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Analisis Usahatani Nanas Madu di Desa Sukajadi Kecamatan Kuala Cenaku Kabupaten Indragiri Hulu Yuslizar; Khairudin; Khairizal
Jurnal Indragiri Penelitian Multidisiplin Vol. 5 No. 2 (2025): Jurnal Indragiri Penelitian Multidisiplin
Publisher : Indra Institute Research & Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58707/jipm.v5i2.1206

Abstract

This study aims to analyze the cultivation techniques, farmer profiles, costs, production, and income of Honey Pineapple farmers using a survey method. The location was chosen purposively, and samples were collected using a simple random sampling technique. The results showed that Honey Pineapple cultivation techniques include seed preparation, planting land preparation, planting, maintenance (replanting, weeding, fertilization), harvesting, and post-harvest. In general, the farmers are aged 15-54 years (80%), have more than 5-7 years of farming experience (80%), have an education level of >6 ≤ 9 years (70%), and have 3-4 family dependents (50%). The average fixed cost is Rp. 530,719 per Cultivated area per year, the variable cost is Rp. 25,356,000 per Cultivated area per year, so the total cost is Rp. 25,886,719 per Cultivated area per year. The average production produced by farmers is 4,810.56 kg per Cultivated area per year and has increased to 6,013.2 kg per Cultivated area per year. In the first year, gross income was Rp. 24,052,800 per Cultivated area per year, net income was -Rp. 1,833,919 per Cultivated area per year, and family income was Rp. 5,000,550 per Cultivated area per year with an RCR of 0.92. In the second year, gross income became Rp. 30,066,000 per Cultivated area per year, net income was Rp. 24,071,281 per Cultivated area per year, and family income was Rp. 28,133,750 per Cultivated area per year with an average RCR of 5.40.
Analisis Tax Compliance  Behavior Pendekatan Theory Of Planned Behavior Manullang, Mega Utami; Khairudin
El-Mal: Jurnal Kajian Ekonomi & Bisnis Islam Vol. 5 No. 4 (2024): El-Mal: Jurnal Kajian Ekonomi & Bisnis Islam
Publisher : Intitut Agama Islam Nasional Laa Roiba Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47467/elmal.v5i4.815

Abstract

Tax administration in Indonesia is developing progressively with changes in organizational systems, work facilities and infrastructure, regulations and tax administration apparatus that have donated to state revenues. The research is aimed at demonstrating in reality the existence of tax compliance behavior. Based on the theory of planned behavior. In this study, four independent variables were tested, namely taxpayer behavior, subjective procedures, tax payer behavior control, and tax payer moral obligations. The population in this study is the Bandar Lampung Pratama Tax Service workplace with 100 respondents in the survey. Multiple linear regression is used as the method of analysis. There will be research showing that behavior must be taxed and moral obligation must be taxed is influenced by the intention to comply with the tax. Meanwhile, subjective norms and attitude control for tax compliance have no effect on tax compliance behavioral intentions. Keywords: Attitude of the Taxpayer, Subjective Norms, Taxpayer Behavior Control, Taxpayer's Moral Obligations, on Intentions of Tax Compliance Behavior.
Analisa Sistem Pakar Diagnosa Penyakit Influenza (Flu) Pada Orang Dewasa Dengan Metode Forward Chaining Khairudin; Noviantara, Andhika; Aji Budiman, Luzen; Apriyanti, Wiwi; Rosyani, Perani
BINER : Jurnal Ilmu Komputer, Teknik dan Multimedia Vol. 1 No. 2 (2023): BINER : Jurnal Ilmu Komputer, Teknik dan Multimedia
Publisher : CV. Shofanah Media Berkah

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Expert system is a technology that is widely used in the health sector, one of which is for disease diagnosis. Influenza (Flu) is one of the respiratory diseases caused by a virus called the influenza virus. Diseases caused by climate change are usually Influenza (Flu) and cold diseases, which are often considered the same by society. The purpose of this study was to design an expert system application for the diagnosis of these two different diseases, namely flu and colds. The research data is sourced from data from the Ministry of Health of the Republic of Indonesia (KEMENKES). The design of this expert system application uses the Forward Chaining method with google appsheet and google sheet tools. The results showed that all the features of the application have worked properly after being tested using the black box testing method. This application also helps people be able to distinguish flu and cold diseases, it is shown through the results of an online survey that 91% of respondents need this expert system application.
Analisa Dampak Kenaikan Setting Tegangan di GI Tarahan Terhadap Performa Sistem 20kV PT. Bukit Asam Tbk Gusmedi, Herri; Khairudin
Electrician : Jurnal Rekayasa dan Teknologi Elektro Vol. 14 No. 2 (2020)
Publisher : Department of Electrical Engineering, Faculty of Engineering, Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/elc.v14n2.2152

Abstract

Prediksi Beban Listrik Jangka Pendek dengan Metode Arimax dan Artificial Neural Network Backpropagation di Gardu Induk Metro Huda, Zulmiftah; khairudin; Lukmanul Hakim; Riyanto, Dwi Agus
Electrician : Jurnal Rekayasa dan Teknologi Elektro Vol. 16 No. 3 (2022)
Publisher : Department of Electrical Engineering, Faculty of Engineering, Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/elc.v16n3.2318

Abstract

Kebutuhan listrik yang selalu meningkat baik domestik, komersil maupun industri membutuhkan pelayanan yang baik dan berkualitas, peningkatan kebutuhan listrik banyak dipengaruhi oleh meningkatnya populasi penduduk, perkembangan sektor industri dan pola hidup masyarakat. Perubahan temperature udara panas juga mempengaruhi pola masyarakat untuk menggunakan Air Conditioner (AC) sebagai alat pendingin ruangan. Kebutuhan listrik tersebut harus didukung dengan prediksi beban yang tepat dan penjadwalan pembangkitan yang sesuai dengan kebutuhan. Penelitian ini melakukan prediksi beban listrik jangka pendek menggunakan metode Autoregressive Integrated Moving Average with Exogenous Variable (ARIMAX) di Gardu Induk Metro. Data yang digunakan berupa data historikal beban listrik dan temperatur udara selama periode 6 bulan dan 2 tahun untuk mendapatkan hasil prediksi pada satu minggu terahir. Berdasarkan hasil yang diperoleh bahwa prediksi beban listrik jangka pendek menggunakan metode ARIMAX data historis selama 2 tahun menghasilkan nilai Mean Absolute Percentage Error (MAPE) sebesar 7,5 persen, hasil lebih baik dibandingkan hasil prediksi dengan data historis 6 bulan yang menghasilkan MAPE sebesar 13,6 persen.
Klasifikasi Citra Medis Penyakit Pneumonia dengan Metode Convotional Neural Network Khairudin; Bobi Agustian; Nursakinah, Badriah
Bulletin of Computer Science Research Vol. 5 No. 4 (2025): June 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bulletincsr.v5i4.576

Abstract

Pneumonia is a pulmonary infection that remains one of the leading causes of death among children under five, especially in developing countries. Early detection and rapid diagnosis are critical in managing this disease, particularly in regions with limited access to medical professionals. This study aims to develop an automatic classification system for pediatric chest X-ray images using the Convolutional Neural Network (CNN) method to detect pneumonia. The dataset used consists of 5,863 pediatric chest X-ray images categorized into two classes: Pneumonia and Normal. The images underwent preprocessing stages including resizing, normalization, augmentation, and noise removal. The CNN architecture includes stacked convolutional layers, max pooling, dropout, and a fully connected layer with sigmoid activation. The model was trained using 80% of the data for training, 10% for validation, and 10% for testing. Performance was evaluated using accuracy, precision, recall, and F1-score metrics. Evaluation results showed that the model achieved over 93% accuracy, with 92.5% precision, 94.2% recall, and an F1-score of 93.3%. Transfer learning using pretrained models (VGG16 and ResNet50) further improved performance. These findings demonstrate that CNN is an effective tool for medical image classification and has strong potential to support fast and accurate pneumonia diagnosis, especially in resource-limited healthcare settings.
FINANCIAL STATEMENT INTEGRITY: THE ROLE OF AUDIT TENURE, KAP SIZE, AND AUDIT FEE Vivian Susanto; Khairudin
International Journal of Accounting, Management, Economics and Social Sciences (IJAMESC) Vol. 2 No. 1 (2024): February
Publisher : ZILLZELL MEDIA PRIMA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61990/ijamesc.v2i1.182

Abstract

This study aims to determine and analyze the impact of audit tenure, the size of KAP, and audit fees. The purpose of this study is to disseminate knowledge and information about factors that affect the integrity of financial statements of building construction companies in Indonesia. The object of this study is a building construction sub-sector company listed on the Indonesia Stock Exchange during the period 2020 – 2022. The entire quantitative research sample amounted to 33 companies. Purposive sampling is used in the sampling procedure. The test was conducted using multiple regression analysis, where the integrity of financial statements is measured using accounting conservatism. The results of this study show that tenure audits and audit fees have a negative and significant effect on the integrity of financial statements and the size of public accounting has a positive and significant effect on the integrity of financial statements. It is expected that with this research, all parties (management, shareholders, and auditors) must be highly committed to realizing the improvement of financial statement integrity. The limitation of this study is the low adjusted R square value of 0.271, which indicates that the independent variable is only able to explain 27.1% of the variation of the dependent variable, as well as the lack of research samples. Then the suggestion for future research is to add research samples and other variables such as (1) company size; (2) leverage; (3) profitability; (4) financial distress that can explain the effect on the integrity of financial statements.
STRATEGY INCREASES SHARE PRICES IN TECHNOLOGY SECTOR COMPANIES Evina Wijaya; Khairudin
International Journal of Accounting, Management, Economics and Social Sciences (IJAMESC) Vol. 2 No. 1 (2024): February
Publisher : ZILLZELL MEDIA PRIMA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61990/ijamesc.v2i1.184

Abstract

The offer of shares is used by market participants to calculate the stock price, which is the price of a share in the capital market at a certain time. The technology sector saw a decline of almost half by 42.61% in one year in 2022, a phenomenon that caught the author's attention in reviewing the financial performance of the industry. This research uses Return on Equity, Current Ratio, Debt to Asset, and Earnings Per Share as a measure of stock price to determine the impact on financial performance. This research uses a quantitative approach utilizing secondary data in 2020–2022 and purposive sampling to obtain sample data. The findings of this research are: (1) profitability has a negative and insignificant effect on stock prices; (2) liquidity has a negative and insignificant effect on stock prices; (3) solvency has a positive and significant effect on stock prices; (4) Market value has a positive and significant effect on stock prices. The suggestion in this research is for all parties (management, investors, potential investors) to pay more attention to profitability and liquidity to be able to predict the value of a company and the next researcher, to add samples and other variables such as ROA, DER and PER, which are able to explain the effect of financial performance on stock prices.
Analisis Tax Compliance  Behavior Pendekatan Theory Of Planned Behavior Manullang, Mega Utami; Khairudin
El-Mal: Jurnal Kajian Ekonomi & Bisnis Islam Vol. 5 No. 4 (2024): El-Mal: Jurnal Kajian Ekonomi & Bisnis Islam
Publisher : Intitut Agama Islam Nasional Laa Roiba Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47467/elmal.v5i4.815

Abstract

Tax administration in Indonesia is developing progressively with changes in organizational systems, work facilities and infrastructure, regulations and tax administration apparatus that have donated to state revenues. The research is aimed at demonstrating in reality the existence of tax compliance behavior. Based on the theory of planned behavior. In this study, four independent variables were tested, namely taxpayer behavior, subjective procedures, tax payer behavior control, and tax payer moral obligations. The population in this study is the Bandar Lampung Pratama Tax Service workplace with 100 respondents in the survey. Multiple linear regression is used as the method of analysis. There will be research showing that behavior must be taxed and moral obligation must be taxed is influenced by the intention to comply with the tax. Meanwhile, subjective norms and attitude control for tax compliance have no effect on tax compliance behavioral intentions. Keywords: Attitude of the Taxpayer, Subjective Norms, Taxpayer Behavior Control, Taxpayer's Moral Obligations, on Intentions of Tax Compliance Behavior.
VALIDITAS PERANGKAT PEMBELAJARAN KONSEP INTEGRAL BERBASIS SPACE UNTUK MENINGKATKAN KEMAMPUAN PEMECAHAN MASALAH Khairudin; Karmila Suryani; Puspa Amelia; Rita Desfitri; Niniwati
Aksioma Vol. 11 No. 2 (2022): AKSIOMA : Jurnal Pendidikan Matematika FKIP Universitas Tadulako
Publisher : Universitas Tadulako

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22487/aksioma.v11i2.2454

Abstract

kemampuan problem solving masih rendah, khususnya pada mata kuliah Kalkulus Integral maka dibutuhkan perangkat pembelajaran yang mampu mengaktifkan mahasiswa untuk bertanya dan menyelesaikan masalah dengan baik. Tujuan riset ini adalah menganalisis validitas ahli perangkat pembelajaran konsep Integral berbasis SPACE (Simulation, Posing, Action, Communication, Evaluation) yang dapat meningkatkan kemampuan Problem Solving pada mata kuliah Kalkulus Integral. Metoda riset adalah metoda deskriptif kualitatif dengan menggunakan Aitken-V untuk memvalidasi perangkat oleh expert. Hasil penelitian pendahuluan terhadap perangkat peembelajaran menyatakan bahwa dibutuhkan perangkat pembelajaran yang dapat membuat mahasiswa aktif untuk melakukan simulasi komputer, aktif bertanya serta membuat dapat meningkatkan kemampuan pemecahan masalah mahasiswa. Hasil penelitian berdasarkan hasil validasi ahli, diperoleh perangkat pembelajaran konsep Integral berbasis SPACE memiliki kriteria sangat valit. Hal ini dapat dilihat dari kriteria validitas nilai V-Aitken berada di atas nilai 0,4. Kesimpulannya adalah setiap aspek dalam perangkat pembelajaran berada dalam kriteria yang valid, sehingga semua perangkat tersebut dapat digunakan untuk pembelajaran Kalkulus Integral.
Co-Authors Adi Priyatna Adi Wijaya Adriansyah Afianti nur, Andi Agus Purnomo Agustuti Handayani Ahmad Wira Satriawan Aji Budiman, Luzen Aldo Ciptawan Pebrianda Alfandi Wicaksono AMINAH Andrian, Jessica Avelina Annisa Zauhar Nafisah Anugrah, Erwin C Apriyani, Dona Apriyanti, Wiwi Awalul Khair Azharuddin M Azharuddin M. Amin Badriah Nursakinah Bobi Agustian Bonar Habib Purba Celia Fitriani Christian Lucky Thunggono Christiyandi, Dwitya Rizky Diah Permata Dikpride Despa Dwi Agus Riyanto Erlina B. Ernawati Evina Wijaya Fandi Prayoga Fanika Fernanda, Imam Ghozali Habib Nurfaizal Hafas Furqani Hakim, Lukmanul Haninun Hasanudin Heri Gusmedi Herri Gusmedi Huda, Zulmiftah I Ketut Tangkas Susiladarma ILMA SATRIANA DEWI Indrayenti Ismatullah Karmila Suryani Kesuma, Danesa Pramesya Khairizal Kristianti, Deviliana Luke Suciyati Amna Lukmanul Hakim Lukmanul Hakim Luthfiyah M. Ardiansyah M.Fawwaz Rizaldy Manullang, Mega Utami Masita Muhamad Rico Ananda, Khairizal MUHAMMAD ARIFIN Muhammad Syahrial Ni Putu Andini Saraswati Nining Purwasih Niniwati Noer Soedjarwanto Noviantara, Andhika Nur Kholik Afandi Nurdiawansyah Nurdinawati Ocazy Harun Osea Zebua Osea Zebua Perani Rosyani Puspa Amelia Ratna Mulyany Rita Desfitri Riyanto, Dwi Agus Ruslan Septuri Setiawan, Egi Sindi Sintia Syahru Ramadhan Syamsuri, Sholeh Syidiq, M. Al Rasyid Syidiq, Muhammad Al Rasyid Ubaidah USWATUN HASANAH Vivian Susanto Wahyudi Zikri Wardan, Khusnul Yanu Yanuarius Darmawan Yogi Jentrapolta Siregar Yuslizar Zelfia Irfina