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All Journal Journal of Advanced in Information and Industrial Technology (JAIIT) Infotek : Jurnal Informatika dan Teknologi Best : Journal of Applied Electrical, Science and Technology Jurnal Teknik Informatika
Moh. Muhtarom
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Physics

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Solo Culinary Recommendation System Use Web-Based Collaborative Filtering Method Ekovinh, Zariel Ardian; Moh. Muhtarom; Muhammad, Nibras Faiq
Journal of Advances in Information and Industrial Technology Vol. 6 No. 2 (2024): Nov
Publisher : LPPM Telkom University Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52435/jaiit.v6i2.578

Abstract

The development of a culinary recommendation system for the city of Solo through the utilization of collaborative filtering techniques is outlined in this investigation. This approach was selected based on its capacity to enhance user preferences through comparison with individuals sharing similar values. The dataset utilized in this study comprises feedback from users and evaluations of restaurants obtained from Google Maps. Collaborative filtering methodologies, particularly those centered on users, are employed to construct recommendation frameworks that offer personalized and pertinent advice to users. The initial phase of system development involved aggregating data from Google rankings and implementing a recommendation model. Findings from this research indicate that the system effectively delivers precise culinary suggestions, thereby facilitating users in discovering suitable dining options in Solo. The anticipated outcome of implementing this system is to bolster the promotion of local culinary specialties, enhance the culinary tourism experience, and contribute positively to the local economy of Solo. This study offers insights into the application of collaborative filtering and underscores the significance of recommendation technologies in enhancing the quality of culinary experiences and user satisfaction.
Rancang Bangun Sistem Informasi Bimbingan Konseling Di SMK Batik 1 Surakarta Berbasis Web Punjung Kurniawan, Alfisal; Moh. Muhtarom; Ichsan Pradana, Afu
JEKIN - Jurnal Teknik Informatika Vol. 4 No. 3 (2024)
Publisher : Yayasan Rahmatan Fidunya Wal Akhirah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58794/jekin.v4i3.1134

Abstract

SMK Batik 1 Surakarta memiliki sebuah misi untuk mengembangkan potensi siswa secara optimal, menghasilkan lulusan yang kompeten, kreatif, dan mandiri, serta menjalin kerjasama dengan berbagai pihak untuk meningkatkan mutu pendidikan serta memanajemen siswa sehingga siswa dapat di didik dengan teratur dan tertib. Dalam melacak perkembangan siswa bagian bimbingan konseling mengalami masalah yaitu kehilangan data, data mudah diakses, memerlukan biaya operasional yang tinggi, pembuatan laporan, dan informasi yang lambat. Rancang bangun sistem informasi bimbingan konseling bertujuan mempermudah dalam proses pengaksessan informasi siswa yang memiliki catatan pelanggaran serta memiliki beberapa fitur yaitu kelola data siswa, kelola data guru, membuat laporan, integrasi antar pengguna, pencatatan home visit, dan pencatatan surat panggilan. Merancang sistem informasi menggunakan metode waterfall, analisa kelemahan sistem menggunakan metode PIECES. Rancang bangun sistem informasi membatu dalam kegiatan yang ada di sekolah terutama bagian bimbingan konseling yang mendidik sisaw teratur dan tertib.
Design and Development of a Web-Based Employee Attendance and Payroll Information System at CV Expressa Wanda Fadillah; Hanifah Permatasari; Moh. Muhtarom
BEST Vol 7 No 2 (2025): BEST
Publisher : Universitas PGRI Adi Buana Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36456/agn6m149

Abstract

This study aims to design and build a web-based employee attendance and payroll information system at CV Expressa to overcome problems arising from manual processes, such as late salaries, data recapitulation errors, and lack of transparency. The method used is the System Development Life Cycle (SDLC) waterfall model approach, which includes needs analysis, system design, implementation using the Laravel framework and MySQL database, testing with the blackbox method, and maintenance. The results of the study show that the system built is able to automate GPS-based attendance recording and salary calculations, accelerate data recapitulation, and provide independent payslip access for employees. This system also succeeded in increasing operational efficiency and data accuracy, as well as reducing administrative workload. However, this study has limitations in the scope of implementation which is still limited to one company and does not include advanced security features such as biometric authentication and mobile applications. Further development is recommended to improve the scalability and flexibility of the system.
Perancangan Sistem Rekomendasi Pemilihan Objek Wisata Karanganyar Dengan Metode Knowledge Base Nugroho, Nur Cahyo; Moh. Muhtarom; Maulindar, Joni; Hartanti, Dwi
Infotek: Jurnal Informatika dan Teknologi Vol. 8 No. 2 (2025): Infotek : Jurnal Informatika dan Teknologi
Publisher : Fakultas Teknik Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/jit.v8i2.30503

Abstract

Karanganyar Regency has significant potential in the tourism sector, especially nature tourism. However, the abundance of destination choices often makes it difficult for tourists to determine places that match their preferences. Currently available information is general and cannot be tailored to the specific needs of each user, making the decision-making process less efficient. This research proposes a knowledge-base recommendation system designed to assist users in selecting tourist destinations in Karanganyar according to their preferences. This system utilizes five main attributes: category, location, ticket price, rating, and facilities. System development was carried out using the Waterfall method, which includes requirements analysis and system design stages. User input is processed by matching it against the tourism data knowledge base using specific rules, and similarity calculations are performed to measure the degree of resemblance between user preferences and available tourism data. Based on similarity calculation results for 10 nature tourism data points, the system successfully recommended a destination with the highest similarity value of 0.991, namely Bukit Mongkrang, which best matched the user's selected criteria. Bukit Mongkrang met the user's desired criteria, being located in Tawangmangu, classified as nature tourism, having a mid-range ticket price, a rating 0.2 higher than the user's preference, and providing key facilities sought by the user. The results of this knowledge-base recommendation system modeling can serve as a reference for developing similar systems in the tourism field.
Co-Authors Dwi Hartanti Ekovinh, Zariel Ardian Ichsan Pradana, Afu Maulindar, Joni Nibras Faiq Muhammad Nur Cahyo Nugroho Permatasari, Hanifah Punjung Kurniawan, Alfisal Wanda Fadillah