Claim Missing Document
Check
Articles

Found 15 Documents
Search

Utilization of Digital Technology for Enhancing Creative Performance in the Resilient Community of Strategic Partners of Sembangin Service Cooperative Metawork Community: Pemanfaatan Teknologi Digital untuk Peningkatan Kinerja Kreatif pada Komunitas Tangguh Mitra Strategis Koperasi Jasa Sembangin Community Metawork Aggry, Aggry Saputra; As Saidah, Muthiah; Rahmad, Abdul; Zulfachmi, Zulfachmi; Zulkipli, Zulkipli; Rahayu, Vita
Dinamisia : Jurnal Pengabdian Kepada Masyarakat Vol. 9 No. 2 (2025): Dinamisia: Jurnal Pengabdian Kepada Masyarakat
Publisher : Universitas Lancang Kuning

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31849/dinamisia.v9i2.23282

Abstract

Perkumpulan Keluarga Berencana Indonesia (PKBI) is a non-governmental organization that leads the Family Planning movement in Indonesia, focusing on families as pillars of health, education, and welfare. PKBI Riau Islands region supports resilient communities, including the Sehati Business Group Community, Peer Educators, and Community Cadres, through the Sembangin Community Metawork Service Cooperative for economic empowerment. Several challenges faced by the community cadres include administrative efficiency, creative design, and file management, necessitating the use of digital technology to address these issues. The results of this community service program show an improvement in the community’s skills in using computers, office applications, Canva design, and cloud management. The community cadres are now able to manage administration and files more efficiently, as well as produce more creative design materials
Analisis Efektivitas Website Sistem Informasi Kearsipan Dinamis Terintegrasi (Srikandi) Menggunakan COBIT 5 Domain DSS dan MEA (Studi Kasus: Dinas Perpustakaan dan Kearsipan Provinsi Kepulauan Riau) Wanhendra Wanhendra; Abdul Rahmad; Yafri; Ade Winarni; Zulkipli; Muthiah As Saidah; Vita Rahayu
Jurnal Penelitian dan Pengembangan Teknologi Informasi dan Komunikasi Vol 13 No 2 (2024): Jurnal Penelitian dan Pengembangan Teknologi Informasi dan Komunikasi
Publisher : LPPM STMIK Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58761/jurtikstmikbandung.v13.i2.91104

Abstract

Aplikasi SRIKANDI diciptakan untuk kelancaran dalam persyaratan dan kearsipan secara elektronik yang efektif dalam penyelenggaraan pemerintahan. Dengan adanya aplikasi SRIKANDI pembuatan surat menyurat dan arsip elektronik secara online dapat terintegrasi dan terekam pada pusat data nasional. Dengan adanya aplikasi sistem informasi kearsipan dinamis terintegrasi di Pemerintah Provinsi Kepulauan Riau, mampu meningkatkan pemahaman kapasitas dan keterampilan Aparatur Sipil Negara pada sistem pemerintahan berbasis elektronik (SPBE). Domain dari COBIT versi 5 yang digunakan sebagai acuan adalah DSS (Delivery, Service, and Support) dan MEA (Monitor, Evaluate, and Assess). Domain DSS mempunyai fokus pada pengiriman data, layanan, dan dukungan yang diberikan untuk sistem informasi yang efektif dan efisien. Domain DSS memiliki enam proses, yaitu: DSS01 Manage operation: Mengelola operasi, DSS02 Manage service request and incidents : mengelola layanan permintaan dan kasus,  DSS03 Manage problems: Mengelola permasalahan, DSS04 Manage continuity: mengelola kelancaran, DSS05 Manage security service: Mengelola layanan keamanan  dan DSS06 Manage business process controls: mengelola kontrol proses bisnis. Fokus dari Domain Deliver, Service and Support (DSS) lebih ditekankan ke aspek penyampaian teknologi informasi terutama di Aplikasi Sistem Informasi Kearsipan Dinamis Terintegrasi (SRIKANDI) di Pemerintah Provinsi Kepulauan Riau. Hal ini dikarenakan Dinas Perpustakaan dan Kearsipan Provinsi Kepulauan Riau telah mengimplementasikan surat menyurat melalui aplikasi SRIKANDI sehingga domain ini diperuntukkan untuk mengukur efisiensi dan efektivitas dari aplikasi SRIKANDI di Pemerintah Provinsi Kepulauan Riau dan nantinya akan mengeluarkan rekomendasi untuk optimasi proses service delivery-nya.
Analisis Komparatif Model Random Forest dan XGBoost Berdasarkan Kinerja AUC Pada Fraud Detection Muthiah As Saidah; Aggry Saputra
Techno.Com Vol. 25 No. 2 (2026): May 2026
Publisher : LPPM Universitas Dian Nuswantoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62411/tc.v25i2.16035

Abstract

Fraud detection menjadi salah satu tantangan penting dalam sistem informasi modern, khususnya pada transaksi finansial dan digital. Berbagai penelitian telah menunjukkan performa tinggi model Random Forest dan XGBoost, namun sebagian besar evaluasi masih dilakukan pada dataset tertentu dan terbatas pada perbandingan deskriptif. Penelitian ini bertujuan melakukan analisis statistik komparatif lintas studi terhadap performa model Random Forest dan XGBoost berdasarkan nilai Area Under Curve (AUC) pada berbagai domain fraud detection. Penelitian menggunakan data sekunder dari 40 studi terdahulu yang terdiri dari 20 model Random Forest dan 20 model XGBoost. Analisis dilakukan menggunakan statistik deskriptif, uji asumsi, independent samples t-test, Mann-Whitney U test, dan effect size menggunakan Cohen’s d. Hasil penelitian menunjukkan bahwa XGBoost memiliki rata-rata AUC yang sedikit lebih tinggi dibandingkan Random Forest. Namun, hasil uji statistik dan effect size menunjukkan bahwa perbedaan tersebut tidak signifikan secara statistik maupun praktis. Selain itu, Random Forest cenderung menunjukkan performa yang lebih stabil, sedangkan XGBoost lebih sensitif terhadap karakteristik dataset dan konfigurasi model. Penelitian ini menunjukkan bahwa evaluasi performa machine learning lintas studi tidak cukup hanya berdasarkan nilai rata-rata AUC, tetapi juga perlu mempertimbangkan signifikansi statistik, effect size, stabilitas performa, dan heterogenitas antar studi. Kata Kunci – AUC; Fraud Detection; Machine Learning; Random Forest; XGBoost
Systematic Literature Review: Analisis Pendekatan Matematis dalam Sistem Pendukung Keputusan Muthiah As Saidah; Aggry Saputra; Dwi Nurul Huda; Zulfachmi Zulfachmi; Zulkipli Zulkipli; Muhammad Qolbi Shobri
Jurnal Bangkit Indonesia Vol 15 No 1 (2026): Bulan Juni 2026
Publisher : LPPM Sekolah Tinggi Teknologi Indonesia Tanjung Pinang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52771/bangkitindonesia.v15i1.486

Abstract

This study aims to analyze mathematical approaches used in Decision Support Systems (DSS) through a Systematic Literature Review (SLR) method. A total of 41 scientific articles published between 2021 and 2026 were selected based on predefined inclusion criteria. The SLR process was conducted through several stages, including research question formulation, literature search, study selection, data extraction, and synthesis of findings. The results indicate that mathematical approaches in DSS can be classified into four main categories: Multi-Criteria Decision Making (MCDM), probabilistic, optimization, and hybrid approaches. Based on the distribution of articles, hybrid approaches are the most dominant with 19 articles, followed by MCDM with 10 articles, probabilistic with 7 articles, and optimization with 5 articles. The dominance of hybrid approaches reflects a paradigm shift from single-method usage toward the integration of multiple mathematical approaches to enhance system flexibility and accuracy. MCDM approaches remain widely used in structured multi-criteria problems, while probabilistic approaches play an important role in handling uncertainty and dynamic systems. Meanwhile, optimization approaches are applied to determine optimal solutions based on objective functions and constraints. This study contributes to systematically mapping and classifying mathematical approaches in DSS, as well as identifying research trends and future directions. The findings are expected to serve as a reference for developing more adaptive and integrated decision support systems.
Optimization of an Automatic Water Disposal System Based on Internet of Things to Support the Smart Energy Concept Zulkipli; Dwi Nurul Huda; Muthiah As Saidah; Zulfachmi; Aggry Saputra
Communications in Science and Technology Vol 10 No 2 (2025)
Publisher : Komunitas Ilmuwan dan Profesional Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21924/cst.10.2.2025.1809

Abstract

The management of an Internet of Things (IoT)-based water system powered by solar energy faces significant challenges in achieving high power efficiency and long-term thermal reliability. The objective of this study is to identify the most optimal hardware configuration that balances specific energy efficiency (ηspecific) with minimizing thermal energy dissipation in a DC water pumping system. The methodology employed is a comparative experiment that tests six different scenarios, varying the topology of the voltage regulator (Linear Regulator and Buck Converter) and the pump actuator, with a total of 30 pumping cycles at a fixed water volume of 30 litres. The processing of data was undertaken through the utilization of descriptive statistical analysis and Standard Deviation (SD) on the parameters of Power, Temperature, and Water Discharge to measure stability. The findings indicated a critical trade-off between peak energy efficiency and operational stability. Scenario 4 (12V Relay and Mini 560 Buck Converter) emerged as the most optimal configuration, recording the highest Specific Energy Efficiency (1.94 Ws/L). This superiority is evidenced by its excellent thermal stability (36.88°C), which is comparable to that of low-power configurations. In contrast, although Scenario 6 (Synchronous Buck, 51 mm Pump) demonstrated the highest operational stability (Power SD=0.02111), it compromises pumping speed. It is concluded that the implementation of the Mini 560 Buck Converter is imperative in achieving a balance between energy savings and minimizing thermal dissipation, thereby rendering it an ideal selection for solar-powered Smart Energy systems.