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All Journal Jurnal Ilmu Komputer dan Informasi Jurnal Ilmiah Informatika Komputer Techno Nusa Mandiri : Journal of Computing and Information Technology Al-Kharaj: Journal of Islamic Economic and Business JURSIMA (Jurnal Sistem Informasi dan Manajemen) Management Studies and Entrepreneurship Journal (MSEJ) Enrichment : Journal of Management Jurnal Sistem Informasi Jurnal Ekonomi West Science Social and Humanities Studies Journal of Law, Economics, and Engineering

Rian Ardianto

Universitas Harapan Bangsa

Author-ID : 6344203

Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Engineering Law, Crime, Criminology & Criminal Justice Library & Information Science Public Health Social Sciences

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SENTIMENT ANALYSIS ON E-SPORTS FOR EDUCATION CURRICULUM USING NAIVE BAYES AND SUPPORT VECTOR MACHINE Rian Ardianto; Tri Rivanie; Yuris Alkhalifi; Fitra Septia Nugraha; Windu Gata
Jurnal Ilmu Komputer dan Informasi Vol 13, No 2 (2020): Jurnal Ilmu Komputer dan Informasi (Journal of Computer Science and Information
Publisher : Faculty of Computer Science - Universitas Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21609/jiki.v13i2.885

The development of e-sports education is not just playing games, but about start making, development, marketing, research and other forms education aimed at training skills and providing knowledge in fostering character. The opinions expressed by the public can take form support, criticism and input. Very large volume of comments need to be analyzed accurately in order separate positive and negative sentiments. This research was conducted to measure opinions or separate positive and negative sentiments towards e-sports education, so that valuable information can be sought from social media. Data used in this study was obtained by crawling on social media Twitter. This study uses a classification algorithm, Naïve Bayes and Support Vector Machine. Comparison two algorithms produces predictions obtained that the Naïve Bayes algorithm with SMOTE gets accuracy value 70.32%, and AUC value 0.954. While Support Vector Machine with SMOTE gets accuracy value 66.92% and AUC value 0.832. From these results can be concluded that Naïve Bayes algorithm has a higher accuracy compared to Support Vector Machine algorithm, it can be seen that the accuracy difference between naïve Bayes and the vector machine support is 3.4%. Naïve Bayes algorithm can thus better predict the achievement of e-sports for students' learning curriculum.

COMPARISON OF NAIVE BAYES ALGORITHM AND C.45 ALGORITHM IN CLASSIFICATION OF POOR COMMUNITIES RECEIVING NON CASH FOOD ASSISTANCE IN WANASARI VILLAGE KARAWANG REGENCY Yuris Alkhalifi; Ainun Zumarniansyah; Rian Ardianto; Nila Hardi; Annisa Elfina Augustia
Jurnal Techno Nusa Mandiri Vol 17 No 1 (2020): Techno Nusa Mandiri : Journal of Computing and Information Technology Period of
Publisher : Lembaga Penelitian dan Pengabdian Pada Masyarakat

Non-Cash Food Assistance or Bantuan Pangan Non-Tunai (BPNT) is food assistance from the government given to the Beneficiary Family (KPM) every month through an electronic account mechanism that is used only to buy food at the Electronic Shop Mutual Assistance Joint Business Group Hope Family Program (e-Warong KUBE PKH ) or food traders working with Bank Himbara. In its distribution, BPNT still has problems that occur that are experienced by the village apparatus especially the apparatus of Desa Wanasari on making decisions, which ones are worthy of receiving (poor) and not worthy of receiving (not poor). So one way that helps in making decisions can be done through the concept of data mining. In this study, a comparison of 2 algorithms will be carried out namely Naive Bayes Classifier and Decision Tree C.45. The total sample used is as much as 200 head of household data which will then be divided into 2 parts into validation techniques is 90% training data and 10% test data of the total sample used then the proposed model is made in the RapidMiner application and then evaluated using the Confusion Matrix table to find out the highest level of accuracy from 2 of these methods. The results in this classification indicate that the level of accuracy in the Naive Bayes Classifier method is 98.89% and the accuracy level in the Decision Tree C.45 method is 95.00%. Then the conclusion that in this study the algorithm with the highest level of accuracy is the Naive Bayes Classifier algorithm method with a difference in the accuracy rate of 3.89%.

Penerapan Sistem Pendukung Keputusan Penilaian Karyawan Terbaik Dengan Metode Simple Additive Weighting Ainun Zumarniansyah; Rian Ardianto; Yuris Alkhalifi; Qudsiah Nur Azizah
Jurnal Sistem Informasi Vol 10 No 2 (2021): JSI Periode Agustus 2021
Publisher : LPPM STMIK ANTAR BANGSA

Intisari— Dalam Penilaian Karyawan Terbaik pada PT. Berkah Jaya Motor, ada beberapa faktor yang menjadi penilaian dan berdasarkan penilaian kinerja karyawan diperusahaan. Penilaian karyawan di PT. Berkah Jaya Motor masih mengalami kendala karena masih menggunakan sistem Penilaian dengan cara Perundingan. Demi efisiensi kerja maka pengambilan keputusan yang tepat sangat diperlukan. Dengan tujuan untuk membangun dan memberikan alternatif. Untuk Penilaian karyawan terbaik dengan menggunakan metode Simple Additive Weighting (SAW). dimana ada beberapa kriteria yang masing-masing memiliki bobot penilaian sehingga memberikan hasil penilaian karyawan yang akurat terhadap setiap kinerja karyawan terbaik. Hasil akhir diperoleh dari proses perhitungan, yaitu penjumlahan dari matriks ternormalisasi dengan bobot per kriteria yang menunjukan rangking pemilihan karyawan terbaik dari pertama hingga yang terakhir dari kriteria. Dari penilaian tersebutlah menjadi alternatif yang kemudian mendapat Karyawan Terbaik. Kata Kunci— Sistem Pendukung Keputusan, Karyawan Terbaik, Simple Additive Weighting Referensi : [1] A. G. Anto, H. Mustafidah, and A. Suyadi, “Sistem Pendukung Keputusan Penilaian Kinerja Karyawan Menggunakan Metode SAW (Simple Additive Weighting) di Universitas Muhammadiyah Purwokerto,” JUITA, vol. 4, pp. 193–200, 2015, Accessed: Jun. 18, 2021.[Online]. Available: http://www.jurnalnasional.ump.ac.id/index.php/JUITA/article/view/876 [2] A. T. Widiyanto and Y. Erliani, “Sistem Pendukung Keputusan Dalam Menentukan Karyawan Terbaik Pada PTt. Tembaga Mulia Semanan Dengan Metode Topsis,” 2016. [3] I. Pratama, Sistem Informasi dan Implementasinya. 2019. [4] D. I. Sabanayo, “Sistem Pendukung Keputusan Pemilihan Karyawan Terbaik Menggunakan Metode SAW Pada PT. Berkah Cahaya Muria Kudus,” 2015. [5] T. Syahputra, M. Yetri, and S. D. Armaya, “Sistem Pengambilan Keputusan Dalam Menentukan Kualitas Pemasukan Pangan Segar Metode Smart,” JURTEKSI, vol. 04, no. 01, 2017, Accessed: Jun. 18, 2021. [Online]. Available: https://jurnal.stmikroyal.ac.id/index.php/jurteksi/article/view/19/18 [6] I. Fahmi, Teori dan Teknik Pengambilan Keputusan Kualitatif dan Kuantitatif . 2016. [7] S. Mallu, “Sistem Pendukung Keputusan Penentuan Karyawan Kontrak Menjadi Karyawan Tetap Menggunakan Metode TOPSIS,” JITTER, vol. 01, no. 02, 2015, Accessed: Jun. 18, 2021. [Online]. Available: http://journal.widyatama.ac.id/index.php/jitter/article/view/53 . 2021 [8] K. Safitri, F. Tinus Waruwu, and Mesran, “Sistem Pendukung Keputusan Pemilihan Karyawan Berprestasi Dengan Menggunakan Metode Analytical Hieararchy Process Process Studi Case PT.Capella Dinamik Nusantara Takengon vol. 1, no. 1, pp. 12–16, 2017, Accessed: Jun. 18, ,” vol. 1, no. 1, pp. 12–16, 2017, Accessed: Jun. 18, 2021. [Online]. Available: https://ejurnal.stmik budidarma.ac.id/index.php/mib/article/view/317/268 [9] G. Taufiq, “Implementasi Logika Fuzzy Tahani Untuk Model Sistem Pendukung Keputusan Evaluasi Kinerja Karyawan,” Jurnal Pilar Nusa Mandiri, vol. XII, no. 1, 2016, Accessed: Jun. 18, 2021. [Online]. Available: http://ejournal.nusamandiri.ac.id/index.php/pilar/article/view/254/224 [10] D. Nofriansyah, Konsep Data Mining Vs Sistem Pendukung Keputusan, I. Yogyakarta: Deepublish, 2014. [11] D. Fatihudin, Metode Penelitian untuk Ekonomi, Manajemen dan Akuntansi. 2015. [12] J. Hartono, Analisis & Desain Sistem Informasi Pendekatan Terstruktur Teori Dan Praktik Aplikasi Bisnis. 2014. [13] I. G. B. Subawa, I. M. A. Wirawan, and I. M. G. Sunarya, “Pengembangan Sistem Pendukung Keputusan Pemilihan Pegawai Terbaik Menggunakan Metode Simple Additive Weighting (SAW) Di PT Tirta Jaya Abadi Singaraja,” Karmapati, vol. 4, no. 5, 2015, Accessed: Jun. 18, 2021. [Online]. Available: https://ejournal.undiksha.ac.id/index.php/KP/article/view/6623/4511

Dampak Kompensasi, motivasi dan Kepuasan Kerja Terhadap Kinerja Karyawan di Perusahaan: Review Literature Sutrisno Sutrisno; Herdiyanti Herdiyanti; Muhammad Asir; Muhammad Yusuf; Rian Ardianto
Management Studies and Entrepreneurship Journal (MSEJ) Vol. 3 No. 6 (2022): MSEJ : Management Studies and Entrepreneurship Journal
Publisher : Yayasan Pendidikan Riset dan Pengembangan Intelektual (YRPI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37385/msej.v3i6.1198

Faktor-faktor yang mempengaruhi kinerja karyawan adalah kompensasi, motivasi dan kepuasan. Kompensasi adalah jumlah paket yang ditawarkan organisasi kepada pekerja sebagai imbalan terhadap pengguna karyawan di perusahaan. Metode penelitian yang dipakai dalam penelitian ini adalah metode kualitatif berupa studi literature atau Library Research. Jenis penelitian ini adalah mengkaji suatu teori dengan membandingkannya beberapa teori-teori yang ada pada literature atau hasil penelitian sebelumnya yang termuat dalam artikel-artikel ilmiah yang sesuai dengan bidang manajemen sumber daya manusia. Semua artikel ilmiah yang disitasi bersumber dari pencarian data literasi Mendeley dan Google scholar. Berdasarkan kajian pustaka dan pembahasan maka dapat disimpulkan 1. Kompensasi yang diberikan pimpinan terhadap karyawan berpengaruh signifikat terhadap kinerja perusahaan di perusahaan 2. Motivasi yang diberikan pimpinan pada karyawan berpengaruh nyata pada kualitas kinerja karyawan 3. Kepuasan karyawan dalam bekerja berpengaruh nyata pada kualitas kinerja karyawan. Kata kunci: Kompensasi, Motivasi, Kepuasan Kerja

ANALISIS PENGGUNAAN APLIKASI QUIZIZZ PADA EVALUASI PEMBELAJARAN DENGAN METODE MEDIA SYSTEM DEPENDENCY DAN TECHNOLOGY ACCEPTANCE MODEL Rian Ardianto; Muhammad Ilham Prasetya; Widya Lelisa Army; Euis Kusumarini; Emy Yunita Rahma Pratiwi
Jurnal Ilmiah Informatika Komputer Vol 27, No 2 (2022)
Publisher : Universitas Gunadarma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35760/ik.2022.v27i2.6797

Quizizz merupakan suatu software yang berisi materi pendidikan yang disajikan dalam bentuk pembelajaran terintegrasi untuk melatih kreativitas dan meningkatkan kecerdasan siswa. Penggunaan metode Media System Dependency (MSD) dan Technology Acceptance Model (TAM) bertujuan untuk mengetahui model kerangka kerja dan domain spesifik pada keterlibatan teknologi siswa dalam konteks quizizz. Faktor yang cenderung tetap menggunakan quizizz dipengaruhi oleh persepsi tentang cenderungnya kemudahan atau kesulitan dalam belajar menggunakan quizizz sesuai dengan pengalaman belajar sebelumnya. Faktor lain yang mempengaruhi kondisi ini adalah sikap penerimaan atau penolakan ketika mendapatkan dampak dari penggunaan quizizz, jika dampaknya positif, maka dukungan orang tua terhadap siswa cenderung tetap menggunakan quizizz. Sikap publik terhadap penggunaan quizizz akan menjadi bentuk penerimaan jika dianggap quizizz mudah dimengerti. Berdasarkan hasil analisis dan penelitian, disimpulkan bahwa faktor-faktor yang mempengaruhi siswa untuk menggunakan quizizz adalah ketika sistem itu mudah dipelajari, fleksibel, mudah digunakan, dan memberikan metode pembelajaran yang unik.

THE IMPACT OF DIGITAL PROMOTION AND THE QUALITY OF GO-FOOD APPLICATION SERVICES ON PURCHASE DECISIONS Bunga Aditi; Rian Ardianto; Fachrurazi Fachrurazi
Jurnal Ekonomi Vol. 12 No. 01 (2023): Jurnal Ekonomi, 2023 Periode Januari - Maret
Publisher : SEAN Institute

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

The purpose of this study is to find out and analyze the effect of Go-Food services as a media promotion on food purchasing decisions in the city of Bandung. To find out and analyze the effect of Go-Food Service Quality on food purchasing decisions in the city of Bandung. The data in this study were tested using validity and reliability tests, multiple regression analysis, coefficient of determination, f test, and t test to test the hypothesis proposed by the researcher. Based on the results of simultaneous research on digital promotion and go-food service quality, they have a positive and significant effect on purchasing decisions with a significant value of 0.015 <0.05, this test shows that the hypothesis is accepted. The digital promotion variable has a positive and significant effect on the purchase decision variable. Furthermore, the service quality variable has a positive and significant effect on the purchasing decision variable. Purchase decisions at food outlets are influenced by digital promotions and the quality of go-food services, this is evidenced by the R square value of 37.9% while the rest are influenced by other factors.

Organizational leadership and justice's impact on organizational commitment Ferdinandus Sampe; Rian Ardianto; Warkianto Widjaja
Enrichment : Journal of Management Vol. 12 No. 6 (2023): February: Management Science And Field
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/enrichment.v12i6.1050

This study aims to analyze the influence of leadership and organizational justice on organizational commitment. This research was conducted at a manufacturing company located in Bandung, West Java. The study used 85 respondents who were employees of a manufacturing company in Bandung. In this study the sampling technique used non-probability sampling with the quota sampling method. Tests carried out in this study include validity tests, reliability tests, model tests, and hypothesis testing. The analytical tool used is multiple linear regression. The results of this study indicate that leadership has a positive and significant effect on organizational commitment and organizational justice has a positive and significant effect on organizational commitment. This research has theoretical and practical implications.

Influence of Brand Image, Product Design, and Celebrity Endorsement Zarkasi Zarkasi; Rian Ardianto; Ferdinandus Sampe; Anis Okta Cahyaningrum
Al-Kharaj: Journal of Islamic Economic and Business Vol 5, No 1 (2023)
Publisher : IAIN Palopo

This study aims to determine the effect of brand image, product design, and celebrity endorsement on the repurchase intention of consumers of soccer shoes. The object of this research is the consumer of soccer shoes in Pangandaran Regency. The sampling method of this study was an accidental sampling technique with 97 respondents. The data analysis technique was the multiple linear regression analysis with the SPSS program. The results showed that brand image has no significant effect on repurchase intention. Meanwhile, product design and celebrity endorsements have a positive effect on repurchase intention.

Pemberian Kredit Telepon Seluler Menggunakan Metode Topsis Pada Mars Phone Cell Tasikmalaya Rian Ardianto; Asti Herliana; Annisa Risqi Sulistya Kusuma Wardhani; Tb. Dedy Fuady; Dasril Aldo
JURSIMA (Jurnal Sistem Informasi dan Manajemen) Vol 10 No 1 (2022): Jursima Vol. 10 No. 1, April Tahun 2022
Publisher : INSTITUT TEKNOLOGI DAN BISNIS INDOBARU NASIONAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47024/js.v10i1.458

Adanya ide baru dalam strategi penjualan gadget sangat diperlukan untuk dapat memenuhi kebutuhan segmentasi masyarakat tersebut dengan memberikan kemudahan dan keringanan secara persyaratan dan prosedur membeli handphone secara kredit. Dengan semakin mudahnya sistem jual beli secara kredit sehingga menarik perhatian masyarakat untuk lebih mudah lagi dalam memiliki telepon seluler dengan keringanan pembayaran yang diberikan secara diangsur. Opsi terakhir yang disarankan diperoleh dengan menggabungkan alternatif statis dengan nilai bobot terbesar untuk setiap kriteria berfungsi mengidentifikasi debitur yang layak mendapatkan kredit ponsel. Jarak euclidean digunakan untuk mengukur seberapa dekat suatu alternatif dengan solusi ideal dalam metode TOPSIS, yang merupakan proses pengambilan keputusan multi kriteria. Alternatif yang dipilih harus, dari sudut pandang geometris, menjadi yang paling dekat dengan solusi ideal positif dan terjauh dari solusi ideal negatif. Keluaran sistem dapat menawarkan saran peringkat tergantung pada bobot yang paling signifikan. Dengan penggunaan pendekatan ini, kreditur dapat memilih debitur yang memenuhi syarat untuk kredit.

Analysis of the Impact of Globalization, Digital Technology, and Socio-Cultural Change on Community Identity in the Modern Era in Jakarta Loso Judijanto; Rian Ardianto; Ita Soegiarto
West Science Social and Humanities Studies Vol. 1 No. 06 (2023): West Science Social and Humanities Studies
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsshs.v1i06.496

This research explores the intricate interplay between globalization, digital technology, socio-cultural changes, and community identity in Jakarta, utilizing a quantitative approach. The study, based on a sample of 150 participants, employs structural equation modeling to analyze the relationships among these constructs. Descriptive statistics reveal a diverse demographic profile, while the measurement model ensures the reliability and validity of the chosen variables. The structural model elucidates significant positive relationships: digital technology, globalization, and socio-cultural changes positively influence community identity. Demographic nuances, such as age, gender, and socio-economic status, further shape these dynamics. The findings contribute to understanding community dynamics in the modern era and provide valuable insights for policymakers and community leaders.

Co-Authors Anis Okta Cahyaningrum Annisa Elfina Augustia Annisa Risqi Sulistya Kusuma Wardhani Asti Herliana, Asti Bunga Aditi Dasril Aldo Emy Yunita Rahma Pratiwi Euis Kusumarini Fachrurazi Ferdinandus Sampe Fitra Septia Nugraha Gata, Windu Hadi Jayusman Herdiyanti I Ketut Suada Ita Soegiarto Loso Judijanto Muhammad Asir Muhammad Ilham Prasetya Muhammad Yusuf Nila Hardi Qudsiah Nur Azizah Riska Suryani Rosyid Al-Hakim Tb. Dedy Fuady Tri Rivanie Warkianto Widjaja Widya Lelisa Army Yuris Alkhalifi Zarkasi Zarkasi

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