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Showing 615 articles found for "Quantitative"

APPLICATION OF MULTIPLE LINEAR REGRESSION ESTIMATING THE POPULATION OF ASAHAN REGENCY

Azhara, Tasya, Rahmadani, Nurul, Nata, Andri
Abstract: Abstract: Population is a group of people who live or settle in an area for six months or more. Increasing the population in an area results in more problems being faced by the area such as high unemployment rates, poverty… ty and food shortages which result in hunger. BPS Asahan Regency records that there is an increase in population every year. Asahan Regency BPS cannot predict population growth in the following year, so an application is needed to predict population growth. The purpose of this study is to predict population growth in Asahan Regency in the following year based on previous data using the concept of data mining. By applying data mining using multiple linear regression methods can be used to calculate population growth estimates based on previous data. This quantitative research used population data of Asahan Regency from 2016 to 2022. From the calculation of the multiple linear regression model using data from the previous five years, the estimated population growth of Asahan for 2023 was 824,617 people and the process of estimating the population became more systematic and calculated. well with this population estimation system and the process of storing data becomes easier and does not require a lot of paper to print and save.             Keywords: Application; Data Mining; Multiple Linear Regression     Abstrak: Penduduk merupakan sekumpulan orang yang tinggal atau menetap pada suatu wilayah selama enam bulan atau lebih. Bertambahnya jumlah penduduk pada suatu daerah mengakibatkan semakin banyak pula persoalan yang di hadapi oleh daerah tersebut seperti tingkat pengangguran yang tinggi, kemiskinan dan kekurangan pangan yang mengakibatkan kelaparan. BPS Kabupaten Asahan mencatat terjadi adanya pertambahan penduduk pada setiap tahunnya. BPS Kabupaten Asahan tidak dapat memprediksi pertumbuhan penduduk pada tahun berikutnya sehingga dibutuhkan suatu aplikasi untuk memprediksi pertambahan penduduk tersebut. Tujuan penelitian ini adalah untuk memprediksi pertumbuhan penduduk Kabupaten Asahan pada tahun berikutnya berdasarkan data sebelumnya menggunakan konsep data mining. Dengan menerapkan data mining menggunakan metode regresi linier berganda dapat digunakan untuk menghitung estimasi pertumbuhan penduduk berdasarkan data sebelumnya.  Penelitian yang dilakukan secara kuantitatif ini menggunakan data penduduk Kabupaten Asahan dari tahun 2016 sampai tahun 2022. Dari perhitungan model regresi linier berganda menggunakan data lima tahun sebelumnya didapat estimasi pertumbuhan penduduk Asahan untuk tahun 2023 sebesar 824.617 jiwa dan proses estimasi jumlah penduduk menjadi lebih sistematis dan terkalkulasi dengan baik dengan adanya sistem estimasi jumlah penduduk ini dan proses penyimpanan data menjadi lebih mudah dan tidak memerlukan banyak kertas untuk di cetak dan di simpan.   Kata kunci: Aplikasi; Data Mining; Regresi Linier Berganda

OPERATIONAL RISK ANALYSIS FOR MANPOWER (DRIVER) ON POSTAL NETWORK

Maniah, Maniah, Mulyati, Erna, Hamidin, Dini
Abstract: Abstract: PT. Indonesian logistics posts have cooperation in the postal network field, namely cooperation in sending goods or shipments at a certain time, a certain amount from one point to another in accordance with a warrant… arrant from the partner. Components of the postal network include Manpower, vehicles, postal operational control, and operational costs. This study aims to examine the problems and roots of problems that cause risk potential for the risk of postal network components, especially in the manpower component (driver), and know how high the impact of the risk. The research method used in this study is qualitative and semi-quantitative methods by conducting case studies. Data collection was carried out by interview/FGD, and the distribution of questionnaires. The results showed that the risk of manpower is at high and very high levels. The results of the study will provide recommendations to the manpower component (driver) in the form of risk mitigation and can be used by companies in managing operational risk on postal networks, especially in the manpower component (driver).             Keywords: manpower; operational risk; postal network; risk mitigation.     Abstrak: PT. Pos Logistik Indonesia memiliki kerjasama dalam bidang Jaringan Postal, yaitu kerjasama dalam mengirimkan barang atau kiriman pada waktu tertentu, jumlah tertentu dari satu titik ke titik lain sesuai dengan surat perintah dari mitra. Komponen pada jaringan Postal meliputi: Man Power, Kendaraan, Pengendalian Operasional Postal, dan Biaya Operasional. Penelitian ini bertujuan untuk mengkaji permasalahan dan akar masalah yang menimbulkan potensi kejadian risiko pada komponen Jaringan Postal khususnya pada komponen manpower (driver) dan mengetahui seberapa tinggi dampak risikonya. Metode penelitian yang digunakan dalam penelitian ini adalah metode kualitatif dan semi kuantitatif dengan melakukan studi kasus. Pengumpulan data dilakukan dengan cara wawancara/FGD, dan penyebaran kuesioner. Hasil penelitian menunjukan bahwa risiko pada manpower berada pada level high dan very high. Hasil penelitian akan memberikan rekomendasi terhadap komponen manpower (driver) berupa mitigasi risiko dan dapat digunakan perusahaan dalam pengelolaan risiko operasional pada jaringan Postal khususnya pada komponen manpower (driver).   Kata kunci: jaringan postal; manpower; mitigasi risiko; risiko operasional.  

UTILIZATION OF BOOSTER CIRCUIT JOULE THIEF FOR GARDEN LIGHTING SOURCE OF VOLTAGE FROM THE SUN

Ananda, Ricki, Amin, Muhammad
Abstract: Abstract: Garden lighting from a sun source utilizes a series of joule thieves so that the lighting of the garden lights at night is bright. This research method uses a quantitative method because it must be tested on each&#8230; ch module so that it finds that there are three types of module systems to be combined, the booster or joule electronic thief module, the supply media solar module circuit, and finally, the control system with the Arduino nano board. The solar module used is a 1-watt solar module with 1n4004 diodes, which will convert the heat of sunlight into voltage. The voltage will be sent via the IC TP4056 input, the output from the IC TP4056 will charge the 18650 battery, which aims to ignite the booster circuit on the 12 W lamp, or the 3.7VDC input from the 18650 battery capable of turning on the 12W/220VAC led light. While the controller is connected to the LDR sensor and relay when the user makes the command, LDR > 800 of the provisions, the relay position from NC becomes open, or during the day, the relay will be in the NC position and turn off the 12W light in the booster circuit, while at night the relay will remain in the no position, so that it will connect the booster circuit voltage and turn on the 12W lamp (LDR < 800). Keywords: booster circuit; campus park lighting; solar panels   Abstrak: Penerangan taman dari sumber matahari memanfaatkan rangkaian joule thief agar penerangan lampu taman pada malam hari terang. Metode penelitian ini menggunakan metode kuantitatif dikarenakan harus diuji coba pada tiap modul, sehingga mendapati ada tiga jenis sistem modul yang akan digabungkan, modul elektronika rangkaian booster atau joule thief, rangkaian modul surya media pensuplly, dan terakhir sistem controller dengan board arduino nano. Modul surya yang digunakan modul surya 1 watt dengan dioda 1n4004, akan mengubah panas cahaya matahari menjadi tegangan . Tegangan akan dikirimkan melalui input IC TP4056, output dari IC TP4056 akan mengisi baterai 18650 yang bertujuan sebagai penyala rangkaian booster pada lampu 12 W, atau input 3.7VDC dari baterai 18650 mampu menyalakan lampu led 12W/220VAC. Sementara controller terhubung kesensor ldr dan relay, ketika perintah yang dibuat oleh user, ldr > 800 dari ketentuan, posisi relay dari nc menjadi open, atau siang hari, relay akan diposisi nc dan mematikan lampu 12W pada rangkaian booster, sementara jika malam hari relay akan diposisi no, sehingga akan menghubungkan tegangan rangkaian booster dan menyalakan lampu 12W (ldr < 800).   Kata kunci : panel surya, penerangan taman, rangkaian booster.  

ANALISIS RELEVANSI INFORMATION SYSTEM ARCHITECTURE BERDASARKAN KERANGKA KERJA KUALITAS MODEL ENTERPRISE ARCHITECTURE

Putri, Indah Faradhila, Izzati, Berlian Maulidya, Nur Fajrillah, Asti Amalia
Abstract: Abstract: The development of information technology has grown rapidly and has made information systems important in running an enterprise’s business. Therefore, companies need to increasingly adopt Enterprise Architecture&#8230; itecture (EA). EA is the basis for problems that occur in an enterprise by utilizing technological innovations in meeting the expectations of information system architecture. The design quality of the Information System Architecture model has been recognized as an important factor for the success of EA design in enterprises. In meeting this quality, it is necessary to test the relevance of EA to the needs of the enterprise. This study focuses on testing the relevance of Information System Architecture design using the Enterprise Architecture Quality Framework (EAQF). The quality principle of relevance has derived attributes, which are EA Purpose and Objectives, EA Stakeholders Concerns, Usefulness, Completeness vs. Conciseness, and Level of Detail. Each attribute has an assessment method, whether qualitative, quantitative, or Yes / No. Relevance testing in this study will produce an Information System Architecture model in EA design that meets the quality principle of relevance in the EA quality framework.   Keywords: Enterprise Architecture; Enterprise Architecture Quality Framework; Information System Architecture; Relevance   Abstrak: Perkembangan teknologi informasi telah berkembang pesat dan menjadikan sistem informasi penting dalam menjalankan bisnis suatu perusahaan. Oleh karena itu, perusahaan perlu perusahaan semakin mengadopsi Enterprise Architecture (EA). EA merupakan landasan untuk permasalahan yang terjadi dalam suatu perusahaan dengan memanfaatkan inovasi teknologi dalam memenuhi harapan arsitektur sistem informasi. Kualitas perancangan model Information System Architecture telah diakui sebagai faktor penting untuk kesuksesan perancangan EA di perusahaan. Dalam memenuhi kualitas tersebut, maka diperlukan suatu pengujian relevansi EA terhadap kebutuhan perusahaan. Penelitian ini berfokus pada pengujian relevansi perancangan Information System Architecture menggunakan Enterprise Architecture Quality Framework (EAQF). Prinsip kualitas relevansi memiliki atribut turunan, yaitu berupa EA Purpose and Objectives, EA Stakeholders Concerns, Usefulness, Completeness vs. Conciseness, serta Level of Detail. Setiap atribut memiliki metode penilaian, baik yang bersifat kualitatif, kuantitatif, atau Ya / Tidak. Pengujian relevansi pada penelitian ini akan menghasilkan model Information System Architecture pada perancangan EA yang memenuhi standar prinsip kualitas relevansi pada kerangka kerja kualitas EA.   Kata kunci: Enterprise Architecture; Enterprise Architecture Quality Framework; Information System Architecture; Relevansi

The Effect of Population and Investment on Gross Regional Domestic Product and Unemployment in East Kalimantan Province

Yuli Hardiyanti, Jiuhardi, Juliansyah Roy
Abstract: This study analyzes the effect of population and investment on the Gross Regional Domestic Product (GRDP) and unemployment in East Kalimantan Province during the 2016–2025 period. The research employs a quantitative explanatory&#8230; planatory design using secondary time-series data obtained from Statistics Indonesia (BPS) of East Kalimantan. Path analysis was applied through two structural equations using SPSS 21, complemented by the Sobel test to examine the mediating role of GRDP. The results show that population and investment each have a positive and significant direct effect on GRDP, and jointly explain 97.4% of its variation. GRDP, in turn, has a negative and significant effect on unemployment, accounting for 76.3% of its variation. The Sobel test confirms that GRDP significantly mediates the indirect effects of both population (Z = 2.295) and investment (Z = 2.628) on unemployment. These findings indicate that economic growth, as reflected in GRDP, acts as a strategic transmission channel converting demographic potential and capital accumulation into employment opportunities, thereby reducing unemployment in the region.

The Effect of Algorithmic Performance Appraisal on Employee Trust in Digital and Technology-Based Companies

Rini Anisyahrini, Winne Wardiani, Azizun Kurnia Ilahi, Anita Asnawi, Mochammad Arfani
Abstract: This study examines how employees perceive and trust Algorithmic Performance Appraisal (APA) in digital-native and technology-driven companies. Adopting Organizational Justice Theory, the Trust in Technology Framework, and&#8230; nd Cognitive Appraisal Theory, the research explores both the direct and indirect effects of APA on employee trust, with Perceived Procedural Fairness (PPF) as a mediating variable. The study uses a quantitative, cross-sectional approach, collecting data from 200 employees in technology-based organizations and analyzing the data with Partial Least Squares Structural Equation Modeling (PLS-SEM). Results show that APA significantly enhances both procedural fairness and employee trust, with PPF playing a partial mediating role in this relationship. These findings underscore the importance of transparency, procedural legitimacy, and avenues for employee voice in cultivating trust in algorithmic systems. The study’s theoretical contribution lies in its integration of multiple perspectives on trust and fairness within algorithmic HR management. The practical implication calls for the careful design and implementation of APA systems that employees perceive as fair and trustworthy. Future research should investigate these relationships in longitudinal and multi-contextual settings to deepen the understanding of trust dynamics in evolving AI-mediated work environments.

Principles of Emotions Affecting Learning and Social Learning in Elementary School

Resyi Abdul Gani, Asep Supena
Abstract: This study aims to develop a comprehensive constellation model and identify optimal strategies for strengthening lecturers’ professional commitment in the largest private universities in Bogor. Penelitian ini mengkaji secara&#8230; secara mendalam bagaimana emosi dan belajar sosial memengaruhi proses pembelajaran di sekolah dasar melalui perspektif neuropedagogik dan brain‑based learning. A mixed methods approach was used by combining quantitative analysis (meta-analysis of 173 respondents and 47 indicators of NP, EC, OB, MS, BS) and descriptive qualitative analysis using thematic analysis techniques on semi-structured interviews with five elementary school teachers. The meta-analysis results showed a very strong average effect of the latent construct relationship (t(128) = 12.92; p < 0.001; r ≈ 1.00) with almost zero heterogeneity (Qₑ(128) = 1.67; τ² = 0; I² = 0%), and no significant moderating effects were found for all indicators; the partial meta-regression coefficients for all items were very close to zero and the R² value was 0.000. Qualitatively, three main themes emerged: (1) positive emotions as the foundation of learning readiness, (2) social interaction as a reinforcement of meaning formation, and (3) contextual learning that integrates cognitive, emotional, and social dimensions. Although most teachers have not yet mastered the concepts of neuropedagogy and brain-based learning theoretically, they have intuitively implemented its principles through motivation, praise, humor, group work, collaborative projects, and learning experiences relevant to students' real lives. These findings support the latest theory that places emotions and social interactions as the main drivers of brain function in learning (Immordino Yang, 2016; Tyng et al., 2017; Vygotsky, 1978; Jensen, 2008), and emphasizes the importance of strengthening teachers' competence in understanding and designing brain- and emotion-based learning to support the holistic development of elementary school students.

Implementation of Brain-Based Learning to Reduce Mathematics Anxiety in the Teaching of Fractions at Primary School

Erni Nurjanah, Asep Supena
Abstract: This research examines the application of the Brain-Based Learning (BBL) model to reduce math anxiety in teaching fractions at the elementary school level. This study used a quantitative approach with a pretest–posttest&#8230; t quasi-experimental control group design involving two fifth-grade classes: one experimental class that received fraction instruction through BBL and one control class that was taught using conventional methods, with 40 students in each group. Mathematics anxiety related to fractions was measured using a modified mathematics anxiety scale for elementary school students, while fraction achievement was evaluated through a valid written test. The results showed that both groups had relatively equivalent initial abilities, supported by normal and homogeneous pretest data and no significant differences in pretest scores. After the intervention, the experimental class showed consistently lower levels of anxiety related to fractions in all dimensions (tests/assessments, classroom learning situations, fraction tasks, and fraction avoidance) and significantly higher post-test scores than the control class, with an average difference of about seven points. The findings show that BBL, which aligns the learning process with the way the brain naturally learns by fostering positive emotions, multisensory experiences, and meaningful social interaction, is effective in improving students' understanding of fractions while simultaneously reducing their math anxiety. This study offers a unique perspective by conducting an experimental trial of BBL as a targeted intervention for math anxiety related to fractions in Indonesian elementary schools and highlighting its potential as a neuroeducation-based pedagogical strategy to foster numeracy and emotional well-being in math learning.

Optimizing The Strengthening Of Lecturer’s Professional Commitment Based On Local Wisdom And Organizational Support

Fitri Anjaswuri, Soewarto Hardhienata, Suhendra Suhendra
Abstract: This study aims to construct an integrated constellation model and determine optimal strategies for reinforcing lecturers’ professional commitment at leading private universities in Bogor. Utilizing the POP-SDM (Modeling&#8230; ng and Optimization of Management Resources) framework, the research integrates elements of local wisdom and organizational support within a systemic approach to human resource development. The exploratory qualitative phase involved in-depth interviews and focus group discussions to uncover major determinants influencing professional commitment. From the thematic analysis, four principal variables emerged—teamwork, organizational climate, religiosity, and work motivation—which were validated through expert judgment. Quantitative verification was subsequently performed using the Partial Least Squares–Structural Equation Modeling (PLS-SEM) technique to examine both direct and indirect relationships among constructs. The analysis confirmed that all variables exert positive and significant effects on lecturers’ professional commitment, with work motivation being the most dominant factor. To refine improvement priorities, the SITOREM (Scientific Identification Theory for Conducting Operational Research in Educational Management) method was applied, identifying indicators that should be improved, maintained, or further developed. The findings offer empirical and practical insights, including: (1) a validated POP-SDM–based commitment model combining cultural and organizational dimensions; (2) evidence-based strategies to enhance lecturer professionalism; and (3) an optimization framework to guide sustainable lecturer development in higher education institutions.

The Influence of Employee Motivation on the Quality of Administrative Services at the Leihitu Sub-District Office, Central Maluku Regency

Malawat, Lestari, Stanislaus Kostka Ohoiwutun, Ivonny Yeany Rahanra
Abstract: Public service quality is one of the fundamental indicators in assessing the performance of government institutions, especially at the district level where direct interactions with citizens take place. This study aims to&#8230; analyze the influence of employee motivation on the quality of administrative services at the Leihitu Sub-district Office, Central Maluku Regency. The research employs a quantitative approach with an explanatory design to identify causal relationships between variables. The population in this study consists of all employees involved in administrative services, and total sampling was used due to the manageable number of staff. Data were collected through a structured questionnaire using a Likert scale to measure motivation and service quality indicators. The data were analyzed using descriptive statistics and linear regression to determine the effect of motivation on service quality. The results show that employee motivation significantly and positively influences administrative service quality. Employees with higher intrinsic and extrinsic motivation tend to demonstrate better responsiveness, discipline, communication, and consistency in carrying out public service functions. The study concludes that strengthening motivation is essential to improve public service performance. Therefore, organizational leaders are encouraged to enhance work motivation through recognition, supportive leadership, fair reward systems, and professional development opportunities to ensure services meet community expectations.