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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 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 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 INFOTEL SISFOTENIKA

Rendra Gustriansyah

Universitas Indo Global Mandiri, Indonesia

Author-ID : 271510

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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Machine Learning for Clustering Regencies-Cities Based on Inflation and Poverty Rates in Indonesia Rendra Gustriansyah; Juhaini Alie; Ahmad Sanmorino; Rudi Heriansyah; Megat Norulazmi Megat Mohamed Noor
Indonesian Journal of Information Systems Vol. 5 No. 1 (2022): August 2022
Publisher : Program Studi Sistem Informasi Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24002/ijis.v5i1.5682

The COVID-19 pandemic has increased inflation and poverty rates in many cities, thus requiring considerable attention from the government as a policymaker. Therefore, this study aims to cluster regencies/cities that need mitigation priorities from the Indonesian government based on inflation and poverty rates in 2021. Four machine learning methods, namely k-Means (KM), Partitioning around medoids (PAM), Ward, and Divisive analysis (Diana) are utilized and compared to achieve that purpose. Clustering 90 regencies/cities in Indonesia produced five optimal clusters. Furthermore, the clustering results were validated using the Silhouette width (SW) and Dunn index (DI). The results showed that the k-means method produced the most compact cluster. Hence, this study's results can be utilized as a reference for the government in determining the steps and priorities of economic policy in Indonesia.

Hierarchical clustering for crime rate mapping in Indonesia Rendra Gustriansyah; Juhaini Alie; Nazori Suhandi
ILKOM Jurnal Ilmiah Vol 14, No 3 (2022)
Publisher : Prodi Teknik Informatika FIK Universitas Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33096/ilkom.v14i3.1135.275-283

The Sustainable Development Goals (SDGs) are a blueprint for improving the human life quality. Goal 16 (G16) is related to security, and it is in line with the Universal Declaration of Human Rights and the Preamble to the 1945 Constitution. To support the implementation of the G16 achievement, the Indonesian National Police (Polri) has made serious efforts to provide a sense of safety for the community and to minimize crime rates. One of the efforts that could be made is to map areas based on the level of crimes so that the Polri can determine the appropriate strategy/priority of action for mitigation. Therefore, this study aimed to cluster provinces in Indonesia based on the four G16 indicators of the SDGs related to security, namely the number of homicide cases, the victim proportion, the proportion of people who feel safe walking alone in the area where they live, and the proportion of victims of violence that reported to the police in the past year using five hierarchical clustering methods, namely: Single-Linkage, Average-Linkage, Complete-Linkage, Ward, and Division Analysis. Then, methods were validated and compared using six cluster validations to obtain the most compact method. The results showed that Ward's method outperformed the others and produced three clusters. Clusters 1, 2, and 3 contained 18, 5, and 11 provinces respectively.

DDoS Attacks Detection Method Using Feature Importance and Support Vector Machine Ahmad Sanmorino; Rendra Gustriansyah; Juhaini Alie
JUITA : Jurnal Informatika JUITA Vol. 10 No. 2, November 2022
Publisher : Department of Informatics Engineering, Universitas Muhammadiyah Purwokerto

In this study, the author wants to prove the combination of feature importance and support vector machine relevant to detecting distributed denial-of-service attacks. A distributed denial-of-service attack is a very dangerous type of attack because it causes enormous losses to the victim server. The study begins with determining network traffic features, followed by collecting datasets. The author uses 1000 randomly selected network traffic datasets for the purposes of feature selection and modeling. In the next stage, feature importance is used to select relevant features as modeling inputs based on support vector machine algorithms. The modeling results were evaluated using a confusion matrix table. Based on the evaluation using the confusion matrix, the score for the recall is 93 percent, precision is 95 percent, and accuracy is 92 percent. The author also compares the proposed method to several other methods. The comparison results show the performance of the proposed method is at a fairly good level in detecting distributed denial-of-service attacks. We realized this result was influenced by many factors, so further studies are needed in the future.

PENINGKATAN PENGETAHUAN MASYARAKAT LEWAT PEMANFAATAN APLIKASI VIRTUAL TOUR 360 MUSEUM SMBII DI MASA PANDEMI Shinta Puspasari; Dhamayanti Dhamayanti; Rendra Gustriansyah; Dwi Asa Verano; Ahmad Sanmorino
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

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.Â 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

Perbaikan Manajemen Usaha dan Promosi Wisata Kuliner Pindang dalam Rangka Meningkatkan Omset Usaha Warung Terapung di Dermaga Sungai Musi Palembang Darius Antoni; Febrianty; Rendra Gustriansyah
I-Com: Indonesian Community Journal Vol 3 No 1 (2023): I-Com: Indonesian Community Journal (Maret 2023)
Publisher : Fakultas Sains Dan Teknologi, Universitas Raden Rahmat Malang

Warung terapung yang berada di pinggiran dekat Dermaga BKB Sungai Musi tepatnya di bawah Jembatan Ampera merupakan Ikon Palembang. Mitra PKM adalah Warung Terapung MBOK SRI yang menjual aneka pindang yang merupakan kuliner khas Palembang. Lokasi Mitra (13 menit atau 5,1 Km ditempuh dengan kendaraan roda empat dari Kampus Universitas Indo Global Mandiri. Permasalahan yang dihadapi mitra, yakni Mitra tidak mempunyai pengetahuan dan keterampilan manajemen usaha, usaha saat ini masih dikelola secara tradisional. Ditambah lagi saat Pandemi Covid-19 omset usaha dalam sebulan drastis menurun sehingga hanya 25% - 35% saja, Mitra belum memiliki teknologi pemasaran baik untuk layanan ke para pengunjung/konsumen maupun untuk promosi aneka kuliner khususnya pindang khas Palembang yang tersedia di Warung MBOK SRI, Mitra belum memiliki kemampuan dan pengetahuan mengenai teknik layanan prima yang dapat mendukung peningkatan omset dan daya saing usaha. Rencana kegiatan terdiri dari tahapan-tahapan solusi atas persoalan mitra yakni Tahap I Analisis Situasi dan Kondisi Mitra, Tahap II Persiapan dan Trasfer Teknologi Tepat Guna (TTG), Tahap III Pelatihan dan Pendampingan serta Tahap IV Evaluasi program. Adapun TTG yang diimplementasikan yakni: website usaha, e-catalog Wisata Kuliner Warung Terapung MBOK SRI berbasis android, dan desain Warung Terapung agar mendukung “Wisata Kuliner Pindang Kahs Palembang di pinggir Sungai Musi”. e-catalog dan website menyajikan daftar menu makanan dan minuman yang tersedia, catatan pesanan, total harga, dan informasinya update setiap harinya. Indikator keberhasilan kegiatan PKM pada mitra, yakni peningkatan pada omset mitra minimal sebesar ±55% per bulannya, mitra secara kontinu menggunakan TTG yang ditrasfer dan mampu memanfaatkannya secara optimal minimal 70%, dan mitra menerapkan manajemen usaha dan teknik layanan prima yang telah didapatkan dari pelatihan dan pendampingan tim pelaksana PKM minimal 80%, d. luaran wajib dan luaran tambahan tersedia

Pemanfaatan Teknologi Komputer untuk Pembelajaran Ilustrasi Digital pada Siswa Raudhatul Athfal Ma’had di Kota Palembang Ahmad Sanmorino; Rendra Gustriansyah; Shinta Puspasari
Lumbung Inovasi: Jurnal Pengabdian kepada Masyarakat Vol. 8 No. 1 (2023): Maret
Publisher : Lembaga Penelitian dan Pemberdayaan Masyarakat (LITPAM)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36312/linov.v8i1.1119

Salah satu pemanfaatan teknologi komputer di era modern saat ini adalah untuk pembelajaran ilustrasi digital. Melalui kegiatan Pelayanan kepada Masyarakat (PkM) ini penulis ingin berbagi pengetahuan mengenai pemanfaatan teknologi komputer sebagai media pembelajaran ilustrasi digital untuk siswa-siswa Raudhatul Athfal pada Ma’had di Kelurahan Talang Jambe, Kota Palembang. Tujuan yang ingin dicapai dari kegiatan PkM ini adalah menumbuhkan minat siswa Raudhatul Athfal untuk mencoba teknologi berbasis komputer sebagai media pembuatan ilustrasi digital. Metode pelaksanaan kegiatan PkM ini terdiri dari dua tahap, pertama, pemaparan cara pembuatan ilustrasi digital kepada para siswa. Kedua, membimbing para siswa untuk mencoba langsung pembuatan ilustrasi digital menggunakan perangkat komputer yang telah disediakan tim PkM. Hasil dari kegiatan PkM ini memperlihatkan besarnya minat para siswa yang tertarik untuk membuat ilustrasi digital yaitu sebesar 75 persen. Adapun persentase jumlah siswa yang ingin mencoba langsung adalah sebesar 75 persen. Sedangkan jumlah siswa yang tidak tahu atau tidak memberi tanggapan hanya sebesar 25 persen. Berdasarkan feedback hasil kegiatan PkM ini dapat dilihat secara keseluruan siswa Raudhatul Athfal memiliki ketertarikan yang besar untuk mencoba dan menggunakan teknologi berbasis komputer sebagai media pembuatan ilustrasi digital. Utilization of Computer Technology for Digital Illustration Learning for Raudhatul Athfal Students in Palembang City One of the uses of computer technology in the modern era is for learning digital illustrations. Through this Community Service (PkM) activity, the author wants to share knowledge about the use of computer technology as a digital illustration learning medium for Raudhatul Athfal students at Ma'had in Talang Jambe Village, Palembang City. The goal to be achieved of this PkM activity is to foster the interest of Raudhatul Athfal students to try computer-based technology as a medium for making digital illustrations. The method for implementing this PkM activity consists of two stages, first, explaining how to make digital illustrations to students, second, guiding students to try directly making digital illustrations using computer apps that have been provided by the PkM team. The results of this PkM activity show the high interest of students who are interested in making digital illustrations, namely 75 percent. The percentage of students who want to try directly is 75 percent. Meanwhile, the number of students who did not know or did not respond was only 25 percent. Based on the feedback on the results of this PkM activity, it shows that as a whole Raudhatul Athfal's students have a great interest in trying and using computer-based technology as a medium for making digital illustrations.

Penerapan Aplikasi Laboratorium Untuk Meningkatkan Kualitas Layanan Di Puskesmas Gandus Rendra Gustriansyah; Shinta Puspasari; Ahmad Sanmorino; Nazori Suhandi; Fery Antony
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: 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

PENINGKATAN FASILITAS LAYANAN INFORMASI MUSEUM DR. AK. GANI LEWAT PERANCANGAN BROSUR INOVATIF PADA PAMERAN BERSAMA MUSEUM SE-SUMSEL Shinta Puspasari; Rendra Gustriansyah; Dwi Asa Verano; Ahmad Sanmorino
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

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.Â

Forecasting a museum visit post pandemic using exponential smoothing model Shinta Puspasari; Rendra Gustriansyah; Ahmad Sanmorino
JURNAL INFOTEL Vol 15 No 4 (2023): November 2023
Publisher : LPPM INSTITUT TEKNOLOGI TELKOM PURWOKERTO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20895/infotel.v15i4.949

This paper aims to evaluate the performance of a machine learning model for predicting the number of visitors to a museum after the COVID-19 pandemic. The easing of policies that began to be implemented by the Palembang city government after the end of the pandemic at the end of 2022 became a momentum in predicting the number of visits to the SMBII museum. During the pandemic the museum experienced a very drastic decline due to closures and restrictions on activities at the museum and had an impact on achieving the museum's targets in the fields of tourism and education. Museum managers need to establish a strategy as an effort to achieve the targets set during the post-pandemic period. This study predicts the number of visits to the SMBII museum in post-pandemic years by applying the double exponential smoothing (ESM) model. The dataset used is SMBII museum visit data which is divided into three categories of visitors, namely students, local and foreign. The evaluation results show that the double ESM model has the best performance with MSE = 3.8 and a = 0.9. The phenomena that occurred in the student visitor category affected ESM's performance in predicting visits where MSE in the post-pandemic period had a 200% higher value than before the pandemic which was influenced by the implementation of post-pandemic policies in museums. With the forecasting results in this study, it is hoped that it can become information in developing strategies and improving the performance of post-pandemic museums

The Housing Recommendation System Uses Multi-Criteria Decision-Making Methods Nazori Suhandi; Rendra Gustriansyah
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

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.

Co-Authors Ade Fathurahman Adhe Suryani Agung Prakesakwa Ahmad Sanmorino Ahmad Sanmorino 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 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 M. Ricky Hikmawan Megat Norulazmi Megat Mohamed Noor MILLANO, FIDO Mitha Sofiana Mufti, Nabilah Muhammad Farhan Nadia Damayanti Nazori Suhandi Nazori Suhandi 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 Wilza Nadia Wiyanto, Ari Zulkifli Zulkifli

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