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All Journal JMM (Jurnal Masyarakat Mandiri) SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan Jurnal Informatika Global Jurnal Ilmiah Ekonomi Global Masa Kini Jurnal Ilmiah Binary STMIK Bina Nusantara Jaya Jurnal Abdimas Mandiri Jurnal Informasi dan Teknologi Abdimas Galuh: Jurnal Pengabdian Kepada Masyarakat Reswara: Jurnal Pengabdian Kepada Masyarakat Jurnal Nasional Ilmu Komputer Jurnal Mandiri IT Malcom: Indonesian Journal of Machine Learning and Computer Science Journal Of Artificial Intelligence And Software Engineering Electronic Integrated Computer Algorithm Journal AQILA : Acceleration, Quantum, Information Technology and Algorithm Journal
Marcelina, Dona
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Hybrid clustering and supervised learning model for digital MSME segmentation Marcelina, Dona; Terttiaavini, Terttiaavini
Jurnal Mandiri IT Vol. 14 No. 1 (2025): July: Computer Science and Field.
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/mandiri.v14i1.404

Abstract

Digitalization became a key factor in enhancing the competitiveness of Micro, Small, and Medium Enterprises (MSMEs). However, its implementation still faced several challenges, including low levels of technology adoption and inaccurate data segmentation. This study aimed to develop a hybrid approach by combining clustering techniques and supervised learning to conduct segmentation and prediction of MSMEs based on their level of digitalization. Four clustering algorithms were tested: K-Means, Agglomerative, Gaussian Mixture Model, and HDBSCAN. The evaluation results showed that HDBSCAN outperformed the other algorithms, achieving the highest Silhouette Score (0.3501), the lowest Davies-Bouldin Index (0.9557), and the highest Calinski-Harabasz Index (132.38). The segmentation process generated three distinct clusters: Cluster 0 (Traditional – low digitalization, small revenue), Cluster 1 (Semi-Digital – moderate technology adoption, medium revenue), and Cluster 2 (Fully Digital – high technology adoption, large revenue). These cluster results were then used as labels to train six classification algorithms. Among them, XGBoost and Neural Network delivered the best performance, reaching a prediction accuracy of 98.63%. The main contribution of this study was the development of an analytical framework for data-driven segmentation and prediction of MSMEs, providing more precise, targeted, and adaptive support for national digitalization strategies.
PELATIHAN PEMPEK PRENEURSHIP SEBAGAI AKSELERASI KEMANDIRIAN EKONOMI PEREMPUAN MELALUI USAHA BERKELANJUTAN Marcelina, Dona; Terttiaavini, Terttiaavini; Yulius, Yosef
JMM (Jurnal Masyarakat Mandiri) Vol 8, No 5 (2024): Oktober
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/jmm.v8i5.26417

Abstract

Abstrak: Kota Palembang terkenal dengan kuliner khasnya, pempek, yang sangat diminati oleh wisatawan. Potensi ini menciptakan peluang usaha yang signifikan, terutama bagi ibu rumah tangga yang menghadapi kesulitan ekonomi. Pelatihan pembuatan pempek bertujuan untuk meningkatkan keterampilan peserta dalam membuat pempek skala jual, guna mendukung peningkatan ekonomi keluarga. Metode pelaksanaan terdiri dari empat tahap, yaitu Persiapan, yang mencakup perencanaan program, penentuan peserta, persiapan tempat dan logistik; Pelaksanaan, yang meliputi pembukaan program pelatihan, pelatihan keterampilan teknis dan simulasi usaha; Evaluasi, analisis kebutuhan, tindak lanjut, pendampingan dan dukungan berkelanjutan. Hasil evaluasi menunjukkan Kualitas Produk memperoleh nilai tertinggi dengan rata-rata 8,9, sedangkan Konsistensi Produk mendapatkan nilai terendah yaitu 6,5, yang mengindikasikan ukuran dan bentuk produk masih belum seragam. Berdasarkan temuan ini, maka disarankan untuk melanjukan Tindakan lanjutan, seperti mentoring, pelatihan lanjutan, serta bantuan modal usaha, guna meningkatkan keterampilan dan keberhasilan usaha peserta.Abstract: The city of Palembang is renowned for its signature dish, pempek, which is highly popular among tourists. This creates significant business opportunities, particularly for housewives facing economic difficulties. The pempek-making training aims to enhance participants' skills in producing pempek for commercial purposes, thereby supporting family economic improvement. The implementation method consists of four stages: Preparation, which includes program planning, participant selection, and venue and logistics preparation; Execution, which involves the opening of the training program, technical skill training, and business simulations; Evaluation, which includes needs analysis, follow-up actions, mentoring, and continuous support. The evaluation results show that Product Quality received the highest score, with an average of 8.9, while Product Consistency scored the lowest at 6.5, indicating that the size and shape of the products are still inconsistent. Based on these findings, it is recommended to continue with follow-up actions such as mentoring, advanced training, and financial support to further improve participants' skills and business success.
Service Quality Analysis of Business Licensing Information System (BLIS) at the Provincial Industry Department Using Decision Tree Putri, Indah Pratiwi; Marcelina, Dona; Yulianti, Evi; Anandez, Arum Adisha Putra
Acceleration, Quantum, Information Technology and Algorithm Journal Vol. 1 No. 2 (2024): VOLUME 1, NO 2: DECEMBER 2024
Publisher : Yayasan Asmin Intelektual Berkah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62123/aqila.v1i2.48

Abstract

In the digital era, government services, particularly business licensing, are expected to be efficient, reliable, and user- friendly to meet public demands. The South Sumatra Provincial Industry Department has adopted a web-based Business Licensing Information System to facilitate the licensing process. However, the system’s effectiveness in delivering quality service and ensuring process efficiency remains underexplored. This study aims to evaluate the service quality of the system, focusing on factors such as reliability, responsiveness, assurance, empathy, and usability. Using decision tree analysis, the study identifies the key variables impacting user satisfaction and process efficiency. The research objectives include assessing the overall quality of the service, analysing factors influencing efficiency, and providing recommendations for system improvement. Data will be gathered from business users who have utilized the system within the past year. The study scope encompasses service quality dimensions, process efficiency indicators, and user satisfaction metrics. Decision tree analysis will be employed to analyse these variables, highlighting the most influential factors on system performance. This research is expected to provide insights for enhancing the system’s reliability and usability, offering data-driven recommendations for decision-makers at the Industry Department. By improving the system, users can experience a more streamlined and satisfying licensing process, ultimately increasing their likelihood to recommend and reuse the service. The findings will also contribute to public information systems literature, serving as a valuable reference for similar service evaluations and optimizations in other government sectors
Payroll Checker System Based on Employee Performance at PT GOTO Palembang Using FDD Marcelina, Dona; Putri, Indah Pratiwi; Yulianti, Evi
Acceleration, Quantum, Information Technology and Algorithm Journal Vol. 2 No. 1 (2025): VOLUME 2, NO 1: JUNE 2025
Publisher : Yayasan Asmin Intelektual Berkah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62123/aqila.v2i1.78

Abstract

This study addresses the critical need for modernising payroll management at PT GOTO Palembang, a rapidly expanding enterprise grappling with the limitations of manual, paper-based salary processing. The research focuses on the design and implementation of a web-based Payroll Checker Information System that integrates employee performance metrics to enhance accuracy, efficiency, and transparency in remuneration processes. Employing the Feature-Driven Development (FDD) methodology, the system was developed iteratively to ensure alignment with organisational requirements and adaptability to evolving operational complexities. The system architecture encompasses modules for attendance tracking, performance evaluation, salary computation—including deductions, allowances, and meal subsidies—and comprehensive reporting functionalities. Role-based access controls were instituted to safeguard data integrity and facilitate secure access for administrators, employees, and directors. The implementation of this system has yielded significant improvements in payroll accuracy, reduced administrative workload, and enhanced employee trust through increased transparency. Furthermore, the integration of performance-based compensation aligns employee incentives with organisational objectives, fostering a culture of accountability and continuous improvement. This initiative exemplifies how strategic application of information technology can optimise human resource management practices, particularly in organisations experiencing rapid growth and structural complexity. The findings underscore the efficacy of agile development methodologies in delivering scalable and responsive business solutions, and they offer valuable insights for enterprises seeking to modernise their payroll systems in alignment with contemporary performance management paradigms.
A Prognostic System for Pharmaceutical Inventory Forecasting Using the Trend Least Squares Method at Rakha Medika Yulianti, Evi; Putri, Indah Pratiwi; Marcelina, Dona
Acceleration, Quantum, Information Technology and Algorithm Journal Vol. 2 No. 1 (2025): VOLUME 2, NO 1: JUNE 2025
Publisher : Yayasan Asmin Intelektual Berkah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62123/aqila.v2i1.80

Abstract

This study proposes the development of a sophisticated predictive system for pharmaceutical inventory management at Rakha Medika, Palembang, aimed at addressing the prevalent challenges associated with inaccurate drug stock forecasting. Employing the Trend Least Squares method, the system leverages historical consumption data to generate precise predictions of future pharmaceutical needs, thereby facilitating optimal procurement strategies and mitigating the risks of both stockouts and surplus inventory. Developed with PHP and MySQL, the system offers a user-friendly web-based interface, providing role-specific access for administrators, warehouse personnel, and senior management, ensuring seamless integration within the existing operational framework. This research highlights the importance of data-driven decision-making in healthcare supply chain management, where the accuracy of stock forecasts directly correlates with the quality-of-service delivery. Through rigorous testing using real-world data, the system demonstrated a significant improvement in forecasting accuracy and operational efficiency, with tangible benefits including reduced administrative burdens and enhanced drug availability. The implementation of this predictive system not only optimizes inventory control but also contributes to the overall enhancement of healthcare services at the public health center.
Sistem Informasi Website Company Profile Pada Dinas Koperasi dan UKM Kabupaten Pali Handoko, Handoko; Dhamayanti, Dhamayanti; Marcelina, Dona
Jurnal Nasional Ilmu Komputer Vol. 5 No. 2 (2024): Jurnal Nasional Ilmu Komputer
Publisher : Training and Research Institute Jeramba Ilmu Sukses (TRI - JIS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47747/jurnalnik.v5i2.1773

Abstract

The Company Profile Website Information System has become an increasingly important means of introducing organizations to the broader community. Effective and efficient exposure is crucial for promoting related services, programs, and information in the Department of Cooperatives and Small and Medium Enterprises (UKM) in Pali Regency. This research shows that the prototype method can be applied to develop a company profile by utilizing HTML, PHP, JavaScript, and MySQL programming languages. This system can provide accurate and up-to-date information to the public and increase awareness about the services offered by the Department of Cooperatives and SMEs in Pali Regency. This research contributes to the application of information technology in the government and public service sectors, especially in strengthening the image of organizations through modern digital expressions.
Pelatihan pemanfaatan teknologi artificial intelligence bagi guru sekolah dasar Saluza, Imelda; Yulianti, Evi; Putri, Indah Pratiwi; Marcelina, Dona; Sartika, Dewi
SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan Vol 8, No 2 (2024): June
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/jpmb.v8i2.23838

Abstract

Abstrak Dalam melaksanakan proses pembelajaran, guru dituntut untuk dapat terus menerus melakukan pembelajaran yang adaptif dan up to date yang didukung teknologi canggih. Teknologi canggih yang sering digunakan adalah Artificial Intellegence. Berdasarkan hasil observasi dan diskusi tim pengabdian kepada masyarakat (PKM) dan kepala sekolah SD Negeri 13 Palembang belum pernah mendapatkan pengetahuan memanfaatkan AI untuk mendukung proses pembelajaran dalam hal pencarian materi dan bahan ajar, karenanya tim PKM dan mitra memutuskan untuk melakukan kegiatan pelatihan memanfaatkan AI dalam pembelajaran. Dalam pelaksanaannya dilakukan dengan menggunakan metode Participatory Action Research (PAR) dengan empat tahapan yaitu perencanaan, tindakan, evaluasi dan refleksi. Setelah kegiatan dilaksanakan dilakukan analisis dari proses evaluasi dan refleksi kegiatan. Hasil evaluasi menunjukkan rata-rata peserta pelatihan mengalami peningkatan pengetahuan dan keterampilan sebesar 68,9%. Sedangkan hasil refleksi menjelaskan faktor pendukung dan kendala pelaksanaan. Adapun faktor pendukung yaitu adanya antusias peserta, dukungan kepala sekolah dan layanan internet yang lancar. Sedangkan faktor kendala antara lain adalah terdapat guru yang tidak membawa laptop, ada guru yang hampir pensiun dan merasa kurang membutuhkan pelatihan serta guru yang lupa akun email. Kata kunci: pembelajaran; materi; bahan ajar; metode PAR. Abstract In carrying out the learning process, teachers are required to be able to continuously carry out adaptive and up-to-date learning supported by advanced technology. The advanced technology that is often used is Artificial Intelligence. The community service team (PKM) and the principal of SD Negeri 13 Palembang conducted observations and had discussions. Based on their findings, they decided to conduct training activities that use AI in learning because they had no prior experience using it to support the learning process in terms of finding resources and teaching materials. Planning, action, evaluation, and reflection are the four stages of the Participatory Action Research (PAR) methods that were used in its execution. Following the completion of the task, an analysis of the assessment procedure and a contemplation of the task are conducted. According to the evaluation data, the typical training participant saw a 68.9% improvement in knowledge and abilities. In the meantime, the reflection's findings clarify the implementation's enabling elements and challenges. Enthusiastic participation, the principal's encouragement, and reliable internet access are the supporting aspects. In the meanwhile, teachers who forget their email accounts, are nearing retirement and believe they don't need training, and don't bring laptops are all restrictive factors. Keywords: learning; materials; teaching materials; PAR methods.
Sistem Pendukung Keputusan Penentuan Mutu Tanaman Karet (Studi Kasus PT. Hevea MK 1) Yulianti, Evi; Marcelina, Dona; Aulia, Muti’a Rahma
Jurnal Ilmiah Informatika Global Vol. 14 No. 1
Publisher : UNIVERSITAS INDO GLOBAL MANDIRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36982/jiig.v14i1.2976

Abstract

Determination of Product Quality of Hevea Brasiliensis (Rubber) at PT. Hevea MK 1 Palembang is very important in improving the quality of service to consumers. PT. Hevea MK 1 Palembang has not maximally utilized Information System Technology in determining the best quality of latex, resulting in a relatively long time in calculating the quality value of latex rubber, the need for Information Systems Technology that can support Decision Making to solve structured and unstructured problems. Based on the problems above, we need a system that can solve the quality problem of Hevea brasiliensis (rubber) sap, with the Decision Support System determining the quality of Hevea Brasiliensis (rubber) sap is expected to help and facilitate the company in choosing the type of superior rubber seeds. This study aims to determine the best quality of latex Hevea Brasiliensis rubber at PT. Hevea MK 1 Palembang uses the promethee method. The output of this application is in the form of an alternative decision with the highestranking value. The Decision Support System was developed using PHP and MySQL programming as a Database Management System (DBMS). System testing resulted in Rank 1, namely A2 with Leaving Flow = 0.583333, Entering Flow = 0, Net Flow = 0.583333 while Rank 2, namely A3 with Leaving Flow = 0.166667, Entering Flow = -0.25, Net Flow = -0 .8333 and Rank 3, namely A1 with Leaving Flow = 0, Entering Flow = 0.5, Net Flow = -0.5
Penerapan Metode Forecasting Dalam Menentukan Prediksi Jumlah Mahasiswa Baru Dengan Menggunakan Single Exponential Smoothing Rama Samudra, M.S; Marcelina, Dona; Terttiaavini; Yulianti, Evi; Coyanda, John Roni; Putri, Indah Pratiwi
Jurnal Ilmiah Informatika Global Vol. 15 No. 2: Agustus 2024
Publisher : UNIVERSITAS INDO GLOBAL MANDIRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36982/jiig.v15i2.3916

Abstract

Forecasting adalah suatu proses analisis untuk memprediksi nilai-nilai masa depan berdasarkan informasi data historis, atau tren yang telah ada. Forecasting melibatkan metode matematika, statistik, untuk menghasilkan perkiraan tentang apa yang mungkin terjadi di masa mendatang dengan mengumpulkan data historis jumlah mahasiswa baru yang mendaftar selama 11 tahun terakhir. Data harus mencakup periode waktu yang cukup lama untuk mengidentifikasi tren dan pola, kemudian analisis data historis untuk mengidentifikasi tren, musiman, atau fluktuasi lainnya. Analisis data dilakukan dengan menggunakan teknik analisis single exponential smooting akan memperhitungkan nilai alpha (konstanta smoothing) untuk menghasilkan perkiraan yang paling akurat. Analisis data menggunakan tiga nilai konstanta alpha 0.3, 0.6, 0.9 tersebut akan dipilih nilai alpha dengan nilai error terkecil, dan kemudian akan di aplikasikan pada sistem peramalan berbasis website. Melalui sistem berbasis website, informasi dapat dikelola secara efisien dan memungkinkan Universitas Indo Global Mandiri untuk mengoptimalkan proses penerimaan mahasiswa baru mereka. Dengan menerapkan metode peramalan ini dalam sistem berbasis website, Universitas Indo Global Mandiri dapat mengelola informasi secara efisien, yang pada gilirannya akan membantu mereka mengoptimalkan proses penerimaan mahasiswa baru. Analisis data dengan tingkat error terkecil, dapat diartikan bahwa metode peramalan tersebut telah memberikan hasil yang sangat mendekati dengan data aktual, sehingga dapat diandalkan untuk melakukan proyeksi ke depan.
The Digital Financial Literacy and FinTech in Green Finance Adoption among MSMEs in South Sumatra Purnamasari, Endah Dewi; Marcelina, Dona; John Roni Coyanda; Audia Stephani Syahputri; Sarah Haryani
Jurnal Ilmiah Ekonomi Global Masa Kini Vol. 16 No. 2 (2025): Vol. 16 No. 2
Publisher : Universitas Indo Global Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36982/jiegmk.v16i2.6187

Abstract

This study aims to analyze the influence of digital financial literacy and financial technology on the implementation of green finance among Micro, Small, and Medium Enterprises (MSMEs) in South Sumatra Province. The research employed a quantitative approach using a survey method by distributing questionnaires to 150 MSME actors across eight districts and cities. Data were analyzed through validity, reliability, classical assumption tests, and multiple linear regression analysis. The results indicate that digital financial literacy has a positive and significant effect on the implementation of green finance. MSME actors with a high level of digital literacy are better able to utilize technology-based financial services to manage their businesses efficiently and in an environmentally sustainable manner. In addition, financial technology also shows a positive and significant influence on green finance implementation, reflecting that the use of FinTech enhances transaction efficiency, transparency, and access to green financing for MSMEs. The coefficient of determination (R²) value of 0.648 indicates that digital financial literacy and financial technology jointly explain 64.8% of the variation in green finance implementation. These findings suggest that improving digital financial literacy and adopting financial technology are key factors in promoting the implementation of green finance and enhancing MSME performance to become more adaptive to the dynamics of the digital economy. Keywords: Digital Financial Literacy, Financial Technology, Green Finance, MSMEs.
Co-Authors Adi, Dian Abri AHMADI ALFIARINI, ALFIARINI Anandez, Arum Adisha Putra Audia Stephani Syahputri Aulia, Muti’a Rahma Cahyani, Septa Coyanda, John Roni Deni Apriadi DEWI SARTIKA Dhamayanti, Dhamayanti dikesuma, hendra Dopri Endah Dewi Purnamasari Evi Yulianti Firman Aziz Handoko Handoko Heryati, Agustina Imelda Saluza, Imelda Indah Permatasari John Roni Coyanda Pratiwi, Indah Putri Putri, Indah Pratiwi Rama Samudra, M.S Robi Yanto Romli, Harsi Sarah Haryani Suryati Terttiaaivini, Terttiaavini Terttiaavini Terttiaavini, Terttiaavini Terttiavini, Terttiavini Yance Manoppo Yulius, Yosef