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THE PENGARUH IMPLEMENTASI KEBIJAKAN DIKLATPIM POLA BARU DAN KOMPETENSI KEPEMIMPINAN MO’ODELO TERHADAP KUALITAS PELAYANAN PUBLIK DI PEMERINTAH PROVINSI GORONTALO Irfan Ibrahim
Jurnal Administrasi Negara Vol 25 No 1 (2019): Jurnal Administrasi Negara
Publisher : Politeknik STIA LAN Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33509/jan.v25i1.605

Abstract

The purpose of this study was to investigate the effect of the improved leadership training program designed for lower level public service managers on the quality of public service in which the local wosdom of Mo’odelo leadership was treated as an intervening variable. This research employed a qualtitative approach using an explanatory survey technique. Data were collected through questionnaires and interviews. The were analysed using PLS (Partial Least Square) technique with the help of SmartPLS 3.1 software. The population consisted of lower level managers within the Gorontalo Provincial Government and ASN personnel at the Gorontalo Province Training Agency amounting to 520 people. Eighty-four sample respondets were drawn from the population. The results showed that: (1) the Newly improved leadership program for lower level did not directly affect on Public Services Quality; (2) the effect of the new leadership program on Public Services quality was mediated by indigenous Leadership Competency called Mo’odelo. This study therefore recommends that Gorontalo Provincial Government should complement the leadership development program with Mo'odelo as local wisdom if the objective is to include improvement of public service quality.
PELAKSANAAN DIKLAT TEKNIS BERBASIS E-LEARNING DALAM RANGKA PENGEMBANGAN KOMPETENSI ASN PADA BADAN DIKLAT PROVINSI GORONTALO Irfan Ibrahim
Diklat Review : Jurnal manajemen pendidikan dan pelatihan Vol 6 No 2 (2022)
Publisher : Komunitas Manajemen Kompetitif

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35446/diklatreview.v6i2.829

Abstract

There is a need for the Gorontalo Provincial Government for professional apparatus resources, encouraging the implementation of comprehensive ASN competency development. If this need is not met, it will have an impact on ineffective and inefficient local government administration so that it has implications for the low quality of service to the community. The development of ASN competencies to meet 20 JP (Lesson Hours) for each ASN is estimated to cost a budget of Rp. 38,142,000,000. This number comes from the number of ASN Gorontalo Provincial Government as many as 5,868 people multiplied by the technical education and training index (average estimate of Rp. 6,500,000 per participant for 20 JP). Not including the obligation for structural training of Rp. 23,880,000,000 for 796 structural officials (the average education and training index is Rp. 30,000,000 per participant). However, the budget availability for ASN competency development at the Gorontalo Provincial Education and Training Agency in 2019 is only Rp. 4,606,239,035, even for the 2020 budget, there was a decrease of only Rp. 1,335,768,521. Inequality in the availability of this budget will cause the implementation of ASN competency development at the Gorontalo Provincial Education and Training Agency will not be achieved as expected. Therefore, based on this problem, the Gorontalo Provincial Education and Training Agency is looking for a solution by developing low-cost education and training so that it will reduce budget dependence. The results of the implementation of e-learning-based technical training have succeeded in reducing the budget needs of the Education and Training Agency by more than 50%.
Penerapan Terapi Posisi Passive Leg Raising Dalam Meningkatkan Tekanan Darah Pada Pasien Syok Hipovolemik Di Ruangan Igd Rsud Prof. Dr.H. Aloei Saboe Kota Gorontalo Pipin Yunus; Haslinda Damansyah; Irfan Ibrahim
MEDICAL JURNAL OF AL-QODIRI Vol 8 No 2 (2023): Edisi Oktober
Publisher : Program Studi Keperawatan dan Kesehatan, Sekolah Tinggi Ilmu Kesehatan (STIKES) Bhakti Al-Qodiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52264/jurnal_stikesalqodiri.v8i2.292

Abstract

Syok Hipovolemik Merupakan Suatu Kondisi Paling Umum Terjadi Pada Sebagian Besar Kasus Keagawatdaruratan, Biasanya Karena Penyebab Kehilangan Cairan Atau Darah, Gangguan Curah Jantung, Kerusakan Vasomotor, Reaksi Alergi Atau Infeksi. Penelitian Ini Bertujuan dalam mengetahui bagaimana Penerapan Posisi Passive Leg Raising Pada Pasien Syok Hipovolemik Dalam Meningkatkan Tekanan Darah Di Ruangan Igd Rsud Prof.Dr.H Aloei Saboe, Metode penelitian menggunakan desain penelitian Praeksperimental dengan cara pendekatan one-group pre-post test design. Sampel dalam penelitian ini yaitu pasien yang mengalami syok hipovolemik, teknik pengumpulan melalui tatap muka serta tanya jawab langsung antara peneliti dan narasumber, dengan menggunaan instrumen Sop dan Lembar observasi. Hasil penelitian menunjukkan Didapatkan bahwa nilai Pvalue>0,05 yang berarti didapatkan hubungan yang signifikan antar PLR dan parameter hemodinamik seperti systolic blood pressure, diastolic blood pressure. Kesimpulan dalam penelitian bahwa dengan posisi passive leg raising dapat diberikan kepada pasien syok hipovolemik sebagai tata laksana awal untuk meningkatkan hemodinamik sebelum dilakukan resusitasi cairan.
KLASIFIKASI JENIS POHON MANGROVE BERDASARKAN CITRA DAUN MENGGUNAKAN METODE K-NEAREST NEIGHBOUR (KNN) Irfan Ibrahim; Maulana Fitra Ramadhani; Muhammad Ridho; M. Wisnu Adjie Pramudya; Putri Suci Renita; Apriliani Putri; Nadia Ayu Putri Priyani; Seffi Rozahana; Adinda; Nurul Hayaty
Sustainable Vol 13 No 2 (2024): Jurnal Sustainable : Jurnal Hasil Penelitian dan Industri Terapan
Publisher : Fakultas Teknik Universitas Maritim Raja Ali Haji

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31629/h45hyv18

Abstract

Studi ini dilakukan untuk mengimplementasikan algoritma KNN (K-Nearest Neighbour) dalam klasifikasi bakau menggunakan citra daun. Penelitian ini menggunakan 1.550 data citra daun Mangrove dengan menggunakan python dibagi menjadi empat kelas oleh Avicennia alba, Bruguiera gymnorrhiza, Rhizophora apiculata dan Sonneratia alba. Tingkat keberhasilan klasifikasi yang dicapai oleh sistem menggunakan metode K-Nearest Neighbour mencapai 93,75% dengan nilai k = 3. Hasil penelitian ini menunjukkan bahwa model KNN bisa mengklasifikasi jenis Avicennia alba dan Sonneratia alba dengan jelas, namun terdapat sedikit kesalahan dalam spesies Bruguiera gymnorrhiza dan Rhizophora apiculata karena memiliki kemiripan ciri tekstur antara satu dengan yang lain.