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All Journal IJID (International Journal on Informatics for Development) Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Jurnal Pengabdian Nasional (JPN) Indonesia Jurnal Pengabdian Nasional (JPN) Indonesia
Tri Wahyudi
Sekolah Tinggi Ilmu Komputer Cipta Karya Informatika
Religion Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Environmental Science Law, Crime, Criminology & Criminal Justice Social Sciences Other

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 1 
Implementasi Dashboard Monitoring Laju Pertumbuhan Penduduk di Rukun Warga 011 Pondok Kelapa Menggunakan Tableau Public Tri Wahyudi; Melinius Nopianto; Julia Rani; Dandi Rizki Kurniawan; Denny Nugraha
Jurnal Pengabdian Nasional (JPN) Indonesia Vol. 4 No. 2 (2023): Mei
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM) AMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jpni.v4i2.203

Abstract

The purpose of this outreach is to assist the Pondok Kelapa 11 Residential Pillars community in monitoring population growth and trends. As the pandemic situation impacts municipal population growth, the service implements a tableau-based monitoring dashboard to facilitate monitoring of population trends. When collecting data, qualitative techniques are used to ensure the accuracy of the information received, with a focus on data collection, processing, and development. During the discussion, the data processing results of the population growth rate from January to October 2022 received by the Rukun Warga 11 Secretariat were presented. Through this community service, it is hoped that the community of RW 11 Pondok Kelapa will be able to visualize data more easily and accurately on population growth while raising awareness of the importance of monitoring population growth in community organizations.
Implementasi Dashboard Monitoring Laju Pertumbuhan Penduduk di Rukun Warga 011 Pondok Kelapa Menggunakan Tableau Public Tri Wahyudi; Melinius Nopianto; Julia Rani; Dandi Rizki Kurniawan; Denny Nugraha
Jurnal Pengabdian Nasional (JPN) Indonesia Vol. 4 No. 2 (2023): Mei
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM) STMIK Indonesia Banda Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jpni.v4i2.203

Abstract

The purpose of this outreach is to assist the Pondok Kelapa 11 Residential Pillars community in monitoring population growth and trends. As the pandemic situation impacts municipal population growth, the service implements a tableau-based monitoring dashboard to facilitate monitoring of population trends. When collecting data, qualitative techniques are used to ensure the accuracy of the information received, with a focus on data collection, processing, and development. During the discussion, the data processing results of the population growth rate from January to October 2022 received by the Rukun Warga 11 Secretariat were presented. Through this community service, it is hoped that the community of RW 11 Pondok Kelapa will be able to visualize data more easily and accurately on population growth while raising awareness of the importance of monitoring population growth in community organizations.
Monitoring Perkembangan Program Bank Sampah Menggunakan Tableau Public di RW 05 Kelurahan Cipinang Besar Selatan Tri Wahyudi; Diky Pramudita; Fadillah Abi Prayogo; Muhammad Rizky Julianto; Zahra Purwanti
Jurnal Pengabdian Nasional (JPN) Indonesia Vol. 5 No. 1 (2024): Januari
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM) STMIK Indonesia Banda Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jpni.v5i1.661

Abstract

This community service focuses on managing the Waste Bank in RW 05, Cipinang Besar Selatan Subdistrict with the aim of overcoming the lack of public interest in the Waste Bank program. Through a mentoring approach using Tableau Public, this activity aims to increase public understanding of the program. By using qualitative analysis, the results of the waste movement dashboard visualization are expected to provide an understanding of the influence of the Waste Bank on increasing waste volume. The research results show that data visualization using Tableau Desktop successfully achieved service objectives, providing significant insight into the effectiveness and development potential of the Waste Bank program. Features such as Total Waste per Month, Top Customer Rank, Top District, Top Types of Waste, and RT Participation provide an in-depth understanding of program dynamics. Data visualization has succeeded in increasing public interest, effectively reducing environmental pollution, and providing transparency of contributions, positive comparisons, personal understanding of environmental impacts, and motivation through growth and achievement. Therefore, the use of Tableau data visualization in the Waste Bank program is not only a data management tool, but also a driver of active participation and public awareness of the importance of protecting the environment. The Waste Bank program supported by data visualization has great potential to achieve sustainability goals and reduce negative impacts on the environment.
Monitoring Data Analytics Segmentasi UMKM pada Kelurahan Semper Barat, Kecamatan Cilincing, Jakarta Utara Menggunakan Tableau Public Lusi Noviani; Dea Zerlinda Ardini; Dinny Amalia Lestari; Tri Wahyudi
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 9 No 4 (2025): OCTOBER-DECEMBER 2025
Publisher : Lembaga Otonom Lembaga Informasi dan Riset Indonesia (KITA INFO dan RISET)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v9i4.3976

Abstract

UMKM is an abbreviation of the words Micro, Small and Medium Enterprises, describing economic activities carried out by individual, group, household or small businesses that are included in the standards as micro or medium enterprises. This activity can encourage independent abilities to develop in society, especially in the economic sector. With the existing problems, information media is needed to make it easier to search for information and a dashboard of developments in the number and sales results produced by West Semper Village UMKMs. The proposed solution is the use of information media via the Tableu website which can be used to monitor UMKMs in Semper Barat Subdistrict. This Tabblue dashboard produces a display in the form of values and narratives that can be accessed by the community, regional administrators and stake holders, to help them monitor and see how UMKMs have developed in the last 1 year. So it is hoped that the use of Tableu Information Media can have a good impact on the people of Semper Barat Village. So it is expected that the use of this Tableu Information Media can have a good impact on the people of Semper Barat Village. This Tableu is one of the Efforts in depicting real MSME information so that the Community knows that MSMEs are able to play a role as a supporter of life or family economic income that can be built from micro to medium with Efforts that are carried out consistently and sustainably.
K-Means Clustering of Social Studies Performance at Junior High School Tundo; Syifa Raihanah; Tri Wahyudi; Sugiyono
IJID (International Journal on Informatics for Development) Vol. 13 No. 2 (2024): IJID December
Publisher : Faculty of Science and Technology, Universitas Islam Negeri (UIN) Sunan Kalijaga Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14421/ijid.2024.4632

Abstract

This study aims to optimize the use of technology in evaluating student performance by grouping students based on their abilities. The main issues include the underutilization of technology, the absence of an appropriate evaluation system for different levels of student ability, and ineffective methods for grouping students. The K-Means Clustering algorithm was chosen because it has proven effective in grouping academic data in various studies. The data used includes Daily Knowledge Scores (DKS), Daily skill scores (DSS), Mid-term Summative Scores (MSS), End-of-Year Summative Scores (ESS), and Grade Report (GR). The data was analyzed using the CRISP-DM methodology with the help of RapidMiner. The results showed that 28.63% of students were classified as having excellent performance, 50.21% as having good performance, and 21.16% as having moderate performance. The Davies-Bouldin Index score of 1.713 for K=3 was considered sufficient for distinguishing the different student performance groups. The results of this study are expected to help schools provide learning support that better aligns with student needs. Future research is recommended to focus on optimizing the number of clusters (K), applying this method to other subjects, and integrating it with e-learning platforms for real-time student performance monitoring.
Co-Authors Dandi Rizki Kurniawan Dea Zerlinda Ardini Denny Nugraha Diky Pramudita Dinny Amalia Lestari Fadillah Abi Prayogo Julia Rani Lusi Noviani Melinius Nopianto Muhammad Rizky Julianto Sugiyono Syifa Raihanah Tundo, Tundo Zahra Purwanti