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All Journal Jurnal Informatika JURNAL SISTEM INFORMASI BISNIS TELKOMNIKA (Telecommunication Computing Electronics and Control) JUITA : Jurnal Informatika Jurnal Aplikasi Bisnis dan Manajemen (JABM) E-Journal Jurnal Teknologi dan Sistem Komputer Indonesian Journal of Information System JITK (Jurnal Ilmu Pengetahuan dan Komputer) JMM (Jurnal Masyarakat Mandiri) SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan ILKOM Jurnal Ilmiah MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer Jurdimas (Jurnal Pengabdian Kepada Masyarakat) Royal 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 INFOTEL SISFOTENIKA
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 Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Medicine & Pharmacology Nursing Public Health Social Sciences Other

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PENINGKATAN PENGETAHUAN MASYARAKAT LEWAT PEMANFAATAN APLIKASI VIRTUAL TOUR 360 MUSEUM SMBII DI MASA PANDEMI Puspasari, Shinta; Dhamayanti, Dhamayanti; Gustriansyah, Rendra; Verano, Dwi Asa; Sanmorino, Ahmad
Reswara: Jurnal Pengabdian Kepada Masyarakat Vol 4, No 1 (2023)
Publisher : Universitas Dharmawangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46576/rjpkm.v4i1.2493

Abstract

Museum SMBII memiliki fungsi menyimpan, memelihara, memamerkan koleksi benda bersejarah dan budaya Palembang untuk tujuan rekreasi maupun edukasi yang dimanfaatkan seluas-luasnya bagi masyarakat khususnya kota Palembang. Namun, saat pandemi COVID-19 melanda dunia, kebijakan pemerintah daerah Palembang menetapkan museum SMBII untuk menerapkan kebijakan yang disesuaikan dengan situasi pandemi. Museum terpaksa tutup dan membatasi akses bagi aktivitas fisik di museum.  Pengelola museum SMBII telah menyediakan aplikasi untuk memudahkan masyarakat mengakses museum secara virtual. Untuk lebih memperkenalkan aplikasi tersebut, kegiatan pengenalan pemanfaatan aplikasi virtual tour 360 museum SMBII dilaksanakan dengan peserta pelajar atau mahasiswa yang merupakan kategori pengunjung dominan dari museum SMBII Palembang sebelum pandemi. Peserta dikenalkan fungsionalitas dan cara pemanfaatan tiap fitur aplikasi. Peserta diminta menggunakan aplikasi dan mengisi kuesioner evaluasi tingkat penerimaan peserta terhadap aplikasi. Hasil kuesioner menunjukkan bahwa pengetahuan peserta rata-rata meningkat dan aplikasi virtual tour 360 mudah digunakan serta meningkatkan minat peserta untuk jelajah wisata budaya Palembang
Single Exponential Smoothing Method to Predict Sales Multiple Products Gustriansyah, Rendra
International Series on Interdisciplinary Science and Technology Vol. 3 No. 2 (2018)
Publisher : Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/ins.v3i2.176

Abstract

—Activity to predict sales multiple products intended for control of the number of existing stock, so the lack or excess stock can be minimized. When the number of sales can be accurately predicted, then the fulfilment of consumer demand can be cultivated in a timely and cooperation with suppliers maintained properly so that company can avoid losing sales and customers. This study aims to predict sales multiple products (6,877 products) using Single Exponential Smoothing (SES) approach, which is expected to improve the efficiency of the inventory system. Measurement accuracy of prediction in this study using a standard measurement Mean Absolute Percentage Error (MAPE), which is the most important criteria in analyzing the accuracy of the prediction. The results showed that the average of percentage prediction error of products using SES is high, because MAPE value obtained is 1.056% with a smoothing parameter α = 0.9
Penyuluhan aman dalam berbisnis pada usaha kue dan snack di Keluruahan Talang Jambe Palembang Sanmorino, Ahmad; Gustriansyah, Rendra; Puspasari, Shinta
SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan Vol 9, No 4 (2025): Juli
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/jpmb.v9i4.31489

Abstract

AbstrakMaraknya penipuan digital melalui WhatsApp dan media sosial menjadi ancaman serius bagi pelaku usaha kue dan snack rumahan di Kelurahan Talang Jambe, Palembang. Kegiatan Pengabdian kepada Masyarakat (PkM) ini bertujuan meningkatkan literasi digital pelaku usaha dalam mengidentifikasi dan mencegah modus penipuan daring. Metode yang digunakan meliputi presentasi materi dan diskusi interaktif, dengan pendekatan berbasis teori Digital Literacy dan Technology Acceptance Model (TAM). Kegiatan ini dilaksanakan pada Mei 2025 dengan melibatkan pelaku UMKM lokal. Hasil evaluasi menunjukkan peningkatan pemahaman peserta terhadap berbagai jenis penipuan, dari rata-rata 65% sebelum kegiatan menjadi 90,8% setelahnya. Diskusi juga mengungkap pengalaman peserta yang sebelumnya nyaris menjadi korban penipuan. Temuan ini menunjukkan bahwa pendekatan edukatif langsung efektif meningkatkan kesadaran dan kesiapsiagaan digital pelaku usaha. Diharapkan kegiatan ini dapat direplikasi untuk memperkuat keamanan digital UMKM secara lebih luas. Kata kunci: keamanan digital; usaha kue dan snack; penipuan online; pengabdian kepada masyarakat. AbstractThe rise of digital fraud through WhatsApp and social media poses a serious threat to home-based cake and snack businesses in Talang Jambe, Palembang. This Community Service (PkM) initiative aimed to enhance digital literacy among business owners by equipping them with practical knowledge to identify and prevent common online scams. The program employed presentations and interactive discussions, guided by the frameworks of Digital Literacy and the Technology Acceptance Model (TAM). Conducted in May 2025, the activity engaged local micro-entrepreneurs who actively use digital platforms for marketing. Evaluation results showed a significant increase in participants’ understanding of various types of fraud—from an average of 65% before the program to 90.8% afterward. Discussions revealed that several participants had previously been close to falling victim to such scams. These findings highlight the effectiveness of direct educational approaches in strengthening cybersecurity awareness. The program is expected to serve as a model for similar efforts aimed at improving the digital resilience of MSMEs. Keywords: digital security; cake and snack business; online fraud; community service.
Marketing Strategy Using Frequent Pattern Growth Suhandi, Nazori; Gustriansyah, Rendra
Journal of Computer Networks, Architecture and High Performance Computing Vol. 3 No. 2 (2021): Journal of Computer Networks, Architecture and High Performance Computing, July
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v3i2.1039

Abstract

The biggest problem faced by printing companies during the Covid-19 pandemic was that the number of orders was unstable and tends to decrease, which had the potential to harm the company. Therefore, various appropriate marketing strategies were needed so that the number of product orders was relatively stable and even increases. The impact was that the company could survive and continued to grow. This study aimed to assist company managers in developing appropriate marketing strategies based on association rules generated from one of the data mining methods, namely the Frequent Pattern Growth (FP-Growth) method. The case study of this research was a printing company where there was no similar research that used a printing company's dataset. This study produced nine association rules that meet a minimum of 25% support and a minimum of 60% confidence, but only two association rules that had a high positive correlation, namely for a custom paper bag and banner products. Therefore, several marketing strategies were suggested that could be used as guidelines for companies in managing sales packages and giving special discounts on a product. The results of this study are expected to trigger an increase in the number of product orders because this study tried to find the right product for consumers and did not try to find the right consumers for a product.
Metode Pembelajaran Mesin untuk Memprediksi Status Gizi Balita Gustriansyah, Rendra; Suhandi, Nazori; Puspasari, Shinta; Sanmorino, Ahmad
JURNAL INFOTEL Vol 16 No 1 (2024): February 2024
Publisher : LPPM INSTITUT TEKNOLOGI TELKOM PURWOKERTO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20895/infotel.v15i4.988

Abstract

Malnutrition is one of the leading health problems experienced by toddlers in various countries. Based on the 2022 Indonesian Nutritional Status Survey results, malnutrition in children under five in Indonesia is higher than the average malnutrition in Africa and globally. Therefore, a way is needed to predict the nutritional status of children under five early and quickly so that the Government (through District Health Office) can immediately provide the necessary treatment. This study aims to predict or classify the toddlers' nutritional status based on age, body mass index (BMI), weight, and body length using various machine learning (ML) methods, namely naïve Bayes, linear discriminant analysis, decision tree, k-nearest neighbor, random forest, and support vector machine. The predictive performance of each ML method was evaluated based on accuracy, sensitivity, specificity, the area under curve, and Cohen's Kappa coefficient. The test results show that the RF method is the most recommended for predicting toddlers' nutritional status. The study's contribution is to obtain information about toddlers' nutritional status easier.
Sosialisasi Augmented Reality Koleksi Kain Tradisional Museum Songket Palembang Puspasari, Shinta; Gustriansyah, Rendra; Sanmorino, Ahmad; Purbasari, Nadira Putri; Farhan, Muhammad
Jurnal Abdimas Mandiri Vol. 9 No. 2
Publisher : UNIVERSITAS INDO GLOBAL MANDIRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36982/jam.v9i2.5804

Abstract

Museum Songket di Palembang merupakan institusi budaya yang memiliki peran penting dalam pelestarian kain tradisional khas Sumatera Selatan, khususnya kain Songket yang kaya nilai sejarah dan estetika. Namun, metode penyampaian informasi koleksi yang masih bersifat konvensional sering kali kurang menarik bagi pengunjung, terutama generasi muda. Kegiatan Pengabdian kepada Masyarakat ini bertujuan untuk mensosialisasikan pemanfaatan teknologi Augmented Reality (AR) sebagai media interaktif dalam memperkenalkan motif-motif Songket koleksi Museum Songket Zainal dan Museum Sultan Mahmud Badaruddin II Palembang. Aplikasi AR yang dikembangkan menampilkan visualisasi motif kain berbasis marker, dilengkapi dengan deskripsi dan fitur kuis untuk mengukur pemahaman pengguna. Sosialisasi dilakukan secara langsung kepada pengunjung museum dan secara daring kepada masyarakat umum. Hasil evaluasi menggunakan instrumen System Usability Scale (SUS) menunjukkan skor rata-rata sebesar 71 dari 30 responden, yang mengindikasikan tingkat usabilitas aplikasi yang baik. Penggunaan teknologi AR terbukti mampu meningkatkan pemahaman dan minat pengunjung terhadap warisan budaya kain tradisional khusunya songket, sekaligus menjadi solusi pelestarian koleksi yang sudah rapuh tanpa kontak fisik langsung. Kegiatan ini mendorong pengelola museum untuk mempertimbangkan adopsi teknologi digital sebagai bagian dari strategi edukasi dan pelestarian budaya yang lebih adaptif di era digital. 
Co-Authors Abel Destria Ade Fathurahman Adhe Suryani Agung Prakesakwa Ahmad Sanmorino Ahmad Sanmorino Aminuyati Andri Agus Agus S Arief Ramadhan Cahyani, Septa Dana Indra Sensuse Darius Antoni Destria, Abel Dewi Sartika DEWI SARTIKA Dhamayanti Dhamayanti Dhamayanti, Dhamayanti Ditho Hersilava Dwi Asa Verano Ermatita - Febrianty Fery Antony Fery Antony Filian Falanda Hartini Hartini Hartini Hartini Hastha Sunardi Haversyalapa, Ditho Isabella, Isabella Juhaini Alie M. Ricky Hikmawan Marshanda Amalia Megat Norulazmi Megat Mohamed Noor Mitha Sofiana Muhammad Farhan Nazori Suhandi Nazori Suhandi Nazori Suhandi Nining Ariati Pratama, M Duta Purbasari, Nadira Putri Purnamasari, Evi Reza Iman Pribadi Rudi Heriansyah Ryan Ramanda Putra Sari, Nursella Sartika, Dewi Shinta Puspasari Shinta Puspasari Shinta Puspasari Suryati Suryati Suryati Suryati Terttiaavini, Terttiaavini Verano, Dwi Asa Via Kris Wilza Nadia Wiyanto, Ari Zulkifli Zulkifli