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All Journal Seminar Nasional Aplikasi Teknologi Informasi (SNATI) TELKOMNIKA (Telecommunication Computing Electronics and Control) International Journal of Advances in Intelligent Informatics Indonesian Journal of Artificial Intelligence and Data Mining Jurnal Teknologi Dirgantara Jurnal Filsafat Indonesia Indonesian Journal of Aerospace
Emir Mauludi Husni
Institut Teknologi Bandung
Aerospace Engineering Astronomy Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Education Mechanical Engineering Physics

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The Strategies for Quorum Satisfaction in Host-to-Host Meeting Scheduling Negotiation Rani Megasari; Kuspriyanto Kuspriyanto; Emir Mauludi Husni; Dwi Hendratmo Widyantoro
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 14, No 4: December 2016
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v14i4.4521

Abstract

This paper proposes two strategies for handling conflict schedule of two meetings which invite the same member of personnel at the same time through host-to-host negotiation scheme. The strategy is to let the member attend the other meeting under the condition that the group decision regarding the schedule is not changed and meeting quorum is fulfilled, namely release strategy. Other strategy is to substitute the absent personnel in order to keep the number of attendees above the quorum, namely substitute strategy. This paper adapts a mechanism design approach, namely Clarke Tax Mechanism, to satisfy incentive compatibility and individual rationality principal in meeting scheduling. By using a release strategy and substitute strategy, colliding meetings can still be held according to the schedule without the need for rescheduling. This paper shows the simulation result of using the strategies within some scenarios. It demonstrates that the number of meeting failures can be reduced with negotiation.        
Kategorisasi Pengguna Internet di Kalangan Pelajar SD dan SMP Menggunakan Metode Twostep Cluster Emir Mauludi Husni; Agus Fatulloh
Seminar Nasional Aplikasi Teknologi Informasi (SNATI) 2016
Publisher : Jurusan Teknik Informatika, Fakultas Teknologi Industri, Universitas Islam Indonesia

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

Abstract

Penggunaan internet di kalangan anak-anak dan remaja sudah menjadi tren, sehingga jika tidak hati-hati dalam menyikapi dan menggunakannya dapat menimbulkan dampak negatif bagi mereka. Kurangnya kontrol ketika ber-internet, maraknya kasus bullying, mengakses situs-situs yang tidak sesuai  adalah beberapa contoh negatif yang dapat saja menimpa mereka. Penelitian ini ingin melihat karakteristik pengguna internet serta seberapa besar dampak negatif yang terjadi di kalangan anak-anak dan remaja khususnya para siswa-siswi SD dan SMP di  kota Bandung. Model penelitian yang dilakukan adalah dengan melakukan survei ke beberapa sekolah SD dan SMP yang ada di kota Bandung. Metoda penentuan sampel menggunakan metoda multistage random sampling dan untuk analisis data menggunakan distribusi frekuensi, chi-square, uji-t, dan metoda twostep cluster. Hasil dari penelitian ini terdapat enam kelompok karakteristik pengguna internet sesuai dengan kecenderungan karakteristik dominannya dengan tingkat kepercayaan 95% dan pengembangan lebih lanjutnya dapat menghasilkan sebuah panduan ber-internet aman bagi anak-anak dan remaja.
Towards host-to-host meeting scheduling negotiation Rani Megasari; Kuspriyanto Kuspriyanto; Emir Mauludi Husni; Dwi Hendratmo Widyantoro
International Journal of Advances in Intelligent Informatics Vol 1, No 1 (2015): March 2015
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26555/ijain.v1i1.6

Abstract

This paper presents a different scheme of meeting scheduling negotiation among a large number of personnel in a heterogeneous community. This scheme, named Host-to-Host Negotiation, attempts to produce a stable schedule under uncertain personnel preferences. By collecting information from hosts’ inter organizational meeting, this study intends to guarantee personnel availability. As a consequence, personnel’s and meeting’s profile in this scheme are stored in a centralized manner. This study considers personnel preferences by adapting the Clarke Tax Mechanism, which is categorized as a non manipulated mechanism design. Finally, this paper introduces negotiation strategies based on the conflict handling mode. A host-to-host scheme can give notification if any conflict exist and lead to negotiation process with acceptable disclosed information. Nevertheless, a complete negotiation process will be more elaborated in the future works.
ALGORITMA PERINGATAN DINI PENCURIAN IKAN PADA DATA AUTOMATIC IDENTIFICATION SYSTEM (AIS) BERBASIS TERESTRIAL DAN SATELIT (ILLEGAL FISHING EARLY WARNING ALGORITHM FOR TERESTRIAL AND SATELLITE-BASED AUTOMATIC IDENTIFICATION SYSTEM (AIS) DATA) Emir Mauludi Husni; Muhammad Riksa Andanawari R. S; Robertus Heru Triharjanto
Jurnal Teknologi Dirgantara Vol. 14 No. 2 Desember 2016
Publisher : National Institute of Aeronautics and Space - LAPAN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/j.jtd.2016.v14.a2385

Abstract

Illegal fishing has created heavy financial losses for Indonesia, meanwhile, the large Indonesian water territory made it very difficult to detect such activities. The international regulation that obligates all ships above 300 GT to transmit data using AIS provide opportunity to detect ships conducting illegal fishing. The capability of Indonesia to detect AIS signals from LAPAN-A2/Orari satellite enhances such opportunity. The objective of the research is to develop part of the illegal fishing early warning system, based on AIS data received by terrestrial and satellite sensors. The detection is done by analyzing the course of the ships. Types of illegal fishing activities to be detected are trans-shipment, trawl usage, fishing zone violation, reporting avoidance, and AIS is switching off. The algorithm used is Ray Casting method to determine whether a ship is in its designated zone. The improvement of performance of the algorithm is done by multithreading on the used Phyton code. The algorithm is tested using AIS data from LAPAN-A2 and simulated AIS data.  The results show that the algorithm designed for the analysis of illegal fishing early warning system using AIS data is successfully in detecting six types of offenses in accordance with the Ministry of Marine Affairs and Fisheries Republic of Indonesia mentioned above by using simulation data. Abstrak Pencurian ikan merupakan kegiatan yang menyebabkan kerugian sangat besar untuk Indonesia, sementara wilayah perairan Indonesia yang luas membuat kegiatan pengawasan pencurian ikan tersebut menjadi sulit dilakukan. Peraturan internasional yang mewajibkan setiap kapal di atas 300 GT untuk mengirimkan data menggunakan AIS menjadi kesempatan untuk mendeteksi kapal-kapal yang melakukan pencurian ikan. Kemampuan Indonesia untuk mendeteksi sinyal AIS dari satelit LAPAN-A2/Orari memperbesar kesempatan tersebut. Penelitian ini bertujuan membangun bagian dari sistem peringatan dini aktivitas pencurian ikan, berdasarkan data AIS yang diterima oleh sensor di garis pantai dan di satelit. Proses pendeteksian dilakukan dengan menganalisa data perjalanan dari sistem AIS. Jenis-jenis pencurian ikan yang dapat dideteksi oleh algoritma ini adalah trans-shipment, penggunaan pukat harimau, pelanggaran zona teritorial, pelanggaran tidak melapor, pelanggaran wilayah penangkapan, dan pelanggaran tidak mengaktifkan pemancar sinyal AIS. Algoritma yang digunakan adalah metode Ray Casting, untuk menentukan suatu kapal berada dalam satu wilayah atau tidak. Perbaikan performa algoritma ini dilakukan dengan melakukan proses multithreading menggunakan kode Python. Algoritma diuji dengan data AIS dari LAPAN-A2/Orari dan data simulasi. Hasil menunjukkan bahwa algoritma yang dirancang untuk sistem analisis peringatan dini pencurian ikan (illegal fishing) dengan data AIS berhasil mendeteksi 6 jenis pelanggaran sesuai ketentuan Kementerian Kelautan dan Perikanan (KKP) Republik Indonesia yang telah disebutkan di atas dengan menggunakan data simulasi.
Studying How Machine Learning Maps Mangroves in Moderate-Resolution Satellite Images Agus Ambarwari; Emir Mauludi Husni
Indonesian Journal of Artificial Intelligence and Data Mining Vol 6, No 2 (2023): September 2023
Publisher : Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/ijaidm.v6i2.25263

Abstract

Intertidal mangrove forests are ecosystems that are extremely productive offering diverse socio-economic advantages. Preserving and appropriately using these ecosystems is crucial. However, safeguarding and restoring mangroves present challenges due to their extensive and hard-to-reach areas. Leveraging remote sensing technology and diverse image classification methods has shown promise in accurately mapping and monitoring mangroves. This study reviews the use of machine learning methods in mapping and monitoring mangroves, particularly using moderate-resolution multispectral satellite images. The literature study was conducted by systematically searching and analyzing articles published in Scopus-indexed journals from 2018 and 2023. The primary goals are to uncover methodologies for mapping mangroves with moderate-resolution imagery, identify advancements in machine learning algorithms, and assist researchers in staying updated in this field. The findings reveal that various machine-learning algorithms can be employed to map mangroves. Mangrove mapping with machine learning typically involves stages such as inputting multispectral images, image preprocessing, image classification, and assessing accuracy. Among the techniques, in the case of remote sensing data, ensemble tree-based approaches such as random forest outperform single classifiers. Potential and emerging issues for future research encompass automating the generation of training datasets for specific land cover classification, developing methods to transfer the classification model to different study areas, and making use of cloud-based technologies for processing remote sensing data.
Perkembangan Paradigma Metode Klasifikasi Citra Penginderaan Jauh dalam Perspektif Revolusi Sains Thomas Kuhn Ambarwari, Agus; Husni, Emir Mauludi; Mahayana, Dimitri
Jurnal Filsafat Indonesia Vol. 6 No. 3 (2023)
Publisher : Undiksha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23887/jfi.v6i3.53865

Abstract

The rapid improvement of remote sensing technology has given rise to three paradigms of remote sensing image classification methods, namely pixel-based, object-based, and scene-based. This article aims to explain or reveal the development of remote sensing image classification methods and their relationship with Thomas Kuhn's scientific revolution process (pre-paradigm, normal science, anomaly, crisis, and scientific revolution) that occurs in the development of these classification methods. The preparation of this article uses a descriptive qualitative method. Reference sources are journal articles collected from the Scopus database with topics related to classification and remote sensing. Other reference sources are data extracted from review articles. From all the references collected, a literature study is then carried out by analyzing the article's title, abstract, and overall content. After that, the stages of the scientific revolution related to the development of classification methods in remote sensing images were described. Based on the review of the articles, it can be explained that the development of classification methods for remote sensing imagery began in the 1970s when the Landsat satellite was first launched. In this early period, the classification method used was based on pixels or sub-pixels, because the spatial resolution of remote sensing imagery was shallow. As remote sensing technology developed, in the 2000s a new approach was discovered that was more efficient than the pixel-based approach for classifying high-resolution imagery, namely object-based classification methods. Then, with the release of the land use dataset (UC-Merced) in the 2010s, scene-based remote sensing image interpretation began to be used, as pixel- and object-based methods were insufficient to classify correctly.
ALGORITMA PERINGATAN DINI PENCURIAN IKAN PADA DATA AUTOMATIC IDENTIFICATION SYSTEM (AIS) BERBASIS TERESTRIAL DAN SATELIT (ILLEGAL FISHING EARLY WARNING ALGORITHM FOR TERESTRIAL AND SATELLITE-BASED AUTOMATIC IDENTIFICATION SYSTEM (AIS) DATA) Husni, Emir Mauludi; R. S., Muhammad Riksa Andanawari; Triharjanto, Robertus Heru
Indonesian Journal of Aerospace Vol. 14 No. 2 Desember (2016): Jurnal Teknologi Dirgantara
Publisher : BRIN Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/j.jtd.2016.v14.a2385

Abstract

Pencurian ikan merupakan kegiatan yang menyebabkan kerugian sangat besar untuk Indonesia, sementara wilayah perairan Indonesia yang luas membuat kegiatan pengawasan pencurian ikan tersebut menjadi sulit dilakukan. Peraturan internasional yang mewajibkan setiap kapal di atas 300 GT untuk mengirimkan data menggunakan AIS menjadi kesempatan untuk mendeteksi kapal-kapal yang melakukan pencurian ikan. Kemampuan Indonesia untuk mendeteksi sinyal AIS dari satelit LAPAN-A2/Orari memperbesar kesempatan tersebut. Penelitian ini bertujuan membangun bagian dari sistem peringatan dini aktivitas pencurian ikan, berdasarkan data AIS yang diterima oleh sensor di garis pantai dan di satelit. Proses pendeteksian dilakukan dengan menganalisa data perjalanan dari sistem AIS. Jenis-jenis pencurian ikan yang dapat dideteksi oleh algoritma ini adalah trans-shipment, penggunaan pukat harimau, pelanggaran zona teritorial, pelanggaran tidak melapor, pelanggaran wilayah penangkapan, dan pelanggaran tidak mengaktifkan pemancar sinyal AIS. Algoritma yang digunakan adalah metode Ray Casting, untuk menentukan suatu kapal berada dalam satu wilayah atau tidak. Perbaikan performa algoritma ini dilakukan dengan melakukan proses multithreading menggunakan kode Python. Algoritma diuji dengan data AIS dari LAPAN-A2/Orari dan data simulasi. Hasil menunjukkan bahwa algoritma yang dirancang untuk sistem analisis peringatan dini pencurian ikan (illegal fishing) dengan data AIS berhasil mendeteksi 6 jenis pelanggaran sesuai ketentuan Kementerian Kelautan dan Perikanan (KKP) Republik Indonesia yang telah disebutkan di atas dengan menggunakan data simulasi.
Co-Authors Agus Ambarwari Agus Fatulloh Ambarwari, Agus Dimitri Mahayana Dwi Hendratmo Widyantoro KUSPRIYANTO Muhammad Riksa Andanawari R. S R. S., Muhammad Riksa Andanawari Rani Megasari Robertus Heru Triharjanto Triharjanto, Robertus Heru