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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 BAREKENG: Jurnal Ilmu Matematika dan Terapan 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 Teknosains : Jurnal Sains,Teknologi dan Informatika Journal of Computer Networks, Architecture and High Performance Computing Idealis : Indonesia Journal Information System Lumbung Inovasi: Jurnal Pengabdian Kepada Masyarakat Indonesian Community Journal Jurnal Teknologi Sistem Informasi Jurnal Ilmiah Teknik Informatika dan Komunikasi Jurnal INFOTEL SISFOTENIKA Jurnal Teknik Informatika dan Teknologi Informasi
Rendra Gustriansyah
Universitas Indo Global Mandiri, Indonesia
Religion Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Mechanical Engineering Medicine & Pharmacology Nursing Physics Public Health Social Sciences Transportation Other

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Toddlers’ Nutritional Status Prediction Using the Multinomial Logistics Regression Method Rendra Gustriansyah; Nazori Suhandi; Shinta Puspasari; Ahmad Sanmorino; Dewi Sartika
Journal of Computer Networks, Architecture and High Performance Computing Vol. 6 No. 1 (2024): Article Research Volume 6 Issue 1, January 2024
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v6i1.3372

Abstract

Malnutrition is one of the foremost health problems experienced by children under five in many countries, especially in low and middle-income countries. Meanwhile, the target of Sustainable Development Goals (SDGs) 2.2 is that all forms of malnutrition must end by 2025. Therefore, this study aims to predict the toddlers’ nutritional status (malnutrition, undernutrition, overnutrition, and normal nutrition) based on age, body mass index (BMI), weight, and length using the Multinomial Logistic Regression (MLR) classification method. The dataset consists of two hundred toddlers obtained from the Kaggle site. Following pre-processing, the dataset is divided, with 80 percent of the data for training and the remaining 20 percent for testing. The model was trained using 10-fold cross-validation (CV). In Addition, the MLR model performance was evaluated using the confusion matrix (CM), the area under the curve (AUC), and the Kappa coefficient (KC). The evaluation results using CM show that the accuracy, sensitivity, and specificity values are 0.9412, 0.9375, and 0.9790, respectively. AUC and KC also show excellent results. It indicates that the MLR method is an esteemed and recommended method for predicting the nutritional status of toddlers. Therefore, this research can contribute to providing early information so that the Government can immediately determine the necessary treatment.
Pendampingan Pemanfaatan Mikroskop Digital dalam Konservasi Koleksi Kain Songket Museum Sultan Mahmud Badaruddin II Shinta Puspasari; Rendra Gustriansyah; Ahmad Sanmorino; Ditho Hersilava; Ade Fathurahman
I-Com: Indonesian Community Journal Vol 4 No 2 (2024): I-Com: Indonesian Community Journal (Juni 2024)
Publisher : Fakultas Sains Dan Teknologi, Universitas Raden Rahmat Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33379/icom.v4i2.4234

Abstract

Conservation of Palembang Songket woven cloth is carried out at SMBII Museum. The thread fibers woven into Songket cloth are small in size and require a microscope to see the thread fibers clearly before determining the appropriate conservation mechanism for fabric damage. Community service activities are carried out by assisting in the use of digital microscopes in the conservation of Songket cloth collections. A digital microscope is used to magnify the appearance of the gold thread fibers of the Songket cloth, whether there is damage or not. The activity began with setting up a digital microscope device to be used in the study of Songket cloth conservation and continued with assistance in using the microscope by participants. The results of the assistance show that users can easily use digital microscope devices to display Songket fabric fibers that are damaged and require conservation. Hopefully, this community service will make it easier for the SMBII museum to carry out conservation and learning tasks at the museum and have an impact on ensuring the resilience of the Palembang Songket cloth cultural heritage in the digital era.
Pelatihan Penggunaan Aplikasi Reservasi Kamar Hotel Untuk Meningkatkan Layanan Konsumen Nazori Suhandi; Rendra Gustriansyah
Jurdimas (Jurnal Pengabdian Kepada Masyarakat) Royal Vol 7, No 2 (2024): April 2024
Publisher : STMIK Royal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33330/jurdimas.v7i2.2938

Abstract

The travel and tourism sectors are closely related to the hospitality sector. The success of a hotel in this digital era is strongly supported by customer service that utilizes information technology-based applications. However, using these applications effectively requires proper training and understanding. Therefore, this service activity aims to train Swarna Dwipa hotel staff in operating a web-based hotel room reservation application. It is one way for hotel staff to provide optimal service and assist in driving business success in the hospitality sector. Many studies show that operating hotel room reservation applications can increase customer satisfaction and efficiency in the hotel business. However, proper and systematic training is necessary to maintain competitiveness. The stages of this activity include observation, interviews, sharing knowledge, training in application use, and evaluation. The simulation results show that participants can use the reservation application in a structured and systematic manner with a significant level of user acceptance of applications. Keywords: application; hotel; training; reservation
Comparison of naive Bayes and decision tree algorithms to assess the performance of Palembang City fire and Disaster management employees Dewi Sartika; Rendra Gustriansyah
TEKNOSAINS : Jurnal Sains, Teknologi dan Informatika Vol 11 No 1 (2024): TEKNOSAINS: Jurnal Sains, Teknologi dan Informatika
Publisher : LPPMPK-Sekolah Tinggi Teknologi Muhammadiyah Cileungsi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37373/tekno.v11i1.843

Abstract

The employee performance assessment at the Palembang City Fire and Disaster Management Service (DPKPB) is applied to other than the employee performance assessment implementation team based on the Decree of the Head of the Palembang City DPKPB Number 146 of 2021 concerning the employee performance assessment implementation team and awards for exemplary employees. Subjective assessments are avoided to obtain assessment results that are by the achievements of each employee. The application of data mining can be an alternative to avoid subjectivity in performance assessment. In this research, a comparison of the Naive Bayes and Decision Tree algorithms was carried out to assess the performance of Palembang City DPMPB employees. The results of further research will be used as an alternative solution in conducting performance assessments that are more objective than previous assessments. Both algorithms were evaluated for model performance using the Confusion Matrix. Based on the results of the evaluation carried out, it was stated that the Decision Tree algorithm had better accuracy, namely 91.74% compared to Naïve Bayes which had an accuracy of 88.99% with a test size of 0.4
ANALISIS USER EXPERIENCE UNTUK MENGOPTIMASI APLIKASI PRODESKEL DI KOTA PALEMBANG Sari, Nursella; Gustriansyah, Rendra; Mair, Zaid Romegar
IDEALIS : InDonEsiA journaL Information System Vol. 7 No. 1 (2024): Jurnal IDEALIS Januari 2024
Publisher : Universitas Budi Luhur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36080/idealis.v7i1.3126

Abstract

Prodeskel is a site-based application and used as an information center for data related to Villages and Subdistricts. All villages and sub-districts in Indonesia use Prodeskel, so the large number of users of Prodeskel causes frequent errors in application which give rise to complaints from users, likewise the city of Palembang, to overcome this problem it’s necessary to improve the quality of Prodeskel through user experience. Therefore, this study analyzes user experience on Prodeskel using three methods, namely, SUS, UEQ and Heart Metrics. SUS method can be used easily and helps in evaluating a system,UEQ provides analysis tools that are accurate and easy to interpret, and Heart Metrics can easily identify goals and success of the application. Dapil 4-6 of Palembang City became the research location because this area was easy to cover, by distributing questionnaire forms via WhatsApp to users, with a total of 45 respondents. SUS, the calculation results obtained a total score of 65. UEQ obtained an average value of >0.8, which means variables had positive values. Meanwhile, Heart Metrics, it was found that there were two variables that had a high level of usefulness, namely engagement and retention, while the other three variables had a very high level of usefulness. Based on the analysis results, obstacles received by users in using this application are the level of active use and ease of application. With this research, it’is hoped that in quality of the application will be improved so that there will be no complaints from users.
KLASTERISASI PIXEL CITRA KOLEKSI FOTO MUSEUM MONPERA DENGAN METODE K-MEANS PADA APLIKASI AUGMENTED REALITY Haversyalapa, Ditho; Puspasari, Shinta; Gustriansyah, Rendra
IDEALIS : InDonEsiA journaL Information System Vol. 7 No. 2 (2024): Jurnal IDEALIS Juli 2024
Publisher : Universitas Budi Luhur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36080/idealis.v7i2.3175

Abstract

Museum Monpera Palembang adalah sebuah museum yang memiliki koleksi foto-foto pahlawan nasional Indonesia. Koleksi foto tersebut memiliki nilai historis dan makna yang mendalam bagi masyarakat Indonesia, tetapi beberapa di antaranya sudah terlihat samar dan kabur sehingga informasi yang tergambar menjadi tidak jelas. Penelitian ini bertujuan untuk menerapkan metode klasterisasi pixel yang digabungkan dengan metode K-Means pada aplikasi Augmented Reality untuk melakukan pengujian kualitas citra pada koleksi foto pahlawan museum Monpera. Penelitian ini menggunakan algoritma K-Means yang merupakan salah satu algoritma partitional yang didasarkan pada penentuan jumlah awal kelompok dengan mendefinisikan nilai centroid awalnya. Penelitian ini juga menggunakan teknologi Augmented Reality berbasis Android untuk memberikan pengalaman interaktif kepada pengunjung museum. Hasil pengujian citra menggunakan metode K-Means menunjukkan data evaluasi yang melibatkan Silhouette Score, Calinski-Harabasz, dan Dunn Index. Hasil pengujian ini menunjukkan bahwa metode K-Means belum mampu meningkatkan kualitas citra hasil klasterisasi pixel, tetapi penelitian ini berhasil mengembangkan aplikasi AR dan memberikan kontribusi penting dalam memahami dan mengatasi tantangan dalam mempertahankan integritas visual dari koleksi foto pahlawan nasional Indonesia melalui pengembangan teknik pengolahan citra yang lebih efektif dan inovatif menggunakan metode Clustering pixel dan K-Means dalam konteks Augmented Reality.
Klasifikasi Penyakit Daun Pisang menggunakan Convolutional Neural Network (CNN) Pratama, M Duta; Gustriansyah, Rendra; Purnamasari, Evi
Jurnal Teknologi Terpadu Vol 10 No 1 (2024): Juli, 2024
Publisher : LPPM STT Terpadu Nurul Fikri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54914/jtt.v10i1.1167

Abstract

Bananas are a fruit with promising economic value in Indonesia. They are an essential commodity for farmers, but diseases affecting banana plants can harm their livelihoods. Banana diseases initially attack the leaves, and in the early stages, they are difficult to differentiate with the naked eye due to farmers’ limited knowledge of pathogens. This research utilized the Convolutional Neural Network (CNN) method with transfer learning assistance using Google Colab to facilitate the classification of banana leaf diseases. The trained model experienced overfitting, so regularization was applied using dropout. The best model achieved an accuracy of 92%, precision of 92%, sensitivity of 91%, and an F1-score of 91% at a 70:20:10 ratio on epoch 80, as evaluated and validated using a confusion matrix. This study produced a reliable model for classifying banana leaf disease.
Sosialisasi Aplikasi Augmented Reality MONPERA untuk Pengenalan Pahlawan Nasional dr. AK.Gani Puspasari, Shinta; Haversyalapa, Ditho; Gustriansyah, Rendra; Sanmorino, Ahmad
Jurnal Abdimas Mandiri Vol. 8 No. 2
Publisher : UNIVERSITAS INDO GLOBAL MANDIRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36982/jam.v8i2.4088

Abstract

Museum merupakan lembaga yang bertugas menyimpan koleksi benda bernilai sejarah untuk tujuan edukasi maupun rekreasi. MONPERA adalah museum yang memiliki koleksi foto pahlawan terutama berjasa pada perang lima hari lima malamdi Palembang. Koleksi foto disajikan secara tradisional tanpa keterangan yang memberikan informasi bagi pengunjung museum sehingga memerlukan media alternatif untuk mendukung edukasi sejarah pahlawan pada koleksi foto MONPERA. Salah satu pahlawan nasional sekaligus pejuang perang lima hari lima malam di Palembang adalah dr.AK.Gani. Beliau juga memiliki museum yang menyimpan koleksi foto dan benda bernilai sejarah lainnya di Museum dr.AK.Gani. Pengembangan media berbasis teknologi Augmented Reality (AR) foto pahlawan koleksi MONPERA juga dapat dimanfaatkan untuk memperkenalkan sejarah perjuangan dan koleksi foto Musuem dr.AK.Gani. Tujuan kegiatan PkM sosialisasi aplikasi AR foto pahlawan dr.AK.Gani dan koleksi foto lainnya adalah untuk mengenalkan cara pemanfaatan aplikasi yang diharapkan efektif meningkatkan motovasi dan pengetahuan mahasiswa dan pelajar sebagai mayoritas pengunjung museum. Hasil evaluasi kegiatan menunjukkan bahwa aplikasi AR bermanfaat untuk pembelajaran sejarah pahlawan dan memotivasi pengguna untuk belajar sejarah lewat koleksi foto koleksi Museum MONPERA khususnya tentang dr.AK.Gani. Aplikasi AR tersebut diharapkan dapat diperluas dengan penambahan fitur bukan hanya terbatas koleksi foto pahlawan tetapi koleksi benda lainnya di museum sehingga memberikan pengalaman lebih menarik bagi pengunjung museum MONPERA dan dr.AK. Gani serta berdampak pada peningkatan jumlah pengunjung museum.
Penyuluhan Aman Berkomunikasi Melalui Whatsapp pada Ponpes di Kelurahan Talang Jambe Palembang Sanmorino, Ahmad; Gustriansyah, Rendra; Puspasari, Shinta
Reswara: Jurnal Pengabdian Kepada Masyarakat Vol 6, No 1 (2025)
Publisher : Universitas Dharmawangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46576/rjpkm.v6i1.4937

Abstract

WhatsApp menjadi salah satu media komunikasi yang paling banyak digunakan oleh berbagai kalangan, termasuk di lingkungan pondok pesantren, karena kemudahannya dalam berbagi informasi secara cepat dan efisien. Namun, pemahaman tentang keamanan dalam penggunaannya masih sering terabaikan. Di Kelurahan Talang Jambe Palembang, penyuluhan terkait cara berkomunikasi yang aman melalui WhatsApp sangat dibutuhkan untuk melindungi para siswa dan tenaga pengajar dari potensi risiko siber yang dapat mengganggu kegiatan pembelajaran. Pengabdian ini bertujuan untuk meningkatkan kesadaran dan pemahaman para siswa dan tenaga pengajar di Pondok Pesantren Kelurahan Talang Jambe Palembang mengenai pentingnya berkomunikasi secara aman melalui WhatsApp. Diharapkan peserta dapat mengenali potensi risiko siber dan menerapkan langkah-langkah keamanan dalam aktivitas komunikasi sehari-hari. Adapun mitra kegiatan pengabdian ini adalah Pondok Pesantren di Kelurahan Talang Jambe Palembang. Pengabdian dilakukan melalui pendekatan penyuluhan dengan metode ceramah dan diskusi interaktif. Materi yang disampaikan mencakup praktik terbaik dalam penggunaan WhatsApp, seperti pengaturan privasi, pengenalan phishing, dan cara menghindari penipuan daring. Hasil feedback pengabdian ini menunjukkan adanya peningkatan pemahaman para peserta perihal berkomunikasi secara aman melalui WhatsApp. Sebanyak 80 persen peserta menyatakan tidak akan mengklik sembarang tautan pada pesan WhatsApp. Sebanyak 80 persen peserta menyatakan tidak akan memberikan informasi pribadi ke orang tak dikenal. Sebanyak 80 persen peserta menyatakan akan selalu update versi WhatsApp terbaru agar lebih aman.
Tree-based models and hyperparameter optimization for assessing employee performance Gustriansyah, Rendra; Puspasari, Shinta; Sanmorino, Ahmad; Suhandi, Nazori; Sartika, Dewi
Indonesian Journal of Electrical Engineering and Computer Science Vol 38, No 1: April 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v38.i1.pp569-577

Abstract

The Palembang city fire and rescue service (FRS) is encountering challenges in adhering to national standards for fire response time. Hence, the Palembang city FRS is committed to enhancing employee performance through quarterly performance assessments based on various criteria such as attendance, work targets, behavior, education, and performance reports. This study proposes tree-based models in machine learning (ML) and hyperparameter optimization to assess the performance of Palembang city FRS employees. Tree-based models encompass decision trees (DT), random forests (RF), and extreme gradient boosting (XGB). The predictive performance of each model was evaluated using the confusion matrix (CM), the area under the receiver operating characteristic (AUROC), and the kappa coefficient (KC). The results indicate that RF performs better than DT and XGB in the sensitivity, AUROC, and KC metrics by 1.0000, 0.9874, and 0.8584, respectively.
Co-Authors Ade Fathurahman Adhe Suryani Agung Prakesakwa Ahmad Sanmorino Aldi Saputra Amalia, Marshanda Aminuyati Andri Agus Agus S Antony, Fery Apriano Putri, Aurahaqqi Ariati, Nining Arief Ramadhan Cahyani, Septa Dana Indra Sensuse Darius Antoni Desfourtheen, Rinda Destria, Abel DEWI SARTIKA Dewi Sartika Dewi Sartika Dewi, Deshinta Arrova 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 Isabella, Isabella Juhaini Alie Kris, Via Lastri Widya Astuti M. Ricky Hikmawan Maharani, Aiga Rizki Megat Norulazmi Megat Mohamed Noor MILLANO, FIDO Mitha Sofiana Mufti, Nabilah Muhammad Farhan Muhammad Haviz Irfani Nadia Damayanti Nazka yasidi Nazori Suhandi Nazori Suhandi Pratama, M Duta Purbasari, Nadira Putri Purnamasari, Evi Rangga Febri Kasih Reza Iman Pribadi Rudi Heriansyah Ryan Ramanda Putra Sari, Nursella Sartika, Dewi Shinta Puspasari Shinta Puspasari Suryati Suryati Suryati Suryati Terttiaavini, Terttiaavini Verano, Dwi Asa Wilza Nadia Wiyanto, Ari Zulkifli Zulkifli