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All Journal Jurnal Ilmiah Sistem Informasi dan Ilmu Komputer Jurnal Pengabdian Masyarakat Waradin Jurnal Publikasi Manajemen Informatika (JUPUMI) International Journal of Economics, Commerce, and Management Mikroba: Jurnal Ilmu Tanaman, Sains dan Teknologi Pertanian International Journal of Electrical Engineering, Mathematics and Computer Science
Eliyin Eliyin
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Agriculture, Biological Sciences & Forestry Computer Science & IT Decision Sciences, Operations Research & Management Engineering Industrial & Manufacturing Engineering Mathematics Social Sciences Other

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Data Search System for Thesis and Internship Reports in the Library of the Faculty of Engineering, Gajah Putih University Takengon Ira Zulfa; Eliyin Eliyin; Rayuwati Rayuwati; Riski Wanda
International Journal of Economics, Commerce, and Management Vol. 2 No. 1 (2025): January : International Journal of Economics, Commerce, and Management
Publisher : Asosiasi Riset Ekonomi dan Akuntansi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/ijecm.v2i1.403

Abstract

The purpose of this research is to develop a data search system for thesis and internship reports at the Faculty of Engineering Library of Gajah Putih University Takengon (UGP). This search engine will be created and used to help students and library employees access thesis and internship report information. Analysis of user needs, system design, creation of effective search algorithms, and evaluation of system performance are all topics that will be discussed in this thesis. Interviews with potential users, satisfaction surveys, and historical data collection of library usage are the methods used. It is expected that the results of this research will help library users find and retrieve thesis and internship report data and improve the accessibility and availability of academic information at the UGP Faculty of Engineering. When search engine technology is used, it is expected that the time required for Information will increase productivity, improve efficiency, and support the academic development of students at UGP.
Pegolahan Jenis Sampah untuk Mengurangi Volume Sampah di Desa Asir-Asir Kecamatan Aceh Tengah Ira Zulfa; Richasanty Septima; Eliyin Eliyin; Muhamad Yustisar
Jurnal Publikasi Manajemen Informatika Vol. 4 No. 1 (2025): JURNAL PUBLIKASI MANAJEMEN INFORMATIKA
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jupumi.v4i1.3649

Abstract

In many areas, such as Asir-Asir Village, waste is a major problem. Analyzing the most common categories of waste and assessing waste management initiatives to reduce the amount of waste in the village were the objectives of this study. Data regarding waste composition, collection systems, and waste disposal were collected using survey, interview, and observation techniques. The results showed that most of the waste in Asir-Asir Village is organic waste. Waste segregation at source is one of the management initiatives that have been carried out, but organic waste processing still faces challenges. Based on these results, this study suggests several tactical steps to improve the effectiveness of waste management, including enhancing composting programs, creating waste banks, and encouraging social interaction to educate the community on the value of environmentally friendly waste management. As a result, it is expected that Asir-Asir Village will have a cleaner and healthier environment with less waste going to landfill.  
Kajian Teknik Pemeliharaan Terhadap Peningkatan Produksi Kopi Arabika Gayo Oleh Petani di Desa Belang Gele Eliyin Eliyin; Septina Maulia Putri; Taufiqurrahman Taufiqurrahman
Mikroba : Jurnal Ilmu Tanaman, Sains Dan Teknologi Pertanian Vol. 1 No. 3 (2024): December : Mikroba : Jurnal Ilmu Tanaman, Sains Dan Teknologi Pertanian
Publisher : Asosiasi Riset Ilmu Tanaman Dan Hewan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/mikroba.v1i3.275

Abstract

This study aims to analyze the influence of maintenance technique analysis on the increase of Gayo Arabica coffee production by farmers in Belang Gele, Bebesen District, Central Aceh Regency. Central Aceh Regency, especially the Belang Gele area, is known as one of the best producers of Arabica coffee in Indonesia, but farmers in this area face various challenges in increasing production, such as climate change, lack of maintenance technology, and pest and disease problems. Good maintenance techniques, including pruning, application of appropriate fertilizers, weed control, pest control, and plant shading, are expected to increase the production of high-quality coffee. This study uses a descriptive approach with data collection through field observations, interviews with coffee farmers, and analysis of the maintenance techniques applied. The results of the study show that the application of agroforestry-based maintenance techniques, the use of organic fertilizers, and efficient water management can increase the production yield of Gayo Arabica coffee. In addition, uncertain weather factors are also a major challenge that affects the quality and quantity of production output. Therefore, the results of this study are expected to provide practical solutions for farmers in increasing coffee production in a sustainable and competitive manner in the global market.
Intensitas Pemangkasan dan Pemupukan Tanaman Kopi Arabika yang Dilakukan oleh Petani di Desa Tebes Lues sebagai Upaya Peningkatan Produksi Eliyin Eliyin; Syukri Mahara; Zulida Susanti; Ira Zulfa
Mikroba : Jurnal Ilmu Tanaman, Sains Dan Teknologi Pertanian Vol. 2 No. 1 (2025): April : Mikroba : Jurnal Ilmu Tanaman, Sains Dan Teknologi Pertanian
Publisher : Asosiasi Riset Ilmu Tanaman Dan Hewan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/mikroba.v2i1.280

Abstract

Tebes Lues Village, located in a mountainous area, holds great potential as a production center for high-quality Arabica coffee. Coffee products from this village have been recognized in various local and international markets, known for their distinctive aroma and unique taste. Nevertheless, the productivity and quality of coffee in Tebes Lues Village can still be improved through the improvement of more modern and targeted cultivation techniques, one of which is through the application of proper pruning and fertilization techniques. This study aims to look at the types of pruning and fertilization carried out in Tebes Lues village as an effort to increase Arabica coffee production. The research was conducted with descriptive method by making a questionnaire containing interview questions to get info from respondents (farmers) related. The results of this study obtained that the type of pruning done by tebes lues village farmers is production pruning and branch pruning (Bayonet) and treatment of roots by doing mechanical processing. Fertilizers used by farmers in an organic way are SS, Phoska, ZA and Urea while organic fertilizers used are coffee skin, livestock manure, coffee skin pulp. Coffee production increased for farmers who pruned and fertilized intensively and periodically.
Sentiment Analysis of the Policy of Providing Contraceptive Provision Policy for Teenagers in PP Number 28 Year 2024 with Naïve Bayes Classifier Method on Twitter Ira Zulfa; Eliyin Eliyin; Firmansyah Firmansyah; Zikri Syah Dermawan
International Journal of Electrical Engineering, Mathematics and Computer Science Vol. 2 No. 1 (2025): March : International Journal of Electrical Engineering, Mathematics and Comput
Publisher : Asosiasi Riset Teknik Elektro dan Infomatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/ijeemcs.v2i1.241

Abstract

The plan to offer birth control to teenagers, outlined in Government Regulation (PP) No. 28 of 2024, has sparked different responses in the public, especially on social media sites like Twitter. This research intends to look into how people feel about this plan by using the Naïve Bayes Classifier technique. Information was gathered from Twitter by using data collection methods with the snscrape tool and the Python coding language. A total of 1,000 tweets related to the topic of the policy were gathered and went through initial processing steps like cleaning, breaking into words, changing cases, and removing common words. The Naïve Bayes Classifier technique was employed to sort the public's feelings into three groups: positive, negative, and neutral. The findings showed that half of the tweets (50%) had a negative view on the policy, while 35% had a positive outlook, and 15% were neutral. The accuracy of the method used was 78%, with a precision of 74%, a recall of 79%, and an F1-score of 76%. The findings from this research offer a summary of how the public feels about the birth control policy for teenagers, which can help the government assess and create policies that better meet the community's needs and worries. Additionally, this research highlights how well the Naïve Bayes Classifier method works for analyzing sentiments on social media, even though there are some challenges when it comes to understanding language subtleties like sarcasm.
Pengolahan Sampah dengan Teknik 3R bagi Pelestarian Lingkungan di Desa Asir-Asir, Kabupaten Aceh Tengah Ira Zulfa; Eliyin Eliyin; Hajar Ashwad; Firmasyah Firmasyah
Jurnal Pengabdian Masyarakat Waradin Vol. 5 No. 2 (2025): Jurnal Pengabdian Masyarakat Waradin
Publisher : Sekolah Tinggi Ilmu Ekonomi Pariwisata Indonesia Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56910/wrd.v5i2.613

Abstract

A strategic effort to increase community awareness about environmental sustainability was carried out in Asir-Asir Village, Aceh Tengah District through the application of the 3R technique (Reduction, Use, and Transfer). The 3R principle is expected to improve environmental sustainability and reduce waste volume. Asir-Asir Village faces a major problem in waste management, which has a negative impact on public health and the environment. The 3R method offers an effective solution to this problem. Increase community awareness of the importance of good waste management. Reducing waste volume through reduction, reuse and recycling. Community and training on the 3R principles. Create a working group focused on waste management at the village level. The 3R method can be applied in people's daily lives. Transforming the village environment into a cleaner and healthier Asir-Asir: Waste management using the 3Rs technique improves the quality of life of the community and protects the environment.
Sistem Informasi Analisis Volume Sampah dan Optimalisasi Rute Pengangkutan dengan Metode Neural Networks Ira Zulfa; Eliyin Eliyin; Muhammad Yustisar; Asyam Amrullah Ar-ramdhi
Jurnal ilmiah Sistem Informasi dan Ilmu Komputer Vol. 5 No. 2 (2025): Juli : Jurnal ilmiah Sistem Informasi dan Ilmu Komputer
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/juisik.v5i2.1207

Abstract

In an age of rapid urbanization, managing waste properly is a major challenge. To deal with the increasing amount of waste, a good transportation system is needed. Therefore, the purpose of this research is to build a “Waste Volume Analysis and Transportation Route Optimization Information System using Neural Networks Method.” To precisely determine the volume of waste and design the best transportation route, this research will utilize neural networks technology. It is hoped that this system can provide innovative solutions to improve the efficiency of waste management. The research will involve collecting data on waste volume from the past and in person, analyzing it using neural networks to make precise predictions, and applying algorithms to optimize routes. This process includes data processing, modeling, and field testing of the system. This research includes results related to predicting waste volume precisely and providing visualizations that are easy to understand for use, the most efficient transportation routes that can cut operational time and costs.
Co-Authors Asyam Amrullah Ar-ramdhi Firmansyah Firmansyah Firmasyah Firmasyah Hajar Ashwad Ira Zulfa Muhamad Yustisar Muhammad Yustisar Rayuwati Rayuwati Richasanty Septima Riski Wanda Septina Maulia Putri Syukri Mahara Taufiqurrahman Taufiqurrahman Zikri Syah Dermawan Zulida Susanti