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All Journal Jurnal Pemberdayaan Masyarakat Madani (JPMM) Journal of Informatics and Computer Science (JINACS) Modem : Jurnal Informatika dan Sains Teknologi Journal of Emerging Information Systems and Business Intelligence (JEISBI) Inovate : Jurnal Ilmiah Inovasi Teknologi Informasi
ARIES DWI INDRIYANTI, ARIES
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Arts Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Languange, Linguistic, Communication & Media Library & Information Science Social Sciences Other

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Rancang Bangun Sistem Keputusan Penerimaan Siswa Baru MTsN 9 Jombang Dengan Metode Topsis Hartono, Sherly; Dwi Indriyanti, Aries; Bagus Pratama Putra, Dharma
Inovate Vol 6 No 2 (2022): Maret
Publisher : Fakultas Teknologi Informasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33752/inovate.v6i2.3176

Abstract

This research was conducted to build a system.that facilitates the teacher and the student to registrants. The purpose of this research. is to design a new student decision support system which is based on the website to facilitate the acceptance of new students to be faster, efficient and effective and also obtain rapid results. In this research researchers use the method TOPSIS (Tecchnique For order preference by similarity to ideal solution). The TOPSIS is method provides ideal solution for the selection of alternatives with several criteria the TOPSIS method is also widely use to resolve problem on decision making practically completion of Multicriteria decision making, in the TOPSIS method there is a calculation of the distance between the ideal positive solution and the ideal negative solution so that it is increasingly supportive to get the calculation with good results.The results. of the study are. obtain a degree of accuracy calculations of the hundred percent. Keywords: Decision support system, TOPSIS, screening
PENERAPAN FUZZY TIME SERIES-MARKOV CHAIN UNTUK PENJADWALAN TANAM PADI BERDASARKAN PERAMALAN CURAH HUJAN DI MEGALUH Umi Rahmawati, Evis; Dwi Indriyanti, Aries; Heru Mujianto, Ahmad; Kistofer , Terdy
Inovate Vol 9 No 2 (2025): Maret
Publisher : Fakultas Teknologi Informasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33752/inovate.v9i2.8871

Abstract

Extreme climate change poses a significant challenge for the agricultural sector, especially in determining the ideal rice yield. This research develops a web-based information system to optimize rice planting scheduling using the Fuzzy Time Series - Markov Chain method with human judgment. A case study was conducted in Megaluh, Jombang Regency, where the majority of participants are farmers. The developed system successfully provides rainfall predictions with a Mean Absolute Percentage Error (MAPE) of around 90.74% and recommends planting schedules that can reduce the risk of crop failure. The survey results conducted in January 2023 showed a rainfall of 507.21 mm, which falls into the high rainfall category. The aim of this research is to develop a web-based information system that can optimize rice planting scheduling using the Fuzzy Time Series - Markov Chain method, through the implementation of rainfall data in Megaluh District, Jombang Regency. The research methodology includes problem identification, literature review, data collection, system requirements analysis, system penetration, coding, and testing. Rainfall data from 2018 to 2022 is used to predict rainfall for the next two years, which is then used to recommend the ideal planting time for farmers. This research not only helps practitioners reduce the risk of crop failure due to weather uncertainty, but also introduces new concepts in information technology. Additionally, this system has the potential to be further developed and applied to other case studies for more accurate and optimal results. Keywords: Scheduling, Fuzzy Time series, Forecasting.
Sistem Pendukung Keputusan Diagnosis Tipe Penyakit Diabetes Berbasis Web Menggunakan Metode Simple Additive Weighting (SAW) Aprilia Listiani, Disti; Dwi Indriyanti, Aries
Journal of Informatics and Computer Science (JINACS) Vol. 7 No. 02 (2025)
Publisher : Universitas Negeri Surabaya

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Abstract

Abstract - Meningkatnya prevalensi  Diabetes Melitus (DM) di Indonesia menuntut adanya sistem diagnosis yang lebih efisien, cepat, dan akurat. Proses diagnosis di rumah sakit umumnya masih dilakukan secara manual dan bergantung pada jumlah dokter spesialis yang terbatas, sehingga dapat menghambat pelayanan di tengah meningkatnya jumlah pasien. Penelitian ini mengembangkan Sistem Pendukung Keputusan (SPK) berbasis web untuk membantu proses identifikasi tipe diabetes menggunakan metode Simple Additive Weighting (SAW). Sistem dirancang untuk membedakan empat tipe diabetes, yaitu Tipe 1, Tipe 2, Gestasional, dan Latent Autoimmune Diabetes in Adults (LADA), berdasarkan 12 kriteria diagnosis yang terdiri atas faktor klinis, gejala, dan indikator laboratorium. Metode SAW diterapkan melalui tahap normalisasi matriks keputusan, pembobotan, dan perhitungan nilai preferensi untuk memperoleh hasil diagnosis yang paling sesuai dengan kondisi pasien. Hasil pengujian pada studi kasus menunjukkan bahwa nilai preferensi tertinggi diperoleh pada Diabetes Tipe 1 sebesar 0,845, diikuti LADA sebesar 0,57, Gestasional 0,4625, dan Tipe 2 sebesar 0,435. Nilai tersebut menggambarkan tingkat kesesuaian profil pasien terhadap masing-masing tipe diabetes. Selain itu, pengujian blackbox menunjukkan seluruh fitur sistem, mulai dari login, input data pasien, proses perhitungan, hingga manajemen pengguna, berjalan dengan status Pass. Penelitian ini membuktikan bahwa metode SAW efektif diterapkan pada SPK berbasis web untuk mempercepat proses diagnosis, meningkatkan akurasi identifikasi tipe diabetes, serta mendukung tenaga medis dalam pengambilan keputusan klinis.   Kata Kunci— Sistem Pendukung Keputusan; Diabetes Melitus; Simple Additive Weighting; Diagnosis Diabetes; Sistem Berbasis Web.
TRAINING IN MAKING SOYA MILK TO INCREASE THE ENTREPRENEURIAL MOTIVATION OF SEKOLAH INDONESIA JEDDAH (SIJ) STUDENTS Miranti, Mauren; Dwi Indriyanti, Aries; Suparji; Maspiyah; Handajani, Sri
Jurnal Pemberdayaan Masyarakat Madani (JPMM) Vol. 9 No. 2 (2025): Jurnal Pemberdayaan Masyarakat Madani (JPMM) (DOAJ & SINTA 4 Indexed)

Publisher : Faculty of Economics and Business, Universitas Negeri Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21009/JPMM.009.2.06

Abstract

In an increasingly competitive era, students need to be equipped not only with formal education, but also practical skills that can support their independence in the future. One skill that is relevant and has economic value is the ability to produce products that have market prospects, such as soya milk. The purpose of writing this research is to find out how the training process of making soymilk and calculating the selling price, and how the participants respond to the training activities. The methods used were lectures, questions and answers and demonstrations. The results showed 1) the implementation of the training began with the provision of basic materials related to soymilk processing, and then the practice of making soymilk together. Before the training, participants were given a pre-test first. The pre-test provided an overview of the extent of participants' understanding or skills before starting the program. There was an increase in understanding from before and after the training, and 2) in the participants' response to the activities, in general the participants responded well, all indicators were generally in the good and excellent categories. With this training, students are expected to not only be able to produce quality soymilk, but also have the motivation and confidence to try small business opportunities.
Co-Authors Abda Abda Aisha, Dita Anita Andriani Aprilia Listiani, Disti Bagus Pratama Putra, Dharma Bastian Nursyahputra, Andhika Chasanah, Nidhaul Faizah, Arbiati Hartono, Sherly Irfanto, Feri Kistofer , Terdy Lailiyah, Ami mahmudi, imam MASPIYAH Miranti, Mauren Mujianto, Ahmad Heru Puspitasari, Refandah Rendy Harenza, Aderio Sri Handajani SUPARJI Umi Rahmawati, Evis Uswatun Khasanah, Siti Valen Zidana Erlita Wiratsongko, Radityo