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All Journal Jurnal Pendidikan Seni Rupa Manajemen Sumber Daya Manusia Jurnal Harpodon Borneo Program Kreativitas Mahasiswa - Kewirausahaan Buletin Keslingmas Masyarakat, Kebudayaan dan Politik Sistemasi: Jurnal Sistem Informasi JURNAL KESEHATAN LINGKUNGAN: Jurnal dan Aplikasi Teknik Kesehatan Lingkungan Promotif: Jurnal Kesehatan Masyarakat HIGIENE: Jurnal Kesehatan Lingkungan Wikrama Parahita : Jurnal Pengabdian Masyarakat SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan Jurdimas (Jurnal Pengabdian Kepada Masyarakat) Royal Jurnal Informatika Ekonomi Bisnis AUTOCRACY: Jurnal Otomasi, Kendali, dan Aplikasi Industri Jurnal Kesehatan Masyarakat Mulawarman (JKMM) Ruwa Jurai: Jurnal Kesehatan Lingkungan COMMUNITY : Jurnal Pengabdian Kepada Masyarakat Jurnal Keperawatan Klinis dan Komunitas (Clinical and Community Nursing Journal) Indonesian Journal Computer Science (ijcs) Tarumanagara Medical Journal JURNAL SANITASI LINGKUNGAN Jurnal Informatika Ekonomi Bisnis Global Education Journal Sabangka Abdimas Jurnal Pengabdian Masyarakat Sabangka Jurnal Ilmiah Computer Science VISA: Journal of Vision and Ideas Jurnal Globalisasi Hukum Media Teknologi dan Informatika Jurnal Ilmiah Sistem Informasi Akuntansi (JIMASIA)
DENY KURNIAWAN
Jurusan Teknik Informatika, Fakultas Teknik, Universitas Muhamadiyah Jember
Agriculture, Biological Sciences & Forestry Arts Humanities Biochemistry, Genetics & Molecular Biology Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Medicine & Pharmacology Nursing Public Health Social Sciences Other

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Evaluasi Kinerja Divisi Logistik Berbasis Sistem Pendukung Keputusan dengan Pendekatan OWH-TOPSIS Ariany, Fenty; Kurniawan, Deny
Jurnal Ilmiah Computer Science Vol. 3 No. 2 (2025): Volume 3 Number 2 January 2025
Publisher : PT. SNN MEDIA TECH PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58602/jics.v3i2.49

Abstract

The performance of the Logistics Division is one of the important indicators in ensuring the smooth flow of goods, information, and resources in an organization. The optimal performance of the logistics division can be seen from the ability to meet delivery time targets, operational cost efficiency, order fulfillment accuracy, and adaptability to changes in market demand. One of the main problems is that the assessment criteria are not clear or relevant, so the assessment results do not reflect the actual abilities and contributions of employees. In addition, there is a lack of measurable quantitative data to identify operational performance. The solution to this problem involves the application of structured, objective, and data-driven evaluation methods, as well as the development of systems that support transparency in the assessment process. This study aims to evaluate the performance of the Logistics Division objectively and comprehensively using the decision support system approach based on OWH-TOPSIS, so as to provide a transparent, accurate, and relevant performance evaluation system to support strategic decision-making related to improving the performance of the Logistics Division. The results of the ranking of the performance evaluation of the logistics division, Team D showed the best performance with the highest score, which was 0.882. In second place, Team A has a score of 0.8341, followed by Team B with a score of 0.8255. Meanwhile, Team C occupies the last position with the lowest score of 0.6831. This difference in scores indicates that there is a variation in performance between teams, with Team D significantly superior to other teams.
Tingkat Kebersihan Peralatan Penjamah dengan Cemaran Bakteri Eschericia Coli dan Coliform pada Depot Air Minum Isi Ulang di Kelurahan Air Putih Putri, Mirna Aulia; Kurniawan, Deny; Praminingsih, Vita
VISA: Journal of Vision and Ideas Vol. 5 No. 3 (2025): Journal of Vision and Ideas (VISA)
Publisher : IAI Nasional Laa Roiba Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47467/visa.v5i3.9956

Abstract

Water is an essential ingredient in human life, as every living creature desperately needs water. Businesses that typically manage drinking water are Refill Drinking Water Depots (DAMIU) to meet human needs in both unpackaged and bulk forms. One type of bacteria found in the intestine is Escherichia coli (E. coli). Some of these bacteria are pathogenic and can cause disease in humans. The purpose of this paper is to identify the cleanliness of drinking water depot facilities in the Air Putih sub-district and to identify E. coli and coliform content in these facilities. This study used descriptive research with an observational approach. Based on the results of the observation sheet previously described, a total of 14 DAMIUs were studied. The relationship between the presence of coliform and the presence of coliform bacteria was found in 14 DAMIUs. This finding is supported by a study. Other research also indicates that 63.3% of handlers do not meet the requirements. The conclusion of this study is that the cleanliness of drinking water depot facilities in the Air Putih sub-district area is descriptively good. However, 5 of the 14 DAMIUs contained coliform bacteria, while the other 9 were free of coliform.
Prototipe CRITTING BADOT (Car Security System Monitoring Based on STNK) Nasruloh, Agan; Kurniawan, Deny; Subekti, Massus
Autocracy: Jurnal Otomasi, Kendali, dan Aplikasi Industri Vol. 4 No. 02 (2017): Otomasi, Kendali, dan Aplikasi Industri
Publisher : LPPM Universitas Negeri Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (410.918 KB)

Abstract

The crime of burglary vehicle accompanied also by forgery vehicle registration certificate of vehicle number.For it, needed CRITING BADOT (Car Security System Monitoring Based On Stnk), an apparatus capable of preventing motor vehicle theft by means of technology RFID and SMS Gateway, blends the ignition and vehicle registration into a single entity, change the key of the car being contact id card, capable of being on the monitoring of the position the car.This tool requires the driver to be always bring vehicle registration wherever, because the vehicle registration was also serves as the ignition.The prototype CRITTING BADOT use RFID, Arduino Mega 2560 , 4x4 Keypad, GPS module, GSM module coupled be a system of that runs well.RFID used to read id of vehicle registration to turn a valve gasoline and keypad serves to enter password as well as turn the stater relay.When the existence of acts of theft with breaking into the door, then with the same time GPS going to read the position of the car and send data in the form of the point GPS coordinates using SMS Gateway to the cell phone number owners who have determined.This system having the difference reading GPS with google maps an average of 3,678 meters and reading tag RFID maximum 4,5 cm. Kejahatan pencurian kendaraan disertai juga dengan pemalsuan STNK (Surat Tanda Nomor Kendaraan). Untuk itu, dibutuhkanlah CRITING BADOT (Car Security System Monitoring Based on STNK), suatu alat yang mampu mencegah pencurian kendaraan bermotor dengan menggunakan teknologi RFID dan SMS Gateway, mengefisiensikan kunci kontak dan STNK menjadi satu kesatuan, mengubah kunci kontak mobil menjadi ID Card, mampu memonitoring posisi mobil. Alat ini mengharuskan pengemudi agar selalu membawa STNK kemana pun, karena STNK tersebut juga berfungsi sebagai kunci kontak. Prototipe CRITTING BADOT menggunakan RFID, Arduino Mega 2560, Keypad 4x4. Modul GPS, Modul GSM yang dipadukan menjadi sistem yang berjalan dengan baik. RFID berfungsi membaca ID dari STNK untuk mengaktifkan katup bensin dan keypad berfungsi untuk memasukkan password serta mengaktifkan relay stater. Ketika adanya tindak pencurian dengan membobol pintu, maka dengan waktu bersamaan GPS akan membaca posisi mobil dan mengirim data GPS berupa titik koordinat menggunakan SMS Gateway kepada nomor ponsel pemilik yang telah ditentukan. Sistem ini memiliki selisih pembacaan GPS dengan google maps rata-rata sebesar 3,678 Meter dan pembacaan tag RFID maksimal 4,5 CM.
Edukasi pencegahan stunting melalui sanitasi pengelolaan sampah dan higiene di SD Muhammadiyah 4 Samarinda Pramaningsih, Vita; Agustina, Fitriyati; Saputra, Harun; Aulia, Najwa; Atoillah, Nizar; Kurniawan, Deny
SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan Vol 8, No 2 (2024): June
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/jpmb.v8i2.23352

Abstract

Abstrak Stunting merupakan masalah kesehatan global yang memengaruhi pertumbuhan dan perkembangan anak-anak, dengan dampak jangka panjang terhadap kesehatan dan produktivitas manusia. Salah satu faktor yang berkontribusi pada tingginya angka stunting adalah kurangnya akses dan praktik kebersihan sanitasi yang baik, termasuk pengelolaan sampah. Lingkungan yang kotor dan tercemar dapat menyebabkan penyebaran penyakit, mengganggu penyerapan nutrisi. Maka perlu mengedukasi masyarakat sejak dini terkhusus pada siswa SD dan lingkungan sekolah. Metode pengabdian masyarakat ini dilakukan dengan kegiatan penyuluhan, ceramah, diskusi dan demonstrasi praktek langsung tentang sanitasi pengelolaan sampah. Hasil menunjukkan peningkatan yang signifikan dalam pemahaman tentang stunting dan pengelolaan sampah di kalangan siswa setelah dilakukan edukasi. Hal ini tercermin pada hasil pre test dan post test yang menunjukan peningkatan pemahaman pengetahuan. Pemahaman siswa, guru sebelum pemberian edukasi tentang stunting masih kurang dibandingkan pemahaman tentang pengelolaan sampah. Responden yang menjawab benar pada pretest untuk materi stunting lebih rendah kurang dari 50% dibanding dengan materi pengelolaan sampah. Kegiatan edukasi baik berupa penyuluhan maupun pendampingan perlu dilakukan pada lingkungan masyarakat sekolah maupun masyarakat umum, untuk mendukung penurunan stunting. Pemahaman yang dimikili siswa dan masyarakan menjadi modal awal untuk merubah perilaku mereka untuk menyadari akan pentingnya hidup bersih dan sehat dengan mewujudkan sanitasi dan hygiene. Kata kunci: edukasi; stunting; sampah; hygiene. Abstract Stunting is a global health problem that affects children's growth and development, with long-term impacts on human health and productivity. One of the factors contributing to the high rate of stunting is the lack of access to and practice of good sanitation hygiene, including waste management. A dirty and polluted environment can lead to the spread of disease, disrupting the absorption of nutrients. So it is necessary to educate the community from an early age, especially for elementary school students and the school environment. This community service method is carried out through counseling activities, lectures, discussions, and practical demonstrations on waste management and sanitation. The results showed a significant increase in understanding of stunting and waste management among students after education. This is reflected in the pre-test and post-test results, which show an increase in knowledge and understanding. The understanding of students and teachers before providing education about stunting is still less than the understanding of waste management. Respondents who answered correctly on the stunting material were lower than the waste management material. Educational activities in the form of counseling and mentoring need to be carried out in the school community and with the general public to support the reduction of stunting. The understanding that students and the community have is the initial capital to change their behavior to realize the importance of living clean and healthy by realizing sanitation and hygiene. Keywords: education; stunting; waste; hygiene.
Islamic Boarding School Education and the Relevance of Jihad Fiqh in the Book Fathul Mu'in an Effort to Promote Moderate Islamic Teachings Kurniawan, Deny; Rohmatin, Yuani
Global Education Journal Vol. 4 No. 1 (2026): Global Education Journal (GEJ)
Publisher : Civiliza Publishing, Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59525/gej.1415

Abstract

Islamic boarding schools and Islamic books are inseparable in contributing to Islamic education in Indonesia, fostering a human civilization that upholds humanitarian values, thus safeguarding life, reason, religion, lineage, and property. Islamic books are sources of knowledge that can maintain diversity in a pluralistic society. One such book that discusses the jurisprudence of jihad isFathul Mu'in, a book written by Shaykh Zainuddin Abdul Aziz Al Malibari Al Fanani and narrated by Sayyid Abi Bakr Syatho with his essay I'anatu At Tholibinreviews one chapter that is worthy of academic scrutiny, namely the Jihad chapter which reviews the meaningAl QitaalIn the perspective of jihad, which is still relevant today, namely the law of jihad and the forms of jihad. Moreover, this book provides the meaning of the purposeAl QitalisAl Hidayahnot war, and able to implement jihad methods that are not extreme and maintain the five main principles of religion. This research islibrary researchwith the main bookFathul Muin and the explanation is the book Ianatu Attholibinespecially in the chapter on jihad as the main reference in searching for data, then reducing the data and analyzing and concluding it using the analysis methodtext interpretationThis research indicates that the yellow books taught in Islamic boarding schools are capable of addressing religious issues to this day. This provides a source of confidence that Islamic boarding schools and their yellow books are capable of addressing the challenges of the times and the problems of life in the archipelago
Perbandingan Kinerja Algoritma Machine Learning dalam Klasifikasi Penyakit Fundus Menggunakan Citra Fundus Digital Kurniawan, Deny; Triyanto, Dedi; Sari Marita, Lita; Christian, Ade; Sumanto, Sumanto
Jurnal Ilmiah Sistem Informasi Akuntansi Vol. 5 No. 2 (2025): Volume 5, Nomor 2, December 2025
Publisher : Universitas Teknokrat Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33365/jimasia.v5i2.1476

Abstract

Penyakit fundus mata seperti diabetic retinopathy, cataract, dan glaucoma merupakan penyebab utama gangguan penglihatan hingga kebutaan apabila tidak terdeteksi sejak dini. Diagnosis penyakit fundus secara konvensional masih sangat bergantung pada penilaian visual tenaga medis, yang berpotensi menimbulkan subjektivitas dan keterlambatan penanganan. Oleh karena itu, penelitian ini bertujuan untuk menerapkan dan membandingkan metode machine learning dalam mendeteksi penyakit fundus berdasarkan citra fundus digital serta menentukan algoritma dengan kinerja terbaik. Penelitian ini menggunakan dataset publik yang terdiri dari 600 citra fundus yang terbagi secara seimbang ke dalam empat kelas, yaitu Normal, Background Diabetic Retinopathy, Cataract, dan Glaucoma, dengan masing-masing kelas berjumlah 150 citra. Dataset dibagi menjadi data training dan data testing dengan rasio 80:20. Tiga algoritma machine learning yang digunakan adalah Support Vector Machine (SVM), K-Nearest Neighbors (KNN), dan Random Forest. Evaluasi kinerja model dilakukan menggunakan metrik akurasi, precision, recall, dan F1-score. Hasil penelitian menunjukkan bahwa seluruh model mampu mencapai tingkat akurasi di atas 80%, dengan SVM menghasilkan akurasi tertinggi sebesar 88,0%, diikuti oleh KNN sebesar 87,7% dan Random Forest sebesar 82,5%. Hasil ini menunjukkan bahwa metode machine learning, khususnya SVM, efektif digunakan dalam mendeteksi penyakit fundus dan berpotensi dikembangkan sebagai sistem pendukung diagnosis dini. Meskipun demikian, penelitian lanjutan masih diperlukan dengan dataset yang lebih besar dan beragam untuk meningkatkan kemampuan generalisasi model.
Evaluasi Kinerja Algoritma Machine Learning SVM dan KNN pada Klasifikasi Penyakit Ginjal Triyanto, Dedi; Kurniawan, Deny; Sari Marita, Lita; Christian, Ade; Sumanto, Sumanto
Jurnal Ilmiah Sistem Informasi Akuntansi Vol. 5 No. 2 (2025): Volume 5, Nomor 2, December 2025
Publisher : Universitas Teknokrat Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33365/jimasia.v5i2.1477

Abstract

Penyakit ginjal, mulai dari penyakit ginjal kronis hingga kondisi yang lebih serius seperti kista, batu ginjal, dan tumor, merupakan masalah kesehatan global yang memerlukan deteksi dini untuk mencegah komplikasi lebih lanjut. Metode diagnosis konvensional masih bergantung pada interpretasi subjektif tenaga medis, sehingga berpotensi menimbulkan ketidakkonsistenan dan keterlambatan penanganan. Oleh karena itu, penelitian ini bertujuan untuk mengevaluasi dan membandingkan kinerja algoritma machine learning Support Vector Machine (SVM) dan K-Nearest Neighbors (KNN) dalam mendeteksi penyakit ginjal secara otomatis. Penelitian ini menggunakan dataset penyakit ginjal yang terdiri dari 4.000 data pasien yang terbagi secara seimbang ke dalam empat kelas, yaitu normal, kista, batu ginjal, dan tumor, dengan masing-masing kelas berjumlah 1.000 data. Dataset dibagi menjadi data training dan data testing dengan rasio 80:20. Proses pelatihan dan pengujian model dilakukan menggunakan algoritma SVM dan KNN, dengan evaluasi kinerja berdasarkan metrik akurasi, precision, recall, dan F1-score. Hasil penelitian menunjukkan bahwa kedua algoritma menghasilkan performa yang sangat tinggi, dengan SVM mencapai akurasi sebesar 99,6% dan KNN mencapai akurasi sebesar 99,8%. Hasil ini menunjukkan bahwa metode machine learning efektif digunakan dalam mendukung deteksi penyakit ginjal. Namun demikian, penelitian lanjutan dengan dataset yang lebih beragam dan data klinis nyata masih diperlukan untuk meningkatkan robustnes dan kemampuan generalisasi model.
Co-Authors Ade Christian, Ade AFIFAH, FIKA Amzari, Muhammad Irham Ari Hamdani, Ari Ariany, Fenty Arief Wahyudi Jadmiko Atoillah, Nizar aulia, khaidir Aulia, Najwa AZZAHRA, SHAFA BILQIS, REGINA Dedi Triyanto Dyas, Pramudya Widyastama Erfan Bahtiar, Erfan Fitriyati Agustina H.P, MUHAMMAD RIZKY SEFIYAN Indah Permata Sari ISLAMIYAH, AUDITA Lesmana, Oktavianti Dwi Lita Sari Marita MARCHELLO, WAFIQ REFALDI Marindra, Adi Mahmud Jaya Massus Subekti Maulana, Ferdian Ilham Melinda, Lia Minggus, Chenny Azalia Eka Putri Mochamad Wahyudi Muhammad Habibi Nasruloh, Agan Pemila, Uke Praminingsih, Vita Pujiastuti, Lise Putra, Kharisma Adytama Putri, Arcellia Farosyah Putri, Mirna Aulia Rabiatul Adawiyah Rachmat Adi Purnama Ramadani, Rusdiana Ramadhan, Muhammad Teddy Ekarizky Ratna Yuliawati, Ratna Rohmatin, Yuani Rusdi Rusdi Samsura, D. Ary A. Santaki, Dwi Surya Saputra, Harun Saputra, Muhammad Rizky Saputra, Pandu Jati Bayu Sarmila, Sarmila Simanjuntak, Risyhal Ramadhani Siregar, Muhammad Rahmansyah Solikhun Solikhun, Solikhun Sri Wahyuni Wulandari, Sri Wahyuni Sumanto Sumanto Sumanto, Sumanto Syamsiar, Syamsiar Tan, Firwan Triyana Sari van Deemen, A.M.A. Vita Pramaningsih Widiarti, Wiwit Widjaksana, Raihan Adji Zulkifli N