OPTIMIZATION OF PROCESSED FISHERY PRODUCTS ON TELUK SANTONG VILLAGE USING LINEAR PROGRAMMING METHOD

This study aims to optimize processed fishery products in Teluk Santoni Village with a constraint factor: Fish Resources (SDI) availability. The analytical tool used in this research is linear programming, maximizing the profit of processed fishery products with limitations on the availability of human resources, production capacity, and total production costs. Based on the results of data analysis with the help of the Linear Program Solver (LiPS) software, it was found that to obtain maximum profit, the strategy that needs to be done is to produce crabs 10/3 times the average amount, 2.5 times salty, empek-empek and shrimp paste, produced two times the usual production amount and did not produce shredded fish and fish crackers. The total profit obtained from the optimization is Rp. 18.85 million per month. KEYWORDS: optimization, processed fishery products, linear programming

Estimation of Evapotranspiration and Its Components across China Based on a Modified Priestley–Taylor Algorithm Using Monthly Multi-Layer Soil Moisture Data

Although soil moisture (SM) is an important constraint factor of evapotranspiration (ET), the majority of the satellite-driven ET models do not include SM observations, especially the SM at different depths, since its spatial and temporal distribution is difficult to obtain. Based on monthly three-layer SM data at a 0.25° spatial resolution determined from multi-sources, we updated the original Priestley Taylor–Jet Propulsion Laboratory (PT-JPL) algorithm to the Priestley Taylor–Soil Moisture Evapotranspiration (PT-SM ET) algorithm by incorporating SM control into soil evaporation (Es) and canopy transpiration (T). Both algorithms were evaluated using 17 eddy covariance towers across different biomes of China. The PT-SM ET model shows increased R2, NSE and reduced RMSE, Bias, with more improvements occurring in water-limited regions. SM incorporation into T enhanced ET estimates by increasing R2 and NSE by 4% and 18%, respectively, and RMSE and Bias were respectively reduced by 34% and 7 mm. Moreover, we applied the two ET algorithms to the whole of China and found larger increases in T and Es in the central, northeastern, and southern regions of China when using the PT-SM algorithm compared with the original algorithm. Additionally, the estimated mean annual ET increased from the northwest to the southeast. The SM constraint resulted in higher transpiration estimate and lower evaporation estimate. Es was greatest in the northwest arid region, interception was a large fraction in some rainforests, and T was dominant in most other regions. Further improvements in the estimation of ET components at high spatial and temporal resolution are likely to lead to a better understanding of the water movement through the soil–plant–atmosphere continuum.

Key factors of entrepreneurial university transformation: a model development using ISM method and MICMAC analysis

PurposeThis study aims to develop a new entrepreneurial university model that will provide a comprehensive picture and explain how universities can become entrepreneurial by considering several factors, both internal and external.Design/methodology/approachThis research collected data by conducting a survey and elaborates on the judgments of informants who are experts in their fields. The gathered data were analyzed with the ISM method and MICMAC analysis.FindingsThis study identifies key factors of entrepreneurial university transformation, specifically, five key success factors and one constraint factor.Research limitations/implicationsThis study has limitations in terms of its in conducting interview techniques. Data collection, which should be maximized in producing agreement through focus group discussions, can more acutely identify factors through consensus.Practical implicationsThis study provides an overview of how universities may transform, following a path to become entrepreneurial by paying attention to the factors driving this transformation. The model demonstrates that while the university plays a central role, the participation of other parties within the ecosystem is also important.Originality/valueThis modeling technique deconstructs a complex system into several sub-systems, so that it can be studied in greater depth. Using ISM and MICMAC, a hard system methodology, this study advances a different and more comprehensive model.

How Task Constraints Influence the Gaze and Motor Behaviours of Elite-Level Gymnasts

Perception-action coupling is fundamental to effective motor behaviour in complex sports such as gymnastics. We examined the gaze and motor behaviours of 10 international level gymnasts when performing two skills on the mini-trampoline that matched the performance demands of elite competition. The presence and absence of a vaulting table in each skill served as a task-constraint factor, while we compared super-elite and elite groups. We measured visual search behaviours and kinematic variables during the approach run phase. The presence of a vaulting table influenced gaze behaviour only in the elite gymnasts, who showed significant differences in the time spent fixating on the mini-trampoline, when compared to super-elite gymnasts. Moreover, different approach run characteristics were apparent across the two different gymnastic tasks, irrespective of the level of expertise, and take-off velocity was influenced by the skill being executed across all gymnasts. Task constraints and complexity influence gaze behaviours differed across varying levels of expertise in gymnastics, even within a sample of international level athletes. It appears that the time spent fixating their gazes on the right areas of interest during the approach run is crucial to higher-level performance and therefore higher scores in competition, particularly on the mini-trampoline with vaulting table.

Improved the Accuracy of Seafloor Topography from Altimetry-Derived Gravity by the Topography Constraint Factor Weight Optimization Method

Gravity geologic method is one of the important to derive seafloor topography by using altimetry-gravity, and its committed step is gridding of regional gravity anomaly. Hence, we proposed a topography constraint factor weight optimization (TCFWO) method based on ordinary kriging method. This method fully considers the influence of topography factors on the construction of regional gravity grid besides horizontal distance. The results of regional gravity anomaly models constructed in the Markus-Wake seamount area show that the TCFWO method is better than ordinary kriging method. Then, the above two regional gravity models were applied to invert the seafloor topography. The accuracy of derived topographic models was evaluated by using the shipborne depth data and existing seafloor topography models, including ETOPO1 and V19.1 model. The experimental results show that the accuracy of ST_TCFWO (seafloor topography model inverted by TCFWO method) is better than ST_KR (seafloor topography model inverted by kriging method) and ETOPO1 model. Compared with the ST_KR, the accuracy of the ST_TCFWO has improved about 26%. In addition, the accuracy of seafloor topography is affected by the variation of depth, the distribution of control points and the type of terrain. In different depth layers, the ST_TCFWO has better advantages than ST_KR. In the sparse shipborne measurements area, the accuracy of ST_TCFWO is better than that of V19.1, ETOPO1 and ST_KR. Moreover, compared to other models, ST_TCFWO performs better in flat submarine plain or rugged seamount area.

Participant Recruitment Method Aiming at Service Quality in Mobile Crowd Sensing

With the rapid popularization and application of smart sensing devices, mobile crowd sensing (MCS) has made rapid development. MCS mobilizes personnel with various sensing devices to collect data. Task distribution as the key point and difficulty in the field of MCS has attracted wide attention from scholars. However, the current research on participant selection methods whose main goal is data quality is not deep enough. Different from most of these previous studies, this paper studies the participant selection scheme on the multitask condition in MCS. According to the tasks completed by the participants in the past, the accumulated reputation and willingness of participants are used to construct a quality of service model (QoS). On the basis of maximizing QoS, two heuristic greedy algorithms are used to solve participation; two options are proposed: task-centric and user-centric. The distance constraint factor, integrity constraint factor, and reputation constraint factor are introduced into our algorithms. The purpose is to select the most suitable set of participants on the premise of ensuring the QoS, as far as possible to improve the platform’s final revenue and the benefits of participants. We used a real data set and generated a simulation data set to evaluate the feasibility and effectiveness of the two algorithms. Detailedly compared our algorithms with the existing algorithms in terms of the number of participants selected, moving distance, and data quality. During the experiment, we established a step data pricing model to quantitatively compare the quality of data uploaded by participants. Experimental results show that two algorithms proposed in this paper have achieved better results in task quality than existing algorithms.

PENGELOLAAN KANTIN SEHAT BINTANG SATU

Abstrak: Penelitian ini bertujuan untuk mendeskripsikan tentang Pengelolaan Kantin Sehat Bintang Satu di Sekolah MTs Negeri 1 Palangka Raya. Menggunakan pendekatan kualitatif dengan rancangan studi kasus, sumber data dalam penelitian ini meliputi: Kepala Sekolah, Pengelola kantin sehat, dan Pedagang kantin sehat. Teknik pengumpulan data menggunakan observasi, wawancara dan dokumentasi. Analisis data dilakukan melalui: Reduksi data, Penyajian data, dan Penarikan Kesimpulan. Pengabsahan data menggunakan teknik triangulasi. Hasil penelitian ini menunjukkan bahwa: (1) perencanaan kantin sehat bintang satu di MTs Negeri 1 Palangka Raya meliputi: penentuan lokasi kantin sehat, identifikasi kebutuhan kantin sehat, penetapan petugas atau pengelola kantin sehat, penetapan anggaran, fasilitas dan jalwal pelayanan kantin sehat; (2) Pengorganisasian kantin sehat sudah sesuai denagn rencana karena setiap anggota sudah mengetahui peran masing- masing, (3) Pelaksanaan kantin sehat bintang satu berjalan dengan baik; (4) Pengawasan kantin sehat dilakukan oleh pihak sekolah beserta stakholder; dan (5) Faktor pendukung adalah tersedianya fasilitas kantin yang memadai sehingga terwujud kantin sehat dan seluruh warga sekolah ingin mensukseskan program kantin sehat; sedangkan faktor kendala yaitu pedagang yang kurang inovasi sehingga terdapat dagangan yang sama. Abstract: This study aims to describe the management of the One Star Healthy Canteen at MTs Negeri 1 Palangka Raya School. Using a qualitative approach with a case study design, the data sources in this study include: school principals, healthy canteen managers, and healthy canteen traders. Data collection techniques using observation, interviews and documentation. Data analysis was performed through: data reduction, data presentation, and conclusion drawing. The data validation used triangulation technique. The results of this study indicate that: (1) planning a one- star healthy canteen at MTs Negeri 1 Palangka Raya includes: determining the location of a healthy canteen, identifying the needs for a healthy canteen, determining the staff or manager of a healthy canteen, determining the budget, facilities and services for the healthy canteen; (2) The organization of the healthy canteen is in accordance with the plan because each member already knows their respective roles, (3) The implementation of the one-star healthy canteen is going well; (4) Supervision of the healthy canteen is carried out by the school and its stakeholders; and (5) The supporting factor is the availability of adequate canteen facilities so as to create a healthy canteen and all school members wish to succeed the healthy canteen program; while the constraint factor is traders who lack innovation so that there are the same merchandise.

ANALISIS SAHABAT SENSUS PADA SENSUS PENDUDUK ONLINE 2020 DI WILAYAH KALIMANTAN BARAT

Implementation of 2020 census of Indonesian Population is the government’s first step in realizing One Indonesian Population Data. The online census of Indonesian population is one of the stages of the 2020 census of Indonesian Population where residents can enter their information independently through the website. In order to increase public participation in 2020 online census of Indonesian population, BPS Collaborates with universities throughout Indonesia, one of which is the Mathematics Department of Tanjungpura University Pontianak as a census friend. This study aims to provide an overview of the publicity of the online census and its responses as well as the obstacles experienced by census friends, to determine the factors that affect the constraints of census friends, and to examine the effect of gender variables on the constraints of census friends. The results of the analysis show that the social media used in the publication of the 2020 online census are Instagram, WhatsApp, Facebook, Telegram, Twitter, and Sestyc. The obstacles experienced by census friends amounted to twelve obstacles. The constraint factor which is formed from the factoring process produces two factors. Besides, it was found that there was no influence between the sexes on the constraints of census friends. Pelaksanaan Sensus Penduduk Indonesia Tahun 2020 merupakan langkah awal pemerintah dalam mewujudkan Satu Data Kependudukan Indonesia. Sensus Penduduk Indonesia secara online merupakan salah satu tahapan dari Sensus Penduduk Indonesia Tahun 2020 dimana penduduk dapat memasukkan informasinya secara mandiri melalui website yang telah disediakan. Dalam rangka meningkatkan partisipasi masyarakat dalam pencacahan penduduk Indonesia secara online tahun 2020, BPS bekerja sama dengan 43 perguruan tinggi di seluruh Indonesia, salah satunya Jurusan Matematika Universitas Tanjungpura Pontianak sebagai sahabat sensus. Penelitian ini bertujuan untuk memberikan gambaran tentang publisitas sensus online beserta tanggapannya serta kendala yang dialami oleh sahabat sensus, menentukan faktor-faktor yang mempengaruhi kendala teman sensus, dan untuk menentukan pengaruh variabel jenis kelamin terhadap kendala tersebut. Hasil analisis menunjukkan bahwa media sosial yang digunakan dalam publikasi sensus online 2020 adalah Instagram, WhatsApp, Facebook, Telegram, Twitter, dan Sestyc. Hambatan yang dialami teman sensus berjumlah dua belas kendala. Faktor kendala yang terbentuk dari proses faktorial menghasilkan dua faktor. Selain itu, tidak ditemukan adanya pengaruh antar jenis kelamin terhadap kendala sahabat sensus.

Video coding and constant quality evaluation using 4k aomenc-AV1 and rav1e-AV1 formats

It is much expected from the relatively novel, open, royalty-free AV1 (Alliance for Open Media (AOMedia) Video 1) standard. At this moment, there are many new variants of AV1 format. It is designed for efficient video internet delivery and high-quality video transmission. AV1 is recognized as Google?s VP9 format successor. One of the reference tools used so far for testing AV1 is libaom- AV1. Nevertheless, due to its time-consuming performance, there are now different available standalone solutions for experimental analysis. Here, one such solution AOMedia?s standalone aomenc (aomenc-AV1) is tested in order to analyze quality assessment based on constant quality constraint factor. Three different metrics are calculated for various 4k video content of the same frame rate. Moreover, rav1e implementation was tested for the same visual data, where rav1e-AV1 also represents an AV1 video encoder, which is considered reliable and suitable in most cases, where libaom is not applicable. In this paper, the comparison results between aomenc-AV1 and rav1e-AV1 are shown.