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All Journal IJCIT (Indonesian Journal on Computer and Information Technology) Jurnal Teknik Komputer AMIK BSI JIKA (Jurnal Informatika) Jurnal Infortech Akrab Juara : Jurnal Ilmu-ilmu Sosial Computer Science (CO-SCIENCE) Sci-Tech Journal Paradigma Literasi: Jurnal Pengabdian Masyarakat dan Inovasi Informatics and Software Engineering (ISE)
Musriatun Napiah
Universitas Bina Sarana Informatika
Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemistry Computer Science & IT Decision Sciences, Operations Research & Management Engineering Industrial & Manufacturing Engineering Library & Information Science Medicine & Pharmacology Public Health Other

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Rancang Bangun Aplikasi Pembelajaran Bahasa Arab Untuk Siswa Madrasah Ibtidaiyah Berbasis Android Waeisul Bismi; Musriatun Napiah; Jordy Lasmana Putra; Fajar Shidiq
Computer Science (CO-SCIENCE) Vol. 1 No. 2 (2021): Juli 2021
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/coscience.v1i2.256

Abstract

With the increasingly open mindset of society today, especially Indonesia, it makes it easy for us to accept new things and implement them in our lives, these new things appear in many aspects such as one of which is education. In terms of education, it is better if it is carried out at an early age, especially in terms of learning a second foreign language or a foreign language substituting for English, this is what elementary school teachers have realized and has begun to be implemented recently, to do this elementary schools need tools to create methods. this learning becomes effective. Therefore the authors make an Arabic learning application that will make it easier for elementary school teachers to effectively introduce basic Arabic such as the recognition of the names of the day for elementary school children, which is equipped with sounds and images that can attract children's interests. This application can be run on an Android smartphone with a minimum Android OS 5.0 (Lollipop) and a maximum Android OS is 8.1 (Oreo).
Perancangan Sistem Informasi Dengan PHP Dan MYSQL Untuk Pendaftaran Sekolah Di Masa Pandemi Mugi Raharjo; Musriatun Napiah; Rian Septian Anwar
Computer Science (CO-SCIENCE) Vol. 2 No. 1 (2022): Januari 2022
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/coscience.v2i1.689

Abstract

During the current Covid-19 pandemic, a platform such as a website is needed to facilitate the process and activities of new student admissions in the field of education, the activity in question is holding a selection of new student admissions in schools. In the process of admitting new students, there are still a lot of schools that still use the system manually or face to face in the admissions process, so that the level of efficiency and security in order to maintain health protocols can be met. In this design, the author conducted a case study in one of the kindergartens in Jakarta which still applies a manual system so that in this pandemic era it is very effective. Students don't need to be bothered to come to school during this pandemic. In terms of education on the website, we provide guidance to parents on how to use the website via whatsapp video call or Zoom Meeting to make it easier. For that we tried to make the website, which is an information system that is used for new student admissions based on the website to make it easier for parents to register for school for their children. And the selection of the website platform was chosen to make it easier for parents to open this service without having to install applications that would normally take up memory on smartphone devices, we created this website with Php and My Sql. The results of this study indicate that this system is able to manage the process of accepting new students for this school.
Metode Point to Point Tunneling Protocol Untuk Keamanan Jaringan Studi Kasus Kantor Walikota Administrasi Jakarta Barat Fajar Akbar; Susafa'ati Susafa'ati; Musriatun Napiah
Jurnal Infortech Vol 1, No 2 (2019): Desember 2019
Publisher : Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (104.621 KB) | DOI: 10.31294/infortech.v1i2.7112

Abstract

Abstrak-Kemajuan dan perkembangan Ilmu Pengetahuan dan Teknologi saat ini sangatlah pesat, tentunya Sistem Keamanan Jaringan pun semakin berkembang seiring dengan kedua hal tersebut. Perusahaan – perusahaan sudah melakukan komputerisasi, sehingga setiap bagiannya menggunakan komputer dalam setiap operasionalnya, semakin maju dan berkembang perusahaan tersebut akan membuka cabang baru dalam operasionalnya baik di luar kota, negeri, ataupun benua untuk meningkatkan kualitas dan kuantitas produksi perusahaan. Dalam bidang administrasi pemerintah penting dalam manajemen pembagian jaringan, dan pertukaran data agar cepat, mudah, dan tepat dalam pengerjaannya, dan tidak mudah diakses pihak luar suku dinas kepemerintahan. Sistem keamanan jaringan yang baik, sangat diperlukan dalam pertukaran data dari kantor pusat ke kantor cabang sehingga dapat dilakukan secara aman dan terjamin dari pihak luar. Ada berbagai macam software aplikasi yang bisa digunakan dalam hal keamanan pada suatu jaringan, akan tetapi tidak semua software terjaga keamanan datanya dalam proses pertukaran data. Oleh karena itu dengan metode point to point tunneling protocol pada VPN sangatlah cocok jika digunakan dalam pertukaran data antar perusahaan karena metode ini menggunakan jalur private dengan ip public dalam pertukaran datanya, sehingga keamanan dalam hal kebocoran data sangat terjamin dari pihak luar yang tidak bertanggung jawab.
IMPLEMENTASI ALGORITMA DJIKSTRA MENENTUKAN JARAK TERDEKAT JELAMBAR KAMPUS STMIK NUSA MANDIRI CENGKARENG Musriatun Napiah; Rachma Darma Astuti; Mustofa Mustofa
Akrab Juara : Jurnal Ilmu-ilmu Sosial Vol 7 No 1 (2022): Februari
Publisher : Yayasan Azam Kemajuan Rantau Anak Bengkalis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58487/akrabjuara.v7i1.1757

Abstract

Traffic jams in Jakarta have become our daily sight. There are many steps that have been taken by the government to solve congestion in Jakarta. However, traffic jams still occur today. The high mobility of road users is often constrained by the lack of limited road facilities and infrastructure. Therefore, road users must find their own way to solve this problem. That is, one of the most effective and efficient ways is to find an alternative route or route for the shortest distance that can be traversed using the Djikstra Algorithm. So that the journey from the Jelambar area to the STMIK NUSA MANDIRI Cengkareng campus can be passed quickly without being blocked by traffic jams. The use of the Djikstra Algorithm can provide a solution because the Djikstra Algorithm provides output in the form of the fastest and shortest path from the place of origin to our destination.
APLIKASI PERHITUNGAN BERAT BADAN IDEAL MENGGUNAKAN METODE IMT BERBASIS ANDROID Ade Setiawan; Tika Adilah M; Muhammad Muharrom; Musriatun Napiah
Jurnal Akrab Juara Vol 4 No 4 (2019)
Publisher : Yayasan Akrab Pekanbaru

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Knowledge of normal weight is very important. Many general public whose lifestyle is unhealthy and irregular. One pattern of unhealthy living is excessive consumption of food. So that the height and weight are not balanced. When we consume too much food excessively, this can cause obesity. Because various kinds of diseases arise due to obesity problems. So from this we the authors make an android-based application whose function is to socialize the importance of ideal body weight. Of course many methods are used to find out the ideal weight category. Here the author uses the IMT (Body Mass Index) method to calculate and determine the ideal weight category and the tools used are eclipse indigo.
Analisis Penerimaan Teknologi Pendidikan Selama Pandemi Covid19 Terhadap Dunia Pendidikan Musriatun Napiah; Waeisul Bismi; Dwiza Riana; Rachmawati Darma Astuti; Jordy Lasmana Putra
IJCIT (Indonesian Journal on Computer and Information Technology) Vol 7, No 1 (2022): IJCIT Mei 2022
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (310.542 KB) | DOI: 10.31294/ijcit.v7i1.11812

Abstract

Perkembangan teknologi informasi yang semakin pesat di era globalisasi saat ini tidak bisa dihindari lagi pengaruhnya terhadap dunia pendidikan. Tuntutan global menuntut dunia pendidikan untuk selalu dan senantiasa menyesuaikan perkembangan teknologi. Pada penelitian ini bertujuan untuk menguji penerimaan pengajar terhadap penggunaan teknologi dalam pendidikan dengan menggunakan metode Technology Acceptance Model (TAM) sebagai pendekatan analitik. Pada penelitian ini ter-dapat empat faktor TAM, yaitu persepsi kemudahan penggunaan, persepsi kegunaan, sikap terhadap penggunaan kom-puter, dan niat penggunaan. Niat Perilaku sebagai pengguna menjadikan faktor evaluasi untuk mengukur penerimaan teknologi oleh pengajar dan diajukan total enam hipotesis. Kuesioner online digunakan untuk mengekstrak informasi dari pengajar di Jakarta dan terkumpul sebanyak 150 responden. Hasil penelitian menjelaskan bahwa penggunaan komputer ditentukan sebagai faktor kunci dalam penerimaan penggunaan teknologi yang dapat dijelaskan oleh faktor – faktor dan dapat dievaluasi untuk menjelaskan perilaku penggunaan terhadap teknologi dalam pendidikan.The development of information technology that is increasingly rapidly in the current era of globalization cannot be avoided anymore its influence on the world of education. Global demands require the world of education to always and constantly adapt to technological developments. This study aims to test the acceptance of teachers towards the use of technology in education by using the Technology Acceptance Model (TAM) as an analytical approach. In this study, there are four TAM factors, namely perceived ease of use, perceived usefulness, attitudes towards computer use, and usage intentions. Behavioral intention as a user is used as an evaluation factor to measure technology acceptance by teachers and a total of six hypotheses are proposed. An online questionnaire was used to extract information from teachers in Jakarta and collected 150 respondents. The results of the study explain that the use of computers is determined as a key factor in the acceptance of the use of technology which can be explained by factors and can be evaluated to explain the behavior of using technology in education.
Perbandingan Algoritma Dengan Particle Swarm Optimization Untuk Analisis Sentimen Pada Peraturan PSBB di Indonesia Mugi Raharjo; Jordy Lasmana Putra; Tommi Alfian Armawan Sandi; Musriatun Napiah
Paradigma Vol. 24 No. 1 (2022): Periode Maret 2022
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (333.243 KB) | DOI: 10.31294/paradigma.v24i1.968

Abstract

The pandemic has given rise to new rules and terms in society. Various countries have their own regulations, including Indonesia with the name PSBB for that, the author tries to conduct research related to the PSBB condition in Indonesia with the intent and purpose of knowing people's sentiments towards it, the authors carry out this modeling positively and negatively. model in a tweet on Twitter. We capture information through Twitter media which then we process the data so that it is ready to be tested on the algorithm used. In data collection and processing, we use a fast miner application. In this study, Naive Bayes,KNN,and SVM were used. We also did a model comparison with Particle Swarm Optimization. model 1 tested three algorithms using a 0.7-0.8 ratio validation and 10-fold cross-validation, In Model 2 the author used a selection feature, namely Particle swarm Optimization where PSO was used as optimization. From the second model, the accuracy is 88.00%. for SVM + PSO, 88.54%% for NB + PSO and 81.58% for K -NN + PSO. And after testing the 2 methods, it turns out that Naive Bayes + PSO has the highest level of accuracy and precision
KOMPARASI ALGORITMA UNTUK KLASIFIKASI PENYAKIT ISPA (INFEKSI SALURAN PERNAPASAN AKUT) MUSRIATUN NAPIAH; RACHMAT ADI PURNAMA; MUGI RAHARJO; WAEISUL BISMI
Jurnal Infortech Vol 4, No 2 (2022): Desember 2022
Publisher : Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/infortech.v4i2.13644

Abstract

Infeksi saluran pernapasan akut atau  sering disebut sebagai ISPA adalah terjadinya infeksi yang parah pada bagian sinus, tenggorokan, saluran udara, atau paru-paru. Infeksi yang terjadi lebih sering disebabkan oleh virus meski bakteri juga bisa menyebabkan kondisi ini. salah satu masalah di dalam dunia medis adalah ketidak seimbangan antara pasien dan dokter. Selain itu, sebagian besar dari masyarakat tidak terlatih medis sehingga, apabila mengalami gejala penyakit yang di derita belum tentu dapat memahami cara-cara penanggulangannya. Sangat disayangkan apabila gejala-gejala yang sebenarnya dapat ditangani lebih awal menjadi penyakit yang lebih serius. Dalam penelitian ini bertujuan untuk menggunakan data dari pasien ISPA yang ada di Puskesmas Kelurahan Penjaringan 1 untuk mengetahui bagaimana penyakit tersebut menyebar, dan terdeteksi keberadaannya dengan gejala yang dirasakan menggunakan metode machine learning dengan perbandingan tiga algoritma dengan melalui proses akuisisi data - preprocessing – Classification – output. Dengan adanya pembelajaran mesin pada kumpulan data klinis dan paraklinis diharapkan bisa untuk mendiagnosis secara akurat. Hasil dari penelitian menggunakan machine learning yang digunakan Naïve Bayes, hasil akurasi yang di peroleh sebesar 98% dengan Kappa Score 95%, K-Nearest Neighbour hasil akurasi yang di peroleh sebesar 94% dengan Kappa Score 87%, sedangkan dengan menggunakan SVM di peroleh akurasi sebesar 99% dengan Kappa Score 97%.
Pelatihan Optimalisasi Website Untuk Meningkatkan Kinerja Profesional Melalui Perencanaan (Planning) Website Eni Heni Hermaliani; Rifki Sadikin; Muhammad Haris; Mila Desi Anasanti; Waesul Bismi; Musriatun Napiah
Literasi: Jurnal Pengabdian Masyarakat dan Inovasi Vol 2 No 2 (2022)
Publisher : Pengelola Jurnal Politeknik Negeri Ketapang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (238.852 KB) | DOI: 10.58466/literasi.v2i2.580

Abstract

Al Birru Indonesia Foundation is a partner in a community service program located in the Jakasampurn area, Bekasi. This foundation is engaged in a humanitarian social institution initiated by a group of youth with their ideas and positive thoughts to build the character of an independent society, especially young teenagers. As a non-profit organization, it is very necessary to have a website that can be used as a promotional medium to introduce its programs, company profile, and as a form of accountability for the funds that have been given by donors. The current problem is that the website that is already owned is not optimal in its management, for example, related to the available menus that are still lacking and not updated. Thus, through this community service activity, training on website optimization was carried out which discussed website planning. The results of this activity were the audience of the trainees gaining knowledge and knowledge about website planning including creating page layouts, determining website facilities, display designs, mock-ups, to content structure. The results of the questionnaire showed that 60 to 70% were satisfied with the modules given and the delivery of tutors, 70% of participants stated that they were very useful for PkM activities, and 50% would participate again in the implementation of the next PkM activity.
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.
Co-Authors Ade Setiawan Ade Setiawan Aminuyati Arina Selawati Dwiza Riana Eka Kusuma Pratama Endrawan, Afif Eni Heni Hermaliani Erawati, Wati Fajar Akbar Fajar Shidiq Jordy Lasmana Putra Leksono, Ilham Nur Mila Desi Anasanti Mugi Raharjo Muhammad Haris Muhammad Muharrom Muhammad Muharrom Mustofa Mustofa Mustofa Mustofa Rachma Darma Astuti Rachmat Adi Purnama Rachmawati Darma Astuti Rachmawati Darma Astuti Raharjo, Mugi Rian Septian Anwar Rifki Sadikin Riziq Shihab, Muhammad Alfata Sujiliani Heristian Susafa'ati Susafa'ati Tika Adilah M Tommi Alfian Armawan Sandi Waeisul Bismi Waesul Bismi