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All Journal Indonesian Journal on Software Engineering (IJSE) Jurnal Sains dan Informatika Jurnal Teknologi Informasi : Jurnal Keilmuan dan Aplikasi Bidang Teknik Informatika Computer Science (CO-SCIENCE) Conten : Computer and Network Technology JUSTIN (Jurnal Sistem dan Teknologi Informasi) INTERACTION: Jurnal Pendidikan Bahasa
Rachmawati Darma Astuti
universitas Bina Sarana Informatika
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Engineering Environmental Science Languange, Linguistic, Communication & Media Library & Information Science Mathematics Other

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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.
Analysis of Wireless Local Area Network (WLAN) at Sirajul Falah Vocational School, Parung, Bogor Arina Selawati; Rachmawati Darma Astuti; Ainun Zumarniansyah; Eka Herdit Juningsih; Robi Aziz Zuama
INTERACTION: Jurnal Pendidikan Bahasa Vol. 11 No. 1 (2024): INTERACTION: Jurnal Pendidikan Bahasa
Publisher : Program Studi Pendidikan Bahasa Inggris, Universitas Pendidikan Muhammadiyah Sorong

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36232/interactionjournal.v11i1.2199

Abstract

The world of education is currently increasingly prioritizing technology in facilitating and developing the teaching and learning process, such as the Wireless Local Area Network (WLAN) at Sirajul Falah Parung Bogor Vocational School which utilizes technology and computer networks to facilitate the responsibilities and duties of staff, teachers and school principals . Wireless Local Area Network (WLAN) is a computer network that is connected using conducting media (non-cable) using frequencies and standards according to wireless network standards. This research uses observation research methods, interviews and literature studies with the aim of finding out the working system of the Wireless Local Area Network (WLAN) at Sirajul Falah Vocational School Parung Bogor and overcoming the deficiencies found such as poor security systems and user management which often results in a large number of users who illegally used the Wireless Local Area Network (WLAN) at Sirajul Falah Vocational School Parung Bogor which also caused other connection problems. One solution that can be taken to overcome the problems found is to carry out management on the Wireless network, namely activating a different username and password feature for each user who is allowed to access the Wireless Local Area Network (WLAN) network at SMK Sirajul Falah Parung Bogor.
ANALISIS SENTIMEN MENGGUNAKAN ALGORITMA K-NEAREST NEIGHBOR PADA REVIEW APLIKASI SHOPEE Fanny Fatma Wati; Nadiyah Hidayati; Mawadatul Maulidah; Andrian Eko Widodo; Rachmawati Darma Astuti
CONTEN : Computer and Network Technology Vol. 5 No. 2 (2025): Desember 2025
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/conten.v5i2.10116

Abstract

E-commerce merupakan media yang memfasilitasi transaksi komersial antara individu dengan individu maupun antara individu dan organisasi melalui sistem daring. Salah satu bentuk implementasi e-commerce adalah aplikasi Shopee. Shopee dikembangkan sebagai aplikasi berbasis perangkat mobile yang memungkinkan pengguna melakukan aktivitas belanja secara online dengan mudah, sehingga transaksi dapat dilaksanakan dimanapun dan kapanpun. Aplikasi tersebut tentunya mempunyai kekurangan dan kelebihan yang dirasa oleh masyarakat. Dari adanya kekurangan dan kelebihan aplikasi shopee tidak sedikit masyarakat yang memberikan ulasan negatif maupun positif terhadap aplikasi tersebut. Pemanfaatan data dalam jumlah besar dapat dilakukan melalui penerapan teknik Data Mining. Penelitian ini bertujuan untuk menganalisis berbagai masalah yang dituju terhadap pengguna terhadap aplikasi Shopee di Google Play Store serta mengukur tingkat akurasi analisis sentimen yang dihasilkan menggunakan algoritma K-Nearest Neighbors (KNN). Menghasilkan bahwa dengan algoritma KNN diperoleh nilai akurasi Pred.Negatif nilainya sebesar 69,59%. Hasil dari Pred.Positif nilainya sebesar 71,70%.  Sedangkan nila accuracy 70,51% dan nilai AUC sebesar  0.804 +/- 0.053 (mikro: 0.804) (positive class: Positif).   E-commerce is a means of commercial transactions between individuals and organizations or a buying and selling transaction conducted online. One example of e-commerce implementation is the Shopee application. Shopee is available in the form of a mobile phone application that makes it easier for users to shop online, allowing access anytime and anywhere. Of course, this application has advantages and disadvantages perceived by the public. Due to the application’s strengths and weaknesses, many users provide both positive and negative reviews of the app. Techniques for utilizing large amounts of data can be applied through Data Mining. The purpose of this research is to analyze issues related to several reviews of the Shopee application on Google Play Store and to determine the accuracy results of sentiment analysis generated using the KNN (K-Nearest Neighbors) algorithm. The result showed that with KNN algorithm obtained the value of Pred. Negative accuracy value of 69.59%. Results from Pred. Positive value of 71.70%.  While accuracy value 70.51% and AUC value of 0804 +/-0053 (Micro: 0804) (positive class: positives). 
Co-Authors Ade Setiawan Andrian Eko Widodo Anton Arina Selawati Budiman, Ade Surya Eka Herdit Juningsih Eka Kusuma Pratama Fanny Fatma Wati Firmansyah Firmansyah Firmansyah Firmansyah Mawadatul Maulidah Musriatun Napiah Nadiyah Hidayati Rachmat Adi Purnama Riyan Almakhi Robi Aziz Zuama Tommi Alfian Armawan Sandi Waeisul Bismi