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PEMODELAN UML SISTEM INFORMASI PERPUSTAKAAN PADA USN PAPUA Nadia Nadia; Ghina Tripasha, Fheisyach Artianshal Karubun, Dwi andiyani, Grace Adelin Rumbairusy, grisye f silaho
HUMANITIS: Jurnal Homaniora, Sosial dan Bisnis Vol. 2 No. 11 (2025): HUMANITIS : Jurnal Humaniora, Sosial dan Bisnis
Publisher : ADISAM PUBLISHER

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

Abstract

Libraries are an important component in supporting the teaching and learning process in educational institutions, including at the University of Science and Technology (USN) Papua. To improve the efficiency of data management and information services, a structured and easily developed web-based library information system is needed. This study aims to design a library information system using the Unified Modelling Language (UML) approach as a modelling tool. The diagrams used include activity diagrams and class diagrams to illustrate business processes such as book data management, member management, borrowing, returning, and reporting. The modelling results show a systematic workflow and the interrelationships between entities in the system. With this modelling, it is hoped that the development of a library information system at USN Papua can be carried out more effectively and support digital transformation in academic services
Detection of Tinea Skin Disease Using Convolutional Neural Network (CNN) Method Patmawati Hasan; Nourman Satya Irjanto; Fifian Theresia Sibi
Simetris: Jurnal Teknik Mesin, Elektro dan Ilmu Komputer Vol. 17 No. 1 (2026): JURNAL SIMETRIS VOLUME 17 NO 1 TAHUN 2026
Publisher : Fakultas Teknik Universitas Muria Kudus

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24176/simet.v17i1.15220

Abstract

The skin disease tinea, caused by a dermatophyte fungal infection, is a significant health concern and can affect the quality of life of sufferers. Early detection of this disease is essential to prevent its spread, especially in areas with limited specialized medical personnel. This study aims to develop a tinea skin disease detection system using the Convolutional Neural Network (CNN) method, which can classify three types of tinea, namely Tinea Pedis, Tinea Manuum, and Tinea Corporis. The dataset used consists of 1,146 images of skin lesions equally divided into three categories, with each category containing 382 images representing different stages of disease symptoms. This dataset was processed through preprocessing techniques, including image cropping, scaling, contrast adjustment, and data augmentation to improve the training quality of the model. The developed CNN model has a structure of 8 convolutional layers and was trained using 80% training data and 20% validation data. The training results showed that the model achieved 75% accuracy on the training data and 85% on the validation data after 20 epochs, with consistent loss reduction. These results show that the CNN model can detect tinea skin disease with high enough accuracy and can be used as a diagnosis aid for medical personnel, especially in areas that lack specialists. The developed web-based application allows users to upload images and receive diagnosis results directly, providing convenience in early detection of tinea skin disease. This research makes an important contribution to the development of technological solutions in the improvement of health services in areas with limited medical resources.
Sistem Pakar Deteksi Gangguan Jaringan Komputer Pada Jaringan LAN Menggunakan Metode Forward Chaining videl kobak; Adi Israel W.C.R Peday; Astrin Aprilia Umasugi; Juan Philbert Artori Kris; Patmawati Hasan
Tamilis Synex: Multidimensional Collaboration Analysis of the Influence of Performance on Company Value and Purchasing Decisions in the Digital Er
Publisher : CV Edujavare Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70610/tls.v2i1.1071

Abstract

Local Area Network (LAN) network disruptions in vocational education environments often hamper the learning process and student practicums, primarily due to limited technicians and the low basic troubleshooting skills of both teachers and students. This research aims to design and implement a web-based expert system for diagnosing LAN network disruptions using the forward chaining method. This method was chosen because of its data-driven nature, where reasoning begins with user-inputted symptoms and leads to conclusions about the type of disruption and repair solutions. The system's knowledge base was built from observations and interviews with technicians, covering 18 symptoms and four main types of disruptions: network cable unplugged, IP address conflict, destination host unreachable, and request timeout. Testing was conducted on 30 real-world cases in a computer laboratory, comparing the system's diagnostic results with those of experts. The test results demonstrated an accuracy rate of 93.33%, with positive responses from teachers and students regarding the system's ease of use. These findings demonstrate that the developed expert system can accelerate the diagnostic process, reduce reliance on technicians, and maintain the continuity of LAN network practicums in ICT-based vocational schools.
Implementasi Metode Teorema Bayes Pada Diagnosa Penyakit Gigi Muhammad Risman; Fiqram putra pratama; Gonzales H. Marlissa; Hardiana; Lucilla T. Ledious Monika; Astika Ramadhani; Rexci Trido Ngaderman7; Putra Hidayatullah; Patmawati Hasan
An Nafi': Multidisciplinary Science Vol. 2 No. 4 (2025): An Nafi’
Publisher : CV Edujavare Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70610/annafi.v2i4.1052

Abstract

This study implements the Bayes Theorem method to diagnose dental diseases based on patient-reported symptoms. Bayes Theorem operates by calculating the probability of a disease as a hypothesis based on available evidence in the form of observed symptoms. In this study, patient-reported symptoms are analyzed probabilistically to diagnose several types of dental diseases, namely gingivitis, dental caries, periodontal abscess, and pulpitis. The system utilizes conditional probability values between symptoms and diseases obtained from expert knowledge to calculate the posterior probability of each disease. The system is developed using the Python programming language and consists of a knowledge base containing symptom data, disease types, and probability values, as well as an inference engine that applies Bayes Theorem calculations. Research data were collected through interviews with dentists at Dian Farma Clinic, South Jayapura. The results indicate that the Bayes Theorem method is effective in supporting the early diagnosis of dental diseases in an objective and measurable manner; however, the diagnostic results still require further confirmation by professional medical personnel.
SISTEM INFORMASI PEMBAYARAN SPP MENGGUNAKAN METODE RAPID APPLICATION DEVELOPMENT (RAD) BERBASIS WEBSITE (STUDI KASUS: SMP NEGERI 4 ARSO) Adriana Yonggom; Iat Solihat; Patmawati Hasan; Rahmat Haryadi Kiswanto
Nusantara of Engineering (NOE) Vol 9 No 01 (2026): Volume 9 Nomor 1 - 2026
Publisher : Universitas Nusantara PGRI Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29407/noe.v9i01.26051

Abstract

Penelitian ini didasari oleh kebutuhan untuk meningkatkan efisiensi serta transparansi dalam proses pembayaran SPP di lingkungan sekolah, khususnya di SMP Negeri 4 Arso yang masih mengandalkan sistem manual. Penggunaan sistem manual sering kali menyebabkan kesalahan pencatatan, keterlambatan dalam pelaporan, serta keterbatasan akses informasi bagi orang tua siswa. Penelitian ini bertujuan untuk merancang dan mengembangkan Sistem Informasi Pembayaran SPP berbasis web guna mendukung kelancaran administrasi sekolah. Metode pengembangan yang diterapkan adalah Rapid Application Development (RAD), yang memungkinkan pembuatan sistem secara cepat dan adaptif melalui tahapan prototipe berulang. Sistem ini dibangun menggunakan bahasa pemrograman PHP dan database MySQL, serta diuji menggunakan teknik black box untuk mengevaluasi fungsionalitasnya. Hasil yang diperoleh menunjukkan bahwa sistem mampu mencatat data pembayaran secara tepat, memberikan informasi secara langsung kepada pengguna, serta meningkatkan produktivitas staf administrasi. Implementasi sistem ini diharapkan dapat membuat proses pembayaran lebih sistematis, efisien, dan transparan, serta memudahkan sekolah dan wali murid dalam memantau transaksi secara darin
SISTEM PELAPORAN KERUSAKAN INFRASTRUKTUR  PUBLIK BERBASIS WEBSITE DI DINAS PUPR KABUPATEN MEMBRAMO Patmawati Hasan; Muhandis Muhandis; Ajenkris Yanto Kungkung
Nusantara of Engineering (NOE) Vol 9 No 01 (2026): Volume 9 Nomor 1 - 2026
Publisher : Universitas Nusantara PGRI Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29407/noe.v9i01.26500

Abstract

Pelaporan kerusakan infrastruktur publik yang selama ini dilakukan secara manual di Kabupaten Mamberamo sering kali mengalami keterlambatan, tidak terdokumentasi dengan baik, serta sulit dipantau. Kondisi ini berdampak pada lambatnya proses penanganan kerusakan yang dapat mengganggu kenyamanan dan keselamatan masyarakat. Penelitian ini bertujuan untuk merancang dan mengembangkan sistem pelaporan kerusakan infrastruktur berbasis website yang dapat diakses secara luas oleh masyarakat. Sistem ini dilengkapi dengan fitur pengisian formulir laporan, unggah foto, informasi lokasi, serta pelacakan status penanganan laporan. Pengembangan sistem menggunakan metode Rapid Application Development (RAD) yang menekankan pada kecepatan pembuatan dan keterlibatan pengguna secara aktif dalam proses pengembangan. Bahasa pemrograman PHP digunakan pada sisi back-end, sedangkan MySQL digunakan sebagai sistem basis data untuk mengelola informasi pelaporan. Hasil uji coba dengan metode black-box menunjukkan bahwa seluruh fitur berjalan sesuai dengan fungsinya dan dapat dioperasikan dengan baik oleh pengguna. Sistem ini diharapkan mampu meningkatkan efisiensi pelayanan Dinas PUPR, mempercepat respon terhadap laporan kerusakan, serta mendorong partisipasi aktif masyarakat dalam pengawasan dan pelestarian infrastruktur daerah
SISTEM PENGELOLAAN PENGADUAN KEKERASAN PADA PEREMPUAN DAN ANAK BERBASIS WEBSITE DI UPTD PPA KOTA JAYAPURA Patmawati Hasan; Rendy Dagolemba Totombu; Jim Lahallo; Heru Sutejo
Nusantara of Engineering (NOE) Vol 9 No 01 (2026): Volume 9 Nomor 1 - 2026
Publisher : Universitas Nusantara PGRI Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29407/noe.v9i01.26568

Abstract

Tingkat kekerasan terhadap perempuan dan anak yang masih tinggi di Kota Jayapura menjadi isu yang perlu segera ditangani, khususnya karena sistem pelaporan yang digunakan masih konvensional dan tidak terdokumentasi secara sistematis. Hal ini menyebabkan kesulitan dalam proses penanganan dan tindak lanjut kasus oleh pihak berwenang. Untuk menjawab tantangan tersebut, penelitian ini mengembangkan sistem pengelolaan pengaduan berbasis web yang dirancang untuk memudahkan masyarakat dalam melaporkan kasus kekerasan secara online, sekaligus membantu petugas dalam memantau dan menindaklanjuti laporan secara efisien. Sistem dikembangkan dengan pendekatan Waterfall, melalui tahapan analisis kebutuhan, desain sistem, implementasi, dan pengujian. Pengembangan dilakukan menggunakan bahasa pemrograman PHP dan basis data MySQL untuk mengelola dan menyimpan data laporan. Hasil implementasi memperlihatkan bahwa sistem berfungsi dengan baik dan mampu menjalankan fitur utama seperti pengiriman laporan, pemberian tanggapan, serta pemantauan status laporan secara waktu nyata. Pengujian dengan metode black-box menunjukkan semua fungsi berjalan sesuai harapan tanpa kendala. Secara keseluruhan, sistem ini dianggap efektif dalam mendukung proses digitalisasi layanan pelaporan di UPTD PPA Kota Jayapura, karena mampu memberikan akses yang cepat, aman, dan terdokumentasi bagi pelapor maupun petugas
Optimization of a hybrid forward chaining and certainty factor model for malaria diagnosis based on clinical and laboratory data Patmawati Hasan; Rahmat H. Kiswanto; Susi Lestari
Indonesian Journal of Electrical Engineering and Computer Science Vol 41, No 1: January 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v41.i1.pp419-429

Abstract

Malaria remains a serious public health problem in Indonesia, particularly in Papua Province, which accounts for 89% of national malaria cases. The similarity of malaria symptoms with other infectious diseases and limited laboratory facilities often lead to delays and inaccuracies in diagnosis. The study proposes an optimized hybrid model that combines forward chaining and certainty factor (CF) by integrating clinical and laboratory data to improve the accuracy of malaria diagnosis. The research design includes acquiring knowledge from medical experts, developing a rule-based system using forward chaining, and applying CFs to overcome uncertainty in symptom interpretation. The system is implemented using Python with support from libraries such as NumPy and PyKnow. The test results showed that the integration of laboratory data significantly improved diagnostic performance, with accuracy increasing from 81% malaria-positive using clinical data alone to 98% malaria-positive after combining with laboratory data. Expert testing to validate the accuracy of clinical and laboratory data results compared to expert validation results in an accuracy score of 98%. These findings show that the optimization of the hybrid forward chaining model and CF for malaria diagnosis based on clinical and laboratory data as a recommendation tool for early diagnosis of malaria in endemic areas.
Penerapan UML Sistem Informasi Penerimaan Mahasiswa Baru Pada Universitas Sepuluh Nopember Papua Estevina Carolina Bagre; Putra Immanuel Pali; Melki Sendoni Wondiwoi; Nur Atya; Jered Imanuel Wanda; Tirsa Meira Pontoh; Marcella Putri Pentury; Herlina Lenora Yowei; Elia Mando Wanggai; Gladis Dominica Ngaderman; Helson Matuan; Sandra Keke Waromi; Imelda Numberi; Patmawati Hasan
Tamilis Synex: Multidimensional Collaboration SPECIAL ISSUE Tamilis Synex: Multidimensional Collaboration 2025
Publisher : CV Edujavare Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70610/tls.vi.875

Abstract

In the digital era, the use of information technology is the main need to improve administrative efficiency in various sectors, including higher education. Universitas Sepuluh Nopember (USN) Papua faces obstacles in the process of admitting new students which are still carried out manually, causing various problems such as inefficiency, risk of data errors, and limited information. To overcome this, this study aims to design a new student admission information system using the Unified Modeling Language (UML) approach that is able to describe the system visually, structured, and easy to understand. The research method used is software engineering with data collection techniques through observation and interviews. The results of the system design are visualized through use case diagrams, activity diagrams, sequence diagrams, and class diagrams to model the process and structure of the system as a whole. It is hoped that the results of this research can provide information system solutions that are more effective, efficient, and support transparency and accountability in the process of accepting new students in the university environment.
Co-Authors Adi Israel W.C.R Peday Adriana Yonggom Ajenkris Yanto Kungkung Akrilvalerat Deainert Wierfi Alifyaa, Adhyndha Anjutami, Rianner Armehzan, Hazrin Asso, Agus Astika Ramadhani Astrin Aprilia Umasugi Ayun, Beto Babut, Helena Caltrin, Yosefin Dahlan, Muhammad Imron Dalton, Timothy Deliana, Samanta Dony Ariyus Dumpel, Jessica Eka W Sholeha Eka Wahyu Sholeha Elia Mando Wanggai Elvis Pawan Elvis Pawan Elvis Pawan Ema Utami Estevina Carolina Bagre Fatagur, Karolina Fenetiruma, Elton Fifian Theresia Sibi Fiqram Putra Pratama Fonataba, Alan Gladis Dominica Ngaderman Gonzales H. Marlissa hababuk, Abril Vivi Yolanda Hardiana Helson Matuan Herlina Lenora Yowei Heru Sutejo Hokoyoku, Venezuella Regina Joshina Iat Solihat Imelda Numberi Irianti, Nurhaeni Irjanto, Norman S isawa, Charles sesera Islam, Fachrul Iwanggin, Wedes J.M, Esau Jenny Temba Jered Imanuel Wanda Juan Philbert Artori Kris Kawana, Yuliana Dorce Khaihena, Albert Kimber, Petronela Kiswanto, Rahmat Haryadi Kondy, Sharon Telvie krimadi, semuel Kulwy, Agustinus Kusrini Lahallo, Jim Lito Klore, Skolastika Elisabeth Lizhau, Ting Lokobal, Luis Lucilla T. Ledious Monika M. Tomaula, Rudi Marcella Putri Pentury Mareyke Kalasina Yawa Maryen, Hana Rina Masyruah, Khoiratul Melki Sendoni Wondiwoi Minarni Muhammad Risman Muhandis Muhandis Muzaqi, Muhammad Iqbal Da'i Nadia Nadia Nadia Nadia Nangguar, Maria Loisa Nangguar, Rosita Nasiri, Asro Nawu, Jerom Neno, Friden Elefri Nourman Satya Irjanto Nur Atya Paiki, Gracella B Paulisen Matu Pawan, Elvis Pawan, Elvis Povay, Wama Albertho Prasetyaningrum, Eka Putra Hidayatullah Putra Immanuel Pali Rahmaddiyanto, Syarif Rahman, Fadil Rajsya, Indra Ramos, Victor Rendy Dagolemba Totombu Renyaan, Alfaris Salam Rexci Trido Ngaderman7 Rumboirusi, Kartensia Firli Rumkorem, M Novran R Rusadin, Fina Alvionita Sabra, Isac Samon Sandra Keke Waromi Sari, Yuyun Purnama Sariyati H.Y. Bei Sibi, Fifian Theresia Simamora, Gysbi P Simatauw, Jeanet D Solo, Klemensia Dina I I Sulobua, Riski Susi Lestari SW, Febrian Ray Gere Tatuhey, Emy Lenora Tekam, Lodi Thamrin, Rosiyati M.H Theo W. M. L. K. Gusbager Tirsa Meira Pontoh Triyanto Triyanto Tuahuns, Wafiq Azizah Tulung, Revo Riantino Veny Cahya Hardita videl kobak Viona Sharon Prilia Rombot Wahyu Wijaya Widianto Walangitan, Rafaely Hesky Wanggai, Maya Y Arsyad, Dhea Firda Y. A Numberi, Barbalina Y. Bei, Sariaty H. Yarangga, Abigael M I Yaruyap, Sertina Yosefin Caltrin Odelia Yulius Nahak tetik Yunita, Selviana