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All Journal JUITA : Jurnal Informatika Jurnal Informatika Universitas Pamulang Journal of Artificial Intelligence and Innovative Applications (JOAIIA) INFORMATIKA JAMAIKA: Jurnal Abdi Masyarakat KOMMAS: Jurnal Pengabdian Kepada Masyarakat Jurnal Komputer Teknologi Informasi Sistem Komputer (JUKTISI) Journal of Research and Publication Innovation OKTAL : Jurnal Ilmu Komputer dan Sains JRIIN :Jurnal Riset Informatika dan Inovasi
Fitri Yanti
Universitas Pamulang
Astronomy Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mechanical Engineering Social Sciences Other

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Implementasi Metode SMART Pada Sistem Pendukung Keputusan Dalam Seleksi Penerimaan Beasiswa Di SMA Negeri 6 Tangerang Selatan Chika Permata Putri; Fitri Yanti
OKTAL : Jurnal Ilmu Komputer dan Sains Vol 1 No 08 (2022): OKTAL : Jurnal Ilmu Komputer Dan Sains
Publisher : CV. Multi Kreasi Media

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Abstract

In each period of the new school year, the student division selects students and students who have registered as scholarship recipients. At SMAN 6 South Tangerang, a computerized method has not been applied to help select scholarship recipients, and the selection process is still done manually so that it is still less effective and less efficient. The method that will be used in making this decision support system is the Simple Multi Attribute Rating Technique (SMART) method. The SMART method was chosen to solve problems in the selection of scholarship recipients because this method is able to provide the best alternative by giving weight to each criterion that describes how important these criteria are with other criteria. Based on the results of testing with blackbox and whitebox test cases, it can be concluded that the development of a decision support system in the selection of scholarship recipients using the SMART method is successful. There were no process errors and functionally managed to produce the expected results. This system was successfully built in a computerized manner to speed up the selection process and provide effective and efficient recommendation results.
Penerapan Metode Finite State Machine Dalam Game “Stories of Cursed Dungeon” Menggunakan RPG Maker MV Affan Jaeis Chaniago; Fitri Yanti
OKTAL : Jurnal Ilmu Komputer dan Sains Vol 1 No 09 (2022): OKTAL : Jurnal Ilmu Komputer Dan Sains
Publisher : CV. Multi Kreasi Media

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Abstract

RPG Stories of Cursed Dungeon is an rpg-themed game where players will play a character in this game. This game tells of a teenager who wants to find a way to cure his father who is cursed, which makes him have to go to Dungeon City to find a cure for his father's curse. This game uses the RPG Maker MV game engine, by applying artificial intelligence, namely FSM (Finite State Machine). FSM (Finite State Machine) is used in every event created in the game Stories of Cursed Dungeon. Like the creation of missions in the game Stories of Cursed Dungeon which uses three things: Circumstances, Events, and Actions. From the tests that have been carried out from the results of the FSM (Finite State Machine) bolt intelligence in the RPG game "Stories of Cursed Dungeon" the existing mission will run if the player or character from the game has completed the previous mission or received an order from the system.
SISTEM INFORMASI PENCARIAN JUDUL SKRIPSI TEKNIK INFORMATIKA BERBASIS WEB (STUDI KASUS PRODI TI UNIVERSITAS PAMULANG) Sandi Hartawan; Fitri Yanti
OKTAL : Jurnal Ilmu Komputer dan Sains Vol 1 No 10 (2022): OKTAL : Jurnal Ilmu Komputer Dan Sains
Publisher : CV. Multi Kreasi Media

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Abstract

Often students have difficulty in finding the theme of the thesis title and the final project and get into trouble by several times changing the thesis title and the final project. Submission of titles is sometimes accepted and sometimes rejected based on considerations, one of which is an existing title. The goal of the study was to create software that could search and check thesis titles and final tasks quickly and accurately. The method used in this research is the development method that is how the system is developed from a manual system to a computerized system. With this information system application, it is expected to facilitate checking, searching and managing thesis titles and student final assignments and avoid indications of similar titles and plagiarism.
Perancangan Aplikasi Point Of Sale Pada Toko Kang Udin Berbasis Web Bhakti Hanggoro; Fitri Yanti
OKTAL : Jurnal Ilmu Komputer dan Sains Vol 2 No 02 (2023): OKTAL : Jurnal Ilmu Komputer Dan Sains
Publisher : CV. Multi Kreasi Media

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Abstract

In conducting sales transaction activities, recording goods and reporting sales transactions, Kang Udin Store is still done conventionally by handwriting. Difficulties in recording stock data of incoming goods and outgoing goods, as well as transaction calculations cause inaccurate data. In making a report is very time consuming because it has to find and collect the necessary data from the records in the report book. This can lead to human errors. Therefore, researchers built the Point of Sale (POS) application at Kang Udin Store is built using the waterfall method.The design of this POS application uses Unified Modeling Language (UML) to describe the processes that occur in the POS system. The diagrams used are use case diagrams, activity diagrams, sequence diagrams, and class diagrams. The programming languages used are PHP with codeigtniter framework, and MySQL as a database. The results of this Point of Sale application design make it easier for Kang Udin Stores to manage sales transactions, manage stock data and recapitulate sales transaction reports.
Rancang Bangun Sistem Informasi Transaksi Penjualan Pada Kedai Sompo Coffee Berbasis Web Mohammad Dzaky Risqullah; Fitri Yanti
OKTAL : Jurnal Ilmu Komputer dan Sains Vol 2 No 04 (2023): OKTAL : Jurnal Ilmu Komputer Dan Sains
Publisher : CV. Multi Kreasi Media

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Abstract

Kedai Sompo Coffee is a shop that sells various kinds of food and beverages, which is located on Jl. Maulana Hasanudin No. 6 Rt 02 Rw 07 Poris Jaya, Tangerang City. This Sompo Coffee shop still encounters several problems, one of which is the sales system that still uses a manual system, from inputting products to making reports. Likewise, in examining sales transactions that occur every day, all sales notes must be collected according to the date of the transaction, because they have not used the facilities effectively and efficiently. By applying information technology is expected to facilitate the sales process both from the consumer and employees, especially in terms of calculations and report generation.
IMPLEMENTASI SISTEM ABSENSI KARYAWAN MENGGUNAKAN BARCODE DAN GPS BERBASIS WEBSITE PADA PT INSCIENPRO INSTRUMENT INDONESIA Tati Muniroh; Fitri Yanti
Informatika: Jurnal Teknik Informatika dan Multimedia Vol. 6 No. 1 (2026): MEI : JURNAL INFORMATIKA DAN MULTIMEDIA
Publisher : LPPM Politeknik Pratama Kendal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/informatika.v6i1.1649

Abstract

This study aims to implement a web-based employee attendance system integrating barcode scanning and GPS as attendance verification mechanisms at PT Inscienpro Instrument Indonesia. The previous method relied on WhatsApp location sharing, which was manual and vulnerable to data manipulation. The system was developed using Extreme Programming (XP) methodology with PHP and MySQL. Testing used Black Box and White Box methods. Results show the system improves data accuracy, reduces fraud potential, and accelerates attendance recap processes.
Implementasi IoT Menggunakan Mikrokontroler NodeMCU ESP8266 Dalam Mengotomatisasi Mesin Untuk Penampungan Air Jaka Sutresna; Fitri Yanti; Ahmad Musyafa
OKTAL : Jurnal Ilmu Komputer dan Sains Vol 4 No 08 (2025): OKTAL : Jurnal Ilmu Komputer Dan Sains
Publisher : CV. Multi Kreasi Media

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Abstract

The rapid development of Internet of Things (IoT) technology provides significant opportunities for creating intelligent, efficient, and adaptive automation systems, especially for domestic applications. One of these implementations includes automated water storage management and remote control of household electrical devices such as lighting systems. This research aims to design and implement a web-based automatic water tank control and lighting management system utilizing the NodeMCU ESP8266 microcontroller and ultrasonic sensors (HC-SR04). The ultrasonic sensor accurately measures the real-time water level inside the tank. Meanwhile, NodeMCU ESP8266 functions as a central controller that processes sensor data and establishes Wi-Fi connectivity for communication with a web platform developed using the XAMPP server, PHP, and MySQL. The designed system employs a hybrid operation mode combining automatic pump control based on sensor readings and manual lighting control through a responsive web interface. The testing results demonstrate that the system operates with high accuracy, exhibiting a sensor measurement error of approximately ±2 cm and system response times of less than 1 second. Additionally, testing of the communication stability between NodeMCU and the web platform indicated reliable and consistent connectivity without significant interruptions. The developed system offers ease of management, effective energy and water efficiency, and aligns with an innovative, adaptive, and flexible smart living concept suitable for various scenarios in modern household environments.
Penerapan Algoritma K-Nearest Neighbor (K-NN) untuk Prediksi Kelulusan Mahasiswa Berdasarkan Nilai Alvin Darmansyah; Dimas Aprilian; Muhidin; Regi Rizki Anugrah; Umarou Kahfi; Fitri Yanti
Jurnal Riset Informatika dan Inovasi Vol 3 No 10 (2026): JRIIN : Jurnal Riset Informatika dan Inovasi (INPRESS)
Publisher : shofanah Media Berkah

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Abstract

Penelitian ini bertujuan untuk menerapkan algoritma K-Nearest Neighbor (K-NN) dalam memprediksi kelulusan mahasiswa berdasarkan nilai akademik mereka. Dataset yang digunakan mencakup nilai tugas, nilai UTS, dan nilai UAS mahasiswa. Proses penelitian meliputi pengumpulan data, normalisasi, penerapan algoritma K-NN, dan evaluasi akurasi model. Hasil penelitian menunjukkan bahwa K-NN mampu memprediksi status kelulusan mahasiswa dengan tingkat akurasi yang tinggi, sehingga dapat menjadi alat bantu dalam pengambilan keputusan akademik.
Klasifikasi Kelayakan Pembelian Rumah Menggunakan Algoritma Decision Tree Fitri Yanti; Jaka Sutresna; Ahmad Musyafa; Muhammad Fadhillah Akbar
Jurnal Komputer Teknologi Informasi Sistem Komputer (JUKTISI) Vol. 5 No. 2 (2026): September 2026
Publisher : LKP KARYA PRIMA KURSUS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62712/juktisi.v5i2.1597

Abstract

Harga rumah di setiap daerah berbeda-beda sesuai dengan daerah dan kategorinya masing-masing, khususnya harga rumah yang berada di kota Tangerang Selatan. Karena banyaknya variasi karakteristik properti sehingga masyarakat atau calon pembeli sering mengalami kesulitan untuk menentukan apakah harga rumah tersebut termasuk kedalam kategori murah atau mahal. Dalam penelitian ini memberikan solusi untuk mengelompokan dan mengkategorikan harga rumah yang ada di Tangerang Selatan dengan menerapkan pendekatan data mining menggunaka  algoritma Decision Tree. Algoritma ini dapat membantu untuk mengklasifikasi harga rumah di Tangerang Selatan dengan atribut yang digunakan terdiri dari 8 variabel, meliputi nomor data, nama rumah, harga dari rumah, luas bangunan, luas tanah, jumlah kamar tidur, jumlah kamar mandi, dan kapasitas mobil dalam garasi. Implementasi model dilakukan menggunakan bantuan software Orange Data Mining serta bahasa pemrograman Python. Hasil penelitian menunjukkan bahwa model Decision Tree yang terbentuk memiliki 39 nodes dan 20 leaves dengan pembagian kelas target berupa "Setuju" dan "tidak". Evaluasi performa model menggunakan metode 5-fold cross-validation menghasilkan Classification Accuracy (CA) sebesar 45% dan AUC sebesar 0.467. Analisis matriks konfusi menunjukkan adanya tingkat misklasifikasi yang tinggi akibat ketimpangan skala antar-fitur data numerik. Melalui klasifikasi ini, diharapkan calon pembeli dapat lebih mudah mengenali potensi penawaran properti secara lebih terstruktur.
Co-Authors Affan Jaeis Chaniago Ahmad Musyafa Alfi Maulani Alvin Darmansyah Bhakti Hanggoro Chika Permata Putri Dimas Aprilian Fitri Sagantha Jaka Sutresna Jaka Sutresna Jaka Sutrisna Liawati - Liawati Liawati Mauludin Yusup Suyudi Mohammad Dzaky Risqullah Muhammad Fadhillah Akbar Muhidin Nasution, Ali Napiah Regi Rizki Anugrah Renaldi Alamsyah Ridho Hilmawan Sandi Hartawan Tati Muniroh Umarou Kahfi Yolen Perdana Sari