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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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Prediksi Kualitas Susu Menggunakan Metode K-Nearest Neighbors Suhandi, Nazori; Gustriansyah, Rendra; Destria, Abel; Amalia, Marshanda; Kris, Via
SISFOTENIKA Vol. 14 No. 2 (2024): SISFOTENIKA
Publisher : STMIK PONTIANAK

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30700/sisfotenika.v14i2.430

Abstract

Milk is a nutrient-rich source abundant in calcium and lactose, playing a crucial role in addressing nutritional deficiencies. Milk quality is determined by pH levels and pasteurization processes. This research aims to predict milk quality using the K-Nearest Neighbors (K-NN) Method. The analysis is conducted through a series of steps, including data preprocessing involving categorical data encoding, handling missing values, and data cleansing. Subsequently, the optimal K value is selected using the elbow method, with a value of K=3. The data is then divided into training and testing sets to avoid overfitting and validate model performance, and the testing results of using K-NN to predict milk quality are evaluated using three different data splitting schemes: 80-20, 70-30, and 60-40. By utilizing Confusion Matrix to calculate precision, recall, and accuracy, we can assess the proportion of correctly classified positive cases, accurately identified. The best accuracy result is obtained from scheme one at 0,94, with a recall of 0.8, and precision reaching 1. This research provides a significant contribution to understanding, predicting, and monitoring milk quality, encompassing a profound understanding of factors influencing milk quality and the development of advanced predictive models. Overall, this study strengthens the scientific foundation for the dairy industry comprehensively.
The Housing Recommendation System Uses Multi-Criteria Decision-Making Methods Suhandi, Nazori; Gustriansyah, Rendra
Journal of Computer Networks, Architecture and High Performance Computing Vol. 5 No. 2 (2023): Article Research Volume 5 Issue 2, July 2023
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v5i2.2497

Abstract

Economic and population growth, increasing urbanization, changing habits, new welfare requirements, and lower interest rates have led to increased demand for housing in cities. However, housing conditions in many cities are slightly alarming, while housing is a primary need for the community. Selecting housing for low-income people (LIP) that meets the criteria required by LIP is not an easy task. Because most of the decisions people made did not utilize detailed information. Therefore, a recommendation system for LIP is required. This study aims to develop the housing selection recommendation system for LIP that best suits their wishes. This study integrated two multi-criteria decision-making (MCDM) methods: the Best Worst (BW) method, which has fewer pairwise comparisons compared to other MCDM methods for selecting criteria and the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method for determining housing recommendations for LIP according to their wishes. Based on the analysis results, ten criteria dominate the housing selection for LIP sequentially: Location, Land Size, Down Payment, Public Facilities, Price, Booking Fee, Home Design, House Specifications, House Quality, and Home Ownership Credit. Furthermore, the sensitivity analysis results showed that the robustness score of this approach was high. The model could recommend housing for LIP that best suits their wishes.
PENINGKATAN FASILITAS LAYANAN INFORMASI MUSEUM DR. AK. GANI LEWAT PERANCANGAN BROSUR INOVATIF PADA PAMERAN BERSAMA MUSEUM SE-SUMSEL Puspasari, Shinta; Gustriansyah, Rendra; Verano, Dwi Asa; Sanmorino, Ahmad
Reswara: Jurnal Pengabdian Kepada Masyarakat Vol 4, No 2 (2023)
Publisher : Universitas Dharmawangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46576/rjpkm.v4i2.3209

Abstract

Museum dr.AK.Gani memerlukan media promosi untuk menarik masyarakat berkunjung ke museum fisik yang menyimpan koleksi bersejarah peninggalan sang pahlawan nasional. Pada pameran bersama museum di Sumatera Selatan, museum dr.AK.Gani turut berpartisipasi dengan memamerkan sejumlah koleksi namun tidak cukup informatif dikarenakan terbatasnya ruang pamer dan petugas yang dapat mempromosikan keberadaan museum. Kegiatan pengabdian kepada masyarakat ini bertujuan merancang brosur inovatif yang memiliki luaran berupa media promosi dalam bentuk brosur yang dapat disebarluaskan kepada pengunjung pameran secara cepat. Brosur dirancang berbasis teknologi Google Map yang memudahkan pengunjung menuju lokasi museum dipandu oleh aplikasi Google Map. Informasi yang dimuat dalam brosur mendeskripsikan museum dan mengilustrasikan koleksi serta bangunan museum dr.AK.Gani sehingga diharapkan dapat menarik minat kunjungan wisata sejarah masyarakat. Hasil evaluasi kegiatan menunjukkan bahwa brosur yang dibuat mempu memberikan informasi yang menarik minat masyarakat berkunjung ke museum dr.AK.Gani. Rata-rata pengunjung setuju bahwa brosur yang dirancang efektif memberikan informasi tentang museum dr.AK.Gani dan meningkatkan minat untuk datang berwisata ke museum fisik. Mitra PkM menyatakan bahwa brosur inovatif sudah sesuai untuk kebutuhan fasilitas layanan informasi museum dr.AK.Gani. 
Penerapan Aplikasi Laboratorium Untuk Meningkatkan Kualitas Layanan Di Puskesmas Gandus Gustriansyah, Rendra; Puspasari, Shinta; Sanmorino, Ahmad; Suhandi, Nazori; Antony, Fery
Jurdimas (Jurnal Pengabdian Kepada Masyarakat) Royal Vol. 6 No. 3 (2023): Juli 2023
Publisher : STMIK Royal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33330/jurdimas.v6i3.2425

Abstract

Abstract: The Public Health Center (Puskesmas) is a driving center for health-oriented development, empowering societies and families, and first-level health service is responsible for improving the quality of its services by delivering relevant, fast, and targeted information to achieve its vision and mission. Especially during the Covid-19 pandemic some time ago, the role of the Puskesmas laboratory as the frontline of the first-level health service center in examining Covid-19 symptoms and carrying out vaccinations is essential. Therefore, this community service activity aims to implement a web-based laboratory application at the Gandus health center to assist laboratory staff in completing, collecting, processing, and presenting data in a more structured, easy-to-read, timely, and accurate manner. The stages of the activity include interviews, discussions, patient data collection and laboratory examinations, application installation, and socialization of its use. This activity can improve the quality of laboratory services and add value to the accreditation of the Puskesmas.Keywords: application; laboratory; Public Health Center; service  Abstrak: Puskesmas sebagai pusat penggerak pembangunan berwawasan kesehatan, pemberdayaan masyarakat, keluarga dan tempat pelayanan kesehatan tingkat pertama bertanggung jawab meningkatkan mutu layanannya melalui penyampaian informasi yang relevan, cepat dan tepat sasaran kepada pasien, dalam upaya mencapai visi dan misinya. Terutama di saat pandemi Covid-19 beberapa waktu yang lalu, maka peran laboratorium di puskesmas sebagai garda terdepan pusat layanan kesehatan tingkat pertama dalam pemeriksaan gejala Covid-19 dan pelaksanaan vaksinasi menjadi penting. Oleh karena itu, kegiatan pengabdian kepada masyarakat ini bertujuan untuk menerapkan aplikasi laboratorium berbasis web di puskesmas Gandus dalam upaya untuk membantu staf laboratorium dalam melengkapi, mengumpulkan, memproses, dan mempresentasikan data secara lebih terstruktur, mudah dipahami, akurat, dan tepat waktu. Tahapan kegiatan meliputi wawancara, diskusi, pengambilan data pasien dan pemeriksaan laboratorium, instalasi aplikasi, serta sosialisasi penggunaannya. Kegiatan ini dapat berkontribusi untuk meningkatkan kualitas layanan laboratorium dan menambah nilai akreditasi puskesmas.Kata kunci: aplikasi; laboratorium; layanan; puskesmas
Pelatihan Penggunaan Aplikasi Reservasi Kamar Hotel Untuk Meningkatkan Layanan Konsumen Suhandi, Nazori; Gustriansyah, Rendra
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
Pendampingan Implementasi E-Arsip Untuk Proyek Infrastruktur Tol Gustriansyah, Rendra; Suhandi, Nazori; Puspasari, Shinta; Sanmorino, Ahmad; Wiyanto, Ari
Jurdimas (Jurnal Pengabdian Kepada Masyarakat) Royal Vol. 8 No. 2 (2025): April 2025
Publisher : STMIK Royal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33330/jurdimas.v8i2.3605

Abstract

The conventional management of archives using physical files at the Jambi-Betung II Toll Road Land Procurement Commitment Making Officer (PPK-PPTJT) agency results in slow document retrieval, a higher risk of data loss, and limited accessibility to important information. This community service initiative aims to enhance the technological skills of human resources at PPK-PPTJT Jambi-Betung II, particularly in electronic archive management. The methods employed involve socialization and technical training on using e-archive applications for four PPK-PPTJT employees. Evaluation was conducted through questionnaires and interviews to assess the participants' improvement in understanding and skills. The results demonstrated a significant increase in participants' capabilities: 25% reported a better understanding of the benefits of e-archives, 75% enhanced their operational application skills, and 25% felt more confident in managing electronic archives. The implementation of e-archives has successfully reduced reliance on physical documents and expedited the toll road land procurement administration process, ultimately increasing the operational efficiency of PPK-PPTJT Jambi-Betung II.Keywords: e-archive; mentoring; land procurement; archive management  Abstrak: Pengelolaan arsip secara konvensional dengan menggunakan berkas fisik di instansi Pejabat Pembuat Komitmen Pelaksana Pengadaan Tanah Jalan Tol (PPK-PPTJT) Jambi-Betung II menyebabkan lambatnya pencarian dokumen, rentan kehilangan data, dan terbatasnya aksesibilitas terhadap informasi penting. Tujuan pengabdian ini adalah untuk meningkatkan kapasitas sumber daya manusia di PPK-PPTJT Jambi-Betung II dalam hal digitalisasi dan pengelolaan arsip elektronik. Metode yang digunakan meliputi sosialisasi, pelatihan teknis penggunaan aplikasi e-arsip bagi empat pegawai PPK-PPTJT. Evaluasi dilakukan dengan angket dan wawancara untuk mengukur peningkatan pemahaman dan keterampilan empat peserta. Hasil evaluasi menunjukkan peningkatan signifikan: 19% peserta lebih memahami manfaat e-arsip, 31% peningkatan kemampuan operasional aplikasi, dan 25% peningkatan kepercayaan diri dalam pengelolaan arsip elektronik. Penerapan e-arsip berhasil mengurangi ketergantungan pada arsip fisik, mempercepat proses administrasi pengadaan tanah jalan tol, efisiensi ruang penyimpan, dan kemudahan monitoring dan evaluasi proses operasional PPK-PPTJT Jambi-Betung II.Kata kunci: e-arsip; pendampingan; pengadaan tanah; pengelolaan arsip
Customer Segmentation For Digital Marketing Based on Shopping Patterns Alie, Juhaini; Gustriansyah, Rendra
Jurnal Aplikasi Bisnis dan Manajemen Vol. 10 No. 1 (2024): JABM, Vol. 10 No. 1, Januari 2024
Publisher : School of Business, Bogor Agricultural University (SB-IPB)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17358/jabm.10.1.209

Abstract

Customer segmentation is the customer grouping based on similar shopping behavior or patterns. Inappropriate customer segmentation can have negative impacts, such as lost marketing opportunities, resource inefficiencies, loss of potential customers, and decreased performance, and business profits, especially in customer satisfaction. Therefore, this study aims to develop a customer segmentation model for digital marketing. This model is based on customer shopping patterns using the Recency-Frequency-Monetary (RFM) model and the Partitioning Around Medoids (PAM) method. The research data is historical customer purchase data consisting of 18,535 transactions and 541,909 transaction details from 4,339 customers for 3,665 product items over two years. The research variables focus on the model used: recency, frequency, and monetary. The five customer segments generating from this study are main, potential, general, minimum, and prospective customer. The internal validation results show that the minimum C-Index value is 0.1429 (close to zero), and the maximum Calinski-Harabasz Index value is 512.9553. It shows that the quality of customer segmentation results is good. In other words, the model can identify correlations between customer segments and shopping patterns and preferences. In this way, marketers can optimize services, adjust strategies, and offer the right products for each customer segment. Further research can be directed at product segmentation. Keywords: partitioning around medoids, digital marketing, shopping pattern, recency-frequency-monetary, customer segmentation
Feature Extraction vs Fine-tuning for Cyber Intrusion Detection Model Sanmorino, Ahmad; Suryati, Suryati; Gustriansyah, Rendra; Puspasari, Shinta; Ariati, Nining
JURNAL INFOTEL Vol 16 No 2 (2024): May 2024
Publisher : LPPM INSTITUT TEKNOLOGI TELKOM PURWOKERTO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20895/infotel.v16i2.996

Abstract

This study investigates the effectiveness of feature extraction and fine-tuning approaches in developing robust cyber intrusion detection models using the Network-based Security Lab - KDD dataset (NSL-KDD). The role of cyber intrusion detection is pivotal in securing computer networks from unauthorized access and malicious activities. Feature extraction, involving methods such as PCA, LDA, and Autoencoders, aims to transform raw data into informative representations, while fine-tuning leverages pre-trained models for task-specific adaptation. The study follows a comprehensive research method encompassing data collection, preprocessing, model development, and experimental evaluation. Results indicate that LDA and Autoencoders excel in the feature extraction phase, demonstrating precision, high accuracy, F1-Score, and recall. However, fine-tuning a pre-trained Multilayer Perceptron model surpasses individual feature extraction methods, achieving superior performance across all metrics. The discussion emphasizes the complexity and flexibility of these approaches, with fine-tuned models showcasing higher adaptability. In conclusion, this study provides valuable insights into the comparative effectiveness of feature extraction and fine-tuning for cyber intrusion detection. The findings underscore the importance of leveraging pre-trained knowledge and adapting models to specific tasks, offering a foundation for further advancements in enhancing network security through advanced machine learning techniques.
Klasifikasi Sentimen Ulasan Aplikasi Gojek Berbasis Decision Tree Dengan Optimasi Grid Search Mufti, Nabilah; Apriano Putri, Aurahaqqi; Gustriansyah, Rendra
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.
Penerapan Metode Decision Tree Dalam Klasifikasi Status Gizi Balita MILLANO, FIDO; Kurniawan, Sandy; Gustriansyah, Rendra
Komputa : Jurnal Ilmiah Komputer dan Informatika Vol 14 No 2 (2025): Komputa : Jurnal Ilmiah Komputer dan Informatika
Publisher : Program Studi Teknik Informatika - Universitas Komputer Indonesia (UNIKOM)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34010/komputa.v14i2.16468

Abstract

Early childhood represents a crucial stage in human growth and development, making nutritional monitoring essential to prevent long-term health issues such as stunting. This research focuses on developing a nutritional status classification model for toddlers by applying the Decision Tree algorithm with four categories: severely stunted, stunted, normal, and tall. The dataset, obtained from Kaggle, contains 121,000 records and includes attributes such as age, gender, and height. The study was carried out through several phases, starting with data preprocessing to handle missing values, detect outliers, and balance class distribution, followed by model training in R-Studio, and performance evaluation using accuracy, precision, recall, and F1-score. The experimental results demonstrate that the model achieved an accuracy of 89.75%, precision of 89.74%, recall of 89.83%, and an F1-score of 89.78%. The novelty of this study lies in implementing a multi-class classification approach on a large and representative dataset, integrating oversampling and parameter optimization techniques to improve predictive performance, and conducting feature importance analysis that highlights the significant influence of height and age in determining nutritional status. Therefore, this work not only provides a reliable classification model but also contributes practical insights for developing early detection systems to support stunting prevention among toddlers.
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