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All Journal Lontar Komputer: Jurnal Ilmiah Teknologi Informasi JURNAL SISTEM INFORMASI BISNIS Jurnal Ilmu Dasar BERKALA SAINSTEK CAUCHY: Jurnal Matematika Murni dan Aplikasi Prosiding Seminar Matematika dan Pendidikan Matematik POSITIF UNEJ e-Proceeding Fountain of Informatics Journal Sinkron : Jurnal dan Penelitian Teknik Informatika InComTech: Jurnal Telekomunikasi dan Komputer BAREKENG: Jurnal Ilmu Matematika dan Terapan JOURNAL OF APPLIED INFORMATICS AND COMPUTING J Statistika: Jurnal Ilmiah Teori dan Aplikasi Statistika Indonesian Journal of Applied Informatics Jurnal Saintika Unpam : Jurnal Sains dan Matematika Unpam Jurnal Ilmiah Matematika dan Pendidikan Matematika (JMP) Majalah Ilmiah Matematika dan Statistika (MIMS) Jurnal Eurekamatika Unnes Journal of Mathematics Journal of Computers and Digital Business

Ahmad Kamsyakawuni

Jurusan Matematika, FMIPA Universitas Jember

Author-ID : 295231

Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemistry 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 Transportation

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PENGAMANAN TEKS MENGGUNAKAN ALGORITMA TRANSPOSISI DAN MODIFIKASI SANDI MORSE Rizki Gangsar Septiono; Kiswara Agung Santoso; Ahmad Kamsyakawuni
UNEJ e-Proceeding 2022: E-Prosiding Seminar Nasional Matematika, Geometri, Statistika, dan Komputasi (SeNa-MaGeStiK)
Publisher : UPT Penerbitan Universitas Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar

Humans as social beings communicate to exchange information. Information has many forms including text data, sound, images, and so on. Not all information is freely accessible. Information security is needed to prevent information from being misused by irresponsible parties. Cryptography studies how to convert information into a form that is unknown except for the sender and recipient of the information. Cryptography is divided into two, classical cryptography and modern cryptography. One form of cryptography that can be found around us is the use of Morse code in scouting. Classical cryptography and modern cryptography can be combined to increase the security of the algorithms used in hiding information. In this article, the transposition algorithm is applied in binary digits. Keys in the form of ASCII characters are converted into binary using modified Morse code and operated with plaintext. The results showed that the combination of transposition algorithm and Morse code modification adds complexity so that the proposed algorithm is difficult for cryptanalysts to solve. Keywords: Cryptography, Morse Code, Transposition Algorithm.

PENERAPAN JARINGAN SARAF TIRUAN BACKPROPAGATION UNTUK MEMPREDIKSI INDEKS HARGA SAHAM LQ45 Febia Zein Aziza; Abduh Riski; Ahmad Kamsyakawuni
UNEJ e-Proceeding 2022: E-Prosiding Seminar Nasional Matematika, Geometri, Statistika, dan Komputasi (SeNa-MaGeStiK)
Publisher : UPT Penerbitan Universitas Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar

Stock price movements are very volatile from time to time. The stock price movement is influenced by many factors, including company performance, dividend risk, the country’s economic conditions, and inflation rate. The existence of these complex factors makes stock price movements challenging to predict. Investors need stock price predictions to see the company’s stock investment prospects in the next period. The method that can predict stock prices is Backpropagation. The Backpropagation method is an algorithm that adopts a human mindset systematically to minimize the error rate by adjusting the weights based on differences in output and the desired target. This study uses historical stock index data for LQ45 from February 26, 2019 – February 26, 2021, namely the closing price as an input and the opening price as the target. The best network model from the Backpropagation method uses a binary sigmoid activation function with nine neurons in the hidden layer. The testing accuracy value is 95.2481% (MAPE), and the error value is 0.000266 (MSE). The error value shows that the prediction model results are excellent. Keywords: Backpropagation, index, prediction, stock.

Pembangkitan Pohon Fraktal Bercabang Menggunakan Metode Iterated Function System Retno Wulandari; Kosala Dwidja Purnomo; Ahmad Kamsyakawuni
Jurnal EurekaMatika Vol 10, No 2 (2022): Jurnal Eurekamatika
Publisher : Universitas Pendidikan Indonesia (UPI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17509/jem.v10i2.51210

The Pythagorean tree is a flat fractal composed of squares. A Pythagorean tree with two branches developed into three components is called a fractal tree. In this article, the author generates a fractal tree that has been expanded to have n branches using the Iterated Function Systems (IFS) method. The fractal tree will be caused by the IFS method using affine transformations, namely dilation, translation, and rotation on a square as the initial geometric object. The generation of a fractal tree begins with determining the basic shape of the branching. The choice of the primary form of branching will affect the body and characteristics of the resulting fractal tree. There are two primary forms of branching to produce a fractal tree that has several variations in the selection of angles: the same angle, a different angle, and a random angle.Keywords: Affine Transformation, Fractal, Fractal Tree, Iterated Function System Method.AbstrakPohon Pythagoras adalah sebuah fraktal datar yang tersusun dari bujur sangkar. Pohon Pythagoras yang memiliki dua percabangan dikembangkan menjadi tiga percabangan disebut dengan istilah pohon fraktal. Pada artikel ini, penulis membangkitkan pohon fraktal yang dikembangkan jumlah cabangnya sampai sebanyak menggunakan metode Iterated Function Systems (IFS). Pohon fraktal dibangkitkan dengan metode IFS menggunakan transformasi affine yaitu dilatasi, translasi, dan rotasi pada persegi sebagai objek geometri awal. Pembangkitan pohon fraktal dimulai dengan menentukan bentuk dasar percabangan. Pemilihan bentuk dasar percabangan akan berpengaruh pada bentuk dan karakteristik dari pohon fraktal yang dihasilkan. Ada dua macam bentuk dasar percabangan sehingga dapat menghasilkan pohon fraktal yang memiliki beberapa variasi pemilihan sudut yakni sudut sama, sudut berbeda, dan sudut random.

Peramalan Curah Hujan Harian Kabupaten Jember Dengan Jaringan Saraf Tiruan Dan General Circulation Model Abduh riski; Ahmad Kamsyakawuni; Cahya Ramadhani Azhar
J STATISTIKA: Jurnal Imiah Teori dan Aplikasi Statistika Vol 16 No 1 (2023): Jurnal Ilmiah Teori dan Aplikasi Statistika
Publisher : Faculty of Science and Technology, Univ. PGRI Adi Buana Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36456/jstat.vol16.no1.a7862

Curah hujan memiliki peran penting di beberapa bidang seperti pertanian dan pengairan. Oleh sebab itu diperlukan model peramalan untuk mengetahui curah hujan di masa yang akan datang. Model peramalan dapat dibentuk menggunakan jaringan saraf tiruan (JST) backpropagation. Hasil akurasi peramalan JST diukur dengan MAE, korelasi dan RMSE. Data lokal sebagai data target model merupakan data rataan curah hujan harian dari 73 stasiun di wilayah kabupaten Jember mulai dari Oktober 2019 hingga Desember 2020. Data global sebagai data input model menggunakan data Global Circulation Model (GCM) model CSIRO-MK3-6-0 dengan eksperimen RCP 2.6. Data GCM direduksi menggunakan principal component analysis (PCA) guna menghindari multikolinieritas pada data. Penelitian ini mengkombinasikan jumlah neuron sebesar 10 hingga 100 neuron dan dua fungsi aktivasi pada model JST. Berdasarkan hasil penelitian, model terbaik yang digunakan untuk peramalan adalah model JST dengan 100 neuron dan fungsi aktivasi biner dengan MAE sebesar 6,1205, korelasi sebesar -0,0125, dan RMSE sebesar 9,0251. hasil peramalan curah hujan harian kabupaten Jember untuk bulan Januari 2021 adalah terjadi curah hujan tertinggi pada hari ke-19 sebesar 10,0471 mm/hari dan curah hujan terendah terdapat pada hari ke-2 sebesar 1,3106 mm/hari.

Penerapan Adaptive Neuro Fuzzy Infrence System (ANFIS) dalam Prediksi Produksi Tembakau di Jember Azimatul Matsniya; Abduh Riski; Ahmad Kamsyakawuni
InComTech : Jurnal Telekomunikasi dan Komputer Vol 13, No 1 (2023)
Publisher : Department of Electrical Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/incomtech.v13i1.15655

Tembakau merupakan salah satu komoditas perkebunan di Indonesia. Kabupaten Jember merupakan penghasil tembakau kualitas dunia terbesar di Jawa Timur. Produksi tembakau di Kabupaten Jember mengalami fluktuasi setiap tahunnya sehingga perlu dilakukan prediksi produksi tembakau dengan menggunakan ANFIS (Adaptive Neuro Fuzzy Inference System). Penelitian ini bertujuan untuk memprediksi produksi tembakau di Kabupaten Jember. Data yang digunakan dalam penelitian ini adalah curah hujan, luas lahan panen tembakau, produktivitas tembakau, dan produksi tembakau di Kabupaten Jember. Jaringan ANFIS yang dibuat terdiri dari tiga variabel input dan satu variabel output. Fungsi keanggotaan yang digunakan adalah generalized bell dan gaussian dengan total fungsi keanggotaan sebesar tiga buah. Jenis output dibagi menjadi dua, yaitu linier dan konstan. Hasil penelitian menunjukkan bahwa model terbaik adalah menggunakan fungsi keanggotaan generalized bell tipe output konstan dengan nilai MAPE pada proses pelatihan dan pengujian berturut-turut adalah 0,00015% dan 0,091%. Hasil prediksi produksi tembakau pada tahun 2021 adalah 199.603,71 kuintal. Variabel yang paling berpengaruh untuk produksi tembakau adalah curah hujan dan produktivitas tembakau.

PENYEMBUNYIAN CIPHERTEXT ALGORITMA GOST PADA CITRA KE DALAM AUDIO DENGAN METODE LEAST SIGNIFICANT BIT Abduh Riski; Heri Purwantoro; Ahmad Kamsyakawuni
Jurnal Ilmiah Matematika dan Pendidikan Matematika (JMP) Vol 10 No 2 (2018): Jurnal Ilmiah Matematika dan Pendidikan Matematika (JMP)
Publisher : Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20884/1.jmp.2018.10.2.2844

Government Standard (GOST) is a 64-bit block cipher algorithm with 32 round, use a 256-bit key. The weakness of this algorithm is the keys so simple, than make cryptanalyst easy to break this algorithm. Least Significant Bit (LSB) use to insert message into another form without changing the form of the cover after insertion. This research does by hiding encrypted ciphertext to image and hiding image into audio. This research use grayscale and RBG image with BMP and PNG format. Audio using music with wav format. Security analysis using differential analysis NPCR and UACI. Security analysis aims to calculate percentage from cover after hiding the message. The smaller the NPCR and UACI values, the higher the level of security the message is hidden. The results of the analysis of concealment in the image obtained by the average values of NPCR and UACI were 99.98% and 3.46% respectively. While the results of the analysis of hiding in audio obtained the average value of NPCR and UACI were 83.78% and 12.66% respectively.

PENGAMANAN CITRA DENGAN ALGORITMA DIFFIE-HELLMAN DAN ALGORITMA SIMPLIFIED DATA ENCRYPTION STANDARD (S-DES) ahmad Kamsyakawuni; Ahmad Husnan Fanani; abduh Riski
Jurnal Ilmiah Matematika dan Pendidikan Matematika (JMP) Vol 10 No 2 (2018): Jurnal Ilmiah Matematika dan Pendidikan Matematika (JMP)
Publisher : Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20884/1.jmp.2018.10.2.2846

Simplified Data Encryption Standard (S-DES) is a cryptographic algorithm whose data-disguise process is simple and fast enough compared to other algorithms. Because of its simplicity, the S-DES algorithm is vulnerable to statistical attacks when applied to imagery, so this study tries to minimize S-DES weaknesses in image data by modifying S-DES keys with Diffie-Hellman. Diffie-Hellman is one of the key generating algorithms and key exchange. This research uses image data that is RGB image and grayscale image. A modified S-DES key with Diffie-Hellman is then used to encrypt the image. This study also analyzed the security level of S-DES algorithm that the key has been modified with Diffie-Hellman.

APLIKASI LOGIKA FUZZY MENGGUNAKAN METODE MAMDANI DALAM OPTIMASI PERENCANAAN PRODUKSI AYAM GEPREK : (Studi kasus di Warung Serbu, Jember) Abduh Riski; Lilian Atino Eyta Makin; Ahmad Kamsyakawuni
POSITIF : Jurnal Sistem dan Teknologi Informasi Vol 9 No 2 (2023): Positif : Jurnal Sistem dan Teknologi Informasi
Publisher : P3M Politeknik Negeri Banjarmasin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31961/positif.v9i2.1962

MSMEs have a very large role in the development of the Indonesian economy. MSMEs in the food sector are the largest sectors compared with other MSME sectors. Warung Serbu is one of the SMEs in the food sector, one of which is geprek chicken. Warung Serbu often makes production decisions that are not always right (optimal) for each period. Product stockpiling often causes losses, but companies often experience product shortages to meet customer demand. The Mamdani method can be used to determine decisions based on this problem. This method is based on fuzzy logic. The process of making decisions through the fuzzy logic of the Mamdani method consists of several stages: fuzzification, rule formation, fuzzy logic analysis (rule implications and composition), and defuzzification. A GUI program was used in the Matlab software to simplify the display. Based on June-September 2022 data, a MAPE percentage of 7.4% was obtained, while the company's MAPE value for the desired (optimal) production was 11.09%. The prediction for the number of geprek chickens in the June 7, 2022, period was 132 portions, with a total production cost of Rp. 824000,-;

Application of the Concept Circle in the Software GUI Matlab Ratnawati, Sri; Kusno, Kusno; Kamsyakawuni, Ahmad
Jurnal ILMU DASAR Vol 18 No 1 (2017)
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Jember

Mathematics as a basic science has objects that are abstract, mathematical aimed at understanding the concept by providing the ability to reason logically, systematically, critical, careful and creative so that if the mathematics are taught using the book will be hard to accept students. Junior high school students in general are still difficulties in learning mathematics in particular on the material loop. Therefore, it needs the development of more interactive learning media and can help students in the learning process, one of them with the help of Software Graphic User Interface (GUI) Matlab. The concept of a circle is presented in the form of Software GUI Matlab so that students can use to understand the concepts of geometry with ease and be more independent, and help teachers to explain the concept of the circle in the learning process. The application of the concept of the circle in Matlab GUI Software is done by constructing a circle 1. Concept definition, 2. Elements of the circle, 3. The corners of the circle, 4. Relationships angle at the center of the circle and the angle of the circle, and 5. Nature tangent to the circle . Data construction concept of one to five are arranged in Matlab GUI program to produce instructional media in the form of software.

Saxena-Easo Fuzzy Time Series on Indonesia’s Inflation Rate Forecasting Ramadhani, Lutvia Citra; Anggraeni, Dian; Kamsyakawuni, Ahmad
Jurnal ILMU DASAR Vol 20 No 1 (2019)
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Jember

Saxena-Easo Fuzzy Time Series (FTS) is a softcomputing method for forecasting using fuzzy concept. It doesn’t need any assumption like conventional forecasting method. Generally it’s focused on three important steps like percentage change as the universe of discourse, interval partition, and defuzzification. In this research, this method is applied to Indonesia’s inflation rate data. The aim of this research is to forecast Indonesia’s inflation rate in 2017 by using input from Autoregressive Integrated Moving Average (ARIMA) process, Saxena-Easo FTS, and actual data from 1970-2016. ARIMA is focused on four steps like identifying, parameter estimation, diagnostic checking, and forecasting. The result for Indonesia’s inflation rate forecasting in 2017 is about 5.9182 using Saxena-Easo FTS. Root Mean Square Error (RMSE) is also computed to compare the accuracy rate from each method between Saxena-Easo FTS and ARIMA. RMSE from Saxena-Easo FTS is about 0.9743 while ARIMA is about 6.3046. Keywords: saxena-easo fuzzy time series, ARIMA, inflation rate, RMSE.

Co-Authors Abduh Riski Abduh Riski Abduh Riski, Abduh Abdullah, Rinaldy Ahmad Adhitiyah Redaya Kusuma Bhakti Agustina Pradjaningsih Ahmad Husnan Fanani Ahmad Khoirul Umam Ahmad Saiful Rizal Anggoro, Vani Krismo Ari Susiana Arif, M. Ziaul Asti, Melinda Astuti, Lestari Fidi Azimatul Matsniya Cahya Ramadhani Azhar Dian Anggraeni Eko Adi Sarwoko Fakih, Muhammad Fahmil Farida, Yasmin Febia Zein Aziza Firdaus Ubaidillah, Firdaus Fismaya, Florencia Wahyu Ganda Gusti, Dwi Rahmasari Kinasih Haqqi, Wakhidatun Nafi’u Heri Purwantoro Hermanto Hermanto Hidayah, Annisa Yuniar Ikhsanul Halikin, Ikhsanul Innafajri Insyirah Juliyanto, Bagus Kaesardi, Dinda Septika Khumairoh, Anisa Binti Khurnia Palupi Kiswara Agung Santoso Kosala Dwidja Purnomo Kusno Kusno Lestari, Vidiyanti Lilian Atino Eyta Makin M Ziaul Arif, M Ziaul M. Ziaul Arif Maulana, Mohammad Iqbal Maulana, Muhammad Iqbal Nadzira, Annisa Ayu Nanang Suparyono, Nanang Rachmad Gernowo Rahayu, Rivi Tri Ramadhani, Lutvia Citra Regita, Yulia Dewi Retno Wulandari Rizki Gangsar Septiono Santoso, Ahmad Rico Seggaf, Muhammad Shofia Nabila Azzahra Sholihah, Walidatush Siti Virna Rohmatul Izza Sri Ratnawati Sukmawati, Rika Ayu Tri Hartati, Tri Wulandari, Eka Yuni Zainul Anwar

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