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Kajian Model Agroindustri Padi Berbasis Klaster (Study of Cluster-Based Rice Agroindustry Models) Suismono, Suismono; Rachmat, Ridwan; Somantri, Agus Supriatna; Tjahjohutomo, Rudy
JURNAL PANGAN Vol 22, No 2 (2013): PANGAN
Publisher : Perum BULOG

Penerapan Model Agroindustri Padi berbasis klaster bertujuan untuk menghasilkan beras berkualitas dalam skala besar secara kontinyu. Selama ini kualitas beras yang ada di pasaran sangat beragam, dan secara kuantitatif jumlah beras yang berkualitas masih terbatas, terutama di luar Jawa. Hal ini disebabkan beras yang ada di pasaran disuplai oleh penggilingan skala kecil, menengah dan besar yang beragam kualitasnya, serta adanya manipulasi mutu beras di tingkat penggilingan padi dan pedagang beras. Model agroindustri berbasis klaster dimaksudkan adanya kerjasama antara penggilingan padi skala kecil dan menengah (sebagai klaster) dengan penggilingan padi skala besar (sebagai inti). Pada tahap awal kerjasama difokuskan pada aspek prosesing karena teknologi penggilingan padi skala kecil menengah masih terbatas. Pola kerjasama ini akan menghasilkan beras berkualitas sedang, kemudian diproses lagi oleh penggilingan padi skala besar agar menghasilkan beras berkualitas. Pada tahap selanjutnya, bila penggilingan padi skala kecil-menengah telah mampu menghasilkan beras berkualitas, kerjasama dengan penggilingan padi skala besar dilanjutkan pada aspek pemasaran beras. Kajian penerapan model agroindustri padi berbasis klaster dilakukan di Sulawesi Selatan dan non Klaster di Sulawesi Tenggara. Hasil penerapan model penggilingan padi berbasis klaster pada tahap awal perbaikan teknologi penggilingan padi dapat menghasilkan beras berkualitas premium dalam skala besar.The application of Rice Agroindustry Models-based clusters to produce the quality rice in a large-scale continuously. Rice quality on the market are very diverse, and the quantitative amount of quality rice is still limited, especially outside Java. This is due to the existing of rice in the market is supplied by small-scale, medium and large that produced various quality of rice, as well as the manipulation of the quality rice in rice milling and rice traders. Rice Agroindustry Models-based clusters meant the cooperation between small-scale rice mills and medium (as a cluster) with a large-scale rice milling (the core). In the early stages of cooperation, it is focused on technological aspects of rice processing for small and medium scale rice milling to produce resulting the medium quality rice, then re-processed by the large-scale rice milling that produce the high quality rice. At a later stage, when small-scale rice milling have been able to produce high quality rice, the cooperation with large-scale rice milling is expanded in the rice marketing aspects. Study of the Rice Agroindustry Models-based clusters performed in South Sulawesi and Southeast Sulawesi for non cluster. The results of the application the Rice Agroindustry Models-based clusters in the early stages show that improvement of rice milling technology can produce premium quality rice on a large scale.

Perancangan dan Konstruksi Mesin Sortasi dan Pemutuan Buah Jeruk dengan Sensor Kamera CCD Usman Ahmad; Rudy Tjahjohutomo; Mardison S.
Jurnal Keteknikan Pertanian Vol. 22 No. 1 (2008): Jurnal Keteknikan Pertanian
Publisher : PERTETA

Citrus is one of important fruits in Indonesia and its production increases every year. However, postharvest equipment for citrus is very limited, leading to low postharvest technology utilization. The objective of this research was to develop a real-time quality evaluation system using a color CCO camera, to be used as an image sensor and processing unit for quality evaluation of the citrus from acquired image. The system consists of a color CGO camera, a computer with an image frame grabber, an image acquisition chamber, a logic control panel, and a software to run all the installed hardware Some important parameters of visual quality of citrus were studied. Five groups of different quality of citrus, obtained from a big trader in Pasar Induk Kramatjati, were used for samples. The images were captured and then analyzed with image processing program using area projectio and RGB and HSI color model algorithms, for the fruit size and color respectively. The results were analyzed to determine whether there were parameters that correlates with weight, sweetness and firmness, to be used for quality evaluation. Visual parameters that figures the real quality of citrus best were then selected to be used for quality parameters to develop a real-time quality evaluation system for citrus in the next step.Keywords: image processing, sortasi, pemutuan, otomatis Diterima: 15 Oktober 2007; Disetujui: 18 Pebruari 2008

Kajian Model Agroindustri Padi Berbasis Klaster (Study of Cluster-Based Rice Agroindustry Models) Suismono Suismono; Ridwan Rachmat; Agus Supriatna Somantri; Rudy Tjahjohutomo
JURNAL PANGAN Vol. 22 No. 2 (2013): PANGAN
Publisher : Perum BULOG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33964/jp.v22i2.80

Penerapan Model Agroindustri Padi berbasis klaster bertujuan untuk menghasilkan beras berkualitas dalam skala besar secara kontinyu. Selama ini kualitas beras yang ada di pasaran sangat beragam, dan secara kuantitatif jumlah beras yang berkualitas masih terbatas, terutama di luar Jawa. Hal ini disebabkan beras yang ada di pasaran disuplai oleh penggilingan skala kecil, menengah dan besar yang beragam kualitasnya, serta adanya manipulasi mutu beras di tingkat penggilingan padi dan pedagang beras. Model agroindustri berbasis klaster dimaksudkan adanya kerjasama antara penggilingan padi skala kecil dan menengah (sebagai klaster) dengan penggilingan padi skala besar (sebagai inti). Pada tahap awal kerjasama difokuskan pada aspek prosesing karena teknologi penggilingan padi skala kecil menengah masih terbatas. Pola kerjasama ini akan menghasilkan beras berkualitas sedang, kemudian diproses lagi oleh penggilingan padi skala besar agar menghasilkan beras berkualitas. Pada tahap selanjutnya, bila penggilingan padi skala kecil-menengah telah mampu menghasilkan beras berkualitas, kerjasama dengan penggilingan padi skala besar dilanjutkan pada aspek pemasaran beras. Kajian penerapan model agroindustri padi berbasis klaster dilakukan di Sulawesi Selatan dan non Klaster di Sulawesi Tenggara. Hasil penerapan model penggilingan padi berbasis klaster pada tahap awal perbaikan teknologi penggilingan padi dapat menghasilkan beras berkualitas premium dalam skala besar.The application of Rice Agroindustry Models-based clusters to produce the quality rice in a large-scale continuously. Rice quality on the market are very diverse, and the quantitative amount of quality rice is still limited, especially outside Java. This is due to the existing of rice in the market is supplied by small-scale, medium and large that produced various quality of rice, as well as the manipulation of the quality rice in rice milling and rice traders. Rice Agroindustry Models-based clusters meant the cooperation between small-scale rice mills and medium (as a cluster) with a large-scale rice milling (the core). In the early stages of cooperation, it is focused on technological aspects of rice processing for small and medium scale rice milling to produce resulting the medium quality rice, then re-processed by the large-scale rice milling that produce the high quality rice. At a later stage, when small-scale rice milling have been able to produce high quality rice, the cooperation with large-scale rice milling is expanded in the rice marketing aspects. Study of the Rice Agroindustry Models-based clusters performed in South Sulawesi and Southeast Sulawesi for non cluster. The results of the application the Rice Agroindustry Models-based clusters in the early stages show that improvement of rice milling technology can produce premium quality rice on a large scale.

Karakteristik Fisik dan Kadar Air Cabai Merah (Capsicum annum L.) dengan Variasi Kondisi dan Kemasan Penyimpanan Khoirunnisa; Rohmayanti, Titi; Budiharti, Uning; Tjahjohutomo, Rudy
Karimah Tauhid Vol. 3 No. 6 (2024): Karimah Tauhid
Publisher : Universitas Djuanda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30997/karimahtauhid.v3i6.13518

Cabai merah keriting (Capsicum annum L.) merupakan salah satu komoditas pertanian yang mudah rusak sehingga tidak dapat disimpan untuk waktu yang lama. Salah satu Upaya untuk memperpanjang masa simpan yaitu dengan mengkombinasikan kondisi dengan kemasan penyimpanan. Penelitian ini bertujuan untuk mempelajari pengaruh variasi penyimpanan kondisi ruang (T: 30-35°C, RH: 40-53%), kondisi kulkas (T: 10-15°C, RH: 45-65%) dan kondisi Controlled Atmosphere Storage (CAS, T: 13°C, O2: 5%, CO2: 0,031%, RH: 85-90%) dan kemasan kardus, plastic PP dan keranjang terbuka terhadap kadar air, warna merah (a), ekkerasan dan susut bobot. Penyimpanan ini dilakukan selama 30 hari. Penelitian menggunakan Rancangan Acak Lengkal 2 faktor yaitu kemasan dan kondisi. Data hasil pengukuran dianalisis menggunakan ANOVA dan analisis lanjutan DMRT. Jasil uji menunjukkan bahwa kadar air yang stabil ditunjukkan pada keranjang terbuka dengan kondisi CAS yaitu sebesar 86,58%. Pada uji kekerasan pada penyimpanan kondisi CAS mengalami penurunan lebih sedikit dibandingkan dengan kondisi kulkas dan ruang. Pada uji warna merah (a) pada hari ke-30 yang paling cerah terdapat pada kemasan kardus kondisi kulkas yaitu 36,61 serta pada susut bobot yang memiliki hasil terbaik ada pada penyimpanan kondisi CAS.

A review and bibliometric analysis of traceability system development in the agricultural and food sector in Indonesia Siregar, Yusnan Hasani; Purwandoko, Pradeka Brilyan; Harsonowati, Wiwiek; Nanda, Muhammad Achirul; Tjahjohutomo, Rudy; Budiman, Diana Atma; Rahmawati, Laila; Susanti, Novita Dwi
Indonesian Journal of Electrical Engineering and Computer Science Vol 37, No 2: February 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v37.i2.pp1064-1076

Several technologies and methods for traceability systems in the agriculture and food sectors have developed rapidly in recent decades. There has been an increase in traceability system research in many developing countries, including Indonesia. Our review collects data from the Scopus database to study the development and dynamics of research on traceability systems and to identify emerging technological trends in the field. This paper uses bibliometric analysis by VOSviewer to find out studies regarding traceability. Our findings reveal traceability system research in Indonesia encompasses 1,264 documents within the Scopus database from 1998 to 2022. The number of studies on traceability systems has increased significantly after 2016. Most scholarly articles on traceability technology are disseminated as conference proceedings. These traceability systems have been established and are widely adopted to ensure the quality and safety of agricultural and food products, monitor species diversity, and oversee environmental parameters. The objective of the user influences the development of the traceability system. Technologies such as deoxyribonucleic acid (DNA) barcoding, unmanned aerial vehicles (UAVs), satellites, wireless sensor networks (WSNs), blockchain, product tagging, spectroscopy, and smart packaging rapidly advance to enhance traceability capabilities.

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