Abstract:The determination of beneficiaries for the housing improvement assistance program at the Department of Housing and Settlement Areas (Perkim) of Tanjungbalai City still faces problems in the selection process, which is carried…
rried out manually, requiring considerable time and potentially causing errors and inaccuracies in determining beneficiaries. This study aims to apply the Fuzzy Tahani method in developing a Decision Support System (DSS) to assist the decision-making process for the housing improvement assistance program. The criteria used in the decision-making process include the level of house damage, family income, number of dependents, and house ownership status. The system is designed using UML, while the application is developed using the PHP programming language and MySQL database. The Fuzzy Tahani method is applied to process data based on linguistic values and membership degrees for each criterion, resulting in alternatives and rankings of prospective beneficiaries. The proposed system is expected to assist the Department of Housing and Settlement Areas of Tanjungbalai City in determining beneficiaries more accurately, practically, and measurably according to the level of community needs.
Abstract:Managing Tjong A Fie Museum as a historical tourism destination requires human resources who are not only technically competent but also able to internalize and convey local wisdom values to visitors. This study focuses…
on analyzing human resource development strategies based on local wisdom and identifying local values that can serve as a foundation for enhancing museum staff competence. A descriptive qualitative approach was employed. Three tour guides and two tourist were selected as informants through purposive sampling, with data collected through semi-structured interviews, observation, and documentation. Data analysis followed the interactive model of Miles, Huberman, and Saldana, while data validity was examined through source and technique triangulation. The findings reveal that guides' competence development has largely relied on informal peer-to-peer learning, whereas actual training needs include storytelling skills, public speaking, cross-language communication, and field situation management. Local wisdom values embedded in the museum's history religious and ethnic tolerance, the spirit of gotong royong (mutual/communal cooperation), social concern, work ethic, and the blend of Chinese, Malay, and European cultures are considered highly relevant as training content. The museum is advised to develop a documented training system grounded in these values to ensure the authenticity and sustainability of the historical tourism services offered
Abstract:Weather observation data produced by the Meteorology, Climatology and Geophysics Agency (BMKG) has multivariate characteristics, so it requires an analysis method that is able to identify patterns based on similarities in…
n data characteristics. This research aims to analyze and visualize daily and monthly weather parameter patterns in the East Jakarta area using the K-Means Clustering algorithm. The dataset used is daily observation data from the Halim Perdanakusuma Meteorological Station for the period January–December 2025, totaling 365 observations with six meteorological parameters, namely TN, TX, TAVG, RH_AVG, RR, and FF_AVG. The research stages include merging data, handling missing values using median imputation, data normalization using StandardScaler, data exploration, determining the optimal number of clusters using the Elbow Method and Silhouette Score, followed by the clustering process using K-Means. The evaluation results show that there are three optimal clusters (K=3), which represent variations in the daily weather characteristics of East Jakarta. The clustering results identified different characteristics, namely Cluster 0 (Hot Dry Weather), Cluster 1 (Cool Cloudy Weather), and Cluster 2 (Heavy Rainy Weather). Visualization in the form of correlation heatmaps, time series graphs, scatter plots, box plots and bar charts provide informative representations of weather parameter distribution patterns, making it easier to interpret analysis results. This research proves that K-Means Clustering is used as an effective exploratory method for identifying weather parameter patterns and visualization of meteorological analysis.
Abstract:Open burning of waste is still one of the problems in waste management because it can produce various air pollutants and has the potential to reduce environmental quality. This study aims to evaluate the ambient air quality…
ity around a simple waste incinerator using a Smokeless Barrel Incinerator (SBI) and analyze the concentrations of sulfur dioxide (SO₂), carbon monoxide (CO), and ozone (O₃) against ambient air quality standards. The study uses a quantitative approach with an experimental method. Sampling was carried out in the parking area of Nahdlatul Ulama University of West Sumatra at a distance of 20 meters from the source of combustion with a downwind position and the height of the tool was about 1.5–2 meters from the ground level. Sampling was carried out for 1 hour. SO₂ and O₃ parameters were analyzed using an impinger system and spectrophotometry methods, while CO was measured using gas analysis instruments according to laboratory methods. The test results showed a concentration of SO₂ of 4.02 μg/m³, CO of 338 μg/m³, and O₃ of 0.067 μg/m³. Based on the reference values used in the study, the three parameters were below the ambient air quality standard. The results showed that under the test conditions, the use of SBI did not cause the concentration of SO₂, CO, and O₃ at the sampling point to exceed the quality standard values. The primary and secondary ventilation systems in SBI have the potential to help improve oxygen supply and combustion processes. However, the results of the study cannot be used to state that SBI is pollutant-free because the parameters of particulate matter, NOₓ, VOCs, PAHs, dioxins-furans, and heavy metals have not been analyzed and direct comparative testing with open combustion has not been carried out.
Abstract:Abstract: This study forecasts monthly solid-waste retribution revenue at the Solok Regional Landfill using Holt's Double Exponential Smoothing. The database contained 72,000 transactions from two landfills. After selecting…
ing the location and study period, checking transaction status, and removing nonpositive values, 44,864 valid transactions were aggregated into 44 monthly observations from January 2023 to August 2026. January 2023-December 2025 served as training data and January-August 2026 as a temporal holdout. Parameters were selected from 9,801 alpha-beta pairs by minimizing training MAPE. The selected model used alpha=0.73 and beta=0.24. On the holdout, it achieved a MAPE of 9.82%, an MAE of IDR 4.29 million, and an RMSE of IDR 4.74 million, outperforming the 11.77% MAPE of a naive benchmark. After refitting all observations, the September 2026-August 2027 forecasts totaled IDR 695.75 million. The model provides a quantitative baseline for revenue planning, although its linear trend extrapolation requires cautious interpretation.
Keyword: double exponential smoothing; Holt; revenue forecasting; solid-waste retribution; landfill
Abstrak: Penelitian ini bertujuan meramalkan pendapatan retribusi bulanan TPA Regional Solok menggunakan Holt Double Exponential Smoothing. Basis data memuat 72.000 transaksi dari dua TPA. Setelah seleksi lokasi dan periode, pemeriksaan status transaksi, serta penghapusan nilai nonpositif, diperoleh 44.864 transaksi valid yang diagregasi menjadi 44 observasi bulanan Januari 2023-Agustus 2026. Data Januari 2023-Desember 2025 digunakan untuk pelatihan dan Januari-Agustus 2026 sebagai holdout temporal. Parameter dipilih dari 9.801 pasangan alpha-beta dengan meminimalkan MAPE pelatihan. Model terpilih menggunakan alpha=0,73 dan beta=0,24. Pada holdout, model menghasilkan MAPE 9,82%, MAE Rp4,29 juta, dan RMSE Rp4,74 juta, lebih baik daripada baseline naif dengan MAPE 11,77%. Setelah estimasi ulang menggunakan seluruh observasi, total prakiraan September 2026-Agustus 2027 mencapai Rp695,75 juta. Model dapat menjadi baseline kuantitatif untuk perencanaan penerimaan, tetapi ekstrapolasi tren linearnya perlu ditafsirkan secara hati-hati.
Kata kunci: double exponential smoothing; Holt; peramalan pendapatan; retribusi persampahan; tempat pemrosesan akhir
Abstract:This study aims to analyze and explain the effect of servant leadership on personnel's job satisfaction with work-life balance as a mediating variable at the Kuantan Singingi Regional Police. The high intensity of law enforcement…
forcement duties and massive public service demands require police institutions to optimally manage their human resources to maintain the emotional stability and professionalism of personnel in the field. This research design uses an explanatory quantitative approach by distributing questionnaires to 234 personnel selected as samples. The data analysis technique used is Partial Least Squares Structural Equation Modeling (PLS-SEM) operated through SmartPLS software. The measurement model evaluation (outer model) confirms that all indicators used have met the requirements of convergent validity, discriminant validity, and robust construct reliability. Furthermore, the structural model testing (inner model) proves that all hypotheses proposed in this study are empirically accepted. Servant leadership is proven to have a direct positive and significant effect on both job satisfaction (t-statistics = 2.312; p-values = 0.021) and work-life balance (t-statistics = 5.664; p-values = 0.000). In addition, work-life balance is also found to have a very strong positive and significant effect on personnel's job satisfaction (t-statistics = 8.968; p-values = 0.000). The indirect effect test results show that work-life balance plays a significant role as a mediating variable with partial mediation characteristics in bridging the influence of servant leadership on job satisfaction (t-statistics = 4.470; p-values = 0.000). Based on the perspective of conservation of resources theory, these findings confirm that the implementation of servant leadership style by leaders will generate a much more massive psychological gain spiral in increasing the professional satisfaction of members if the institution is able to stimulate and prioritize the creation of a healthy life balance space for its personnel.
Abstract:Rainfall is one of the most important climatological parameters that plays a significant role in supporting agriculture, water resource management, and hydrometeorological disaster mitigation in Indonesia. As the volume…
of meteorological data continues to increase, technologies capable of processing large-scale data efficiently are required. This study aims to analyze rainfall patterns in Indonesia using a Big Data approach by utilizing Apache Spark as the primary data processing framework. The data used in this research consist of daily rainfall data from 34 provinces in Indonesia obtained from the Meteorology, Climatology, and Geophysics Agency (BMKG) in CSV format. This research employs a descriptive quantitative method consisting of data ingestion, data cleaning, data transformation, and descriptive statistical analysis using Apache Spark with PySpark. The analysis was conducted to obtain information regarding the number of valid records, average rainfall, maximum rainfall, and minimum rainfall values for each province. The results indicate that Apache Spark is capable of processing rainfall data in a structured, efficient, and automated manner. Based on the analysis, West Sumatra Province recorded the highest average rainfall at 16.01 mm/day, while Central Sulawesi Province recorded the lowest average rainfall at 0.30 mm/day. In addition, the highest maximum rainfall was observed in Bengkulu Province at 186.4 mm. The use of Spark DataFrame and aggregation functions such as count(), avg(), max(), and min() proved effective in supporting data processing and analysis activities. The findings demonstrate that Apache Spark can serve as an effective solution for large-scale climatological data processing and provide valuable information to support decision-making in agriculture, water resource management, and disaster mitigation in Indonesia.
Abstract: Abstract: Reading is a crucial basic skill for elementary school students as it forms the basis for understanding various subjects. However, some second-grade elementary school students still experience reading difficulties,…
lties, such as not being fluent, not understanding the content, and having a low interest in reading. This study aims to determine the effect of picture storybooks containing character values on the reading ability of second-grade elementary school students. This study used a quantitative approach with a pre-experimental design, a one-group pretest-posttest design. The subjects were 25 second-grade elementary school students. Data collection techniques included reading tests, observation, and documentation. Data were analyzed using normality tests, homogeneity tests, and t-tests. The results showed that the use of picture storybooks containing character values can improve students' reading ability. This is evident in the increase in students' average scores before and after treatment, from 64.8 to 83.2. In addition to improving reading ability, picture storybooks also help instill character values such as discipline, responsibility, cooperation, and honesty in students. Based on the results of the study, it can be concluded that picture storybooks containing character values have a positive and significant effect on the reading ability of second-grade elementary school students.
Keywords: picture story books, character values, reading ability, elementary school students
Abstrak
Kemampuan membaca merupakan keterampilan dasar yang sangat penting bagi siswa sekolah dasar karena menjadi dasar dalam memahami berbagai mata pelajaran. Namun, masih terdapat siswa kelas II SD yang mengalami kesulitan membaca, seperti belum lancar membaca, kurang memahami isi bacaan, dan rendahnya minat membaca. Penelitian ini bertujuan untuk mengetahui pengaruh media buku cerita bergambar bermuatan nilai karakter terhadap kemampuan membaca siswa kelas II SD. Penelitian ini menggunakan pendekatan kuantitatif dengan metode pre-experimental design jenis one group pretest-posttest design. Subjek penelitian berjumlah 25 siswa kelas II SD. Teknik pengumpulan data dilakukan melalui tes membaca, observasi, dan dokumentasi. Data dianalisis menggunakan uji normalitas, uji homogenitas, dan uji t. Hasil penelitian menunjukkan bahwa penggunaan media buku cerita bergambar bermuatan nilai karakter dapat meningkatkan kemampuan membaca siswa. Hal ini terlihat dari peningkatan nilai rata-rata siswa sebelum dan sesudah perlakuan, yaitu dari 64,8 menjadi 83,2. Selain meningkatkan kemampuan membaca, media buku cerita bergambar juga membantu menanamkan nilai karakter seperti disiplin, tanggung jawab, kerja sama, dan kejujuran kepada siswa. Berdasarkan hasil penelitian dapat disimpulkan bahwa media buku cerita bergambar bermuatan nilai karakter berpengaruh positif dan signifikan terhadap kemampuan membaca siswa kelas II SD.
Kata kunci: buku cerita bergambar, nilai karakter, kemampuan membaca, siswa sekolah dasar
Abstract:This study aims to examine the influence of internship experience, work interest, soft skills, and work motivation on the job readiness of students in the Department of Informatics Engineering, Faculty of Engineering, Toraja…
raja Christian University of Indonesia, both partially and simultaneously. A quantitative approach was employed using primary data collected through questionnaires distributed to 2023 cohort students who had completed their internship program. The study involved 50 respondents selected using the Slovin formula and purposive sampling technique. Data were analyzed using multiple linear regression with IBM SPSS version 26, preceded by validity, reliability, and classical assumption tests. The results indicate that internship experience, work interest, soft skills, and work motivation each have a positive and significant effect on students' job readiness, with significance values below 0.05. Simultaneously, the four variables also have a positive and significant effect on job readiness, as indicated by an F-value of 25.750 and a significance level of 0.000. The coefficient of determination of 69.6% indicates that students' job readiness is explained by internship experience, work interest, soft skills, and work motivation, while the remaining 30.4% is influenced by other factors outside the research model. These findings highlight the importance of strengthening internship programs and developing both technical and non-technical competencies to enhance graduates' readiness for the increasingly competitive labor market.
Abstract:Abstract: The growth of Sharia-based organizations necessitates a human resource management system that is not only productivity-oriented but also capable of integrating values of ethics, justice, well-being, and sustainability.…
ustainability. This study aims to analyze and develop an integrative model of the relationships among Islamic Human Resource Management (IHRM), Islamic Work Ethics (IWE), Employee Performance (EP), and Organizational Sustainability (OS) from the perspective of *Maqashid Sharia* (the objectives of Sharia). A quantitative approach with an explanatory research design was employed, utilizing a five-point Likert scale questionnaire administered to employees of Sharia-based organizations or institutions. The research model positions IHRM as the exogenous variable, IWE as the mediating variable, Employee Performance as the endogenous variable, and Organizational Sustainability as the final outcome. The analysis of relationships between variables was conducted using Partial Least Squares Structural Equation Modeling (PLS-SEM), involving the evaluation of measurement and structural models as well as mediation effect testing. The conceptual framework demonstrates that IHRM implementation—encompassing Islamic-based recruitment and selection, training and development, performance appraisal, fair remuneration and compensation, and spiritual development—has the potential to strengthen Islamic work ethics. The internalization of values such as trustworthiness (*amanah*), honesty, responsibility, hard work, discipline, justice, cooperation, and an orientation toward the common good (*maslahah*) serves as a mechanism that drives improved employee performance and supports organizational sustainability. The *Maqashid Sharia* perspective broadens the orientation of human resource management from mere economic achievement toward human development, well-being, justice, and long-term public interest.
Keywords: Islamic Human Resource Management; Islamic Work Ethics; Organizational Sustainability
Abstrak: Perkembangan organisasi berbasis syariah membutuhkan sistem pengelolaan sumber daya manusia yang tidak hanya berorientasi pada produktivitas, tetapi juga mampu mengintegrasikan nilai etika, keadilan, kesejahteraan, dan keberlanjutan. Penelitian ini bertujuan menganalisis dan mengembangkan model integratif hubungan Islamic Human Resource Management (IHRM), Islamic Work Ethics (IWE), Employee Performance (EP), dan Organizational Sustainability (OS) dalam perspektif Maqashid Syariah. Penelitian menggunakan pendekatan kuantitatif dengan desain explanatory research, sedangkan pengumpulan data dirancang melalui kuesioner menggunakan skala Likert lima poin pada karyawan organisasi atau lembaga berbasis syariah. Model penelitian menempatkan IHRM sebagai variabel eksogen, IWE sebagai variabel mediasi, Employee Performance sebagai variabel endogen, dan Organizational Sustainability sebagai outcome akhir. Analisis hubungan antarvariabel dirancang menggunakan Partial Least Squares Structural Equation Modeling (PLS-SEM) melalui evaluasi measurement model, structural model, dan pengujian efek mediasi. Kerangka konseptual menunjukkan bahwa implementasi IHRM melalui rekrutmen dan seleksi berbasis Islam, pelatihan dan pengembangan, penilaian kinerja, remunerasi dan kompensasi yang adil, serta pengembangan spiritual berpotensi memperkuat etika kerja Islam. Internalisasi nilai amanah, kejujuran, tanggung jawab, kerja keras, disiplin, keadilan, kerja sama, dan orientasi kemaslahatan selanjutnya diposisikan sebagai mekanisme yang mendorong peningkatan kinerja karyawan dan mendukung keberlanjutan organisasi. Perspektif Maqashid Syariah memperluas orientasi pengelolaan sumber daya manusia dari sekadar pencapaian ekonomi menuju pengembangan manusia, kesejahteraan, keadilan, dan kemaslahatan jangka panjang.
Kata Kunci: Islamic Human Resource Management; Islamic Work Ethics; Organizational Sustainability