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All Journal Jurnal Teknologi dan Manajemen Informatika Jurnal Buana Informatika Edu Komputika Journal Sistemasi: Jurnal Sistem Informasi JOIV : International Journal on Informatics Visualization Jurnal CoreIT Jurnal Teknologi Sistem Informasi dan Aplikasi Jurnal Pendidikan Edutama Technologia: Jurnal Ilmiah Community Development Journal: Jurnal Pengabdian Masyarakat Journal of Computer Science and Engineering (JCSE) Journal of Applied Data Sciences Jurnal Pengabdian Masyarakat (ABDIRA) JUSTIN (Jurnal Sistem dan Teknologi Informasi) Jurnal Rekayasa Informasi Gotong Royong
Waluyo, Retno
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Aerospace Engineering Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Health Professions Languange, Linguistic, Communication & Media Nursing Public Health Social Sciences Other

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Journal : Journal of Applied Data Sciences

 1 
Data Mining Implementation with Algorithm C4.5 for Predicting Graduation Rate College Student Saputra, Jeffri Prayitno Bangkit; Waluyo, Retno
Journal of Applied Data Sciences Vol 2, No 3: SEPTEMBER 2021
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/jads.v2i3.37

Abstract

Academic evaluation and graduation of students are critical components of an academic information system's (AIS) effectiveness since they allow for the measurement of student learning progress. Additionally, the assessment stating whether the student passed or failed would benefit both the student and teacher by acting as a reference point for future performance suggestions and evaluations. Using Decision Tree C4.5, a comprehensive analysis of the student academic evaluation approach was conducted. Age, gender, public or private high school status, high school department, organization activity, age at high school admission, progress GPA (pGPA), and total GPA (tGPA) were all documented and evaluated from semester 1–4 utilizing three times the graduation criterion periods. The article's scope is confined to undergraduate programs. An accuracy algorithm (AC) with a performance accuracy of 79.60 percent, a true positive rate (TP) of 77.70 percent, and 91 percent quality training data achieved the highest performance accuracy value.
Analysis of Transaction Data for Modeling the Pattern of Goods Purchase Supporting Goods Location Rosliadewi, Linda; Nurfaizal, Yusmedi; Waluyo, Retno; Imron, Mohammad
Journal of Applied Data Sciences Vol 1, No 2: DECEMBER 2020
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/jads.v1i2.54

Abstract

Arlinda shop is a shop that sells daily necessities located in Salem, Brebes. Each day, this shop generates more and more data that is not used. The store layout which does not get enough attention will affect the level of sales. This study aimed to process the unused transaction data to obtain purchase patterns, some of the most frequently used algorithms were the apriori algorithm and FP-Growth algorithm to find relationship patterns, however, there was a technical constraint in the recommendation technique used which was frequently ignoring a large collection of items. To overcome this problem, the clustering process was carried out using the K-Medoids algorithm so that the association process became smaller. The test was carried out using RapidMiner with a minimum support of 10% - 30% and a minimum confidence of 70% and the results of recommendations for the layout of the goods with the highest lift ratio, namely if someone buys Nuvo BW then he buys pepsodent act, if someone buys wrapping papers then he buys mamy poko, and if someone buys cereal milo then he buys chitato.
Co-Authors Aji, Gilang Baskoro Akmal, Rafii Nur Albana, Ilham Andika, Rizki Arviansyah, Yanuar Aulia Difa, El Syafangatun Bangkit, Jeffri Prayitno biantoro, dwikris Cahyani Candrakasih, Maria Angelina Dwi Krisbiantoro, Dwi Dwi Puji Lestari, Dwi Puji Eksandi, Priski Fajar Hani, Nurul Isnaini, Khairunnisak Nur Khalidy, Shodiq Khasanah, Fitrotul Kusuma, Bagus Adhi Kusuma, Rahayu Linda Mohammad Imron Muflikhatun, Siti Munir, Andhar Siraj Nugroho, Rizki Nurfaizah Nurfaizah, Nurfaizah Praharaningtyas, Ranggi Pratama, Irfan Purnomo, Kharis Ardi Ramadani, Nevita Cahaya Ramadhani, Sekar Ajeng Ranggi Praharaningtyas Aji Rosliadewi, Linda Saputra, Jefri Prayitno Bangkit Sarmini Sarmini Senduk, Fabianus Kevin Septi Fajarwati Setiawan, Ito Taqwa Hariguna Uswatun Hasanah Yusmedi Nurfaizal Zamora, Hanenda Putri