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All Journal Journal of Geoscience, Engineering, Environment, and Technology U Karst JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING JEPA (Jurnal Ekonomi Pertanian dan Agribisnis) Pendas : Jurnah Ilmiah Pendidikan Dasar ABDIMAS SILIWANGI JSiI (Jurnal Sistem Informasi) Data Science: Journal of Computing and Applied Informatics JOURNAL OF SCIENCE AND SOCIAL RESEARCH Jurnal Sistem Informasi Kaputama (JSIK) Jurnal Onoma: Pendidikan, Bahasa, dan Sastra JURNAL REKAYASA Jurnal Absis : Jurnal Pendidikan Matematika dan Matematika Jambura Early Childhood Education Journal Journal of Advanced in Information and Industrial Technology (JAIIT) Jurnal Islamika Journal of Sustainable Technology and Applied Science APPLIED RESEARCH ON CIVIL ENGINEERING AND ENVIRONMENT (ARCEE) Eureka Herba Indonesia Jurnal Kesehatan STIKes IMC Bintaro Jurnal Kewarganegaraan JURNAL KESEHATAN: JURNAL ILMIAH MULTI SCIENCES Rambideun : Jurnal Pengabdian Kepada Masyarakat PROFESSIONAL HEALTH JOURNAL Tebuireng: Journal of Islamic Studies and Society International Journal of Economic, Business, Accounting, Agriculture Management and Sharia Administration (IJEBAS) INTERNATIONAL JOURNAL OF CULTURAL AND SOCIAL SCIENCE Journal of Public Health Education International Journal of Research in Vocational Studies (IJRVOCAS) Komunika: Jurnal Dakwah dan Komunikasi Abdi-Dharma INOVATIF: Jurnal Penelitian Pendidikan, Agama, dan Kebudayaan Journal Media Public Relations Solidaritas: Jurnal Pengabdian Economic Reviews Journal Jurnal Algoritma JURNAL POLI-TEKNOLOGI Sahid Development Journal: Jurnal Pengabdian Kepada Masyarakat Perbankan Syariah Kajian Sastra Nusantara Linggau ( KASTRAL) IQTISHOD: Jurnal Pemikiran dan Hukum Ekonomi Syariah Jurnal Adijaya Multidisiplin Paradoks : Jurnal Ilmu Ekonomi Jurnal Sahid Mengabdi TONGKONAN: Jurnal Pengabdian Masyarakat Jurnal Bisnis, Manajemen, dan Keuangan Java Nursing Journal Journal of Planning and Research in Civil Engineering Jurnal Pengabdian Masyarakat dan Riset Pendidikan Jurnal Kesehatan Republik Indonesia Jurnal Medicare El-Mal: Jurnal Kajian Ekonomi & Bisnis Islam Gudang Jurnal Pengabdian Masyarakat The Indonesian Journal of Computer Science Scientific Journal of Informatics DBESTI: Journal of Digital Business and Technology Innovation Prosiding Dedikasi: Pengabdian Mahasiswa Kepada Masyarakat Mesada: Journal of Innovative Research ELLITE Journal Jurnal Ilmu Peternakan Indonesia (JIPENA) PESHUM Jcommits : The Journal of Community Empowerment, Innovation, and Sustainability (Jurnal Ilmu Al-Qur'an dan Tafsir) Jurnal Online Skripsi Manajemen Rekayasa Konstruksi (JOS-MRK) FUNDS: Jurnal Ilmiah Akutansi, Keuangan, dan Bisnis Darussalam Indonesian Journal of Nursing and Midwifery Pharmaceutical Journal
Amalia
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Peran Nazhir Dalam Pengelolaan Tanah Wakaf Masyarakat Seberang Ulu I Amalia; Mahmud Alfan Jamil; M Rasyid Redho Pratama
PESHUM : Jurnal Pendidikan, Sosial dan Humaniora Vol. 5 No. 2: Februari 2026
Publisher : CV. Ulil Albab Corp

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56799/peshum.v5i2.15248

Abstract

Penelitian ini bertujuan untuk menganalisis peran nazhir dalam pengelolaan tanah wakaf serta kendala yang dihadapi di Kecamatan Seberang Ulu I, Kota Palembang. Metode yang digunakan adalah deskriptif kualitatif, dengan teknik pengumpulan data melalui wawancara, observasi, dan dokumentasi. Hasil penelitian menunjukkan bahwa nazhir memiliki peran penting dalam menjaga dan mengembangkan tanah wakaf agar bermanfaat bagi masyarakat. Namun, pengelolaan masih bersifat tradisional dan belum optimal karena keterbatasan sumber daya, kurangnya pemahaman hukum wakaf, dan minimnya pelatihan. Oleh karena itu, diperlukan pembinaan dan dukungan dari pihak terkait untuk meningkatkan profesionalisme nazhir.
Analisis Debit Banjir Metode Hidrograf Satuan Sintetis (HSS) Nakayasu dan Synder pada Krueng Sabee Aceh Jaya Muhammad Ridha; Amalia; Muhammad Zardi; Tety Sriana; Mery Silviana; Meliyana; Susi Sakia
Jurnal Perencanaan dan Penelitian Teknik Sipil Vol 4 No 2 (2025): Juli
Publisher : Universitas Iskandar Muda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55616/prince.v4i2.1000

Abstract

Krueng Sabee is one of the rivers located in Krueng Sabee District, Aceh Jaya Regency. Krueng Sabee has a main river with a length of 33.27 km and a watershed area of 380.90 km2 and an average river elevation of 0.4%. Krueng Rusi and Krueng Cangeh divide the Krueng Sabee River flow in the upstream. Krueng Sabee often overflows which causes flooding around its flow area. To determine the design flood discharge for the Return Period (PU) of 2.5, 10, 25, 50 and 100 years that occurred in Krueng Sabe using the HSS Nakayasu and HSS Synder Methods is the main objective of this study. Rainfall data used from station A in Pulo Raya Village and station B in Pante Kuyun Village. The flood discharge for Return Period (PU) 2, 5, 10, 25, 50, and 100 is 1716.66 m³/sec, 1985.10 m³/sec, 2162.83 m³/sec, 2387.39 m³/sec, 2553.99 m³/sec and 2719.36 m³/sec is the result of the Nakayasu HSS Method analysis. The Snyder HSS method, obtains the design flood discharge values for various Return Periods (PU) as follows: 2 years 14,479.83 m³/s, 5 years 16,746.64 m³/s, 10 years 18,247.47 m³/s, 25 years 20,143.77 m³/s, 50 years, 21,550.55 m³/s Return Period 100 years 22,946.95 m³/s. It was found that the Snyder Synthetic Unit Hydrograph (HSS) method produces a larger flood discharge compared to the Nakayasu HSS.
Analisis Penjadwalan Ulang pada Proyek Pembangunan Gedung Asisten Pidana Militer (ASPIDMIL) Ikhlas, Muhammad; Amalia; Ridha, Muhammad; Sriana, Tety
Jurnal Perencanaan dan Penelitian Teknik Sipil Vol 5 No 2 (2026): Juli
Publisher : Universitas Iskandar Muda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55616/prince.v5i2.1188

Abstract

Construction delays are a common challenge in building projects and are often caused by inaccurate scheduling, limited resources, and ineffective project management. The ASPIDMIL Building project experienced a significant delay, with an actual duration of 244 days compared to the planned 180 days. This study evaluates rescheduling using the Critical Path Method (CPM) and the Precedence Diagram Method (PDM) to identify critical activities, assess acceleration potential, and compare cost efficiency. The analysis shows that CPM reduces the project duration to 220 days, while PDM provides a greater improvement with a shortened duration of 209 days. Correspondingly, labor costs decrease by 4.35% under CPM and 9.13% under PDM. These results demonstrate that PDM is more effective for complex building projects that require overlapping activities and flexible logical relationships.
Explainable Fraud Detection in Mobile Banking Transaction Using Extreme Gradient Boosting (XGBoost) and Shapley Additive Explanations (SHAP) Rovita Indah Ayu Ningtias; Mahyuddin K M Nasution; Amalia
JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Vol. 10 No. 1 (2026): Issues July 2026
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31289/jite.v10i1.15505

Abstract

The development of mobile banking services has increased the convenience of financial transactions, but has also increased the risk of potentially fraudulent transactions. The complexity of transaction patterns and data integrity pose challenges in building an accurate and interpretable detection system. This study aims to analyze the risks of mobile banking transactions using XGBoost and provide an interpretation of factors that influence prediction results using Shapley Additive Explanations (SHAP). The data used are 6,898,889 mobile banking transactions in 2023 with six main attributes. The research stages include data preprocessing, feature extraction based on time and transaction behavior, normalization, data partitioning, anomaly detection using autoencoders, and classification using XGBoost. Autoencoders are used to generate pseudo-labels based on reconstruction error values, while SHAP is used to interpret the contribution of each feature to the model's prediction results. The results show that the autoencoder produces a threshold anomaly of 0.0345 and identifies 1,379 transactions as anomalies. The XGBoost model is able to recognize all anomalous transactions with a recall value of 1.00, although some normal transactions are still predicted as anomalies. The SHAP analysis results show that trx_value is the most influential feature on predictions, followed by channel_type and transaction_hour. This study demonstrates that the combination of Autoencoder, XGBoost, and SHAP can support the detection of potentially fraudulent transactions while providing a more transparent interpretation of the factors influencing the model's decisions.
PENERAPAN ALGORTMA NAÏVE BAYES DALAM MENGOPTIMALKAN MANAJEMEN INVENTORI PADA PT SOALA GOGO NATAMA Andriyan Jonatan Matondang; Eben Ezer Seluya Malau; Siti Aisyah; Amalia; Muhammad Radhi
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol. 9 No. 2 (2026): April 2026
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v9i2.6121

Abstract

The advancement of information technology has encouraged companies to manage data more effectively in decision-making processes, including inventory management. Problems such as overstock, deadstock, and stockout frequently occur due to the lack of data-driven management based on historical transactions. This study aims to analyze and classify inventory demand levels using the Naïve Bayes algorithm to optimize inventory management at PT Soala Gogo Natama. This research employs a quantitative descriptive method with a case study approach. The dataset consists of 300 observations divided into training data (210) and testing data (90) with 9 variables. The analysis process includes data preprocessing, implementation of the Gaussian Naïve Bayes algorithm using Python, and model evaluation using accuracy, confusion matrix, and classification report. The results indicate that the model successfully classifies data into three categories: low, medium, and high, with an accuracy of 78.89%. Model evaluation shows good performance in the low and high classes, while misclassification occurs in the medium class due to overlapping characteristics between classes. This suggests that the model is effective in identifying data patterns but has limitations when handling data with similar distributions. In conclusion, the Naïve Bayes algorithm is effective in supporting inventory management decision-making, particularly in determining stock priorities based on historical data.
Co-Authors Abdul Rasyid Abra Saputra Siregar Achmad, Ibanes Jean Gayatri Adi Ihsan Imami Afif Hakim Agatha Anggraeni Dewi Agung Dharmawan Buchdadi Ahmad Khaironi Ahmad MAULANA Amelinda, Amanda Andriyan Jonatan Matondang Angela Anggreni Bako Anis Rosyidah Anita, Cacan Anitarakhmi Ardison Arif Rahman Hakim Arif, Naufal Aristian astriana bangur , Yasinta Audy Salsabillah Aufariq Asaria Cifa Aulia Luthfi Fathoni Bakti Viyata Sundawa Boby Setiawan Budiman, M. Andri Cahyaningratri Prima Riyandhani Catur Supriyanto Cecep Maulana Cinantya Paramita Denny Yatmadi Destria Kurnianti Dewi Purwati Diah Puspita Sari Dimas Artha Antariksa Dinda Dwi Rabita Eben Ezer Seluya Malau Embun Sakara Ungu Erick Gunawan Bahar Eristono, Eristono Erna Budhiarti Nababan Ernawati, Erna Fadli, Muh Faidliyah Nilna Minah Faulina B.L, Nahdiah Fauziah Febrin Aulia Batubara Fian Khamil Arifin Firza Arief Rahmatullah Gugun Gunawan, Gugun Haiqal, Arya Halida Halimatul Adha Hamsiah, Andi Hayya A.K, Husniatu Hazrina, Umi Indah Hendra Priyatnanto Hili Aulianah Himyatul Hidayah Iin Dwi Aristy Putri Ika Dwi Rachmawati Imam Setiaji Ronoatmojo Intan Nurbaiti Irianto Irwan Moridu Iwan Adinugroho Jannah, Rauzatul Jonathan Saputra K.Gunawan, Brahmantyo Kaluhung, Yayuk Kelana, Sukma Khairunnisa, Syahla Khalivio Rahmyanto Putra Kolla Sahpitri Latifa Siswati Latifa Siswati Latifah, Euis Laurita Lestari, Uray Nurul Dwi Lilis Tiyani Linardo Pratama Linda Adriani LINDAWATI Lora Irawan M Rasyid Redho Pratama M. Zulham MAHMUD ALFAN JAMIL Mahyuddin K M Nasution Mangge, Juliana Marcella Novia Putri Mauvizar, Erly Meliyana Mery Silviana Mina Umrah Pelas Misna Asqia Mohammad Aristo Sadewa Mohammad Firmansyah monika lestari, Tria Mordekhai Morlan Pardede - Mufidah, Azmi Muhammad Ardiansyah Sembiring Muhammad Asikin Muhammad Ikhlas Muhammad Radhi Muhammad Ridha Muhammad Ridha Muhammad Rizwan Muhammad Taufiq Fathaddin, Muhammad Taufiq Muhammad Tsani Irsyadi Muhammad Zardi Munirah mursyid yahya Mu’fidatul Nurul Hajjad Nasution, Tuti Adi Tama Nilakanti, Dwi Putri Nina Ntai, Sri Nuning nur kholifah, Fasha Nurbaya Nurhabibah Nurhayati Nurikha Pramudhita Nurwinda Sari, Nova Pakaya, Siti Nurhaliza Pratiwi, Andini Pricilia, Anastasia Purnamasari, Septi Putrinda Rahman, Abdurrasyid Aulia Raka Kana Pila Ramadan Lubis Raudhinaa Gumilar Tauzirie Rendy Rere Nita Alfisa Ulfa Resa Livia Nica Reski Wahyudi Richta Puspita Haryanti Rini Nizar Rofiatul Hosna Rohsita Amalyah Rasyid Rohsita Amalyah Rasyid Romi Ferdian Rosalia Pertiwi Rovita Rovita Indah Ayu Ningtias Roziana Amalia Rumintar J. H. Marpaung Rumintar J.H. Marpaung Saputra, Jonathan Septiawan Jiwandono Shafira, Hurul Aini Silviana, Mery Sinta Dewi, Ni Wayan Siska Okta Ramadani Siti Aisyah Siti Aisyah Siti Nurhaliza Siti Taskiyatul Fikriyah Sri Hafnida Ritonga Sri Wahyuni St Muriati, St Suci Budining Kisprasetiyani Suhariyanto Suhendi Sumardi Suryapranatha, Dicky Susi Sakia Suwanti Syah Putra Lubis, Fachrurrozi SYAHMINAN, MHD. Syahriah Madjid Syamsafitri Tatang Rizky Tety Sriana Thantawi, Tubagus Rifqy Tubagus Erwin Nurdiansyah Ulkhaq, Rafie Itharani Wenda, Neliku Wenny Asti Pratiwi Wijaya, Indra Yalizar Rahayu Sitorus Yarra Sutadiwiria Yati Heryati Yeftamikha Yora Nopriani Yuli Lestari Yuliani, Nisa Dwi Yuniarti, Tatik Yunita Dwi Anggreini Yusuf, Ariq Haykal Zamziba, Muhammad Nur Farhan