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All Journal JURNAL SAINS PERTANIAN EQUATOR Jurnal Online Mahasiswa (JOM) Bidang Teknik dan Sains JPAP (Jurnal Penelitian Administrasi Publik) (e-Journal) Promotif: Jurnal Kesehatan Masyarakat Jurnal Public Policy Gema Wiralodra SCAFFOLDING: Jurnal Pendidikan Islam dan Multikulturalisme Jurnal Prima Medika Sains Arif: Jurnal Sastra dan Kearifan Lokal AGROTEKBIS: Jurnal Ilmu Pertanian Jurnal Perilaku Kesehatan Terpadu Journal of Big Data Analytic and Artificial Intelligence
Anto Anto, Anto
UIN Sunan Kalijaga Yogyakarta
Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Computer Science & IT Decision Sciences, Operations Research & Management Dentistry Earth & Planetary Sciences Economics, Econometrics & Finance Education Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Medicine & Pharmacology Nursing Public Health Social Sciences Other

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Akidah Akhlak Teachers’ Strategies to Mitigate Students’ Learning Boredom Irma, Irma; Rahman, Patur; Anto, Anto; Takdir, Takdir; Salam, Rufaidah
Scaffolding: Jurnal Pendidikan Islam dan Multikulturalisme Vol. 6 No. 3 (2024): Geographical Coverage: Indonesia
Publisher : Institut Agama Islam Sunan Giri (INSURI) Ponorogo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37680/scaffolding.v7i3.7954

Abstract

This study explores the causes of students’ learning boredom in Akidah and Akhlak lessons and examines how teachers address it within a pesantren context. This qualitative descriptive case study was conducted at MA Pondok Pesantren Nurul Falah Borongganjeng. The study utilized two main types of data: (1) data concerning the factors that cause students’ boredom in learning Akidah and Akhlak, and (2) data describing the strategies employed by Akidah and Akhlak teachers to overcome such boredom. These data were obtained through interviews, classroom observations, and document analysis involving selected teachers and students. The analysis revealed five key sources of boredom: excessive workload, monotonous teaching routines, low learning motivation, limited classroom dynamics, and the absence of refreshing activities. In response, teachers applied a set of adaptive strategies such as brief icebreakers, segmented lectures, storytelling with prophetic models, rotating collaborative methods, and flexible classroom arrangements. These efforts effectively enhanced engagement by increasing students’ perceived value and sense of control, aligning with the principles of Control-Value Theory. The study contributes to Islamic education research by demonstrating that simple pedagogical adjustments rather than additional resources can meaningfully reduce learning fatigue and sustain motivation in faith-based subjects.
Penerapan K-Nearest Neighbor Untuk Klasifikasi Status Gizi Balita Di Puskesmas Karang Rejo Nurfadilah, Asriani; Anto, Anto; Fadlan, Muhammad
Journal of Big Data Analytic and Artificial Intelligence Vol 8 No 2 (2025): JBIDAI Desember 2025
Publisher : STMIK PPKIA Tarakanita Rahmawati

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.71302/jbidai.v8i2.71

Abstract

The issue of nutritional status in toddlers is one of the crucial concerns in the health sector, particularly in efforts to prevent stunting and malnutrition. At Karang Rejo Public Health Center, the assessment of toddlers’ nutritional status is still conducted manually by relying on weight-based estimation, which makes the classification process less efficient and increases the risk of inaccuracies in determining nutritional status. This study aims to apply the K-Nearest Neighbor (K-NN) algorithm as a faster and more accurate method for classifying toddlers’ nutritional status. The research stages include data collection, data processing, and the application of the K-NN algorithm. The data used consist of 100 toddler records, including the variables of weight-for-age (BB/U), height-for-age (TB/U), and weight-for-height (BB/TB) as the basis for determining nutritional status. The results show that the application of the K-NN algorithm with an optimal k value of 3 is able to produce nutritional status classifications that are consistent with doctors’ assessments. Performance evaluation using a Confusion Matrix on the test data yields an accuracy of 100%, with precision and recall values also reaching 100% for each nutritional status category. These findings indicate that all test data are classified correctly. Therefore, the application of this method is expected to assist healthcare workers at Karang Rejo Public Health Center in diagnosing and monitoring toddlers’ nutritional status more effectively and efficiently.
ANALISIS PENDAPATAN USAHA GULA AREN DI DESA DOLAGO KECAMATAN PARIGI SELATAN KABABUPATEN PARIGI MOUTONG Anto, Anto; Antara, Made; Khatima, Husnul
AGROTEKBIS : JURNAL ILMU PERTANIAN (e-journal) Vol 13 No 6 (2025): Desember
Publisher : Fakultas Pertanian, Universitas Tadulako

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22487/agrotekbis.v13i6.2822

Abstract

Penelitian ini dilaksanakan di Desa Dolago Kecamatan Parigi Selatan Kabupaten Parigi Motong, pada bulan September 2022. Penentuan lokasi dilakukan secara sengaja (Purposive) dengan pertimbangan bahwa Desa Dolago merupakan daerah gula aren terbesar di Kecamatan Parigi Selatan. Penentuan sampel menggunakan metode sensus yaitu sebanyak 37 populasi pengrajin gula aren dijadikan sebagai responden. Metode pengumpulan data yang digunakan yaitu observasi dan wawancara langsung dengan menggunakan kuesioner. Analisis data yang digunakan yaitu analisis pendapatan. Berdasarkan hasil analisis yang dilakukan maka diperoleh rata-rata hasil produksi yang diperoleh setiap bulan sebesar 222,24 Kg/bulan dengan harga jual Rp18.000/Kg sehingga diperoleh penerimaan rata-rata sebesar Rp 4.011.567,56 dan total biaya rata-rata yang dikeluarkan sebesar Rp 3.029.964,98/bulan maka diperoleh rata-rata pendapatan responden sebesar Rp 981.602,58/bulan.
Co-Authors Adelina, Rita Ahmad Syar Aida Indriani Asriwati, Asriwati Azriyenni Azhari Zakri Badiran, Muhammad Bunga', Rensi Chandra, Diky Evawany Yunita Aritonang Febriyan, Febriyan Fitri Palimbunga , Agustina Fitria Ginting, Ferawati Hatta, Herman Husnul Khatima, Husnul I Made Antara Ih’Diati, Noor Oktavia Irma Irma Jubrianto, Jubrianto Juliansyah, Rizky Kalalo, Arnold lestari ningsih Maesarah, Maesarah Mappasere, Fatmawati A. MUHAMMAD FADLAN Nadia Indah Tarakanita Nasution, Zuraidah Nurdin, Mona Nurfadilah, Asriani Nurhalizah Noor Nurnahayati, Cut Nuryanti Mustari, Nuryanti Patur Rahman, Patur Rahmawati, Andira rini hazriani Romadan Rosmini Rosmini Rusmin Salam, Rufaidah Salikunna , Riska Saskiyanto Manggabarani Sinawati, Sinawati Sulakhudin Sulakhudin Sumardi Sudarman, Sumardi Takdir Takdir, Takdir Tsalaisye Nur Fajjriyah Yetti R, Erni Yusni Amaliah Zebua, Fasman