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All Journal Proceeding of the Electrical Engineering Computer Science and Informatics Jurnal Dinamika Pengabdian (JDP) JURNAL TEKNOLOGI DAN OPEN SOURCE J-SAKTI (Jurnal Sains Komputer dan Informatika) JURIKOM (Jurnal Riset Komputer) Jurnal Tekno Kompak Jurnal Review Pendidikan dan Pengajaran (JRPP) Building of Informatics, Technology and Science SENSITEK Jurnal Informasi dan Teknologi Legalitas: Jurnal Hukum Jurnal Teknologi dan Sistem Tertanam J-SAKTI (Jurnal Sains Komputer dan Informatika) Bulletin of Information Technology (BIT) Innovative: Journal Of Social Science Research Journal Of Technology and Information System (J-TIS) Journal of Community Dedication Indonesian Journal of Education (INJOE)
Alam, Sitti Nur
Universitas Yapis Papua
Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mathematics Public Health Social Sciences Other

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INFORMATION SYSTEM OF CONSTRUCTION SERVICE WEB BASED ON PAPUA GAPEKSINDO ASSOCIATION -, Mutmainna; Alam, Sitti Nur; Widiyantoro, Muhammad Riandi; Robo, Salahudin
JURNAL TEKNOLOGI DAN OPEN SOURCE Vol. 4 No. 1 (2021): Jurnal Teknologi dan Open Source, June 2021
Publisher : Universitas Islam Kuantan Singingi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36378/jtos.v4i1.1403

Abstract

Information technology is currently growing rapidly. Computers as information technology tools play an important role in solving data processing problems. Therefore, many companies are using information technology to improve enterprise data management. One of them is GAPEKSINDO Association. It is the organization of companies in construction services. In collecting data and processing business entity data, the companies will apply for Business Certificate, Gapeksindo Association in Papua have the problems, they are data collection and data processing is still using Excel. The weakness use Excel is the data storage can be accidentally deleted and search data will take a long time. Based on the problems above, information system is needed to support Papua Gapeksindo Association in collecting data and processing business data. It can provide convenience in collecting data and processing business data, ensuring security in storing data and it will be stored in database. This information system based on web by using the Unified Modeling Language (UML) design method. The development method using the Waterfall method and the testing method using Black Box.
Penentuan Bibit Kelapa Sawit Unggul Dengan Metode ARAS Dan TOPSIS Nur Alam, Sitti; Yesputra, Rolly; Zikra Syah, Arridha; Parini; Ernawati, Andi
Bulletin of Information Technology (BIT) Vol 6 No 4 (2025): Desember 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bit.v6i4.2213

Abstract

The Industrial Era 4.0 opens up great opportunities to increase production, efficiency and sustainability of the palm oil industry. The problem faced by farmers is that farmers are often hampered by limited knowledge and lack of guidance in choosing plant seeds. Because seeds are an important factor in supporting satisfactory results. This research was carried out to help farmers who have difficulty in choosing oil palm seeds which could become a problem for farmers in the future. day. This research uses the ARAS and TOPSIS methods to evaluate seeds based on criteria that have been identified and analyzed, to assess 10 types of superior seeds based on 5 criteria: oil potential, pest resistance, seed price, productive planting period, and maintenance costs. It is hoped that this research can help oil palm farmers increase their productivity and profits, as well as support the sustainability of the palm oil industry in the Industry 4.0 era. The ARAS and TOPSIS methods have proven to be effective in helping farmers choose superior oil palm seeds. From the results of research conducted using the ARAS and TOPSIS methods, VIM 1 seeds were recommended as the best choice based on the points obtained.
UMKM SOCIALISATION: CONCRETE STEPS FOR VILLAGE COMMUNITY SERVICE Sitti Nur Alam; Sri Mulyono; Widjanarko
JOURNAL OF COMMUNITY DEDICATION Vol. 3 No. 3 (2024): Journal of Community Dedication
Publisher : Adiba Aisha Amira

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Abstract

The MSME socialisation programme in the village aims to introduce and develop small businesses in the rural environment. This activity is conducted to improve the village economy by providing villagers with basic knowledge and skills about Micro, Small and Medium Enterprises. In this programme, villagers are given materials on the basics of MSMEs, how to start a business, and simple marketing strategies. In addition to theory, participants are also invited to practice directly, such as making a business plan and learning how to promote a business that is suitable for small businesses in the village. The implementation of the programme involved collaboration between universities, local entrepreneurs, and the local government. This was done so that participants could gain many perspectives and real-life experiences. The results of the programme can be seen from the increased interest of villagers to start a business, the emergence of various new business ideas, and the increase in economic activities in the village. It is hoped that this MSME socialisation can provide long-term benefits for the economic development of the village.
INTEGRATING TECHNOLOGY IN LEARNING IN MADRASAH: TOWARDS THE DIGITAL AGE Mukti Ali; M. Anwar Aini; Sitti Nur Alam
Indonesian Journal of Education (INJOE) Vol. 3 No. 2 (2024): Indonesian Journal of Education (INJOE)
Publisher : CV. ADIBA AISHA AMIRA

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Abstract

Madrasas have a crucial role in providing a strong foundation for individual development and societal progress. Madrasas have an important role in teaching critical skills and information literacy. In this digital age, information is abundant and easily accessible to anyone. Madrasas in the digital age must encourage creativity and collaboration. Optimizing learning by integrating technology is something that millennial teachers hope to implement. By utilizing information technology and integrating it in learning, it will make it easier for teachers to convey knowledge. Apart from that, learning can be more fun and interactive. In facing the challenges of the digital age, madrasas have an important role in preparing future generations and fueling the spirit of innovation. One of the main challenges facing madrasas in the digital age is the digital divide among students. Not all students have access to the necessary technology or internet connection outside the madrasah environment. This research is a library study research, by looking at literary sources, books, notes, and various reports related to the problem to be solved. This research discusses the importance of integrating technology in education, the challenges faced by madrasas in adopting technology for learning, and the importance of facing the digital age in madrasas.
OPTIMIZE TEXTILE BOOK RECOMMENDATION SYSTEM USING DEEP LEARNING ALGORITHMS Sitti Nur Alam; Asep Saeppani; Iwan Setiawan
Indonesian Journal of Education (INJOE) Vol. 3 No. 2 (2024): Indonesian Journal of Education (INJOE)
Publisher : CV. ADIBA AISHA AMIRA

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Abstract

The research aims to optimize the recommendation system for textile books by applying deep learning algorithms. The textile industry, rich in content and material variation, requires a system of recommendations that can accurately accommodate the diverse needs of its users. Deep learning, with its sophistication in processing large and complex data, offers solutions in improving the quality of recommendations. The study explores the use of deep learning models in interpreting user preferences and book characteristics, with the hope of producing more relevant and personal predictions. Research methods that literature conducts systematically through the collection of data from scientific sources such as journals, conferences, and related articles published in the last decade. The results show that deep learning algorithms such as Convolutional Neural Networks (CNN) and Recurrent Neural Network (RNN) have been successfully applied in improving the accuracy of book recommendation systems, including in textile contexts. These models are able to understand and process textile information and user preferences more deeply than traditional algorithms. The research also revealed important factors that influence model performance, such as data quantity and quality, model architecture, and parameter setting. Although there are limitations associated with resource use and the need for large datasets, the use of deep learning algorithms in recommendation systems for textile books shows significant potential in improving personalization and user satisfaction.
Co-Authors -, Mutmainna Abdul Rasyid Ahmad Husein Ahmad Rifai Rahawarin Akbar, Mohammad Aldrin Andi Ernawati Andi Muh Akbar Saputra Andik Adi Suryanto Andreas Ariyanto Rangga Andri Irawan Arridha Zikra Syah Asep Saeppani Asy Syifa’a, Fintia Maulid Balabuana, Gaspar Bao Budiman, Edy Bugis, Abu Bakar Devi Sukmawati Edowai, Yermias Edy Winarno Iwan Adhicandra Iwan Setiawan Jufri, Muhamad Taher Kraugusteeliana Kraugusteeliana Lasmaida Gultom Lasmaida Gultom, Lasmaida Muhamad Taher Jufri Muhamad Yamin Noch Muhammad Riandi Widiyantoro Mukti Ali Mursalam Salim Mutmainna - Numberi, Lita Chrysti Nur, Hasanah Parini Rasna Rasna Robo, Salahudin Rolly Yesputra Sardjana Orba Manullang Siti Nurhayati Sri Mulyono Sri Sudono Saliro Suryani Suryani Suryo Sasono, Damar Syahrul Syahrul Waja, Afgan Wardani, Megasuciati Widjaja, Warkianto Widjanarko Wijaya, Hamid Zen, Agustian