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All Journal Jurnal Teknologi Informasi dan Ilmu Komputer Journal of Information Technology and Computer Science Knowledge Engineering and Data Science JOURNAL OF APPLIED INFORMATICS AND COMPUTING TEKTRIKA - Jurnal Penelitian dan Pengembangan Telekomunikasi, Kendali, Komputer, Elektrik, dan Elektronika Jurnal Ilmu Komputer dan Desain Komunikasi Visual Jurnal Mnemonic CICES (Cyberpreneurship Innovative and Creative Exact and Social Science) Community Development Journal: Jurnal Pengabdian Masyarakat Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Jurnal Teknik Informatika (JUTIF) Jurnal Restikom : Riset Teknik Informatika dan Komputer Nusantara Hasana Journal Jurnal Sistem Informasi Triguna Dharma (JURSI TGD) Jurnal Pengabdian Masyarakat Bhinneka Prosiding Seminar Nasional Pengabdian Kepada Masyarakat ROUTERS: Jurnal Sistem dan Teknologi Informasi Journal of World Future Medicine, Health and Nursing The Journal of Enhanced Studies in Informatics and Computer Applications Proceeding International Conference Of Innovation Science, Technology, Education, Children And Health
M. Syauqi Haris
Institut Teknologi, Sains, Dan Kesehatan RS Dr Soepraoen Kesdam V/Brw, Indonesia
Agriculture, Biological Sciences & Forestry Arts Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Medicine & Pharmacology Nursing Public Health Social Sciences Veterinary

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Model Optimasi Model Optimasi Rute Transportasi Berbasis Pemrograman Linear Nazry, Hevlie Winda Nazry S; Ferdy Riza; Firahmi Rizky; Zuli Agustina Gultom; Muhammad Haris; Mika Debora Br Barus
Jurnal Sistem Informasi Triguna Dharma (JURSI TGD) Vol. 4 No. 1 (2025): EDISI JANUARI 2025
Publisher : STMIK Triguna Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53513/jursi.v4i1.10586

Abstract

Transportasi merupakan salah satu elemen penting dalam mendukung aktivitas logistik dan distribusi. Efisiensi dalam perencanaan rute transportasi dapat mengurangi biaya operasional, waktu tempuh, serta dampak lingkungan. Penelitian ini bertujuan untuk mengembangkan model optimasi rute transportasi berbasis pemrograman linear yang mampu memberikan solusi optimal dalam penentuan rute. Model ini mempertimbangkan berbagai parameter, seperti jarak, waktu, kapasitas kendaraan, dan batasan operasional. Pendekatan pemrograman linear untuk menemukan solusi optimal terkait penentuan rute pengiriman yang efisien, dengan memperhatikan berbagai kendala seperti kapasitas kendaraan, permintaan pelanggan, dan waktu pengiriman. Model ini terdiri dari fungsi objektif yang meminimalkan total biaya transportasi, sementara kendala yang diterapkan meliputi batasan kapasitas kendaraan, pemenuhan permintaan pelanggan, dan batasan waktu perjalanan. Hasil penelitian menunjukkan bahwa penerapan model ini berhasil menghasilkan solusi yang optimal, dengan mengurangi biaya total pengiriman secara signifikan, sekaligus memenuhi semua persyaratan dan batasan yang ada. Model ini memberikan kontribusi dalam peningkatan efisiensi pengelolaan rute transportasi dan dapat diadaptasi untuk berbagai jenis sistem distribusi yang lebih kompleks
Challenges in Implementing Digital Medical Records in Indonesian Hospitals: Perspectives on Technology, Regulation, and Data Security Fita Rusdian Ikawati; M. Syauqi Haris
Proceeding of The International Conference of Inovation, Science, Technology, Education, Children, and Health Vol. 4 No. 2 (2024): Proceeding of The International Conference of Inovation, Science, Technology, E
Publisher : Program Studi DIII Rekam Medis dan Informasi Kesehatan

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The implementation of digital medical records in Indonesian hospitals faces various challenges, especially in terms of technological readiness, inadequate regulations, and data security threats that need to be addressed to ensure efficient and safe healthcare services. This study aims to identify the challenges in Digital Medical Record Implementation from the perspective of technology, regulation, and data security. This study used a systematic literature review research approach guided by the Preferred Reposrting Items for Systematic Review and Meta-Analysis (PRISMA). The results showed that the implementation of digital medical records in Indonesian hospitals faces considerable challenges from three main perspectives, namely technology, regulation, and data security. The technology perspective includes several challenges such as 1) System Interoperability, 2) Privacy, 3) IT Infrastructure Limitations, 4) Implementation Costs and 5) Maintenance and Technology Adoption by Medical Staff. The regulatory perspective includes challenges such as 1) Regulatory Compliance, 2) Patient Data Protection, 3) Validity of Medical Records, 4) Long-term Data Retention and 5) System Interoperability. The data security perspective includes challenges such as 1) Infrastructure Security, 2) Data Encryption, 3) Access Control, 4) Incident Response and 5) Regular Security Audits. Thus, collaborative efforts between the government, hospitals and technology providers are needed to address these challenges and drive safe and effective digital transformation in Indonesia's healthcare sector.
Automated Features Extraction from Software Requirements Specification (SRS) Documents as The Basis of Software Product Line (SPL) Engineering Haris, M Syauqi; Kurniawan, Tri Astoto; Ramdani, Fatwa
Journal of Information Technology and Computer Science Vol. 5 No. 3: Desember 2020
Publisher : Faculty of Computer Science (FILKOM) Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1330.912 KB) | DOI: 10.25126/jitecs.202053219

Abstract

Extractive Software Product Line Engineering (SPLE) puts features on the foremost aspect in domain analysis that needs to be extracted from the existing system's artifact. Feature in SPLE, which is closely related to system functionality, has been previously studied to be extracted from source code, models, and various text documents that exist along the software development process. Source code, with its concise and normative standard, has become the most focus target for feature extraction source on many kinds of research. However, in the software engineering principle, the Software Requirements Specification (SRS) document is the basis or main reference for system functionality conformance. Meanwhile, previous researches of feature extraction from text document are conducted on a list of functional requirement sentences that have been previously prepared, not literally SRS as a whole document. So, this research proposes direct processing on the SRS document that uses requirement boilerplates for requirement sentence statement. The proposed method uses Natural Language Processing (NLP) approach on the SRS document. Sequence Part-of-Speech (POS) tagging technique is used for automatic requirement sentence identification and extraction. The features are acquired afterward from extracted requirement sentences automatically using the word dependency parsing technique. Besides, mostly the previous researches about feature extraction were using non-public available SRS document that remains classified or not accessible, so this work uses selected SRS from publicly available SRS dataset to add reproducible research value. This research proves that requirement sentence extraction directly from the SRS document is viable with precision value from 64% to 100% and recall value from 64% to 89%. While features extraction from extracted requirement sentences has success rate from 65% to 88%.
MOBILE APPLICATION DEVELOPMENT FOR CHRONIC DISEASES RECORDING OF ARMY MEMBERS Haris, M Syauqi; Bagus Prasetyo Abdi , Benben; Teja Kusuma, Wahyu
Jurnal Mnemonic Vol 8 No 1 (2025): Mnemonic Vol. 8 No. 1
Publisher : Teknik Informatika, Institut Teknologi Nasional malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36040/mnemonic.v8i1.13693

Abstract

Health services for army personnel play a crucial role in supporting military readiness and national defense. However, the current chronic disease data collection for army members is still conducted manually, causing inefficiencies in updating health information and hindering prompt promotive and preventive actions. This situation highlights the urgency for an integrated and accessible information system that allows health officers to monitor chronic illness cases more efficiently, especially in supporting early interventions and reducing curative and rehabilitative workloads. This research presents the development of a Mobile Device Application designed specifically for chronic disease data recording among army members, implemented in the Brawijaya Military Regional Health Unit (Kesdam V Brawijaya). The application, which is an expansion of the previously developed RAPI (Realtime Accountable Professional Integrative) system, utilizes Progressive Web App (PWA) technology to ensure accessibility and flexibility for users. The development followed the System Development Life Cycle (SDLC) methodology, with features tailored to stakeholder requirements, such as data grouping, diagnosis tracking, check-up history, and real-time reporting. The testing phase showed valid results for all system functionalities and confirmed compatibility across various smartphone types. The application successfully met all functional specifications and user needs, enabling faster access to health data, supporting preventive action planning, and reducing delays in chronic disease treatment monitoring. In conclusion, this application offers an effective, user-friendly, and scalable solution to improve health service delivery and chronic disease management for military personnel
Application of Internet of Things in the Field of Staple Food Commodity Agriculture: Literature Review Khofida, Nisa; M. Syauqi Haris; Mochammad Anshori
Jurnal RESTIKOM : Riset Teknik Informatika dan Komputer Vol 7 No 2 (2025): Agustus
Publisher : Program Studi Teknik Informatika Universitas Nusa Putra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52005/restikom.v7i2.436

Abstract

Kebutuhan akan pertanian yang efisien, produktif, dan berkelanjutan di Indonesia menuntut penerapan teknologi modern. Salah satu teknologi The need for efficient, productive, and sustainable agriculture in Indonesia demands the application of modern technology. One technology that offers significant solutions is the Internet of Things (IoT). This study presents a systematic literature review on the application of IoT to staple food commodity agriculture in Indonesia, with a focus on the use of soil sensors, automatic irrigation systems, and real-time data integration. The Systematic Literature Review (SLR) method was used to analyze 44 selected articles published between 2019 and 2024. The results of the study show that IoT technology contributes greatly to increasing water use efficiency, reducing operational costs, and increasing crop yields. In addition, the integration of this technology also has positive implications for the social and economic aspects of local agriculture. This study aims to provide an in-depth understanding of technology trends and development methods used, as well as identifying implementation challenges in the field. These findings are expected to be an important reference for academics, practitioners, and policy makers in formulating IoT-based agricultural development strategies in the future.
Comparing Different KNN Parameters Based on Woman Risk Factors to Predict the Cervical Cancer Saletia, Maria Claudia; Anshori, Mochammad; Haris, M Syauqi
Journal of Applied Informatics and Computing Vol. 9 No. 5 (2025): October 2025
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v9i5.10746

Abstract

Cervical cancer remains a major cause of mortality among women, particularly in low-resource regions where access to conventional screening is limited. Early detection through predictive modeling offers a low-cost and non-invasive alternative to clinical diagnostics. This study aims to evaluate the effectiveness of the k-Nearest Neighbors algorithm for predicting cervical cancer risk using behavioral and psychosocial attributes. The research utilized the publicly available Sobar cervical cancer behavioral dataset comprising 72 instances with 18 input features and a binary target label. Data preprocessing included removal of incomplete records, encoding of categorical variables, and normalization. The algorithm was tested across varying numbers of neighbors and distance metrics, with performance evaluated using 10-fold cross-validation and multiple classification metrics. The optimal configuration was achieved with three neighbors and the Manhattan distance metric, yielding an accuracy of 93.06%, sensitivity of 93.10%, specificity of 85.90%, precision of 93.10%, F1-score of 92.90%, and an area under the curve of 0.8952. This performance surpassed the reported baseline of a probabilistic classifier and demonstrated the algorithm’s capability to capture complex behavioral patterns associated with cervical cancer risk. These findings confirm the feasibility of applying optimized instance-based learning to behavioral data for early cancer risk assessment. The approach offers potential for integration into community health programs to support early detection and prevention strategies.
Co-Authors Ahsanun Naseh Khudori Anwar, David Saiful Arif Wahyudi Bagus Prasetyo Abdi , Benben Basmalah Abirestu Maulisuriandhy Fatwa Ramdani, Fatwa Faurika Faurika, F Faurika, Faurika Ferdy Riza Firahmi Rizky Fita Rusdian Ikawati Geraldo, Tostes Herry Prasetyo Wibowo Hevlie Winda Nazry S Khofida, Nisa Marilia, Busatto Mika Debora Br Barus Mochamad Anshori Nindynar Rikatsih Nindynar Rikatsih Nugroho Teguh Yuono Risqy Siwi Pradini Saletia, Maria Claudia Tri Astoto Kurniawan Tri Astoto Kurniawan, Tri Astoto Wahyu Tejakusuma, Wahyu Zuli Agustina Gultom