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All Journal International Journal of Advances in Applied Sciences Indatu Journal of Management and Accounting Jurnal Solusi Masyarakat Dikara
Hidayatullah, Ferdy
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Humanities Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Engineering Environmental Science Materials Science & Nanotechnology Mathematics Physics Social Sciences Other

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Optimizing renewable energy potential in island areas based on analytical hierarchy process Hasibuan, Arnawan; Sayuti, Muhammad; Siregar, Widyana Verawaty; Hidayatullah, Ferdy; Daud, Muhammad; Azmi, Azmi; Azman, Azman; Almunadiansyah, Rizky; Roid, Fahrian
International Journal of Advances in Applied Sciences Vol 14, No 1: March 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijaas.v14.i1.pp218-226

Abstract

The decreasing availability of fossil fuels and their contribution to environmental degradation and emissions of harmful gases has encouraged a shift to renewable energy sources. This change aims to produce electricity without using fossil fuels. Banyak Islands, a new tourist destination in Aceh Singkil, Indonesia, is experiencing an increase in visitors, increasing electricity demand currently supplied by diesel power plants. Therefore, this research aims to examine the possibilities of wind and solar power plants and assess their energy output. The four factors used to determine the potential of renewable energy are technology, economics, environment, and social politics, with 13 sub-criteria. Analytical hierarchy process techniques prioritize potential alternative energy sources such as wind and solar power facilities. Research findings show that environmental criteria have a higher value (0.3455) than financial criteria (0.2861), next is technological criteria (0.1734), then socio-political criteria (0.1603). Based on the results of the requirements and sub-requirements, wind power generation is the most effective and efficient alternative energy used in the Banyak Islands region (0.549), followed by solar power generation (0.451). This data shows that the area is prone to medium to high wind speeds, specifically in geographic locations facing the Indian Ocean which is located offshore.
Credit Card Fraud Detection Through Explainable Artificial Intelligence for Managerial Oversight Muksalmina, Muksalmina; Syahyana, Ahmad; Hidayatullah, Ferdy; Idroes, Ghalieb Mutig; Noviandy, Teuku Rizky
Indatu Journal of Management and Accounting Vol. 3 No. 1 (2025): June 2025
Publisher : Heca Sentra Analitika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60084/ijma.v3i1.301

Abstract

As digital payment systems grow in volume and complexity, credit card fraud continues to be a significant threat to financial institutions. While machine learning (ML) has emerged as a powerful tool for detecting fraudulent activity, its adoption in managerial settings is hindered by a lack of transparency and interpretability. This study examines how explainable artificial intelligence (XAI) can enhance managerial oversight in the deployment of ML based fraud detection systems. Using a publicly available, simulated dataset of credit card transactions, we developed and evaluated four ML models: Logistic Regression, Naïve Bayes, Decision Tree, and Random Forest. Performance was assessed using standard metrics, including accuracy, precision, recall, and F1-score. The Random Forest model demonstrated superior classification performance but also presented significant interpretability challenges due to its complexity. To fill this gap, we applied SHAP (SHapley Additive exPlanations), a leading method for explaining the outputs of the Random Forest model. SHAP analysis revealed that transaction amount and merchant category were the most influential features in determining the risk of fraud. SHAP plots were used to make these insights accessible to non-technical stakeholders. The findings underscore the importance of XAI in promoting transparency, facilitating regulatory compliance, and fostering trust in AI-driven decisions. This study offers practical guidance for managers, auditors, and policymakers seeking to integrate explainable ML tools into financial risk management processes, ensuring that technological advancements are balanced with accountability and informed human oversight.
Pelatihan Pembuatan Sabun Cuci Piring Bagi Ibu Rumah Tangga Di Gampong Dayah Teungku Kabupaten Aceh Utara Sikumbang, Lady Shintia; Deni, Deni; A., Hendra; Munandar, Aris; Hidayatullah, Ferdy
Jurnal Solusi Masyarakat Dikara Vol 5, No 1 (2025): April 2025
Publisher : Yayasan Lembaga Riset dan Inovasi Dikara

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Abstract

Gampong Dayah Teungku, Kecamatan Syamtalira Aron, Kabupaten Aceh Utara, memiliki potensi ekonomi yang strategis karena letaknya yang dekat dengan pasar tradisional dan berada di jalur utama antar desa. Posisi ini membuka peluang besar bagi ibu rumah tangga untuk mengembangkan usaha kecil berbasis produk rumah tangga. Pemberdayaan perempuan, khususnya ibu rumah tangga, melalui pelatihan keterampilan merupakan langkah penting dalam meningkatkan kemandirian ekonomi keluarga. Pelatihan ini bertujuan untuk mengurangi kebutuhan anggaran rumah tangga dengan memproduksi sabun cuci piring sendiri, mengingat kebutuhan masyarakat terhadap produk ini cukup tinggi namun harga di pasaran cukup mahal, sekaligus membuka peluang usaha baru. Metode yang digunakan dalam pelatihan ini adalah ceramah dan praktik pembuatan sabun secara langsung. Pembahasan kegiatan dijelaskan melalui gagasan keadaan partisipasi untuk menjelaskan kebijakan dan keterampilan masyarakat. Hasil akhir dari kegiatan pengabdian kepada masyarakat ini adalah ibu rumah tangga tidak hanya memperoleh keterampilan baru, tetapi juga berkesempatan menciptakan usaha rumahan yang potensial. Kata Kunci: Pemberdayaan, Pelatihan, Ibu Rumah Tangga, Gampong Dayah Teungku, Sabun Cuci Piring
Membangun Minat Investasi Melalui Pelatihan Simulasi Pasar Modal bagi Mahasiswa di Kantor IDX Banda Aceh Muksalmina, Muksalmina; Hidayatullah, Ferdy; Syahyana, Ahmad
Jurnal Solusi Masyarakat Dikara Vol 5, No 2 (2025): Agustus 2025
Publisher : Yayasan Lembaga Riset dan Inovasi Dikara

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Abstract

Kegiatan pengabdian kepada masyarakat ini bertujuan untuk meningkatkan literasi keuangan dan pemahaman mahasiswa Universitas Ubudiyah Indonesia terhadap investasi saham melalui pelatihan berbasis simulasi pasar modal. Selama tiga hari, peserta diberikan pemahaman komprehensif mengenai konsep dasar investasi, strategi diversifikasi portofolio, serta manajemen risiko. Metode yang digunakan meliputi penyampaian materi interaktif, diskusi kelompok, serta kompetisi simulasi investasi dengan data pasar riil. Hasil pelatihan menunjukkan peningkatan signifikan dalam pengetahuan dan keterampilan peserta. Skor rata-rata post-test meningkat sebesar 40% dibanding pre-test. Simulasi investasi yang dilakukan peserta juga mencerminkan pemahaman yang baik terhadap strategi portofolio, di mana total return portofolio mencapai +1,4% meskipun terdapat saham berkinerja negatif. Selain itu, 75% peserta menyatakan minat untuk membuka rekening saham riil, dan 90% merasa puas dengan metode pelatihan yang diberikan. Kegiatan ini tidak hanya berhasil membangun pemahaman dasar tentang investasi, tetapi juga menumbuhkan minat serta kepercayaan diri mahasiswa untuk terlibat langsung dalam pasar modal. Sebagai tindak lanjut, dibentuk rencana pembentukan Kelompok Studi Pasar Modal (KSPM) serta kolaborasi berkelanjutan dengan BEI Banda Aceh. Dengan pendekatan yang sistematis dan aplikatif, kegiatan ini diharapkan menjadi fondasi dalam membangun budaya literasi keuangan yang berkelanjutan di lingkungan kampus.
Co-Authors A., Hendra Aris Munandar Arnawan Hasibuan Azman, Azman AZMI, AZMI Deni Deni Idroes, Ghalieb Mutig M Sayuti Muhammad Daud Rizky Almunadiansyah Roid, Fahrian RR. Ella Evrita Hestiandari Sikumbang, Lady Shintia Siregar, Widyana Verawaty Sugeng, Santoso Syahyana, Ahmad Teuku Rizky Noviandy