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Showing 2576 articles found for "Ring"

The Effect of Investment and Minimum Wages on Labor Absorption For Small Industry in Gowa District

Mita, Sabir, Fitrianti, Retno
Abstract: The Effect of Investment and Minimum Wage on Employment of Small Industry in Gowa Regency. This study aims to determine the effect of investment and minimum wages on the absorption of small industrial workers in Gowa Regency… ency in the 2016-2020 period. The type of research used in this study is descriptive quantitative. The data used is secondary data obtained in ready-made form from the Department of Industry and Trade (DISPERINDAG) and the Department of Manpower and Transmigration (DISNAKERTRANS) during 2016-2020. The data analysis technique in this study is multiple regression analysis using SPSS. Based on the results of multiple regression analysis, it can be concluded that investment has a positive and significant effect on employment in the industrial sector and the minimum wage has a positive and insignificant effect on employment.

The Impact of Covid-19 on The Profitability of Manufacturing Companies Listed on The Indonesia Stock Exchange (IDX)

Adri, Mutia Tasyah, Kurniawan, Agung Widhi, Anwar, Ramli, Anwar, Nurman
Abstract: This study aims to determine the impact of COVID-19 on the profitability of manufacturing companies listed on the Indonesia Stock Exchange. This sample was taken from manufacturing companies listed on the Indonesia Stock… Exchange (IDX) which can be accessed via the website (www.idx.co.id), the research sample was selected using the purposive sampling method of 22 manufacturing companies listed on the Indonesian stock exchange for the 2019-2021 period. The type of data used in this research is quantitative data obtained from financial reports that have been audited and published by manufacturing companies listed on the 2019-2021 Indonesian Stock Exchange. Data collection is done by using Documentation technique. In this research, the data source used is secondary data. The analytical methods used in this study include: Using Descriptive Statistical Tests and Difference Tests (Paired Sample T-Test) The results of this study indicate that it is concluded that the COVID-19 pandemic has had a significant impact on the profitability of manufacturing companies listed on the Indonesia Stock Exchange. NPM, ROA, and ROE underwent significant changes after the pandemic, indicating a decrease or increase in the financial performance of these companies. These results indicate the need for companies to adapt their business strategy and financial management to face the challenges posed by the COVID-19 pandemic in order to ensure the continuity and profitability of the company in the future.

Analysis of Stock Portfolio Performance Using The Jensen Method

Musa, Chalid Imran, Anwar
Abstract: Measuring portfolio performance cannot only be seen from the returns, but also must pay attention to the risks that investors will bear. Measuring the performance of a stock portfolio can be facilitated by using a proxy,… namely LQ 45 shares, which are liquid stocks with high market capitalization, have high trading frequency, have good growth prospects and financial conditions, are not volatile and have been objectively selected by the IDX and are stocks. which is safe to own because the fundamental performance of these stocks is good, so that from a risk perspective the LQ 45 stock group has the lowest risk compared to other stocks. The research objective was to determine portfolio performance assessment using the Jensen method, a case study of the LQ45 index on the Indonesian stock exchange for the 2019-2022 period. The population in this study is LQ45 index shares on the Indonesian stock exchange for the 2019-2022 period based on a purposive sampling technique. Data collection is documentation and literature study. The data analysis that will be used in this study is by using the Microsoft Excel 2010 application program to form an optimal portfolio using the Single index model and to assess the performance of a stock portfolio using the Jensen index method. the results of portfolio performance analysis of Jensen's Alpha LQ45 index optimal stocks and obtaining an average RVOR value of 0.0207 or 2.07%.

The Influence of Federal Funds Rate Volatility Before and During The Covid-19 Pandemic on Economic Stability in Asean Countries

Sidha Belanandra Radise, Etty Soesilowati, Agung Haryono
Abstract: The purpose of this study is to analyze the effect of the Federal Funds Rate before and during the Covid-19 pandemic on economic stability in five developing countries in the Southeast Asian region which are members of an… n economic and geopolitical organization, namely the Association of Southeast Nations (ASEAN) to see short-term relationships. and long-term during that period. The indicators of economic stability used are the benchmark interest rate for deposits, the reference interest rate for loans, the balance of payments which includes exports and imports, inflation, exchange rates, and the money supply. In this study, the method used was the quantitative method and the data obtained was secondary data sourced from International Financial Statistics (IFS) from January 2015 to December 2022 which used the Vector Error Correction Model (VECM) approach in the Eviews 9 application. The results found indicated that in the long run, the existence of FFR volatility has a positive effect on the Deposit and Export Reference Rates. While those that have a negative effect are Loan Reference Rates, Imports, Exchange Rate Inflation, and Money Supply. In the short term, the existence of the FFR interest rate has a positive effect on the Reference Rates for Deposits, Imports, and Inflation. While those that have a negative effect are Loan Reference Rates, Exports, Exchange Rates, and Money Supply

Analysis of Financial Distress of Cigarette Sub Sector Companies Listed on the Indonesia Stock Exchange Period 2017-2021

Muhammad Imaduddin As'ad, Agung Widhi Kurniawan, Anwar, Anwar Ramli, Andi Mustika Amin
Abstract: This study aims to determine the potential for bankruptcy experienced by industrial companies in the cigarette sub-sector in 2017-2021. This type of research uses descriptive quantitative with a population of issuers in… the cigarette sub-sector during 2017-2021. Sampling using purposive sampling method to get 4 companies. Data collection was carried out using documentation techniques. Data analysis techniques using the First Altman Z-Score. The results showed that in the last five years the potential for bankruptcy in cigarette sub-sector companies was low because there was only one company that had the potential to go bankrupt, namely PT. Bentoel Internasional Investama Tbk. The company is in a vulnerable precautionary zone for bankruptcy during 2018-2019 and there are indications that the company is experiencing financial difficulties in 2020. The company PT. Gudang Garam Tbk, PT. Hanjaya Mandala Sampoerna, PT. Wismilak Inti Makmur Tbk, has no potential for bankruptcy.

Use of the Single Index Model in Determining Investment Decisions During the Covid-19 Pandemic

Anwar, Amiruddin Tawe
Abstract: This study aims to determine stock investment decisions during the COVID-19 pandemic using a single index model. The population in this study is all the shares of companies that are included in the IDX30 market index on… the Indonesia Stock Exchange for the 2020-2021 period, namely 40 stocks, while the sample is 39 stocks selected based on purposive sampling technique. Data collection using documentation techniques. Data analysis was carried out using a single index model, starting with collecting the closing stock prices of each to get the optimal portfolio. The results of this study indicate that there are 29 stocks included in the optimal portfolio during the COVID-19 pandemic, namely (ADRO), (ANTM), (ASII), (BBCA), (BBNI), (BBRI), (BBTN), ( BMRI), (BRPT), (BTPS), (CPIN), (ERAA), (EXCL), (INCO), (INKP), (JPFA), (KLBF), (MIKA), (PGAS), (PTPP) , (PWON), (TBIG), (TINS), (TKIM), (TLKM), (TOWR), (UNTR), and (WSKT).

Pengaruh Pemanfaatan AI Sebagai Tutor Virtual Terhadap Self-Efficacy Mahasiswa Pada Mata Kuliah Analisis Real

Amanda Chantika Sari Br Purba, Eliza Dwi Ananda, Yovi Dwi Ramadhani, Yurinda Vilga Al Hafizah, Elfira Rahmadani
Abstract: Perkembangan pesat teknologi Artificial Intelligence (AI) telah mengubah lanskap pendidikan tinggi secara signifikan, terutama dengan hadirnya tutor virtual berbasis AI yang mampu memberikan umpan balik cepat, tepat, dan&#8230; personal. Analisis Real merupakan salah satu mata kuliah yang paling menantang dalam program pendidikan matematika karena sifat abstraknya sering menyebabkan rendahnya self-efficacy mahasiswa. Penelitian ini bertujuan menganalisis pengaruh pemanfaatan AI sebagai tutor virtual terhadap self-efficacy mahasiswa Pendidikan Matematika Universitas Asahan yang menempuh mata kuliah Analisis Real. Penelitian menggunakan pendekatan kuantitatif dengan desain quasi-experimental one-group pretest-posttest, melibatkan 15 mahasiswa yang dipilih melalui purposive sampling. Instrumen angket self-efficacy dikembangkan berdasarkan tiga dimensi Bandura (magnitude, strength, generality), divalidasi melalui expert judgment dengan Cronbach’s Alpha sebesar 0,84. Hasil analisis deskriptif menunjukkan peningkatan rata-rata skor self-efficacy dari 65,67 (pre-test, kategori sedang) menjadi 79,93 (post-test, kategori tinggi), dengan peningkatan sebesar 21,7%. Uji Wilcoxon Signed-Rank Test menghasilkan nilai Z = −3,408 dengan p-value = 0,001 (p < 0,05), yang mengkonfirmasi terdapat perbedaan signifikan self-efficacy mahasiswa sebelum dan sesudah intervensi enam minggu menggunakan AI tutor virtual. The rapid development of Artificial Intelligence (AI) technology has significantly transformed higher education, particularly through AI-based virtual tutors capable of providing fast, precise, and personalized feedback. Real Analysis, one of the most challenging mathematics education courses, frequently causes low self-efficacy among students due to its abstract nature and demands for formal proof-writing. This study examines the effect of utilizing AI as a virtual tutor on self-efficacy of mathematics education students at Universitas Asahan. A quantitative quasi-experimental one-group pretest-posttest design was employed with 15 students selected via purposive sampling. The self-efficacy questionnaire was based on Bandura’s three dimensions: magnitude, strength, and generality, validated by expert judgment with Cronbach’s Alpha coefficient of 0.84. Descriptive analysis results showed an increase in mean self-efficacy scores from 65.67 (pre-test, moderate category) to 79.93 (post-test, high category), representing a 21.7% improvement. The Wilcoxon Signed-Rank Test yielded Z = −3.408 with p-value = 0.001 (p < 0.05), confirming a significant difference in student self-efficacy before and after the six-week AI virtual tutor intervention.

Perancangan Sistem Pendaftaran Sengketa Informasi Berbasis Website Pada Komisi Informasi Di Dinas Komunikasi Dan Informatika Provinsi Jambi

Fatima Felawati, Serly Dea Alsena, Padilatul Laili, Khairun Najwa, Dinda Fitrah Noviza
Abstract: Komisi Informasi Provinsi Jambi masih menggunakan proses pendaftaran sengketa informasi publik secara manual sehingga menyebabkan keterlambatan pelayanan, risiko kehilangan berkas, dan kesulitan dalam pengelolaan data. Penelitian&#8230; enelitian ini bertujuan merancang Sistem Informasi Pendaftaran Sengketa Informasi Berbasis Website untuk mempermudah masyarakat dalam mengajukan permohonan sengketa secara daring. Metode pengembangan yang digunakan adalah Waterfall yang meliputi analisis kebutuhan, perancangan, implementasi, dan pengujian. Sistem dirancang menggunakan PHP, MySQL, dan pemodelan UML. Hasil penelitian menunjukkan bahwa sistem mampu mempermudah proses pendaftaran, pengelolaan data, serta pemantauan status permohonan secara lebih efektif dan efisien. The Information Commission of Jambi Province still uses a manual public information dispute registration process, resulting in service delays, risk of document loss, and difficulties in data management. This study aims to design a web-based information dispute registration system to facilitate online application submissions. The system was developed using the Waterfall method, which includes requirements analysis, design, implementation, and testing stages. The application was designed using PHP, MySQL, and UML modeling. The results show that the system simplifies the registration process, data management, and application status monitoring more effectively and efficiently.

Sistem Penghitungan Jumlah Kendaraan Pada Area Parkir Menggunakan Background Subtraction Dan OpenCV

Nando Juliansyah, Wendi Saputra, Febri Dristyan
Abstract: Masalah pengelolaan parkir di Politeknik Jambi sering menyebabkan ketidakefisienan akibat sistem penghitungan manual yang rentan human error. Penelitian ini bertujuan merancang sistem penghitungan kendaraan otomatis berbasis&#8230; asis pengolahan citra digital. Metode yang digunakan adalah Background Subtraction dengan algoritma MOG2 dan OpenCV menggunakan video kamera smartphone. Sistem mengintegrasikan proses preprocessing citra, operasi morfologi, dan Euclidean Distance Tracker untuk melacak serta menghitung kendaraan secara real-time. Hasil penelitian menunjukkan sistem mampu membedakan kendaraan yang bergerak dengan objek statis secara akurat melalui Virtual Counting Line. Dengan beban komputasi yang ringan dan biaya rendah, sistem ini efektif menjadi solusi otomatisasi manajemen parkir di lingkungan kampus. Parking management issues at Politeknik Jambi often lead to inefficiencies due to manual counting systems prone to human error. This study aims to design an automatic vehicle counting system based on digital image processing. The method utilizes Background Subtraction with the MOG2 algorithm and OpenCV using smartphone video input. The system integrates image preprocessing, morphological operations, and Euclidean Distance Tracker to track and count vehicles in real-time. The results demonstrate that the system can accurately distinguish between moving vehicles and static objects via a Virtual Counting Line. With low computational requirements and cost-effectiveness, this system offers an efficient automation solution for campus parking management.

Optimalisasi Strategi Promosi Penerimaan Mahasiswa Baru Melalui Analisis Data Historis

Husna Gemasih, Erika Fahmi Ginting, Suci Andryani, Mutiara S. Simanjuntak
Abstract: Promosi penerimaan mahasiswa baru (PMB) merupakan salah satu faktor penting dalam meningkatkan jumlah dan kualitas calon mahasiswa. Namun, strategi promosi yang belum memanfaatkan data historis secara optimal dapat menyebabkan&#8230; babkan kegiatan promosi kurang tepat sasaran. Penelitian ini bertujuan untuk menganalisis data historis PMB sebagai dasar dalam menyusun strategi promosi yang lebih efektif pada Jurusan Teknologi Informasi dan Komputer Politeknik Negeri Lhokseumawe. Penelitian menggunakan pendekatan kuantitatif deskriptif dengan memanfaatkan data sekunder PMB periode 2023–2025. Analisis dilakukan melalui tahapan data cleaning, transformasi data, statistik deskriptif, segmentasi calon mahasiswa, dan visualisasi data menggunakan dashboard analitik. Variabel yang dianalisis meliputi program studi, asal sekolah, jurusan asal sekolah, kecamatan, kabupaten/kota, provinsi, jalur masuk, dan sumber informasi pendaftar. Hasil penelitian menunjukkan bahwa sebagian besar pendaftar berasal dari Provinsi Aceh, khususnya Kabupaten Aceh Utara dan Kota Lhokseumawe, dengan dominasi lulusan jurusan IPA serta peminat terbesar pada Program Studi Teknik Informatika. Instagram dan website menjadi sumber informasi utama bagi calon mahasiswa. Pemanfaatan data historis melalui visualisasi data mampu memberikan informasi yang lebih komprehensif mengenai karakteristik calon mahasiswa sehingga dapat mendukung pengambilan keputusan dalam penyusunan strategi promosi PMB yang lebih terarah, efektif, dan berbasis data. New student admissions (PMB) promotion is an important factor in increasing the number and quality of prospective students. However, promotional strategies that do not optimally utilize historical data can result in less targeted promotional activities. This study aims to analyze historical PMB data as a basis for developing a more effective promotional strategy in the Information and Computer Technology Department of the Lhokseumawe State Polytechnic. The study uses a descriptive quantitative approach utilizing secondary PMB data for the 2023–2025 period. The analysis was carried out through the stages of data cleaning, data transformation, descriptive statistics, prospective student segmentation, and data visualization using an analytical dashboard. The variables analyzed included study program, school of origin, major of origin of school, sub-district, regency/city, province, admission route, and applicant information sources. The results show that most applicants come from Aceh Province, especially North Aceh Regency and Lhokseumawe City, with a predominance of science graduates and the greatest interest in the Informatics Engineering Study Program. Instagram and websites are the main sources of information for prospective students. The use of historical data through data visualization can provide more comprehensive information regarding the characteristics of prospective students so that it can support decision-making in developing more targeted, effective, and data-based PMB promotion strategies.