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All Journal Journal of Law, Economics, and Engineering KORISA: Jurnal Kolaborasi Riset Sarjana
Esa Putri
Universitas Terbuka
Economics, Econometrics & Finance Engineering Law, Crime, Criminology & Criminal Justice

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Forensik Digital dalam Tata Kelola Keamanan Informasi Pendidikan Tinggi Indonesia: Tinjauan Sistematis Rosyid Al-Hakim; Esa Putri
Journal of Law, Economics, and Engineering Vol. 1 No. 1 (2025)
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai

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Era transformasi digital yang cepat telah menjadikan sektor pendidikan tinggi (PT) sebagai sasaran utama kejahatan siber, yang mencakup insiden data breach dan kecurangan akademik. Kemampuan untuk melakukan investigasi insiden dan mengumpulkan bukti digital yang sah merupakan kebutuhan manajerial yang vital dalam tata kelola keamanan informasi. Penelitian ini bertujuan menjembatani kesenjangan antara penerapan teknis forensik digital (FD) dan implikasi strategis manajerial, hukum, serta kepatuhan di lingkungan PT Indonesia. Metode yang digunakan adalah Tinjauan Literatur Sistematis (Systematic Literature Review atau SLR) berdasarkan kerangka PRISMA untuk menjamin rigor metodologis. Hasilnya menunjukkan bahwa FD berperan penting dalam menjaga integritas akademik, misalnya melalui analisis artefak digital untuk kasus contract cheating. Secara hukum, meskipun UU ITE mengakui bukti elektronik, PT menghadapi tantangan dalam standardisasi prosedur FD dan pemeliharaan Chain of Custody (CoC) untuk memastikan keabsahan bukti. Kesimpulannya, efektivitas FD di PT menuntut komitmen manajerial strategis dan integrasi Digital Forensic Readiness (DFR) ke dalam kebijakan tata kelola untuk memperkuat akuntabilitas publik.
Sistem Pendukung Keputusan untuk Klasifikasi Risiko Diabetes Menggunakan Algoritma Decision Tree Hafizah Zuriyat Tayyibah; Toat Tuloh; Khoirun Nisa; Glagah Setyowisnu; Rosyid Al-Hakim; Esa Putri
KORISA: Jurnal Kolaborasi Riset Sarjana Vol. 2 No. 3 (2025): Jurnal Kolaborasi Riset Sarjana Volume 2 Nomor 3 September 2025
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat (LP2M) Universitas Harapan Bangsa

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Diabetes mellitus is a chronic metabolic disease that requires early diagnosis to prevent serious complications. This study aims to develop a diabetes risk classification model using the Decision Tree algorithm, based on a Kaggle dataset consisting of 520 patient records with 17 clinical and demographic features. The evaluation results show that the proposed model performs well, achieving an accuracy of 95.19%, precision of 1.00, recall of 0.93, and an F1-score of 0.96 for the positive class. These results outperform six previous studies that employed algorithms such as C4.5, SVM, Adaboost, KNN, and Naïve Bayes, both in terms of accuracy and sensitivity in detecting diabetes cases. In addition to its strong performance metrics, the study highlights the model’s interpretability through a visualized decision tree, enabling healthcare professionals to better understand the classification logic. With broader attribute coverage and comprehensive performance evaluation, the model is considered effective and suitable for developing accurate and transparent decision support systems for early diabetes diagnosis.
Implementasi Platform CRM sebagai Upaya Peningkatan Kepuasan Pelanggan pada Pelaku UMKM Riska Suryani; Ady Nugroho; Christosie Wahyudi; Endro Sariono; Esa Putri; Hadi Jayusman; Rosyid Al-Hakim
KORISA: Jurnal Kolaborasi Riset Sarjana Vol. 3 No. 2 (2026): Vol. 3 No. 2 (2026): Jurnal Kolaborasi Riset Sarjana Volume 3 Nomor 2 Mei 2026
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat (LP2M) Universitas Harapan Bangsa

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The digital transformation of Micro, Small, and Medium Enterprises (MSMEs) requires not only the adoption of digital marketing but also effective customer relationship management to enhance business competitiveness. However, many MSMEs still manage customer data manually, resulting in limited customer engagement and inconsistent service quality. This community service program aimed to implement a Customer Relationship Management (CRM) platform to improve customer satisfaction among MSMEs. The program involved ten MSMEs operating in the trade and culinary sectors through a series of activities consisting of needs assessment, CRM training, platform implementation, mentoring, and evaluation. Data were collected using questionnaires, observations, and customer satisfaction surveys. The effectiveness of the program was evaluated using descriptive statistical analysis based on participants' competency improvement and customer satisfaction scores. The results demonstrated significant improvements in participants' understanding of CRM concepts, customer database management, customer interaction recording, and the utilization of CRM features. Furthermore, customer satisfaction achieved a very good category across all evaluation indicators, indicating that CRM implementation contributed positively to service quality, communication effectiveness, and customer experience. This community service program demonstrates that implementing a digital CRM platform, supported by continuous mentoring, is an effective strategy to strengthen MSMEs' digital capabilities and improve customer-oriented business management in the digital era.
Co-Authors Ady Nugroho Christosie Wahyudi Endro Sariono Glagah Setyowisnu Hadi Jayusman Hafizah Zuriyat Tayyibah KHOIRUN NISA Riska Suryani Rosyid Al-Hakim Rosyid Al-Hakim Toat Tuloh