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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 Jurnal Sain Veteriner Buletin Peternakan Seminar Nasional Aplikasi Teknologi Informasi (SNATI) Jurnal Keteknikan Pertanian TELKOMNIKA (Telecommunication Computing Electronics and Control) Jurnal Ilmiah Kursor Jurnal Pengkajian dan Pengembangan Teknologi Pertanian Jurnal Studi Komunikasi dan Media Jurnal Teknologi Informasi dan Ilmu Komputer Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (Journal of Natural Resources and Environmental Management) Jurnal Aplikasi Bisnis dan Manajemen (JABM) E-Journal Jurnal Edik Informatika : Penelitian Bidang Komputer Sains dan Pendidikan Informatika Jurnal PIKOM (Penelitian Komunikasi dan Pembangunan) JOIV : International Journal on Informatics Visualization Nyimak: Journal of Communication Matra Pembaruan: Jurnal Inovasi Kebijakan International Journal of Supply Chain Management Warta Penelitian Perhubungan JURNAL PANGAN Journal of Information System, Applied, Management, Accounting and Research Indonesian Journal of Electrical Engineering and Computer Science Jurnal Pustakawan Indonesia
Kudang Boro Seminar
Department Of Mechanical And Biosystem Engineering, Faculty Of Agricultural Technology, IPB University, Bogor, 16680
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ERP Selection Using Fuzzy-MOGA Approach: A Food Enterprise Case Study Joko Ratono; Kudang Boro Seminar; Yandra Arkeman; Arif Imam Suroso
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 13, No 3: September 2015
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v13i3.1494

Abstract

Selection of Enterprise Resource Planning (ERP) system is a complex decision-making process and one of the critical success factors (CSFs) in ERP adoption life cycle. Many ERP implementation failures are caused by improper package selection. Various approaches have been used, but not using optimization techniques. This study developed a Fuzzy-Multiobjective Genetic Algorithm (Fuzzy-MOGA) approach to optimize the quality of ERP selection criteria that complies with ISO25010 quality standard and cost. A case study was conducted on an agro-industrial company. The result shows the approach of Fuzzy-MOGA with NSGA-II method facilitate a complex decision-making for ERP selection optimally.
Temperature Control System in Closed House for Broilers Based on ANFIS Alimuddin Alimuddin; Kudang Boro Seminar; I Dewa Made Subrata; Nakao Nomura; Sumiati Sumiati
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 10, No 1: March 2012
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v10i1.762

Abstract

 Indonesia is a tropical country with high ambient temperatures for broilers since daily temperature reaches an average daily temperature of 360C (maximum) and 320 C (minimum); whereas the optiml temperature for broilers is in the range of 28-300C. Thefefore, midle or large scale broiler industries have been using a control system to maintain the optimal temperature within a broiler house. Therefore, the role of a control system for regulating environmental parameters, not only temperature but also humidity, light intensity, and amonia content level, is very critical and relevant for better broiler production. This study aims to design an ANFIS control system for controlling the temperature inside a broiler house (closed house) for broiler. Data is collected at three different periods of the starter period (5 days): 29.50C-30.900C, a period of 25 days is a grower-29.0C 34.20C, and the finisher of 30 days is obtained 33.20C. Set point control simulation using the same temperature 290C for starter, grower and finisher period. The simulation results show the output in a closed house temperature fluctuates around set point the 290C-340C.
SOFTWARE DESIGN FOR PRODUCTION PLANNING OF CHRYSANTEMUM FRESH FLOWER (CASE STUDY AT PT. ALAM INDAH BUNGA NUSANTARA, CIPANAS – WEST JAVA) Ratna Sari; Kudang Boro Seminar
Jurnal Teknologi dan Industri Pangan Vol. 12 No. 1 (2001): Jurnal Teknologi dan Industri Pangan
Publisher : Departemen Ilmu dan Teknologi Pangan, IPB Indonesia bekerjasama dengan PATPI

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Abstract

This paper describes the development and implementation of software production planning of chrysantemum fresh flower. The software utilizes quantitative method time series (moving average and exponential smoothing) for predicting the demand of fresh flowers. The software is also equipped with a simulation utility (using Monte Carlo method) for computing total cost activity in one greenhouse tunnel during one period plant. Based on the case test observation carried out at PT. Alam Indah Bunga Nusantara Cipanas, it is obtained that the error introduced by qualitative forecasting is 15.12%. The errors of quantitative forecasting using moving average and exponential smoothing are 8.32 %, and 18.72 % respectively. The mean value of total cost simulation (Rp 28.291/m2) does not differ significantly from while the mean value of the real cost production (Rp 28.554/m2). This introduces error equal to 0.92%. Keywords: Chrysantemum, Monte Carlo, planning, production, simulation
Software Design For Production Planning Of Chrysantemum Fresh Flower (Case Study At Pt. Alam Indah Bunga Nusantara, Cipanas – West Java) Ratna Sari; Kudang Boro Seminar
Jurnal Teknologi Industri Pertanian Vol. 19 No. 1 (2009): Jurnal Teknologi Industri Pertanian
Publisher : Department of Agroindustrial Technology, Bogor Agricultural University

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Abstract

This paper describes the development and implementation of software production planning of chrysantemum fresh flower. The software utilizes quantitative method time series (moving average and exponential smoothing) for predicting the demand of fresh flowers. The software is also equipped with a simulation utility (using Monte Carlo method) for computing total cost activity in one greenhouse tunnel during one period plant. Based on the case test observation carried out at PT. Alam Indah Bunga Nusantara Cipanas, it is obtained that the error introduced by qualitative forecasting is 15.12%. The errors of quantitative forecasting using moving average and exponential smoothing are 8.32 %, and 18.72 % respectively. The mean value of total cost simulation (Rp 28.291/m2) does not differ significantly from while the mean value of the real cost production (Rp 28.554/m2). This introduces error equal to 0.92%. Keywords: Chrysantemum, Monte Carlo, planning, production, simulation
PROSES KREASI PENGETAHUAN DAN KAPABILITAS INOVASI PADA IKM SUKU CADANG BERBAHAN UTAMA KARET Tarwa,Machfud, Kudang Boro Seminar, Ono Suparno
Jurnal Teknologi Industri Pertanian Vol. 26 No. 1 (2016): Jurnal Teknologi Industri Pertanian
Publisher : Department of Agroindustrial Technology, Bogor Agricultural University

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Abstract

SMEs have an important role in the process of industrialization and development of the national economic. Studies of the process of knowledge creation for innovation in small and medium enterprises (SMEs) are still relatively limited. However,  innovation is one of the factors that determine the ability of SMEs to grow and compete. This study aims to identify and analyze the practices of knowledge creation and innovation, as well as to examine the links between knowledge creation and the ability to innovate in the rubber parts based SMEs. The data that will be analyzed in order to achieve the purposes of this research is collected through in-depth interviews, participatory observations, questionnaires, and focus group discussions, with 38 corporate leaders SMEs as the respondents. The analytical method used corrected-item-total-correlation (CITC) and the correlation-product-moment with the help of statistical software. The results showed that the creation of knowledge to the innovation process includes socialization, externalization, combination, and internalization of knowledge. The process of innovation is done in four areas:. The results also showed that the activity’s intensity of the process knowledge creation is correlated positively and significantly related to the capability to innovateproducts, production processes, organization, and marketing. Process socialization, externalization, combination, and internalization of knowledge are jointly contribute to the capability to innovate. Nevertheless, the individual contribution of each process is different. Keywords: innovation capability, knowledge creation, SME
SISTEM PENDUKUNG KEPUTUSAN PENYEDIA DOKUMEN DALAM PENGAJUAN SERTIFIKASI HALAL MENURUT LPPOM-MUI Siti Ulfah Fauziah, Kudang Boro Seminar, Irman Hermadi, Nugraha Edhi Suyatma
Jurnal Teknologi Industri Pertanian Vol. 27 No. 3 (2017): Jurnal Teknologi industri Pertanian
Publisher : Department of Agroindustrial Technology, Bogor Agricultural University

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Abstract

Halal certification is a form of moslem consumer protection to solve halal problems. Acceleration of the submission process depends on accuration and completeness of the proposed requirements document. This research objective was to accelerate the registration process of halal certification, especially on data entry phase of materials which applied into decision support system. Decision support system can be used to determining the supporting documents of materials types. Input to the decision support system were names of materials from the products to be certified. The decision support output came from integration of decision tree analysis with J48 model and critical points of materials which resulted 43 rules. The output from this system consisted of flow process diagram, technical specifications, COA (Certificate of Analysis) or material purchase documents, halal certificate, and blank document. The decision support system had been developed into web-based system using hypertext preprocessor (PHP) programming language and MySQL (My Structured Query Language) database management system.Keywords: decision support system, decision tree halal certification, supporting document of materials, web base
Analisis Data Citra Buah Buahan Dengan Algoritma Fagin Dan Threshold A. Haris Rangkuti; Marimin Marimin; Kudang Boro Seminar
Seminar Nasional Aplikasi Teknologi Informasi (SNATI) 2008
Publisher : Jurusan Teknik Informatika, Fakultas Teknologi Industri, Universitas Islam Indonesia

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Abstract

There are different ways of obtaining and accessing information in a multimedia database thaninformation in a traditional database. For example, in a multimedia database, it might be reasonable to have aquery that asks for, say, the top 10 images that are similar to a fixed image. Beside a multimedia database mightdeal with pictures that have a complicated coloring pattern and that contain a number of shapes. Thesedifferences lead to fundamental differences between multimedia queries and standard relational databasequeries. Unlike the situation in relational databases, where the semantics of a Boolean combination is quiteclear, in multimedia databases it is not at all clear what the semantics is of even the conjunction of atomicqueries. Because of that our experiments on this research show that there are some algorithm support to accessmultimedia database, but two of them what we concern are fagin algorithm and threshold algorithm. For thisresearch there are 2 sides of fruit Citra what we have to concern. There are shape and color of fruit image. Forcolor of fruit we are using histogram function, and for shape of fruit we are using binary image function.Keywords: Multimedia Database, Traditional Database, Fagin algorithm, Threshold algorithm, ColoringPattern, Histogram Function, Binary Image.
PENGARUH BENTUK VISUAL DAN DURASI VIDEO YOUTUBE KAWASAN RUMAH PANGAN LESTARI TERHADAP PENGETAHUAN PETANI Herwindo Dharmawan; Amiruddin Saleh; Kudang Boro Seminar
Jurnal Pengkajian dan Pengembangan Teknologi Pertanian Vol 24, No 1 (2021): Maret 2021
Publisher : Balai Besar Pengkajian dan Pengembangan Teknologi Pertanian

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21082/jpptp.v24n1.2021.p37-46

Abstract

The Effect of Visual Forms and Duration of Youtube Videos of the Sustainable Food House Area on Farmers Knowledge. The research aims to analyze the effect of visual form and the duration of the Kawasan Youtube video The Sustainable Food House Area (SFHA) to increase farmers' knowledge so that the cost of content creation incurred by the institution is commensurate with to the optimal level of adoption of agricultural technology by the community. This research was a purely experimental 2 x 2 factorial and it used a pretest posttest control group design, which was carried out on farmer groups at two different locations, namely Cihasrashas Village, Mulyajarja District, South Bogor and the North Bogor District Office. The experimental subjects were 50 people, who were then divided into five groups. Each group consisted of 10 randomly selected people. The statistical results showed that all combinations of visual forms and the duration of the KRPL Youtube video had an effect on increasing respondents' knowledge. The highest increase in knowledge was obtained from visual-realistic video with long duration (more than three minutes), followed by visual-realistic video with short duration (less than or equal to three minutes), infographic animation video with long duration (more than three minutes). minutes), and the last one is an animated infographic video with a short duration (less than or equal to three minutes). Keywords: farmers’ knowledge, SFHA, visual form, video, Youtube ABSTRAK Penelitian bertujuan untuk menganalisis pengaruh bentuk visual dan durasi video Youtube Kawasan Rumah Pangan Lestari (KRPL) terhadap peningkatan pengetahuan petani, hal ini dimaksudkan agar biaya dalam pembuatan konten yang dikeluarkan institusi sebanding dengan tingkat adopsi inovasi teknologi pertanian oleh masyarakat secara optimal. Penelitian ini merupakan eksperimental murni faktorial 2 x 2 dan menggunakan pretest posttest control group design, yang dilakukan pada kelompok tani pada dua lokasi yang berbeda, yaitu di kampung Cihasrashas, Kecamatan Mulyajarja, Bogor Selatan dan kantor Kecamatan Bogor Utara. Subjek eksperimental berjumlah 50 orang, yang kemudian dibagi dalam lima kelompok. Masing-masing kelompok terdiri dari 10 orang dipilih secara acak. Hasil statistik menunjukkan semua kombinasi bentuk visual dan durasi video Youtube KRPL berpengaruh terhadap peningkatan pengetahuan responden. Peningkatan pengetahuan paling tinggi diperoleh dari video bentuk visual realistik dengan durasi panjang (lebih dari tiga menit), diikuti oleh video bentuk visual realistik dengan durasi pendek (kurang dari atau sama dengan tiga menit), selanjutnya video animasi infografis dengan durasi panjang (lebih dari tiga menit), dan yang terakhir adalah video animasi infografis dengan durasi pendek (kurang dari atau sama dengan tiga menit).Kata kunci: pengetahuan petani, KRPL, bentuk visual, video, Youtube
Identifikasi Kemurnian Daging Berbasis Analisis Citra Nila Susila Yulianti; Kudang Boro Seminar; Joko Hermanianto; Sri Wahjuni
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 8 No 4: Agustus 2021
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jtiik.0813307

Abstract

Daging sapi merupakan salah satu sumber protein hewani yang diperlukan oleh tubuh. Pada tahun 2015 dan 2016 konsumsi daging sapi per kapita sebesar 0,417 kg dan terjadi kenaikan pada tahun 2017 yaitu 12,50 % sebesar 0,469 kg. Sementara harga rata-rata daging sapi di tahun 2015 sebesar Rp 104 747 per kg dan mengalami kenaikan pada tahun 2016 yaitu 8,41 % sebesar Rp 113 555 per kg.  Di tahun 2017 kembali terjadi kenaikan yaitu 2,09 % sebesar 115 932 per kg. Berdasarkan sensus penduduk tahun 2010 mendata jumlah penduduk muslim sebesar 207176162 yaitu 87 % dari total penduduk di Indonesia. Kekhawatiran daging halal sangat penting di negara mayoritas muslim. Metode secara konvensional dengan uji laboratorium untuk mendeteksi daging celeng membutuhkan waktu yang relatif lama, tempat khusus, serta biaya yang relatif mahal. Sementara daging yang diwaspadai dicampur dengan daging babi hutan bisa terjadi di berbagai tempat seperti pasar, retailer serta  distributor yang sepatutnya bisa dideteksi seketika di tempat tersebut secara cepat. Oleh karena itu, diperlukan sistem yang mudah, cepat, dan mudah dibawa untuk mendeteksi daging sapi murni (tanpa campuran daging lainnya) dalam penelitian ini adalah daging celeng.Paper ini membahas metode deteksi daging campuran berbasis citra menggunakan Convolutional Neural Network (CNN) yang dapat dioperasikan di android. Keunggulan metode ini dapat melakukan proses pembelajaran secara mandiri yaitu ekstraksi citra dan klasifikasi, adapun kemampuan lain yang dimiliki yaitu dapat menangani deformasi gambar seperti translasi, rotasi dan skala. Akurasi yang didapatkan dari metode ini yaitu 94 % untuk mendeteksi daging sapi murni, daging celeng murni, dan daging campuran sapi dan celeng. Sementara presisi untuk celeng, campuran dan sapi yaitu 100 %, 90 % dan 95 %. Selain itu, recall untuk celeng, campuran dan sapi yaitu 85 %, 95 %, dan 97,5 %. Prototipe sistem deteksi yang dikembangkan telah diimplementasikan pada platform android dan diuji pada situasi pencahayaan yang masih terkondisikan. Upaya penyempurnaan ke depan adalah menambah fitur sistem pencahayaan  khusus/standar dengan kamera khusus yang memiliki cahaya tambahan yang mengatasi keragaman tingkat pencahayaan di tempat terbuka. AbstractBeef is one of animal protein source that important for human body. In 2015 and 2016 beef consumption per capita was 0.417 kg and it was increasing in 2017 by 12.50 % (i.e., 0.469 kg). While The average price of beef  at Rp 104 747 per kg in 2015 and went up  by 8,41 % at Rp 113 555 per kg in 2016. In 2017, there was an increase by 2,09 % at Rp 115 932 per kg. The increase of beef price average occurred in 2015 amounting to Rp 104 747 per kg and an increase in 2016 that was 8.41% amounting to Rp 113 555 per kg. Based on the population census in 2010 recorded a Muslim population of 207176162 which is 87% of the total population in Indonesia. The concern of halal (lawful) meat is very critical in the muslim majority country. The conventional method with laboratory testing to detect wild boar meat requires a relatively long time, a special place, and a relatively expensive cost. While meat that is mixed with wild boar can happen in various places such as markets, retailers and distributors which can be detected immediately in that place quickly.Therefore, a system that can be easily, quickly and portably used for detecting pure beef (without other mixed meat) in this study is wild boar.  This paper discusses image-based mixed meat detection methods using the Convolutional Neural Network (CNN) that can be operated on android. so the proposed computationally method is Convolutional Neural Network (CNN). The advantages of this method can do the learning process independently, object extraction and classification, while the other capabilities that can handle image deformation such as translation, rotation, and scale. This method yields an overall accuracy of 94% for detecting pure beef, pure wild boar meat, and mixed beef and wild boar. The obtained precision values for wild boar, mixed meat and beef  are by 100 %, 90 % and 95 % respectively. Moreover, the values recall for wild boar, mixed meat and beef are by 85 %, 95 % and 97,5 % respectively. The prototype detection system developed has been implemented on the Android platform and tested in a lighting situation that is still conditioned. A  future effort to improve is providing   special / standard lighting with a special camera that has additional light that can overcome the diversity of levels of exposure in the open areas. 
FAKTOR PENENTU MINAT PENGGUNAAN INSTAGRAM UNTUK PEMBELIAN ONLINE MENGGUNAKAN TECHNOLOGY ACCEPTANCE MODEL (TAM) DAN THEORY OF PLANNED BEHAVIOR (TPB) Bayu Indrayana; Kudang Boro Seminar; Bagus Sartono
Jurnal Aplikasi Bisnis dan Manajemen (JABM) Vol. 2 No. 2 (2016): JABM Vol. 2 No. 2, Mei 2016
Publisher : School of Business, Bogor Agricultural University (SB-IPB)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17358/jabm.2.2.138

Abstract

The objective of this research is to examine the factors that determine the interest in using Instagram in making online purchases. This study also analyzes the pattern of attitude relationship, subjective norms, behavioral control, and uses on interest in using Instagram for online purchases. In addition, the purpose of the research is to analyze whether there are contributions of usability and convenience toward the attitudes and easiness in using the Instagram toward the usage. Data analysis tool used is the structural equation modeling (SEM) which is based technology acceptance model (TAM) and theory of planned behavior (TPB). The results showed that subjective norms significantly influence the interest in using Instagram for online purchases; however, behavior control factors, usability and attitude are not significantly influential. Attitude is a factor that has the greatest influence among other factors. Instagram users from companies/businesses that intend to make use of Instagram as their digital marketing media need to pay attention to aspects of attitudes, subjective norms, behavioral control and usability.Key words: model of technology acceptance, consumer behavior, Structural Equation Modelling (SEM), social media
Co-Authors - Sudradjat, - A. Haris Rangkuti Abdi Kurniawan Abung Supama Wijaya Aditya, Edit Lesa Agik Suprayogi Agus Buono Agus Ghautsun Niam Agus Maulana ahmad yani Akhiruddin Maddu Ali Djamhuri Ali Usman, Ali Alimuddin Alimuddin Alvin Fatikhunnada Amiruddin Saleh Amrozi Annisa Utami Seminar Arief Ramadhan Arif Imam Suroso Arif Kurnia Wijayanto Az Zahra, Fatimah Azka Bazil Danish Rahmat B Mustafa Badollahi Mustafa Bagus Sartono Bayu Ardy Kresna Bayu Indrayana Bonang Waspadadi Ligar Budhi Hascaryo Iskandar Dedy Wirawan Soedibyo Defiana Arnaldy Diki Gita Purnama, Diki Gita Djuara P. Lubis Dodi Nandika Dodik Briawan Drajat Martianto Dwi Susanto Edi Sukmadirana Eneng Tita Tosida Eni Sumarni Eva Maulina Aritonang Evy Damayanthi Faiz Ridhan Faroka Firman Ardiansyah Firmansyah, Raden Arief Gananda Hayardisi Gibtha Fitri Laxmi Hardinsyah Haris Budiman Harry Imantho Hartoyo Herry Suhardiyanto Heru Sukoco Herwindo Dharmawan I Dewa Made Subrata I Wayan Astika Imam Teguh Saptono Imantho, Harry Irman Hermadi Janti G. Sudjana Joko Hermanianto Joko Ratono Joko Ratono Karlisa Priandana koekoeh santoso komariah komariah Kurniawan, Abdi Liyantono . Liyantono, - Lucia Cyrilla Luh Putu Ratna Sundari Maria Margrith Tirtasari Marimin , Melva Linda Aritonang Mohamad Agus Setiawan Mohamad Solahudin Mohammad Aftaf Muhajir Mohammad Solahudin Mokhamad Fakhrul Ulum, Mokhamad Muhammad Firdaus Muhammad Riza Muladno - Muliati, Vika Febri Muyassar Allam Suyuthi Nakao Nomura Nanda, Muhammad Achirul Nasution, Syahrial Nelwan, Leopold Oscar Nila Susila Yulianti Nugraha Edhi Suyatma Oktaviana Purnamasari Onno Widodo Purbo Pradeka Brilyan Purwandoko Pudji Muljono Purwandoko, Pradeka Brilyan Rachma Fitriati Rani Audona RATNA SARI Ridi Arif Rivangga Yuda Hendika Rizky Mulya Sampurno RR. Ella Evrita Hestiandari Rudi Afnan Samudra, Ami Anggraini Sarwititi Sarwoprasodjo Satyanto Krido Saptomo Shelvie Nidya Neyman Sirojul Munir Siska Mulyawaty Sitti Eha Faihah Sofyan Sjaf Sugiyanta Suhendi, - Sumiati Sumiati Suryo Wiyono Sutrisno Mardjan Sutrisno Sutrisno Sutrisno Sutrisno Sutrisno, Sutrisno Syahrial Nasution Taufik Makbullah Triani Rahmawati Usman Ahmad Veranus Sidharta Wawan Hermawan Wawan Wiraatmaja Wichitra Yasya Widodo Widodo Widodo Widodo Yandra Arkeman Yulia Dwi Indriani Yusra Fernando