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All Journal Seminar Nasional Informatika (SEMNASIF) Swabumi (Suara Wawasan Sukabumi) : Ilmu Komputer, Manajemen, dan Sosial IJCIT (Indonesian Journal on Computer and Information Technology) Indonesian Journal on Software Engineering (IJSE) Jurnal Teknik Komputer AMIK BSI Jurnal Pilar Nusa Mandiri JITK (Jurnal Ilmu Pengetahuan dan Komputer) JURNAL MANAJEMEN INFORMATIKA (JUMIKA) J I M P - Jurnal Informatika Merdeka Pasuruan Jurnal Teknoinfo Energi & Kelistrikan INTERACTION: Jurnal Pendidikan Bahasa INTI Nusa Mandiri Jurnal Informatika dan Rekayasa Elektronik Jurnal Sistem Informasi dan Informatika (SIMIKA) Journal of Innovation and Future Technology (IFTECH) Budimas : Jurnal Pengabdian Masyarakat Journal of Intelligent Computing and Health Informatics (JICHI) Jurnal AbdiMas Nusa Mandiri Journal of Students‘ Research in Computer Science (JSRCS) JURNAL ELEKTRO DAN INFORMATIKA SWADHARMA (JEIS) Jurnal Altifani Penelitian dan Pengabdian kepada Masyarakat Joong-Ki : Jurnal Pengabdian Masyarakat Teknologika Jurnal Pengabdian Masyarakat Akademisi DEDIKASI : Jurnal Pengabdian Kepada Masyarakat Jurnal Media Penyiaran CHAIN: Journal of Computer Technology, Computer Engineering and Informatics Joong-Ki Jurnal Ilmiah Sistem Informasi Joong-Ki Jurnal Informatika dan Rekayasa Perangkat Lunak Komputasi : Jurnal Ilmiah Ilmu Komputer dan Matematika Jurnal Ilmiah Sistem Informasi Akuntansi (JIMASIA)
Ade Christian
Universitas Bina Sarana Informatika
Religion Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Mechanical Engineering Medicine & Pharmacology Nursing Physics Public Health Social Sciences Other

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Journal : Journal of Students‘ Research in Computer Science (JSRCS)

 1 
PENERAPAN ALGORITMA C4.5 DALAM MEMPREDIKSI LOYALITAS KONSUMEN PADA PT. HIBA UTAMA Veti Apriana; Sifa Fauziah; Ahmad Yani; Adi Supriyatna; Ade Christian; Sumarna; Muhammad Fahmi
Journal of Students‘ Research in Computer Science Vol. 4 No. 1 (2023): Mei 2023
Publisher : Program Studi Informatika Fakultas Ilmu Komputer Universitas Bhayangkara Jakarta Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31599/jsrcs.v4i1.2609

Abstract

PT. HIBA UTAMA is a company engaged in the transportation sector or often also called PO (Otobus Company) a company that is managed and operated to provide bus rental services and provide convenience to its consumers. The existence of the company has a significant role in providing transportation for consumers to travel and provide comfort and safety on the way. Competition that occurs makes companies vying to provide the best service to consumers. On the other hand consumers are increasingly difficult to understand. Satisfied consumers are not necessarily going to rent again and loyal consumers are not necessarily satisfied with the services provided. Most companies measure consumer satisfaction, but only a few assess customer loyalty and the results of PT. HIBA UTAMA helps increase consumer loyalty. Researchers apply the C4.5 algorithm to predict consumer loyalty at PT. HIBA UTAMA. The variables used are tenant period, rental scale, compliance, tenant loyalty, based on the accuracy results reaching 81%, which shows the C4.5 algorithm is suitable for predicting company customer loyalty. Keywords: C4.5 Algorithm, Consumer Loyalty, Prediction,Transfiguration   Abstrak PT. HIBA UTAMA merupakan perusahaan bergerak dibidang transportasi atau sering juga disebut PO (Perusahaan Outobus) perusahaan yang dikelola dan dijalankan untuk memberikan jasa penyewaan bus dan memberikan kenyamanan kepada konsumennya. Keberadaan perusahaan mempunyai peran yang cukup besar dalam menyediakan transportasi kepada konsumen untuk berwisata dan memberikan kenyamanan dan keselamatan dalam perjalanan. Persaingan yang terjadi membuat perusahaan berlomba-lomba memberikan pelayanan terbaik kepada konsumen. Disisi lain konsumen semakin sulit untuk dipahami. Konsumen yang puas belum tentu akan menyewa lagi dan konsumen yang setia belum tentu puas dengan pelayanan yang diberikan. Kebanyakan perusahaan mengukur kepuasan konsumen, tetapi hanya sedikit yang menilai loyalitas konsumen dan hasil loyalitas konsumen PT. HIBA UTAMA membantu meningkatkan loyalitas konsumen. Peneliti menerapkan algoritma C4.5 untuk memprediksi loyalitas konsumen PT. HIBA UTAMA.Variabel yang digunakan periode penyewa, skala penyewaan, kepatuhan, kesetiaan penyewa, berdasarkan hasil keakurasian mencapai 81%, yang menunjukan algoritma C4.5 cocok digunakan untuk memprediksi loyalitas konsumen perusahaan. Kata kunci: C4.5 Algoritma, Loyalitas Konsumen, Prediksi, Transfigurasi
Algoritma C4.5 untuk Memprediksi Loyalitas Konsumen Pada PT. HIBA UTAMA Apriana, Veti; Fauziah , Sifa; Yani , Ahmad; Supriyatna , Adi; Christian , Ade; Sumarna , Sumarna; Fahmi , Muhammad
Journal of Students‘ Research in Computer Science Vol. 4 No. 1 (2023): Mei 2023
Publisher : Program Studi Informatika Fakultas Ilmu Komputer Universitas Bhayangkara Jakarta Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31599/q0emcg44

Abstract

HIBA UTAMA is a company engaged in the transportation sector or often also called PO (Otobus Company) a company that is managed and operated to provide bus rental services and provide convenience to its consumers. The existence of the company has a significant role in providing transportation for consumers to travel and provide comfort and safety on the way. Competition that occurs makes companies vying to provide the best service to consumers. On the other hand consumers are increasingly difficult to understand. Satisfied consumers are not necessarily going to rent again and loyal consumers are not necessarily satisfied with the services provided. Most companies measure consumer satisfaction, but only a few assess customer loyalty and the results of PT. HIBA UTAMA helps increase consumer loyalty. Researchers apply the C4.5 algorithm to predict consumer loyalty at PT. HIBA UTAMA. The variables used are tenant period, rental scale, compliance, tenant loyalty, based on the accuracy results reaching 81%, which shows the C4.5 algorithm is suitable for predicting company customer loyalty.
Sistem Pendukung Keputusan Kelayakan Kredit Pada PT.BPR DP TASPEN Dengan Metode TOPSIS Indriani , Karlena; Sumanto , Sumanto; Christian , Ade; Ahmad Yani , Ahmad Yani; Ruli , Ahmad Rais; Marita , Lita Sari
Journal of Students‘ Research in Computer Science Vol. 4 No. 2 (2023): November 2023
Publisher : Program Studi Informatika Fakultas Ilmu Komputer Universitas Bhayangkara Jakarta Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31599/q6t2ed19

Abstract

This study focuses on analyzing the feasibility of pension loan applicants for state civil servants at PT. BPR DP TASPEN, with a focus on the use of the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) as an alternative analysis method. Previously, PT. BPR DP TASPEN uses a subjective evaluation method to assess the feasibility of loan applicants, which leads to potential risks and errors in the analysis. In this study, the authors recommend the use of TOPSIS as a support decision-making system to standardize the analytical process. TOPSIS was chosen for its efficiency in reducing the calculation time and ease of implementation. This method uses criteria and alternatives to calculate, produces the best alternative based on a weighted bobot, and provides the final decision. The results of the study indicate that TOPSIS provides a good solution for determining the feasibility of pension loan applicants. By considering criteria such as age, pension, debt, bank loan, health history, and income, only seven out of 40 loan applicants met the best criteria, which were close to the ideal positive solution. The selected applicants were recommended for approval as pension loans by the company, reducing the potential risks of credit and improving the accuracy of the selection of loan criteria.
Co-Authors Adi Supriyatna Ahmad Sinnun ahmad yani Ahmad Yani Ahmad Yani Ahmad Yani , Ahmad Yani Ajeng Clarissa Ali Haidir Alvin Marshall Raniel Saragih Amir Amir Amir Anastasiaa Siwi Fatma Utami Andi Taufik Anton Arfhan Prasetyo Ariq Naufal Rabbani Bibit Sudarsono Dedi Triyanto DENY KURNIAWAN Dhea Shaufy Dipo Era Ginanti Dwi Andini Putri Dwi Yuni Utami Eka Kurniatun Hazanah Eva Rahmawati Fahmi , Muhammad Fathurrahman Dwi Ramtomo Fattya Ariani Fattya Ariani Fauzi Ahmad Muda Fauziah , Sifa Fitria Kumalasari Ghofar Taufiq Gibran, Muhamad Rendi Hafis Nurdin Handini Widyastuti Hariyanto Hariyanto HARIYANTO HARIYANTO Hasan, Fuad Nur Husni Mubarok Ibnu Rusdi Ibnu Rusdi Imam Budiawan Indah Suryani Indah Suryani Indah Suryani Indah Suryani Indah Suryani Indah Suryani Indra Chaidir, Indra Indriani , Karlena Irwansah Lubis Jefina Tri Kumalasari Kaisar Ages Querio Karlena Indriani Karo-Karo, Julkarnaen khairul rizal Lia Mazia, Lia Lita Sari Marita Muhammad Fahmi Nafira Octaviani Amri Nur Alam Nur Rachmat Nugraha Nurhayati, M Sinta Nurlaelatul Maulidah Nurmalasari Pakpahan, Roida Pujiastuti, Lise Putri Putri Rachmat Adi Purnama Raihan Raihan, Raihan Riki Supriyadi Riki Supriyadi Riswandi Ishak Ruhul Amin Ruli , Ahmad Rais Saputra, Irwansyah Sifa Fauziah Siti Nazilah Suci Sulistiani Sumanto Sumanto Sumarna Sumarna , Sumarna Sumarna Sumarna Supriyadi Supriyadi Supriyadi Supriyadi Sandi Supriyadi Supriyadi Supriyadi Supriyadi Supriyadi Supriyadi Syakir, Adryan Raihan Taopik Hidayat Taufik Asra Teuku Vaickal Rizki irdian Ummu Radiyah, Ummu Veti Apriana, Veti Yani , Ahmad Yopi Handrianto, Yopi Zaky, Faiz Najwan