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Stemming Kata Berimbuhan Tidak Baku Bahasa Indonesia Menggunakan Algoritma Jaro-Winkler Distance Mudawil Qulub; Ema Utami; Andi Sunyoto
Creative Information Technology Journal Vol 5, No 4 (2018): Agustus - Oktober
Publisher : UNIVERSITAS AMIKOM YOGYAKARTA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24076/citec.2018v5i4.218

Bahasa merupakan media untuk mengekspresikan keinginan, gagasan, dan perasaan. Dalam kaitannya dengan bahasa indonesia, bahasa dapat mencerminkan prilaku dalam sebuah masyarakat. Bahasa indonesia dapat digunakan secara formal maupun non-formal. Bahasa non-formal berbentuk kata tidak baku yang biasanya digunakan dalam komentar atau posting dalam media sosial. Salah satu contoh kata tidak baku adalah “nemenin” yang kata formalnya “menemani” dan kata dasarnya adalah “teman”. Dalam penelitian ini akan dilakukan pengujian akurasi algoritma Jaro-Winkler distance dalam mengubah kata imbuhan tidak baku menjadi bentuk dasarnya, proses ini disebut dengan stemming. Penelitian ini menggunakan data sebanyak 60 kata berimbuhan tidak baku. Hasil pengujian menunjukkan tingkat akurasi algoritma Jaro-Winkler sebesar 85% atau 51 kata berhasil di-stemming (3 overstemming, 6 unstemming, 0 understemming).Kata Kunci—Kata Imbuhan Tidak Baku, Stemming, Jaro-Winkler DistanceLanguage that represents the media to attract interest, regulate, and feel. In reversing it with Indonesian, language can reflect behavior in a society. Indonesian can be used formally or informally. Non-formal language in the form of non-formal words used in comments or posts on social media. One example of a non-formal word is "accompanying" the formal word "accompany" and the basic word is "friend". In this research, the Jaro-Winkler algorithm will be tested the distance in changing non-formal affix words into a form of interaction, this process is called stemming. This research uses data as many as 60 words that are not standardized. The test results show the level of testing of the Jaro-Winkler algorithm is 85% or 51 words successfully stemmed (3 overstemming, 6 unstemming, 0 understemming).Keywords— Non-Formal Affix, Stemming, Jaro-Winkler Distance

Kombinasi Metode Kriptografi Subsitusi Dalam Pengaman Pesan dan Informasi Muhammad Azwar; Mudawil Qulub; Fatimatuzzahra Fatimatuzzahra
ICIT Journal Vol 8 No 2 (2022): Agustus 2022
Publisher : UNIVERSITAS RAHARJA

Keamanan data dan informasi menjadi suatu hal yang sangat penting agar tidak disalahgunakan oleh oknum-oknum yang tidak bertanggungjawab. Penyalah gunaan datatersebut dapat merugikan pemilik asli dari data tersebut. Untuk mengatasi hal tersebut terdapat beberapa metode yang dapat digunakan seperti metode kriptografi. Kriptografi merupakan suatu metode yang digunakan untuk menyembunyikan informasi dengan cara mengenkripsi informasi tersebut . Hasil enkripsi akan sulit dipahami bagi mereka yang tidak mengetahui kunci dan metodenya. Kriptografi yang digunakan pada penelitian ini adalah kriptografi subsitusi. Penelitian ini bertujuan untuk mengamankan pesan dan informasi dengan menggunakan kriptografi substitusi Vigenere dan Caesar cipher. Penelitian ini dilakukan dengan menggunakan 3 kunci dimana 2 kunci ditentukan oleh pengguna dan 1 kunci merupakan hasil dari Vigenere. Penelitian ini berhasil mengkombinasikan metode Vigenere dan Caesar cipher untuk menghasilkan ciphertext yang sulit dipahami. Pesan dan informasi yang dihasilkan setelah enkripsi tidak menampilkan isi yang sebenarnya, sehingga untuk mengetahui isi sebenarnya pengguna harus melakukan dekripsi dengan kunci yang sesuai. Kata Kunci—Kriptografi, Vigenere, Substitusi, Caesar Cipher

Perancangan Aplikasi Pengolahan Data Kelompok Tani Ternak Provinsi NTB Muhamad Azwar; Syahrir Moch. Syahrir; Mudawil Mudawil Qulub
Bakti Sekawan : Jurnal Pengabdian Masyarakat Vol 2 No 1 (2022): Juni
Publisher : Puslitbang Sekawan Institute Nusa Tenggara

The Department of Animal Husbandry and Animal Health is one of the government agencies of West Nusa Tenggara Province which has the task of improving the welfare of the community and reducing poverty in West Nusa Tenggara Province by providing grants in the form of livestock assistance or other assistance, assistance is given to livestock farmer groups in all regencies/cities throughout the province. -NTB has criteria that have been determined by the Animal Husbandry and Animal Health Service of the Province of NTB, the assistance provided is sourced from the Provincial Revenue and Expenditure Budget (APBD) and the State Revenue and Expenditure Budget (APBN), because the process of providing assistance through the selection of submitted proposals manually by livestock farmer groups with three processes that become important points, namely recapitulation, validation and verification which takes a long time and the lack of information related to the development of livestock farmer groups in all regions of NTB that have received assistance, therefore an application or application is needed. u an information system that can assist the Department of Animal Husbandry and Animal Health of the Province of NTB in processing livestock farmer group data, ranking as a good decision maker..

Penyuluhan Kefarmasian dan Pemeriksaan Kesehatan di Desa Gegelang, Lombok Barat Indriani, Nurul; Qomaliyah, Eka Nurul; Ramandha, Muhammad Eka Putra; Kresnapati, I Nyoman Bagus Aji; Ramadhani, Muhammad Wisda Pradja; Mudawil Qulub
Jurnal Ilmiah Pengabdian dan Inovasi Vol. 1 No. 3 (2023): Jurnal Ilmiah Pengabdian dan Inovasi (Maret)
Publisher : Insan Kreasi Media

The incidence of degenerative diseases is increasing every year. Degenerative diseases are caused by decreased organ function not only due to age but also due to lifestyle factors such as eating patterns, stress levels, and a history of other diseases. This community service is carried out in Gegelang Village, West Lombok, Indonesia. The aims of this community service are to detect degenerative diseases early and to provide an understanding of prevention to management as a preventive measure for several degenerative diseases. Methods used in these activities include providing free health checks, followed by health education training. Gegelang village received health education training on the causes and treatment of degenerative diseases specifically obesity, diabetes mellitus, hypertension, and uric acid. Health checks specifically that included measuring body mass index, checking blood pressure, blood sugar levels, and uric acid level. Of the 68 villagers who took part in the body mass index examination, the percentages of underweight, normal, overweight, and obesity types 1 and 2 were 5.89%, 23.53%, 22.06%, 29.41%, and 19.11%, respectively. Meanwhile, systolic blood pressure greater than 140 mmHg was 22.06%, and diastolic blood pressure greater than 90 mmHg was 11.27%. Examination of blood sugar during normal classification, high blood sugar levels at risk, and indications of diabetes in 58%, 23%, and 11%. The amount of uric acid included in the high classification is only 11%. Improving the quality of health, early detection, and management of degenerative diseases is urgently needed.

DETECTION OF CHILDREN'S NUTRITIONAL STATUS USING MACHINE LEARNING WITH LOGISTIC REGRESSION ALGORITHM Yuliana Yuliana; Paradise Paradise; Mudawil Qulub
JURTEKSI (Jurnal Teknologi dan Sistem Informasi) Vol 10, No 2 (2024): Maret 2024
Publisher : STMIK Royal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33330/jurteksi.v10i2.2973

Abstract: Children's nutritional issues are an important concern for parents to pay attention to growth and development, especially health and well-being. According to the results of the Ministry of Health's Indonesian Nutrition Status Survey (SSGI), there are 4 nutritional problems for children in Indonesia, namely stunting, wasting, underweight and everweight. In this research, how to predict signs of symptoms of a decline in a child's nutritional status using a machine learning algorithm, a prediction model was designed using logistic regression in Python IDE to predict whether a child is indicated by a decline in nutrition or not. Dataset from Bengkayang Community Health Center data consisting of 657 pediatric patient data. The dataset is divided into 7 features (independent variables) and 1 predictor (dependent variable). Test results show perfect performance with precision, recall, F1-score, accuracy values of 100%. Then the visualization results on the ROC (Receiver Operating Characteristic) curve to depict the TP (True Positive) value on the Y axis against the FP (false Positive) value on the become overfit. It is recommended that in preparing the training dataset, measure the training data and reduce the features, after carrying out feature selection to increase the accuracy of the model. Keywords: child nutritional status; growth and development logistic regression; machine learning Abstract: Masalah Gizi anak menjadi perhatian penting bagi orangtua untuk memperhatikan tumbuh kembang, terutama kesehatan dan kejahteraan. Menurut hasil survei status Gizi Indonesia (SSGI) Kemenkes memperlihatkan 4 permasalahan gizi anak di Indonesia yaitu stunting, wasting, underweight, dan everweight. Dalam penelitian ini, bagaimana memprediksi tanda gejala penurunan status gizi anak menggunakan algoritma machine learning dirancang model prediksi menggunakan logistic regression pada Python IDE dengan memprediksi anak terindikasi penurunan gizi atau tidak. Dataset dari data Puskesmas Bengkayang yang terdiri 657 data pasien anak. Dataset dibagi menjadi 7 feature (variabel independen) dan 1 predictor (variabel dependen). Hasil Pengujian memperlihatkan kinerja yang sempurna dengan nilai presisi, recall, F1-score, akurasi, sebesar 100%. Kemudian hasil Visualisasi pada kurva ROC (Receiver Operating Characteristic) untuk menggambarkan nilai TP (True Positif) di sumbu Y terhadap nilai FP (false Positif) di sumbu X juga menunjukkan nilai yang sangat tinggi dan sudah mendekati angka 1 ini pertanda bahwa model ini menjadi overfit. Sebaiknya dalam persiapan training dataset diukur dengan data training dan mengurangi feature, setelah melakukan feature Selection untuk meningkatkan akurasi model. Keywords: logistic regression; machine learning; status gizi anak; tumbuh kembang

DETEKSI WAJAH MENGGUNAKAN ALGORITMA VIOLA JONES BERBASIS ANDROID Vera Wati; Yuliana, Yuliana; Nisrina Yulia Setyowati; Mudawil Qulub
TEKNIMEDIA: Teknologi Informasi dan Multimedia Vol. 4 No. 1 (2023): Juni 2023
Publisher : Badan Penelitian dan Pengabdian Masyarakat (BP2M) STMIK Syaikh Zainuddin NW Anjani

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46764/teknimedia.v4i1.92

ABSTRACT The face is a source of biometric technology that characterizes the body parts attached to a person, which is often the object of research in the field of digital image processing. Facial bio-metric technology has been widely used in various electronic devices for facial recognition. However, the first step in facial biometrics is face detection. The purpose of face detection is to find facial areas in the image. Face detection is done by using a computer process in learning to recognize certain features, such as facial features, eyes, nose position, and lip shape. The computer will present a face image in the form of a two-dimensional matrix or more. The goal is to find out whether or not there is a face on an object in security verification. So, research related to face detection is a fundamental topic and plays an important role in the development of biometric technology. This study applies the Viola-Jones method to detect the presence of a human face with a variety of facial poses and accessories that are often worn on the face. This method has high accuracy and simple feature classification. This method does not use pixels directly in classifying images but instead uses the Haar feature to combine Integral Image and AdaBoost Machine Learning calculations to form a Cascade Classifier so that the results for the presence of faces are obtained. The research implementation uses Android and face detection is taken from screenshots stored on the Android device. The results of testing with an accuracy rate of up to 95.38% with an upright face position facing the camera and images with accessories an accuracy rate of up to 72.47%. This shows that the use of accessories can cover some facial features, thus making it difficult for the face detection algorithm to recognize faces accurately. Keywords: Android, Face Detection, Face Variation, Viola Jones

Improvement of Spelling Correction Accuracy in Indonesian Language through the Application of Hamming Distance Method Qulub, Mudawil; Hammad, Rifqi; Irfan, Pahrul; Yuliana, Yuliana
Journal of Applied Informatics and Computing Vol. 7 No. 2 (2023): December 2023
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v7i2.5926

Spelling correction is a critical feature in software to reduce typing errors, commonly found in document processing software and smartphone keyboards. This research aims to evaluate the accuracy of the Hamming Distance method in correcting words in the Indonesian language, both standard and non-standard forms. The research data is derived from a previous study and comprises 60 standard and non-standard Indonesian words. Typos are generated by considering the layout of letters on the QWERTY keyboard. Typing error data is divided into two groups, namely words with 1 and 2 character differences. The first test is conducted on standard words, achieving an accuracy rate of 98.33% for 1 and 2 character differences. Subsequent testing on non-standard words shows an accuracy rate of 100% for 1 character difference and 96.67% for 2 character differences. The results of this research highlight the potential of the Hamming Distance method in improving the quality of spelling correction in the Indonesian language.

IMPLEMENTASI ALGORITMA DEPTH-FIRST SEARCH DAN BREADTH-FIRST SEARCH PADA DOKUMEN AKREDITASI Yuliana Yuliana; Noviyanti Noviyanti; Mudawil Qulub
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol 7, No 1 (2024): February 2024
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v7i1.1733

Sistem arsip dokumen dapat digunakan sebagai media penyimpanan data untuk memudahkan persiapan proses asesmen lapangan untuk akreditasi. Mekanisme pencarian data merupakan bagian penting dalam arsip digital. Dengan menggunakan Teknologi Kecerdasan Buatan dalam teknik pencarian yaitu depth-first search dan breadth-first search. Kedua metode ini dipadukan untuk menyelesaikan permasalahan yang tentunya mempunyai kelebihan dan kekurangan. Sistem dokumen digital dapat melakukan proses pencarian, penyampaian, pemantauan dan pengambilan data. Dalam proses pengujian dan mekanisme analisa pencarian data, sistem menerapkan output teknik penggabungan/kolaborasi dari depth-first search dan breadth-first search yang diakhiri melalui penemuan mendalam ke dalam database untuk menyesuaikan parameter hingga ditentukan query untuk mengeksekusi hasil keluaran parameter dan kemudian umpan balik diberikan kembali ke sistem. Topik penelitiannya ini menemukan jalur cepat akreditasi penyimpanan dokumen arsip dengan teknik penggabungan algoritma yang bisa digunakan dalam menemukan rute cepat pada saat menemukan tujuan tertentu. Rekomendasi pada penelitian yang ingin mendalami topik yang sama adalah dengan menggabungkan tambahan algoritma lain, yaitu teknik blind search pada Artificial Intelligence.

OPTIMALISASI USAHA EKONOMI KREATIF PADA ERA REVOLUI INDUSTRI 4.0 MELALUI IMPLEMENTASI TEKNOLOGI DIGITAL DI SMK NEGERI 5 MATARAM Zahrah, Zahrah; Widyati, Baiq Dinna; Qulub, Mudawil; Budiarta, Meiza Ariya; Alfia, Kharunia
JCES (Journal of Character Education Society) Vol 8, No 1 (2025): Januari
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/jces.v8i1.28784

Abstrak: SMKN 5 Mataram, merupakan salah satu sekolah kejuruan di Kota Mataram yang memproduksi produk dengan unsur nilai budaya yang berpotensi untuk mencapai pasar nasional dan mancanegara. Namun, SMKN 5 Mataram belum konsisten dalam menawarkan produknya secara lingkup nasional dan mancanegar disebabkan karena keterbatasan mereka dalam mempromosikan dan mengenalkan produk yang dihasilkan dapat diakses dari luar daerah bahkan internasional. Ditambah kurangnya kemampuan sumber daya manusianya dalam membuat dan mengelola website dan sosial media atau marketplace, minimnya kemampuan pengambilan foto/video untuk mengisi website galeri usaha yang dihasilkan. Untuk itu diperlukannya upaya untuk meningkatkan kemampuan siswa dan juga sekolah. Salah satunya yakni melalui implementasi teknologi digital pada usaha ekonomi kretif. Tujuannya agar siswa atau sekolah dapat memaksimalkan pemamfaatan teknologi terhadap pemasaran dan e-niaga sebagai media untuk memperluas jangkauan pasarnya. Hal ini sejalan dengan keinginan Menteri Pendidikan dan Kebudayaan Nadiem Makarim untuk mengimplementasikan teknologi dan digital dalam kurikulum 5.0. Dalam pelaksanaannya pelaksanaan kegiatan ini akan dibagi menjadi tiga tahap dan dilaksanakan dalam waktu tiga pertemuan dengan pendekatan persuasif dan interaktif (timbal balik). Hasil kegiatan pelatihan ini mampu memberikan wawasan lebih banyak mengenai bagaimana melakukan ekspor barang, peningkatan kualitas konten dan pemanfaatan teknologi digital berupa pengelolaan media sosial dan website khususnya.Abstract: SMKN 5 Mataram is one of the vocational schools in Mataram City that produce cultural products with the potential to reach national and international markets. However, the school has not been consistent in offering its products nationally and internationally due to its limitations in promoting and introducing products that can be accessed from outside the region and even internationally. The institution's capacity to create and manage websites, social media, and marketplaces is deficient, as is its capability to produce visual content, such as photographs and videos, to populate the business gallery website.To address these limitations, there is an imperative for enhancing the competencies of students and schools.A proposed solution involves the integration of digital technology into creative economic initiatives. The objective is to empower students and schools to leverage technology for marketing and e-commerce purposes, thereby expanding their market reach. This objective is consistent with the Minister of Education and Culture, Nadiem Makarim's vision for the integration of technology and digital elements into the 5.0 curriculum.The implementation of this activity will be meticulously structured into three phases, spanning three meetings, employing a persuasive and interactive approach. The training activity is expected to yield several key outcomes, including a deeper understanding of strategies for enhancing the quality of exported goods and leveraging digital technologies for effective management of social media and websites.

PERANCANGAN APLIKASI PENGOLAHAN DATA KELOMPOK TANI TERNAK PROVINSI NTB Azwar, Muhamad; Moch. Syahrir; Mudawil Qulub
Bakti Sekawan : Jurnal Pengabdian Masyarakat Vol. 2 No. 2 (2022): Desember
Publisher : Puslitbang Sekawan Institute Nusa Tenggara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35746/bakwan.v2i2.209

The Department of Animal Husbandry and Animal Health is one of the government agencies of West Nusa Tenggara Province which has the task of improving the welfare of the community and reducing poverty in West Nusa Tenggara Province by providing grants in the form of livestock assistance or other assistance, assistance is given to livestock farmer groups in all regencies/cities throughout the province. -NTB has criteria that have been determined by the Animal Husbandry and Animal Health Service of the Province of NTB, the assistance provided is sourced from the Provincial Revenue and Expenditure Budget (APBD) and the State Revenue and Expenditure Budget (APBN), because the process of providing assistance through the selection of submitted proposals manually by livestock farmer groups with three processes that become important points, namely recapitulation, validation and verification which takes a long time and the lack of information related to the development of livestock farmer groups in all regions of NTB that have received assistance, therefore an application or application is needed. u an information system that can assist the Department of Animal Husbandry and Animal Health of the Province of NTB in processing livestock farmer group data, ranking as a good decision maker..

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