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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 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

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Texture Analysis of Citrus Leaf Images Using BEMD for Huanglongbing Disease Diagnosis Sumanto; Agus Buono; Karlisa Priandana; Bib Paruhum Silalahi; Elisabeth Sri Hendrastuti
JOIN (Jurnal Online Informatika) Vol 8 No 1 (2023)
Publisher : Department of Informatics, UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/join.v8i1.1075

Plant diseases significantly threaten agricultural productivity, necessitating accurate identification and classification of plant lesions for improved crop quality. Citrus plants, belonging to the Rutaceae family, are highly susceptible to diseases such as citrus canker, black spot, and the devastating Huanglongbing (HLB) disease. Traditional approaches for disease detection rely on expert knowledge and time-consuming laboratory tests, which hinder rapid and effective disease management. Therefore, this study explores an alternative method that combines the Bidimensional Empirical Mode Decomposition (BEMD) algorithm for texture feature extraction and Support Vector Machine (SVM) classification to improve HLB diagnosis. The BEMD algorithm decomposes citrus leaf images into Intrinsic Mode Functions (IMFs) and a residue component. Classification experiments were conducted using SVM on the IMFs and residue features. The results of the classification experiments demonstrate the effectiveness of the proposed method. The achieved classification accuracies, ranging from 61% to 77% for different numbers of classes, the results show that the residue component achieved the highest classification accuracy, outperforming the IMF features. The combination of the BEMD algorithm and SVM classification presents a promising approach for accurate HLB diagnosis, surpassing the performance of previous studies that utilized GLCM-SVM techniques. This research contributes to developing efficient and reliable methods for early detection and classification of HLB-infected plants, essential for effective disease management and maintaining agricultural productivity.

PENGELOLAAN COLD STORAGE IKAN DALAM PERSPEKTIF EKONOMI KELEMBAGAAN BARU Nova Firdaus; Suharno; Agus Buono
Forum Agribisnis Vol 14 No 2 (2024): FA VOL 14 NO 2 SEPTEMBER 2024
Publisher : Magister Science of Agribusiness, Department of Agribusiness, FEM-IPB University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/fagb.14.2.1-15

Cold storage yang dibangun Kementerian Kelautan dan Perikanan (KKP) di berbagai daerah sebagai salah satu implementasi kebijakan Sistem Logistik Ikan Nasional (SLIN) yang bertujuan untuk menjaga ketersediaan ikan untuk bahan baku industri dan konsumsi dalam negeri. Cold storage 1.000 ton didirikan untuk menjadi role model sarana buffer stock milik pemerintah di Wilayah Jakarta namun dalam implementasinya masih mengalami kendala karena pemanfaatannya belum optimal dan belum menarik minat pelaku perikanan dalam cakupan yang lebih luas. Tujuan penelitian adalah mengkaji sistem kelembagaan yang diterapkan dalam pengelolaan cold storage 1.000 ton dari perspektif bisnis. Penelitian menggunakan metode studi kasus di cold storage pemerintah yaitu cold storage berkapasitas 1.000 ton yang terletak di Muara Baru, Jakarta Utara. Analisis kelembagaan pengelolaan cold storage dilakukan secara kualitatif deskriptif dengan pendekatan teori Ekonomi Kelembagaan Baru. Output analisis yang diharapkan berupa penilaian terhadap kelembagaan yang berjalan apakah telah sesuai dengan prinsip-prinsip ekonomi kelembagaan baru dan teori yang mendukung lainnya. Hasil penelitian menunjukkan bahwa kelembagaan cold storage 1.000 ton masih membutuhkan peningkatan pengelolaan. Aspek yang paling berkontribusi terhadap kurangnya kinerja bisnis di cold storage tersebut adalah property right dan flexibility and adaptability. Implikasi yang dapat diberikan adalah perbaikan kelembagaan melalui 1) pengembangan model bisnis yang lebih customize dengan kebutuhan pengguna, 2) pembentukan badan atau lembaga yang lebih otoritatif dalam layanan publik, 3) penyelarasan insentif dan membangun kerja sama dengan cakupan pengguna yang lebih luas, 4) penerapan standar prosedur yang diimbangi komitmen kepatuhan dari stakeholders dan kontrol yang kuat, 5) peningkatan kecepatan dan fleksibilitas layanan serta 6) penetapan harga yang kompetitif.

Prediction of Duration of Dry Bamboo Leaf Counting Using Fuzzy Logic Faldiena Marcelita; Gema Parasti Mindara; Inna Noviyanti; Walidatush Sholihah; Agus Buono
Eduvest - Journal of Universal Studies Vol. 3 No. 12 (2023): Journal Eduvest - Journal of Universal Studies
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/eduvest.v3i12.967

Dry bamboo leaves are selected as a planting medium for ornamental plants to enhance nutrient content and improve soil drainage. Before being processed into fertilizer, dry bamboo leaves need to be shredded first. The leaf counting process for planting ornamental plants in villages still relies on manual methods such as using knives and scissors, which can be time-consuming and less effective. In response to this issue, a device for shredding dry bamboo leaves has been developed to improve efficiency and facilitate the leaf counting process. The innovation created is a household-scale dry bamboo leaf shredder that is more affordable and easy to mobilize due to its compact dimensions and lighter weight. The device is also easy to operate, as the shredding occurs when it is closed, and the process stops when it is opened, ensuring safe use for various users. The manual control of bamboo leaf weight and counting duration results in inconsistent shredding outcomes. Therefore, development has been carried out on the dry bamboo leaf shredder with artificial intelligence capabilities, specifically using fuzzy logic to automate the counting duration based on the size and weight of the bamboo leaves being inputted.

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

ENHANCING UNDERWATER IMAGE QUALITY: EVALUATING COMBINATIVE APPROACHES FOR EFFECTIVE IN SEAGRASS BED ECOSYSTEM Sri Dianing Asri; Indra Jaya; Agus Buono; Sony Hartono Wijaya
JITK (Jurnal Ilmu Pengetahuan dan Teknologi Komputer) Vol. 10 No. 2 (2024): JITK Issue November 2024
Publisher : LPPM Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/jitk.v10i2.5566

The Complex underwater characteristics, challenges for image processing tasks. These images often have poor visibility due to low contrast, light scattering and various types of interference. There is a lack of exploration into the effectiveness of existing underwater image enhancement methods, particularly in the context of seagrass ecosystems, allows for further investigation. This study aims to explore and evaluate the effectiveness of various methods in underwater image enhancement, including Colour Balanced, CLAHE, and Unsharp Masking and their combinations, starting with converting video data from UTS devices into two-dimensional images. Furthermore, the quality of images taken from underwater cameras placed in a complex and wild seagrass meadow environment was improved using the proposed method, and the quality was evaluated by the SSIM value. The results show that the CLAHE method has the highest average SSIM value of 0.898. Meanwhile, the combined Color Balanced-CLAHE method achieved an SSIM value of 0.683 in a separate evaluation. This combination is an innovative approach to address complex underwater image quality problems, providing a more specific and adaptive solution. Overall, the proposed method is able to improve the visual quality of images on aspects such as clarity, color, and visibility of objects in the image

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 Arif Imam Suroso Arini Aha Pekuwali Arini Pekuwali Astuti, Indah Puji Atik Pawestri Sulistyo Aziz Kustiyo Aziz Rahmad Benyamin Kusumoputro Bib Paruhum Silalahi Budi Nugroho Cece Sumantri Dhany Nugraha Ramdhany Dian Kartika Utami Djaksana, Yan Mitha Edi Santosa Ekowati Handharyani Elisabeth Sri Hendrastuti Endang Purnama Giri Erliza Hambali Erliza Noor Ernan Rustiadi Fadhilah Syafria Fadhilah Syafria Fajar Delli Wihartiko Fildza Novadiwanti Firdaus, Husni Firmansyah Ibrahim Fredicia Fredicia Galih Kurniawan Sidik Galih Kurniawan Sidik Galih Kurniawan Sidik Gema Parasti Mindara Gendut Suprayitno Gita Adhani GUNARSO GUNARSO Hastuadi Harsa Herianto Herianto Hidayat Hidayat Hidayat I Wayan Astika Ibrahim, Firmansyah Iis Rodiah Imas Sukaesih Sitanggang Indah Prasasti Indah Puji Astuti Indah Puji Astuti Indra Jaya Inggih Permana Inna Noviyanti 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 Mohamad Solahudin Muhammad Ardiansyah Muhammad Rafi Muttaqin Mushthofa Mustakim Mustakim Mustakim Mustakim Muttaqin, Muhammad Rafi Niswati, Za'imatun Nova Firdaus Nurhayati, Yosi Popong Nurhayati Pratistya, Sayu Desty Puspita Kartika Sari Puspita Kartika Sari Putri Yuli Utami Raharja, Aditya Cipta Rahmat Hidayat Rizal Syarief Rizaldi Boer Rizki, Arviani RR. Ella Evrita Hestiandari Santo, Deni Sanusi Sanusi Sari Agustini Hafman Savitri, Siska Sholihah, Walidatush Sidik, Galih Kurniawan Siregar, Ardinsyah Sitanggang, Imas S. Siti Kania Kushadiani Siti Raehan Sony Hartono Wijaya Sri Dianing Asri Sri Nurdiati Sri Wahjuni Stephane Douady Suharno Suharno Suharno Sumanto, Sumanto Syeiva Nurul Desylvia Taufik Djatna Thoyyibah Tanjung Toto Haryanto Trukan Sri Bahukeling Uliniansyah, Mohammad Teduh Vicky Zilvan Wisnu Ananta Kusuma Wisnu Jatmiko Woro Estiningtyas Woro Estiningtyas Woro Estiningtyas Yandra Arkeman Yenni Vetrita Yoanda, Sely

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