Pengaruh Kualifikasi Akademik dan Prestasi Akademik Dosen terhadap Mutu Pembelajaran

Jenis penelitian ini adalah penelitian kuantitatif dengan pendekatan metodologis bercorak positivistic dan pendekatan ilmiah yang meliputi pendekatan pedagogis, psikologis, dan sosiologis. Responden dalam penelitian ini adalah dosen unismuh Makassar yang berjumlah 83 orang dengan teknik pengambilan sampel secara purposive(Purposive Sampling) Metode pengumpulan data yang digunakan adalah observasi, dokumentasi dan koesioner. Teknik pengolahan data dilakukan melalui analisis deskriptik dan analisis linear berganda. Hasil penelitian yang diperoleh adalah : 1) Tingkat Kualifikasi akademik Dosen di Unismuh Makassar berkategori baik dengan indicator jenjang pendidikan (74,7%), penguasaan materi (79,55), metode (73,1%), media dan sumber belajar (92,8%), dan kemampuan interaksi edukasi dalam proses belajar mengajar (98,8%) 2) Tingkat Prestasi Akademik Dosen di Unismuh Makassar berdasarkan indikator. kemampuan lisan, kemampuan tulisan, keterampilan , dan kemampuan pemecahan masalah berada pada kategori sedang. 3) Mutu Pembelajaran di Unismuh Makassar berdasarkan indicator input, proses, out put dan outcome berada pada kategori tinggi. 4) Tidak terdapat pengaruh yang signifikan kualifikasi akademik terhadap mutu pembelajaran di unismuh Makassar terbukti dari nilai signifikansi 0, 502F tabel, berarti nilai signifikan lebih kecil dari nilai probabilitas (0,03< 0, 05) yang berarti bahwa kualifikasi akademik dan perstasi akademik Dosen secara simultan berpengaruh signifikan terhadap mutu pembelajaran di Unismuh Makassar

Conversion of biomass to adsorbent: a review

Tons of biomass are produced every year including organic agricultural and forestry by-products but they are of limited value. Mostly, in the developing countries, the biomasses are considered as waste and are being burnt or thrown to liter the environment as part of teaming solid waste. Presently, there are no sustainable long-term management strategies to use biomass. The utilization of biomass to produce activated carbon is a good approach that is industrially useful and environmentally benign materials. The adsorption technique is using adsorbents in the removal of heavy metals from water therefore, biomass can be converted to the adsorbent and utilized as a waste-to-wealth commodity in water purification. In this review, the suitable process for conversion of biomass to cheap and simple means of obtaining activation carbon as adsorbent is presented. The potential uses of biomass and the conversion stages including carbonization, pyrolysis, gasification, and activation were discussed. This work depicts that the issue of solid waste utilization to solve existing issues with locally available and cheap materials is beneficial to man and the environment

Recent advances in hydrothermal carbonisation:from tailored carbon materials and biochemicals to applications and bioenergy

Introduced in the literature in 1913 by Bergius, who at the time was studying biomass coalification, hydrothermal carbonisation, as many other technologies based on renewables, was forgotten during the "industrial revolution". It was rediscovered back in 2005, on the one hand, to follow the trend set by Bergius of biomass to coal conversion for decentralised energy generation, and on the other hand as a novel green method to prepare advanced carbon materials and chemicals from biomass in water, at mild temperature, for energy storage and conversion and environmental protection. In this review, we will present an overview on the latest trends in hydrothermal carbonisation including biomass to bioenergy conversion, upgrading of hydrothermal carbons to fuels over heterogeneous catalysts, advanced carbon materials and their applications in batteries, electrocatalysis and heterogeneous catalysis and finally an analysis of the chemicals in the liquid phase as well as a new family of fluorescent nanomaterials formed at the interface between the liquid and solid phases, known as hydrothermal carbon nanodots

KUALITAS SENSORIS YOGHURT SINBIOTIK MENGGUNAKAN PATI TERMODIFIKASI DARI UMBI UWI UNGU (Dioscorea alata)

YOGHURT SINBIOTIK SENSORY QUALITY USING MODIFIED STARCH FROM BULBS UBE PURPLE (Dioscorea Alata). The materials used in this study were 4.800 ml UHT milk, skim milk 8%, 6% sucrose, starch modified from Uwi purple tuber (Dioscorea alata) with a concentration of 0%, 0.1%, 0.2%, 0.3% , 0.4%, 0.5%, distilled water, alcohol, spritus, Thermopilus Streptococcus bacteria, Lactobacillus bulgaricus, Lactobacillus rhamnosus, and materials that were used for sensory testing is mineral water, and cucumber. This study uses a completely randomized design (CRD) with 6 treatments and the panelists were as replications. Organoleptic data measurement using hedonic test using 44 trained panelists. For a highly significant variable followed by HSD test. The variables were the color, aroma, texture, consistency and taste. Results of analysis of variance showed that the administration of the modified starch from Uwi purple tuber (Dioscorea alata) highly significant for color, aroma, texture, consistency and taste. Treatment with modified starch provision of uwi purple tuber (Dioscorea alata) as much as 0,4% of the best value of sensory qualities in the taste and texture of synbiotic yoghurt.Keywords: yoghurt, modified starch, tuber uwi purple, sensory propertie

Hybrid Model Feature Selection with the Bee Swarm Optimization Method and Q-Learning on the Diagnosis of Coronary Heart Disease

Coronary heart disease is a type of cardiovascular disease characterized by atherosclerotic plaque, which causes myocardial infarction or sudden cardiac death. Since this sudden heart attack has no apparent symptoms, the early detection of the risk factors for coronary heart disease is required. Many studies have been conducted to diagnose heart disease, including studies that tested various classifiers, feature selection and detection models on several coronary heart disease datasets. As a result, this research aims to learn about the effect of the bee swarm optimization algorithm combined with Q-learning for optimizing the feature selection in improving the prediction of heart disease. This detection model was tested against various classification methods and evaluated against multiple performance measures, such as accuracy, precision, recall and the area under curve (AUC), to identify the best model for heart disease prediction and the benefit of the medical community. The test results show that the proposed method outperforms the existing process regarding the feature selection

Klasterisasi Karakter Konsumen terhadap Kecenderungan Pemilihan Produk Menggunakan K-Means

Permasalahan yang sedang ada di toko saat ini adalah kesulitan untuk mengetahui produk yang saat ini banyak diminati atau paling banyak digunakan oleh konsumen agar dapat diketahui dari masing-masing variabel karakteristik konsumen lebih cenderung memilih produk yang disukai. Oleh karena itu, dalam penelitian pengelompokkan dengan metode K-Means untuk pemilihan produk merupakan salah satu cara untuk mengetahui pilihan pelanggan terhadap produk yang dikonsumsi. Karena metode K-Means mempunyai hasil pembagian yang lebih akurat. Penelitian ini melakukan proses data mining untuk membantu toko agar dapat mengetahui karakteristik konsumen terhadap kecenderungan pemilihan produk dengan melakukan penggalian data menggunakan salah satu metode data mining yaitu pengelompokkan data. Pada penelitian ini melakukan pengelompokkan dari data hasil penyebaran angket atau kusioner yang disebar di toko, kemudian data tersebut di kelompokkan menjadi 2 kelompok menggunakan salah satu algoritma klasterisasi yaitu K-Means. Data yang digunakan merupakan data yang dikumpulkan sebanyak 366 data tanggapan pelanggan toko. Setelah data tersebut diproses menggunakan algoritma K-Means, menunjukkan bahwa cluster 1 merupakan kelompok konsumen tipe A dengan presentase sebesar 33%, sedangkan cluster 2 merupakan kelompok konsumen tipe B dengan presentase sebesar 67%

Pengaruh Kompetensi Supervisi dan Manajerial Kepala Madrasah terhadap Mutu Pendidikan di Madrasah Tsanawiyah Se-kecamatan Gantarang Kabupaten Bulukumba

This study attempts to describe supervision competence and managerial competence of the heads schools, to describe educational quality of Islamic Junior High Schools (MTS), and then to analyze the influence of the supervision competence and managerial competence toward educational quality of MTS both partially and simultaneously in Gantarang District, Bulukumba Regency. This study is ex-post facto. The population is all the teachers of all private MTS with accredited A. It is analyzed all the teachers as the sample with 54 people of all. Method of data collection is through questionnaires about supervision competence, also using data analysis, and multiple regressions. The results of the study obtained that the supervision competence and the managerial competence of the head is in the medium category. The supervision competence of the head schools significantly influences the quality of education. The managerial competence of the head schools significantly influences the quality of education. Both supervision competence and managerial competence of the heads of schools have the significantly influencer toward educational quality of MTS, in Gantarang district, Bulukumba Regency

Modular Cryogenic Energy Storage System: Simulation and Techno-Economic Analysis.

Sustaining economic growth while reducing reliance on fossil fuels for environmental protection is a global challenge. Efforts are made to decrease energy utilization by enhancing energy efficiency and discovering clean renewable energy sources. Cryogenic energy storage (CES) is a grid-scale energy system where electricity is stored in the form of liquefied gas. It is regarded as a solution because it allows for increased electricity generation while also providing economic benefits by avoiding costly operational consequences. The CES was modeled and simulated in Aspen HYSY V8.8 using three system confirmations: standalone adiabatic, waste heat integration, and combustion integration. Unlike in the conventional CES, Dowtherm-Q was used as the thermal fluid due to its thermal stability, non-corrosiveness, and high temperature resistance. The results indicated that the higher the adiabatic efficiency of the turbine, the greater the power generated; also, increasing the turbine inlet temperature enhanced the performance of the system configuration by lowering the pressure and increasing the power of the turbine. The economic analysis revealed that the waste heat-based system has both the lowest operating cost, capital cost, utility cost, and higher energy savings. Waste heat integration produces the most power (653.70 kW) and saves the most energy (69.58%), with lower capital costs, operating costs, and utility costs due to the increased adiabatic efficiency of the turbine. It implies that CES with waste heat integration is economically more promising compared to adiabatic standalone and the integration of combustion. &nbsp

An Experimental and Kinetic Study of the Sorption of Carbon Dioxide onto Amine-Treated Oil Fly Ash

A new CO2 adsorbent is produced from waste oil fly ash (OFA). Ammonium hydroxide solution is used to convert OFA to activated carbon. Then, the product is used for the adsorption of CO2 from a nitrogen/carbon dioxide (N2/CO2) gas mixture. The OFA samples are characterized by several techniques. Chemical treatment of OFA considerably changed its surface morphology. In particular, its surface area, as determined by BET measurements, increased from 59 to 318 m2/g. The amine-functionalized ash had a monolayer adsorption capacity of 74.51 mg/g and was obtained at relative pressure, 0.05<p/ps<0.35. A kinetics study showed that the CO2 adsorption capacity of OFA increased with increasing CO2 flow rates and concentrations and decreasing the relative humidity. Unlike physical adsorption, the chemisorption process resulted in increased adsorption capacity with increasing temperatures over the range 0–40°C. We also found that the adsorption process was endothermic (80–173 kJ/mol). The isotherm data for the adsorption process were fitted using different models. The saturation capacity determined from the Sips model, which corresponds to the sum of the saturation capacities of all of the adsorbed layers, was 540.3 mg/g of ash