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Journal : International Journal of Quantitative Research and Modeling

Sentiment Analysis of Maxim App User Reviews in Indonesia Using Machine Learning Model Performance Comparison Saefullah, Rifki; Yohandoko, Setyo Luthfi Okta; Prabowo, Agung
International Journal of Quantitative Research and Modeling Vol 5, No 3 (2024)
Publisher : Research Collaboration Community (RCC)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46336/ijqrm.v5i3.762

Abstract

User reviews can vary widely in language and writing style, which can make accurate sentiment modeling difficult. Selecting the right machine learning model and comparing performance between models can be challenging, given that each model has its own strengths and weaknesses. The method used involved data collection by scraping 5000 reviews from the Google Play Store, followed by data pre-processing including data cleaning, tokenization, stemming, and feature engineering using TF-IDF. The data was divided into training (70%) and testing (30%) sets, with the SMOTE oversampling technique applied to address class imbalance. Three machine learning models were used: Random Forest, Support Vector Machine (SVM), and Naive Bayes. The results showed that the majority of reviews were positive, with a high average app rating. Word cloud analysis revealed that “service”, “driver”, “price”, and “time” were the most frequently discussed aspects in the reviews. In terms of model performance, SVM performed the best with an accuracy of 91.3%, followed by Random Forest (89%) and Naive Bayes (78%). Maxim was generally well received by users in Indonesia, with the majority of reviews being positive. The SVM model proved to be the most effective in classifying review sentiment, outperforming other models in accuracy and precision.
Multiple Linear Regression Analysis of Factors Influencing Human Development Index By Regency/City in East Java Province in 2024 Itsnaini, Nurul; Prabowo, Agung; Amitarwati, Diah Paramita
International Journal of Quantitative Research and Modeling Vol. 6 No. 3 (2025): International Journal of Quantitative Research and Modeling (IJQRM)
Publisher : Research Collaboration Community (RCC)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46336/ijqrm.v6i3.1078

Abstract

The Human Development Index (HDI) is an indicator used to assess the success of human development. The Human Development Index (HDI) is used to measure the impact of efforts to improve basic human capital capabilities. Based on BPS data, the HDI in East Java has consistently increased and has reached a high category, however, when compared to DKI Jakarta and DI Yogyakarta, the HDI in East Java is still relatively low. This study aims to determine the factors that influence the HDI in East Java Province. The research data are the 2024 HDI data for East Java Province obtained from the BPS of Lamongan Regency and the BPS website of East Java Province. This study uses the multiple linear regression method with RStudio software. Based on the results of the study, the multiple linear regression model with HLS, RLS, UHH, and GK factors has an influence of 97.94% on the HDI in East Java Province, while the TPT does not show a significant influence on the HDI in East Java Province.
Best Distribution Selection in Modeling the Interest Rate as a Random Modifier Kusumawati, Fajry Ayu; Prabowo, Agung; Br. SB, Agustini Tripena; Laksito, Grida Saktian
International Journal of Quantitative Research and Modeling Vol. 5 No. 2 (2024)
Publisher : Research Collaboration Community (RCC)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46336/ijqrm.v5i2.683

Abstract

The interest rate is seen as a random variable because the interest rate has an unpredictable nature or changes over time. This means that the interest rate cannot be anticipated in the future with a certain degree of certainty. Therefore, mathematical models are needed to predict the behavior and value of future interest rates. The models used in this study were interest rate, uniform distribution , and lognormal distribution. The data used in the study were interest rate data for 2014-2015 and sample data for uniform distribution. The resulting model in interest rate modeling as a random variable uses for uniform and lognormal distributions with the application of data and . The interest rate model as a uniformly distributed random variable is considered better with a smaller standard deviation, , and values compared to the lognormal distribution based on the data used.
Comparison of Agricultural Insurance Premium Prices Based on Rainfall Index and Based on Corn Commodity Production Prediction Index in Grobogan District Rosady, Tiara; Prabowo, Agung; Guswanto, Bambang Herdriya; Saputra, Jumadil
International Journal of Quantitative Research and Modeling Vol. 5 No. 2 (2024)
Publisher : Research Collaboration Community (RCC)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46336/ijqrm.v5i2.684

Abstract

In running an agricultural business, there is a big risk because farmers' productivity is very dependent on nature, and to reduce the risk of crop failure, the government provides a program to minimize losses from crop failure, namely agricultural insurance, through Law Number 19 of 2013 . This article aims to compare agricultural insurance premium prices based on the rainfall index and the production prediction index for corn commodities in Grobogan Regency. The results of this article are based on the reference used of 3% of compensation, namely IDR 344,872.5, and the results that are close to the reference are the price of insurance premiums based on the 5th simple average method corn production prediction index of IDR 356,433.58 . However, the premium price used as a reference previously was the gross premium price from AUTP, so the insurance premium price for Corn Farmers (AUTJ) was obtained, namely IDR 310,385.25. As a result, we obtained premium price results that were closest to the reference from AUTJ, namely at the 4th percentile, when the agricultural insurance premium price based on the rainfall index was IDR 330,155.76 per planting season.
Calculation of Motor Vehicle Insurance Premiums by using the Moment Method to Estimate the Aggregate Claim Model Alfaridzi, Sultan Izbik Riska; Prabowo, Agung; Nurhayati, Nunung; Halim, Nurfadhlina Abdul
International Journal of Quantitative Research and Modeling Vol. 5 No. 2 (2024)
Publisher : Research Collaboration Community (RCC)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46336/ijqrm.v5i2.685

Abstract

The aggregate claim model is a model that can be used to determine the amount of premium billed to the insured by the insurance company. This model consists of a combination of two independent random variables, namely the number of claims that occur and the size of the claim for each claim submitted. In this study, many claims are Poisson distributed and the size of the claim is exponentially distributed. The method of moments is used to estimate the parameters of each distribution. Based on the calculation results, the amount of premium billed to the insured for one year if based on the pure premium principle is Rp. 112,500,000.00 and if based on the expected value principle, variance value principle, and standard deviation principle is Rp. 165,900,000.00.
Survival Analysis Of Long Time To Recovery Of Covid-19 Patients Using The Antiviruses Remdesivir And Favipiravir Using The Kaplan-Meier Method Prabowo, Agung; Akmalina, Diniatul; Siahaan, Assana Dea; Puty, Flower of Your Dreams Yati
International Journal of Quantitative Research and Modeling Vol. 6 No. 4 (2025): International Journal of Quantitative Research and Modeling (IJQRM)
Publisher : Research Collaboration Community (RCC)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46336/ijqrm.v6i4.1082

Abstract

The coronavirus first appeared in Wuhan, China, in early December 2019. This virus is also known as Coronavirus disease 2019 (COVID-19). Based on the increasing number of COVID-19 cases and the high number of deaths, further research is deemed necessary. In this case, an effective treatment is needed to accelerate patient recovery. Two commonly used drugs are Remdesivir and Favipiravir. This study used the Kaplan-Meier method to evaluate the recovery time of COVID-19 patients based on two types of treatment: Remdesivir and Favipiravir. Survival analysis was conducted to compare the effectiveness of the two treatments in prolonging patient recovery time. The results showed a difference in effectiveness between the two types of treatment in terms of survival probability.
Co-Authors ., Rusliyawati A.A. Ketut Agung Cahyawan W Abd. Rasyid Syamsuri Abdul Halim, Nurfadhlina Abdul Muis Abdul Muis ABDUL MUIS Abdul Syukur Achmad Ridwan Achmad Ridwan, Achmad adi surya antara, adi surya Adiati, Ani Adinda, Baiq Tami Dwi Aglia, Arla Agus Sugandha Agustawijaya, Didi Supriadi Agustini Tripena Br Surbakti Ahmad Fadli Ahmad Fadli Akbar Idaman Akmalina, Diniatul Al-Ghifari, Muhammad Aziz Abdullah Alfaridzi, Sultan Izbik Riska Alibazah, Terra Dei Alif, Muhammad Ikhsan Alvyano Amal, Moh Alfi Amar Luthfi Amar Ma’ruf Amir, Supratiwi Amitarwati , Diah Paramita Amitarwati, Diah Paramita Amrullah Andini, Kiki Andini Andoko Andoko, Andoko Andriawan, Deden Andriyani, Mega Shintya Andryani Handrayani Putri Angelica Sitanggang, Tiffany Maria Arditianto, Yanuar Ari Purwanti Ari Wardayani, Ari Arif Wibawa Arrosyid, Muhammad Daffa Arumingtyas, Felinda Ashari, Isya Asri Laksmi Riani Azahra, Astrid Sulistya Azizah, Azkiyatul bin Mamat, Mustafa binti Abdullah Suhaimi, Nurnisaa Br. SB, Agustini Tripena Bukit, Dimas Dimanta Candra candra Choirunisa, Erika Nurul Chun wang Deden Andriawan Dei Alibazah, Terra Delima Sitanggang, Delima Deni Noviana Dewi Ratnasari, Erlinda Dharma Ajie Nur Rois Diki Hidayat Duran, Filbert Dwi Abadi, Medi Trilaksono Eldo, Handry Elisa, Syifa Fadlilah, Fajar Nur Fahreza, Muhammad Naufal Felim, Filbert Felinda Arumningtyas Firdaus, Muhammad Ilham Gading Bagus Mahardika Gea, Radiman Ginting, Riski Titian Govandy Gurning, Rosintan Guswanto, Bambang Hendriya Guswanto, Bambang Herdriya Halawa, Hendi Jaya Halim, Nurfadhlina Abdul Hamisu Kankarofi, Rabiu Hamka, Achmad Chaerul Handinata Handry Eldo Haryadi - Hati, Primanda Berlian Hendriva Guswanto, Bambang Henry Chandra Herol, Herol Heru Suryanto Hoesain M, Ismail HS, Christnatalis Hulu, Yakin Rianto Hutasoit, Feliks Daniel I Wayan Arsa Suteja Ida Wiendijarti Idha Sihwaningrum Ika Safitri Windiarti Immanuel Sinaga, Ferdy Indah, Sika Nur Indra Surjati Irman, Dede Ismawati, Heni Istikanaah, Najmah Itsnaini, Nurul Janna, Nur Jorgi L.Tobing, Stefanus kalfin Kalfin Kamal Prohandani Karpriana, Angga Permadi Kenichiro, Yoshie Ketaren, Faisal Haries Khairunisyah, Sevia Tri Kinanti, Fani Rasya Kireina, Michiko Komalasari Komalasari Kristina Wijayanti Kusumawati, Fajry Ayu Kusumo, Yudhy Widya Laksito, Grida Saktian Lianingsih, Nestia Mala Nurilmala Manalu, Rio Vincent Marulam Manday, Dhanny Rukmana Marsanda, Mareta Mashuri Mashuri Maulida, Ghafira Nur Mawaddah Harahap, Mawaddah Meilia Wulansari Melda Juliza Mendrofa, Fide Moses Miftahurrizqi, Miftahurrizqi Monica Dwi Kusumaningsih Muchtaranda, Ismail Hoesain Mufidah, Afifah Muh Irwan Muhamad Awiet Wiedanto Prasetyo Muhammad Haris Qamaruzzaman Muhammad Rizki Muhsin Muhsin Mukarromah, Zulfatul Muliady, Jefry Munahefi, Detalia Noriza Muntafi’ah, Naailah Mustafa Mamat Muzakki, Muhammad Sulthan Naibaho, Sona Halomoan Napitupulu, Agrifa Insani Nazilul Falah, Eliza Nazira, Aisy Azra Nofriadi Nofriadi Norhalisa, Siti Norhayati Novia Novita Eka Chandra Nunung Nurhayati Nur Amel Fitriyan Nur Heri Cahyana Nur Jannah Nurnisaa Binti Abdullah Suhaimi Nuroso, Dwiyani Larasati Putri Oliver Samuel Simanjuntak Pakuan, Gani Muhammad Paramita Amitarwati , Diah Paramita Amitarwati, Diah Pasaribu, Firdaus Hosea Pasaribu, Tessa Vena Melinda Perangin Angin, Despaleri Pirdaus, Dede Irman Polem, Naufal Maulana Pramesty, Elya Arum Prasetya, Riduwan Pratama, Anugrah Robby Prihartini Widiyanti PUJI LESTARI Purba, Rian Elby Putri, Cici Puty, Flower of Your Dreams Yati Rahmadana, Muhammad Akbar Rahmah, Khairunnisa Ramadhan, Abil Ramdhani, Arif Retno Hendariningrum Rifattul Qonita, Dewi Rini Cahyandari Rini Wahyu Sayekti Rita Sari Riyanto Haribowo Robetson, Robetson Rosady, Tiara Rulianah, Nita Ryan Rinaldi Hadistio Saefullah, Rifki Salma Mukhtar, Andina Saputra, Jumadil Sari Nurahmandhani, Ambar Sari, Fitra Bona Sehah Sehah Sembiring, Icha Dwi Putri Br Shihah, Hanna Dzawish Siahaan, Assana Dea Sidi, Pramono Sidiq, Fahmi Simbolon, Marco Duran Sinaga, Alfrendo Sinaga, Bram Dimpos Fajar Sinarpaska, Stefany Mahatma Siregar, Saut Dohot Soemitro Padmowijoto Sri Endang Rahayu Sudarmin Sudarmin Suhaimi, Nurnisaa binti Abdullah Suhariman, Fikrianto Sukono Sukono Sulistyowati, Tri Sulistyowati Sulthan Izbik Riska Alfaridzi Sumita Wardani Sunoko , Ray Aksan Supriyanto Supriyanto Supriyono Supriyono Suratno Suratno Suroto Suroto Suroto suroto Suroto Suroto Susilawati , Susi Sutami Syaiful Anwar, Agus Setiadi, Suwali, Syamsul Arifin Syarifuddin Oko Tambunan, Fiktor Januari Tar Muhammad Raja Gunung Tarigan, Nathanael Atan Baskita Tarigan, Perwira Togar Timoteus Gultom Tri Ayu Mulyani Tri Sulistyowati Triandi Triandi Tripena, Agustina Uswatun Chasanah Velicia, Lorraine Putri Vimelia, Willen Wahyuni, Nur Maulida Wahyuni, Olivia Nindi Wijaya, Frederico Wijaya, Sky Xavier Wijayanti, Marwah Daud Wilbert Solo, Eddrick Wisnalmawati Wisnalmawati Yakubu, Usman Abbas Yansyah, Deli Yanti, Voni Yasmin, Arla Aglia Yaza Azzahara Ulyana Yelia, Cica Yenni Sri Utami Yenni Sri Utami, Yenni Sri Yennimar, Yennimar Yhenis Apriliana Yohana Vivit Yohandoko, Setyo Yohandoko, Setyo Luthfi Okta Yuningsih, Siti Hadiaty Zaenal Bachruddin Zahra, Alika Zinedine Amalia Noor Mauludy Reihan Zulfahmi, Muhammad Hafidz