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All Journal International Journal of Evaluation and Research in Education (IJERE) snimed Jurnal Teknoin SMARTICS Journal Jurnal Nasional Komputasi dan Teknologi Informasi JMIE (Journal of Madrasah Ibtidaiyah Education) Jurnal Ilmiah Sinus Indonesian Journal of Business Intelligence (IJUBI) Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) IJIIS: International Journal of Informatics and Information Systems Jurnal Teknik Industri Terintegrasi (JUTIN) International Journal of Computer and Information System (IJCIS) Jurnal Informatika Teknologi dan Sains (Jinteks) Khazanah: Jurnal Mahasiswa Malcom: Indonesian Journal of Machine Learning and Computer Science Jurnal Pengabdian Kolaborasi dan Inovasi IPTEKS Journal of Computing Innovations and Emerging Technologies
Dhina Puspasari Wijaya, Dhina Puspasari
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Implementasi Algoritma Eclat dalam Menilai Kemampuan Membaca Al-Qur’an pada Tingkat Mahasiswa Universitas Alma Ata Nurona, Atmim; Wijaya, Dhina Puspasari; Prastowo, Wahit Desta; Izzah, Lathifatul
Jurnal Nasional Komputasi dan Teknologi Informasi (JNKTI) Vol 7, No 4 (2024): Agustus 2024
Publisher : Program Studi Teknik Komputer, Fakultas Teknik. Universitas Serambi Mekkah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32672/jnkti.v7i4.7844

Abstract

Abstrak - Pengimplementasian algoritma dalam sebuah website merupakan salah satu langkah yang krusial untuk mengoptimalkan fungsionalitas serta efisiensi pada suatu sistem.Dalam penelitian ini bertujuan untuk mengembangkan sistem penilaian dan pencarian pola,yakni untuk mempermudah penilaian dan membentuk pola kemampuan membaca Alquran pada Tingkat mahasiswa Universitas Alma Ata Yogyakarta. Sistem ini digunakan oleh admin LPBA dengan menginputkan nilai secara otomatis tanpa harus menginputkan secara manual. Menggunakan Algoritma Eclat berdasarkan frequent itemset yang terbentuk dan ditambahkan dengan nilai support dan nilai confidence yang bertujuan untuk mengukur hubungan antar dua atribut atau lebih, sehingga akan menentukan pola-pola, serta korelasi antar item set. Dengan menggunakan TID List di setiap item kemudian disusun secara vertikal maka akan menghasilkan kombinasi item yang terbentuk dan dilanjutkan ke perhitungan selanjutnya sampai mendapatkan rule hasilnya. Hasil penelitian ini menghasilkan sebuah website dengan mengimplementasikan Algoritma Eclat untuk menghitung dan mencari pola yang terbentuk dari nilai-nilai yang diinputkan, akan menghasilkan suatu pola yang bisa digunakan untuk memetakan bagaimana kemampuan membaca Al-Qur’an pada mahasiswa Universitas Alma Ata, sehingga ketika sudah mendapatkan polanya maka akan mempermudah pemfokusan dari suatu kriteria yang telah ditentukan berdasarkan hasil nilai yang didapatkan.Kata kunci: Algoritma,Eclat,Penilaian,Pola,Website Abstract  - Implementation of algorithm in a website is a crucial step to optimize functionality and efficiency in a system.This research aims to develop a grading and pattern search system to facilitate the assessment and form patterns of Quran reading skills at the university level at Alma Ata University, Yogyakarta. This system is used by the LPBA admin to input grades automatically without manual input. The Eclat Algorithm is used based on the frequent itemsets formed, and it is supplemented with support and confidence values to measure the relationship between two or more attributes, which will determine patterns and correlations between itemsets. By using the TID List for each item, which is then arranged vertically, it will produce item combinations that are formed and then proceed to the next calculation until the resulting rule is obtained. The result of this research is a website that implements the Eclat Algorithm to calculate and search for patterns formed from the input values, which will result in patterns that can be used to map the Quran reading abilities of Alma Ata University students. Once the pattern is obtained, it will facilitate focusing on specific criteria based on the obtained grades. Keywords: Algorithm,Eclat,Assessment,Patterns,Website
Sistem Pendukung Keputusan Pemilihan Siswa Berprestasi Paralel Menggunakan Metode Preference Selection Index (Studi Kasus: MTs Nur Iman Mlangi) Andari, Rachma Yuni; Danianti, Dita; Wijaya, Dhina Puspasari; Pramuntadi, Andri
Jurnal Nasional Komputasi dan Teknologi Informasi (JNKTI) Vol 7, No 4 (2024): Agustus 2024
Publisher : Program Studi Teknik Komputer, Fakultas Teknik. Universitas Serambi Mekkah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32672/jnkti.v7i4.7777

Abstract

Abstrak - MTs Nur Iman Mlangi menyelenggarakan pemilihan siswa berprestasi paralel, yaitu siswa yang berhasil mencapai prestasi, baik nilai rapor, kedisiplinan, maupun akhlak sesuai dengan kriteria yang ditentukan. Dalam membantu pemilihan dalam penetapan siswa berprestasi paralel maka dibutuhkan Sistem Pendukung Keputusan (SPK) yang membantu memudahkan sekolah dalam memilih calon siswa berprestasi secara efisien waktu. Metode yang digunakan adalah Metode Preference Selection Index (PSI). Metode PSI mampu menyelesaikan masalah dengan multikriteria dengan tahapan penentuan bobot berada di tengah proses analisa data. Sehingga PSI dapat memastikan bobot yang digunakan dalam perhitungan akhir adalah representasi akurat dari masing-masing kontribusi terhadap hasil keseluruhan. Tujuan penelitian ini adalah mengembangkan sistem pendukung keputusan pemilihan siswa berprestasi paralel menggunakan metode PSI pada MTs Nur Iman Mlangi sehingga model pengembangan sistem yang cocok dengan rumusan masalah adalah model Waterfall. Model Waterfall terdiri atas tahapan analisis, perancangan, implementasi dan pengujian. Keluaran sistem disajikan dalam bentuk hasil angka perhitungan PSI yang dapat dipertimbangkan lebih lanjut oleh pihak pengambil keputusan. SPK dibangun berbasis website yang dirancang menggunakan software Visual Studio Code (text editor), Database Managament System (DBMS) MySQL Xampp 7 dan bahasa pemrograman PHP. Berdasarkan hasil penelitian yang dilakukan, dalam didapatkan 3 nilai tertinggi siswa yang akan diberikan reward pada akhir tahun pelajaran.Kata kunci: Preference Selection Index, Sistem Pendukung Keputusan, Siswa Berprestasi Paralel Abstract - MTs Nur Iman Mlangi organizes the selection of parallel outstanding students, who achieve excellence in academic grades, discipline, and moral conduct according to predetermined criteria. To aid in the selection process of these outstanding students, a Decision Support System (DSS) is required to facilitate efficient and time-effective decision-making. The method employed in this research is the Preference Selection Index (PSI). The PSI method addresses multicriteria decision-making problems, with the weight determination step integrated into the data analysis process. Thus, PSI ensures that the weights used in the final calculations accurately represent the contributions of each criterion to the overall result. The objective of this research is to develop a decision support system for selecting parallel outstanding students using the PSI method at MTs Nur Iman Mlangi. The suitable system development model for this problem formulation is the Waterfall model, which comprises the stages of analysis, design, implementation, and testing. The system output is presented as PSI calculation results, which decision-makers can further consider. The DSS is web-based, designed using Visual Studio Code (text editor), MySQL Xampp 7 as the Database Management System (DBMS), and PHP as the programming language.Keywords: Preference Selection Index, Decision Support System, Parallel Outstanding Students
ELEMENTARY/MIDDLE SCHOOL TEACHERS' UNDERSTANDING OF SEX EDUCATION BASED ON LIVING VALUE EDUCATION (LVE) IN YOGYAKARTA Apriani, An-Nisa; Putri, Mufida Awalia; Heksaputra, Dadang; Wijaya, Dhina Puspasari; Emiliana, Emiliana; Ramadan, Muchammad Ilham Rahmad
JMIE (Journal of Madrasah Ibtidaiyah Education) Vol 8, No 2 (2024): JMIE (JOURNAL OF MADRASAH IBTIDAIYAH EDUCATION)
Publisher : PD PGMI se Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32934/jmie.v8i2.659

Abstract

Teachers' understanding of sex education and its implementation in learning is very important for primary school students. Teachers should know about the knowledge and attitude towards what sex education is and how it is implemented. The purpose of this study was to reveal teachers' knowledge about sex education based on Living Value Education (LVE) and implement it in learning sex education. This research method is descriptive survey type for exploratory or exploratory purposes. The data collection technique uses a questionnaire in the form of a google form. The questionnaire in this case includes teachers' understanding of LVE-based sex education in accordance with the validated grids. The population of this study included all primary school level teachers in DIY Province. The sample technique selected using Purposive sampling.  The research subjects who constituted the research sample were 248 teachers consisting of class teachers, subject teachers, and co-curricular teachers of elementary schools and madrasah ibtidaiyah from 51 schools/madrasas in 4 districts and 1 city, namely Sleman Regency, Kulon Progo Regency, Bantul Regency, Gunung Kidul Regency, and Yogyakarta City. Data analysis used descriptive statistics which were then converted into 4 categories. The results of the average number of scores (X) amounted to 130.64, which is in category B (Good). This means that the teacher's ability to understand LVE-based sex education is good and has the awareness to implement it. 
SOSIALISASI PENCEGAHAN PENYAKIT TBC DI DUSUN JETIS-KAWIRAN, DESA RAMBEANAK, KEC.MUNGKID, MAGELANG Yahya, Abdullah; Wijaya, Dhina Puspasari; Anam, Khoirul; Wahyu A, Nova Laila; Rianita, Risti Nindi
Jurnal Pengabdian Kolaborasi dan Inovasi IPTEKS Vol. 1 No. 5 (2023): Oktober
Publisher : CV. Alina

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59407/jpki2.v1i5.121

Abstract

Tuberkulosis (TBC) tetap menjadi masalah kesehatan global yang signifikan, meskipun upaya pencegahan dan pengendalian yang telah dilakukan. Penyakit ini disebabkan oleh bakteri Mycobacterium tuberculosis dan dapat mempengaruhi berbagai organ tubuh manusia. Pencegahan penyakit TBC memegang peranan penting dalam mengurangi beban penyakit dan penyebarannya. Pencegahan penyakit TBC memerlukan pendekatan holistik yang melibatkan kerjasama antara sektor kesehatan, masyarakat, dan pemerintah.
RANCANG BANGUN SISTEM PEMESANAN JASA FOTOGRAFI DAN VIDEOGRAFI BERBASIS WEBSITE Riskiah, Putri Maulidatur; Wijaya, Dhina Puspasari; Gutama, Deden Hardan; Pramuntadi, Andri
Jurnal Informatika Teknologi dan Sains (Jinteks) Vol 7 No 2 (2025): EDISI 24
Publisher : Program Studi Informatika Universitas Teknologi Sumbawa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51401/jinteks.v7i2.5320

Abstract

Clicks Studio, penyedia layanan fotografi dan videografi di Malang, menghadapi kendala dalam proses pemesanan yang masih dilakukan secara manual, pencatatan data yang belum optimal, serta kurangnya sistem informasi yang terstruktur untuk mengelola pelanggan. Penelitian ini bertujuan untuk merancang dan membangun sistem pemesanan jasa fotografi dan videografi berbasis website guna meningkatkan efisiensi dalam proses pemesanan, memberikan kemudahan kepada pelanggan dalam mengakses layanan, menyediakan fitur pembayaran yang lebih praktis serta mendukung pengelolaan data dan operasional studio secara lebih terorganisir. Metode pengembangan sistem yang digunakan adalah Waterfall, yang meliputi tahapan analisis kebutuhan, perancangan, implementasi, pengujian, dan pemeliharaan. Hasil penelitian menunjukkan bahwa sistem berbasis website ini dapat meminimalisir kesalahan pemesanan, mempercepat pengelolaan data pelanggan, serta meningkatkan kepercayaan dan kepuasan pelanggan. Implementasi sistem ini diharapkan dapat mendukung transformasi digital dalam industri fotografi dan videografi, khususnya di Kota Malang.
Sequential Modeling of News Headlines and Descriptions for Multi-Class Classification Pradana, Musthofa Galih; Saputro, Pujo Hari; Wijaya, Dhina Puspasari
International Journal of Computer and Information System (IJCIS) Vol 6, No 2 (2025): IJCIS : Vol 6 - Issue 2 - 2025
Publisher : Institut Teknologi Bisnis AAS Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29040/ijcis.v6i2.229

Abstract

Automatic classification of news content plays a vital role in organizing and filtering data for various applications such as news recommendation systems and media monitoring. This study investigates the use of Recurrent Neural Networks (RNN) and sequential modeling for multi-class classification of news data. A dataset consisting of 12,000 news sentences, categorized into four distinct classes politics, economy, sports, and technology was utilized for training and evaluation. The research focuses on comparing the performance of RNN models without optimization techniques and RNNs enhanced through optimizer implementation and sequence modeling. The baseline RNN model, trained without any optimizer or sequence enhancements, achieved a classification accuracy of 89%. By incorporating optimizer functions and leveraging sequential dependencies in both news headlines and descriptions, the proposed model demonstrated a 1% improvement, achieving an overall accuracy of 90%. These findings indicate that even a slight enhancement in modeling temporal dependencies and optimization can result in measurable gains in multi-class classification performance. The sequential combination of news headlines and descriptions is shown to be an effective strategy for capturing contextual features that improve the model’s predictive accuracy. This research contributes to the field of natural language processing by highlighting the effectiveness of sequential modeling and optimization in neural network-based text classification systems.
Klasifikasi Menggunakan Metode Random Forest untuk Awal Deteksi Diabetes Melitus Tipe 2 Iskandar, Reza Fauzan Nur; Gutama, Deden Hardan; Wijaya, Dhina Puspasari; Danianti, Dita
Jurnal Teknik Industri Terintegrasi (JUTIN) Vol. 7 No. 3 (2024): July
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jutin.v7i3.26916

Abstract

Type 2 diabetes mellitus (T2DM) is a chronic disease with increasing prevalence. Early detection of DMTP2 is crucial in managing and preventing this disease. In this study, we propose the use of Random Forest method for early classification of T2DM based on risk factors. The dataset was obtained from UPTD Puskesmas Jatiroto with a total of 1111 data with 6 attributes of DMTP2 factors and 1 label. In the pre-processing stage, initial data processing includes cleaning missing values, feature engineering, and separation of training and test data. Next, the Random Forest model is trained using data that has been validated using K-Fold Cross Validation. Experimental results show that the proposed model produces an average accuracy of each fold of 97%. The final stage of evaluating the model by calculating precission, recall, and F1-Score, respectively, obtained results of 95%, 97%, and 96%. Model evaluation focuses on predicted labels so that the model can predict well in the case of DMTP2 problems based on similar data configurations.
Perancangan Sistem Prediksi Pembelian Stok Masker dengan Metode Fuzzy Mamdani (Studi Kasus: Ud Masker Murah Jogja) Asman, Muhammad; Guatama, Deden Hardan; Wijaya, Dhina Puspasari; Pramuntadi, Andri
Jurnal Teknik Industri Terintegrasi (JUTIN) Vol. 6 No. 3 (2023): July 2023
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jutin.v6i3.16647

Abstract

This research aims to design a fuzzy Mamdani-based prediction system to assist in stock management decision-making for masks at UD MASKER MURAH JOGJA. The system will provide recommendations for mask brands with the highest sales and revenue. The fuzzy Mamdani method is considered effective in addressing subjectivity and providing highly precise mask stock predictions. This research will also consider profit variables as additional attributes to enhance prediction accuracy. The prediction system will help UD MASKER MURAH JOGJA make informed decisions in mask stock management, with the goal of maximizing profits and overcoming subjectivity. The results obtained from the fuzzy Mamdani method will reduce subjectivity, and the developed web system will function as intended.
Sistem Informasi Perpustakaan Menggunakan Algoritma Pencarian Knuth Morris Paratt (KMP) dalam Pencarian Judul Buku (Studi Kasus: Perpustakaan Universitas Alma Ata) Sumanto, Sumanto; Gutama, Deden Hardan; Wijaya, Dhina Puspasari; Pramuntadi, Andri
Jurnal Teknik Industri Terintegrasi (JUTIN) Vol. 7 No. 3 (2024): July
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jutin.v7i3.31229

Abstract

This research aims to develop an Online Public Access Catalog (OPAC) website at the Alma Ata University library using the Knuth Morris Pratt (KMP) algorithm as the book title search method. The research method used is quantitative, with a focus on understanding the user interaction with the developed OPAC website. Data is collected through testing to evaluate user interactions with the website. The testing is conducted to evaluate the effectiveness and quality of user interactions with the website, with the test results analyzed qualitatively to understand the performance and user satisfaction with the OPAC module. The contribution of this research lies in the development of library information systems, especially in improving accessibility and effectiveness of book title searches for users. It is hoped that by using the Knuth Morris Pratt (KMP) algorithm, the OPAC module website can provide accurate search results and enhance the user experience in searching for books at the Alma Ata University library in Yogyakarta
Implementasi Algoritma Topsis pada Decision Support System Pemilihan Perguruan Tinggi Swasta Program Studi Informatika/Teknik Informatika Widodo, Sri; Gutama, Deden Hardan; Wijaya, Dhina Puspasari; Prastowo, Wahit Desta
Jurnal Teknik Industri Terintegrasi (JUTIN) Vol. 7 No. 3 (2024): July
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jutin.v7i3.31295

Abstract

PDDIKTI noted that the number of new students in Indonesia has continued to increase since the academic year 2016/2017. The increase in the number of new students every year proves that the level of public awareness of the importance of education is increasing. On this basis, the author initiated the design of a system that could be used by prospective new students or students who have completed in Higher Secondary School educators and their equivalents. The system the author designed is a Decision Support System by implementing topsis algorithms on its calculations. The result of this research is a system of decision support for the selection of PTS specialized program of study in Informatics/Technology.
Co-Authors Adhien Kenya Anima Estetikha Aditya, Muhammad Fahrul Ahmad Subhan Yazid Amalia, Ade An-Nisa Apriani Andari, Rachma Yuni Andi Wahyudi Andri Pramuntadi Andri Pramuntadi Anni Karimatul Fauziyah Asdistia, Sindy Avrillaila Akbar Harahap Dadang Heksaputra Dadang Heksaputra Dadang Heksaputra Deden Hardan Gautama Deviani Titi Nautami Dita Danianti Dita Danianti Doni Harisandi Emiliana, Emiliana Febriani, Hilda Amalia Guatama, Deden Hardan Gutama , Deden Hardan Gutama, Deden Hardan Gutama, Deden Hardan Handy Eka Putra Anwar Haq, Fariz Abdillah Heksaputra, Dadang Imam Ihsani Insih Wilujeng Iskandar, Reza Fauzan Nur Iskarini, Ariska istiqomah istiqomah izzah, lathifatul Izzati Muhimmah Juansa, Andra KHOIRUL ANAM M. J. U. Haris Bahrudin Muhamad Irfanudin Muhammad Nur Wangid Musthofa Galih Pradana Nurona, Atmim Nurul Mega Saraswati Oktaviana, Agfa Permana, Candra Pipit Febriana Dewi Pramuntadi, Andri Prastowo, Wahit Desta Pujo Hari Saputro Putri, Mufida Awalia Ragil Satria Wicaksana Rahadian Kurniawan Ramadan, Muchammad Ilham Rahmad Rianita, Risti Nindi Riskiah, Putri Maulidatur Safitri, Eli Safitri, Nurul Aulia Salis Nizar Qomaruzaman Sari, Icha Puspita Sari, Mega Purnama Setiawan P, Andi Sri Kusumadewi Sri Nilawati Sri Widodo Sumanto Sumanto Syamsiar, Syamsiar Wahyu A, Nova Laila Wasilaturrohmah, Wasilaturrohmah Yahya, Abdullah Yanuar Wicaksono Yusinta Dwi Ariyani Yusnita, Shella