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All Journal ComTech: Computer, Mathematics and Engineering Applications Infotech: Journal of Technology Information
Madyatmadja, Evaristus Didik
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Computer Science & IT Engineering Mathematics

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Journal : Infotech: Journal of Technology Information

 1 
DATA VISUALISASI TINGKAT KENAIKAN LIMBAH SAMPAH DI INDONESIA Madyatmadja, Evaristus Didik; Widjaja, Samuel Axel; Haryo Pangukir, Joseph Priadi; Budiharjo, Matthew; Rianky, Rianky; Heryanda, Oktavian
Infotech: Journal of Technology Information Vol 9, No 2 (2023): NOVEMBER
Publisher : ISTEK WIDURI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37365/jti.v9i2.200

Abstract

Waste or garbage is a leftover material that has no use or is disposed of after daily activities by humans. The purpose of this research is to know whether waste in Indonesia has increased or not in the last three years and to find out what type of waste is the most in the last three years, and finally, what province has the largest pile of waste in the last three years. This research uses the method that has some procedures. They are acquired, parse, filter, mine, represent, refine, and interact. The visualization data used is using Microsoft Excel. There are two pieces of data, data on waste generation per year and data on the most types of waste from 2020 to 2022 in Indonesia based on SIPSN data. Data from SIPSN already in Microsoft Excel is inserted into Power BI by selecting "Get data ''; The data is processed into a table and started to be able to filter the data that has appeared. Data is then filtered to remove unwanted data. Waste accumulation in Indonesia has tended to decrease in the last three years. Various provinces in Indonesia have different figures depending on the population and advancement of infrastructure in the province. Last three years, food waste has become the highest number of waste. People aren't aware that the food scraps they consume can affect the total amount of waste/garbage. DKI Jakarta Province is the province that has the most waste pile. It is because DKI Jakarta province is a province that has a large population.
PENERAPAN VISUALISASI DATA TERHADAP KLASIFIKASI TINDAK KRIMINAL DI INDONESIA Madyatmadja, Evaristus Didik; Ridho, Muhammad Nuha; Pratama, Adhyaksa Rizky; Fajri, Miftahul; Novianto, Lutfi
Infotech: Journal of Technology Information Vol 8, No 1 (2022): JUNI
Publisher : ISTEK WIDURI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37365/jti.v8i1.127

Abstract

Crime still occurs in every region in Indonesia. Various classifications of crimes that occur and cause unrest for people in every region in Indonesia. The purpose of this study is to analyze and visualize data on crimes that occur in every region in Indonesia so as to facilitate the Indonesian government in making decisions. The method used for this research is the clustering method. The clustering stage is carried out by grouping data on crimes that occur in Indonesia which are classified from each region. The results of the data that have been visualized show that the crime rate in each area is different according to the classification of crime, so it is necessary to increase security in each area that has a level of criminality data according to the classification of crime. 
MANAJEMEN LIMBAH MAKANAN BERBASIS BLOCKCHAIN DENGAN INTEGRITAS SHA- 256 UNTUK MENDUKUNG KEBERLANJUTAN Evan, Felicia; Madyatmadja, Evaristus Didik
Infotech: Journal of Technology Information Vol 11, No 1 (2025): JUNI
Publisher : ISTEK WIDURI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37365/jti.v11i1.359

Abstract

Indonesia ranks fourth globally in food waste generation, addressing this significant issue, this paper explores the integration of blockchain technology with SHA-256 hashing to enhance food waste management practices in the restaurant industry. The proposed system leverages the immutable and transparent nature of blockchain to ensure accurate tracking, enhanced transparency, and accountability throughout the food waste lifecycle. By utilizing smart contracts, the system automates compliance and enforces waste management protocols, leading to more efficient operations and significant reductions in food waste. Empirical evaluations in real-world settings suggest that this blockchain-driven approach not only promotes sustainability but also provides economic benefits by optimizing resource utilization and reducing operational costs. Further research is recommended to address scalability, cost implications, and data privacy concerns to ensure the system's broader applicability and effectiveness.
DATA VISUALIZATION OF INTERNET USAGE IN THE JABODETABEK AREA Madyatmadja, Evaristus Didik; Nuramalia, An Nisa’a; Kusumawati, Lusi; Jamil, Syahlaa Perdina; Kusumawardhana, Wahyu
Infotech: Journal of Technology Information Vol 7, No 1 (2021): JUNI
Publisher : ISTEK WIDURI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37365/jti.v7i1.108

Abstract

The purpose of this study is to analyze and visualize internet usage data in the Jabodetabek area for the last 3 years, namely 2017, 2018, 2019 using quantitative methods which will display data per city and per year which is processed into the percentage of internet usage in the area. In addition, we also used the K-means clustering method as a method of grouping data and we chose to use the age variable for analysis. Along with the development of information technology, governments in various regions have also begun to expand the circulation of the internet to broaden people's insights and disseminate information more easily. However, in the current situation and conditions, it is felt that the distribution of internet use, especially in the Jabodetabek area, is still not optimal. Even though the area is a metropolitan city as the center of urban community activity. Therefore, through data on the percentage of Jabodetabek areas that access the internet, it can be seen as one of the factors for the government to be able to increase the performance of the internet evenly. The data will be visualized using the Tableau application in graphical form to facilitate information delivery to users in reading the results of data analysis.
Co-Authors Budiharjo, Matthew Evan, Felicia Fajri, Miftahul Fredy Purnomo Harjanto Prabowo Haryo Pangukir, Joseph Priadi Heryanda, Oktavian Jamil, Syahlaa Perdina Kusumawardhana, Wahyu Kusumawati, Lusi Meyliana Meyliana Novianto, Lutfi Nuramalia, An Nisa’a Pratama, Adhyaksa Rizky Rianky, Rianky Ridho, Muhammad Nuha Widjaja, Samuel Axel Yulianto, Budi