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Mustakim
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Journal : The Indonesian Journal of Computer Science

 1 
Implementation of Density-Based Spatial Clustering of Applications with Noise and Fuzzy C – Means for Clustering Car Sales Auliani, Sephia Nazwa; Mustakim; Novita, Rice; Afdal, M
The Indonesian Journal of Computer Science Vol. 13 No. 4 (2024): The Indonesian Journal of Computer Science (IJCS)
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v13i4.4135

Abstract

This study compares the performance of two clustering algorithms, Density-Based Spatial Clustering of Applications with Noise (DBSCAN) and Fuzzy C-Means (FCM), in clustering car sales data at PT. XYZ. The dataset, comprising sales transactions from 2020 to 2023, includes information about vehicles, customers, and transactions. Preprocessing methods such as data transformation and normalization were applied to prepare the data. The results indicate that DBSCAN produces clusters with better validity, measured using the Silhouette Score, compared to FCM. Specifically, DBSCAN achieves the highest Silhouette Score of 0.7874 in cluster 2, while FCM reaches a maximum score of 0.3666 in cluster 3. Thus, DBSCAN proves to be more optimal for clustering car sales data at PT. XYZ, highlighting its superior performance in terms of cluster validity.
PENERAPAN MACHINE LEARNING PADA ANALISIS SENTIMEN APLIKASI MYTELKOMSEL MENGUNAKAN DATA ULASAN GOOGLE PLAYSTORE Fauzan, Farin Junita; M Afdal; Rice Novita; Mustakim
The Indonesian Journal of Computer Science Vol. 13 No. 3 (2024): The Indonesian Journal of Computer Science (IJCS)
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v13i3.4024

Abstract

The MyTelkomsel application is a digital access platform that provides telecommunications services. Therefore, sentiment analysis of MyTelkomsel application users is relevant for obtaining valuable insights for application development and management. This research aims to conduct sentiment analysis and compare methods on review data of the MyTelkomsel application. The dataset used is divided into two topics: service and user reviews. The labeling method in this research uses Lexicon Based and Indonesian Language Experts with three classes: positive, negative, and neutral. The labeled review dataset is then applied with SVM and Random Forest methods. The results obtained from applying two datasets with two labeling approaches indicate that the approach by experts tends to be more accurate compared to the lexicon-based approach because the highest accuracy of the lexicon-based approach is 79%, while the expert labeling achieves an accuracy of 83%. Additionally, in this study, the SVM algorithm demonstrates the highest accuracy, namely 83%, on the user dataset analyzed by Indonesian Language Experts.
Implementasi Association Rule Untuk Rekomendasi Strategi Up-Selling dan Cross-Selling Produk Menggunakan FP-Growth Nabiilah, Nabiilah; M. Afdal; Novita, Rice; Mustakim
The Indonesian Journal of Computer Science Vol. 13 No. 3 (2024): The Indonesian Journal of Computer Science (IJCS)
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v13i3.4025

Abstract

BC 4 HNI Pekanbaru is a subsidiary of PT. HNI-HPAI Indonesia offers a diverse range of items for sale. Insufficiently effective promotions, despite high transaction volumes, can result in certain items being less recognized and thus impractical. The purpose of employing the FP-Growth algorithm in data mining is to uncover product association patterns and produce rules for sales tactics using the CRM approach. Implementing CRM strategies that incorporate cross-selling and up-selling techniques can enhance sales. Cross-selling involves offering additional products or services connected to the items purchased, while up-selling involves encouraging customers to buy higher-value goods than initially intended, boosting sales of more expensive items. Among the 20 results obtained from analyzing transaction data from July 2023 to December 2023 using FP-Growth, only the rules with a minimum support value of 5% and a minimum confidence of 70% are considered for cross-selling strategies. Additionally, the rules with a minimum support value of 5% and a minimum confidence of 10% are considered for up-selling.
Co-Authors Abd Muis B. Abdurrahman Wahid, Abdurrahman Abror, Naufal Achmad Aziz Saifullah Afdal, M.Afdal AHMAD EFFENDI Ahmad Fahrul Rizal Aliyyah, Salwa Nur Amelia Rizka Wardana Anas Ikhlasul Amal Andi Bustam Didi Andi Nadyafatin Wadianita Anggraini Insiano, Dewi Annisa Rizky, Sabrina Atmaja Johny Artha, I Ketut Auliani, Sephia Nazwa Ayu, Ayu Audia S. Basirun Basuki, Pinky Issabella Nanda Candra Wijaya, Candra Dani Hari Tunggal Prasetiyo DARYONO Dede Imelda Syarif Deyidi Mokoginta Dihartawan Djoko Wahyudi Dwi Iryaning Handayani Emirati Ernawati faisal Reza Fauzan, Farin Junita Fauzi, Muhammad Arman Fauzi Firqa Nabila Ganang Riswanda Nur Wibawa Hafan Sutawardana, Jon Hamna Hasia Marto Heryanto Susilo Indah Permata Sari Indra Ira Aisyah Iswahyudi, M. Subhan Jabri, Umiyati Jumhuri, Muhammad Yusuf Karmila Risa Rahmawati Kartika Novita Rohmah Kasmaida kasmaida Koedoeboen, Arman Kristyowati, Yuli Laeliyatul Hasanah Latifha Sari, Nadjwa Lia Nanda Saputri Lodes Haju M Afdal M Afdal M Chairul Anam M. Afdal M. Afdal M. Fathuddin Noor, M. Fathuddin Mardliyah , Sjafiatul Masidin Merly Yanti Moh. A'rijul Ulya Moh.Iqbal Hamdani Muh. Darmawan Swandi Muh. Khaerul Ummah BK Muhammad Habil Auzan Muhammad Jabir Muhammadiah Muhammad Zhafran Amin Mulia Hakam Murtaqib Murtaqib Mutmainnah Nabiilah, Nabiilah Nasriani Nina Ariani Ni’mah Wahyuni Nur Afdalia Nur Hikmah Nur Nafisah Nur Rofi'ah, Siti Nuril Ilmiah Nusantara , Widya Oktavianus, Yosep Pangestu, Adinda Widia Purwito, Edy Rasidah Rizki Ratna Kartikasari Resky Yuniarty Siregar Rezki Triviananda Rice Novita Rice Novita Riduan Saberan Rondhianto Rondhianto Rosdarni Rusman Efendi Santoso Gunawan Saragih, Bilra Denny Bastanta SISWOYO Siti Ila Maufiroh Siti Riptifah Tri Handari Sofi Nurlaila Sudarmono, Enjellytha Suhandini Tjahjaningsih, Yustina Suparman, Ade Supini, Murmanan Syafrida Syafrida, Syafrida Syahputra, Syofyan Anwar Syaiful Hidayat Veza, Okta Wardana, Deny Warsito Widodo Widodo Widodo Wowiling, Steiva Amerlien Sandra Yuda, Afi Ghufran Yuniar Islamiati Yuniar Putri Ayu Wulandari Yusril Ihza Mahendra Yustina , Suhandini Yustina Suhandini Tjahjaningsih Yuswa, Rizky Amalia Zakariyah, M Fahmi