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PROSEDUR PENANGANAN ANAK YANG BERHADAPAN DENGAN HUKUM DALAM KASUS TINDAK PIDANA PEMBUNUHAN YANG DITANGANI KEJAKSAAN NEGERI JOMBANG
EFEKTIFITAS PROGRAM KESETARAAN HADIR UNTUK WARGA SURABAYA (KRISNA) DALAM MENANGANI KASUS ANAK TIDAK SEKOLAH PADA DINAS PENDIDIKAN KOTA SURABAYA
ABSTRACT
EFFECTIVENESS OF THE KRISNA PROGRAM FOR SURABAYA
RESIDENTS INHANDLING CASES OF CHILDREN NOT ATTENDING
SCHOOL AT THESURABAYA CITY EDUCATION OFFICE
NUR AZIZAH SAFIQ FITRIANA
NPM. 21041010305
This study aims to analyze the effectiveness of the Surabaya Residents' Equality
Program (KRISNA) in handling cases of out-of-school children (ATS) by the Surabaya
City Education Office. The KRISNA program is a local government effort to return
out-of-school children to education through equivalency education services at PKBM.
This study aims to evaluate the KRISNA program in handling cases of out-of-school
children at the Surabaya City Education Office. This study uses a descriptive
qualitative method through interviews, observations, and document reviews. The
effectiveness analysis refers to Siagian's (2016) theory, which includes four indicators:
resources, quantity and quality of results, time limits, and implementation procedures.
The results show that the utilization of human resources, funds, and infrastructure has
been effective, although there is still a shortage of PKBM tutors. The quantity and
quality of services are considered good, as reflected in the rapid and continuous
handling of ATS reports. The program implementation was also in accordance with the
specified time limit, and the service procedures followed the SOP, making it easier for
the community in the administrative process. Overall, the KRISNA Program was
considered effective in handling ATS, although improvements in coordination, human
resources, and facilities were still needed.
Keywords: Effectiveness, KRISNA Program, Out-of-School Children, Equivalency
Education, Surabaya City Education Offic
PROSEDUR PENANGANAN TINDAK PIDANA EVENT ORGANIZER (STUDI DI KEJAKSAAN NEGERI KOTA KEDIRI)
IMPLEMENTASI KEBIJAKAN PENGELOLAAN PARIWISATA BUKIT KAYOE POETIH PADA KABUPATEN MOJOKERTO
This study aims to analyze the implementation of the tourism management policy of
Bukit Kayoe Poetih (BKP) in Kupang Village, Jetis District, Mojokerto Regency,
using Edward III’s policy implementation theory, which includes the variables of
communication, resources, disposition, and bureaucratic structure. This research
employs a qualitative approach with a descriptive method, and data were collected
through in-depth interviews, observation, and documentation. Data analysis was
conducted using Miles and Huberman’s interactive model, consisting of data
reduction, data display, and conclusion drawing. The findings indicate that the
implementation of the BKP management policy has been carried out but remains
suboptimal. Communication and resource factors serve as the main obstacles in the
policy implementation, particularly in terms of inter-actor coordination and limited
funding for facility development. Meanwhile, the implementers’ disposition reflects
a positive attitude toward tourism sustainability, although it is not yet supported by
a clear bureaucratic structure. The collaboration among Perhutani, CV Mitra
Abadi, and LMDH/Watu Blorok demonstrates a potentially strong partnership
pattern but requires stronger formal coordination and enhanced managerial
capacity. In conclusion, the effectiveness of regional tourism policy implementation
largely depends on the integration of communication, implementers’ commitment,
and adequate resource support within an adaptive and participatory institutional
structure.
Keywords: Policy implementation, Edward III, tourism management, Bukit Kayoe
Poetih, three-party collaboration
Pendugaan Kawasan Rawan Longsor Menggunakan Sistem Informasi Geografis Di Sub DAS Bangsal Mojokerto
Landslides are a natural phenomenon that often occur in Indonesia, especially in areas with a humid and hot climate and varied topography. Mojokerto Regency is one of the areas prone to landslides, especially in the Bangsal Sub-Watershed. Landslides are triggered by a combination of factors such as high rainfall, steep slopes, unstable soil conditions, and lack of vegetation cover. This study aims to identify the main factors causing landslides and map the level of landslide vulnerability in the Bangsal Sub-watershed of Mojokerto using a Geographic
Information System (GIS). This study includes primary data covering the physical and chemical properties of the soil, and secondary data covering annual rainfall, soil type, geology, land cover, and slope inclination, which are analysed using ArcGis software. The methods used were overlay and indicator weighting and scoring of each parameter based on BNPB Regulation No. 2 of 2012 to produce a landslide vulnerability map. The results of this study show that there are three classifications of landslide vulnerability in the Bangsal Sub-Watershed, namely moderate class with an area of 3.1 ha or 0.06%, high class with an area of 4,708.32 ha or 98.85%, and very high class with an area of 51.49 or 1.09%
PENGARUH KONSENTRASI ASAM SULFAT DAN SUHU HIDROLISIS TERHADAP KATAKTERISTIK MIKROKRISTAL SELULOSA DARI BATANG UBI KAYU
This research aims to investigate the effect of sulfuric acid concentration and hydrolysis temperature on the characteristics of microcrystalline cellulose (MCC) derived from cassava stems (Manihot esculenta). The MCC production process involved several stages, including raw material preparation, delignification, bleaching, and acid hydrolysis. The variables studied were sulfuric acid concentrations of 1.5 N, 2 N, 2.5 N, 3 N, and 3.5 N, and hydrolysis temperatures of 60°C, 70°C, 80°C, 90°C, and 100°C. The results showed that increasing the sulfuric acid concentration and hydrolysis temperature significantly affected the yield and cellulose content produced. The optimum condition was obtained at a concentration of 2.5 N and a temperature of 80°C, resulting in the highest yield and cellulose content that met the British Pharmacopeia standard for microcrystalline cellulose. Particle size analysis (PSA) indicated a uniform particle size distribution, X-ray diffraction (XRD) revealed a high degree of crystallinity, and scanning electron microscopy (SEM) showed irregularly shaped particles with smooth surfaces. These results suggest that cassava stems have strong potential as an alternative raw material for the environmentally friendly and economically valuable production of microcrystalline cellulose
Sintesis Nanopartikel Bleaching Earth (Bentonit) Dengan Metode Solgel
Bleaching earth based on bentonite is an important material in the oil refining process due to its ability to adsorb pigments, free fatty acids, and other impurities. However, the performance of natural bleaching earth is often limited by its large particle size and low surface area. This study aims to synthesize nanoparticle-based bleaching earth (synthetic bentonite) using the sol–gel method with sodium silicate solution, commonly known as waterglass (Na₂SiO₃), and aluminum sulfate (Al₂(SO₄)₃) as precursors. The synthesis process was carried out with variations in aging time (24–120 hours) and calcination temperature (400–800 °C) to determine the influence of these parameters on the chemical composition, morphology, particle size, and specific surface area of the final product. The results show that increasing the calcination temperature decreases moisture content and specific surface area while increasing particle size. Meanwhile, aging time has a complex effect on the levels of Si, Al, and O. The Si and Al contents tend to decrease when the aging time is excessively long at low temperatures due to the re-dissolution of active ions within the sol system. The best results were obtained at 24 hours of aging and a calcination temperature of 400 °C, yielding 31.5% Si, 8.07% Al, a particle size of 1.56 nm, and a specific surface area of 1544.42 m²/g. This composition meets the SNI 136336-2000 standard for bleaching earth. Adsorption tests on bulk cooking oil demonstrated the high effectiveness of the synthesized bleaching earth in decolorizing the oil, indicating its potential as an alternative material for oil purification. Overall, the sol–gel method proved effective in producing nanoscale synthetic bentonite with superior physical and chemical characteristics
Pengaruh Komposisi Media Tanam dan Dosis Pupuk Npk 16:16:16 Terhadap Pertumbuhan Bibit Tanaman Kecombrang (Etlingera elatior (Jack) R.M. Schmidt)
This research aims to determine the best planting media and NPK fertilizer dosage for cultivating kecombrang seedlings from seeds. This research was conducted at the Experimental Garden of the Faculty of Agriculture, Universitas Pembangunan Nasional “Veteran” Jawa Timur, Surabaya, from January to April 2025. This research consisted of two factors arranged in a completely randomized design. Factor 1 was the composition of the growing medium (soil:cow manure:rice husk/v:v:v), which consisted of 4 levels (1:1:1, 1:2:1, 2:1:1, and 1:1:2) and factor 2 is the NPK fertilizer dose consisting of 4 levels (0, 1, 2, and 3 g/plant). The results showed that the combination of soil composition:cow manure:rice husk (1:2:1/v:v:v) with an NPK fertilizer dose of 3 g/plant produced the best results in terms of number of leaves, leaf area, fresh shoot weight, dry shoot weight, fresh root weight, dry root weight, root length, and growth rate of kecombrang seedlings
Prediksi Produksi Perkebunan Besar di Indonesia Menggunakan Metode Category Boosting
The plantation subsector plays an important role in Indonesia’s economy by providing non-oil export commodities and absorbing a large workforce. However, its production is strongly influenced by climatic factors such as rainfall and air temperature. This study aims to predict the production of large-scale plantations in Indonesia using the Category Boosting algorithm, an advanced version of the Gradient Boosting Decision Tree (GBDT) that effectively handles categorical data without manual encoding. The data were obtained from BPS and BMKG covering the period 2009–2024, including five main commodities: dry rubber, palm oil, coffee, tea, and sugarcane. The research stages include data preprocessing, handling missing values through linear interpolation, feature engineering (seasonal transformation and lag features), and model training under three scenarios: baseline, hyperparameter optimization using Random Search, and forecasting with Walk-Forward validation. The results show that the Category Boosting model demonstrates strong generalization capability, achieving an R2 value above 0.9 in the best scenario even when tested using a strict Walk-Forward validation method. Furthermore, the model underwent a sensitivity analysis and proved capable of projecting production trends up to 2027 under ±10% climate fluctuation scenarios. These findings indicate that Category Boosting is effective in modeling the complex relationship between climate variables and plantation production, providing a reliable foundation for agricultural policy planning and national food security strategies