Determinan Kinerja Keuangan dengan Size sebagai Pemoderasi pada Perusahaan Food and Beverages yang Terdaftar di BEI

This study aims to understand the effect of liquidity ratios and solvency ratios on financial performance with size as a moderator for food and beverages companies listed on the Indonesia Stock Exchange in 2017-2020. This research method is descriptive quantitative. The research sample was determined using a purposive sampling technique with a total sample of 17 food and beverages companies listed on the IDX in 2017-2020. The analysis method used in this research is Moderated Regression Analysis. Hypothesis testing was carried out using a partial test (t test) and a simultaneous test (F test). The results show, a) the current ratio has no effect on financial performance; b) DER has an effect on financial performance; c) company size is unable to moderate the effect of liquidity on financial performance; d) while the size of the company is able to moderate the effect of solvency on financial performance. In conclusion, a) liquidity does not contribute to the financial performance of food and beverages companies listed on the Indonesia Stock Exchange in 2017-2020; b) solvency contributes to the financial performance of food and beverages companies listed on the Indonesia Stock Exchange in 2017-2020; c) company size cannot moderate the relationship between liquidity and financial performance in food and beverages companies listed on the Indonesia Stock Exchange in 2017-2020; d) company size can moderate the relationship between solvency and financial performance in food and beverages companies listed on the Indonesia Stock Exchange in 2017-2020. Keywords: Financial Performance, Liquidity, Solvency, Firm Siz

THE EFFECT OF ENVIRONMENTAL CONDITION CHANGES ON DISTRIBUTION OF URBAN HEAT ISLAND IN JAKARTA BASED ON REMOTE SENSING DATA

Anthropogenic activities of urban growth and development in the area of Jakarta has caused increasingly uncomfortable climatic conditions and tended to be warmer and potentially cause the urban heat island (UHI). This phenomenon can be monitored by observing the air temperature measured by climatological station, but the scope is relatively limited. Therefore, the utilization of remote sensing data is very important in monitoring the UHI with wider coverage and effective. In addition, the remote sensing data can also be used to map the pattern of changes in environmental conditions (microclimate). This study aimed to analyze the effect of changes in environmental conditions (land use/cover, Normalized Difference Vegetation Index (NDVI) and Normalized Difference Build-up Index (NDBI)) toward the spread of the urban heat island (UHI). In this case, the UHI was identified from pattern changes of Land Surface Temperature (LST) in Jakarta based on data from remote sensing. The data used was Landsat 7 in 2007 and Landsat 8 in 2013 for parameter extraction environmental conditions, namely: land use cover, NDVI, NDBI, and LST. The analysis showed that during the period 2007 to 2013, there has been a change in the condition of the land use/cover, impairment NDVI, and expansion NDBI that trigger an increase in LST and the formation of heat islands in Jakarta, especially in the area of business centers, main street and surrounding area, as well as in residential areas

APPLICATION OF CMORPH DATA FOR FOREST/LAND FIRE RISK PREDICTION MODEL IN CENTRAL KALIMANTAN

Central Kalimantan Province is a region with high level of forest/land fire, especially during dry season. Forest/land fire is a dangerous ecosystem destroyer factor, so it needs to be anticipated and prevented as early as possible. CMORPH rainfall data have good potential to overcome the limitations of rainfall data observation. This research is aimed to obtain relationship model between burned acreage and several variables of rainfall condition, as well as to develop risk prediction model of fire occurrence and burned acreage by using rainfall data. This research utilizes information on burned acreage (Ha) and CMORPH rainfall data. The method applied in this research is statistical analysis (finding correlation and regression of two phases), while risk prediction model is generated from the resulting empirical model from relationship of rainfall variables using Monte Carlo simulation based on stochastic spreadsheet. The result of this study shows that precipitation accumulation for two months prior to fire occurrence (CH2Bl) has correlation with burned acreage, and can be estimated by using following formula (if rainfall ≤ 93 mm): Burnt Acreage (Ha) = 5.13 – 21.7 (CH2bl – 93) (R2 = 67.2%). Forest fire forecasts can be determined by using a precipitation accumulation for two months prior to fire occurrence and Monte Carlo simulation. Efforts to anticipate and address fire risk should be carried out as early as possible, i.e. two months in advance if the probability of fire risk had exceeded the value of 40%

Analisis Aksesibilitas Website Jurusan Sistem Informasi Universitas Multimedia Nusantara

Saat ini website berperan sangat penting untuk universitas, mengingat website dapat menjadi media komunikasi yang sangat efektif antara pihak universitas dengan mahasiswa. Universitas Multimedia Nusantara (UMN) menyediakan domain untuk pembuatan website jurusan, sebagai contoh jurusan di UMN yang memiliki website jurusan adalah Sistem Informasi. Untuk dapat mempertahankan kualitas website jurusan Sistem Informasi UMN, perlu dilakukannya evaluasi. Salah satu indikator dari evaluasi yang dapat dilakukan adalah aksesibilitas website.Evaluasi Aksesibilitas website baiknya dilakukan pertiga bulan, karena website yang aksesibel dapat memberikan kemudahan tidak hanya perguruan tinggi tapi juga mahasiswa untuk dapat memahami, menavigasi dan berkontrubusi untuk website.Pedoman yang dapat digunakaan untuk evaluasi aksesibilitas website adalah Web Content Accessibility Guidelines (WCAG) Penelitian ini menggunakan bantuan tools evaluasi AChecker dan WAVE untuk mengevaluasi website jurusan Sistem Informasi UMN. Perhitungan Analytical Hierarchy Process (AHP) dilakukan agar mengetahui permasalahan yang mempengaruhi aksesibilitas website yang diuraikan dalam bentuk peringkat. Sehingga, pemberian rekomendasi perbaikan dapat dilakukan untuk dapat meningkatkan aksesibilitas website jurusan Sistem Informasi UMN. Hasil penelitian ini menunjukan bahwa website jurusan Sistem Informasi UMN masuk kedalam kategori aksesibilitas yang cukup. Kriteria Suksses WCAG 2.0 seperti 2.4.6 Heading and labels, 3.1.2 Language of part dan 2.1.1 Keyboard menjadi mayoritas permasalahan yang memperlukan perbaikan

RESILIENSI PADA REMAJA PUTUS SEKOLAH DI PUSAT KEGIATAN BELAJAR MASYARAKAT (PKBM) NARA KREATIF

Indah Prasasti Tramas. Resiliensi Pada Remaja Putus Sekolah di Pusat Kegiatan Belajar Masyarakat (PKBM) Nara Kreatif. Skripsi (Jakarta: Pendidikan Ilmu Pengetahuan Sosial, Fakultas Ilmu Sosial, Universitas Negeri Jakarta, 2023). Penelitian ini bertujuan untuk memperoleh gambaran mengenai resiliensi pada remaja putus sekolah di Pusat Kegiatan Belajar Masyarakat (PKBM) Nara Kreatif. Metode penelitian yang digunakan adalah metode deskriptif dengan pendekatan kualitatif. Teknik pengumpulan data yang digunakan melalui observasi, wawancara, dokumentasi, dan studi kepustakaan. Teknik penentuan sampel menggunakan purposive sampling. Penelitian ini dilakukan kepada remaja putus sekolah di PKBM Nara Kreatif Paket B titik Dukuh dengan kriteria usia remaja 12- 21 tahun. Berdasarkan hasil penelitian, peserta didik Paket B di titik Dukuh mengalami putus sekolah karena faktor internal dan eksternal. Faktor internal yaitu rendahnya tingkat motivasi dan kesadaran diri. Faktor eksternal yaitu hubungan orang tua yang tidak harmonis, ekonomi, dan perundungan. Hasil penelitian juga menunjukkan tingkat resiliensi pada remaja putus sekolah di PKBM Nara Kreatif titik Dukuh adalah sedang dan tinggi. Hal ini disebabkan oleh faktor-faktor yang memengaruhi resiliensi yaitu regulasi emosi, pengendalian impuls, optimis, analisis kausal, empati, efikasi diri dan reaching out. Kata Kunci: Resiliensi, Remaja, Putus Sekolah, Pusat Kegiatan Belajar Masyarakat. This study aims to obtain an overview of the resilience of adolescents dropping out of school at the Nara Kreatif Learning Center. The research method used is descriptive method with a qualitative approach. Data collection techniques used through observation, interviews, documentation, and literature study. The technique of determining the sample using purposive sampling. This research was conducted on out-of-school youth at Nara Kreatif Learning Center at Dukuh point with the criteria of adolescent age 12-21 years. Based on the results of the study, students at the Dukuh point dropped out of school due to internal and external factors. Internal factors due to low motivation and self-awareness. External factors are disharmonious parental relationships, the economy, and bullying. The results of the study also showed that the level of resilience in dropout youth at Nara Keatif Learning Center, Dukuh point was moderate and high. This is caused by factors that affect resilience, including emotional regulation, impulse control, optimism, causal analysis, empathy, self-efficacy and reaching out. Keywords: Resilience, Youth, Dropout, Nara Kreatif Learning Centers

Plate and faults boundary detection using gravity disturbance and Bouguer gravity anomaly from space geodesy

Nowadays, satellite technology has developed significantly. Geodesy satellites such as Grace and Grace-FO can be used for subsurface mapping. The mapping is in the form of detection of the plate details, faults, and regional geodynamic conditions. This study aims to detect plate and faults from space geodesy using the gravity disturbance and Bouguer gravity anomaly parameter. The study area is in the Sunda Strait. Gravity disturbance is one of the gravity model parameters. Gravity disturbance is the gravitational potential of the topography expressed by the spherical harmonic model and the topographic effect by Barthelmes's calculations. Gravity disturbance can visualize subsurface conditions. Bouguer gravity anomaly is needed to get the condition on subsurface objects. This parameter visualizes subsurface conditions in the form of rocks and non-rocks. These conditions can distinguish oceanic crust and continental crust. Gravity contours are needed to obtain plate and faults predictions. The results obtained are validated patterns and shapes with plate and faults secondary data. The tolerance used in this validation is 80%. The gravity disturbance parameter obtained a value of 83% in verifying the accuracy of assessment in plate and faults detection. The Bouguer gravity disturbance parameter obtained a verification value of accuracy assessment in plate detection but 65% in faults detection. This accuracy assessment uses pattern and texture parameters in detecting the similarity of two or more images. This plate and faults detection results are more detailed and can be used for geophysical, geological, earthquake, and earth dynamics applications

Pemanfaatan Teknologi Penginderaan Jauh untuk Monitoring Kejadian Iklim Ekstrem di Indonesia

Abstrak. Monitoring iklim ekstrim dan dampaknya terhadap pertanian di Indonesia memerlukan data dan sarana pengamatan yang luas dan intensif. Teknologi penginderaan jauh dapat memberikan solusi dalam monitoring iklim ekstrim dan dampaknya secara luas dan cepat. Tulisan ini mengulas tentang pemanfaatan teknologi penginderaan jauh untuk monitoring cuaca dan iklim ekstrim serta dampaknya terhadap kekeringan dan banjir khususnya bagi sektor pertanian, berdasarkan hasil-hasil penelitian yang telah dilakukan di Indonesia dan beberapa negara lain. Beberapa modelyang telah dikembangkan dan diaplikasikan di Indonesia menggunakan data penginderaan jauh resolusi rendah dan menengah secara tunggal maupun gabungan. Beberapa variabel yang dikaji dan diulas antara lain suhu awan, laju curah hujan, suhu permukaan tanah, indeks vegetasi dan turunannya, indeks lengas tanah dan turunannya dapat merepresentasikan kondisi cuaca dan iklim ekstrim, serta kondisi lahan yang rawan kekeringan atau banjir khususnya di Pulau Jawa dan Bali. Ketelitian model yang telah dikembangkan hingga saat ini dengan data GMS, MTSAT, TRMM, QMorph, MODIS, AVHRR, Landsat-7, SPOT-4, dan ALOS umumnya memadai untuk level nasional hingga level kabupaten dengan koefisien keragaman rata-rata berkisar antara 60% hingga 80%. Meskipun demikian, ketelitian model yang telah dihasilkan dan diaplikasikan masih perlu ditingkatkan. Sistem monitoring berbasis penginderaan jauh memiliki prospek yang sangat baik untuk terus digunakan di masa depan dengan memanfaatkan data yang lebih baru seperti Himawari-8, NPP-VIIRS, Landsat-8, SPOT-6, dan SPOT-7.Abstract. Monitoring of extreme climate and its impacts on agriculture in Indonesia need a lot of data as well as wide and intensive observation network. Remote sensing technology could provide better solution for a broader and rapid monitoring system of extreme climate and its impacts. This paper describes the applications of remote sensing technology on monitoring extreme weather and climate and their impacts on droughts and floods especially in agricultural sector, based on previous research results conducted in Indonesia and several other countries. Some models which have been developed and applied in Indonesia used low and medium resolution data single and combined techniques. Some derived variables were reviewed such as cloud temperature, rainfall rate, land surface temperature, vegetation index and its derivatives, soil moisture index and its derivatives could represent extreme weather and climate condition, as well as land susceptibility to droughts and floods in Java and Bali islands. The accuracy of models using GMS, MTSAT, TRMM, QMorph, MODIS, AVHRR, Landsat-7, SPOT-4, and ALOS to date is generally sufficient at national to district levels with averaged determinant coefficients range between 60% and 80%. However, the accuracy of resulted and applied models still need to be enhanced. Remote sensing-based monitoring system has a good prospect to be continuously implemented in the future using newer data such as Himawari-8, NPP-VIIRS, Landsat-8, SPOT-6, and SPOT-7

HOTSPOT VALIDATION OF THE HIMAWARI-8 SATELLITE BASED ON MULTISOURCE DATA FOR CENTRAL KALIMANTAN

The Advanced Himawari Imager (AHI) is the sensor aboard the remote-sensing satellite Himawari-8 which records the Earth’s weather and land conditions every 10 minutes from a geostationary orbit. The imagery produced known as Himawari-8 has 16 bands which cover visible, near infrared, middle infrared and thermal infrared wavelength potentials to monitor forestry phenomena. One of these is forest/land fires, which frequently occur in Indonesia in the dry season. Himawari-8 can detect hotspots in thermal bands 5 and band 7 using absolute fire pixel (AFP) and possible fire pixel (PFP) algorithms. However, validation has not yet been conducted to assess the accuracy of this information. This study aims to validate hotspots identified from Himawari images based on information from Landsat 8 images, field surveys and burnout data. The methodology used to validate hotspots comprises AFP and PFP extraction, determining firespots from Landsat 8, buffering at 2 km from firespots, field surveys, burnout data, and calculation of accuracy. AFP and PFP hotspot validation of firespots from Landsat-8 is found to have higher accuracy than the other options. In using Himawari-8 hotspots to detect land/forest fires in Central Kalimantan, the AFP algorithm with 2km radius has accuracy of 51.33% while the PFP algorithm has accuracy of 27.62%