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All Journal Jurnal Teknologi Informasi dan Ilmu Komputer Jurnal Informatika dan Teknik Elektro Terapan Sinkron : Jurnal dan Penelitian Teknik Informatika Journal of Information Technology and Computer Science Knowledge Engineering and Data Science JOURNAL OF APPLIED INFORMATICS AND COMPUTING JURIKOM (Jurnal Riset Komputer) TEKTRIKA - Jurnal Penelitian dan Pengembangan Telekomunikasi, Kendali, Komputer, Elektrik, dan Elektronika Jurnal Ilmu Komputer dan Desain Komunikasi Visual Jurnal Mnemonic JATI (Jurnal Mahasiswa Teknik Informatika) CICES (Cyberpreneurship Innovative and Creative Exact and Social Science) Jurnal Sistem Komputer dan Informatika (JSON) Community Development Journal: Jurnal Pengabdian Masyarakat TIN: TERAPAN INFORMATIKA NUSANTARA Jurnal Teknologi Informatika dan Komputer Jurnal Teknik Informatika (JUTIF) Jurnal Restikom : Riset Teknik Informatika dan Komputer Nusantara Hasana Journal Jurnal Informatika Terpadu International Journal Software Engineering and Computer Science (IJSECS) Jurnal Sistem Informasi Triguna Dharma (JURSI TGD) Jurnal Pengabdian Masyarakat Bhinneka Prosiding Seminar Nasional Pengabdian Kepada Masyarakat Jikom: Jurnal Informatika dan Komputer Jurnal Penelitian Sistem Informasi ROUTERS: Jurnal Sistem dan Teknologi Informasi Jurnal Pengabdian Sosial The Journal of Enhanced Studies in Informatics and Computer Applications Proceeding International Conference Of Innovation Science, Technology, Education, Children And Health Proceeding International Conference Of Innovation Science, Technology, Education, Children And Health Jati Emas (Jurnal Aplikasi Teknik dan Pengabdian Masyarakat) Journal of World Future Medicine, Health and Nursing
M. Syauqi Haris
Institut Teknologi, Sains, Dan Kesehatan RS Dr Soepraoen Kesdam V/Brw, Indonesia
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ANALISIS DAN VISUALISASI DATAPENDERITA PENYAKIT DBD DI SITUBONDO MENGGUNAKAN PLATFORM TABLEAU Basmalah Abirestu Maulisuriandhy; M. Syauqi Haris; Ahsanun naseh Khudori
Nusantara Hasana Journal Vol. 4 No. 2 (2024): Nusantara Hasana Journal, July 2024
Publisher : Yayasan Nusantara Hasana Berdikari

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59003/nhj.v4i2.1159

Abstract

Cases of dengue fever in Situbondo are very fluctuating and unpredictable. This shows that dengue fever is still a problem that requires serious health attention. The infectious disease dengue fever is caused by the bite of the Aedes aegypti mosquito. Fluctuations in dengue fever cases are due to erratic rainfall. Sometimes rainfall is higher and the rainy season is longer. On the other hand, sometimes rainfall is relatively lower and the dry season is longer. This research aims to analyze and visualize data on dengue fever sufferers in Situbondo using the Tableau platform. The data used is map data per region or spatial data that has geographical references and historical data on dengue fever patients in Situbondo from 2016 to 2022. Data was obtained from the website Tanahair.indonesia.go.id and the Situbondo Community Health Center. The research results show that data visualization using Tableau can produce good, effective, interesting and efficient information. The results of data visualization of dengue fever sufferers in Situbondo showed that there were 2 cases of death. Cases of dengue fever sufferers are spread throughout all villages in Situbondo. It is hoped that the results of this research can help in adopting appropriate policies to control dengue fever in Situbondo.
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
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
ANALISIS KEBUTUHAN PENGGUNA APLIKASI MOBILE PEMESANAN LAYANAN KESEHATAN DI KLINIK PRATAMA MENGGUNAKAN USER PERSONA DAN USER JOURNEY Yaniar Ramdani, Dandi; Naseh Khudori, Ahsanun; Syauqi Haris, M
JATI (Jurnal Mahasiswa Teknik Informatika) Vol. 9 No. 4 (2025): JATI Vol. 9 No. 4
Publisher : Institut Teknologi Nasional Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36040/jati.v9i4.13854

Abstract

Transformasi digital dalam pelayanan kesehatan menjadi prioritas untuk meningkatkan efisiensi dan aksesibilitas. Namun, banyak aplikasi kesehatan belum sepenuhnya memenuhi kebutuhan pengguna, dari sisi fungsionalitas maupun non-fungsionalitas. Berdasarkan data dari Kementerian Kesehatan, lebih dari 40% masyarakat masih belum memanfaatkan aplikasi kesehatan yang tersedia, termasuk untuk pemesanan layanan. Hal ini juga menjadi masalah bagi klinik pratama yang belum memiliki sistem digital, sehingga proses pendaftaran, pencatatan rekam medis, akses informasi manual menghambat pasien dan tenaga kesehatan dalam mengelola layanan kesehatan. Penelitian ini bertujuan untuk menganalisis kebutuhan pengguna dalam pengembangan aplikasi pemesanan layanan kesehatan di klinik pratama menggunakan pendekatan User Persona dan User Journey. Penelitian ini menggunakan mixed methods dengan pendekatan exploratory sequential design. Pendekatan ini bertujuan mengeksplorasi kebutuhan pengguna melalui wawancara mendalam dan observasi langsung sebelum divalidasi dengan data kuantitatif, hasilnya rekomendasi fitur akurat dan berbasis bukti. Analisis data kualitatif dilakukan secara tematik untuk menyusun user persona dan memetakan user journey dilanjutkan analisis data kuantitatif guna memperkuat temuan data kualitatif berupa prioritas fitur. Hasil analisis menunjukkan fitur dengan prioritas tertinggi adalah janji temu dengan dokter (skor 74), pendaftaran online (skor 72), Rekam Medis Elektronik (skor 72), pembayaran online (skor 71), fitur nomor antrian digital (skor 66), dan jadwal dokter (skor 64) menjadi bagian penting dalam meningkatkan efisiensi layanan. Dari aspek non-fungsionalitas, kebutuhan utama meliputi keamanan dan privasi data (skor 74), kecepatan dan performa aplikasi (skor 73), kemudahan penggunaan (skor 73). Temuan ini memberikan kontribusi signifikan dalam perancangan aplikasi mobile yang lebih responsif dan sesuai kebutuhan pengguna, baik dari sisi pasien maupun tenaga kesehatan.
ANALISIS PENERIMAAN SISTEM PENDAFTARAN ONLINE PASIEN RAWAT JALAN DI RS RADJIMAN WEDIODININGRAT MENGGUNAKAN TEKNOLOGY ACCEPTANCE MODEL Wisam Syahputra, Kelvin; Haris, M. Syauqi; Siwi Pradini, Risqy
JATI (Jurnal Mahasiswa Teknik Informatika) Vol. 9 No. 4 (2025): JATI Vol. 9 No. 4
Publisher : Institut Teknologi Nasional Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36040/jati.v9i4.13917

Abstract

Perkembangan teknologi informasi dalam layanan kesehatan telah mendorong digitalisasi sistem pendaftaran pasien untuk meningkatkan efisiensi dan kenyamanan. Penelitian ini menganalisis penerimaan sistem pendaftaran online pasien rawat jalan di RS Radjiman Wediodiningrat menggunakan Technology Acceptance Model (TAM) dengan menambahkan aksesibilitas sebagai variabel eksternal. Metode kuantitatif dengan desain cross-sectional diterapkan pada 100 responden. Hasil pengujian hipotesis menunjukkan bahwa enam variabel yang diuji Perceived Usefulness (PU), Perceived Ease of Use (PEOU), Attitude Toward Using (ATU), dan Behavioral Intention (BI), Actual System Use (ASU), dan Accessibility (AC) berpengaruh signifikan terhadap penerimaan sistem (nilai sig. < 0,05). Aksesibilitas juga terbukti berpengaruh positif terhadap PU (koefisien 0,646) dan PEOU (koefisien 0,759). Temuan ini menunjukkan bahwa peningkatan kemudahan akses dan antarmuka pengguna yang baik dapat mendorong adopsi teknologi oleh pasien. Implikasi praktis dari penelitian ini menyarankan RS Radjiman Wediodiningrat untuk memperbaiki infrastruktur sistem guna meningkatkan pengalaman pengguna dan efisiensi layanan.
UI/UX Design of Pratama Clinic Mobile Application Based on User Cultural Dimensions with User-Centered Design (UCD) Approach Iqbal, Ahmad; Khudori, Ahsanun Naseh; Haris, M. Syauqi
Jurnal Teknologi Informatika dan Komputer Vol. 11 No. 2 (2025): Jurnal Teknologi Informatika dan Komputer
Publisher : Universitas Mohammad Husni Thamrin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37012/jtik.v11i2.2645

Abstract

Digital transformation has brought significant changes to various sectors, including healthcare. Digital technology, particularly mobile applications, enables increased efficiency, accessibility, and service quality. In the context of digital healthcare, effective user interface (UI) and user experience (UX) design are key factors in increasing application adoption by users. This study aims to design a mobile application for Klinik Pratama using a User-Centered Design (UCD) approach and integrating local cultural values in Malang City to improve accessibility and user satisfaction. This study uses quantitative methods. Data collection techniques include in-depth interviews with respondents, participant observation, and prototype evaluation using the System Usability Scale (SUS). The cultural dimensions used include Power Distance, Collectivism, Uncertainty Avoidance, Masculinity vs. Femininity, and Long-Term Orientation, which are then implemented in UI design elements. The evaluation results show that the integration of UCD with a culture-based approach can significantly increase the application's usability value, with an average SUS score of 86.75 for patients, 87.5 for doctors, and 85.83 for administrative staff. All scores are included in the 'Good' category with a letter grade of 'B' based on the interpretation of the SUS standard. These findings confirm that a user-oriented design approach to culture can promote the inclusivity and effectiveness of primary digital health services through design strategies that are adaptive to local culture.
KOMPARASI ALGORITMA BOOSTING UNTUK PREDIKSI GANGGUAN TIDUR Mawardi, Ade Bagus; Pradini, Risqy Siwi; Haris, M. Syauqi
Jurnal Informatika dan Teknik Elektro Terapan Vol. 13 No. 3 (2025)
Publisher : Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jitet.v13i3.7281

Abstract

Gangguan tidur merupakan salah satu permasalahan kesehatan yang dapat berdampak pada kualitas hidup seseorang. Dalam upaya meningkatkan akurasi prediksi gangguan tidur, teknologi kecerdasan buatan telah banyak dimanfaatkan, khususnya melalui pendekatan algoritma machine learning. Penelitian ini bertujuan untuk melakukan komparasi terhadap lima algoritma boosting, yaitu AdaBoost, CatBoost, LightGBM, Gradient Boosting, dan XGBoost menggunakan dataset Sleep Health and Lifestyle. Adapun tahap penelitian yang dilakukan meliputi pengumpulan data, prapemrosesan data, normalisasi, serta evaluasi model. Berdasarkan hasil evaluasi, algoritma CatBoost menunjukkan performa paling unggul dibandingkan dengan algoritma lainnya. Hasil evaluasi menunjukkan bahwa algoritma CatBoost memberikan performa terbaik dengan akurasi sebesar 97,37%, presisi 96,29%, recall 95,83%, dan F1-score 95,82%. Hasil analisis menunjukkan bahwa keunggulan CatBoost berasal dari kemampuannya dalam menangani fitur kategorikal secara langsung tanpa memerlukan encoding tambahan, serta kemampuannya dalam mengurangi overfitting dibandingkan dengan metode boosting lainnya. Temuan ini menunjukkan bahwa model prediksi berbasis boosting khususnya CatBoost dapat dijadikan alat bantu yang efektif dalam deteksi gangguan tidur secara lebih akurat.
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 Abda Abda ACHMAD JAELANI RUSDI Ahsanun N. Khudori Ahsanun Naseh Khudori Ahsanun Naseh Khudori Alan Wahyu Hafiludin Anwar, David Saiful Arif Wahyudi Bagus Prasetyo Abdi , Benben Basmalah Abirestu Maulisuriandhy Busatto Marilia Carrina A. Tesa Dinda Chesar Putri Ramadhani Faridatus Sholikhah Faridatus Sholikhah Fatwa Ramdani, Fatwa Faurika Faurika, F Faurika, Faurika Ferdy Riza Firahmi Rizky Fita Rusdian Ikawati Galank Rasta Fariant Geraldo, Tostes Herry Prasetyo Wibowo Hevlie Winda Nazry S Khofida, Nisa Magdalena Amelia Rizky Marilia, Busatto Mawardi, Ade Bagus Mika Debora Br Barus Mochammad Anshori Mourryn Galuh Erawati Nindynar Rikatsih Nugroho Teguh Yuono Putri, Eka Mardiana Putriana, Rena Risqy Siwi Pradini Risqy Siwi Pradini Risqy Siwi Pradini Risqy Siwi Pradini Saletia, Maria Claudia Tostes Geraldo Tri Astoto Kurniawan, Tri Astoto Wahyu Teja Kusuma Wahyu Teja Kusuma Wahyu Tejakusuma, Wahyu Wisam Syahputra, Kelvin Yaniar Ramdani, Dandi Zuli Agustina Gultom