikasi Ijazah dan Transkrip pada Jaringan Ethereum Blockchain Intan Anjali Putri; Aditiya Hermawan; Ardiane Rossi Kurniawan Maranto
bit-Tech Vol. 6 No. 3 (2024): bit-Tech
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/bt.v6i3.1288

Abstract

Blockchain, a decentralized database safeguarded by cryptographic security, has gained prominence for its resistance to manipulation. Its application extends notably to ensuring the security of financial transactions, including the acquisition of digital currencies. This study endeavors to develop a system aimed at validating diplomas and academic transcripts, enhancing their authenticity and bolstering the security of document storage. Leveraging the Ethereum Blockchain and Smart Contracts, the methodology focuses on the utilization of specialized codes executed within the Ethereum network. The outcome of this research manifests as a system blueprint designed for the verification of diplomas and transcripts, integrated within a web-based Ethereum Network platform. By harnessing the Ethereum Blockchain's inherent security features and employing Smart Contracts, the proposed system endeavors to streamline the verification process, ensuring the integrity and reliability of academic credentials while fortifying document storage against potential breaches. Through this innovative approach, the study contributes to advancing the authentication and security standards within the realm of academic documentation management.
Co-Authors Aditiya Hermawan Alvin Rahayu Andi Leo Andri Wijaya Fernando Fanjaya Hari Soetanto Intan Anjali Putri Junaedi Jupiter Supriyadi Leonardo Lianata Maysha Permata Putri Nicolas, Prayogi Perdana Suwitno Suwitno Suwitno Wahyudi Wahyudi Yuliastati Putri Sugiarta Karlim