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All Journal Techno.Com: Jurnal Teknologi Informasi TELKOMNIKA (Telecommunication Computing Electronics and Control) Jambura Journal of Mathematics Jambura Geoscience Review SALINGKA Milang Journal of Mathematics and Its Applications
Fahren Bukhari
Department Of Mathematics, Faculty Of Science And Mathematics, IPB University, Jl. Meranti, Kampus IPB Dramaga, Bogor 16680
Agriculture, Biological Sciences & Forestry Computer Science & IT Control & Systems Engineering Earth & Planetary Sciences Engineering Mathematics

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Bloom Filter Implementation in Cache with Low Level of False Positive Andri Hidayat; Fahren Bukhari; Heru Sukoco
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 15, No 4: December 2017
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v15i4.4447

Abstract

Searching techniques significantly determine the speed of getting the information or objects. Finding an object in a set is related to membership checking. In the case of massive data, it needs an appropriate technique to search an object accurately and faster. This research implements searching methods, namely Bloom Filter and Sequential Search algorithms, to find objects in a set of data. It aims to improve our system getting a proper item. Due to the possibility of False-Positive existence as a result of Bloom filter technique, there is a potentially inaccurate representation to object sought. Some parameters are influencing False-Positive, namely the number of objects, available bits, and the number of mapped-bit. A Combination of those parameters could decrease the level of False-Positive and improve their accuracy and faster accessibility. In this research, we use three data object variations with the biggest object size of  2000000. Cached objects used in our experiments is between 2 – 20% of variation from the generated objects. The best results with the lowest False-Positive is a combination of bit = 8, mapped bit = 7, and 6% of cache size from 2000000 generated objects.
Influences of Buffer Size and Eb/No on Very Small Aperture Terminal (VSAT) Communictions Debby Maureen Talumewo; Heru Sukoco; Fahren Bukhari
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 15, No 4: December 2017
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v15i4.5788

Abstract

In data communication of the signal transmitted from the transmitter (Tx) to receiver (Rx) stations is very influential. Buffer and Eb/No are two parameters that influence the quality of signal. This research measures those parameters and the relationship among them. This research employs data collected on the Link STM-1 side in Makassar and Timika operated by PT. Telkom Metra Bogor. The period of data is carried out for 56 days taken by using Simple Management Network Protocol (SNMP). To analyze the relationship among those two parameters, we use product moment correlation (PMC) method. The result correlation of the data buffer and Eb/No with a level of real is 0.05 and then buffer set in modem CDM 700 is 50% with threshold Eb/No 12.1 dB and the modulations used 64-QAM. That resulted correlation of side in Makassar is 0.648 and the p-value is 0.000. Correlation of side in Timika is 0.722 and the p-value is 0.000. These results suggest that the two parameters are correlated strong and significant. 
Heterogeneous Correlation Map Between Estimated ENSO And IOD From ERA5 And Hotspot In Indonesia Sri Nurdiati; Fahren Bukhari; Muhammad Tito Julianto; Mohamad Khoirun Najib; Nuzhatun Nazria
Jambura Geoscience Review Vol 3, No 2 (2021): Jambura Geoscience Review (JGEOSREV)
Publisher : Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34312/jgeosrev.v3i2.10443

Abstract

El Nino-Southern Oscillation (ENSO) and Indian Ocean Dipole (IOD) can reduce the amount of rainfall in Indonesia. The previous study found that ENSO and IOD derived from the OISST dataset have an association with hotspots in Indonesia, especially in southern Sumatra dan Kalimantan. But the correlation results are still too small, and the correlation strength between regions has not been analyzed. Therefore, this study quantifies the association of the estimated ENSO and IOD derived from the ERA5 dataset on hotspots in Indonesia based on a Heterogeneous Correlation Map (HCM) and analyzes the correlation strength between regions in Indonesia. We use a singular value decomposition method to quantify this HCM. Besides OISST, ERA5 is an estimation data often used for weather forecast analysis. Therefore, this study quantifies the association of the estimated ENSO and IOD derived from the ERA5 dataset on hotspots in Indonesia based on a Heterogeneous Correlation Map (HCM) and analyzes the correlation strength between regions in Indonesia. Based on variance explained and correlation strength, the hotspot in Indonesia is more sensitive to ENSO and IOD derived from ERA5 than OISST. Consequently, the ERA5 data more useful to statistical analysis that requiring a substantial correlation.
KONSTRUKSI ATURAN PENGGABUNGAN DUA GRAF KALIMAT Ayu Amanah; Sri Nurdiati; Fahren Bukhari
Salingka Vol 11, No 01 (2014): SALINGKA, EDISI JUNI 2014
Publisher : Balai Bahasa Sumatra Barat

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (60.818 KB) | DOI: 10.26499/salingka.v11i01.2

Abstract

Knowledge Graph merupakan hal baru yang berguna untuk menggambarkan bahasa manusia yang lebih berpusat pada aspek semantik daripada aspek sintetik. Representasi makna teks berbahasa Indonesia ke dalam bentuk graf dapat dilakukan dengan menggunakan Knowledge Graph. Representasi tersebut bertujuan mengurangi ambiguitas. Representasi makna teks diperoleh melalui beberapa penelitian. Penelitian representasi makna kata, makna frasa, dan makna klausa telah dilakukan sehingga penelitian ini bertujuan mengkaji representasi makna kalimat ke dalam graf kalimat dan menggabungkan dua graf kalimat. Hasil penelitian ini berupa aturan pembentukan graf kalimat dan aturan penggabungan dua graf kalimat. Kedua aturan tersebut dikonstruksi agar setiap orang memiliki representasi kalimat dan penggabungan dua graf kalimat yang sama
Formulation of Sudoku Puzzle Using Binary Integer Linear Programming and Its Implementation in Julia, Python, and Minizinc Fahren Bukhari; Sri Nurdiati; Mohamad Khoirun Najib; Nandika Safiqri
Jambura Journal of Mathematics Vol 4, No 2: July 2022
Publisher : Department of Mathematics, Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1314.33 KB) | DOI: 10.34312/jjom.v4i2.14194

Abstract

Sudoku is a number puzzle game popular among people with various difficulty levels (easy, medium, hard, and extremely hard). Sudoku can be modeled as a linear programming problem in mathematics, particularly binary integer linear programming (BILP). Completing Sudoku using BILP is quite tricky because it requires many iterations. Therefore, this study aims to analyze the Sudoku problem using the BILP formulation and implement the problem using Julia, Python, and MiniZinc. Out of 15 cases for each difficulty level, Julia performs better than Python and MiniZinc based on computation time. Moreover, Sudoku with easy difficulty levels is solved with a longer computation time than the other three difficulty levels. The computation time for solving BILP is getting faster as the difficulty level of the Sudoku problem increases. This is because Sudoku problems with easy difficulty levels have more known values as clues and generate more constraints than other difficulty levels.
Perbandingan AlexNet dan VGG untuk Pengenalan Ekspresi Wajah pada Dataset Kelas Komputasi Lanjut Sri Nurdiati; Mohamad Khoirun Najib; Fahren Bukhari; Muhammad Reza Ardhana; Salsabilla Rahmah; Trianty Putri Blante
Techno.Com Vol 21, No 3 (2022): Agustus 2022
Publisher : LPPM Universitas Dian Nuswantoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33633/tc.v21i3.6373

Abstract

Pengenalan emosi memainkan peran penting dalam komunikasi yang dapat dikenali dari ekspresi wajah. Terdapat banyak metode yang dapat digunakan untuk mengenali ekspresi wajah secara automatis, seperti convolutional neural network (CNN). Penelitian ini bertujuan untuk mengimplementasikan dan membandingkan model CNN dengan arsitektur AlexNet dan VGG untuk pengenalan ekspresi wajah menggunakan bahasa pemrograman Julia. Model CNN akan digunakan untuk mengklasifikasikan tiga ekspresi yang berbeda dari tujuh orang pengekspresi. Data diproses dengan beberapa teknik augmentasi data untuk mengatasi masalah keterbatasan data. Hasil penelitian menunjukkan bahwa ketiga arsitektur dapat mengklasifikasikan ekspresi wajah dengan sangat baik, yang ditunjukkan oleh nilai rata-rata akurasi pada data training dan testing yang lebih dari 94%. Untuk memenuhi nilai cross-entropy sebesar 0.1, arsitektur VGG-11 memerlukan jumlah epoch yang paling sedikit dibandingkan arsitektur lainnya, sedangkan arsitektur AlexNet memerlukan waktu komputasi yang paling sedikit. Waktu komputasi pada proses pelatihan sebanding dengan jumlah parameter yang terkandung pada model CNN. Akan tetapi, jumlah epoch yang sedikit belum tentu membutuhkan waktu komputasi yang sedikit. Selain itu, nilai recall, presisi, dan F1-score untuk masalah klasifikasi multi-class menunjukkan hasil yang baik, yaitu lebih dari 94%.
IMPLEMENTASI PENYELESAIAN PERSAMAAN BURGERS DENGAN METODE BEDA HINGGA DALAM BAHASA PEMROGRAMAN JULIA Fahren Bukhari; Sri Nurdiati; Mochamad Tito Julianto; Mohamad Khoirun Najib; Ruben Harry Valentdio
MILANG Journal of Mathematics and Its Applications Vol. 19 No. 1 (2023): MILANG Journal of Mathematics and Its Applications
Publisher : Dept. of Mathematics, IPB University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/milang.19.1.1-9

Abstract

Burgers equation is a partial differential equation used to modelling several events related to fluids. Burgers equation was firstly introduced by Harry Bateman in 1915 and later studied by Johannes Martinus Burgers in 1948. This study discusses solving Burgers equations with finite difference method. In this study, several parameters have been known for the Burgers equation and several cases of partitions are used in finite difference method. The result shows that the more partitions used, the numerical result obtained will be closer to the exact values. In this study, calculations are numerically carried out with the help of Julia programming language.
PENERAPAN MODEL SEIRU PADA KASUS COVID-19 DI JAKARTA Septia Rahma Dilla; Fahren Bukhari; Mochamad Tito Julianto; Ali Kusnanto
MILANG Journal of Mathematics and Its Applications Vol. 19 No. 2 (2023): MILANG Journal of Mathematics and Its Applications
Publisher : Dept. of Mathematics, IPB University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/milang.19.2.81-95

Abstract

Sejak awal penyebaran COVID-19, telah diambil langkah-langkah pembatasan aktivitas publik untuk meredakan laju penularan, termasuk di Provinsi DKI Jakarta yang menerapkan Pembatasan Sosial Berskala Besar (PSBB). Dalam upaya menganalisis dampak kebijakan tersebut, digunakan model epidemiologi SEIRU, yang mempertimbangkan periode laten dan efek pembatasan aktivitas publik. Penelitian ini mengimplementasikan model SEIRU pada kasus COVID-19 di Jakarta, mengevaluasi parameter yang paling sesuai untuk merepresentasikan dinamika kasus, serta mengidentifikasi dampak dari penerapan PSBB terhadap kesesuaian model. Bahasa pemrograman Julia digunakan untuk mengimplementasikannya. Dari penelitian ini ditunjukkan bahwa model SEIRU cocok untuk menggambarkan perkembangan kasus COVID-19 hingga berakhirnya PSBB pertama, tetapi kurang sesuai untuk masa perpanjangan PSBB. Analisis juga mengindikasikan bahwa penerapan PSBB dapat mengurangi jumlah kasus terlapor hingga 41%, dengan rata-rata waktu individu yang terinfeksi namun tidak menunjukkan gejala adalah 7 hari, dan durasi rata-rata periode laten adalah 6 jam.
Co-Authors Ali Kusnanto Andri Hidayat Ayu Amanah Debby Maureen Talumewo Heru Sukoco Mochamad Tito Julianto Muhammad Reza Ardhana Muhammad Tito Julianto Najib, Mohamad Khoirun Nandika Safiqri Nuzhatun Nazria Ruben Harry Valentdio Salsabilla Rahmah Septia Rahma Dilla Sri Nurdiati Trianty Putri Blante