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All Journal Jupiter Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) JOURNAL OF SCIENCE AND SOCIAL RESEARCH Jurnal Tekinkom (Teknik Informasi dan Komputer) Jurnal Sains Teknologi dan Sistem Informasi Jurnal Pengabdian Kepada Masyarakat Prosiding Seminar Nasional Sisfotek (Sistem Informasi dan Teknologi Informasi) Prosiding Seminar Nasional Pengabdian Kepada Masyarakat Jurnal Sains Informatika Terapan (JSIT) Journal of Scientech Research and Development Jurnal Manajemen Informatika dan Bisnis Digital Jurnal Teknologi Komputer dan Informasi TOFEDU: The Future of Education Journal Jurnal TEFSIN ( Jurnal Teknik Informatika dan Sistem Informasi)

Melladia, Melladia

Universitas Nahdlatul Ulama Sumatera Barat

Author-ID : 1647961

Arts Humanities Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Nursing Public Health Social Sciences Veterinary Other

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Aplikasi Sistem Pakar Mendeteksi Zat Berbahaya Pada Plastik Menggunakan Metode Backward Chaining Melladia Melladia; Siska Aprilia
JUPITER (Jurnal Penelitian Ilmu dan Teknologi Komputer) Vol 13 No 1 (2021): JUPITER Vol. 13 No. 1 April 2021
Publisher : Teknik Komputer Politeknik Negeri Sriwijaya

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

Abstrak Dalam dua darsawarsa terakhir, plastik mampu merebut pangsa pasar menggantikan kaleng dan gelas. Di Indonesia plastik juga mulai mendominasi industri makanan, dan kemasan luwes (fleksibel) menempati porsi 80%. Bahan plastik tersusun dari polimer-polimer yang berasal dari bahan mentah yang berupa monomer, selain itu juga mengandung bahan aditif. Aspek negatif plastik adalah bila monomer-monomer bermigrasi ke dalam bahan makanan yang dikemas, yang merupakan bagian yang berbahaya bagi manusia karena bersifat karsinogenik. Pengetahuan yang disusun sedemikian rupa ke dalam bentuk database dengan tabe-tabel. Dalam sistem pakar ini menggunakan metode inferensi backward chaining. Dan dengan diterapkan sistem pakar dalam mendeteksi zat berbahaya pada plastik ini, diharapkan dalam proses analisa hasil menjadi lebih cepat, tepat dan akurat. Hasil diagnosa sistem zat berbahaya pada plastik akan secara langsung dapat diketahui dan untuk mengetahui hasil yang tertera maka akan ditampilkan didalam bentuk website menggunakan pemrograman PHP dengan database MySQL. Kata Kunci—Sistem Pakar, Forward Chaining, Zat Plastik, PHP dan MySQL Abstract During the last two decades, plastics have been able to grab market share in place of cans and glass. In Indonesia, plastics are also starting to dominate the food industry, and flexible packaging accounts for 80% of the share. Plastic materials are composed of polymers which are derived from raw materials in the form of monomers, but they also contain additives. The negative aspect of plastics is when the monomers migrate into the packaged food material, which is the part that is harmful to humans because it is carcinogenic. Knowledge is arranged in such a way into a database with tables. In this expert system using backward chaining inference method. And with the application of an expert system in detecting hazardous substances in plastics, it is hoped that in the analysis process the results will be faster, more precise and accurate. The results of system diagnostics for hazardous substances in plastics will be immediately known and to find out the results listed will be displayed in the form of a website using PHP programming with MySQL database. Keywords— Expert Systems, Backward Chaining, Plastic Substance, PHP and MySQL

Implementasi Algoritma Backpropagation Prediksi Kegagalan Siswa Pada Mata Pelajaran Matematika Melladia Melladia; Iis Roza Mardani
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 2 No 3 (2018): Desember 2018
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Students become those who can advance the nation. Schools and teachers are very helpful in creating smart and competent students. But often found students who fail, one of which is in the eyes of mathematics. With problems with students Mathematics study researchers want to help solve problems by using predictions on math subjects. In this study the researchers chose the object of research, namely in Padang State Middle School 39. This is quite a problem for students when teaching and learning mathematics subjects. Students do not understand mathematics and this problem will make students' grades decrease. By using student value data, a model is designed to predict students against mathematics subjects. The model uses the backpropagation algorithm. Data variables are taken from students' mathematical currency data, namely assignment 1, assignment 2, average, mid-semester and final semester grades. The data generated is 1 semester data and the number of students predicted is 30 students. The prediction results using the best model are training pattern data 5-2-1 with EPOCH process = 58 and MSE achievement when payment with MSE = 0,00989892 with an accuracy of 99,9901011. it can be cited that the backpropagation algorithm can be used to predict student errors in the eye Mathematics lessons as a guide for teachers

PENERAPAN DATA MINING PEMASARAN PRODUK MENGGUNAKAN METODE CLUSTERING Melladia Melladia; Dian Eka Putra; Leila Muhelni
Jurnal Tekinkom (Teknik Informasi dan Komputer) Vol 5 No 1 (2022)
Publisher : Politeknik Bisnis Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37600/tekinkom.v5i1.458

This study aims to build a data mining application that is able to classify products marketed by companies to find out the products needed for the following month. This application groups non-hierarchical data which is designed to divide existing data into two or more groups so that the same data can be entered into other groups. In this study, the data used is data from PT Cipta Niaga Semesta Mayora Group and the method used is clustering. Data mining is computer-based data processing to gain knowledge. By using data mining, processing sales data at PT Cipta Niaga Semesta Mayora Group becomes easier and gains useful knowledge to take steps to face competition. For this reason, the company's management foresight is needed in choosing technology to help work so that the costs incurred are proportional to the company's opinion. The development of this framework is completed through several stages starting with the first data collection, followed by the second stage of application design, the third stage of the four stages of program development and program implementation. Using data mining applications can help PT Cipta Niaga Semesta categorize the products it sells so that the company can predict the product inventory needed for the following month. So with the new information the company can find out what products customers want.

Algoritma Genetika Menentukan Jalur Jalan dengan Lintasan Terpendek (Shortest Path) Melladia Melladia
Prosiding SISFOTEK Vol 4 No 1 (2020): Vol 4 No 1 (2020): SISFOTEK 2020
Publisher : Ikatan Ahli Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (595.65 KB)

The shortest route (shortest path) is a problem to find the minimum route from the initial point (node) to the destination point (node). One of the artificial intelligence that can be used to solve the problem of finding the shortest route is the Genetic Algorithm. To get the right solution for optimization problems with one variable or multiple variables. The problem of traveling salesman problem (TSP) is one of the combinatorial optimization problems. TSP is a difficult problem when viewed from the point of computation. Several methods have been used to solve the problem and are a solution in determining the shortest trip through another city only once and returning to the city of origin of departure. Search techniques are carried out at the same time on a number of solutions known as populations. Individuals in a population are called chromosomes. This genetic algorithm consists of several main procedures, namely the selection procedure, crossover, mutation and elitism. Based on research results, the shortest path is 1-2-3-6-5-4-7-8-9-10 where the path is Sunur, Kurai Taji, Lapai, Jati, Pasar Pariaman, Gelombang, Rawang, Pauh, Sei Pasak, dan Koto Marapak with a path length of 55.8342.

UJI AKURASI FOTO UDARA WAHANA UNMANNED AERIAL VEHICLE (UAV) DI PULAU ANGSO DUO SUMATERA BARAT Hendri Putrananda; Melladia
Journal of Scientech Research and Development Vol 2 No 2 (2020): JSRD, December 2020
Publisher : Ikatan Dosen Menulis

Foto udara Pulau Angso Duo dapat berperan sebagai bahan dasar untuk memperoleh berbagai informasi spasial yang bisa bermanfaat bagi pengelola pulau dan pemerintah setempat baik dalam upaya perencanaan konservasi maupun pembangunan. Informasi-informasi spasial yang dapat diperoleh misalnya lebar dan panjang garis pantai, luas daratan, tutupan vegetasi, penggunaan lahan, sebaran objek bangunan, dan lain sebagainya. Meskipun demikian namun informasi-informasi spasial tersebut belum bisa diperoleh sebelum dilakukan uji akurasi objek yang bertujuan untuk mengetahui tingkat ketelitian foto udara. Berdasarkan uji Omisi-Komisi yang dilakukan terhadap foto udara Pulau Angso Duo dapat diketahui bahwa tingkat ketelitian foto udara mencapai 95% dan layak untuk digunakan sebagai data geografis dasar dalam menghasilkan informasi- informasi secara spasial, dapat berperan sebagai bahan dalam kajian daya dukung lingkungan pulau untuk kegiatan wisata bahari, serta dapat digunakan untuk analisis-analisis tematik terhadap fenomena dan dinamika pada lingkungan pulau.

Perancangan Sistem Informasi Parawisata Kabupatean Pasaman Barat Menggunakan Framework Codeigniter Ilham Maulana Sukma; Melladia
Jurnal TEFSIN ( Jurnal Teknik Informatika dan Sistem Informasi) Vol. 1 No. 1 (2023): May 2023
Publisher : Fakultas Teknik Universitas Nahdlatul Ulama Sumatera Barat

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The Web of Tourism Information System of Pasaman Barat District is used as a tool in conveying information on tourism and cultural areas in the city of Pasaman to people who want to know or visit tourism areas in the city of Pasaman. The Web of Tourism Information System of Pasaman Barat District is a form of regional tourism promotion in the city of Pasaman, in order to attract tourists to visit the city of Pasaman. This research is expected to be useful as a medium of information and promotion of tourism potential in the city of Pasaman, so that people will be more familiar with regional tourism places in the city of Pasaman. The more tourists who visit, the income of the area and the surrounding community will increase. The research method used is through direct observation, interviews with related parties, and literature study related to the issues raised. The Web of Tourism Information System of Pasaman Barat District was created using the PHP and HTML programming languages with the MYSQL database.

Perancancangan Sistem Penanganan Penyakit Tanaman Padi Menggunakan Metode Case Based Reasoning Melladia, Melladia; Indah Febri Annisa; Sumiati, Sumiati
SATESI: Jurnal Sains Teknologi dan Sistem Informasi Vol. 4 No. 1 (2024): April 2024
Publisher : Yayasan Pendidikan Penelitian Pengabdian ALGERO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54259/satesi.v4i1.2948

Rice plant diseases are all diseases that occur in rice plants. One of the factors that causes rice productivity to decrease is disease that attacks rice plants. This research aims to design a web-based expert system for handling rice plant diseases using the Case Based Reasoning (CBR) method. The CBR method solves new problems by referring to solutions from previous cases through four main steps: retrieve, reuse, revise, and retain. Data was collected through interviews with experts and literature studies, then analyzed using CBR. The design process involves the use of PHP programming, while system testing is carried out to ensure compliance with the design. This system allows users to diagnose rice plant diseases based on input symptoms, such as Brown Planthoppers, Stem Mover Pests, Blast, and Sheath Blight, with a high level of accuracy. With this system, it is hoped that farmers can handle diseases in rice plants more efficiently, thereby increasing productivity and reducing losses. This system was built with 4 diseases with 18 symptoms that have different weights determined by experts. Case-Based Reasoning was developed from a similarity-based learning system. Based on Case-Based Reasoning method calculations, the similarity to brown planthopper disease was 0.84, stem mover was 0.85, blast was 0.46 and sheath blight was 0.85.

Perancangan Data Mart Analisis Data Nilai Siswa pada SMAN 2 Tebo Melladia, Melladia; Indah Febri Annisa; Surya Kharisma Karnefo
JUMINTAL: Jurnal Manajemen Informatika dan Bisnis Digital Vol. 3 No. 1 (2024): Mei 2024
Publisher : Yayasan Literasi Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55123/jumintal.v3i1.3501

Data Mart is designed to analyze, extract and turn data into information so that it can obtain hidden knowledge and patterns from the processing of available datacollected by researchers on student value data at SMA Negeri 2 Tebo which is difficult to solve using ordinary analysis techniques. With Data Mart, it can provide convenience in analysis which provides advice for schools, focused on top-level management administration in deciding on business decisions. Data Mart is also designed using the Data Warehousing Analysis Process strategy method which includes business drivers, business objectives, high level business information analysis, roles and processes, key performance indicators, dimensions and events and sources and transformation. Data Mart is designed to process the grades of school students at SMA Negeri 2 Tebo. By using a data mart to process student score data to be more effective and efficient and gain knowledge that is useful in making decisions to make future strategies and shorten the time in analysis, you will get the right result.

DIGITALISASI AGROWISATA BERBASIS WEBSITE DI FORUM PEMBERDAYAAN MASYARAKAT KELURAHAN LAMBUNG BUKIT Melladia; Indah Febri Annisa; Dertha Mukhtar
Prosiding Seminar Nasional Pengabdian Kepada Masyarakat Vol. 5 No. 1 (2024): PROSIDING SEMINAR NASIONAL PENGABDIAN KEPADA MASYARAKAT - SNPPM2024
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat Universitas Negeri Jakarta

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

Abstract The digitization of the agritourism sector has great potential to enhance information access and tourism promotion, especially in remote areas like Kelurahan Lambung Bukit, Pauh District, Padang City. The community service project conducted by the team from Nahdlatul Ulama University of West Sumatra aims to develop a digital website as an information and promotion platform for agritourism in this region. Challenges such as limited transportation access and insufficient organized information have made this agritourism destination less known to visitors. The project involved socialization and training for the local community to manage the website as a promotional and communication tool with visitors. The results showed that the community was able to effectively manage the website, playing a crucial role in increasing the visibility of Lambung Bukit agritourism. This digitization is expected to make it easier for visitors to access information, provide feedback, and expand promotion to areas beyond the province and even internationally. Therefore, website-based digitization has the potential to optimize local economic empowerment through increased tourism visits and community participation Keywords: Agrotourism; Digitization; Website; Universitas Nahdlatul Ulama Sumbar. Abstrak Digitalisasi di sektor agrowisata memiliki potensi besar untuk meningkatkan akses informasi dan promosi pariwisata, terutama di daerah yang kurang terjangkau seperti Kelurahan Lambung Bukit, Kecamatan Pauh, Kota Padang. Kegiatan Prmberdayaan Kemitraan Masyarakat yang dilakukan oleh tim Universitas Nahdlatul Ulama Sumatera Barat bertujuan untuk mengembangkan website berbasis digital sebagai wadah informasi dan promosi bagi agrowisata di wilayah tersebut. Tantangan yang dihadapi, seperti kurangnya akses transportasi dan minimnya informasi yang terorganisir, membuat destinasi agrowisata ini kurang dikenal oleh wisatawan. Pengabdian ini melibatkan sosialisasi dan pelatihan kepada masyarakat lokal dalam mengelola website sebagai sarana promosi dan komunikasi dengan pengunjung. Hasil akhir menunjukkan bahwa masyarakat telah mampu mengelola website dengan baik, yang berperan penting dalam meningkatkan visibilitas agrowisata Kelurahan Lambung Bukit. Digitalisasi ini diharapkan dapat mempermudah pengunjung dalam mengakses informasi, memberikan umpan balik, serta memperluas promosi hingga ke luar wilayah provinsi bahkan mancanegara. Dengan demikian, digitalisasi berbasis website berpotensi mengoptimalkan pemberdayaan ekonomi lokal melalui peningkatan kunjungan wisata dan partisipasi masyarakat. Kata Kunci: Agrowisata; Digitalisasi; Website; Universitas Nahdlatul Ulama Sumbar.

PREDIKSI PENJUALAN SPREI KASUR TOKO COCO ALUGADA MENGGUNAKAN METODE MONTE CARLO Eka Putra, Dian; Melladia, Melladia
Jurnal Teknologi Komputer dan Informasi Vol. 10 No. 2 (2022): Juli - Desember 2022
Publisher : Sekolah Tinggi Teknologi Dumai

Penjualan adalah sebuah kegiatan untuk mendapatkan keuntungan dengan menawarkan produk atau jasa kepada pembeli. Setiap produk atau jasa yang ditawarkan merupakan sesuatu yang dibutuhkan oleh setiap orang. Setiap bulan total sprei Kasur yang terjual itu berbeda-beda tergantung bagaimana kebutuhan setiap orang. Simulasi Monte Carlo digunakan untuk memprediksi penjualan sprei Kasur sehingga diketahui berapa stok sprei kasur yang harus disediakan setiap bulan pada tahun berikutnya. Data yang digunakan adalah data penjualan selama 3 tahun yang bersumber dari toko coco alugada. Data penjualan yang digunakan berbeda-beda setiap tahunnya. Metode yang digunakan adalah Monte Carlo dan bahasa pemograman yang digunakan adalah PHP untuk simulasi prediksi penjualan sprei. Tahapan awal dalam simulasi ini adalah menentukan distribusi probabilitas untuk setiap variabel. Kemudian distribusi kumulatif ditentukan untuk masing-masing variabel dan interval angka acak untuk tiap-tiap variabel. Selanjutnya bilangan acak dibentuk dan dibuat simulasi dari percobaan. Hasil dari pengujian yang dilakukan dari simulasi Monte Carlo tahun 2022 didapatkan tingkat akurasi prediksi sebesar 90%. Hasil penelitian ini dapat memprediksi total penjualan setiap bulanya pada tahun berikutnya. Pengujian yang dilakukan menjadi acuan untuk mempersiapkan stok sprei kasur untuk 6 bulan pada tahun berikutnya. Tingkat akurasi 90% dapat direkomendasikan untuk menetukan stok sprei kasur yang akan disediakan untuk 6 bulan pertama pada tahun berikutnya.

Co-Authors Annisa, Indah Febri Dertha Mukhtar Eka Putra, Dian Febri Annisa, Indah Febriyon Pratama, Vicky Hendri Putrananda Iis Roza Mardani Ilham Maulana Sukma Indah Febri Annisa Leila Muhelni Leila Muhelni Maharani, Syaputri Muhammad Afdal Muhelni, Leila Putrananda, Hendri Rahim, Radiyan Siregar, Reni Handayani Siska Aprilia Sumiati Sumiati Surya Kharisma Karnefo Tiara, Tiara Wendra , Yumai

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