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POLA PERTUMBUHAN, FAKTOR KONDISI DAN RASIO BERAT DAGING KERANG KIJING (Anodonta woodiana) DI PERAIRAN NANGA-NANGA KOTA KENDARI Maharani, Mega; ., Bahtiar; ., Haslianti
Jurnal Manajemen Sumber Daya Perairan Vol 4, No 3 (2019): Agustus
Publisher : Jurnal Manajemen Sumber Daya Perairan

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

Abstract

Kerang kijing (A.woodiana) merupakan salah satu spesies dari kelas bivalvia, yang terus mengalami penurunan akibat tingginya aktivitas manusia. Penelitian ini bertujuan untuk mengetahui hubungan antara panjang dan berat, faktor kondisi dan rasio berat daging kerang kijing di perairan Sungai Nanga-nanga Kota Kendari. Pengambilan sampel menggunakan metode acak sederhana  (simple random sampling) dengan menempatkan transek yang berukuran 5 x 5 m2. Pengambilan sampel dilakukan secara manual menggunakan tangan. Data yang ditemukan dianalisis secara deskriptif dan kuantitatif. Hasil penelitian menunjukkan bahwa nilai b pada bulan Juli, Agustus, dan September masing-masing yaitu 2,32, 2,10, dan 2,91. Pola pertumbuhan ini bersifat allometrik negatif. Faktor kondisi (Kn) berkisar 0,53%–1,09% dan nilai rasio berat daging (RBD) terhadap kerang kijing berkisar 21,29% – 40,76%.Kata Kunci : Pertumbuhan, faktor kondisi, Anodonta woodiana
Re-Lock: Penerapan Integrasi Smart Lock Menggunakan Image Processing Berbasis Artificial Intelligence Menuju Indonesia Emas 2045 Maharani, Mega; Suhafid, Muh. Zulhamdi
Jurnal Riset Multidisiplin dan Inovasi Teknologi Том 2 № 03 (2024): Jurnal Riset Multidisiplin dan Inovasi Teknologi
Publisher : PT. Riset Press International

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59653/jimat.v2i03.1127

Abstract

Golden Indonesia 2045 is a long-term vision that targets Indonesia to become a developed country with high levels of welfare and security. One important aspect in achieving this vision is the application of advanced technology to support security and efficiency in various sectors. This article aims to discuss the application of smart lock integration using artificial intelligence (AI)-based image processing technology, called “Re-Lock”. Re-Lock technology is designed to enhance physical security through advanced visual identification, allowing access only to authorized individuals based on real-time image analysis. This research adopts a system development method that integrates AI with smart locks, where image processing is used to recognize faces, fingerprints, or certain patterns as a form of identity verification. Case studies were applied to smart home environments and public facilities to test the reliability and efficiency of the system under real conditions. The results show that Re-Lock has a high accuracy rate in identifying individuals and is able to significantly reduce the risk of unauthorized access. In addition, the system is also designed to be easily integrated with existing infrastructure, making it a practical and affordable solution in supporting national security in the digital era. The implementation of Re-Lock is projected to contribute significantly to the achievement of the Golden Indonesia 2045 vision, by making security technology one of the main pillars in the country's development.
PENERAPAN METODE STRAIGHT SELECTION PADA SISTEM PARKIR UNIVERSITAS BINA NUSANTARA Maharani, Mega; Merlina, Nita
Jurnal Pilar Nusa Mandiri Vol 10 No 1 (2014): Pilar Nusa Mandiri : Journal of Computing and Information System Periode Maret 2
Publisher : LPPM Universitas Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (290.6 KB) | DOI: 10.33480/pilar.v10i1.466

Abstract

The parking information System is designed to develop the current system that has been employed at BINA NUSANTARA University. Currently, the parking system is limited only recording the police number and they are still manually looking for the available parking area. The system implements a straight selection sorting data method, also known as the smallest number search method to determine the available parking location. The parking area will be automatically printed at a parking ticket, thus the driver could find it easily. This method also provides accurate data for building management about the available parking area and all data needed about the vehicles that parked at that area. This research is software based on web program using internet access.
FAKTOR YANG MEMPENGARUHI PRODUKTIVITAS LAHAN USAHATANI PADI RAWA LEBAK DI DESA SUNGAI REBO KECAMATAN BANYUASIN I KABUPATEN BANYUASIN Maharani, Mega; Afriyatna, Sisvaberti
Societa: Jurnal Ilmu-Ilmu Agribisnis Vol 13, No 2 (2024): Jurnal Ilmu-Ilmu Agribisnis
Publisher : Universitas Muhammadiyah Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32502/jsct.v13i2.9234

Abstract

ABSTRACTThis research aims to find out the level of productivity of Rawa Lebak rice farming land and to find out the influence of land area factors, the amount of labor, seeds, NPK fertilizer and insecticides on the productivity of Lebak Swamp rice farming land in Sungai Rebo Village, Banyuasin I District, Banyuasin Regency. This research was carried out in Sungai Rebo Village, Banyuasin I District, Banyuasin Regency from February to April 2024. This research was conducted using a survey method. The sampling method used in this research is simple random sampling, with the number of samples taken being 30 people. The data collection methods used in this research are interviews, observation and documentation using tools in the form of questionnaires that have been inserted previously. The data processing method used is using the land productivity formula. The analytical method used is Multiple Linear Regression analysis. The results of this research show that the productivity level of rice farming land is 2,389 Kg/Ha. From the results of the F test, calculated F = 5.438 with ???? = 5% (0.05). This value shows that simultaneously the independent variables (land area, amount of labor, seeds, NPK fertilizer, insecticides) have an influence on productivity (Y). From the t test carried out, only the NPK fertilizer variable (X4) had a significant effect on land productivity, while land area (X1), labor force (X2), seeds (X3), insecticides (X5) had no effect on productivity (Y). ABSTRAKPenelitian ini bertujuan untuk mengetahui bagaimana tingkat produktivitas lahan usahatani padi rawa lebak dan untuk mengetahui bagaimana pengaruh faktor luas lahan, curahan tenaga kerja, benih, pupuk NPK, dan insektisida terhadap produktivitas Lahan usahatani padi rawa lebak di Desa Sungai Rebo Kecamatan Banyuasin I Kabupaten Banyuasin. Penelitian ini dilaksanakan di Desa Sungai Rebo Kecamatan Banyuasin I Kabupaten Banyuasin pada bulan Februari  sampai dengan bulan April 2024. Penelitian ini dilakukan dengan menggunakan metode survei. Metode penarikan contoh yang digunakan dalam penelitian ini yaitu Simple random sampling, dengan jumlah sampel yang diambil yaitu sebanyak 30 orang. Metode pengumpulan data yang digunakan dalam penelitian ini adaah wawancara, observasi dan dokumentasi dengan menggunakan alat bantu berupa kuesioner yang telah disisipkan sebelumnya. Metode pengolahan data yang digunakan yaitu menggunakan rumus produktivitas lahan. Metode analisis yang digunakan adalah analisis Regresi Linear Berganda. Hasil penelitian ini menunjukkan bahwa tingkat produktivitas lahan usahatani padi sebanyak 2.389 Kg/Ha. Dari hasil uji F diperoleh F hitung = 5,438 dengan ???? = 5% (0,05). Nilai ini menunjukkan secara simultan variabel bebas (Luas lahan, curahan tenaga kerja, benih, pupuk NPK, insektisida) memberikan pengaruh terhadap produktivitas (Y). Dari uji t yang dilakukan hanya variabel pupuk NPK (X4), yang berpengaruh signifikan terhadap produktivitas lahan, sedangkan luas lahan (X1), curahan tenaga kerja (X2), benih (X3), insektisida (X5), tidak terdapat pengaruh terhadap produktivitas (Y).