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All Journal J-Dinamika: Jurnal Pengabdian Kepada Masyarakat JATI (Jurnal Mahasiswa Teknik Informatika) Dinasti International Journal of Economics, Finance & Accounting (DIJEFA) Journal Of Information System And Artificial Intelligence INOVTEK Polbeng - Seri Informatika
Fauzan Rozi, Anief
Unknown Affiliation
Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering

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Pelatihan Sistem Informasi Kepegawaian di SMK Ma’arif 1 Temon, Kulon Progo, Daerah Istimewa Yogyakarta Sidiq Purnomo, Agus; Fauzan Rozi, Anief
J-Dinamika : Jurnal Pengabdian Masyarakat Vol 9 No 1 (2024): April
Publisher : Politeknik Negeri Jember

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

Abstract

SMK Ma’arif 1 Temon merupakan salah satu Sekolah Menengah Kejuruan swasta yang berlokasi di JL. Raya Wates Purworejo, RT/RW : 27/13, Dusun Kaliwangan, Desa Temon Wetan, Kec. Temon, Kab. Kulon Progo, Prov. D.I. Yogyakarta. Sekolah sebenarnya sudah memiliki resource dan salah satu keahlian di bidang Teknologi Informasi (TI) yaitu Rekayasa Perangkat Lunak,  tetapi sekolah ini belum memiliki Sistem Informasi Kepegawaian (SIMPEG) dan selama ini masih dilakukan secara manual maupun menggunakan aplikasi Micrososft Excel. Kegiatan pengabdian dilakukan dilakukan selama 8 bulan dengan pembuatan SIMPEG, pembuatan user guide, pelatihan dan pendampingan mitra. Hasil yang dicapai mempermudah bagian kepagawaian dalam melakukan rekapitulasi pegawai, profil pegawai, jenjang karir, penilaian kinerja, dan beban kerja pegawai.
IMPLEMENTASI CONVUTIONAL NEURAL NETWORK DALAM MENENTUKAN TINGKAT KEMATANGAN MENTIMUN DAN TOMAT BERDASARKAN WARNA KULIT Maya Kinanti Putri, Alifah; Fauzan Rozi, Anief
JATI (Jurnal Mahasiswa Teknik Informatika) Vol. 8 No. 5 (2024): JATI Vol. 8 No. 5
Publisher : Institut Teknologi Nasional Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36040/jati.v8i5.11076

Abstract

Penentuan tingkat kematangan mentimun dan tomat sangat penting untuk memastikan kualitas produk yang sampai ke konsumen. proses ini sering dilakukan secara manual, yang cenderung kurang akurat dan memakan waktu lama. Keterbatasan ini dapat menyebabkan distribusi buah yang belum matang atau busuk, yang pada akhirnya berdampak pada kerugian bagi petani dan distributor serta menurunkan kepuasan konsumen. Dalam era pertanian modern, diperlukan solusi yang lebih efisien dan akurat untuk mengatasi masalah ini. Penelitian ini bertujuan untuk mengembangkan model berbasis Convolutional Neural Network (CNN) yang dapat mengklasifikasikan kematangan mentimun dan tomat berdasarkan warna kulitnya. Dengan menggunakan dataset yang terdiri dari 2779 citra dan pembagian menjadi empat kelas (mentimun matang, mentimun busuk, tomat matang, dan tomat busuk), penelitian ini mengimplementasikan model CNN dalam MATLAB. Hasil penelitian menunjukkan bahwa model CNN dengan optimizer Adam mampu mencapai akurasi hingga 97% dan nilai loss terendah 3%. Solusi ini diharapkan dapat membantu petani dan distributor dalam menentukan kematangan buah secara lebih cepat dan akurat, mengurangi kerugian, dan meningkatkan kualitas produk yang diterima oleh konsumen.
Sistem Pendukung Keputusan Penentuan Calon Penerima Bantuan Program Pedagang Menggunakan Metode Evaluation Based On Distance From Average Solution Harasi, Alhamdhani; Fauzan Rozi, Anief
Journal Of Information System And Artificial Intelligence Vol. 4 No. 2 (2024): Vol. 4 No. 2 (2024): Journal of Information System and Artificial Intelligence
Publisher : Universitas Mercu Buana Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26486/jisai.v4i2.183

Abstract

Improving the welfare of the community is also very important because it cannot be separated from the economic aspect of the community being given a trigger by the government in the form of social assistance in the form of funds with certain objectives, for example for the benefit of traders, in creating community welfare. Of course, the government has done this, but policies regarding the provision of assistance still have to be monitored, criticized, evaluated, and developed. The services provided still include social norms to determine the process of distributing services for the merchant assistance program. In the current problem, namely regarding decision making in determining the recipients of the merchant program assistance, because currently the Dompet Duafa Institution is still determining the recipient of assistance manually. A decision support system or Decision Support System (DSS) is a system that is able to provide capabilities in terms of problem solving and communicating for a problem with semi-structured and unstructured conditions though. The basic principle of the Evaluation based on Distance from Average Solution (EDAS) method is to use two distance measures, namely Positive Distance from Average (PDA) and Negative Distance from Average (NDA). The alternative that has the highest PDA value and the lowest NDA value will be the best alternative.
Marketing Innovation, Digital Marketing and Competitive Advantage as Determination of MSMEs Performance Nuvriasari, Audita; As’ari, Hasim; Fauzan Rozi, Anief
Dinasti International Journal of Economics, Finance & Accounting Vol. 5 No. 5 (2024): Dinasti International Journal of Economics, Finance & Accounting (November - De
Publisher : Dinasti Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/dijefa.v5i5.3472

Abstract

Small and medium-sized enterprises (MSMEs) have significant potential to enhance the well-being of individuals by reducing poverty, promoting income equality, and serving as a source of foreign exchange for the nation. Despite their significance, MSMEs commonly encounter challenges like innovation, technology utilization, and competition while building their business, all of which can influence their performance. This study aims to investigate how marketing innovation, digital marketing, and competitive advantage influence MSMEs performance in Yogyakarta. The study targets MSMEs owners and managers involved in marketing and business operations, with a sample size of 456 to ensure representative and valid results. To test the hypotheses, the researchers used SmartPLS version 4. The findings reveal a significant relationship between competitive advantage and MSMEs business performance. Digital marketing also shows a significant effect on business performance. Conversely, marketing innovation does not significantly impact MSMEs performance.
Sentiment Analysis of Telegram Application User Satisfaction on Google Play Store Using Naïve Bayes, Logistic Regression and SVM Putri, Adellia Septiani; Fauzan Rozi, Anief
INOVTEK Polbeng - Seri Informatika Vol. 10 No. 2 (2025): Juli
Publisher : P3M Politeknik Negeri Bengkalis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35314/r6cyb589

Abstract

Sentiment analysis is a technique for finding out how people feel about something and putting the polarity of text into groups of documents or words so that they can be labeled neutral, positive, or negative. We will use the Naïve Bayes algorithm, logistic regression, and SVM to conduct sentiment analysis on how happy Telegram app users are. The purpose of this study is to see what people who use the app think and group their thoughts into three groups: neutral, positive, and negative. The three methods' results will be compared to see which is most accurate for this study. The results of this sentiment analysis show that many users are dissatisfied with the verification code they need to register or log in to their accounts. This makes it difficult for new users to get the verification code because the app itself sends it. The SVM approach has an accuracy value of 89.73%, which means it is more accurate in this study. The Naïve Bayes approach is accurate by 75.61%, while the logistic regression method is accurate by 87.49%.
Co-Authors As’ari, Hasim Audita Nuvriasari Harasi, Alhamdhani Maya Kinanti Putri, Alifah Putri, Adellia Septiani Sidiq Purnomo, Agus