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All Journal Techno.Com: Jurnal Teknologi Informasi CESS (Journal of Computer Engineering, System and Science) Proceeding SENDI_U Journal of Information Technology and Computer Science (JOINTECS) INTEGER: Journal of Information Technology JICTE (Journal of Information and Computer Technology Education) Network Engineering Research Operation [NERO] J I M P - Jurnal Informatika Merdeka Pasuruan Conference on Innovation and Application of Science and Technology (CIASTECH) Jurnal Masyarakat Merdeka (JMM) JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) SPIRIT Jurnal Teknik Mesin dan Mekatronika (Journal of Mechanical Engineering and Mechatronics) Jurnal Mnemonic Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Darmabakti : Junal Pengabdian dan Pemberdayaan Masyarakat HOAQ (High Education of Organization Archive Quality) : Jurnal Teknologi Informasi Rainstek : Jurnal Terapan Sains dan Teknologi Sinergi Polmed : Jurnal Ilmiah Teknik Mesin Jurnal Pengabdian Bukit Pengharapan BIMASAKTI Akiratech Prosiding SeNTIK STI&K
Rudi Hariyanto
Univeristas Medeka Pasuruan
Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Social Sciences Transportation Other

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APLIKASI PENCARIAN LOKASI DAN INFORMASI TAMAN PENDIDIKAN AL-QUR’AN KOTA KUPANG BERBASIS ANDROID Hariyanto, Rudi; Malahina, Edwin A. U.; Sumarlin, Sumarlin
HOAQ (High Education of Organization Archive Quality) : Jurnal Teknologi Informasi Vol. 11 No. 2 (2020): Jurnal HOAQ - Teknologi Informasi
Publisher : STIKOM Uyelindo Kupang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52972/hoaq.vol11no2.p81-89

Abstract

Kupang city is one of the cities in Indonesia that has a high level of religious tolerance, this is supported by the Peace Gong archipelago, but this is inversely proportional to religious education in the city of Kupang, especially the Islamic religious education because of lack of religious instruction in formal education institutions . The Qur'an Educational Park is an institution that plays an important role in providing religious education, the procedure of reading and understanding al-quran. But the lack of community knowledge about the location of the Quranic Education Park has left the public confused to find and choose the right religious education institutions to give their children education about religion. For that, there need to be built an application that can display the location and information about the Qur'an Educational Park located in the city of Kupang. With Android-based development, it will simplify the community because Android smartphone users are quite a lot and ensure the accuracy of user location data. In addition to showing the location, the application will also provide information about the Qur'an Educational Park in Kupang City that has been marked on google maps.
Klasifikasi Jenis Penyakit Mata Katarak Menggunakan Metode K-Nearest Neighbors (KNN) Rizki Ikhwan Pamuji; Dian Ahkam Sani; Rudi Hariyanto
CESS (Journal of Computer Engineering, System and Science) Vol. 10 No. 2 (2025): Juli 2025
Publisher : Universitas Negeri Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24114/cess.v10i2.67786

Abstract

Katarak merupakan gangguan penglihatan yang terjadi akibat kekeruhan pada lensa mata, umumnya disebabkan oleh proses degeneratif, paparan radikal bebas, atau gangguan lain seperti glaukoma. Diagnosis dini sangat penting untuk mencegah komplikasi, namun metode konvensional memerlukan pemeriksaan manual yang memakan waktu. Penelitian ini bertujuan mengembangkan model klasifikasi katarak menggunakan algoritma K-Nearest Neighbors (KNN), sebuah pendekatan non-parametrik yang menentukan kelas berdasarkan kedekatan fitur terhadap data pelatihan. Dataset yang digunakan terdiri dari 300 data dengan 26 atribut, dan dibagi dengan rasio 80:20. Hasil evaluasi menunjukkan bahwa KNN dengan parameter k=3 mampu menghasilkan akurasi sebesar 98,33% dengan precision 99%, recall 99%, serta f1-score 99% pada macro average dan pada weight average mendapatkan precision 98%, recall 98%, serta f-score 98%. Temuan ini menunjukkan bahwa KNN efektif dalam mendeteksi jenis penyakit mata katarak, meskipun masih terdapat ruang untuk pengembangan lebih lanjut melalui peningkatan jumlah data, teknik preprocessing yang lebih variatif, serta eksplorasi metode klasifikasi lain guna memperoleh hasil yang lebih optimal. 
Co-Authors Achmad Basuki Alamsyah, Muslim Alfani, Syahrul Alwan, Muchammad Faiq Anang Aris Widodo Anang Aris Widodo Andre Maulana Anggadimas, Nanda Martyan Aprilia, Yunita Nur Dian Ahkam Sani Edwin Ariesto Umbu Malahina Erwantiningsih, Eni Erwin Hermawan Hidayat, Faris Indrawan, Adysta Marsha Khalimatus Sa’diyah Kurniawan, Pradhana Lestari, Dicky Candra Mochammad Firman Arif Mohammad Zoqi Sarwani, Mohammad Zoqi Muhammad Hanif Muhammad Idris Muhdi . Purba, Hansian Putri, Nabila Ratna Zulfarosda Ridwan, M.Ridwan Rini Nur Hasanah Rizki Ikhwan Pamuji Roni Wibowo S Sumarlin Safaatulloh, Safaatulloh Saputro, Harinudin Sultoni - Taufiq Dwi Cahyono Udin, Muhammad VITA FIBRIYANI, VITA Widiharsa, Fransiskus Asisi Widyastuti, Ike Wiwien Hadikurniawati Yanuar Arifin Zuhal Maftuh Ahnan, Zuhal Maftuh