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All Journal PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic JREC (Journal of Electrical and Electronics) Jurnal Algoritma Jurnal Informatika Jurnal Transformatika Journal of Information System Wikrama Parahita : Jurnal Pengabdian Masyarakat Information System for Educators and Professionals : Journal of Information System Faktor Exacta Technomedia Journal Petir JSI (Jurnal sistem Informasi) Universitas Suryadarma JOURNAL INFORMATICS, SCIENCE & TECHNOLOGY JISICOM (Journal of Information System, Infomatics and Computing) Jurnal Pengabdian Al-Ikhlas Jurnal Manajemen Informatika Jayakarta Journal of Students‘ Research in Computer Science (JSRCS) Bulletin of Information Technology (BIT) Jurnal Algoritma Innovative: Journal Of Social Science Research Jurnal Dharmabakti Nagri International Journal of Information Technology and Computer Science Applications (IJITCSA) Indo Green Journal Journal of Computer Science Contributions (Jucosco) Jurnal Rekayasa Informasi Journal of Informatics and Information Security Indo Green Journal Jurnal Riset Informatika dan Teknologi Informasi (JRITI) Journal of Intelligent Systems for Community Development (JISCoDe)
Dwipa Handayani
Informatics, Faculty Of Computer Science, Bhayangkara Jakarta Raya University
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Medicine & Pharmacology Public Health Social Sciences Other

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ANALISIS TINGKAT KEPUASAN PELANGGAN TERHADAP PENGGUNAAN GMALITE DENGAN PENERAPAN ALGORITMA NAÏVE BAYES PADA MCDONALD’S CIBITUNG Hervira Triawati; Hendarman Lubis; Dwipa Handayani
JSI (Jurnal Sistem Informasi) Universitas Suryadarma Vol. 9 No. 2 (2022): JSI (Jurnal sistem Informasi) Universitas Suryadarma
Publisher : Fakultas Ilmu Komputer dan Desain - Unsurya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35968/jsi.v9i2.925

Abstract

McDonald’s dapat mempertahankan pangsa pasarnya dikarenakan memiliki strategi pemasaran yang baik. GMALite adalah sebuah aplikasi yang memberikan kesempatan berinteraksi dengan pelanggan dan memberikan penawaran yang sesuai untuk pelanggan untuk meningkatkan penjualan. Faktor strategi pemasaran sangat penting dalam mempertahankan pangsa pasar, dengan demikian diperlukannya mengukur kepuasan pelanggan, karena pelanggan yang puas akan berbagi rasa dan pengalaman dengan pelanggan lain. Oleh karena itu, baik pelanggan maupun restoran akan sama-sama diuntungkan apabila kepuasan terjadi.  .  Penelitian ini bertujuan untuk mengetahui apakah pelanggan merasa puas atau tidak puas terhadap penggunaan GMALite sebagai strategi pemasaran di McDonald’s dengan metode Naïve Bayes. Algoritma Naïve Bayes merupakan salah satu metode pengklasifikasian dengan menggunakan metode probabilitas dan menggunakan metode statistik. Informasi yang digunakan diperoleh dengan membagikan kuesioner kepada pelanggan McDonald’s yang menggunakan aplikasi GMALite sebanyak 200 pelanggan. Berdasarkan hasil Pengujian manual yang dilakukan dengan data testing sebanyak 60 record, didapatkan hasil “PUAS” sebanyak 54 record, dan hasil “TIDAK PUAS” sebanyak 6 record. Pengujian data pada RapidMiner didapatkan tingkat akurasi sebesar 100% dengan nilai precision sebesar 100% dan nilai recall sebesar 100%, dan dapat dikategorikan excellent. Berdasarkan hasil pengujian, maka metode naïve bayes dapat direkomendasikan untuk memprediksi tikngkat kepuasan pelanggan terhadap penggunaan GMALite di McDonald’s Cibitung, karena nilai precision dan recall yang tinggi. Kata Kunci : Kepuasan Pelanggan, GMALite, Naïve Bayes, McDonald’s
IMPLEMENTASI PENJADWALAN MATAPELAJARAN PADA SEKOLAH SMA XY MENGGUNAKAN ALGORITMA GENETIKA Achmad Noeman; Dwipa Handayani; Hendarman Lubis; Abrar Hiswara; Muhammad Yasir; Arif Rifai Dwiyanto
Jurnal Manajamen Informatika Jayakarta Vol 6 No 2 (2026): JMI Jayakarta (April 2026)
Publisher : Sekolah Tinggi Manajemen Informatika dan Komputer Jayakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52362/jmijayakarta.v6i2.2382

Abstract

Penelitian ini membahas perancangan sistem informasi penjadwalan siswa berbasis web di SMA XY dengan memanfaatkan algoritma genetika sebagai pendekatan optimasi. Permasalahan utama yang dihadapi sekolah adalah penyusunan jadwal yang masih dilakukan secara semi-manual, sehingga memerlukan waktu lama, rawan kesalahan input, dan berpotensi menimbulkan bentrok jadwal guru, kelas, dan mata pelajaran. Penelitian bertujuan merancang sistem yang mampu mengintegrasikan data guru, mata pelajaran, kelas, ruang, dan waktu ke dalam satu aplikasi berbasis web yang lebih terstruktur. Metode penelitian meliputi observasi, wawancara, studi pustaka, analisis sistem berjalan, analisis sistem usulan, serta perancangan sistem dengan pendekatan prototype. Dalam model algoritma genetika, kromosom dibentuk dari kombinasi ruang dan slot waktu, fungsi fitness dirancang berdasarkan penalti bentrok jadwal guru, sedangkan mekanisme seleksi menggunakan roulette wheel yang dilanjutkan dengan crossover dan mutasi. Hasil penelitian menunjukkan bahwa rancangan sistem yang diusulkan telah menghasilkan alur proses penjadwalan yang lebih sistematis, mendukung validasi ketersediaan guru, dan menyediakan proses generate jadwal secara terkomputerisasi. Kontribusi utama penelitian ini terletak pada penyesuaian representasi kromosom dan alur operasional sistem dengan kebutuhan penjadwalan di lingkungan SMA XY sehingga dapat menjadi dasar implementasi sistem yang lebih efisien, konsisten, dan mudah dikembangkan pada penelitian lanjutan.
IMPLEMENTASI ALGORITMA K-MEANS UNTUK PENGELOMPOKAN PRODUK TERLARIS PADA PANGKALAN SUDIAWATI BEKASI Dwipa Handayani; Achmad Noema; Rasim Rasim; Agus Hidayat; Hendarman Lubis
Jurnal Manajamen Informatika Jayakarta Vol 6 No 2 (2026): JMI Jayakarta (April 2026)
Publisher : Sekolah Tinggi Manajemen Informatika dan Komputer Jayakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52362/jmijayakarta.v6i2.2374

Abstract

Pangkalan Sudiawati Bekasi is a business engaged in household goods distribution with a central warehouse that stores various products. However, the sales data management process is still conducted manually through bookkeeping, which often leads to recording errors and difficulties in identifying the most demanded products. This issue results in ineffective decision-making regarding stock procurement, potentially causing losses due to unsold products. This study aims to design a sales data management system that can effectively identify best-selling products. The approach used in this research is the CRISP-DM (Cross-Industry Standard Process for Data Mining) methodology as a system development framework, combined with the K-Means Clustering algorithm to group sales data based on product demand levels. The results of this study indicate that the developed system is capable of classifying products into several categories, such as highly demanded, moderately demanded, and less demanded products. This classification assists Pangkalan Sudiawati in making more accurate decisions regarding inventory management and improving the efficiency of sales data processing.
Implementasi Forward Chaining pada Sistem Pakar Diagnosa Kerusakan Laptop Berbasis Web: Studi Kasus Layanan Servis Laptop Dimas Permadi; Dwipa Handayani; Prio Kustanto; Muhammad Yasir; Achmad Noeman; Agus Hidayat
Journal of Informatic and Information Security Vol. 6 No. 2 (2025): Desember 2025
Publisher : Program Studi Informatika, Fakultas Ilmu Komputer Universitas Bhayangkara Jakarta Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31599/paw2f574

Abstract

Laptop damage diagnosis at PT Tsurtech Solution is currently carried out manually, which can take more time and requires the technician's experience to identify problems accurately. This research aims to design and implement a web-based expert system to assist in diagnosing laptop damage based on symptoms inputted by users. The system is developed using the Forward Chaining algorithm, a data-driven reasoning method that matches facts (symptoms) with a set of predefined rules to conclude the type of damage. The system is built using the Waterfall development method, assisted by UML diagrams, and implemented with PHP programming language and MySQL database. Blackbox Testing is used to evaluate the system’s functionality. The results show that the system can be used as a supporting tool to help both users and technicians perform initial laptop damage diagnosis more quickly and efficiently.    
Sistem Monitoring Kualitas Udara Ruang Kerja Berbasis IoT Menggunakan Sensor M-135 Rasim Rasim; Dwipa Handayani; Carudin Carudin; Achmad Noeman; Mugiarso Mugiarso
Jurnal Transformatika Vol. 24 No. 1 (2026): July 2026
Publisher : Jurusan Teknologi Informasi Universitas Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26623/transformatika.v24i1.15264

Abstract

Indoor air quality monitoring is important in workplaces because hazardous gas exposure may occur without clear sensory indications. This study developed an Internet of Things based air-quality monitoring system by integrating an MQ-135 sensor, an ESP32 controller, an LED Matrix P10 local display, and the Ganesha16 web monitoring platform. The novelty lies in the simultaneous delivery of environmental information through a local public display and remote web access within one integrated architecture. The system was developed using the Prototype method, covering requirement analysis, system design, prototype implementation, functional testing, evaluation, and refinement. Continuous testing was conducted for three days in a workplace environment and produced 1,090 monitoring records. The mean Air Quality Index was 41.84, classified as good, while all five functional scenarios, including sensor reading, data transmission, LED Matrix display, web monitoring, and real-time communication, operated successfully. These results show that the proposed architecture can support accessible real-time indoor air-quality monitoring. However, because MQ-135 responds to several gases, the prototype is more appropriate as an early air-quality monitoring system than as a precision instrument for carbon monoxide concentration measurement.        
Mobile NCR Management with Mamdani Fuzzy Inference for Consistent Defective Product Disposition Ahmad Fathurrozi; Dwipa Handayani; Muhammad Aprizal Wijatmiko
Journal of Intelligent Systems for Community Development Vol. 1 No. 3 (2026): September 2026
Publisher : Indonesian Artificial Neural Network Society

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

Abstract

Subjectivity of determining the disposition of defective products and administrative latency of Non- Conformance Paper-based NCR (National Receipt Report ) hinders ISO 9001:2015 quality management compliance in the manufacturing industry. This research aims to develop a mobile- based NCR information system integrated with an algorithm. Fuzzy Logic as a product disposition decision support system ( repair , rework , scrap ) at PT Ohgishi Indonesia. This software was built using the Rapid Application Development (RAD) methodology with an MVC architecture , frontend Flutter / Dart , Java Spring Boot backend , as well as Firebase Realtime Database . The novelty of this research lies in the automation of the evaluation of 3 quality parameters ( Severity , Cost , Availability ) through 27 expert rule bases. IF-THEN in real- time . Black-box testing included scenarios of role-based login functionality, NCR generation, and PDF report export. The test results showed that the system architecture was capable of executing all functions and fuzzy computations without any functional errors. In conclusion, this system successfully mitigated the subjectivity of quality decisions and speed up the bureaucracy of end-to-end reporting .
A Implementation of Text Mining In Sentiment Analysis of Shopee Indonesia Using SVM Kusdarnowo Hantoro; Dwipa Handayani; Siti Setiawati
Bulletin of Information Technology (BIT) Vol 3 No 2: Juni 2022
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bit.v3i2.282

Abstract

Many online shopping users convey an assessment of a product through status comments. Comments indicate a non-standard form of expression. Nowadays, user comments are increasing rapidly, which makes data management difficult. Today's society has so many choices; most of them are used for preference as a final recommendation. The top item shows the preferences of the available items, recommended based on future predictability. The predictive rating of some items is used by the user to recommend the item to other users. Sentiment analysis can recommend items of choice for online shopping in various fields of application, especially in e-commerce. Sentiment analysis is used to identify opinions, ideas, or thoughts from online media. Shopee is one of the largest online business platforms. Classification Sentiment analysis towards Shopee based on the Support Vector Machine (SVM) was used in this study on the Shopee application using 990 training data and 110 test data. From the test data, 28 data entered the negative class and the remaining 82 data entered the positive class and resulted in an accuracy rate of 80.90%, meaning that from 110 assessments there were 89 assessments classified exactly in the sentiment class.
Co-Authors Abdillah Prayoga Widyanto Abrar Hiswara Achmad Noe'man Achmad Noema Achmad Noeman Achmad Noeman Achmad Noeman Adi Muhajirin Agus Hidayat Agus Hidayat Ahmad Fathurrozi Akbar Rafni Rafsan Jani Andre Saputra Ginting Andy Achmad Hendharsetiawan Andy Achmad Hendharsetiawan Ardhiyanto, Ozzi Arif Rifai Dwiyanto Asep Ramdhani Mahbub Asghor, Ali Asrika, Sukwati Dewi Ayu Diah Rositawati Bayu Pratama Caroline Julyana Magdalena S. Carudin Carudin Chan, Muhammad Nauval Damara, Rian Dani Yusuf Dani Yusuf Dani Yusuf Dani Yusuf Deo Pratama Putra Dian Hartanti Dian Hartanti Dimas Permadi Dwi Budi Srisulistiowati Dwidayanto, Ardiansyah Dwijayanthi Nirmala, Indah Fadhillah, Muhammad Fahmi Fadilah, Fikki Arsyi Nur Fadillah P, Yoga Fathurrazi, Ahmad Fathurrozi, Ahmad Febian, Guruh Putra Fransisco Leo Sinema Gea Fried Sinlae Gabriella Putri Larasati Ginting, Brian Permana Haikkal, Mochammad Hanif, Farhan Abiyyu Hantoro, Kusdarnowo Hariyanto Hasri, Sutan Keysar Gifari Hendarman Hendarman Hendarman Hendarman Lubis Hendarman Lubis Herdiansyah, Dafa Hervira Triawati ISNAWATI Isyadi, Muhammad Zhidan Jani, Akbar Rafni Rafsan Kapriadi, Engkap Karyaningsih, Dentik Krisna Dimas Pujiono Kristian Vieri, Jhon Kurnia, Ferdi Kurniawan, Kelvin Kusnadi, Aldiansyah Kustanto , Prio Kusumah, Muhammad Assegaf Raja Linda Fitriyani Lubis, Hendarman Mahbub, Asep Ramdhani Marcellino Hutagalung Mayadi Mayadi Mhammadin, Habib Miftahur Rizky Mugiarso Mugiarso Mugiarso Mugiarso, Mugiarso Muh. Iqbal Rizky Nurfirdaus Muhammad Aprizal Wijatmiko Muhammad Ismam Maulana Muhammad Yasir Muhammad Yasir Muhammad Yazid Muhammad Yazid Mukhlis Nadhif Yogaswara Nafianto, Dwi Noeman, Achmad Noe’man,, Achmad No’eman, Achmad Nur Afifah Ozzi Ardhiyanto Pamungkas, Arya Panca Priatna , Wowon Prima Dina Atika Prio Pamungkas, R Wisnu Rabbani, Nizar Bagoes Rafi, Athala Rahelliana Tinambunan Rahma Vadilla Raihan, Abdul Muhammad Rakhmat Purnomo Rasim Rasim Rasim Rasim Ratna Salkiawati Retno Wulandari Retno Wulandari Robertus Suraji RR. Ella Evrita Hestiandari Santi Noviyanti Saputra, Virga Hendra Siti Setiawati Sri Lestari, Tyastuti Sri Marini Tb Ai Munandar Tb Ai Munandar Tb Ai Munandar, Tb Ai Tyastuti Sri Lestari Verdi Ganda Manalu WAHYUDI, DIKI Wicaksono, Ahmad Bayu Wiwiet Yuliana Putri Zahir, Muhammad Rafli Alta Zebua, Yedija Salomo