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All Journal EKSAKTA: Journal of Sciences and Data Analysis Epsilon: Jurnal Matematika Murni dan Terapan Jurnal Statistika Universitas Muhammadiyah Semarang Desimal: Jurnal Matematika Abdimas Talenta : Jurnal Pengabdian Kepada Masyarakat JOURNAL OF SCIENCE AND SOCIAL RESEARCH Jurnal Ilmiah Edunomika (JIE) Al-Kharaj: Journal of Islamic Economic and Business Budimas : Jurnal Pengabdian Masyarakat Studi Ilmu Manajemen dan Organisasi Jurnal Media Informatika Al Khidma: Jurnal Pengabdian Masyarakat JEMSI (Jurnal Ekonomi, Manajemen, dan Akuntansi) Jurnal Multidisiplin Dehasen (MUDE) Journal of Comprehensive Science
Katrin Jenny Sirait
Universitas Sumatera Utara
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Astronomy Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Neuroscience Nursing Physics Public Health Social Sciences Transportation Veterinary Other

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Optimalisasi Sistem SAP dalam Pengelolaan Keuangan Digital di Departemen Perbendaharaan PT Pelindo Multi Terminal Desmon Gunadi Siagian; Josefa Sitorus; Katrin Jenny Sirait
Al Khidma: Jurnal Pengabdian Masyarakat Al Khidma Vol. 6 No. 2 April - Juni 2026
Publisher : Sekolah Tinggi Ilmu Al-Qur'an (STIQ) Amuntai Kalimantan Selatan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35931/ak.v6i2.5775

Abstract

Pengelolaan keuangan yang efisien dan transparan menjadi kebutuhan utama dalam mendukung operasional perusahaan, terutama pada industri logistik dan pelabuhan yang kompetitif seperti PT Pelindo Multi Terminal. Divisi Pengelolaan Keuangan dan Perpajakan melalui Departemen Perbendaharaan memiliki peran sentral dalam merencanakan, menyalurkan, dan mengawasi arus kas perusahaan. Permasalahan yang dihadapi mitra adalah kesulitan pegawai dalam mengingat kode-kode transaksi SAP yang bersifat teknis dan tidak intuitif, yang berdampak pada efektivitas kerja. Kegiatan ini bertujuan untuk mengidentifikasi prosedur kerja serta memberikan rekomendasi peningkatan kompetensi teknis pengguna SAP. Metode yang digunakan dalam pelaksanaan kegiatan adalah observasi langsung, partisipasi aktif dalam proses keuangan, dan analisis penerapan sistem ERP. Hasil kegiatan menunjukkan bahwa proses keuangan seperti rekap permintaan dan pertanggungjawaban virtual account, rekonsiliasi bank, dan perekapan rekening koran dapat terlaksana dengan lancar. Kesimpulan dari kegiatan ini menegaskan pentingnya pelatihan berbasis praktik dan pemanfaatan fitur SAP seperti Custom Menu untuk meningkatkan efisiensi dan akurasi kerja. Kegiatan ini berkontribusi dalam meningkatkan kesiapan SDM menghadapi tuntutan sistem digital berbasis ERP di lingkungan korporasi.
Implementasi Regresi Komponen Utama pada Tingkat Pengangguran Terbuka Kabupaten di Deli Serdang Katrin Jenny Sirait; Yunda Naufal
Jurnal Media Informatika Vol. 7 No. 3 (2026): Edisi Mei - Juni
Publisher : Lembaga Dongan Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55338/jumin.v7i3.9125

Abstract

Tingkat pengangguran terbuka menjadi salah satu ukuran pokok dalam mengevaluasi situasi ketenagakerjaan serta pencapaian pembangunan perekonomian suatu daerah. kabupaten deli serdang sebagai daerah strategis di Provinsi Sumatera Utara memiliki karakteristik sosial ekonomi yang dinamis sehingga TPT-nya dipengaruhi oleh banyak variabel yang saling berkorelasi yang berpotensi menimbulkan masalah multikolinearitas dalam analisis regresi. Penelitian ini bertujuan untuk membentuk komponen utama dari variabel-variabel sosial dan ketenagakerjaan serta menganalisis pengaruhnya pada tingkat pengangguran terbuka kabupaten deli serdang menerapkan cara regresi komponen utama. data yang dipakai berupa data sekunder yang berasal dari laporan keterangan pertanggungjawaban (LKPJ) lalu rencana pembangunan jangka menengah daerah dan BPS periode tahun 2011–2025 yang mencakup sembilan variabel independen. Hasil uji kelayakan memperlihatkan angka KMO sebesar 0,733 serta nilai signifikansi bartlett test sebanyak 0,000 sehingga data layak dianalisis menggunakan analisis komponen utama. Hasil analisis menghasilkan dua komponen utama yang bisa memaparkan 81,60% keragaman data. Komponen pertama merepresentasikan faktor sosial ekonomi dan kesejahteraan masyarakat sedangkan komponen kedua merepresentasikan faktor makroekonomi yang meliputi tingkat kenaikan harga dan laju pertumbuhan ekonomi. Hasil uji regresi memperlihatkan hanya komponen kedua yang memberikan pengaruh nyata terhadap TPT melalui koefisien bernilai negatif yang memperlihatkan peningkatan kondisi ekonomi makro cenderung menurunkan tingkat pengangguran terbuka. Model PCR yang diperoleh telah memenuhi seluruh asumsi klasik regresi yaitu normalitas bebas heteroskedastisitas bebas autokorelasi bebas multikolinearitas dan memiliki koefisien determinasi sebesar 36,6%.
PENGARUH DIGITAL COMPLAINT HANDLING TERHADAP KUALITAS PELAYANAN DAN KEPUASAN PELANGGAN: STUDI PADA PT PLN (PERSERO) ULP HELVETIA Desmon Gunadi Siagian; Katrin Jenny Sirait; Jamardua Haro; Jenny Sari Tarigan; John Sihar Manurung
JURNAL ILMIAH EDUNOMIKA Vol. 10 No. 1 (2026): EDUNOMIKA
Publisher : ITB AAS Indonesia Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29040/jie.v10i1.18613

Abstract

Digital transformation in customer complaint handling has become a strategic necessity for public service providers, including PT PLN (Persero). This study aims to examine the effect of Digital Complaint Handling on Service Quality and Customer Satisfaction, as well as to analyze the mediating role of Service Quality among customers of PLN ULP Helvetia. A quantitative approach was employed using PLS-SEM analysis on 150 respondents who had utilized the Chempion Mobile application. The results indicate that Digital Complaint Handling significantly influences Service Quality (β = 0.78) and Customer Satisfaction (β = 0.31). Furthermore, Service Quality significantly affects Customer Satisfaction (β = 0.62). The mediation analysis reveals that Service Quality partially mediates the relationship between Digital Complaint Handling and Customer Satisfaction, with an indirect effect of 0.484 and a VAF value of 61%. These findings confirm that the success of digital service initiatives is determined not only by technological implementation but also by the extent to which they improve overall service quality. The study suggests that optimizing digital service features and strengthening service quality dimensions are crucial strategies for enhancing customer satisfaction.
Integrating Education, Technology, and Suistanable Practices for Community Empowerment in Siponjot Village Zahedi; Dian Marisha Putri; Katrin Jenny Sirait; T. Irmansyah; Dolly Sojuangan Siregar; Miswar Budi Mulya; Benny Hidayat; Muhammadin Hamid; M. Sabri; Badai Charamsar Nusantara; Meutia Nauly
ABDIMAS TALENTA: Jurnal Pengabdian Kepada Masyarakat Vol. 10 No. 2 (2025): ABDIMAS TALENTA: Jurnal Pengabdian Kepada Masyarakat
Publisher : Talenta Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32734/abdimastalenta.v10i2.23698

Abstract

This study explores the implementation of a holistic community service program in Siponjot Village, North Sumatra, aimed at enhancing non-formal education, economic sustainability, and environmental resilience. Through the "Marsiajar Manang Didia Pe" initiative, the program promotes a flexible learning system aligned with local cultural values, addressing gaps in formal education. Key components include training in agricultural practices focusing on coffee and mahogany cultivation alongside the introduction of data-driven decision making tools such as economic mathematical models and QR codes for improved information management. Results indicate improved community engagement, increased agricultural productivity, and enhanced digital literacy. The findings highlight the critical interplay between education, technology adoption, and sustainable practices in fostering community empowerment and resilience against environmental challenges.
The Effect of Risk Management Implementation on Operational Efficiency in Event Organizers: An Empirical Intervention-Based Study at CV RAP PADUKARYA Desmon Gunadi Siagian; Katrin Jenny Sirait; Jamardua Haro; Rismawati Situmorang
JEMSI (Jurnal Ekonomi, Manajemen, dan Akuntansi) Vol. 12 No. 4 (2026): Agustus 2026
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA), Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jemsi.v12i4.6518

Abstract

The event organizer industry operates in a dynamic environment characterized by high uncertainty, tight schedules, and complex coordination, making operational efficiency highly dependent on effective risk management practices. However, many small and medium-sized event organizers still rely on reactive approaches that often lead to inefficiencies in time, cost, and operational readiness. This study aims to examine the effect of risk management implementation on operational efficiency in event organizer activities. Operational efficiency is conceptualized as a multidimensional construct consisting of schedule efficiency, cost efficiency, and operational preparedness. This study employs a quantitative evaluative approach using a quasi-experimental one-group pre–post design. Due to the absence of primary field data, a simulation-based quantitative method is applied to represent realistic operational conditions. Data analysis is conducted using descriptive statistics, paired sample t-tests, effect size analysis, and reliability testing. The results indicate statistically significant improvements across all dimensions of operational efficiency following the implementation of risk management practices. Among these dimensions, operational preparedness shows the strongest improvement. The findings suggest that risk management functions as an organizational capability that enhances readiness and adaptability in project-based service environments. This study concludes that simple and feasible risk management practices can substantially improve operational efficiency in event organizer organizations.
PENERAPAN METODE ANALYTICAL HIERARCHY PROCESS (AHP) DALAM ANALISIS PREFERENSI TRANSPORTASI ONLINE MAHASISWA KOTA MEDAN Katrin Jenny Sirait; Desmon Gunadi Siagian
Epsilon: Jurnal Matematika Murni dan Terapan Vol 19, No 1 (2025)
Publisher : Mathematics Study Program, Faculty of Mathematics and Natural Sciences, Lambung Mangkurat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/epsilon.v19i1.15180

Abstract

The development of technology continues to grow so that it has brought significant changes in various aspects of life including in the field of transportation. The use of online transportation services is increasing among students as a fast, efficient, and economical mobility solution. Each online transportation service offers different features, services, and prices so that it requires more attention in choosing the right platform. This study aims to analyze the factors that influence the selection of online transportation services, especially Grab, Gojek, Maxim, and InDriver, which are used by students in Medan City using the Analytical Hierarchy Process Method (AHP to help complex decision making by breaking down problems into several hierarchical levels and comparing elements in pairs. In the context of online transportation preferences, AHP is applied to analyze and determine which transportation service best suits students' needs based on several main criteria. The criteria used are price, comfort, safety, and time. While the alternatives used are Grab, Gojek, Maxim, and InDriver. The data collection technique used is by distributing questionnaires to students in Medan City. The results of the AHP analysis reveal that based on the price criterion, InDriver ranks highest with a score of 0.33. For the comfort criterion, Grab ranks first with a score of 0.36. Regarding the safety criterion, Gojek is ranked first with a score of 0.36, and for the time criterion, Gojek again ranks highest with a score of 0.31. Therefore, this research is expected to provide useful recommendations for students and stakeholders in selecting the most appropriate online transportation service in Medan
ANALISIS KONVERGENSI DAN EFEKTIVITAS ALGORITMA K-MEANS PADA KLASTERISASI DATA KRIMINALITAS DAN PARTISIPASI KEAMANAN MASYARAKAT DI INDONESIA Katrin Jenny Sirait; Cora Angelyna Hermanto
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol. 9 No. 3 (2026): June 2026
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v9i3.6664

Abstract

Abstract: This study aims to cluster provinces in Indonesia based on crime rates and community participation in security in 2024. The objective is to determine how effective the K-Means Clustering method is in analyzing this data. This study uses six crime indicators and five indicators of community participation at the provincial level. Before analysis, the data were cleaned and standardized using the Z-Score method. The clustering process employed the K-Means method with Euclidean distance. Cluster quality was evaluated using SSE and the Silhouette Score. The results show that the K-Means algorithm achieved convergence with a stable SSE value. However, determining the optimal number of clusters yielded different results between the Elbow method and the Silhouette Score. After considering stability and interpretability, three clusters were determined to be the optimal result. The clustering results indicate variations in characteristics across provinces regarding crime and community participation. The study also shows that cluster separation is better for crime data than for participation data. Thus, the K-Means Clustering method can be used as an initial mapping of regional security conditions in Indonesia. However, these results are also influenced by data characteristics and the sensitivity of centroid initialization. Keywords: K-Means Clustering, Crime, Community Participation, Elbow Method, Silhouette Score.   Abstrak: Penelitian ini bertujuan untuk mengelompokkan provinsi di Indonesia berdasarkan tingkat kriminalitas dan partisipasi masyarakat dalam keamanan pada tahun 2024. Tujuannya adalah untuk mengetahui seberapa efektif metode K-Means Clustering dalam menganalisis data ini. Penelitian ini menggunakan enam indikator kriminalitas dan lima indikator partisipasi masyarakat di tingkat provinsi. Sebelum dianalisis, data tersebut dibersihkan dan distandardisasi menggunakan metode Z-Score. Proses pengelompokan menggunakan metode K-Means dengan jarak Euclidean. Kualitas cluster dievaluasi menggunakan SSE dan Silhouette Score. Dari hasil penelitian, algoritma K-Means dapat mencapai konvergensi dengan nilai SSE yang stabil. Namun, penentuan jumlah cluster optimal menunjukkan hasil yang berbeda antara metode Elbow dan Silhouette Score. Setelah mempertimbangkan stabilitas dan interpretasi, ditetapkan bahwa tiga cluster adalah hasil yang optimal. Hasil klasterisasi menunjukkan adanya variasi karakteristik antarprovinsi pada aspek kriminalitas dan partisipasi masyarakat. Hasil penelitian juga menunjukkan bahwa pemisahan cluster pada data kriminalitas lebih baik dibandingkan data partisipasi. Dengan demikian, metode K-Means Clustering dapat digunakan sebagai pemetaan awal kondisi keamanan wilayah di Indonesia. Namun, hasil ini juga dipengaruhi oleh karakteristik data dan sensitivitas inisialisasi centroid. Kata kunci: K-Means Clustering, Kriminalitas, Partisipasi Masyarakat, Elbow Method, Silhouette Score.
The Effect of SAP System Utilization on Digital Financial Management Efficiency: An Empirical Study at the Treasury Department of PT Pelindo Multi Terminal Desmon Siagian; Katrin Jenny Sirait; Azwar Anas Manurung; Jamardua Haro; Irwan Nopian Sinaga
Al-Kharaj: Journal of Islamic Economic and Business Vol. 8 No. 3 (2026): All articles in this issue include authors from 3 countries of origin (Indonesi
Publisher : LP2M IAIN Palopo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24256/kharaj.v8i3.12415

Abstract

This study examines the relationship between SAP System Utilization and Digital Financial Management Efficiency within the Treasury Department of PT Pelindo Multi Terminal, focusing on Transaction Processing Efficiency, Financial Reporting Accuracy, and Treasury Operational Readiness. A quantitative explanatory design was employed using field data collected from employees directly involved in SAP-supported treasury and financial activities. Data were analyzed using descriptive statistics, Cronbach’s Alpha, simple linear regression, and the coefficient of determination (R²). The results indicate that SAP System Utilization has positive and statistically significant relationships with Transaction Processing Efficiency (β = 0.684, p < 0.001), Financial Reporting Accuracy (β = 0.651, p < 0.001), and Treasury Operational Readiness (β = 0.592, p < 0.001). The corresponding R² values were 0.468, 0.424, and 0.351, respectively. Transaction Processing Efficiency demonstrated the strongest relationship. These findings suggest that effective utilization of existing SAP infrastructure is important for improving digital financial management. Organizations should therefore strengthen user competency, process standardization, and consistent system utilization alongside technological investment.
Penguatan Nilai Tambah Kopi Arabika Melalui Penerapan Mesin Pengupas Kopi Kering, Pengembangan Kemasan Produk, dan Pemasaran Berorientasi Ekspor di Desa Boangmanalu Desmon Gunadi Siagian; Sahat Sitompul; Katrin Jenny Sirait
Al Khidma: Jurnal Pengabdian Masyarakat Al Khidma Vol. 6 No. 4 Oktober - Desember 2026
Publisher : Sekolah Tinggi Ilmu Al-Qur'an (STIQ) Amuntai Kalimantan Selatan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35931/ak.v6i4.7183

Abstract

Kegiatan pengabdian ini bertujuan meningkatkan nilai tambah kopi arabika pada Kelompok Tani Jojong di Desa Boangmanalu melalui penerapan mesin pengupas kopi kering, pengembangan kemasan produk, dan pemasaran digital. Kegiatan dilaksanakan melalui tahapan perencanaan, sosialisasi, pelatihan, penerapan teknologi, pendampingan, dan evaluasi. Hasil kegiatan menunjukkan bahwa penerapan mesin pengupas kopi kering meningkatkan kapasitas pengupasan dari sekitar 50–60 kg/jam menjadi sekitar 100 kg/jam serta menghasilkan green bean yang lebih bersih dan seragam. Selain itu, mitra mampu mengoperasikan dan merawat mesin, menerapkan kemasan produk yang lebih menarik, serta memanfaatkan website dan marketplace sebagai media pemasaran digital. Kegiatan ini meningkatkan efisiensi produksi, kualitas produk, kemampuan pemasaran, daya saing usaha, dan nilai tambah kopi arabika.
Applying Feature Selection and Ensemble Models to Classify Complex Data Using Lasso Regression and Random Forest in Medical Datasets Nasution, Putri Khairiah; -, Sutarman; Sirait, Katrin Jenny
EKSAKTA: Journal of Sciences and Data Analysis VOLUME 7, ISSUE 2, October 2026
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20885/EKSAKTA.vol7.iss2.art7

Abstract

The rise of big data has posed major challenges for the healthcare industry on how to analyze intricate medical datasets in order to drive improved patient outcomes and clinical decision making. This paper examines the enhancement of complex medical data classification through ensemble models that are integrated with feature selection techniques such as RFE, LR, and RF. Our objectives are to enhance predictive performance with model interpretability by taking advantage of the strengths of these methods. In this research, we compare RFE, LR and RF on all three medical datasets (Breast Cancer, Pima Diabetes and Chronic Disease Classification) to investigate how effective they are in finding relevant features and how well their ensemble models can run. The findings demonstrate that, RF produces the best performance out of all methods by far, and the performance is even better when it is combined with RFE since RF + RFE performs best on all 6 datasets. Though ensemble models offer enhanced stability, their advantages vary according to the situation, and they may not yield better performance than the best single model in every case. Also, synergism between linear and nonlinear implementations was minimal. Through this study, we demonstrate that applying an appropriate feature selection approach and classification model to the complexity of the medical data is key. These findings provide important insights for improving predictive modeling in health care to inform relevant clinical decision-making and improve patient outcomes. Further studies can inves- tigate more ensemble approaches as well as applying it to a greater data set, which would improve applicability and generalizability
Co-Authors -, Sutarman Abdul Munif Anggiat Parlindungan Simbolon Asima Manurung Azwar Anas Manurung Badai Charamsar Nusantara Benny Hidayat Cora Angelyna Hermanto Desmon Gunadi Siagian Donni Ramadhan Siregar Fairus Alma Islami Tiar Graceya Zagita Manik Harefa, Agusman Irgie Attaurrazaq Irwan Nopian Sinaga Jamardua Haro Jamardua Haro - Jenny Sari Tarigan Jenny Sari Tarigan Jesika Triana Tampubolon John Sihar Manurung Josefa Sitorus M. Sabri Melani Putri Meutia Nauly Miswar Budi Mulya Muhammadin Hamid Nasution, Putri Khairiah Poniman Poniman PUTRI, DIAN MARISHA Rismawati Rismawati Ruth Bethseba Ekklesia Siburian Sahat Sitompul Sheikha Alhasanah Silitonga, Grace Christina Lasmaida Siregar, Dolly Sojuangan Siska Ardini Pandiangan Syahdan, M. Sakti T. Irmansyah Yohana Yulianti Simbolon Yunda Naufal Zahedi Zahedi