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Articles

Examining Linkage Factors in Stock Prices Ajeng, Putri; Suun, Muhammad; Subhan, Subhan
Advances in Management & Financial Reporting Vol. 1 No. 2 (2023): February - May
Publisher : Yayasan Pendidikan Bukhari Dwi Muslim

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60079/amfr.v1i2.118

Abstract

Purpose: This study examines the influence of Return on Assets (ROA), Return on Equity (ROE), Net Profit Margin (NPM), and Earnings per Share (EPS) on the stock prices of companies included in the LQ45 index and listed on the Indonesia Stock Exchange during the 2019-2021 period. The research hypothesizes that each of these financial metrics has a significant impact on stock prices. Research Design and Methodology: The research adopts a quantitative approach, utilizing secondary data from company financial reports on the Indonesia Stock Exchange website. The sample, comprising ten issuers, was selected using purposive sampling. The analysis was conducted using the Statistical Product and Service Solutions (SPSS 26) software to assess the relationships between the independent variables (ROA, ROE, NPM, EPS) and the dependent variable (stock prices). Findings and Discussion: The findings reveal that ROA and NPM positively and significantly impact stock prices, indicating that companies with higher returns on assets and profit margins are likely to experience increases in their stock prices. Conversely, ROE has a negative and significant effect on stock prices, suggesting that higher returns on equity may not always align with higher stock prices. Additionally, EPS has a positive and significant effect on stock prices, highlighting its importance as a profitability measure for investors. Implications: These results have practical implications for investors and company management, suggesting that improving ROA, NPM, and EPS can positively influence stock prices. However, the negative relationship between ROE and stock prices warrants further investigation. Future research should explore the underlying reasons for this inverse relationship and consider additional variables that may impact stock price movements.
Professional Skepticism, Audit Experience, Time Pressure and Fraud Detection Subhan, Subhan
Advances in Managerial Auditing Research Vol. 1 No. 1 (2023): October - January
Publisher : Yayasan Pendidikan Bukhari Dwi Muslim

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60079/amar.v1i1.24

Abstract

The purpose of this study was to identify and analyze the influence of professional skepticism, audit experience, and time pressure on fraud detection at the Selayar Islands District Inspectorate. The population in this study were all employees working at the Inspectorate of the Selayar Islands Regency totaling 48 people. The sampling technique for this study used a purposive sampling technique. The data used in this study are primary data collected by distributing questionnaires to all respondents, with data analysis techniques that will be carried out namely validity and reliability tests, classical assumption tests, multiple linear regression analysis and hypothesis testing consisting of partial tests (t test ) and simultaneous test (test f). The results showed that professional skepticism and audit experience had a positive effect on fraud detection at the Selayar Islands District Inspectorate. Meanwhile, time pressure has a negative effect on the detection of fraud at the Inspectorate of the Selayar Islands Regency.
Urgency of Noble Characters’ Education and Building Students’ Prosocial Behaviors Safrilsyah, Safrilsyah; Ibrahim, Ibrahim; Marwan, Marwan; Yusoff, Mohd. Zailani Mohd.; Subhan, Subhan; Darusman, Mhd. Ricky
Jurnal Ilmiah Peuradeun Vol. 12 No. 3 (2024): Jurnal Ilmiah Peuradeun
Publisher : SCAD Independent

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26811/peuradeun.v12i3.1183

Abstract

The rapid advancement of information technology challenges Muslim youths, fostering individualism and antisocial behaviors, thus necessitating effective education strategies to promote prosocial actions. This research aimed to summarize studies on the formation of prosocial behavior through character education methods from the synthesis of several studies and review effective methods for developing prosocial behavior. This research used a literature review method for several articles about social behavior and character education. Data collection was carried out by studying the documentation of several previous articles through database searches such as Google Scholar, Sinta, Science Direct, and Taylor and Francis. The data analysis technique used was qualitative descriptive analysis. The results of this research indicated that the noble character development method will be effective in forming prosocial behavior. The character education method by focusing on the appreciation of noble moral values in character education produced positive habits. The process of realizing noble moral values was through various moral education methods, such as Tadzkiroh, the religious lessons with regular Islamic discussion activities that combined subjects with noble moral values and exemplary methods.
ANALYSIS OF THE ROLE OF SAVING AND LOAN CREDIT IN PNS RETIREMENTS IN THE NASARI SAVING AND LOAN COOPERATIVE (KSP) KOTA LHOKSEUMAWE Rahmayani, Putri; Listya Ningtiyas, Hastanti; Haris Al-Muridhillah, Sultan; Rizal, Chairul; Subhan, Subhan
Journal of Accounting Research, Utility Finance and Digital Assets Vol. 1 No. 3 (2023): January
Publisher : PT. Radja Intercontinental Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (454.683 KB) | DOI: 10.54443/jaruda.v1i3.37

Abstract

This study aims to determine the growth of pension credit at the Nasari Savings and Loans Cooperative, Lhokseumawe City. The methodology used in the research process is descriptive qualitative, namely knowing the growth of pension credit each year at the Nasari Savings and Loans Cooperative, Lhokseumawe City, using existing data. The analysis used in this research is trend analysis. The results showed that the growth of pension credit in the Nasari Savings and Loans Cooperative fluctuated and tended to decrease with the average credit growth. The author gives advice to the Nasari Savings and Loans Cooperative in Lhokseumawe City in order to reduce interest rates on pension credit loans, so that they can compete with other cooperatives and increase credit growth every year.
KONSEP ILMU PENGETAHUAN (SAINS) DALAM AL-QUR’AN DAN KAITANNYA DENGAN PENDIDIKAN SAINS UNTUK ANAK USIA DINI Subhan, Subhan
TUNAS CENDEKIA: Jurnal Program Studi Pendidikan Anak Usia Dini Vol. 5 No. 1 (2022): Tunas Cendekia
Publisher : Institut Agama Islam Negeri (IAIN) PALOPO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24256/cendekia.v5i1.3786

Abstract

Hakikat sains dan posisi anak sebagai subjek dan objek kajian seringkali menjadi polemik di kalangan cendekiawan. Perkembangan ilmu sains yang pesat, serta pembahasannya dalam berbagai dimensi keilmuan—terutama dari perspektif Al-Qur'an yang menyangkut kontekstualisasi kebenaran mutlak di atas teori (Darsitun, 2021)—sering menimbulkan kebingungan mengenai bagaimana memposisikan konten, konsep, dan subjek dalam pembelajaran sains untuk anak usia dini. Hal ini terutama relevan bagi lembaga Raudhatul Athfal yang menerapkan kurikulum dengan pendekatan integrasi keislaman (Haryati, 2023) dan konsep pendidikan kontemporer (Susilawati & Musa, 2020), yang bertujuan mencetak generasi Islam sesuai dengan visi Kementerian Agama. Integrasi sains dengan perspektif Al-Qur'an dalam pembelajaran anak usia dini merupakan tantangan besar. Dalam teologi keilmuan, Al-Qur'an diposisikan sebagai “tanda” dari peristiwa atau konsep sains (Adhiguna & Bramastia, 2021) melalui ayat-ayat yang bersifat kontekstual (Putri dkk., 2023). Hal ini membuat pengintegrasian sains dalam Al-Qur'an menjadi sulit diterjemahkan ke dalam ranah praktis-aplikatif dalam pembelajaran sains untuk anak usia dini. Oleh karena itu, penting untuk mengkonseptualisasikan pola dasar yang dapat menempatkan sains, sains dalam Al-Qur'an, dan kurikulum, serta karakteristik anak usia dini dengan tepat.
KELIMPAHAN RELATIF BENIH LOBSTER (PUERULUS) PADA BIO-ATRAKTOR DI PERAIRAN RANOOHA RAYA KABUPATEN KONAWE SELATAN, SULAWESI TENGGARA Muhammad Fajar Purnama; Salwiyah Salwiyah; Subhan Subhan; Amadhan Takwir; La Ode Abdul Rajab Nadia
Jurnal Perikanan Unram Vol 12 No 3 (2022): JURNAL PERIKANAN
Publisher : Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jp.v12i3.313

Abstract

Benih lobster fase puerulus merupakan stadia yang rentan oleh aktivitas predasi dan eksploitasi karena memiliki nilai ekonomi yang tinggi, sehingga perlu adanya introduksi teknologi konservasi yang mampu memproteksi siklus hidup secara alami benih lobster hingga dewasa di alam, dalam hal ini aplikasi bio-atraktor untuk tujuan perlindungan sumber daya benih lobster. Penelitian ini dilaksanakan pada bulan Agustus sampai Oktober 2020, bertempat di Perairan Ranooha Raya Kabupaten Konawe Selatan. Tujuan penelitian ini adalah mengetahui kelimpahan relatif benih lobster (Puerulus) pada bio-atraktor. Penentuan stasiun penelitian menggunakan teknik purposive sampling atau secara sengaja berdasarkan lokasi fishing ground atau daerah penangkapan benih lobster nelayan Desa Ranooha Raya. Pengambilan sampel dilakukan dengan menempatkan bio-atraktor di kawasan penangkapan benih lobster (± 400 m dari garis pantai). Teknis pemasangan bio-atraktor dilakukan dengan cara menempatkannya pada media longline atau tali horizontal bekas perangkat budidaya rumput laut. Trip penangkapan atau pemasangan bio-atraktor berlangsung pada sore - malam hari (Pukul 17.00-03.00 WITA) hingga pengangkatan bio-atraktor pada pagi hari (Pukul 04.00-05.00 WITA). Kelimpahan relatif benih lobster pada periode Agustus sebesar 154 ind./trip, 143 ind./trip pada bulan September dan periode Oktober yaitu 139 ind./trip. Sedangkan menggunakan atraktor pocong-pocong yang digunakan oleh nelayan setempat sebesar 83-102 ind./trip. Hal ini menjadikan bio-atraktor sebagai prototipe konservatif untuk menjaga kelangsungan hidup (life cycle) benih lobster di perairan Ranooha Raya.
Improved recommender system using Neural Network Collaborative Filtering (NNCF) for E-commerce cosmetic product Subhan, Subhan; Syarif, Deny Lukman; Widhihastuti, Endah; Rakainsa, Senda Kartika; Sam'an, Muhammad; Ifriza, Yahya Nur
SINERGI Vol 29, No 1 (2025)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/sinergi.2025.1.014

Abstract

This study presents an enhanced recommender system tailored for e-commerce platforms specializing in cosmetic products. Traditional recommender systems often need help providing accurate and personalized recommendations due to the complexity and subjectivity inherent in cosmetic preferences. In e-commerce, personalized product recommendations are crucial to improving user engagement and driving sales. This paper presents an innovative approach to enhance recommendation systems by leveraging neural network collaborative filtering techniques for the cosmetic product domain. The proposed method integrates neural networks into collaborative filtering, namely neural network collaborative filtering with improved preprocessing step. To validate the effectiveness of our proposed system, extensive experiments were conducted using real-world e-commerce cosmetic datasets "eCommerce Event History in Cosmetics Shop".   Additionally, we evaluate the system's performance using historical e-commerce event data in cosmetics stores, demonstrating the system's effectiveness with mean reciprocal ratings (MRR) and normalized discount cumulative gain (NDCG). Evaluation Metrics of MRR and NDCG in this study got 0.56 and 0.60, respectively, with a split of the data: 70% train data, 15% validation data, and 15% test data. This study obtained better evaluation metrics than the previous study, which had an MRR of 0.31 and NDGC of 0.32. Furthermore, this model exhibits robustness against data sparsity and cold-start problems commonly encountered in e-commerce platforms. This research advances knowledge of recommendation systems and paves the way for more personalized and efficient online shopping experiences.
Rainfall prediction in Blora regency using mamdani's fuzzy inference system Damayanti, Dela Rista; Wicaksono, Suntoro; Hakim, M. Faris Al; Jumanto, Jumanto; Subhan, Subhan; Ifriza, Yahya Nur
Journal of Soft Computing Exploration Vol. 3 No. 1 (2022): March 2022
Publisher : SHM Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52465/joscex.v3i1.69

Abstract

In the case study of weather prediction, there are several tests that have been carried out by several figures using the fuzzy method, such as the Tsukamoto fuzzy, Adaptive Neuro Fuzzy Inference System (ANFIS), Time Series, and Sugeno. And each method has its own advantages and disadvantages. For example, the Tsukamoto fuzzy has a weakness, this method does not follow the rules strictly, the composition of the rules where the output is always crisp even though the input is fuzzy, ANFIS has the disadvantage of requiring a large amount of data. which is used as a reference for calculating data patterns and the number of intervals when calculating data patterns and Sugeno has the disadvantage of having less stable accuracy results even though some tests have been able to get fairly accurate results. In research on the implementation of the Mamdani fuzzy inference system method using the climatological dataset of Blora Regency to predict rainfall, it can be concluded as follows: (1) The fuzzy logic of the Mamdani method can be used to predict the level of rainfall in the city of Blora by taking into account the factors that affect the weather, including temperature, wind speed, humidity, duration of irradiation and rainfall. (2) Fuzzy logic for prediction with uncertain input values is able to produce crisp output because fuzzy logic has tolerance for inaccurate data. (3) The results of the accuracy of calculations using the Mamdani fuzzy inference system method to predict rainfall in Blora Regency are 66%.
Dhikr Rateeb Siribee and its Effect in Reducing Anxiety Among the MPTT-I Aceh Congregation Members Safrilsyah, Safrilsyah; Karjuniwati, Karjuniwati; Damanhuri, Damanhuri; Suud, Fitriah M.; Subhan, Subhan; Darusman, Mhd. Ricky; Maghfirah, Wina
Ulumuna Vol 28 No 1 (2024): June
Publisher : Universitas Islam Negeri Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20414/ujis.v28i1.1014

Abstract

The dissemination of information via social media has significantly impacted psychological issues such as stress, fear, and anxiety within society. This is exemplified by the MPTT-I congregation in Aceh, who frequently faces societal rejection regarding their dhikr practices. This study aims to evaluate the effectiveness of dhikr in alleviating anxiety among members of the Indonesian Sufism Study (MPTT-I & Dhikr Rateb Seribe). This study uses a quantitative, quasi-experimental method with a nonrandomized pretest-posttest control group design. The study involved 20 subjects, evenly divided into experimental and control groups. The data collection used the Greenberger and Padesky anxiety scale. The results indicated a significant reduction in anxiety among the MPTT-I congregation following the implementation of the Dhikr. These findings suggest that dhikr is effective in reducing anxiety within the MPTT-I & Dhikr Rateb Seribe community.
Website-Based Expert System for Diagnosing Epilepsy in Children Using the Forward Chaining Method Nasser, Rahmawati; Subhan, Subhan; putri, iin karmila
International Journal of Engineering and Computer Science Applications (IJECSA) Vol 3 No 2 (2024): September 2024
Publisher : Universitas Bumigora Mataram-Lombok

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/ijecsa.v3i2.4524

Abstract

Information technology has been used in various sectors of life, including the health sector. One of them is the use of expert systems in diagnosing disease. Disease diagnosis carried out by an expert has weaknesses along with the expert's biological weaknesses. One technology that can be a solution is an expert system. This research aims to build a web-based expert system for diagnosing epilepsy in children, along with things that parents can do when treating epilepsy patients. The method used in this research is forward chaining, and system testing is carried out using the Black Box method. From the system design that has been created and tested, a web-based expert system application for diagnosing epilepsy in children has been produced. The black-box testing results show that all menus function well and as expected. The results of expert testing and user testing results obtained a final score of 3.8, which means the assessment is in the very suitable category. Apart from that, it will provide information and education to the public, in this case, the parents of epilepsy patients, regarding the type of epilepsy the child suffers from and how to treat it, which can be accessed anywhere and at any time.
Co-Authors A Arwan A. Haris Aan Supian, Aan Abas Oya Abdul Kohar Abdul Rahman Abdullah, Hasyimi Abu Zinah, Mansur Muhammad Achmad, Adang Darmawan Achmad, Hamzah Adawiyah, Robi'Atul Adi Imam Wahyudi Adiansyah, Adi Aditia Yudhistira Agam Muarif Agung Ginanjar Anjaniputra Agus Mega Saputra , Gde Agussabti Agussabti Ahmad Hermanto Ajeng, Putri Aji Purwinarko, Aji Al Faruq, Abdillah Achmad Alawiyyah, Azizah Albert Alfikri Alfian, Elvi Alfian, Nurul Amadhan Takwir Amrin Amrin Amrullah, Baso Andang Sunarto Anggyi Trisnawan Putra Aninditia Sabdaningsih AR Pelu, Muhammad Faisal Arbi Mei Gitarama, Arbi Mei ARI SUSANTO Arifin, Fajar Arisandi, Dea Arisandi, Nabila Dea Arshad, Muhammad Waqas Arwan Arwan Asmi, Ulul Asnaini Asnaini, Asnaini Asriyana, . Asyadi, Teuku Murisal Auli Irfah Aulia, Ismi Fitri Bakri, Asriady Baru Sadarun Basalamah, Salim Baso, Nasir Andi Betutu Senggagau, Betutu Budi Prasetiyo, Budi Budi, Arief Setya Damanhuri Damayanti, Dela Rista Darusman, Mhd. Ricky Dedi Sunardi Digbun, Limpu I. Dimas, Dimas Disnawati Disnawati, Disnawati Diyah Ulhaq, Aura Djauhar, Asri Dwi Koerniawati Dyah Ayu, Dyah edy susanto Eko Harianto, Eko Elman Johari Fachry Abda El Rahman Fadjar Noer Dzaman Putra Metha, Muh Fadli, Bagus Muhammad Faisal Faisal Farida, Eka Fathorrahman Fathorrahman, Fathorrahman Fatma Hetami Fauzan . Fauzi Fauzi Finawan, Aidi Firdaus, M. Arya Fuad Rahman Ghufron, Zaki Gunawan, Rolly Gustina, Vera Hairuddin, Sitti Hartati Hakim, M Faris Al Hakim, M. Faris Al Hamzah Hamzah Hapsyah, Ayu Siti Hardiana, Hardiana Haris Al-Muridhillah, Sultan Hartono, Rudi Hasaniyah, Alfi Hasanuddin Hasanuddin Hasbullah, Amilia Hatma, Muhammad Iksan Hayati, Siti Rahmah Heriansyah Hermawansyah, Hermawansyah Hidayanti, Ida E. Husein, Muhammad Ahmi I Wayan Sudiarta Ibrahim Ibrahim Ika Sartika ILHAM DJUFRI Ilyas Ilyas Ilzamudin Ira Ira, Ira Isa, Muzamir Islahudin Isnah, Isnah Itaniyah, Siska Jamilatul Badriyah Johri Sabaryati, Johri Joyo, Harisman Judijanto, Loso Jumanto Jumanto Jumanto, Jumanto Junaidi Junaidi Jupri Jupri Kamariah Hasis, Pertiwi Karjuniwati, Karjuniwati Karmin, Rhomariotha Chabeyrumania Bin Keumala, Syafia Aisyah Khaeroni, Khaeroni Khairil Anwar Khairul Anshar Khoirunnurfauzan, M. Raka Alfansyah Kolibongso, Duaitd Kresnasari, Dewi Kurnia Putra, Nanda Kurnia, Wahyu Kusmiati, Eti La Ode Abdul Rajab Nadia La Ode Alirman Afu, La Ode Alirman La Ode M. Yasir Haya, La Ode M. Lannai , Darwis Lateh, Musammil Latuperissa, Debby Lawelle, Sjamsu Alam Linda Sekar Utami Listya Ningtiyas, Hastanti Loilatu, Bihima Maghfirah, Wina Maimun Maimun Manja Meyky Bond, Manja Meyky Marwan Marwan Masuwd, Mowafg Misnawati Misnawati Mohammad Faris, Mohammad Mohammad Irfan Mufrodi Mufrodi, Mufrodi Muh. Juliman, Aminasry Muhammad Fadhil Muhammad Fajar Purnama Muhammad Idris Muhammad Muhammad Muhammad Ramli Muhammad Thaib Hasan Muhammad Trial Fiar Erawan Muhammad Yani, Muhammad Muhandas, Ramon Muharram, Mahatir Muliadi Munawar Khalil Munir Yusuf, Munir Musaddad, Endad Muslim Muslim Afandi Muslimah Muslimah Musni, La Ode Mustanir Mustanir Muvida Muvida N, Panggabean Sylvia Nadia, La Ode Abdul Rajab Nasrulloh, Yufii M Nasser, Rahmawati Ningsih, Nurwidia Ningtiyas, Dinda Nirsantuni, Baiq Nono Sutrisno Noviyanti, Shobihatul Fitroh NUR AENI Nur Amelia, Riska Nur Hidayati Nurhayati, Naimila Nuru Ramadhani, Salsabila Nurul Fahira , Andi Pamungkas, Dimas Hardi Pandey, Govinda Prashad Pangerang, Utama K Pelu, M Faisal A R Permana, Beny Pramukti, Andika Pranoto, Raka Aldi Prasetyo, Dito Pratikino, A. Ginong Putra, Devrian Ali Putri, Devi lestari Pramita Putri, Iin Karmila Qotadah, Hudzaifah Achmad Rachmaniar Myrianda Dwiputri Rahmadani Rahmadani Rahman, Arwan Arif Rahmaniar Rahmaniar, Rahmaniar rahmawati, Eli Rahmawati Rahmayani, Putri Rakainsa, Senda Kartika Ramadan, Yusril Muh Retnosari Retnosari, Retnosari Rico Nur Ilham Ridlo, M Rasyid Rika Syahadatina Riza Arifudin Rizal, Chairul Rohmah, Sasqia Rohman, Aria Fatur Rohmaniyah, Rohmaniyah Rohmatunisa, Putri Rahayu Rukmana, Alvi Rumra, M. Yamin Ruslaini Ruslaini Rusman, Rizal Rusydi Rusydi Sabani, Fatmaridah Sabilu, Kadir Safrilsyah Safrilsyah Saharuddin Sainul, Salmila Salahudin Salahudin Salam, Nur Aini Salsabila, Nabil Salwiyah Salwiyah Salwiyah, Salwiyah Sam'an, Muhammad Saridewi, Fiqra Sarini Yusuf Sauri , Sopiyan Sauri, Sopiyan Setiawansyah Setiawansyah Shaleh , Musliha Sipayung, Baren Sitna Hajar Hadad Sitti Chaeriah Ahsan Sitti Patimah Slamet Budi Prayitno Suharyono Suharyono Suhendi, Fika Dita Suhendra Suhendra Sukmawati, Nilam Surni, Surni Surya, Citra Larashati Susilawati, Susilawati Suud, Fitriah M. Suun, Muhammad Syahadatina, Rika Syamsu Hadi Syarif, Deny Lukman Syuhada, Muhammad Nadhif Syukri Syukri Taufiqqurrahman, Taufiqqurrahman Taupan, Taupan Tenriabeng, Indri Maharani Thahir, Musa Thongkaew, Krishna Tiagita, Freddrick Ulfiandi, Ihsan Zikri Ummi Wahyuni Ustman Ustman Vebrianto, Rian VERAWATY SITUMORANG, CHRISTINA Wahyudi, Jarot Wahyuni Munir, Nur Wahyuni, Ummi Warsandi, Ishaq Wicaksono, Suntoro Widaningsih, Fitri Widhihastuti, Endah Wijaya, Anung Yahya Nur Ifriza YANITA YANITA, YANITA YANTO YAKSEB Yassir Yassir Yovita Yovita Yuri Rahmanto Yuslan, Yuslan Yusoff, Mohd. Zailani Mohd. Yusuf Iis, Em Zarkasih Zarkasih Zubaidah Amir MZ Zulfikar Zulfikar Zulkarnain Zulkarnain Zulkarnain, Zulkarnain