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Kab. jember,
Jawa timur
INDONESIA
INFORMAL: Informatics Journal
Published by Universitas Jember
ISSN : 2503250X     EISSN : -     DOI : -
Core Subject : Science,
Computer Science & IT
Arjuna Subject : -
Articles 6 Documents
 1 
Search results for , issue "Vol 5 No 1 (2020): INFORMAL - Informatics Journal" : 6 Documents clear
Klasifikasi Data Aging Tunggakan Nasabah Menggunakan Metode Decision Tree Pada ULaMM Unit Kolaka Sarimuddin Sarimuddin; Jayanti Yusmah Sari; Muhammad Mail; Muh. Ariyandhi Masalu; Reski Surya Aristika; Nurfagra Nurfagra
INFORMAL: Informatics Journal Vol 5 No 1 (2020): INFORMAL - Informatics Journal
Publisher : Faculty of Computer Science, University of Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/isj.v5i1.16964

Abstract

This study aims to classify aging of loan data using the decision tree method based on plafond, outstanding principal, and the amount of loan. The subjects in this study were the debtor of ULaMM (Unit Layanan Modal Mikro), unit of Kolaka, PT. PNM (Persero) Kendari Branch. The number of samples used is 100 data debtors. Based on the results of the research conducted, it was found that the classification analysis using the Decision Tree has an accuracy rate of 95.00%, while the classification analysis using the Gradient Boosted Tree has an accuracy level of 90.00%. From the results of the analysis that has been done, it can be concluded that for the data in this study, the classification method using the Decision Tree is better than the Gradient Boosted Tree method.
Aplikasi Kegiatan pada Unit Kegiatan Mahasiswa LP3I Computer Club (UKM LCC) Rendi Adriandi; Ummu Radiyah; Anton Anton; Esron Rikardo Nainggolan
INFORMAL: Informatics Journal Vol 5 No 1 (2020): INFORMAL - Informatics Journal
Publisher : Faculty of Computer Science, University of Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/isj.v5i1.17046

Abstract

The development of telecommunications technology is very rapid along with the times that have reached the era of "technology in the grip". The use and utilization of information technology in this grip is needed by LCC UKM or LP3I Computer Club Student Activity Unit, where this UKM regularly holds training activities or seminars both for participants from internal campus and outside campus. But apparently the data management of participants who attended the activity was still manual, namely still using paper to record attendance of participants so there was no database of participants which caused the committee to find it difficult to contact participants who had already participated in UKM LCC activities if there were new activities. The main objective of the research is to produce an application based on Android activities to facilitate the committee in creating a participant database. The making of this application uses the scrum method so that it can make priorities in building this application as needed. The results of this study, the LCC UKM committee no longer needs to use paper for recording attendance and the participant database can be stored directly on the server.
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INFORMAL: Informatics Journal Vol 5 No 1 (2020): INFORMAL - Informatics Journal
Publisher : Faculty of Computer Science, University of Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

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Penerapan Metode TOPSIS & SAW Dalam Pemilihan Destinasi Wisata Di Jawa Timur Irfan Mahendra; Adynoto Suprapto
INFORMAL: Informatics Journal Vol 5 No 1 (2020): INFORMAL - Informatics Journal
Publisher : Faculty of Computer Science, University of Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/isj.v5i1.15311

Abstract

This research was conducted to test the application of the Technique Order Preference by Similarity to Ideal Solution (TOPSIS) method and the Simple Additive Weighting (SAW) method in the decision-making process of choosing tourist destinations in East Java. This research is motivated by the problems faced by the Jakarta Backpacker Community who often have difficulty in making choices about tourist destinations to be visited in East Java. The criteria used in this study are cost, destination, meeting point, trip length and facilities obtained. The results of this study indicate that The TOPSIS method and the SAW Method can be used for the decision-making process in the selection of tourist destinations in East Java, with the results of Explore Baluran and Menjangan being the most recommended choices as the primary choice. Besides, it is also known that there is a match between the TOPSIS and SAW methods, with the calculation results using the TOPSIS method that is 0.64 and the calculation using the SAW method is 0.86 as the highest calculated value. So as such, these two methods can be stated equally well used in the process of determining tourist destinations in East Java. However, this applies only to the highest value, because for the order of two and so on, the results of calculations on these two methods show differences in rank.
Pengembangan Aplikasi Kuliah Kerja Nyata Pada IAIN Salatiga Dengan Metode Prototype Agung Suprapto
INFORMAL: Informatics Journal Vol 5 No 1 (2020): INFORMAL - Informatics Journal
Publisher : Faculty of Computer Science, University of Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/isj.v5i1.17328

Abstract

During this time the management process of managing Kuliah Kerja Nyata at IAIN Salatiga still uses the conventional way by involving documents manually so it takes a long time. The purpose of this study is to build applications that are useful for handling the process of managing Kuliah Kerja Nyata (KKN) at IAIN Salatiga starting from registering data management, KKN supervisor lecturer management, to reporting the results of KKN. The application development method used in this study is the prototype method and in testing its application using the BlackBox testing method. From the results of the Blackbox, The Testing test shows that the application of a Kuliah Kerja Nyata on the Salatiga IAIN as a whole the functionality can run well.
Analisis K-Means Clustering pada Data Sepeda Motor Rozzi Kesuma Dinata; Safwandi Safwandi; Novia Hasdyna; Nur Azizah
INFORMAL: Informatics Journal Vol 5 No 1 (2020): INFORMAL - Informatics Journal
Publisher : Faculty of Computer Science, University of Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/isj.v5i1.17071

Abstract

K-Means is a data mining algorithm that can be used to grouping or clustering data. This research using k-means for clustering the data of motorcycle based on consumer needs. The dataset used in this research is Honda and Yamaha motorcycle which taken from the dialers in Dewantara District, Aceh. The data tested by grouping 300 data of motorcycle with different attributes into 3 clusters, which are cheap, normal, and expensive. The distribution of the data we separate it using 45 data in 15 times of test. Each test used 3 different data randomly selected on each test. To calculate the distance of each motorcycle data that have been inputted to each centroid, we used the Euclidean Distance formula. Data in this cluster system can be used as a recommendation for users in selecting the motorcycle that they interest the most. The results of the performance on each test finished in 15 times shown that the average value of Precision by 76%, Recall by 76% and the accuracy by 81%.

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