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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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PEMBANGUNAN M-BEKAM BERBASIS SISTEM PAKAR Rendra Gustriansyah; Hastha Sunardi; Nazori Suhandi
Jurnal Informatika Global Vol 5, No 1
Publisher : UNIVERSITAS INDO GLOBAL MANDIRI

Cupping is a detoxification therapy or methods of treatment by removing oxidants from the body through certain points on the surface of the epidermis. Currently, in Western countries (Europe and America) conducted scientific research seriously and continuously to reveal the scientific facts, how the magic of cupping to cure various diseases more safely and effectively than the methods of modern medicine. This is the consideration for making an expert system cupping method. This expert system uses backward chaining method to determine the points of cupping treatment which is implemented on a mobile device based on Android, so this application has the potential to be accessed anytime and anywhere by experts bruise or community. The use of expert systems on cupping method is expected to solve the problem of health according to the knowledge base that are known by experts bruise and also in accordance with the Sunnah of the Prophet Muhammad SAW.

Komparasi Metode Peramalan Jumlah Permintaan Kamar Hotel Rendra Gustriansyah; Wilza Nadia; Mitha Sofiana
Jurnal Informatika Global Vol 9, No 2
Publisher : UNIVERSITAS INDO GLOBAL MANDIRI

AbstractHotel is a type of accommodation that uses most or all of the buildings to provide lodging, dining and drinking services, and other services for the public, which are managed commercially so that each hotel will strive to optimize its functions in order to obtain maximum profits. One such effort is to have the ability to forecast the number of requests for hotel rooms in the coming period. Therefore, this study aims to forecast the number of requests for hotel rooms in the future by using five forecasting methods, namely linear regression, single moving average, double moving average, single exponential smoothing, and double exponential smoothing, as well as to compare forecasting results with these five methods so that the best forecasting method is obtained. The data used in this study is data on the number of requests for standard type rooms from January to November in 2018, which were obtained from the Bestskip hotel in Palembang. The results showed that the single exponential smoothing method was the best forecasting method for data patterns as in this study because it produced the smallest MAPE value of 41.2%.Keywords: forecasting, linier regression, moving average, exponential smoothing.AbstrakHotel merupakan jenis akomodasi yang mempergunakan sebagian besar atau seluruh bangunan untuk menyediakan jasa penginapan, makan dan minum serta jasa lainnya bagi umum, yang dikelola secara komersial, sehingga setiap hotel akan berupaya untuk mengoptimalkan fungsinya agar memperoleh keuntungan maksimum. Salah satu upaya tersebut adalah memiliki kemampuan untuk meramalkan jumlah permintaan terhadap kamar hotel pada periode mendatang. Oleh karena itu, penelitian ini bertujuan untuk meramalkan jumlah permintaan terhadap kamar hotel di masa mendatang dengan menggunakan lima metode peramalan, yaitu regresi linier, single moving average, double moving average, single exponential smoothing, dan double exponential smoothing, serta untuk mengetahui perbandingan hasil peramalan dengan kelima metode tersebut sehingga diperoleh metode peramalan terbaik. Adapun data yang digunakan dalam penelitian ini merupakan data jumlah permintaan kamar tipe standar dari bulan Januari hingga November tahun 2018, yang diperoleh dari hotel Bestskip Palembang. Hasil penelitian menunjukkan bahwa metode single exponential smoothing merupakan metode peramalan terbaik untuk pola data seperti pada penelitian ini karena menghasilkan nilai MAPE paling kecil sebesar 41.2%.Kata kunci: peramalan, regeresi linier, moving average, exponential smoothing.

PENENTUAN OBJEK WISATA, OBJEK KULINER SERTA AKOMODASI DISEKITAR PENGGUNA DIKOTA PALEMBANG DENGAN MENGGUNAKAN ALGORITMA EUCLIDEAN DISTANCE Filian Falanda; Rendra Gustriansyah; Hartini Hartini
Jurnal Informatika Global Vol 7, No 2
Publisher : UNIVERSITAS INDO GLOBAL MANDIRI

Palembang is the capital of South Sumatera province, Which has been well known of the great kingdom of sriwijaya. therefore this places been one of destination people tourism which full of the historical and culture heritage. In generally tourism has definition as a journey in which short stay are made at a number of places, and traveler finally return to his or her own place.A Tourism is supported by some elements such as accommodation, food objects and tourism objects. While many tourism object hard to get to access a lot of information about tourism that make the tourists confused to find because of the lack of information for traveling, therefor to overcome these problems the writer made an application to the tourism city of Palembang-based android that can help determine the existing tourist destinations around the users in town by using Euclidean Distance algorithm.The application is accessed through the support of mobile Google Map and Google API using GPS (Global Positioning System) which was built on the Android platform. In the system of the author will be built using the model Prototype. This method is the one of development of the system where the results of the analysis division applied directly into a model without having to wait for the completion of the entire system is analyzed. As well as the role of distance euclidean algorithm which can be used to calculate the distance between the object and the tourism and compare the results of the calculations of some object, so it can provide recommendations about the objects.Keywords: Algoritm, Android, EuclideanDistance,Tourism

KENDALI PERALATAN LISTRIK DENGAN SMS MENGGUNAKAN ARDUINO DAN GPRS SHIELD Andri Agus Agus S; Zulkifli Zulkifli; Rendra Gustriansyah
Jurnal Informatika Global Vol 6, No 2
Publisher : UNIVERSITAS INDO GLOBAL MANDIRI

In the current era, the technology continues to evolve to facilitate human work, solve problems more quickly and accurately, the technology also can be used as the setting and control, whether using wired, wireless to the remote control. Setting or control would be better if done quickly, accurately and can be controlled remotely, especially the existing equipment at home when left by their owners. To simplify the control of the made design simulation controls that can control household electric appliances. In utilizing the communication medium is now able to reach almost all parts of Indonesia, by utilizing GPRS (General Packet Radio Service) provided by the mobile network operator, then made a design that can control the electrical equipment remotely using SMS (Short Message Service ) to facilitate the work, avoid direct contact dangerous if applied to equipment that is dangerous, saving human resources, time, cost and energy.

SISTEM PENDUKUNG KEPUTUSAN PEMBERIAN BEASISWA DI POLITEKNIK NEGERI SRIWIJAYA MENGGUNAKAN METODE FUZZY LOGIC TSUKAMOTO Suryati Suryati; M. Ricky Hikmawan; Rendra Gustriansyah
Jurnal Informatika Global Vol 7, No 1
Publisher : UNIVERSITAS INDO GLOBAL MANDIRI

Sriwijaya State Polytechnic Joint Government and Private Parties have had the scholarship program to students who beprestasi and can not afford. Therefore scholarship should be awarded to eligible recipients and deserve to get it. However, in the selection of the scholarship will certainly experience difficulties because of the large number of scholarship applicants and the criteria used to determine the grantee's decision as expected and acceptance of the scholarship has a maximum limit of quotas. It required a study that aims to take into account all criteria decision support to help accelerate and simplify the decision making process. In the selection of the scholarship recipients to take a little longer and less efficient. Besides it takes a long time in the electoral process and the establishment of scholarships also there are opportunities to make the wrong decisions because the process is subjectivity. Therefore made a decision support system that can perform calculations on all the criteria for the selection of scholarship recipients at State Polytechnic of Sriwijaya. The method used in the decision making is the scholarship selection Tsukamoto fuzzy logic method, this method selected because it is able to select the best alternative from a number of alternatives, in this case the alternative meant that students are eligible to receive scholarships based on certain criteria.Keywords: DSS, Fuzzy Logic, Tsukamoto, Scholarships

PENILAIAN INDEK E-GOVERMENT PADA DINKES KOTA PALEMBANG Fery Antony; Rendra Gustriansyah; Ryan Ramanda Putra
Jurnal Informatika Global Vol 6, No 1
Publisher : UNIVERSITAS INDO GLOBAL MANDIRI

Ranking of e-Government of Indonesia (PEGI) is a model developed by the Directorate of e-Government, the Directorate General of Telematics Applications, Ministry of Communication and Information Technology (Ministry KOMINFO) to view a map of the condition of usage of Information Technology dam Communication Technologies (ICT) by government agencies nationwide , In this paper, the authors have assessed the use of ICT in the health office (DHO) of the city of Palembang as a government agency in order to facilitate the flow of information and improve the quality of service to the community by using a model approach PEGI. Palembang city health office has e-government index amounted to 1,426, which means the use of ICT in dinkes indkator Palembang city already exists, but is still lacking in terms of quantity and quality. Recommendations are given to dinkes Palembang to increase the index of e-governement it was the preparation of the Master Plan for Information Technology (RITI), preparation of the scale of the policy priorities of ICT implementation, increasing the number of staff in the section on data and health information with a background in IT, the addition of human resources development program with sending employees on section data and health information for training or education in the field of IT and Disaster Recovery planning.

Deteksi Serangan Denial of Service pada Internet of Things Menggunakan Finite-State Automata Fery Antony; Rendra Gustriansyah
MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer Vol 21 No 1 (2021)
Publisher : LPPM Universitas Bumigora

Internet of things memiliki kemampuan untuk menghubungkan obyek pintar dan memungkinkan mereka untuk berinteraksi dengan lingkungan dan peralatan komputasi cerdas lainnya melalui jaringan internet. Namun belakangan ini, keamanan jaringan internet of things mendapat ancaman akibat serangan cyber yang dapat menembus perangkat internet of things target dengan menggunakan berbagai serangan denial of service. Penelitian ini bertujuan untuk mendeteksi dan mencegah serangan denial of service berupa synchronize flooding dan ping flooding pada jaringan internet of things dengan pendekatan finite-state automata. Hasil pengujian menunjukkan bahwa pendekatan finite-state automata berhasil mendeteksi serangan synchronize flooding dan ping flooding pada jaringan internet of things, tetapi pencegahan serangan tidak secara signifikan mengurangi penggunaan prosesor dan memori. Serangan synchronize flooding menyebabkan delay saat mengaktifkan/menonaktifkan peralatan internet of things sedangkan serangan ping flooding menyebabkan error. Implementasi bash-iptables berhasil mengurangi serangan synchronize flooding dengan efisiensi waktu pencegahan sebesar 55,37% dan mengurangi serangan ping flooding sebesar 60% tetapi dengan waktu yang tidak signifikan.

Marketing Strategy Using Frequent Pattern Growth Nazori Suhandi; Rendra Gustriansyah
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

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.

A Sales Prediction Model Adopted the Recency-Frequency-Monetary Concept Rendra Gustriansyah; Dana Indra Sensuse; Arief Ramadhan
Indonesian Journal of Electrical Engineering and Computer Science Vol 6, No 3: June 2017
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v6.i3.pp711-720

Predicting future sales is intended to control 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 fulfillment of consumer demand can be prepared in a timely and cooperation with the supplier company can be maintained properly so that the company can avoid losing sales and customers. This study aims to propose a model to predict the sales quantity (multi-products) by adopting the Recency-Frequency-Monetary (RFM) concept and Fuzzy Analytic Hierarchy Process (FAHP) method. The measurement of sales prediction accuracy in this study using a standard measurement of Mean Absolute Percentage Error (MAPE), which is the most important criteria in analyzing the accuracy of the prediction. The results indicate that the average MAPE value of the model was high (3.22%), so this model can be referred to as a sales prediction model.

Clustering optimization in RFM analysis Based on k-Means Rendra Gustriansyah; Nazori Suhandi; Fery Antony
Indonesian Journal of Electrical Engineering and Computer Science Vol 18, No 1: April 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v18.i1.pp470-477

RFM stands for Recency, Frequency, and Monetary. RFM is a simple but effective method that can be applied to market segmentation. RFM analysis is used to analyze customer’s behavior which consists of how recently the customers have purchased (recency), how often customer’s purchases (frequency), and how much money customers spend (monetary). In this study, RFM analysis has been used for product segmentation is to be arrayed in terms of recent sales (R), frequent sales (F), and the total money spent (M) using the data mining method. This study has proposed a new procedure for RFM analysis (in product segmentation) using the k-Means method and eight indexes of validity to determine the optimal number of clusters namely Elbow Method, Silhouette Index, Calinski-Harabasz Index, Davies-Bouldin Index, Ratkowski Index, Hubert Index, Ball-Hall Index, and Krzanowski-Lai Index, which can improve the objectivity and similarity of data in product segmentation so that it can improve the accuracy of the stock management process. The evaluation results showed that the optimal number of clusters for the k-Means method applied in the RFM analysis consists of three clusters (segmentation) with a variance value of 0.19113.

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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