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All Journal Sinkron : Jurnal dan Penelitian Teknik Informatika SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan SOSCIED Jurnal: International Journal of Engineering and Computer Science Applications (IJECSA) Journal of Artificial Intelligence and Digital Business
Anjis Sapto Nugroho
STMIK AKI Pati
Agriculture, Biological Sciences & Forestry Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Medicine & Pharmacology Nursing Public Health Social Sciences Other

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Comparison of RNN and LSTM Algorithms Based on Fasttext Embeddings in Sentiment Analysis on the Merdeka Mengajar Platform Nugroho, Anjis Sapto; Nugroho, Kristiawan
Sinkron : jurnal dan penelitian teknik informatika Vol. 9 No. 1 (2025): Research Article, January 2025
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v9i1.14296

Abstract

As of 2024, the Merdeka Mengajar Platform has been used by more than 3.5 million teachers across Indonesia. This number represents an increase of more than 3.85% compared to the previous academic year, which was 3.37 million. However, the utilization of this application has not yet reached the expected target number of users, so an analysis is needed to identify the factors causing this. This research uses Recurrent Neural Network (RNN) and Long Short-Term Memory (LSTM) to perform sentiment analysis on reviews of the Merdeka Mengajar platform. RNN and LSTM are chosen for their advantages in handling sequential data, particularly in text processing for sentiment analysis. This research aims to address the challenges in understanding the positive or negative sentiments of users on the platform. The research methodology includes important stages such as data cleaning, preprocessing, and transforming text into numerical vectors using FastText embedding. Next, RNN and LSTM models are applied to predict sentiment based on patterns in the text data. The research results show that the LSTM model is capable of capturing long-term relationships in sequential data with an expected accuracy of 93.58%. Meanwhile, the RNN model yields a lower accuracy of 91.70%. The LSTM model is more effective in classifying sentiment with high accuracy, especially in text data with complex temporal contexts. This research contributes to understanding user perceptions and feedback regarding the Merdeka Mengajar platform, which is expected to provide insights for platform developers to enhance service quality.
Analysist of User Satisfaction of the High School Student Admissions Website using the User Experience Questionnaire Method Prabowo, Ardian Adi; Fathoni, Ahmad; Nugroho, Anjis Sapto; Nugroho, Kristiawan; Farooq, Omar
International Journal of Engineering and Computer Science Applications (IJECSA) Vol. 4 No. 1 (2025): March 2025
Publisher : Universitas Bumigora Mataram-Lombok

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/ijecsa.v4i1.4841

Abstract

In the era of digitalization of public services, web-based student registration systems have become an important instrument in the education sector. The Website for New Student Admission (PPDB) of Senior High Schools (SMA) and Vocational High Schools (SMK) in Central Java Province has been implemented as a single platform for new student registration, but the main problem identified is the lack of a comprehensive evaluation of the level of user satisfaction with the quality of interaction experience with this platform, especially after the emergence of several complaints on the official PPDB social media regarding the system flow, services, and website appearance. The purpose of this study is to measure and analyze the level of user satisfaction with the PPDB website of SMA/SMK in Central Java Province using the User Experience Questionnaire (UEQ) approach which covers six aspects of user experience. This research method is descriptive quantitative with a survey approach using a standardized UEQ instrument consisting of 26 question items, involving 30 respondents of class X students of SMA Negeri 1 Karanganyar Demak selected using a 10% sampling technique from the population. The results of this study are indicate that the efficiency criteria obtained the highest score of 1.125, while the novelty criteria received the lowest score of 0.792, with the benchmark comparison diagram indicating a position below average (poor) in the criteria of attractiveness (1.061), clarity (1.092), accuracy (0.983), and stimulation (0.992), while in the criteria of efficiency and novelty, they are in a position above average (quite good). The implication of these findings underlines the need for further development in the aspects of visual appeal, clarity of information, accuracy of functions, and interaction stimulation to improve the overall quality of the user experience of the PPDB website.
Implementasi Algoritma Deep Learning untuk Analisis Sentimen Pengguna Platform Pendidikan Nugroho, Anjis Sapto; Prasetyo, Eko; Priyanto, Adhi; Puryono, Daniel Alfa
SOSCIED Vol 8 No 2 (2025): SOSCIED - November 2025
Publisher : LPPM Politeknik Saint Paul Sorong

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32531/jsoscied.v8i2.999

Abstract

More than 3.5 million Indonesian educators had used the Merdeka Mengajar Platform by 2024. Comparing this figure to the 3.37 million from the previous academic year, there has been an increase of almost 3.85%. However, an investigation is required to determine the reasons why the application's use has not yet achieved the anticipated goal number of users. This study does sentiment analysis on evaluations of the Merdeka Mengajar platform using Recurrent Neural Networks (RNN) and Long Short-Term Memory (LSTM). The benefits of RNN and LSTM in processing sequential data, especially in text processing for sentiment analysis, led to their selection. The purpose of this study is to solve the difficulties in determining if users' sentiments on the platform are favorable or negative. Important steps in the research technique include preprocessing, data cleaning, and employing FastText embedding to convert text into numerical vectors. Then, using patterns in the text data, RNN and LSTM models are used to forecast sentiment. The study's findings demonstrate that the LSTM model can, with an estimated accuracy of 93.58%, identify long-term associations in sequential data. The RNN model, on the other hand, produces a lesser accuracy of 91.70%. Particularly in text data with intricate temporal circumstances, the LSTM model performs better at accurately classifying sentiment. By better understanding customer opinions and input on the Merdeka Mengajar platform, this study helps platform developers improve the quality of their services.
Pelatihan desain promosi produk untuk pengembangan UMKM Kelapa Kopyor di Desa Bakalan Priyanto, Adhi; Nugroho, Anjis Sapto; Prasetyo, Eko
SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan Vol 10, No 1 (2026): February (In Progress)
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/jpmb.v10i1.37560

Abstract

AbstrakUsaha Mikro Kecil dan Menengah (UMKM) memiliki peran strategis dalam perekonomian Indonesia, salah satunya melalui pengembangan komoditas kelapa kopyor yang bernilai ekonomi tinggi. Di Desa Bakalan, Kecamatan Dukuhseti, Kabupaten Pati, kelapa kopyor menjadi sumber mata pencaharian masyarakat, namun perkembangannya masih terkendala pada aspek promosi dan pemasaran. Pelaku UMKM di Desa Bakalan ini masih menggunakan sistem pemasaran secara manual, kurangnya pelatihan desain produk pada proses produksi, serta kurangnya strategi untuk meningkatkan daya saing produk di pasar-pasar lokal. Berdasarkan permasalahan tersebut, perguruan tinggi kami menyelenggarakan kegiatan Pengabdian kepada masyarakat yang dilaksanakan dengan tujuan untuk meningkatkan kreativitas dan kemampuan desain produk para pelaku UMKM di Desa Bakalan dengan memanfaatkan canva dengan berbagai fitur yang mudah digunakan serta teknik desain grafis dasar. Canva sebagai aplikasi desain grafis berbasis daring, menawarkan kemudahan bagi pengguna tanpa latar belakang desain untuk membuat media promosi seperti poster, katalog, dan konten digital. Penelitian ini merupakan studi pre-eksperimental dengan desain one-group pretest-posttest yang bertujuan untuk menguji efektivitas pelatihan desain menggunakan Canva bagi 20 pelaku UMKM kelapa kopyor di Desa Bakalan. Data dikumpulkan melalui kuesioner terstruktur dan penilaian portofolio desain yang telah divalidasi oleh ahli melalui prosedur expert judgment. Indikator efektivitas diukur menggunakan analisis statistik non-parametrik Wilcoxon Signed Rank Test untuk melihat signifikansi peningkatan aspek kognitif, serta Normalized Gain Score (N-Gain) untuk mengategorikan tingkat keberhasilan intervensi. Kata kunci: UMKM; kelapa kopyor; canva; desain. AbstractMicro, Small and Medium Enterprises (MSMEs) have a strategic role in the Indonesian economy, one of which is through the development of the high-value kopyor coconut commodity. In Bakalan Village, Pati Regency, kopyor coconut is a source of livelihood for the community, but its development is still constrained by promotion and marketing aspects. MSME players in Bakalan Village still use a manual marketing system, lack of product design training in the production process, and lack of strategies to increase product competitiveness in local markets. Based on these problems, we as students organize community service activities which are carried out with the aim of increasing the creativity and product design skills of MSME players in Bakalan Village by utilizing Canva with various easy-to-use features and basic graphic design techniques. Canva as an online-based graphic design application, offers convenience for users without a design background to create promotional media such as posters, catalogs, and digital content. This study employed a pre-experimental design, specifically the one-group pretest-posttest approach, to evaluate the efficacy of Canva-based design training among 20 MSME entrepreneurs specializing in kopyor coconuts in Bakalan Village. Data collection involved the administration of structured questionnaires and the assessment of design portfolios, both of which underwent rigorous expert judgment for validation. To determine the program's effectiveness, the Wilcoxon Signed-Rank Test, a non-parametric statistical analysis, was utilized to measure significant improvements in cognitive attributes, while the Normalized Gain Score (N-Gain) was applied to categorize the overall success rate of the intervention. Keywords: MSMEs; kopyor coconut; canva; design.
Evaluasi Infrastruktur Jaringan Komputer untuk Mendukung Efisiensi Komunikasi Data pada Sistem Point of Sales Industri Ritel Modern Nugroho, Anjis Sapto
RIGGS: Journal of Artificial Intelligence and Digital Business Vol. 5 No. 1 (2026): Februari - April
Publisher : Prodi Bisnis Digital Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/riggs.v5i1.6293

Abstract

Infrastruktur jaringan komputer yang andal merupakan determinan fundamental dalam mengoptimalkan efisiensi operasional sistem Point of Sales (POS) pada lanskap industri ritel modern yang menuntut sinkronisasi data presisi. Penelitian ini bertujuan untuk mengevaluasi secara komprehensif efektivitas arsitektur jaringan lokal (LAN) yang diimplementasikan pada Minimarket IDM Semarang dalam memfasilitasi komunikasi data kritikal antara unit server dan terminal client. Metode penelitian yang diterapkan adalah deskriptif kualitatif dengan teknik pengumpulan data melalui observasi partisipatif terstruktur, wawancara mendalam dengan praktisi IT, serta studi literatur terkait arsitektur jaringan. Hasil evaluasi teknis menunjukkan bahwa penggunaan topologi star dengan media transmisi kabel Unshielded Twisted Pair (UTP) Kategori 5 memberikan tingkat reliabilitas dan isolasi kesalahan yang sangat baik bagi transaksi kasir harian. Namun, analisis lapangan dari penelitian ini mengidentifikasi beberapa kerentanan signifikan, seperti potensi single point of failure pada perangkat pusat, risiko gangguan fisik pada jalur pengabelan, serta ancaman keamanan sistem akibat penggunaan perangkat penyimpanan eksternal yang tidak terkontrol. Oleh karena itu, penelitian ini merekomendasikan perlunya audit perangkat keras secara periodik, migrasi ke media transmisi dengan spesifikasi yang lebih tinggi, serta penguatan protokol keamanan logis guna menjamin integritas dan ketersediaan data yang berkelanjutan bagi sistem POS. Optimalisasi infrastruktur ini tidak hanya krusial bagi stabilitas layanan pelanggan dan efisiensi manajemen data pada sektor bisnis waralaba, tetapi juga sebagai strategi preventif terhadap anomali komunikasi data yang dapat merugikan perusahaan secara ekonomi.
Co-Authors Adhi Priyanto Ahmad Fathoni Daniel Alfa Puryono Dian Kristiawan Nugroho Eko Prasetyo Farooq, Omar Prabowo, Ardian Adi