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All Journal IJCCS (Indonesian Journal of Computing and Cybernetics Systems) CAUCHY: Jurnal Matematika Murni dan Aplikasi TELKOMNIKA (Telecommunication Computing Electronics and Control) REKAYASA Scientific Journal of Informatics Jurnal Ilmiah Teknik Industri Journal of Information Systems Engineering and Business Intelligence Jurnal Fourier INTENSIF: Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi Jurnal Matematika: MANTIK JBMP (Jurnal Bisnis, Manajemen dan Perbankan) BAREKENG: Jurnal Ilmu Matematika dan Terapan Matrix : Jurnal Manajemen Teknologi dan Informatika JOURNAL OF APPLIED INFORMATICS AND COMPUTING JTAM (Jurnal Teori dan Aplikasi Matematika) MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer Teorema: Teori dan Riset Matematika Mathvision : Jurnal Matematika Systemic: Information System and Informatics Journal Computer Science and Information Technologies Euler : Jurnal Ilmiah Matematika, Sains dan Teknologi Enthusiastic : International Journal of Applied Statistics and Data Science Jurnal Matematika Integratif Engagement: Jurnal Pengabdian Kepada Masyarakat International Journal of Computing Science and Applied Mathematics-IJCSAM
Yuniar Farida
Universitas Islam Negeri Sunan Ampel Surabaya
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Mathematics Mechanical Engineering Physics Social Sciences Transportation

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Multi Unit Spares Inventory Control-Three Dimensional (MUSIC 3D) Approach to Inventory Management Zaidatun Ni'mah; Yuniar Farida
Jurnal Matematika MANTIK Vol. 5 No. 1 (2019): Mathematics and Applied Mathematics
Publisher : Mathematics Department, Faculty of Science and Technology, UIN Sunan Ampel Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (353.827 KB) | DOI: 10.15642/mantik.2019.5.1.19-27

Abstract

Inventory control is a series of efforts that need to be done for each company to generate the maximum profit from existing inventory. In this study inventory control was conducted through the Multi-Unit Spares Inventory Control – Three Dimensional (MUSIC 3D) approach at PT Fajar Mas Murni Surabaya using three analysis, namely ABC analysis, SDE analysis, and FSN analysis. The result of ABC analysis show that category A consists of 6 items (3%) which contribute 81% to company income, category B consists of 16 items (8%) which contributes 15% to company income, while category C consists of 190 items (89%) which contribute 4% to company income. The result of SDE analysis shows that category S consists of 127 items (60% of all items), category D consists of 43 items (20% of all items), while category E consist of 42 items (20% of all items). The result of FSN analysis show that category F consists of 15% (7% of all items), category S consists of 41 items (19% of all items) and category N consists of 156 items (74% of all items).
Implementation of The Open Jackson Queuing Network to Reduce Waiting Time Monike Febriyani Faris; Yuniar Farida; Dian C. Rini Novitasari; Nurissaidah Ulinnuha; Moh. Hafiyusholeh
Jurnal Matematika MANTIK Vol. 6 No. 2 (2020): Mathematics and Applied Mathematics
Publisher : Mathematics Department, Faculty of Science and Technology, UIN Sunan Ampel Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15642/mantik.2020.6.2.83-92

Abstract

Waiting for service is a common thing in-hospital services. The more patients are waiting, the service delay increases, so waiting time in the queue gets longer. In health care in a hospital, a patient will queue several times in more than one queue in a hospital outpatient installation. The case study in this research is the queue system in the hospital's outpatient treatment, implementing an open Jackson queueing network to minimize waiting time. The workstations examined in this study were the registration, pre-consultation, and cardiology poly consultation, and pharmacy. The data is carried out for six days, counting the number of arrivals and departures with each point at intervals of 5 minutes. Applying the Jackson open queue network model, a recommendation was obtained for the hospital to increase employees' numbers. The registration workstation must have four servers; a poly cardiology workstation had three nurses and four doctors, while for pharmacy, had seven employees. With this personnel's addition, patients' total waiting time in the queuing system is approximately 12 minutes/patient. So, it can reduce waiting times in the queueing system that was initially 108 minutes/patient.
APLIKASI FUZZY INFERENCE SYSTEM DENGAN METODE MAMDANI UNTUK MENENTUKAN STATUS GIZI BALITA DI KOTA SURABAYA Dian Candra Rini; Yuniar Farida; Nurissaidah Ulinnuha; Galuh Andriani; Luluk Mahfiroh
MathVisioN Vol 1 No 1 (2019): Maret 2019
Publisher : Prodi Matematika FMIPA Unirow Tuban

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (560.166 KB)

Abstract

Gizi adalah pilar utama dari kesehatan dan kesejahteraan sepanjang kehidupan. Status gizi adalah keadaan sebagai akibat konsumsi makanan dan penggunaan zat-zat gizi. terciptanya tumbuh kembang balita yang optimal merupakan hal yang diinginkan. Indikator yang sering digunakan dalam menentukan status gizi adalah kombinasi dari Berat (W) dan Tinggi (H) yang disimbolkan dengan W/H. Tujuan dari penelitian ini untuk menerapkan Fuzzy Inference System dengan metode Mamdani untuk menentukan status gizi balita di kota Surabaya. Inputnya adalah berat dan tinggi badan balita. Ada sembilan aturan yang digunakan dan output adalah status gizi. Klasifikasi yang terdiri dari empat kriteria: sangat kurus, wasting, normal, dan kelebihan berat badan. Sistem inferensi fuzzy yang digunakan adalah metode Mamdani.
Sistem Prediksi Saham Menggunakan Adaptive Neuro Fuzzy Inference System (Studi Kasus Saham Mingguan PT Astra Agro Lestari,Tbk) Yuniar Farida
Systemic: Information System and Informatics Journal Vol. 2 No. 2 (2016): Desember
Publisher : Program Studi Sistem Informasi Fakultas Sains dan Teknologi, UIN Sunan Ampel Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (759.745 KB) | DOI: 10.29080/systemic.v2i2.113

Abstract

Informasi mengenai harga saham sangat dibutuhkan oleh investor karena pembelian saham akan dilakukan pada saat harga rendah dan sebaliknya penjualan saham dilakukan pada saat harga tinggi. Untuk memprediksi perubahan harga-harga saham di setiap periode dapat dilakukan penelitian sebagai acuan bagi investor dan manajemen perusahaan dalam mengambil keputusan. Metode yang digunakan untuk memprediksi yaitu metode Adaptive Neuro Fuzzy Inference System (ANFIS). Pada penelitian ini metode ANFIS diimplementasikan dengan struktur standar ANFIS yaitu lima layer. Namun sebagai data inputan dianalisis menggunakan analisis time series. Kemudian dihitung RSME sistem prediksi tersebut menggunakan data training dan data testing yang diambil secara acak. Hasil perhitungan RSME dalam proses prediksi diharapkan mengetahui pengolahan data untuk time series begitupun untuk mendapatkan error terkecil sebesar 0,001.
Klasifikasi Mahasiswa Penerima Program Beasiswa Bidik Misi Menggunakan Naive Bayes Yuniar Farida; Nurissaidah Ulinnuha
Systemic: Information System and Informatics Journal Vol. 4 No. 1 (2018): Agustus
Publisher : Program Studi Sistem Informasi Fakultas Sains dan Teknologi, UIN Sunan Ampel Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (538.835 KB) | DOI: 10.29080/systemic.v4i1.317

Abstract

Program beasiswa Bidik Misi merupakan program bantuan biaya pendidikan yang diberikan oleh Kementrian Riset Teknologi dan Pendidikan Tinggi kepada mahasiswa yang memiliki tingkat ekonomi menengah ke bawah namun memiliki potensi akademik yang baik. Universitas Islam Negeri Sunan Ampel Surabaya merupakan perguruan tinggi dengan jumlah pendaftar Bidik Misi yang terus meningkat setiap tahunnya namun hanya menerima dengan kuota yang sangat terbatas. Dengan banyaknya persyaratan dalam proses penyeleksian dan melihat banyaknya jumlah pendaftar, maka diperlukan sebuah sistem yang mampu membantu dalam proses penyeleksian mahasiswa pendaftar Bidik Misi dengan cepat, mudah dan tepat sasaran. Dalam penelitian ini, digunakan metode Naive Bayes classifier dengan menggunakan variabel penghasilan orang tua, prestasi akademik, prestasi non akademik, uang kuliah tunggal, daya listrik serta jumlah tanggungan keluarga. Keenam variabel tersebut digunakan dalam proses klasifikasi sebagai indikator penentuan kelayakan mahasiswa mendapatkan beasiswa. Sistem yang dibuat dengan metode Naive Bayes classifier sudah baik, dibuktikan dengan hasil akurasi hingga 83,33 %.
PERAMALAN INDEKS PEMBANGUNAN MANUSIA (IPM) KABUPATEN BOJONEGORO MENGGUNAKAN METODE DOUBLE EXPONENTIAL SMOOTHING BROWN Yuniar Farida; Diah Ayu Sulistiani; Nurissaidah Ulinnuha
Teorema: Teori dan Riset Matematika Vol 6, No 2 (2021): September
Publisher : Universitas Galuh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25157/teorema.v6i2.5521

Abstract

Pembangunan manusia kini dipandang sebagai tolak ukur keberhasilan pembangunan suatu bangsa yang berkaitan erat dengan bidang ekonomi, sosial, budaya, politik, dan lingkungan. Keberhasilan pembangunan manusia diukur berdasarkan Indeks Pembangunan Manusia (IPM). Kabupaten Bojonegoro merupakan salah satu kabupaten di Provinsi Jawa Timur yang mempunyai sumber daya alam yang beragam dan melimpah. Besarnya potensi sumber daya alam yang dimiliki seharusnya sejalan dengan kualitas pembangunan manusianya. Namun ternyata hal tersebut tidak sejalan dengan nilai IPM Kabupaten Bojonegoro yang berada di bawah rata-rata nilai IPM Jawa Timur. Sehingga pemerintah Bojonegoro terus berupaya untuk memaksimalkan potensi dan meningkatkan nilai IPM. Berdasarkan hal tersebut maka perlu dilakukan peramalan (forecasting) sebagai acuan untuk memaksimalkan tingkat pembangunan manusia di Kabupaten Bojonegoro pada beberapa tahun yang akan datang. Pada penelitian ini, untuk meramalkan IPM di Kabupaten Bojonegoro menggunakan metode Double Exponential Smoothing (DES) dari Brown dengan data yang digunakan merupakan data IPM di Kabupaten Bojonegoro dari tahun 2010 sampai 2020. Data yang digunakan diperoleh dari Badan Perencanaan Pembangunan Daerah (Bappeda) dan Badan Pusat Statistik (BPS) Kabupaten Bojonegoro. Berdasarkan hasil perhitungan, peramalan terbaik diperoleh berdasarkan nilai parameter α 0.7 dengan besar nilai MAPE 0.376% yang masuk kriteria sangat baik. Hasil peramalan IPM untuk tahun 2021 sebesar 69.61, untuk tahun 2022 sebesar 70.14, dan untuk tahun 2023 sebesar 70.67 termasuk kategori IPM sedang. Kata kunci: Double exponential smoothing brown, Indeks Pembangunan Manusia (IPM), peramalan
ADMINISTRASI SURAT BERBASIS MICROSOFT ACCESS PADA BPJS KETENAGAKERJAAN KANTOR WILAYAH JAWA TIMUR Yuniar Farida; Latifatun Nadya Desinaini
Matrix : Jurnal Manajemen Teknologi dan Informatika Vol 11 No 1 (2021): MATRIX - Jurnal Manajemen Teknologi dan Informatika
Publisher : Unit Publikasi Ilmiah, P3M Politeknik Negeri Bali

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31940/matrix.v11i1.2334

Abstract

The role of technology in an institution is beneficial for any activities, especially in managing documents administration, which is now most of the company used digital archive systems. That's because the manual archive system is considered less effective and efficient, where it takes a lot of space and time to search for document archives. Microsoft Access is a windows-based database processing program with Visual Basic for Application (VBA), commonly used to create a windows-based application. The purpose of this paper is to make an administration letter and archives system based on Microsoft Access. The results of this design have passed the trial process for approximately two weeks and received a positive response. The system design can be run well, and its functions correctly without errors. So it can help the secretary or other employees to manage all documents (letters and archives) more accessible and faster.
Forecasting Population of Madiun Regency Using ARIMA Method Yuniar Farida; Mayandah Farmita; Nurissaidah Ulinnuha; Dian Yuliati
CAUCHY: Jurnal Matematika Murni dan Aplikasi Vol 7, No 3 (2022): CAUCHY: JURNAL MATEMATIKA MURNI DAN APLIKASI
Publisher : Mathematics Department, Universitas Islam Negeri Maulana Malik Ibrahim Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/ca.v7i3.16156

Abstract

The high population growth of the Madiun Regency can cause population density that can have implications for other problems, both in terms of social, economic, welfare, security, land availability, availability of clean water, and food needs. This study aims to predict the population growth of Madiun Regency using the ARIMA method. The ARIMA (Autoregressive Integrated Moving Average) method is popular for forecasting time series data, which is reliable because the calculation process is done gradually. This study uses annual population data of Madiun Regency from 1983 to 2021 and produces an ARIMA forecasting model (0,2,1) with a MAPE value of 8.42%. The results of this study are expected to be used as information from the Madiun Regency government in anticipating the emergence of problems caused by the population level of Madiun Regency in the future.
Selecting the Best-Performing Low-Cost Carrier (LCC) Airlines Using Analytical Hierarchy Process (AHP) and Elimination et Choix Traduisant la Realite (ELECTRE) Yuniar Farida; Husna Nur Laili; Achmad Teguh Wibowo; Latifatun Nadya Desinaini; Silvia Kartika Sari
Journal of Information Systems Engineering and Business Intelligence Vol. 8 No. 2 (2022): October
Publisher : Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/jisebi.8.2.196-206

Abstract

Background: Low-cost carrier (LCC) is a popular air transportation service as it offers affordable fares. Many airlines have adopted the LCC system because they need to adapt to the changes in the airline industry. The competition is tight. Despite the low cost, consumers demand quality services. Therefore, LCC airlines need to find their competitive edge. Objective: This study aims to determine the best-performing LCC airlines, the criteria, and the sub-criteria to improve the performance. Methods: This study uses two methods from multi-criteria decision-making (MCDM), namely the analytical hierarchy process (AHP) and elimination et choix traduisant la realite (ELECTRE) II. The MCDM is selected for this study because there are four criteria and 21 sub-criteria to evaluate airline performance. The AHP method selects subcriteria that affect airline customer satisfaction. It solves complex problems by establishing a hierarchy. After being assessed by relevant parties, weights or priorities are developed. The results are used to determine the best-performing airline. Meanwhile, the ELECTRE II method ranks the airline’s alternatives. This method is straightforward and widely used in the MCDM. Results: The results indicate that four criteria and 18 sub-criteria affect the performance of LCC airlines in Indonesia. The LCC airline with the best performance is AirAsia, followed by Citilink, Wings Air, and Lion Air. Conclusion: This research integrates the AHP and ELECTRE II methods in evaluating the performance of LCC airlines. This research also provides information about the criteria and sub-criteria to improve airline performance, hence, the customer experience.
Selecting The Best Broiler Chicken Supplier of PT Sentral Unggas Perkasa Using Analytical Hierarchy Process and Weighted Product Methods Yuniar Farida; Putri Krismadewi; Dian Yuliati; Hani Khaulasari
Jurnal Ilmiah Teknik Industri Vol. 21, No. 2, December 2022
Publisher : Department of Industrial Engineering Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/jiti.v21i2.18045

Abstract

PT SUP is one of the companies engaged in trading broiler chicken products. Supplying broiler chickens to PT SUP sometimes results in product instability, and some conditions are inadequate; the financing process is not by income or obstacles that occur when serving customers. So this can disappoint the customers of PT SUP. This study aims to select suppliers for 4 out of 6 breeders chosen as the best suppliers and will get a reward from PT SUP to improve the performance and product results of the suppliers. The selection of the best supplier is based on the criteria that have been owned, namely Based on Curriculum Vitae (CV), location of the cage, capital, and service. The six suppliers come from 3 (each city has two suppliers), namely Lumajang, Lamongan, and Kediri. In this study, the author uses the AHP (Analytic Hierarchy Process) method to produce a consistent value of comparison results. It can be continued with the WP (Weighted Product) approach to get the value of the V vector for ranking alternatives. PT SUP will beard the results of the selection of the best four suppliers. The best supplier of PT SUP are Y1, Y4, Y2 dan Y3. Combining these two methods is a form of contribution to the MCDM enrichment.
Co-Authors Abdul Muhid Abdulloh Hamid Achmad Teguh Wibowo Adam Fahmi Khariri Afanin Hamidah Ahmad Hanif Asyhar Ahmad Teguh Wibowo Ahmad Zaenal Arifin Ainiyah, Lailatul Akbar, Fadilah Ambadar, Panreshma Rizkha Aris Fanani Auditiyah, Cellyn Desinaini, Latifatun Nadya Diah Ayu Sulistiani Dian C Rini Dian C. Rini Novitasari Dian Yuliati Dwi Puspitasari Efendi, Havid FAJAR SETIAWAN Fanani, Aris Farmita, Mayandah Ferdani, Ayu Fifi D. Rosalina Galuh Andriani Ghina Salsabila Firdaus Hani Khaulasari Husna Nur Laili Ida Purwanti Khasanah, Zhara Shafira Uswatun Latifatun Nadya Desinaini Latifatun Nadya Desinaini Lubab, Ahmad Luluk Mahfiroh LULUK WULANDARI Lutfi Hakim M Mahaputra Hidayat Mahfiroh, Luluk Maulida, Eka Agustina Mayandah Farmita Moh. Hafiyusholeh Moh. Hartono Monike Febriyani Faris Montolalu, Billy Nadiyah, Fithrotun Nanda, Nafa Nur Adifia Novitasari, Dian C Rini Nurfadila, Monika Refiana Nurissaidah Ulinnuha Pramesti, Diah Devi pratiwi, Yuniar Ines Purwanti, Ida Putra Prima Arhandi, Putra Prima Putri Krismadewi Putroue Keumala Intan Saidah, Nayla Fitriyatus Saputra, Yahya Vigo Tri Sari, Dian Candra Rini Novita Sari, Ghaluh Indah Permata Sari, Silvia Kartika Silvia Kartika Sari Silvia Kartika Sari Silvia Kartika Sari Siti Nur Aisah Swantika, Cicik Tiarra Dellaviyanie Muryanto Tiasti, Roro Niken Enggar Utami, Tri Mar'ati Nur Vianti, Febi Wika Dianita Utami Wika Dianita Utami Yuliati, Dian Yusi, Suyesti Zaen, Nanida Jenahara Zaidatun Ni'mah Zainullah Zuhri