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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 Jurnal Pengabdian Masyarakat Bangsa 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
Mutammimul Ula
Universitas Malikussaleh
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Penerapan KNN Penentuan Pelanggan Baru PDAM dan Clustering K- Means Berdasarkan Wilayah Mutammimul Ula; Muthmainnah; Ridha Maulana; Veri Ilhadi
Jurnal Informatika dan Teknologi Komputer (J-ICOM) Vol 4 No 1 (2023): Jurnal Informatika dan Teknologi Komputer ( JICOM)
Publisher : E-Jurnal Universitas Samudra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33059/j-icom.v4i1.7494

Abstract

The Regional Drinking Water Company (PDAM) Tirta Gunung Pase is a company that distributes and provides drinking water services for the entire region of Lhokseumawe and North Aceh. This research aims to find new customers by determining new pairs and grouping each area in determining clusters in each region. This makes it easier for leaders to view collections by customer ID and the number of household group usage. The research methodology is to collect data at PDAM Tirta Mon Pase, then look at the classification with the KNN model and group it with the K-Means method. A final result is a group of regular customers and non-permanent customers with the variable customer id, house class, and several occupants of the house, and the respective values are seen from UA with a value of 5, RB value of 4, RC value 3, RD value two and SB value 1 with test data using 15 samples. The results of testing the KNN model by entering the customer id 25768, occupants of houses in groups 5 and 4 are included in the class 2 classification. Meanwhile, the customer id is 41162 with the results of group 4 classification and class 1 occupants 3 class 1. Kmeans clustering results for households, businesses and industrial companies. K-Result, while the results of the K-means method contained three clusters which showed that cluster 1 was 46.07%, cluster 2 was 39.79%, and cluster 3 was 14.13%.
Implementasi Sistem Informasi Dayah Dan Pemetaan Lokasi Berbasis Sistem Informasi Geografis mutammimul Ula; Riyadhul Fajri; Yella Cinni Ujung
Jurnal Tika Vol 8 No 1 (2023): Jurnal Teknik Informatika Aceh
Publisher : Fakultas Ilmu Komputer Universitas Almuslim Bireuen - Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51179/tika.v8i1.1927

Abstract

The application of information technology is one of the advantages of processing Islamic boarding school information systems. It significantly impacts making Islamic boarding school information along with the intended Islamic boarding school location and location. The problem that occurs is that many systems in institutions or agencies initially collect data manually in detail about the profile of the Islamic boarding school and its location, making it an obstacle for the community in determining the choice of an Islamic boarding school. The aim is to make it easier to manage data and prepare a Geographic Information System for data. The research objective is to make it easier for the dayah to collect data and make it easier for the community to process Geographic Information Systems for the dayah. This research was developed on a GIS basis and in location processing by converting the files into Geo JSON and Leaflet JS formats to visualize the mapping of the intended dayah locations. Testing the system application menu is done with the black box testing model. The results of this study can facilitate the dayah in managing the power information system and the accuracy in knowing the location of the dayah information. The results of testing the dayah application menu following the results of 100% according to the test results on a running web application by displaying 100% results with the appearance of the appropriate information system application and mapper
Clustering Analysis and Mapping of ISPA Disease Spread Patterns in Bireuen District Mutammimul Ula; Tsania Asha Fadilah Daulay; Richki Hardi; Sujacka Retno; Angga Pratama; Ilham Sahputra
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 7 No 3 (2023): Juni 2023
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29207/resti.v7i3.4936

Abstract

ISPA disease can be detected by analyzing the regional distribution map of the disease. Early detection of ARI is very important for effective prevention. The study conducted in Bireuen Regency used data from 2019 to 2021, sourced from dr. Fauziah Bireuen Hospital, revealed that there was an increase in ARI cases from an average of 13.18 to 59.24 per year. The aims of the study were to identify ARI clusters, analyze disease patterns using Spatial Pattern Analysis and Flexible Shaped Spatial Scanning Statistics. The methodology involves collecting patient data for each ARI case and processing it using DBSCAN to obtain cluster points on the map. Spatial Pattern Analysis is used to analyze these clusters and identify hotspot points on the map. The analysis resulted in four clusters: Cluster 1 (6 subdistrict), Cluster 2 (4 subdistrict), Cluster 3 (1 subdistrict), and Cluster 4 (6 subdistrict). The study identified 6 hotspots in 2019, 5 hotspots in 2020, and 6 hotspots in 2021. Each ARI disease clustering map shows the distribution of ARI cases and identifies areas prone to the disease. These findings provide valuable insights for targeted interventions and preventive actions in identified high-risk areas of ISPA.
IMPLEMENTASI PEMODELAN CITRA MODEL SVM (SUPPORT VECTOR MACHINE) DALAM PENENTUAN PENGKLASIFIKASIAN JENIS SUARA KONTES BURUNG Rosdiana Rosdiana; Mutammimul Ula; Hafizh Al Kautsar Aidilof
Jurnal Informatika Kaputama (JIK) Vol 5 No 2 (2021): Volume 5, Nomor 2, Juli 2021
Publisher : STMIK KAPUTAMA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59697/jik.v5i2.264

Abstract

Penelitian ini digunakan untuk klasifikasi pemodelan dengan citra model SVM (Support Vector Machine) dalam pengklasifikasian jenis suara burung yang telah dilatih dan hasil yang didapat berupa jenis suara burung yang telah diklasifikan dengan uji latih model SVM dihasilkan. Selanjutnya proses pada pengenalan suara burung yang dilakukan secara proses otomatis penggalian dan penentuan informasi linguistik yang disampaikan oleh sinyal suara atau sirkuit elektronik. Untuk masing-masing data latih memiliki tiap-tiap sample suara yang dihasilkan memiliki nilai energi masing-masing yang dipengaruhi oleh frekuensi, amplitudodan phasa. Nilai energi dari masing-masing sample suara itu kemudian ditetapkan sebagai suatu ciri untuk dapat dikalsifikasi dengan sample suara lainnya. Metode support vector machine berperan dalam proses pengelompokan nilai energi suatu untuk menentukan ciri dari suatu sample suara. Setelah masing-masing sample suara memiliki identitas atau ciri masing-masing,maka dilakukanlah pengklasifikasian sample suara dimana dalam penelitian ini akan ditampilkan spesies dari suara burung yang diinputkan. dalam skema identifikasi jenis burung memiliku proses dengan tahap kenel 1 proses SVM dari masing-masing input file suara dan dilakukan kekernel uji dengan proses SVM yang hasilnya fungsi mapping, hasil uji, jarak cektor ciri spesies burung dan nilai grafik scope yang di latih. Persentase keakuratan sistem grafik dengan identifikasi false dan right berdasrkan sample pelatihan yang dilakukan.
IMPLEMENTASI MACHINE LEARNING DENGAN MODEL CASE BASED REASONING DALAM MENDAGNOSA GIZI BURUK PADA ANAK Mutammimul Ula; Ananda Faridhatul Ulva; Mauliza Mauliza
Jurnal Informatika Kaputama (JIK) Vol 5 No 2 (2021): Volume 5, Nomor 2, Juli 2021
Publisher : STMIK KAPUTAMA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59697/jik.v5i2.267

Abstract

Upaya pencegahan permasalahan stunting kepada masyarakat khususnya pada ibu-ibu dengan pemberian masukan khususnya masyarakat aceh utara akan pentingnya pemenuhan gizi pada balita agar terhindat dari stunting. Kekurangan gizi menjadi pokok permasalahan yang dialami balita di Indonesia. Peran Rumah Sakit dan Dinas Kesehatan diperlukan dalam melihat jumlah gizi buruk pada balita khususnya di Aceh. Dalam penelitian ini penting dilakukan implementasi machine learning dengan model case based reasoning dalam mendiagnosa gizi buruk pada anak dalam melihat pengelompokkan balita yang teridentifikasi stunting atau tidak dengan menggunakan teknologi system pakar Case Based Reasoning yang dimodelkan dalam dalam mesin learning yang dilihat dari data riwayat gizi yang kemudian dimasukkan kedalam model pengujian Machine Learning dalam mendeteksi gizi buruk pada balita. Hal ini dapat mengurangi stunting yang ada di setiap wilayah, gampong dan kecamatan dari tiap Puskesmas yang ada di kabupaten aceh utara. Tujuan Penelitian ini adalah Untuk mengetahui pendeteksian gizi buruk balita pada Rumah Sakit Cut Meutia Kab. Aceh Utara. Hasil penelitian ini adalah dapat mendiagnosa gizi buruk pada balita dengan menggunakan metode casedbase reasoning dan hasil sistem yang dibangun dapat digunakan sebagai acuan untuk memantau tumbuh kembangnya bayi/balita. adapun variabel yang dimasukkan adalah nama, umur balita, jenis kelamin, tinggi badan dan berat badan, kemudian machine learning mencari kasus yang terdekat untuk melihat nilai yang paling mendekati dalam problem stunting. hasil nya adalah Nilai nya adalah Similarity (x, K001) 1,00, Similarity (x, K008), 0,66Similarity (x, K010), 0,64.
Analyze the Clustering and Predicting Results of Palm Oil Production in Aceh Utara Mutammimul Ula; Gita Perdinanta; Rahmad Hidayat; Ilham Sahputra
IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Vol 17, No 2 (2023): April
Publisher : IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ijccs.83195

Abstract

PT. Perkebunan Nusantara 1 is engaged in oil palm production with a total land area of 1,144 Ha. The formulation of this research can determine productive land clusters based on land area, number of trees, number of stages, and palm oil production. Methodological steps include plantation area data and oil palm production data. This study can compare the C-means and K-means groups. As for predictions using the Backpropagation Neural Network (BPNN) algorithm and Fuzzy time series for production results. The results of grouping Cot girek palm oil production data for the 2019-2022 period from January to December were 1,365,530, while in 2022 it reached 1,768,720. The analysis used a land grouping method of 1,144 hectares, which resulted in 800.4 hectares of productive land and 343.6 hectares of less effective land. The results of the C-menas clustering model are more than K-meas with shorter iterations while for predictions it has an accuracy rate of 90.77%. As a comparison, the level of accuracy of the fuzzy time series is 81.27%. The results of this study can be used as recommendations for companies in the analysis of productive land grouping analysis and forecast results from these lands.
IMPLEMENTASI LOGIKA FUZZY DALAM OPTIMASI JUMLAH PENGADAAN BARANG MENGGUNAKAN METODE TSUKAMOTO (STUDI KASUS : TOKO KAIN MY TEXT) Mutammimul Ula
Jurnal Ecotipe (Electronic, Control, Telecommunication, Information, and Power Engineering) Vol 1 No 2 (2014): Jurnal Ecotipe Vol.1 No.2 Oktober 2014
Publisher : Jurusan Teknik Elektro, Universitas Bangka Belitung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33019/ecotipe.v1i2.50

Abstract

Optimization of the amount of procurement carried out by using three variables, namely sales, inventory and procurement. Variable sales consists of two fuzzy sets, namely: down and up, variable inventory consists of two fuzzy sets, namely: a little and a lot, while procurement is made up of two variable fuzzy set, which decreases and increases. By combining all these fuzzy sets, obtained four fuzzy rules, which is then used in each inference. In the inference stage, look for the antecedent membership value (?) and the optimization of the estimated procurement value (z) of each rule. Optimization of procurement of goods (z) sought by an average defuzzification method centralized. Analysis using the Tsukamoto method produces the optimum conditions of procurement reaches 38 cloth / bales, this approach calculations generated by Shop My Text without using methods Tsukamoto, ie 35 cloth / bales. Analysis using the Tsukamoto method shows the real condition that must be carried out by the seller of goods in store My Text in the procurement process so that more targeted.
Aplikasi Sistem Informasi Pendaftaran Siswa Baru Di Sekolah Negeri di Aceh Timur Berbasis Web mutammimul Ula; Veri Ilhadi; Arief Rahman; Irma Yurni; Emi Maulani
Jurnal Tika Vol 9 No 1 (2024): Jurnal Teknik Informatika Aceh
Publisher : Fakultas Ilmu Komputer Universitas Almuslim Bireuen - Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51179/tika.v9i1.2747

Abstract

The New Student Registration Information System is a very important and digital platform designed to facilitate the process of registering new students at educational institutions. The system developed is expected to increase efficiency, transparency and accessibility in the new student registration process, while reducing administrative burden and manual data errors. Pante Bidari 2 Public Middle School in East Aceh does not yet have a full role for information technology in supporting the smooth running of school activities related to . This system is also very useful for the school, specifically the committee or teachers who are authorized to carry out the process of admitting new students so that the procedures and process for admitting new students run smoothly more effectively and efficiently. Stages in collecting observation data, literature study and conducting interviews during research activities. The aim of this research is to create a Web-based New Student Admissions Information System to make it easier for prospective students and the school in the process of registering and accepting new students. The result of this research is that you can manage new student admission data easily. The web-based New Student Admissions Information System is a technological solution designed to modernize the process of admitting new students to educational institutions. This system also supports transparency and accuracy of information related to the registration process, such as requirements, test schedules, registration fees, and graduation announcements. Implementation of this system has been proven to increase efficiency and minimize errors that often occur in manual processes, while making it easier for prospective students to register students.
Pelatihan dan Pengelolaan Teknologi Informasi Berkelanjutan dalam Peningkatan Pengembangan Desa Digital pada Bidang Pelayanan Publik dan Kearsipan di Gampong Reuleut Timur Fakhrurrazi; Nurhafni; Ula, Mutammimul; Setiawan, Ade Luky; Arpika, Asma Mauli
AJAD : Jurnal Pengabdian kepada Masyarakat Vol. 3 No. 3 (2023): DECEMBER 2023
Publisher : Divisi Riset, Lembaga Mitra Solusi Teknologi Informasi (L-MSTI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59431/ajad.v3i3.196

Abstract

Information technology can improve the quality of information obtained by Gampong Reulet residents, especially in integrated public services and archives. Steps for Sustainable Information Technology Management in Improving Digital Village Development in the Field of Public Services and Archives include identifying village needs and potential, developing digital technology infrastructure, developing digital content and applications to support village needs in the archives sector. and public services, developing the skills and capacity of village communities in utilizing digital technology, as well as monitoring and evaluating the results of digital village development. The aim of the service is to provide Gampong Reuleut digital innovation to improve public services by utilizing technology to improve the performance of village officials and the efficiency of delivering information services. Second, digitizing archives can provide easy access and storage of information in several media so that the information is not lost. The results of this service increase administrative activities of gampong officials, provide comprehensive details about sustainable village operations, speed up services, and disseminate information related to gampong reulet including providing information services. Furthermore, the service has increased the development of digital villages, which shows that 90% and 10% of service participants feel quite satisfied with the implementation of service activities.
APPLICATION OF CLUSTERING GROUPS IN DETERMINING LAND SUITABILITY Angga Pratama; Salamah Salamah; Mutammimul Ula; Nadya Hayana
Multica Science and Technology Vol 1 No 2 (2021): Multica Science and Technology
Publisher : Universitas Mulia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47002/mst.v1i2.281

Abstract

The problem of the suitability of planting land for planting types of plants is still a lot of unresolved farmers. land at the beginning of land selection is very decisive. This is to determine whether the land is productive or not. in the future is the result that farmers will experience considerable losses if this is not estimated, therefore a model is needed to know and estimate accurately whether the land or land is suitable for planting crops or not. The purpose of this study is that farmers do not experience losses and losses on land when planting crops on available land. So that it can improve the quality of food in Aceh and can improve the welfare of farmers. The result of the research is that it can be found a Clustering model or grouping of plant stock types using the k-medoid model, finally the application of this clustering model is able to provide a solution for the Office. Based on calculations using the K-Medoids method obtained for land compliance in North Aceh Regency is Corn with an adjustment of 53.6%, Peanuts 17.9%, Soybeans 14.3%, Bulbs 10.7% and the suitability for rice is 3 ,6%.
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 ANNISA KARIMA Ar Razi Arief Rahman Arief Rahman Arnawan Hasibuan Arpika, Asma Mauli Arya Wiyangga Pradana Asbar, Yuli Asma Mauli Arpika Asmawi Asran Asrianda Asrianda Azhari SN Badriana, Badriana Bakhtiar Bakhtiar Bambang Suhendra Barus, Agi Ayu Nurdianta Budi Setiawan Burhanuddin Burhanuddin Bustami Bustami Bustami Cinni Ujung, Yella Cut Agusniar Cut Dewi Aida Soraya Cut Ita Erliana Dewi, Apriandini Sri Difa Angelina EDI YUSUF, EDI 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 Fajri, Riyadhul 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 Hasbi, Maulida ilham - sahputra Ilham Sahputra Ilham Sahputra Ilham Sahputra Ilham Sahputra Ilham Saputra Ilham Saputra Ilham Saputra Ilham Saputra Ilham Saputra Indradewa, Rhian Iramadhani, Dwi Irhamna, Ayu 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 Mauliza, Mauliza Mochamad Ari Saptari Muarif Qumar Muhammad Abdullah Ali Muhammad Abdullah Ali Muhammad Danil Muhammad Fauzan Muhammad Hatta Muhammad Ichwan Muhammad Ikhsan Muhammad Ikhwani Muhammad Muhammad 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 Nasution, Fakruddin Ahmad Nayla Husna, Siti Nur Faliza Nur Hafni Nurdin Nurdin Nurfebruary, Nanda Sitti 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 Rofiq Harun Rosdian Rosdian dian rosdian Rosdiana Rosdiana Rosdiana Rosdiana Rosdiana Rosdiana Rosya Afdelina Rozzi Kesuma Dinata Safriana Safriana Sahputra, Ilham Salahuddin Salahuddin Salahuddin Salamah Salamah Salamah Salamah Salamah Saptari, Mochamad Ari Saputra, Ilham 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 Sukiman, T. Sukma Achriadi Suriyanto Suriyanto Suryati Suryati Susanti Susanti syarifah asria nanda, syarifah asria Syibral Malasyi Syukriah Syukriah, Syukriah Tengku Farhan Fadillah Teuku Zulkarnaen Tiara Razaqa Sakinah Tsania Asha Fadilah Daulay Ulva , Ananda Faridhatul Ulya, Athiyatul Umaruddin Usman Vera Novalia Veri Ilhadi Wahyu Fuadi Yella Cinni Ujung Yulisda, Desvina Yumna Rilasmi Said Yumna Rilasmi Said Yurni, Irma Yusniar Yusniar Zahratul Fitri Zahratul Fitri Zahratul Fitri, Zahratul Zainal Abidin Zikrina Zikrina Zul Akli Zulfia , Anni Zulfikri, Abdi Zuraida Zurhijjah Zurhijjah