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All Journal JURNAL INSTEK (Informatika Sains dan Teknologi) Jurnal Media Akademik (JMA)
REZA FAISAL
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Religion Humanities Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Social Sciences Other

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PEMANFAATAN EKSTRAK BUNGA KECOMBRANG (ETLINGERA ELATIOR) SEBAGAI ALTERNATIF BAHAN SURFAKTAN DETERGEN GUNA MEMAKSIMALKAN POTENSI TUMBUHAN LOKAL SUMATRA UTARA Dakwan Soaloon Harahap; Teguh Parmonangan Hasibuan; Syawaluddin Nasution; Muhammad Doni Anggara; Reza Faisal
Jurnal Media Akademik (JMA) Vol. 2 No. 1 (2024): JURNAL MEDIA AKADEMIK Edisi Januari
Publisher : PT. Media Akademik Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62281/v2i1.137

Abstract

Detergent is a chemical compound used to wash clothes. Unfortunately, detergents contain the dangerous substance LAS (Linear Alkylbenzene Sulfonate). Detergent waste containing LAS can pollute rivers, thereby hampering Sustainable Development Goal number 6, namely clean water and sanitation, even though many Indonesians still use river water as a source of clean water. Therefore, an environmentally friendly substitute for LAS is needed, such as the saponin contained in the kecombrang plant, which is a local plant from North Sumatra. Saponin is a nonionic surfactant and has the potential to be used as a cleaning agent. From the formulation of the problem, the objectives of this research are: 1) to find out liquid detergent formulations that are environmentally friendly and in accordance with SNI 06-4075-1996 by minimizing the use of LAS and replacing it with kecombrang flower extract from North Sumatra; 2) prove the potential for the saponin content in kecombrang flowers from North Sumatra to be an ingredient in making liquid detergent that can replace LAS. The research uses quantitative analysis chemical methods, namely carrying out formulations in making detergent products. There are four detergent formulations with varying ratios of kecombrang flower extract and LAS of 1:1 (formula 1), 2:1 (formula 2), 3:0 (formula 3), and 0:3 (control formula). Research stages: 1) extraction of kecombrang flowers; 2) making detergent; 3) testing saponins in combrang extract; 4) detergent quality testing. The research results show that formula 1 is recommended as the best formula because it has a pH value of 11.7; specific gravity 0.99 g/ml; as well as organoleptic test results (homogeneous shape, color and distinctive odor) which are in accordance with SNI (Indonesian National Standardization). Combrang extract has also been proven to contain saponin which forms foam, thereby increasing the detergency power of detergent.
PERHITUNGAN OTOMATIS UKURAN UDANG VANAME MENERAPKAN OBJECT DETECTION DENGAN CONVOLUTIONAL NEURAL NETWORK MENGGUNAKAN METODE BIDIRECTIONAL FEATURE PYRAMID NETWORK REZA FAISAL; RIDWAN A. KAMBAU; M. HASRUL H
Jurnal INSTEK (Informatika Sains dan Teknologi) Vol 9 No 1 (2024): APRIL
Publisher : Department of Informatics Engineering, Faculty of Science and Technology, Universitas Islam Negeri Alauddin, Makassar, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24252/instek.v9i1.46420

Abstract

Penelitian ini menyoroti pentingnya udang sebagai komoditas ekspor yang menjanjikan di Indonesia, negara yang dikenal sebagai salah satu pengekspor udang terbesar di dunia. Fokus khusus diberikan pada udang Vaname, yang menonjol karena nilai gizinya yang tinggi. Studi ini menggunakan metode machine learning Bi-FPN (Bidirectional Feature Pyramid Network) dalam arsitektur EfficientDet, yang efektif dalam meningkatkan representasi hierarki fitur dan mengintegrasikan informasi pada berbagai tingkat resolusi. Hal ini memungkinkan deteksi objek yang efisien pada berbagai ukuran dan tingkat kompleksitas. Dalam uji coba sistem, model yang dibuat berhasil mendeteksi udang berukuran kecil dengan tingkat akurasi sebesar 77,3% dari 178 gambar yang terdiri dari 158 gambar pelatihan dan 20 gambar validasi. Penelitian ini menggunakan kerangka kerja Cross Industry Standard for Data Mining (CRISP-DM) untuk perancangan dan pengembangan sistem data mining. Sistem yang dibangun menggunakan bahasa pemrograman Kotlin berbasis Android, menunjukkan kemajuan signifikan dalam pengembangan aplikasi Android untuk sektor perikanan.
Co-Authors Dakwan Soaloon Harahap M. HASRUL H Muhammad Doni Anggara RIDWAN A. KAMBAU Syawaluddin Nasution Teguh Parmonangan Hasibuan