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All Journal Jurnal Algoritma Jurnal Teknologi Informasi dan Ilmu Komputer JAIS (Journal of Applied Intelligent System) CESS (Journal of Computer Engineering, System and Science) Sinkron : Jurnal dan Penelitian Teknik Informatika Jurnal Proaksi Jurnal E-Bis: Ekonomi Bisnis Jurnal Akuntansi dan Keuangan Journal of Management and Digital Business Jurnal Algoritma Malcom: Indonesian Journal of Machine Learning and Computer Science Literacy : International Scientific Journals of Social, Education, Humanities Jurnal Ilmiah MEA (Manajemen, Ekonomi, dan Akuntansi) Jurnal Teknologi Informasi RISTEC : Research in Information Systems and Technology Journal of Knowledge Management Jurnal Pengabdian Masyarakat
Fikri Fahru Roji
Universitas Garut
Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Environmental Science Languange, Linguistic, Communication & Media Mathematics Social Sciences Other

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Uncovering Hidden Sentiments and Topics in Online Lending Application Reviews with the Valence Aware Dictionary and sEntiment Reasoner (VADER) and Latent Dirichlet Allocation (LDA) Approaches Fikri Fahru Roji; Windi Ariesti Anggraeni; Riyad Sabilul Muminin; Dendi Ramdani; Yayan Cahyan
RISTEC : Research in Information Systems and Technology Vol. 4 No. 2 (2023): RISTEC : Research in Information Systems and Technology
Publisher : RISTEC : Research in Information Systems and Technology

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

Abstract

Online lending (pinjol) has become an important part of the digital transformation of the financial sector, offering people easy access to funds. However, the increasing reliance on user reviews as a decision-making factor raises concerns about their authenticity and credibility. This research aims to analyze the sentiments and topics that appear in the reviews of Akulaku, Kredivo, and EasyCash lending apps on the Google Play Store. Using text mining techniques, VADER sentiment analysis, and LDA topic modeling, this research reveals dominant positive sentiments related to ease of use, service speed, and customer support. However, there were also negative reviews regarding loan application difficulties, technical issues, and bad experiences with billing and payments. This research provides valuable insights into the preferences and concerns of pinjol users, which can serve as a reference for service providers to improve the quality of their products and services.
Analisis Sentimen Terhadap Citra Merek Starbucks Pada Media Sosial Twitter Lusiana Nur Safitri; Nurhasan, Rohimat; Roji, Fikri Fahru
Jurnal E-Bis Vol 8 No 1 (2024): Vol. 8 No.1 2024
Publisher : Politeknik Piksi Ganesha Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37339/e-bis.v8i1.1610

Abstract

Brand image represents consumers' belief in a particular brand, forming their associations and perceptions. The shift from traditional to modern society due to globalization driven by technological advances has changed lifestyles. This transformation highlights the impact of Starbucks in introducing a new coffee culture to Indonesian consumers. The research methodology used is sentiment analysis using the VADER approach and Twitter as the main data source. The goal is to gain a deeper understanding of public sentiment towards the starbucks brand image on twitter social media. The observation results of this research show that many people use twitter as a medium to express various kinds of perceptions or sentiments, be it positive, neutral, and negative reviews. The findings of the sentiment analysis revealed that most of the people's responses were still neutral, with no positive or negative tendencies. By understanding the relationship between brand image and sentiment analysis, companies can take strategic steps to strengthen their brand image and positively influence consumer sentiment.
Model dan Implementasi Geographic Information System untuk Pemetaan UMKM di Kabupaten Garut Fakhrun Shiddieq, Diqy; Roji, Fikri Fahru; Wufron, Wufron; Bekti, Surya Garian
Jurnal Algoritma Vol 20 No 2 (2023): Jurnal Algoritma
Publisher : Institut Teknologi Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33364/algoritma/v.20-2.1455

Abstract

Usaha Mikro Kecil dan Menengah (UMKM) have an important role in the economy in Indonesia. UMKM have a significant contribution to national gross domestic product (PDB) and encourage the creation of new jobs. Based on data, more than half of the MSMEs in Indonesia are on the island of Java. Garut Regency is one of the regions in West Java which has more than 200 thousand UMKM with various products. UMKM products owned include wickerwork, weaving, specialty foods, leather centers and others. The Garut Regency area is quite large and it is noted that the distribution of UMKM is not centralized. So that stakeholders and the government experience difficulties in planning, implementing and evaluating programs designed to encourage increased performance of UMKM. Researchers found the urgency of research that had not been fully tested empirically and an ideal model had not been produced, so it was felt necessary to carry out this research. Previous research was carried out only on certain UMKM, namely the partial implementation of the Geographic Information System (GIS) for Garut Regency UMKM. However, overall UMKM data has not been found, so this is a novelty in this research. The methodology used is a prototype which has three main processes, namely listening to customer needs, building software and testing. The result of this research is to build a web-based geographic information system for the distribution of UMKM in Garut Regency which is expected to help understand the condition of UMKM better.
Perancangan Sistem Informasi Bimbingan Skripsi Online (SIBIMO) dengan SCRUM Framework Roji, Fikri Fahru; Shiddieq, Diqy Fakhrun; Gusdiana, Ridian; Puspita, Evi
Jurnal Algoritma Vol 20 No 2 (2023): Jurnal Algoritma
Publisher : Institut Teknologi Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33364/algoritma/v.20-2.1459

Abstract

The development of technology and the internet has opened up opportunities for advances in information systems. In this context, the Online Thesis Guidance Information System (SIBIMO) is an efficient solution in the thesis guidance process in higher education. With the SCRUM method, SIBIMO allows students to submit thesis titles, interact with supervisors, and manage seminar and trial stages through a designed user interface. This methodology combines stages such as UI design, functionality testing, and progress evaluation. Testing each SIBIMO menu ensures the system is running as intended. SCRUM allows achieving development time targets and efficient adaptation at each iteration. This research concludes that SIBIMO, which was developed using the SCRUM method, was successful in designing an Information System that was carried out effectively and efficiently in managing the Online Tutoring Information System design process.
Sosialisasi Pengolaan Lingkungan Bersih di Desa Talagajaya Banjarwangi Garut Melalui Praktik Kegiatan Pemisahan Sampah, Penanaman, dan Pembuatan Ecobrick Insani, Aura; Latip, Abdul; Putri Sukmana, Reinta; Permatasari, Rd Intan; Apriliya Nuraini, Raden Putri; Hasbi S, Muhamad; Abdi Ilahi, Pyar; Rohanudin, Muhammad; Ridwan Fauzi, Muhamad; Marchella, Amanda; Salsabila, Annisa; Arifah Nursadrina, Raisya; Salamah, Susi; Rahma Dianti, Ahrami; Nurhasanah, Siti; Fatimah, Nyinyi; Sabda Ilahi, Perceka; Fahru Roji, Fikri
JPM: Jurnal Pengabdian Masyarakat Vol 3, No 3 (2024): Jurnal Pengabdian Masyarakat
Publisher : Universitas Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52434/jpm.v3i3.41652

Abstract

Desa Talagajaya, yang terletak di Kecamatan Banjarwangi, Kabupaten Garut, menghadapi masalah signifikan dalam pengelolaan sampah yang disebabkan oleh keterbatasan fasilitas dan pemahaman masyarakat yang minim tentang pengelolaan sampah. Masalah ini mengakibatkan sampah berserakan di lingkungan desa. Program pengabdian masyarakat oleh kelompok KKN 50 Universitas Garut bertujuan untuk meningkatkan kesadaran dan keterampilan warga dalam pengelolaan sampah dan pemanfaatan lingkungan secara berkelanjutan. Metode yang diterapkan mencakup sosialisasi mengenai pemisahan sampah organik dan non-organik, penanaman 550 bibit tanaman, dan praktik pembuatan ecobrick. Sosialisasi pada 26 Agustus 2024 meliputi edukasi tentang pentingnya pemisahan sampah serta teknik pembuatan pupuk organik cair (POC) dan hidroponik. Penanaman tanaman pada 27 Agustus 2024 melibatkan masyarakat dalam kegiatan penghijauan, sementara praktik pembuatan ecobrick pada 28 Agustus 2024 menawarkan solusi untuk mengelola sampah plastik. Hasil dari kegiatan ini menunjukkan peningkatan keterlibatan masyarakat dalam pengelolaan sampah, serta dapat memberikan kontribusi berkelanjutan terhadap perbaikan lingkungan di Desa Talagajaya
Analisis Sentimen Publik Terhadap Kenaikan Tarif PPN di Indonesia dengan Pendekatan VADER Fauziah, Novi; Alkautsar, Muslim; Suryaman, Yaman; Roji, Fikri Fahru
Jurnal Akuntansi dan Keuangan Vol 12, No 2 (2024): : September 2024
Publisher : Department of Accounting, Faculty of Economics & Business

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/jak.v12i2.16796

Abstract

Kebijakan perpajakan seringkali dianggap sebagai isu yang menarik untuk dibicarakan publik dan menimbulkan tanggapan pro dan kontra. Tanggapan tersebut mengandung sentimen positif dan negatif yang diungkapkan melalui media sosial khususnya Twitter (X). Penelitian ini bertujuan untuk menganalisis bagaimana sentimen masyarakat terhadap kebijakan perpajakan di Indonesia khususnya kenaikan tarif pajak pertambahan nilai (PPN). Penelitian ini menggunakan metode deskriptif kualitatif dengan metode pendekatan VADER (Valence Aware Dictionary and Sentiment Reasoner) yang belum banyak digunakan pada penelitian-penelitian sebelumnya. Pendekatan ini dapat mengukur bagaimana respon masyarakat terhadap kenaikan tarif PPN melalui media sosial dan memberikan pemahaman yang lebih mendalam mengenai interaksi antara kebijakan publik dan persepsi masyarakat. Hasil penelitian menunjukkan dominannya sentimen negatif, kritik, dan kekhawatiran masyarakat terhadap kenaikan tarif PPN yang memperparah kesenjangan pendapatan dan belanja sehingga hanya menambah beban masyarakat. Namun sentimen positif mendukung kenaikan tarif PPN karena mempercepat pemerataan pembangunan ekonomi nasional.  
Time Series Forecasting of Top 3 Ranking Cryptocurrencies Setiawan, Ridwan; Julianto, Indri Tri; Roji, Fikri Fahru
Journal of Applied Intelligent System Vol. 8 No. 2 (2023): Journal of Applied Intelligent System
Publisher : Universitas Dian Nuswantoro and IndoCEISS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33633/jais.v8i2.8435

Abstract

Cryptocurrency has become a phenomenon worldwide. Although not all countries have legalized it, it is considered a promising investment asset. Currently, there are three top-ranking cryptocurrencies: Bitcoin, Ethereum, and Tether. This research aims to compare the performance of five forecasting algorithms, namely Autoregressive Integrated Moving Average (ARIMA), Neural Network, Support Vector Machine, Linear Regression, and Generalized Linear Model, using the dataset of Bitcoin, Ethereum, and Tether cryptocurrencies. The research methodology employed is Knowledge Discovery In Databases (KDD). The technique involves assessing the performance based on the Root Mean Square Error (RMSE) and comparing the results to find the most optimal model performance. The research findings indicate that for Bitcoin cryptocurrency, the Neural Network algorithm produced the most optimal results with an RMSE of 9180.534. For Ethereum cryptocurrency, the Neural Network algorithm demonstrated the best performance with an RMSE value of 537.528. Furthermore, for Tether cryptocurrency, the ARIMA algorithm yielded the best performance with an RMSE value of 0.003. Keywords – bitcoin, cryptocurrency, ethereum, forecasting, tether
Aplikasi Resep Makanan Bergizi Membantu Pencegahan Stunting Menggunakan Metodologi Agile Framework Scrum Setiawan, Ridwan; Mulyani, Asri; Ramdan, Galih Muhammad; Roji, Fikri Fahru
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 11 No 4: Agustus 2024
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jtiik.1148384

Abstract

Kementerian Kesehatan RI menyebutkan bahwa 1 dari 3 anak di Indonesia menderita stunting. Pola makan anak dapat menjadi salah satu faktor penyebab langsung yang bisa berdampak pada stunting. Permasalahan yang terjadi adalah kurangnya pengetahuan ibu terhadap stunting dan gizi anak serta bagaimana memberikan makanan yang bergizi kepada anaknya. Berdasarkan hal tersebut penelitian ini bertujuan untuk membuat aplikasi resep makanan yang disertai informasi nilai gizi untuk balita. Penelitian ini menggunakan metodologi Agile dengan framework Scrum dengan penggunaan aplikasi Github Project sebagai alat pemantau aktivitas selama pelaksanaan proyek pembangunan aplikasi. Aplikasi dibangun dalam platform mobile menggunakan bahasa Dart dan framework Flutter. Temuan utama dari penelitian ini adalah aplikasi yang dapat meningkatkan pengetahuan ibu mengenai stunting dan gizi anak yang sesuai dengan rekomendasi Kementerian Kesehatan RI dan UNICEF serta memberikan kemudahan dalam penyesuaian perangkat lunak ketika terjadi perubahan kebutuhan selama pengembangan. Pengujian menunjukkan aplikasi berjalan dengan baik sesuai test case dan selesai tepat waktu dengan total 487 jam setara 61 hari kerja. Aplikasi ini menyajikan dan menyimpan resep makanan bergizi, menghitung status gizi balita, serta menyediakan informasi tentang isu stunting dan kalkulator stunting.   Abstract   The Indonesian Ministry of Health states that 1 in 3 children in Indonesia suffer from stunting. A child's diet can be one of the direct causative factors that impact stunting. The issue at hand is the lack of maternal knowledge regarding stunting and child nutrition, as well as how to provide nutritious food to their children. Based on this, the aim of this study is to develop a recipe application that includes nutritional information for toddlers. This research employs the Agile methodology with the Scrum framework, utilizing the GitHub Project application as a tool for monitoring activities during the application development project. The application was built on a mobile platform using the Dart language and the Flutter framework. The main finding of this study is an application that can enhance mothers' knowledge about stunting and child nutrition, in accordance with the recommendations of the Indonesian Ministry of Health and UNICEF, while also providing ease in software adjustment when changes in requirements occur during development. Testing showed that the application performed well according to test cases and was completed on time, with a total of 487 hours equivalent to 61 working days. The application presents and stores nutritious food recipes, calculates the nutritional status of toddlers, and provides information on stunting issues and a stunting calculator.
Sosialisasi Pengolaan Lingkungan Bersih di Desa Talagajaya Banjarwangi Garut Melalui Praktik Kegiatan Pemisahan Sampah, Penanaman, dan Pembuatan Ecobrick Insani, Aura; Latip, Abdul; Putri Sukmana, Reinta; Permatasari, Rd Intan; Apriliya Nuraini, Raden Putri; Hasbi S, Muhamad; Abdi Ilahi, Pyar; Rohanudin, Muhammad; Ridwan Fauzi, Muhamad; Marchella, Amanda; Salsabila, Annisa; Arifah Nursadrina, Raisya; Salamah, Susi; Rahma Dianti, Ahrami; Nurhasanah, Siti; Fatimah, Nyinyi; Sabda Ilahi, Perceka; Fahru Roji, Fikri
JPM: Jurnal Pengabdian Masyarakat Vol 3 No 3 (2024): Jurnal Pengabdian Masyarakat
Publisher : Universitas Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52434/jpm.v3i3.41652

Abstract

Desa Talagajaya, yang terletak di Kecamatan Banjarwangi, Kabupaten Garut, menghadapi masalah signifikan dalam pengelolaan sampah yang disebabkan oleh keterbatasan fasilitas dan pemahaman masyarakat yang minim tentang pengelolaan sampah. Masalah ini mengakibatkan sampah berserakan di lingkungan desa. Program pengabdian masyarakat oleh kelompok KKN 50 Universitas Garut bertujuan untuk meningkatkan kesadaran dan keterampilan warga dalam pengelolaan sampah dan pemanfaatan lingkungan secara berkelanjutan. Metode yang diterapkan mencakup sosialisasi mengenai pemisahan sampah organik dan non-organik, penanaman 550 bibit tanaman, dan praktik pembuatan ecobrick. Sosialisasi pada 26 Agustus 2024 meliputi edukasi tentang pentingnya pemisahan sampah serta teknik pembuatan pupuk organik cair (POC) dan hidroponik. Penanaman tanaman pada 27 Agustus 2024 melibatkan masyarakat dalam kegiatan penghijauan, sementara praktik pembuatan ecobrick pada 28 Agustus 2024 menawarkan solusi untuk mengelola sampah plastik. Hasil dari kegiatan ini menunjukkan peningkatan keterlibatan masyarakat dalam pengelolaan sampah, serta dapat memberikan kontribusi berkelanjutan terhadap perbaikan lingkungan di Desa Talagajaya
Analisis Sentimen Publik Terhadap Kenaikan Tarif PPN di Indonesia dengan Pendekatan VADER Fauziah, Novi; Alkautsar, Muslim; Suryaman, Yaman; Roji, Fikri Fahru
Jurnal Akuntansi dan Keuangan Vol 12, No 2 (2024): : September 2024
Publisher : Department of Accounting, Faculty of Economics & Business

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/jak.v12i2.16796

Abstract

Kebijakan perpajakan seringkali dianggap sebagai isu yang menarik untuk dibicarakan publik dan menimbulkan tanggapan pro dan kontra. Tanggapan tersebut mengandung sentimen positif dan negatif yang diungkapkan melalui media sosial khususnya Twitter (X). Penelitian ini bertujuan untuk menganalisis bagaimana sentimen masyarakat terhadap kebijakan perpajakan di Indonesia khususnya kenaikan tarif pajak pertambahan nilai (PPN). Penelitian ini menggunakan metode deskriptif kualitatif dengan metode pendekatan VADER (Valence Aware Dictionary and Sentiment Reasoner) yang belum banyak digunakan pada penelitian-penelitian sebelumnya. Pendekatan ini dapat mengukur bagaimana respon masyarakat terhadap kenaikan tarif PPN melalui media sosial dan memberikan pemahaman yang lebih mendalam mengenai interaksi antara kebijakan publik dan persepsi masyarakat. Hasil penelitian menunjukkan dominannya sentimen negatif, kritik, dan kekhawatiran masyarakat terhadap kenaikan tarif PPN yang memperparah kesenjangan pendapatan dan belanja sehingga hanya menambah beban masyarakat. Namun sentimen positif mendukung kenaikan tarif PPN karena mempercepat pemerataan pembangunan ekonomi nasional.  
Co-Authors AA Sudharmawan, AA Abdi Ilahi, Pyar Abdul Latip, Abdul Alkautsar, Muslim Anggraeni, Windi Ariesti Apriliya Nuraini, Raden Putri Ardiani, Kamila Syifa Arifah Nursadrina, Raisya Asri Mulyani Bekti, Surya Garian Cahyan, Yayan Dea Nurmastin Novianti Dede Hendrik Dede Hendrik Dendi Ramdani Dewi Tresnawati Dinar Rahayu Dinar Rahayu Diqy Fakhrun Shiddieq Eri Satria Evi Puspita Fakhrun Shiddieq, Diqy Fatimah, Nyinyi Ferdian Imawan Ghaida Farisya Hasbi S, Muhamad Indri Tri Julianto Insani, Aura Krisnawanti Kusmiati, Eti Lusiana Nur Safitri Marchella, Amanda Mega Silvia Moch. Rizky Cahyadiputra Muslim Alkautsar Nava Gia Ginasta Nurhasan, Rohimat Permatasari, Rd Intan Puspita, Evi Putri Sukmana, Reinta Rahma Dianti, Ahrami Rahmawati . Ramdan, Galih Muhammad Ridian Gusdiana Ridwan Fauzi, Muhamad Ridwan Setiawan Ridwan Setiawan Riyad Sabilul Muminin Rizkia, Agnia Suci Rohanudin, Muhammad Sabda Ilahi, Perceka Sabrina, Siti Sarah Salamah, Susi Salamatuddaroen, Intan Salman Fariz SALSABILA, ANNISA Shiddied, Diqy Fahrun Shiddieq , Diqy Fakhrun Shiddieq, Diqy Fakhrun Siti Nurhasanah Suci Lestari Surya Garian Bekti Susilawati , Wati Syinta Almaiddah Taofiqurrohman, Hendra Utami, Wulan Sri Wati Susilawati Wildan Hidayatul Hamdi Wufron Wufron Yaman Suryaman, Yaman