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All Journal Format : Jurnal Imiah Teknik Informatika Jurnal Ilmiah FIFO Jurnal Informatika Universitas Pamulang Zonasi: Jurnal Sistem Informasi Indonesian Journal of Data and Science Jurnal Informatika Progres
Danuputri, Chyquitha
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Humanities Computer Science & IT Decision Sciences, Operations Research & Management Environmental Science Languange, Linguistic, Communication & Media Mathematics

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Aplikasi Pemecahan Soal Sudoku dengan Metode Backtracking Danuputri, Chyquitha; Santosa, Nico
Jurnal Informatika Universitas Pamulang Vol 6, No 3 (2021): JURNAL INFORMATIKA UNIVERSITAS PAMULANG
Publisher : Teknik Informatika Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/informatika.v6i3.10686

Abstract

In solving a puzzle requires dexterity, intelligence, and time depending on the difficulty of the puzzle to be solved, one of the popular puzzles is sudoku. This puzzle game often takes a long time to complete, especially at high difficulty levels. To solve puzzle problems more quickly and efficiently, a backtracking algorithm can be applied, which is a systematic logical sequence used to find a solution to a problem where there are several possible solutions. This research is meant to test the backtracking ability in solving sudoku problems at extreme difficulty levels and to test the speed of the backtracking algorithm in solving sudoku problems at extreme difficulty levels. In the application test, 20 questions were used and from testing the 20 questions, the accuracy rate of solving sudoku questions was 100%, while for the length of time for solving sudoku questions, the average length of time was 0.0880295 seconds. The application made is a desktop-based application made by Python programming language and PyGame library to create a user interface.
Analisis perbandingan Reduction Technique dengan metode Dimentional Reduction dan Cross Validation pada dataset Breast Cancer Sulistya, Yudha Islami; Danuputri, Chyquitha
Indonesian Journal of Data and Science Vol. 3 No. 2 (2022): Indonesian Journal of Data and Science
Publisher : yocto brain

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56705/ijodas.v3i2.41

Abstract

Machine learning (ML) merupakan bidang ilmu yang memungkinkan komputer dalam mengembangkan sebuah sistem yang dapat belajar dari data. Dalam ML sendiri banyak teknik sangat berperan penting dalam pengembangan machine ML salah satunya adalah teknik reduksi yang dimana membuat sistem lebih baik dari data yang telah di reduksi. Penelitian ini bertujuan membandingkan performa teknik reduksi dengan metode dimentional reduction dan cross validation pada dataset breast cancer. Dimentional reduction merupakan teknik yang menyederhanakan feature atau mengurangi dimensi pada dataset sedangkan cross validation merupakan metode yang digunakan untuk memaksimalkan hasil dari prediksi pada suatu model. Setalah melakukan tahapan-tahapn dalam pengujian dengan dimentional reduction dan cross validation menggunakan algoritma K-Nearest Neighbors dengan dataset breast cancer berjumlah 500. Hasil yang diperolah untuk dimentional reduction akurasi rata-rata pada model 95.2%, sedangkan pada cross validation 96.6%.
Game Visual Novel Edukasi Dengan Algoritma Fuzzy Mamdani Setiawan, Jodi; Danuputri, Chyquitha; Hakim, Lukman
FORMAT Vol 13, No 1 (2024)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/format.2024.v13.i1.009

Abstract

Lack of interest in learning is one of the obstacles experienced by students that can affect learning power and cause students' ability to capture learning material to be hampered. Calculus is one of the subjects that is considered quite difficult due to the lack of interest in learning and the lack of basic knowledge of this course. Visual novel is a game genre that focuses on the interaction between characters and the story of the game in which it is possible for branching of stories to occur and also mini games which in this study use quizzes. Fuzzy Mamdani algorithm that can change input parameters in the form of fuzzy values into a solution can be applied to visual novels to determine the route of the story in the game. The development of the game using Multimedia Development Life Cycle (MDLC) and is made using the Unity game engine. The implementation of the fuzzy Mamdani algorithm to determine the route of the game is implemented in two parts, calculating the final value of the chapter with the parameters obtained when the user takes the quiz – the number of correct answers and processing time to determine the storyline at the end of the chapter –  and determination of the final value of the game –   using parameters of the average value of chapter result and accumulation of additional questions that can be answered correctly by the user. The comapred results between manual and program calculation shows the same result.
Perancangan Website E-Commerce Dengan Pemanfaatan Framework Codeigniter Pada Di Chemistry Merch Sukamto, Anton; Nurachmad, Edi; Mulyana, Ade; Arieswanto, Jenny; Danuputri, Chyquitha
FORMAT Vol 14, No 1 (2025)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/format.2025.v14.i1.010

Abstract

Facing extraordinary online-based trade in the current era requires information systems and information technology that are very adequate for the needs of suppliers, sellers or buyers. The same thing is faced by Chemistry Merch which operates in the online trading sector. Maximizing this technology is intended to facilitate interaction between companies and consumers. Apart from that, the product is widely known by the wider community and even throughout the world. Utilization of software in the form of PHP, Microsoft Visual Studio Code, Xampp and supported by the Codeigniter framework, UML and use case diagrams further clarifies procedures for selling and disseminating information in web form. The expected results start from design to input analysis, process analysis, output analysis and information technology architecture needs analysis, namely in the form of a web that contains the complete needs of consumers.
PENERAPAN ALGORITMA K-NEAREST NEIGHBOR DALAM ANALISIS PEMINJAMAN BARANG PADA DIVISI INVENTARIS TVRI MAKASSAR Risal; Danuputri, Chyquitha; Darniati; AM Hayat, Muhyiddin
PROGRESS Vol 17 No 2 (2025): September
Publisher : P3M STMIK Profesional Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56708/progres.v17i2.474

Abstract

Inventory management in the TVRI Makassar Inventory Division is inefficient due to the lack of a predictive system, hampering proactive asset requirement planning. This study aims to apply the K-Nearest Neighbor (KNN) algorithm to analyze historical borrowing patterns, predict demand for goods three months in advance, and evaluate model accuracy. Using a quantitative approach, this study implements a systematic machine learning workflow, including data preprocessing, temporal feature engineering, class imbalance handling using the Synthetic Minority Over-sampling Technique (SMOTE), and hyperparameter optimization using GridSearchCV. The results show that the optimized KNN model achieved an overall accuracy of 80.18%, significantly outperforming the baseline model. Key findings revealed that the model's performance is contextual, with very high reliability (F1-Score > 0.95) on frequently borrowed assets, and is able to identify strong temporal demand patterns. It is concluded that KNN is effective for segmented inventory demand prediction and has the potential to serve as a basis for TVRI Makassar to adopt a proactive, data-driven inventory management strategy, enabling more efficient resource allocation.
Sentimen Analisis Mengenai Polusi Udara Menggunakan Algoritma Support Vector Machine dan Random Forest Hakim, Lukman; Dalimunthe, Muhammad Variansjah; Danuputri, Chyquitha; Widyaningrum, Destriana
Jurnal Ilmiah FIFO Vol 15, No 2 (2023)
Publisher : Fakultas Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/fifo.2023.v15i2.001

Abstract

Air pollution is the contamination of indoor or outdoor environments with chemical, physical, or biological substances that change the natural properties of the atmosphere. Domestic incinerators, cars, motorbikes, combustion products from factory processing, waste burning, and forest fires are common sources of air pollution. In Indonesia, there is no doubt that air pollution occurs because of the many forest fires in Indonesia. As a result of this case, many people's opinions differ. Various sentiments occur in cyberspace, one of which is Twitter. Twitter is the social media that accommodates the most various kinds of positive, negative and neutral opinions. Therefore, researchers want to solve the problem by implementing the SVM and Random Forest algorithms. The dataset was obtained from scrapping results using tweet harvest. The data obtained was 5545 tweets. By dividing the dataset model by 80% and 20%, the results showed that the accuracy of the SVM algorithm was better than the Random Forest algorithm. The accuracy of the SVM algorithm is 83% while the Random Forest algorithm is 81%.
RANCANG BANGUN ALAT DETEKSI GAS BERACUN DENGAN ALGORITMA SIMPLE ADDITIVE WEIGHTING Stevanus Susilo, Willy; Danuputri, Chyquitha; Hakim, Lukman; Pramana Thenata, Angelina
ZONAsi: Jurnal Sistem Informasi Vol. 5 No. 1 (2023): Publikasi artikel ZONAsi: Jurnal Sistem Informasi Periode Januari 2023
Publisher : Universitas Lancang Kuning

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31849/zn.v5i1.12706

Abstract

Dengan pesatnya perkembangan teknologi, membuat umat manusia menghasilkan semakin banyak emisi gas polutan. Kualitas udara terutama di perkotaan dan permukiman penduduk yang semakin memburuk juga berdampak serius bagi kesehatan paru-paru yang dapat menyebabkan penyakit pernapasan fatal hingga meninggal. Penelitian ini berfokus membangun sistem untuk mendeteksi dan memberi notifikasi berupa peringatan jika udara di sekitar sudah diatas ambang batas aman dan berbahaya berdasarkan 2 jenis gas yaitu karbon monoksida dan ozon dengan implementasi algoritma Simple Additive Weighting. Tak hanya itu, alat ini dirancang dengan fleksibilitas dan skalabilitas yang tinggi agar mudah dikembangkan lebih jauh. Hasil perancangan dan pengembangan dari alat dalam penelitian ini menunjukkan alat dapat bekerja dengan baik dari sisi perangkat keras maupun perangkat lunak dan algoritma yang diterapkan. Namun, untuk mendapatkan pembacaan sensor gas yang akurat, diperlukan proses kalibrasi dengan alat khusus yang hanya ada di laboratorium BSN (Badan Standar Nasional) dan BRIN (Badan Riset dan Inovasi Nasional) di Puspitek. Akhirnya, peneliti memutuskan untuk melakukan penyesuaian nilai pembacaan sensor dengan sensor di stasiun kualitas udara milik KLHK (Kementerian Lingkungan Hidup dan Kehutanan). Hasilnya, sensor gas karbon monoksida memiliki selisih sebesar ± 8,65% jika dibandingkan dengan nilai dari sensor milik KLHK, sedangkan pada sensor gas ozon memiliki selisih sebesar ± 14,61%.
IMPLEMENTASI PENGUJIAN LEARNING MANAGEMENT SYSTEM APLIKASI PEMBELAJARAN JARAK JAUH BERBASIS MOODLE DI UNIVERSITAS XYZ Hakim, Lukman; Lumba, Ester; Danuputri, Chyquitha
ZONAsi: Jurnal Sistem Informasi Vol. 5 No. 1 (2023): Publikasi artikel ZONAsi: Jurnal Sistem Informasi Periode Januari 2023
Publisher : Universitas Lancang Kuning

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31849/zn.v5i1.12760

Abstract

Increasing learning by innovating internet-based information technology and e-learning, providing convenience in increasing learning flexibly without space and time limits, implementing distance learning that is officially licensed by the government, providing fresh air for universities or institutions in developing Innovative applications using the Moodle LMS are more interactive and customized. Writing this article uses an experimental method by designing a moodle LMS with domain hosting in Informatics study program, implementing Moodle LMS to find out how far the comparison is between blended learning which is currently used at XYZ University, based on test results by distributing questionnaires to informatics students, the average usability value is obtained -average 92.1%.
Co-Authors . Darniati Ade Mulyana, Ade Arieswanto, Jenny Dalimunthe, Muhammad Variansjah Destriana Widyaningrum Ester Lumba Lukman Hakim Muhyiddin A M Hayat Nurachmad, Edi Pramana Thenata, Angelina Risal Santosa, Nico Setiawan, Jodi Stevanus Susilo, Willy Sukamto, Anton Yudha Islami Sulistya