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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
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
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
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 Aleksander Jehatu Alimuddin Aliyyah, Salwa Nur Amelia Rizka Wardana Anas Ikhlasul Amal Andi Bustam Didi Andi Muh. Abrar Andi Nadyafatin Wadianita Anggraini Insiano, Dewi Annisa Rizky, Sabrina Anwardi Asrul Sani Atmaja Johny Artha, I Ketut Auliani, Sephia Nazwa Ayu, Ayu Audia S. Basirun Azmi, Nasywa Nidaul Baehaqi Basuki, Pinky Issabella Nanda Candra Wijaya, Candra Dandung Rudy Hartana Dani Hari Tunggal Prasetiyo DARYONO Dede Imelda Syarif Dewi Diniati Dewi Safitri Deyidi Mokoginta Dihartawan Djoko Wahyudi Dwi Iryaning Handayani Edy Purwito Elia Nur A’yunin Emilia Murni Emirati Ernawati Fachry Abda El Rahman Fadhliyah Malik Fahria Nadiryati Sadimantara Faisal faisal Reza Faridi Faridi Fauzan, Farin Junita Fauzi, Muhammad Arman Fauzi Firqa Nabila Fitriyah Najwa Gadeng, Thio Putra Ganang Riswanda Nur Wibawa Hafan Sutawardana, Jon Halimah Hamdan Hasibuan Hamna Hanifah Ismi Amhal Hasia Marto Herdiansyah, Dadang Heryanto Susilo Ikbal Ikbal Indah Permata Sari Indra INDRA FRANA JAYA KK Intan Rosenanda Sofiany Ira Aisyah Ismu Kusumanto Istianah Surury Iswahyudi, M. Subhan Jabri, Umiyati Juliana Tarsan Jumhuri, Muhammad Yusuf Jumiati Kamaludin, Moh. Karimu, Laila Qodriyah Karmila Risa Rahmawati Kartika Novita Rohmah Kasmaida kasmaida Khozin, Khozin Klariza Luthfi Damara Koedoeboen, Arman Kristyowati, Yuli Laeliyatul Hasanah Laila Zaqiyah Latifha Sari, Nadjwa Lia Nanda Saputri Lodes Haju M Afdal M Chairul Anam M. Afdal M. Afdal M. Fathuddin Noor, M. Fathuddin Mardliyah , Sjafiatul Masayu Cindey Kartikasari Masidin Masito Merly Yanti Mizna Sabilla Moh. A'rijul Ulya Moh. Rudini Moh.Iqbal Hamdani Muh Ahnaf Aqil Muh. Darmawan Swandi Muh. Khaerul Ummah BK Muhammad Fahrul Muhammad Habil Auzan Muhammad Jabir Muhammadiah Muhammad Nur Budiyanto Muhammad Zhafran Amin Mulia Hakam Murtaqib Murtaqib Muzanah Nabiilah, Nabiilah Nasriani Ngatmin Nina Ariani Ni’mah Wahyuni Nur Afdalia Nur Hikmah Nur Nafisah Nur Rofi'ah, Siti Nuril Ilmiah Nurul Hasinah Nusantara , Widya Oktafia Oktavianus, Yosep Pangestu, Adinda Widia Panggabean, Edward Perez, Liann Camille Davalos Puput Nabilakhul Natalia Puspitasari Amrin, Adelia Putri Nabila Rohmah Qodriyati, Tri 'Ulya Rahim, Arham RAHMAT MULIADI, RAHMAT Raniasa Putra Rasidah Rizki Ratna Kartikasari Resky Yuniarty Siregar Reza R. Dunggio Rezki Triviananda Rice Novita Rice Novita Riduan Saberan Risa Rahmawati, Karmila Rondhianto Rondhianto Ronny Hasudungan Purba Rosdarni Rosita Sinyor Rum, Eka Prabawati Rusdiyanto Rusman Efendi Sadimantara, Gusti Ray Safira, Nurlia Sahidin . Salim Haji Salsa Elvira Panorama Santoso Gunawan Sapar, Salmiah Saragih, Bilra Denny Bastanta Septriana Susilowati, Intan Serlina SISWOYO Siti Ila Maufiroh Siti Riptifah Tri Handari Sofi Nurlaila Sudarmono, Enjellytha Suhandini Tjahjaningsih, Yustina Suparman, Ade Supini, Murmanan Susanto, Shobri Firman Sutrisna Syafrida Syafrida, Syafrida Syahputra, Syofyan Anwar Syaiful Hidayat Taufik Ramadhani Teguh, Pribampudi Tyas Aprillia Ummah BK, Muh Khaerul Veza, Okta WAHYUNI Wardana, Deny Warsito Widodo Widodo Widodo Widyaswari, Monica 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