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All Journal Indonesian Journal of Electronics and Instrumentation Systems TEKNIK INFORMATIKA Semantik Elkom: Jurnal Elektronika dan Komputer International Conference on Engineering and Technology Development (ICETD) Explore: Jurnal Sistem Informasi dan Telematika (Telekomunikasi, Multimedia dan Informatika) Jurnal Informatika Jurnal Informatika JOIV : International Journal on Informatics Visualization Jurnal Komputasi Prosiding Seminar Nasional Darmajaya CCIT (Creative Communication and Innovative Technology) Journal JUSIM (Jurnal Sistem Informasi Musirawas) Applied Technology and Computing Science Journal Jurnal Ilmiah Permas: Jurnal Ilmiah STIKES Kendal Journal of Community Development Journal of Information Systems and Technology Research Sewagati: Jurnal Pengabdian Masyarakat Indonesia RISTEC : Research in Information Systems and Technology Jurnal Teknologi dan Informatika (JEDA) Jurnal Alih Teknologi Komputer (ALTEK) Jurnal Alih Teknologi Sistem Informasi (JATSI) Journal of Informatics, Electrical and Electronics Engineering Abdi Akommedia : Jurnal Pengabdian Masyarakat Seminar Nasional Teknologi dan Multidisiplin Ilmu Jurnal Pengabdian UMKM Laporan Upaya Nyata Inovasi Ilmu Komputer (LUNIK) PENGAMATAN: Jurnal Pengabdian Masyarakat untuk Ilmu MIPA dan Terapannya Journal of Technology and Data Science
Yodhi Yuniarthe
Prodi Informatika, Fakultas Komputer, Universitas Mitra Indonesia, Lampung
Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media Library & Information Science Mathematics Nursing Physics Public Health Social Sciences Veterinary Other

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Penerapan Algoritma C4.5 untuk Klasifikasi Tingkat Kedisiplinan Siswa Sekolah Menengah selipuri; Rosyana Fitria Purnomo; Yodhi Yuniarthe
Journal of Informatics, Electrical and Electronics Engineering Vol. 5 No. 1 (2025): September 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/jieee.v5i1.2630

Abstract

Abstract?This study aims to evaluate the performance of the Decision Tree algorithm based on the entropy criterion (C4.5) in classifying student eligibility by considering both academic and non-academic data. The dataset consists of 200 entries with nine attributes, including attendance percentage, number of lateness incidents, disciplinary violations, average academic scores, participation, study hours, and extracurricular activities. Data processing was carried out through several stages, namely cleaning, transformation, feature selection, training and testing data splitting, and model evaluation using a confusion matrix. The experimental results show that the proposed model achieved an accuracy of 87.5%, an average precision of 85.6%, an average recall of 84.2%, and an F1-Score of 84.8%. These findings confirm that the C4.5 algorithm can be effectively applied to support student performance classification with a fairly high level of reliability.
Pelatihan Website Responsif UMKM dengan Flask dan Bootstrap 4.5 di Cimanuk Hartanto, Budi; Yuniarthe, Yodhi; Putra, Arie Setya; Fawa’ati, Teuku Muhamad; Brajanoto, Destoprani; Dirayati, Fadhilah
PENGAMATAN: Jurnal Pengabdian Masyarakat untuk Ilmu MIPA dan Terapannya Vol 2 No 2 (2024): PENGAMATAN: Jurnal Pengabdian Masyarakat untuk Ilmu MIPA dan Terapannya
Publisher : Jurusan Matematika FMIPA Universitas Pattimura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/pengamatanv2i2p54-60

Abstract

Pengamatan: Pelatihan Website Responsif UMKM dengan Flask dan Bootstrap 4.5 di Desa Cimanuk bertujuan untuk meningkatkan keterampilan digital pelaku UMKM dalam membangun website yang responsif dan efektif. Metode pelatihan meliputi sesi teori dan praktik, di mana peserta diajarkan cara menggunakan Flask untuk backend dan Bootstrap 4.5 untuk desain frontend. Pelatihan ini dirancang untuk memberikan pemahaman mendalam tentang pembuatan website yang dapat diakses dengan baik di berbagai perangkat, yang merupakan aspek krusial dalam pemasaran digital saat ini. Hasil pelatihan menunjukkan bahwa peserta mampu membuat website yang sesuai dengan standar responsif dan memiliki pemahaman yang lebih baik tentang teknologi web modern. Selain itu, pelatihan ini diharapkan dapat membantu UMKM di Desa Cimanuk untuk memperluas jangkauan pasar mereka dan meningkatkan visibilitas online mereka, yang pada akhirnya dapat mendukung pertumbuhan ekonomi lokal.
Pendampingan Masyarakat dalam Optimalisasi Administrasi Desa melalui Pelatihan Tata Kelola Dokumen Putra, Arie Setya; Yuniarthe, Yodhi; Fawa’ati, Teuku Muhamad; Brajanoto, Destoprani; Dirayati, Fadhilah; Hartanto, M Budi; Marlina, Iin
PENGAMATAN: Jurnal Pengabdian Masyarakat untuk Ilmu MIPA dan Terapannya Vol 3 No 1 (2025): PENGAMATAN: Jurnal Pengabdian Masyarakat untuk Ilmu MIPA dan Terapannya
Publisher : Jurusan Matematika FMIPA Universitas Pattimura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/pengamatanv3i1p23-26

Abstract

Well-organized village administration is an essential factor in supporting transparency and government effectiveness. However, many villages still face challenges in systematically managing administrative documents. This community service activity aims to provide training to village officials on effective document management. The method used in this activity is practice-based training with a participatory approach. The results of this training show an increase in understanding and skills in village document management. With this assistance, it is expected that village administration will be more structured and accountable.
Sentiment Analysis of Twitter Discussions About Lampung Robusta Coffee: A Comparative Study of Machine Learning Algorithms with SVM as The Optimal Model Yuniarthe, Yodhi; Syarif, Admi; Shofi, Imam Marzuki; Fatimah Fahurian
JURNAL TEKNIK INFORMATIKA Vol. 18 No. 2: JURNAL TEKNIK INFORMATIKA
Publisher : Department of Informatics, Universitas Islam Negeri Syarif Hidayatullah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15408/jti.v18i2.41316

Abstract

Lampung Robusta coffee is an important commodity in Indonesia, particularly in terms of local economic potential and global recognition. However, public perception of this product on social media, particularly Twitter, remains underexplored. This study addresses the need for a deeper understanding of consumer sentiment towards Lampung Robusta coffee, which could inform branding and marketing strategies. To approach this issue, we used five supervised machine learning algorithms-KNN, Naive Bayes, SVM, Decision Tree, and Logistic Regression-to perform sentiment classification on a dataset of tweets containing relevant keywords. The dataset was pre-processed using standard natural language processing techniques, including tokenization, stopword removal, and TF-IDF feature extraction. The SVM achieved the best performance on the unbalanced dataset for all metrics, with high and consistent accuracy and F1 scores. Logistic regression followed closely with similarly strong and stable results. Therefore, SVM is recommended as the final model. These results suggest that machine learning approaches can effectively classify sentiment in social media discussions about regional agricultural products and that random forest may provide the most robust performance in this context  
AGRICULTURAL AND PLANTATION PRODUCT MARKETING INFORMATION SYSTEM Refitasari, Ade Nisa; Yunita, Hilda Dwi; Yuniarthe, Yodhi
Journal of Technology and Data Science Vol. 1 No. 1 (2022): 2022
Publisher : PT. Alesha Media Digital

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

Abstract

The agricultural and plantation sectors play a key part in Indonesia's economic development. This is because the majority of Indonesians continue to rely on this industry for their lives, particularly as a provider of basics. Farmers in Marga Agung Village, Jati Agung District, South Lampung are one example. Currently, farmers purchase and sell agricultural products through agents, wholesalers, re­tailers, and consumers who rely on the conventional marketing system, resulting in a number of issues, such as the difficulty of selling suitable agricultural products. These agricultural products are getting more expensive in Indonesia, both in the eyes of customers and due to farmers' meager profit margins. Consequently, a WEB-based marketing system was developed utilizing a design methodology that em­ploys the UML Tool. The objective and benefits of building this website are to promote agricultural and plantation products, to facilitate the purchase and sale of agricultural and plantation products by farmers, and to facilitate the acquisition of agricultural and plantation products by consumers. 
TEACHER CERTIFICATION DECISION SUPPORT SYSTEM Sutriana, Sutriana; Zuhri, Khozainuz; Fahurian, Fatimah; Yuniarthe, Yodhi
Journal of Technology and Data Science Vol. 1 No. 1 (2022): 2022
Publisher : PT. Alesha Media Digital

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

Abstract

Technology in education in Indonesia has continued to improve throughout the 21st century. This results in a continuous evaluation of the education system, which in turn provides information on educational gaps. SMK Persada Bandar Lampung is an educational institution that has problems in assessing the feasibility of teacher certification, which does not yet have a system where errors often occur in the assessment process. Evaluating the feasibility of teacher certification, which is subjective will take time to process the results. In the process of assessing the feasibility of teachers, certification errors may occur. SMK Persada Bandar Lampung requires a decision support system that is expected to find a solution in the process of determining the best teacher. The decision system for assessingthe feasibility of teacher certification can facilitate data processing of the results of the teacher certification feasibility assessment at SMK Persada Bandar Lampung.Therefore, the researcher proposes a decision support system software engineering by applying Simple Additive Weighting (SAW). This system can later be used to assess the feasibility of teacher certification at SMK Persada Bandar Lampung to assist schools in evaluating the shortcomings and strengths of teacher performance
Strategi Pemasaran Digital Untuk Meningkatkan Penjualan Kue Dapur Bunda di Platform E-Commerce Ipnuwati, Sri; Mandala, Sri Surya; Khurani, Khurani; Yuniarthe, Yodhi
Jurnal Teknologi dan Informatika (JEDA) Vol 6, No 2 (2025): OKTOBER 2025
Publisher : Universitas Mitra Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57084/jeda.v6i2.2179

Abstract

Penelitian ini bertujuan untuk merancang dan mengimplementasikan strategi pemasaran digital guna mengatasi tantangan persaingan pasar dan keterbatasan jangkauan penjualan UMKM Kue Dapur Bunda, yang menjual berbagai produk kue kering dan makanan ringan tradisional (seperti Kaastangel, Nastar, dan Pempek). Studi ini didorong oleh kebutuhan mendesak untuk membangun infrastruktur digital yang optimal guna memaksimalkan potensi pasar online. Metode pengembangan sistem yang diterapkan adalah Waterfall, yang memberikan kerangka kerja terstruktur, dengan perancangan sistem dimodelkan secara terperinci menggunakan Unified Modeling Language (UML), termasuk Sequence Diagram untuk memodelkan perilaku transaksi login. Pelaksanaan penelitian menghasilkan sebuah platform e-commerce berbasis website yang menyediakan fungsionalitas lengkap untuk dua peran utama: Konsumen (mempermudah penelusuran produk, manajemen keranjang, dan penyelesaian pembayaran) dan Admin (mempermudah pengelolaan produk, data pesanan, verifikasi pembayaran, dan pelaporan). Pengujian fungsionalitas sistem dilaksanakan pada seluruh kasus uji menggunakan metode Black-Box Testing, dan hasilnya menunjukkan tingkat keberhasilan fungsionalitas sebesar 100% Valid, yang membuktikan sistem telah berjalan sesuai spesifikasi rancangan. Kesimpulan penelitian menegaskan bahwa platform e-commerce yang telah terimplementasi dan Valid ini terbukti efektif dalam mendukung strategi pemasaran digital Kue Dapur Bunda. Sistem ini memberikan Kemudahan Akses dan User Experience (UX) yang optimal bagi pembeli melalui alur transaksi yang lancar, sekaligus meningkatkan efisiensi kerja internal dan akurasi data bagi Admin. Dengan demikian, implementasi ini secara signifikan mengoptimalkan potensi pertumbuhan dan konversi penjualan Kue Dapur Bunda, memperluas jangkauan pasar, dan meningkatkan daya saing UMKM di pasar digital.
Pendampingan Strategi Marketing Berbasis Digital pada Kelompok Usaha Perajin Tapis dan Batik di Kabupaten Pringsewu Lampung Dwi Yunita, Hilda; Fahurian, Fatimah; Yuniarthe, Yodhi; Winarko, Triyugo; Sukri, Hamdan
ABDI AKOMMEDIA : JURNAL PENGABDIAN MASYARAKAT Vol. 3 No. 4 (2025)
Publisher : ABDI AKOMMEDIA : JURNAL PENGABDIAN MASYARAKAT

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

Abstract

Pringsewu Regency is one of the regencies in Lampung Province that has a creative economy. There are many business groups there, almost all of whom sell their craft products or superior products such as bamboo weaving, tapis crafts, batik crafts, clay crafts, snack businesses, brick and tile industries. However, the marketing or sales process is still carried out conventionally, namely sales can only be done within the region due to the limited promotional or marketing area. Less than optimal marketing of a product can result in high or low income or earnings for the business group or craftsman. All of this is due to the lack of media that can be used for online marketing. To address these issues, the PKM team of the Faculty of Computer Science, Mitra Indonesia University, utilized technology to conduct mentoring and training activities on Digital-Based Marketing Strategies. Furthermore, these training and mentoring activities were conducted through several sessions, so that participants had sufficient time to understand the technology and develop skills in using innovative technology products. The results of this community service activity are expected to inspire participants on how to market products more creatively using technology media so as to increase sales access and access to higher income for micro-businesses in general and especially for micro-businesses of Tapis and Batik artisans in Pringsewu Regency, Lampung.
Analisis Performansi Pendekatan Machine Learning pada Deteksi Penyakit Daun Tanaman Kopi Yodhi Yuniarthe; Rosyana Fitria Purnomo; Hilda Dwi Yunita; Fatimah Fahurian; Ahmad Ikhwan
Seminar Nasional Teknologi dan Multidisiplin Ilmu (SEMNASTEKMU) Vol. 5 No. 1 (2025): SEMNASTEKMU
Publisher : Universitas Sains dan Teknologi Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/p2t2nm71

Abstract

Abstract. Detection and identification of plant diseases is critical to the success and efficiency of agricultural production. Plant disease outbreaks are becoming more frequent throughout the world, and the presence of these diseases in cultivated plants has a significant impact on productivity. Therefore, researchers are focusing on developing effective and reliable plant disease detection methods. Thus, farmers can take advantage of early detection of this disease to minimize future losses. This article discusses machine learning approaches as well as decision trees, K-nearest neighbors, naive Bayes, support vector machines (SVM), and random forests for detecting coffee leaf diseases using leaf images. The above-mentioned classifications were researched and compared to determine the most suitable plant disease prediction model with the highest accuracy. Compared with other classification algorithms, the SVM algorithm achieves the highest accuracy of 99.75%. All the models trained above will be used by farmers to quickly identify and classify new diseases in images as a prevention strategy. As a preventive measure, farmers can detect and classify new diseases in images early.   Keywords: Coffee Classification, Image Processing, Machine Learning, Plant Disease Detection.  
Analisis Performansi Pendekatan Machine Learning Pada Deteksi Penyakit Daun Tanaman Kopi Purnomo, Rosyana Fitria; Yodhi Yuniarthe; Hilda Dwi Yunita; Fatimah Fahurian; Ahmad Ikhwan
Elkom: Jurnal Elektronika dan Komputer Vol. 18 No. 2 (2025): Desember : Jurnal Elektronika dan Komputer
Publisher : STEKOM PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/elkom.v18i2.3302

Abstract

Detection and identification of plant diseases is critical to the success and efficiency of agricultural production. Plant disease outbreaks are becoming more frequent throughout the world, and the presence of these diseases in cultivated plants has a significant impact on productivity. Therefore, researchers are focusing on developing effective and reliable plant disease detection methods. Thus, farmers can take advantage of early detection of this disease to minimize future losses. This article discusses machine learning approaches as well as decision trees, K-nearest neighbors, naive Bayes, support vector machines (SVM), and random forests for detecting coffee leaf diseases using leaf images. The above-mentioned classifications were researched and compared to determine the most suitable plant disease prediction model with the highest accuracy. Compared with other classification algorithms, the SVM algorithm achieves the highest accuracy of 99.75%. All the models trained above will be used by farmers to quickly identify and classify new diseases in images as a prevention strategy. As a preventive measure, farmers can detect and classify new diseases in images early.
Co-Authors Adelita, Ira Admi Syarif agus kurniawan syah Agus Wantoro Ahmad ikhwan Andriansyah, Beny Apri Candra Widyawati Arie Oktavianto Arie Setya Putra Arie Setya Putra Arini, Esty Prawita Arlisa, Yoana Brajanoto, Destoprani Brojonoto, Destroprani budi hartanto Budi Hartanto Destanto, Tri Dina Haryati Dirayati, Fadhilah Dwi Nurahman Fatimah Fahurian Fawa’ati, Teuku Muhamad Fawa’ati, Teuku Muhammad Hairudin Hairudin, Hairudin Hartanto, M Budi Hartanto, MB Hendri, Romi Hendro Pramono, Doni Eko Hendro, Doni Heni Sulistiyani Hilda Dwi Yunita Icha Nuari Idris Asmuni Iin Marliana Ikhwan, Ahkmad Ikhwan, Akhmad Ivan Febrianda Khoiriah, Nisaul Khozainuz Zuhri Khurani, Khurani M Budi Hartanto M. Budi Hartanto, M. Budi M.Budi Hartanto Machudor Yusman Mandala, Sri Surya marliana, iin Marlina, Iin Nanda Putra Wicaksono Oktaria, Eka Travilta Putra, Arie Ramandhita Herdianto Refitasari, Ade Nisa Resy Anggun Sari Rifan Wahyudi Romi Hendr Romi Hendri Romi Hendri Rosyana Fitria Purnomo Rudi Setiawan selipuri Septiono Septiono Shofi, Imam Marzuki Sri Ipnuwati Sukri, Hamdan Sumaryo Gitosaputro Sutriana, Sutriana syah, agus kurniawan Syah, Muhamad Arnando Triyugo Winarko Triyugo Winarko, Triyugo Warsito Warsito Wati, Deva Imelda Setia Wengrum, Tyas D Yonaldo Anggara Yuli Syafitri Yulistina Yulistina