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Analisis Kinerja Aparatur Desa Majakerta Dalam Meningkatkan Kepuasan Masyarakat Mustofa, Zaenal; Maryono, Dicky
Jurnal Online Manajemen ELPEI Vol 5 No 2 (2025)
Publisher : STIM-LPI Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58191/jomel.v5i2.396

Abstract

This study aims to analyze the performance of Majakerta Village officials in managing social assistance and its impact on community satisfaction. The method used was a qualitative approach through in-depth interviews with village officials, social assistance recipients, and community leaders. The results indicate that despite efforts in the distribution procedure, shortcomings remain, such as a lack of transparency and communication with the community. Community satisfaction is influenced by information transparency and speed of distribution. It is recommended that village officials increase outreach and implement a more transparent system in managing social assistance.
ADVANCED MALICIOUS SOFTWARE DETECTION USING DNN Sulartopo Sulartopo; Dani Sasmoko; Zaenal Mustofa; Arsito Ari Kuncoro
Journal of Technology Informatics and Engineering Vol. 1 No. 1 (2022): April: Journal of Technology Informatics and Engineering
Publisher : University of Science and Computer Technology

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/jtie.v1i1.144

Abstract

The special component of malicious software analysis is advanced malicious software analysis which implicates interested the main framework of malicious software that can be executed after executing it and aggressive malicious software investigation depend on inquisitive of the practice of malicious software after running it in a composed habitat. Advanced malicious software analysis is usually performed by contemporary anti-malicious software operating systems using signature-based analysis. The purpose of this research is to propose also decide a DNN for the progressive identification of portable files to study the features of portable executable malicious software to minimize the occurrence of distorted likeness when aware of advanced malicious software. The model proposed in this study is a NN with a Dropout model contrary to a resolution tree model to examine how well it performs in detecting real malicious PE files. Setup-skeptic methods are used to extract features from files. The dataset is used to train the proposed approach and measure outcomes by alternative common malicious software datasets. The results from this study illustrate that the use of simple DNNs to study PE vector elements is not only efficient but more fewer system comprehensive than the traditional interested disclosure approach. The model proposed in this study achieves an A-UC of ninety-nine point eight with ninety accurate specifics at one percent inaccurate specific on the R-OC curve. For shows that this model has the potential to complement or replace conventional anti-malicious software operating systems so for future research, it is proposed to implement this model practically.
Sistem Informasi Pemetaan Pondok Pesantren Berbasis Web Di Kecamatan Mranggen Menggunakan Koordinat: (Studi Kasus Pada Kementerian Agama Kabupaten Demak) Kuncoro, Arsito Ari; Febryantahanuji, Febryantahanuji; Mustofa, Zaenal; Siswanto, Eko; Somad, Mohamad Ali
Jurnal Manajemen Informatika & Teknologi Vol. 4 No. 2 (2024): Oktober : Jurnal Manajemen Informatika & Teknologi
Publisher : LPPM Sekolah Tinggi Ilmu Ekonomi - Studi Ekonomi Modern

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/91mzvc63

Abstract

Pondok pesantren merupakan lembaga tempat penyebaran agama sekaligus sebagai lembaga pendidikan tradisional islam yang relatif tua yang mampu bertahan dan berkembang hingga saat ini. Sebagai lembaga Islam, pondok pesantren berusaha meningkatkan kecerdasan rakyat dan moral bangsa serta mengamalkan ajaran Islam dengan menekankan moral agama sebagai pedoman hidup bermasyarakat.Kecamatan Mranggen memiliki banyak Pondok pesantren yang yang tersebar di beberapa Desa. Setiap Pondok pesantren memiliki ciri khasnya masing-masing, sedangkan pihak Kementerian Agama Kabupaten Demak, belum menerapkan sebuah sistem digital yang menyajikan informasi Pondok pesantren. Hal ini membuat masyarakat kesulitan untuk mendapatkan informasi yang diinginkan tersebut. Tujuan dari penelitian ini adalah untuk membangun Sistem Informasi Pemetaan Pondok Pesantren Berbasis Web Di Kecamatan Mranggen Menggunakan Koordinat yang dapat menampilkan pemetaan dan informasi mendetail terkait pondok pesantren di Kecamatan Mranggen Metode yang digunakan dalam penelitian ini dilakukan dengan cara pengumpulan data melalui wawancara secara langsung. Dalam pembuatan web Sistem Informasi Pemetaan Pondok Pesantren ini menggunakan beberapa software pendukung seperti Visual Studio Code sebagai text editor, MySql sebagai penyimpanan database, library LeafletJs untuk menampilkan peta digital,CodeIgniter4 sebagai Framework, dan PHP sebagai bahasa pemrograman. Hasil akhir dari analisis dan perancangan sistem informasi ini adalah menghasilkan sebuah sistem informasi pemetaan pondok pesantren berbasis web yang diharapkan dapat mempermudah masyarakat dalam mendapatkan informasi serta lokasi pondok pesantren yang ada di kecamatan mranggen
Pelatihan Peningkatan Kualitas Pembelajaran bagi SMP Muhammadiyah Kabupaten Sleman Herawati, Endang Sri Budi; Surya, Priadi; Mustofa, Zaenal
Bima Abdi: Jurnal Pengabdian Masyarakat Vol. 4 No. 3 (2024): Bima Abdi: Jurnal Pengabdian Masyarakat
Publisher : Yayasan Pendidikan Bima Berilmu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53299/bajpm.v4i3.924

Abstract

Peningkatan kualitas pembelajaran sangat penting untuk mengoptimalkan kompetensi guru dalam menerapkan metode pengajaran yang inovatif dan efektif, sehingga hasil belajar siswa meningkat. Selain itu penguasaan metode pengajaran interaktif   juga penting bagi guru dalam menghadapi tantangan pendidikan di era modern. Tujuan pelatihan ini adalah untuk meningkatkan kompetensi guru dalam merancang dan melaksanakan pembelajaran yang efektif, inovatif, dan sesuai dengan kebutuhan siswa. Peserta kegiatan adalah guru SMP Muhammadiyah 1 Seyegan dan SMP Muhammadiyah 1 Tempel sebanyak 30 orang. Pelatihan mencakup berbagai aspek seperti pengelolaan kelas, penerapan model pembelajaran berdiferensiasi, serta penggunaan media pembelajaran berbasis teknologi. Metode yang digunakan meliputi ceramah, diskusi kelompok, dan simulasi, yang bertujuan memberikan pengalaman langsung kepada peserta. Hasil pelatihan ini menunjukkan adanya peningkatan pemahaman guru terhadap strategi pembelajaran yang lebih interaktif dan berpusat pada siswa. Guru mampu mengelola kelas dengan baik, menerapkan diferensiasi dalam pembelajaran sesuai profil belajar siswa, serta memanfaatkan teknologi baik sebagai media dalam pembelajaran maupun evaluasi belajar siswa (menggunakan Google Forms, Kahoot, quizizz, wordwall). Dengan adanya pelatihan ini, diharapkan guru-guru mampu menerapkan praktik pembelajaran yang lebih berkualitas dan meningkatkan hasil belajar siswa secara keseluruhan.
Edukasi Digital Safety Dalam Meningkatkan Kecakapan Bermedia Digital Siswa Herawati, Endang Sri Budi; Mustofa, Zaenal; Sari, Maya Novita; Mirsa, Nur Rina Priyani; Widiyan, Agung Purwa; Astuti, Yuni
Lamahu: Jurnal Pengabdian Masyarakat Terintegrasi Vol 3, No 1: February 2024
Publisher : Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37905/ljpmt.v3i1.24090

Abstract

Digital security plays a crucial role in today's digital era. As the responsible and safe use of the internet becomes increasingly important, encouraging digital security is essential, especially among children and families. By understanding and implementing digital security measures, every individual can reduce the negative impact of digital threats, create a safer and more secure online environment, and protect themselves in the virtual world. Digital safety education aims to provide students with education regarding digital security and tips for keeping personal and parental data secure. The target audience for this program is students at Texmaco Elementary School in grades V and VI. Evaluation of the Digital safety Education program can be measured using questionnaires and tests. Students' thoughts and experiences can be obtained through interviews or group discussions. The results show that the activity received a positive response. Some of the students understood digital safety and how to keep their data secure and controlled. Through digital safety education, it is hoped that students will be able to obtain comprehensive information to prevent themselves from virtual world crimes in the form of personal data hacking.
Perancangan Sistem Penjualan untuk mempermudah Manajemen dan Laporan Penjualan Cat Menggunakan Website Febryantahanuji Febryantahanuji; Hadi Yusuf; Budi Hartono; Arsito Ari Kuncoro; Zaenal Mustofa
Kompak :Jurnal Ilmiah Komputerisasi Akuntansi Vol. 17 No. 1 (2024): Jurnal Ilmiah Komputer Akuntansi (KOMPAK)
Publisher : Universitas Sains dan Teknologi Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/kompak.v17i1.1852

Abstract

This research aims to identify the issues faced by one of the paint distributors in managing their sales information system. The study notes that despite the store's successful sales activities, the utilization of the sales information system remains limited, with the store preferring to manage products without online information handling applications. Based on observations, some weaknesses of the current system include lack of stock data accuracy, hindrances in providing real-time stock information, and limitations in tracking stock changes. The author suggests providing training to users of the web-based sales information system and establishing clear task allocation, as well as system improvements to address existing weaknesses. These suggestions are expected to enhance efficiency and effectiveness in sales management and meet the needs of both administrators and buyers.
PEMETAAN DIGITAL LOKASI SENTRA PERTANIAN DAN PERIKANAN UNTUK MENARIK MINAT INVESTOR PADA KABUPATEN DEMAK KOTA DENGAN PLATFORM ANDROID Rohman, M Aguts; Febryantahanuji, Febryantahanuji; Mustofa, Zaenal
Jurnal Nusantara Aplikasi Manajemen Bisnis Vol 3 No 1 (2018): Jurnal Nusantara Aplikasi Manajemen Bisnis
Publisher : UNIVERSITAS NUSANTARA PGRI KEDIRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1053.162 KB) | DOI: 10.29407/nusamba.v3i1.12028

Abstract

Demak regency is one of goverment institute which act to make and accompany all section of agriculture and fishery in Demak and arround. Now, facilities and infrastructures in delivery information of agriculture and fishery's product which available are still simple and konventional. The aim of this research is to give solution which be related to information system and promotion, among others yields information, location of agriculture and fishery centers which can be delivered to investor who want to join investment even purchases agricultural and fishery products with maximum and fast. This research method using model approach Research and Development (R&D) in 6 stages, that are research and information collecting, planning, develop premilinary form of product, preliminary field testing, main product revision, and main field testing. The result of this study show that the using of android based mapping information systems has met the needs of farmers and investors in conveying information. Among others informations of investment even for purchasing agricultural and fishery products easily by smartphone based android in order to information can be delivered to potential buyers / investors.
Perancangan Photobook Penjahit Taruna Menggunakan Teknik Photostory Zaenal Mustofa; Jozua F Palandi; Ahmad Zakiy Ramadhan
MAVIS : Jurnal Desain Komunikasi Visual Vol 3 No 02 (2021): Mavis : Jurnal Desain Komunikasi Visual
Publisher : LPPM STIKI Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/mavis.v3i02.582

Abstract

The design of the cadets tailor photobook was made based on Muhammad Hasan's experience in his struggle to participate in the army selection but the results did not match what he had dreamed of since he was a child, but he did not give up there and decided to become an army dress tailor because he felt he was working as an army tailor is still closely related to what he aspires to. Based on this explanation, a cadet tailor photobook was designed with the aim of inspiring prospective army registrants who would take part in the army selection and also as encouragement in undergoing the test stages in the army registration selection. The methodology used in this design uses Drs. Sadjiman Ebdi Sanyoto which has been tailored to the needs of designing a cadet tailor photobook. The results of this design are photobooks as the main media and supporting media in the form of posters, xbanners, pins and also tote bags.
Optimasi Algoritma Support Vector Machine untuk Analisis Sentimen dengan Bayesian Optimization Yudianto, Muhammad Resa Arif; Zakariah, Masduki; Rozam, Nadhir Fachrul; Rahman, Dzul Fadli; Sari, Tika Novita; Mustofa, Zaenal
Jurnal Teknik Informatika dan Sistem Informasi Vol 11 No 3 (2025): JuTISI
Publisher : Maranatha University Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28932/jutisi.v11i3.11524

Abstract

This study examines the effect of Bayesian Optimization in improving the performance, computational efficiency, and sustainability of Aspect-Based Sentiment Analysis models using Support Vector Machine (SVM). A dataset consisting of 988 customer reviews about Borobudur Temple, classified into six dimensions: Attractiveness, Facilities, Accessibility, Visual Image, Price, and Human Resources is used to compare two scenarios, namely Baseline SVM and SVM enhanced with Bayesian Optimization (BO). Important metrics used include accuracy, computational duration, energy usage, and carbon emissions. The results show that BO significantly improves accuracy, especially on difficult aspects such as Facilities (from 0.7294 to 0.8682) and Price (from 0.8047 to 0.9576). The most complicated aspect, namely visual image due to the very minimal number of datasets (unbalanced), achieved an increase in accuracy from 0.6729 to 0.72. In addition, BO reduces training time, especially for resource-intensive tasks such as the visual image aspect, reducing training time from 13.04 seconds to 9.4 seconds. Substantial reductions in energy consumption and CO₂ emissions are seen in line with sustainable machine learning principles. The hyperparameter adaptability of SVM, with linear kernels performing well in simpler tasks, while polynomial and sigmoid kernels improve performance for more complex parts. BO substantially alleviates the limitations of Baseline SVM, offering a robust, efficient, and environmentally friendly solution for ABSA. Future research can explore more enhancements for complex tasks to improve performance and efficiency.
Deep Learning Rnn-Lstm Model For Forecasting Tourist Visits In Yogyakarta Using Bps Time-Series Data Munir, Agus Qomaruddin; Wardani, Ratna; Setiyawan, Ramadhana; Mustofa, Zaenal; Nurkhamid, Nurkhamid
Jurnal Teknik Informatika (Jutif) Vol. 6 No. 6 (2025): JUTIF Volume 6, Number 6, Desember 2025
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2025.6.6.5467

Abstract

Tourism is a crucial sector in Indonesia's economic growth, particularly in Yogyakarta, contributing significantly to revenue, job creation, and infrastructure development. However, the COVID-19 pandemic has significantly impacted the tourism industry, making tourist arrival forecasting crucial for effective government policy decision-making. This study aims to predict tourist arrivals in Yogyakarta using deep learning models, specifically the Recurrent Neural Network (RNN) and Long Short-Term Memory (LSTM) algorithms, chosen for their ability to process time series data and address non-linearity issues. Tourist arrival data from the Yogyakarta Central Statistics Agency (BPS) was used to train and test the model. Model evaluation was conducted using the Root Mean Squared Error (RMSE) metric to measure prediction accuracy. The results show that this model can accurately predict tourist arrival patterns, which can support strategic decision-making regarding the procurement of tourism facilities in Yogyakarta. The impact of this research is to provide practical benefits for local governments and tourism industry players in planning tourism promotion and management strategies. With more accurate predictions, relevant parties can prepare necessary resources and optimize tourism services according to projected visitor numbers.
Co-Authors Achmad Faisal Abda’ Agus Qomaruddin Munir AGUS SUSILO ROMADHON Ahmad Ashifuddin Aqham Ahmad Asifuddin Ahmad Zakiy Ramadhan Al-Khawarizmi, Andi Hakim Annur Trihardiyanti Ardini, Fadhila Malasari Arie Atwa Magriyanti Arsito Ari Kuncoro Arsito Ari Kuncoro Bachtiar Aziz Mulki budi hartono Budi Hartono Buntara Adi Purwanto Danang , Danang Danang Danang Danang, Danang Dani Sasmoko Dani Sasmoko Doni Marhab Eka Satria Wibawa Eko Siswanto Eko Siswanto Endang Sri Budi Herawati Fahrozi Ar-Ra’afi Febryantahanuji Febryantahanuji Firmansah, Firmansah Gita Amalia Hadi Yusuf Hadi Yusuf Haris Ihsanil Huda Ikka Rusmawardani Afsah Iman Saufik Suasana Ismarini Bekti Setiani Jozua Ferjanus Palandi Kun Mabruroh Lina Rahmawati Lukman Hakim Lupita Orisativa Aprilia Marhab, Doni Maryono, Dicky Maya Utami Dewi Miftahul Fuadi Mokhamad Iklil Mustofa Muhammad Nafis Muhammad Resa Arif Yudianto Muhammad Sholikhan Mumpuni, Sesya Dias Nadhir Fachrul Rozam Nova Nur Ramadhani Nur Rina Priyani Mirsa Nurkhamid, Nurkhamid Nurulloh, Ahmat Paulus Hartanto pranawa, burham Priadi Surya Putri Avinda Rahman, Dzul Fadli Ratna Wardani Rina Arum Prastyanti Rinawan, Rangga Bayu Rini Rhubiyanti Riziq Anta Yahya Rizky Aji Prasetyo Rohman, M Aguts Rosita Dwi Widya Ningrum Sari, Maya Novita Sela Asyifa Dalila Setiyawan, Ramadhana singgih Prabowo Siswanto, Edy Siti Kholifah Siti Kholifah Somad, Mohamad Ali Sulartopo Sulartopo Sulartopo Sulartopo Sumaryanto Sumaryanto Sumaryanto, Sumaryanto Susilowati, Novi Tika Novita Sari Toni Wijanarko Adi Putra Triyanto Agung Praptono Wibowo Wahyu Efendy Yusuf Wahyu EY Widiatmoko, Mualwi Widiyan, Agung Purwa Wiwid Wahyudi Wulan Tri Puji Utami Yuni Astuti Yussi Anggraini Zakariah, Masduki Zulkifli, Aiman Hakim bin