Directory of Scientific Journals Indonesian Society of Applied Science (ISAS)
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Audit Keamanan Sistem Informasi Manajemen Rumah Sakit Dengan Framework COBIT 2019 Pada RSUD Palembang BARI
This study examines the implementation of information system at RSUD Palembang BARI with the aim of enhancing information system security. In this context, a security audit is conducted using the COBIT 2019 framework. The COBIT 2019 domains and processes utilizing include EDM03, APO12, APO13, APO14, and DSS05. The research involves the identification and evaluation of information security risks, determination of necessary security controls, and ensuring compliance with the information security standards established by COBIT 2019. The findings indicate that the level of information system security at RSUD Palembang BARI is at level 3 (Defined), with a gap analysis difference of 1 level below the expected target. Based on the above results, efforts to improve and enhance the information system security at RSUD Palembang BARI are still needed. The use of information system security techniques such as vulnerability scanning, penetration testing, WAF, IDS and IPS, and data encryption, as well as improving security in terms of server physical aspects such as installing CCTV and restricting user access with access cards or fingerprints, can be implemented to ensure compliance with relevant information security standards. Consideration for obtaining security certifications, like ISO 27001, should also be taken. Additionally, the quality of human resources in terms of policy-making and the ability of employees to address threats and attacks on information system security should be improved through training and strengthening coordination among employees.
 
PENGARUH FAKTOR-FAKTOR FUNDAMENTAL TERHADAP NILAI PERUSAHAAN
This research was conducted with the aim of empirically testing the effect of investment decisions, funding decisions and profitability on company value for the period 2018 - 2021. The research area was carried out in real estate and property companies listed on the Indonesia Stock Exchange.
The type of data used is secondary data in the form of financial reports of Real Estate and Property companies that Go Public on the Indonesia Stock Exchange (IDX) during the period 2018 to 2021. The data used are published financial reports. The data was obtained from the IDX website: www.idx.id published in 2018 – 2021. The analytical method used is descriptive statistical analysis and classical assumption tests. The analytical method used to test the hypothesis is multiple linear regression analysis. The results of the study show that investment decisions have no effect on firm value, this is evidenced by the value of t = -0.371 with a significance of 0.711 > of error tolerance = 0.05. Funding decisions have an effect on firm value, this is evidenced by the value of t = 2.101 with a significance of 0.038 < of the error tolerance = 0.05. While profitability affects firm value, this is evidenced by the value of t = -3.535 with a significance of 0.001 < of error tolerance = 0.05. Simultaneously investment decisions, funding decisions, and profitability affect firm value, seen from the value of F = 7.206 with a significance of 0.000. The R2 test results in this study were also obtained at 0.197. This shows 0.197. This shows that firm value is influenced by investment decisions, funding decisions and profitability by 19.7% while the remaining 80.3% is influenced by other factors not examined in this study.
Keywords: Investment Decision, Funding Decision, Profitability and Value Company
ANALISIS PENGARUH BIAYA LOGISTIK TERHADAP NILAI DISTRIBUSI IKAN KONSUMSI
The purpose of this study is to analyze the influence of logistic cost toward distribution value of consumption fish of Pelabuhan Perikanan Nusantara Ambon. This study used secondary data in the form of time series data from January 2016 to December 2020. Data analysis method usedin this research is multiple linear regression equipped with a descriptive analysis, a classic assumption test and hypothesis testing. The classic assumption test shows that there is no problem with the variable being tested. The F-Test shows that logistic cost simultaneously and significantly influence distribution value of consumption fish. The T- test shows that logistic cost have a negative and significant effect toward distribution value of consumption fish. Based on the coefficient of determination, the logistic cost have an effect of 49.2% on the distribution value of consumption fish of Pelabuhan Perikanan Nusantara Ambon while the remaining 50.8% is influenced by other variables outside this study. Keywords: logistics costs, distribution value of consumption fis
PENGUNGKAPAN LAPORAN KEUANGAN KONSOLIDASI BERDASARKAN PSAK 4 (REVISI 2009) PADA PT BCA
This research aims to determine the requirements for disclosing consolidated financial statements based on PSAK 4 (Revised 2009) at PT. Bank Central Asia Tbk. The methods used in this research are descriptive analysis. The secondary data consists of the Consolidated Financial Statements of PT. Bank Central Asia Tbk as of December 31, 2021, and 2022. The results of the research indicate that: (1) the consolidated statement of financial position; (2) the consolidated statement of comprehensive income; (3) the consolidated statement of changes in equity; and (4) the consolidated statement of cash flows of PT. Bank Central Asia Tbk and its Subsidiaries are in accordance with PSAK 4 (Revised 2009). The Parent Entity, in consolidating the financial statements of its Shariah-based subsidiaries, refers to Shariah PSAK and the Guidelines for Shariah Banking Accounting in Indonesia (PAPSI). The hypothesis in this research is accepted.
Kata kunci: PSAK 4, Consolidated Financial Reports
Pengolahan Limbah Kotoran Sapi Menjadi Pupuk Organik di Desa Kuwurejo Kecamatan Bluluk, Kabupaten Lamongan
This community service activity was carried out in the Bluluk sub-district, precisely in the Kuwurejo village, Bluluk sub-district. This activity aims to provide an understanding to the Kuwurejo village community about the utilization of cow dung waste by processing it into Bokashi organic fertilizer. The method used in this activity uses a material presentation approach and direct practice of making organic fertilizer from cow dung. The results of the training on making bokashi or organic fertilizers that have been carried out can be concluded that the activities went smoothly according to plan. In addition, the enthusiasm of the community is quite high, it can be seen during the training activities for making organic fertilizers, almost 70% of the participants filled the training venue.Kegiatan pengabdian masyarakat ini dilakukan di kecamatan Bluluk tepatnya di desa Kuwurejo kecamatan Bluluk.yang man kegiatan ini bertujuan untuk memberikan pemahaman kepada masyarakat desa Kuwurejo tentang pemanfaatan limbah kotoran sapi dengan cara mengolahnya menjadi pupuk organik Bokashi. Metode yang digunakan dalam kegiatan ini menggunakan pendekatan penyajian materi dan praktek langsung pembuatan pupuk organik dari kotoran sapi. Hasil dari pelatihan pembuatan bokashi atau pupuk organik yang telah dilakukan dapat disimpulkan bahwa kegiatan berjalan lancar sesuai rencana. Selain itu, antusiasme masyarakat cukup tinggi, terlihat saat kegiatan pelatihan pembuatan pupuk organik, hampir 70% peserta memenuhi tempat pelatihan
Klasifikasi Penyakit Daun Pada Tanaman Jagung Menggunakan Algoritma Support Vector Machine, K-Nearest Neighbors dan Multilayer Perceptron
Corn is one of the substitute staple foods in Indonesia after rice. Maize crops grown in Indonesia often experience considerable losses due to maize plant diseases. Generally, plant diseases are initially caused by morphological changes in the leaves. Accurate detection and classification of diseases that appear on the leaves will prevent the widespread spread of the disease. This study will compare classification algorithms, namely Support Vector Machine, K-Nearest Neighbors, and Multilayer Perceptron to find the best algorithm in the classification of leaf disease in corn plants, namely, cercospora leaf spot gray, common rust, and northern leaf blight using the VGG-16 deep learning model used as image feature extraction. The results showed that the Multilayer Perceptron algorithm produced the best values with accuracy, precision, and recall of 97.4% each
Sistem Pendukung Keputusan PPDB di SMAN Unggul Dharmasraya
Acceptance of New Students is the initial process in educational institutions to screen prospective students who meet the criteria set by the school. SMAN Unggul Dharmasraya screens prospective students through report cards and written tests. In terms of enthusiasts, this school is classified as a school that has a lot of enthusiasts because it is facilitated by boarding.Therefore, each committee selection process has difficulty in determining prospective students who will be accepted according to the criteria. From these problems the idea emerged to conduct research on the application of decision support systems in accepting new students using the Simple Additive Weighting method. This method is known as the weighted sum method, because the basic concept of SAW is to find the weighted sum of the performance ratings for each alternative on all attributes so that this method can assist in the ranking process based on the results of the assessment of predetermined criteria. The rating of each attribute must be dimension-free in the sense that it has passed the previous matrix normalization process. The purpose of this research was to assist the admissions committee for new students in making decisions to determine prospective new students according to predetermined criteria and weights. The system development model used is the waterfall model, because this model uses a systematic and sequential approach. The results of this study are a decision support system using the Simple Additive Weighting method from calculating the prevalence value, there are several alternatives that can be recommendations for the committee to get prospective students who meet the criteria determined by the school
Praktik Efektifitas Dan Efisiensi Dana Desa Untuk Pembangunan Desa Allang Kab. Maluku Tengah
This study aims to determine the level of effectiveness and efficiency of village fund allocations in improving Allang village development. The tool used in this study uses the ratio of effectiveness and efficiency ratio. The results of this study indicate that the average level of effectiveness in Alang village of 91.57% is included in the effective category, but if you look at the use of village fund allocations in 2018 it is categorized as quite effective with a ratio of 79.23% due to a smaller income budget factor. of revenue realization. The level of efficiency tends to appear less efficient due to the spending relation factor being smaller than the revenue realization.
Keywords: effectiveness, efficiency, fun
Penentuan Jalur Diagnostik Penyakit Berbasis Konsep Pembelajaran Mesin: Studi kasus Penyakit Hepatitis C
Hepatitis is considered to be one of the most dangerous diseases, which often leads to death if not handled properly. Thus, early detection via precise diagnosis is needed in order to prevent the unfortunate event. This research aims to provide a novel hepatitis C diagnosis based on the machine learning algorithm, which is the classification tree from the decision tree learning and the distance correlation, which measures the Euclidean distance between 2 vectors. In particular, the goal is to develop a low computational cost yet precise algorithm for diagnosing the possibility of whether a person is being infected with Hepatitis C or not. Based on the experiment, the distance correlation-based classification tree algorithm outperforms the classical classification tree algorithm by around 3% while using only 7 features instead of 12 as in the classical algorithm. Furthermore, the algorithm identified albumin (ALB), Creatinine (CREA), Bilirubin (BIL), Aspartate Transaminase (AST) and Cholesterol (CHOL) as significant risk factors in determining whether someone is potentially infected with hepatitis C or not, with Creatinine is identified as the most important parameter among all 5 parameters mentioned above
Implementasi Model TAM pada Sistem Informasi Presensi Online Menggunakan Face Recognition dan GPS
This study aims to analyze system user acceptance of online attendance information systems with face recognition and GPS using the variables Perceived Ease of Use, Perceived Usefulness and Attitude toward Using contained in the TAM model. (Technology Acceptance Model). Respondents used as many as 45 people consist of teachers, teaching staff and students. Questionnaires were used to obtain data that had been tested for validity and reliability which were then analyzed using multiple linear regression techniques. The results of the analysis of the 1st regression equation show that the variable Perceived Usefullness (X1) has a significant influence on the variable Attitude toward Using (Y) with a t count of 4.114 with a significance of p = 0.000 (<0.05). The variable Perceived Ease of Use (X2) has a significant effect on the variable Attitude Toward Using (Y) with t count 2.898 with a significant p = 0.010 (<0.05). The results of the analysis of the second regression equation show that the variables X1 and X2 together have a significant effect on Attitude toward Using (Y) because the statistical value F count = 23.556 with a significance p = 0.000 (<0.05)