Article Per Year (5 Year)
p-Index From 2021 - 2026
1.203
P-Index
This Author published in this journals
All Journal Jurnal Teknologi Informasi dan Ilmu Komputer Li Falah: Jurnal Studi Ekonomi dan Bisnis Islam Journal Of Management Science (JMAS) Jurnal Ilmu Ekonomi dan Bisnis Islam Educator : Directory of Elementary Education Journal
Rusdi, Wahyudi
Unknown Affiliation
Arts Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Mathematics Physics Social Sciences

Published : 5 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 5 Documents
Search

 1 
KEGIATAN EKSTRAKURIKULER PRAMUKA DAN PENGARUHNYA TERHADAP KECERDASAN EMOSIONAL SISWA Dullah, Bayu Saputra; Rusdi, Wahyudi
EDUCATOR (DIRECTORY OF ELEMENTARY EDUCATION JOURNAL) Vol. 2 No. 2 (2021): EDUCATOR (DIRECTORY OF ELEMENTARY EDUCATION JOURNAL)
Publisher : RUMAH JURNAL - LP2M IAIN SULTAN AMAI GORONTALO JURUSAN PENDIDIKAN GURU MADRASAH IBTIDAIYAH (PGMI) FAKULTAS ILMU TERBIYAH DAN KEGURUAN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54045/educator.v2i2.414

Abstract

Penelitian ini merupakan penelitian kuantitatif dengan tujuan penelitian Untuk mengetahui apakah terdapat pengaruh signifikan antara Kegiatan Ekstrakurikuler Pramuka terhadap Kecerdasan Emosional siswa di SD Islam Terpadu Lukmanul Hakim Gorontalo dan untuk mengetahui seberapa besar pengaruh kegiatan ekstrakurikuler pramuka terhadap kecerdasan emosional siswa di SD Islam Terpadu Lukmanul Hakim Gorontalo. Dalam penelitian ini peneliti menggunakan angket (kuesioner) dalam mendapatkan dan mengumpulkan data. Terdapat 34 item pertanyaan dalam angket tersebut. Jumlah sampel sebanyak 32 siswa. Dari penelitian ini dapat dilihat Kecerdasan Emosional Siswa dipengaruhi oleh Kegiatan Ekstrakurikuler Pramuka, dengan persamaan regresi yang terdapat pada penelitian ini adalah Y = 30.428 + 0.507 X.. Signifikansinya teriihat dari t hitung sebesar 3.071 dan nilai t tabel (df=32-2) adalh 2.0422 sehingga t hitung > t tabel (3.071>2.0422) dan Sig < 5% (0.005 < 0.05). Melalui uji R2, dapat diketahui Kecerdasan Emosional Siswa di Sekolah Dasar Islam Terpadu Lukmanul Hakim Gorontalo dipengaruh oleh variabel Kegiatan Ekstrakurikuler Pramuka sebesar 23.9%, sedangkan sisanya 76.1% Kecerdasan Emosional Siswa ditentukan oleh faktor lain.
Building consumer trust through live streaming: A study of fashion purchase behavior Larasati, Suci; Aisyah, Mitra Riani; Habie, Riska Octavia; Rusdi, Wahyudi
Junal Ilmu Manajemen Vol 8 No 3 (2025): July: Management Science and Field
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/jmas.v8i3.704

Abstract

In recent years, live streaming has emerged as a transformative force in the digital commerce landscape, particularly within the fashion industry. This study aims to analyze the effect of live streaming on consumer purchasing behavior, with trust as a mediating variable. This research uses a quantitative approach, with data collected through questionnaires distributed to 276 respondents in Gorontalo Province, who are active consumers in purchasing fashion products through live streaming services such as Shopee Live and TikTok Live. The analysis was carried out using SmartPLS 3 software to test the validity, reliability, and structural relationships between variables. The results reveal three key findings: (1) live streaming exerts a significant and positive direct influence on purchase decisions; (2) live streaming significantly enhances consumer trust; and (3) trust itself significantly predicts purchase decisions. These findings underscore the dual function of live streaming as both a transactional and relational tool in online shopping contexts. Theoretically, the study enriches the literature by integrating real-time interactive media into trust-based consumer behavior models. Practically, the findings offer strategic insights for digital marketers and e-commerce platforms seeking to optimize live streaming as a trust-building and conversion-enhancing mechanism. These findings strengthen previous literature and emphasize the importance of interaction quality in live streaming-based digital marketing strategies. This research provides strategic implications for fashion businesses to optimize live-streaming features in building customer trust.
Perbandingan ANN, Random Forest, dan XGBoost dalam Klasifikasi Antibiotik dengan Penerapan metode Sampling Saputra Rusdi, Edy; RUSDI, EDY SAPUTRA; Siddik, A. Muh. Amil; Aris, Naimah; Ardiansyah Asrifah, Muhammad; Syahrir, Nur Hilal A.; Rangkuti, Aidawayati; Rusdi, Wahyudi
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 12 No 4: Agustus 2025
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jtiik.124

Abstract

Banyak obat potensial telah ditemukan dari produk alami laut (Marine Natural Product). Hal ini menunjukkan bahwa senyawa laut merupakan sumber penting dalam pengembangan dan penemuan obat. Meskipun banyak senyawa laut yang menunjukkan aktivitas biologis tertentu, hanya sedikit yang tercatat sebagai senyawa antibakteri. Oleh karena itu, menemukan senyawa yang berpotensi sebagai senyawa antibakteri dari organisme laut masih menjadi tantangan. Tujuan dari penelitian ini adalah untuk memanfaatkan pendekatan komputasi untuk menemukan senyawa antibakteri dari produk alami laut yang berpotensi menjadi obat. Penelitian ini berfokus pada penggunaan model Artificial Neural Network (ANN), Random Forest, dan XGBoost untuk melakukan klasifikasi berdasarkan kemiripan kimiawi antara senyawa produk alami laut di Indonesia dengan senyawa antibakteri. Untuk mengatasi ketidakseimbangan data, digunakan teknik resampling berupa SMOTE dan undersampling (US). Hasil penelitian menunjukkan bahwa akurasi XGBoost + SMOTE memiliki nilai yang paling tinggi, yaitu 98.89%, mengungguli model ANN 97.57%, Random Forest  (RF) 97.06%, serta model dengan resampling lain seperti ANN+SMOTE 98.67% dan RF + SMOTE 98.59%. Sementara itu, penerapan teknik undersampling menyebabkan penurunan akurasi secara signifikan, di mana XGBoost + US, RF + US, dan ANN + US masing-masing hanya mencapai 91.12%, 91.59%, dan 87.85%. Dari 73 senyawa biota laut, hanya senyawa yang memiliki CID 101767277 yang diprediksi sebagai senyawa yang potensial sebagai antibakteri.   Abstract Many potential drugs have been discovered from marine natural products. This suggests that marine compounds are essential in drug development and discovery. Although many marine compounds exhibit certain biological activities, only a few have been recorded as antibacterial compounds. Therefore, finding compounds with potential as antibacterial compounds from marine organisms remains a challenge. This paper aims to utilize computational approaches to discover antibacterial compounds from marine natural products that have the potential to become drugs. This research focuses on the use of Artificial Neural Network (ANN), Random Forest (RF), and XGBoost models to perform classification based on chemical similarity between compounds of marine natural products in Indonesia and antibacterial compounds. To overcome data imbalance, resampling techniques such as SMOTE and undersampling (US) were used. The results showed that the accuracy of XGBoost + SMOTE has the highest value, which is 98.89%, outperforming the ANN model 97.57%, Random Forest (RF) 97.06%, as well as models with other resampling such as ANN+SMOTE 98.67% and RF + SMOTE 98.59%. Meanwhile, the application of undersampling techniques caused a significant decrease in accuracy, where XGBoost + US, RF + US, and ANN + US only reached 91.12%, 91.59%, and 87.85%, respectively. Of the 73 marine biota compounds, only compounds that have CID 101767277 are predicted as potential antibacterial compounds.
Mosque-Based Economic Development Over a Decade with Bibliometric Review Analysis Rusdi, Wahyudi; Wahyu Firmansyah; Hajrahwati Tahir
Jurnal Ilmu Ekonomi dan Bisnis Islam Vol 5 No 2 (2023)
Publisher : Program Studi Ekonomi Syariah, FEBI UIN Datokarama Palu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24239/jiebi.v5i2.222.172-186

Abstract

This research aims to create a research map from studies conducted on mosque-based economic development. Using bibliometric analysis using Vosviewer. A total of 933 articles from 2013-2022 indexed by Scopus were used in this research. The results show a significant increase in the number of published research articles from 2013 to 2016. However, in the following years, from 2017 to 2022, there was a decrease in the number of research articles published. A very popular article is "Assessing the Economic Impact of Cultural Heritage Sites Using a Social Accounting Matrix: The Case of the Mosque-Cathedral of Cordoba," written by Campoy-Munoz, Pilar, Cardenete, M. Alejandro, and Delgado, M. Carmen. in 2017 with 32 citations and citations per year 5.33. Among researchers, Malik S has written and published the highest number of journals related to mosque empowerment, with a total of 7 research articles. Some topics that are often discussed are community-based, zakat, and infaq. Topics that are still rarely discussed include waqaf, agencies, management, COVID-19, and Islamic boarding schools.
Impact of Productive Waqf Management in Indonesia and Malaysia: Systematic Literature Nugroho, Moh Agus; Rusdi, Wahyudi; Rahman, Md Mahfujur
Li Falah: Journal of Islamic Economics and Business Vol. 7 No. 2 (2022): December 2022
Publisher : Institut Agama Islam Negeri Kendari

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31332/lifalah.v7i2.4489

Abstract

In the management of productive waqf, Indonesia and Malaysia are countries that are quite serious in dealing with waqf issues. Both countries are also predominantly Muslim, so the impact of productive waqf management is certainly very helpful for the two countries' economies. Using the Systematic Literature Review (SLR) method to describe the impact of productive waqf management in Indonesia and Malaysia. There were 75 journals studied, filtered by timeline, type, language, country, topic and participant. Ten articles that meet the criteria. SLR identified that 90% of the population are Nazhir or waqf managers, which is a very important population for the success of productive waqf management. The agricultural management sector was the most widely used by Nazhir to maximize productive waqf with a percentage of 40%. The health sector, such as hospitals and clinics, became the productive waqf management sector which Nazhir often used to maximize income with a percentage of 30%. Then in the rental housing sector with a percentage of 20% and 10% in the minimarket or retail sector and others. The SLR method has identified a management system with a profit-sharing system, and investment allocation mapping is the method used by Nazhir.
Co-Authors Aisyah, Mitra Riani Aliu, Revaldi Ardiansyah Asrifah, Muhammad Dullah, Bayu Saputra Edy Saputra Rusdi Habie, Riska Octavia Hajrahwati Tahir Larasati, Suci Moh Agus Nugroho Naimah Aris Rahman, Md Mahfujur Rangkuti, Aidawayati Saputra Rusdi, Edy Siddik, A. Muh. Amil Syahrir, Nur Hilal A. WAHYU FIRMANSYAH