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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 Ekonomi Manajemen Sistem Informasi Jurnal E-Bis: Ekonomi Bisnis Jurnal Akuntansi dan Keuangan ARBITRASE: JOURNAL OF ECONOMICS AND ACCOUNTING International Journal of Management Science and Information Technology (IJMSIT) 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 Aktiva: Journal Of Accountancy and Management Journal of Knowledge Management Jurnal Pengabdian Masyarakat El-Mal: Jurnal Kajian Ekonomi & Bisnis Islam
Fikri Fahru Roji
Universitas Garut
Agriculture, Biological Sciences & Forestry Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Mathematics Social Sciences Other

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Topic Modeling in Thesis Titles of Students from the Faculty of Economics Universitas Garut Using Latent Dirichlet Allocation Modeling Fikri Fahru Roji; Dinar Rahayu; Riyad Sabilul Muminin; Dendi Ramdani; Dede Hendrik
RISTEC : Research in Information Systems and Technology Vol 4, No 1 (2023): Riset Sistem dan Teknologi Informasi
Publisher : Institut Pendidikan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31980/ristec.v4i1.3380

Abstract

In higher education, the completion of a thesis within a 1-year timeframe is a prerequisite for graduation. The selection of a thesis topic is influenced by personal interest, the expertise of the thesis supervisor, and data availability. This research is designed to analyze the thesis topics of Economics Faculty students at Garut University using the Latent Dirichlet Allocation (LDA) Modeling method. Utilizing quantitative and qualitative approaches, this research applies the concept of big data with techniques such as Data Crawling, Data Preprocessing, and Text Mining. The research successfully conducted topic modeling using the LDA method. The analysis showed that topic modeling with the LDA algorithm resulted in seven common thesis topics used in the students' thesis titles. With this, the research contributes to the understanding and efficacy in the determination of students' thesis topics. It is hoped that the results of this research can be utilized to assist in the efficient completion of theses. Keywords: Topic Analysis; Topic Modeling; Thesis Title; Latent Dirichlet Allocation; LDA
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
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
Prediksi Harga Saham Telkom Menggunakan Prophet: Analisis Pengaruh Sentimen Publik Terhadap Kehadiran Starlink: Telkom Stock Price Prediction Using Prophet: Analysis of the Effect of Public Sentiment on the Presence of Starlink Taofiqurrohman, Hendra; Wufron, Wufron; Roji, Fikri Fahru
MALCOM: Indonesian Journal of Machine Learning and Computer Science Vol. 5 No. 2 (2025): MALCOM April 2025
Publisher : Institut Riset dan Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57152/malcom.v5i2.1796

Abstract

Fluktuasi harga saham menjadi tantangan signifikan bagi investor dan perusahaan karena dipengaruhi oleh berbagai faktor, termasuk sentimen publik di media sosial. Sebagian besar model prediksi tradisional hanya mengandalkan data historis sehingga kurang mampu menangkap dinamika eksternal yang memengaruhi harga saham. Penelitian ini bertujuan untuk memprediksi harga saham PT Telkom Indonesia Tbk (TLKM) dengan mengintegrasikan sentimen publik terkait kehadiran Starlink sebagai variabel eksternal pada model Prophet. Data sentimen diperoleh dari Twitter dengan algoritma Valence Aware Dictionary and Sentiment Reasoner (VADER), sementara data harga saham diambil dari Yahoo Finance untuk periode Mei hingga Oktober 2024. Hasil penelitian menunjukkan bahwa integrasi sentimen publik meningkatkan akurasi prediksi, dengan nilai Mean Absolute Percentage Error (MAPE) sebesar 2,927%, Mean Squared Error (MSE) sebesar 12102.43, dan Root Mean Square Error (RMSE) sebesar 110.01. Sentimen positif, seperti pada 27 Oktober 2024 dengan compound score 0.5106, menghasilkan prediksi sebesar 3030.75 dibandingkan harga aktual 2910.0. Sebaliknya, sentimen negatif pada 20 September 2024 dengan compound score sebesar -0.3613 menurunkan prediksi menjadi 3137.48 dibandingkan harga aktual 3150.0. Penelitian ini memberikan wawasan tambahan tentang dampak opini publik terhadap harga saham dan merekomendasikan perluasan sumber data, integrasi variabel eksternal yang lain, serta penggunaan metode deep learning untuk meningkatkan akurasi prediksi di masa depan.
Strategi bersaing live streaming Tiktok dengan pendekatan SOAR dan Porter Five Forces pada Brand Kuliterian Silvia, Mega; Shiddied, Diqy Fahrun; Roji, Fikri Fahru
Journal of Management and Digital Business Vol. 5 No. 1 (2025): Journal of Management and Digital Business
Publisher : Nur Science Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53088/jmdb.v5i1.1478

Abstract

Kuliterian is one of the leather fashion industry players that is facing stiff competition in utilizing TikTok live streaming as a marketing strategy. The development of digital technology and the increase in TikTok users provides new opportunities and challenges for Kuliterian in attracting and retaining an audience, as well as competing with other, more established brands. The main objective of this research is to develop a competitive strategy based on live streaming on TikTok to increase Kuliterian’s competitiveness. This research uses a qualitative descriptive method with a SOAR and Porter’s Five Forces analysis approach. The research results show that Kuliterian needs to optimize content creativity, collaborate with influencers, and utilize TikTok analytical data to increase interaction with consumers. The resulting strategy includes product differentiation, technological innovation, loyalty program development, and brand strengthening. By integrating strategies based on internal potential and competitive analysis, this research provides new insight for Kuliterian in maximizing the potential of TikTok live streaming to increase its competitiveness in the digital fashion market.
Co-Authors AA Sudharmawan, AA Abdi Ilahi, Pyar Abdul Latip, Abdul Almaiddah, Syinta Anggraeni, Windi Ariesti Apriliya Nuraini, Raden Putri Arifah Nursadrina, Raisya Asri Mulyani Bekti, Surya Garian Dede Hendrik Dendi Ramdani Dewi Tresnawati Dinar Rahayu Dinar Rahayu Diqy Fakhrun Shiddieq Eri Satria Fakhrun Shiddieq, Diqy Fatimah, Nyinyi Ferdian Imawan Ghaida Farisya Hasbi S, Muhamad Husni Muharam Ihsanuddin Hasbi Al-ghifari Indri Tri Julianto Insani, Aura Intan Salamatuddaroen Kamila Syifa Ardiani Krisnawanti Kusmiati, Eti Lusiana Nur Safitri Marchella, Amanda Mega Silvia Moch. Rizky Cahyadiputra Muhammad Exsel Al Syiamudawan Muslim Al Kautsar Muslim Alkautsar Nava Gia Ginasta Novi Fauziah Novianti, Dea Nurmastin Nur Afni Hasna Anisya Nurhasan, Rohimat Permatasari, Rd Intan Puspita, Evi Putri Sukmana, Reinta Rahayu, Dinar Rahma Dianti, Ahrami Rahmawati . Ramdan, Galih Muhammad Rendi Eka Herlinton Ridian Gusdiana Ridwan Fauzi, Muhamad Ridwan Setiawan Ridwan Setiawan Rizkia, Agnia Suci Rohanudin, Muhammad Rohimat Nurhasan Sabda Ilahi, Perceka Sabilul Muminin, Riyad Sabrina, Siti Sarah Salamah, Susi Salman Fariz SALSABILA, ANNISA Shiddied, Diqy Fahrun Shiddieq , Diqy Fakhrun Shiddieq, Diqy Fakhrun Siti Nurhasanah Sri Meri Kurniawati Suci Lestari Taofiqurrohman, Hendra Wati Susilawati Wati Susilawati, Wati Wildan Hidayatul Hamdi Wufron Wufron Wulan Sri Utami Yaman Suryaman Yayan Cahyan