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All Journal Jurnal Online Mahasiswa (JOM) Bidang Keguruan dan Ilmu Pendidikan ECSOFiM (Economic and Social of Fisheries and Marine Journal) Habitat Shautut Tarbiyah Journal of Information Technology and Computer Science Journal of Environment and Sustainability JEPA (Jurnal Ekonomi Pertanian dan Agribisnis) Jurnal Ekonomi & Keuangan Islam Proceedings of the 1st UR International Conference on Educational Sciences Kinestetik : Jurnal Ilmiah Pendidikan Jasmani Jurnal Pertanian Agros Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) Agrisocionomics: Jurnal Sosial Ekonomi Pertanian JURNAL PENDIDIKAN TAMBUSAI Jambura Journal of Sports Coaching JURNAL PANGAN Jurnal Public Policy GERAM (GERAKAN AKTIF MENULIS) Metahumaniora Agro Bali: Agricultural Journal Journal of SPORT (Sport, Physical Education, Organization, Recreation, and Training) JURNAL TUAH: Pendidikan dan Pengajaran Bahasa Jurnal Patriot SPORT GYMNASTICS: Jurnal Ilmiah Pendidikan Jasmani Journal of Biology Learning SPRINTER: Jurnal Ilmu Olahraga Journal of Language Education, Linguistics, and Culture Digital Transformation Technology (Digitech) Eduvest - Journal of Universal Studies Innovative: Journal Of Social Science Research TAJDID: Jurnal Ilmu Ushuluddin Jurnal Pembelajaran Bahasa dan Sastra Jurnal Saintekom (Sains dan Teknologi Komputasi)
Syafrial Syafrial
Fakultas Pertanian Universitas Brawijaya, Malang-Jawa Timur
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Neuroscience Nursing Physics Public Health Social Sciences Other

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Penerapan Metode Simple Additive Weighting untuk Penerimaan Pegawai Tidak Tetap di Pemerintahan Syafrial, Syafrial; Harbani, Arif; Apriani, Irna
Digital Transformation Technology Vol. 4 No. 1 (2024): Periode Maret 2024
Publisher : Information Technology and Science(ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/digitech.v4i1.4501

Abstract

Proses rekrutmen Pegawai Tidak Tetap Dinas Pekerjaan Umum dan Penataan Ruang Kabupaten Kepala Sub Bagian Umum dan Kepegawaian memilih dan menyeleksi satu persatu data pelamar yang masuk. Apabila datanya lengkap bagian Kasubag Umpeg akan memanggil pelamar untuk mengikuti tahapan seleksi. Banyaknya pelamar membuat pihak Kepegawaian sering mengalami kesulitan dalam memilih calon pegawai tidak tepat, dan dalam proses seleksi proses pengambilan keputusan yang diambil sangat dipengaruhi faktor subjektifitas dari yang menginterview untuk pengambil keputusan didalamnya diterapkan variabel-variabel seperti Pendidikan, Tes Tertulis dan Test Wawancara.Telah dilakukan uji kelayakan pada aplikasi yang dibangun, dengan nilai kelayakan sebesar 87,6%, yang bermakna aplikasi yang dibangun sangat layak dan juga sudah dilakukan uji nilai dengan menggunakan rumus Rank Spearman dengan hasil nilai 0,99.
Penerapan Metode Naive Bayes untuk Penentuan Penanganan Pasien pada Penyakit ISPA Harbani, Arif; Syafrial, Syafrial; Warmansyah, Julio; Arif, Alya Fairuzi
Digital Transformation Technology Vol. 4 No. 2 (2024): Periode September 2024
Publisher : Information Technology and Science(ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/digitech.v4i2.5190

Abstract

Pada bidang kesehatan, penentuan penanganan pasien di puskesmas merupakan hal yang sangat penting dalam memastikan pasien mendapatkan perawatan yang optimal. Penelitian ini bertujuan untuk menerapkan algoritma Naive Bayes dalam konteks penentuan penanganan pasien guna membantu mengantisipasi penanganan pasien secara lebih efisien. Berdasarkan pada permasalahan yaitu belum diketahui faktor penentu dan tingkat efektif dalam penentuan penanganan pasien. Untuk itu diperlukan penentuan penanganan pasien pada puskesmas menggunakan Algoritma Naive Bayes. Penelitian ini bertujuan untuk menentukan pasien yang nantinya dapat lebih diutamakan penanganannya dengan tepat, mengembangkan prototype aplikasi Penerapan Metode Naive Bayes untuk Penentuan Penanganan Pasien pada Penyakit ISPA dan mengukur tingkat ketepatan dan efektifitas penerapan Algoritma Naive Bayes. Pada aplikasi yang dibangun telah dilakukan uji kelayakan dengan ahli sistem sehingga diperoleh hasil presentase kelayakan sebesar 100% dan di interpretasikan "Sangat Layak". Telah dilakukan uji pengguna dengan menggunakan kuisioner PSSUQ sesuai dengan Kategori PSSUQ diantaranya yaitu nilai (Overall) 81.25 sebesar %, kegunaan sistem (Sysuse) kepuasan sebesar 86.67%, kualitas informasi (Infoqual) sebesar 80% dan kualitas antarmuka (Interqual) sebesar 75%, yang artinya aplikasi ini “Sangat Layak” digunakan
Penerapan Metode SAW dalam Menentukan Rekomendasi PNS Teladan di Instansi TNI AD Warmansyah, Julio; Syafrial, Syafrial; Harbani, Arif; Al Qorni, Lulut Ugi Wais
Digital Transformation Technology Vol. 5 No. 1 (2025): Periode Maret 2025
Publisher : Information Technology and Science(ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/digitech.v5i1.6572

Abstract

Pegawai Negeri Sipil (PNS) sebagai bagian dari Aparatur Sipil Negara (ASN) memegang peran penting dalam mendukung keberhasilan instansi pemerintah, termasuk di lingkungan TNI AD, khususnya di PUSDIKZI. Penilaian PNS teladan selama ini dilakukan secara manual oleh petugas penilai, namun metode tersebut kurang efisien karena memakan waktu dan berpotensi menimbulkan subjektivitas, terutama saat nilai antarpegawai memiliki hasil yang sama. Kriteria penilaian meliputi nama, nilai sikap, orientasi pelayanan, integritas, komitmen, disiplin, kerja sama, perilaku, dan prestasi. Untuk meningkatkan objektivitas dan efisiensi penilaian, digunakan metode Simple Additive Weighting (SAW). Metode ini bekerja dengan memberikan bobot pada setiap kriteria dan menghitung nilai akhir untuk menentukan pegawai yang paling memenuhi kriteria. Aplikasi berbasis SAW yang dibangun dalam penelitian ini telah diuji dan memperoleh nilai kelayakan sebesar 91,37%, menunjukkan bahwa aplikasi sangat layak digunakan. Selain itu, uji validitas dengan metode Rank Spearman menghasilkan nilai 0,838, yang menunjukkan korelasi sangat kuat antara sistem dan hasil penilaian manual. Dengan demikian, aplikasi ini terbukti efektif dalam membantu pengambilan keputusan penilaian PNS teladan secara cepat, objektif, dan tepat.
The Effect of Livelihood Capital on the Sustainable Livelihood of Rice Farmers in Penanggungan Village, Mojokerto Regency, East Java, Indonesia Ma'ruf, Zulfan Firdaus; Syafrial, Syafrial; Suhartini, Suhartini
Agro Bali : Agricultural Journal Vol 8, No 3 (2025)
Publisher : Universitas Panji Sakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37637/ab.v8i3.2181

Abstract

Sustainable livelihoods are a crucial concept in efforts to achieve balanced social, economic, and environmental prosperity. In reality, many communities face challenges with their implementation, including uncertain income and limited access to existing resources. The existence of these problems necessitates effective strategies for achieving sustainable livelihoods. This research aims to analyze sustainable livelihood strategies by optimizing the livelihood capital owned by rice farmers. This research was conducted in Penanggungan Village, Trawas District, Mojokerto Regency. This research was conducted in February – March 2024. This research focused on farmers who grow rice plants, with 134 respondents. The method used is a sustainable livelihood approach based on livelihood capital. Data analysis used logistic regression. The results obtained from human capital, social capital, and physical capital have a significant and positive impact on sustainable livelihoods. Meanwhile, natural capital has no significant effect, and financial capital has a negative and insignificant impact on sustainable livelihoods. Thus, human capital, social capital, and physical capital have the opportunity to improve farmers’ sustainable livelihoods.
Exploration of Differences In Students Creative Thinking Abilities Viewed from Perspective Gender and Domicile: Rasch Model Analysis syafrial, syafrial; Abdul Kadir; Zainuddin
Journal of Biology Learning Vol 7 No 2 (2025): September 2025
Publisher : Universitas Veteran Bangun Nusantara Sukoharjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32585/jbl.v7i2.7642

Abstract

The purpose of this study was to explore differences in students creative thinking abilities based on gender and domicile. The research method used was descriptive quantitative. Sampling used proportional random sampling technique at Public Junior High Schools in South Konawe Regency. The research instrument used a creative thinking test as primary data. The data analysis technique used the winsteps program with scalogram analysis. The results showed that female students tended to be superior in fluency, originality, and elaboration, both at very high and low levels of creative thinking ability, while male students showed superiority in flexibility. This difference can be influenced by biological, psychological, and social factors that play a role in cognitive development and creativity. In addition, differences in creative thinking abilities were also found based on domicile. Urban students are superior in several indicators at very high levels of creative thinking ability, but are more susceptible to decreased creativity at very low levels compared to rural students. Environmental factors such as access to educational resources, intellectual stimulation, and higher social support in urban areas play a role in this difference. Overall, these findings confirm that gender and domicile significantly influence students creative thinking abilities.
Penerapan Metode Algoritma C4.5 Untuk Menentukan Kelayakan Penerimaan Bantuan Rumah Tidak Layak Huni Setiawan, Rangga; Syafrial, Syafrial
Jurnal SAINTEKOM (Sains dan Teknologi Komputasi) Vol 1 No 3 (2025): Desember 2025
Publisher : Lembaga Penelitian, Pengembangan, dan Pengabdian Kepada Masyarakat (LP3M) – Universitas Binaniaga Indonesia (UNBIN)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36350/jskom.v1i3.63

Abstract

Kemiskinan merupakan salah satu masalah sosial yang kompleks karena berdampak pada berbagai aspek kehidupan. Salah satu bentuk program pemerintah untuk mengatasinya adalah bantuan Rumah Tidak Layak Huni (RUTILAHU). Namun, permasalahan sering muncul karena data penerima bantuan yang tidak akurat sehingga bantuan tidak tepat sasaran. Penelitian ini menerapkan algoritma C4.5 untuk mengklasifikasikan kelayakan penerima bantuan berdasarkan variabel penghasilan, jumlah tanggungan, jenis lantai, sumber air, jenis kloset, listrik, dan luas rumah. Hasil penelitian menunjukkan bahwa model pohon keputusan yang dibentuk dapat meningkatkan akurasi penentuan penerima bantuan dengan tingkat akurasi mencapai 94,5%.  Dengan demikian, penerapan algoritma C4.5 dapat menjadi solusi pendukung keputusan yang efektif bagi pemerintah dalam menentukan penerima program RUTILAHU
The Study of Local Government Policy and its Impact on Public Satisfaction and Incumbent Electability: An Analysis of Experiences from Jambi Province HM, Pahrudin; Muhammad, Hatta Abdi; Senjaya, Burlian; Elviria, Samia; Ahmad, Zakly Hanafi; Syafrial, Syafrial; Salman, Salman
Journal Public Policy Vol 12, No 1 (2026): January
Publisher : Universitas Teuku Umar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35308/jpp.v12i1.11702

Abstract

Studies on Indonesian local elections have covered identity politics, patronage, and candidate charisma in great detail, but they don't provide much empirical data on how actual policy performance affects public satisfaction and incumbent electability at the province level. There is a research gap regarding whether policy-driven satisfaction quantitatively translates into voter support, especially in decentralized regions where visibility and impact of government programs vary significantly. This is because scholars have rarely integrated public service satisfaction metrics with electoral behavior. By examining whether local government policy effectiveness directly affects satisfaction levels and, in turn, determines incumbent electability in Jambi Province, this study closes that gap. 880 respondents were chosen for this quantitative survey study utilizing a multistage random sampling procedure with a 4% margin of error, and SPSS was used for analysis. The results show that a number of development initiatives, most notably the Dumisake Program, were carried out under the Haris–Sani administration (2020–2024) and received strong public support. While electability data reveals that 51.50% of respondents planned to vote for Haris-Sani in the 2024 Governor Election, the Community Satisfaction Index (IKM) reveals that 60.40% of respondents were satisfied with the administration's plans. The official election result, in which Haris-Sani easily defeated Romi-Sudirman and was subsequently appointed for the 2025–2030 term, clearly represented these opinions. The study finds that increased public satisfaction with local government programs significantly and favorably affects the incumbent's electability, indicating that policy performance continues to be a crucial factor in determining voter behavior in regional elections.
Meta-Analysis: The Effect of Discovery Learning On Students' Creative Thinking Abilities Syafrial, Syafrial; Pairin, Pairin
Shautut Tarbiyah-IAIN Kendari Vol. 30 No. 1, Mei (2024): Transdisciplinary Approach in Islamic Education in the 4.0 era (Pendekata
Publisher : Institut Agama Islam Negeri (IAIN) Kendari

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31332/str.v30i1.7280

Abstract

The discovery learning model has been widely applied in the learning process at all levels of education. However, it is not known how effective the discovery learning model is on creative thinking abilities, especially science subjects at the senior high school level. The aim of this research is to describe how meta-analysis of the discovery learning model affects students' creative thinking abilities in science subject matter (Physics, Chemistry, Biology). The research method used is descriptive in the form of survey research using a meta-analysis design, namely by re-analyzing the results of scientific publications in the form of research articles, theses and theses. The data analysis technique used is effect size analysis using the Glass formula. The results of data analysis show that the average effect size of all publication results is 0.79 in the high category with an average effect of 78.81%. Based on the relationships between the variables obtained, learning using the discovery learning model to improve creative thinking skills is best applied to Biology subjects, the effect size is 0.95 in the high category and has an influence of 83%. Based on the subject group, the influence of discovery learning to improve students' creative thinking abilities in Biology subjects is 83%, while in Chemistry subjects it is 73.2%, and in Physics subjects it is 71.4%. In the future, it is hoped that the results of this research can become a reference for reviewing applications. discovery learning to improve students' creative thinking abilities in science learning
Penerapan Metode Analytical Hierarchy Process (AHP) dalam Sistem Pendukung Keputusan Rekomendasi Dosen Teladan Syafrial, Syafrial; Harbani, Arif; Warmansyah, Julio; Mi’raj, Agil
Digital Transformation Technology Vol. 6 No. 1 (2026): Periode Maret 2026
Publisher : Information Technology and Science(ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/digitech.v6i1.7506

Abstract

Proses seleksi dosen teladan sering menghadapi kendala dalam penilaian yang subjektif dan tidak terstruktur. Seleksi yang masih dilakukan secara manual dan bergantung pada penilaian langsung atasan menimbulkan ketidakakuratan dalam rekomendasi dosen teladan. Ketidakjelasan dalam pembobotan kriteria dan bias personal menyebabkan rendahnya transparansi dan keadilan dalam seleksi, yang dapat mengurangi motivasi dosen dalam meningkatkan kinerja mereka. Penelitian ini bertujuan mengaplikasikan metode Analytical Hierarchy Process (AHP) dalam sistem pendukung keputusan untuk meningkatkan objektivitas dan efektivitas dalam proses seleksi dosen teladan. Metode ini digunakan untuk membandingkan kinerja dosen berdasarkan kriteria yang objektif, menghasilkan rekomendasi yang lebih transparan dan akurat. Selain itu, penelitian ini juga berfokus pada pengembangan prototipe sistem informasi pendukung keputusan untuk seleksi dosen teladan yang lebih efektif. Hasil penelitian menunjukkan metode AHP berhasil merekomendasikan Budi Hartono sebagai dosen teladan teratas dengan nilai 0,093. Sistem ini terbukti efektif dan dinilai "Sangat Layak", didukung oleh hasil uji ahli dengan kelayakan 100%, kepuasan pengguna sebesar 88%, serta uji korelasi Spearman Rank yang menunjukkan hubungan "Kuat" senilai 0,72. Hal ini membuktikan sistem mampu memberikan rekomendasi yang lebih akurat, objektif, dan transparan
Climate Village sustainability and institutional support: A systematic review Syafrial, Syafrial; Febriamansyah, Rudi; Mahdi, Mahdi; Zamzami, Lucky
Sustinere: Journal of Environment and Sustainability Vol. 9 No. 3 (2025): pp. 239-407
Publisher : Center for Science and Technology, Universitas Islam Negeri Raden Mas Said Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22515/sustinere.jes.v9i3.540

Abstract

This study presents a systematic literature review (SLR) of climate village programs, with particular attention to institutional support, community participation, and sustainability practices. Guided by the PRISMA protocol, 42 eligible articles were analyzed to map the geographical scope, journal quality, theoretical frameworks, governance arrangements, and the role of local resources. The review reveals significant heterogeneity across contexts: African studies emphasize renewable energy, Bangladesh highlights adaptation politics, Indonesia adopts a multi-sectoral approach, while small island states prioritize coastal conservation. Most studies employ qualitative and participatory methods, drawing on resilience theory, socio-ecological systems, participatory governance, and energy transition perspectives. Institutional support is found to operate through multi-level governance involving government, NGOs, communities, and private actors. However, power asymmetries often constrain long-term sustainability. Local resources and indigenous knowledge emerge as critical for resilience but require supportive legal and institutional frameworks to avoid elite capture and ensure genuine empowerment. Theoretically, this review advances the concept of Climate Villages as socio-ecological laboratories linking global climate agendas with local action. Practically, it identifies the need for contextualized interventions, stronger governance coordination, and knowledge co-production. The findings provide actionable insights for policymakers, practitioners, and researchers seeking to strengthen the design, implementation, and sustainability of Climate Village initiatives.
Co-Authors Abdul Kadir Abdul Razak Abdul Wahib Muhaimin Adib Alfalah Ahmad, Zakly Hanafi Al Qorni, Lulut Ugi Wais Ali, Ririn Fujiarti Amelia Annisahaq Amelia, Rizca Andes Permadi Andika Prabowo Anggita, Amalia Annisa Rahmi, Annisa Apriani, Irna Apriliani, Rini Trisda Arif, Alya Fairuzi Asihing Kustanti Aulia, Selli Awangdani, Rezky Ayu Azaky, Andri Budi Setiawan Charlina, Charlina Charlina, Charlina Defliyanto Dewi, Gusmina Diana Sari Dini Nuraeni, Dini Djoko Koestiono Doni Setiawan Dwi Retno Andriani Eko Nopiyanto, Yahya Elmustian, Elmustian Elmustian, Elmustian Eltias, Yumna Elviria, Samia Ermagusti Ermagusti Fahriyah Fahriyah Fiona Sarah Musfita Firdaus, Mohammad Wahyu Fitri, Febti Aulia Fitriani, Resty Anindita Frederica, Frederica Fuadah, Alisa Durrotul Hadi Rumadi Hadi, Arief Rahman Hafiidha, Laila Nur Harbani, Arif Hari Mulya, Okta Harianti Chan, Tina Hasianthy Hutauruk, Sonia Nelly Hasibuan, Amir Fauzan Martua Hasnah Faizah AR Hatta Abdi Muhammad Hery Toiba HM, Pahrudin I Gusti Bagus Wiksuana Ibrahim Ibrahim Indriani, Tria Insanistyo, Bayu Ipa Sari Kardi Julio Warmansyah Kadir, Intan Saluwa A Lucky Zamzami M. Nur Mustafa Ma'ruf, Zulfan Firdaus Maharani, Intan Mega Mahdi Mahdi, Mahdi Mangatur Sinaga Mangatur Sinaga Sinaga, Mangatur Sinaga Maria, Desri Ida Mi’raj, Agil Mochammad Muslich Mustadjab Muthiah Abda Azizah, Muthiah Abda Muzny, Ilmy Mulky Nelsa, Widya Nitami, Rodiah Noor Rizkiyah Nopiyanto, yahya eko Nugroho Tanda W. Nugroho, Tri Wahyu Nugroho Nuhfil Hanani Nur Ocvanny Amir Nurfadila Nurfadila, Nurfadila Nurhikmah Nurhikmah Nurul Fajar Muslimah Ningrum Nurul Fatimah Oddie Barnanda Rizky Oki Rasdana Pairin Pairin, Pairin Prabowo, Jamaludin Adi Prihantini, Campina Illa Rangga Setiawan Ratya Anindita Rikatsih, Nindynar Rina, Sapta Rinaldi, Ego Riyanti Isaskar Roifah, Fathia Rosihan Asmara Rudi Febriamansyah S, Ririn Deviyanti Salman Salman Sani, Evina Nahdiya Senjaya, Burlian Septian Raibowo SRI RAHAYU Sugihartono, Tono Suhardoyo, Favian Arsyi Suhartini Suhartini Sujarwo Sujarwo Sukmawati, Diana Ayu Suldin, Suldin Sutisyana, ari Syahrani, Rezki Puteri Tiara Dika Ashari, Tiara Dika Tri Hadi, Rahmad Ulfa, Risky Yanti Vantoria, Vantoria Vioryza Balgies Pangestika, Vioryza Balgies Wahyuni, Ulfa Warjito Warjito, Warjito Wayan Firdaus Mahmudy Wiwit Widyawati Yahya Eko Nopiyanto Yanti, Ulfa Nurazhari Yeni, Seppi Yundari, Yundari Yusma, Maili Zainuddin Zakki Faizin Fitrianto Zulhaini, Zulhaini