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All Journal Jurnal Online Mahasiswa (JOM) Bidang Keguruan dan Ilmu Pendidikan Jurnal Ilmiah MTG METHODIKA: Jurnal Teknik Informatika dan Sistem Informasi JIAR : Journal Of International Accounting Research Datum: Journal of Geodesy and Geomatics
Sri Ayu Ningsih
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Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Energy Engineering Environmental Science Industrial & Manufacturing Engineering Social Sciences

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MOTIVASI SANTRI MASUK KE PONDOK PESANTREN DAR EL HIKMAH KELURAHAN SIMPANG BARU KECAMATAN TAMPAN PEKANBARU PROVINSI RIAU Ningsih, Sri Ayu; Maemunaty, Titi; Jas, Jaspar
Jurnal Online Mahasiswa (JOM) Bidang Keguruan dan Ilmu Pendidikan Vol 7, No 2 (2020): EDISI 2 JULI-DESEMBER 2020
Publisher : Jurnal Online Mahasiswa (JOM) Bidang Keguruan dan Ilmu Pendidikan

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Abstract

Abstract: The formulation of the problem in this study is which is the most dominant between intrinsic and extrinsic motivation which causes students to enter Dar El Hikmah Islamic boarding school, Simpang Baru Village, Tampan District, Pekanbaru, Riau Province? The purpose of this study was to determine the most dominant between intrinsic and extrinsic motivations that led to students entering the Dar El Hikmah Islamic Boarding School, Simpang Baru Village, Tampan District, Pekanbaru, Riau Province. This research is descriptive with a quantitative approach. The population in this study were 564 people. Sampling in this study using purposive sampling technique. The data research instrument was a questionnaire with 73 statements of Weight for each answer for Very True (SB) with a score of 4, True (B) with a score of 3, Quite True (CB) with a score of 2, Not True (KB) with a score of 1. Results From the research findings on 2 (two) indicators it can be concluded that these indicators are classified as High Enough. Evidenced by the recapitulation presentation of the percentage of motivation to enter Dar El Hikmah Islamic Boarding School, the overall indicators are: (1) Intrinsic Motivation with a percentage of 63%, (2) Extrinsic Motivation with a percentage of 52%. The meaning is that the motivation of the students to enter the Dar El Hikmah Islamic Boarding School, Simpang Baru Village, Tampan District, Pekanbaru, Riau Province, is quite high.Key words: Students' motivation, Islamic boarding school
EKSPLORASI AWAL NIKEL LATERIT DI DESA LAMONTOLI DAN LALEMO, KECAMATAN BUNGKU SELATAN, KABUPATEN MOROWALI, PROPINSI SULAWESI TENGAH Sri Ayu Ningsih
Jurnal Ilmiah MTG Vol 5, No 2 (2012)
Publisher : Jurusan Teknik Geologi Fakultas Teknologi Mineral UPN "Veteran" Yogyakarta

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Abstract

Daerah eksplorasi termasuk kedalam wilayah administrasi Desa Lalemo (UTM 0436240, 9652332) dan Desa Lamontoli (UTM0433380, 9652752) Kecamatan Bungku selatan, Kabupaten Morowali, Sulawesi Tengah. Dilihat dari hasil analisis laboratorium kadar nikel di block A yang tertinggi terdapat pada titik A12 yaitu 1,22 berada pada kedalaman 3 m, dari hasil pengeboran di 4 titik lokasi, kadarnya rendah dengan kedalamannya yang relatif dangkal. Berdasarkan sampel dari handauger dan Tes Pit, maka diketahui kadar nikel untuk block B cukup tinggi karena ada yang memenuhi standar diatas 1,8 sehingga memenuhi syarat untuk dilakukan eksploitasi. Setelah melakukan survey tinjau, terdapat banyak singkapan batuan serpentine yang tersingkap diatas permukaan yang sudah mengalami pelapukan tingkat tinggi. Sedangkan untuk block C perlu dipertimbangan lagi karena kadarnya relatif rendah, hanya ada beberapa sumur yang sudah memenuhi standar yaitu diatas 1,8.Kata-kata kunci : kadar nikel, handauger, Tes Pit, batuan serpentine.
ANALISIS KINERJA KEUANGAN SERTA KEMAMPUAN KEUANGAN PEMERINTAH DAERAH DALAM PELAKSANAAN OTONOMI DAERAH KABUPATEN BUTON UTARA Ningsih, Sri Ayu
JIAR : Journal Of International Accounting Research Vol 1 No 01 (2022): JIAR : Journal Of International Accounting Research
Publisher : Pusat Studi Ekonomi Publikasi Ilmiah dan Pengembangan SDM Azramedia indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62668/jiar.v1i01.118

Abstract

Regional autonomy is a first step towards national economic development more powerful high growth by providing a better life for the community area. In carrying autonomous region, the regional government to run the government are required for effective, efficient and able to push the role of communities and improving equity and justice by developing the entire potential of each region. This study aims to determine the financial capacity in the implementation of regional autonomy and the level of independent. This study uses secondary data by taking locations in the Buton Utara district of west by using the calculation data of the regional revenue and expenditure budget (APBD) for the regency for the period 2015-2018. The analytical method used is quantitative descriptive analysis method which is then analyzed using growth ratio, independence ratio and contribution ratio. The results of the descriptive analysis generally show that is unable to process local revenue (PAD) which causes the independence to be very low. For the reason, it is hoped that the regency government will further improve the managent of regional revenues so that the growth of PAD sources continues to increase.
PENERAPAN ALGORITMA YOLO UNTUK MENDETEKSI KUALITAS TELUR AYAM BERDASARKAN WARNA CANGKANG Sri Ayu Ningsih; Resti Ajeng Sutiani; Ni Made Sri Ulandari; Rizal Adi Saputra
METHODIKA: Jurnal Teknik Informatika dan Sistem Informasi Vol. 10 No. 2 (2024): Volume 10 Nomor 2
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/mtk.v10i2.3062

Abstract

In the poultry industry, chicken egg quality is a crucial factor influencing the price and market appeal of the product. Manual assessment of egg quality based on shell color requires significant time and labor and is prone to human error. Therefore, the implementation of automation technology through artificial intelligence (AI) is necessary to enhance the efficiency and accuracy of this process. The YOLO (You Only Look Once) algorithm is a fast and accurate object detection method that can be applied to classify chicken eggs based on shell color. This research aims to develop an automatic detection system using YOLO to identify and categorize the quality of chicken eggs based on shell color. Images of chicken eggs were collected and annotated to train the YOLO model. After training, the model was tested on a new dataset to evaluate its detection and classification performance. The results of the study indicate that the YOLO algorithm can detect and classify chicken eggs with high accuracy, reducing the need for manual labor and speeding up the quality assessment process. The implementation of this system is expected to improve operational efficiency in the poultry industry, ensure consistent product quality, and provide an innovative solution to the challenges in chicken egg quality assessment.
ANALISIS KINERJA KEUANGAN SERTA KEMAMPUAN KEUANGAN PEMERINTAH DAERAH DALAM PELAKSANAAN OTONOMI DAERAH KABUPATEN BUTON UTARA Ningsih, Sri Ayu
JIAR : Journal Of International Accounting Research Vol 1 No 01 (2022): JIAR : Journal Of International Accounting Research
Publisher : Pusat Studi Ekonomi Publikasi Ilmiah dan Pengembangan SDM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62668/jiar.v1i01.118

Abstract

Regional autonomy is a first step towards national economic development more powerful high growth by providing a better life for the community area. In carrying autonomous region, the regional government to run the government are required for effective, efficient and able to push the role of communities and improving equity and justice by developing the entire potential of each region. This study aims to determine the financial capacity in the implementation of regional autonomy and the level of independent. This study uses secondary data by taking locations in the Buton Utara district of west by using the calculation data of the regional revenue and expenditure budget (APBD) for the regency for the period 2015-2018. The analytical method used is quantitative descriptive analysis method which is then analyzed using growth ratio, independence ratio and contribution ratio. The results of the descriptive analysis generally show that is unable to process local revenue (PAD) which causes the independence to be very low. For the reason, it is hoped that the regency government will further improve the managent of regional revenues so that the growth of PAD sources continues to increase.
PENERAPAN ALGORITMA YOLO UNTUK MENDETEKSI KUALITAS TELUR AYAM BERDASARKAN WARNA CANGKANG Sri Ayu Ningsih; Resti Ajeng Sutiani; Ni Made Sri Ulandari; Rizal Adi Saputra
METHODIKA: Jurnal Teknik Informatika dan Sistem Informasi Vol. 10 No. 2 (2024): Volume 10 Nomor 2
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/mtk.v10i2.3062

Abstract

In the poultry industry, chicken egg quality is a crucial factor influencing the price and market appeal of the product. Manual assessment of egg quality based on shell color requires significant time and labor and is prone to human error. Therefore, the implementation of automation technology through artificial intelligence (AI) is necessary to enhance the efficiency and accuracy of this process. The YOLO (You Only Look Once) algorithm is a fast and accurate object detection method that can be applied to classify chicken eggs based on shell color. This research aims to develop an automatic detection system using YOLO to identify and categorize the quality of chicken eggs based on shell color. Images of chicken eggs were collected and annotated to train the YOLO model. After training, the model was tested on a new dataset to evaluate its detection and classification performance. The results of the study indicate that the YOLO algorithm can detect and classify chicken eggs with high accuracy, reducing the need for manual labor and speeding up the quality assessment process. The implementation of this system is expected to improve operational efficiency in the poultry industry, ensure consistent product quality, and provide an innovative solution to the challenges in chicken egg quality assessment.
ANALISA DEFORMASI SELAT SUNDA PRA DAN PASCA ERUPSI GUNUNG ANAK KRAKATAU 22 DESEMBER 2018 BERDASARKAN DATA CORS-BIG Ningsih, Sri Ayu; Murdapa, Fauzan; Rahmadi, Eko
Datum: Journal of Geodesy and Geomatics Vol. 1 No. 02 (2021): Jurnal Datum Geodesi dan Geomatika
Publisher : Department of Geodesy and Geomatics, University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/datum.v1i02.2087

Abstract

Selat Sunda merupakan selat yang menghubungkan Pulau Jawa dan Pulau Sumatera. Pada selat ini terdapat gunung api yang aktif yaitu AnakKrakatau. Pada 22 Desember 2018 Gunung Anak Krakatau mengalami erupsi dan terjadi longsoran bawah laut sekitar 64 hektar. Berdasarkan kejadian tersebut, maka perlu dilakukannya penelitian mengenai deformasi yang terjadi di wilayah Selat Sunda sebelum dan sesudah erupsi.Penelitian ini berfokus pada penentuan kecepatan pergeseran dan regangan menggunakan data pengamatan titik CORS di sekitar Selat Sunda yang dikelola oleh BIG. Pengolahan data menggunakan software GAMIT.Uji statistik bertujuan untuk mengetahui sebelum dan sesudah erupsi Gunung Anak Krakatau, Selat Sunda mengalami perubahan pola pergeseran secara signifikan atau tidak.Hasil penelitian ini adalah, vektor pergeseran Selat Sunda sebelum dan sesudah erupsi, yang masih dipengaruhi Blok Sunda dominan ke arah Timur, dengan besar pergeseran sebelum erupsi 6,477 mm/tahun sampai 28,058 mm/tahun, sedangkan sesudah erupsi 14,309 mm/tahun sampai 23,774 mm/tahun. Vektor pergeseran Selat Sunda sebelum dan sesudah erupsi, yang terbebas dari pengaruh Blok Sunda arahnya beragam disetiap titik, dengan besar pergeseran sebelum erupsi 6,446 mm/tahun sampai 19,012 mm/tahun, sedangkan sesudah erupsi 3,122 mm/tahun sampai 19,841 mm/tahun. Secara statistik pola pergeseran sebelum dan sesudah erupsi, Selat Sunda tidak mengalami perubahan yang signifikan. Pola regangan Selat Sunda sebelum erupsi, mengalami proses ekstensi seluruhnya,dengan nilai ekstensi terbesar adalah 0,4594 μstrain, sedangkan sesudah erupsi mengalami proses kompresi seluruhnya, dengan nilai kompresi terbesar adalah -0,6362 μstrain. Kata Kunci: Selat Sunda, Gunung Anak Krakatau, Deformasi, CORS, GAMIT.
Co-Authors Eko Rahmadi Jaspar Jas, Jaspar Murdapa, Fauzan Ni Made Sri Ulandari Resti Ajeng Sutiani Rizal Adi Saputra Titi Maemunaty, Titi