Forecasting the number of passengers can be a consideration for managers of Gorontalo Crossing Port regarding the provision of tickets. The number of passengers can be influenced by certain seasonal or special events. To see the special events that affect the number of passengers arriving at Gorontalo Crossing Port, the forecasting method used is the Exponential Smoothing Event Based (ESEB) method. The seasonal influences can be known through historical data patterns and using the Winter’s Exponential Smoothing (WES) method. After compared, the ESEB method is a better method of forecasting the number of arriving passengers at Gorontalo Crossing Port because it has a smaller MAPE value than the WES method.

As a form of purchased goods from other state’s imports have impacts both positive and negative to the states’s condition; therefore, prediction is required. Employing Autoregressive Integrated Moving Average (ARIMA) and Holt’s Double Exponential Smoothing (DES) methods, this study intends to identify which of the methods is the most accurate to predict Indonesia’s import value.  The ARIMA method stage involved: data ploting, data stasioneriation, temporary model identification, parameter estimation, test residual assumption, and prediction. Moreover, the Holt’s DES method involved: data plotting, initial value determination, optimal parameter identification, Level Lt and Trend Tt value quantification, andprediction. The result shows that ARIMA method is the most accurate method to predict Indonesia’s import value.

The vector autoregressive (VAR) model is a simultaneous equation modeling used to construct forecasting systems from interrelated time-series data. This study intends to predict factors that significantly influence inflation in the province of Gorontalo. Moreover, the data used in this study involved inflation data and factors that influence inflation every month in the province in the period of January 2009 - December 2018. The results of inflation forecasting in Gorontalo in 2019 show that at the beginning of 2019, the inflation was considered to be very low at around -0.48% to -0.40%. However, the inflation surged in March with -0.25% (the highest inflation rate). The percentage decreased to -0.30% and -0.33% in April and May. After the decline in April and May, in the middle of the year (June) inflation returned to -0.31% and did not experience a significant change until the end of the year, which was still in the range of -0.32%. The accuracy of the prediction results seen in the MAPE value from out sample data of variables Y1 to Y8 is on the average below 10%, indicating that VAR is a significant forecasting model.

Queues are often found in public service providers, including port services. Therefore, the InaPortNet scheme was developed to facilitate and minimize queues in and out of ships. Also, service performance was optimized through behavior analysis and queuing system stability. This study focused on designing the max-plus algebra model and time estimation on the incoming ship service scheme. The results showed that the InaPortNet system is useful for modeling. Furthermore, the max-plus algebra matrix is used to obtain an estimated service time from registration to the ship docking process at the port. However, further study needs to be carried out by scheduling the max-plus algebraic matrix in order to analyze the behavior and stability of the queuing system

Esensi dari para ahli mengantarkan model pembelajaran konstruktivisme menjadi pilihan yang tepat dalam menjalankan proses pembelajaran matematika di masa pandemi, hal ini dikarenakan konstruktivisme merupakan suatu model pembelajaran yang menjadikan siswa sebagai peserta didik aktif untuk membangun sendiri pengetahuannya. Melatih mahasiswa mengimplementasikan kegiatan Tridharma Perguruan Tinggi yaitu Pendidikan dan Pengajaran, Penelitian dan Pengabdian Masyarakat dalam waktu yang bersamaan. Di mana pada kegiatan ini mahasiswa adalah Tutor untuk masyarakat dalam rangka pembuatan media dan pada saat bersamaan mahasiswa melakukan penelitian serta berinteraksi dengan masyarakat melalui kegiatan pendataan dan pelatihan, melatih mahasiswa agar memiliki komitmen terhadap tujuan KKN yang ditujukan untuk memberikan pelayanan yang berkualitas pada individu, keluarga dan komunitas/masyarakat dan mendorong partisipasi mahasiswa untuk mengaplikasikan program pemerintah di masyarakat, Mendorong partisipasi masyarakat agar turut aktif dalam proses pemanfaatan bahan bekas dalam penyediaan media pembelajaran untuk mengenalkan konsep matematika awal pada masa pandemi dan meningkatkan pengetahuan dan pemahaman masyarakat tentang arti penting dari model pembelajaran dalam mengenal konsep matematika. Adapun yang mejadi hasil dari kegiatan ini adalah Luaran praktis Terimplementasinya model pembelajaran konstruktivisme dalam pembelajaran matematika pada siswa di desa Huyula Kab. Pohuwato dan Luaran wajib yaitu laporan hasil pelaksanaan KKN, catatan harian kegiatan, catatan keuangan, laporan kegiatan mahasiswa, Publikasi media massa.