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All Journal Jurnal Media Infotama Telematika : Jurnal Informatika dan Teknologi Informasi Rekursif: Jurnal Informatika Jurnal Pseudocode Jurnal Informatika Upgris Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) PROCESSOR Jurnal Ilmiah Sistem Informasi, Teknologi Informasi dan Sistem Komputer JURNAL PENDIDIKAN TAMBUSAI Jurnal Ilmiah Pendidikan dan Pembelajaran Jurnal Sistem Cerdas JSAI (Journal Scientific and Applied Informatics) Journal of Technopreneurship and Information System (JTIS) Jurnal Pengabdian Masyarakat Bumi Raflesia Jurnal Mnemonic JATI (Jurnal Mahasiswa Teknik Informatika) Community Development Journal: Jurnal Pengabdian Masyarakat Jurnal Teknik Informatika (JUTIF) Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer) Journal of Applied Computer Science and Technology (JACOST) Jurnal Abdimas Serawai Decode: Jurnal Pendidikan Teknologi Informasi EXPLORER Jurnal Multidisiplin Dehasen (MUDE) International Journal of Education and Social Science (IJESS) Jurnal Informatika Teknologi dan Sains (Jinteks) Jurnal Sistem Informasi Dan E-Bisnis Jurnal Ilmu Komputer Dan Informatika Jurnal Media Computer Science JIMAKUKERTA JURNAL BESEMAH Mestaka: Jurnal Pengabdian Kepada Masyarakat Jurnal Pendidikan dan Pengabdian Masyarakat JPNM : Jurnal Pustaka Nusantara Multidisiplin Cendikia Pendidikan Jurnal Informatika: Jurnal Pengembangan IT GEMBIRA (Pengabdian Kepada Masyarakat) RESLAJ: Religion Education Social Laa Roiba Journal JPMTT (Jurnal Pengabdian Masyarakat Teknologi Terbarukan) Jurnal Pengabdian Masyarakat Ilmu Komputer International Journal of Information Technology and Business Jurnal TAM (Technology Acceptance Model) JuTISI (Jurnal Teknik Informatika dan Sistem Informasi) JCOSIS (Journal Computer Science and Information Systems) Jurnal Komputer, Informasi dan Teknologi
Wijaya, Ardi
Program Studi Teknik Informatika, Fakultas Teknik Universitas Muhammadiyah Bengkulu, Bengkulu, Indonesia
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PENINGKATAN KAPASITAS PELAKU USAHA UMKM MELALUI PEMANFAATAN TEKNOLOGI DIGITAL Pratama, Rindi Yudha; Wijaya, Ardi
Community Development Journal : Jurnal Pengabdian Masyarakat Vol. 5 No. 3 (2024): Volume 5 No. 3 Tahun 2024
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/cdj.v5i3.28455

Abstract

Penelitian ini bertujuan untuk mengidentifikasi dan menganalisis peran teknologi digital dalam meningkatkan kapasitas pelaku usaha UMKM. Mikro, Kecil dan Menengah (UMKM) merupakan sektor yang memiliki peran penting dalam perekonomian Indonesia. Namun, perkembangan UMKM masih mengalami berbagai hambatan, salah satunya adalah keterbatasan kapasitas dalam mengelola usaha. Penelitian ini bertujuan untuk meningkatkan kapasitas pelaku usaha UMKM melalui pemanfaatan teknologi. Metode yang digunakan adalah pelatihan dan pendampingan dalam penerapan teknologi pada proses bisnis UMKM. Hasil penelitian menunjukkan bahwa pemanfaatan teknologi dapat meningkatkan efisiensi dan efektivitas dalam pengelolaan usaha, sekaligus mampu meningkatkan daya saing UMKM di era digital. Dengan demikian, pemanfaatan teknologi dapat menjadi solusi dalam meningkatkan kapasitas pelaku usaha UMKM.
Analysis of Twitter Sentiment in Cases Of Domestic Violence Comparison of Lexion-Based and Niave-Bayes Ardi Wijaya; Rozali Toyib; Jestika Safitri; Anisya Sonita; Yulia Darnita
International Journal of Information Technology and Business Vol. 7 No. 1 (2024): November: International Journal of Information Techonology and Business
Publisher : Universitas Kristen Satya Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24246/ijiteb.712024.01-08

Abstract

Twitter, a social media platform with millions of users, serves as a valuable source for unique insights. The case of Lestibillar domestic violence has garnered attention, fueling various circulating rumors that encompass positive, negative, and neutral opinions. This, in turn, gives rise to the potential spread of fake news. To counter this, sentiment analysis is employed using machine learning techniques. In this research, two machine learning algorithms within the realm of supervised learning are compared: lexicon-based and Naive Bayes. Sentiment objects are created for each algorithm to facilitate the comparison, aiming to determine which algorithm performs better in terms of accuracy. The results of the calculations indicate that Naive Bayes outperforms, achieving a superior accuracy of 99.96%, while the lexicon-based method lags significantly behind at 10.29%. The dominance of positive tweets is evident, comprising 2709 out of the total tweets on Twitter.
Aplikasi Pengenalan Sistem Isyarat Bahasa Indonesia dengan Tensorflow Lite dan Firebase Authentication Toyib, Rozali; Affandi Mussa, Anitya Putri; Wijaya, Ardi; Sonita, Anisya
Jurnal Teknik Informatika dan Sistem Informasi Vol 11 No 1 (2025): JuTISI
Publisher : Maranatha University Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28932/jutisi.v11i1.9678

Abstract

Deaf and mute individuals often face communication barriers with the general public due to limited understanding of sign language. This leads to a gap in social interaction and access to various public services. Government efforts to enhance social inclusion through various policies and programs need to be accompanied by practical solutions that can help the deaf and mute interact more easily with society. This study aims to develop a mobile application that can recognize and translate Indonesian Sign Language System (SIBI) into text or speech in real-time, thus helping the deaf and mute communicate more effectively with the general public. The application is designed using TensorFlow Lite for sign language recognition and Firebase Authentication for user authentication. The application was evaluated through questionnaires involving respondents from the general public and mobile experts. The results of the general user questionnaire showed an average satisfaction percentage of 86.65%, with positive ratings for ease of use, benefits, and application interface. Meanwhile, the results of the expert mobile questionnaire showed full satisfaction with an average percentage of 100%, indicating that all application features functioned well. The findings indicate that this application is effective in recognizing and translating sign language and is well-received by the deaf, mute, and the general public.
Internalisasi Tata Kelola Administrasi Pemerintahan melalui Praktik Kerja Lapangan di DPRD Kota Bengkulu Tauhid, Muhammad Ikhsan; Alam, RG Guntur; Wijaya, Ardi
Mestaka: Jurnal Pengabdian Kepada Masyarakat Vol. 5 No. 1 (2026): Februari 2026
Publisher : Pakis Journal Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58184/mestaka.v5i1.921

Abstract

Fieldwork Internship is a strategic curricular instrument that bridges the gap between academic theory and the empirical reality of the workplace. This activity aims to analyze the effectiveness of the implementation of Field Work Internship at the Bengkulu City DPRD Secretariat in improving student competency in public administration and legislative mechanisms. Using descriptive qualitative methods with participatory observation and in-depth interviews, this study evaluates student involvement in the management of official documents and government bureaucratic procedures. The outcomes of this activity indicate that student integration into the legislative work environment significantly improves administrative skills, understanding of sectoral regulations, and internalization of professional ethics. These findings confirm that practical experience in state institutions plays a crucial role in shaping students' career readiness, particularly in facing the complex dynamics of the public sector.
Analisis Penerapan Teknologi Berbasis Digital dan Strategi Pengembangan Sumber Daya Manusia dalam Meningkatkan Kinerja dan Produktivitas Perusahaan pada PT. UG Mandiri di Kota Bengkulu Anita Septiani Putri; Ardi Wijaya
JPNM Jurnal Pustaka Nusantara Multidisiplin Vol. 4 No. 2 (2026): May : Jurnal Pustaka Nusantara Multidisiplin (ACCEPTED)
Publisher : SM Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59945/jpnm.v4i2.1150

Abstract

Perkembangan teknologi digital menuntut perusahaan untuk mampu beradaptasi dengan memanfaatkan teknologi secara optimal serta didukung oleh sumber daya manusia yang kompeten. Penelitian ini bertujuan untuk menganalisis penerapan teknologi berbasis digital serta strategi pengembangan sumber daya manusia dalam meningkatkan kinerja dan produktivitas perusahaan pada PT. UG Mandiri Kota Bengkulu. Metode yang digunakan dalam penelitian ini adalah pendekatan deskriptif kualitatif melalui teknik observasi, wawancara, dan studi dokumentasi terhadap aktivitas operasional perusahaan. Hasil penelitian menunjukkan bahwa PT. UG Mandiri telah memanfaatkan teknologi komputer dan sistem administrasi digital dalam mendukung proses pengolahan data, pencatatan transaksi, serta komunikasi internal perusahaan. Namun demikian, penerapan teknologi tersebut belum sepenuhnya terintegrasi pada seluruh divisi sehingga masih terdapat beberapa proses kerja yang dilakukan secara manual atau semi-digital. Dari sisi pengembangan sumber daya manusia, perusahaan telah melakukan pembinaan dan pelatihan internal, namun program pengembangan kompetensi karyawan masih bersifat insidental dan belum terstruktur secara sistematis. Oleh karena itu, diperlukan integrasi antara penerapan teknologi dengan strategi pengembangan sumber daya manusia yang berkelanjutan agar tercipta kesesuaian antara sistem teknologi dan kompetensi karyawan dalam meningkatkan efektivitas serta produktivitas perusahaan.
Implementasi Wiener, Contrast Stretching, Sharpening Filter ada Citra Semangka Menggunakan MSE Muhammad Naufal Al Fadhil; Anita Septiani Putri; Dwy Mutia Dita; Ilpiklus Andika Putra; Sherenia Anisah Putri; Ardi Wijaya
JPNM Jurnal Pustaka Nusantara Multidisiplin Vol. 4 No. 2 (2026): May : Jurnal Pustaka Nusantara Multidisiplin (ACCEPTED)
Publisher : SM Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59945/jpnm.v4i2.1166

Abstract

Perkembangan teknologi komputer mendorong kemajuan dalam bidang pengolahan citra digital yang memungkinkan proses analisis dan peningkatan kualitas gambar secara lebih efektif. Penelitian ini bertujuan untuk mengimplementasikan dan membandingkan kinerja tiga metode peningkatan kualitas citra, yaitu Wiener Filter, Contrast Stretching, dan Sharpening Filter pada citra buah semangka. Penelitian menggunakan pendekatan eksperimen dengan metode kuantitatif, di mana citra semangka digunakan sebagai objek penelitian dan diproses menggunakan beberapa teknik peningkatan kualitas citra. Evaluasi hasil pemrosesan dilakukan dengan metode Mean Squared Error (MSE) untuk mengukur tingkat kesalahan antara citra asli dan citra hasil pemrosesan. Hasil penelitian menunjukkan bahwa Wiener Filter memberikan nilai MSE terendah sehingga paling efektif dalam mengurangi noise dan menghasilkan citra yang lebih halus. Contrast Stretching mampu meningkatkan kontras citra sehingga objek terlihat lebih jelas, sedangkan Sharpening Filter meningkatkan ketajaman dan mempertegas tepi objek dalam citra. Berdasarkan analisis visual dan numerik, masing-masing metode memiliki keunggulan tersendiri sesuai dengan tujuan pengolahan citra yang diinginkan. Penelitian ini diharapkan dapat menjadi referensi dalam pengembangan teknik peningkatan kualitas citra digital pada berbagai aplikasi pengolahan citra.
Perbandingan Particle Swarm Optimization Dan Naive Bayes Terhadap Sentimen Instagram Pada Pemilihan Presiden Ardi Wijaya; Metrisza Yona Saputra; Pahrizal
Reslaj: Religion Education Social Laa Roiba Journal Vol. 7 No. 1 (2025): RESLAJ: Religion Education Social Laa Roiba Journal 
Publisher : Intitut Agama Islam Nasional Laa Roiba Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47467/reslaj.v7i1.5327

Abstract

This research aims to compare the performance of two analysis techniques, namely Particle Swarm Optimization (PSO) and Naive Bayes, in evaluating public sentiment on Instagram after the 2024 presidential election. PSO is used to optimize important features in sentiment analysis, while Naive Bayes is used as a comparison for assess PSO performance. Data was obtained from user uploads, comments and interactions on Instagram regarding the presidential election. After data collection and pre-processing, significant features are extracted and both methods are applied for sentiment analysis. Evaluation was carried out to compare the Akurasi and performance of the two methods. The research results show that PSO has the potential to improve the Akurasi of sentiment analysis compared to Naive Bayes. This research provides in-depth insight into the advantages and disadvantages of each method in the context of sentiment analysis on the Instagram platform after the presidential election, as well as an important contribution to data-based political decision making.
Implementation of The Analytical Hierarchy (AHP) Process Method for The Selection of Decision Supports for The Selection of Your Lazismu Scholarship at Muhmmadiyah University Bengkulu Harry Witriyono; Ardi Wijaya; Ujang Juhardi; Safitri Safitri
Jurnal Komputer, Informasi dan Teknologi Vol. 2 No. 2 (2022): Desember
Publisher : Penerbit Jurnal Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53697/jkomitek.v2i2.885

Abstract

Proses seleksi dalam menentukan penerima beasiswa LazisMu di Universitas Muhammadiyah Bengkulu selama ini masih berpedoman pada kriteria penilaian serta persyaratan-persyaratan yang telah ditentukan. Berdasarkan observasi langsung di Universitas Muhammadiyah Bengkulu sistem penilaian dalam penentuan penerima beasiswa masih dilakukan secara konvensional atau manual. Maka dari itu, dengan tujuan membantu pihak LazisMu di Universitas Muhammadiyah Bengkulu diperlukan sistem pendukung keputusan dalam penentuan penerima beasiswa khususnya bagi mahasiswa yang berprestasi dan kurang mampu. sehingga dalam penyelesaiannya diperlukan sebuah sistem pendukung keputusan untuk multikriteria. Metode yang diterapkan pada sistem pendukung keputusan adalah AHP (analytical Hierarchy Process). Analitycal Hierarchy Process (AHP) merupakan metode yang banyak digunakan dalam kasus pembobotan kriteria dan penentuan prioritas setiap kriteria berdasarkan matriks perbandingan berpasangan. Hasil dari penelitian ini yaitu membantu memberikan rekomendasi pihak lazimu dalam menentukan penerima beasiswa.
Design and Development of An E-Voting Model for Village Head Elections Based on Android Lestri Yanti; Ardi Wijaya; Yovi Apridiyansyah; Pahrizal Pahrizal
Jurnal Komputer, Informasi dan Teknologi Vol. 3 No. 1 (2023): Juni
Publisher : Penerbit Jurnal Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53697/jkomitek.v3i1.1184

Abstract

Voting or voting in a democratic country is an important part of the means of selecting leaders. Village head elections are generally still carried out conventionally, elections still use paper to elect village heads (Kades) which are carried out by punching one of the candidate images. The problem that arises is that voters must come to the polling place in order to be able to collect data and vote, for Citizens who cannot attend the polling place or do not exercise their right to vote will add to the data on the abstentions list that is present at the election. In village head elections (Pilkades) the vote counting process is still done manually so it takes quite a long time. This study aims to build an e-voting simulation system which is expected to provide knowledge of technological developments in the field of general elections. This system development method uses Waterfall. Furthermore, if you have obtained the results, you will test the system that was built by testing it with the black box testing method to see in terms of functionality all features are running smoothly or not. The results of testing the E-voting application for village head elections show that the system can run well and has been implemented so that it can be used on Android-based smartphone devices.
Classification Of Accident Proposed Road Data Traffic In Bengkulu City Using K-Means Algorithm Muhammad Andre Anggara; Anisya Sonita; Muhammad Husni Rifqo; Ardi Wijaya
Jurnal Komputer, Informasi dan Teknologi Vol. 3 No. 2 (2023): Desember
Publisher : Penerbit Jurnal Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53697/jkomitek.v3i2.1188

Abstract

A traffic accident is an event where a motorized vehicle collides with another object and causes damage. Traffic accident data at the Bengkulu City Police LAKA LANTAS (Traffic Accident) Unit is only used as data reporting where the accident data can actually help to reduce the number of traffic accidents by grouping to facilitate the police in proper handling efforts to reduce the number of traffic accidents. traffic accidents by classifying accident-prone roads. One of the approaches used in developing the clustering method is the K-Means Clustering method, where this method is a data grouping method that attempts to partition data into two or more groups (clusters) with the same characteristics into the same group. The results and discussion of the research obtained a system capable of classifying accident-prone roads using the k-means method. From the tests carried out this system can be used by the POLRESTA in helping these problems.
Co-Authors A.R. Walad Mahfuzhi Abdul Syukur Abdullah, Dedy Ade Ferdiansyani Ade Saputra Adedio, Rangga Affandi Mussa, Anitya Putri Afrizal Afrizal Agus Setiawan Agustio, Faidillah Ahmad Novianto Aji Setiyadi Alam, RG.Guntur Alamsyah, Malik Fajar Aldi Gustomi Alfarrizi, Jhodie Ali Sutan Pane Andilala Andre Mefriansyah Anes Meyzera Anggara, Muhammad Andre Angtyas Candra Pratama Anisa Fhadila Anita Septiani Putri Anita Septiani Putri Aprianti, Zalia Apridiansyah, Yovi Ardiansyah, Adidi Muhammad Ardoni, Yoan Ari Purjiawan Arif Setiawan Aripun Arjun Putra Nandika Army Martia Harjuna Arya Gilang Ramadhan Avida, Meny Bagaskoro, Siswo Bryan Febriansyah Cecep Saputra Chahima Gustina Chandra Kusuma Johan2 Cheka, Julyane Kevin Daffa Putra Sadhevi Dandi Sunardi Darnita, Yulia Darsah Wendanado David Maria Vironika, Nuri Dede Erawan Dedy Abdullah Dedy Abdullah Deki Rahmat Della Rahma Della Dendi Pranata, Dendi Pranata Dendy Pratama Dian Ariestanto Diana Diana Diana Diana M.Kom Dimas Andrean Saputra Dinda Putri Dita, Willia Cahaya Doli Juliadi Dwita Deslianti Dwy Mutia Dita Dwy Mutia Dita Eka Sahputra Elly Hertita Elly Hertita fadila, selvana Fadli, Rengga Fadlikal Ilham Aditma, Afredo Febitri, Nora Febriani, Lovi Feni, Rita Fernando, Jerry Franata, Heru Gading Cempaka Gugi Walus Riman Gunawan Gunawan Gunawan Gunawan Gunawan Guntur Alam Gustomi, Aldi Habiel Fachrozzy Hariani, Merti Sri Harry Witriyono Harry Witriyono Hendri Wibowo, Sastya Hennie Lestyaningsih Heru Franata Heru Franata hidayah, agung kharisma Iffah Zafira Jannati Ilpiklus Andika Putra Ilpiklus Andika Putra Imelia Okta Rama Yanti Indra Setiawan Irsyad Ahmad Fauzan Janati, Iffah zafira Jeri Fernando Winata Jerry Ario Zhonata Jerry Fernando Jestika Safitri Juhardi , Ujang Juhardi, Ujang Julfi Siswanto Juliza, Sita Khairullah khairullah Kharisma , Agung Khoiriah nur aisyah Kirman Kirman Kirman, Kirman Kontesa, Ronaldo Kornengsih, Resnita Kurniawan, Edo Kusuma Putra Al Pharisie Lestri Yanti Liza nurpatmala M Rafli Yudhatama M Sapta Pirdaus M Yusuf Ramadhan M. Dhaffa Ghiffari M. Dhaffa Giffari M. Gilang Ramadhan M. Gilang Ramadhan M. Husni Rifqo M. Khairul Razikin M. Sapta Firdaus M. Sapta Firdaus Marhalim marhalim, marhalim Maskuri Sutomo Maulana, M Fiqri Mawarni, Shindy Meny Avida Merti Sri Hariani Metrisza Yona Saputra Meyzera, Anes Mohammad Abkar Nur Rohman Mohammad Candra wiliam Muhamad Abdul Fajri Muhammad Aksyah Muhammad Andre Anggara Muhammad Febriansyah Muhammad Hikmal Febrian Muhammad Husni Hidayat Muhammad Husni Rifqo Muhammad Husni Rifqo Muhammad Imanullah Muhammad Kurrata A’yunin Muhammad Miatsyah Muhammad Naufal Al Fadhil Muhammad Naufal Al Fadhil Muhammad Rafi Aldan Pratama Muhammad Rifqo Muhammad Teguh Satrio Mulyadi, Maheran Muntahanah Muntahanah Muntahanah, Muntahanah Mutiara Hikmah Nadia Berliana Nagita Efprillia Nhadya Vita Loca Nirina Nurhazelin Noris Feter Novan Gilang Ramadhan Nur'aini Nur'aini Nur'aini, Nur'aini Nurhayati Nurhayati Nuri David Maria Veronica Nuri David Maria Veronika Nuri David Maria Veronika Nurwijayanti Nyko Condro Dinoto M.N Pahriza Pahriza Pahrizal Pahrizal Pahrizal Pahrizal Pahrizal, Pahrizal Pandu Sujaba Pasha Osama F Fatona Pindo Putra Pratama Pitria Hasanah Pratama, Rindi Yudha Prayoga Putra Puji Rahayu Putra, Erwin Dwika Putra, Muhammad Ardiansah Putra, OJi Herwanda Putra, Riky Ade Putri Rahma Della Putri, Dinda Raffles, Richard Rahmat, Deki Rajes Andika Putra Ramzi, Reja Muhamad Randi Randi Afri Nandes Randi Trio Ardiansyah Rasyid, Muhammad Soelaiman Regi Febian Guteres Rekhi Thiara Renaldi Renaldi Reyno Januarian Syatria Ria Parina Ridho Akbar Ridho Ikhlasul Rifqo, Muhammad Husni rindy, rindy balincha Rohman, Mohammad Abkar Nur Ronaldo Kontesa Rosalina Rosalina Rozali Toyib Rozali Toyib Safitri Safitri Safitri Safitri Safitri, Aisyah Sandhy Fernandez Seftianto Selta Jaya Putra Sherenia Anisah Putri Sherenia Anisah Putri Soneta Sulaini Sonita , Anisya Sonita, Anisya Sulaini, Soneta Supriatin Supriatin Supriatin Supriatin, Supriatin Surya Ade Saputera Susilo Dwi Prabowo Tauhid, Muhammad Ikhsan Teguh Wibowo Thio Ragil Alfares Toyib, Rozali Ujang Juhard ujang juhardi Umasih Umasih Venny Arisi Veronika, Nuri David Maria Vicky Victori Vivin Tamara Waluyo Willia Cahaya Dita Wisnu Gusti Gusti Gusti Witriyono, Harry Yawahar, Jon Yoan Ardoni Yoga Muhamad Aryanto Yoga Saputra Yogi Bakti Husada Yovi Apridiansyah Yovi Apridiansyah Yovi Apridiyansyah Yovi Apridiyansyah Yuda, Azildjian Arma Yudha, Bima Satria Yulia Darmi Yulia Darnita yuliadarnita yuliadarnita Yuza Reswan Zalia Aprianti