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All Journal Maspari Journal International Journal of Humanity Studies (IJHS) JOIV : International Journal on Informatics Visualization Pendas : Jurnah Ilmiah Pendidikan Dasar J-MAS (Jurnal Manajemen dan Sains) MAGNA MEDICA: Berkala Ilmiah Kedokteran dan Kesehatan YUME : Journal of Management IJoASER (International Journal on Advanced Science, Education, and Religion) Psychology, Evaluation, and Technology in Educational Research Jurnal Perspektif Amnesty: Jurnal Riset Perpajakan Ilomata International Journal of Management JATI (Jurnal Mahasiswa Teknik Informatika) GAUSS: Jurnal Pendidikan Matematika JURNAL ILMIAH MAKSITEK Community Development Journal: Jurnal Pengabdian Masyarakat Jurnal Digital Teknologi Informasi Ilomata International Journal of Management Window of Community Dedication Journal Inspirasi Ekonomi : Jurnal Ekonomi Manajemen Tebuireng: Journal of Islamic Studies and Society Jurnal Al-Qiyam Jurnal Tana Mana Jurnal Ilmiah MEA (Manajemen, Ekonomi, dan Akuntansi) LANTERA: JURNAL KOMUNIKASI DAN PENYIARAN ISLAM Economos : Jurnal Ekonomi dan Bisnis Jurnal Terapis Gigi dan Mulut Prosiding Temu Ilmiah Nasional Guru Serat Acitya Dedikasi : Jurnal Pengabdian Lentera Jurnal Tadris Matematika (JTMT) Commodities, Journal of Economic and Business AN-NIDA: Jurnal Pendidikan Islam Lantera: Jurnal Komunikasi dan Penyiaran Islam Mandalika Journal of Community Services Indonesian Journal of Humanities and Social Sciences Jurnal Gladiator
Ahmad Firdaus, Ahmad
Program Studi Ilmu Kelautan FMIPA, Universitas Sriwijaya
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Biochemistry, Genetics & Molecular Biology Computer Science & IT Decision Sciences, Operations Research & Management Dentistry Economics, Econometrics & Finance Education Engineering Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Medicine & Pharmacology Public Health Social Sciences Other

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Post-COVID Syndrome in Bipolar Affective Disorder Patient Firdaus, Ahmad; Dwiputri, Adelita Vega; Irkadiratna, Aderisti; Nugraha, Adi Satria; Narulitia, Adinda; Prasetya, Era Catur; Secka, Absa; Muslih, Muhammad
MAGNA MEDICA Berkala Ilmiah Kedokteran dan Kesehatan Vol 10, No 2 (2023): August
Publisher : Universitas Muhammadiyah Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26714/magnamed.10.2.2023.221-228

Abstract

Background: Post-COVID is a multifactorial disease that describes the residual effects of acute COVID-19 infection that are continuous or relapsing and in remission. The study found that 87% of people who recovered and were discharged from the hospital showed persistence of at least one symptom even within 60 days. COVID-19 patients who have bipolar disorder require therapeutic adjustments to avoid specific drug interactions between psychotropic drugs and those used in COVID-19 protocols. Objective: To determine the treatment of post-COVID patients with bipolar affective disorder.Methods: Collect and analyze research articles on Update Therapy for Post-COVID Syndrome Patients with Bipolar Affective Disorder. These articles were obtained by searching using Google Scholar, PubMed/NCBI, and SAGE Journal. Results: The use of combination drugs between antipsychotics and antidepressants with hydroxychloroquine/azithromycin is not recommended because it has side effects that can induce psychiatric symptoms. COVID-19 patients with bipolar disorder (BD) who do not respond to pharmacotherapy may receive electroconvulsive therapy (ECT). Non-pharmacological therapies such as counseling and the use of telepsychiatry are effective in treating mental health and overcoming adverse psychological effects.Conclusion: COVID-19 patients with bipolar affective disorder require unique therapy to avoid drug interactions and pharma-cotherapy. Non-pharmacological efforts include counseling and telepsychiatry to cope with emotional distress and mental health challenges. However, challenges remain in providing care for these patients.
Limbah Rumah Tangga Minyak Jelantah Menjadi Peluang Kerjasama Bermanfaat Dengan Kepul Online Jusdienar, Akka Latifah; Firdaus, Ahmad; Milisani, Meirna
Dedikasi: Jurnal Pengabdian Lentera Vol. 1 No. 05 (2024): Juni 2024
Publisher : Lentera Ilmu Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59422/djpl.v1i05.448

Abstract

Minyak jelantah adalah minyak goreng bekas yang telah digunakan untuk menggoreng makanan. Setelah beberapa kali digunakan, minyak ini sering kali mengalami perubahan warna, bau, dan rasa, serta mengandung residu dari bahan makanan yang digoreng. Penggunaan minyak jelantah yang berulang-ulang dapat berbahaya bagi kesehatan karena dapat mengandung senyawa berbahaya seperti akrolein dan akrilamida, yang berpotensi menyebabkan berbagai penyakit. Minyak jelantah berasal dari berbagai jenis minyak bekas, seperti minyak jagung, minyak sayur, minyak samin, dan sebagainya. Karena minyak jelantah ini berbahaya, maka harus mendapatkan penanganan yang tepat agar tudak mencemari lingkungan. Untuk itu minyak jelantah ini dapat dijual kepada para pengepul yang mencintai lingkungan. Sosialisasi mengenai dampak dan pemanfaatan limbah minyak jelantah merupakan salah satu Upaya meningkatkan kesadaran Masyarakat terhadap lingkungan. Untuk mengelola minyak jelantah, beberapa tindakan yang bisa dilakukan antara lain: Daur Ulang Minyak jelantah dapat didaur ulang menjadi suatu produk lainnya. Pembuangan yang Aman dengan menhindari membuang minyak jelantah langsung ke saluran pembuangan. Minyak ini bisa menyebabkan penyumbatan dan pencemaran lingkungan. Sebaiknya kumpulkan minyak jelantah dalam wadah tertutup dan serahkan ke tempat pengumpulan yang sesuai. Penggunaan Kembali yang Aman yaitu jika ingin digunakan kembali, saring minyak jelantah untuk menghilangkan partikel-partikel sisa makanan. Namun, pastikan untuk tidak menggunakannya terlalu sering. Hasilnya minyak jelantah dapat didistribusikan kepada para pengepul atau biasa disebut dengan kepul Online, yaitu perusahaan yang peduli pada lingkungan sehingga minyak jelantah menjadi bermanfaat dan bernilai ekonomis. Jadi Kesimpulannya Masyarakat menjadi terbuka wawasannya karena sudah memperoleh informasi dan pemahaman dari narasumber dan diuraikan tentang pengumpulan minyak jelantah menjadi peluang bekerja sama dengan Kepul Online dalam hal pemanfaatan nilai ekonomis dari limbah minyak jelantah.
PENGARUH KUALITAS PELAYANAN DAN KEUNGGULAN PRODUK TERHADAP LOYALITAS NASABAH PADA PT. BRI (PERSERO) TBK Wicaksana, Gilang Adi; Idris, Ahmad; Afrianto, Dadang; Firdaus, Ahmad
Commodities, Journal of Economic and Business Vol 4 No 3 (2024): January 2024
Publisher : FKDP (Forum Komunikasi Dosen Peneliti)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59689/commo.v4i3.974

Abstract

The purpose of this study was to determine the significant effect of service quality and product excellence on customer loyalty at PT. Bank Rakyat Indonesia (Persero) Tbk Gurah Kediri Work Unit partially and simultaneously in January-May 2020. The type of research used is quantitative research with a causal approach with the research population, namely all customers with a total of approximately 200 customers each month who make loans at PT. Bank Rakyat Indonesia (Persero) Tbk Gurah Work Unit. Data obtained from the results of questionnaires and surveys of research objects. Based on the research, it shows that there is a significant effect partially and simultaneously between service quality and product excellence on customer loyalty at PT. Bank Rakyat Indonesia Tbk, Gurah Kediri Work Unit. This is indicated by the service quality variable with the test results obtained t count 3,871, and product superiority 4,490 <t table 1,662, the F value count 20,138, the value> F table 3,098 and the significance value <significant level that is 0,000 <0.05, then the hypothesis H0 is rejected and Ha is accepted.
KLASIFIKASI KASUS COVID-19 MENGGUNAKAN MODEL NAIVE BAYES CLASSIFIER Firdaus, Ahmad; Walid, Miftahul; Anwari, Anwari
JATI (Jurnal Mahasiswa Teknik Informatika) Vol. 6 No. 2 (2022): JATI Vol. 6 No. 2
Publisher : Institut Teknologi Nasional Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36040/jati.v6i2.5333

Abstract

Covid-19 dengan berbagai macam penanganannya membuat banyak pertentangan menyertainya. Untuk mengetahui apakah benar kasus pasien terkonfirmasi positif covid-19 tinggi atau rendah. Dalam penelitian ini, model Naive Bayes Classifier memprediksi bahwa kasus covid-19 di Pamekasan tinggi (>= 30 orang) dan model Gaussian Naive Bayes menunjukkan kinerja yang sangat baik dengan nilai akurasi model sebesar 0,9688 serta nilai precision (0,97), recall (1,00) dan f-1 score (0,98). menunjukkan bahwa data yang menyatakan kasus covid-19 di Kabupaten Pamekasan termasuk tinggi dengan pengambilan data dalam rentang waktu Bulan Januari 2021 sampai dengan Desember 2021. Diharapkan untuk penelitian selanjutnya sistem dapat dikembangkan lagi karena data yang didapat saat ini masih terbatas
The Rise of Deep Learning in Cyber Security: Bibliometric Analysis of Deep Learning and Malware Kamarudin, Nur Khairani; Firdaus, Ahmad; Osman, Mohd Zamri; Alanda, Alde; Erianda, Aldo; Kasim, Shahreen; Ab Razak, Mohd Faizal
JOIV : International Journal on Informatics Visualization Vol 8, No 3 (2024)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/joiv.8.3.1535

Abstract

Deep learning is a machine learning technology that allows computational models to learn via experience, mimicking human cognitive processes. This method is critical in the development of identifying certain objects, and provides the computational intelligence required to identify multiple objects and distinguish it between object A or Object B. On the other hand, malware is defined as malicious software that seeks to harm or disrupt computers and systems. Its main categories include viruses, worms, Trojan horses, spyware, adware, and ransomware. Hence, many deep learning researchers apply deep learning in their malware studies. However, few articles still investigate deep learning and malware in a bibliometric approach (productivity, research area, institutions, authors, impact journals, and keyword analysis). Hence, this paper reports bibliometric analysis used to discover current and future trends and gain new insights into the relationship between deep learning and malware. This paper’s discoveries include: Deployment of deep learning to detect domain generation algorithm (DGA) attacks; Deployment of deep learning to detect malware in Internet of Things (IoT); The rise of adversarial learning and adversarial attack using deep learning; The emergence of Android malware in deep learning; The deployment of transfer learning in malware research; and active authors on deep learning and malware research, including Soman KP, Vinayakumar R, and Zhang Y.
Features, Analysis Techniques, and Detection Methods of Cryptojacking Malware: A Survey Kadhum, Laith M; Firdaus, Ahmad; Hisham, Syifak Izhar; Mushtaq, Waheed; Ab Razak, Mohd Faizal
JOIV : International Journal on Informatics Visualization Vol 8, No 2 (2024)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/joiv.8.2.2725

Abstract

Various types of malwares are capable of bringing harm to users. The list of types are root exploits, botnets, trojans, spyware, worms, viruses, ransomware, and cryptojacking. Cryptojacking is a significant proportion of cyberattacks in which exploiters mine cryptocurrencies using the victim’s devices, for instance, smartphones, tablets, servers, or computers. It is also defined as the illegal utilization of victim resources (CPU, RAM, and GPU) to mine cryptocurrencies without detection. The purpose of cryptojacking, along with numerous other forms of cybercrime, is monetary gain. Furthermore, it also intended to stay concealed from the victim's viewpoint. Following this crime, to the author's knowledge, a paper focusing solely on a review of cryptojacking research is still unavailable. This paper presents cryptojacking detection information to address this deficiency, including methods, detection, analysis techniques, and features. As cryptojacking malware is a type that executes its activities using the network, most of the analysis and features fall into dynamic activities. However, static analysis is also included in the security researcher’s option. The codes that are involved are opcode and JavaScript. This demonstrates that these two languages are vital programming languages to focus on to detect cryptojacking. Moreover, the researchers also begin to adopt deep learning in their experiments to detect cryptojacking malware. This paper also examines potential future developments in the detection of cryptojacking.
EVALUASI RANAH SIKAP BERBAHASA TERHADAP PEMAHAMAN LITERASI SISWA SEKOLAH DASAR PADA CERITA RAKYAT “BATU MENANGIS” Firdaus, Ahmad; Mabruroh, Mabruroh; Shofia Zahra Agustina; Yuyu Yuhana
Pendas : Jurnal Ilmiah Pendidikan Dasar Vol. 9 No. 03 (2024): Volume 09, Nomor 03, September 2024 In Progres
Publisher : Program Studi Pendidikan Guru Sekolah Dasar FKIP Universitas Pasundan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23969/jp.v9i03.16497

Abstract

This study focuses on the analysis of literacy understanding in folklore. Folk poetry is a part of oral literature that is widely found around the student environment. In the cognitive development of students, folklore is one of the teaching materials that can increase students' understanding of the surrounding area. Thus, it can be analyzed simultaneously related to the evaluation of the realm of students' language attitudes towards literacy understanding from the folklore read. This study is quantitative research with a descriptive research design. The researcher described the students' language attitude towards literacy understanding from the folklore "Batu Menangis". The population in this study is 30 students in class IV SD Unggulan Uswatun Hasanah. Data collection was carried out with a questionnaire on language attitudes and literacy comprehension. The data analysis in this study uses a statistical calculation method with the help of the SPSS 21 program. The results of the research analysis show that it can be categorized that students' attitudes towards understanding story literacy are included in the good category. The data was obtained that of the total research subjects, there were 10 subjects who had a very good assessment of Indonesian language attitudes. The results of the above analysis also show that there is a desire for students to reflect on themselves to contribute to the development of the Indonesian language is still very good. By understanding the realm of language affective in literacy understanding, students can implement it in their environment.
Financial Management Strategies for Improving The Performance of Small and Medium Enterprises: A Case Study of Traditional Indonesian Food Outlets Darmawan, Dhany Isnaeni; Adiyanto, Yoga; Sunaryo, Deni; Firdaus, Ahmad
Ilomata International Journal of Management Vol. 6 No. 1 (2025): January 2025
Publisher : Yayasan Sinergi Kawula Muda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61194/ijjm.v6i1.1444

Abstract

This study seeks to examine the impact of financial management on enhancing the performance of Micro, Small, and Medium Enterprises (MSMEs), particularly in traditional Indonesian food outlets. Data were gathered through direct observation of these MSMEs using primary sources. The research adopts an action research approach with a case study method. Data collection techniques included interviews, observations, and documentation. The analysis used Multiple Linear Regression, Classical Assumption Testing, and Hypothesis Testing with SPSS software. The findings reveal that financial planning, financial record-keeping, and the separation of personal and business finances have a significant and positive effect on the performance of MSMEs. The R-Square (R²) value of 0.825 indicates that these independent variables can explain 82.5% of MSME performance variation, while the remaining 17.5% is attributed to other factors not explored in this study. The practical implications of this research suggest that traditional Indonesian food MSMEs should emphasize structured financial planning, accurate financial record-keeping, and precise separation of personal and business finances. These practices will enable MSMEs to assess their performance better and make informed business decisions. The study recommends that MSMEs adopt sound financial planning practices, maintain precise financial records, and consistently separate personal from business finances. By doing so, MSMEs can improve their financial management, enhancing business performance and sustainability.
Penerapan Metode Dakwah Mujadalah di Majelis Taklim Anwar, Saeful; Firdaus, Ahmad
LANTERA: Jurnal Komunikasi dan Penyiaran Islam Vol. 1 No. 2 (2023): Juni
Publisher : Universitas Islam Nusantara, Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30999/lantera.v2i1.2692

Abstract

Tujuan penelitian ini untuk memahami metode dakwah mujadalah. Riset ini menggunakan pendekatan kualitatif dengan metode deskriptif-analitik. Fokus penelitian ini adalah menganalisis berbagai literatur dan fenomena dakwah kontemporer. Melalui studi ini, disimpulkan bahwa dalam konteks majelis taklim, metode dakwah mujadalah dapat diaplikasikan melalui berbagai media komunikasi modern seperti televisi, radio, internet, buletin, majalah, dan buku. Dalam era perkembangan teknologi informasi dan komunikasi, media-media ini dapat menjadi sarana efektif untuk menyampaikan pesan dakwah kepada masyarakat. Secara keseluruhan, penerapan metode dakwah mujadalah di majelis taklim dapat meningkatkan religiusitas umat, membangkitkan pemahaman yang lebih dalam, mengembangkan kecerdasan, serta memberikan sumbangsih dalam pembinaan dan peningkatan kualitas hidup umat Islam. Metode ini relevan dengan perkembangan zaman dan memberikan alternatif yang sesuai dengan kebutuhan masyarakat yang semakin kritis dan beragam dalam berpikir.
Analisis Kemampuan Abstraksi Matematis berdasarkan Teori Van Hiele Pada Siswa Sekolah Menengah Atas Firdaus, Ahmad; Maryono, Iyon; Solehudin, Solehudin
Jurnal Perspektif Vol 8, No 1 (2024): Jurnal Perspektif: Volume 8 Nomor 1 Tahun 2024
Publisher : UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/jp.v8i1.273

Abstract

Penelitian ini bertujuan untuk menganalisis proses abstraksi siswa kelas XI IPA SMA dalam memahami materi berdasarkan teori Van Hiele. Metode yang digunakan dalam penelitian ini adalah metode kualitatif. Data dianalisis melalui tiga tahap, yaitu tahap reduksi data, penyajian data dan penarikan kesimpulan. Hasil analisis data yang didapatkan dari lima tahap abstraksi matematis berdasarkan teori Van Hiele bahwa kemampuan siswa hanya pada tahap 0 sampai tahap 2, sedangkan untuk tahap 3 dan tahap 4 tingkat berpikir siswa kelas XI IPA masih kesulitan dalam membuktikan suatu konsep dan pada tahap ini juga merupakan tahap berpikir yang tinggi, rumit dan kompleks. Simpulan, kemampuan abstraksi matematis siswa kelas XI IPA 3 salah satu SMA di Bandung dalam memahami dan menyelesaikan soal kemampuan abstraksi matematis berdasarkan Teori Van Hiele perlu ditingkatkan
Co-Authors Ab Razak, Mohd Faizal Abdul Wahab Adi Siswanto Afrianto, Dadang Alde Alanda, Alde Aldo Erianda, Aldo Amalia, Firqo amperawati, metty Azhary, Muhammad Royyan Faqih Azizi, Muhammad Azmidar Azmidar, Azmidar bin Asis, Joharis Buhaerah Buhaerah, Buhaerah Busrah, Zulfiqar Cindy Desiana Darmawan, Dhany Isnaeni Deni Sunaryo, Deni Dwiputri, Adelita Vega Eko Budi Satoto Endang Fatmawati Era Catur Prasetya Faiz, Muhammad Fauzi, Fahrian Al Hairul Anwar, Hairul Hartoni ., Hartoni Hasbillah, Ahmad Ubaydi Hilma, Hidayatul Maslakha Hisham, Syifak Izhar Idris, Ahmad Indarwati Indarwati Irkadiratna, Aderisti Irwan Abdullah Jati, prihatina Jusdienar, Akka Latifah Kadhum, Laith M Kahar Kamarudin, Nur Khairani Lailiyah, Sufil Lien Maulina Lilik Andaryuni Lina - Mariana, Lina - Lukman Hakim M.Pd, Drs. Hermanzoni, M.Pd, Prof.Dr. Alnedral, Mabruroh, Mabruroh Maryono, Iyon Melki Melki Milisani, Meirna Muhammad Agus Muljanto Muhammad Asir Muhammad Muslih munifa, Munifa Mushtaq, Waheed Narulitia, Adinda Nisa, Sifa Khoridatun Nugraha, Adi Satria Nur Sandi Marsuni Odien Rosidin Oktayudra, Farhan Osman, Mohd Zamri Paray Theo Lonando Pratikno, Yuni Rachman, Siswati Ratnawita Ratnawita Resti Resti Riris Aryawati Rosid Bahar S.Pd. M.Pd, Sari Mariati, Saeful Anwar, Saeful Secka, Absa Setyobudi Setyobudi Shahreen Kasim, Shahreen Shofia Zahra Agustina Siti Choiriyah Siti Utami Dewi Ningrum Solehudin, Solehudin Sri Nuryati Sri Wahyuningsih Suprapto Suprapto Walid, Miftahul Wicaksana, Gilang Adi Yoga Adiyanto, Yoga Yuliani, Nur Fadny Yuyu Yuhana