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All Journal Voteteknika (Vocational Teknik Elektronika dan Informatika) Jupiter Jurnal Media Infotama Jurnal Informatika Rekursif: Jurnal Informatika Jurnal Pseudocode PROCESSOR Jurnal Ilmiah Sistem Informasi, Teknologi Informasi dan Sistem Komputer JE (Journal of Empowerment) JSAI (Journal Scientific and Applied Informatics) Jurnal Teknologi Informasi dan Pendidikan Journal of Technopreneurship and Information System (JTIS) Progresif: Jurnal Ilmiah Komputer JATI (Jurnal Mahasiswa Teknik Informatika) Just TI (Jurnal Sains Terapan Teknologi Informasi) Journal of Empowerment Community Jurnal Teknologi Sistem Informasi dan Sistem Komputer TGD Jurnal Abdimas Serawai Jurnal Komputer, Informasi dan Teknologi Jurnal Teknoif Teknik Informatika Institut Teknologi Padang Jurnal Sistem Informasi Dan E-Bisnis Jurnal Ilmu Komputer Dan Informatika JURNAL BESEMAH Jurnal Pendidikan dan Pengabdian Masyarakat Cendikia Pendidikan GEMBIRA (Pengabdian Kepada Masyarakat) JPMTT (Jurnal Pengabdian Masyarakat Teknologi Terbarukan) Jurnal Al-Maun Jurnal TAM (Technology Acceptance Model)
hidayah, agung kharisma
Universitas Muhammadiyah Bengkulu
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PERBAIKAN CITRA INPUT UNTUK DETEKSI KUALITAS DAUN SAWI MENGGUNAKAN METODE HSV DAN COLOR BLOB Hidayah, Aditia; Reswan, Yuza; Alam, RG Guntur; Kharisma Hidayah, Agung
JATI (Jurnal Mahasiswa Teknik Informatika) Vol. 9 No. 3 (2025): JATI Vol. 9 No. 3
Publisher : Institut Teknologi Nasional Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36040/jati.v9i3.13781

Abstract

Deteksi citra secara otomatis pada produk pertanian, seperti daun sawi, menghadapi tantangan tersendiri akibat variasi warna, kondisi pencahayaan, serta kualitas citra yang dapat mempengaruhi tingkat akurasi sistem. Penelitian ini bertujuan untuk merancang sistem deteksi citra daun sawi dengan menerapkan metode Hue, Saturation, Value (HSV) dan Color Blob Detection, yang dipadukan dengan teknik preprocessing seperti Gaussian Blur, Histogram Equalization, dan Adaptive Thresholding guna meningkatkan kualitas citra sebelum proses deteksi. Sistem ini dikembangkan menggunakan bahasa pemrograman Python dan dievaluasi menggunakan Confusion Matrix untuk mengukur performa model dalam mendeteksi citra daun sawi.Hasil pengujian menunjukkan bahwa sistem mampu mencapai tingkat akurasi 73%, precision 100%, serta F1 Score 84%. Meskipun metode yang diterapkan menghasilkan performa yang cukup baik dalam deteksi citra daun sawi, masih terdapat beberapa keterbatasan, khususnya terkait variasi jarak pengambilan gambar serta ketidakstabilan pencahayaan yang dapat mempengaruhi hasil deteksi. Berdasarkan temuan penelitian ini, dapat disimpulkan bahwa metode yang digunakan cukup efektif dalam mendeteksi citra daun sawi, meskipun masih diperlukan perbaikan untuk meningkatkan konsistensi hasil dalam berbagai kondisi lingkungan.
KLASIFIKASI TINGKAT KEMATANGAN CABAI BERDASARKAN WARNA RGB MENGGUNAKAN METODE FUZZY LOGIC Tri Putra, Bagus; Sonita, Anisya; Kharisma Hidayah, Agung; Imanullah, Muhammad
JATI (Jurnal Mahasiswa Teknik Informatika) Vol. 9 No. 3 (2025): JATI Vol. 9 No. 3
Publisher : Institut Teknologi Nasional Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36040/jati.v9i3.13822

Abstract

Pemrosesan citra digital telah menjadi metode yang efektif dalam sektor pertanian, khususnya dalam menentukan tingkat kematangan buah. Penelitian ini bertujuan untuk merancang sistem klasifikasi tingkat kematangan cabai dengan memanfaatkan komponen warna RGB menggunakan pendekatan Fuzzy Logic. Data citra cabai diperoleh melalui proses akuisisi gambar menggunakan kamera digital dengan kondisi pencahayaan yang terkendali. Selanjutnya, citra yang diperoleh dianalisis untuk mengekstrak fitur warna dalam ruang warna RGB. Metode Fuzzy Logic dipakai untuk menentukan tingkat kematangan cabai berdasarkan nilai keanggotaan warna merah, hijau, dan biru. Hasil klasifikasi dikategorikan ke dalam beberapa Derajat kesiapan, yakni muda, matang, dan tua. Evaluasi sistem dilakukan dengan membandingkan hasil klasifikasi dengan data ground truth yang diperoleh atas pakar pertanian. Hasil penelitian menunjukkan bahwa metode Fuzzy Logic mampu mengklasifikasikan tingkat kematangan cabai dengan akurasi yang tinggi, didapatkan akurasi untuk jenis kategori cabai muda sebesar 100%, untuk jenis kategori cabai matang sebesar 93,33%, dan untuk jenis ketegori cabai tua sebesar 90%. Sehingga didapatkan rata-rata akurasi sebesar 94,44%. Implementasi sistem Ini berguna bagi petani untuk menetapkan waktu panen yang tepat. optimal, sehingga meningkatkan kualitas dan efisiensi dalam produksi cabai.
IDENTIFIKASI DAERAH RAWAN BANJIR DI KOTA BENGKULU MENGGUNAKAN K-MEANS CLUSTERING DENGAN PYTHON Hadi, Bintang; Guntur Alam, RG; Juhardi, Ujang; Kharisma Hidayah, Agung
JATI (Jurnal Mahasiswa Teknik Informatika) Vol. 9 No. 4 (2025): JATI Vol. 9 No. 4
Publisher : Institut Teknologi Nasional Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36040/jati.v9i4.13976

Abstract

Kota Bengkulu merupakan salah satu wilayah di Indonesia yang rentan terhadap bencana banjir, terutama akibat tingginya curah hujan serta perubahan tata guna lahan yang tidak terkendali. Permasalahan utama dalam mitigasi banjir adalah kurangnya identifikasi wilayah rawan secara sistematis berbasis data. Penelitian ini bertujuan untuk mengidentifikasi daerah rawan banjir di Kota Bengkulu dengan memanfaatkan algoritma K-Means Clustering berbasis Python. Data yang digunakan meliputi curah hujan dari BMKG periode April hingga Desember 2024 dan data historis banjir dari BNPB. Metode penelitian terdiri dari tahap pengumpulan dan praproses data, penerapan algoritma K-Means menggunakan Rumus Jarak Absolut, serta visualisasi hasil menggunakan pustaka matplotlib. Hasil analisis menghasilkan tiga kategori wilayah: risiko tinggi, sedang, dan rendah. Kecamatan Muara Bangka Hulu teridentifikasi sebagai wilayah dengan risiko tinggi, sedangkan Teluk Segara tergolong risiko rendah. Validasi dengan data historis menunjukkan hasil yang akurat dan relevan. Penelitian ini diharapkan dapat menjadi dasar pengambilan kebijakan mitigasi banjir di Kota Bengkulu, serta menjadi referensi bagi penerapan metode serupa di wilayah lain.
COMPARATIVE ANALYSIS OF SHOPEE AND TIKTOK SHOP USER SENTIMENT USING NAÏVE BAYES ALGORITHM Lestari, Putri Dwi; Hidayah, Agung Kharisma; Saputera, Surya Ade; Erwadi, Yetman; Alam, RG Guntur
Jurnal TAM (Technology Acceptance Model) Vol 16, No 1 (2025): Jurnal TAM (Technology Acceptance Model)
Publisher : Institut Bakti Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56327/jurnaltam.v16i1.1796

Abstract

The rapid growth of e-commerce has influenced changes in people's online shopping behaviour. Shopee and TikTok Shop are two popular e-commerce platforms in Indonesia, each offering unique features and shopping experiences. This research aims to analyse and compare user sentiment towards the two platforms by applying Naïve Bayes algorithm. User review data was obtained from Google Play Store through web scraping technique, then processed using Knowledge Discovery in Database (KDD) approach, which includes data collection, preprocessing, transformation, modelling, and evaluation stages. Naïve Bayes algorithm was used to classify the sentiment of the reviews into positive or negative categories. The results show that the majority of reviews for both platforms are positive, with Shopee having a higher proportion of positive sentiment than TikTok Shop. The model used shows good accuracy in classifying sentiment, although there is still a tendency to bias towards positive sentiment. The findings are expected to provide insights for e-commerce platform managers in improving service quality and better understanding user preferences.
Critical Success Factors of ICT Implementation in Vocational High Schools Alam, RG Guntur; Hidayah, Agung Kharisma
Jurnal Teknologi Informasi dan Pendidikan Vol. 18 No. 2 (2025): Jurnal Teknologi Informasi dan Pendidikan
Publisher : Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/jtip.v18i2.958

Abstract

Implementing Information and Communication Technology (ICT) in Vocational High Schools (SMK) plays a crucial role in enhancing the quality of learning, improving administrative efficiency, and preparing students for a technology-driven workforce. However, its implementation still faces various challenges, such as limited infrastructure, the readiness of educators, and uneven policy support. This study aims to identify the Critical Success Factors (CSFs) in ICT implementation in SMKs and analyze the challenges and opportunities for its development. A qualitative approach was employed, utilizing interviews with teachers, school principals, and students from various vocational schools to obtain a comprehensive perspective on ICT adoption in vocational education. The findings reveal eight key factors contributing to the success of ICT implementation: infrastructure availability, teacher competence, the role of school principals, government policy support, student engagement, curriculum integration, digital ethics, and continuous evaluation and monitoring. The study concludes that the success of ICT implementation heavily depends on the synergy between schools, the government, and industry. Therefore, more effective strategies are needed to ensure equitable access to technology, enhance teacher competencies, and strengthen digital-based curricula to optimize ICT to produce competitive SMK graduates in the Industry 4.0 era
Perancangan Sistem Perpustakaan Berbasis Web Pada SD Negeri 85 Kota Bengkulu Mahfuzhi, A.R Walad; Hidayah, Agung Kharisma; Sonita, Anisya; Checario, Devano
Jurnal Media Infotama Vol 21 No 2 (2025): Oktober
Publisher : UNIVED Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmi.v21i2.9310

Abstract

The development of information technology drives digital transformation in various fields, including elementary school library management. SD Negeri 85 Bengkulu City still uses a manual system for recording book borrowing and returning, resulting in frequent problems such as recording errors, data loss, and service delays. This study aims to design a web-based library system that can simplify the process of book data management, collection searches, and recording borrowing and returning more effectively, efficiently, and structured. The development method used is the Waterfall model, with a focus on the needs analysis and system design stages. The analysis process is carried out through observation, interviews, and literature studies to identify user needs. The results of the study are a system design consisting of a UML (Use Case and Activity Diagram) diagram, an Entity Relationship Diagram (ERD) for database design, and a simple and user-friendly user interface mockup. This system design is expected to be a reference in the development of a web-based library system at SD Negeri 85 Bengkulu City so that it can improve management efficiency, minimize recording errors, and provide easy access to book information for students and teachers.
PEMBUATAN MEDIA PEMBELAJARAN DAN POSTER DENGAN CANVA UNTUK MENINGKATKAN KREATIVITAS SISWA SERTA GURU SMK NEGERI 1 BUNGO -, Rozali Toyib; Hidayah, Agung Kharisma; Darnita, Yulia; Muntahanah, Muntahanah; Hendri, Sastya; Diana, Diana; Witriyono, Harry
Journal of Empowerment Community Vol. 6 No. 1 (2024): Maret 2024
Publisher : Universitas Perjuangan Tasikmalaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36423/jec.v6i1.1315

Abstract

Media pembelajaran membutuhkan kreativitas baik dari siswa maupun guru. sangat penting untuk dapat mengatur materi kelas yang menarik secara visual seperti presentasi, poster, kegiatan kelompok, materi kelas virtual seperti latar belakang Zoom atau Google Meet, dekorasi kelas, infografis, template video, dan materi lain yang memerlukan pelatihan khusus agar guru dan siswa dapat berdiskusi menggunakan Canva dalam pembuatan media pembelajar dan poster , menjadi kreatif dan mandiri secara artistik. Pengabdian kepada masyarakat ini bertujuan untuk memberikan inovasi kepada siswa dan guru untuk menghasilkan desain grafis berkualitas tinggi dengan tenaga minimal, dan kurikulum Merdeka memasukkan elemen digitalisasi yang mendorong guru dan siswa lebih kreatif dalam mengajar melalui berbagai platform yang tersedia di dunia maya. dan kebutuhan belajar. Metode atau pendekatan yang digunakan dalam kegiatan program PKM meliputi pelatihan pengembangan tentang media pembelajaran dan pembuatan poster menggunakan canva untuk siswa serta guru-guru. Kesimpulan : tingkat partisipasi guru dalam kegiatan tinggi , guru dapat dilatih untuk pelatihan, mereka dapat menggunakan sumber belajar selama pelatihan dalam kegiatan pengajaran dan pendidikan di sekolah, pelatihan berkelanjutan dengan topik masa depan saat ini diperlukan. Kata Kunci: media pembelajaran, krativitas, poster, canva.
Implementation of Support Vector Machine for Sentiment Analysis on Blibli App Reviews on Play Store Santika, Bima; Kharisma Hidayah, Agung
Voteteknika (Vocational Teknik Elektronika dan Informatika) Vol 13, No 2 (2025): Voteteknika (Vocational Teknik Elektronika dan Informatika)
Publisher : Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/voteteknika.v13i2.133666

Abstract

Blibli is one of the leading e-commerce platforms in Indonesia with a 4.7-star rating on the Google Play Store. Although it has many positive reviews, automatic sentiment analysis is needed to understand user perceptions objectively and efficiently. This study aims to classify the sentiment of user reviews of the Blibli application using the Support Vector Machine (SVM) algorithm. A total of 2,000 recent reviews were collected through web scraping and underwent preprocessing processes including case folding, cleaning, normalization, filtering, stemming, and tokenization. To address class imbalance, the SMOTE method was applied so that positive and negative sentiment data became balanced, with 1,413 reviews each. The data were then divided into three training and testing ratio scenarios: 90:10, 80:20, and 70:30. Text transformation was carried out using the TF-IDF method. Experiments were conducted by comparing four SVM kernels: Linear, RBF, Polynomial, and Sigmoid. The best results were obtained in the 90:10 scenario using the Linear kernel, achieving an accuracy of 96.82%, precision of 96.93%, recall of 96.82%, and F1-score of 96.82%. These findings indicate that SVM, particularly with the Linear kernel, is highly effective and balanced in classifying user review sentiments. The results of this study are expected to contribute to application developers in improving service quality based on user feedback obtained automatically and in a structured manner.
Implementasi Kombinasi Enkripsi Base64 Dengan Hashing Sha-1 Dan Md5 Pada Aplikasi Perpustakaan Universitas Muhammadiyah Bengkulu Andilala, Andilala; Hidayah, Agung Kharisma; Mahfuzy, AR. Walad; Oki, M.
Jurnal Teknologi Sistem Informasi dan Sistem Komputer TGD Vol. 6 No. 2 (2023): J-SISKO TECH EDISI JULI
Publisher : STMIK Triguna Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53513/jsk.v6i2.8546

Abstract

One of the aspects of information security that can be done for a system is by adding security to a system, if using Base64 with static Sha-1 and Md5 hashing there is little possibility of data theft by hackers because they have been given layered security, to apply base64 with hashing-1, a cryptographic science mechanism is needed in it. Lately, many universities in the library unit section have placed web-based applications on the internet as a medium for displaying information systems that are very cheap, many activities can be carried out by users on these presentation media, such as accepting registration for new library members, ordering books, presentation of scientific journals, presentation of student final assignments (thesis, theses and dissertations) and others. Data security that still uses the usual method often causes several problems, such as being exposed to attacks and break-ins by hackers which can result in leaks and loss of existing data. This problem arises because there is no security system for library applications, the purpose of this research is to implement security for the library system by implementing a combination of Base64 encryption with sha-1 and MD5 hashing so that important data contained in the library unit is safe from leaks. After implementing the collaborative use of Base64 with sha-1 and MD5 hashing, the results of hacking a simple Python script to test a brute force attack for testing password storage security using a combination of Base64 encryption and SHA-1 and MD5 hashing on library applications with after results testing a brute force attack on the Visual Studio Code (VSC) application, the results obtained are "Passwords do not match", this result indicates that the collaboration of several algorithms was successful.
WORKSHOP APLIKASI SURAT MENYURAT BERBASIS WEB BAGI KARYAWAN UNTUK MNINGKATKAN KUALITAS AFESIENSI KERJA Rajes, Achmad; Hidayah, Agung Kharisma; Yosa, Ari; Sulastri, Eni; Oktavia, Niken
JE (Journal of Empowerment) Vol 3, No 1 (2022): JUNI
Publisher : Universitas Suryakancana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35194/je.v3i1.2077

Abstract

ABSTRAK Keurangnya pengetahuan, skill, dan pelatihan merupakan salah satu faktor kurangnya efesiensi kerja pada pegawai. Tujuan pelatihan ini yaitu agar para karyawan dapat meningkatkan efesiensi kinerja. Metode kegiatan ini berupa workshop penggunaan web persuratan guna meningkatkan efesiensi kerja. Kegiatan ini di laksanakan di Perumda Tirta Hidayah Kota Bengkulu. Kegiatan ini diikuti oleh 10 orang karyawan yang ada di Perumda tersebut. Evaluasi dilakukan melalui Aplikasi Zoom yang melibatkan seluruh peserta karyawan dari Perumda. Pelatihan dan pendampingan penggunaan Web persuratan tidak hanya dilakukan melalui tatap muka, tim pengabdian juga menjelaskan kepada mitra untuk dapat berkonsultasi dengan menggunakan telpon dan aplikasi Whatsapp. Hasil dari kegiatan pengabdian agar karyawan dapat meningkatkan efesiensi kerja dengan menggunakan Web persuratan.ABSTRACTLack of knowledge, skills, and training is one factor in the lack of work efficiency for employees. The purpose of this training is so that employees can improve performance efficiency. The method of this activity is in the form of a workshop on the use of web correspondence to improve work efficiency. This activity was carried out at Perumda Tirta Hidayah, Bengkulu City. This activity was attended by 10 employees in the Perumda. The evaluation is carried out through the Zoom application which involves all employee participants from Perumda. Training and assistance on the use of Web correspondence is not only done face-to-face, the service team also explains to partners to be able to consult using the telephone and the Whatsapp application. The results of service activities are so that employees can improve work efficiency by using the web correspondence.
Co-Authors -, Rozali Toyib Abdullah, Dedy Ade Saputra Ade Viola Gustina Adinda, Fitri Aditian, Fraz Admira, Siti Alam, RG.Guntur Aminudin, Rahmad Andika Kurniawan Andilala Anggara , Yozi Anggi Josetio Prayoga Anisa Nur Amalah Apridiansyah, Yovi Ar. Walad Mahfuzi Ardi wijaya Ari Pitriyo Ari Satrio Wibowo Belo Sungkowo Bryan Febriansyah Cahyo Prihantoro cantika Chandra Kusuma Johan2 Checario, Devano Dandi Sunardi Darnita , Yulia Darnita, Yulia Dedy Abdullah Deslianti, Dwita Diana Diana Diana Diana Eka Sahputra Eko Saputra farid, farid achmadi Febriansyah, Bryan Fitri Adinda Gunawan Gunawan Gunawan Guntur Alam Guntur Alam, RG Hadi, Bintang Handayani, Sri Haris Munandar Haris Munandar Harry Witriyono Harry Witriyono Harry Witriyono Witriyono Hary Witriyono Helen Anggraini Hendri Wibowo, Sastya Hendri, Sastya Hendro eka purnama Hennie Lestyaningsih Hidayah, Aditia Hidayat, Wahid Iklas Iradat Sanjaya Imanullah, Muhammad Irawan, Raditya Frandika Iskandarsyah, Muhammad Juhardi, Ujang Khairullah Khairullah khairullah Koko Saputra Koko Saputra Legi Sarwanto Lestari, Putri Dwi Mahfuzhi, A.R Walad Mahfuzy, AR. Walad marhalim, marhalim Muhammad Imanullah Muntahanah Muntahanah Muntahanah Muntahanah, Muntahanah netty, Bima Santika Novian, Arif Tri Nur Ade Wijaya Nurmansyah Oki, M. Oktavia, Niken Onsardi, Onsardi Pahrizal, Pahrizal Pane, Ali Sutan pebriano, pigo Putra , Erwin Dwika Putra, Muhammad Ardiansah Putri Rahma Della Rajes, Achmad Ramzi, Reja Muhamad Ratnawili Regi Saputra Ridho Afriansyah Rifqo, Muhammad Husni Riozi, M Fakhrur Ririn Apriza Rojali Toyib Rozali Toyib Sahputra, Eka Sandhy Fernandez Santika, Bima Sapitri, Tari Juita Saputra, Regi Sarwanto, Legi Sastya H. Wibowo Sastya Hendri Wibowo Siregar, Fadel Muhammad Sonita, Anisya Sri Handayani Sri Handayani Sulastri, Eni Surya Ade Saputera Syaldanis Syam Tari Juita Sapitri Toyib , Rozali Toyib, Rozali Tri Putra, Bagus Tri Rahayu Triwahyuda, Bony ujang juhardi Ulit, Icuk Gempa Venny Arisi Vioneka, Ranti Wibada Alsupana, Bima Wibowo, Ari Satrio Wibowo, Sastya H. Wijaya, Ardi Wijaya, Nur Ade Witriyono, Harry Yetman Erwadi Yoga Saputra Yonaldo Putra Yosa, Ari Yulia Darmi Yulinda, Ade Tiara Yuza Reswan