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All Journal PROSIDING SEMINAR NASIONAL Jurnal Ilmiah Mahasiswa FEB Jurnal sistem informasi, Teknologi informasi dan komputer Al-Jami'ah: Journal of Islamic Studies Nurani: Jurnal Kajian Syariah dan Masyarakat Edu Geography Format : Jurnal Imiah Teknik Informatika Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Khasanah Ilmu - Jurnal Pariwisata Dan Budaya IJISTECH (International Journal Of Information System & Technology) Jambura Journal of Educational Chemistry International Journal of Visual and Performing Arts Jurnal Ilmu Teknik dan Komputer Journal Cerita: Creative Education of Research in Information Technology and Artificial Informatics Jurnal Abdidas Budapest International Research and Critics Institute-Journal (BIRCI-Journal): Humanities and Social Sciences IJISTECH Masyarakat Indonesia Jurnal Pengabdian Kepada Masyarakat Patikala Jurnal Arsitektur, Sains Bangunan, Kota dan Pemukiman Tuturan: Jurnal Ilmu Komunikasi, Sosial dan Humaniora Jurnal Pengabdian Masyarakat Sultan Indonesia Journal Collabits
Mohamad Yusuf
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Religion Arts Humanities Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Public Health Social Sciences Other

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Implementation Of Simple Linear Regression Algorithm In The Alumni Tracer Application Based on A Website at SMK Negeri 1 Sanaman Mantikei Languju, Indri Kristin; Yusuf, Mohamad
IJISTECH (International Journal of Information System and Technology) Vol 7, No 2 (2023): The August edition
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/ijistech.v7i2.308

Abstract

SMK Negeri 1 Sanaman Mantikei is one of the state vocational schools which has been standing for a long time and is well-known in Central Kalimantan. Therefore, it has many students from various regions, both within Kalimantan Island and outside the island. Of course, an impact on the increased number of graduates annually. Who are in different positions and roles. The existence of this Alumni Tracer application based on a website can be a solution for the school's need to collect data on its Alumni. This Tracer Alumni application is planned by Apex App Builder of a website application, employing the Rapid Application Development (RAD) method and utilizing Linear Regression Algorithm. The results of this research can predict the number of Alumni who have a job, providing estimations based on data within a specific time frame. The accuracy testing, conducted through manual Excel calculations, resulted in 336, while the accuracy testing with RapidMiner yielded a similar value of 336. This indicates that both manual and machine learning can be considered consistent.
Implementation Of Simple Linear Regression Algorithm In The Alumni Tracer Application Based on A Website at SMK Negeri 1 Sanaman Mantikei Languju, Indri Kristin; Yusuf, Mohamad
IJISTECH (International Journal of Information System and Technology) Vol 7, No 2 (2023): The August edition
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/ijistech.v7i2.308

Abstract

SMK Negeri 1 Sanaman Mantikei is one of the state vocational schools which has been standing for a long time and is well-known in Central Kalimantan. Therefore, it has many students from various regions, both within Kalimantan Island and outside the island. Of course, an impact on the increased number of graduates annually. Who are in different positions and roles. The existence of this Alumni Tracer application based on a website can be a solution for the school's need to collect data on its Alumni. This Tracer Alumni application is planned by Apex App Builder of a website application, employing the Rapid Application Development (RAD) method and utilizing Linear Regression Algorithm. The results of this research can predict the number of Alumni who have a job, providing estimations based on data within a specific time frame. The accuracy testing, conducted through manual Excel calculations, resulted in 336, while the accuracy testing with RapidMiner yielded a similar value of 336. This indicates that both manual and machine learning can be considered consistent.
Reception of Law Worship:The Experiences of Muslims Worship During Pandemic Covid-19 Fernando, Henky; Abdullah, Irwan; Yusuf, Mohamad
Nurani Vol 22 No 2 (2022): Nurani: jurnal kajian syari'ah dan masyarakat
Publisher : Universitas Islam Negeri Raden Fatah Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19109/nurani.v21i2.14402

Abstract

The reception of law worship during the pandemic Covid-19 is a pattern that is very important to reflect on as a lesson learned after the Covid-19 pandemic. This study, in addition to providing a conceptual understanding of Muslim religious law receptions pattern during the pandemic Covid-19, also to reflects this reception contextually. This study uses a qualitative descriptive approach. Data collection was carried out through an interview process with Muslims who actively carried out worship activities in the congregation during the pandemic Covid-19 at the Kotagede Mataram Gede Mosque. The analysis in this study was carried out through the process of reducing, describing, and inductively interpreting the data, to obtain a classification and conclusion regarding Muslim religious law reception pattern. This study found that the Muslim worship law reception pattern during the pandemic Covid-19 was not least carried out through three contexts, namely; reception in the context of adaptation, reception in the context of negotiation, and reception in the context of resistance. This study also recommends the importance of comparing Muslim worship law reception patterns in a more macro context.
Folklor dan Peningkatan Pengalaman Wisata di Gunung Tangkuban Parahu Rinaldi, Aditya Rizki; Yusuf, Mohamad
Khasanah Ilmu - Jurnal Pariwisata Dan Budaya Vol 15, No 1 (2024): Jurnal Khasanah Ilmu - Maret 2024
Publisher : Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/khi.v15i1.16228

Abstract

Hubungan timbal balik antara cerita rakyat Sangkuriang dengan Gunung Tangkuban Parahu tidak dapat dipisahkan. Kaitannya dengan pengembangan pariwisata di gunung tersebut adalah popularitas dari cerita rakyat Sangkuriang mampu meningkatkan daya tarik pengunjung ke Taman Wisata Alam (TWA) Tangkuban Parahu. Beberapa wisatawan cenderung memiliki ketertarikan untuk mengetahui cerita yang melatarbelakangi tempat yang mereka kunjungi. Sehingga Sangkuriang sebagai folklor di Gunung Tangkuban Parahu dapat dijadikan modal dalam menghadapi tantangan yang dihadapi objek daya tarik wisata dalam menciptakan pengalaman wisata yang berkesan. Oleh karena itu, penelitian ini berusaha mengeksplorasi penerapan folklor yang dilakukan di TWA Tangkuban Parahu dan korelasinya dengan pengalaman wisata yang berkesan. Untuk menjawab pertanyaan penelitian ini, penelitian ini menggunakan metode penelitian campuran. Data kualitatif dikumpulkan melalui wawancara bersama beberapa informan. Pengamatan, studi pustaka dan pengkajian dokumentasi dilakukan untuk mengkonfirmasi keabsahan data. Sementara, data kuantitatif dikumpulkan melalui pendistribusian kuesioner terhadap responden yang telah dipilih dengan menggunakan teknik purposive sampling. Hasil penelitian menunjukkan bahwa pengelola TWA Tangkuban Parahu telah menerapkan folklor ‘Sangkuriang’ di beberapa tempat baik dalam bentuk simbol atau narasi. Penelitian ini juga menunjukkan bahwa penerapan folklor berpengaruh positif dalam upaya meningkatkan pengalaman wisata berkesan, serta korelasi antara keduanya merupakan hubungan yang kuat yakni sebesar 75,9%.
Visualisasi Prediksi Prevalensi Balita Menggunakan Algoritma Random Forest Pada Lembaga Bidang Pangan Mubarak, Roy; Maesaroh, Siti; Yusuf, Mohamad; Budiana, Kelik; Fahreza, Muhammad Rizky
Journal Cerita: Creative Education of Research in Information Technology and Artificial Informatics Vol 10 No 2 (2024): Journal CERITA : Creative Education of Research in Information Technology and Ar
Publisher : UNIVERSITAS RAHARJA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/cerita.v10i2.3176

Abstract

This study aims to apply the Random Forest algorithm to predict the prevalence of malnutrition in toddlers in DKI Jakarta. This algorithm was chosen because it has been proven to provide high prediction accuracy, with an average above 80% in previous research. The research method includes stages of problem formulation, research objectives, research design, sample selection, data collection, data processing, interpretation of results, report preparation, and result presentation. The data used is sourced from the National Food Agency (BPN) totaling 3000 datasets, which are then processed through stages of selection, preprocessing, transformation, data mining using the Random Forest algorithm, and evaluation using RMSE and MAE formulas. It is expected that the results of this study will provide valuable insights into efforts to address malnutrition issues in toddlers in the DKI Jakarta area. Keywords: Prediction ,Random Forest, Prevalence of Toddlers,Nutrition
The continuum relationship of aesthetic and social space in the dhikr performativity of the Sambas Malay in West Kalimantan Ansari, Isa; Abdullah, Irwan; Yusuf, Mohamad
International Journal of Visual and Performing Arts Vol 6, No 2 (2024)
Publisher : ASSOCIATION FOR SCIENTIFIC COMPUTING ELECTRICAL AND ENGINEERING (ASCEE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31763/viperarts.v6i2.1664

Abstract

Studies on performative issues in ritual practices often detach social practices from performative studies, emphasizing aesthetic elements instead. This separation creates a divide between aesthetic and social practices. This study seeks to describe dhikr practices that reinforce performative aspects by examining the continuum between aesthetic and social spaces. It highlights the importance of the reciprocal relationship between these two domains, which ultimately redefines the spaces where aesthetic and social practices are performed. The research employs a methodology centered on observations and interviews with informants, categorized by their use of traditional or contemporary songs in performing dhikr. Data analysis was conducted both on-site and off-site. On-site analysis involved recording local terms and describing them within their cultural context. Additionally, transcription was undertaken to convert sounds, movements, and voices into written form. Off-site analysis included verifying data completeness, classifying data based on research needs, reducing irrelevant data, coding the remaining data, and organizing it into themes before presenting it systematically. The findings reveal three key processes within the continuum. First, the configuration of traditional and contemporary songs illustrates a linear progression that reflects the formation of Sambas Malay culture. Second, the configuration of songs and cultural construction is mediated through both cultural and structural platforms. Third, this continuum extends to the internal experiences of dhikr practitioners, serving as a reflective process of their practices. The study’s results have significant implications for understanding dhikr practices, demonstrating that they are not solely religious in nature. It also opens new avenues for research, particularly exploring the political dimensions of dhikr practices and their relationship to power dynamics within the Sambas Malay community.
Implementasi Algoritma Quick Sort Pada Aplikasi Pemrograman Berorientasi Objek Berbasis Python Dan Mysql Workbench Yusuf, Mohamad; Naimah, Faaza
FORMAT Vol 14, No 1 (2025)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/format.2025.v14.i1.009

Abstract

This study aims to develop another long-term receivables management system based on Python, using Tkinter for the GUI, and MySQL Workbench as the database administrator. The system development method employs an incremental approach with two main stages: CRUD for basic data management operations and general information presented through data visualization.  This study focuses on implementing the performance of the Quick Sort algorithm within an Object-Oriented Programming (OOP) application. The results of system testing with the white-box testing method, using Python Unittest, demonstrate the consistency of functions and logic as expected. The system was tested on 108 cases of other long-term receivables information, successfully providing ease of use, data accuracy, speed of access, and improved information visualization.
Penerapan Tools Artificial Intelligence dalam peningkatan skill Guru Science di SD Islam Terpadu Al Hikmah, Pamulang, Tangerang Selatan Rushendra, Rushendra; Yusuf, Mohamad
Jurnal Pengabdian Masyarakat Sultan Indonesia Vol. 1 No. 2 (2024): Abdisultan
Publisher : Sultan Publsiher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58291/abdisultan.v1i2.339

Abstract

Pada tahun 2023, penerapan Kurikulum Merdeka di Sekolah Dasar semakin gencar dilaksanakan, dengan fokus pada metode pembelajaran intrakurikuler yang beragam dan memberikan kesempatan bagi siswa untuk lebih mendalami konsep serta meningkatkan kompetensi mereka. Para guru diberikan kebebasan untuk memilih alat ajar yang relevan dengan kebutuhan dan minat siswa, sambil menekankan pada pengembangan soft skills, karakter, materi inti, dan pembelajaran yang fleksibel. Meskipun begitu, implementasi kurikulum ini menghadapi beberapa tantangan, seperti kebutuhan peningkatan materi pembelajaran yang selaras dengan prinsip Kurikulum Merdeka, beragamnya latar belakang pendidikan guru—terutama dominasi pendidikan umum yang memiliki pemahaman teknologi informasi yang terbatas—serta kurangnya keterampilan guru dalam mengintegrasikan teknologi, terutama dalam pengajaran sains. Kegiatan ini bertujuan untuk memperluas wawasan dan pengetahuan guru sains dalam menciptakan bahan ajar yang inovatif dan menarik. Selain itu, kegiatan ini juga bertujuan untuk meningkatkan keterampilan guru dalam memanfaatkan alat berbasis kecerdasan buatan (AI) serta menerapkan ilmu pengetahuan dan teknologi (IPTEK) dalam praktik, untuk mencari solusi terhadap masalah yang dihadapi dalam dunia pendidikan.
WORKSHOP PENGENALAN TOOL DEEP LEARNING UNTUK KLASIFIKASI GAMBAR UNTUK MENENTUKAN STATUS SOSIAL DAN REKOMENDASI BANTUAN SOSIAL Yusuf, Mohamad; Hakim, Lukman; Rushendra; Awang, Nungky
Jurnal Pengabdian Kepada Masyarakat Patikala Vol. 4 No. 4 (2025): ABDIMAS PATIKALA
Publisher : Education and Talent Development Center of Indonesia (ETDC Indonesia)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51574/patikala.v4i4.3355

Abstract

This Community Service Activity was carried out as an effort to improve operational efficiency in travel service business actors, especially PT Swabina Gatra Travel, through optimizing the use of the Bookswantastic and Jurnal ID digital systems. Although both systems have been implemented to support the ticket booking process and financial transaction recording, the lack of integration of these systems still causes obstacles such as data duplication, price input errors, and increased employee workload. Through this activity, the community service team provides education-based solutions and assistance in the form of training on the use of more effective digital systems, preparation of internal Standard Operating Procedures (SOPs), and socialization of the potential for system integration through API technology. It is hoped that this activity can improve the understanding and skills of business actors in managing digital-based business processes efficiently, while strengthening the readiness for digital transformation in the travel service sector.
Penerapan Analisa Resiko Keamanan Informasi Pada Layanan Aplikasi PKK Kecamatan Kembangan: Wujudkan Jakarta Tangguh dan Berdaya Saing Yusuf, Mohamad; Awang, Nungky; Sabily, Inna
Jurnal Pengabdian Kepada Masyarakat Patikala Vol. 5 No. 1 (2025): ABDIMAS PATIKALA
Publisher : Education and Talent Development Center of Indonesia (ETDC Indonesia)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51574/patikala.v5i1.3409

Abstract

In the era of digital transformation, public services such as PPK (District Election Committee) Kembangan in Jakarta are not exempt from information security challenges. This digital transformation involves integrating advanced technology into daily operations and providing services to the public through digital platforms. As the use of digital systems increases, so does the risk of cyberattacks. PPK Kembangan may face attacks such as phishing, ransomware, denial-of-service attacks, or misuse of citizens' personal data, which could disrupt election processes or other district activities. To enhance prevention against threats and vulnerabilities in information security within PPK Kembangan’s application services, a community service program was conducted through training for PPK Kembangan members. The results of this program showed that the training was successful, with participants demonstrating high enthusiasm. Participants actively asked questions regarding cases of information security attacks on both web-based and mobile applications. This program is expected to increase awareness of preventing cyber threats and vulnerabilities in PPK Kembangan’s service applications, thereby minimizing the occurrence of such attacks.
Co-Authors Abdul Karim Aditiya, Eka Aditya Rizki Rinaldi Afiyati, Afiyati Agustianingsih, Putri Al Fatah, M Reza Anggriawan, Guruh Pandhu Ansari, Isa Awang, Nungky Budiana, Kelik Carl Sterkens Carl Sterkens Citron S Payu Daffa, Raihan Nur Diah Aryani, Diah Esa Esa Fadiyah, Fitri Nur Fahreza, Muhammad Rizky Fami, Asrul Fernando, Henky Hadi Santoso Indra Lesmana, Bagas Irwan Irwan Kusmawan, Dicky Languju, Indri Kristin Lukman Hakim Lutfansa, Nabila Aulia Moh. Muhrim Tamrin Naimah, Faaza Nia Agustina Prabowo, Djoko Pratama, Vemas Adi Prayuda, Sendy Qurotaani, Nazwa Nurul Ramlani Lina Sinaulan Rayhan Maulana, Jericho Ritonga, Andre Meyro Rushendra, Rushendra Sabily, Inna Safira, Dessi Adelia Salsabila, Yovi Naila Setiyaji, Andri Siti Maesaroh ST. HAISAH Sulistio, Nicholas Suranti, Meliana Syadam, Muhammad Syamsir Alam Tofik Yanuar Chandra Wijaya, Ody Octora Z, M Fauzan