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All Journal JURNAL MATEMATIKA STATISTIKA DAN KOMPUTASI al-Afkar, Journal For Islamic Studies International Journal of Computing Science and Applied Mathematics Zeta - Math Journal JUTIS : Jurnal Teknik Informatika Well Being Action Research Literate (ARL) Prosiding Seminar Nasional Pengabdian Kepada Masyarakat Nanggroe: Journal Of Scholarly Service Madani: Jurnal Pengabdian Masyarakat dan Kewirausahaan Kultura: Jurnal Ilmu Sosial dan Humaniora Nanggroe: Journal of Scholarly Service Journal of Computer Science Contributions (Jucosco) Seminar Nasional Riset dan Teknologi (SEMNAS RISTEK) Jurnal Pengabdian Masyarakat Al-Fatimah
Siti Khotijah
Universitas Annuqayah, Sumenep, Indonesia
Religion Agriculture, Biological Sciences & Forestry Humanities Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Medicine & Pharmacology Neuroscience Nursing Public Health Social Sciences Other

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Application of Daubechies Wavelet Transformation for Noise Rain Reduction on the Video Siti Khotijah; Dwi Ratna Sulistyaningrum
(IJCSAM) International Journal of Computing Science and Applied Mathematics Vol 5, No 1 (2019)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1646.066 KB) | DOI: 10.12962/j24775401.v5i1.3549

Abstract

Currently, the use of digital video in the field of computer science is increasingly widespread, such as the process of tracking objects, the calculation of the number of vehicles, the classification of vehicle types, vehicle speed estimation and so forth. The process of taking digital video is often influenced by bad weather, such rain. Rain in digital video is considered noise because it is able to block objects being observed. Therefore, a rainfall noise reduction process is required in the video. In this study, the reduction of rain noise in digital video is using Daubechies wavelet transformation through several processes, namely: wavelet decomposition, fusion process, thresholding process and reconstruction process. The threshold value used in the thresholding process is VishuShrink, BayesShrink, and NormalShrink. The result of the implementation and noise reduction test show that Daubechies db2 level 3 filter gives the result with the biggest PSNR value. As for the type of threshold that provides optimal results is VishuShrink.
Pelatihan Penulisan Persamaan Matematika dengan Equation Editor Microsoft Office Word di Desa Pragaan Daya Sumenep Siti Khotijah; Luluk Sarifah; Ulfatul Husna; Dina Raudhatul Jannah
PROSIDING SEMINAR NASIONAL PENGABDIAN KEPADA MASYARAKAT UNIVERSITAS NAHDLATUL ULAMA SURABAYA Vol. 2 No. 1 (2022): Prosiding Seminar Nasional Pengabdian Kepada Masyarakat : BERKARYA DAN MENGABDI
Publisher : Universitas Nahdlatul Ulama Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (366.753 KB) | DOI: 10.33086/snpm.v2i1.959

Abstract

Membuat sebuah naskah dan dokumen memang mudah untuk dilakukan dengan Microsoft Office. Namun, jika suatu saat kita harus menuliskan suatu rumus saat pembuatan dokumen, Equation editor merupakan solusi supaya kita dapat memproses dokumen yang ingin dibuat dengan tambahan seperti pecahan, akar kuadrat, sigma. Equation editor adalah sebuah fitur yang memiliki kemampuan untuk memasukkan dan mengatur rumus secara mudah pada Micorosoft Office. Tombol ini biasanya digunakan dalam bidang perhitungan seperti matematika, kimia, teknik, fisika dan sebagainya. Berdasarkan hasil observasi, MA Hidayatul Ulum Pragaan Daya Sumenep merupakan lembaga pendidikan yang sebagian besar siswanya tidak memahami cara penulisan persamaan matematika, sehingga kami memberikan pelatihan persamaan penulisan matematika dengan Equation Editor Microsoft Office word. Pada pelatihan ini, metode yang digunakan berupa metode pendampingan dan pembimbingan pelatihan. Kegiatan pelatihan ini dikatakan berhasil karena 15 peserta dari 16 peserta mampu menuliskan persamaan matematika dengan baik dan benar. Luaran yang diperoleh dari pelatihan ini adalah menambah kemampuan keterampilan siswa MA Hidayatul Ulum Pragaan Daya Sumenep dalam pengetikan tugas ataupun jawaban ujian menggunakan komputer yang mengharuskan penulisan persamaan matematika.
Identification Of Hijaiyah Letters Image Using Extreme Learning Machine Method Luluk Sarifah; Siti Khotijah; Marinatul Khaliqah Khaliqah
Jurnal Matematika, Statistika dan Komputasi Vol. 20 No. 1 (2023): SEPTEMBER, 2023
Publisher : Department of Mathematics, Hasanuddin University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20956/j.v20i1.27158

Abstract

The development of digital image processing technology has many benefits, one of which is the identification of an object, such as the identification of the image of the hijaiyah letter. Hijaiyah letters are the letters of the arabic alphabet as the original language of the Qur'an. In essence, humans have the ability to recognize and distinguish hijaiyah letter patterns from one another, but this is not the case with computers, using digital images and machine learning, in this study an identification concept was built by recognizing the image of hijaiyah letters using one of the machine learning methods. namely the extreme learning machine (ELM) method. Extreme learning machine (ELM) is a feedforward neural network with one hidden layer or better known as single hidden layer feedforward neural networks (SLFNs). Therefore, the purpose of this study is that the computer can identify objects as well as human capabilities and see how accurate the results obtained in the ELM method are. The digital image identification process using the extreme learning machine (ELM) method is carried out in two stages, namely training and testing, where previously the preprocessing process was carried out first by changing the color of the RGB image to HSV and processing the color v, then segmentation was carried out with the aim of separating the objects (foreground) with the background, then to make it easier to recognize the pattern, a morphological process is carried out. From the simulation carried out on the test data, the results obtained an average accuracy of 90% with an error of 10%.
Implementasi Algoritma K-Nearest Neighbor (K-NN) dalam Mengklasifikasikan Berbagai Jenis Ekspresi Wajah Manusia Khaliqah, Marinatul; Sarifah, Luluk; Khotijah, Siti
Zeta - Math Journal Vol 9 No 1 (2024): Mei
Publisher : Universitas Islam Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31102/zeta.2024.9.1.10-20

Abstract

Ekspresi wajah manusia adalah bentuk respon alami yang ditunjukkan oleh manusia untuk memperlihatkan perasaan yang sedang dirasakan saat berinteraksi sosial, yang mana dalam berinteraksi sosial, kondisi emosi yang baik menjadi penting dalam menjalin komunikasi yang baik. Pentingnya penelitian terkait ekspresi wajah adalah membantu perkembangan teknologi di dunia dalam memainkan peran penting dalam interaksi komputer dan manusia. Adanya penelitian ini bertujuan untuk mengklasifikasikan ekspresi wajah manusia menggunakan algoritma K-Nearest Neighbor dengan dibantu ekstraksi ciri GLCM sebagai variabel yang dijadikan inputan pada proses klasifikasi. Pada penelitian ini dilakukan dua jenis pengujian, yaitu dengan jumlah data yang lebih banyak dan jumlah data yang lebih sedikit dengan penggunaan k=1, k=3, dan k=5 dengan tujuan mengetahui tingkat akurasi yang lebih baik dari algoritma K-Nearest Neighbor. Setelah dilakukan pengujian didapatkan hasil akurasi yang lebih baik dari algoritma K-Nearest Neighbor adalah dengan jumlah data yang lebih banyak dengan penggunaan k=1, yaitu dengan tingkat akurasi mencapai 100%. Jadi dapat disimpulkan bahwa algoritma K-Nearest Neighbor dapat mencapai akurasi terbaiknya dalam mengklasifikasikan jenis ekspresi wajah manusia adalah dengan pengujian data yang lebih banyak dan dengan penggunaan k=1.
Strengthening Digital Skills in Community Empowerment Through Online Marketing and Marketing Strategy Training Siti Khotijah; Luluk Sarifah; Dina Raudlatul Jannah; Ulfatul Husna
Jurnal Pengabdian Masyarakat Al-Fatimah Vol. 1 No. 1 (2024): Edisi Perdana, Juni 2024
Publisher : Institut Agama Islam Al-Fatimah Bojonegoro

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

Abstract

The gap in access to technology and community knowledge in Pragaan Daya village is a big challenge in efforts to strengthen digital skills through marketing training and online marketing strategies. The aim of this training is so that the people of Pragaan Daya Village can utilize digital technology in their daily economic activities. This activity was held on Saturday, August 20, 2022, at the Pragaan Daya Village hall and was attended by vocational and high school-level students and UMKM owners in Pragaan Daya Village. The methods used in this activity are seminars and training. The material in this training is an explanation of how an effective marketing strategy can make new products able to compete with products that have long been on the market, as well as practical steps and online marketing strategies. Strengthening digital skills provides benefits to the Pragaan Daya village community, including being able to more effectively promote their products and services, increase competitiveness, and expand market reach
Upaya Peningkatan Literasi Numerasi Siswa-Siswi MI dan MTs Melalui Penanaman Tanaman Obat Keluarga di Desa Cempaka Pasongsongan Sumenep Siti Khotijah; Luluk Sarifah; Prasanti Mia Purnama; Wildayatus Shofiyah
PROSIDING SEMINAR NASIONAL PENGABDIAN KEPADA MASYARAKAT Vol. 4 No. 2 (2024): Prosiding Seminar Nasional Pengabdian Kepada Masyarakat : Memaksimalkan Potensi
Publisher : Universitas Nahdlatul Ulama Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33086/snpm.v4i2.1412

Abstract

Literasi numerasi merupakan kemampuan menerapkan konsep angka dan keterampilan menghitung dalam kehidupan sehari-hari. Kondisi literasi numerasi siswa di Madrasah Ibtidaiyah (MI) dan Madrasah Tsanawiyah (MTs) Desa Cempaka, Kecamatan Pasongsongan, Kabupaten Sumenep, masih perlu ditingkatkan. Pengabdian ini bertujuan meningkatkan literasi numerasi siswa melalui kegiatan penanaman Tanaman Obat Keluarga (TOGA), yang melibatkan siswa-siswi MI dan MTs serta ibu-ibu PKK Desa Cempaka. Kegiatan dilaksanakan pada 08 September 2024, dengan metode seminar, praktik penanaman, pengamatan pertumbuhan tanaman, dan diskusi kelompok. Hasil dari kegiatan ini menunjukkan peningkatan signifikan pada kemampuan numerasi siswa, terutama dalam pengukuran dan penghitungan sederhana yang diterapkan selama penanaman. Selain itu, kemampuan literasi juga meningkat melalui pencatatan hasil pengamatan dan diskusi kelompok. Keterlibatan ibu-ibu PKK menambah dimensi pemberdayaan komunitas, memperkuat kolaborasi antar generasi. Pendekatan pembelajaran berbasis praktik yang menggabungkan literasi, numerasi, dan kegiatan penanaman TOGA berhasil memberikan dampak positif pada peningkatan keterampilan siswa dan memperkuat keterlibatan komunitas lokal.
A Robustness Study of Multi-Layer Perceptrons and Logistic Regression to Data Perturbation: MNIST Dataset Thahiruddin, Muhammad; Khotijah, Siti; Fajar, Moh.; Farras, Adib El
Zeta - Math Journal Vol 10 No 1 (2025): May
Publisher : Universitas Islam Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31102/zeta.2025.10.1.39-50

Abstract

This study systematically evaluates the robustness of Multi-Layer Perceptrons (MLPs) And Logistic Regression (LR) models against data pertubations using the MNIST handwritten digit dataset. While MLPs and LR are foundational in machine learning, their comparative resilience to diverse pertubations-noise, geometric distortions, and adversarial attacks-remains underexplored,despite implications for real-world applications with imperfect data., whe test three pertubations categories : Gaussian noise (σ=0.1 to 1.0), salt and pepper noise (p=0.1 to 0.5), rotational distorsions (5° to 30°), and adversial attacks (FGSM with ϵ=0.005 to0.30). both models were trained on 60.000 MNIST samples and tested on 10.000 pertubed images. Results demonstrate that MLPs exhibit superior robustness under moderate noise and rotations, achieving baseline accuracies of 97.07% (vs. LR’s 92.63%). For Gaussian noise (σ=0.5), MLP retained 35.35% accuracy compared to LR’s 23.91% . however, adversarial attacks (FGSM, ϵ= 0.30) reduced MLP accuracy to 0.20%, revealing critical vulnerabilities. Statistical analysis (paired t-test, p < 0.05) confirmed significant performance differences across pertubations levels. Alinear regressions (R^2 = 0.98) further quantified MLP’s predictable accuracy decline with Gaussian noise intensity. These findings underscore MLP’s suitability for noise-prone environments but highlight urgent needs for adversarial defense mechanisms. Practitioners are advised to prioritize MLPs for tasks with moderate distortions, while future work should integrate robustness enhancements like adversarial training.
Pengenalan Software Appy Pie Berbasis Android untuk Bahan Pembelajaran di TKQ Al-Falah Depok Khotijah, Siti; Juliana; Driyani, Dewi; Hartanti, Dian
Journal Of Computer Science Contributions (JUCOSCO) Vol. 5 No. 2 (2025): Juli 2025
Publisher : Lembaga Penelitian, Pengabdian kepada Masyarakat dan Publikasi Universitas Bhayangkara Jakarta Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31599/6atr3y02

Abstract

TKQ AL-Falah is located in Pancoran Mas Depok sub-district, a place of learning for kindergarten children, where currently the implementation of teaching and learning is still using traditional and manual methods which is less interesting teaching materials. It is not utilized on android in the teaching and learning process. Therefore, a form of learning is needed that provides a new color, by utilizing Appy Pie software which has easy-to-use features. By utilizing Appy Pie software, teachers can easily provide learning media to be more fun and diverse according to student needs. In this community service, the aim is to provide an introduction to Appy pie software which can later be applied using android to help teachers at TKQ in creating interesting and interactive teaching materials.
Pengaruh Penggunaan Media Sosial Tiktok Terhadap Etika Sopan Santun Siswa Kelas VIII A di SMPN 18 Singkawang Khotijah, Siti; Mabruri, Rohapik
Action Research Literate Vol. 9 No. 7 (2025): Action Research Literate
Publisher : Ridwan Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46799/arl.v9i7.2984

Abstract

Perkembangan teknologi digital, terutama media sosial seperti TikTok, telah membawa dampak signifikan terhadap perilaku dan interaksi sosial, khususnya di kalangan remaja. TikTok, sebagai platform yang populer di kalangan siswa, menawarkan berbagai konten hiburan dan kreatif, namun juga berpotensi memengaruhi etika sopan santun penggunanya. Fenomena ini terlihat pada siswa kelas VIII A di SMPN 18 Singkawang, di mana intensitas penggunaan TikTok yang tinggi dikhawatirkan berdampak negatif terhadap sikap dan perilaku mereka. Penelitian ini bertujuan untuk mengetahui apakah terdapat pengaruh penggunaan media sosial TikTok terhadap etika sopan santun siswa kelas VIII A di SMPN 18 Singkawang. Penelitian ini menggunakan pendekatan kuantitatif dengan metode korelasional. Populasi penelitian berjumlah 32 siswa, dan pengumpulan data dilakukan dengan menggunakan angket tertutup yang disusun berdasarkan indikator frekuensi penggunaan TikTok dan perilaku etika sopan santun. Hasil analisis regresi sederhana menunjukkan bahwa terdapat pengaruh negatif yang signifikan antara penggunaan media sosial TikTok terhadap etika sopan santun siswa. Hal ini ditunjukkan dengan nilai koefisien regresi sebesar -0,471 dan nilai signifikansi sebesar 0,010 (p < 0,05). Nilai koefisien determinasi (R Square) sebesar 0,203 menunjukkan bahwa 20,3% variasi dalam etika sopan santun siswa dapat dijelaskan oleh variabel penggunaan TikTok, sementara 79,7% sisanya dipengaruhi oleh faktor lain di luar penelitian ini. Implikasi dari temuan ini adalah perlunya pengawasan dan pembinaan karakter oleh guru dan orang tua dalam penggunaan media sosial di kalangan siswa, khususnya TikTok, agar tidak berdampak negatif terhadap sikap dan perilaku sopan santun mereka. Selain itu, sekolah diharapkan dapat mengintegrasikan nilai-nilai etika dalam kegiatan pembelajaran maupun bimbingan konseling.
Family Guidance in Efforts to Handle Middle Adult Women Who Decide to Postpone Marriage Awalia, Awalia; Siti Khotijah
al-Afkar, Journal For Islamic Studies Vol. 8 No. 3 (2025)
Publisher : Perkumpulan Dosen Fakultas Agama Islam Indramayu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31943/afkarjournal.v8i3.1625

Abstract

In this increasingly modern era, there are still women who decide to postpone marriage in order to pursue a career, continue their education, or become the backbone of the family and have not yet found the right partner. In this case, the family has an important role in providing guidance to women who decide to postpone marriage, namely in the form of advice and motivation about family life. In this case, family guidance is one strategy that can be used to deal with women who decide to postpone marriage in Pragaan Laok Village. The problems raised in this research are 1) What are the factors that cause middle-aged women to decide to postpone marriage in Dunglaok Hamlet, Pragaan Laok Village, Pragaan District, Sumenep Regency and 2) What is the family guidance model in an effort to handle middle-aged women who decide to postpone marriage in Dunglaok Hamlet, Pragaan Laok Village, Pragaan District, Sumenep. The approach in this research uses a qualitative approach with a case study type. The method used is observation and interviews. The informants in this study were 3 people who were family members and 4 women who decided to postpone their marriage. The validity of the data in this research is triangulation, namely triangulation of sources and techniques. The results of this research are: First, the factors that cause middle-aged women to decide to postpone marriage are wanting to be the backbone of the family, focusing on continuing their education at a higher level, focusing on a career so they can be independent and make their parents happy. And the second is a model of family guidance in an effort to deal with middle-aged women who decide to postpone marriage, namely providing advice on how to be a good wife and how to build a Sakinah Mawaddah Warahmah family and providing motivation that marriage is a complement to religion and morals.
Co-Authors Affifah, Ainyya Nur Ahmad Buchori Andani, Ristia Anik Malikah Asri Widiatsih Astuti, Siwi Puji Awalia, Awalia Dewi Driyani, Dewi Dian Hartanti Dida Rahmadanik Dina Raudhatul Jannah Dina Raudlatul Jannah Dwi Ratna Sulistyaningrum Endang Indartuti, Endang Faisol Faisol Fajar, Moh. Farras, Adib El Istiqomah, Nuril J, Juliana Juliana Juliana Juliana Junaidi Junaidi Karyati, Zetty Khaliqah, Marinatul Kustiyowati Kustiyowati Laksono, Puguh Luluk Sarifah Mabruri, Rohapik Marinatul Khaliqah Khaliqah Ma’ruf, Ridwan Maulana Muhamad Haikal Muhammad Thahiruddin Noviah, Noviah Nur Indah, Nur Prasanti Mia Purnama Raharjo, Yosafat Setyo RAMDAN, ADE SYAHRUL Rizka Rizka, Rizka Rusmardiana, Ana Samaniyah, Samaniyah Saragih, Tuty Kurniawaty Satria, M. Kurniawan Ade Siti Kamilah, Siti Ulfatul Husna Ulfatul Husna Wildayatus Shofiyah