Harmami Harmami
Fakultas Matematika dan Ilmu Pengetahuan Alam, Institut Teknologi Sepuluh Nopember (ITS) Jl. Arief Rahman Hakim, Surabaya 60111 Indonesia

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Budidaya Cabai Besar di Lahan Tidak Produktif Desa Keputih, Kecamatan Sukolilo, Kota Surabaya dengan Teknik Hidroponik Sistem Irigasi Tetes: Upaya Memberdayakan Kelompok Ibu-ibu PKK Sugiarso, Djarot; Juwono, Hendro; Harmami, Harmami; Ulfin, Ita; Ni'mah, Yatim Lailun; Manuhara, Yosephine Sri Wulan
Sewagati Vol 8 No 3 (2024)
Publisher : Pusat Publikasi ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j26139960.v8i3.947

Abstract

Budidaya cabai besar menggunakan teknik hidroponik sistem irigasi tetes diterapkan dalam kegiatan Pengabdian kepada Masyarakat (PkM) di Kelurahan Keputih, Kecamatan Sukolilo, Kota Surabaya dengan latar belakang adanya lahan tidak produktif di desa tersebut dan Ibu-ibu PKK sebagai mitra. Teknik penanaman menggunakan metode hidroponik dapat mengatasi kondisi lahan yang tidak subur, karena metode ini menggunakan nutrisi yang terlarut dalam media air, sehingga tidak membutuhkan media tanam padat (tanah). Budidaya cabai besar dilakukan di dalam rumah kaca ukuran 6 x 12 m (72 m2) agar tanaman tidak terpapar hama. Kerangka rumah kaca terbuat dari kanal c75 galvalum. Atap rumah kaca adalah plastik UV tebal 250 µ, 14%; sedangkan untuk menutup rumah kaca digunakan insect net. Selanjutkan kegiatan PkM dilanjutkan dengan pelatihan dan praktek hidroponik system irigasi tetes. Hasil kegiatan pengabdian kepada Masyarakat menunjukkan keterlibatan Ibu-ibu PKK dalam seluruh kegiatan dan hasil budidaya cabai besar menghasilkan cabai besar yang layak jual, sehingga diharapkan pengetahuan yang diberikan dalam kegiatan pengabdian kepada Masyarakat ini dapat meningkatkan pendapatan.
Synthesis and Characterization of Aluminosilicate Catalysts from Volcano Mud for Biofuel Production with Different Feedstocks Hartati, Hartati; A'yuni, Qurrota; Dewi, Nita Safira; Firda, Putri Bintang Dea; Izzah, Adiba Naila; Prasetyoko, Didik; Harmami, Harmami; Ahmad, Shahrul Nizam
Indonesian Journal of Chemistry Vol 24, No 6 (2024)
Publisher : Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ijc.96149

Abstract

The increasing awareness of sustainable development goals has led to the intensive development of biofuel as a substitute for fossil fuels. This study investigates the potency of volcano mud (VM) as the precursor in synthesizing aluminosilicate catalysts for biofuel production. Three catalysts were synthesized, A3, A3T, and A5, in a manner to investigate the effect of tetrapropylammonium hydroxide (TPAOH) addition and hydrothermal time on the crystallinity, Si/Al ratio, and textural properties of the catalysts. The catalytic activity of the synthesized catalysts was evaluated in two different qualities of feedstock, i.e., oleic acid (OA) and waste cooking oil (WCO). It is found that A5 which is synthesized with longer hydrothermal of 5 h has desirable properties, a high mesoporous surface area of 159 m2/g, and a high acidity of 0.263 mmol/g. Catalyst A5 is proven to have similarly high catalytic activity in both WCO and OA feedstock, achieving a liquid yield of 93% with FAME selectivity of 95% for WCO and 95% liquid yield and FAME selectivity of 99% for OA feedstock. These results suggest that A5 is a versatile catalyst in biofuel production from either high or low-quality feedstocks.
Halal Certification of Food and BeverageMSME’s Products in the Pacarkeling Area, Surabaya Rakhmawati, Nur Aini; Indraswari, Rarasmaya; Ulfin, Ita; Harmami, Harmami; Rahadiantino, Lienggar; Qadariyah, Lailatul
Berdikari: Jurnal Inovasi dan Penerapan Ipteks Vol. 13 No. 1: February 2025
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/berdikari.v13i1.23581

Abstract

This article is based on the Community Service (Kuliah Kerja Nyata / KKN) program, which was held to help solve the problems faced by MSMEs (micro, small, and medium enterprises) from the aspect of halal products certification, especially in the Pacarkeling area, Surabaya. In this program, we assist MSMEs in carrying out certification and com pleting documents so that MSMEs can apply for halal certification. Activities in this pro gram begin with assistant training, follow-up on MSMEs, training of prospective supervi sors, creating SJPH (Sistem Jaminan Produk Halal) documents, inputting data to SIHALAL, verification and validation, and finally, creating reports and documentation. In this pa per, the case study of the MSME assisted in this program is Canda, which runs in the food and beverage sector and sells ready-to-consume beverage products. The KKN team in this program intensively assists the MSMEs from the preparation stage until the announcement of halal certification. This KKN activity is documented in the form of news, digital documentation, articles, and videos of community community service. The result of this KKN activity is the Halal certification of the MSMEs in the Pacarkeling area, Surabaya
The Identification of Acetic Acid-Ethanol Mixture Using Gas Sensor Array and Ensemble Regression Suprapto, Suprapto; Yatim Lailun Ni'mah; Harmami, Harmami; Ulfin, Ita; Ardiyanti, Annisa
Indonesian Journal of Chemical Analysis (IJCA) Vol. 7 No. 1 (2024): Indonesian Journal of Chemical Analysis
Publisher : Universitas Islam Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20885/ijca.vol7.iss1.art1

Abstract

Identification of acetic acid-ethanol mixtures using a commercial gas sensor array equipped with ensemble regression has been carried out. The gas sensor analysis was simple, rapid, and fast since it did not require any sample preparation. A quantitative analysis of the acetic acid-ethanol mixture was carried out to determine the sensitivity and selectivity of the sensor in distinguishing the concentration of the acetic acid and ethanol mixture. This study focuses on the coefficient of determination of 80% of the calibration data set and recovery of 20% of the testing data set. The models showed excellent performance,specifically, the Bagging and Random Forest r2 for the ethanol calibration data reached 0.91 and 0.94, respectively. The corresponding ethanol test recoveries were 99.95% and 97.84%, indicating the robustness of the model in accurately predicting ethanol concentration. Acetic acid test recoveries were 100.56% and 101.38% with r2 of 0.89 and 0.93 for Bagging and Random Forest regression, respectively. Hence, the commercial gas sensor array equipped with ensemble regression can be applied to the quantification of the acetic acid – ethanol mixture and demonstrate opportunities for the practical use of this gas sensor array in analyzing real samples, i.e. human breath or environmental monitoring samples.