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All Journal CommIT (Communication & Information Technology) Jurnal Ilmiah Kursor Jurnal Teknoinfo Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika Journal of Computer System and Informatics (JoSYC) Operations Research: International Conference Series Prosiding Konferensi Nasional PKM-CSR Jurnal Aplikasi Bisnis dan Komputer Journal of Engineering and Information Technology for Community Service Smart Techno (Smart Technology, Informatic and Technopreneurship) J-Icon : Jurnal Komputer dan Informatika Indonesian Journal of Statistics and Its Applications
Arie Qur’ania
Universitas Pakuan
Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Mathematics Nursing Public Health Social Sciences Other

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Sentiment Analysis of Opinions on the Use of Devices in Students Using the Support Vector Machine (SVM) Method Muhammad Zuhri; Arie Qur'ania; Mulyati Mulyati
Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika Vol 20, No 1 (2023): Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika
Publisher : Ilmu Komputer, FMIPA, Universitas Pakuan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33751/komputasi.v20i1.6558

Abstract

Sentiment Analysis is a field of science in analyzing a sentiment or opinion on a particular object or problem and the opinion can be divided into several purposes (classes) that lead to negative, neutral or positive opinions. Gadgets (gadgets) are human aids in many fields including work, entertainment, communication and information, the use of gadgets themselves encompasses all ages including school students who use gadgets excessively that affect the mental, physical and attitudes of users. Twitter social media is one of the social media that is used by the public in making opinions about the influence of gadgets, especially parents, these opinions are useful for other users in determining the granting of access rights and direction for children, especially students in using gadgets. Opinion classification is needed in making it easier for other users to see whether opinions from the influence of gadgets fall into the negative, neutral or positive classes. The method used in the classification of opinion is Support Vector Machine (SVM). The data used in this study amounted to 1354 taken in 2019 using web scraping techniques on the Twitter site which are then pre-processed so that it can be processed into the program and classified into 3 classes of sentiments, namely negative, neutral and positive sentiments. In finding the average value of accuracy in the distribution of training data and test data using k-fold cross validation of 10-fold produces an average value of 85.3%. Then testing is done to measure the performance of the SVM method using confusion matrix in the percentage of training data and different test data and produces the highest accuracy value of 83.3%.
Student Ranking Based on Learning Assessment Using the Simplified PIPRECIA Method and CoCoSo Method Sitna Hajar Hadad; Dedi Darwis; Arie Qurania; Ahmad Ari Aldino; Abhishek R Mehta; Yuri Rahmanto; Setiawansyah Setiawansyah
Journal of Computer System and Informatics (JoSYC) Vol 5 No 1 (2023): November 2023
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josyc.v5i1.4544

Abstract

The problems that occur in determining the best students based on the learning process of the assessment process are still based on the academic scores of students and have not considered the learning process carried out by students. This study aims to apply the Combined Compromise Solution (CoCoSo) method in ranking students based on learning assessment using criteria of academic progress, problem-solving ability, mastery of skills, independence, motivation and positive attitude, adaptability, and for weighting the criteria used to apply the Simplified PIPRECIA (Pivot Pairwise Relative Criteria Importance Assessment) weighting method. The Simplified PIPRECIA method is particularly useful in situations where there are diverse criteria to be considered and complex decisions must be made taking into account the preferences and interests of various stakeholders. The Combined Compromise Solution Method is useful when there are conflicts in various criteria that need to be considered in the decision-making process. With this approach, each criterion is weighted and carefully calculated, so that the resulting decisions reflect comprehensive considerations that can meet various requirements and constraints. Based on the results of student rankings based on assessments in learning in the table above, rank 1 was obtained by students with Student ID 1211313 with a final grade of 6.487, rank 2 was obtained by students with Student ID 1211316 with a final grade of 6.402, and rank 3 was obtained by students with Student ID 1211314 with a final grade of 5.814.
SENTIMENT ANALYSIS OF ONLINE LOANS ON TWITTER USING LEXICON BASED METHODS AND SUPPORT VECTOR MACHINE (SVM) Saputri, Cita Suci; Qur'ania, Arie; Anggraeni, Irma
Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika Vol 21, No 2 (2024): Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika
Publisher : Ilmu Komputer, FMIPA, Universitas Pakuan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33751/komputasi.v21i2.10125

Abstract

Technological developments are increasingly rapid and moving towards digital, which in the end technology can also help people who are experiencing economic problems, namely with online loan services. Even though there are many conveniences provided by online loan services, of course not all people give positive comments because there are quite a few negative comments about this service.One of the social media that is widely used by the public to provide comments about online loans is Twitter. Sentiment analysis is a data processing process to obtain information about whether an opinion sentence tends to be positive, negative or even neutral. This research contains sentiment analysis towards Online Loans on Twitter using the Lexicon Based and Support Vector Machine methods. From the results of this research, the accuracy for SVM was 82.36%. From these results it can be concluded that the use of the Lexicon Based and Support Vector Machine methods is considered quite good and effective for classifying sentiment
PENERAPAN TURBIDITY SENSOR PADA PROTOTYPE SISTEM MONITORING KONTROL PINTU AIR DAN KEKERUHAN AIR APPLICATION OF TURBIDITY SENSOR IN PROTOTYPE SLUICE CONTROL MONITORING SYSTEM AND WATER TURBIDITY Hakiim, Reyhan; Qurania, Arie; Utami, Dian Kartika
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Publisher : Universitas Pakuan

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Abstract

ABSTRAK Pemantauan kualitas air memainkan peran yang penting karena memiliki efek merugikan yang berbahaya pada konsumsi biologis. Penentuan ketinggian air bendungan selama ini dilakukan dengan menggunakan alat manual berupa mistar yang diletakkan di pinggiran bendung katulampa. Petugas akan memantau ketinggian air kemera vidio yang ditempatkan di dekat pengukur ketinggian air. Penelitian ini membuat suatu sistem peringatan dini terhadap bencana banjir dengan monitoring ketinggian dan kekeruhan air di beberapa gerbang air untuk memberikan peringatan dini banjir dan kontrol terhadap pintu air yang terintegrasi dengan web, sensor drainase dan sensor kekeruhan yang dapat mempermudah petugas pemantau banjir dalam mengetahui ketinggian serta debit air sungai tanpa perlu melihat keadaan sungai secara langsung. Metode yang digunakan yaitu Hardware Programming. Hasil dari penelitian ini berdasarkan hasil pengujian jarak jangkaun sensor ultrasonik yang paling jauh terdeteksi 22 cm dengan sudut maksimal servo senilai 180 derajat, terdapat perbedaan pengukuran  kekeruhan air antara pengukuran konvensional dan juga pengukuran sensor serta terdapat perbedaan pembacaan terhadap servo, alat telah berhasil tersambung dengan database dan dapat dibaca datanya. Kata kunci : Banjir, Kekeruhan, Pintu Air, Website.  ABSTRACT Water quality monitoring plays an important role as it has harmful adverse effects on biological consumption. Determination of the dam's water level has been carried out using a manual tool in the form of a bar placed on the edge of the katulampa weir. The officer will monitor the water level of the video camera placed near the water level gauge. This research makes an early warning system against floods by monitoring water levels and turbidity at several water gates to provide early warning of floods and control of floodgates integrated with the web, drainage sensors and turbidity sensors that can make it easier for flood monitoring officers to know the height and discharge of river water without the need to see the state of the river directly. The method used is Hardware Programming. The results of this study are based on the results of testing the longest range of ultrasonic sensors detected 22 cm with a maximum servo angle of 180 degrees, there are differences in water turbidity measurements between conventional measurements and sensor measurements and there are differences in servo readings, the tool has been successfully connected to the database and can be read data.  Keywords: Flood, Turbidity, water gate, website
Multi-Objective Optimization by Ratio Analysis (MOORA) Method for Decision Support System in Selecting the Best Electric Car: Metode Multi-Objective Optimization by Rasio Analysis (MOORA) Untuk Sistem Pendukung Keputusan Dalam Pemilihan Mobil Listrik Terbaik Zakiyah Humaira; M. Irfan Ariandi; Arie Qur’ania; Teguh Puja Negara
Indonesian Journal of Statistics and Applications Vol 8 No 2 (2024)
Publisher : Departemen Statistika, IPB University dengan Forum Perguruan Tinggi Statistika (FORSTAT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/ijsa.v8i2p129-131

Abstract

Implementasi metode Multi-Objective Optimization by Ratio Analysis (MOORA) telah berhasil diterapkan untuk memilih mobil listrik terbaik. Hasil penelitian menunjukkan bahwa implementasi Metode MOORA berhasil merangking untuk 10 jenis mobil listrik dengan 8 jenis kriteria, yaitu: kapasitas baterai, kecepatan pengisian baterai, fitur kenyamanan, fitur keselamatan, jarak tempuh, kecepatan maksimum, harga, dan tenaga. Penerapan algoritma Moora didasarkan pada 4 tahapan, yaitu: penentuan nilai kriteria, penyusunan matriks keputusan, normalisasi dan optimasi atribut, dan penentuan rangking. Hasil penerapan metode MOORA merangking 10 jenis mobil listrik dengan urutan: Toyota BZ 4X, Hyundai ionic 5 2022, Cherry omodo E5 2024, Wuling cloud EV, Vinvost VF5, Nissan leaf 2021, Kia EV5 2023, BYD Dolphin, Wuling binguo EV, Wuling air EV 2022. Ketika terjadi penambahan dan pengurangan kriteria terjadi perubahan perangkingan. Hasil perangkingan mobil listrik terbaik ditampilkan dalam website dengan pemrograman Javascript dan PHP yang memuat tampilan halaman dashboard, halaman kriteria, halaman data, dan halaman perangkingan. Perhitungan pada sistem website telah divalidasi dengan aplikasi Excell menghasilkan akurasi 100%.
Aplikasi Safety Driving Assistance Dengan Perhitungan Haversine: Universitas Pakuan Bogor Perdi Yansyah perdi; Mohamad Iqbal Suriansyah Iqbal; Arie Qur’ania Arie
Smart Techno (Smart Technology, Informatics and Technopreneurship) Vol. 6 No. 1 (2024)
Publisher : Primakara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59356/smart-techno.v6i1.109

Abstract

This research proposes a solution to improve driving safety in Bogor City through the development of an Android-based driving companion application. This application provides a sound warning to drivers when approaching accident-prone locations within a radius of 900 meters. In addition, this application utilizes Location Based Service technology to provide information about the nearest accident-prone locations. The method applied uses the Haversine formula to calculate the distance between the user's location and accident-prone points. The Haversine formula, commonly used to measure the distance between latitude and longitude coordinates, is expected to provide high accuracy calculations. This application aims to provide early warning to drivers, increase awareness, and provide effective information regarding vulnerable locations. With this application, it is hoped that it can reduce the level of traffic accidents in Bogor City. Drivers will be more alert and informed about vulnerable locations, providing early warning when approaching dangerous areas. This solution is expected to contribute positively to driving safety and traffic safety in the region.
A Study of Public Opinion on the 2024 Regional Elections Using Cosine Similarity and TF-IDF Algorithms Hidayat, Ari; Qurania, Arie; Iqbal, Mohamad
Operations Research: International Conference Series Vol. 6 No. 1 (2025): Operations Research International Conference Series (ORICS), March 2025
Publisher : Indonesian Operations Research Association (IORA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47194/orics.v6i1.364

Abstract

The organization of general and regional head elections is an essential aspect of implementing an indirect democracy system. The primary objective of regional elections is to ensure that leaders are elected democratically and act on behalf of the people. The simultaneous holding of regional head elections has become a major topic of public discussion, giving rise to diverse opinions, particularly among Twitter users. This study aims to classify public opinion regarding the 2024 regional head elections using TF-IDF weighting, followed by a classification process with the Cosine Similarity algorithm. Of the 1,000 data points successfully scraped, 34.9% were classified as positive sentiment, 23.5% as negative sentiment, and 37.1% as neutral sentiment
Co-Authors Abhishek R Mehta Achmad Noerkhaerin Putra Adriana Sari Aryani Agung Prajuhana Putra Agung Prajuhana Putra Agus Ismangil Ahmad Ari Aldino Akbar Sugih Miftahul Huda Alexander A. S. Gunawan, Alexander A. S. Alexander Agung Santoso Gunawan Andi Chairunnas Anggraeni, Ade Irma Asep Saepulrohman Boldson H. Situmorang Dedi Darwis Dian Kartika Utami Dinar Munggaran Akhmad Erika Candra Erniyati Erniyati Gustian Rama Putra Gustian Rama Putra Hakiim, Reyhan Herfina Herfina Herlinda Herlinda Hermawan Hermawan Hidayat, Ari I Wayan Sriyasa Indra Fauzi Rahman Irma Anggraeni Iyan Mulyana Iyan Mulyana Kotim Subandi Lili Ayu Wulandhari Lita Karlitasari Lita Karlitasari M. Iqbal Suriansyah M. Irfan Ariandi Maryanto, Dani Aisak Mohamad Iqbal Mohamad Iqbal Suriansyah Iqbal Muhammad Zuhri Mulyati Mulyati Mulyati Mulyati Nazar Muhamad Ikhbal Negara, Teguh Puja Perdi Yansyah perdi Prihastuti Harsani Puspa Citra Rahman, Indra Fauzi Rizki Pratama Saputri, Cita Suci Sesilia Novita R Setiawansyah Setiawansyah Siska Andriani Sitna Hajar Hadad Sudrajat, Cecep Sufiatul Maryana Syarif Hidayatullah Tjut Awaliyah Triasti nurmiatiningsih Triastinurmiatiningsih, Triastinurmiatiningsih Victor Ilyas Sugara Wulandhari, Lili Ayu Yuri Rahmanto Yusma Yanti Zakiyah Humaira Zolla Zolla