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PERENCANAAN KONTINUITAS BISNIS STUDI KASUS: BPJS KESEHATAN Dealfinthy Gitarini; Is Mardianto
JURNAL PENELITIAN DAN KARYA ILMIAH LEMBAGA PENELITIAN UNIVERSITAS TRISAKTI Vol. 3 No. 2 (2018)
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat Universitas Trisakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (257.893 KB) | DOI: 10.25105/pdk.v3i2.2981

Abstract

Semakin besar sebuah usaha maka semakin banyak pula ancaman atau bencana yang dapat mengganggu berjalannya proses sebuah bisnis. Business Continuity Plan adalah sebuah dokumen yang dapat menjadi solusi untuk membantu menjaga keseimbangan sebuah bisnis agar dapat tetap berjalan optimal ketika bencana melanda. Metodologi yang digunakan dalam pembuatan BCP terdiri dari enam tahap, yaitu tahap pengumpulan informasi, penilaian risiko, analisa dampak bisnis, pengembangan strategi mitigasi, pengembangan tanggap darurat, dan pengembagan dokumen business continuity. Dalam makalah ini akan dijelaskan secara singkat tahapan BCP yang telah dilakukan pada suatu studi kasus di BPJS Kesehatan. Hasil dari pembuatan BCP ini adalah berupa dokumen business continuity plan.
PERENCANAAN KONTINUITAS BISNIS STUDI KASUS: BPJS KESEHATAN Dealfinthy Gitarini; Is Mardianto
JURNAL PENELITIAN DAN KARYA ILMIAH LEMBAGA PENELITIAN UNIVERSITAS TRISAKTI Vol. 3 No. 2 (2018)
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat Universitas Trisakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25105/pdk.v3i2.2981

Abstract

Semakin besar sebuah usaha maka semakin banyak pula ancaman atau bencana yang dapat mengganggu berjalannya proses sebuah bisnis. Business Continuity Plan adalah sebuah dokumen yang dapat menjadi solusi untuk membantu menjaga keseimbangan sebuah bisnis agar dapat tetap berjalan optimal ketika bencana melanda. Metodologi yang digunakan dalam pembuatan BCP terdiri dari enam tahap, yaitu tahap pengumpulan informasi, penilaian risiko, analisa dampak bisnis, pengembangan strategi mitigasi, pengembangan tanggap darurat, dan pengembagan dokumen business continuity. Dalam makalah ini akan dijelaskan secara singkat tahapan BCP yang telah dilakukan pada suatu studi kasus di BPJS Kesehatan. Hasil dari pembuatan BCP ini adalah berupa dokumen business continuity plan.
Perbandingan Peramalan Harga Beras Menggunakan Metode ARIMA pada Amazon Forecast dan Sagemaker Is Mardianto; Muhamad Ichsan Gunawan; Dedy Sugiarto; Abdul Rochman
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 4 No 3 (2020): Juni 2020
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (474.063 KB) | DOI: 10.29207/resti.v4i3.1902

Abstract

Rice is one of the main commodities of trade in Indonesia. PT Food Station as the management company of Cipinang Rice Main Market every day publishes data on price, type of rice and the amount of rice that enters and exits Jakarta area. This study aims to forecast rice prices in the Jakarta area using data held by PT FoodStation during the 2016-2018 data period. Rice price prediction is carried out for the next 30 days using the Auto Regressive Integrated Moving Average (ARIMA) method on the Amazon Forecast and Amazon Sagemaker platforms. The ARIMA model is a form of regression analysis that measures the strength of one dependent variable that is relatively influential on other change variables. The ARIMA model is a special type of regression model in which the dependent variable is considered stationary and the independent variable is the lag or previous value of the dependent variable itself and the error lag. ARIMA is a combination of auto-regressive and moving average processes. The final result obtained in this experiment is that the ARIMA model on Amazon Sagemaker cloud computing is superior when compared to Amazon Forecast. From the experimental results obtained the results of Amazon Sagemaker RMSE (313.379941) are smaller than Amazon Forecast (322.4118029). So it can be concluded that the ARIMA model run at Amazon Sagemaker is more accurate than Amazon Forecast for forecasting the price of rice for 30 days at the Cipinang Rice Main Market
Uji Validasi Algoritme Self-Organizing Map (SOM) dan K-Means untuk Pengelompokan Pegawai Titik Susilowati; Dedy Sugiarto; Is Mardianto
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 4 No 6 (2020): Desember 2020
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (690.784 KB) | DOI: 10.29207/resti.v4i6.2492

Abstract

Managing employee work discipline needs to be done to support the development of an organization. One way to make it easier to manage employee work discipline is to group employees based on their level of discipline. This study aims to group employees based on their level of discipline using the Self Organizing Map (SOM) and K-Means algorithm. This grouping begins with collecting employee attendance data, then processing attendance data where one of them is determining the parameters to be used, then ending by implementing the clustering algorithm using the SOM and K-Means algorithms. The results of grouping that have been obtained from the implementation of the SOM and K-Means algorithms are then validated using an internal validation test consisting of the Dunn Index, the Silhouette Index and the Connectivity Index to obtain the best number of clusters and algorithms. The results of the validation test obtained 3 best clusters for the level of discipline, namely the disciplinary cluster, the moderate cluster and the undisciplined cluster.
The Elastic Stack Ability Test To Monitor Slowloris Attack on Digital Ocean Server Is Mardianto; Dedy Sugiarto; Krisna Aditama Ashari
Ultimatics : Jurnal Teknik Informatika Vol 13 No 2 (2021): Ultimatics : Jurnal Teknik Informatika
Publisher : Faculty of Engineering and Informatics, Universitas Multimedia Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31937/ti.v13i2.2209

Abstract

Servers have a central role in computer network. The server is in charge of serving user requests with various types of services. Every server activity in handling these things will generate different types of logs. Information from this large amount of logs is often ignored and has not been widely used as material for analyzing the performance of the server itself. In this study, Elastic Stack is functioned as a system that handles upstream to downstream processes starting from collection, transformation, and storage as well as graphical visualization of the Nginx web server given an attack scenario in the form of massive incoming connection requests and server login access attempts. The Elastic Stack components used as log collectors are Filebeat and Metricbeat for system metric data. For testing attacks using the Slowloris tool which will consume web server resources. The results of the research that have been carried out are when there are 500 incoming connections, the web server can serve requests normally, at 1000 connections there are some packets that are not served, the server becomes unable to access when it reaches a total of 2000 incoming connections. Metric data in the form of CPU Usage and Memory Usage are affected, although not significantly. Identification of IP Address shows the source of the attack comes from Singapore, according to the domicile of the attacker's computer. All access data in the form of username, time, origin of region trying to enter the server are recorded by the system.
PERENCANAAN KONTINUITAS BISNIS STUDI KASUS: BPJS KESEHATAN Dealfinthy Gitarini; Is Mardianto
JURNAL PENELITIAN DAN KARYA ILMIAH LEMBAGA PENELITIAN UNIVERSITAS TRISAKTI Vol. 3 No. 2 (2018)
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat Universitas Trisakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (257.893 KB) | DOI: 10.25105/pdk.v3i2.2981

Abstract

Semakin besar sebuah usaha maka semakin banyak pula ancaman atau bencana yang dapat mengganggu berjalannya proses sebuah bisnis. Business Continuity Plan adalah sebuah dokumen yang dapat menjadi solusi untuk membantu menjaga keseimbangan sebuah bisnis agar dapat tetap berjalan optimal ketika bencana melanda. Metodologi yang digunakan dalam pembuatan BCP terdiri dari enam tahap, yaitu tahap pengumpulan informasi, penilaian risiko, analisa dampak bisnis, pengembangan strategi mitigasi, pengembangan tanggap darurat, dan pengembagan dokumen business continuity. Dalam makalah ini akan dijelaskan secara singkat tahapan BCP yang telah dilakukan pada suatu studi kasus di BPJS Kesehatan. Hasil dari pembuatan BCP ini adalah berupa dokumen business continuity plan.
PELATIHAN INTERNET SEHAT: KEPEDULIAN DIRI AKAN KEAMANAN INFORMASI Agung Sediyono; Is Mardianto; Muhammad Najih; Gatot Budi Santoso; Abdul Rochman
JUARA: Jurnal Wahana Abdimas Sejahtera Volume 2, Nomor 1, Januari 2021
Publisher : Universitas Trisakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1120.99 KB) | DOI: 10.25105/juara.v2i1.7485

Abstract

Internet and social media usage in daily activities is continuously increasing. UKM gets the benefit of information technology to increase its sale through scale up the marketing target in order to increase its revenue. However, most of UKM are worry about the risk in using information technology in their daily activities, such as cyber fraud and stealing their private data and their identities. To overcome these problems, it needs to design training materials that can reduce theirs worry in using information technology. Designed training material based on problem faced by training participants can satisfy and give a benefit to participants even though the instructor delivery and response is not good.
Teknik Koreksi Posisi dan Bentuk Objek Citra dalam Basis Waktu-Bilangan Gelombang Is Mardianto
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 5 No 2: Mei 2016
Publisher : Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1047.902 KB)

Abstract

In the case of radar imagery, the image is the result of convolution between the wave source and the reflection coefficient of the object, which of them is the amount of electrical conductivity and dielectric constant of the object. Image is produced from the concept of scattering, where the absence of scattering events will not produce radar image. The image of the measurement results usually do not represent the position and shape of the actual object condition. To restore the image to the actual condition, a proper technique is needed.This study presents the technique of image correction in the base period and the number of waves (T-K), on the conditions of the object in the form of sloping soil layers and diffraction object in the form of metal that is round. Image correction on the basis of T-K is conducted by performing Fourier transformation on the original image (wave field F (t, k)) in the space dimension x to dimension k that generates a field new wave F (t, k). Then, wave field F (t,k) will be corrected for each wave number by converting it first into a new wave field Q (τ,k), then the wave field Fourier transformed to obtain the corrected section q (τ,x)Results of image correction on the basis of the T-K gives the results of the position and shape of the image that is appropriate based on the actual conditions. This can be ascertained because of the imagery used is a synthetic image of the position and the initial condition is set and known in advance.