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All Journal Journal of Indonesian Tourism, Hospitality and Recreation Business Innovation and Entrepreneurship Journal Jurnal Wacana Ekonomi International Journal of Management Science and Information Technology (IJMSIT) Jurnal Algoritma RISTEC : Research in Information Systems and Technology Jurnal Media Pengabdian Komunikasi

Riyad Sabilul Muminin

Universitas Garut

Author-ID : 7173143

Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Health Professions Languange, Linguistic, Communication & Media Social Sciences Other

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PENGEMBANGAN APLIKASI PANDUAN MENDAKI GUNUNG MENGGUNAKAN METODOLOGI SISTEM MULTIMEDIA LUTHER-SUTOPO Riyad Sabilul Mukminin; Dewi Tresnawati
Jurnal Algoritma Vol 12 No 2 (2015): Jurnal Algoritma
Publisher : Institut Teknologi Garut

Pada setiap kegiatan pada dasarnya memiliki cara dan aturan. Begitu pun pada sebuah kegiatan mendaki gunung. Ilmu dasar dalam sebuah pendakian sudah sepantasnya diketahui dan dipahami oleh setiap pendaki. Dengan mengikuti perkembangan trend teknologi mobile saat ini, memungkinkan dikembangkannya sebuah aplikasi panduan mendaki gunung yang bisa digunakan di mana saja dan kapan saja. Android merupakan salah satu teknologi berbasis mobile yang dapat digunakan di berbagai perangkat mobile. Metode pengembangan sistem Multimedia oleh Luther-Sutopo merupakan salah satu metode pengembangan sistem yang digunakan oleh pengembang Aplikasi Multimedia. Dengan menggunakan pengembangan Multimedia diharapkan pengguna tertarik untuk mempelajari ilmu pendakian. Penggunaan android sebagai platform dasar mengacu pada perkembangan ponsel pintar yang pesat, di mana beberapa ponsel pintar memungkinkan untuk dibawa untuk berkegiatan di alam bebas. Aplikasi Panduan Mendaki Gunung ini menyediakan fasilitas berupa materi materi dasar mendaki gunung, beberapa perhitungan untuk persiapan pelaksanaan, dan fasilitas penyimpanan data pendaki dan barang.

Sistem Informasi Aset Laboratorium Fakultas Ekonomi Universitas Garut Berbasis Web Ridwan Setiawan; Asri Mulyani; Rima Ardianti; Riyad Sabilul Muminin; Anggi Wandani
Jurnal Algoritma Vol 19 No 1 (2022): Jurnal Algoritma
Publisher : Institut Teknologi Garut

Aset di fakultas ekonomi Universitas Garut setiap tahun akan semakin bertambah sesuai dengan jumlah mahasiswa yang setiap tahunnya bertambah. Pengelolaan aset ini yang dilakukan oleh staf laboratorium komputer yang kini masih menggunakan Microsoft Office sehingga rentan terjadinya kehilangan data serta dianggap kurang efektif dan efisien. Tujuan penelitian ini yaitu membuat sebuah sistem yang diharapkan dapat menunjang dalam proses pengelolaan data. Metodologi yang hendak digunakan dalam riset ini yaitu Rational Unified Process (RUP), yang dimana tahapannya meliputi Inception, Elaboration, serta Construction. Pemodelan yang digunakan ialah Unified Modelling Language (UML) dengan pengujian blackbox testing. Pembuatan sistem informasi ini memakai bahasa pemrograman Hypertext Preprocessor (PHP), Cascading Style Sheets (CSS), Hyper Text Markup Language (HTML). Hasil dari riset ini berupa sistem informasi aset laboratorium fakultas ekonomi berbasis website yang diharapkan bisa memudahkan staf laboratorium mengelola aset serta memudahkan dalam pengelolaan aset dari mulai pengelolaan lokasi aset, keadaan aset, status aset serta pembuatan laporan aset sehingga pengelolaan aset jadi lebih efisien serta efektif.

Implementation of the Support Vector Regression Algorithm And Particle Swarm Optimization In Sales Forecasting Mrs Rahmawati; Riyad Sabilul Muminin; Rizi Ramdhani; Irdam Denni
RISTEC : Research in Information Systems and Technology Vol 1, No 1 (2020): Implementation of Manager Performance Decision Support System Using the Simple A
Publisher : Institut Pendidikan Indonesia

Abstract: Sales forecasting is an important element in planning business strategies that have the possibility of happening in the future. But how to improve the accuracy of the current forecasting process is still a big question mark for companies. This study uses the Support Vector Regression algorithm because it is one of the forecasting techniques that is categorized as good compared to other techniques. The Particle Swarm Optimization algorithm is integrated for attribute optimization so that forecasting accuracy can be better. Based on the test results, it was found that SVR-PSO produced an RMSE value of 9.40.Keywords: sales forecasting; support vector regression; particle swarm optimization.Abstrak: Peramalan penjualan merupakan elemen penting dalam perencanaan strategi bisnis yang memiliki kemungkinan terjadi di masa depan. Tetapi bagaimana meningkatkan ketepatan proses peramalan saat ini masih menjadi tanda tanya besar bagi perusahaan. Penelitian ini menggunakan algoritme Support Vector Regression karena merupakan salah satu teknik peramalan yang dikategorikan baik dibandingkan dengan teknik yang lainnya. Algoritme Particle Swarm Optimization diintegrasikan untuk optimasi atribut agar akurasi peramalan dapat lebih baik. Berdasarkan hasil pengujian, didapatkan SVR-PSO menghasilkan nilai RMSE 9.40.Kata kunci : peramalan penjualan; support vector regression; particle swarm optimization.

Proporsi Kelompok dan Lokasi KKN Ideal dengan Aplikasi Muminin, Riyad Sabilul; Ramdani, Dendi; Gusdiana, Ridian; Hendrawan, Heri
Jurnal Media Pengabdian Komunikasi Vol 4, No 1 (2024): Jurnal Media Pengabdian Komunikasi
Publisher : Universitas Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52434/medikom.v4i1.294

Abstract The Community Service Program (KKN) is an integral part of higher education that aims to provide practical experience for students in applying knowledge and skills in the community. Garut University has developed a KKN management application to improve the efficiency and effectiveness of KKN implementation. This application includes features for setting group proportions based on faculty, study program, and gender, as well as selecting strategic KKN locations based on community needs and potential. This study aims to evaluate the effectiveness of the application in achieving ideal group proportions and appropriate KKN location selection. Using a quantitative method, data was collected from 314 application users, including students and supervising lecturers. The data collection instrument was an online questionnaire distributed through the web-based KKN management application, and the collected data were analyzed using descriptive statistics. The results showed that the Garut University KKN management application effectively assisted in achieving the desired group proportions and KKN location selection that suits community needs. The group proportion setting feature helps ensure diversity in the KKN team, while the KKN location selection feature helps identify locations that need intervention and have the potential to provide valuable learning experiences for students. Additionally, the application was found to simplify the KKN process and improve the overall quality of the KKN program. Keywords: Group proportion; location selection; management application. AbstrakProgram Kuliah Kerja Nyata (KKN) merupakan bagian integral dari pendidikan tinggi yang bertujuan untuk memberikan pengalaman praktis kepada mahasiswa dalam menerapkan ilmu pengetahuan dan keterampilan di masyarakat. Universitas Garut telah mengembangkan aplikasi manajemen KKN untuk meningkatkan efisiensi dan efektivitas pelaksanaan KKN, termasuk fitur pengaturan proporsi kelompok berdasarkan fakultas, program studi, dan jenis kelamin, serta pemilihan lokasi KKN yang strategis berdasarkan kebutuhan dan potensi masyarakat. Penelitian ini bertujuan untuk mengevaluasi efektivitas aplikasi tersebut dalam mencapai proporsi kelompok yang ideal dan pemilihan lokasi KKN yang tepat. Penelitian ini menggunakan metode kuantitatif dengan mengumpulkan data dari 314 pengguna aplikasi, termasuk mahasiswa dan dosen pembimbing lapangan. Instrumen pengumpulan data berupa kuesioner daring yang disebarkan melalui aplikasi manajemen KKN berbasis web, dan data yang terkumpul dianalisis menggunakan statistik deskriptif. Hasil pengabdian ini menunjukkan bahwa aplikasi manajemenKKN Universitas Garut efektif dalam membantu mencapai proporsi kelompok yang diinginkan dan pemilihan lokasi KKN yang sesuai dengan kebutuhan masyarakat. Fitur pengaturan proporsi kelompok membantu memastikan keragaman dalam tim KKN, sementara fitur pemilihan lokasi KKN membantu mengidentifikasi lokasi yang membutuhkan intervensi dan memiliki potensi untuk memberikan pengalaman belajar yang berharga bagi mahasiswa. Selain itu, aplikasi ini juga terbukti memudahkan proses KKN dan meningkatkan kualitas program KKN secara keseluruhan.Kata-kata kunci: Aplikasi manajemen; proporsi kelompok; pemilihan lokasi.

Key Factors in Fashion Purchase Decisions on Social Media Nurhasan, Rohimat; Munawi, Ahmad Syarif; Wufron, Wufron; Muminin, Riyad Sabilul
Jurnal Wacana Ekonomi Vol 23 No 3 (2024): Jurnal Wacana Ekonomi
Publisher : Fakultas Ekonomi Universitas Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52434/jwe.v23i3.41642

TikTok is an application that provides entertainment content that is in great demand. Over time, the use of TikTok has changed; it was originally only used as an entertainment venue, and now TikTok is also used as a business medium. Therefore, various business activities are increasingly found on this social media platform. This research aims to determine the factors that drive decisions to purchase fashion products on TikTok social media, as well as to identify the most dominant factors in driving decisions to purchase fashion products on this platform. The research methods used are descriptive analysis and exploratory factor analysis. The data collection technique was carried out through distributing questionnaires. The sampling used in this research was nonprobability sampling with a total of 100 respondents. The analysis technique used is factor analysis with the help of the SPSS analysis tool. Based on the research results, it was found that the factors that drive decisions to purchase fashion products on TikTok social media include interest, need, price, product, and trust. Apart from that, the most dominant factor in driving decisions to purchase fashion products on TikTok social media is interest, which has the highest eigenvalue compared to other factors.

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

In higher education, the completion of a thesis within a 1 -year timeframe is a prerequisite for graduation. The selection of a thesistopic is influenced by personal interest, the expertiseof the thesis supervisor, and data availability. This research is designed to analyzethe 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, theresearch 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.

Design and Development of a Web-Based Community Service Information System at Garut University Sabilul Muminin, Riyad; Ramdani, Dendi; Fahru Roji, Fikri
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

The Community Service Program (KKN) is a mandatory activity in universities aimed at enhancing students' competencies in teamwork, leadership, and soft skills partnerships with the community. However, the implementation of KKN often faces challenges such as data inconsistencies, complex registration processes, and difficulties in activity management. This research aims to design and build a website-based KKN information system at Garut University to address these issues. By utilizing website technology, this system is expected to improve the efficiency and effectiveness of KKN implementation.This research employs the Unified Software Development Process (USDP) methodology, which is iterative and adaptive. The stages in USDP, namely inception, elaboration, construction, and transition, are followed systematically. In the inception phase, a needs analysis and feasibility study are conducted to determine the project scope. The elaboration phase produces the system architecture design and functional requirements specifications. The construction phase focuses on implementing the system according to the design that has been made. Finally, the transition phase includes testing, deployment, and system maintenance.The result of this research is a complete and functional website-based KKN information system. The system provides features such as online registration, group management, activity reporting, monitoring, and evaluation. System testing shows that this system is able to meet user needs and provide significant benefits in the implementation of KKN at Garut University. This system can also be an example for other universities that want to improve the quality of KKN implementation through the use of information technology.

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 Fahru Roji, Fikri; Ariesti Anggraeni, Windi; Sabilul Muminin, Riyad; Ramdani, Dendi; Cahyan, Yayan
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

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.

Design of an Internal Quality Assurance System Based on Smart System to Improve the Quality of Higher Education at Universitas Garut Ramdani, Dendi; Winda Suwandi, Deden; Fauzan Wakila, Yasya; Sabilul Muminin, Riyad
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

Garut University has a Quality Assurance Institute (LPM) responsible for overseeing the quality assurance cycle, but it still uses manual archiving, leading to data accumulation and slow performance. This research aims to develop an internal quality assurance system based on a smart system to improve the quality of higher education. The research method uses a waterfall approach with stages of data collection, system analysis, application design, and implementation. The system is designed to effectively distribute and store LPM data and information. The research results show that this information system can help improve the quality of higher education by providing quick and accurate information related to data standards and audits.

Competitive Advantages of Garut Coffee MSMEs Based on Knowledge Sharing Rohimat Nurhasan; Ahmad Syarif Munawi; Riyad Sabilul Muminin; Yayang Iman Nur Ramdhan
Jurnal Inovasi Bisnis dan Kewirausahaan Vol 7 No 2 (2025): Business Innovation and Entrepreneurship Journal (May)
Publisher : Entrepreneurship Faculty, Universitas Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35899/biej.v6i2.714

Small and Medium Enterprises Coffee shops need to increase their competitiveness to survive and develop. The knowledge and information disseminated can be technical, non-technical, or both. The research method used is quantitative with a verification type of research. Research the population of coffee shops in Garut Regency. The research sample was 47 coffee shops taken randomly with 50 respondents consisting of managers. Research data was collected by distributing questionnaires to coffee shop owners or managers. Research data was analyzed using PLS-SEM analysis. The research results show that knowledge sharing positively affects competitive advantage. Knowledge sharing enables organizations to: Increase innovation and creativity, Improve decision-making, Increase efficiency and productivity, Improve product and service quality, and Strengthen cooperation and collaboration.

Co-Authors Adiatma, Dani Ahmad Syarif Munawi Anggi Wandani Anggraeni, Windi Ariesti Asri Mulyani Dede Hendrik Dendi Ramdani Dewi Tresnawati Fauzan Wakila, Yasya Fikri Fahru Roji Hendrawan, Heri Irdam Denni Mrs Rahmawati Munawi, Ahmad Syarif Nurhasan, Rohimat Rahayu, Dinar Ridian Gusdiana Ridwan Setiawan Rima Ardianti Rizi Ramdhani Tanesa Putri Arvira Winda Suwandi, Deden Wufron Wufron Yayan Cahyan Yayang Iman Nur Ramdhan

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