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Journal : JITU : Journal Informatic Technology And Communication

APLIKASI PENJUALAN KUE TRADISIONAL ONLINE DI MAKASSAR DENGAN FITUR STANDARDISASI PRODUKSI Marlina marlina; Mohammad Sofyan; Karina Levina Witanto
JITU : Journal Informatic Technology And Communication Vol 2 No 2 (2018)
Publisher : Universitas Boyolali

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36596/jitu.v2i2.24

Abstract

The problem in this research is traditional cake sales which is done offline and not yet refer to a standardization. So the purpose of this study is to build an application used to make sales of traditional cakes online with standardization features of production. Initial research conducted by the authors resulted in that human resources (traditional cake craftsmen) are available but the sales medium is limited. Especially with the sales process is still manual to add a number of difficulties that must be faced. Therefore the author makes a traditional cake sales application that brings together sellers and buyers. Web-built application using PHP programming language and MySQL database. Standardization for traditional cakes has not existed to date so in formulating the items used as traditional cake benchmarks, the authors have conducted research that produces the standards to be measured are size, material, presentation, and taste. From the results of application implementation testing conducted with a questionnaire on 15 respondents with average results of 85.6% (strongly agree), it can be concluded that the application can be used and accepted.
SISTEM PENDUKUNG KEPUTUSAN MENENTUKAN KUALITAS BIJI KAKAO DENGAN MENGGUNAKAN METODE MULTIDIENSIONAL SCALING (STUDI KASUS: PT. TANAH MAS CELEBES INDAH KABUPATEN POSO) Triyanti Kusuma Bangsa; Mohammad Sofyan S. Thayf; marlina marlina
JITU : Journal Informatic Technology And Communication Vol 3 No 1 (2019)
Publisher : Universitas Boyolali

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36596/jitu.v3i1.67

Abstract

The problem at PT. TMCI is that the lab part is still confused in determining the quality of some cocoa beans, because there is no average calculation. So that the quality of cocoa depends only on the specified parameters, and the moisture content, the count of cocoa beans as the first determinant of quality. The purpose of this study is to make a decision model in a decision making with the Multidimensional Scaling method, and a decision support system as a decision maker in determining the quality of cocoa beans, and implementing a decision support system and calculation of MDS metrics with several parameters, namely based on moisture content, moudly, broken beans, weight of waste, number of cocoa beans and flat cocoa beans. Then apply the MDS method in an Android-based application system, so that from the calculation results can determine which quality is good and which will be mixed again. Data collection is done by observing conditions directly, and conducting interviews. From the results of testing implementation, interviews and testing applications, that the application works properly when used. In terms of appearance and function the application can help the lab and the owner at the time of supplying supplier data. So it was concluded that this application could be well received and answer the problems of the lab and the owner.
Implementasi Cloud Computing dengan Google Colaboratory pada Aplikasi Pengolah Data Zoom Participants Gabriel Irfon Elrohi Soen; Marlina Marlina; Renny Renny
JITU : Journal Informatic Technology And Communication Vol 6 No 1 (2022)
Publisher : Universitas Boyolali

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36596/jitu.v6i1.781

Abstract

Since COVID-19 pandemic, many activities in the world of education, business, and religion, have become online. One of the online video conferencing applications that is often used is Zoom meeting. Due to the lockdown imposed by the government, the use of this application has increased. Even though the paid version has been used, there are still some difficulties for users to know the contributions of participants in meetings via Zoom Meetings, namely to know the data on the duration of participants’ attendance who attend meetings via Zoom and to sort out whether participants attend this meeting from beginning to end. Likewise, if the Zoom recording is stored on a computer or smartphone, it can be lost at any time due to various things. This problem can be solved by using Cloud Drive as the data repository and adding a python script to Google Colaboratory, so it can produce an application that can monitor the activity of each participant in the zoom participant data. After the implementation of the Google Colaboratory at ROCK church Makassar and by taking zoom data for 1 year, the results of the Google Colaboratory platform for the zoom participant data application, produce 3 graphs; a duration graph containing name and time duration data, a join leaves time detail graph containing data on names and hours of entry and exit, and a graph of the number of participants per session rundown of events. Additionally, by using this Google Colaboratory, storage becomes easier because it only requires internet, browser, and email.