Abstract:Abstract: The rapid development of information technology has increased the demand for high-quality software, necessitating a structured development process. ISO/IEC/IEEE 12207:2017 serves as an international standard encompassing…
compassing organizational, technical, and project support processes, differing from ISO 9001, which focuses more generally on quality management. This study employs a Multi-Criteria Decision Making (MCDM) approach by integrating the Analytic Hierarchy Process (AHP) and the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS). AHP determines the weight of ISO 12207:2017 criteria through pairwise comparisons, while TOPSIS ranks software development activities based on these weights. To validate the results, Analysis of Variance (ANOVA) is applied. The findings indicate that the Software Requirements Definition Process has the highest priority weight (0.169), followed by Implementation (0.101) and Operation (0.095). Software Configuration Management is identified as the most critical activity with the highest TOPSIS score (0.221). ANOVA confirms the reliability of expert evaluations, showing no significant differences. This study provides a structured decision-making framework based on ISO 12207:2017, helping optimize software project management while ensuring alignment with international standards and industry best practices.
Keywords: AHP; TOPSIS; ANOVA; ISO 12207:2017
Abstrak: Perkembangan teknologi informasi meningkatkan permintaan perangkat lunak berkualitas tinggi, sehingga diperlukan proses terstruktur dalam pengembangannya. ISO/IEC/IEEE 12207:2017 menjadi standar internasional yang mencakup proses organisasi, teknis, dan pendukung proyek, berbeda dengan ISO 9001 yang lebih umum pada manajemen kualitas. Penelitian ini menggunakan Multi-Criteria Decision Making (MCDM) dengan mengintegrasikan Analytic Hierarchy Process (AHP) dan Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS). AHP menentukan bobot kriteria ISO 12207:2017 melalui perbandingan berpasangan, sementara TOPSIS memeringkat aktivitas pengembangan berdasarkan bobot tersebut. Untuk validasi, Analysis of Variance (ANOVA) diterapkan. Hasil penelitian menunjukkan bahwa Proses Definisi Kebutuhan Perangkat Lunak memiliki bobot tertinggi (0,169), diikuti Implementasi (0,101), dan Operasi (0,095). Manajemen Konfigurasi Perangkat Lunak menjadi aktivitas paling kritis dengan skor TOPSIS tertinggi (0,221). ANOVA mengonfirmasi keandalan penilaian para ahli tanpa perbedaan signifikan. Penelitian ini memberikan kerangka kerja pengambilan keputusan berbasis ISO 12207:2017, membantu optimalisasi manajemen proyek perangkat lunak, serta memastikan keselarasan dengan standar internasional dan praktek terbaik industri.
Kata kunci: AHP; TOPSIS; ANOVA; ISO 12207:2017
Abstract:Abstract: By leveraging digital technology, Laporkitong enhances transparency and accountability, as well as facilitates public participation in the oversight and enforcement processes related to land use and natural resource…
ource management. The Laporkitong website functions as an online reporting application aimed at documenting instances of spatial planning violations in the West Papua Province. The lack of public knowledge about the Laporkitong application has led to numerous issues. Therefore, an analysis of the adoption of the Laporkitong application is necessary. This study aims to investigate the influence of Perceived Quality, Perceived Control, and Perceived Ease of Use factors as determinants of the residents' willingness to use the Laporkitong application, employing the Technology Acceptance Model (TAM) and DeLone and McLean IS Success (IS D&M) theories. As many as 160 valid respondents are gathered based purposive sampling technique and evaluated using Partial Least Square Structural Equation Modeling (PLS-SEM). The results inform that all seven hypotheses are accepted with the R-square of the intention to use is 0.273 indicationg 27.3% variance of the model can determine the outcome. Further discussion and conclusion regarding the implication of theoretical and practical contribution are also discussed.
Keywords: laporkitong; perceived control; perceived ease of use; perceived quality; technology acceptance model
Abstrak: Dengan memanfaatkan teknologi digital, Laporkitong meningkatkan transparansi dan akuntabilitas, serta memfasilitasi partisipasi publik dalam proses pengawasan dan penegakan terkait penggunaan lahan dan pengelolaan sumber daya alam. Website Laporkitong berfungsi sebagai aplikasi pelaporan online yang bertujuan untuk mendokumentasikan pelanggaran perencanaan tata ruang di Provinsi Papua Barat. Minimnya pengetahuan masyarakat terhadap aplikasi Laporkitong menyebabkan banyak permasalahan. Maka dari itu perlu dilakukan analisis mengenai adopsi pada aplikasi Laporkitong. Penelitian ini bertujuan untuk menyelidiki pengaruh faktor Kualitas yang Dirasakan, Kendali yang Dirasakan, dan Kemudahan Penggunaan yang Dirasakan sebagai penentu keinginan penduduk untuk menggunakan aplikasi Laporkitong, dengan menggunakan Model Penerimaan Teknologi (TAM) dan teori Kesuksesan Sistem Informasi (IS D&M) DeLone dan McLean. Sebanyak 160 responden valid dikumpulkan berdasarkan teknik purposive sampling dan dievaluasi menggunakan Partial Least Square Structural Equation Modeling (PLS-SEM). Hasilnya menunjukkan bahwa semua tujuh hipotesis diterima dengan R-square niat untuk menggunakan adalah 0,273, menunjukkan bahwa 27,3% variasi model dapat menentukan hasilnya. Diskusi lebih lanjut dan kesimpulan mengenai implikasi kontribusi teoritis dan praktis juga dibahas.
Kata kunci: laporkitong; pengendalian yang dirasakan; kemudahan penggunaan yang dirasakan; kualitas yang dirasakan; model penerimaan teknologi
Abstract:Abstract: The habit of smoking is dangerous because of the addictive substances that make cigarettes addictive. Its addictive nature poses a significant risk, affecting personality with stress, depression and nervous disorders.…
orders. Body factors that indicate smoking include blood sugar levels, dental caries, and hemoglobin. To address this, research has been conducted with focused efforts to understand and address the risks associated with smoking and its impact on overall health. This research aims to choose the best method for predicting smokers by using feature selection techniques. The feature selection algorithms uses for that are Analysis of Variance (ANOVA), Recursive Feature Elimination (RFE), and Genetic Algorithm (GA) to select optimal attributes and uses the k-fold cross validation technique as the validation of the Artificial Neural Network algorithm. The data includes various parameters such as age, height, weight, vision, blood pressure, cholesterol, triglycerides, hemoglobin, AST, ALT, GTP, gender, dental caries and tartar. Hearing ability, urine protein content, and tartar were selected. The results showed that using the Analysis of Variance method showed higher accuracy (77.101%) compared to the Genetic Algorithm method (74.64%) and the Recursive Feature Elimination method (76.08%). Selection of relevant attributes increases the predictions and insights of the Artificial Neural Network model about the effects of smoking on health.
Keywords: artificial neural network; analysis of variance; genetic algorithm; recursive feature elimination; smoker prediction
Abstrak: Kebiasaan merokok berbahaya karena adanya zat adiktif yang membuat rokok menjadi ketagihan. Sifatnya yang membuat ketagihan menimbulkan risiko yang signifikan, mempengaruhi kepribadian dengan stres, depresi, dan gangguan saraf. Faktor tubuh yang mengindikasikan kebiasaan merokok antara lain kadar gula darah, karies gigi, dan hemoglobin. Untuk mengatasi hal ini, penelitian telah dilakukan dengan upaya terfokus untuk memahami dan mengatasi risiko yang terkait dengan merokok dan dampaknya terhadap kesehatan secara keseluruhan. Penelitian ini bertujuan untuk memilih metode terbaik dalam memprediksi perokok dengan menggunakan teknik seleksi fitur. Metode seleksi fitur yang digunakan adalah Analysis of Variance (ANOVA), Recursive Feature Elimination (RFE), dan Genetic Algorithm (GA) untuk memilih atribut yang optimal dan menggunakan teknik k-fold cross validation sebagai validasi algoritma Artificial Neural Network. Data tersebut mencakup berbagai parameter seperti umur, tinggi badan, berat badan, penglihatan, tekanan darah, kolesterol, trigliserida, hemoglobin, AST, ALT, GTP, jenis kelamin, karies gigi dan karang gigi. Kemampuan pendengaran, kandungan protein urin, dan karang gigi dipilih. Hasil penelitian menunjukkan bahwa penggunaan metode Analysis of Variance menunjukkan akurasi yang lebih tinggi (77,101%) dibandingkan dengan metode Genetic Algorithm (74,64%) dan metode Recursive Feature Elimination (76,08%). Pemilihan atribut yang relevan meningkatkan prediksi dan wawasan model Jaringan Syaraf Tiruan tentang dampak merokok terhadap kesehatan.
Kata kunci: artificial neural network; analysis of variance; genetic algorithm; prediksi perokok; recursive feature elimination
Abstract:Abstract: that the number of catches obtained by fishermen is more optimal. With secondary data based on the type of cultivation developed by fishing communities, the authors intend to explore this data so that they can…
examine more deeply the most effective types of cultivation using analysis of variance to find out the differences between each type of cultivation and cluster analysis using the complete linkage method. to find out the grouping of marine culture production based on the types developed by fishing communities in Indonesia. The correlation between the observed variables is 0.008, so it can be said that there is no relationship between the observed variables. In addition, the sig. and t-test. sig value is obtained. > α (5% = 0.05). This means that there is a significant average difference in fish production results based on the type of cultivation developed by fishing communities. With the grouping of types of marine cultivation developed by the Wesleyan community using the complete-linkage method, they are divided into 3 groups based on the degree of similarity in the production results obtained. Cluster 1 consists of Floating Nets, and Pools; Cluster 2 consists of other seas, seaweed, cages, and fishing nets; and Cluster 3 consists of Fresh Floating Nets, Minapadi, and Ponds.
Keywords: Complete-Linkage; Fish Production; Mariculture; Multivariate Analysis; T-test;
Abstrak: Berdasarkan penelitian sebelumnya pada analisis variansi untuk menguji perbedaan rata-rata pada masing-masing perlauan peletakan sudut jarring agar jumlah tangkapan yang diperoleh nelayan lebih optimal. Dengan adanya data sekunder berdasarkan jenis budidaya yang dikembangkan masyarakat nelayan, penulis bermasksud untuk melakukan eksplorasi pada data tersebut agar dapat mengkaji lebih dalam terhadap jenis budidaya yang paling efektif dengan analisis variansi untuk mengetahu perbedaan dari masing-masing jenis budidaya serta analisis cluster dengan metode complate linkage untuk mengetahui adanya pengelompokan hasil produksi bududaya laut berdasarkan jenis yang dikembangkan oleh masyarakat nelayan di Indonesia. Korelasi antar variabel yang diamati sebesar 0.008, maka dapat dikatakan bahwa tidak ada hubungan antara variabel yang diamati. Selain itu, hasil uji sig. dan uji t. diperoleh nilai sig. > α (5% = 0.05). Artinya, terdapat perbedaan rata-rata secara signifikan hasil produksi ikan berdasarkan jenis budidaya yang dikembangkan oleh masyarakat nelayan. Dengan adanya pengelompokan jenis budidaya laut yang dikembangkan oleh masyarakat neleyan dengan metode complete-linkage terbagi atas 3 kelompok berdasarkan tingkat kemiripan hasil produksi yang diperoleh. Cluster 1 terdiri dari Jaring Apung, Kolam; Cluster 2 terdiri dari Laut lainnya, Rumput laut, Keramba, Jaring Tancap; dan Cluster 3 terdiri dari Jaring Apung Tawar, Minapadi, Tambak.
Kata kunci: Analisis Multivariate; Budidaya Laut; Complate-Linkage; Produksi Ikan; Uji-t;
Abstract:This study aimed to analyze the response of several cayenne pepper varieties (Capsicum frutescens L.) on the growth and yield of cayenne pepper cultivated in the cocoa (Theobroma cacao L.) alley cropping system. The research…
arch was conducted from April to July 2025 at Mon Jambe Village, Jeumpa District, and the Kopbun Suka Tani Sejahtera Business Research Center, Kota Juang District, Bireuen Regency. The experiment employed a Randomized Block Design (RBD) with four varieties as treatments and three replications, resulting in 12 experimental units. The tested varieties were Rajo, Genie, Bara, and Tetra Hijau. Data were collected through observations of plant height, number of leaves, number of fruits, fruit weight, and fresh biomass weight, and were analyzed using analysis of variance (ANOVA) to determine differences among treatments. The results showed that the varietal factor had a highly significant effect on leaf number and a significant effect on fruit number and fruit weight. The Bara variety exhibited the most adaptive and productive performance under the cocoa alley cropping system, as indicated by superior vegetative growth and yield compared to other varieties. The novelty of this study lies in emphasizing that varietal selection is a key factor in optimizing the utilization of cocoa alley spaces for cayenne pepper cultivation. These findings are expected to provide a scientific basis for developing cayenne pepper cultivation technologies in cocoa alley systems and to serve as a reference for further research on adaptive variety development under such environmental conditions.
Abstract:This research examines the impact of gadget use on early childhood social interaction within the urban setting of XYZ Village, Surabaya, amid the growing prevalence of digital exposure among young children. Anchored in Vygotsky’s…
ygotsky’s Sociocultural Theory and the Socialisation Theory, the study evaluates how the duration and frequency of gadget use influence key social competencies, including verbal communication, cooperative behavior, and empathy in children aged 3 to 6 years. Employing a quantitative, cross-sectional design, the study collected data from 100 children using parent-administered questionnaires and direct observational methods, followed by analysis through multiple linear regression. The findings demonstrate that both the duration and frequency of gadget use exert a statistically significant influence on children’s social interaction (p < 0.05), accounting for 19% of the variance (R² = 0.190). The remaining variation is likely influenced by external variables such as parenting styles, digital content quality, and psychological factors. These outcomes underscore the importance of regulated gadget use, active parental involvement, and integrative educational practices that promote both digital literacy and interpersonal development.
Abstract:This study aims to examine the relationship between employee training and development programs and customer satisfaction levels within the hospitality sector, with a particular focus on MaxOne Hotels in Makassar. Employing…
ng a mixed-methods approach, the research integrates employee surveys, customer feedback, and performance metric analysis to assess the influence of training programs on service quality and customer experiences. The findings reveal that employee training and development variables account for only 1.4% of the variance in customer satisfaction, with the remaining 98.6% influenced by other factors. Nevertheless, well-structured training program designs were shown to significantly enhance employees' critical thinking, communication, emotional regulation, and problem-solving skills. Furthermore, technology-based training demonstrates substantial potential for improving service efficiency and facilitating adaptation to operational innovations. In conclusion, while the direct impact of training on customer satisfaction is relatively minor, thoughtfully designed training programs remain essential for delivering high-quality customer experiences and sustaining competitiveness in the industry. This research offers valuable insights into strategies for optimizing training effectiveness in the hospitality sector.
Abstract:To get the best results from the existence of employees in the organization, it is necessary to define the right strategy, including thinking about how to manage employees so that they want to achieve the vision and mission…
ion of the organization. set out, and to create work motivation to achieve high performance and loyalty to the work of employees. The aim of this study was to know whether compensation and motivation at work affect performance. This study is a quantitative study, with a sample of 35 employees, with the results concluding that pay and work motivation have a significant effect in part on performance, which is highlighted by table t counts > t, after the test results, it is concluded that salary and work motivation have a simultaneous effect, this is shown by the calculated value F > table F. Wage and motivation work also provides almost all the variance values of the performance variable, i.e. 87.9%. Based on the research results, the author suggests that leaders should care or develop policies related to compensation or ways to motivate employees. can increase employee loyalty and work capacity so it has a positive impact on performance
Abstract:Study This aims to find out and deepen Improvement Growth Results Sweet Corn Plants ( Zea Mays) With Utilization Blotong and POC Seprint. This research was conducted on the land of the Department of Environmental Protection…
ion Food, Agriculture and Fisheries Department of Medan City, Jl. Keramat Indah No. 4, Medan Southeast, Medan Denai District, North Sumatra. The experimental design that The design used in this study was a Randomized Block Design (RAK) with 3x3 factorial pattern with 3 replications with total treatment combinations as many as 9 treatments. Treatment factor of Blotong dose with symbol B consisting of 3 level that is : (B1) 0.50 kg/plot (B2) 1.00 kg/plot (B3) 1.50 kg/plot. Factor POC Seprint concentration with the symbol S which consists of 3 levels, namely: (S1) 4 ml/1 L water (S2) 8 ml/1 L water and (S3) 12 ml/1 L water. Observation data was carried out analysis of variance with F test at 5% level, if the difference is significant then the test followed by Duncan's test at 5% level. 1). The effect of the Blotong dose has an effect very real on plant height, number of leaves, flag leaf length, leaf width flag, weight of cob, diameter of cob, length of cob, but it has an effect real on production per plot And amount line per cob, whereas had no significant effect on the stem diameter of sweet corn plants ( Zea Mays ). 2). Based on the results and discussion, it can be concluded that the treatment POC Seprint does not have a very significant impact on all parameters Which observed. Addition fertilizer Seprint with concentration 12 ml/1 L water show results Which best compared to treatment other. 3). Interaction between treatment influences Blotong and POC Seprint no real effect on all observation parameters observed on sweet corn plants ( Zea Mays ).
Abstract:This study aims to examine the short-term and long-term relationships between inflation, exchange rate, BI rate, and GDP on third-party funds (DPK) in Islamic commercial banks. This research uses a quantitative approach…
and secondary data, which consist of 60 monthly observations from January 2020 to December 2024. The analysis tool employed is the Vector Error Correction Model (VECM), with several tests conducted, including the stationarity test, optimal lag test, VAR stability test, cointegration test, Granger causality test, VECM estimation, impulse response function (IRF) test, and forecast error variance decomposition (FEVD) test. The results indicate that inflation has a significant negative effect on DPK in both the short and long term. The exchange rate has no significant effect on DPK in either the short or long term. The BI rate does not affect DPK in the short term, while in the long term, it tends to show a negative effect, though not significant. Gross Domestic Product (GDP) has a significant positive effect on DPK in both the short and long term.