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All Journal Elektron Jurnal Ilmiah Jurnal Teknologi dan Informasi El-Mujtama: Jurnal Pengabdian Masyarakat Proceeding ISETH (International Summit on Science, Technology, and Humanity) El-Mujtama: Jurnal Pengabdian Masyarakat
Ira Prasetyaningrum
Departemen Informatika EEPIS Surabaya
Religion Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media Medicine & Pharmacology Social Sciences Other

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Implementasi Fuzzy Query dalam Sistem Pendukung Keputusan untuk Investasi Properti Edelani, Renovita; Kusumaningtyas, Entin Martiana; Prasetyaningrum, Ira; Anggriawan, Bagus
Elektron : Jurnal Ilmiah Volume 16 Nomor 1 Tahun 2024
Publisher : Teknik Elektro Politeknik Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30630/eji.0.0.467

Abstract

Rapid urbanization and the increasing demand for residential property have created significant challenges in the real estate market. Prospective homebuyers often face difficulties in finding properties that meet their specific criteria in a crowded and competitive market. This research proposes an approach to property investment decision-making based on the Fuzzy Query method, providing a web-based application designed to simplify the property search process. The application allows users to filter properties based on various criteria, such as price, land area, building area, number of bathrooms, number of bedrooms, certificate type, and environmental noise levels. The application features an intuitive user interface that enables users to quickly find properties that match their preferences. This decision support system effectively assists property investors in obtaining investment assessments.
Sistem Penjadwalan Hybrid Learning di Politeknik Elektronika Negeri Surabaya Amalia, Luri Shafira; Prasetyaningrum, Ira; Asmara, Rengga
Jurnal Teknologi dan Informasi (JATI) Vol 13 No 1 (2023): Jurnal Teknologi dan Informasi (JATI)
Publisher : Program Studi Sistem Informasi, Fakultas Teknik dan Ilmu Komputer, Universitas Komputer Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34010/jati.v13i1.8923

Abstract

Penjadwalan kuliah merupakan aktivitas rutin yang dilakukan tiap semester dalam sistem akademik. Pada proses penyusunan jadwal terdapat beberapa komponen seperti matakuliah, pengampu, ruang kelas, dan waktu. Dalam pelaksanaannya, terkadang hasil penyusunan jadwal kurang sesuai dengan kebutuhan. Pada dasarnya untuk menentukan jadwal kuliah perlu diatur agar mahasiswa dapat mengikuti perkuliahan tanpa bertabrakan dengan jadwal kuliah lain dan sesuai dengan jam dosen mengajar. Terutama penjadwalan di Politeknik Elektronika Negeri Surabaya yang juga menerapkan sistem hybrid learning dalam pelaksanaan kuliah. Sistem penjadwalan yang diperlukan bukan hanya jadwal kuliah pada umumnya, melainkan sistem jadwal yang memadukan pertemuan tatap muka dengan perkuliahan daring. Agar dapat merancang jadwal yang sesuai, maka susunan jadwal harus detail dan dapat mencakup semua kemungkinan, sehingga pembuatan jadwal dapat dilakukan secara komputerisasi menggunakan suatu algoritma. Penelitian ini merepresentasikan sistem hybrid learning menggunakan algoritma genetika untuk sistem penjadwalan di Politeknik Elektronika Negeri Surabaya yang berbasis web, sekaligus bertujuan untuk mengukur tingkat keberhasilan pemetaan jadwal dengan algoritma genetika. Dari rancangan sistem tersebut dapat bermanfaat dalam melakukan penjadwalan kuliah secara otomatis, ataupun mampu menjadi dasar untuk pengembangan sistem akademik. Berdasarkan hasil rancangan program, dapat disimpulkan bahwa tidak terdapat kesamaan jadwal yang bertabrakan serta proses dalam penjadwalan bisa lebih singkat sesuai dengan data-data yang di generate.
Rancang Bangun Sistem Informasi Sekolah di SMK Negeri 1 Jetis Mojokerto Yunanto, Andhik Ampuh; Martono, Hero Yudo; Prasetyaningrum, Ira; Ahsan, Ahmad Syauqi; ., Nailussa’ada; Asmara, Rengga; Wibowo, Prasetyo; Santoso, Dian Septiani; Humaira, Fitrah Maharani; Al, Mohammad Jawahir; Panggalih, Bintang Ampuh; Hidayatullah, Taufiq; Zufar, Farhan Izzudin Az; Hasnaa, Rosyiidah
El-Mujtama: Jurnal Pengabdian Masyarakat Vol 4 No 2 (2024): El-Mujtama: Jurnal Pengabdian Masyarakat
Publisher : Intitut Agama Islam Nasional Laa Roiba Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47467/elmujtama.v4i2.5358

Abstract

The school information system, especially the Industrial Work Practices activity attendance system at SMKN 1 Jetis, is still done manually, that is, it still uses books and you have to fill in an activity journal every day in that book. After the internship ends, students are asked to collect the books, which the teacher will use to collect data on whether the student skipped class, permission and so on. Meanwhile, teachers do not have other data that can be used for data collection if the book is damaged or lost. This problem occurs because there is no system or application that is able to provide convenience for the process of collecting data and checking accurately. This information system created uses web or mobile technology which is tailored to the needs of system users and can make it easier for teachers to carry out the process of checking student attendance at internship activities through this attendance application, and we also provide a comparison of this application with other applications in order to determine the quality application quality and to determine the development of application features aimed at making it easier for users to use the application.
Pengembangan dan Implementasi Chatbot Pelayanan Masyarakat Berbasis Dialogflow di Kelurahan Gebang Putih Surabaya Nailussa’ada, Nailussa’ada; Martono, Hero Yudo; Yunanto, Andhik Ampuh; Wibowo, Prasetyo; Santoso, Dian Septiani; Prasetyaningrum, Ira; Humaira, Fitrah Maharani; Khoirunnisa, Asy Syaffa; Alfaqih, Wildan Maulana Akbar; Al Falah, Adam Ghazy
El-Mujtama: Jurnal Pengabdian Masyarakat  Vol. 5 No. 1 (2025): El-Mujtama: Jurnal Pengabdian Masyarakat
Publisher : Intitut Agama Islam Nasional Laa Roiba Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47467/elmujtama.v5i1.6262

Abstract

Residents of Gebang Putih, Surabaya, often face challenges in accessing administrative information, such as procedures for creating ID cards, updating family data, and registering for marriage. To address these issues, a chatbot based on Dialogflow was developed and integrated with the Telegram platform and a mobile application called Kagapi. This study included data collection from official government websites, interviews with local office staff, and dataset preparation for chatbot training. The results showed that the chatbot achieved a 92% accuracy rate in understanding and responding to user queries, with an average response time of 2-3 seconds. Integration with the mobile application expanded service features, including online queue management. Testing and evaluation by local office staff and residents indicated that the chatbot improved information accessibility and service efficiency by up to 80%. This chatbot demonstrates the potential to serve as an innovative solution in enhancing public service transparency and accessibility.
Building a Recommendation System for Online Shopping Based on Item-Based Collaborative Filtering Badriyah, Tessy; Prasetyaningrum, Ira; Adhi P., Basik
Proceeding ISETH (International Summit on Science, Technology, and Humanity) 2015: Proceeding ISETH (International Conference on Science, Technology, and Humanity)
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/iseth.2373

Abstract

This research applied an innovation in developing online shopping, using recommendation system. Recommendation System applies finding knowledge technique which is called itembased Collaborative Filtering. This works with by building information about items that are preferred by the customers. Collaborative Filtering filters data based on similarities or certain characteristics, so that the system is able to provide information based on patterns from a certain group of data that are almost the same.With recommendation system, customers could benefit from the recommended items which they may favour, generated automatically by the system. It is hoped that it could improve the convenience to shop and reduce the time needed by customers to search for items. Therefore it could increase the competitiveness of online shops that use a recommendation system.
Co-Authors ., Nailussa’ada Adhi P., Basik Ahsan, Ahmad Syauqi Al Falah, Adam Ghazy Al, Mohammad Jawahir Alfaqih, Wildan Maulana Akbar Amalia, Luri Shafira Andhik Ampuh Yunanto Anggriawan, Bagus Asmara, Rengga Edelani, Renovita Entin Martiana Kusumaningtyas Hasnaa, Rosyiidah Humaira, Fitrah Maharani Khoirunnisa, Asy Syaffa Martono, Hero Yudo Nailussa’ada, Nailussa’ada Panggalih, Bintang Ampuh Santoso, Dian Septiani Taufiq Hidayatullah Tessy Badriyah, Tessy Wibowo, Prasetyo Zufar, Farhan Izzudin Az