Article Per Year (5 Year)
p-Index From 2021 - 2026
4.754
P-Index
This Author published in this journals
All Journal MediaTor: Jurnal Komunikasi Jurnal Simetris Jurnal Ilmu Komputer dan Agri-Informatika Jurnal Edik Informatika : Penelitian Bidang Komputer Sains dan Pendidikan Informatika InfoTekJar : Jurnal Nasional Informatika dan Teknologi Jaringan JOIV : International Journal on Informatics Visualization RABIT: Jurnal Teknologi dan Sistem Informasi Univrab JEEMECS (Journal of Electrical Engineering, Mechatronic and Computer Science) Digital Zone: Jurnal Teknologi Informasi dan Komunikasi JOISIE (Journal Of Information Systems And Informatics Engineering) JASIEK (Jurnal Aplikasi Sains, Informasi, Elektronika dan Komputer) JISA (Jurnal Informatika dan Sains) Journal of Community Service and Empowerment Jurnal Ilmu Komunikasi Network Media Journal of System and Computer Engineering DEVICE Ekasakti Jurnal Penelitian dan Pengabdian (EJPP) Society: Jurnal Pengabdian Masyarakat Jurnal Puan Indonesia Journal of Scientech Research and Development Literasi: Jurnal Pengabdian Masyarakat dan Inovasi TOFEDU: The Future of Education Journal Jurnal Ilmu Komunikasi UHO : Jurnal Penelitian Kajian Ilmu Komunikasi dan Informasi Jurnal Pengabdian Cendikia Nusantara Prosiding Seminar Nasional Ilmu Sosial dan Teknologi (SNISTEK) Jurnal Komtika (Komputasi dan Informatika)
januardi nasir
Program Studi Sistem Informasi Fakultas Teknik Universitas Nahdatul Ulama Sumatra Barat
Agriculture, Biological Sciences & Forestry Arts Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Mechanical Engineering Medicine & Pharmacology Public Health Social Sciences Other

Published : 37 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 37 Documents
Search

 1   2   3   4 
Implementasi Sistem Pakar Dalam Pemilihan Makanan Tradisional Silungkang Fadila; Januardi Nasir
Ekasakti Jurnal Penelitian dan Pengabdian Vol. 5 No. 2 (2025): Ekasakti Jurnal Penelitian dan Pegabdian
Publisher : LPPM Universitas Ekasakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31933/ejpp.v5i2.1306

Abstract

Traditional food is an essential part of cultural heritage that must be preserved, including the unique culinary offerings of Silungkang, which hold significant historical and sensory value. However, limited access to information and low public awareness have contributed to a declining interest in consuming local traditional food. This study aims to develop an expert system using the forward chaining method to assist users in identifying and selecting Silungkang traditional foods based on specific characteristics and personal preferences. The forward chaining approach was chosen for its ability to infer conclusions from initial facts through the application of IF-THEN rules. The system was designed using PHP as the programming language and MySQL as the database, with a user-friendly web-based interface. The results indicate that the expert system effectively provides accurate and efficient food recommendations, serving both as an educational tool and a medium to promote local culinary heritage. In conclusion, the implementation of this expert system contributes positively to the preservation of traditional food and the reinforcement of Silungkang’s cultural identity through artificial intelligence-based solutions.
Sistem Informasi Manajement Produk Kerajinan Tangan Umkm Tas Rajut Toko Cinta Jasmine Berbasis Android Nurda; Januardi Nasir
Ekasakti Jurnal Penelitian dan Pengabdian Vol. 5 No. 2 (2025): Ekasakti Jurnal Penelitian dan Pegabdian
Publisher : LPPM Universitas Ekasakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31933/ejpp.v5i2.1307

Abstract

The UMKM Tas Rajut Toko Cinta Jasmine in Padang City faces challenges in managing production data, inventory, and transactions, which are still handled manually. This study aims to design an Android-based product management information system to improve the efficiency of business operations. The research method used is system development through stages of identification, design, implementation, and testing. The system design utilizes UML diagrams (Use Case, Activity, Sequence, Class Diagram) and a MySQL database, with an Android-based user interface. The research results show that this information system can assist business owners in managing inventory, pricing, transactions, and generating accurate and timely reports. This application provides an effective solution for UMKM to overcome the limitations of manual record-keeping and supports the digital growth of small businesses.
EDUKASI DAN PELATIHAN DATA SCIENCE UNTUK ANALISIS DATA KESEHATAN DALAM MENDUKUNG MASYARAKAT SEHAT DI KOTA PADANG PANJANG Januardi Nasir; Yasha Langitta Setiawan; Gustri Efendi; Lido Sabda Lesmana
PUAN INDONESIA Vol. 8 No. 1 (2026): Jurnal PUAN Indonesia Vol. 8 No. 1 Juli 2026
Publisher : ASOSIASI IDEBAHASA KEPRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37296/jpi.v8i1.539

Abstract

The development of information technology has brought significant changes to various areas of life, including healthcare. One rapidly developing technology is data science, a discipline that utilizes data processing, statistics, and computational techniques to generate useful information to support decision-making. In healthcare, data science can be used to analyze health data, identify disease patterns, support disease prevention programs, and improve the quality of public health services. However, public understanding and skills in utilizing data science for health data analysis are still relatively limited. Therefore, a Community Service (PKM) activity themed "Data Science Education and Training for Health Data Analysis to Support a Healthy Community in Padang Panjang City" was implemented to improve public literacy and competency in utilizing data technology for healthcare.The activity implementation method included observation and identification of participant needs, program planning, delivery of educational materials, training in the use of RapidMiner software, practical health data analysis, and mentoring and evaluation of the activity. The materials provided covered basic data science concepts, data processing stages, data visualization, and the application of health data analysis using case studies relevant to community conditions. The results of the activity showed that participants gained increased knowledge and skills in understanding Data Science concepts and were able to perform simple health data analysis using RapidMiner. The high level of participant enthusiasm during the training demonstrated that this activity provided tangible benefits and was relevant to community needs. Overall, this activity successfully increased community capacity in utilizing health data as a basis for decision-making and supported the creation of a healthier, smarter, and data-driven society in Padang Panjang City.
Development Of Deep Learning in Diagnosing Pathology Januardi Nasir
Journal of System and Computer Engineering Vol 7 No 3 (2026): JSCE: July 2026
Publisher : Universitas Pancasakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61628/jsce.v7i3.2697

Abstract

Skin cancer is one of the most common types of cancer worldwide, with a particularly high incidence in Indonesia. According to Globocan 2020 data, there were approximately 18,000 cases of skin cancer with nearly 3,000 deaths, with melanoma having the highest mortality rate. A study at Dr. Cipto Mangunkusumo General Hospital (2014–2017) showed that malignant melanoma accounted for 5.7% of all skin cancer cases, with the majority of patients presenting at an advanced stage. Pathological diagnosis remains the gold standard for confirming melanocyte lesions, but it is subjective with variability reaching 45.5%.The development of Whole Slide Imaging (WSI) and Deep Learning (DL) has enabled the implementation of more accurate and consistent computer-aided pathological diagnosis systems. Several previous studies, such as those by Hekler et al., Brinker et al., and Li et al., have demonstrated that Convolutional Neural Network (CNN)-based models can match or exceed the performance of human pathologists. However, two major challenges remain: the model's limitations in distinguishing atypical melanocytic lesions and decreased performance due to staining variations across medical centers. This study aims to develop a DL-based intelligent pathological diagnosis model using WSI images that can accurately distinguish benign, atypical, and malignant melanocytic lesions and is robust to staining variations, to improve the effectiveness of skin cancer diagnosis in Indonesia.
PENGEMBANGAN APLIKASI PEMASARAN PRODUK STROBERI BERBASIS WEB UNTUK MENINGKATKAN PENJUALAN PADA KUBE HISHAN STRAWBERY Yusli Yenni; Januardi Nasir; Liza Yuliana
PUAN INDONESIA Vol. 7 No. 2 (2026): Jurnal Puan Indonesia Vol 7 No 2 januari 2026
Publisher : ASOSIASI IDEBAHASA KEPRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37296/jpi.v7i2.490

Abstract

This Community Service activity aims to support the digital transformation of SMEs, specifically KUBE Hishan Strawberry, which cultivates and sells strawberries and their processed products. The main challenges faced by partners include limited online promotion and sales, low digital technology literacy, and the lack of an online platform to expand market reach. As a solution, the team developed a web-based marketing application equipped with business profiles, product catalogs, online ordering, and stock management features, using a participatory approach to empower partners to manage their business independently. Furthermore, marketing and financial management strategies were socialized to enhance business competitiveness. The activity also included Microsoft Office training to support administration and financial record-keeping, as well as training on creating and managing social media platforms for digital promotion. Through the integration of the website and social media, KUBE Hishan Strawberry was able to expand its market reach, improve business efficiency, and build a stronger brand image.
PENDAMPINGAN IMPLEMENTASI SISTEM INFORMASI BERSAMA ANTAR SEKOLAH (SIBAS) UNTUK MENDUKUNG TRANSFORMASI DIGITAL DI SMA NEGERI 1 PADANG PANJANG Januardi Nasir; Yasha Langitta Setiawan
PUAN INDONESIA Vol. 7 No. 2 (2026): Jurnal Puan Indonesia Vol 7 No 2 januari 2026
Publisher : ASOSIASI IDEBAHASA KEPRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37296/jpi.v7i2.502

Abstract

The use of information technology in school management is a crucial requirement to support the effectiveness of administration and academic services. SMA Negeri 1 Padang Panjang has been using information technology and the national data collection system DAPODIK, but the school's internal data management is still not optimally integrated across work units. This condition causes data disintegration that has the potential to hinder the efficiency of school information management. This community service activity aims to implement, socialize, and educate the school about the use of the SIBAS (Joint Information System Between Schools) system as an integrated school information system. The implementation method includes needs analysis, system installation and configuration, socialization, and mentoring the school in using SIBAS. The results of the activity indicate an increase in the school's understanding of the importance of an integrated information system and the ability to utilize SIBAS to support the management of academic data, administration, and school information services. Thus, the implementation of the SIBAS system at SMA Negeri 1 Padang Panjang is expected to support the realization of more effective, efficient, and information technology-based school management.
A Web-Based Expert System for Pest Diagnosis in Oyster Mushroom Cultivation Using Forward Chaining Annisa Annisa; Januardi Nasir
The Future of Education Journal Vol 4 No 7 (2025): Continued
Publisher : Lembaga Penerbitan dan Publikasi Ilmiah Yayasan Pendidikan Tumpuan Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61445/tofedu.v4i7.932

Abstract

Oyster mushrooms are one of the most widely cultivated edible mushrooms in Indonesia due to their high economic value and stable market demand. However, during the cultivation process, farmers often face challenges such as pest attacks from ants, centipedes, and snails. These conditions lead to a decrease in both the quality and quantity of the harvest. Farmers' limited knowledge in identifying pests and handling methods is one of the main causes of crop failure. Therefore, this study aims to design and develop a web-based expert system using the forward chaining method to assist farmers in diagnosing pests based on the symptoms observed. The system was developed using the PHP programming language and MySQL database. The forward chaining method is used to perform reasoning from symptoms to conclusions about the type of pest. Testing results show that the system functions as intended and is capable of providing accurate diagnoses and appropriate handling solutions. This system is expected to serve as an efficient alternative solution to improve the productivity of oyster mushroom cultivation.
Co-Authors - Michael Alvendo Wahyu Aranski Annisa Annisa Anwar, Hendra April Zahmi April Zahmi Ariati, Yumi Azizul Azhar Ramli Cristian Difo Difo, Cristian Elinda Revita Eric Andrianto Fadila Fernando Mexco Gea Kandita Wilanda Gustri Efendi Gustri Efendi Jahro Jahro Jahro, Jahro Jeswita, Amelia Lido Sabda Lesmana Liza Yuliana Nurda Nurullah, Nurullah Purba, Neni Marlina BR Puryanto Puryanto Puryanto Puryanto Rio Rahmat Yusran Roby Hadi Putra Roni Saputra Shinta Amri Pratama Putri Wahyudi, Tommy Dwi Yasha Angitta Setiawan Yasha Langitta Setawan Yasha Langitta Setiawan Yasha Langitta Setiawan Yasha Langitta Setiawan Yulia Yulia Yulia Yulia Yumi Ariyati Yusli Yenni Zefly Haposan Gultom