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All Journal Ganendra: Majalah IPTEK Nuklir Syntax Literate: Jurnal Ilmiah Indonesia Jurnal Teknologi Pertanian NUSANTARA : Jurnal Ilmu Pengetahuan Sosial MONETER JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Journal of Information Systems and Informatics Jurnal Pengembangan Penyuluhan Pertanian Budapest International Research and Critics Institute-Journal (BIRCI-Journal): Humanities and Social Sciences Journal Medical Informatics Technology JURNAL ILMIAH GEMA PERENCANA The Indonesian Journal of Computer Science
Eko Priyono
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Prediction Of Alzheimer Patients with Machine Learning Algorithms Priyono, Eko
The Indonesian Journal of Computer Science Vol. 14 No. 3 (2025): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v14i3.4364

Abstract

Alzheimer's disease is a neurological illness that impacts mental and emotional functions functions, has become a global concern due to its increasing prevalence. While age is the primary risk factor, other factors such as the APOE ε4 gene, family history, and brain injury also play a role. To date, there is no effective treatment for Alzheimer's, making early detection crucial. This study aims to explore early detection methods for Alzheimer's using machine learning algorithms, including transformer techniques. The results indicate that the Random Forest algorithm with Transformer methods achieved the highest accuracy of 98.9%. These findings are expected to contribute to the development of more accurate and efficient early detection strategies and improve the management of developing Alzheimer's later on.
PERANAN PENGANGGARAN PADA PT SATU VISI EDUKASI ( ILP CIMANGGU ) Priyono, Eko; Maulana, Hendri
MONETER Vol 2 No 2 (2014): OKTOBER
Publisher : Fakultas Ekonomi dan Bisnis Universitas Ibn Kahldun Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (248.801 KB) | DOI: 10.32832/moneter.v2i2.944

Abstract

Penganggaran merupakan komitmen resmi manajemen yang terkait dengan harapan manajemen tentang pendapatan, biaya dan beragam transaksi keuangandalam jangka waktu tertentu di masa yang akan datang. Dengan penyusunananggaran usaha-usaha perusahaan akan lebih banyak berhasil apabila ditunjangoleh kebijaksanaan-kebijaksanaan yang terarah dan dibantu oleh perencanaanperencanaan yang matang. ILP adalah salah satu brand pemegang lembaga bahasa yang dibeli oleh PT Satu Visi Edukasi dengan system frenchise Berdasarkan uraian diatas penganggaran sangat penting dalam medukung perusahaan mencapai tujuanya, karena mengingat pentingnya fungsi suatu penganggaran dalam suatu perusahaan.
Analisis Pelaksanaan Penyuluhan Pertanian Oleh Empat Lembaga Di Desa Sipora Jaya Kecamatan Sipora Utara Kabupaten Kepulauan Mentawai Priyono, Eko; Tanjung, Hery Bachrizal; Wahyuni, Sri
Jurnal Pengembangan Penyuluhan Pertanian Vol. 21 No. 1 (2024): Juli
Publisher : UPPM Politeknik Pembangunan Pertanian Yogyakarta Magelang (Polbangtan Yoma)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36626/jppp.v21i1.1152

Abstract

Penelitian ini bertujuan untuk mendeskripsikan bagaimanakah perencanaan penyuluhan pertanian, pelaksanaan penyuluhan pertanian dan evaluasi penyuluhan pertanian yang dilakukan oleh empat lembaga di Desa Sipora Jaya Kecamatan Sipora Utara Kabupaten Kepulauan Mentawai. Penelitian ini meggunakan  metode kualitatif  dengan pendekatan fenomenologi. Penelitian kualitatif bertujuan untuk mendeskripsikan fenomena - fenomena sosial di masyarakat petani melalui data - data yang dikumpulkan dan dianalisa secara mendalam. Berdasarkan hasil dan pembahasan dapat diambil kesimpulan sebagai berikut, 1.) Empat lembaga belum menyusun perencanaan penyuluhan pertanian secara lengkap dan  tertulis sesuai dengan pedoman, perencanaan penyuluhan hanya dibuat pada saat akan memberikan materi penyuluhan kepada penerima manfaat sehingga kegiatan penyuluhan tidak memiliki pedoman yang tetap terkecuali lembaga LSM Field yang sudah mempunyai jadwal penyuluhan yang rutin dengan materi yang sudah disepakati sebelumnya. 2.) Pelaksanaan penyuluhan pertanian yang dilakukan oleh lembaga LSM Field bersifat learning by doing atau belajar sambil berbuat, sementara petani maju lebih memberikan solusi bagi permasalahan yang dihadapi oleh penerima manfaatnya, sementara lembaga panti KAUM lebih ke praktek langsung dilahan dan memberikan contoh kepada penerima manfaatnya dan penyuluh pemerintah lebih cenderung ke penyampaian informasi - informasi yang berkaitan dengan inovasi tertentu dari program pemerintah. 3.) Evaluasi pelaksanaan penyuluhan pertanian yang dilakukan oleh empat lembaga hanya dilakukan pada evaluasi materi penyuluhan pertanian, evaluasi belum dilakukan pada program, media dan metode penyuluhan pertanian.
Analisis Spasial Aksesibilitas Dan Pelayanan Transportasi Bus Pariwisata Terhadap Objek Wisata Di Kota Medan Priyono, Eko
Syntax Literate Jurnal Ilmiah Indonesia
Publisher : Syntax Corporation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36418/syntax-literate.v10i8.61350

Abstract

Transportation is a crucial element in supporting the success of urban tourism, particularly in ensuring accessibility and comfort for tourists to tourist attractions. In Medan City, several historical and cultural tourist destinations are still not fully recognized and optimally utilized due to limitations in the tourist transportation system. This study aims to analyze the level of spatial and attributive accessibility of intra-city tourist bus services using a Geographic Information System (GIS) approach. Spatial data in the form of tourist attraction locations, routes, and bus stops were processed using buffering, overlay, and isochrone analysis methods. Meanwhile, attribute data—including operating hours, peak times, and travel time from the city center—were analyzed using a quantitative scoring scheme. The analysis results show that the majority of tourist attractions in Medan are located within a radius of <300 meters from bus stops, have operating hours compatible with bus services, and travel time ≤15 minutes from the city center. All tourist attractions received the highest accessibility index (Scale 3), reflecting excellent spatial-temporal feasibility. These findings support the argument that an integrated land transportation network plays a strategic role in optimizing urban tourism development. This study is expected to serve as a reference in the formulation of spatial data-based tourist transportation policies in urban areas.
EVALUASI PELAKSANAAN PROGRAM PENGUNGKAPAN SUKARELA DI KPP PRATAMA JAKARTA PULOGADUNG (UNDANG-UNDANG NOMOR 7 TAHUN 2021 TENTANG HARMONISASI PERATURAN PERPAJAKAN) Priyono, Eko
NUSANTARA : Jurnal Ilmu Pengetahuan Sosial Vol 10, No 4 (2023): NUSANTARA : JURNAL ILMU PENGETAHUAN SOSIAL
Publisher : Universitas Muhammadiyah Tapanuli Selatan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31604/jips.v10i4.2023.2156-2166

Abstract

Pengesahan Undang-Undang Nomor 7 Tahun 2021merubah ketentuan umum perpajakan, Pajak Penghasilan, PPN, Pajak Karbon, dan Program Pengungkapan Sukarela (PPS). PPS memberikan kesempatan wajib pajak untuk melaksanakan kewajiban perpajakan yang belum dipenuhi secara sukarela melalui pembayaran PPh berdasarkan pengungkapan harta. Rumusan masalah yaitu mengapa PPS di KPP Pratama Jakarta Pulogadung belum efektif dan bagaimana upaya agar PPS efektif. Penelitian yang digunakan adalah penelitian deskriptif dengan pendekatan kualitatif dengan lokasi penelitian KPP Pratama Jakarta Pulogadung.Pelaksanaan PPS di KPP Pratama Jakarta Pulogadung belum efektif berdasarkan hasil persandingan data eligible PPS KPP Pratama Jakarta Pulogadung dengan jumlah Wajib Pajak yang memanfaatkan Program Pengungkapan Sukarela, Surat Kerangan yang terbit, nilai harta bersih, dan PPh yang diterima.upaya untuk meningkatkan efektivitas Program Pengungkapan Sukarela bisa dilakukan oleh KPP Pratama Jakarta Pulogadung antara lain dengan melaksanakan kelas pajak PPS melalui zoom cloud meeting, sosialisasi melalui media sosial, dan menyampaikan himbauan/klarifikasi data melalui surat, email, whatsapp blast, atau email kepada Wajib Pajak eligible PPS.
PREDICTION OF TUBERCULOSIS PATIENTS WITH MACHINE LEARNING ALGORITHMS Priyono, Eko
JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Vol 9, No 4 (2024)
Publisher : STKIP PGRI Tulungagung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29100/jipi.v9i4.5486

Abstract

This research is highly significant because Tuberculosis remains a significant global health issue, and early detection can aid in its more effective management. By employing four different classification algorithms, this study provides a deep understanding of how each algorithm can contribute to Tuberculosis detection. The evaluation of four classification algorithms, namely Logistic Regression (LR), K-Nearest Neighbor (K-NN), Random Forest (RF), and Naive Bayes (NB), in detecting Tuberculosis (TB) was conducted using a dataset comprising various clinical and biological features related to Tuberculosis. The research findings indicate that the Random Forest and K-NN algorithms achieved the highest accuracy of 99.8%, followed by Logistic Regression with 99% accuracy and Naive Bayes. Considering these research findings, the next steps may involve the development of more efficient detection methods based on the combination or enhancement of the evaluated algorithms. Additionally, this research can also serve as a foundation for guiding efforts in early treatment planning for individuals infected with Tuberculosis
Co-Authors Apriyanto, Mulono Aziz, Faruq Fatah, Teddy Al Hendri Maulana Ispandi Ispandi, Ispandi Ma'mun, Sukrul Ma’mun, Sukrul Ninsix, Retti Retti Ninsix Rusdi Rusdi Sri Wahyuni Syarip Syarip Tanjung, Hery Bachrizal Yohannes Sardjono