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All Journal IJCCS (Indonesian Journal of Computing and Cybernetics Systems) ELEKTRO Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Informatika Pertanian Techno Nusa Mandiri : Journal of Computing and Information Technology ILKOM Jurnal Ilmiah KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) JURIKOM (Jurnal Riset Komputer) JOURNAL OF SCIENCE AND SOCIAL RESEARCH JPPM (Jurnal Pengabdian dan Pemberdayaan Masyarakat) METIK JURNAL Jurnal Informatika Kaputama (JIK) Jurnal Mantik Jusikom: Jurnal Sistem Informasi Ilmu Komputer Mulia International Journal in Science and Technical JATI (Jurnal Mahasiswa Teknik Informatika) Science Midwifery JUKI : Jurnal Komputer dan Informatika Jurnal Sistem Informasi dan Sains Teknologi Jurnal Teknik Informatika (JUTIF) Rambideun : Jurnal Pengabdian Kepada Masyarakat International Journal of Engineering, Science and Information Technology Jurnal Informatika dan Teknologi Komputer ( J-ICOM) Arsitekno Jurnal Amplifier: Jurnal Ilmiah Bidang Teknik Elektro dan Komputer Jurnal Tika Multica Science and Technology Andalasian International Journal of Applied Science, Engineering, and Technology Mejuajua Brilliance: Research of Artificial Intelligence AJAD : Jurnal Pengabdian kepada Masyarakat TECHSI - Jurnal Teknik Informatika Sisfo: Jurnal Ilmiah Sistem Informasi International Review of Practical Innovation, Technology and Green Energy (IRPITAGE) Jurnal Ilmu Gizi dan Dietetik Journal Of Artificial Intelligence And Software Engineering Jurnal Malikussaleh Mengabdi Jurnal Ecotipe (Electronic, Control, Telecommunication, Information, and Power Engineering) Jurnal Solusi Masyarakat Dikara The Indonesian Journal of Computer Science Asian Journal of Science Education
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SISTEM PENGENALAN DAN PENERJEMAHAN AL-QUR’AN SURAH AL –WAQI’AH MELALUI SUARA MENGGUNAKAN TRANSFORMASI SUMUDU Rosdian dian rosdian; Mutammimul Ula; Risawandi Risawandi
TECHSI - Jurnal Teknik Informatika Vol 11, No 1 (2019)
Publisher : Teknik Informatika Universitas Malikussaleh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/techsi.v11i1.1294

Abstract

Al-Qur’an adalah kalam Allah yang diturunkan kepada Nabi Muhammad SAW melalui perantara malaikat Jibril  kepada umat manusia untuk dijadikan pedoman dalam kehidupan di dunia dan di akhirat. Penelitian ini membahas bagaimana bunyi suara  ayat Al-qur’an pada  Surah Al-Waqi’ah yang akan ditransformasikan dari domain sinyal suara  analog menjadi domain sinyal digital dengan melakukan proses pengolahan persamaan gelombang secara diferensial dengan menerapkan transformasi sumudu. Berdasarkan hasil ujicoba penelitian menunjukkan bahwa metode transformasi sumudu dapat mengenali surah Al-Waqi’ah dengan nilai keakuratan sebesar 86,25%.
Penerapan Model Klasifikasi K-Nearest Neighbor Dalam Pencarian Kesesuaian Pekerjaan Mutammimul Ula; Ria Zulhusna; Rizki Putra Fhonna; Angga Pratama
METIK JURNAL Vol 6 No 1 (2022): METIK Jurnal
Publisher : LPPM Universitas Mulia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47002/metik.v6i1.343

Abstract

The application of job suitability is very important for companies/institutions in seeing the advantages of job applicants in accordance with their fields. then mobile-based information technology in finding job vacancies for applicants is very much needed for the required vacancies information and the suitability of the required formations. so that applicants can easily see the jobs that applicants need. The focus of this research problem is the existence of a mobile application in classifying job vacancies and the existence of a job information search menu according to the skills possessed and in accordance with the needs of mobile application-based jobs using the k-nearest neighbor (KNN) model. The purpose of this research is to apply a freelance application in aceh to help job search information according to the skills they have that match the needs of the job. The criteria available in the mobile application consist of a list of jobs, self-registration, a list of self-data weights, criteria and weights for recent education, work experience, marital status. The study was conducted with test data used 25 samples and applicants who registered consisted of 30 participants. the test results for the first registrant with the results of age 1, gender 0.5, GPA, 0.8, work experience 0.25, marital status 1 and passed with the value of the KNN calculation result is 0.406, the second applicant passed with a value of 0, 89 and the third did not pass with a value of 0.392. Job vacancies are obtained by taking 11 training data pieces that have the closest Euclidean distance to the questionnaire results. Furthermore, to test the accuracy using 30 samples with 24 accurate results and 6 inaccurate results.
Penerapan Model Decision Support System Dalam Penentuan Pemilihan Minat Siswa Mutammimul Ula; Rizky Putra Phonna; Ilham Saputra; Suheri; Angga Pratama
Jurnal Tika Vol 7 No 1 (2022): Jurnal Teknik Informatika Aceh
Publisher : Fakultas Ilmu Komputer Universitas Almuslim Bireuen - Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (309.098 KB) | DOI: 10.51179/tika.v7i1.1103

Abstract

Identification of the development of interests and talents is important to know the potential of students in choosing the right major. This is important in seeing the types of students' special interests and talents. This study aims to determine the development of special interests and talents in students based on students' abilities and intelligence. The criteria used in the selection are national exam scores, basic competency test scores, report cards, school final exam scores and combined scores. A combination of smart and saw methods to see the value of calculating the level of accuracy with the results of the analysis of each ranking. The results of testing the smart and saw method can be applied by comparing the data with a system that has been determined at the beginning by the school so that a good level of accuracy is obtained. Furthermore, Abdul's UN score is 6.00, Competency Test Value is 7.00, Report Report is 6.00, Uas Value is 9.00, Combined Value is 8.00 for the normalization matrix, 0.71, 1, 0.69, 1, 00 1.00 and the results of the SAW method. Abdu with a value of 4.28, Bahri with a value of 4.64, Wisma with a value of 4.65 and Izzah with a value of 4.51. for each student interest is determined by the school. The results of the Primary Determination Decision Support System to help schools make the best decisions by utilizing the process in student talent selection.
IMPLEMENTASI SISTEM PAKAR PADA PASIEN PENDERITA TUBERKULOSIS POTENTIAL DROP OUT DI RUMAH SAKIT CUT MEUTIA ACEH UTARA Eva Darnila; Mutammimul Ula; Mauliza Mauliza; Ermatita Ermatita; Iwan Pahendra
KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) Vol 2, No 1 (2018): Peranan Teknologi dan Informasi Terhadap Peningkatan Sumber Daya Manusia di Era
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/komik.v2i1.968

Abstract

The existence of a technology that identifies and controls patients with potential drop out TB disease which is increasingly rapid will be a top priority, especially for the health team in following up the success of treatment. In this study, an expert system was used to diagnose patients with potential Drop Out tuberculosis by using a Case Based Reasoning model to see patients with potential Droup Out. For variable names used are pulmonary smear patients (+), new patients, pulmonary smear (-) / ro (+), new patients, extra pulmonary, relapsed patients, re-treatment, default patients, re-treatment patients, failed patients and others -other. The last detection process is taken from the highest value obtained in the diagnosis of all the symptoms that have been witnessed. Based on the results of the application of the Expert System on Potential Drop Out Tuberculosis Patients at Cut Meutia Hospital in North Aceh based on the case code 31 with a detection system for the AFB (+) Lung Patient with its detection symptoms, the patient coughs with phlegm for 2-3 weeks or more. the results of sputum examination, patients who have been treated with TB drugs less than 1 month and TB patients on sputum examination, patients who have been treated with TB drugs less than 1 month, TB patients stop the treatment and TB patients return to the facility health service facilities with the highest case value of 0.6111 of all detection systems that have been tested.Keywords: Expert system,  CBS, TB
APPLICATION OF MACHINE LEARNING WITH THE BINARY DECISION TREE MODEL IN DETERMINING THE CLASSIFICATION OF DENTAL DISEASE Mutammimul Ula; Fajar Tri Tri Anjani; Ananda Faridhatul Ulva; Ilham Sahputra; Angga Pratama
JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Vol 6, No 1 (2022): Issues July 2022
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31289/jite.v6i1.7341

Abstract

The dangers of health problems in dental disease are common for children and adults. Many dental problems get priority treatment based on data from Riskesdas, about 67.6% of the Indonesian population suffers from dental and oral problems. This affects other parts of the organ that are interrelated. Therefore, this study formulates how to solve the determination of dental disease, by applying the UDB model in machine learning. The purpose of this study was to determine the application of machine learning Binary Decision Tree (BDT) in the classification of classified dental diseases identified by decision trees in determining the results of dental disease predictions including groups and how to solve them. The research methodology in the first stage of data collection was carried out directly with the dental clinic at Cut Meutia Lhokseumawe Hospital. Then input the dental disease data along with the dental disease symptom data. The final stage is dividing the attribute values in viewing the value at a predetermined branch which is then in the form of a decision tree as a reference for the final prediction. The results of the assessment have each value indicating a high level of accuracy, with an accuracy of 92 percent and an inaccuracy of 8 percent of the 40 data points tested. Furthermore, the conclusion of this study can produce an appropriate classification of dental disease and is able to produce accurate results seen from a small error rate
Application of Artificial Intelligence Chi-Square Model and Classification Of KNN in Heart Disease Detection Rosdiana Rosdiana; Vera Novalia; Ilham Saputra; Mutammimul Ula; Muhammad Danil
JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Vol 6, No 1 (2022): Issues July 2022
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31289/jite.v6i1.7343

Abstract

Cardiovascular disease is a problem in the blood vessels that do not run smoothly into the heart. This is fatal in patients with a history of heart disease. This problem often occurs in the flow of blood pumps into the heart. The problem examined in this study is how to complete the level of accuracy of each data set and the reduction of each attribute in heart disease. The purpose of this study is to analyze heart disease and classify heart disease using the chi-square and K-Nearest Neighbor algorithms. The results of the study with patient age 57, gender LK, cp 3, trestbps 200, chol 564, fbs 1, restecg 2, thalach 202, oldpeak 6.2, slope 2, ca 4, and the value of thal 3 for the target is there is disease heart 0 or 1 is detected without heart disease when the max-min data is normalized. while to measure the performance of the algorithm with the value of the confusion matrix with the actual class value of 1, prediction class 1 value 44, actual class 0 and prediction class value 6. while the actual class value 0-1, prediction class 1 value 5 and 0-0 value 36. the final stage value of the accuracy measure is 0.87912, the recall value is 0.89797 and the precision value is 0.85714. The implication of the application of the test has an optimal test, the accuracy value with data K = 303 then it can be concluded that based on the test the calculation of the KNN model obtained an accuracy of 91%
PENGEMBANGAN DESA DIGITAL DALAM PELAYANAN PUBLIK DAN KEARSIPAN BERBASIS TEKNOLOGI INFORMASI DI GAMPONG REULET TIMUR Fakhrurrazi Fakhrurrazi; Nurhafni Nurhafni; Mutammimul Ula; Ade Luky Setiawan; Asma Mauli Arpika
RAMBIDEUN : Jurnal Pengabdian Kepada Masyarakat Vol. 5 No. 3 (2022): Rambideun : Jurnal Pengabdian kepada Masyarakat
Publisher : LPPM Universitas Al Muslim

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51179/pkm.v5i3.1468

Abstract

The development of digital-based smart villages in Indonesia can increase economic activity and productivity in rural areas. The implementation of digital village innovations is able to improve public services by utilizing technology, thus creating effectiveness and efficiency in providing services. However, not all villages can keep up with rapid technology developments. To overcome these problems, it is necessary to provide information technology infrastructure for villages. Currently, the government by using the village fund instrument has started to provide technological facilities and infrastructure to the village government. However, the existence of this equipment had not run optimally as a result of lack of knowledge and skills in information and technology, especially in the field of public services and archives. This service aimed to make village apparatus and residents familiar with technology and make filing easier for village officials. Furthermore, for the development of digital villages there will be training in introducing technology to residents. The results of this service facilitated village officials in administration and providing detailed information about village activities, assisting partners in accelerating services and disseminating information related to villages in all fields, especially in the administrative field.
PENYULUHAN PENTINGNYA STATUS GIZI ANAK DAN STUNTING DI DESA UTEUNKOT KECAMATAN MUARA DUA KOTA LHOKSEUMAWE Mauliza Mauliza; Mutammimul Ula; Zahratul Fitri; Tiara Razaqa Sakinah; Muhammad Rahmad Zainal
RAMBIDEUN : Jurnal Pengabdian Kepada Masyarakat Vol. 5 No. 3 (2022): Rambideun : Jurnal Pengabdian kepada Masyarakat
Publisher : LPPM Universitas Al Muslim

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51179/pkm.v5i3.1471

Abstract

The incidence of stunting affects chronic growth disorders in children due to long-term nutritional deficiencies. Stunting is caused by multi-dimensional factors, not only caused by malnutrition, which is experienced by pregnant women and children under five. As for other indirect factors, they range from socio-economic factors, parental education, parental occupation, exclusive breastfeeding, immunization status, range of health care facilities, to parenting patterns. The problem of stunting is influenced by infectious diseases and lack of nutritional intake. As for other problem indirect factors, namely socio-economic factors, parental education and parental occupation, exclusive breastfeeding, immunization status, range of health care facilities and inadequate parenting patterns. The method of activity carried out in this community service was by counseling using the lecture method with media presentations containing explanations about how to fulfill nutrition for community service participants. The purpose of this service activity was to increase the knowledge and attitudes of mothers, heads of families and residents of Uteunkot Village in implementing the consumption of balanced nutritious food in children from early age. The results of this counseling activity were able to increase the knowledge of mothers and residents of Uteunkot Village. Furthermore, it is hoped that residents can understand the impact of stunting and how to prevent stunting properly.
PELATIHAN PEMBUATAN DAN PENGELOLAAN WEBSITE UNTUK TOKOH DAN REMAJA DI BLANG PULO LHOKSEUMAWE Rosdiana Rosdiana; Mutammimul Ula; Mutmainnah Mutmainnah; Suriyanto Suriyanto; Juniwan Ginting
RAMBIDEUN : Jurnal Pengabdian Kepada Masyarakat Vol. 5 No. 3 (2022): Rambideun : Jurnal Pengabdian kepada Masyarakat
Publisher : LPPM Universitas Al Muslim

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51179/pkm.v5i3.1472

Abstract

The community service activities of the community development scheme aimed to provide information technology skills through a training of website making and its management for village officials, leaders of Munawwarah mosque, and youth of Blang Pulo village. The problem that has been identified by the team was that there is no village website to explore village potential and promote Blang Pulo as well as increasing the economic level through promoting superior village products as the closest village to the Malikussaleh University campus. The methodology used in this community service activity encompassed: 1) site survey and village interview prior to conducting training and to identify problems; 2) provide an introduction to the website creation system and provide assistance in teaching community empowerment training materials; and 3) providing training materials for partners and village leaders, village apparatus and youth to provide website materials with wordpress. The purpose of this service included: 1) increasing the knowledge and abilities of village leaders and youth in making websites with WordPress; and 2) increasing the ability of village leaders and youth in operating and managing the website. The target of this community service activity was to empower community of Blang Pulo village in managing websites with Wordpress, explore village potential and promote village potential, providing up-to-date data information on village information websites, and increasing economic levels through the promotion of village superior products. The results of this service activity was the creation of village website and appointment of operator Blang Pulo village to manage the web and to set up all display menus properly and correctly. So, it was expected that the results of website management training are in accordance with the needs of the community and rural development goals.
Application of Expert System With Forward Chaining Method in Detecting Infectious Diseases in Children Mauliza Mauliza; Mutammimul Ula; Ilham Saputra; Rosya Afdelina; Muhammad Ikhsan
Science Midwifery Vol 10 No 4 (2022): October: Science Midwifery
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/midwifery.v10i4.714

Abstract

Limited information about infectious diseases, especially diseases in children, is a major problem. The application of an expert system in detecting infectious diseases in children is needed in early detection in diagnosing diseases. The purpose of this study was to determine the diagnosis of infectious diseases in children based on the symptoms of the disease and the results of the diagnosis from the system for recommendations to patients with the type of disease suffered and the solutions provided. The stages of the research are collecting data and information on infectious diseases in children. The second is symptom and rule data collection. The third is making each solution from the types of diseases, and the last step is the solution for preventing infectious diseases in children, which is displayed in the system based on the analysis of disease rules. As for the variables in the application of disease tracing graphs, there are 17 rule graphs in detecting diseases in children. Analysis of the rules in the forward chaining method in disease detection for the types of symptoms of high fever (G001), sore throat and cough (G004), persistent hard cough that begins with a long breath through the mouth (G023), and diarrhea (defecation). watery more than three times per day (G030) Itching (G48), irritable and irritable (G033) The upper right abdominal area will feel pain, especially when pressed (G49). Analysis of each symptom G001, G004, G023, G030, G031, G033, G48, G49, the disease that will be detected is P009, namely Hepatitis A. The results obtained are in accordance with patient input by conducting a search using a rule model that utilizes a trace tree. forward based on tracing pediatric disease diagnoses with existing facts. The results of this study can display the results of diagnosis, disease analysis, solutions, and prevention based on the symptoms of the disease in children.
Co-Authors - Fakhrurrazi -, Badriana -, Bakhtiar ., Muthmainah Abdi Zulfikri Achmad Rizal, Reyhan Ade Irfan Ade Luky Setiawan Agi Ayu Nurdianta Barus Akbar, Muhammad Zulfat Amri, Fajar Ananda Faridhatul Ulva Andik Bintoro Angga Pratama Angga Pratama Ar Razi Arief Rahman Arnawan Hasibuan Arpika, Asma Mauli Arya Wiyangga Pradana Asma Mauli Arpika Asmawi Asran Asrianda Asrianda Azhari SN Badriana, Badriana Bakhtiar Bakhtiar Bambang Suhendra Barus, Agi Ayu Nurdianta Budi Setiawan Burhanuddin Burhanuddin Burhanuddin Burhanuddin Burhanuddin Burhanuddin Bustami Bustami Bustami Cut Agusniar Cut Dewi Aida Soraya Cut Ita Erliana Dewi, Apriandini Sri Difa Angelina Edi Yusuf Adiman Elfiana Emi Maulani Eri Saputra Ericky Benna Perolihin Manurung Ermatita - Ermatita Ermatita Eva Darnila Eva Darnila eva darnila, eva darnila Ezwarsyah Ezwarsyah Fachrurrazi Fachrurrazi Fadillah, Tengku Farhan Fadliani Fadlisyah Fadlisyah Fadlisyah Fahrizal, Effan Fahrozi, Fazar Fahrozi, Mahlil Fajar Tri Tri Anjani Fajriana, Fajriana Fakhrurrazi Fakrurrazi Fakrurrazi Fakrurrazi Fasdarsyah Fathia Fauzi, Sri Wahyuni Febryanda, Inne Fidyatun Nisa Fitriana Fitriana Fitrianti, Uli Fuadi, Wahyu Fyanda, Dwi Auji Gita Perdinanta Hadi Riyadi Hafizh Al Kautsar Aidilof Harun, Rofiq Hasbi, Maulida ilham - sahputra Ilham Sahputra Ilham Sahputra Ilham Sahputra Ilham Sahputra Ilham Saputra Ilham Saputra Ilham Saputra Ilham Saputra Ilham Saputra Iramadhani, Dwi Irhamna, Ayu Irma Yurni Irma Yurni Irwansyah, Defi Iswadi Iswadi Ivan Maulana Iwan Pahendra Iwan Pahendra Iwan Pahendra Anto Saputra Juandana, Rio Adian Juniwan Ginting Laila, Dwi Nur'aini Mahdaliana, Mahdaliana Maryana Mauliza Mauliza Mauliza Mauliza Mauliza Mauliza Mauliza Mauliza Mauliza Mauliza Mauliza Mauliza, Ade Mauliza, Mauliza Mochamad Ari Saptari Muarif Qumar Muhammad Abdullah Ali Muhammad Abdullah Ali Muhammad Danil Muhammad Fauzan Muhammad Ichwan Muhammad Ikhsan Muhammad Ikhwani Muhammad Muhammad Muhammad Rahmad Zainal Muhammad Rizka, Muhammad Muhammad Sadli Muhammad, Muhammad Multazam, T Mulyadi Mulyadi Munirul Ula Muthmainnah Muthmainnah Mutmainnah Mutmainnah Nadya Hayana Nasriah Nasriah Nasriah Nasriah Nayla Husna, Siti Nur Faliza Nur Hafni Nurdin Nurdin Nurfebruary, Nanda Sitti Nuri Aslami Nurmalina Nurmalina, Nurmalina Pahendra, Iwan Purba, Nur Alfi Rahma Fitria, Rahma Rahmat Kurniawan Rayhan Rahul Mutuahmi Razif Razif Renardi, Renardi Reyhan Achmad Rizal Reyhan Achmad Rizal Reyhan Achmad Rizal Ria Zulhusna Richki Hardi Ridha Maulana Ridwan Ridwan Risawandi, Risawandi Riyadhul Fajri Rizal Tjut Adek Rizal, Reyhan Achmad Rizki Putra Fhonna Rizky Putra Fhonna Rizky Putra Phonna Rizky Zuliyansyah Rosdian dian rosdian rosdian, Rosdian dian Rosdiana Rosdiana Rosdiana Rosdiana Rosya Afdelina Rozzi Kesuma Dinata Safriana Safriana Sahputra, Ilham Salahuddin Salahuddin Salahuddin Salamah Salamah Salamah Salamah Salamah Saptari, Mochamad Ari Satriawan, Ivan Sayed Fachrurrazi Sayed Fachrurrazi Setiawan, Ade Luky Shayravi Shayravi Shayravi, Shayravi Siregar, Dinda Saima Agustina Siti Aminah Siti Atikah Nabila Suheri Sujacka Retno Suriyanto Suriyanto Susanti Susanti syarifah asria nanda, syarifah asria Syibral Malasyi Syukriah Syukriah Syukriah Syukriah Tengku Farhan Fadillah Teuku Zulkarnaen Tiara Razaqa Sakinah Tsania Asha Fadilah Daulay Ulva , Ananda Faridhatul Umaruddin Usman Vera Novalia Veri Ilhadi Wahyu Fuadi Yella Cinni Ujung Yuli Asbar Yulisda, Desvina Yumna Rilasmi Said Yumna Rilasmi Said Yusniar Yusniar Zahratul Fitri Zahratul Fitri Zahratul Fitri, Zahratul Zainal Abidin Zikrina Zikrina Zul Akli Zulfikri, Abdi Zuraida Zurhijjah Zurhijjah