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Ratri Retno Utami
Politeknik ATK Yogyakarta
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Optimasi Sintesa Ester Maltitol Asam Lemak Dari Minyak Kelapa Sawit Menggunakan Lipase Getah Pepaya sebagai Katalisator Ratri Retno Utami; Alfrida Lullung
Jurnal Riset Teknologi Industri Vol 7 No 13 Juni 2013
Publisher : Balai Riset dan Standardisasi Industri Samarinda

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (7861.194 KB) | DOI: 10.26578/jrti.v7i13.1525

Abstract

Research optimization of the ester Maltlitol Fatty Acid (EMALTAL) synthesis from palm as biosurfactant has been conducted. Papaya latex lipase used as a catalyst in the synthesis. This research aims to study the optimization of biosurfactant synthesis Maltitol Fatty Acid Esters (EMALTAL) from palm oil using papaya latex lipase as a catalyst. Before the synthesis carried out, palm oil is converted into methyl esters Fatty Acids (EMAL). Optimal conditions needed to form EMALTAL determined by Response Surface Method / RSM. To get the optimum conversion EMALTAL synthesis, the reaction is affected by three variables: time, papaya latex lipase levels and temperature as well as the response variable is called the optimum conversion EMALTAL synthesis. By using response surface methods (RSM), the optimal synthesis conditions obtained at a temperature of 0C 39.4490, 53.2440 minutes of time and concentration of crude papaya latex 7.6600% to 28.6806% conversion of surfactant in the form of monoester. Characterization of EMALTAL shows the melting point of 24.5-27oC, 180oC smoke point and refractive index of 1.441. EMALTAL produced a monoester that serves as an emulsifier
STRUKTUR KRISTAL, MORFOLOGI, GUGUS FUNGSI, PROKSIMAT, POLIFENOL, FLAVONOID, TANNIN DAN AKTIVITAS ANTIOKSIDAN DARI BUBUK DAUN MEKAI (Pycnarrhena tumefacta Miers) Miftakhur Rohmah; Bernatal Saragih; Ratri Retno Utami; Kartika Sari; Anton Rahmadi
Jurnal Industri Hasil Perkebunan Vol 17, No 2 (2022): Jurnal Industri Hasil Perkebunan
Publisher : BBSPJI Hasil Perkebunan, Mineral Logam, dan Maritim

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33104/jihp.v17i2.7808

Abstract

Mekai (Pycnarrhena tumefacta Miers) merupakan tanaman yang telah digunakan sebagai penyedap rasa alami oleh masyarakat Dayak Kalimantan Timur secara turun temurun. Penelitian ini bertujuan pengeringan berpengaruh nyata terhadap kadar protein dan kandungan flavonoid, fenol, untuk mengamati struktur kristal, morfologi, gugus fungsi, serta mengukur kandungan proksimat, polifenol, flavonoid, tanin, dan menguji aktivitas antioksidan serbuk daun mekai. Penelitian ini terdiri atas dua faktor yaitu jenis pengering dan waktu pengeringan dengan perbandingan penjemuran di bawah sinar matahari. Perlakuan tanin, dan antioksidan IC50 terhadap radikal 2,2′-azinobis(3-ethylbenzthiazoline-6-sulfonic acid) pada keempat sampel terpilih. Karena teknik pembubukan sampel yang seragam, data difraktogram dari keempat sampel menunjukkan pola pembentukan puncak kristal yang hampir sama. Namun, bentuk kristal yang diamati dengan Scanning Electron Microscope mengungkapkan variasi retak dinding sel karena perbedaan perlakuan panas. Dengan perbesaran 500x dan 300x, beberapa pola retakan dapat diidentifikasi pada empat sampel, antara lain cavity, cracks, flaky microparticles, hollow holes, hollow tubules, ridged, pores, ridges, rupture, ruptured strands, shrinked cavity, and spongy formation. Puncak gugus aktif yang diamati berkisar antara 3500 hingga 2250 cm-1 dan ditafsirkan sebagai gugus hidroksil, metil, hidrokarbon, dan karbonil.
UTILIZATION OF TANNERY SHAVING WASTE FOR MANUFACTURING SYNTHETIC LEATHER Naimah Putri; Ratri Retno Utami
Berkala Penelitian Teknologi Kulit, Sepatu, dan Produk Kulit Vol 23 No 1 (2024): Berkala Penelitian Teknologi Kulit, Sepatu, dan Produk Kulit
Publisher : Politeknik ATK Yogyakarta

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

Abstract

Reusing leather waste is a global challenge in leather processing industry. Utilizing shaving leather waste using cost-effective mechanical methods can be used. Shaving waste is used as a filler for Polyvinyl Chloride (PVC) based synthetic leather. The amount of shaving waste used was varied, f1: 8%, s2: 15%, and f3: 20%. This research was conducted to determine the characteristic of synthetic leather derived from shaving leather waste including organoleptic and mechanical properties. The research method was carried in three stages, first was preparation, second was formulation, and third was testing. Testing is carried out based on the Indonesian National Standard (SNI) 1294;2009. The organoleptic results showed that there were no bubbles, cracks, wrinkles, and stains. The tensile strength values at f1, f2, and f3 were 10,433, 6,614, and 5,557N/mm2. The longitudinal tear strength values f4, f8, dan f12 were 25,972, 42,285, and 58,807N while the transverse tear strength values were 20,197N for f4, 38,009N for f8, and 54,288N for f12. The elongation test results for f4, f8, dan f12 were 54,862, 44,588, and 42,523% respectively. The addition of shaving waste of 8%, 15%, and 20% provides synthetic leather conditions that meet organoleptic and elongation standard. Meanwhile, the tensile strength and tear strength does not meet SNI because there was influence from composition/formulation on of other additives.
The Application of Artificial Intelligence in Waste Classification as an Effort In Plastic Waste Management Listyalina, Latifah; Utami, Ratri Retno; Arifin, Uma Fadzilia; Putri, Naimah
Telematika Vol 21, No 1 (2024): Edisi Februari 2024
Publisher : Jurusan Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31315/telematika.v21i1.11977

Abstract

Purpose: Sorting waste before it is deposited in the Final Disposal Site (TPA) is crucial to reduce the increasing amount of waste accumulation each year. This issue can be addressed by implementing machines capable of automatically sorting waste.Design/methodology/approach: This research is quantitative and utilizes secondary data, namely image data of various types of waste. The images will be classified into organic and inorganic waste using a deep learning model. The measurement conducted involves assessing the accuracy of the designed deep learning model in classifying waste images into appropriate categories.Fondings/results: Based on the available dataset, waste identification will be performed, including food waste, paper, wood, leaves, electronic waste, metal, plastic, and bottles. The overall accuracy of the model is 94.42%, indicating that the model correctly classifies 94.42% of waste samples.Originality/value/state of the art: This research can classify 8 types of waste classes successfully using deep learning.
Pengolahan Sampah Plastik Menjadi Ecobrick Stool Chair di Bank Sampah Bareng Mukti Saputra, Andri; Satwikanitya, Pani; Ellianto, Mario Sarisky Dwi; Pujiyanto, Risang; Hermiyati, Indri; Iswahyuni; Utami, Ratri Retno
Jurnal ETAM Vol. 4 No. 2 (2024): JUNE
Publisher : Politeknik Negeri Samarinda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46964/etam.v4i2.723

Abstract

Sampah plastik di Kalurahan Sidomulyo, Bambanglipuro, Bantul belum dikelola dengan baik, sehingga menimbulkan penumpukan di Bank Sampah Bareng Mukti. Pelatihan ini bertujuan untuk mengedukasi masyarakat Kalurahan Sidomulyo terkait pengolahan sampah plastik menjadi ecobrick stool chair. Pelatihan dilakukan dengan metode sosialisasi dan praktik kepada 16 peserta anggota Bank Sampah Bareng Mukti dan masyarakat Kalurahan Sidomulyo. Evaluasi pelatihan dilakukan dengan metode angket menggunakan kuesioner. Hasil pelatihan menunjukkan bahwa peserta pelatihan mampu membuat ecobrick stool chair dari botol plastik bekas dan sampah plastik lainnya. Ecobrick stool chair disusun berdasarkan modul HexBench. Hasil evaluasi keterserapan materi yang disampaikan selama pelatihan menunjukkan bahwa terjadi peningkatan nilai rerata dari 82,25 (pretest) menjadi 96,06 (posttest). Rerata penilaian yang diberikan oleh peserta terkait materi dan performa instruktur secara keseluruhan adalah lebih dari 90 (sangat baik). Penilaian seluruh aspek kegiatan pelatihan oleh peserta terkait penyelenggaraan pelatihan menunjukkan hasilnya yang baik (rerata di atas nilai 4).
Pemlastis epoksi ester minyak sawit sebagai pengganti epoksi minyak kedelai pada kulit imitasi Utami, Ratri Retno; Satwikanitya, Pani; Saputra, Andri; Syabani, Muh Wahyu; Indahwati, Luthfi Auliya; Ilmannafia, Danuraja
Jurnal Agrotek Ummat Vol 11, No 4 (2024): Jurnal Agrotek Ummat
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/jau.v11i4.26741

Abstract

A plasticizer is a liquid added to synthetic leather materials to make the product softer, more flexible, and easier to process. The development of sustainable plasticizers in this study was achieved using palm oil as the primary raw material. The study aimed to evaluate the application of epoxidized palm oil esters on imitation leather. The epoxidation process used palm oil esters as the base material, with acetic acid, hydrogen peroxide, and amberlite resin as catalysts. The mixture was heated to a temperature of 60 °C and stirred at a speed of 400 rpm for 4 hours. The resulting epoxy oil was then applied to the top layer of imitation leather, and its mechanical properties were tested. Epoxidized palm oil esters replaced 50% and 100% of epoxidized soybean oil the imitation leather. As a control, plasticizers from commercial epoxidized soybean oil were used. The mechanical test results showed that replacing 100% of the epoxidized soybean oil with palm oil esters in synthetic leather did not result in significant differences in longitudinal tensile strength and transverse elongation compared to the control. However, artificial leather with epoxidized palm oil esters demonstrated better tear resistance than the control. Further studies are required to determine the optimal conditions for the epoxidation reaction, fatty acid composition, and stability of epoxidized palm oil esters.
Pelatihan Pemilahan Sampah Plastik di Bank Sampah Bareng Mukti BUMKal Sidomulyo Maju, Bambanglipuro, Bantul Saputra, Andri; Satwikanitya, Pani; Ellianto, Mario Sarisky Dwi; Arief, Diana Ross; Winursito, Isananto; Supomo, Supomo; Arifin, Uma Fadzilia; Wibowo, Midarto Dwi; Suwarno, Yuli; Utami, Ratri Retno
Jurnal Pengabdian Masyarakat AKA Vol 4, No 1 (2024): Juni 2024
Publisher : Politeknik AKA Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55075/jpm-aka.v4i1.235

Abstract

Sampah plastik di Kalurahan Sidomulyo, Bambanglipuro, Bantul belum dikelola dengan baik, sehingga menimbulkan penumpukan di Bank Sampah Bareng Mukti. Pengabdian kepada masyarakat ini bertujuan untuk mengedukasi masyarakat Kalurahan Sidomulyo terkait pemilahan sampah plastik. Pelatihan dilakukan dengan metode sosialisasi dan praktik kepada 16 peserta anggota Bank Sampah Bareng Mukti dan masyarakat Kalurahan Sidomulyo. Evaluasi pelatihan dilakukan dengan metode angket menggunakan kuesioner. Hasil pelatihan menunjukkan bahwa Peserta pelatihan mampu membedakan dan memiliah sampah plastik. Sampah plastik dipilah berdasarkan 7 jenis plastik. Penilaian terhadap pemahaman materi yang diberikan selama pelatihan menunjukkan peningkatan yang signifikan, dimana rata-rata nilai peserta meningkat dari 82,25 pada pre-test menjadi 96,06 pada post-test. Respons peserta terhadap materi dan instruktur sangat positif, dengan rata-rata penilaian keseluruhan mencapai 91,52, menunjukkan tingkat kualitas yang sangat baik. Evaluasi terhadap berbagai aspek pelatihan yang dilakukan oleh peserta juga mencerminkan hasil yang memuaskan, dengan rata-rata penilaian mencapai 4,21.
Pembuatan Produk Plastik Menggunakan Mesin Extrusion Blow Molding Kepada Siswa SMKN 2 Depok Sleman Pani Satwikanitya; Mario Sariski Dwi Ellianto; Andri Saputra; Ratri Retno Utami
Jurnal ETAM Vol. 5 No. 1 (2025): FEBRUARY
Publisher : Politeknik Negeri Samarinda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46964/etam.v5i1.1177

Abstract

Dengan pertumbuhan industri plastik yang semakin pesat tentunya sangat berpengaruh pada kebutuhan tenaga kerja industri. Pelatihan ini bertujuan untuk memberikan bekal keterampilan pembuatan produk plastik dengan menggunakan mesin extrusion blow molding kepada siswa dan siswi SMKN 2 Depok Sleman. Pelatihan dilakukan dengan metode sosialisasi dan praktik kepada 35 peserta siswa dan siswi SMKN 2 Depok Sleman. Evaluasi pelatihan dilakukan dengan metode angket menggunakan kuesioner. Hasil pelatihan menunjukkan bahwa peserta pelatihan mampu membuat produk plastik dengan menggunakan mesin extrusion blow molding. Peserta pelatihan menunjukkan antusiasme dan keaktifan yang tinggi selama kegiatan, serta memberikan umpan balik positif terkait pelaksanaan kegiatan. Hasil evaluasi keterserapan materi yang disampaikan selama pelatihan menunjukkan bahwa terjadi peningkatan nilai rerata dari 60,57 (pretest) menjadi 89,40 (posttest). Penilaian peserta terhadap berbagai aspek pelatihan juga menunjukkan hasil yang baik, dengan rata-rata nilai mencapai 4,45.
The Application of Artificial Intelligence in Waste Classification as an Effort In Plastic Waste Management Listyalina, Latifah; Utami, Ratri Retno; Arifin, Uma Fadzilia; Putri, Naimah
Telematika Vol 21 No 1 (2024): Edisi Pertama 2024
Publisher : Jurusan Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31315/telematika.v21i1.11977

Abstract

Purpose: Sorting waste before it is deposited in the Final Disposal Site (TPA) is crucial to reduce the increasing amount of waste accumulation each year. This issue can be addressed by implementing machines capable of automatically sorting waste.Design/methodology/approach: This research is quantitative and utilizes secondary data, namely image data of various types of waste. The images will be classified into organic and inorganic waste using a deep learning model. The measurement conducted involves assessing the accuracy of the designed deep learning model in classifying waste images into appropriate categories.Fondings/results: Based on the available dataset, waste identification will be performed, including food waste, paper, wood, leaves, electronic waste, metal, plastic, and bottles. The overall accuracy of the model is 94.42%, indicating that the model correctly classifies 94.42% of waste samples.Originality/value/state of the art: This research can classify 8 types of waste classes successfully using deep learning.
Transesterification of Palm Olein to Fatty Acid Methyl Esters (POle-ME) Using Base Catalysts Utami, Ratri Retno; Saputra, Andri; Satwikanitya, Pani; Sya’bani, Muh Wahyu; Warmiati, Warmiati; Indahwati, Luthfi Auliya; Ilmannafia, Danuraja
Journal of Applied Agricultural Science and Technology Vol. 9 No. 3 (2025): Journal of Applied Agricultural Science and Technology
Publisher : Green Engineering Society

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55043/jaast.v9i3.344

Abstract

Palm olein esters are potentially convertible into epoxy oil, which can serve as a plasticizer. Palm olein can be reacted with alcohol in the presence of a base catalyst in a process named transesterification. This study aimed to investigate the application of palm olein to produce fatty acid methyl esters (POLe-ME) using sodium hydroxide and potassium hydroxide as catalysts, which are then evaluated for their potential as plasticizers. The research process involved selecting raw materials based on the iodine and acid numbers. Subsequently, transesterification was conducted using 1% base catalysts. The characterization of POle-ME included evaluating its acid number, iodine number, viscosity, fatty acid composition, and functional groups. The findings indicate that using a molar ratio of oil to methanol of 1:6 and potassium hydroxide as a catalyst achieved the highest yield at 94.99%. The produced POle-ME exhibited a peak at 1436 cm-1, indicating the presence of a methyl ester functional group. The fatty acid composition of POle-ME consisted predominantly of oleic unsaturated fatty acid (C18:1) at 49.13%. Additionally, POle-ME exhibited an iodine number of 60.42, an acid number of 1.395, and a viscosity of 7.16 mPa·s, indicating its potential as a raw material for epoxy oil (plasticizer) production.
Co-Authors -, Baharuddin Abdul Halik Alfrida Lullung Andri Saputra Andri Saputra Anton Rahmadi Apriyanto, Mulono Arief, Diana Ross Arni Pratama Baharuddin Baharuddin Bernatal Saragih Dody Kape Fitriyah, Andi Tenri Hendra Saputra Setiawan Hermiyati, Indri Ilmannafia, Danuraja Indahwati, Luthfi Auliya Isananto Winursito, Isananto Iswahyuni Kadek Rantawan Kartika Sari Listyalina, Latifah M. Mukhlis Afriyanto mario sariski dwi ellianto Mario Sarisky Dwi Ellianto Miftakhur Rohmah, Miftakhur Muh. Wahyu Syabani Naimah Putri Nurhayati, Nurhayati Nurwijayanti Pani Satwikanitya Pujiyanto, Risang Putri, Naimah Ria Armunanto RR. Ella Evrita Hestiandari Satwikanitya, Pani Sri Rahardjo Supomo Supomo Supriyanto Supriyanto Suwarno, Yuli Tristania Pranasari Uma Fadzilia Arifin, Uma Fadzilia Wahyuni Wahyuni Warmiati, Warmiati Wibowo, Midarto Dwi Wiyanto Phillipus Tangkin Yusdianto Yusdianto Zuhrawaty Zuhrawaty