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Journal : Jendela ASWAJA

IMPLEMENTASI METODE FORWARD CHAINING UNTUK RANCANG BANGUN APLIKASI DAILY HAID BERBASIS MOBILE ANDROID Cirebon, Rosidin; Sukarsa, Sukarsa; Mauliya, Nila Kholisotul; Sulaeman, Dicky Andika; Kohar, Abdul
Jurnal Jembatan Efektivitas Ilmu dan Akhlak Ahlussunah Wal Jama'ah Vol 5 No 2 (2024): September
Publisher : LPPM UNU CIREBON

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52188/jeas.v5i2.846

Abstract

Lack of knowledge and understanding of Muslim women on how to distinguish between female blood, such as menstruation and istihadhah causes difficulties in identifying the time of istihadhah, which can affect daily worship. This study aims to help Muslim women, especially female vocational school students, to more easily understand and distinguish between female blood types. Thus, they do not make mistakes in performing worship. This study was conducted on 35 female students of SMK NU Al Basyariyah Kedokan Bunder, who although they understand the legal basis of female blood, many of them still have difficulty distinguishing between menstruation and istihadhah. To provide guidance in accordance with Islamic law, an Android-based application called Daily Haid was created, using the forward chaining expert system method. To measure how effective and useful this application is, testing was carried out with the System Usability Scale (SUS) involving 30 respondents. The test results showed that the application scored 75, which placed it in the "Acceptable" category, with a grade of "B" and an adjective rating of "Good." This shows that the application is well received by users, is considered satisfactory in terms of usability and convenience, and helps improve users' understanding of the jurisprudence of female blood and proper worship. Keyword : Feminine Blood, Expert System, Android Apps , Forward chaining
Pengaruh Perkembangan Kecerdasan Buatan Terhadap Transformasi Perguruan Tinggi Swasta : Studi Kasus Di Universitas Nahdlatul Ulama Cirebon Kohar, Abdul
Jurnal Jembatan Efektivitas Ilmu dan Akhlak Ahlussunah Wal Jama'ah Vol 4 No 02 (2023): September
Publisher : LPPM UNU CIREBON

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52188/jeas.v4i02.1308

Abstract

Research objectives. The development of artificial intelligence (AI) technology has become a major driver of transformation in various sectors, including higher education. This study aims to analyze the impact of AI implementation on institutional transformation at Nahdlatul Ulama University Cirebon as one of the private universities in Indonesia.Materials and methods. Using a qualitative descriptive approach, data were collected through in-depth interviews, participant observation, and documentation studies of academic systems and technology-based campus services.Results. The results of the study indicate that AI plays an important role in improving the efficiency of academic administration services, personalizing learning, and supporting data-based decision-making. However, there are still various challenges such as limited HR competency, uneven technological infrastructure, and the unavailability of ethical guidelines for the use of AI.Conclusion. This study confirms that AI-based transformation requires a strategic and inclusive approach in order to optimize the potential of AI sustainably in the private university environment.
PERAN TEKNOLOGI INFORMASI DALAM MENINGKATKAN EFISIENSI PROSES BISNIS DI ERA ARTIFICIAL INTELLIGENCE Kohar, Abdul
Jurnal Jembatan Efektivitas Ilmu dan Akhlak Ahlussunah Wal Jama'ah Vol 5 No 1 (2024): Maret
Publisher : LPPM UNU CIREBON

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52188/jeas.v5i2.1309

Abstract

The advancement of Information Technology (IT) and its integration with Artificial Intelligence (AI) has brought about a major transformation in the modern business world. This study aims to comprehensively examine the role of IT and AI in improving business process efficiency, using a literature study approach and global case analysis. The results of the study show that the implementation of AI-based IT systems can automate routine processes, accelerate decision-making, and improve service accuracy. Case studies from companies such as Amazon, Siemens, and JP Morgan Chase show significant operational time savings, cost reductions, and increased customer satisfaction. The discussion also covers implementation challenges such as infrastructure readiness, data quality, and HR competency. This study recommends a gradual strategy in technology adoption, strengthening digital literacy, and an ethical approach in utilizing AI to ensure sustainable efficiency. These findings can be a strategic reference for organizations that want to accelerate digital transformation and increase competitiveness in the industrial era 4.0.
Co-Authors Aan Nasrullah, Aan Abas, Farhat Abdul Rosyid Aep Saefullah Agung Fajar Ilmiyono Ahmad Fadli Andi Rosa Arda, Devid Putra Ardiansyah, Rizqi Aryan Agus Pratama Asnaini Asnaini, Asnaini Budi Prajogo Cirebon, Rosidin Daniela, Annisaa Fitriyana Daud, Muallim Dena Vera Silvana Dicky Andika Sulaeman Effriyanti, Effriyanti Ellyn Octavianty Elvira Sitna Hajar Fachry Abda El Rahman Fahri Fahri Farhan, Alip Fatkhur Rohman Gagah Dwiki Putra Aryono Gunawan, Rolly Habibi, Muhammad Irfan Haratua, Chandra Sagul Hendra Candra Heriansyah Icih, Icih Irwan Irwan Jayaun, Jayaun Joned C. Saksana Joyo, Harisman Kholidi, Ahmad Khaerul Kohar, Dadun Abdul Kurniawan, Nurazyu L, Riani Siti Diah Lesmana, Asep Surya Lestari, Baiq Anggun Hilendri Maftuh, Dadin Arif Mauliya, Nila Kholisotul Mu'ti, Abdul Muharifah, Isnaini Nasution, Yan Noviar Noor, Muhammad Arief Nurdin Nurdin Nurhanurawati Nurhanurawati Nurhayati Nurhayati Nursidi, Nursidi Oktavia, Nila Oktavianna, Rakhmawati Paokuma, Hasbibi Paramartha, Danta Pargito Pargito Purnama, Andika Putera, Alifi Restu Putro, Hanson Prihantoro Rahim, Anwar Rahman Nurhakim Rahmat Saleh Ramadani Pardian Roma Hutapea Rombouw, Sahrul Ropip, Ropip Rosidin Rosidin Ruvi, Muhammad Sadewa, Hidayat Amiaji Saefullah Saefullah, Saefullah Salima, Rianti Setiyorini, Wahyu Silvia Hendrayanti Siregar, Fuad Siswanto, Arik Siti Umaya Sitna Hajar, Elvira Slamet, Budiman sri murtini . Subhan Subhan Sugian, Ugi Sugiyarti, Listya Sukarsa Sukarsa Syarifudin Syarifudin Tafsiruddin, M. Taha, Roshaiza Taufikurrahman, Arief Tjiwijdjaja, Halim Tohiroh, Tohiroh Wahyudi, Jarot Wahyuri, Uyun WICAKSONO, ADI Wijaya, Faisal Zainuddin, Zulkifli Zubair Arza Zulkarnain, Nizar