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All Journal JURNAL INFORMATIKA Conference on Innovation and Application of Science and Technology (CIASTECH) JSI (Jurnal sistem Informasi) Universitas Suryadarma Scientific Journal of Informatics G-Tech : Jurnal Teknologi Terapan Community Development Journal: Jurnal Pengabdian Masyarakat GANDRUNG: Jurnal Pengabdian Kepada Masyarakat Jurnal Aplikasi Teknologi Informasi dan Manajemen (JATIM) Journal of Students‘ Research in Computer Science (JSRCS) As-Sidanah : Jurnal Pengabdian Masyarakat Jurnal Sistem Informasi, Teknik Informatika dan Teknologi Pendidikan (JUSTIKPEN) Al-Khidmah Jurnal Pengabdian Masyarakat JUSTIFY : Jurnal Sistem Informasi Ibrahimy Jurnal Pengabdian Kolaborasi dan Inovasi IPTEKS JEECS (Journal of Electrical Engineering and Computer Sciences) Journal Of Computer Science And Technology JURNAL ILMIAH SAINS TEKNOLOGI DAN INFORMASI "JAMASTIKA" Jurnal Mahasiswa Teknik Informatika Jurnal Ilmiah Multidisiplin Nusantara Jurnal Cendekia Mengabdi Berinovasi dan Berkarya Jurnal Pengabdian Sosial GEMBIRA (Pengabdian Kepada Masyarakat) NGARSA: Journal of Dedication Based on Local Wisdom JUAN: Jurnal Pengabdian Nusantara Jurnal Riset Teknik Komputer Jurnal Pengabdian Masyarakat Ekonomi dan Bisnis Digital Jurnal Padamu Negeri Jurnal Sistem Informasi Karya Anak Bangsa Journal Educational Research and Development Journal Dekstop Application (JDA) Jurnal Teras Pengabdian Masyarakat (JISCO) Journal of Information System and Computing NJCOM: Community Service Journal Jurnal Pengabdian Masyarakat Multidisiplin Journal Of Global Computer Science
Fatah, Zaehol
Fakultas Sains Dan Teknologi Universitas Ibrahimy
Religion Agriculture, Biological Sciences & Forestry Humanities 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 Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mechanical Engineering Physics Public Health Social Sciences Other

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IMPLEMENTATION OF PARTICIPATORY RURAL APPRAISAL TO ASSIST THE ADMISSION OF NEW STUDENTS AT SALAFIYAH SYAFI'IYAH ISLAMIC BOARDING SCHOOL SUKOREJO SITUBONDO Ahmad Homaidi; Lukman Fakih Lidimilah; Zaehol Fatah
As-Sidanah Vol 2 No 2 (2020): OKTOBER
Publisher : LP2M Universitas Ibrahimy

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (720.344 KB) | DOI: 10.35316/assidanah.v2i2.927

Abstract

The acceptance of new information technology-based islamic students at the Salafiyah Syafi'iyah Sukorejo Situbondo Islamic Boarding School still needs assistance because not all of the human resources who are assigned to the committee for new santri have expertise in the field of information technology. Implementation of assistance using Participatory Rural Appraisal (PRA) with the aim that all parties play an active role in analyzing and solving problems. Based on the problems faced since the implementation of new islamic students admissions in 2017, the mentoring facilitators then took the initiative to conduct a discussion forum to reconsider and build idealism between policy makers and users regarding the new santri acceptance model using information technology. The facilitator provides an overview of the system that is running, and explains the weak points and what should be developed in what parts. Then the leaders and policy holders as well as users in the field were asked to convey what they had in mind regarding the implementation of the acceptance of new students. From here comes the absorption of aspirations from the musyawirin present at the forum, this is what is expected from the implementation of PRA, namely encouraging the community to take part in making improvements and analyzing the development of the implementation of new santri admissions and providing input in system development to suit the direction of development.
EKSTRAKSI FITUR BERBASIS AVERAGE FACE UNTUK PENGENALAN EKSPRESI WAJAH Jarot Dwi Prasetyo; Zaehol Fatah; Taufik Saleh
Jurnal Ilmiah Informatika Vol. 2 No. 2 (2017): Jurnal Imliah Informatika
Publisher : Department of Science and Technology Ibrahimy University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35316/jimi.v2i2.464

Abstract

In recent years it appears interest in the interaction between humans and computers. Facial expressions play a fundamental role in social interaction with other humans. In two human communications is only 7% of communication due to language linguistic message, 38% due to paralanguage, while 55% through facial expressions. Therefore, to facilitate human machine interface more friendly on multimedia products, the facial expression recognition on interface very helpful in interacting comfort. One of the steps that affect the facial expression recognition is the accuracy in facial feature extraction. Several approaches to facial expression recognition in its extraction does not consider the dimensions of the data as input features of machine learning Through this research proposes a wavelet algorithm used to reduce the dimension of data features. Data features are then classified using SVM-multiclass machine learning to determine the difference of six facial expressions are anger, hatred, fear of happy, sad, and surprised Jaffe found in the database. Generating classification obtained 81.42% of the 208 sample data.
EFISIENSI PRESENSI DAN PENGGAJIAN KARYAWAN MENGGUNAKAN QR CODE DAN GEOLOKASI Nur Azizah; Ahmad Homaidi; Irma Yunita; Lukman Fakih Lidimilah; Taufik Saleh; Jarot Dwi Prasetyo; Zaehol Fatah
Conference on Innovation and Application of Science and Technology (CIASTECH) CIASTECH 2022 Transisi Global dalam Mencapai SDGs 2030
Publisher : Universitas Widyagama Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Presensi merupakan sesuatu yang penting karena mempunyai pengaruh terhadap gaji karyawan dan produktivitas lembaga. Proses presensi di lembaga saat ini dilakukan dengan menggunakan model konvensional dengan menandatangani lembar presensi, yang kemudian hasil rekapitulasinya digunakan sebagai perhitungan gaji karyawan. Pengisian presensi tersebut kadang dilakukan menjelang akhir bulan, sehingga tingkat validitasnya berkurang, bahkan kesalahan dalam melakukan rekap presensi menjadi penyebab tidak sesuainya gaji karyawan. Hal tersebut juga mengakibatkan revisi berkepanjangan jika ditemukan setelah proses permohonan pencairan keuangan bulanan. Berdasarkan permasalahan tersebut, dirasa sangat penting untuk membangun sistem informasi untuk menangani presensi dan penggajian karyawan agar lebih efektif dan efisien dengan memanfaatkan QR Code dan geolokasi. Metode Waterfall dengan tahapan communication, planning, modelling, construction, dan deployment menjadi pilihan utama dalam penelitian ini. Hasil yang didapatkan dari penelitian ini adalah sebuah sistem aplikasi yang membantu meiningkatkan efisiensi proses presensi dan penentuan gaji karyawan, sehingga dapat mempercepat dan memudahkan dalam proses pengajuan pencairan keuangan. Hasil pengujian menunjukkan fitur yang disediakan dalam sistem sudah mengakomodir kebutuhan pengguna, sesuai dengan aturan yang berlaku dan dinyatakan valid.
SISTEM INFORMASI EVALUASI KINERJA BIDANG KESEHATAN DI UPT PUSKESMAS ASEMBAGUS Cindy Nur Dina Alifia; Zaehol Fatah; Neny Yuli Susanti
JUSTIFY : Jurnal Sistem Informasi Ibrahimy Vol. 1 No. 1 (2022): JUSTIFY : Jurnal Sistem Informasi Ibrahimy
Publisher : Fakultas Sains dan Teknologi, Universitas Ibrahimy

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (364.543 KB) | DOI: 10.35316/justify.v1i1.1994

Abstract

Performance evaluation is an activity carried out to regulate health assessment standards in the Asembagus Situbondo sub-district for those who carry out examinations at the Asembagus Health Center. The data input process still uses the manual method, namely by recording using Microsoft Office Excel and carried out by one data analysis. In addition, data input takes a long time, because it consists of 7 health programs and 12 health sector indicators. With the performance evaluation information system, it is expected that data analyst officers can easily input data in a structured and efficient manner.
Perancangan Aplikasi Ujian Kompetensi Kepesantrenan di Bidang Pendidikan Tinggi Salafiyah Syafi’iyah Sukorejo Situbondo Ahmad Homaidi; Abu Dzarrin Al Ghifari; Zaehol Fatah
Jurnal Aplikasi Teknologi Informasi dan Manajemen (JATIM) Vol 4 No 1 (2023): Jurnal Aplikasi Teknologi Informasi dan Manajemen (JATIM) April 2023
Publisher : Universitas Islam Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31102/jatim.v4i1.2051

Abstract

Salah satu syarat mahasiswa dapat mengikuti munaqosah dan wisuda sarjana adalah harus lulus ujian kepesantrenan yang dilaksanakan oleh Bidang Pendidikan Tinggi. Pelaksanaan ujian kompetensi kepesantrenan ini masih banyak menyisakan masalah diantaranya terjadinya antrean panjang, kesulitan dalam proses penjadwalan karena harus menyesuaikan kapasitas ruangan dan penguji dengan jumlah pendaftar yang banyak. Selain itu petugas juga kesulitan dalam merekap nilai dari para penguji untuk masing-masing pendaftar. Permasalahan yang selama ini dirasakan tentunya dapat menghambat pelayanan sehingga menjadi kurang optimal. Penelitian ini bertujuan untuk membangun aplikasi yang dapat memudahkan dalam pengelolaan ujian kompetensi kepesantrenan agar layanan proses ujian kompetensi kepesantrenan ini menjadi lebih efektif dan efisien. Tahapan-tahapan dalam penelitian ini menggunakan metode waterfall, dengan harapan penelitian dapat dilakukan dengan terorganisir dengan baik. Hasil yang didapatkan dari penelitian ini dapat memudahkan pelayanan pendaftaran ujian kompetensi kepesantrenan berikut administrasi lainnya, sehingga laporan kepada pimpinan menjadi lebih cepat dan akurat. Hasil pengujian aplikasi menunjukkan kepuasan dari para pengguna sebesar 90%.
Implementasi Metode K-Nearest Neighbors (KNN) untuk Klasifikasi Penyakit Jantung ahmad yogianto; Ahmad Homaidi; Zaehol Fatah
G-Tech: Jurnal Teknologi Terapan Vol 8 No 3 (2024): G-Tech, Vol. 8 No. 3 Juli 2024
Publisher : Universitas Islam Raden Rahmat, Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33379/gtech.v8i3.4495

Abstract

Heart disease is one of the leading causes of death globally. This disease is also called coronary heart disease. This heart disease occurs when blood entering the heart muscle is stopped/blocked, the result of this condition is that it causes serious damage to the heart. Even though this disease is not contagious, data from the World Health Organization (WHO) states that this cardiovascular disease claims around 17.9 million lives every year. The dataset used in this research consists of 303 data and consists of 14 attributes that can be used to predict the possibility of heart disease. The application used is Rapidminer version 9.10 and the method used is the K-Nearest Neighbors (KNN) method, this method is a method for classifying objects based on learning data that is closest to the object. The results of the KNN method with parameter K=5 are that the accuracy value obtained is 64.03%, the precession value is 64.58%, and the recall value obtained is 75.15%.
Penerapan Metode Naïve Bayes Untuk Menentukan Penerima Kartu Indonesia Pintar (KIP) zainur rohman; Ahmad Homaidi; Zaehol Fatah
G-Tech: Jurnal Teknologi Terapan Vol 8 No 3 (2024): G-Tech, Vol. 8 No. 3 Juli 2024
Publisher : Universitas Islam Raden Rahmat, Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33379/gtech.v8i3.4573

Abstract

The Indonesia Smart Card is issued by the government to help educators from poor or vulnerable families to continue their education. However, there are still obstacles in the distribution of government assistance, there are still many poor and vulnerable groups of people who do not receive assistance. Thus, calculations are needed that are accurate and easy to carry out. The Naive Bayes algorithm is applied to answer this problem. The resulting accuracy level is accuracy = 84.00%, precision = 75.00% and recall = 75.00%, so it can be concluded that this algorithm is suitable for calculating the eligibility of recipients of government assistance in question.
Sistem Pendukung Keputusan Penerimaan Siswa Baru di MTS Bustanul Ulum Menggunakan Metode SMART (Simple Multi-Attribute Rating Technique) Lukman Aliyasin; Zaehol Fatah; Akhlis Munazilin
G-Tech: Jurnal Teknologi Terapan Vol 8 No 3 (2024): G-Tech, Vol. 8 No. 3 Juli 2024
Publisher : Universitas Islam Raden Rahmat, Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33379/gtech.v8i3.4732

Abstract

Education is a fundamental need for every individual that must be fulfilled to lead a life. Furthermore, education plays a crucial role in shaping one's personality, enabling them to become a beneficial member of society and the nation. Madrasah Tsanawiyah Bustanul Ulum is a private junior high school that employs a ranking method for new student admissions, utilizing Microsoft Excel for the current selection system. However, this method consumes a considerable amount of time due to various criteria. The solution to address this issue is the implementation of a multi-criteria decision support system. This research employs the SMART (Simple Multi-Attribute Rating Technique) method because it facilitates accurate decision-making
Implementasi Algoritma Support Vector Machine Untuk Klasifikasi Status Stunting Pada Balita Abdul Jalil; Ahmad Homaidi; Zaehol Fatah
G-Tech: Jurnal Teknologi Terapan Vol 8 No 3 (2024): G-Tech, Vol. 8 No. 3 Juli 2024
Publisher : Universitas Islam Raden Rahmat, Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33379/gtech.v8i3.4811

Abstract

In Indonesia, the main health problem is stunting or dwarfism in toddlers due to chronic malnutrition. This study uses the Support Vector Machine (SVM) algorithm to classify the stunting status of toddlers with high accuracy. The dataset for stunting cases in Indonesia, which includes 6500 data, consists of eight attributes: "Gender", "age", "birth weight", "body weight", "height", "exclusive action", "stunting" . This data was obtained from the public data Kaggle website. Preprocessing, such as data noise cleaning and data variable refinement, is a process stage. Next, the ready dataset is divided into twenty percent test data and eighty percent training data. The SVM algorithm that uses a "linear" kernel has an accuracy of 82%, precision of 80%, and recall of 86% when used to classify cases of stunting in toddlers. These results show that the SVM algorithm is very good at classifying stunting cases in toddlers. Next, the stunting classification model created was applied to a web application using the Streamlit framework.
Analysis of Malang University Student Achievement Grouping Using the K-Means Clustering Method Moh. Aqil Mukhtar Alfarera; Zaehol Fatah
JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 9 No. 2 (2024): JEECS (Journal of Electrical Engineering and Computer Sciences)
Publisher : Fakultas Teknik Universitas Bhayangkara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54732/jeecs.v9i2.8

Abstract

With the increasing number of students and variations in achievement, managing achievement data in higher education has become more complex, so manual methods are insufficient. K-means clustering was chosen because of its ability to group data based on specific attributes, which makes it easier to identify patterns and trends. This research aims to prove K-Means' effectiveness in analyzing achievement data and adding to the literature regarding the application of data mining in education. The dataset includes student achievement indexes from various study programs at the University of Malang from 2018 to 2022. The data is processed to group student achievements efficiently. The clustering model was built using one of the algorithms in the clustering method, namely K-Means. This research produced the best cluster with a total of 3 clusters. The process was conducted to determine the best grouping by testing six cluster models. The best cluster was selected using the Davies Bouldin index test. Based on research with the results, these three groups can be categorized as cluster 0 in the low category with a value of 100, cluster 1 in the high category with a value of 4.100, and cluster 2 in the middle category with a value of 1.900.
Co-Authors Abd. Moeqshit Abdul Jalil Abu Dzarrin Al Ghifari Achmad Baijuri Achmad Nanung Fambriyadi Adinia Zulfa nurany Afdhaliyah Ramadhatul Fitriyah Agel Ahmad Maulana Agus Hamid Cholil Ahmad Afif Azmi Ahmad Efendi Ahmad Farissul Haq Ahmad Fauzan Ahmad Homaidi Ahmad Muflih Wafir Ahmad Wahyu Fernando Ahmad Yasin Ahmad Yogianto Ahmada Ilham Huzaini Ainur Yakin Aisyah Putri Sabrina Akhlis Munazilin Ali Muhajir Alifan Ibrohim Alvananta Farhan Maulana Alvina Jelita Firdaus Angga Saputra Anis Mukarromah Anisatul Rhodiah Ardila Dwi Putri Asvic Baid Anbala As’ad Alwi Shihab Auliya Auliya Bayu Ainur Rifki Cindy Nur Dina Alifia Daniel As’ad Amrullah dewi khoirunisak Dhiyaul Haq Hasan Dofiyanto Dwi Inayatul Fadila Dwi Norrepa Egi Gusnandi Pratama Endah Wahyu Rizki Eny Itsnainy Agustin Evvatun Nafiah Faqih Nur Rahman Farizal Maulana Sopyan Fikri Febrian Filsa Salsabila Fitra Lia Shofiah Hilma Aufini Ika Ayu Herlina Imam Nawawi Indra Hidayatullah Sofyan Intan Nayla Widad Hidayat Iqbal Saputra Irma Siftiana Irma Yunita Irma Yunita Jarot Dwi Prasetyo Jarot Dwi Prasetyo Karomah Nikmatul Maula Khoiriyah Agustin Ulumiyah Kiki Setiawan Heri Ananda Putra Lailatul Badriya Lailatur Romadhaniyah Lisa Muhfidha Lukman Aliyasin Lukman Fakih Lidimilah Lummatul Aisi aisi M. Fazlur Rahman Assauqi Madatahliya Mahattir Rahman Muhammad Mahmudi Mahmudi Manisa Sopia Mori mori Maridatul Husna Mas’udah masudah Maulidya Hanun Mayla Dini Zakkia Mita Abelia Moh Nailul Fahmi Moh. Aqil Mukhtar Alfarera Moh. Bahauddin Mohamad Afil Nadiq Nabil Mohammad Hadi Sujatmiko Mohammad Zainuddin Muhamad Iqbal Facruzi Muhammad Al Madany Muhammad Ilzam Asrori Muhammad Irsyad Syarif Muhammad Marizal Muhammad Muhajir Saddami Muhammad Nabil Dhiya’ul Haq Muhammad Nur Alif Haqiqi Muhammad Salman Al Farisy Muhammad Syafiq Muhammad Zakaria Muwasatil Muhtajin Nafilil Madani Al-Qur’ani Naila Ismi Fadila Nasywa Faiz Atillah Mifta Nauradhia Shofarianti Putri Nazwa Andita Neny Yuli Susanti Neny Yuli Susanti Nori Nur Fasratul Aini Nur Aini Nur Azizah Nur Kamila Nurul Lailiyah Putri Ghina Ardhika Putri Ilma Raudatuss Syifa Putri Navizah Qurrotul A'yun Rafi Jaabil Haqqi Rahmat Syarifuddin Chairil Anwar Rendi Aldiansyah Resti Aprilianingsih Riana Agustin Rifki Dwi Saputra Rinayatul Fadilah Riskiyatul Hasanah Risma Nur Kholishah Rofi Dian Andini Rofiatul Aulia Rohiqim Mahtum Rohiqim Mahtum Roy Hamdan Samsul Shinta Nuriyah Lailatul Iqrimah Siti Afiyah Suryadi Rahmah Siti Farhatus Shofiyyah Sitti Hafidzaturrafiah Sofiatuz Zamani Sri Wahyuni Supandi Syadza Najwatis Shaleha Syafiq Ilham Hakim Syamsul Arifin Syarif Hidayatullah Syariful Abrori Taufik Saleh Taufik Saleh Tawakal, Anzori Tilawatus Syarqiyah Tuti Alawiyah Ubay Dillah Mas’ud Ulfatun Najiyah Ummariyatul Fitriyah Ummul Karimah Uny Khafifah Uswatul Muftakiyah Wahyu Achmad Putra wardatun nafisa wardhatun khasanah Yaumil Farah Zainal Mu'en Zainul Arifin Alwi Al Qayyis Zainur Rohman Zeinurrahman Zeinurrahman