Article Per Year (5 Year)
p-Index From 2021 - 2026
8.748
P-Index
This Author published in this journals
All Journal Jurnal Informatika JURNAL SISTEM INFORMASI BISNIS TELKOMNIKA (Telecommunication Computing Electronics and Control) Jurnal Sarjana Teknik Informatika JUITA : Jurnal Informatika Jurnal Aplikasi Bisnis dan Manajemen (JABM) E-Journal Jurnal Teknologi dan Sistem Komputer JIEET (Journal of Information Engineering and Educational Technology) Indonesian Journal of Information System JITK (Jurnal Ilmu Pengetahuan dan Komputer) JMM (Jurnal Masyarakat Mandiri) SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI ILKOM Jurnal Ilmiah MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer Jurdimas (Jurnal Pengabdian Kepada Masyarakat) Royal KOMPUTA : Jurnal Ilmiah Komputer dan Informatika GERVASI: Jurnal Pengabdian kepada Masyarakat INSIST (International Series on Interdisciplinary Research) Jurnal Informatika Global Jurnal Teknologi Terpadu bit-Tech Jurnal Abdimas Mandiri Indonesian Journal of Electrical Engineering and Computer Science Reswara: Jurnal Pengabdian Kepada Masyarakat BERNAS: Jurnal Pengabdian Kepada Masyarakat Journal of Computer Networks, Architecture and High Performance Computing Idealis : Indonesia Journal Information System Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Lumbung Inovasi: Jurnal Pengabdian Kepada Masyarakat Jurnal Mandiri IT Indonesian Community Journal Jurnal Teknologi Sistem Informasi Jurnal Ilmiah Teknik Informatika dan Komunikasi International Journal of Health, Engineering and Technology Jurnal INFOTEL SISFOTENIKA Jurnal Teknik Informatika dan Teknologi Informasi TEKNOSAINS: Jurnal Sains, Teknologi dan Informatika
Rendra Gustriansyah
Universitas Indo Global Mandiri, Indonesia
Religion Agriculture, Biological Sciences & Forestry Humanities Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Mechanical Engineering Medicine & Pharmacology Neuroscience Nursing Public Health Social Sciences Veterinary Other

Published : 76 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 76 Documents
Search

 4   5   6   7   8 
Pendampingan Digitalisasi Koleksi Museum Sultan Mahmud Badaruddin II Palembang Puspasari, Shinta; Gustriansyah, Rendra; Sanmorino, Ahmad; Rachmansyah, Rachmansyah; Khadafi, M. Khrisna Brilian; Putra, Aditya
Lumbung Inovasi: Jurnal Pengabdian kepada Masyarakat Vol. 11 No. 3 (2026): September
Publisher : Lembaga Penelitian dan Pemberdayaan Masyarakat (LITPAM)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36312/linov.v11i3.5349

Abstract

Digitalisasi koleksi museum merupakan upaya strategis dalam mendukung pelestarian warisan budaya benda melalui pemanfaatan teknologi informasi. Museum Sultan Mahmud Badaruddin II (SMB II) Palembang sebagai institusi pelestarian budaya memiliki berbagai koleksi benda bersejarah yang merepresentasikan identitas budaya masyarakat, khususnya Palembang. Namun, pengelolaan inventaris masih menghadapi kendala berupa keterbatasan dokumentasi digital, belum tersusunnya data koleksi secara sistematis, serta terbatasnya kemampuan pengelola dalam pengarsipan digital. Kegiatan pengabdian ini bertujuan untuk mendukung revitalisasi pengelolaan koleksi melalui pendampingan digitalisasi inventaris berbasis teknologi digital. Metode pelaksanaan meliputi observasi, identifikasi koleksi, dokumentasi visual, pencatatan metadata, serta pengelolaan data koleksi menggunakan Microsoft Excel. Selain itu, dilakukan pendampingan teknis kepada staf museum dalam digitalisasi visual koleksi museum. Hasil kegiatan pendampingan menunjukkan bahwa sebanyak 100 benda budaya koleksi museum SMB II berhasil didokumentasikan secara sistematis. Kegiatan ini sebagai langkah awal dalam degitalisasi koleksi museum SMBII dan diharapkan dapat meningkatkan efisiensi pengelolaan koleksi, mendukung pelestarian budaya benda, serta diharapkan dapat memperluas akses informasi budaya bagi pengelola museum secara berkelanjutan. Assistance in the Digitalization of the Collections of the Sultan Mahmud Badaruddin II Museum in Palembang Abstract Digitizing museum collections is a strategic effort to support the preservation of tangible cultural heritage through the use of information technology. The Sultan Mahmud Badaruddin II Museum (SMB II) Palembang, as a cultural preservation institution, has a diverse collection of historical objects that represent the cultural identity of the community, especially Palembang. However, inventory management still faces obstacles such as limited digital documentation, the lack of systematic collection data, and limited management skills in digital archiving. This community service activity aims to support the revitalization of collection management through assistance with digital technology-based inventory digitization. Implementation methods include observation, collection identification, visual documentation, metadata recording, and collection data management using Microsoft Excel. In addition, technical assistance was provided to museum staff in the visual digitization of museum collections. The results of the assistance activity indicate that 100 cultural objects from the SMB II museum collection have been successfully documented systematically. This activity is the first step in digitizing the SMBII museum collection and is expected to improve the efficiency of collection management, support the preservation of tangible cultural objects, and is expected to expand access to cultural information for museum managers in a sustainable manner.
Klasifikasi Sentimen Ulasan Aplikasi Gojek Berbasis Decision Tree Dengan Optimasi Grid Search Nabilah Mufti; Aurahaqqi Apriano Putri; Rendra Gustriansyah
Jurnal Sarjana Teknik Informatika Vol. 14 No. 1 (2026): Februari
Publisher : Program Studi Informatika, Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/jstie.v14i1.31092

Abstract

Penelitian ini bertujuan untuk mengklasifikasikan sentimen ulasan pengguna aplikasi Gojek secara otomatis menggunakan algoritma Decision Tree dengan optimasi hyperparameter GridSearchCV dan teknik penyeimbangan data SMOTE. Ulasan pengguna dari Google Play Store mencerminkan persepsi terhadap layanan, sehingga diperlukan metode analisis yang efisien. Dataset terdiri dari 44.950 ulasan yang diperoleh dari Kaggle dan diproses melalui tahapan tokenisasi, stopword removal, stemming, dan representasi numerik menggunakan TF-IDF. Model Decision Tree awal menghasilkan akurasi 87,59%. Setelah penerapan GridSearchCV dan SMOTE, akurasi model pada data seimbang menjadi 83,5% dengan F1-score 0,84. Namun, performa terhadap kelas minoritas (netral) masih rendah. Sebagai pembanding, model Random Forest menunjukkan hasil lebih baik dengan akurasi 86,5% dan F1-score 0,86. Hasil penelitian menunjukkan bahwa kombinasi TF-IDF dan Decision Tree efektif untuk klasifikasi sentimen mayoritas, tetapi kurang optimal pada kelas minoritas. Penggunaan model yang lebih kompleks seperti Random Forest disarankan untuk hasil klasifikasi yang lebih merata.
Public Sentiment Analysis of the Indonesian National Team's Performance Under Patrick Kluivert Using the Random Forest Algorithm M Rifqi Tri Putra; Rendra Gustriansyah; Lastri Widya Astuti
International Journal of Health Engineering and Technology Vol. 4 No. 6 (2026): IJHET MARCH 2026
Publisher : CV. AFDIFAL MAJU BERKAH

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55227/ijhet.v4i6.643

Abstract

This study aims to analyze public sentiment towards the performance of the Indonesian National Football Team during the Patrick Kluivert era using the Random Forest Classifier algorithm. The research data was obtained from 1,000 Twitter tweets collected through web scraping with relevant keywords, between January and March 2025. The obtained data was processed through the stages of cleaning, case folding, tokenization, stemming, and stopword removal, then converted into numeric form using the Term Frequency–Inverse Document Frequency (TF-IDF) method. Sentiment was categorized into two classes, namely positive and negative. The test results showed that the Random Forest model was able to classify sentiment with an accuracy rate of 83% with a precision value of 100%, a recall of 33.33%, and an F1-score of 50%. This finding confirms that public opinion towards the Indonesian National Team during the Kluivert era is divided into two main tendencies: positive support and negative criticism. This study proves that the Random Forest algorithm is effective for social media-based sentiment analysis and can be a reference for the PSSI and related parties in understanding public perception to improve the quality of team strategy and performance.
ENHANCING ELEMENTARY STUDENT’S KNOWLEDGE THROUGH WEB SECURITY FUNDAMENTALS COUNSELING Ahmad Sanmorino; Rendra Gustriansyah; Shinta Puspasari
JMM (Jurnal Masyarakat Mandiri) Vol 8, No 2 (2024): April
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/jmm.v8i2.21724

Abstract

Abstract: This Community Service Program (PkM) focuses on delivering fundamental web security concepts tailored to the age-specific needs of young learners. Collaborative efforts among teachers, and parents, ensure a cohesive implementation of web security measures within the school environment. This PkM activity aims to enhance elementary school student's knowledge about the importance of web security. The method used is by giving lectures and interactive discussions to PkM participants. The total number of participants involved in this PkM is around 25 people, consisting of teachers and students. Evaluation of this PkM activities based on questionnaire feedback from PkM participants. According to feedback from participants, there has been a noticeable improvement in understanding the significance of web security. Before engaging in PkM activities, only approximately 5 percent of students possessed knowledge regarding the importance of web security. However, post-PkM activities, approximately 90 percent of students affirmed their awareness of the significance of web security. 
Peningkatan Daya Saing UMKM Kuliner Kelurahan Talang Jambe Melalui Otomasi Pelayanan Pelanggan Berbasis IT Ahmad Sanmorino; Rendra Gustriansyah; Shinta Puspasari
BERNAS: Jurnal Pengabdian Kepada Masyarakat Vol. 7 No. 3 (2026)
Publisher : Universitas Majalengka

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31949/jb.v7i3.18451

Abstract

UMKM kuliner di Kelurahan Talang Jambe memiliki peran penting dalam perekonomian lokal, namun masih menghadapi kendala dalam pelayanan pelanggan akibat penggunaan metode komunikasi yang konvensional. Permasalahan yang ditemukan meliputi rendahnya pemahaman teknologi digital, lambatnya respons terhadap pelanggan, belum optimalnya pengelolaan katalog produk, serta minimnya pemanfaatan sistem otomasi layanan pelanggan. Kegiatan Pengabdian kepada Masyarakat (PkM) ini bertujuan meningkatkan daya saing UMKM melalui penerapan otomasi pelayanan pelanggan berbasis teknologi informasi. Metode yang digunakan meliputi survei kebutuhan, sosialisasi, pelatihan penggunaan WhatsApp Business dan fitur otomasi, serta evaluasi sebelum dan sesudah kegiatan. Hasil kegiatan menunjukkan peningkatan yang signifikan pada berbagai indikator, yaitu pemahaman teknologi digital dari 42% menjadi 88%, penggunaan WhatsApp Business dari 35% menjadi 90%, kecepatan respons pelanggan dari 48% menjadi 85%, dan kemampuan pengelolaan katalog produk dari 30% menjadi 87%. Hasil tersebut menunjukkan bahwa otomasi pelayanan pelanggan mampu meningkatkan kualitas layanan dan daya saing UMKM kuliner di Kelurahan Talang Jambe.
Klasifikasi Jenis Jamur Edible Dan Poisonous dengan Arsitektur Mobilenetv2 Ricky Saputra; Rendra Gustriansyah; Nazori Suhandi
Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Vol 11, No 2 (2026): Edisi Agustus
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/jurasik.v11i2.984

Abstract

Edible and poisonous mushrooms are difficult to distinguish visually, potentially causing errors in determining their safety for consumption. This study aims to develop a MobileNetV2-based image classification model to distinguish edible and poisonous mushrooms. A quantitative experimental approach with transfer learning was applied to 2,820 images from 47 species, consisting of 25 edible and 22 poisonous species. The dataset was divided into 70% training, 10% validation, and 20% testing data. The research involved image preprocessing, MobileNetV2 architecture design using ImageNet-pretrained weights, model training with Adam optimizer and categorical cross-entropy loss, and evaluation using accuracy, precision, recall, F1-score, and confusion matrix. The model achieved 98% training accuracy, 96% validation accuracy, and 92.2% testing accuracy, with a test loss of 0.271. On the testing data, the edible and poisonous classes achieved F1-scores of 0.93 and 0.91, respectively. These results indicate that MobileNetV2 can effectively classify edible and poisonous mushrooms with good generalization performance. The model can serve as an image-based identification aid but should not be used as the sole basis for determining mushroom safety.
Co-Authors Abel Destria Ade Fathurahman Adhe Suryani Aditya Putra, Aditya Agung Prakesakwa Ahmad Sanmorino Ahmad Sanmorino Aldi Saputra Amalia, Marshanda Aminuyati Andri Agus Agus S Antony, Fery Ariati, Nining Arief Ramadhan Aries Fadilla, Muhammad Bagas Ario Pratama, Surya Aurahaqqi Apriano Putri Cahyani, Septa Dana Indra Sensuse Darius Antoni Desfourtheen, Rinda Destria, Abel Dewi Sartika Dewi Sartika DEWI SARTIKA Dewi Sartika Dhamayanti Dhamayanti Dhamayanti, Dhamayanti Ditho Hersilava Dwi Asa Verano Ermatita - Fachry Abda El Rahman Febrianty Fery Antony Fery Antony Filian Falanda Hartini Hartini Hartini Hartini Hastha Sunardi Haversyalapa, Ditho Indah Permatasari Isabella, Isabella Juhaini Alie Khadafi, M. Khrisna Brilian Kris, Via Lastri Widya Astuti Lastri Widya Astuti M Rifqi Tri Putra M. Ricky Hikmawan Maharani, Aiga Rizki Marshanda Amalia Vega Megat Norulazmi Megat Mohamed Noor Miftahul Falah MILLANO, FIDO Mitha Sofiana Muhammad Farhan Muhammad Haviz Irfani Nabilah Mufti Nadia Damayanti Naretha Kawadha Pasemah Gumay Nazka yasidi Nazori Suhandi Pratama, M Duta Purbasari, Nadira Putri Purnamasari, Evi Rachmansyah Rachmansyah Rangga Febri Kasih Reza Iman Pribadi Ricky Saputra Rudi Heriansyah Ryan Ramanda Putra Sari, Nursella Sartika, Dewi Shinta Puspasari Shinta Puspasari Shinta Puspasari Suryati Suryati Suryati Suryati Terttiaavini, Terttiaavini Verano, Dwi Asa Wilza Nadia Wiyanto, Ari Yesinta Florensia Zulkifli Zulkifli