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All Journal Jurnal Agronomi Indonesia (Indonesian Journal of Agronomy) Jurnal Teknologi Dan Industri Pangan Jurnal Teknologi Industri Pertanian Jurnal Komunikasi Pembangunan Jurnal Pustakawan Indonesia Seminar Nasional Aplikasi Teknologi Informasi (SNATI) Jurnal Keteknikan Pertanian Perfecting a Video Game with Game Metrics Jurnal Ilmiah Kursor Jurnal Pengkajian dan Pengembangan Teknologi Pertanian Jurnal Studi Komunikasi dan Media JAM : Jurnal Aplikasi Manajemen Jurnal Teknologi Informasi dan Ilmu Komputer Jurnal Aplikasi Bisnis dan Manajemen (JABM) E-Journal Jurnal Edik Informatika : Penelitian Bidang Komputer Sains dan Pendidikan Informatika Jurnal PIKOM (Penelitian Komunikasi dan Pembangunan) International Journal of Supply Chain Management Warta Penelitian Perhubungan JURNAL PANGAN Indonesian Journal of Electrical Engineering and Computer Science Jurnal Pustakawan Indonesia

Kudang Boro Seminar

Departemen Teknik Mesin Dan Biosistem, Fakultas Teknologi Pertanian, IPB University

Author-ID : 2875739

Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Social Sciences Transportation

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Analisis Rantai Pasok Beras Organik Di Provinsi Jawa Barat Purwandoko, Pradeka Brilyan; Seminar, Kudang Boro; Sutrisno, Sutrisno; Sugiyanta, Sugiyanta
JURNAL PANGAN Vol 27, No 3 (2018): Vol 27, No 3 (2018): PANGAN
Publisher : Perum BULOG

Adanya perubahan paradigma dalam mengkonsumsi bahan pangan menjadikan pola hidup sehat berkembang di masyarakat, hal ini mengakibatkan preferensi mengenai bahan pangan organik terus meingkat. Salah satu produk pangan yang mempunyai prospek untuk dikembangkan adalah beras organik. Oleh karena itu, sangat penting menganalisis proses bisnis untuk mengetahui kondisi dan permasalahan yang terdapat pada rantai pasok beras organik. Penelitian ini bertujuan untuk mengetahui proses bisnis dan aliran rantai pasok beras organik di Provinsi Jawa Barat. Analisis rantai pasok dilakukan terhadap setiap aktivitas yang dilakukan selama proses produksi beras dari hulu hingga hilir. Kajian rantai pasok beras organik dilakukan di Kabupaten Bandung dan Tasikmalaya, Provinsi Jawa Barat. Teknik Purposive Sampling digunakan dalam pemilihan lokasi dan responden berdasar pertimbangan bahwa lokasi adalah sentra produksi beras organik serta responden telah mewakili seluruh informasi yang dibutuhkan pada rantai pasok. Metode penelitian ini menggunakan analisis deskriptif untuk mengetahui proses bisnis dan aktvitas rantai pasok. Berdasarkan hasil analisis diperoleh bahwa kondisi rantai pasok beras organik yang terbentuk belum optimal. Hal ini dikarenakan tidak terserapnya seluruh hasil panen petani ke industri penggilingan beras karena terbatasnya akses pasar dan modal yang dimiliki.

STUDI KELAYAKAN INAPORTNET DAN STRATEGI PENGEMBANGAN E-BUSINESS DI PELABUHAN MAKASSAR Kurniawan, Abdi; Seminar, Kudang Boro; Iskandar, Budhi Hascaryo; Nasution, Syahrial
Warta Penelitian Perhubungan Vol 27, No 5 (2015): Warta Penelitian Perhubungan
Publisher : Sekretariat Badan Penelitian dan Pengembangan Perhubungan

ABSTRAKPelabuhan Makassar merupakan salah satu pelabuhan utama di Indonesia yang berfungsi sebagai salah satu mata rantai yang ada dalam jaringan distribusi barang untuk menunjang pertumbuhan ekonomi di Indonesia Timur dengan memfasilitasi perdagangan antar pulau hingga kegiatan ekspor dan impor. Peningkatan produktifitas pelabuhan perlu diimbangi dengan upaya peningkatan pelayanan, salah satu diantaranya adalah pelayanan dokumen untuk kapal dan barang melalui teknologi informasi. Inaportnet merupakan sebuah portal online yang mampu melayani pengajuan dan pengolahan data serta informasi, pengambilan keputusan penyelesaian dokumen kepabeanan, dan kepelabuhanan secara terpadu dengan prinsip kesatuan, kecepatan pelayanan, konsisten, sederhana, transparan, efisien dan berkelanjutan. Sebagai sebuah proyek yang berskala besar, Inaportnet perlu dinilai kelayakannya karena sebuah studi kelayakan bukan hanya merupakan sebuah dasar pengambilan keputusan terhadap kelanjutan proyek tetapi juga merupakan sebuah persyaratan kelengkapan secara administratif. Kajian ini berfungsi untuk menilai kelayakan penggunaan Inaportnet di Pelabuhan Makassar dari berbagai perspektif serta merumuskan strategi pengembangan e-business di pelabuhan Makassar. Penelitian ini bersifat deskriptif kuantitatif melalui analisis TELOS untuk menentukan kelayakan proyek dan dilanjutkan dengan SWOT untuk perumusan strategi penerapan e-business. Hasil penelitian menunjukkan secara umum bahwa Inaportnet layak untuk diterapkan meskipun terdapat beberapa hambatan terutama dari aspek teknis, ekonomi, legal, operasional, dan penjadwalan. Strategi pengembangan e-business di Pelabuhan Makassar dilakukan melalui konsep Port Community System.

DEVELOPMENT OF WEB-BASED SYSTEM FOR BLAST DISEASE FORECASTING IN RICE PLANTATION Samudra, Ami Anggraini; Seminar, Kudang Boro; Widodo, Widodo
Jurnal EDik Informatika Vol 5, No 2 (2019)
Publisher : STKIP PGRI Sumatera Barat

Rice blast disease is devastating rice disease that can cause high yield loss. Therefore, it is necessary to control its distribution. This study aimed to develop a web-based system to predict the potential probability of blast disease occurrence by combining weather variable and cultural practices factor. ANN method was used to analyze the influence of weather variables on the occurrence of blast disease and to analyze the influence of cultural practices on the occurrence of blast disease executed by decision tree method. Results of this research indicate that proper cultural practices may inhibit the development of blast disease although weather variables support the development of the disease. As conclusion, a web-based system has been developed and can be used to predict the potential probability of blast occurrence. This system can also be used as an early warning system so that users can prevent the occurrence of blast disease.

Pendinginan Zona Perakaran (Root Zone Cooling) pada Produksi Benih Kentang menggunakan Sistem Aeroponik Eni Sumarni; Herry Suhardiyanto; Kudang Boro Seminar; Satyanto Krido Saptomo
Indonesian Journal of Agronomy Vol. 41 No. 2 (2013): Jurnal Agronomi Indonesia
Publisher : Indonesia Society of Agronomy (PERAGI) and Department of Agronomy and Horticulture, Faculty of Agriculture, IPB University, Bogor, Indonesia

High temperature is the major constraint to potato cultivation in the lowland for it causes stress and inhibit initiation of potato tuber. This study was designed to investigate the effects of root zone cooling upon seed potato production using aeroponics system in lowland wet tropical climates. Cultivation techniques used in this study was the aeroponics system with three cooling temperatures (10, 15, and 20 oC) and control (greenhouse room temperature). Plantlet of potato ‘Granola’ variety derived from tissue culture propagation were used. The results showed that the highest number of tuber and tuber weight that can be harvested up to 90 days after planting were obtained from cooling the root zone temperature at 10 °C with the average number of tuber 14.85 tubers plant-1and average weight of tubers 409.15 mg tuber-1. Plants grown at root zone cooling at 15 and 20 °C treatments produced lower number of tubers and lower tuber weight than at 10 oC, while plants grown at greenhouse temperature did not produce tubers.Keywords: cultivation techniques, Granola, high temperature, lowland tropical, potato tuber

Modeling Ontology and Semantic Network of Regulations in Customs and Excise Eva Maulina Aritonang; Kudang Boro Seminar; Sri Wahjuni; Onno Widodo Purbo
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.v15i4.6590

Regulations in customs and Excise have an important function in regulating legally every policy and decision making. Thus, the type of rules are made varies according to the hierarchy of the regulator. This regulation is also changing, following policy developments that occured in the higgest government. then, what if this organization has not been able to manage its regulatory archiving? even regulatory changes can not be tracked? So, we need a well-organized system that can accomodate all of the rules and the associated changes and connectedness with other type of regulations. This system will help us to provide convenience to users to search, manage and track the history of changes as well as the relationship between the rules used by the organization. This paper propose the design of an ontology-based semantic network using a graph database that use neo4j 2.3.1 as a solution. In the application that uses the sample data, we found 13 types of nodes that contains 242 child nodes and 22 type of relation that contain 548 relation that connect all the node within 3305ms.

Mobile-based Expert System for Selecting Broiler Farm Location Using PostGIS Arif Kurnia Wijayanto; Kudang Boro Seminar; Rudi Afnan
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 14, No 1: March 2016
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v14i1.2903

Massive development of broiler farms has led to many socio-environmental problems. Based on idea that broiler farm must be located at suitable location, an expert system for site selection based on the socio-environmental factors and sustainable principles is urgently needed to cope with this problem. The objective of this research was to develop a mobile-based expert system as a guidance for broiler farmers to choose best location for broiler farm. There were four factors considered in the system: 1) ecology and environmental impact, 2) economic and infrastructure, 3) natural condition, and 4) natural disaster vulnerability, each of which consists of sub-factors. A mobile-based expert system has been developed by using opensource web GIS server and PostgreSQL/PostGIS, and can be installed on Android device. As conclusion, a mobile-based expert system has been developed and can be used to determine suitable location for broiler farm development.

Optimization of Parallel K-means for Java Paddy Mapping Using Time-series Satelite Imagery Alvin Fatikhunnada; Kudang Boro Seminar; Liyantono Liyantono; Mohamad Solahudin; Agus Buono
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 16, No 3: June 2018
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v16i3.6876

Spatiotemporal analysis of MODIS Vegetation Index Imagery widely used for vegetation seasonal mapping both on forest and agricultural site. In order to provide a long-terms of vegetation characteristic maps, a wide time-series images analysis is needed which require high-performance computer and also consumes a lot of energy resources. Meanwhile, for agriculture monitoring purpose in Indonesia, that analysis has to be employed gradually and endlessly to provide the latest condition of paddy field vegetation information. This research is aimed to develop a method to produce the optimized solution in classifying vegetation of paddy fields that diverse both spatial and temporal characteristics. The time-series EVI data from MODIS have been filtered using wavelet transform to reduce noise that caused by cloud. Sequential K-means and Parallel K-means unsupervised classification method were used in both CPU and GPU to find the efficient and the robust result. The developed method has been tested and implemented using the sample case of paddy fields in Java Island. The best system which can accommodate of the extend-ability, affordability, redundancy, energy-saving, maintainability indicators are ARM-based processor (Raspberry Pi), with the highest speed up of 8 and the efficiency of 60%.

Weed Control Decision Support System Based on Precision Agriculture Approach Rizky Mulya Sampurno; Kudang Boro Seminar; Yuli Suharnoto
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 12, No 2: June 2014
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v12i2.62

Herbicides have been widely used for weed control in modern agriculture. However the use of herbicides is potentialy introducing negative impact to the environment due to excessive use of herbicides. Based on precision agriculture principles, unique and precise treatment of herbicide supply for a particular area for crop production must be performed. The objective of this research is to develop a decision support system (DSS) for schedulling of weed spraying and for selecting the proper nozzle size of the sprayers that introduce minimum negative impact to the environment. The main set of data required for our proposed system includes the set of 10 years weather data series acquired from remote sensing (NOAA and TRMM) and a set of vegetation index from MODIS EVI. The weather data set is utilized to determine the planting time period of paddy crop and to determine the proper size of the sprayers for weed spraying. Our DSS prototype has been implemented and tested with real data set in Jonggol district, West Java, Indonesia. The implementation, testing results, and future enhancement of our system are discussed in this paper.

The Formation of Optimal Portfolio of Mutual Shares Funds using Multi-Objective Genetic Algorithm Yandra Arkeman; Akhmad Yusuf; Mushthofa Mushthofa; Gibtha FitriLaxmi; Kudang Boro Seminar
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 11, No 3: September 2013
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v11i3.1148

Investments in financial assets have become a trend in the globalization era, especially the investment in mutual fund shares. Investors who want to invest in stock mutual funds can set up an investment portfolio in order to generate a minimal risk and maximum return. In this study the authors used the Multi-Objective Genetic Algorithm Non-dominated Sorting II (MOGA NSGA-II) technique with the Markowitz portfolio principle to find the best portfolio from several mutual funds. The data used are 10 company stock mutual funds with a period of 12 months, 24 months and 36 months. The genetic algorithm parameters used are crossover probability of 0.65, mutation probability of 0.05, Generation 400 and a population numbering 20 individuals. The study produced a combination of the best portfolios for the period of 24 months with a computing time of 63,289 seconds.

Analysing Signal Strength and Connection Speed in Cloud Networks for Enterprise Business Intelligence Gananda Hayardisi; Kudang Boro Seminar; Arief Ramadhan
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 16, No 4: August 2018
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v16i4.8454

Signal strength and speed connection data which are collected and available in a company have not been optimally and beneficially processed and stored for more added value business purposes. Therefore, the collected data need to be utilized in more strategic way for business intelligent in the company that enables management to conduct better and smarter decision making. This research is aimed to develop a business intelligence system based on cloud computing platform which is more flexible and manageable in terms of cost and resources. The developed system adopts the three tier architectures of data warehouse that provides data extraction, transform, and load (ETL) functions and the creation of dimensional models and visualization in dashboard forms. Business intelligence solutions have been created based on cloud computing using Microsoft Azure SQL Database as database storage of data warehouse and Power BI as a dimensional model and dashboard visualization. The developed system prototype has been implemented and tested for its functionalities and capabilities in a web platform.

Co-Authors A. Haris Rangkuti Abdi Kurniawan Abung Supama Wijaya Agus Buono Agus Buono Agus Ghautsun Niam Agus Maulana Ahmad Yani Akhiruddin Maddu Ali Djamhuri Alimuddin Alimuddin Alvin Fatikhunnada Amiruddin Saleh Arief Ramadhan Arif Imam Suroso Arif Kurnia Wijayanto Azka Bazil Danish Rahmat B Mustafa Badollahi Mustafa Bagus Sartono Bayu Ardy Kresna Bayu Indrayana Budhi Hascaryo Iskandar Dedy Wirawan Soedibyo Diki Gita Purnama Dodi Nandika Dodik Briawan Drajat Martianto Dwi Susanto Edi Sukmadirana Edit Lesa Aditya Eneng Tita Tosida Eni Sumarni Eva Maulina Aritonang Faiz Ridhan Faroka Firman Ardiansyah Gananda Hayardisi Gibtha Fitri Laxmi Hardinsyah . Haris Budiman Harry Imantho HERRY SUHARDIYANTO Heru Sukoco Herwindo Dharmawan I Dewa Made Subrata I Wayan Astika Imam Teguh Saptono Irman Hermadi Janti G. Sudjana Joko Hermanianto Joko Ratono Joko Ratono Kurniawan, Abdi Liyantono . Lucia Cyrilla Luh Putu Ratna Sundari Maria Margrith Tirtasari Marimin . Melva Linda Aritonang Mohamad Solahudin Mohammad Solahudin Muhammad Firdaus Muhammad Riza Mushthofa Mushthofa Nakao Nomura Nanda, Muhammad Achirul Nasution, Syahrial Nila Susila Yulianti Nugraha Edhi Suyatma Oktaviana Purnamasari Onno Widodo Purbo Pradeka Brilyan Purwandoko Pudji Muljono Purwandoko, Pradeka Brilyan Raden Arief Firmansyah RATNA SARI Rizky Mulya Sampurno Rudi Afnan Rudi Afnan Samudra, Ami Anggraini Satyanto Krido Saptomo Siska Mulyawaty Sitti Eha Faihah Sugiyanta Sumiati Sumiati Suryo Wiyono Sutrisno Sutrisno Sutrisno Sutrisno Sutrisno, Sutrisno Syahrial Nasution Taufik Makbullah Triani Rahmawati Usman Ahmad Wawan Wiraatmaja Wichitra Yasya Widodo Widodo Widodo Widodo Yandra Arkeman Yandra Arkeman Yandra Arkeman Yulia Dwi Indriani Yusra Fernando

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