Garuda - Garba Rujukan Digital

IMPLEMENTASI METODE TOPSIS UNTUK SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN GURU TERBAIK DI SMK NEGERI 1 SUNGAI RUMBAI Weri Sirait; Arief Rahmadian Aswin; Cyntia Lasmi Andesti; Nur Azizah
IndraTech Vol 3, No 1 (2022): Mei 2022
Publisher : STMIK Indragiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56005/jit.v3i1.94

Tujuan penelitian ini adalah untuk membantu SMK Negeri 1 Sungai Rumbai dalam memudahkan pihak sekolah dan tim manajemen dalam menentukan guru terbaik dengan mengimplementasikan metode Technigue For Order Preference By Similarity To Ideal Solution (TOPSIS ) untuk menggali kreatifiatas kerja dan meningkatkan kualitas kerja guru di SMK Negeri 1 Sungai Rumbai. Masalah yang ditemui pada penelitian ini adalah sulitnya mengambil keputusan dalam pemilihan guru terbaik, informasi yang dihasilkan dalam penentuan pemilihan guru terbaik tidak efektif dan efisien dan proses penilaian pemilihan guru terbaik masih belum terkomputerisasi. Metode yang digunakan dalam penelitian ini yaitu Technigue For Order Preference by Similarity to Ideal Solution (TOPSIS) untuk penilaian berdasarkan kriteria-kriteria dan sistem yang akan dibangun merupakan aplikasi berbasis web yang menggunakan PHP sebagai bahasa pemrograman, MYSQL sebagai basis data. Hasil yang diinginkan dalam penelitian ini yaitu menghasilkan perangkingan guru terbaik berdasarkan hasil perhitungan metode TOPSIS.Kata Kunci : Sistem Pendukung Keputusan, Pemilihan Guru Terbaik, TOPSIS,WEB

Implementasi Algoritma C4.5 dalam Menentukan Tingkat Kepuasan Pelanggan di Kadai Kopi Lasi Nur Azizah; Cyntia Lasmi Andesti; Weri Sirait
IndraTech Vol 3, No 2 (2022): Oktober 2022
Publisher : STMIK Indragiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56005/jit.v3i2.103

Tujuan penelitian ini adalah untuk membantu pemilik Kadai Kopi Lasi dalam mengetahui kepuasan pelanggan guna meningkatkan daya saing ditengah perkembangan cafe coffe dimasa sekarang. Metode yang digunakan adalah Algoritma C4.5. Tahapan dalam sistem kepuasan dengan metode algoritma C4.5 yaitu pengambilan data pelanggan dan data atribut dari kuisioner, perhitungan nilai entropy dan gain, serta hasil kepuasan. Demi keberlangsungan dari usaha tersebut, perlu ditinjau hal-hal apa yang membuat konsumen puas dan tidak puas. Data yang digunakan adalah jenis metode sampling dengan menggunakan kuesioner dengan skala linker yang terdiri dari 4 (Puas), 3 (Cukup Puas), 2 (Tidak Puas) dan 1 (Sangat Tidak Puas). Proses uji penelitian ini menggunakan software RapidMinner untuk membuat pohon keputusan. Dari hasil analisis diharapkan dapat meningkatkan kinerja Kadai Kopi Lasi dalam memberikan pelayanan kepada pelanggan Kadai Kopi Lasi agar menjadi lebih baik.Kata Kunci : Pelanggan, Data Mining, Algoritma C4.5

Prediction of the Human Development Index for Equitable Development in West Sumatra Province Using the C4.5 Algorithm Sirait, Weri; Azizah, Nur
Sinkron : jurnal dan penelitian teknik informatika Vol. 7 No. 4 (2023): Article Research Volume 7 Issue 4, October 2023
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v8i4.12968

Unequal development in Indonesia can be seen from the Human Development Index. The Human Development Index is a tool used to measure the attainment of the quality of life of a region or country and as material for economic policy on quality of life. It contains components of health level, education level and welfare level. In 2022, West Sumatra Province achieved the 9th highest Human Development Index in Indonesia, namely 73.26, with this figure the West Sumatra Province Human Development Index is above the national average. However, there are still regencies/cities in West Sumatra Province that have achievements below the national average. This factor causes the development conditions in West Sumatra Province to be uneven. Uneven human development conditions will make it difficult for the government to improve Human Resources (HR). In this research, the C45 Data Mining Algorithm was implemented to predict the Regency/City Human Development Index in West Sumatra Province. As is the method of the Central Bureau of Statistics in measuring the Human Development Index, the variables used from the Human Development Index indicators are Life Expectancy, Years of School Expectation, Average Length of Schooling, and Per Capita Expenditures. The Central Statistics Agency data used in this research covers all regencies/cities in West Sumatra during the period 2018-2022. Range levels are grouped into three groups, namely, low, medium, and high. Based on testing using RapidMiner software with the Cross Validation operator, an accuracy value of 86.61% was obtained.

Peran Teknologi Informasi di Era Society 5.0 di Lingkungan Mesjid Jabal Nur SPN Padang Besi Kota Padang Aisyah, Hesty; Sirait, Weri; Firdian, Fadil; Azizah, Nur; Andesti, Cyntia Lasmi
Jurnal Pengabdian Masyarakat dan Riset Pendidikan Vol. 2 No. 1 (2023): Jurnal Pengabdian Masyarakata dan Riset Pendidikan Volume 2 Nomor 1 Tahun 2023
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jerkin.v2i1.136

The development of information system technology is growing rapidly so that it has an impact on trends that have emerged from the industrial revolution 4.0 and society 5.0. Higher education, one of which is an organization that contributes to educational activities in Indonesia, must be able to adapt to a number of emerging trends, including the trend of Society 5.0. Education which has also penetrated into the Jabal Nur Mosque environment in Padang City SPN needs to understand the roles and strategies that need to be assisted by the Higher Education in dealing with the era of society 5.0, by providing studies on the concepts and processes of society 5.0. From the results of observations and activities, it is obtained strategies that can be implemented by tertiary institutions, especially by increasing productivity through good cooperation between academics and mosque environmental parties to be able to support the role of information technology development through information technology management skills training for participants who are students within the Jabal Mosque environment Nur Padang City

Model Regresi Linear untuk Efisiensi Stok dan Prediksi Kebutuhan Bawang Putih Kupas UMKM Weri Sirait; Nur Azizah; Rahmat Hidayat
Jurnal Teknologi Terpadu Vol 11 No 2 (2025): Desember, 2025
Publisher : LPPM STT Terpadu Nurul Fikri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54914/jtt.v11i2.2560

The demand for peeled garlic at the Gilingan Bakso Barokah business tends to fluctuate and be difficult to predict. Inaccurate daily stock determination often leads to problems, especially when peeled garlic stock is excessive while demand is low. Peeled garlic will yellow, rot, and degrade in quality, while customers expect it to be fresh. To overcome this problem, this study aims to predict daily peeled garlic requirements using a simple linear regression model. The data used are daily sales records for peeled garlic from January to December 2024 at Gilingan Bakso Barokah. The linear regression model was built using time as the predictor variable to estimate daily sales trends. The results show that the model is capable of providing reasonably accurate estimates, with a Mean Squared Error (MSE) of 8.93 and a validation score of 9.03. The prediction model projects the peeled garlic requirement over the next 30 days at around 16 kg per day. These findings can help business owners manage peeled garlic stock more efficiently, minimize waste, and maintain customer satisfaction. This research provides an initial, stable, and reliable predictive model for the Gilingan Bakso Barokah business, while simultaneously demonstrating the effectiveness of simple linear regression for the daily management of fresh raw material stocks, with an accuracy level of MSE ≈ 9.

Optimalisasi Kompetensi Mahasiswa Bisnis Digital Melalui Kunjungan Dan Kolaborasi Dengan RLA Creative & Digital Marketing Agency Nur Azizah; Zulfitri Yani; Siti Azzahra
AMMA : Jurnal Pengabdian Masyarakat Vol. 4 No. 6 : Juli (2025): AMMA : Jurnal Pengabdian Masyarakat
Publisher : CV. Multi Kreasi Media

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

This community service activity aims to enhance the practical competencies of students in the D4 Digital Business Study Program through a field visit to RLA Creative & Digital Marketing Agency. Designed to bridge classroom learning with the real-world demands of the digital industry particularly in digital marketing this initiative provides students with hands-on experiences through direct observation, interactive discussions, and presentations by industry professionals. The activity offers contextual and practical insights into digital marketing strategies, content management, and brand development. The outcomes indicate an improved understanding among students of the dynamics within the creative digital industry, while also paving the way for sustainable collaborations, such as internship programs, industry-based projects, and curriculum development aligned with market needs. This initiative serves as a strategic effort to foster synergy between higher education institutions and the industry in producing competent graduates who are well-prepared to meet the challenges of the digital era.

Optimalisasi Kompetensi Mahasiswa Bisnis Digital Melalui Kunjungan Dan Kolaborasi Dengan RLA Creative & Digital Marketing Agency Nur Azizah; Zulfitri Yani; Siti Azzahra
AMMA : Jurnal Pengabdian Masyarakat Vol. 4 No. 6 : Juli (2025): AMMA : Jurnal Pengabdian Masyarakat
Publisher : CV. Multi Kreasi Media

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

This community service activity aims to enhance the practical competencies of students in the D4 Digital Business Study Program through a field visit to RLA Creative & Digital Marketing Agency. Designed to bridge classroom learning with the real-world demands of the digital industry particularly in digital marketing this initiative provides students with hands-on experiences through direct observation, interactive discussions, and presentations by industry professionals. The activity offers contextual and practical insights into digital marketing strategies, content management, and brand development. The outcomes indicate an improved understanding among students of the dynamics within the creative digital industry, while also paving the way for sustainable collaborations, such as internship programs, industry-based projects, and curriculum development aligned with market needs. This initiative serves as a strategic effort to foster synergy between higher education institutions and the industry in producing competent graduates who are well-prepared to meet the challenges of the digital era.

Determinants of Consumer Intention to Adopt Digital Payment in Culinary MSMEs Elisa Daniati Edison; Mira Aprila; Nur Azizah
Jurnal Studi Manajemen dan Bisnis Vol 13, No 1 (2026): Juni
Publisher : Trunojoyo University of Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/jsmb.v13i1.34968

The growing development of digital payment platforms has transformed the way consumers conduct transactions and has further accelerated the digital transformation of MSMEs. Although QRIS has been widely adopted across Indonesia, empirical evidence regarding the psychological factors that shape consumers’ intentions to utilize this payment method, particularly within the culinary MSME sector, remains limited. This research investigates the effects of perceived usefulness and perceived ease of use on consumers’ intention to adopt QRIS, while also assessing the mediating role of attitude in this association. The study involved 150 respondents who had previously used QRIS when making transactions at culinary MSMEs in Padang, Indonesia. Using a quantitative research design, the proposed model was analyzed through PLS-SEM. The results demonstrate that perceptions of usefulness and ease of operation both play a significant role in shaping positive attitudes toward QRIS usage. Perceived ease of use emerged as the strongest antecedent of attitude. In addition, attitude was found to significantly influence behavioral intention, suggesting that positive evaluations of QRIS play an important role in encouraging future usage. Perceived usefulness directly enhances consumers’ intention to use QRIS; however, the influence of perceived ease of use on behavioral intention was not found to be statistically significant. Further analysis reveals that attitude fully mediates the association between perceived ease of use and behavioral intention and partially mediates the linkage between perceived usefulness and behavioral intention. These findings suggest that consumers’ adoption decisions are not solely driven by functional benefits or technological simplicity but are largely influenced by the positive attitudes developed through their interaction with the payment system. This study enriches the digital payment and technology adoption literature by demonstrating the importance of attitudinal mechanisms in explaining QRIS adoption behavior within developing country MSME contexts.

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