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All Journal Indonesian Journal of Electronics and Instrumentation Systems TELKOMNIKA (Telecommunication Computing Electronics and Control) Journal of Information Systems Engineering and Business Intelligence Jurnal Sains Matematika dan Statistika Prosiding SI MaNIs (Seminar Nasional Integrasi Matematika dan Nilai-Nilai Islami) Jurnal Matematika: MANTIK Jurnal RESISTOR (Rekayasa Sistem Komputer) Mathvision : Jurnal Matematika Systemic: Information System and Informatics Journal Indonesian Psychological Research Jurnal Nasional Teknik Elektro dan Teknologi Informasi Journal Focus Action of Research Mathematic (Factor M) Istithmar: Jurnal Studi Ekonomi Syariah Engagement: Jurnal Pengabdian Kepada Masyarakat
Fanani, Aris
Department Of Mathematics, Faculty Of Science And Technology, UIN Sunan Ampel Surabaya, Indonesia
Religion Arts Humanities Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Health Professions Mathematics Social Sciences Other

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Implementasi Kriptografi pada Teks Menggunakan Metode Block Chiper Mif'atul Mahmudah; Aris Fanani; Moh Hafiyusholeh
Prosiding SI MaNIs (Seminar Nasional Integrasi Matematika dan Nilai-Nilai Islami) Vol 2 No 1 (2018): Prosiding SI MaNIs (Seminar Nasional Integrasi Matematika dan Nilai Islami)
Publisher : Mathematics Department

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1063.44 KB)

Abstract

Berkembangnya teknologi dan komunikasi memudahkan kriptanalis untuk melakukan penyadapan, untuk menghindari hal tersebut perlu dilakukan pengamanan terhadap informasi yang dikirim, salah satu ilmu yang digunakan dalam mengamankan data adalah kriptografi dengan metode block chipper, dimana algoritma block chipper yang digunakan dalam penelitian iniadlah algoritma tanam padi dan bajak sawah, algoritma tersebut dipilih karena memiliki kecepatan enkripsi dan dekripsi lebih cepat dibandingkan dengan metode AES (Advanced Encryption Standard). Proses pembangkitan kunci dimulai dengan merubah kunci yang telah ditentukan yaitu “muslimah” kedalam bentuk biner, selanjutnya pemasukan dan pengambilan bit dengan pola bajak sawah. Proses enkripsi dimulai dengan merubah plainteks “mahmudah” kedalam bentuk biner, selanjutnya pemasukan dan pengambilan bit dilakukan dengan pola tanam padi, hasil dari pengambilan plainteks dan pembangkitan kunci kemudian di XoRkan, diproses sampai delapan putaran, sehingga dihasilkan enkripsi“EOTZb”. Proses dekripsi yaitu chipperteks di XoR kan dengan kunci yang telah dibangkitkan. Hasil XoR dimasukan kedalam bit menggunakan pola pengambilan plainteks dan diambil dengan pola pemasukan plainteks, setelah itu hasilnya di XoR kan dengan kunci yang telah dibangkitkan. Proses tersebut diulang sampai delapan kali putaran, menghasilkan dekripsi yaitu “mahmudah”.
Regression model focused on query for multi documents summarization based on significance of the sentence position Aris Fanani; Yuniar Farida; Putra Prima Arhandi; M. Mahaputra Hidayat; Abdul Muhid; Billy Montolalu
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 17, No 6: December 2019
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v17i6.12494

Abstract

Document summarization is needed to get the information effectively and efficiently. One method used to obtain the document summarization by applying machine learning techniques. This paper proposes the application of regression models to query-focused multi-document summarization based on the significance of the sentence position. The method used is the Support Vector Regression (SVR) which estimates the weight of the sentence on a set of documents to be made as a summary based on sentence feature which has been defined previously. A series of evaluations performed on a data set of DUC 2005. From the test results obtained summary which has an average precision and recall values of 0.0580 and 0.0590 for measurements using ROUGE-2, ROUGE 0.0997 and 0.1019 for measurements using the proposed regression-SU4. Model can perform measurements of the significance of the position of the sentence in the document well.
WATERMARKING CITRA DIGITAL MENGGUNAKAN METODE DISCRETE COSINE TRANSFORM Aris Fanani; Nurissaidah Ulinnuha
Jurnal Matematika MANTIK Vol. 1 No. 2 (2016): Mathematics and Applied Mathematics
Publisher : Mathematics Department, Faculty of Science and Technology, UIN Sunan Ampel Surabaya

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Abstract

Pada paper ini, mengusulkan penyisipan watermark pada citra grayscale dan RGB dengan cara modulating relative size pada blok koefisien DCT. Watermark disisipkan pada blok-blok frekuensi menengah. Modulating relative size pada blok koefisien DCT diterapkan dengan menambahkan atau mengurangi blok-blok koefisien DCT. Dari uji coba yang dilakukan metode yang diusulkan menghasilkan watermark yang tahan terhadap berbagai serangan, serta kualitas yang baik dari citra yang disisipi watermark
APLIKASI GRAPH COLORING PADA PENJADWALAN PERKULIAHAN DI FAKULTAS SAINS DAN TEKNOLOGI UIN SUNAN AMPEL SURABAYA Devi Saidatuz Zaenab; Deasy Alfiah Adyanti; Aris Fanani; Nurissaidah Ulinnuha
Jurnal Matematika MANTIK Vol. 2 No. 1 (2016): Mathematics and Applied Mathematics
Publisher : Mathematics Department, Faculty of Science and Technology, UIN Sunan Ampel Surabaya

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Abstract

In the academic environment there are various problems, one of problem is scheduling of courses at the university level. These problems are affected by the allocation of time (Conformity of SKS with each course), the availability of classrooms, and many study program. In the study preparation lecture schedules in this time, the parameters used, among others: second semester students in each Study Program, Number of Study Program, availability of classrooms, Lectures, number of credits a day of each study program at the Faculty of Science and Technology. This research is aimed as an alternative in formulating scheduling system when the faculty there is an imbalance between the lecture hall, many Study Program, and the number of credits taken each Study Program. Based on the analysis of Graph Coloring and Edge Coloring at case of scheduling Study Program Faculty of Science and Technology State Islamic University Sunan Ampel Surabaya, which has 6 Programs and 5 lecture room with three simulated combinations of input data, obtained scheduling unchanged (consistent) and results scheduling does not overlap / collision, both in the lecture room, and the time of the lecture.
Prediction of Sea Surface Current Velocity and Direction Using LSTM Irkhana Indaka Zulfa; Dian Candra Rini Novitasari; Fajar Setiawan; Aris Fanani; Moh. Hafiyusholeh
IJEIS (Indonesian Journal of Electronics and Instrumentation Systems) Vol 11, No 1 (2021): April
Publisher : IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ijeis.63669

Abstract

 Labuan Bajo is considered to have an important role as a transportation route for traders and tourists. Therefore, it is necessary to have a further understanding of the condition of the waters in Labuan Bajo, one of them is sea currents. The purpose of this research is to predict sea surface flow velocity and direction using LSTM. There are many prediction methods, one of them is Long short-term memory (LSTM). The fundamental of LSTM is to process information from the previous memory by going through three gates, that is forget gate, input gate, and output gate so the output will be the input in the next process. Based on trials with several parameters namely Hidden Layer, Learning Rate, Batch Size, and Learning rate drop period, it achieved the smallest MAPE values of U and V components of 14.15% and 8.43% with 50 hidden layers, 32 Batch size and 150 Learn rate drop.  
Predicting Velocity and Direction of Ocean Surface Currents using Elman Recurrent Neural Network Method Eka Alifia Kusnanti; Dian C. Rini Novitasari; Fajar Setiawan; Aris Fanani; Mohammad Hafiyusholeh; Ghaluh Indah Permata Sari
Journal of Information Systems Engineering and Business Intelligence Vol. 8 No. 1 (2022): April
Publisher : Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/jisebi.8.1.21-30

Abstract

Background: Ocean surface currents need to be monitored to minimize accidents at ship crossings. One way to predict ocean currents—and estimate the danger level of the sea—is by finding out the currents’ velocity and their future direction. Objective: This study aims to predict the velocity and direction of ocean surface currents. Methods: This research uses the Elman recurrent neural network (ERNN). This study used 3,750 long-term data and 72 short-term data. Results: The evaluation with Mean Absolute Percentage Error (MAPE) achieved the best results in short-term predictions. The best MAPE of the U currents (east to west) was 14.0279% with five inputs; the first and second hidden layers were 50 and 100, and the learning rate was 0.3. While the best MAPE of the V currents (north to south) was 3.1253% with five inputs, the first and second hidden layers were 20 and 50, and the learning rate was 0.1. The ocean surface currents’ prediction indicates that the current state is from east to south with a magnitude of around 169,5773°-175,7127° resulting in a MAPE of 0.0668%. Conclusion: ERNN is more effective than single exponential smoothing and RBFNN in ocean current prediction studies because it produces a smaller error value. In addition, the ERNN method is good for short-term ocean surface currents but is not optimal for long-term current predictions. Keywords: MAPE, ERNN, ocean currents, ocean currents’ velocity, ocean currents’ directions
PENERAPAN FUZZY INFERENCE SYSTEM DALAM PENGOPTIMALAN SUHU RUANGAN PADA DOUBLE AIR CONDITIONER (AC) SECARA OTOMATIS Dian Candra Rini; Ahmad Zaenal Arifin; Aris Fanani; Ganeshar B.D. Prasanda; Wanda N.P. Sunaryo
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 (517.639 KB)

Abstract

Suhu pada luar ruangan serta suhu pada dalam ruangan dan banyaknya jumlah orang pada dalam ruangan sangatlah mempengaruhi keluaran suhu Air Conditioner (AC). Keluaran dari suhu AC terkadang terasa dingin, sejuk, normal, dan banyak lagi pada setiap kulit manusia. Keluaran suhu AC yang terbaik dapat ditentukan dengan menggunakan logika fuzzy, dari pengaruh suhu luar, suhu dalam dan jumlah orang pada ruangan. Dengan adanya temperatur terbaik yang dikeluarkan oleh AC dapat memberikan efek positif pada manusia dan juga dalam penghematan energi.
Optimasi Waktu Tunggu Lampu Lalu Lintas Dengan Menggunakan Graf Kompatibel Sebagai Upaya Mengurangi Kemacetan Aris Fanani
Systemic: Information System and Informatics Journal Vol. 2 No. 1 (2016): 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 (554.362 KB) | DOI: 10.29080/systemic.v2i1.107

Abstract

Kemacetan lalu lintas di beberapa kota sudah menjadi hal yang tak asing lagi, bahkan sampai persimpangan jalan. Kemacetan timbul dikarenakan beberapa hal, salah satunya adalah konflik pergerakan yang datang dari tiap arah. Tujuan dari pembuatan jurnal ini adalah untuk menentukan waktu tunggu yang optimal pada lampu lalu intas dengan menggunakan graf kompatibel. Dalam penelitian ini menggunakan data primer pada persimpangan frontage BRI-Dinas Perhubungan dan LLAJ - Jl. Ahmad Yani Surabaya dengan menggunakan variabel waktu. Berdasarkan penelitian yang dilakukan memberikan hasil bahwa (1) graf kompatibel pada persiampangan frontage BRI-Dinas Perhubungan dan LLAJ - Jl. Ahmad Yani Surabaya , (2) hasil yang didapat di lapangan adalah 150 deik, sedangkan dengan menggunakan graf kompatibel menghasilkan 120 detik. Dengan menggunakan graf kompatibel, penentuan waktu tunggu lebih optimal dari pengaturan yang sudah ada.
DETEKSI JARAK PANDANG AMAN SEBAGAI ACUAN UNTUK KESELAMATAN PENERBANGAN DENGAN MENGGUNAKAN METODE BACKPROPAGATION Moch Rizki Kurniawan Hakim; Aris Fanani
Jurnal RESISTOR (Rekayasa Sistem Komputer) Vol. 1 No. 2 (2018): Jurnal RESISTOR Edisi Oktober 2018
Publisher : LPPM STMIK STIKOM Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31598/jurnalresistor.v1i2.304

Abstract

Delay is a term used when the flight schedule late while depart or arrive. Delay causes due to bad weather, technical problems on the plane, uncompleted crew, and others. Delay is procedure to avoid unexpected condition for example is accidents. Bad weather is the the one of delay reason difficult to estimated or detected because relativity variable of each hour. Bad weather can be detected by the air visibility. According to the official standart of transportation the minimum distance of visibility is 5 kilometers. While distance less than for flight safety, can be categorized as danger. Therefore, the porpose of this research is to know early when the flight has to be delayed or not. Therefore to detect a weather condition can be use backpropagation method which can be identified through several factors such as wind speed, humidity, and temperature in the air. Based on this research using 720 data, obtained a high accuracy of 95.71%, recall of 97.81%, and precision of 94.98%. With learning rate of 0.1 and hidden layer as much as 100, which shows that the detection of visibility has a very good performance. Therefore the model can be used for the detection of the visibility of the safe.
SHOPPING LIFESTYLE DAN CUSTOMER VALUE TERHADAP IMPULSIVE BUYING PRODUK HIJAB SYAR’I ANGGOTA PENGAJIAN MUSLIMAH AZZAHRA Achmad Aditya Rochim; Abdul Muhid; Aris Fanani; Ika Mustika; Fauzan Setyarizqi Muharram
Indonesian Psychological Research Vol. 4 No. 2 (2022): IPR Juli 2022
Publisher : Program Studi Psikologi UIN Sunan Ampel Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29080/ipr.v4i2.582

Abstract

Riset ini memiliki urgensi dalam mengungkap korelasi antara shopping lifestyle dan customer value dengan impulsive buying produk hijab syar’i pada anggota Pengajian Bunda Muslimah Azzahra. Riset ini menerapkan penelitian kuantitatif korelasional dengan mengimplementasikan kuesioner berskala linkert sebagai teknik pengumpul data. Skala pada shopping lifestyle di dapatkan nilai realibilitas 0,801, pada skala customer value 0,852 & pada skala impulsive buying 0,825. Data di himpun dengan metode accidental sampling dengan sample 100 orang dari 3000 total populasi . Analisi data yang dipakai ialah regresi berganda dan didapati nilai (p = 0.000 & r = 0.490) yang berarti ada hubungan shopping lifestyle dengan impulsive buying pada anggota pengajian dan  (p=0.000 and r=0.343) yang berarti ada hubungan antara customer value dengan impulsive buying pada anggota pengajian, yang terakhir didapati nilai (p = 0.000 & F 15,597) yang berarti ada hubungan shopping lifestyle dan customer value dengan impulsive buying produk hijab syar’i pada Anggota Pengajian Bunda Muslimah Azzahra
Co-Authors Abdulloh Hamid Achmad Aditya Rochim Ahmad Hanif Asyhar Ahmad Zaenal Arifin Anang Kunaefi Arifin, Ahmad Zaenal Billy Montolalu Deasy Alfiah Adyanti Devi Saidatuz Zaenab Dian C. Rini Novitasari Dian C. Rini Novitasari Dian Yuliati Eka Alifia Kusnanti Fajar Setiawan Fajar Setiawan Farida, Yuniar Fatmah Fatmah Fauzan Setyarizqi Muharram Ganeshar B.D. Prasanda Ghaluh Indah Permata Sari Ika Mustika Irkhana Indaka Zulfa Latifatun Nadya Desinaini Lia Puspita Sari Lubab, Ahmad M Mahaputra Hidayat Mif'atul Mahmudah Moch Rizki Kurniawan Hakim Moh. Hafiyusholeh Mohammad Nasir Mohammad Nasir Montolalu, Billy Muhid , Abdul Putra Prima Putra Prima Arhandi, Putra Prima Putroue Keumala Intan Sari, Dian Candra Rini Novita Silvia Kartika Sari Ummiy Fauziah Laili Ummiy Fauziyah Laili Ummiy Fauziyah Laili Wanda N.P. Sunaryo Wika Dianita Utami Zainullah Zuhri