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Analisis Pengembangan Sistem Informasi Manajemen Kesehatan (SIMKES) Menggunakan Metode Software Development Life Cycle (SDLC) di Dinas Kesehatan Kota Makassar: Analysis of the Development of Health Management Information System (SIMKES) Using the Software Development Life Cycle (SDLC) Method at the Makassar City Health Office Irwandi Rachman; Samsiana; Mujtahidah
Jurnal Kolaboratif Sains Vol. 9 No. 4: April 2026
Publisher : Universitas Muhammadiyah Palu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56338/jks.v9i4.10495

Abstract

Ketersediaan data kesehatan yang akurat dan terintegrasi merupakan aspek penting dalam perencanaan serta pengambilan keputusan pelayanan kesehatan. Namun, implementasi Sistem Informasi Manajemen Kesehatan (SIMKES) di Dinas Kesehatan Kota Makassar masih menghadapi tantangan, sehingga diperlukan analisis pengembangan menggunakan metode Software Development Life Cycle (SDLC) untuk menilai efektivitas dan keberlanjutannya. Tujuan: Penelitian ini bertujuan menganalisis proses pengembangan SIMKES berdasarkan kesesuaian tahapan SDLC serta mengidentifikasi hambatan dalam implementasi. Metode: Penelitian menggunakan pendekatan studi kasus melalui wawancara mendalam dan telaah dokumen dengan tiga informan kunci yang dipilih secara purposive sampling berdasarkan kriteria inklusi dan eksklusi. Hasil: Hasil penelitian menunjukkan bahwa penggunaan SIMKES di Dinas Kesehatan Kota Makassar berkontribusi positif terhadap pengumpulan, pengolahan, dan penyajian data kesehatan, meskipun tahapan SDLC seperti analisis kebutuhan, perancangan, pengujian, dan pemeliharaan belum berjalan optimal. Keterbatasan sumber daya manusia di bidang teknologi informasi dan ketergantungan pada vendor eksternal menjadi kendala utama. Kesimpulan: Diperlukan strategi peningkatan kapasitas SDM, pembentukan tim IT internal, serta perencanaan pengembangan yang lebih terstruktur untuk memastikan kualitas dan keberlanjutan SIMKES di Dinas Kesehatan Kota Makassar.
Analisis Deskriptif Proses Data to Information dalam Mendukung Pengambilan Keputusan di Fasilitas Kesehatan Regi Faula Sari; Defrika Muharani; Primacaeria Amri; Budi Hartono
RIGGS: Journal of Artificial Intelligence and Digital Business Vol. 5 No. 2 (2026): Mei-Juli
Publisher : Prodi Bisnis Digital Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/riggs.v5i2.8344

Abstract

Transformasi data menjadi informasi merupakan komponen krusial dalam sistem informasi kesehatan yang berperan penting dalam mendukung pengambilan keputusan di fasilitas pelayanan kesehatan. Ketersediaan data yang melimpah tidak secara otomatis menghasilkan keputusan yang tepat apabila tidak diolah secara sistematis, akurat, dan berkualitas. Permasalahan yang sering dihadapi dalam proses ini meliputi data yang tidak lengkap, inkonsistensi pencatatan, keterlambatan pelaporan, serta rendahnya pemanfaatan informasi dalam proses manajerial dan klinis. Kondisi tersebut menunjukkan adanya kesenjangan antara ketersediaan data dan pemanfaatannya sebagai dasar pengambilan keputusan. Penelitian ini bertujuan untuk menganalisis proses transformasi data menjadi informasi (data to information) dalam mendukung pengambilan keputusan, serta mengidentifikasi faktor-faktor yang memengaruhi efektivitas proses tersebut. Metode yang digunakan adalah literature review dengan pendekatan naratif terhadap berbagai jurnal nasional dan internasional yang diterbitkan dalam rentang tahun 2016 hingga 2026. Analisis difokuskan pada aspek kualitas data, proses pengolahan data, serta tingkat pemanfaatan informasi dalam pengambilan keputusan. Hasil penelitian menunjukkan bahwa efektivitas proses data to information sangat dipengaruhi oleh kualitas data yang dihasilkan, kompetensi sumber daya manusia dalam mengelola data, serta dukungan sistem informasi yang memadai. Proses yang optimal mencakup tahapan persiapan, pelaksanaan, hingga pemanfaatan informasi secara menyeluruh. Keterbatasan pada salah satu tahapan tersebut dapat menghasilkan informasi yang kurang akurat, sehingga berdampak pada kualitas keputusan dan kinerja fasilitas kesehatan. Kesimpulannya, diperlukan penguatan sistem informasi kesehatan, peningkatan kapasitas sumber daya manusia, serta penerapan pengelolaan data yang terstruktur dan berkelanjutan guna mendukung pengambilan keputusan berbasis informasi yang akurat dan tepat waktu.
Design of a Website-Based Medical Record Information System with QR Code for Fast Data Access: A Case at Dr. Radi Yarman’s General Practice Aghnia Putri; Utami Mizani Putri
RIGGS: Journal of Artificial Intelligence and Digital Business Vol. 5 No. 2 (2026): Mei-Juli
Publisher : Prodi Bisnis Digital Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/riggs.v5i2.8453

Abstract

Medical record data management at Dr. Radi Yarman's General Practice is currently still conducted manually using registration books and physical archives. This leads to several constraints, such as slow retrieval of patient medical history, risks of data loss or damage, and a lack of efficiency in patient services. This study aims to design and develop a website-based medical record information system integrated with QR Code technology to accelerate patient data access. The system development method used is the Waterfall model, which includes requirements analysis, system design, implementation, testing, and maintenance. The system design is modeled using Unified Modeling Language (UML) and Entity Relationship Diagram (ERD), while the implementation uses PHP programming language and MySQL database. The results show that the developed system is capable of digitalizing the medical recording process, storing data centrally, and accelerating patient identification through QR Code scanning. System testing was conducted using the Black Box Testing method to ensure functional features run as planned, as well as Usability Testing to assess ease of use. With this system, the doctor can manage patient visit history, diagnoses, and prescriptions more quickly, accurately, and securely, thereby improving the quality of health services at Dr. Radi Yarman's General Practice.
Assessment of User Satisfaction with Educational Management Information System in Southwestern Nigerian Universities Ayanlade, Oluwatoyin; Akinwole, Tinuade Oluwatosin; Oyebisi, Timothy Oyedepo
Studies in Learning and Teaching Vol. 7 No. 1 (2026): April
Publisher : CV Sinergi Ilmu dan Publikasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46627/silet.v7i1.832

Abstract

User satisfaction is a significant factor in ensuring the effective implementation and long-term viability of Educational Management Information Systems (EMIS) in higher education. This study examines the level of satisfaction among EMIS users in selected Nigerian universities, with specific attention to service quality, information quality, system quality, outcome expectations, and organizational factors. A mixed-methods approach was adopted, combining questionnaire surveys and semi-structured interviews among EMIS officers from state ministries of education, ICT personnel, university administrators, and students across six universities in Southwestern Nigeria. Quantitatively, three hundred copies of the questionnaire were administered among the students and staff (technology users) of the selected educational institutions using the EMIS technology and also among EMIS officers at the ministry of education in each of the states of the zone. Quantitative data were analyzed using mean ratings, while qualitative interview responses were analyzed thematically to provide contextual insight into user experiences. The mean ratings indicated that users were extremely satisfied with all the examined variables. Although this study's emphasis is on user satisfaction rather than administrative efficiency, it concluded that strengthening information quality, improving technical support services, and enhancing institutional commitment are essential for enhancing user satisfaction for sustainable use of EMIS in Nigerian universities.
Integration of Artificial Intelligence and Data Mining in Accounting Information Systems for Analysis of New Student Uptake Patterns: An Open University Case Study Paramitha, Diky; Riyani, Etik Ipda; Huey, Kan Wen
JASa (Jurnal Akuntansi, Audit dan Sistem Informasi Akuntansi) Vol. 10 No. 1 (2026): April
Publisher : Program Studi Akuntansi Universitas Langlangbuana Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36555/jasa.v10i1.2992

Abstract

Increased enrollment of new students is an important measure of the university's ability to meet the needs of Education. To remain relevant and competitive, institutions are increasingly expected to incorporate artificial intelligence (AI) technologies that improve data-driven decision-making. The combination of data mining methods and Accounting Information Systems, which utilize computational techniques to analyze vast data sets can reveal hidden patterns. This study investigates the application of artificial intelligence in creating a direct data mining tool that aims to identify trends in new student enrollment at the Open University. Using a research and development approach, the study examined admissions data from 2022 to 2024 to uncover underlying patterns and significant factors influencing enrollment dynamics. The results show that AI-integrated applications significantly improve the efficiency of data analysis while improving the reliability and usability of institutional data for strategic purposes. The study contributes to a larger conversation about how aligning AI implementation with institutional goals can drive innovation, accountability, and responsiveness in the context of open and distance learning. In summary, the findings imply that incorporating AI into data management and development processes provides greater clarity regarding future trends, making AI a powerful forecasting and decision-making resource for higher education institutions.
The Impact of the Regional Financial Management Information System (SIMDA), Human Resource Competency, and Internal Control Systems on the Quality of Financial Reports at the Education and Culture Office of North Labuhanbatu Regency Silaen, Aprilia Putri; Syafina, Laylan; Ilhamy, M Lathief
JASa (Jurnal Akuntansi, Audit dan Sistem Informasi Akuntansi) Vol. 10 No. 1 (2026): April
Publisher : Program Studi Akuntansi Universitas Langlangbuana Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36555/jasa.v10i1.3013

Abstract

This study aims to analyze the influence of the Regional Financial Management Information System (SIMDA), Human Resource Competency, and Internal Control Systems on the Quality of Financial Reports at the Education and Culture Office of North Labuhanbatu Regency. This study employs a quantitative approach using a survey method. The results indicate that, individually, the SIMDA does not have a significant effect on the quality of financial reports, whereas human resource competency does have a significant effect on the quality of financial reports. Meanwhile, the internal control system, when considered individually, also does not have a significant effect on the quality of financial reports. However, the results of the simultaneous test indicate that the SIMDA, human resource competency, and the internal control system collectively have a significant effect on the quality of financial reports at the Education and Culture Office of North Labuhanbatu Regency. These findings indicate that the quality of financial reports will be optimal if supported by adequate staff competence as well as integration between the SIMDA and the implementation of the internal control system. Thus, improving the quality of local government financial reports needs to focus on strengthening human resource competence accompanied by the optimized utilization of the SIMDA and the internal control system in an integrated manner.
Organizational Commitment, Management Accounting Information System Characteristics, and Managerial Performance: Evidence from Authorized Car Dealership Companies Agusty, Rizka Rahma; Noor, Julfan Herliansyah
JASa (Jurnal Akuntansi, Audit dan Sistem Informasi Akuntansi) Vol. 10 No. 1 (2026): April
Publisher : Program Studi Akuntansi Universitas Langlangbuana Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36555/jasa.v10i1.3031

Abstract

This study examines the effect of organizational commitment and Management Accounting Information System (MAIS) characteristics on managerial performance in Authorized Car Dealership Companies. Managerial performance plays an important role in ensuring operational efficiency, business sustainability, and organizational competitiveness, particularly in companies operating in highly competitive sales and service environments. However, limited studies have specifically examined authorized car dealership companies, despite their unique operational complexity involving sales, service, spare parts management, customer relationship handling, and strict principal-dealer performance standards. This study addresses this gap by integrating organizational commitment and MAIS characteristics into a single empirical model within the automotive dealership sector. This study employed a quantitative approach using descriptive and verification methods. The total population consisted of 87 Authorized Car Dealership Companies, from which 42 companies were selected as research samples using probability sampling with a simple random sampling technique. Primary data were collected through questionnaires distributed to managerial-level respondents, while secondary data were obtained from company documents and relevant literature. Data analysis was conducted using Structural Equation Modeling–Partial Least Squares (SEM-PLS) with SmartPLS version 4.0. The results show that organizational commitment has a significant positive effect on managerial performance. In addition, the characteristics of MAIS also have a significant positive effect on managerial performance. However, the normative commitment dimension, as well as the broad scope and aggregation dimensions of MAIS, have not yet reached optimal conditions and require further improvement. This study contributes to the literature by extending managerial performance research into the automotive dealership sector and provides practical implications for improving managerial effectiveness through stronger organizational commitment and better accounting information system quality
The Influence of Total Quality Management (TQM) and Characteristics of Management Accountig Information Systems on Managerial Performance Sundari, Siti Asyiah; Ainunnisa, Rarassatika
JASa (Jurnal Akuntansi, Audit dan Sistem Informasi Akuntansi) Vol. 10 No. 1 (2026): April
Publisher : Program Studi Akuntansi Universitas Langlangbuana Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36555/jasa.v10i1.3032

Abstract

Managerial performance is one of the key determinants of organizational success, particularly in food manufacturing companies where operational efficiency, product quality, and strategic decision-making are highly dependent on managerial effectiveness. Two important factors that may influence managerial performance are Total Quality Management (TQM) and the Characteristics of Management Accounting Information Systems (MAIS). The implementation of TQM supports continuous improvement, customer focus, employee involvement, and process control, while the characteristics of MAIS—such as broad scope, timeliness, aggregation, and integration—provide managers with relevant and timely information for planning, controlling, and decision-making. This study aims to examine the influence of Total Quality Management and the Characteristics of Management Accounting Information Systems on Managerial Performance in food manufacturing companies in Indonesia. This research adopts a quantitative approach using descriptive and explanatory (verification) methods. Primary data were collected through structured questionnaires distributed to 40 food manufacturing companies in Indonesia, represented by managers, supervisors, department heads, and finance controllers who are directly involved in managerial decision-making processes. The sampling technique used was probability sampling with a simple random sampling method. Data were analyzed using Structural Equation Modeling–Partial Least Squares (SEM-PLS) with SmartPLS software. The results indicate that Total Quality Management has a positive and significant effect on Managerial Performance. Likewise, the Characteristics of Management Accounting Information Systems also have a positive and significant effect on Managerial Performance. These findings indicate that better quality management practices and stronger accounting information system characteristics contribute significantly to improving managerial effectiveness. This study contributes to the literature by integrating TQM and MAIS characteristics as complementary managerial control mechanisms in the context of food manufacturing companies in an emerging economy. Practically, the findings provide important implications for managers in improving operational excellence, strategic decision-making, and long-term organizational competitiveness.
Design and Implementation of Information Systems for Efficient Big Data Processing Apriadi, Deni; Anjani, Dewi; Risal, Andi Alviadi Nur; Triana, Yaya Sudarya; Mubarak, Husni
Jurnal Komputer Teknologi Informasi Sistem Komputer (JUKTISI) Vol. 5 No. 1 (2026): Juni 2026
Publisher : LKP KARYA PRIMA KURSUS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62712/juktisi.v5i1.1014

Abstract

The rapid growth of data volume, velocity, and variety has created significant challenges for traditional information systems, which are often unable to process large-scale data efficiently. This study aims to design and implement an efficient information system for big data processing using a distributed computing approach. The research adopts a systematic and experimental method consisting of system design, implementation, and performance evaluation. The proposed system is developed using a distributed architecture with parallel processing mechanisms to improve scalability and resource utilization. Performance evaluation is conducted using key metrics, including processing time, throughput, and efficiency improvement percentage, based on experimental testing with datasets ranging from 1 GB to 10 GB. The results show that the proposed system consistently reduces processing time and increases throughput compared to the baseline system. The system achieves efficiency improvements ranging from 33.3% to 36.9%, exceeding the predefined success indicator of 30%. These findings demonstrate that the integration of distributed computing and optimized system architecture significantly enhances big data processing performance. Therefore, the proposed system provides a scalable and practical solution for handling large-scale data processing in modern information systems.
Enhancement of Supervised Learning Models for Intrusion Detection Through Mutual Information and Hyperparameter Tuning Jollyta, Deny; Makaruku, Yoakhina Nicole; Hajjah, Alyauma; Marlim, Yulvia Nora
MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer Vol. 25 No. 2 (2026)
Publisher : Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/matrik.v25i2.5760

Abstract

Enhancing the performance of supervised learning algorithms through feature and hyperparameter testing remains challenging for users, particularly when detecting computer network intrusions. There are opportunities to assess whether a supervised learning algorithm performs optimally, depending on the number of features and the choice of hyperparameters. The purpose of this research is to enhance the network intrusion detection performance of three supervised learning algorithms, namely Support Vector Machine (SVM), eXtreme Gradient Boosting, and Random Forest, by using the Mutual Information feature selection approach and hyperparameter tuning. Mutual Information measures the dependency of features on the target. Features with high values are the most informative. Hyperparameters are not learned from the data; they are set before training begins. Hyperparameters are selected in accordance with the requirements of the three algorithms via iterative training and testing on the NSL-KDD dataset. The dataset was split into 80:20, 70:30, and 60:40. The results showed that the fifteen features with the highest mutual information were identified and trained on the data using appropriate hyperparameters. By splitting the data in an 80:20 ratio, the accuracy of Support Vector Machine reached its maximum, increasing from 90% to 98%. In contrast, eXtreme Gradient Boosting and Random Forest reached their maximum, increasing from 97% and 98% to 100%, respectively. The study’s findings advance our understanding of how algorithm performance depends on feature and hyperparameter selection.

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