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All Journal Indonesian Journal on Software Engineering (IJSE) Jurnal Sains dan Informatika INTI Nusa Mandiri Jurnal Teknologi Informasi : Jurnal Keilmuan dan Aplikasi Bidang Teknik Informatika Computer Science (CO-SCIENCE) JUSTIN (Jurnal Sistem dan Teknologi Informasi)
Rachmawati Darma Astuti
universitas Bina Sarana Informatika
Computer Science & IT Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Engineering Library & Information Science Mathematics

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Sistem Informasi Pendaftaran Santri Baru Dipondok Pesantren Modern Darunn’aim Berbasis Website Waeisul Bismi; Ade Setiawan; Arina Selawati; Tommi Alfian Armawan Sandi; Rachmawati Darma Astuti
Indonesian Journal on Software Engineering (IJSE) Vol 6, No 2 (2020): IJSE 2020
Publisher : Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/ijse.v6i2.8958

Abstract

Abstract: Registration information system is one form of technology whose development plays an important role in recruiting new members in a particular agency. In the tradition the boarding school registration system used still uses the system manually in accepting new santri or managing new santri data. The design of the new santri registration information system at this modern website-based boarding school Darunna’im aims to make it easier for new santri candidates to register for the pesantren boarding school online or as a media that facilitates the administration in managing the data of new santri candidates and the features of this website new online. This website is implemented on technology including, using the PHP language as a programming language and MySQL as a database with the design using CSS and using the waterfall method as the flow of making this website. This website is useful for new santri candidates and the administration of Islamic boarding schools in registering as to register prospective santri and managing the data of new santri online with it as an alternative form of media in this modern era, without having directly to the cottage and facilitate data collection. Keywords: Registration, Website, Waterfall, Santri Abstrak: Sistem informasi pendaftaran merupakan salah satu bentuk teknologi yang perkembangannya berperan penting dalam merekrut anggota baru pada suatu instansi tertentu. Dalam tradisi pondok pesantren sistem pendaftaran yang digunakan masih menggunakan sistem secara manual dalam menerima santri baru ataupun memanajemen data santri baru. Perancangan Sistem informasi pendaftaran santri baru pada pondok pesantren modern darunnaim berbasis website ini bertujuan untuk mempermudah calon santri baru melakukan pendaftaran kepihak pondok pesanteren secara online atau sebagai media yang memudahkan administrasi dalam memanajemen data calon santri baru dan adapun fitur didalam website ini yakni penyeleksian ujian calon santri baru secara online. Website ini memanfaatkan penggunaan bahasa pemprograman PHP sebagai bahasa pemrograman serta MySQL sebagai database dengan desain menggunakan CSS dan menggunakan metode waterfall sebagai alur pembuatan website ini. Website ini berguna untuk calon santri baru dan pihak administrasi pondok pesantren dalam mendaftarkan diri sebagai calon santri dan memanajemen data calon santri baru dengan secara online sebagai bentuk media alternatif dalam era modern ini, tanpa harus mendaftarkan langsung ke pondok serta memudahkan dalam pendataan. Kata kunci: Pendaftaran, Website, Waterfall, Santri
OPTIMALISASI KEAMANAN WIRELESS MENGGUNAKAN FILTERING MAC ADDRESS: OPTIMALISASI KEAMANAN WIRELESS MENGGUNAKAN FILTERING MAC ADDRESS Firmansyah Firmansyah; Rachmat Adi Purnama; Rachmawati Darma Astuti
Jurnal Teknologi Informasi: Jurnal Keilmuan dan Aplikasi Bidang Teknik Informatika Vol. 15 No. 1 (2021): Jurnal Teknologi Informasi : Jurnal Keilmuan dan Aplikasi Bidang Teknik Inform
Publisher : Universitas Palangka Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47111/jti.v15i1.1910

Abstract

The use 802.11 wireless-based network services have become one of the most widely used network services, this will be directly proportional to the security holes that are in the wireless network. The rise of access rights theft in wireless networks is due to the large number of software and tools available on the internet to read encryption in wireless security. To minimize the occurrence of theft of access rights in wireless networks can use a layered security system by implementing security Hotspot login and MAC Address Filtering. This layered wireless network security is able to block users who try to access the network. This is because the wireless network security system has verified access rights 2 (two) times by matching the username and password in the hotspot login with the physical address or MAC address of the client. From the research results obtained by clients who use a username and password with different devices can not access the computer network. So every client who wants to connect to the internet network must use a device that has registered its MAC Address and in accordance with user access rights and passwords in the Hotspot login
Performa Redundancy Link Hot Standby Router Protocol IPv6 With Routing EIGRP for IPv6 Firmansyah Firmansyah; Rachmat Adi Purnama; Anton Anton; Rachmawati Darma Astuti
Jurnal Sains dan Informatika Vol. 7 No. 1 (2021): Jurnal Sains dan Informatika
Publisher : Teknik Informatika, Politeknik Negeri Tanah Laut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34128/jsi.v7i1.297

Abstract

Pengalokasi IP Address versi 4 (IPv4) yang mulai menipis berjalan secara beriringan dengan semakin meningkatnya kebu-tuhan dunia teknologi informasi. Untuk memenuhi permintaan dari penggunaan IP Address, maka diterapkanlah Internet Protocol version 6 (IPv6). Hadirnya IPv6 diharapkan menjadi sebuah solusi dari permasalahan yang dihadapi oleh IPv4 seperti permasalahan terbatasnya alokasi IP Address dan keamanan jaringan komputer. Pengimplementasian IP Address didalam jaringan komputer tidak lepas dari adanya protokol routing. Routing protocol Enhanced Interior Gateway Routing Protocol (EIGRP) pun ikut berkembang dengan adanya penggunaan IPv6 menjadi EIGRP for IPv6 (EIGRPv6). Perkem-bangan jaringan haruslah mempertimbangkan faktor Quality of Service (QoS) di dalamnya. Hot Standby Router Protocol (HSRP) IPv6 hadir untuk memastikan layanan jaringan dapat berjalan dengan maximal dan stabil saat terjadinya link failure pada layanan jaringan. HSRP IPv6 mampu mengoptimalkan packet loss saat terjadinya redundancy dengan nol (0) packet loss, serta redundancy time yang dibutuhkan saat terjadinya redundancy dari router active menuju router standby 10 second dan router standby menuju router active 26,2 second
Implementasi Protokol Keamanan Dan Segmentasi Jaringan Dalam Project Pembangunan WLAN Untuk PT Pan Pacific Insurance Riyan Almakhi; Ade Surya Budiman; Rachmawati Darma Astuti
JUSTIN (Jurnal Sistem dan Teknologi Informasi) Vol 11, No 1 (2023)
Publisher : Jurusan Informatika Universitas Tanjungpura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26418/justin.v11i1.53745

Abstract

Security of data and network devices is essential in the development of a computer network, either in the creation of new computer networks or in the development of existing computer networks. PT. Pan Pacific Insurance as a company that holds large amounts of data along with its supporting computer network's infrastructure, focuses on security aspects in addition to performance aspects in its computer network. To get the flexibility of its computer network, the company developed a wireless local area network (WLAN) in line with the relocation of its head office. The Existing company's network needs to be improved with a WLAN network, so it does not only improve employee performance and provides the best security for company data. For those purposes, the authors applied the use of Cisco Wireless LAN Controller (WLC), Cisco Access Point and applied the WPA+WPA2 PSK security protocol for the SSID used by employees. Using this protocol when employees want to connect to the network wireless, they will be forced to type the password that has been set. In addition to implementing the security protocol, the author also applies the Web Policy Authentication security protocol for the SSID used by guests. So that guests who want to connect to a wireless network will be directed to a web browser to be asked to enter a username and password first. A series of security protocols, also added with network segmentation on each SSID to use a different network address. Thus, the essence of network security and performance is expected to increase. From the results of the tests carried out, obtained security guarantees on the PT. Pan Pacific Insurance successfully directs every user connected to the network as part of the security protocol implemented. Furthermore, with network segmentation, user traffic is more controlled because guests get their network segmentation, so they don't interfere with network traffic for users or company staff in company operations.
Komparasi Algoritma Machine Learning untuk Klasifikasi Gejala Coronavirus Disease 19 (Covid-19) Musriatun Napiah; Rachmawati Darma Astuti; Eka Kusuma Pratama
Computer Science (CO-SCIENCE) Vol. 3 No. 2 (2023): Juli 2023
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/coscience.v3i2.1984

Abstract

COVID-19 or Corona Virus Disease 19 is a member of the extended family of coronaviruses that cause a spectrum of illnesses from mild to severe, including MERS and SARS. While the cause of COVID-19 transmission has not been confirmed, it is believed that the virus is transmitted from animals to humans, causing various symptoms such as cough, runny nose, fever, sore throat and loss of smell. Research was conducted to classify COVID-19 symptoms into low, medium, and high categories in patients. This study aims to classify patient data and determine the risk of COVID-19 infection based on the severity of symptoms, namely mild, moderate, and high. Machine learning methods, including Decision Tree and SVM algorithms, are introduced and compared with K-Nearest Neighbor (K-NN), Neural Network (NN), Random Forest (RF), and Naive Bayes. The dataset used contains 127 patient records from kaggle.com. The test results showed that SVM achieved 54% accuracy, while Decision Tree achieved 98%. This research provides important insights into the risk assessment of COVID-19 infection based on symptom severity, and the use of machine learning techniques is expected to improve analysis and prediction capabilities in the face of the COVID-19 pandemic.
PENERAPAN K-MEANS DAN K-MEDOIDS BERBASIS RFM PADA SEGMENTASI PELANGGAN DI MASA PANDEMI COVID-19 Sri Watmah; Dwiza Riana; Rachmawati Darma Astuti
INTI Nusa Mandiri Vol 18 No 2 (2024): INTI Periode Februari 2024
Publisher : Lembaga Penelitian dan Pengabdian Pada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/inti.v18i2.4963

Abstract

The outbreak of the CORONA virus in Indonesia in early March 2020 has created unrest, especially in the business world. The impact caused some small and medium-sized businesses to go out of business, so the right marketing strategy is needed to maintain and increase customer loyalty. The purpose of this research is to segment PT Megadaya Maju Selaras' customers based on their characteristics by comparing the RFM-based K-Means and K-Medoids algorithms as attributes in the research. The dataset used comes from the purchase transaction data of PT Megadaya Maju Selaras customers. Experiments in this study used the CRISP-DM model. The results showed that the K-Means algorithm has a smaller Davies Bouldin Index (DBI) value than K-Medoids, meaning that the K-Means method is the right method for this research. With the K-Means method, the overall data shows the optimal k in cluster 4 with a DBI value of 0.286, the data before the pandemic shows the optimal k value in cluster 2 with a DBI value of 0.299, after the pandemic shows the optimal k in cluster 5 with a DBI value of 0.278. The overall data is divided into 4 segments, namely superstar, typical customer, occational customer and dormant customer. Data before the pandemic is divided into 2 segments, namely typical customers and superstars. Meanwhile, after the pandemic is divided into 5 segments, namely typical customer, occational customer, golden customer, dormant customer and superstar. With this research, PT Megadaya Maju Selaras can provide the right service for each customer group.
Co-Authors Ade Setiawan Anton Arina Selawati Budiman, Ade Surya Dwiza Riana Eka Kusuma Pratama Firmansyah Firmansyah Firmansyah Firmansyah Musriatun Napiah Rachmat Adi Purnama Riyan Almakhi Sri Watmah Tommi Alfian Armawan Sandi Waeisul Bismi