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STUDI PENCAMPURAN LABU KUNING (Cucurbita Moschata) DENGAN TEPUNG BERAS TERHADAP KARAKTERISTIK BISKUIT YANG DIHASILKAN Priyono, Eko; Ninsix, Retti; Apriyanto, Mulono
Jurnal Teknologi Pertanian Vol 7, No 1 (2018)
Publisher : Fakultas Pertanian Prodi Teknologi Pangan

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

Tujuan dari penelitian ini adalah bertujuan untuk mengetahui penambahan labu kuning tingkat pencampuran dan penambahan labu kuning terhadap perubahan komposisi kimia (kadar air, kadar abu , dan kadar protein) dan profil sensori yang dihasikan (ketampakan, bau dan rasa, sifat tekstural) biskuit labu kuning yang dihasilkan serta menentukan penambahan labu kuning yang tepat dalam pembuatan biskuit dengan penambahan labu kuning. Rancangan yang digunakan dalam penelitian ini adalah Rancangan Acak Lengkap (RAL) yang terdiri dari 4 perlakuan yaitu, A= (Labu kuning 30 % + Tepung beras 70 %), B= (Labu kuning 40 % + Tepung beras 60 %), C= (Labu kuning 50 % + Tepung beras 50 %), dan D= (Labu kuning 60 % + Tepung beras 40 %). Didalam pelaksanaan penelitian ini tiga tahap yang dilakukan yaitu analiasa biskuit labu kuning kadar air, kadar abu, dan kadar protein. Sehingga mendapatkan biskuit yang diinginkan. Analisa ini dilakukan untuk menentukan dan mengetahui kadar air, kadar abu, kadar protein dan organoleptik (Warna, tekstur, rasa dan aroma). Hasil terbaik biskuit yaitu perlakuan B 40% Labu kuning + 60% Tepung beras. Dengan hasil kadar air 4,80%, kadar abu 0,93% kadar protein 7,00%, nilai warna 3,6%, tekstur 3,7%, rasa 3,95%, dan aroma 3,8%.

STUDI PENCAMPURAN LABU KUNING (Cucurbita Moschata) DENGAN TEPUNG BERAS TERHADAP KARAKTERISTIK BISKUIT YANG DIHASILKAN Priyono, Eko; Ninsix, Retti; Apriyanto, Mulono
JURNAL TEKNOLOGI PERTANIAN Vol 7 No 1 (2018)
Publisher : Prodi Teknologi Pangan Fakultas Pertanian Universitas Islam Indragiri

Tujuan dari penelitian ini adalah bertujuan untuk mengetahui penambahan labu kuning tingkat pencampuran dan penambahan labu kuning terhadap perubahan komposisi kimia (kadar air, kadar abu , dan kadar protein) dan profil sensori yang dihasikan (ketampakan, bau dan rasa, sifat tekstural) biskuit labu kuning yang dihasilkan serta menentukan penambahan labu kuning yang tepat dalam pembuatan biskuit dengan penambahan labu kuning. Rancangan yang digunakan dalam penelitian ini adalah Rancangan Acak Lengkap (RAL) yang terdiri dari 4 perlakuan yaitu, A= (Labu kuning 30 % + Tepung beras 70 %), B= (Labu kuning 40 % + Tepung beras 60 %), C= (Labu kuning 50 % + Tepung beras 50 %), dan D= (Labu kuning 60 % + Tepung beras 40 %). Didalam pelaksanaan penelitian ini tiga tahap yang dilakukan yaitu analiasa biskuit labu kuning kadar air, kadar abu, dan kadar protein. Sehingga mendapatkan biskuit yang diinginkan. Analisa ini dilakukan untuk menentukan dan mengetahui kadar air, kadar abu, kadar protein dan organoleptik (Warna, tekstur, rasa dan aroma). Hasil terbaik biskuit yaitu perlakuan B 40% Labu kuning + 60% Tepung beras. Dengan hasil kadar air 4,80%, kadar abu 0,93% kadar protein 7,00%, nilai warna 3,6%, tekstur 3,7%, rasa 3,95%, dan aroma 3,8%.

ANALISIS KESELAMATAN REAKTOR KARTINI BERDASAR KEJADIAN PEMICU YANG DIPOSTULASIKAN Yohannes Sardjono; Eko Priyono; Syarip Syarip
GANENDRA Majalah IPTEK Nuklir Volume 8 Nomor 2 Juli 2005
Publisher : Website

ANALISIS KESELAMATAN REAKTOR KARTINI BERDASAR KEJADIAN PEMICU YANG DIPOSTULASIKAN.Berdasarkan analisis kejadian pemicu yang dipostulasikan maka ada 8 kejadian yang dipostulasikan (PostulatedInitiating Event) : seperti kehilangan catu daya listrik, kegagalan sistem scram, kehilangan aliran pendingin,kehilangan pendingin, kegagalan transfer cask, kejadian internal/eksternal dan kesalahan manusia. Dari 8 kejadiantersebut, hanya satu kejadian yang menyebabkan terlepasnya bahan radioaktif dari seluruh sistem bahan bakar kelingkungan yaitu kejadian gagalnya sistem pemindah bahan bakar (transfer cask). Urutan kejadiannya adalahtransfer cask jatuh di atas teras reaktor dan mengakibatkan seluruh kelongsong bahan bakar pecah lalu diikutidengan hilangya seluruh air tangki reaktor sehingga seluruh inti hasil belah gas yang ada di celah bahan bakar lepaske lingkungan. Analisis terlepasnya bahan radioaktif ke lingkungan menggunakan paket program dengan bahasaTurbo Pascal dan lama eksekusi 5 menit. Dari hasil analisis diperoleh bahwa dosis radiasi gamma yang diterimaoleh penduduk pada saat 2 jam setelah terjadi kecelakaan pada radius 33 meter adalah 25 rem dan dosis iodinadalah 300 rem berarti proses evakuasi sangat sederhana karena tidak melibatkan penduduk di sekitar kawasanP3TM.

STUDI PENCAMPURAN LABU KUNING (Cucurbita Moschata) DENGAN TEPUNG BERAS TERHADAP KARAKTERISTIK BISKUIT YANG DIHASILKAN Eko Priyono; Retti Ninsix; Mulono Apriyanto
JURNAL TEKNOLOGI PERTANIAN Vol. 7 No. 1 (2018)
Publisher : Prodi Teknologi Pangan Fakultas Pertanian Universitas Islam Indragiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/jtp.v7i1.109

Tujuan dari penelitian ini adalah bertujuan untuk mengetahui penambahan labu kuning tingkat pencampuran dan penambahan labu kuning terhadap perubahan komposisi kimia (kadar air, kadar abu , dan kadar protein) dan profil sensori yang dihasikan (ketampakan, bau dan rasa, sifat tekstural) biskuit labu kuning yang dihasilkan serta menentukan penambahan labu kuning yang tepat dalam pembuatan biskuit dengan penambahan labu kuning. Rancangan yang digunakan dalam penelitian ini adalah Rancangan Acak Lengkap (RAL) yang terdiri dari 4 perlakuan yaitu, A= (Labu kuning 30 % + Tepung beras 70 %), B= (Labu kuning 40 % + Tepung beras 60 %), C= (Labu kuning 50 % + Tepung beras 50 %), dan D= (Labu kuning 60 % + Tepung beras 40 %). Didalam pelaksanaan penelitian ini tiga tahap yang dilakukan yaitu analiasa biskuit labu kuning kadar air, kadar abu, dan kadar protein. Sehingga mendapatkan biskuit yang diinginkan. Analisa ini dilakukan untuk menentukan dan mengetahui kadar air, kadar abu, kadar protein dan organoleptik (Warna, tekstur, rasa dan aroma). Hasil terbaik biskuit yaitu perlakuan B 40% Labu kuning + 60% Tepung beras. Dengan hasil kadar air 4,80%, kadar abu 0,93% kadar protein 7,00%, nilai warna 3,6%, tekstur 3,7%, rasa 3,95%, dan aroma 3,8%.

Aspects of Justice and Legal Certainty in Collecting Carbon Tax Eko Priyono
Budapest International Research and Critics Institute-Journal (BIRCI-Journal) Vol 5, No 3 (2022): Budapest International Research and Critics Institute August
Publisher : Budapest International Research and Critics University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33258/birci.v5i3.6761

The implementation of a carbon tax within rules number 7 of 2021 about the Harmonization of Tax Regulations is believed to be able to control environmental pollution due to carbon emissions while at the same time increasing state revenue. Purchasing carbon and activities that produce carbon emissions are the main targets. Steam power plants (PLTU) as fossil fuel users, become carbon tax subject in the first phase. Other industries that also using fossil fuels have not been given the same tax burden. On the other hand, the imposition of taxes on the purchase of carbon-containing goods causes the levies to be doubled. Every stage of the purchase, from the miner to the user, is taxed at the same rate because it meets the criteria as a buyer of carbon-containing goods. The end user industry is the most affected. Two tax burdens are borne at once. As a buyer of fossil fuels and also as a carbon emissions producer. This normative juridical analysis-based research reveals that the aspects of justice and legal certainty in the imposition of carbon taxes, have not been fulfilled. The unequal treatment of the imposition of carbon taxes has an impact on the level of taxpayer compliance. The imposition of multiple taxes, has an impact on the increase in the cost of production which in turn has an impact on selling prices to consumers. There is a need for stricter and clearer rules to classify the types of purchases that can be subject to a carbon tax, while avoiding double taxation for the same object.

Peran Agen Moderasi Beragama dalam Upaya Peningkatan Kerukunan Umat Beragama Priyono, Eko
JURNAL ILMIAH GEMA PERENCANA Vol 2 No 2 (2023): Jurnal Ilmiah Gema Perencana
Publisher : POKJANAS Bekerja Sama Biro Perencanaan dan Penganggaran, Sekretariat Jenderal Kementerian Agama RI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61860/jigp.v2i3.55

This policy paper reviews religious moderation as one of the Ministry of Religious Affairs priority programs as stated in the Ministry of Religious Affairs’s Strategic Plan for 2020-2024. This paper uses a qualitative method with a descriptive analysis approach, where data is collected, grouped, and analyzed using descriptive analysis. Data shows that starting in 2019, the Ministry of Religious Affairs began pioneering programs to mainstream religious moderation to enlighten in the context of developing religious perspectives, attitudes, and practices with a middle way, creating and building peace, respecting diversity, respecting human dignity, and upholding adab. the glory of human life which is manifested in an attitude of life that is trustworthy, fair, full of compassion, tolerance, without discrimination, and mutual respect for diversity. In efforts to increase religious moderation, religious moderation agents are needed who act as agents who spread important echoes or echoes of the implementation of religious moderation in everyday social life, so that harmony can be created between and among religious communities. Thus, the author recommends strengthening religious moderation not only within the scope of the Ministry of Religious Affairs, Ministries/Institutions, and local governments, but it is also important to create religious moderation agents by involving stakeholders, such as religious leaders and community leaders in society.

Tubercolusis Segmentation Based on X-ray Images Priyono, Eko; Fatah, Teddy Al; Ma’mun, Sukrul; Aziz, Faruq
Journal Medical Informatics Technology Volume 1 No. 4, December 2023
Publisher : SAFE-Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/medinftech.v1i4.22

Tuberculosis or TB is an infectious disease caused by the bacteria Mycobacterium tubercolusis. This disease usually attacks the lungs, but can also affect other organs such as the kidneys, bones and brain. TB is highly contagious, and can spread through the air when someone who is infected coughs or sneezes. Risk factors that can increase a person's chances of developing TB include a weak immune system, such as people with AIDS, diabetes, or people taking immunosuppressant drugs. And people who live or work in environments with high rates of TB transmission are also at risk of infection. Symptoms of TB are usually a cough that lasts more than three weeks, unexplained weight loss, fever, night sweats and persistent fatigue. In more severe cases, TB can cause coughing up blood, chest pain and difficulty breathing. One of the examination tools that can be used to detect TB disease is x-rays. Which produces X-Rays to help and confirm the diagnosis of TB disease, to see the chest part of the body which is used as medical record documentation. In X-ray photos, random dark and light spots of noise are often found which are caused by several factors. Based on the facts above, image segmentation is an important task for doctors in diagnosing disease. Automatic detection or segmentation of lung images from chest x-ray images is the initial stage of the diagnosis process. This research aims to implement a segmentation method to determine edge detection in clearer images using several segmentation methods, namely the Canny Edge Detection method, Sobel reading chest x-ray results for tuberculosis. And canny edge detection with segmented RGB image (otsu's thresholding) produces the highest value, namely 230,466.0 pixels and a lesion volume of 14,818.625 mm3.

Effects of Diet and Physical Activity on Coronary Heart Disease Risk Among Badminton Players Priyono, Eko; Ma'mun, Sukrul
Journal Medical Informatics Technology Volume 2 No. 2, June 2024
Publisher : SAFE-Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/medinftech.v2i2.36

Coronary heart disease is caused by the narrowing or blockage of coronary arteries due to the buildup of fat and cholesterol, which hinders blood flow to the heart. This study aims to determine the relationship between dietary patterns and physical activity with coronary heart disease in the badminton player community in Indonesia. This research uses a cross-sectional design. The sample was taken using accidental sampling, involving 100 badminton players from various clubs in Indonesia. Data were collected using a questionnaire on June 24-27, 2024, and analyzed with SPSS using the chi-square test. The results showed that 100% of respondents did not have coronary heart disease, 64% often consumed carbohydrates, 71% often consumed protein, 71% rarely consumed fat, 56% rarely consumed fiber, 73% rarely consumed cholesterol, and 79% had heavy physical activity. The chi-square test showed a significant relationship between heavy physical activity and a family history of coronary heart disease (p-value = 0.036) and a nearly significant relationship between fat consumption and a family history of coronary heart disease (p-value = 0.066). The odds ratio showed a significant value (p-value = 0.019). These results indicate that there may be a relationship between the variables tested, although the Pearson Chi-Square did not reach conventional significance, requiring further research for confirmation.

Evaluating the Impact of Agricultural Technology on Greenhouse Gas Emissions Using Machine Learning Priyono, Eko; Ispandi, Ispandi; Rusdi, Rusdi
Journal of Information System and Informatics Vol 6 No 4 (2024): December
Publisher : Universitas Bina Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalisi.v6i4.870

Agriculture is a significant contributor to global warming, primarily due to the release of greenhouse gases like methane (CH4) and nitrous oxide (N2O). These gases have a much higher global warming potential than carbon dioxide (CO2), necessitating targeted strategies for their reporting and reduction. This study applies machine learning models, specifically XGBoost and Support Vector Machine (SVM), to evaluate how technological advancements in agriculture influence greenhouse gas emissions. The dataset used includes emission data from various crops and farming technologies. Findings reveal that certain crops considerably elevate emissions, and in some cases, new technologies exacerbate the issue. XGBoost achieved 99.6% accuracy in predicting emission mitigation, proving its effectiveness in developing climate change mitigation plans for agriculture. Support Vector Machine also performed well, with an accuracy of 99.5%. This research underscores the need for precise approaches in managing greenhouse gas emissions through technology-driven policies.

PREDICTION OF TUBERCULOSIS PATIENTS WITH MACHINE LEARNING ALGORITHMS Priyono, Eko
JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Vol 9, No 4 (2024)
Publisher : STKIP PGRI Tulungagung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29100/jipi.v9i4.5486

This research is highly significant because Tuberculosis remains a significant global health issue, and early detection can aid in its more effective management. By employing four different classification algorithms, this study provides a deep understanding of how each algorithm can contribute to Tuberculosis detection. The evaluation of four classification algorithms, namely Logistic Regression (LR), K-Nearest Neighbor (K-NN), Random Forest (RF), and Naive Bayes (NB), in detecting Tuberculosis (TB) was conducted using a dataset comprising various clinical and biological features related to Tuberculosis. The research findings indicate that the Random Forest and K-NN algorithms achieved the highest accuracy of 99.8%, followed by Logistic Regression with 99% accuracy and Naive Bayes. Considering these research findings, the next steps may involve the development of more efficient detection methods based on the combination or enhancement of the evaluated algorithms. Additionally, this research can also serve as a foundation for guiding efforts in early treatment planning for individuals infected with Tuberculosis

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