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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) Jurnal Ilmu Pertanian Indonesia Agromet MANAJEMEN IKM: Jurnal Manajemen Pengembangan Industri Kecil Menengah Jurnal Pustakawan Indonesia FORUM STATISTIKA DAN KOMPUTASI Seminar Nasional Aplikasi Teknologi Informasi (SNATI) Jurnal Ilmu Komputer dan Informasi Jurnal Pembangunan Wilayah dan Kota Agrikultura Jurnal Keteknikan Pertanian Proceedings of KNASTIK Jurnal Simetris TELKOMNIKA (Telecommunication Computing Electronics and Control) Jurnal Ilmu Komputer dan Agri-Informatika Forum Agribisnis SITEKIN: Jurnal Sains, Teknologi dan Industri Jurnal Teknologi Informasi dan Ilmu Komputer Journal of ICT Research and Applications Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (Journal of Natural Resources and Environmental Management) International Journal of Advances in Intelligent Informatics Jurnal Aplikasi Bisnis dan Manajemen (JABM) E-Journal Widyariset JOIN (Jurnal Online Informatika) Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Informatika Pertanian Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control JITK (Jurnal Ilmu Pengetahuan dan Komputer) Jurnal Informatika Universitas Pamulang Jurnal ULTIMATICS CYBERNETICS BHUMI: Jurnal Agraria dan Pertanahan Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika JURNAL METEOROLOGI DAN GEOFISIKA Building of Informatics, Technology and Science Journal of Robotics and Control (JRC) Indonesian Journal of Electrical Engineering and Computer Science Computer Science and Information Technologies Jurnal Tanah dan Iklim Widyariset Aiti: Jurnal Teknologi Informasi Jurnal Pustakawan Indonesia Makara Journal of Science Eduvest - Journal of Universal Studies J-Icon : Jurnal Komputer dan Informatika Jurnal Sistem Informasi

Agus Buono

Department Of Computer Science, Faculty Of Mathematics And Natural Science, Bogor Agricultural University, Jalan Meranti, Kampus IPB Darmaga, Bogor 16680,

Author-ID : 221408

Aerospace Engineering Agriculture, Biological Sciences & Forestry Astronomy Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Neuroscience Physics Social Sciences Other

Published : 78 Documents Claim Missing Document

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AN IT2FS MODEL FOR SHARIA CREDIT SCORING: ANALYSIS & DESIGN Galih Kurniawan Sidik; Taufik Djatna; Agus Buono
Jurnal Sistem Informasi Vol. 9 No. 2 (2013): Jurnal Sistem Informasi (Journal of Information System)
Publisher : Faculty of Computer Science Universitas Indonesia

Credit scoring system is a classic problem which is still interesting to study. There are many studies on credit scoring. But, most of them only discuss feasibility analysis. In fact, credit scoring system should accommodate all processes from feasibility analysis until the end of contract. This study is aimed to analyze and design scoring of default status and ﬁnes computation processes in Islamic bank. BPMN 2.0 was used to model their processes. Beside that, this study proposed new mechanisms and algorithms using Interval Type-2 Fuzzy Sets for maintaining Sharia rules and fairness guarantee. The results showed that the new methods offer more fair and comply to sharia than existing methods.

Analysis and review of the possibility of using the generative model as a compression technique in DNA data storage: review and future research agenda Muhammad Rafi Muttaqin; Yeni Herdiyeni; Agus Buono; Karlisa Priandana; Iskandar Zulkarnaen Siregar
International Journal of Advances in Intelligent Informatics Vol 9, No 3 (2023): November 2023
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26555/ijain.v9i3.1063

The amount of data in this world is getting higher, and overwriting technology also has severe challenges. Data growth is expected to grow to 175 ZB by 2025. Data storage technology in DNA is an alternative technology with potential in information storage, mainly digital data. One of the stages of storing information on DNA is synthesis. This synthesis process costs very high, so it is necessary to integrate compression techniques for digital data to minimize the costs incurred. One of the models used in compression techniques is the generative model. This paper aims to see if compression using this generative model allows it to be integrated into data storage methods on DNA. To this end, we have conducted a Systematic Literature Review using the PRISMA method in selecting papers. We took the source of the papers from four leading databases and other additional databases. Out of 2440 papers, we finally decided on 34 primary papers for detailed analysis. This systematic literature review (SLR) presents and categorizes based on research questions, namely discussing machine learning methods applied in DNA storage, identifying compression techniques for DNA storage, knowing the role of deep learning in the compression process for DNA storage, knowing how generative models are associated with deep learning, knowing how generative models are applied in the compression process, and knowing latent space can be formed. The study highlights open problems that need to be solved and provides an identified research direction.

PERLUASAN METODE MFCC 1D KE 2D SEBAGAI ESKTRAKSI CIRI PADA SISTEM IDENTIFIKASI PEMBICARA MENGGUNAKAN HIDDEN MARKOV MODEL (HMM) Buono, Agus; Jatmiko, Wisnu; Kusumoputro, Benyamin
Makara Journal of Science Vol. 13, No. 1
Publisher : UI Scholars Hub

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

The Extention of MFCC Technique from 1D to 2D as Feature Extractor for Speaker Identification System Using HMM. In this paper, we introduce an extension of Mel-Frequency Cepstrum Coefficients (1D-MFCC) methodology to bispectrum data, referred to as 2D-MFCC, for feature extraction. 2D-MFCC is based on 2D bispectrum data rather than 1D spectrum vector yielded by Fourier transform, so the filter in 1D-MFCC must be extend to 2D filter and using 2D cosine transform to get the mel-cepstrum coefficients from the filtered bispectrum values. Based on 2D-MFCC, we develop a speaker recognition system with Hidden Markov Model (HMM) as classifier. The experimental results show that the recognition rate is around 88%, 92% and 99% for 20, 40 and 60 data training, respectively

Modified Q-Learning Algorithm for Mobile Robot Path Planning Variation using Motivation Model Hidayat, Hidayat; Buono, Agus; Priandana, Karlisa; Wahjuni, Sri
Journal of Robotics and Control (JRC) Vol 4, No 5 (2023)
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jrc.v4i5.18777

Path planning is an essential algorithm in autonomous mobile robots, including agricultural robots, to find the shortest path and to avoid collisions with obstacles. Q-Learning algorithm is one of the reinforcement learning methods used for path planning. However, for multi-robot system, this algorithm tends to produce the same path for each robot. This research modifies the Q-Learning algorithm in order to produce path variations by utilizing the motivation model, i.e. achievement motivation, in which different motivation parameters will result in different optimum paths. The Motivated Q-Learning (MQL) algorithm proposed in this study was simulated in an area with three scenarios, i.e. without obstacles, uniform obstacles, and random obstacles. The results showed that, in the determined scenario, the MQL can produce 2 to 4 variations of optimum path without any potential of collisions (Jaccard similarity = 0%), in contrast to the Q-Learning algorithm that can only produce one optimum path variation. This result indicates that MQL can solve multi-robots path planning problems, especially when the number of robots is large, by reducing the possibility of collisions as well as decreasing the problem of queues. However, the average computational time of the MQL is slightly longer than that of the Q-Learning.

Optimization of Participatory and Collaborative Planning Methods for Accelerating the Preparation of Detailed Spatial Plans Santo, Deni; Achsani, Noer Azam; Rustiadi, Ernan; Buono, Agus
BHUMI: Jurnal Agraria dan Pertanahan Vol. 9 No. 1 (2023): Bhumi: Jurnal Agraria dan Pertanahan
Publisher : Pusat Penelitian dan Pengabdian kepada Masyarakat, Sekolah Tinggi Pertanahan Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31292/bhumi.v9i1.767

The availability of Detailed Spatial Plans (RDTR) is crucial for supporting development implementation and ease of doing business. However, there are still problems in the preparation of RDTR, necessitating acceleration. Regarding this acceleration, it is necessary to analyze how participatory and collaborative planning methods can play a role. Participatory and collaborative approaches are important because public trust and stakeholder relationships in participatory and collaborative planning influence the implementation process and planning outcomes. This study aims to identify the relationships between implementing actors and stakeholders involved in the preparation of RDTR so that they can be optimized with a participatory and collaborative approach. The research methods used are Social Network Analysis (SNA), Organizational Network Analysis (ONA), and post-review surveys. The results show that the relationships between implementing actors and stakeholders related to RDTR preparation are not yet optimal, therefore requiring remapping and rearrangement within the legal framework. Participatory and collaborative approaches will elaborate the possibility of more effective and efficient relationships with changes in roles and media of interaction. Keywords: Collaborative, Network Analysis, Participatory, RDTR, Spatial Planning

Perbandingan Algoritma K-Means dan Fuzzy C-Means untuk Clustering Citra Daun Melon Siregar, Ardinsyah; Buono, Agus; Priandana, Karlisa
Building of Informatics, Technology and Science (BITS) Vol 4 No 3 (2022): December 2022
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v4i3.2534

Melon plants are plants that are susceptible to disease, both diseases caused by viruses and those caused by bacteria. One part of the plant that can be affected by the disease is the leaves. Leaves on diseased plants generally change color which will then affect other leaves and inhibit the development and growth of these plants. This study aims to classify melon plant diseases from melon leaf images. The data used in this study are 160 images of melon leaves which will be grouped into several groups from the healthy group to the unhealthy group. The method used is the Clustering method, namely: K-Means algorithm and Fuzzy C-Means algorithm. Clustering results using K-Means and Fuzzy C-Means can be compared to get the best clustering results. The comparison results show the Fuzzy C-Means Clustering method with a validation value of 0.8359 and the K-Means Clustering method with a validation value of 0.5793. The final result shows that the Fuzzy C-Means Clustering method is better than the K-Means Clustering method because the validation value is close to 1.

Pemetaan Kapabilitas Kantor Wilayah Bank Syariah Indonesia Region Jakarta (Periode 2020 - 2022) Savitri, Siska; Buono, Agus; Suprayitno, Gendut
MANAJEMEN IKM: Jurnal Manajemen Pengembangan Industri Kecil Menengah Vol. 18 No. 1 (2023): Manajemen IKM
Publisher : Institut Pertanian Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/mikm.18.1.29-37

The banking industry is required to accelerate the implementation of digital banking in order to be able to compete in order to provide services that are easier and faster and in accordance with customer needs. banking is one of the important pillars as an intermediary for the community to build small medium and micro industries and the role of banking is very important in building the country's economy in the digital era. Small and Medium Industry players must start transforming to digitalization, by changing transactions that were previously traditional into digital financial transactions. The purpose of this research is in DKI Jakarta. This study aims to identify the resources and capabilities of the Bank Syariah Indonesia (BSI) Jakarta region which have the potential to become a sustainable competitive advantage. This study uses primary and secondary data. Primary data was obtained from distributing questionnaires to respondents and interviewing experts (upper and middle management of BSI Jakarta area) using in-depth interviews. Secondary data obtained from literature studies. Based on the results of the discussion that has been described, it can be concluded that there are as many as 30 variables in the resources and capabilities of the BSI Jakarta region that have the potential to become a competitive advantage. The results of the VRIO analysis show that there are 14 variables in the resources and capabilities of the BSI Jakarta region which have a sustainable competitive advantage. Apart from that, good human resource services should be maintained and their capabilities improved so that they can educate the Small and Medium Industries in using the digital banking system contained in BSI in the Jakarta region which is the backbone for growth both in terms of assets, third party funds and financing for BSI. BSI Jakarta region needs to have an operational strategy in order to be able to carry out the main strategy that is the focus of BSI, one of which is strengthening capacity and capability and developing Small and Medium Industries. The business strategy for the BSI Jakarta region in supporting BSI strategy can be formulated from the resources and capabilities of BSI.

Faktor-Faktor Pengaruh pada Percepatan Penyusunan Rencana Detail Tata Ruang (RDTR) di Indonesia Santo, Deni; Achsani, Noer Azam; Rustiadi, Ernan; Buono, Agus
Jurnal Pembangunan Wilayah dan Kota Vol 20, No 3 (2024): JPWK Volume 20 No. 3 September 2024
Publisher : Universitas Diponegoro, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/pwk.v20i3.64229

Rencana Detail Tata Ruang (RDTR) merupakan salah satu dokumen digunakan dalam menyelenggarakan penataan ruang dan alat pengendali pemanfaatan ruang di Indonesia, serta dokumen yang digunakan dalam acuan perizinan pembangunan dan berusaha. Penelitian yang dilakukan oleh World Economic Forum pada 2020 menunjukkan bahwa inefisiensi birokrasi berupa minimnya ketersediaan RDTR di kabupaten/kota menjadi salah satu penghambat percepatan proses perizinan berusaha dan berinvestasi melalui sistem Online Single Submission. Berbagai intervensi kebijakan dan pelaksanakan program sudah dilakukan untuk mengatasi hambatan pencapaian kinerja realisasi RDTR, namun sampai 8 Januari 2024, progres RDTR hanya mencapai 399 RDTR Kabupaten/Kota atau sekitar 19,59% dari target Rencana Strategis Kementerian ATR/BPN sebanyak 2036 lokasi. Penelitian ini bertujuan untuk menentukan faktor yang berpengaruh dan besaran pengaruhnya terhadap percepatan penyusunan RDTR. Penelitian ini menggunakan data primer yang diperoleh dengan menyebarkan kuesioner Analytic Hierarchy Process (AHP) kepada 80 target responden. Survei yang dilakukan pada medio 2023 terhadap 4 (empat) kelompok Ahli melalui metode Analytic Hierarchy Process, telah memberikan gambaran faktor pengaruh dan besaran pengaruhnya terhadap kebijakan tersebut. Hasil penelitian menujukkan bahwa prioritas faktor yang dapat mendukung kebijakan percepatan penyusunan RDTR adalah: 1) Komitmen pemerintah daerah; 2) Ketersediaan data; 3) Aspek manajerial; 4) Aspek kebijakan; serta 5) Aspek dukungan TIK. Selain itu, subfaktor paling utama yang dapat mempercepat penyusunan RDTR dengan bobot sebesar 11,4% adalah komitmen pemerintah daerah dalam penetapan Peraturan Kepala Daerah (Perkada) RDTR. Hasil penelitian ini dijadikan sebagai bahan pertimbangan bagi Pemerintah Daerah dalam merumuskan Readiness Criteria Index (RCI) penyusunan RDTR sekaligus mengidentifikasi hambatan dan tantangan yang dihadapi.

Perancangan Prototipe Sistem Manajemen Pengetahuan Antar Universitas (Studi Kasus IPB Dan UNPAK) Ibrahim, Firmansyah; Hermadi, Irman; Buono, Agus
Jurnal Pustakawan Indonesia Vol. 14 No. 2 (2015): Jurnal Pustakawan Indonesia
Publisher : Perpustakaan IPB

The rapid development of knowledge encourages universities to collaborate on their knowledge in specific expertise field to create an equitable distribution of knowledge. Program of computer science at Bogor Agriculture University (IPB) is a superior expertise in the field of agriculture while Pakuan University (UNPAK) is superior expertise in the field of electronics. The aim of this study was to design a prototype of knowledge management system as the knowledge sharing for learning of inter-universities using Knowledge Management System Life Cycle (KMSLC) method. The study result was Joomla one kind of Content Management System (CMS) can be used to share knowledge in the form of discussion forums and combining various info from IPB and UNPAK in one interface including news, announcements, agenda, and social media. This CMS also collaborate with applications Electronic Learning System (ELS) Moodle and Hyper Text Markup Language (HTML). ELS Moodle serves as an application in learning of inter-university with the single sign concept which was run in a single interface, while HTML serves as a search engine knowledge by generating external link that combines 2 KMS from IPB and UNPAK into one interface. The conclusion was the knowledge sharing for learning of inter-university can be done with the design of knowledge management system through collaboration three different systems.Keywords: CMS Joomla, ELS Moodle, HTML search engine, KMSLC, Knowledge Management Systems, Prototype

Pengembangan Sistem Pakar Identifikasi Awal Penyakit Kedelai Dengan Pendekatan Naïve Bayes Berbasis Android Astuti, Indah Puji; Hermadi, Irman; Buono, Agus; Mutaqin, Kikin H.
Jurnal Pustakawan Indonesia Vol. 14 No. 2 (2015): Jurnal Pustakawan Indonesia
Publisher : Perpustakaan IPB

Pengidentifikasian penyakit kedelai secara dini menjadi salah satu cara untuk meningkatan angka produktifitas kedelai. Jumlah pakar penyakit kedelai yang masih relatif sedikit apalagi di daerah pedesaan membuat ketergantungan atas keberadaan seorang pakar penyakit kedelai sangatlah tinggi terutama bagi para pemula di bidang pertanian. Suatu sistem pakar menjadi salah satu solusi yang dapat dijadikan sarana untuk berkonsultasi tentang penyakit kedelai layaknya seorang pakar. Sistem yang diimplementasikan dalam basis Android akan lebih mudah digunakan di manapun dan kapanpun tanpa harus bertemu dengan pakar karena kesempatan dan waktu pakar yang tidak mudah untuk ditemui setiap saat. Tujuan penelitian ini adalah untuk mengembangkan sistem pakar identifikasi awal penyakit kedelai dengan mengadopsi metode Expert System Development Life Cycle (ESDLC) untuk tahapan pengembangan sistem dan pendekatan Naïve Bayes sebagai metode inferensinya. Hasil penelitian ini berupa prototype sistem pakar XSIDS yang terdiri dari enam modul utama yaitu modul pengetahuan tentang kedelai, kebijakan pemerintah, konsultasi, tentang kami, tentang XSIDS dan note.Kata Kunci : Android, ESDLC, Naïve Bayes, Sistem Pakar, Penyakit Tanaman Kedelai

Co-Authors Ade Fruandta Adi Rakhman Aditya Cipta Raharja Agung Prajuhana Putra Akhmad Faqih Alif Kurniawan Alvin Fatikhunnada Anang Kurnia Angga Wahyu Pratama Aries Maesya Arini Aha Pekuwali Arini Pekuwali Astuti, Indah Puji Atik Pawestri Sulistyo Aziz Kustiyo Aziz Rahmad Bahukeling, Trukan Sri Benyamin Kusumoputro Bib Paruhum Silalahi Budi Nugroho Cece Sumantri DEWI APRI ASTUTI Dhany Nugraha Ramdhany Dian Kartika Utami Edi Santosa Ekowati Handharyani Elisabeth Sri Hendrastuti Endang Purnama Giri Erliza Hambali Erliza Noor Ernan Rustiadi Fadhilah Syafria Fajar Delli Wihartiko Fildza Novadiwanti Firdaus, Husni Firdaus, Nova Fredicia Fredicia Galih Kurniawan Sidik Galih Kurniawan Sidik Galih Kurniawan Sidik Gendut Suprayitno Gita Adhani GUNARSO GUNARSO Hardhienata, Medria Kusuma Dewi Harry Dhika, Harry Hastuadi Harsa Herianto Herianto Hidayat Hidayat Hidayat I Wayan Astika Ibrahim, Firmansyah Iis Rodiah Imam Suroso, Arif Imas Sukaesih Sitanggang Indah Prasasti Indah Puji Astuti Indra Jaya Inggih Permana Irman Hermadi Irmansyah . Irsal Las Irsal Las ISKANDAR ZULKARNAEN SIREGAR Kana Saputra S Karlisa Priandana Kikin H Mutaqin Kudang Boro Seminar Laila Sari Lubis Laila Sari Lubis Lailan Syaufina Lidya Ningsih Liyantono . M. Cholid Mawardi M. Mukhlis Marcelita, Faldiena Medria Kusuma Dewi Hardhienata Mindara, Gema Parasti Mohamad Solahudin Muhammad Ardiansyah Muhammad Rafi Muttaqin Mushthofa Mustakim Mustakim Mustakim Mustakim Muttaqin, Muhammad Rafi Niswati, Za'imatun Noviyanti, Inna Nurhayati, Yosi Popong Nurhayati Pratistya, Sayu Desty Puspita Kartika Sari Puspita Kartika Sari Putri Yuli Utami Raehan, Siti Raharja, Aditya Cipta Rahmat Hidayat Rizal Syarief Rizaldi Boer Rizki, Arviani RR. Ella Evrita Hestiandari Santo, Deni Sanusi Sanusi Sari Agustini Hafman Savitri, Siska Shelvie Nidya Neyman Sholihah, Walidatush Sidik, Galih Kurniawan Siregar, Ardinsyah Sitanggang, Imas S. Siti Kania Kushadiani Sony Hartono Wijaya Sri Dianing Asri Sri Hendrastuti, Elisabeth Sri Nurdiati Sri Wahjuni Stephane Douady Suharno Suharno Suharno Sumanto, Sumanto Syeiva Nurul Desylvia Taufik Djatna Thoyyibah Tanjung Toto Haryanto Uliniansyah, Mohammad Teduh Vicky Zilvan Wisnu Ananta Kusuma Wisnu Jatmiko Woro Estiningtyas Woro Estiningtyas Woro Estiningtyas Yan Mitha Djaksana Yandra Arkeman Yenni Vetrita Yoanda, Sely

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