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Andharini Dwi Cahyani
Universitas Trunojoyo Madura
Agriculture, Biological Sciences & Forestry Humanities Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Earth & Planetary Sciences Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering Physics Social Sciences Other

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SISTEM PAKAR DIAGNOSA HAMA DAN PENYAKIT PADI DENGAN METODE BAYESIAN BERBASIS CERTAINTY FACTOR Dwi Puji Raharjo; Andharini Dwi Cahyani; Bain Khusnul Khotimah
Jurnal Simantec Vol 8, No 1 (2019)
Publisher : Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/simantec.v8i1.8749

Abstract

PENERAPAN METODE FUZZY ITEM RESPONSE THEORY PADA e-LEARNING COMPUTERIZED ADAPTIVE TEST Diah Kusumawati; Andharini Dwi Cahyani; Muhammad Fuad
Jurnal Simantec Vol 4, No 2 (2014)
Publisher : Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/simantec.v4i2.1389

Abstract

ABSTRAKSaat ini e-Learning sudah banyak diterima oleh masyarakat dunia, terbukti dengan maraknya implementasi e-Learning di lembaga pendidikan maupun industri. E-Learning merupakan suatu jenis sistem pembelajaran yang memungkinkan sampainya bahan ajar ke siswa dengan menggunakan media internet, atau media jaringan komputer lain. Tes adaptif merupakan sistem ujian otomatis yang dilakukan secara adaptif, menyesuaikan tingkat kesulitan soal dengan kemampuan masing-masing peserta ujian. Soal yang diberikan tergantung dari jawaban soal sebelumnya: benar atau salah. Dan hasilnya adalah level atau tingkat kemampuan peserta ujian. Salah satu metode yang digunakan dalam tes adaptif yaitu model Fuzzy Item Response Theory (FIRT) yang diimplementasikan dalam pembuatan aplikasi tes adaptif untuk lingkungan pendidikan. Berdasarkan hasil eksperimen, dapat disimpulkan bahwa Adaptive Test yang dikembangkan dengan menerapkan Fuzzy Item Response Theory mampu menempatkan siswa pada tingkat kemampuan yang sesuai dengan kemampuannya, nilai siswa lebih meningkat dengan menggunakan Adaptive Test dibandingkan dengan Konvensional Test hal tersebut dibuktikan dengan uji coba yang telah dilakukan dengan melihat hasil dari rata-rata nilai tiap siswa. Nilai siswa yang menggunakan Adaptive Test hasilnya lebih meningkat dibandingkan dengan nilai siswa yang menggunakan Konvensional Test. Dari rata-rata nilai siswa yang menggunakan Adaptive Test yakni 80, sedangkan rata-rata nilai siswa yang menggunakan Konvensional Test yakni 60.882353.Kata Kunci : E-Learning, Fuzzy Item Response Theory (FIRT), Adaptive Test, Konvensional Test.ABSTRACTNowadays e-learning has been widely accepted by the world society, it proved by the widespread implementation of e-Learning in the education institution and industry. E-Learning is one of the educational system that enables the students to get the teaching materials by use internet, computer networks, or the medias. Adaptive test is an automatic test system that adaptively did by adapting the difficulty level of the questions with each test participator’s abilities. The given questions are dependent by previuous answer : true or false. And the result is the level of the test participator ability. One of the used method in adaptive test is fuzzy item response theory (FIRT) model that implemented in adaptive test application production for educational environment. Based on the experimental result, can be concluded that, by appliying fuzzy item response theory , it can put the student to their ability level. The student’s score are increase by using adaptive test if it compared with conventional test. It proved with an experiment by look the average result from every student. Student’s scores who is using adaptive test is increaser than using the conventional test score. By the average score of students who use adaptive test are 80, while the average score of students who use the conventional test are 60.882353.Keywords: E-Learning, Fuzzy Item Response Theory (FIRT), Adaptive Test, Conventional Test
PERANCANGAN DAN PEMBUATAN SISTEM PENDUKUNG KEPUTUSAN PENENTUAN PEMBERIAN BEASISWA MENGGUNAKAN METODE FUZZY ANALYTICAL HIERARCHY PROCESS(FAHP) DAN ORESTE (STUDI KASUS: Universitas Trunojoyo Madura) Ayu wulandari; Rika Yunitarini; Andharini Dwi Cahyani
Jurnal Simantec Vol 4, No 3 (2015)
Publisher : Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/simantec.v4i3.1381

Abstract

ABSTRAKPada lembaga pendidikan khususnya Universitas banyak sekali menawarkan beasiswa kepada mahasiswa, terutama bagi mahasiswa yang sedang aktif kuliah, beasiswa yang ditawarkan diantaranya beasiswa PPA dan BBM. Untuk memilih penerima yang benar-benar layak mendapatkan beasiswa maka terdapat beberapa kriteria untuk proses seleksi yang akan dibobotkan menggunakan metode FAHP yaitu Indeks Prestasi Kumulatif, jumlah semester, penghasilan orang tua per bulan, jumlah tanggungan keluarga, daya listrik rumah, dan pekerjaan orang tua. Sedangkan untuk proses perangkingan data pendaftar beasiswa digunakan metode Oreste. Metode fuzzy AHP digunakan karena dapat menyederhanakan kompleksitas dan mengakomodir pendapat dan subjektifitas dari penilaian yang berbeda dan menerjemahkan pendapat Manusia yang memiliki ketidakpastian dalam melakukan pembobotan nilai(Chang, 1996). Sedangkan Oreste digunakan untuk kondisi dimana sekumpulan alternatif akan diurutkan berdasarkan kriteria sesuai dengan tingkat kepentingannya. Kemudian data Hasil seleksi penerima beasiswa yang dilakukan oleh sistem dibandingkan dengan data penerima asli/riil dengan cara mencari total data penerima yang sama pada data penerima beasiswa riil dan data penerima pada masing-masing fakultas yangterdapat di Universitas Trunojoyo Madura yaitu Fakultas Teknik, Fakultas Ekonomi, Fakultas Pertanian dan Fakultas Hukum. Secara keseluruhan dapat dikatakan bahwa hasil akurasi menggunakan sistem penyeleksian beasiswa menggunakan metode FAHP dan Oreste sebesar 74.9%.Kata Kunci : Sistem Pendukung Keputusan, Beasiswa, FAHP, Oreste. ABSTRACTIn educational institutions, especially the University of innumerable offer scholarships to students, especially for students who are active in college, scholarships offered them scholarships PPA and BBM. To select recipients who really deserve a scholarship then there are some criteria for the selection process will be weighted using FAHP method is GPA, number of semesters, parents income per month, number of dependents, power house, and the work of parents. As for the process of ranking the registrant data is also used method of Oreste. Fuzzy AHP method is used because it can simplify the complexity and subjectivity of opinion and accommodate different assessments and translate human opinion that has uncertainty in doing weighting value (Chang, 1996). While Oreste used to the conditions in which a set of alternatives will be sorted based on the criteria according to their importance. Then the data results grantee selection performed by the system as compared to the original recipient data / real by looking for the same total data receiver to the data of real scholarship recipient and recipient data on each faculty contained inTrunojoyo University the Faculty of Engineering, Faculty of Economics , Faculty of Agriculture and Faculty of Law. Overall it can be said that the accuracy of the results of the screening system using scholarships using FAHP method and Oreste at 74.9%.Keywords: Decision Support Systems, Scholarship, FAHP, Oreste.
Implementation Of Fuzzy Logic Control Method On Chilli Cultivation Technology Based Smart Drip Irrigation System Faikul Umam; Ach. Dafid; Andharini Dwi Cahyani
Jurnal Ilmiah Teknik Elektro Komputer dan Informatika Vol 9, No 1 (2023): March
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26555/jiteki.v9i1.25878

Abstract

Herbal chili plants are very beneficial from a health and economic perspective. In the process of cultivating herbal chili plants, there are still many problems that need to be faced, including unfavorable climatic conditions and less intensive cultivation processes. Based on this description, to overcome these problems, technological innovation is needed that can be implemented directly in the cultivation of herbal chili plants. This situation can be achieved by applying a drip irrigation system. This system makes it possible to control the water supply requirements of chili herbs efficiently. System stability can run optimally when combined with a method that can make a decision quickly. Fuzzy logic is used in research because it is able to provide appropriate decisions on temperature and soil moisture data in chili herbs. This research is expected to overcome the problem of water shortages in barren areas. And increase people's interest in the cultivation of herbal chili plants. This research is also an overview and framework for developing the agricultural sector in Madura in the technology field. The results of this study indicate that technology can be designed and integrated with the fuzzy logic control method, then the results of testing the tool also show a 99,98% success rate. This is shown by the results of testing in the morning, afternoon, and evening. The contribution of this study is the control of temperature and humidity which in other studies only focused on the soil, not on the temperature and humidity of the air around the herbal chili plants with a system that has been controlled using the fuzzy method.
Klasifikasi Diabetes Mellitus Menggunakan Support Vector Machine (Studi Kasus: Puskesmas Modopuro, Mojokerto) Andharini Dwi Cahyani; Ari Basuki
Rekayasa Vol 12, No 2: Oktober 2019
Publisher : Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/rekayasa.v12i2.19763

Abstract

Diabetes Melitus (DM) merupakan salah satu penyakit dimana tubuh seorang pasien tidak dapat mengontrol tingkat konsentrasi gula (glukosa). Ada beberapa indikator kondisi tubuh pasien yang menunjukkan adanya penyakit diabetes. Pada penelitian ini dilakukan pengelompokan pasien DM dengan menggunakan metode Machine Learning. Algoritma yang digunakan adalah Support Vector Machine (SVM) yang merupakan metode klasifikasi supervised learning. SVM bekerja dengan membagi dataset menjadi 2 bagian dengan menggunakan garis linear (hyperplane) yang optimal. Target dari klasifikasi digunakan untuk memprediksi apakah pasien dengan indikator kondisi tubuh tertentu merupakan pasien DM yang terdeteksi atau tidak. Dari data yang diperoleh dari Puskesmas Modopuro, terdapat beberapa missing value. Pada penelitian ini, missing value diatasi dengan cara melakukan imputasi. Ada 3 kernel yang digunakan pada metode SVM, yaitu linear, polynomial, dan sigmoid. Pengukuran kinerja 3 jenis kernel tersebut akan menggunakan 5 subset cross validation. Nilai akurasi cross validation terbaik yang didapatkan menggunakan kernel linear, polynomial, dan sigmoid masing-masing yaitu 62%, 64%, dan 54%. Berdasarkan hasil pengamatan kernel polynomial mendapatkan hasil akurasi yang lebih baik dari kernel lainnya
Rekomendasi Pemilihan Supplier pada UMKM Produsen Tas menggunakan metode AHP – PROMETHEE Ari Basuki; Andharini Dwi Cahyani
Rekayasa Vol 12, No 2: Oktober 2019
Publisher : Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/rekayasa.v12i2.19764

Abstract

UD Sumber Rejeki merupakan UMKM yang memproduksi tas handbag sebagai produk utama. Dalam proses produksi, salah satu kendala utama yaitu keterlambatan bahan baku. Keterlambatan bahan baku diakibatkan oleh kesalahan dalam pemilihan supplier. Pemilihan supplier merupakan salah satu faktor penting berjalannya sebuah perusahaan. Ketika bahan baku sudah terpenuhi dengan baik, maka proses produksi bisa berjalan. Pemilihan supplier memerlukan kriteria dalam mendukung keputusan di dalamnya. Maka dari itu digunakan metode AHP dalam menentukan kriteria dan bobot di dalamnya. Dan digunakan metode PROMETHEE untuk mendapatkan perangkingan hasil kinerja supplier. Didapatkan dari lima supplier langganan, Supplier yang menjadi rekomendasi kepada UD Sumber Rejeki adalah supplier dengan kinerja terbaik yang sudah dinilai dengan AHP dan PROMETHEE. Supplier tersebut adalah supplier 3 (Aini) dengan nilai net flow sebesar 0,5438, S2 (Prima) sebesar 0,4099, S4 (Akbar) sebesar 0,0438. Ketiga supplier ini merupakan supplier prioritas yang diusulkan kepada UD Sumber Rejeki dan Supplier 3 memiliki kinerja terbaik yang akan dijadikan prioritas utama.
Metode Line Balancing Heuristik untuk Penyeleseian Masalah Terjadinya Bottleneck pada Lintasan Produksi Ari Basuki; Andharini Dwi Cahyani
Rekayasa Vol 13, No 3: December 2020
Publisher : Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/rekayasa.v13i3.19765

Abstract

Meningkatnya jumlah Work In Process (WIP) pada lantai produksi atau bottleneck merupakan salah satu permasalahan yang bisa menyebabkan terjadinya keterlambatan suplai produk kepada konsumen. Dampak lain dari terjadinya bottleneck yaitu dapat menyebabkan penumpukan bahan baku setengah jadi pada lantai produksi sehingga WIP menjadi tinggi. Kondisi ini merupakan kondisi merugikan yang harus dihindari oleh perusahaan. Tujuan dari penelitian ini adalah memberikan usulan perbaikan pada permasalahan terjadinya bottleneck di lintasan produksi dengan menggunakan beberapa metode line balancing heuristik, yaitu metode Helgesson-Birnie / Ranked Positional Weight (RPW), metode Region Approach, metode Largest Candidate Rule dan metode J-Wagon yang diterapkan di perusahaan manufaktur (PT.’X’) yang memproduksi pallet. Hasil penelitian diketahui bahwa pada penerapannya metode J-Wagon terpilih sebagai metode yang paling optimal diantara metode lainnya tersebut. Rekomendasi untuk PT.’X’ dalam mengatasi permasalahan bottleneck yaitu dengan pembentukan stasiun kerja yang awalnya memiliki jumlah 5 stasiun kerja diubah menjadi 4 stasiun kerja. Ini menghasilkan perbaikan lini lintasan kerja yang awalnya memiliki line efficiency sebesar 69%, balance delay sebesar 31%, smoothness index sebesar 9.22 dan total waktu menganggur sebesar 3.60 menit menjadi line efficiency sebesar 86%, balance delay sebesar 14%, smoothness index sebesar 0.80 dan total waktu menganggur sebesar 1.28 menit.
Aspect-Based Sentiment Analysis from User-Generated Content in Shopee Marketplace Platform Andharini Dwi Cahyani
Jurnal Ilmiah Teknik Elektro Komputer dan Informatika Vol 9, No 2 (2023): June
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26555/jiteki.v9i2.26367

Abstract

A number of businesses, such as TripAdvisor, Open Table, and Yelp, have successfully utilized aspect-based sentiment analysis in order to gain insights from reviews provided by customers and enhance the quality of their goods or services.  Businesses are able to swiftly discover any unfavorable sentiment or possible harm to their brand when they analyze client input across numerous aspects from social media, online reviews, and conversations with customer care representatives. This study aims to explain how aspect-based semantic analysis of market-collected user-generated data through performance comparisons of Doc2vec and TF-IDF vectorization. Both Doc2Vec and TF-IDF have their own distinctive qualities, which might vary according on the nature of the job, the dataset, and the volume of the available training data. For the objectives of this research, the data was obtained from several of fashion merchants that run their companies by means of the Shopee platform, which is a well-known online marketplace platform in Indonesia.  In this research, the accuracy and F1 Score achieved by Doc2Vec vectorization was superior to those achieved by TF-IDF vectorization. Our findings shows that Doc2Vec vectorization is better for classifying customer ratings because it can pull out the semantic meaning of words in a document. The findings also shows that the score of c and gamma parameter have significant impact to the score of Accuracy and F1 Score of the classifier.By precisely categorizing client sentiment, this study enables businesses to improve their services, respond to customers' problems, and increase their customer satisfaction.
Pelatihan Penggunaan Software Video Editor Sebagai Sarana Promosi Wisata Madura Cahyani, Andharini Dwi
Jurnal Ilmiah Pangabdhi Vol 8, No 1: April 2022
Publisher : LPPM Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/pangabdhi.v8i1.13823

Abstract

This training activity on the use of video editing software was held in order to improve the ability of Human Resources (HR) of members of the Madura tourism service provider association. Video editing skills are considered important, especially for media promotion of tourist attractions, be it natural tourism, cultural tourism or culinary tourism. The purpose of this community service activity is to increase the knowledge of Madura tourism service providers to promote their business. Another objective is to establish cooperation between Higher Education and the business sectors in society. The training method used was lecture and practice. The laptop used in this training are the property of each member of the association. The results of this training show that the association members, who are mostly SME entrepreneurs in the Madura tourism sector, are enthusiastic about participating in the training activities.
KOREKSI KESALAHAN EJAAN PADA PENCARIAN ARTIKEL PARIWISATA BERBAHASA INDONESIA MENGGUNAKAN LEVENSHTEIN DISTANCE Suzanti, Ika Oktavia; Dwi Putra Negara, Yudha; Radiah, Aisyatur; Dwi Cahyani, Andharini; Husni, Husni
Jurnal Simantec Vol 13, No 1 (2024): Jurnal Simantec Desember 2024
Publisher : Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/simantec.v13i1.28186

Abstract

The information technology development in current digital era, brings changes and fast and accurate access to information in all aspects of human life, including tourism news as one example. In deciding to go on vacation to a place, tourists need references to tourist attractions, one of which is through online articles. This makes it easier for tourists to find references through tourism news portals using search engines. Spelling correction is the most common way to identify and provide suggestions or ideas for misspelled words in a text. Spelling correction can be used to correct spelling errors from Indonesian queries entered into tourism articles. The Levenshtein Distance method is one method that can be used to correct spelling errors caused by typing errors so that the results given do not match the existing query (keywords). This method works by creating a matrix to measure the amount of difference between two string s. The results of this study indicate that the use of the Levenshtein Distance method in correcting word spelling is very good with a precision value of 1.0 and a recall of 0.89.Keywords: Indonesian language, Spelling Correction, Levenshtein Distance
Co-Authors Amin, Salman Ari Basuki Ayu wulandari Bain Khusnul Khotimah Bain Khusnul Khotimah Dafid, Ach Diah Kusumawati Dwi Puji Raharjo Eka Mala Sari Rohman Eko Handoyo Faikul Umam Fathoni, Moh. Wildan Fika Hastarita Rachman, Fika Hastarita Husni Husni Ika Oktavia Suzanti Mochammad Kautsar Sophan Mohammad Irfan Muhammad Fuad R, Fika Hastarita R, Fika Hastarita Radiah, Aisyatur Rika Yunitarini Rizkillah, Rafil Tania Rizkillah, Rafil Tania Sariyanti Astutik Siswanto A, Zaenal Yeni Kustiyahningsih Yudha Dwi Putra Negara, Yudha