Garuda - Garba Rujukan Digital

APLIKASI APLIKASI PENGOLAHAN DATA NILAI E-RAPORT PADA SMK TARUNA BUMI METRO BERBASIS WEB: Aplikasi Pengolahan Data Nilai E-Raport Pada SMK Taruna Bumi Metro Berbasis Web Pangestu, Dimas; Pahu, Gunayanti Kemala Sari Siregar; Sudarmaji, Sudarmaji
Jurnal Mahasiswa Ilmu Komputer Vol. 4 No. 1 (2023): Jurnal Mahasiswa Ilmu Komputer March 2023
Publisher : Universitas Muhammadiyah Metro

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

Abstrak : Tujuan penelitian yang dilakukan penulis pada SMK Taruna Bumi Metro menemukan permasalahan yang dimana penyimpanan datanya masih belum terstruktur, seperti pengisian nilai harian dan nilai leger masih menggunakan tulis tangan. tujuan penelitian yaitu merancang sebuah aplikasi pengolahan data nilai e-raport berbasis web. Penulis menggunakan metode kualitatif karena data penelitian diperoleh dari tempat penelitian, data kualitatif dapat dikumpulkan dengan cara analisis dokumen, wawancara, observasi, dan pemotretan gambar. Pada penelitian yang dilakukan di SMK Taruna Bumi Metro menemukan permasalahan dalam proses pengisian nilai harian siswa dan pengisian nilai leger masih dilakukan secara manual. sehingga penulis merancang sebuah aplikasi pengolahan data nilai E-Raport berbasis web. sehingga guru mapel dan wali kelas dapat mengisi nilai siswa dengan lebih terstruktur melalui aplikasi. Dalam pembuatan aplikasi e-raport ini menggunakan metode pengembangan SDLC (System Development Life Cycle) waterfall dengan bahasa pemrograman PHP dan HTML serta MySQL sebagai penyimpanan database, framework yang digunakan yaitu code igniter versi 3.1.11. visual studio code sebagai editor dan XAMPP versi 3.2.4. untuk menjalankan database MySQL serta web browser yang digunakan yaitu google chrome. Penulis dapat menyimpulkan bahwa tujuan dari penelitian ini telah menghasilkan sebuah aplikasi pengolahan data nilai e-raport pada SMK Taruna Bumi Metro berbasis web. aplikasi e-raport ini dapat diakses secara online oleh guru mata pelajaran, wali kelas, kepala sekolah, siswa, dan staff Tata usaha.Kata Kunci: Pengolahan Data Nilai; E-Raport; Visual Studio Code.ABSTRACT: The purpose of the Research conducted by the author at SMK Taruna Bumi Metro found problems where data storage is still not structured, such as filling in daily values and leger values using handwriting. The research objective is to design a web-based e-report value data processing application. The author uses qualitative methods because the research data is obtained from the site. Qualitative data can be collected through document analysis, interviews, observations, and photo shoots. A study conducted at SMK Taruna Bumi Metro found problems in filling in students daily scores, and filling in leger grades was still done manually. So the authors designed a web-based application for processing E-Report value data. So that subject teachers and homeroom teachers can fill in student grades in a more structured way through the application. In making this e-raport application using the waterfall SDLC development method with PHP and HTML programming languages and MySQL as database storage, the framework used is code igniter version 3.1.11. Visual studio code as an editor and XAMPP version 3.2.4 to run the MySQL database, and the web browser used is Google Chrome. The author can conclude that this research has been to produce a web-based application for processing the value of e-raport data at SMK Taruna Bumi Metro. This e-report application can be accessed online by subject teachers, homeroom teacher, school principals, student and administrative staff. accessed online by subject teachers, homeroom teachers, school principals, students, and administrative staff. Keywords: Value Data Processing; E-Raport; Visual Studio Code.

Implementasi Association Rules Untuk Market Basket Analysis Pada Toko “Hanael Embroidery” Pangestu, Dimas; Mardiansyah, Viddi
Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Vol 9, No 1 (2024): Edisi Februari
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/jurasik.v9i1.720

The extremely tight competition in the business world means that business people must consider the best strategies to face competition. The most appropriate and competitive strategy now is to use information technology. The Hanael Embroidery Shop wants to increase the sales of its products so that it can be taken into account by other business competitors. In its daily life, the Hanael Embroidery Shop employs administrative staff to manage product sales and find the most sold products. Determining the layout and combination of goods based on consumer purchasing tendencies is one of the shop's solutions in developing the right marketing strategy to increase sales. This shop needs an application that can display product sales reports, making it easier for shop selectors to determine the proper promotion for the product. This paper will test the use of data mining using the Apriori Algorithm method to find the frequency of itemsets in a data set. A priori algorithm method that can adjust input values according to the criteria for items that have predetermined support and confidence values. The Apriori algorithm is a data mining algorithm that can be used in association rules to determine frequent itemsets that function to help find patterns in data. By using the Apriori algorithm, we obtained a group of shop products that are frequently purchased by customers, namely "Salvia Sweater", "Hoya Sweater", and "Lupine Clutch Bag Embroidery". This association is obtained with a minimum support value of 10% and a confidence value of 20% from 357 transactions. Based on the results of the tests that have been carried out, the designed application is successful. It can provide input and information on product combinations that shop customers often purchase.

Penerapan Pengolahan Citra Digital Berbasis MATLAB untuk Sortasi Ukuran dan Warna Buah Alpukat: Harahap, Khaila Mukti; Pangestu, Dimas; Alfarizdi, Diaz; Iqbal, Farhan
Jurnal Pustaka Data (Pusat Akses Kajian Database, Analisa Teknologi, dan Arsitektur Komputer) Vol 5 No 1 (2025): Jurnal Pustaka Data (Pusat Akses Kajian Database, Analisa Teknologi, dan Arsitekt
Publisher : Pustaka Galeri Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55382/jurnalpustakadata.v5i1.967

Sortasi buah alpukat berdasarkan ukuran dan tingkat kematangan merupakan salah satu langkah penting dalam memastikan mutu hasil panen sebelum didistribusikan ke pasar. Penelitian ini merancang dan menguji sistem sortasi otomatis dengan memanfaatkan teknik pengolahan citra digital menggunakan perangkat lunak MATLAB. Gambar buah diambil menggunakan kamera digital sebagai input utama sistem. Tahapan pengolahan meliputi peningkatan kualitas citra, pemisahan objek dari latar belakang, serta analisis karakteristik warna dan ukuran buah. Warna dianalisis menggunakan model ruang warna HSV untuk mengidentifikasi tingkat kematangan, sementara ukuran dihitung berdasarkan luas dan dimensi buah dari citra yang telah diproses. Sistem ini berhasil mengelompokkan buah alpukat ke dalam beberapa kategori secara akurat, baik dari segi ukuran maupun warna. Hasil penelitian menunjukkan bahwa pendekatan ini efektif dan berpotensi diimplementasikan dalam proses sortasi buah secara otomatis, sehingga dapat meningkatkan efisiensi kerja serta konsistensi produk dalam industri pertanian.

Analisis Data Biologis dalam Mengidentifikasi Gen atau Protein yang Memiliki Pola Ekspresi Serupa Akmal, Muhammad Haikal; Pangestu, Dimas; Siregar, Dzilhulaifa; Harahap, Khaila Mukti; Furqan, Mhd.
Jurnal Pustaka Data (Pusat Akses Kajian Database, Analisa Teknologi, dan Arsitektur Komputer) Vol 5 No 1 (2025): Jurnal Pustaka Data (Pusat Akses Kajian Database, Analisa Teknologi, dan Arsitekt
Publisher : Pustaka Galeri Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55382/jurnalpustakadata.v5i1.1008

Ekspresi protein dalam data biologis umumnya memiliki kompleksitas tinggi dan dimensi besar, sehingga menyulitkan pengenalan pola secara langsung. Studi ini memanfaatkan algoritma Spectral Clustering untuk mengeksplorasi struktur tersembunyi dalam kumpulan data ekspresi protein. Langkah awal mencakup pembersihan data dengan imputasi nilai hilang menggunakan metode rata-rata serta normalisasi fitur numerik menggunakan StandardScaler. Dataset terdiri dari 1.080 observasi dan 77 atribut numerik hasil percobaan pada tikus. Proses pengelompokan dilakukan dengan pendekatan berbasis graf, menggunakan parameter empat klaster dan afinitas nearest neighbors. Selanjutnya, dilakukan reduksi dimensi melalui teknik Principal Component Analysis (PCA) untuk menghasilkan representasi dua dimensi yang mudah divisualisasikan. Hasil pengelompokan memperlihatkan pemisahan yang mencerminkan perbedaan biologis antar sampel. Hal ini menunjukkan bahwa metode tak terawasi seperti Spectral Clustering efektif dalam mengungkap struktur laten pada data ekspresi protein dan dapat menjadi dasar bagi analisis klasifikasi berbasis karakteristik biologis.

The Influence of Product Quality, Religiosity, And Word of Mouth on Purchase Decisions Through Brand Trust: A Study of Dea Bakery in Malang Pangestu, Dimas; Pradiani, Theresia; Hanif, Rifki
Jurnal Ekonomi Teknologi dan Bisnis (JETBIS) Vol. 4 No. 8 (2025): JETBIS : Journal of Economics, Technology and Business
Publisher : Al-Makki Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57185/jetbis.v4i8.195

In an increasingly competitive business environment, companies are required to retain customers and influence their purchasing decisions. This is especially relevant in the food and beverage industry, which faces intense market competition. For Dea Bakery, understanding the factors that influence consumer purchasing decisions is essential for formulating effective marketing strategies and fostering customer loyalty. This study aims to analyze the influence of product quality, religiosity, and word of mouth on purchase decisions, with brand trust serving as a mediating variable among Dea Bakery consumers in Malang City. The research employs a quantitative method using the Structural Equation Modeling–Partial Least Squares (SEM-PLS) approach. The sampling technique used is purposive sampling, with criteria including respondents who have previously purchased Dea Bakery products. The final sample consists of 100 respondents, with data collected through the distribution of questionnaires. Data analysis includes validity and reliability testing, encompassing Measurement Model Evaluation (convergent validity, construct reliability using Composite Reliability [CR], and discriminant validity). The Structural Model Evaluation (Inner Model) involves R-Square (R²) testing, direct hypothesis testing (path coefficients and t-statistics), indirect hypothesis testing (mediation analysis), and significance testing via bootstrapping. The results indicate that: 1) Product quality, religiosity, and word of mouth each have a significant influence on brand trust; 2) Brand trust has a significant influence on purchase decisions; and 3) Product quality, religiosity, and word of mouth significantly influence purchase decisions through brand trust as a mediating variable.

The Influence of Product Quality, Religiosity, And Word of Mouth on Purchase Decisions Through Brand Trust: A Study of Dea Bakery in Malang Pangestu, Dimas; Pradiani, Theresia; Hanif, Rifki
Jurnal Ekonomi Teknologi dan Bisnis (JETBIS) Vol. 4 No. 8 (2025): Jurnal Ekonomi, Teknologi dan Bisnis
Publisher : Al-Makki Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57185/jetbis.v4i8.195

In an increasingly competitive business environment, companies are required to retain customers and influence their purchasing decisions. This is especially relevant in the food and beverage industry, which faces intense market competition. For Dea Bakery, understanding the factors that influence consumer purchasing decisions is essential for formulating effective marketing strategies and fostering customer loyalty. This study aims to analyze the influence of product quality, religiosity, and word of mouth on purchase decisions, with brand trust serving as a mediating variable among Dea Bakery consumers in Malang City. The research employs a quantitative method using the Structural Equation Modeling–Partial Least Squares (SEM-PLS) approach. The sampling technique used is purposive sampling, with criteria including respondents who have previously purchased Dea Bakery products. The final sample consists of 100 respondents, with data collected through the distribution of questionnaires. Data analysis includes validity and reliability testing, encompassing Measurement Model Evaluation (convergent validity, construct reliability using Composite Reliability [CR], and discriminant validity). The Structural Model Evaluation (Inner Model) involves R-Square (R²) testing, direct hypothesis testing (path coefficients and t-statistics), indirect hypothesis testing (mediation analysis), and significance testing via bootstrapping. The results indicate that: 1) Product quality, religiosity, and word of mouth each have a significant influence on brand trust; 2) Brand trust has a significant influence on purchase decisions; and 3) Product quality, religiosity, and word of mouth significantly influence purchase decisions through brand trust as a mediating variable.

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