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All Journal Jurnal Studi Pemerintahan JURNAL ILMU PEMERINTAHAN Jurnal Manajemen Pelayanan Publik ARISTO Journal of Information Systems and Informatics Jurnal Ilmu Pemerintahan Suara Khatulistiwa Masyarakat Berdaya dan Inovasi Psychosophia: Journal of Psychology, religion, and humanity TheJournalish: Social and Government SEMAR (Jurnal Ilmu Pengetahuan, Teknologi, dan Seni bagi Masyarakat) Tax Literacy and Leadership Agility: Indigenous Peoples Awareness in Paying Taxes Jurnal Manajemen Publik dan Kebijakan Publik (JMPKP) Jumat Ekonomi: Jurnal Pengabdian Masyarakat Jurnal Teknisi Rengganis Jurnal Pengabdian Masyarakat Jurnal Administrasi Pemerintahan Desa Mafaza : Jurnal Pengabdian Masyarakat Prosiding University Research Colloquium JHeS (Journal of Health Studies) Al-Mu'tabar Journal of Coaching and Sports Science Jurnal Masyarakat Madani Indonesia Abdibaraya: Jurnal Pengabdian Masyarakat Warta LPM Surya Informatika Jurnal Studi Pemerintahan Sultan Adam : Jurnal Hukum dan Sosial Indonesian Governance Journal : Kajian Politik-Pemerintahan Jurnal Teknik Informatika dan Desain Komunikasi Visual
Muhammad Khozin
Universitas Aisyiyah Yogyakarta
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Medicine & Pharmacology Nursing Public Health Social Sciences Transportation Other

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Pendayagunaan Ekonomi Umat Melalui Workshop Optimalisasi Pengumpulan dan Penyaluran Zakat Khozin, Muhammad; Wilda, Zaidan Rizqia; Budiyono, Alief
Jumat Ekonomi: Jurnal Pengabdian Masyarakat Vol. 6 No. 2 (2025): Agustus
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat Universitas KH. A. Wahab Hasbullah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32764/abdimasekon.v6i2.5987

Abstract

Based on data from the Central Bureau of Statistics, Kebumen is the number 1 poorest district in Central Java. With the establishment of zakat villages in several villages in Kebumen Regency, including in Sampang Village, Sempor Subdistrict, it is hoped that it can synergize with the local government in reducing poverty. With the establishment of Sampang village as a zakat village by the Ministry of Religion of the Republic of Indonesia, the KKN Group 1 UIN Saizu Purwokerto x UIN Gusdur Pekalongan team held a workshop on Optimizing Policy Management & Empowerment of Zakat Development with the intention of being the first step of UPZ Sampang village in optimizing the policy and management of zakat that will be undertaken. This activity was carried out in three stages, namely the preparation stage, the implementation stage and the evaluation stage. The preparation stage was carried out by interviewing the head of UPZ Sampang Village and preparing the equipment that would be needed, be it MMT, finding presenters and so on. The second stage is the implementation stage, in this stage the material is delivered directly by the head of the Religious Affairs Office of the Ministry of Religious Affairs of Sempor District. The last stage is the evaluation stage, this stage aims to evaluate the activities that have been carried out and provide future views that will be carried out.
Implementasi Program Keluarga Harapan (PKH) di Kalurahan Sriharjo Kabupaten Bantul Pamungkas, Panji; Khozin, Muhammad
Jurnal Manajemen Publik dan Kebijakan Publik (JMPKP) Vol. 7 No. 2 (2025): Jurnal Manajemen Publik dan Kebijakan Publik (JMPKP)-IN PROSES
Publisher : Program Studi Administrasi Publik Universitas Muhamamdiyah Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36085/jmpkp.v7i2.8402

Abstract

Poverty is still the most pressing problem faced by Indonesia. Because poverty is the most complex problem with many aspects, this problem must be addressed immediately. The Indonesian government has innovated by developing various programs for poverty alleviation. This study aims to analyze the factors that influence the implementation of the Family Hope Program (PKH) in Sriharjo Village. This study uses a qualitative descriptive research approach in the Sriharjo Village, Imogiri District, Bantul Regency. Data were collected using observation, interview and documentation techniques. The results of the study indicate that. Limitations in understanding complex language, technical terms, and concepts of beneficiaries are less accustomed to communicating formally and in long writings. Resources from the Sriharjo Village government who have not participated in the implementation process of this PKH. Lack of PKH assistants in Sriharjo Village, where there are only 2 assistants, so the implementation process is less than optimal. The attitude of PKH assistants is committed to the implementation of this assistance program, which is monitored every month on KPM in spending their assistance. Beneficiaries are still dependent on assistance and are reluctant to leave PKH. The findings show that PKH assistants have been implemented in accordance with SOPs in accordance with the guidelines. The training received by PKH assistants can be used to improve the economy.Economic empowerment training is carried out for KPM so that they are not dependent on social assistance. KPM is also expected to be confident in graduating independently with PKH, assistants and the Srihajo Village government socialize this assistance as a stepping stone for economic improvement.
Strengthening the Branding of TKA ABA PCA Banguntapan Utara through the Optimization of English Language Skills and Entrepreneurship Mutiarin, Dyah; Sakir, Sakir; Khozin, Muhammad; Rofi, Muhammad Naufal Rofi; Supriyani, Supriyani
Warta LPM WARTA LPM, Vol. 28, No. 2, July 2025
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/warta.v28i2.10489

Abstract

Aisyiyah Bustanul Athfal Kindergarten (TKA ABA) under the auspices of the North Banguntapan PCA, as an early childhood education institution based on religious values, is committed to developing a superior generation, with noble character, and competitiveness. However, competition in the education sector demands innovative strategies to strengthen the institution's competitiveness and identity. One such strategy is to integrate English and entrepreneurship skills into the curriculum. The problems faced are suboptimal human resources in English and a lack of understanding of entrepreneurship as a means of strengthening branding. The proposed solution is mentoring and training in English and entrepreneurship. The implementation method consists of four stages: preparation, implementation, monitoring and evaluation, and follow-up. The output of this service shows an increase in the ability of teachers in using English for learning and entrepreneurial skills for the purposes of institutional branding. The expected recommendations include follow-up by TKA ABA PCA to create an internal curriculum that combines English and entrepreneurship learning in real situations, the creation of a sustainable teacher learning community, and a commitment to establishing strategic partnerships with the business world and other educational institutions.
Pengembangan UMKM di Era Revolusi Industri 4.0 Faidati, Nur; Khozin, Muhammad
Prosiding University Research Colloquium Proceeding of The 11th University Research Colloquium 2020: Bidang Sosial Humaniora dan Ekonomi
Publisher : Konsorsium Lembaga Penelitian dan Pengabdian kepada Masyarakat Perguruan Tinggi Muhammadiyah 'Aisyiyah (PTMA) Koordinator Wilayah Jawa Tengah - DIY

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Abstract

Berbagai upaya dilakukan oleh sejumlah stakeholder agar UMKM dapat terus bertumbuh dan berkembang di era revolusi industri ini. Salah satunya dilakukan staf pengajar Universitas ‘Aisyiyah Yogyakarta melalui kegiatan Pengabdian masyarakat . Pelaku UMKM yang dibina oleh BWM UNISA ini masih terkendala dengan pemanfaatan teknologi, yaitu pemanfaatan platform online untuk pemasaran produk. Kegiatan pengabdian masyarakat Pemberdayaan pelaku UMKM binaan BWM UNISA Nogotirto, Gamping, Sleman DIY Menuju UMKM Yang Berdaya Saing ini dilakukan dengan tujuan memperkenalkan platform digital kepada anggota komunitas UMKM untuk memperluas pemasaran produknya.
THE EFFECTIVENESS OF THE IMPLEMENTATION OF BANTUL REGENCY REGIONAL REGULATION NO. 4/2019 ON THE CONTROL, SUPERVISION OF ALCOHOLIC BEVERAGES, AND PROHIBITION OF OPLOSAN DRINKS IN KAPANEWON PANDAK KURNIAWAN, FREDDY; MUHAMMAD KHOZIN
INDONESIAN GOVERNANCE JOURNAL : KAJIAN POLITIK-PEMERINTAHAN Vol 8 No 2 (2025)
Publisher : Universitas Pancasakti Tegal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24905/igj.v8i2.158

Abstract

This study aims to evaluate the effectiveness of the implementation of Bantul Regency Regional Regulation No. 4/2019 on the Control, Supervision of Alcoholic Beverages, and Prohibition of Oplosan Drinks in Kapanewon Pandak. The approach used is descriptive qualitative with data collection methods through in-depth interviews, observation, and documentation. The results showed that despite a 23% decrease in alcohol poisoning cases, supervision is still limited by human resources, budget, and the absence of a clear technical Standard Operating Procedure. Inter-agency coordination is in place, but not yet optimal. Public participation in monitoring is also low, which is a major obstacle to effective policy implementation. This research contributes to the development of alcohol supervision policy, by suggesting increased supervisory capacity, updated regulations, and more active community involvement. Limited resources and budget are the main obstacles that need to be addressed to achieve optimal policy implementation in the future
Peningkatan Keamanan Steganografi Citra Berbasis Least Significant Bit dengan Integrasi Algoritma Deep Learning Convolutional Neural Network (CNN) Khozin, Muhammad; Novitaningrum, Dian; Aprilia, Tresi; Samas, M. Achsin
Jurnal Surya Informatika Vol. 15 No. 1 (2025): Jurnal Surya Informatika, Vol 15. No. 1, Mei 2025
Publisher : Universitas Muhammadiyah Pekajangan Pekalongan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.48144/suryainformatika.v15i1.2080

Abstract

Steganografi citra merupakan teknik penyembunyian informasi rahasia di dalam gambar digital yang berperan penting dalam komunikasi rahasia. Metode Least Significant Bit (LSB) dikenal luas karena kesederhanaan dan kemudahan implementasinya, namun memiliki kelemahan signifikan dalam hal keamanan, khususnya rentan terhadap deteksi melalui analisis statistik. Penelitian ini bertujuan untuk meningkatkan keamanan steganografi LSB melalui integrasi dengan algoritma deep learning Convolutional Neural Network (CNN). Dataset CIFAR-10 digunakan sebagai media eksperimen dengan proses penyisipan data pada bit paling tidak signifikan dari kanal warna citra digital. Evaluasi dilakukan melalui metrik imperseptibilitas seperti Peak Signal-to-Noise Ratio (PSNR), Structural Similarity Index (SSIM), serta akurasi deteksi oleh model steganalisis. Hasil eksperimen menunjukkan bahwa integrasi LSB dengan CNN menghasilkan peningkatan nilai PSNR dan SSIM, serta menurunkan tingkat keberhasilan deteksi pesan tersembunyi oleh pihak ketiga. Pendekatan ini berhasil membuat proses penyisipan data lebih adaptif dan sulit dikenali secara visual maupun statistik, sehingga meningkatkan tingkat keamanan dan kerahasiaan dalam komunikasi digital berbasis steganografi.
Analisa Metode Boolean dalam Machine Learning untuk Pencarian Dokumen Batan Dataset dengan Algoritma K-Nn dan TF-IDF Tresi Aprilia; Hidayat, Taufik; Khozin, Muhammad; Tresi Aprilia, Tresi Aprilia
Jurnal Teknik Informatika dan Desain Komunikasi Visual Vol 3 No 2 (2024): Jurnal Teknik Informatika dan Desain Komunikasi Visual
Publisher : Fakultas Komputer Dan Desain

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

Abstract

Salah satu sarana untuk memenuhi kebutuhan pencarian informasi adalah dengan mesin pencarian dokumen. Mesin pencarian informasi dokumen adalah serangkaian program komputer yang dirancang untuk melakukan pencarian dokumen yang terdapat di dalam koleksi dokumen atau dataset. Penelitian ini memiliki tujuan untuk memperoleh kecocokan sumber informasi dalam pencarian yang bersifat eksplorasi yang efektif. Untuk mencari sumber keaktifan data atau konten dalam pencarian publikasi dataset Batan (Badan Tenaga Nuklir Nasional) untuk menemukan topik tertentu. Penelitian ini menggunakan pendekatan metode Boolean dan ekstraksi TF-IDF (Term Frequency-Inverse Document Frequency) dengan membandingkan hasil query. Metode Boolean menggunakan notasi AND dan NOT, namun belum bisa untuk memperingkat dokumen yang dihasilkan. Maka dari itu, menggunakan metode Extend Boolean merupakan gabungan keduanya. Terdapat dua proses yang dilakukan pada penelitian ini, yaitu proses penentuan indeks dan proses pencarian. Proses penentuan indeks mengekstraksi dokumen yang telah dilakukan proses preprocessing kemudian disimpan ke dalam database. Proses pencarian data dengan menggunakan TF-IDF menghasilkan daftar dokumen yang terurut. Hal ini dapat diketahui berdasarkan hasil pengujian dokumen yang relevan pada dokumen publikasi Batan dataset. Klasifikasi yang dibentuk dengan bantuan algoritma K-Nn dengan jenis kata kunci yang serupa untuk menumakn kata yang berdekatan satu sama lain dan mendapatkan hasil akurasi sebesar 84%.
PERANCANGAN UI/UX PADA APLIKASI MUSIC POPULER DENGAN METODE DESIGN THINKING BERBASIS ADOBE XD Fatekha, Putri; Khozin, Muhammad; Novitaningrum, Dian
Jurnal Teknik Informatika dan Desain Komunikasi Visual Vol 4 No 1 (2025): Jurnal Teknik Informatika dan Desain Komunikasi Visual
Publisher : Fakultas Komputer Dan Desain

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51792/rnnctd11

Abstract

Popular music apps are becoming increasingly popular among the masses, and the demand for meaningful personal digital entertainment is increasing. This study aims to develop a music app that provides the best user experience through smart visualization, personalized features, and online access. The methodology chosen for developing this app is “Think About It,” which consists of five stages: Empathy, Explanation, Ideation, Prototype, and Testing. Each stage is designed to understand user needs, create innovative solutions, and provide a user-friendly interface. The findings show that the developed music app meets user needs such as easy access to music, relevant recommendations, and comprehensive search capabilities. Testing with end users has resulted in high usage rates, although there are still some areas for improvement, such as reducing click-through error rates and simplifying navigation. This study concluded that the developed tool met many of the needs of the users. However, more iterations are still needed to improve the interface and improve usability. We hope that this study can serve as a reference for creating modern digital music tools that better meet the needs of modern users.
RANCANGAN TAMPILAN UI/UX APLIKASI MOBILE E-COMMERCE MENGGUNAKAN ADOBE XD M. Mansyuru Adin; Khozin, Muhammad
Jurnal Teknik Informatika dan Desain Komunikasi Visual Vol 4 No 2 (2025): Jurnal Teknik Informatika dan Desain Komunikasi Visual
Publisher : Fakultas Komputer Dan Desain

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51792/jtd.v4i2.05

Abstract

Sebuah sarana untuk melakukan jual beli barang sangat dibutuhkan orang secara luas. Dengan menggunakan teknologi informasi kita dapat mempermudah sarana jual beli tersebut. Aplikasi e-commerce merupakan salah satu dari contoh sarana yang menggunakan teknologi informasi tersebut. Secara tampilan dalam aplikasi ini fungsi UI/UX bisa membuat kemudahan pengguna secara umum. Dalam hal tersebut dapat ditampilkan rancangan aplikasi secara visual sebelum direalisasikan dengan utuh. 
Stock Price Prediction Using Backpropagation ANN: Case Study of ADMR (2023–2025) Khozin, Muhammad; Abidin, Zainal; Chamidy, Totok
Journal of Information System and Informatics Vol 7 No 4 (2025): December
Publisher : Asosiasi Doktor Sistem Informasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63158/journalisi.v7i4.1347

Abstract

This study develops an Artificial Neural Network (ANN) backpropagation model for predicting stock prices using ADMR stock data from 2023 to 2025, obtained from Yahoo Finance. Given the inherent volatility and unpredictability of stock prices, accurate forecasting plays a crucial role in investment decision-making. ANN models are particularly effective for capturing complex, non-linear relationships and patterns in financial data, which traditional statistical models may fail to address. In this research, various configurations were tested by adjusting the number of hidden neurons (5, 10, and 15) and learning rates (0.1, 0.3, and 0.5). The optimal model architecture was found to be 3-10-1, consisting of three input neurons, ten hidden neurons, and one output neuron, which achieved the best prediction performance with a Mean Absolute Percentage Error (MAPE) of 2.26%. This model was trained with a learning rate of 0.3 and completed in 915 iterations. However, the model's predictive capabilities are constrained by its reliance on historical stock prices alone, excluding external factors such as macroeconomic indicators, market sentiment, or trading volume, which may improve its generalization and overall accuracy. Future work could integrate these variables for better robustness and predictive power.
Co-Authors Adila, Fekie adilla, wiwitadilla_23 Afriza, Nugraha Andri Alief budiyono Anike Febriyani Nugraha Anjalina, Ghina Karima Aprilia, Tresi Bikrul Rohmah Dany, Muhammad Amhar Darais, Rena Anzahra Dewi, Susiana Dina, Tyas Ayu Farah Dyah Mutiarin, Dyah Faidati, Nur Fatekha, Putri Fathah, Rigel Nurul Fatihin, Khoirul Freddy Kurniawan Gerry Katon Mahendra, Gerry Katon Handayani, Yuni Hanifa, Isma Risqi Intan Regina Maghfirani Ittaqwa, Ittaqwa Jamaludin, Fitah Jauhar Ali Khakim, Muhammad Salisul Kukuh Pambudi Mukti Lathifah, Meyta M. Mansyuru Adin Magfiroh, Luluk Agustin Maryatul Mahardika, Danu Mawaddah, Nuril Mutmainah, Nur Fitri Novitaningrum, Dian Nur Faidat Nurfalasyifa, Mutia Nuril Mawaddah Nuril Mawaddah Nurrohmah, Annida Pamungkas, Panji Prasetya, Sulistiana Purnomo, Triatmo Joko Raden, Nurhujaima Hi Rofi, Muhammad Naufal Rofi Rohman, Ahmad Luthfi Hidayatur Rustini Saharuddin, Erni Sakir Sakir, Sakir Samas, M. Achsin Septianisa, Septianisa Supriyani Supriyani Taufik Hidayat Totok Chamidy Tresi Aprilia Tresi Aprilia, Tresi Aprilia Wilda, Zaidan Rizqia Zainal Abidin