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Rancang Bangun Sistem Informasi Pencarian dan Penyewaan Rumah Kost di Palangka Raya Berbasis Website Novianti, Angellita; Nugrahaningsih, Nahumi
Journal of Information Technology and Computer Science Vol. 1 No. 3 (2021): JOINTECOMS : Journal of Information Technology and Computer Science
Publisher : Universitas Palangka Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (309.242 KB) | DOI: 10.47111/jointecoms.v1i3.8857

Abstract

Information systems are currently growing rapidly which allows all jobs in life to be assisted by information technology. This technology that can help make things easier, faster, safer, and more effective is clearly very useful for anyone who uses it. This includes helping micro, small and medium enterprises (MSME),especially boarding house owners, in promoting their boarding houses and making it easier for someone who is looking for a boarding house to live in. This boarding house search and rental information system is a website-based information system as a means to provide boarding house information for boarding house seekers, as well as for boarding house managers to promote the boarding houses they rent and manage all things related to the boarding house on the website quickly and easy. The methodology used in making this Information System is to use the waterfall method with stages, with stages, namely Requitments Definition depicted by Flowcharts, Requirements Analysis and Definition described by DFD (Data Flow Diagrams), ERD (Entity Relationship Diagrams) and databases. Implementation and Unit Testing with the programming languages used, namely HTML, PHP, CSS, Bootstrap, Javascript and MySQL, Integration and System Testing using the Blackbox Method.
Rancang Bangun Aplikasi J-Cashier Mobile Jakkirahman , Jakkirahman; Nugrahaningsih, Nahumi
Journal of Information Technology and Computer Science Vol. 2 No. 3 (2022): JOINTECOMS : Journal of Information Technology and Computer Science
Publisher : Universitas Palangka Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (370.8 KB) | DOI: 10.47111/jointecoms.v2i3.8865

Abstract

J-Cashier Mobile is an application in the form of a mobile cashier with features for calculating change, recording transactions, and send reports to the email of BUMDes owners. The design of this application aims to facilitate the management and development of BUMDes in the form of applications that can manage transactions and can record transactions that have taken place.
Rancangan Bangun Sistem Informasi Pengelolaan Penerimaan Peserta Didik Baru di SMA Negeri 1 Tamiang Layang Berbasis Website Milenia, Tiara Sari; Nugrahaningsih, Nahumi
Journal of Information Technology and Computer Science Vol. 2 No. 4 (2022): JOINTECOMS : Journal of Information Technology and Computer Science
Publisher : Universitas Palangka Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (348.046 KB) | DOI: 10.47111/jointecoms.v2i4.8879

Abstract

SMA Negeri 1 Tamiang Layang is one of the high schools located in East Barito Regency. The purpose of this research is to build an Information System Website for the Management of New Student Admissions at SMA Negeri 1 Tamiang Layang. The system development method used is the Waterfall model, starting from analysis, design, implementation and testing. The design is using Data Flow Diagrams (DFD) using context diagrams, Level 0 and Level 1 DFDs and Entity Relationship Diagrams (ERD), PHP programming language and MySQL database. The result of the research is that a website for the Management of New Student Admission Management Information System at SMA Negeri 1 Tamiang Layang can be produced that can run and function properly.
Rancang Bangun Aplikasi Ensiklopedia Digital Tanaman Obat Tradisional Gosal, Silvia Siladevi; Lestari, Ariesta; Nugrahaningsih, Nahumi
Journal of Information Technology and Computer Science Vol. 3 No. 2 (2023): JOINTECOMS : Journal of Information Technology and Computer Science
Publisher : Universitas Palangka Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47111/jointecoms.v3i2.10820

Abstract

The lack of available documentation to store information about traditional medicinal plants has made it increasingly difficult to obtain information about medicinal plants. Therefore, in this research, an Encyclopedia of Medicinal Plants of Borneo (E-TOB) application is designed to be a readily accessible source of information for users, both through a website and a mobile application.The development of the E-TOB application follows the stages of the Waterfall method, starting from the Requirements Definition stage depicted using Flowchart, the Requirements Analysis and Definition stage depicted through UML (Unified Modeling Language) with Use case Diagram, Class diagram, and Activity diagram, as well as the use of a database. Implementation and Unit Testing are done using Laravel, Flutter, and MySQL frameworks, and testing is conducted using the Blackbox method. In the developed application, the admin has access to manage the data of medicinal plants.The built application has three (3) types of users, namely guest users, who can view information about medicinal plants. Admin users who have access to manage data in the application, and registered users who can add medicinal plants and access additional features in the application such as bookmark and like features.
RANCANG BANGUN APLIKASI ABSENSI GURU DAN STAF TU DENGAN PENERAPAN GEOLOCATION DAN FINGERPRINT BERBASIS ANDROID DI SMK GKE MANDOMAI Berkati, Axel; Licantik; Nugrahaningsih, Nahumi; Lestari, Ariesta; Sylviana, Felicia
Jurnal Teknologi Informasi: Jurnal Keilmuan dan Aplikasi Bidang Teknik Informatika Vol. 18 No. 1 (2024): Jurnal Teknologi Informasi : Jurnal Keilmuan dan Aplikasi Bidang Teknik Inform
Publisher : Universitas Palangka Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47111/jti.v18i1.12590

Abstract

Attendance is one of the work assessments and as proof of attendance is very important. At this time, the attendance system used by SMK GKE Mandomai is still implementing a manual attendance system, which is every day to sign at every date of entry to work, and attendance is done 2 times, namely entry attendance and return attendance. This manual attendance system has the potential to cause some problems, such as attendance papers that are easily lost or scattered and the possibility of manipulating attendance data. As a solution, namely by designing an attendance application with the application of geolocation and fingerprint on android as security when doing absences, in order to prevent teachers and TU staff who are outside the school location to fill absences. The development method used in designing this system is the Waterfall model with its stages, namely Software Requirements Analysis, Design, Coding, and testing. System design using UML model, implement coding using JavaScript, React Native framework and React JS, backend using Firebase. the results of this system design, produce Android-based attendance system for teachers and staff TU attendance in school areas.
Internet of things and YOLOv11 for orangutan intestinal nematode parasite detection Teguh, Rony; Nugrahaningsih, Nahumi; Panda, Adventus
International Journal of Electrical and Computer Engineering (IJECE) Vol 16, No 2: April 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v16i2.pp981-990

Abstract

The health of Bornean orangutans is increasingly threatened by intestinal nematode parasites, which cause significant morbidity and mortality. Traditional microscopic diagnosis is accurate but slow, labor-intensive, and impractical in remote conservation areas. This paper presents a proof-of-concept smart diagnostic automated system that integrates internet of things (IoT) enabled mobile microscopy with a deep learning model based on you only look once version 11 (YOLOv11). A publicly available dataset of 4,000 annotated parasite egg images, derived from human fecal samples and used as a proxy for orangutan infections, was employed for model training and evaluation. The proposed system achieved a mean average precision (mAP) of 0.9957 and a mean intersection over union (IoU) of 0.9098 across four target classes. Compared with prior works using YOLOv4, YOLOv5, and lightweight models, our approach provides higher segmentation fidelity and is embedded in an IoT-based framework suitable for field deployment. Importantly, a pilot test conducted in the field using real orangutan fecal samples confirmed the system feasibility, with near real-time inference (~300 ms per image) and usability by non-specialist users under low-resource conditions. While broader validation with larger orangutan specific datasets remains necessary, this study demonstrates how IoT and computer vision can be combined into a scalable diagnostic tool for wildlife health monitoring and conservation applications.
Pengembangan Aplikasi Mobile Pendeteksi Penyakit Kulit Menggunakan Model Mobile-Net V3 Dengan Metode Transfer Learning Gabriel Dwi Putra Krisma Rusan; Nahumi Nugrahaningsih; Agus Sehatman Saragih
Journal of Information Technology and Computer Science Vol. 6 No. 1 (2026): JOINTECOMS : Journal of Information Technology and Computer Science
Publisher : Universitas Palangka Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47111/jointecoms.v6i1.25771

Abstract

Penyakit kulit merupakan salah satu masalah kesehatan dengan prevalensi tinggi di Indonesia, mencapai 4,60%–12,95% dari populasi atau sekitar 12,7 juta–35,9 juta orang dari 277,5 juta penduduk Indonesia. Keterbatasan jumlah dokter spesialis kulit serta rendahnya akses layanan kesehatan di daerah menyebabkan banyak kasus terlambat terdiagnosis. Keterlambatan ini dapat menimbulkan komplikasi serius, meningkatkan angka morbiditas, dan menurunkan kualitas hidup penderita. Oleh karena itu, diperlukan solusi berbasis teknologi yang dapat membantu masyarakat melakukan deteksi dini penyakit kulit secara mandiri, cepat, dan akurat. Penelitian ini mengusulkan pengembangan aplikasi mobile pendeteksi penyakit kulit berbasis transfer learning dengan arsitektur MobileNetV3. Dataset yang digunakan merupakan gabungan dari DermNet, HAM10000, dan Mendeley Skin Disease Classification dengan total 28 kelas penyakit. Tahapan penelitian meliputi preprocessing data, pelatihan dan fine-tuning model MobileNetV3, serta evaluasi menggunakan metrik akurasi, presisi, recall, dan F1-score. Model terbaik kemudian diintegrasikan ke dalam aplikasi berbasis Flutter yang menampilkan hasil diagnosis dan informasi edukatif kepada pengguna. Hasil pengujian menunjukkan bahwa model MobileNetV3 dengan transfer learning menghasilkan akurasi sebesar 81%, presisi 79%, recall 79%dan F1-score 79%. Aplikasi yang dikembangkan mampu melakukan deteksi penyakit kulit dengan cepat dan efisien pada perangkat mobile. Dengan demikian, penelitian ini diharapkan dapat menjadi solusi screening awal yang praktis dan meningkatkan kesadaran masyarakat terhadap pentingnya diagnosis dini penyakit kulit di Indonesia.