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Bambang Sugiarto
Indonesian Institute of Sciences (LIPI)
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EXTRACTION OF NATURAL COLOR OF BUTTERFLY PEA (CLITORIA TERNATEA L) WITH VARIABLES pH-TEMPERATURE AND CONCENTRATION FOR FOOD COLORING Sugiarto, Bambang; Rirung, Yustin; Ardiyani, Anita Nur; Achmad, Zubaidi
Journal TECHNO Vol. 8 No. 1 (2022): Mei
Publisher : Universitas Pembangunan Nasional Veteran Yogayakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31315/journal techno.v8i1.6364

Abstract

Anthocyanins are chemical compounds contained in a plants. Anthocyanin pigments are water soluble and have pink, red, purple, blue, and yellow colors. Anthocyanins act as a natural food coloring in the form of dry powder or concentrated liquid. The production of anthocyanins from butterfly pea as a natural dye is currently not maximized yet. The anthocyanin extraction process in this study was carried out by heating the butterfly pea using aquadest as a solvent. The purpose of this study is to find the optimum conditions for extracting anthocyanins from butterfly pea, to learn the effect of temperature and pH on the absorbance and color values of the butterfly pea extract with distilled water, as well as its application as a natural dye in food. In this study, it was found out that the optimum concentration was obtained at a ratio of 15 grams:500 ml (weight of butterfly pea:solvent volume) at pH 4. This proves that the concentration will increase along with the increase in the absorbance value. The optimum concentration value occurs at a temperature of 60°C. While the lowest transmittance value was obtained in the sample with a ratio of 15 grams: 500 ml (weight of telang flower: volume of solvent) at pH 4 and a temperature of 60°C. This proves that the transmittance value is inversely proportional to the concentration value. The butterfly pea extract that obtained at pH 4 produced a bluish purple color, pH 5 produced a purplish blue color, pH 6 produced a light blue color, pH 7 produces a blue color, pH 8 produces a bluish green color, and pH 9 produces a green color.
THE OPTIMIZATION OF DRYING IN THE PROCESS OF TAKING GLUCOMMANAN AS PORANG FLOUR (Amorphophallus Spp.) Sugiarto, Bambang; Proklamagita, Angela Merici Herdyana; Hasibuan, Juana Hizkia; Sulistyowati, RR Endang
Journal TECHNO Vol. 9 No. 2 (2023): November
Publisher : Universitas Pembangunan Nasional Veteran Yogayakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31315/journal techno.v9i2.11887

Abstract

Porang (Amorphophallus Spp.) is one of the Indonesian commodities that are full of benefits because they contain glucomannan, but Porang also contains calcium oxalate, which is dangerous if consumed in large quantities so it requires pre-treatment such as immersion. Besides that, immersion also serves to maintain and improve the physical and chemical quality of Porang. In this research, the immersion media used were water, salt solution (NaCl), vinegar solution (CH3COOH) and ethanol. Porang that have gone through the immersion process are then removed from the water content using spinner and then dried using dehydrator. This research used drying temperature variations of 40°C, 45°C, 50°C, 55°C, and 60°C. The purpose of this research was to obtain the optimal drying temperature for the glucomannan content of Porang flour. Glucomannan content was determined using DNS method. The result showed that each immersion media had a different optimal temperature due to the difference in oxalate released.
EFEKTIVITAS ALAT PENGERING DEHIDRATOR TENAGA LISTRIK SEBAGAI ALTERNATIF PENGERINGAN HASIL PERTANIAN SEREH WANGI Sugiarto, Bambang; Mariska Aulia Putri, Indah; Nur Azizah, Isnaini; Wahyu Widayati, Tunjung
Journal TECHNO Vol. 10 No. 1 (2024): Mei
Publisher : Universitas Pembangunan Nasional Veteran Yogayakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31315/journal techno.v10i1.13232

Abstract

Most drying processes in Indonesia still utilize heat from direct sunlight. However, this method is deemed less effective because it is very dependent on the intensity of sunlight (weather) and the time required tends to be long. A drying tool is needed as an alternative that can be used to save drying time. This research aims to determine the efficiency of electrically powered drying equipment using citronella as an agricultural product that is abundant and easy to find. The variables used in this research are material weight with variations of 10, 15, 20, 25, 30 grams and drying time with variations of 10, 15, 20, 25, 30 minutes. The test methods used were air content testing, drying rate testing, mass flow rate testing and drying equipment efficiency testing. The results of the tests that have been carried out, obtained optimal results for the citronella material, namely with a weight variation of 10 grams over a period of 5 hours with the lowest water content of 2%. The efficiency of the electric power dryer was obtained at 65.62%.
IMPLEMENTASI TEKNOLOGI PENGOLAHAN SAMPAH PLASTIK, KARET, DAN STYROFOAM SEBAGAI ENERGI ALTERNATIF Sugiarto, Bambang; Purwanto, Heru Sigit; Irfandi, Fauzan
Dharma: Jurnal Pengabdian Masyarakat Vol. 2 No. 1 (2021): Mei
Publisher : Universitas Pembangunan Nasional "Veteran" Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31315/dlppm.v2i1.4799

Abstract

Household waste, especially plastic, styrofoam and used tires, is a problem for the community because it reduces the quality of the environment. In addition, another problem faced by the community is the increase in household expenditure from consuming fuel for cooking. The community service team tries to overcome both of these problems by implementing waste-to-fuel processing technology. Community service activities include training, mentoring, and providing facilities for processing waste into environmentally friendly fuel. The activity was carried out at the Surolaras Waste Bank, Yogyakarta City. The benefits that are felt are reduced waste, fuel products that can be used for household needs, reduced household expenses, and a well-preserved natural environment.
Kayu7net: Identifikasi dan Evaluasi F-Measure Citra Kayu berbasis Deep Convolutional Neural Network (DCNN) Erwin, Iwan Muhammad; Risnandar, Risnandar; Prakarsa, Esa; Sugiarto, Bambang
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 7 No 6: Desember 2020
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jtiik.2020712663

Abstract

Identifikasi kayu salah satu kebutuhan untuk mendukung pemerintah dan kalangan bisnis kayu untuk melakukan perdagangan kayu secara legal. Keahlian khusus dan waktu yang cukup dibutuhkan untuk memproses identifikasi kayu di laboratorium. Beberapa metodologi penelitian sebelumnya, proses identifikasi kayu masih dengan cara menggabungkan sistem manual menggunakan anatomi DNA kayu. Sedangkan penggunaan sistem komputer diperoleh dari citra penampamg melintang kayu secara proses mikrokopis dan makroskopis. Saat ini, telah berkembang teknologi computer vision dan machine learning untuk mengidentifikasi berbagai jenis objek, salah satunya citra kayu. Penelitian ini berkontribusi dalam mengklasifikasi beberapa spesies kayu yang diperdagangkan menggunakan Deep Convolutional Neural Networks (DCNN). Kebaruan penelitian ini terletak pada arsitektur DCNN yang bernama Kayu7Net. Arsitektur Kayu7Net yang diusulkan memiliki tiga lapisan konvolusi terhadap tujuh spesies dataset citra kayu. Pengujian dengan merubah citra input menjadi berukuran 600×600, 300×300, dan 128×128 piksel serta masing-masing diulang pada epoch 50 dan 100. DCNN yang diusulkan menggunakan fungsi aktivasi ReLU dengan batch size 32. ReLU bersifat lebih konvergen dan cepat saat proses iterasi. Sedangkan Fully-Connected (FC) berjumlah 4 lapisan akan menghasilkan proses training yang lebih efisien. Hasil eksperimen memperlihatkan bahwa Kayu7Net yang diusulkan memiliki nilai akurasi sebesar 95,54%, precision sebesar 95,99%, recall sebesar 95,54%, specificity sebesar 99,26% dan terakhir, nilai F-measure sebesar 95,46%. Hasil ini menunjukkan bahwa arsitektur Kayu7Net lebih unggul sebesar 1,49% pada akurasi, 2,49% pada precision, dan 5,26% pada specificity dibandingkan penelitian sebelumnya. AbstractWood identification is one of the needs to support the government and the wood business community for a legally wood trading system. Special expertise and sufficient time are needed to process wood identification in the laboratory. Some previous research works show that the process of identifying wood combines a manual system using a wood DNA anatomy. While, the use of a computer system is obtained from the wood image of microscopic and macroscopic process. Recently, the latest technology has developed by using the machine learning and computer vision to identify many objects, the one of them is wood image. This research contributes to classify several the traded wood species by using Deep Convolutional Neural Networks (DCNN). The novelty of this research is in the DCNN architecture, namely Kayu7Net. The proposed of Kayu7Net Architecture has three convolution layers of the seven species wood image dataset. The testing changes the wood image input to 600×600, 300×300, and 128×128 pixel, respectively, and each of them repeated until 50 and 100 epoches, respectively. The proposed DCNN uses the ReLU activation function and batch size 32. The ReLU is more convergent and faster during the iteration process. Whereas, the 4 layers of Fully-Connected (FC) will produce a more efficient training process. The experimental results show that the proposed Kayu7Net has an accuracy value of 95.54%, a precision of 95.99%, a recall of 95.54%, a specificity of 99.26% and finally, an F-measure value of 95.46%. These results indicate that Kayu7Net is superior by 1.49% of accuracy, 2.49% of precision, and 5.26% of specificity compared to the previous work.  
Pemberdayaan Masyarakat Dalam Pengelolaan Sampah Di Wukirsari Bantul Yogyakarta Widjanarko, Hendro; Wahyurini, Endah; Sugiarto, Bambang; Dyahjatmayanti, Dhiani; Santosa Utomo, Humam
Dharma: Jurnal Pengabdian Masyarakat Vol. 5 No. 2 (2024): November
Publisher : Universitas Pembangunan Nasional "Veteran" Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31315/dlppm.v5i2.13911

Abstract

Desa Wukirsari Imogiri Bantul menghadapi masalah pengelolaan sampah. Sebagai desa wisata, Wukirsari harus mengelola sampah dengan baik agar destinasi wisata bersih dari sampah. Pengabdian ini bertujuan untuk meningkatkan kemampuan masyarakat dalam mengelola sampah menjadi produk yang bernilai. Pengabdian ini melibatkan Pemerintah Daerah Kabupaten Bantul, Bank BPD DIY, dan didanani dari Kementerian Pendidikan, Kebudayaan, Riset dan Teknologi. Metode yang digunakan adalah pelatihan, transfer teknologi, dan pendampingan. Hasil pengabdian ini adalah produk pupuk organic, hasil penjualan buah melon dan sayuran dari hasil pemanfaatan pupuk organik, serta peningkatan pendapatan. Luaran pengabdian ini adalah publikasi di konferensi internasional, video, publikasi di media massa, dan keberdayaan mitra dalam mengolah sampah dan pertanian organic.
Pengaruh Waktu Ekstraksi Antosianin dari Biji Alpukat (Persea Americana) sebagai Pewarna Alami Achmad, Zubaidi; Sugiarto, Bambang
Prosiding Simposium Nasional Rekayasa Aplikasi Perancangan dan Industri 2019: Prosiding Simposium Nasional Rekayasa Aplikasi Perancangan dan Industri
Publisher : Universitas Muhammadiyah Surakarta

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

Abstract

Kebutuhan zat pewarna saat ini sudah semakin banyak, sehingga zat warna yang dulunya diperoleh dari bahan-bahan alami, seiring berkembangnya teknologi dan pengetahuan, mulai disubstitusi dengan pewarna sintetis agar dapat menekan biaya produksi. Namun selain berbahaya dari segi kesehatan apabila digunakan di industri pangan, zat pewarna sintesis yang digunakan di berbagaimacam jenis industri termasuk tekstil juga dapat memberi dampak buruk bagi lingkungan. Maka bahan baku alami seperti biji buah alpukat masih diperlukan untuk menghasilkan zat warna yang alami serta ramah lingkungan, namun tetap menerapkan ilmu pengetahuan dan perkembangan teknologi. Tujuan penelitian ini adalah untuk mempelajari pengaruh waktu ekstraksi dan perbandingan konsentrasi pelarut terhadap konsentrasi antosianin terekstrak dan mencari kondisi yang relatif baik pada proses uji warna antosianin dengan variable waktu ekstraksi dan perbandingan konsentrasi pelarut. Penelitian telah dilakukan melalui 3 (tiga) tahap yaitu: (i) mengekstraksi antosianin, (ii) memisahkan ekstrak antosianin dengan pelarut, (iii) mewarnai kain dengan ekstrak antosianin yang lebih pekat, (iv) pengujian zat warna antosianin dengan mencucinya dengan deterjen. Analisis konsentrasi antosianin terlarut dilakukan dengan Spektrofotometer UV-Visible untuk mengetahui banyak antosianin yang terlarut dalam larutan deterjen saat dilakukan pencucian kain yang telah diwarnai. Hasil penelitian menunjukkan bahwa percobaan dengan waktu ekstraksi 150 menit dan perbandingan konsentrasi pelarut 1:13 menghasilkan ekstrak antosianin terbesar yaitu 0,10002 ml antosianin/ml pelarut.
PENGARUH RASIO PULLEY TERHADAP BEBAN MAKSIMAL PEMAKAIAN MESIN LISTRIK PORTABEL RAMAH LINGKUNGAN Sugiarto, Bambang
Nozzle : Journal Mechanical Engineering Vol 12, No 2 (2023): Nozzle : Journal Mechanical Engineering
Publisher : Politeknik Harapan Bersama Tegal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30591/nozzle.v12i2.6672

Abstract

Abstract -- Population growth can trigger an increase in the need for electrical energy, but this is not balanced with an increase in the supply of electricity, where the installed power capacity is fixed, while the needs of the community continue to increase and various supporting activities. Such conditions encourage the search and study of the use of new energy sources, which are renewable, environmentally friendly, and environmentally friendly which aim to produce electricity without any assistance from BBM and are expected to provide convenience in obtaining electricity. , by utilizing a 12 volt, 75 Ah battery / battery, a 12 volt dc alternator equipped with an inverter with a voltage of 1500 watts to convert DC current to AC, 500 watt ac driving dynamo, pulley with a ratio of 1,333 : 1 inch. The test was carried out with a variation of the pulley ratio of 1,333 : 1 inch, the maximum load material tested was using a 50 watt, 100 watt, 200 watt, 250 watt, 300 watt, 350 watt, 380 watt light bulb. Based on the test data using the maximum load with a pulley ratio of 1,333: 1 inch for 380 watts, the voltage drop can reach 11.4 volts more than the maximum load the portable electric machine does not work optimally. This causes the alternator to not be able to issue an electric voltage of more than 12 volts for the battery charging process, so that the inventor cannot work properly which results in a low inverter output voltage unable to provide electric current to the propulsion motor.
Decreasing Of Oxalate Content in Porang Based on Different Sample Shape, Soaking Time, Temperature, and Soaking Solutions Sugiarto, Bambang; Sulistyowati, RR Endang; Dewi, Cicilia Tri Marantika; Hendranto, Rahadian Yogi
Eksergi Vol 20 No 3 (2023)
Publisher : Prodi Teknik Kimia, Fakultas Teknik Industri, UPN "Veteran" Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31315/e.v20i3.9269

Abstract

Porang, known for its high oxalate content that poses digestive challenges, served as the underlying problem in this study. The research investigated the impact of immersion conditions on oxalate reduction in porang, both in the form of longitudinal slices and diced pieces, using various soaking media, including vinegar, alcohol, and water, with temperature variations. The study identified that the optimal immersion time for achieving maximum oxalate reduction in longitudinal slices was 150 minutes at 50°C in water, resulting in a 0.00495% decrease. In the case of diced porang, the most significant reduction occurred after 120 minutes at 70°C in alcohol, leading to a 0.0045% decrease. These findings shed light on the influence of porang shape and soaking conditions on oxalate release, with diced porang demonstrating faster oxalate reduction, likely due to its smaller surface area. The study offers valuable insights into effectively reducing oxalate levels in porang, contributing to safer consumption.
Implementasi Convolutional Neural Network (CNN) untuk Klasifikasi Ikan Cupang Berbasis Mobile Syech Ahmad, Mochamad Taufik Ali; Sugiarto, Bambang
Digital Transformation Technology Vol. 3 No. 2 (2023): Artikel Periode September 2023
Publisher : Information Technology and Science(ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/digitech.v3i2.3245

Abstract

Ikan Cupang (Betta Fish) merupakan jenis ikan hias air tawar yang banyak disukai oleh berbagai kalangan baik dari anak-anak hingga orang dewasa. Ikan cupang merupakan ikan hias yang mudah dipelihara sehingga perkembangan ikan cupang begitu pesat. Tetapi hingga saat ini belum adanya klasifikasi ikan cupang yang cepat dan mudah digunakan oleh pengguna. Penelitian ini bertujuan untuk mengembangkan perangkat lunak yang dapat memudahkan para penjual dan penggemar ikan hias untuk mendeteksi jenis ikan dengan cepat karena berbasis mobile. Pada penelitian ini digunakan metode Convolutional Neural Network (CNN) dengan menggunakan model VGG16 sebagai metode klasifikasinya. Model VGG16 yang telah dimodifikasi ini bertujuan untuk mengurangi jumlah dari parameter yang tinggi dan membuat model menjadi ringan saat dijalankan. Hasil pengujian menunjukkan bahwa akurasi tertinggi didapat oleh Ikan Cupang Big Ear dengan total akurasi 94,35%. Untuk ikan cupang Nemo mempunyai akurasi 86,24%. Sedangkan ikan cupang Serit dan Halfmoon masing-masing sebesar 84,56 % dan 78,85%. Akurasi terkecil didapatkan oeh Ikan Cupang Bluerim dengan hasil 74,44%.
Co-Authors Achmad, Zubaidi Adawiah, Lulu Robiatul Ade Kurniawan Agama, Askar Adika Ahmad Hasyim Amaria Amaria Anggarani, Riesta Ardiyani, Anita Nur Auzani, Ahmad Syihan Bagusputra, Argan Imam Bustanul Arifin Christy Atika Sari Dendi, Dede Dewanata, Rachman Pandu Dewi, Cicilia Tri Marantika Dhiani Dyahjatmayanti Dwi Mulya, Okta Endah Wahyurini, Endah ENDANG SUSANTINI Erwin, Iwan Muhammad Fatchurohman, Dedi Fatman, Yenni Frans Setiawan, Frans G.M. Lucki Junursyah, G.M. Lucki Gunawan Gunawan Gunawansyah Gunawansyah, Gunawansyah Handayani, Sri Hanifuddin, M Hapsari, Nani Sarah Hasibuan, Juana Hizkia Haviani Laluma, Riffa Hendranto, Rahadian Yogi Hendrawan, Rizqi Ainur Hendro Widjanarko Hermawan, Angga Dimas Heru Sigit Purwanto Ikhsan, Akhmad Fauzi Ilham Ramadhan, Muhammad Ghiffaari Indra Sakti Indyo Pratomo Iqbal, Fahmi Mohamad Irfandi, Fauzan Isnaini Nur Azizah, Isnaini Ivany Sarief, Ivany Kusnadi Kusuma, Heri Septya Lucki Junursyah, G.M Mariska Aulia Putri, Indah Merdeka Putri, Wulandari Pancadasa Mokhtar, Mokhtar Muchlis Muchlis Nathaniel, Adriel Ningsih, Ristati Nugraha, Muhammad Fauzi Nur, Salsabila Nuraini Sukmana, Rini Nurfitriani, Nisa Nurholis Majid, Nurholis Nursetyo, Arif Nyamiati, Retno Dwi Petrus Sokibi, Petrus PRABOWO Prakarsa, Esa Praromadani, Zulimatul Safa'ah Prasetya, Angga Proklamagita, Angela Merici Herdyana Putri, Sari Rahmawati Ramadhan, Zulqy Fazrie Ramdhani, Muhamad Deris Riffa Haviani Laluma Rirung, Yustin Risnandar, Risnandar Rizqon Fajar Rokhis, Tria Ainur Rukmana, Ade Samidi Samidi, Samidi Santosa Utomo, Humam Saputra, Krisna Arga Septian Chairulsyah, Defti Setyawan, Tri Aji Sifa Nurpadillah Sri Poedjiastoeti Sulistyowati, RR Endang Suranto Suranto SUYONO Suyono Suyono Syahrizal, Adyanto Syech Ahmad, Mochamad Taufik Ali Taufik Suryantoro, Taufik Taufiqurrahman, Muhammad Faja Tiara, Dinda Raihan Tunjung Wahyu Widayati Tuqa, Eka Tina Nur Ula Ummi Kalsum Wellia Shinta Sari Wibowo, Cahyo Setyo Widayati, Tunjung Wahyu Wiharko, Teguh Wiharso, Tri Arif Wirawan, Kristuaji Andre Wulandari, Amelia Puspita Yuliana, Siska Yulianto Sulistyo Nugroho