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All Journal TEKNIK INFORMATIKA ARABIYAT Jurnal Edukasi dan Penelitian Informatika (JEPIN) JOIV : International Journal on Informatics Visualization Jurnal Ilmiah FIFO Jurnal Pilar Nusa Mandiri International Journal of Technology And Business Jurnal Pengabdian Masyarakat AbdiMas MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer MULTINETICS JISKa (Jurnal Informatika Sunan Kalijaga) Cyber Security dan Forensik Digital (CSFD) Jurnal E-Komtek Journal of Applied Data Sciences Science, Technology, and Communication Journal
Siti Ummi Masruroh
Universitas Islam Negeri Syarif Hidayatullah Jakarta
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media Library & Information Science Materials Science & Nanotechnology Social Sciences

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The Effect of Social Support and Self-Efficacy on Interest in Arabic Learning for College Students Zikri Neni Iska; Kaula Fahmi; Ilham Maulana Amyn; Siti Ummi Masruroh
Arabiyat : Jurnal Pendidikan Bahasa Arab dan Kebahasaaraban Arabiyat : Jurnal Pendidikan Bahasa Arab dan Kebahasaaraban | Vol. 10 No. 1 June 2023
Publisher : Syarif Hidayatullah State Islamic University of Jakarta, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15408/a.v10i1.30409

Abstract

This study aims to determine the effect of social support and self-efficacy on interest in learning Arabic in students of the general faculty of UIN Jakarta. This study used quantitative research method, and the population were students of general studies at UIN Jakarta. The samples used in this study were 152 students of the General Study Program of UIN Jakarta. The sampling technique in this study uses a non-probability sampling technique. The measuring tools used in this study are the interpersonal support evaluation list – shortened version, (GSES-12), and Interest in Academic Domain. Test the validity of the measuring instrument used using the (CFA) technique. The results of the hypothesis test show that the value of R Square = 0.50, which means that the proportion of the variance of interest in learning Arabic which is explained by all independent variables is 50.3%, while the other 49.7% is influenced by other variables not examined. Two variables positively and significantly affect interest in learning Arabic, namely tangible support and self-efficacy.
Aplikasi Prediksi Penjualan dan Persediaan Barang Menggunakan Metode SES dan EOQ (Studi Kasus: UD. Sumber Alam Stone) Galang Ardian Sugianto; Arini Arini; Siti Ummi Masruroh
JISKA (Jurnal Informatika Sunan Kalijaga) Vol. 5 No. 1 (2020): Mei 2020
Publisher : UIN Sunan Kalijaga Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (267.055 KB) | DOI: 10.14421/jiska.2020.51-03

Abstract

UD. Sumber Alam Stone merupakan usaha dagang yang menjual berbagai jenis batu alam. Dalam proses usaha dagang terdapat kendala berupa kurangnya persediaan barang. Untuk mengatasinya diperlukan solusi manajemen yang baik berupa peramalan terhadap penjualan dan persediaan barang. Dalam penelitian ini, penulis membangun aplikasi prediksi dengan menggunakan metode SES untuk memprediksi penjualan tahun 2019 dan metode EOQ untuk mengelola persediaan barang berupa pemesanan optimal, pemesanan ekonomis, biaya persediaan, safety stock dan reorder point pada tahun 2019. Data yang digunakan dalam penelitian ini adalah data penjualan batu alam dari tahun 2012 sampai 2018. Pengujian yang dilakukan pada aplikasi ini menggunakan pengujian blackbox. Hasil prediksi penjualan pada tahun 2019 adalah 2059 , dari prediksi tersebut diperoleh pemesanan optimal sebesar 258  untuk setiap pemesanan ekonomis yang berjumlah 8 kali pemesanan, dengan total biaya persediaan batu alam sebesar Rp. 4.868.322. safety stock atau persediaan pengamanan pada setiap kali melakukan stok barang sebanyak 30  dan reoder point atau titik pemesanan kembali pada lead time tercepat 3 hari sebanyak  32 , sedangkan untuk lead time terlama 7 hari sebanyak 71 .
Klasifikasi Mazhab Menggunakan Metode Naïve Bayes (Studi Kasus: Salat) Siti Ummi Masruroh; Siti Hanna; Nadia Azza; Kamarusdiana Kamarusdiana; Nanda Alivia Rizqy Vitalaya
JEPIN (Jurnal Edukasi dan Penelitian Informatika) Vol 8, No 1 (2022): Volume 8 No 1
Publisher : Program Studi Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26418/jp.v8i1.51418

Abstract

Salat dimulai dengan gerakan takbir dan diakhiri dengan gerakan salam berdasarkan rukun dan syarat pada ketentuan hukum Islam. Dunia fikih penuh dengan perbedaan pendapat, termasuk dalam pembahasan salat. Perbedaan dalam fikih terwujud dalam bentuk mazhab-mazhab. Sebagai umat islam dianjurkan untuk mengetahui mazhab siapa yang diterapkandalam beribadah kepada Allah SWT. Klasifikasi fikih dalam salat bertujuan untuk mengetahui kecenderungan mazhab yang diikuti oleh seseorang.Naïve Bayes adalah salah satu jenis metode untuk melakukan klasifikasi data. Penelitian ini akan membuat suatu aplikasi pengklasifikasian mazhab fikih salat yang berbasis android dengan 4 mazhab dan menggunakan metode naïve bayes. Sistem ini dibangun dengan Flutter dan database MySQL. Teknologi aplikasi mobile android ini diharapkan dapat memberikan solusi alternatif untuk mengklasifikasikan mazhab dalam fikih salat. Teknik pengujian dilakukan dengan pengujian alpha oleh user (ustadz) dan uji akurasi sistem dilakukan dengan membandingkan hasil antara perhitungan manual dan perhitungan oleh sistem yang dibuat. Pengujian alpha menunjukkan hasil bahwa aplikasi mampu bekerja dengan baik, dan sesuai dengan pengujian akurasi yang menunjukkan akurasi sistem pada aplikasi adalah 100%.
DESIGN OF AN AUTOMATIC STERILIZATION GATE TOOL USING PIR MOTION SENSOR Amrullah, Faiq Fawwaz; Khairani, Dewi; Masruroh, Siti Ummi
Jurnal Pilar Nusa Mandiri Vol 17 No 1 (2021): Pilar Nusa Mandiri : Journal of Computing and Information System Publishing Peri
Publisher : LPPM Universitas Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/pilar.v17i1.1937

Abstract

This automatic sterilization gate tool is a simple tool that changes the manual method to a systemized and more efficient way. This tool uses an infrared motion sensor in which there is a main component, namely the PIR (Pyroelectric Infra-Red) sensor, which is a material that reacts to radiation and movement in front of it. This tool also uses a 12v dc pump which is used to draw out the disinfectant liquid stored in the container. This gate tool is designed using the main material and some additional materials, the automatic gate can discharge about 11 seconds of liquid from objects or people that pass through the sensor range, 11 seconds is the minimum time for this tool to work while a distance of 6 meters is the range from where the sensor is located. From that time it proved that this gate tool has 100% accuracy and runs well. This gate tool is used every day, turned on from the morning, and turned off at night. Every 17.00 hours this gate tool is always replenished with supplies of disinfectant liquid. The automatic gate has helped the community to reduce the risk of transmission of the coronavirus, it also raises the awareness of the covid-19 pandemic. The whole system is implemented and is tested for real-time operation. It is found working satisfactorily. The gate tool can be further improved by adding a scanning device to perform tracing for passersby.
Performance comparison of the Naive Bayes algorithm and the k-NN lexicon approach on Twitter media sentiment analysis Azhar, Azhar; Masruroh, Siti Ummi; Wardhani, Luh Kesuma; Okfalisa, Okfalisa
Science, Technology and Communication Journal Vol. 3 No. 2 (2023): SINTECHCOM Journal (February 2023)
Publisher : Lembaga Studi Pendidikan and Rekayasa Alam Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59190/stc.v3i2.229

Abstract

Sentiment analysis or opinion mining is a natural language that processes words to find out opinions, attitudes, or moods about certain things. Word processing in this study related to the process of classification in textual documents, which was classified into three classes, positive, negative, and neutral. Data obtained from social media Twitter were related to netizens' comments as many as 1000 comments. These data were crawled using keywords of the “Pilpres2019” and “Jokowi”. This study compared the performance of the Naive Bayes and k-Nearest Neighbor (k-NN) algorithms with the lexicon approach in classification. The aim of this study was to compare the level of accuracy, precision, and recall of Naive Bayes and the k-NN algorithm with the lexicon approach. From the evaluation, we concluded that the combination of the k-NN algorithm and the lexicon approach could improve accuracy in this sentiment analysis case. Generally, the k-NN algorithm with lexicon approach in which the k value is k = 5 has better performance with a 77% of accuracy level, followed by Naive Bayes with an accuracy of 81% of accuracy level.
Transformer Architectures for Automated Brain Stroke Screening from MRI Images Abstract Sukmana, Husni Teja; Hasibuan, Zainal Arifin; Rahman, Abdul Wahab Abdul; Bayuaji, Luhur; Masruroh, Siti Ummi
Journal of Applied Data Sciences Vol 6, No 2: MAY 2025
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/jads.v6i2.736

Abstract

Early and accurate detection of stroke is critical for timely medical intervention and improved patient outcomes. This study explores the application of deep learning models, particularly the Vision Transformer (ViT), for the automated classification of brain stroke from medical images. A curated dataset of brain scans was used to train and evaluate the ViT model, which was benchmarked against a widely used convolutional neural network (CNN), ResNet18. Both models were trained using transfer learning techniques under identical preprocessing and training configurations to ensure fair comparison. The results indicate that the ViT model significantly outperforms ResNet18 in terms of validation accuracy, class-wise precision, and recall, achieving a peak accuracy of 99.60%. Visual analyses, including confusion matrices and sample prediction comparisons, reveal that ViT is more robust in detecting subtle stroke patterns. However, ViT requires more computational resources, which may limit its deployment in real-time or low-resource settings. These findings suggest that transformer-based architectures are highly effective for medical image classification tasks, particularly in stroke diagnosis, and offer a viable alternative to traditional CNN-based approaches.
Implementation of IoT Technology on MySmartTrash Waste Bank Application Viva Arifin; Siti Ummi Masruroh; Rizka Amalia Putri; Fitri Mintarsih; Nenny Anggraini; Nurhayati; Dewi Khairani
JURNAL TEKNIK INFORMATIKA Vol. 18 No. 2: JURNAL TEKNIK INFORMATIKA
Publisher : Department of Informatics, Universitas Islam Negeri Syarif Hidayatullah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15408/jti.v18i2.46673

Abstract

The effectiveness of Waste Bank in addressing national waste management challenges is limited by inherent shortcomings. Conventional processes, which heavily rely on manual labor and record-keeping, often face logistical challenges and inefficiencies that limit the effectiveness of waste banks. This paper presents the MySmartTrash application, a solution that integrates IoT technology to enhance waste management practices through a smart waste bank system. By utilizing IoT-enabled sensors, the application allows users to monitor waste levels in real time, thereby optimizing waste collection processes and promoting effective waste segregation. This study employed IoT Design Methodology and Prototyping. Through a SWOT analysis of existing waste management applications, the research identifies strengths and opportunities for enhancing waste management systems. Usability testing also highlighted the significance of various features. This study offers insights for future research into IoT applications in environmental sustainability and waste management systems.
Peran Kepuasan dan Kemudahan terhadap sikap Pengguna E-Learning pada Sistem Informasi Akademik (AIS) Nurbojatmiko, Nurbojatmiko; Amrizal, Victor; Nanang, Herlino; Masruroh, Siti Ummi; Putri, Rizka Amalia
Jurnal Ilmiah FIFO Vol 15, No 1 (2023)
Publisher : Fakultas Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/fifo.2023.v15i1.004

Abstract

Tujuan dari penelitian ini persepsi mahasiswa terhadap e-learning di Universitas Islam Negeri Syarif Hidayatullah dari sisi kepuasan dan kemudahan terhadap sikap pengguna E-Learning pada Sistem Informasi Akademik. Penelitian ini mengambil sampel mahasiswa Program Studi Teknik Informatika. Penelitian deskriptif ini dilakukan dengan menggunakan teknik kuesioner terhadap mahasiswa yang lebih mahasiswa teknik informatika Universitas Islam Negeri Syarif Hidayatullah. Penelitian ini menggunakan pendekatan kuantitatif purposive ransom sampling sebanyak 100 orang mahasiswa. Hasil analisis yang telah dilakukan menunjukkan 78% mahasiswa sistem e-learning, selebihnya hanya sekedar tahu dan cukup tahun dengan 16% dan 6%. Selain itu dari sisi kepuasan dan kemudahan terhadap sikap pengguna e-learning dapat di gambarkan bahwa akses terhadap ilmu pengetahua mempengaruhi kepuasan pengguna, begitu interaksi sosial dan efektifitas berpengaruh langsung terhadap penggunaan e-learning. Penelitian ini memberikan kontribusi pengetahuan tentang penggunaan e-learning pada institusi pendidikan dari kepuasan dan sikap pengguna. Dengan memperluas pemahaman tentang pengaruh sikap dan kepuasan serta kemudahan terhadap penggunan e-learning.
Performance Comparison of AODV and AOMDV Protocol Routing with TCP and UDP on Mobile Ad-Hoc Network (Manet) Using Malicious Node (Blackhole Attack) Faizah, Nurul; Masruroh, Siti Ummi; Armenia, Ivan Gustra Manca
MULTINETICS Vol. 5 No. 2 (2019): MULTINETICS Nopember (2019)
Publisher : POLITEKNIK NEGERI JAKARTA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32722/multinetics.v5i2.1447

Abstract

Transmission package delivery can be a problem of routes on the network, one of them is the Wireless network. Mobile Ad-Hoc Network (MANET) topology is often used on Wireless networks. The existence of a malicious node is a threat to MANET. Package delivery uses AODV and AOMDV Protocol Routing in TCP and UDP packet transmission. This study uses a simulation method using NS2, NAM and AWK. The Quality of Service (QoS) parameters used are throughput, packet loss, and jitter. Simulations are carried out using malicious nodes, the results on the AOMDV TCP graph have the highest input values and the best packets but are difficult to minimize energy, while for the TCP jitter values graph is best because it has a flow control function that can adjust the trajectory. The results in AOMDV TCP have the highest input value and the best packet loss but it is difficult to minimize energy, while for TCP value jitters it is best because it has a flow control function that can adjust the trajectory
The Effect of Social Support and Self-Efficacy on Interest in Arabic Learning for College Students Iska, Zikri Neni; Fahmi, Kaula; Amyn, Ilham Maulana; Masruroh, Siti Ummi
Arabiyat : Jurnal Pendidikan Bahasa Arab dan Kebahasaaraban Vol. 10 No. 1 (2023)
Publisher : Syarif Hidayatullah State Islamic University of Jakarta, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15408/a.v10i1.30409

Abstract

This study aims to determine the effect of social support and self-efficacy on interest in learning Arabic in students of the general faculty of UIN Jakarta. This study used quantitative research method, and the population were students of general studies at UIN Jakarta. The samples used in this study were 152 students of the General Study Program of UIN Jakarta. The sampling technique in this study uses a non-probability sampling technique. The measuring tools used in this study are the interpersonal support evaluation list – shortened version, (GSES-12), and Interest in Academic Domain. Test the validity of the measuring instrument used using the (CFA) technique. The results of the hypothesis test show that the value of R Square = 0.50, which means that the proportion of the variance of interest in learning Arabic which is explained by all independent variables is 50.3%, while the other 49.7% is influenced by other variables not examined. Two variables positively and significantly affect interest in learning Arabic, namely tangible support and self-efficacy.
Co-Authors Aditya Mirza Bahari Ahmad Akmaluddin Ahmad Arya Swaraja Ahmad Mukhlis Jundulloh Amrullah, Faiq Fawwaz Amyn, Ilham Maulana Andrew Fiade Arini Arini Arini Arini Arini Arini Ariq Cahya Wardhana Armenia, Ivan Gustra Manca Asep Taufik Muharram Azhar Azhar Fatir, Luthfi Ikmal Fitri Mintarsih Galang Ardian Sugianto Hapsari Tiaraningtias Hendra Bayu Suseno Hendra Bayu Susueno Herlino Nanang Husni Teja Sukmana Ilham Maulana Amyn Imam Tri Wibowo Iska, Zikri Neni I’im Umamil Khoiri Kamarusdiana Kamarusdiana Karimi, Husain Faiz Kaula Fahmi Khairani, Dewi Luh Kesuma Wardhani Luhur Bayuaji, Luhur Luigi Ajeng Pratiwi Miftakhul Nuuril Azizah Muhamad Nur Gunawan Muhammad Ammaridho Romdhan Siregar Muhammad Ikhsan Tanggok Muhammad Yusuf Nurpariz Munthaha, Firman Muzaki, Muhamad Azka Nadia Azza Nafdik Zaydan Raushanfikar Nanda Alivia Rizqy Vitalaya Nenny Anggraini Nenny Anggraini Nenny Anggraini, Nenny Nurbojatmiko Nurbojatmiko, Nurbojatmiko Nurhayati NURUL FAIZAH Okfalisa Okfalisa Purnomo, Raihan Ade putri, amanda Putri, Rizka Amalia Rahman, Abdul Wahab Abdul Rizka Amalia Putri Rizka Amalia Putri Rohman, Mazda Muhammad Fadlur Rohmatunisa, Nasya Rona Nisa Sofia Amriza Shofi, Imam Marzuki Siti Hanna Syahid, Muhammad Fikri Titi Farhanah Velia Handayani Victor Amrizal Viva Arifin Viva Arifin Wisnu Ari Mukti Zainal Arifin Hasibuan